Scientific Program

Keynote Talks

Abstract

Biography

Dr. Deepak Waikar, PD Adv Cert of University Teaching from University of Newcastle, Australia Associate Faculty for Singapore Programmes by Overseas Universities, Ex-Chair for IEEE Power & Energy Society, Singapore Chapter Senior Member of IEEE Power & Energy Society, USA Ex-Assistant Director of NPTI, Nagpur Chief Training Officer & Senior Consultant, Tacstra Solutions Pte Ltd, Signapore Managing Partner, EduEnergy Consultants LLP

Speaker
Deepak Waikar / University of Newcastle, Australia

Abstract

In today's smart grid environment existing fault diagnosis methodology emphasizes the need of more advanced, accurate and sturdy strategies. Presentdistribution networkschangedrasticallyduetoexpansionandinclusionof large number of distributed generation units into power systematdistributionlevel.Due to availability of sophisticated and information technology automation is possible in variety of day to day power system operations. Today’s passive distribution and sub distribution substations are converting into more active one. The key note speech will focus on the challenges faced by existing distribution substation companies from developing countries for the monitoring and control tasks and emphasizes the need of incorporating changes required to alleviate these problems towards sustainable development of their services. Some key features of smart distribution monitoring systems making use of different tools and techniques like smart sensors, smart meters, intelligent electronic devices with global positioning systems for communications, toperform the taskoffault location will be discussed. Fault diagnosis methodologies by making use of advanced signal processing techniques, wavelet feature extraction techniques will be presented. The talk will highlight the methods of achieving automation in fault diagnosis tasks, improved power quality, reliability, resilience and self-healing property of the smart grid distribution system.

Biography

Mrs. Mangal Hemant Dhend is working as an engineering college professor since last 25 years and contributed in various capacities for the development higher technical education. Recently she has received Distinguished Women Engineer award by Venus International. She has She has received many other awards like “SamparkMitra” , “Best teacher of Institute”(-7 times) and “Best Head of the Department” ( consecutive 3 years) and Best paper award . Her research topic is “Distribution system monitoring and fault diagnosis in smart grid system”.She has been invited by many countries like Singapore, Taiwan, China, UK, and Spain to present her research work related to smart grid in international conferences. She was invited as a session chairman for IEEE 5th international conference at UK in November 2016. She is an author of four books in High voltage engineering and Material science book of four universities in India. She has published more than 45 papers in International and National Journals and conferences.

Speaker
Mangal Hemant Dhend / SPP University, MS, India

Sessions:

Abstract

A simple interconnection network model with torus topology and the virtual cut-through routing have been considered in order to find out and analyze theoretically and to verify by simulation fundamental relationships between network and load parameters and network behavior. An expression for the saturation point (message generation rate at which network saturates) and approximate expressions for the latency (average delivery time)as a function of the message generation rate have been obtained. Simulation experiments for various values of network parameters (mesh size, message path length, and message length) and for the full range of network load have been performed. It has been found that if the mesh linear dimension is at least twice as large as the message path length (the distance from source to destination) the network behavior (latency and saturation point) does not depend on the mesh size. Both theoretical and empirical results show that the saturation point is inversely proportional to the message length. If the network is in the steady state, a good agreement with Little’s theorem has been observed.

Biography

LEV LEVITIN has earned his Ph.D. from the USSR Academy of Sciences in 1969. Since 1986 he is Distinguished Professor of Engineering Science at the Department of Electrical and Computer Engineering at Boston University. He has published over 200 papers, presentations, and patents. Professor Levitin is a Life Fellow of IEEE and a member of the International Academy of Informatics. He is a member of editorial boards of six scientific journals. YELENA RYKALOVA is currently with the Department of Computer Science, University of Massachusetts, Lowell, and a Visiting Researcher with the Department of Electrical and Computer Engineering at Boston University. She is a member of IEEE and SCS. Since 2008 she has been active in organization and preparation for the Spring Simulation Multiconferenceas Technical Committee Member, Reviewer, and Publicity and Session Chair.

Speaker
Lev B. Levitin / Boston University, USA

Abstract

The human brain is known as the ultimate frontier because of its complexity and undiscovered characteristics. Recently, in computing, there is an interest to study human’s behavior from the brain while they interact with user interfaces or machines to provide feedback to the user for self-regulation. This includes the explorationof decoding the interaction of brain’s neurons synapses for classification through Machine Learning. On the other hand, there is also an interest in manipulating robot’s actions through brain signals to enhance and supplement humans. In this talk, we discuss methods and its importance of quantifying the human brain through brain apparatus for providing feedback to users for self-quantification. We demonstrate that is possible to effectively measure the user’s affective and cognitive state from the brain while they interact with machines. It can provide different types of visualizations for further discovery. We will also discuss the new initiative of competitive brain-controlled drones through motor imagery and its importance to society.

Biography

Dr. Marvin Andujar received his PhD in Human-Centered Computing at the University of Florida. He is an Assistant Professor and Director of the Neuro-Machine Interaction Lab in the Department of Computer Science and Engineering at the University of South Florida. His work focuses on measuring the effectiveness of quantified-self attention feedback with EEG towards user’s attention improvement. He obtained $300,000 from the CEO of Intel along with his colleagues, and co-founded the world’s first Brain-Drone Race. The race was showcased in more than 550 news outlets including New York Times, Associated Press, Discovery Channel, and the Verge, and Engadget.

Speaker
Marvin Andujar / University of South Florida, USA

Abstract

Technology Study of HVDC Power System Implementation in Iran (E-BABE): The first electric generator was (DC) machine, as well as the first electric power transmission system by Thomas EdisonThe transmission and distribution of electrical energy started with direct current. In 1882, a 50-km-long2-KV (DC) transmission line was built between Miesbach and Munich in Germany At that time, conversion between reasonable consumer voltages and higher (DC) transmission voltages could only be realized by means of rotating (DC) machines. In an Ac system, voltage conversion is simple. An (AC) transformer allows high power levels and high insulation levels within one unit, and has low losses. It is a relatively simple device, which requires little maintenance. Further, a three-phase synchronous generator is superior to a (DC) generator in every respect. For these reasons, (AC) technology was introduced at a very early stage in the development of electrical power systems. It was soon accepted as the only feasible technology for generation, transmission and distribution of electrical energy. However,high-voltage (AC) transmission links have disadvantages,which may compel a change to (DC) technology .

Biography

Danial Farajzadeh was born in Tehran,Iran. He is a BSc. Student in Electrical Power Engineering in Department of Electrical and Computer Engineering at Buein Zahra Technical University Qazvin, Iran. His research interests includeRenewable Energy, Power System Operation, High Voltage Direct Current (HVDC), Electromagnetic protection. He is the head of the Damer Research Group and the R&DResearch Group andthe chief executiveIEEE IRAN SECTION (BZTU Student Branch).

Speaker
DanialFarajzadeh / Buein Zahra Technical University, Iran.

Abstract

The role of measuring devices in marine engineering and shipbuilding in general is undoubtedlyof great importance;the proper operation of a vessel relies heavily on the information provided from the installed sensors onboard which measure critical performance parameters. During the past three decades,miniaturization of sensors has led to the newly developed field of“microsensors” – an emerging field that grows rapidly,employing the vast advances in the semiconductor industry. As a consequence, sensorsonboard followed the same trend,taking their role one step further byincorporating semiconductor based technology to standard marine equipment.This talk aims to make an introduction to the use of micro-sensors in marine technology. Typical examples of micro-sensors such as gyroscopes, flow/pressure meters and magnetic pick-ups that areemployed on a modern vessel will be presented, including a briefanalysis on their principle of operation and corresponding application examples.

Biography

DimitrisN. Pagonis received his Master of Engineering degree in Electronic and Electrical engineering from the University of Loughborough, U.K., in 1999. He received his Master of Sciencedegree and his Ph.D. in the area of Microelectronics from the University of Athens, in 2001 and 2004 respectively.He joined Athens University of Applied Sciencesin 2010, where he is currently an Assistant Professor at the Department of NavalArchitecture. Dr. Pagonis has participated in various research projects while he has authored/co-authored one PCT patentand over 40 papers in international journals and peer-reviewed conferences. His research interests include siliconmicromachining, development and characterization of flow sensors (integrated/fabricated on PCB substrate),ship’s automation systems and development of measurement systems for marine engineering applications.

Speaker
Dimitrios-Nikolaos Pagonis / Athens University of Applied Sciences, Greece

Abstract

Determination of the bottom hole pressure in oil wells improves the quality and quantity of its products. However, intervening a well to fix gauges in the oil wells to determine Flowing Bottom-Hole Pressure (FBHP) is a risky and comprehensive task. The developed empirical models failed to provide a satisfactory and reliable tool for estimating this pressure in the oil wells. This paper proposes a Neurofuzzy technique to predict the flowing bottom-hole pressure in vertical oil wells using real measured data from different oil fields. Intensive experiments have been conducted and qualitative comparisons with Feed-Forward Neural Network with back-propagation algorithm, Radial Basis neural Network and empirical model have been accomplished. The achieved results show that the proposed Neurofuzzy technique is capable of estimating the FBHP with high accuracy and outperforms the other related approaches.

Biography

Medhat Hussein Ahmed Awadalla has completed his PhDand his postdoctoral studies from Cardiff University, UK, School of Engineering, 2005.BSc. and MSc. From Helwan University, Egypt. He is an Assistant Professor at Sultan Qaboos University, Oman. He has published more than 100 papers in reputed journals and Conferences. He is interested in the area of computing systems and real time systems.

Speaker
Medhat h a Awadalla, Hassan Yousef, Ahmed Al-Hanai / SQU University School of Engineering, Oman

Abstract

The world deals day in and day out with electrical power conversion— trillions of adjustments are made every second to deliver electricity from our wall outlets to power any of our electrical/electronic devices. These are made possible by systems that do the converting –called ‘Power Electronic Converters’, conventionally built using silicon. On an average, these converters are only 90 percent energy-efficient and the rest is lost as heat, costing us billions every year. And with increasing power density and efficiency requirements along with the environmental pollution control trends of the 21st century, Si devices are failing to meet these challenging demands. My research work aims to address this problem of electric power by exploring a better way of converting this ‘power’ using devices made of the novel material – ‘Gallium Nitride’ which are expected to jump-start the next generation of smaller, faster, denser, cheaper and hence, efficient power converters. Gallium Nitride (GaN) devices are now gaining momentum in the market with 600 V devices getting commercialized and industry keen to zero in on a high-volume application to drive the market. In this talk, I will introduce the GaN power electronics space, it’s potential applications, review the applicability of these devices in the real world and discuss whether they will compete or coexist in the Si dominated power electronics world.

Biography

Nikita is a Doctoral Scholar in Electrical Engineering at the University of Cambridge. She is a scientist , academic, engineer and social tech entrepreneur. Nikita is the co-founder of start-ups Wudi & Favalley & serves as the director of Innovation Disruption Cell, Probiz, mentor at Career Horn, research consultant at BrainAura, advisory board at Next Tech Lab & global ambassador at Queen Elizabeth Prize for Engineering. The recipient of ‘Top 50 Women in Engineering’, Developher Entrepreneur Award, Forbes and Hult Prize finalist with other numerous awards & recognition to her credit, she is a regular invited speaker at STEM outreach events and tech conferences. She has published more than 25 papers in reputed journals and conferences and has been serving as an editorial board member of repute.

Speaker
Nikita Hari / University of Cambridge , United Kingdom

Abstract

The device centric communication is a promising solution for high data rates in 5G networks, but the modern 5G network generate and process “Big-Data” to provide the better performance to mobile subscriber. The Fog network assistantship with device-centric 5G is a good framework to reduce the generated-data, storage mechanism, network scalability, fast computation and applications. It introduces a new domain of next generation cellular network called FOG 5G NETWORKS, it is the complementary to cloud networking. The proposed fog 5G fog-network will be a new emerged paradigm that extends the network computing infrastructure in device centric 5G. This work explores the design of fog computing framework to support device centric communication in 5G. In particular, we focus on how the widely implement the fog computing orchestration framework, and how it can be customized to next generation communication systems. We first identify the major challenges in fog 5G networks procedure, that arise due to the distinct features of fog networks and device centric communication. Then we discuss the necessary modification, methodology and possible solutions for its deployment. The proposed framework will help for, resource allocation, latency reduction, reliability, fault tolerance, privacy, and underlying optimization issues in fog 5G networking.

Biography

Sanjay Kumar Biswash received his Ph. D. degree from the Indian Institute of Technology (Indian School of Mines), Dhanbad, India, in 2012. Dr. Biswash currently working as a Associate Professor and Head in Department of Computer Engineering, Vidya Pratishthan's Kamalnayan Bajaj Institute of Engineering & Technology, Baramati, Pune, India and a research Scientist, at Department of Software Engineering, School of Computer Science and Robotics, National Research Tomsk Polytechnic University, Tomsk, Russia. He held Postdoc position at the National Laboratory of Scientific Computing (LNCC), RJ Brazil, and San Diego State University, CA, USA. He was a visiting scientist to the University of Coimbra, Portugal. He was an Assistant Professor (on contract) at the Motilal Nehru National Institute of Technology, Allahabad, India. His research interests lies on Network Management, Mobility Management, 5G, Device-centric Networks, Wireless and Mobile Networks, and Bio-inspired Networks. He serves as an editorial board member for Int. Journal of Wireless Personal Communications (Springer Verlag), and a guest editor in Int. Journal of Mobile and Network Application (Springer Verlag) for “Device-to-Device Communication in 5G Networks”. He is the reviewer of many reputed international journals/conferences such as JNCA, COMCOM, COMNET, PHYCOM, JPDC, MONET, IEEE TPDS, IEEE System journal, IEEE VTC, IEEE Communication Magazine etc.

Speaker
Sanjay Kumar Biswasha / Bajaj Institute of Engineering & Technology , India

Abstract

Next Generation Sequencing (NGS) technologies produce massive amount of low cost data that can be used for new genomic studies. However, data produced by NGS may get affected by different errors such as substitutions, deletions or insertion. It is need of bioinformatics to differentiate betweentrue biological variants and alterations due to errors for accurate downstream analysis. Many types of methods, approaches and tools have beendeveloped for error correction of NGS reads. Some of these methods are solely responsible for correction ofsubstitution errors whereas others correct multi types of data errors. In this piece of article, we are trying to explainthe hybrid approach and its tools to rectify the data sequencing errors. Which tool best utilizes different parameterssuch as time, error correction rate and length of data and gives off results as expected. Working of various tools reliesupon these methods and approaches which formulate a platform to scrutinize the best of all tools in different scenarioand situations

Biography

A highly motivated and confident person having completed MS in Computer Science from the COMSATS Institute of Information Technology, Islamabad, Pakistan, MSc in Computer Science with GoldMedal from the University of Peshawar, Peshawar, Pakistan, BSc in Computer Science with Gold Medal from University of Peshawar, Peshawar, Pakistan. More than 18 teaching Years’ experience at university level (BS/MS).Currently, Working at Department of Computing as Assistant Professor and Incharge Undergraduate BS Program and PhD Candidate at ICIT, Gomal University, DIKhanPakistan.Research Interests are Data Science, Big Data, Next Generation Sequencing Technologies.

Speaker
Imran Ahmad / Riphah International University, Pakistan

Abstract

Latest trends in industrial automation include increased use of PLC, HMI, SCADA, DRIVES and Analog. These trends will influence the industrial automation control market. We are going to discuss about the advanced controller PLC being widely used in any manufacturing industry around the world. A PLC is a Programmable Logic Controller. In other words, it is an industrial computer used as a standalone unit and can be used in a network of PLCs to automatically control a process or perform a specific function. To take information from the outside world such as temperature of a liquid, level in a tank, speed of an object etc, PLC uses different forms of connected sensors. Future of industrial automation would be great if automation people use PLC to control processes. However, the real world signals are transformed into electrical signals by the external sensors and relayed to the PLC that turn processes the electrical signals and uses them to complete its pre-programmed task. We shall have clear overview of PLC architecture, its programming language, logic development tricks, wiring and interface with other automation devices.

Biography

Himanshu Kumar is an Automation engineer and Director of INDWELL Automation, Pune, India. He has 11 years of experience on Advanced Industrial Automation projects and training programs.

Speaker
Himanshu Kumar / INDWELL Automation, India.

Abstract

Mobile Ad Hoc Network is becoming important to get network connectivity in environment where there is no base station and no static infrastructure. In the current era everybody requires to be connected all the time with good speed. In Mobile adhoc Network (MANET) there is need to improve the efficiency of the protocol with reliability. The most popular MANET protocol with researcher using is AODV. In this work an agent-based solution is proposed which replaces the routing messages in the network with an active population of agents. Rather than individual nodes exchanging routing information, mobile agents continuously advertise itself in the network. At each node, they monitor the routing table and improve the existing routes based on the information gathered by them. After updating the routes, the agents select the updated routing table. This agent-based routing mechanism is called as Agent-based Distance Vector Routing (ADVR). The author has succeeded in developing a new message format "Agent Advertisement". These Agents perhaps agent nodes also behaving as normal intermediate nodes while forwarding the messages. After updating the routes, the agents keeps the updated routing table, and thus helps in forwarding the packets. This agent-based routing mechanism is called as “Self Motivated intelligent Agent-based Ad-hoc on Demand Distance Vector Routing” (SMAODV).

Biography

Dr M A Rizvi obtained his Doctorate in Computer Science from MANIT Bhopal. Dr. Rizvi has also achieved PG Electronics and PGDCA from Aligarh Muslim University, Aligarh and MBA from Barkatullah University Bhopal. Presented Research in an International Conference at University of California San Francisco, USA where it was rated second. He was honoured to chair many the session of International conferences in India and Abroad. Dr. Rizvi has more than 25 years of experience in the field of Computer Science and Applications as faculty (Associate Professor and Head) in National Institute of Technical Teachers’ Training and Research, Bhopal (NITTTR) a Govt. Of India Institute. He has published approximately 120 research papers in reputed International Journals and International Conferences across the globe. He has attended many International/ National Conferences in India and abroad to present his papers. He was invited in many International conferences as keynote speaker, session chair and invited talk.

Speaker
M A Rizvi / National Institute of Technical Teachers, India

Abstract

Employment of the optimized basic business model of Osterwalder, the present research was conducted with the aim of explaining the business model of electricity distribution companies for the first time. This model was used due to the integration of the literature of business models. Moreover, since the model has a systematic view on the design of the business models, it was selected in the present research. It consisted of presentable values, target customers, distribution channels, communication, configuration of value, functionality, partnerships, cost structure and revenue model. The value proposition was described initially in the present research. Afterwards, customer interface was considered and infrastructure management, human resources and financial aspects were explained in the following. In addition, related challenges in the scope of power industry, especially Tehran's Power Distribution Company, was mentioned at the end of each segment.

Biography

Amir Navidi has completed his PhD from Islamic Azad University, Science and Research Branch of Tehran, IRAN. He is the staff of Tehran Province Electricity Distribution Company. He has published more than 11 papers in reputed journals and has been serving as an editorial board member of repute.

Speaker
Amir Navidi / Tehran Province Electricity Distribution Company

Abstract

Nowadays , Electronics industry represents an important part of the global economy. Over the last few decades, it has made tremendous progress with silicon-based Complementary Metal Oxide Semiconductor (CMOS) technology. Indeed, the invention of the field effect transistor (FET) and the development of integrated circuit manufacturing techniques have facilitated a growth in the semiconductor industry through the second half of the 20th century . In 1965 Gordon Moore, an engineer from Fairchild Semiconductor, predicted that density of integration in microelectronic circuits would double every eighteen months. Consequently , scaling of silicon devices allowed manufacturing of metal oxide semiconductor field effect transistors (MOSFETs), which are smaller, faster and, above all, consume less current. These ultra-thin components constitute the elementary brick of integrated circuits : 99% of integrated circuits use MOSFET as a basic element. This has improved device packing densities on chip, enhanced circuits speed and improved performance to cost ration for microelectronics products. The resulting growth in semiconductor industry market has led to increase in research and development expenditures to support this growth.Classic scaling rules of MOSFET were followed until 2000s when they have known multiple divergences due to channel short effects. In order order to maintain moore’s law , nanotechnology has attracted great interest among electronics researchers , it enables to bring another technology revolution to semiconductor industry , it allowed introducing new materials and devices with the size in nanometer scale .In brief , naoelectronics is a promising technology that aims to replace microelectronis devices in future generations of integrated circuits.

Biography

Salah-ddine Krit received the Hability Physics-Infromatics from the Faculty of Sciences, University Ibn Zohr Agadir morocco in 2015, the B.S. and Ph.D degrees in Software Engineering from Sidi Mohammed Ben Abdellah university, Fez, Morroco in 2004 and 2009, respectively. During 2002-2008, he worked as an engineer Team leader in audio and power management Integrated Circuits (ICs) Research, Design, simulation and layout of analog and digital blocks dedicated for mobile phone and satellite communication systems using Cadence, Eldo, Orcad, VHDL-AMS technology. He is currently a professor of Informatics with Polydisciplinary Faculty of Ouarzazate, Ibn Zohr university, Agadir, Morroco. His research interests include Wireless Sensor Networks (Software and Hardware), computer engineering and wireless communications, Genetic Algorithms, Gender and ICT, Smart Cities.

Speaker
salah-ddine krit / Ibn Zohr University Agadir, Morocco

Abstract

This paper plans to show the way we validated the implementation of a complete platform solution implementing the new generation of wireless protocols known as Low Power Wide Area Network (LPWAN) and Narrow Band Internet of Things (NB-IoT) that use the sub-GHz band for a more efficient implementation of the range-bandwidth compromise oriented to the deployment of energy efficient solutions that wirelessly connects sensors (i.e. temperature and humidity), meters (energy, gas, water) and actuators (usually SCADA systems). This solution includes a flexible platform that implements LoRa (open), Sigfox and Mirakonta (proprietary) protocols for 868Mhz ISM band for LPWAN and LTE standard NB-IoT (operated by Vodafone). This solution contains all elements of a typical Internet-of-Things implementation: a set of implemented wireless end-devices (motes) including sensors and actuators, communication infrastructure (concentrators and gateways) and a cloud solution with an API on top of which we can implement analytics (i.e. predictive control) and also a customizable connection to SCADA systems. This way we can close the information loop in a much more efficient way than wiring complex installations. .

Biography

Jordi Carrabina, Prof. PhD. leads the CEPHIS laboratory at Universitat Autònoma de Barcelona (Spain). Main interests are physically and functionally flexible solutions for the implementation of Cyber-physical Systems using Reconfigurable computing and Printed Microelectronics Technologies foe eHealth. He is coordinating the master on IoT for eHealth (UAB) and teaching Telecom, EE, and CS and MA Telecom Engineering (UAB) and Embedded Systems (EHU). During last 5 years he has co-authored more than 30 papers in journals and conferences; leaded international R&D projects in ICT; and is active in the creation of spin-off and IP items.

Speaker
Jordi Carrabina / Universitat Autònoma de Barcelona, (Spain).

Abstract

Today most of the counties are tussling in between themselves for pro claiming as the Powerful country in world; it may be USA, Russia, China, UK, France, India, France and North Korea etc. They intends to getting Power, Property and Position etc .in world .that’s why they are involving in fighting’s by many wars .In which millions of innocent people were died and many people becomes permanently injured and their families suffers a lot To make peace in world ,the war is not the only ultimate solution , the most preferable way of solution is known as ‘ peace’ “War and Pyar”(love) is not possible to be happen in the same battle field, but Looking back at the past, it was a herculean task to develop the massive infrastructure required for pursuing and implementing frontline research in the field of nuclear science in a newly independent country with limited resources. The principle of the organization-“Atom for Peace” was sabotaged on a number of occasions due to lack of co-operation and knowledge sharing from country to country who had by then established their supremacy in the field of nuclear science.

Biography

He is an eminent professor & academician of an international repute in the field of management education (Mkt. &HR) and served 22 years service in various Government Colleges. Universities in Odisha and abroad .He has obtained his PG in Psychology from Sambalpur University, Concurred his MBA Degree from Delhi University in 1996, PhD, Degree Department of Management Studies “Birla Institute of Technology , Meshra , Ranchi” in 2000 on the area of Green Marketing & Supply Chain Management (Marketing Management specialization) and Concurred his Post- Doctorate Degree from Patna University in 2003,on the area of “Advanced physiology and Criminology ” He has presently working as a Professor-Cum-Dean at Research &Development Cell, EATM Bhubaneswar. Dr. Rath has guided four PhD research scholars on the specialization area of Green Marketing & supply Chain Management, Consumer Behaviour, and Organizational Behaviour, Production & Operational Management etc. There are 25 International journals and 28 National Journals with two books of publication in his credit.

Speaker
Ramesh Chandra Rath / Einstein Academy of Technology & Management , Odisha

Abstract

Most of the biometric techniques are conventional biometrics employing some neural network architecture consisting of suitable number of hidden layers in their training process. The recognition accuracy has no longer become a measure to ensure the method of recognition is robust. Robustness has also been attempted by using hybrid methods for training such as neuro-fuzzy method and applying some optimization technique. The traditional use of the learning concept has almost been saturated in the field of computer vision and face recognition. An emerging concept of learning method that is being researched internationally in several cognitive, computer vision and data classification tasks is deep learning, which is subfield of machine learning inspired by structure and function of artificial neural network. This talk aims suggesting deep learning in assessment of cognitive ability of human brain. We plan to train thousands of facial images into our image database. Deep learning is to be compared to shallow learning in face recognition task done for real time applications; cognitive ability assessment and inference for different age group and gender; study of reaction time, etc. A sample size of 380 persons was tested in real time deep learning based face recognition. Response time and correct identification were recorded that shows potent research scope of deep learning in assessment of cognitive ability of human brain at large scale. The cognitive ability of women was found more than that of women.

Biography

Dr G R Sinhais working as Adjunct Professor at International Institute of Information Technology (IIIT) Bangalore, and presently deputed to Myanmar Institute of Information Technology (MIIT) Mandalay. He obtained his B.E. (Electronics Engineering) and M.Tech. (Computer Technology) from National Institute of Technology, Raipur. He received Gold Medal for obtaining first position in the University. He received his Ph.D. in Electronics & Telecommunication Engineering from Chhattisgarh Swami Vivekanand Technical University, Bhilai. He has published 205 research papers in various international and national journals and conferences. He is active reviewer and editorial member of more than 12 Reputed International Journals such IEEE Transactions on Image Processing, Elsevier Computer Methods and Programs in Biomedicine, Springer Journal of Neural Computing and Applications etc. He has reviewed research papers of many International Conferences including IEEE conferences. He has teaching and research experience of 19 years. He has beenDean of Faculty and Executive Council Memberof Chhattisgarh Swami Vivekanand Technical University, Bhilai. Dr Sinha has been appointed as Distinguished Speaker in the field of Digital Signal Processing by ACM for next three years (2017-2020). He has been appointed as Expert Member for Vocational Training Programme by Tata Institute of Social Sciences (TISS) for Two Years (2017-2019). He has been Re-elected as Chhattisgarh Representativeof IEEE MP Sub-section Executive Council2017. He was elected as Chhattisgarh Representativeof IEEE MP Sub-section Executive Council2016. He has been selected as Distinguished Speaker in the field of Digital Image Processing by Computer Society of India (2015). He is recipient of many awards like TCS Award 2014 for Outstanding contributions in Campus Commune of TCS,Rajaram Bapu Patil ISTE National Award 2013 for Promising Teacher for Creative work done in Technical Education by ISTE New Delhi,Emerging Chhattisgarh Award 2013: Best Academician,Engineer of the Year Award 2011, Young Engineer Award 2008, Young Scientist Award 2005, IEI Expert Engineer Award 2007, nominated for ISCA Young Scientist Award 2006 and awarded Deshbandhu Merit Scholarship for 05 years. He has been selected as Distinguished IEEE Lecturer in IEEE India council for Bombay section. He has been elevated to Senior Member of IEEE. He has authored Six Books including Biometrics: Concepts and Applications published by Wiley India, a subsidiary of John Wiley and Medical Image Processing: Concepts and Applications published byPrentice Hall of India. He is Consultants of various Skill Development initiatives of NSDC, Govt. of India. He is regular Referee of Project Grants under DST-EMR scheme of Govt. of India. He has delivered many Keynote Talks and Chaired many Technical Sessions in International Conferences in Singapore, Mumbai, Trivandrum, Hyderabad, Nagpur, Kolaghat & across the country. His Special Session on “Deep Learning in Biometrics” was included in IEEE International Conference on Image Processing 2017. He is Fellow of IETE New Delhi and member of International Professional Societies such as IEEE, IACSIT & SIE Singapore and also of many National Professional bodies like ISTE, CSI, ISCA, and IEI. He is member of various committees of the University and has been Vice President of Computer Society of India for Bhilai Chapter for two consecutive years. He has Guided Four PhD Scholars, 15 M. Tech. Scholars and has been Supervising 05 more PhD Scholars. His research interest includes Biometrics, Deep Learning, CAD & Medical Image Processing, Computer Vision, Employability Skills; Outcome based Education (OBE) etc.

Speaker
G R Sinha / MIIT Mandalay, india

Abstract

AlGaN/GaN High Electron Mobility Transistors (HEMTs) are predicted to significantly improve efficiency and to dominate high-power and high-frequency applications. To enhance confinement in the 2-dimensional electron gas (2DEG) channel and improve the drive current, high Al concentration and/or an AlN exclusion layer are used. However, high Al% causes source/drain access resistance (RC) to increase, due to limited metal diffusion. In this work, we propose a process technology to obtain optimal RC, which is essential to achieve high device performance and reliability. Contacts were etched using Ar+ ion beam etching technique at different depths into the barrier layer. A Ti/Al/Ni/Au contact metallisation scheme is then deposited and thermally annealed at various temperatures between 800oC to 900oC for 30s in a nitrogen atmosphere. Under these conditions, an alloy beneath the metal of the contact forms due to metal diffusion. We found that the alloy thickness increases with deeper etching. This is caused by the decreased Al quantity beneath the contact metal. The sheet resistance beneath the contacts (RSK) and between contacts (RSH) are found equal for all etching depths except 75% etched barrier, suggesting minimal metal diffusion. To note, at 100% etching, damage to the 2DEG occurs during etching and hence, increasing RC. For 75% etched barrier, RSK>RSH due to the potential of increased quantity of voids as a result of Ti diffusion. As RC increases then a lesser electric field between the metal and the 2DEG channel is induced, causing current flow to disperse beneath the metal. The optimal source/drain contact is given at 75% etched barrier, providing lowest RC and contact transfer length.

Biography

Brahim Benbakhti received the M.Sc. and Ph.D. degrees in microwave and microtechnology from Lille University, Lille, France, in 2003 and 2007, respectively. He is currently with the Electronics and Electrical Engineering Department, Liverpool John Moores University, U.K. His current research interests include the reliability characterization and simulation of III nitrides-based devices, sensors for high-temperature environments, transistor structure engineering, hybrid III-V and Ge CMOS. He has published over 30 papers in industrial relevant journals, e.g. IEEE Trans. Electron Devices, IEEE Electron Device Lett. and more that 40 talks at flagship conferences such as EuMIC, VLSI Technology Symposium, and IEEE IEDM.

Speaker
Brahim Benbakhti / Liverpool John Moores University, Liverpool, UK

Abstract

An Advanced Networking System on Adhoc Mobile Services (ANSAMS) is a modern and well advanced networking system on Adhoc mobile .It represents a complex and distributed networking systems that comprise wireless mobile nodes that can freely and dynamically self-organize into arbitrary and temporary, “ad-hoc” network topologies .It allowing people and devices to seamlessly internet network in various areas with no pre-existing communication infrastructure, e.g., in case of natural calamity and any disaster recovery environments it has so useful for meeting the aforesaid emergencies . In simple, an advanced networking concept is not a new one, having been around in various forms for over last decades. Networks composed of dynamically repositioning mobile hosts require location awareness to provide new geographic services and to maximize routing efficiency and quality of service. Again, traditionally; tactical networks have been the only communication networking application that followed the ad hoc paradigm on mobile services. Recently, the introduction of new technologies such as the Bluetooth, Hyperlan are helping enable eventual commercial on mobile services which deployments outside the military domain. These recent evolutions have been generating a renewed and growing interest in the research and development of ANSAMS. This invited research paper has submitted to the Second International Conferences of Recent Trends of Research Technology (ICIRT), Deradoon in order to provide a comprehensive knowledge and an innovative practice of this dynamic field. Here , we the researcher have given importance on the vital role that advanced networking system on mobile services how plays an emerging role in the evolution of future wireless technologies. Henceforth, we reviews the latest research activities in these areas, of advanced networking system, Role of service providers, cloud computing technology and including a summary of ANSDMS s characteristics, capabilities, applications, and design constraints. Finally, this paper concludes with suitable valedictory remarks and presenting a set of challenges and requirements in order to meet the future course of research work and its further development.

Biography

He is an eminent professor & academician of an international repute in the field of management education (Mkt. &HR) and served 22 years service in various Government Colleges. Universities in Odisha and abroad .He has obtained his PG in Psychology from Sambalpur University, Concurred his MBA Degree from Delhi University in 1996, PhD, Degree Department of Management Studies “Birla Institute of Technology , Meshra , Ranchi” in 2000 on the area of Green Marketing & Supply Chain Management (Marketing Management specialization) and Concurred his Post- Doctorate Degree from Patna University in 2003,on the area of “Advanced physiology and Criminology ” He has presently working as a Professor-Cum-Dean at Research &Development Cell, EATM Bhubaneswar. Dr. Rath has guided four PhD research scholars on the specialization area of Green Marketing & supply Chain Management, Consumer Behaviour, and Organizational Behaviour, Production & Operational Management etc. There are 25 International journals and 28 National Journals with two books of publication in his credit.

Speaker
Ramesh Chandra Rath / Einstein Academy of Technology and Management, India

Abstract

Renewable energy is the world’s fastest-growing energy sources, increasing by 2.5 percent per year.However, fossil fuels continue to supply almost 80 percent of world energy use through 2040. To promote further development of renewable energy, the Korea government confirmed its fourth renewable energy basic plan in September 2014, which aims to provide 11 percent of its primary energy through renewable energy by 2035. Especially, Korean government executed aggressive policies on Microgrid (MG) and Energy Storage System (ESS) to promote development of renewable energy.MG has been a feature of the Korean green growth strategy from 2008. For example, a smart grid test-bed on Jeju Island, which was the largest of its kind worldwide at the time, was constructed in December 2008. The second development is in the field of ESS, which can be used for power system freqeuncy regulation. Korea’s ESS industry leads the frequency regulation market in the world and has already acquired the most advanced second battery technologies, which are critical for ESS technologies. Furthermore, Korea gorvenment released a draft of its “Renewable Energy 3020” implementation plan for development of renewable energy base on MG and ESS. This presentation summarize the MG and ESS technologies in Korea and “Renewable Energy 3020” implementation plan.

Biography

Seung-Il Moon received the B.S. degree from Seoul National University, Seoul, South Korea, in 1985, and the M.S. and Ph.D. degrees from The Ohio State University, Columbus, OH, USA, in 1989 and 1993, respectively, all in electrical engineering. He is currently a Professor in the School of Electrical and Computer Engineering, Seoul National University. His research interests include power system operation, power quality, flexible ac transmission systems, renewable energy, and distributed generation. He is a member of National Energy Committee in Korea.

Speaker
Seung-Il Moon / Seoul National University (SNU), South Korea

Abstract

Now a days, handwritten text recognition is posing a lot of research openings as it improves the interface between a man and a machine in various applications, such as automation process in post offices, number plate recognition, processing of historical documents, bank cheque processing, etc,. Issues related to the printed documents are attempted satisfactorily by the research community, where as an analysis of handwritten documents is still a very challenging issue because of handwriting style varies from an individual to an individual, with size, shape and orientation of the characters. Although several pieces of research exist on monolingual handwritten text processing, negligible amount of work has been reported towards multilingual handwritten text processing. Our nation, India, is a multilingual country where many official documents contain at least three languages; one an official language of the local state, national language Hindi and the third language English, which is common for the purpose of official communication. Thus, handwritten multilingual documents pose much challenging issues in document analysis and recognition process when compared to a monolingual document, a document with a single script. An important challenging task in handwritten documents is to tackle the inherent skew introduced due to writer’s handwriting. Complexities such as variable spacing between words and lines, variable line skew, variable line width and height, overlapping words and lines etc., arise in handwritten documents. Thus estimating multiple skews in a handwritten document is essential in document processing.

Biography

Dr. M Ravikumar has completed his B.E (Instrumentation Technology) from UBDT College of Engg. affiliated to Kuvempu University, Karnataka (1996), India, M. Tech (CS&E) from the Visweshvaraiah Technological University, Karnataka (2001), India, Ph.D (CS) from the University of Mysore, Karnataka (2016), India. Currently he is working as an Associate professor in the Dept of Computer Science and he is having 15 years of teaching experience in the Kuvempu University. He has handled Research project” Vision-based solution for early diagnosis of cancer cells". A case study: Breast cancer” under UGC Sponsored. He has visited Burgos, Spain to present a research paper in the international conference in the year 2015. He has published more than 15 papers in reputed journals and in conferences. his area of Research includes multilingual handwritten document analysis, Script identification from multilingual handwritten documents, Image Processing and Pattern recognition. Ph. D University of Mysore, Mysore May, 2016 Topic: Estimation of multiple skews in tri lingual handwritten document images M. Tech Visweshvaraiah Technological University 2001 Computer Science and Engg. B.E Kuvempu University 1996 Instrumentation Technology

Speaker
M. Ravikumar / Kuvempu University, India

Abstract

In this paper, to improve the stability of a micro-grid in islanding mode, that contains two wind and gas DG units, simultaneous use of virtual inertia and robust controller is proposed. The use of the variable speed wind turbine and the Doubly-Fed Induction Generator (DFIG) reduces the system inertia and thereby decreases the dynamic stability. Implementation of virtual inertia in DFIG improves the power system stability. However, the change or uncertainty of the system parameters is a major challenge that must be considered when using the virtual inertia. In this paper, the implementation of virtual inertia in DFIG control system is described in detail and the impact of uncertainty and change of the control system parameters over performance of the frequency control system is investigated. In order to improve the dynamic and the steady state performance of the frequency control system, benefiting from the impact of virtual inertia, the mixed H2/H∞ robust controller is proposed. The simulation results using MATLAB show that the proposed hybrid controller guarantees the system stability in conditions of uncertainty and change of the control system parameters.

Biography

Mohammad Niyazi was born in Kermanshah, Iran, in (30,Oct,1989). He received the M.Sc. degree from Sciences and Research, Kermanshah, Iran, in 2015 in electrical engineering. His research interests include Micro Grid and Smart Grid, Renewable Energy, Power Stability and Frequency Control. He is currently an AMI & Smart Grid Specialist in Monenco Iran Consulting Engineers Company.

Speaker
Mohammad Niyazi / Monenco Iran Consulting Engineers, Iran

Abstract

The smart grid is a modernized electrical grid that uses information and communications technology to gather and act on information, such as information about the behaviors of suppliers and consumers. Demand Response and load management are key components of the smart grids. All types of customers such as residential, commercial and industrial can participate in demand response and load management. In this paper, Demand Response and Load Management benefits of Iranian National Smart Metering Project is presented.

Biography

Mohammad Niyazi was born in Kermanshah, Iran, in (30,Oct,1989). He received the M.Sc. degree from Sciences and Research, Kermanshah, Iran, in 2015 in electrical engineering. His research interests include Micro Grid and Smart Grid, Renewable Energy, Power Stability and Frequency Control. He is currently an AMI & Smart Grid Specialist in Monenco Iran Consulting Engineers Company.

Speaker
Mohammad Niyazi / Monenco Iran Consulting Engineers, Iran

Abstract

In industry, most manufacturing processes use three-phase induction motors, and require rotation control. The most efficient solution for controlling torque and rotation of induction motors is vector control. This solution emerged in the 1970s, and became feasible in the 1980s, thanks to the advancement of microprocessors and manufacturing techniques of semiconductor power devices. One of the vector control techniques currently used in frequency inverters is indirect field-oriented control (IFOC). This technique presents relevant characteristics for implementation in an industrial environment, for example: speed of response to requests of electromagnetic torque of the motor; control of various types of electric motors; can be loaded on various types of processors; can be used with several types of drives; possibility of sensorless implementation. In the implementation of the IFOC technique, a rotation sensor is normally used to obtain the speed and position of the induction motor axis. However, rotation sensors can be replaced, with advantages, by observers. In this work, it is proposed the development of a rotation and torque control system, based on the IFOC technique, sensorless, loaded in a digital signal processor, for application of three-phase induction motor. In order to perform tests and the validation of the torque and rotation control system, a test bench was developed. The results of the tests are presented, with the measured values, and the values estimated by the control system.

Biography

Speaker
Cesar da Costa / IFSP - Federal Institute of Sao Paulo, Brazil

Abstract

Mathematical modeling of spreading process has gained much popularity over recent years for its ability to help comprehend real-life stochastic processes and forecast their evolution. These mathematical model has the ability to represent the epidemic dynamic as well as providing insights about the future spread of the epidemic. Forecasting infectious disease spread has become very popular now a days for its ability to direct the public health personnel in the right direction for allocating their resources in the most fruitful way. Recent advances in the forecasting has encorporated different methods in forecasting infectious disease. In this paper, we use an Ensembled Kalman filter (EnKF) for developing a forecasting framework and later we demonstrate the importance of our of our framework for Japanese Encephalitis (JE)- a mosquitoborne disease. We present the stohcastic process of JE spreading among human with an SEIR (Susceptible-Exposed-Infected-Recovered) model. However, disease models comprised of several parameters and variables. Estimating the parameters are crucial part in mathematical disease model as well as forecasting. In this work, we develop a filtering framework for simultaneously estimating the parameters and doing real-time forecasts. Weekly incidence data of JE in Taiwan is used to demonstate the validity of or epidemic forecast. Forecasts obtained from the EnKF closely matches the real incidence of JE in Taiwan.

Biography

Mahbubul H. Riad has completed his M.Sc. from Kansas State university, USA and currently working as PhD student at Kansas State University. His work focus mainly on the modeling the spread of infectious disease and forecast the spread using interconnected network approach.

Speaker
Md Mahbubul Huq Riad / Kansas State University, USA

Abstract

Patients suffering or recovering from spine injuries, strokes, trauma to the hand and limb joints become unable to restore the range of joint motion. There are cases were joint motion can be restored by the use of rehabilitation devices, such as continuous passive motion machines (CPM) which exercise the injured hand or limb to regain its muscular strength. In cases where damage is permanent, exoskeleton devices attached to the hand or limb may support the movement. Controlling these devices according to the patient’s will requires the use of a Brain Computer Interface (BCI) which can monitor by electroencelography (EEG) signals produced by the motor imagery of the brain and the processing of these signals with the purpose of identifying the patient’s movement intensions. Once the intensions are determined, BCI outputs can be connected to controllers which move the CPMs or exoskeletons along desired trajectories related with the patient’s intensions. In this presentation, it is explained how the brain signals are monitored and how by identifying the event related desynchronization and synchronization (ERD/ERS) of motor imagery, finding power and energy features of the ERD/ERS events and comparing them with the same features of classified database signals, the movement intensions of the patient are determined. The widely-used for this purpose Second Order Blind Identification (SOBI) algorithm is outlined. As this processing has to be made fast enough and within the time limits observed in a healthy person, new algorithm speed-up techniques and hardware for implementing both the BCI processing and CPM or exoskeleton control are presented.

Biography

George Hassapis holds a Ph.D degree from the University of Manchester, UK and he is Professor at the School of Electrical and Computer Engineering of the Aristotle University of Thessaloniki, Greece. He has published more than 120 papers in referred journals, conference proceedings and book chapters, he is reviewer in noumerous scientific journals, he chaired and organized conferences and workshops, and supervised more than 23 research projects funded by industry, national and European Union organizations. He is the recipient of awards from biographical organizations, life menber of IEEE and chartered engineer in Greece and United Kingtom.

Speaker
George Hassapis / Aristotle University of Thessaloniki, Greece

Abstract

The influence of global economy has led to changes in the conventional approaches for manufacturing companies. In this case, manufacturing companies has taken under consideration several essential characteristics such as real-time reaction to changes, quick and quality response in satisfying customer requests, in both hardware equipment and software modules by which the production processes are improved for next generation manufacturing systems. Nowadays in modern manufacturing industry due to high variety of products and shorter response time, the demand for smart material handling systems (MHS) has increased. Therefore, to recover these demands, custom-built systems have to be implemented which requires individually created intelligent control software which deals with flow control, product routings, layout and products distribution.Internet of Things (IoT) is a concept that is set to enhance manufacturing by improving output quality and workflow efficiency. Nowadays manufacturing industries are utilizing IoTconcept as a network that connects multiple sensors and devices through the internet. There are thousands of these sensors within a manufacturing environment, from the temperature gauges to the individual components on the MHS, connecting data from these devices can improve business efficiency, innovation as well as strengthening security. However; if the data is not connected to a single common platform talking the same language, these potential gains are lost.The aim of this research is to develop an intelligent agent based control system and implement it utilizing IoT to control the smart material handling system in manufacturing industry.

Biography

Aydin Azizi is a university professor at the German University of Technology, also he is the Research Focal Point of The Research Council of OMAN (TRC). He’s research area is Mechatronics focusing on developing and investigating different Artificial Intelligent Techniques to model, control and optimize the complex nonlinear systems. Aydin holds BSc. MSc and PhD degrees in Mechanical Engineering, Mechatronics and Mechanical Engineering.

Speaker
Aydin Azizi / German University, oman

Abstract

Energy security, job opportunities andprotecting the environment are the top attractions of renewable energies (REs). After Russia, Iran has the second natural gas reserves and the fourth largest oil resources. The energy security has not been a concernin Iran. The cost based and value based assessment could be utilized to assess the economic effectiveness of REs in Iran. Abundant fossil fuel resources decrease the energy cost but knowing the value of RE resources may make sense to spent financial resources. Network loss reduction and saving the transmission costs, reduction in the fossil fuel consumption rate, emission cost of fossil fuel plants, morality and treatment cost caused by air pollution, and the cost of shutting down the working days can describe the value of REs in Iran. Intermittent behavior of REs, increase the reliability and security cost. More stop/start of the thermal units result in higher energy offers. Considering the current feed-in tariffs payment mechanism to the RES, it will increase the cost of electricity. Crew requirement of renewable energy plants is much lower than the thermal unit plant and most of the renewable energy infrastructures are not manufactures in Iran. Having a look into the future, the job opportunities will be decreased by expanding the renewable energy plants. All of these concerns should be scrutinized to make a judgment about the economical effectiveness of REs in Iran. This issue is tackled in this speak.

Biography

Mazhaer Haji Bashi has completed his PhD at the age of 31 years from Isfahan University of technology, Isfahan, Iran. He is currently the electricity market monitoring responsible expert at Iran Grid Management Company (IGMC). He has been the project manager of research project such as data mining in Iran electricity market (done by Niroo Research Institute) and the comprehensive study of renewable energy policies (done by Iran national elites foundation). He has published many papers in reputed journals and has been serving as an international committee of EEEIC (Italy section) Since 2011.

Speaker
Mazaher Haji Bashi / Isfahan University of technology, Iran.

Abstract

The power industry as an infrastructure industry is one of the most important pillars of human development and human life. The input of this industry is generally from fossil sources which are found in the nature. It also has a deteriorating environmental impact and is more expensive than other energy sources. Environmental degradation is a serious concern of the future and now. Therefore, renewable energies along with atomic energy are the next paths. Our goal in this study is to develop futuristic, policy-making and creation of strategy and future study in the field of renewable energies in the power industry. Knowing that fossil fuels are fatal and also destroy the environment, renewable energies are a blessing to us. The question is that what is our situation in this field? What are our policies? What strategies have we taken? Future study as a science to teach us for scenario making and strategic planning as system is include of subsystem of policy making that the result of both could to help us to have a future according to our interests. Future is coming without permission from anybody and is converting to past moment by moment thus we should be aware.

Biography

Farshid Malek Hosseiny : DBA from IMI of Iran. MSc Degree in Power engineering from K.N.T University of technology and Bachelor Degree in Electrical engineering from power & water university of technology and Bachelor of Physics. He is manager of the group of relation with universities and research institutes in Tehran metropolis power distribution company, He has published papers in international conferences and had been lecturer in electrical engineering faculty and member of board of directors and deputyship of planning in Hormozgan power distribution company and general manager of Bandar Abbas and Qeshm free zoon power affaire. Cable industry manager

Speaker
Farshid Malek Hosseiny / K.N.T university of technology , Iran

Abstract

Just as outsourcing becomes more widespread, hardware Trojans (HTs) pose a serious threat to both consumers and manufacturers involved in the design, development and manufacturing of digital integrated circuits. HTs can be found inside a chip either intentionally or unintentionally, causing higher vulnerability or susceptibility to hardware attacks. The involvement of Trojans is extremely serious, because there are numerous sensitive applications running by digital chips. Nowadays, it is essential to understand the Trojan detection techniques, since the very-large-scale integration (VLSI) circuit designers need to develop a reliable security system to deal with internal and external Trojan attacks. The system designers are assisted by many techniques proposed to mitigate the risk of attacks, thus developing a security system resistant to HT attacks. In this session, a classification will be proposed to gain a better insight into the subject matter. Then, an algorithm and method will be presented for detection and localization of HTs. The proposed method is actually a design for test (DFT), which has achieved a desirable detection rate through embedding several local sensors on the chip area, while obtaining the specifications of power and chip area. Since the new method is run-time, it can be considered in the online category, i.e. a feature rarely observed in detection methods.

Biography

Amin Bazzazi received the B.S. degree from the University of Guilan,Iran, in 2003 and the M.S. from I.A.U University, Tehran, Iran, in 2006,all in electrical and computer engineering. He also received the Ph.D. degreein Computer Engineering from Sharif University of Technology, Tehran,Iran,in 2017.He is an AssistantProfessor in Department of Computer Engineering, Gorgan Branch, Islamic Azad University, Gorgan, Iran. His main research interests include digital signal processingand Attack Tolerant Architectures.

Speaker
Amin Bazzazi / Islamic Azad University, Iran

Abstract

Bangladesh is a riverine country. In Bangladesh, around 1,280,000 fishermen exist, among them 770,000 inland and 510,000 marine fishermen whose income entirely depends on fisheries. Bangladeshi fishermen mainly use trawler for fishing purpose in sea and river. Those trawler boats require electric power at night for fishing and lighting. Currently, in a trawler, electric power is supplied by a battery which is charged through a dynamo synchronized with trawler engine. This dynamo requires diesel to serve electric power. In present scenario to fulfill electric power demand, each trawler utilizes 30-liter diesel in a ten-day trip at a fishing time in sea or river. In such conditions, the conventional method can no longer be considered as the optimum solution for the energy generation system. Thereto a PID-controlled synchronous buck converter based battery charging system for solar-powered fishing trawler is practically implemented and tested to measure sustainability, viability to reduce fuel consumption. The field based results show that the algorithm has been optimized for commercially available 24V PV cells. The Life Cycle Cost Analysis (LCCA) of this proposed design is mathematically modeled via software, which specifies saving to Investment ratio (SIR) and Net Profit Value (NPV) of this system is greater than 1.00 and indicates 11, 99, 607 BDT will be the net benefit for each trawler after 20 years payback time which saves approximately USD 60/month/trawler. Moreover, solar power system in the 2000 fishing trawlers will be secured around 400 thousand liters petrol from burning out per year.

Biography

Sajib was born in Chittagong, Bangladesh, in 1992. He received the B.Sc. degree in Electrical & Electronic Engineering from the Independent University, Bangladesh in 2013, and the M.Sc. degree in electrical and electronic engineering from the Independent University, Bangladesh in 2016 with distinction. He is also serving as a lecturer at his alma mater. His research interests are in Sustainable power development, renewable energy technology, power electronics, and power micro-grid. He is authored and co-authored of four peer reviewed journal papers, and fifteen international conference proceedings (2013– till date).

Speaker
Sajib Chakraborty / Independent University, Bangladesh

Abstract

Using natural ester as a dielectric insulating liquid has many advantages like high fire safety, readily biodegradable, insulating paper life extender and almost carbon neutral (very low CO2 footprint). Critical topics are the oxidation stability and higher pour point temperature connected to higher viscosity. The oxidation stability is addressed by using sealed systems. The operations of transformers in the northern USA, Canada, and in alpine regions, like Styria (Austria) shows that natural ester (Envirotemp FR3 liquid) can be used with practically no restrictions in these regions. Styria has mountains with elevation of approximately 3000 m and very cold locations in which temperature can fall below -20 °C during winter. Adding a small amount of a pour point depressant to the ester liquid improves the cold temperature performance of the insulation liquid. The mechanism of action is that the pour point depressant retards crystal formation of the natural ester liquid and consequently the ester remains liquid far below its natural solid point. Usually pour point depressants are developed for the lubrication market, therefore not all of them can be used in dielectric fluids. Measurements show that the dielectric strength of Envirotemp FR3 natural ester fluid compared with other types of insulating liquids is comparable at temperatures down to -50 °C. For cooling purposes, only the liquid viscosity-temperature profile is important for defining the temperature at which the liquid can be circulated by pumping. It’s a matter that focuses on the cold start of transformers, because energized and loaded transformers connected to the grid generate sufficient heat to maintain a free-flowing dielectric liquid.

Biography

E. Pagger has completed his PhD at the Institute of High Voltage Engineering and System Performance, Graz University of Technology, Austria. He is the managing director of EPP Consulting GmbH. He has published several papers regarding alternative insulating liquids. Ernst has been involved in power plant technology for more than 40 years. He has joined several Cigré WG’s. Actually, he is a member of the WG D1.68. R. Braunstein was working as University Assistant at Graz University of Technology at the Institute of Electrical Power systems. After finishing his PhD thesis, he joined the asset management department of the styrian DSO “Energienetze Steiermark GmbH”. Within his main focus he is responsible for the technical handling of the budget process regarding the high voltage grid and substations, power quality monitoring and the continuous improvement of the grid reliability. The evolution of new technologies as the use of new natural insolating liquids completes his profile. Actual he is member of the Cigré Working Group D1.68 “Natural and synthetic esters”. Kevin J. Rapp is the Principal Chemist for Global Dielectric Fluids of Cargill. With over 40 years in the electrical industry, including 27 years in R&D where he invented Envirotemp™ FR3™ fluid and found that ester liquids enhance the life of cellulose insulation in transformers. Kevin is involved in standards as Technical Advisor/Chairman of the USNC of IEC TC10, WG Convenor in TC 14, ASTM D27.15 and D27.91 Subcommittees. Kevin was awarded IEC 1906 Award in 2011, US-EPA Presidential Green Chemistry Award in 2013 and ASTM Service Award in 2015. He holds many patents and published numerous papers as a member of ACS, ASTM, CIGRE, IEC and IEEE.

Speaker
Ernst Pagger / Graz University of Technology, Austria

Abstract

Intelligent homes are in demand these days for providing comfort and safety. Such homes can be monitored remotely and controlled autonomously. The main objective is to actively save electricity consumption and have control of appliance operations. It is only by employing smart systems as well as by using different renewable sources that we can attain the efficiency of an ecofriendly home. Wireless Integrated Networked Sensors with cloud based data storage capability can be employed now with advent of Internet of Things (IoT). Operating systems running on cloud based processors are connected to simultaneous networks (Wi-Fi and GSM) able to report and control devices in a home. A prototype is proposed for a multi-home-appliances monitoring system. It is based on a set of microcontrollers which are connected to web servers for receiving device statuses and control signals. By Integration of pervasive computing devices with the power of web servers, we aim for the development of a powerful analysis tool in the area of Clean Energy, Device Safety, Power Conservation and Power Quality. The system proposed can be utilized in the areas of Energy Auditing, Electrical safety, power management, power quality, urban planning and personal monitoring.

Biography

Rustom M. Mamlook is a Full Professor of Electrical and Computer Engineering at Dhofar University, Sultanate Oman. He was a Full Professor at the Department of Computer Engineering at College of Computer Engineering & Sciences, King Saud University, Saudi Arabia. Dr. Mamlook has obtained his B.S. degree from the University of Illinois, Chicago, Ill, USA, in 1983, M.S. degree in computer systems (hardware/software) from California State University, Long Beach, Calif, USA, in 1986, and Ph.D. degree in computer systems from New Mexico State University, Las Cruces, NM, USA, in 1992. His current research is in image classifications using neural networks and fuzzy logic, computer systems (computer networks), computer algorithms, neural networks, and fuzzy logic to solve real problems in the areas of computer systems. Dr. Mamlook has more than 20 years of experience in teaching and conducting research in the computer engineering and information technology fields. Dr. Mamlook has published over 50 papers in topics related to computer engineering and information technology fields. At present, he teaches courses in computer networks, artificial intelligence, and control systems.

Speaker
Rustom Mamlook / Dhofar University, Oman

Abstract

Power system resilience is a concept related to a power system’s ability to continue operating and delivering power even in the event that low probability, high-consequence disruptions such as hurricanes, earthquakes, and cyber-attacks occur. Grid resilience objectives focus on managing and, ideally, minimizing potential consequences that occur as a result of these disruptions. Currently, no formal grid resilience definitions, metrics, or analysis methods have been universally accepted. This talk aims to take a step forward not only by clarifying the concept of resilience, but also by proposing a new way of thinking about grid operation during unexpected disturbances, especially in distribution networks. The first step in designing, standardizing, and operating resilient power systems is to clarify the definition of resilience. Current literature on power system resilience presents many conflicting and vague descriptions. The inherent differences between the concepts of “resiliency” and some other related concepts such as reliability, robustness, and flexibility is presented. Finally, demonstration of the metrics and methods is shown through a set of illustrative use cases.

Biography

Payam Teimourzadeh Baboli was born in Babol, Iran in 1985. He received his B.Sc. degree in electrical engineering from the University of Mazandaran (UMZ), Babolsar, Iran in 2007, and his M.Sc. and Ph.D. degrees in electrical engineering specializing in power systems both from the Tarbiat Modares University (TMU), Tehran, Iran in 2009 and 2014, respectively. Since 2015, he has been with UMZ, where he is currently an Assistant Professor in Electrical Engineering. Since 2008, he also acts as a Senior Researcher with the Iranian Power System Engineering Research Center (IPSERC), Tehran, Iran. His current research interests include demand response resources, smart grid technologies, power system reliability analysis and multiobjective decision making

Speaker
P. Teimourzadeh Baboli / University of Mazandaran (UMZ), Iran

Abstract

Most of the classical design methods of the FIR filters attempt to achieve the target frequency response specificationswith the minimum filter order. However, from the implementation point of view, such techniques may lead to FIRfilters with aprohibitive computational complexity, especially whendesign specifications are extremely stringent.To arrive at a more efficient solution, several studies have recently focused on design of sparse FIR filters. In a sparse FIR filter, a relatively large number of coefficients are zero and, hence,multipliers and adders corresponding to these zero coefficients are eliminated. The design of a sparse FIR filter is a combinatorial optimization problem and, sometimes, the computational complexity of the design procedure itself can be prohibitively high in practical cases.Many of the techniques for designing sparse FIR filters are derived from the sparse coding realm.However, there are inherentdifferences between these two classes of problems. While the recent advances have led to some computationally efficient techniques, such as the hard thresholding method and the minimum 1-normmethod, more sophisticated optimization solutions are still required. This presentation will review some of the recent achievements in designing sparse FIR filters.

Biography

Mahdi Tavassolireceived his Ph.D. degree in Electronics Engineering from ShahidBeheshti University, Tehran, Iran. His main research interest is analog circuits such as analog filters,multiband multistandard wireless receivers, phase-locked loops, direct-digital frequency synthesizers, etc. He also has ample experience in digital signal processing.

Speaker
Mahdi Tavassoli / ShahidBeheshti University, Iran

Sessions:

Abstract

Given the increasing importance of technology in organizational development, considered as one of the most important issues of strategic enterprise technology strategy actually. The increasing production and consumption of electric energy in the developing world and interconnected and expand interaction with other development of industrial, trade, agriculture activities, and services power industry development has become one of the pillars. Industry is an industry study in the field of power supply providing electricity services to consumers and applicants; to determine priorities for future investment, technology strategy is to develop their technological needs thereby determine the scope of its activities in the future. This study was conducted to answer the following questions: What are the industry's technological capabilities? Technologies required by industry to offer new services to their business in what condition? What are important development technologies of this industry? Finally, this paper presents the three-dimensional model called "Mighei Model" for technology strategy.

Biography

Speaker
ali mighi / Tehran Province Electricity Distribution Company,Iran

Abstract

MOS devices traditionally have been made to work in strong inversion. Sub-threshold region has been avoided mainly due to extremely narrow linear range of operation. Recently however interest is seen renewed in devices operating in weak inversion due to low noise, low power dissipation and extremely low current-flow. Circuit designers have come-up with methods to improve the linear range so that devices in weak inversion could be used as circuit-element in order to exploit these advantages. A weakly inverted MOS transconductor with wide input linear range and very low transconductance is discussed today. The transconductor is achieved by efficient input voltage attenuation formed by connecting identical simple source coupled pairs in a scheme that provides very high extensibility of voltage scaling. Post-layout simulated results in a 0.35-μm standard CMOS process show that Gm in the range of 0.05-1.3 nA/V is achievable along with 380 mVp-p linear range, at 1% Gm variation under 1.5-V supply. Application in first-order low-pass sub-hertz filtering (with tunable cut-off frequency from 0.3-3 Hz) is demonstrated.

Biography

Speaker
Dipankar Pal / BITS-Pilani, India

Abstract

Speaker Verification for application oriented system demands short segment based improved results for verification of a trial. However, under limited data such systems perform poorly. In this direction, different directions are identified, which has cope under short utterance based scenario. The first direction refers to exploration of different features capturing excitation source information having different attributes. It is followed by the second direction, where acoustic-phonetic information of speech is used to have additional information. Another way to deal with such scenario is by use of kernel discriminant analysis, that is able to handle the nonlinearly separable data points in a better way. These three directions are combined into a common framework to improve the performance at each level and finally to reach at a point to have systems into practice. This opens doors towards several application based systems using speech biometric measure.

Biography

The speaker is PhD from Indian Institute of Technology Guwahati. Prior to this, he worked as a Project Scientist at Assam Science Technology and Environment Council, a state Government enterprise of Assam. His research interests are speech signal processing, speaker verification, machine learning and pattern recognition. He has published several works in reputed journals and conferences.

Speaker
Rohan Kumar Das / Indian Institute of Technology Guwahati, India

Abstract

Transportation Electrification is gaining mainstream attention across several sectors, from academia and research laboratories to automotive industries and their suppliers. As a result educating a new generation of students in this field is of great importance.This talk examines the existing and future trends of education in the field of Transportation Electrification and looks at the importance of practical education for future electrical engineers in this field. Hardware-in-the-Loop (HIL) test bench platforms for emulation of Electric-Drive Vehicles (EDVs) are discussed as a means of research and education and the challenges of developing such platforms in an academic environment are outlined. Finally, the idea of small-scale hybrid vehicle setup is introduced as an alternative tool to provide a practical, hands-on experience that is safe, affordable, and inclusive of all of the major components of a real hybrid vehicle powertrain.

Biography

Poria Fajri received the B.S. degree in electronics from Urmia University, Urmia, Iran, in 2005, the M.S. degree in electrical engineering from the University of Tehran, Tehran, Iran, in 2008, and the Ph.D. degree in electrical engineering from Missouri University of Science and Technology, Rolla, MO, USA, in 2014. From 2014 to 2015, he was a Postdoctoral Research Associate at North Carolina State University, Raleigh, NC, USA. From 2015 to 2016 he was a Principal Scientist at Toyota Research Institute of North America, Ann Arbor, MI, USA. He is currently an Assistant Professor with the Department of Electrical and Biomedical Engineering, University of Nevada, Reno, NV, USA. His research interests include electric-drive vehicles, energy management, renewable energy systems, flexible AC transmission systems, and smart grid.

Speaker
Poria Fajri / University of Nevada, USA

Abstract

Biometrics is the process of uniquely identifying individuals based on one or more physical, behavioral, or cognitive characteristics. An Electroencephalogram (EEG) is the recording of electrical activity recorded from the surface of the brain, these records are the synchronized electrical activity of neurons within the brain.There is a significant heritability of brain wave patterns, which indicates that there is a significant amount of individuality in the EEG within these frequency bands. Moreover there is a genetic component of the EEG that provides support to its applicability for user authentication and/or identification - as a behaviometric. The need of a new behavioral biometric (Behaviometric) is derived from the need of securing important facilities and important information. Most of the market available secure systems can be penetrated by hacking or by a mistake of one the authorized users. The good thing about using EEG is that it covers many of the security requirements unlike other techniques; Users can change their password by selecting a different mental tasks, its prone to shoulder surfing no one can view your thoughts, Users have to do the authentication their selves, they can’t give a copy of the password and they have to be alive. One of the most common used authentication techniques is finger print recognition; if the user fingerprint is captured by an intruder, when the system administrators discover this breach the user and the intruder will be prevented from entering the system, The benefits of EEG based authentication system is enormous, it has all the principle benefits of more traditional authentication methods.

Biography

Speaker
Mohamed Roushdy / Ain Shams University, Egypt

Abstract

In an industrially advanced world of today, the demand for electrical energy from day by day is inevitable. The fast depleting nature of conventional energy sources is standing on the way of socio-economic growth in the developing and underdeveloped countries. Therefore it is a rational idea to encourage renewable sources for power production. Among the renewable sources the photovoltaic (PV) is really a game changing technology as it is clean, green, portable, and scalable, etc. The two traditional barriers that PV power encounters are high capital cost and low power conversion efficiency. Also, PV panels exhibits nonlinear voltage-current characteristic, with a divergent maximum power point (MPP), which relies on two crucial environmental factors like insolation and temperature. To yield maximum power from the solar panels, they have to be maneuvered at their MPPs despite the unavoidable changes in the environment. The technique of extracting the available peak power in a given time from the PV panel through appropriate power electronic converter and controller is called maximum power point tracking (MPPT). Over the past decades many MPPT techniques have been explored. This talk will emphasize on various conventional power extraction schemes and its demerits. Also it would suggest new MPPT algorithm which will prevail over even when the panels are shaded where the mundane algorithms may go futile.

Biography

R.SRIDHAR (8th Oct 1980) was born in Tamil Nadu, India. He received the Bachelor of Engineering degree in Electrical and Electronics Engineering from A.K College of engineering (now Kalasalingam University), Srivilluputhur, Tamil Nadu, India and Master of Engineering degree in Power Electronics and Drives from SASTRA University, Thanjavur, India, in 2002 and 2004 respectively. He served as an Assistant Professor (Grade-1) in the Department of Electrical and Electronics Engineering, SRM University, India, during 2005 to 2012 and now he is working as an Assistant Professor (Selection Grade) in the same department. He has good expertise in the field of power electronics and its interface with renewable energy systems. He has done research works on power extraction algorithms in PV system during uniform and non uniform irradiation conditions, soft computing techniques for optimizing PV power, PV reconfiguration etc. He has published as many as 6 papers in Science Citation Indexed journals which come under the ambit of John Wiley, ASME, Taylor and Francis publications. Also he has published 21 Scopus indexed journals. His idea paper on PV water pumping systems using BLDC motor system fetched him a gold medal in Research day conference in SRM University in 2016.He is handling 2 funded project worth 5 lak rupees currently.

Speaker
R. Sridhar / SRM University, India

Abstract

The requirements for higher-data-rate serial-link design willcontinue to grow with the increasing demand for multi GHzcommunications data links. Serial data links are used to transfer high-speed data for on-chip and off-chip applications.The CMOS technology scalingtrend of smaller supply voltage makes it more difficult todrive higher frequency signals off-chip. At high data rate,crosstalk, jitter, data skew and inter-symbol interference(ISI) become more challenging in the design of serial-linktransceivers. The SerDes architecture is commonly used as a serial linkand many different architectures have been presented fordifferent applications. The SerDes link uses complexcircuits and consumes a relatively large amount of DC power and area on chip. Different challenges are facing SerDes architecture designers such as jitter effect andgenerate an accurate high frequency reference clocking signal. In addition, the transmission channel is one of the limitations to increasing the link data rate due to the channel attenuation and reflections. Different time-based architectures have been presented by usas an alternative to the SerDes architecturefor different applications in order to simplify the serial link circuit design and push the frequency limitations further. Time-based serial links uses lower input clock frequency signal at the transmitter side compared to the conventional SerDes architectures. They also consume less power and area on chip. The time-based transmitted signal bandwidth occupies much lower bandwidth than in the SerDesarchitecture for the same link rate. In the time-based serial links, the jitter effect is not an issuewhen using differential time signalling technique.

Biography

Speaker
Mostafa Rashdan / Aswan University ,Kuwait

Abstract

Future technology should be founded on solid fundamentals. With respect to the electric energy transfer, such solid fundamentals were developed recently in a frame of the Currents’ Physical Components (CPC) – based power theory. This theory identifies all physical phenomena that degrade the effectiveness of the energy transfer in electrical and electronics systems. The CPC-based power theory creates also new fundamentals for synthesis and control of reactive, switching and hybrid compensators for improving the effectiveness of the energy transfer, meaning solid fundamentals for the future compensation technology. Currents’ Physical Components (CPC) - based power theory identifies seven distinctive physical phenomena that affect the energy flow in electrical systems. Seven current components are associated with these phenomena in the CPC-based power theory concept. Only one of them contributes to the useful transfer of the energy. Remaining six components only degrade the effectiveness of this transfer. These conclusions are valid for electrical systems of any complexity, meaning for single- and three-phase three- and four-wire systems with linear and nonlinear loadsandnonsinusoidal, asymmetrical and semi-periodic voltages and currents. The harmful physical components of the supply currentscan be reduced by various compensators. The presentation will provide fundamentals of the CPC-based power theory and fundamentals of synthesis and control of the reactive, switching and hybrid compensators. It will be illustrated with numerical examples.

Biography

Leszek S. Czarnecki done Ph.D. (1969), Silesian Tech. University, Poland D.Sc. (1984), Silesian Tech. University, Poland Research interests are Power electronics, non sinusoidal systems, network analysis and synthesis. Division of Electrical & Computer Engineering

Speaker
Leszek S. Czarnecki / Louisiana State University Session ,USA

Abstract

Deregulated electricity markets operate under bilateral, pool or hybrid market. In this competitive electricity market, Independent System Operator (ISO) should allocate transmission losses among the involved partners in a fair way. Transmission losses and its cost allocation procedures are considered to be one of the key processes in deregulated electricity market by the ISO. Especially under abnormal conditions, it is still a challenging task by the system operators to allocate the cost incurred due to transmission loss. Transmission loss pricing should take into account the distance between the generator and the load. This presentation discusses in detail the recent and relevant loss allocation methods like penalized quoted cost (PQC), proportional generation and proportional load (PGPL), proportional sharing, Zbus and modified Zbus method. The significance of PQC and PGPL methods are highlighted with other methods. Impact of various other factors on loss/cost allocation process is also to be discussed in the presentation. The results are presented with standard sample system for illustration. The simulation results are obtained using MATLAB R2014a.

Biography

S.Prabhakar Karthikeyan has completed his B.E (EEE) from University of Madras, Tamil Nadu (1997), M.E (Electrical Power Engineering) from The M.S. University of Baroda, Vadodara, Gujarat (1999), PhD from VIT University, Tamil Nadu, India (2013) under the guidance of Prof.D.P.Kothari He has also completed his Post-Doctoral Fellow from Central Power Research Institute, Bengaluru, Karnataka, India. He is presently with the VIT University as Associate Professor. He is Senior Member-IEEE, He has published 31 peer reviewed journals which includes Elsevier, IET, Springer publications and 77 National and International Conferences. His area of interest includes Deregulation and restructured Power systems under Smart Grid environment, issues in distribution systems.

Speaker
S.Prabhakar Karthikeyan / VIT University, India

Abstract

Carry Look-Ahead structure in combinational logic is widely used and studied in textbooks. The essential feature of using this method in combinational circuits’ components is to leverage on the speed in tradeoff increasing the area. Sequential circuits, assuming synchronous, are actually bandlimited by the speed of clock frequency, which in turn bounded by the speed of Flip-Flop circuit and feedback combinational circuit. Several attempts in reducing the frequency of synchronous circuits are targeted to improve the Flip-Flop circuit structure; for example, having different topology circuits of Flip-Flops. Other attempts are made to reduce the delay depth of feedback combinational circuit. Consequently, large states size sequential machines have dominant wide depth combinational logic that usually force the designers to split the design into several cascaded chunks. Such that, the edges of the chunks are considered the ripple states and penalty additional timing constraint on clock frequency. As parallel counter on the order of 10-20 bits is used in Giga-frequency PLL feed-back divider applications, designers are challenged with the size and Giga-speed requirements of such common component that is hard to see as a non-existence component in ICs chips. One way to obviate the rippling between chunks of sequential machines is to introduce a new concept that is “Carry Look-Ahead States”, which is analogues in terms of features (advantages/disadvantages) to carry Look-Ahead combinational circuit. The new design concept is mainly depending on how to take advantages of Setup/Hold timing between clock and states. Additionally, the design idea is preparing the right states before triggering the chunks of sequential machines. Thus, at the triggering (rising or falling) edge of clock all chucks have the right setup states, and thus, they works in parallel. On this talk, I would like to elaborate more about this a new concept of the design, and how it is used in design sequential circuit. I will take a counter as a real example of this work since is used in most if not all ICs Chips. Besides, I will show how basic counter of large size at old technology 0.15µm technology with simple gate logic (NAND and NOR) can run at Giga-speed, an application that is common for most communication arena.

Biography

Saleh Abdel-hafeez Ph.D. In ASIC's design, VLSI system design, and high performance Computer architecture design. PhD Area of research: Fuzzy logic and neural net processing algorithms. All required VLSI and VHDL chip implementation. Dissertation Title: "ASIC IMPLEMENTATION OF THE SYMMETRIC FUZZY PROCESSOR AND ITS APPLICATION TO ADAPTIVE SYSTEMS"

Speaker
Saleh Abdel-hafeez / Jordan University of Science and Technology Session ,Jordan

Abstract

This talk presents millimeter-wave antennas for future applications such as communications, medical, imaging, radar applications.1. High-gain Millimeter-wave (mm-Wave) Antennas and their Applications: In the new emerging millimeter-wave (mm-Wave) technology and its applications to antennas, Dr. Ahmed has recently carried out research on design and prototyping of several mm-wave antennas implemented with different technologies in the Ka-, V-, and W-bands. To improve the performance of planar microstrip antennas in terms of bandwidth and gain, Dr. Ahmed has contributed in the development of new agile antenna designs using dielectric lens structures. In this context, he has designed a novel circularly polarized microstrip/dielectric ring resonator antenna for mm-wave application. Dr. Ahmed have made a number of journal and conference publications illustrate his progress in this topical area. Recently, he has submitted a book chapter on mm-wave antennas for short-range communications. In addition, he developed mm-wave radiation patterns measurement facility (30-110 GHz) at KACST-TIC in RFTONICS at King Saud University. It is planned to use the developed mm-wave antennas/arrays as sensors in building mm-wave homeland security detection and imaging systems.

Biography

Dr. Osama M. Haraz has been working on antennas and radiofrequency (RF) techniques for more than fifteen years. He has made many pioneering contributions in antenna and microwave areas, and he has published more than 34 technical papers in excellent refereed journals and 58 conference proceedings. In addition, he collaborates extensively with industry in telecommunications. The talk will cover his recent and future research contributions which are mainly in the following topics:

Speaker
Osama M. Haraz / Assiut University, Egypt.

Abstract

Solar energy is one of the methods for power supply by solar cells. Benefiting from maximum efficiency of such power sources is considered as a fundamental and undeniable necessity. Solar cells rarely perform in maximum power point, because output power of the cell severely influenced by three factors including angle, radiation intensity and climate temperature. Therefore, maximum power point tracking (MPPT) plays important role for increasing the efficiency of such systems. In this project as Perturb and Observe (P&O), method has higher reliability and tracking continuously conducted in least time and could be easily launched, it is used for MPPT in solar cells. Then, an optimizing or intelligent (Fuzzy/ Honey Bee) will be such designed that has a desirable response speed. In the thesis the p&o method which has high reliability and continuous tracking at the time a company’s optimization algorithm (fuzzy) for maximum power point tracking (MPPT) in solar cells for energy subsystems of a satellite is designed and simonized. In this method algorithm membership function is optimized with bee colony algorithm. The simulation results demonstrate that by using fuzzy algorithm with no dependency to the physical parameter of solar cells and no temperature and illumination as well. It would be achieved power isolation reduction resulting in power lost rendition just by proper switching. In bee colony-fuzzy method with lower quantity of goal functions it has gotten more optimized points. Thus both cost and speed is improved.

Biography

Afshin has completed his master degree at fromIran University of Science and Technology, Tehran, Iran. He is seeking a PHD Position in the field of Electrical Engineering with special interests inRenewable Energy, solar panels and various types of dc-dc converters. He has published 2 papers in reputed journals in Iran that one of them is about solar energy and another is about dc-dc converters.

Speaker
AfshinBalal / Iran University of Science and Technology, Iran

Abstract

Organic liquid scintillator detectors are becoming popular in radiation detection applications including nuclear decommissioning, nuclear safety and security as a result of recent advances in digital pulse-shape discrimination methods. They generally sensitive to both neutrons and gamma rays, where pulse shape discrimination can be used to discriminate between neutrons and gamma rays. Development of technologies for the rapid, in-situ characterisation of contaminated facilities (where man-entry is not possible) is a key requirement to speed up nuclear decommissioning process. Similarly prevention of nuclear terrorism is dependent upon the accuracy and strength of the radiation monitoring systems. Experimentally collected events are discriminated between neutrons and gamma-rays using pulse shape discrimination, and images produce for each measurement in terms of the angular distribution (i.e. intensity of the radiation type) of events for total counts, gamma rays and neutrons. Based on these images, it can be easily identified the actual location of the source.

Biography

Dr Kelum Gamage (BSc, PhD, CEng, SFHEA, FRSA, SMIEEE, MIET) is an Associate Professor in the School of Engineering at University of Glasgow. He has a wide-ranged successful experience in radiation detection, and is a leading expert in mixed-field radiation imaging and instrumentation methods. He holds a patent for a system designed to image fast neutron-emitting contamination (Patent No. GB2484315, 2012). Dr. Gamage has authored over 60 peer-reviewed technical articles, where his research group activities are primarily focused on the development of novel radiation instrumentation and techniques for nuclear decommissioning and security applications.He is an Editor for Radiation Protection and Dosimetry Journal (publisher: Oxford University Press).

Speaker
Kelum Gamage / University of Glasgow, United Kingdom

Abstract

Distributed power generation systems (DPGS) (i.e. Solar, Wind, Fuel-cells, Batteries, Electric vehicles etc.) will be a future need of electrical utility grid. At present, power electronics converters (inverters) based distributed generators (DGs)/ distributed storages (DSs)plays a vital role in transferring DC power to AC grid. In order to feed power to utility grid, inverter carrier signal should be in phase with grid fundamental voltage phase angle in order to maintain reactive power mismatch as the point of common coupling. Grid standards/codes mentioned that tripping of grid-tied inverter should be limited by decreasing the disconnection time based on the voltage and frequency variation information which is a function of reactive power. Further, power factor during the operation of inverter/ loads should be maintained as high as >0.9 which will help in maintaining voltage at the point of common coupling. Grid synchronization based on non-linear phase-locked-loops (PLLs) algorithms are able to synchronize the power converters within two fundamental cycles (i.e. 1cycle =0.02 secs. with respect to fundamental frequency of 50 Hz). However, PLLs are highly sensitive to noise injection and due to closed loop nature tuning methods requires additional efforts. Open loop grid synchronization schemes overcomes the aforementioned issues of PLLs. Dynamic response of open loop synchronization algorithms is robust and digital computational burden is less demanding. In order to achieve success in improving overall performance of the open loop algorithms, frequency estimation techniques has to be explored further and employed with both single-phase and three-phase systems.Distributed power generation systems (DPGS) (i.e. Solar, Wind, Fuel-cells, Batteries, Electric vehicles etc.) will be a future need of electrical utility grid. At present, power electronics converters (inverters) based distributed generators (DGs)/ distributed storages (DSs)plays a vital role in transferring DC power to AC grid. In order to feed power to utility grid, inverter carrier signal should be in phase with grid fundamental voltage phase angle in order to maintain reactive power mismatch as the point of common coupling. Grid standards/codes mentioned that tripping of grid-tied inverter should be limited by decreasing the disconnection time based on the voltage and frequency variation information which is a function of reactive power. Further, power factor during the operation of inverter/ loads should be maintained as high as >0.9 which will help in maintaining voltage at the point of common coupling. Grid synchronization based on non-linear phase-locked-loops (PLLs) algorithms are able to synchronize the power converters within two fundamental cycles (i.e. 1cycle =0.02 secs. with respect to fundamental frequency of 50 Hz). However, PLLs are highly sensitive to noise injection and due to closed loop nature tuning methods requires additional efforts. Open loop grid synchronization schemes overcomes the aforementioned issues of PLLs. Dynamic response of open loop synchronization algorithms is robust and digital computational burden is less demanding. In order to achieve success in improving overall performance of the open loop algorithms, frequency estimation techniques has to be explored further and employed with both single-phase and three-phase systems.

Biography

Anant Kumar Vermais a research scholar at National Institute of Technology Hamirpur, India. His current research interest includesModelling of Power Electronics Converters, Grid Synchronization and Grid Integration of Electric Vehicles.

Speaker
Anant Kumar Verma / National Institute of Technology, India

Abstract

Opportunistic Mobile Networks (OMNs) have recently emerged to reduce the booming traffic of cellular networks by establishing device-to-device communications between mobile nodes in proximity. The performance of data delivery in OMNs heavily relies on the nodes’ contact opportunities as well as their cooperation degree. In general, mobile nodes with strong social ties meet each other more frequently, and they are more willing to cooperate with each other in data delivery. However, identifying the willingness level of nodes based on their social tie strength is a non-trivial problem because the network is distributed and the cooperative behavior of nodes is spread in space and time. Thus, a major question how a social tie-driven data delivery can predict the data delivery behaviors of mobile nodes, and thus streamline the network throughput? In this talk, I plan to present a signaling game-based learning approach to model interactions between nodes in OMNs where they do not have prior knowledge about the cooperative preferences of each other. When two nodes encounter each other, they exchange their social features that can help them to identify the strength of social ties and initialize their belief about each other. When they exchange messages, they update their tie strength and belief about each other (and other nodes) based on the properties of each received message. We apply Bayesian Nash Equilibrium and Perfect Bayesian Equilibrium to analyze one-stage and multi-stage node interactions, find their best response strategies based on their current beliefs, and prove that a player would gain an optimal payoff given the strategy of another player. Our experiments using real-world datasets demonstrate that utilizing the nodes’ social ties can help predict their data relaying behaviors accurately that results in an efficient and effective data delivery in OMNs.

Biography

Behrouz Jedari received his B.Sc. and M.Sc. degrees in 2006 and 2009 from Azad University and his Ph.D. degree from Dalian University of Technology in 2017. He is currently a post-doctoral researcher at Aalto University in Finland. He has (co)authored more than 10 papers in the area of wireless networks in top-tier IEEE and Elsevier journals and transactions such as IEEE TMC, IEEE TVT, IEEE TCSS, and FGCS. Furthermore, he has been serving as a program committee member in some conferences, such as IEEE ICC 2017, IEEE/IFIP 2018, and CommNet 2018. His research interests include self-organizing wireless networks, social computing, and game theory.

Speaker
Behrouz Jedari / Aalto University, Finland

Abstract

The liberalization of the electricity market in recent years has led to strong competition for electricity producers to reduce electricity prices or generate electricity and increase profits. The physical constraints of the network can have a profound impact on the economic decisions of producers, which sometimes conflicts with the interests of consumers. This paper presents a three-level smart theory based on game theory to examine individual strategies and collaborative strategies of manufacturers in the electricity market, taking into account all the physical constraints and limitations of the network.At the initial level, the Particle Swarm Optimization (PSO) algorithm has been implemented to determine the optimum power distribution resources (DER) in the power grid by considering all the technical and economic constraints with the aim of maximizing the profits of each of these resources. In addition, using a fuzzy algorithm (FLC), for modeling the uncertainty of renewable resources and load demand in the power grid is implemented. At the intermediate level, DER sources are grouped into different fuzzy logic groups. Finally, at the secondary level, the DERs in each group can be combined with one another for cooperative game theory based algorithms to get more coalition profits. Then, profit fair allocation from the coalition formation is also made at this level using the Shapley, Nucleolus and merge/split methods.

Biography

I received M.Sc. degree in electrical engineering with emphasis on power engineering from university of Tabriz, Iran, in 2013. Since 2014, I have been involved in different research projects at power marketing with emphasis on smart and microgrids. Since 2015, I joined university of science and apply, as a group manager of Electrical engineering. My research interests include power marketing and energy management systems. Recently, I have been focused on dynamic pricing and profit allocation of DERs in power systems. My research findings have been published in 2 journals, more than 10 top field conference papers and 1 international conference.

Speaker
MiladMoafi / Power Distribution Company of Mazandaran, Iran

Abstract

This works present a method to fault location at transmission lines in time domain, considering a line model with distributed parameters, based on Telegraph Equation and its solutions through characteristics method. Modern techniques of high velocity signals processing are applied, this is possible through recent implementation of A/D converters high velocity in relays commercial, besides along with sending and receiving synchronized GPS measurement of current and tension, the velocity and precision are exceeded than the traditional Fourier digital algorithms based on estimation of phasors. Developed algorithms are implemented on ATP EMPT, Matlab and Simulink, with different sample frequencies on the simulations to performance evaluation, in this way is possible outweigh implementations limitations and test digital algorithms developed until now

Biography

Ing. Juan Carlos Quispe H. master's student at the Institute of Electrical Energy (IEE) of the National University of San Juan, Argentina; culminated the career of electrical engineering in the National University of Engineering from Lima, Peru. Is developing new research in the area of Electric Power Protections. Dr.-Ing Eduardo Agustín Orduña, Electrical Engineer of the National University of San Juan Argentina (UNSJ), PhD in Electrical Engineering in the Institute of Electrical Studies of the UNSJ (IEE) in collaboration with the University of Dortmund Germany. He also has Post-Doctoral Studies with the University of Erlangen in Germany.

Speaker
Juan Carlos.Quispe / National University of San Juan, Argentina

Abstract

Any radio frequency (RF) transmitting device, such as a cell phone or laptop computer connected wirelessly to a network, has the potential to electronically interfere with the operation of another electromagnetic device because of the physics governing radio waves: as electrons move, they create electromagnetic waves that spread through free space and potentially interact with each other. In healthcare facilities, wireless EMI occurs when wireless devices interfere with medical equipment, potentially causing equipment malfunction. The main objective of this presentation focused the causes of Electromagnetic interference and the methods of compatibility in healthcare industry. Electromagnetic compatibility is the branch of Electrical Engineering concerned with the unintentional generation, propagation and reception of electromagnetic energy which may cause unwanted effects such as electromagnetic interference (EMI) or even physical damage in operational equipment. Electromagnetic compatibility, EMC is the concept of enabling different electronics devices to operate without mutual interference called electromagnetic interference. When two devices are operated in close proximity to each other, introduces electromagnetic interference. Electronics circuits have the possibility of radiating of picking up unwanted electrical interference, which can compromise the operation of one or other of the circuits. The important elements of EMC are EMI emissions, susceptibility and immunity.

Biography

Dr.P.Jothilakshmi has completed his PhD at the age of 40 years from Anna University. She is working as a Professor in Electronics and Communication Engineering Department at Sri Venkateswara College of Engineering, a reputed organization. She has published more than 65 papers in reputed journals and conferences. She has been serving as an editorial board member of repute.

Speaker
.P.Jothilakshmi / Sri Venkateswara College of Engineering, India

Abstract

One of the biggest challenge in miniaturize antenna is a near field reactive power and decrease of radiation resistance of ESA. Far field radiation reduction of antenna emerge from this problem. In this case we have large reactive term of antenna impedance which behave like big positive capacitance or inductance or even more complex of both. Subsequently reflection coefficient increases at lower frequencies make low radiation specifications for antenna. In NIC circuits, reactive term of impedance behave as negative reactance and in theory can cancel big positive term of antenna reactance. This negative impedance do not follow Foster reactance theorem and called Non Foster. In this report, a Non Foster circuit has been developed, for electrically small monopole antenna at 500 MHz resonance frequency and implemented in HF to L band frequencies ( 30 MHz ~ 2.3 GHz ) by define optimized impedance in stable regions in best performance.

Biography

Shayan Gorji has completed his M.S at the age of 25 years from Islamic Azad University Science and Research Branch. He is the designer at Satellite Research Institute of Technology at Amirkabir University of Technology - Tehran Polytechnic November 2016 - Present.

Speaker
Shayan Gorji / Islamic Azad University, Iran

Abstract

In recent years, using distributed generation has increased in order to compensate the load growth. Although connecting distributed generation resources to power system grids have many benefits, it may cause some protective problems such as miscoordination between network protection devices. Using distributed generation resources lead to change the short circuit level in the power system. For this reason, the presence of these resources may have adverse effects on overcurrent relay protection coordination. using fault current limiters for restoring overcurrent relay protection coordination is proposed in many researches. Meanwhile, optimal initialization and placement of overcurrent limiter is so important. In order to the considered placement and sizing, genetic optimization and linear programming are used for optimization. In addition, the network topology changes can impact onthe overcurrent relay protection coordination,so the fault current limiter values optimization must consider this changing. Therefore, the proposed methodsmust be robust during the topology change.

Biography

Navid Bayati was born in Arak, Iran, in 1992. He received the B.Sc. degree in Electrical Engineering from Arak University, Arak, Iran, in 2014. Also, he received the M.Sc. degree in Electrical Engineering from Amirkabir University of Technology, Tehran, in 2017. he is currently studying P.hD in power system at Aalborg University. His research interests are power system protection as well as power system operation and optimization methods.

Speaker
Navid Bayati / Aalborg University, Energy Technology, Denmark

Abstract

In today's smart grid environment existing fault diagnosis methodology emphasizes the need of more advanced, accurate and sturdy strategies. Present distribution networks change drastically due to expansion and inclusion of large number of distributed generation units into power system at distribution level. Due to availability of sophisticated and information technology automation is possible in variety of day to day power system operations. Today’s passive distribution and sub distribution substations are converting into more active one. The key note speech will focus on the challenges faced by existing distribution substation companies from developing countries for the monitoring and control tasks and emphasizes the need of incorporating changes required to alleviate these problems towards sustainable development of their services. Some key features of smart distribution monitoring systems making use of different tools and techniques like smart sensors, smart meters, intelligent electronic devices with global positioning systems for communications, toperform the taskoffault location will be discussed. Fault diagnosis methodologies by making use of advanced signal processing techniques, wavelet feature extraction techniques will be presented. The talk will highlight the methods of achieving automation in fault diagnosis tasks, improved power quality, reliability, resilience and self-healing property of the smart grid distribution system.

Biography

Mangal Hemant Dhendis working as an engineering college professor since last 25 years. She has received many awards like “Distinguished Women Engineer” by Venus International, “SamparkMitra” by National NGO, “Best teacher of Institute” (7 times) and “Best Head of the Department” ( consecutive 3 years) and Best paper award . Her research topic is “Distribution system monitoring and fault diagnosis in smart grid system”. She has been invited by many countries like Singapore, Taiwan, China, UK, and Spain to present her research work related to smart grid in international conferences. She is an author of four books and has published more than 45 papers in International and National Journals and conferences.

Speaker
Mangal Hemant Dhend / SPP University, India

Abstract

This study seeks to determine and analyze the information technology (IT) factors that impact different annual turnover outcome of small family businesses (SFBs) in Nepal. Information Technology (IT) factors affecting the performance of SFB’s was analyzed using binominal logistic regression model. This study uses the results from a survey of 210 SFBs owner/manager. Instrument reliability was measured by Cronbach’s alpha. The result indicates that SFBs having good infrastructures in the form of Internet, telephone and people are more likely to positively influence performance and have positive impact on annual turnover. It was also found that estimated probability that the turnover of SFBs increase with respect to age.

Biography

Dr. Bijay Kumar Kandel is visiting professor of Graduate School of Business at the University of South Pacific, Fiji, Business and Management Information Systems in Business School at the Kathmandu University, Nepal, and Oriental University, India. Dr. Kandel earned his Ph.D. in Management from Sri Sri University. He is also a Fellow member of British Computing Society. He has over 13 years of teaching and research experience. His teaching interests cover a range of topics including; Business Computing, Management Information System, Strategic Management, International Business Management and Business Entrepreneurship. Dr. Kandel research interests are Technology Management, Use of Information Technology (IT) in Small Family Business, IT in South Asian countries, Innovation and Business Research Methodologies. He is particularly interested in the discovery of the impact of new technologies

Speaker
Bijay Kumar Kandel / South Pacific University, Fiji

Abstract

This paper presents a model for a microgrid optimal scheduling problem with the aim of enhancing its resiliency through demand response programs in a local market platform. The microgrid contains dispatchable units, wind turbines, energy storages, and loads. Several DR programs are defined and effects of these programs in improving the resiliency of the microgrid are investigated. Furthermore, loads and microgrid operator can participate in the available local market to make contracts. The responsibility of the microgrid resiliency lies with microgrid operator which can use diverse kinds of DR programs to enhance it. A stochastic programming approach is used for modelling of the proposed problem. In order to consider the uncertainties of the renewable generation and load forecasting, a number of scenarios are generated and then using scenario reduction methods, they are diminished. Numerical simulations demonstrate the effectiveness of the proposed model in enhancing the resiliency applied to a test microgrid.

Biography

Ali Shakeri Kahnamouei received the B.Sc. degree in electrical engineeing from the University of Tabriz, Tabriz, Iran, in 2014. Afterwards, he received the M.Sc. degree in Power Systems Engineering from the Tarbiat Modares University, Tehran, Iran, in 2017. He is currently pursuing the Ph.D. degree at the Tarbiat Modares University. His research interests include smart power grids and power system resiliency.

Speaker
A. Shakeri Kahnamouei / Tarbiat Modare University (TMU), Iran

Abstract

Traffic congestion is a big problem in day to day life activity. We come across such situation in critical hours. It is observed that the existing approaches are not sufficient to control the traffic flow and provide an optimum green path to the emergency vehicles. Therefore, Automated traffic control system paves way to alternative solution for hassle free movement of ambulance. The proposed system will automatically control the traffic signal, and use GPS to trace the location of the emergency vehicle and send a message to embedded system gives solution for emergency vehicle. RFID technology permits to detect the presence and identify the emergency vehicle sufficiently in advance. This project aimed to provide clear way to emergency vehicle and smooth function of traffic signal. This project dealt with automated traffic controller and it is compared with fixed mode traffic light controller. It gives efficient operation under emergency situation. This system could be utilized for public usage.

Biography

Dr.RajKumar.E is working as Associate Professor, Department of design and Automation, School of Mechanical Engineering (SMEC), VIT University, Vellore, Tamilnadu, India. He has received B.E. Mechanical Engineering, M.E. CAD/CAM from Anna University Chennai TN, India and Completed PhDfrom VIT UNIVERSITY, Vellore. He has published more than 35 papers in reputed journals and has been serving as an editorial board member of reputed journals. His main research interest includes CAD/CAM, Virtual Prototype Technology and Evolutionary Algorithms in Engineering Applications.

Speaker
Dr.Rajkumar.E / VIT University, India.

Abstract

HEVC, which stands for High Efficiency Video Coding, is the joint video coding standardization project developed by the Joint Collaborative Team on Video Coding (JCT-VC). It is aimed for Ultra High Definition (UHD, 7680×4320) video resolution. The power behind the HEVC standard stems from the different tools that have been newly implemented. It includes both eight-tap and seven-tap interpolation filters for high-accuracy motion compensation (MC). New techniques are incorporated in the HEVC. Among them, we can cite the new coding tree unit (CTU) that partitions the basic units from 64×64 down to 8×8 pixels in a hierarchical manner. Due to the increased computational complexity,the real-time implementation of this standard on different platforms remains a big task for developers. In order to handle the most computationally intensive tasks, Zynq-7000 based platforms have been introduced. In fact, the Zynq All programmable (AP) system on chip (SoC) architecture integrates a processing system (PS) based on a dual core ARM Cortex-A9 processor with a programmable logic (PL) based on Xilinx Kintex-7 family field programmable gate arrays (FPGAs). Using this platform, real-time hardware (HW) acceleration can be achieved on the PL and controlled by a software (SW) application running on the ARM-based PS.

Biography

LellaAicha AYADI was born in Sfax, Tunisia, in 1989. She received her engineer diploma in 2013 from the National Engineering School of Sfax (ENIS), Tunisia. Currently, she is working toward her Ph.D. degree in in Electronic Engineering at the Laboratory of Electronics and Information Technology (LETI)-ENIS. Her main research activities are focused on image and video signal processing, hardware implementation and embedded systems. She is a member of IEEE.

Speaker
LellaAicha AYADI / University of Sfax, TUNISIA

Abstract

Deep learning neural networks (DNN) are widely used as a tool for big data analysis and as a classifier for solving complex pattern recognition problems. While there are several algorithmic implementations, the hardware implementations of DNN is an emerging topic with several open problems to investigate. In this talk, we present an overview of this field, going from the concepts to practical implementations issues. In addition, the emerging topic of memristive crossbar array and in memory computations are discussed. The applications of on-chip implementation range from edge computing devices to intelligent sensory data processing such as​ ​for​ ​pattern​ ​recognition,​ ​biometric​ ​analysis​ ​and​ ​image​ ​processing.

Biography

Alex Pappachen James received the Ph.D. degree from the Queensland Micro and Nanotechnology Centre, Griffith University, Brisbane, QLD, Australia. He works on brain-inspired circuits as well as algorithms and systems. Currently, he is the Head of Electrical Engineering Department and leads the Circuits and Systems Group. He is actively engaged in research commercialization and startups. He has several years experience of managing industry projects and academic projects in board design and pattern recognition circuits, and data and business analytics consulting for IT and semiconductor industry. He is a mentor to several tech startups and co-founded companies in machine learning and computer vision. He has authored more than 100 peer-reviewed publications and is a reviewer for more than 20 prestigious international journals and conferences such as IEEE ISCAS, IEEE ICECS, TCAS, TVLSI, TCAD, TCyb, TEC, and TIP. Dr. James has been an IEEE Section Chapter Chair of the Circuits and Systems Society and Executive Member of IET Vision and Imaging Network. He is the founding chair of IEEE Kazakhstan subsection, and mentor to IEEE NU Student Branch. He was an editorial member of Information Fusion, Elsevier, and is an Associate Editor for HCIS, Springer, IEEE Transactions on Emerging Topics in Computational Intelligence, and IEEE Transactions on Circuits and Systems 1. He is a Senior Member of IEEE, Life Member of ACM, and Senior Fellow​ ​of​ ​HEA.

Speaker
Alex​ ​Pappachen​ ​James / Nazarbayev​ ​University, Australia

Abstract

The evaluation of the information technology demands a processing system that can process big data and perform analysis, future prediction and give solutions in quick time. Therefore, a low-cost, low-power and high-performance supercomputer architecture is required in all fields of academia and research, which can execute supervised and unsupervised artificial intelligence applications. The talk presents different high performance supercomputing system architectures which are the CPU based Supercomputer, the CPU-GPU based Supercomputer and the Embedded Supercomputer system for executing big data applications using artificial intelligence approaches. To handle the big data and solve artificial intelligence problems the speaker will discuss the different deep learning frameworks.

Biography

Dr. Tassadaq Hussain is a permanent faculty member at Riphah International University. He did his Ph.D. from Barcelona-tech Spain, in collaboration with Barcelona Supercomputing Center and Microsoft Research Center. He has more than 13 years of industrial experience including Infineon technology France, Microsoft Research Cambridge, PLDA Italia, IBM Zurich Switzerland, and REPSOL Spain. He has more than 35 international publications and filed two patents. Currently, he is working on artificial intelligence and supercomputing, Software Define Radios, Embedded Computer Vision, high performance signal processing and parallel programming.

Speaker
Tassadaq Hussain / Riphah International University, Pakistan

Abstract

Image denoising plays a significant role in the research area of image processing. In this paper, a new efficient Back-propagation neural network based impulse noise suppression techniques is presented. The proposed techniques works in two stages, i.e. Impulse noise detection and noise filtering. In noise detection stage a feed forward neural network is trained with well-known back propagation training algorithm to classify the noisy and non-noisy pixels in the test image. To make the method most robust in impulse noise detection, emphasis has been put on selection of relevant input and training samples. With appropriate choice of training pattern, the noise detection stepwhich is one of the complex process become effort less as well as reliable. The detection method is then followed by filtering stage.An adaptive median filtering is employed in this stage for restoring the value of the identified noisy pixels in the first stage keeping the non-noisy ones unaltered. The median filter dynamically changes the window size till it get required number of healthy pixels to produce the restored value. The filter is very simple and fast to operate which reduces the execution time.The efficiency of the proposed method is evaluated using different standard images at different noise level. Experiments show that the performances of the proposed techniques are surprisingly satisfactory in terms of both visual quality and quantitative measurement.

Biography

Dr Punyaban Patel, PhD, FIE, FISRD Professor Department of Computer Science & Engineering, Malla Reddy Institute of Technology Maisamaguda, Dulapally, PO: Kompally, Secunderabad,

Speaker
Punyaban Patel / Malla Reddy Institute of Technology, India

Abstract

A new technology for providing support our interaction with our environment is emerging under the umbrella of the flexible printed electronics concept related to the wearables. In this work we present a new approach to manufacture flexible wearable prototypes in an easy and affordable way from both materials and technology points of view. Printed devices are made from processable solutions of functional materials which can be inorganic nanoparticles or salts either organic molecules or polymers, with need much lower temperatures to be processed than is required for polycrystalline silicon or for wiring a conventional PCB. Our work focusses in inkjet printed electronics as a technology to easily design and manufacture prototypes of flexible circuit and hybridize conventional silicon on them. An example is presented developed using a suitable substrate where several layers of functional materials (dielectric and conductive) are deposited using a Fujifilm Dimatix DMP2831 Drop on Demand (DoD) inkjet printer. The example corresponts to a Bluetoth Low Energy system that integrates a 3D MEMS accelerometer oriented to a fall detection wearable. We end up with not only the prototype bu also with a design and implementation methodology that we can compare with convectional PCB’s manufacturing. In it, some chemicals involving steps, such as etching, are now avoided, and clean room conditions are not required.

Biography

Jordi Carrabina, Prof. PhD. leads the CEPHIS laboratory at Universitat Autònoma de Barcelona (Spain). Main interests are physically and functionally flexible solutions for the implementation of Cyber-physical Systems using Reconfigurable computing and Printed Microelectronics Technologies foe eHealth. He is coordinating the master on IoT for eHealth (UAB) and teaching Telecom, EE, and CS and MA Telecom Engineering (UAB) and Embedded Systems (EHU). During last 5 years he has co-authored more than 30 papers in journals and conferences; leaded international R&D projects in ICT; and is active in the creation of spin-off and IP items.

Speaker
Jordi Carrabina / Universitat Autònoma de Barcelona (Spain).

Abstract

The notion of normal fractional positive electrical circuits is introduced and some their specific properties are investigated. New state matrices of fractional positive linear systems and electrical circuits are proposed and their properties are analyzed. The zeros and poles cancellation in the transfer functions of the fractional positive systems is discussed. It is shown that the fractional positive electrical circuits with diagonal state matrices are normal for all values of resistances, inductances and capacitances.

Biography

Tadeusz Kaczorek, born 27.04.1932 in Elzbiecin (Poland), received the MSc., PhD and DSc degrees from Electrical Engineering of Warsaw University of Technology in 1956, 1962 and 1964, respectively. Since 1971 he has been professor and since 1974 full professor at Warsaw University of Technology. In 1986 he was elected a corresponding member and in 1996 full member of Polish Academy of Sciences. In June 1999 he was elected the full member of the Academy of Engineering in Poland. In May 2004 he was elected the honorary member of the Hungarian Academy of Sciences. He was awarded by the title doctor honoris causa by 13 Universities.

Speaker
Tadeusz Kaczorek / Bialystok University of Technology, Poland

Abstract

Goods and service Tax (GST) is one of the most crucial tax reforms in India which has been delayed to execute by the Government of India due to some reliable causes. It was supposed to be implemented from April 2010, but due to political issues and conflicting interests of various stakeholders it is still pending. It is a comprehensive process of tax system (CPoTS) that will subsume all indirect taxes of states and central governments and unified economy into a seamless national market. It is expected to iron out wrinkles of existing indirect tax system and play a vital role in growth of India. This paper presents an overview of GST concept, explains its features along with its timeline of implementation in India .It more focused on advantages of GST and challenges faced by India in execution where, Good and services tax (GST) is the biggest and substantial indirect tax reform since 1947. The main idea of GST is to replace existing taxes like value-added tax, excise duty, service tax and sales tax. It will be levied on manufacture sale and consumption of goods and services. GST is expected to address the cascading effect of the existing tax structure and result in uniting the country economically. The invited paper highlights the background, objectives of the proposed GST and the impact of GST in the present tax scenario in India, further it explores various benefits and opportunities of GST as well as its impact on Indian economic system reflected with the several conditions of product promotion in market imposed with the GST.

Biography

He is an eminent professor & academician of an international repute in the field of management education (Mkt. &HR) and served 22 years service in various Government Colleges. Universities in Odisha and abroad .He has obtained his PG in Psychology from Sambalpur University, Concurred his MBA Degree from Delhi University in 1996, PhD, Degree Department of Management Studies “Birla Institute of Technology , Meshra , Ranchi” in 2000 on the area of Green Marketing & Supply Chain Management (Marketing Management specialization) and Concurred his Post- Doctorate Degree from Patna University in 2003,on the area of “Advanced physiology and Criminology ” He has presently working as a Professor-Cum-Dean at Research &Development Cell, EATM Bhubaneswar. Dr. Rath has guided four PhD research scholars on the specialization area of Green Marketing & supply Chain Management, Consumer Behaviour, and Organizational Behaviour, Production & Operational Management etc. There are 25 International journals and 28 National Journals with two books of publication in his credit.

Speaker
Ramesh Chandra Rath / Einstein Academy of Technology and Management, India

Abstract

Outages may have severe repercussions at sites where public safety and the environment are at risk such as sewage pumping or treatment facilities, mines, certain industrial loads, transportation, and computer server facilities. In this paper the smart approach is proposed to avoid the outages and save energy by means of using demand response and will be compared with conventional solutions.

Biography

Mohammad Niyazi was born in Kermanshah, Iran, in (30,Oct,1989). He received the M.Sc. degree from Sciences and Research, Kermanshah, Iran, in 2015 in electrical engineering. His research interests include Micro Grid and Smart Grid, Renewable Energy, Power Stability and Frequency Control. He is currently

Speaker
Mohammad Niyazi / Monenco Iran Consulting Engineers, Iran

Abstract

Asynchronous machines are most commonly used machine in any industry. Progress of any industry is directly related to production cost. Cost of production can be controlled by proper maintenance of plant and by reducing down time of plants. The reasons of down times in any industry are undesirable defect in any part of industry accompanied asynchronous machines. This paper focuses on detection and diagnosis techniques of asynchronous motor faults. For detection and diagnosis of faults signals generated by asynchronous motor are used. The result of experimental study validates the effectiveness of the developed technique. The results are based on the author’s study in the field of asynchronous motor faults signal analysis under different fault conditions.

Biography

Speaker
Amit Shrivastava / JECRC University, India

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