Keynote speech: Towards semantic interoperability in the Internet of Things
Marcin Paprzycki is an associate professor at the Systems Research Institute, Polish Academy of Sciences. He has an MS from Adam Mickiewicz University in Poznan, Poland, a Ph.D. from Southern Methodist University in Dallas, Texas, and a D.Sc. Degree from the Bulgarian Academy of Sciences. He is a senior member of IEEE, a senior member of ACM, a Senior Fulbright Lecturer, and an IEEE CS Distinguished Visitor. He has contributed to more than 450 publications and was invited to the program committees of over 500 international conferences. He is on the editorial boards of 12 journals and a book series. To reach him, please visit http://www.ibspan.waw.pl/~paprzyck/.
Lack of interoperability of Internet of Things (IoT) platforms / systems / applications (artifacts) is being recognized as an important issue that prevents faster development of IoT ecosystems (including Smart Grids / Homes / Neighborhoods, office buildings, etc.). Acknowledging this problem, the European Commission has funded seven research projects that are to address it. While interoperability can be considered on many levels, here we are interested in semantic interoperability. This is also the focus of current presentation. Based on our recent work, we came to the conclusion that we have to assume that: (i) research should focus on joining at least three artifacts (to avoid “two-platform-simplifications” that can easily “distort judgment”), and (ii) existing IoT artifacts cannot be easily changed (resistance of stakeholders) and / or do not have semantics represented in the OWL language. We also have to assume that, at least for the time being, process of joining multiple IoT artifacts will be guided by representatives of stakeholders (we thus omit considerations related to the discovery and inclusion of services “from the WWW”). Therefore, we have proposed the following approach leading towards establishing semantic interoperability within IoT ecosystems: (1) Modular ontology consisting of: (a) core vocabulary of the IoT, and (b) domain specific modules (facilitating communication concerning given “topic” – one or more modules for each “topic”) has to be developed. (2) Semantics of each artifact has to be extracted and lifted to OWL (providing foundation for semantic translations). (3) Translators (bidirectional – producer and consumer) between the “local vocabulary” and the “lifted vocabulary” have to be created. (4) Alignments (“directional”) between ontologies representing each entity, and appropriately selected modules of the central ontology have to be instantiated and stored. They will be later used in data translations. It should be stressed that, while each step is supported with a set of tools (usability of which depends on the specific situation), none of them can be completed automatically. In other words, it is necessary to have a “human in the loop” to make sure that the resulting vocabularies, alignments, etc. are appropriately high quality. The aim of the presentation will be to provide details of the above described proposal for reaching semantic interoperability in IoT ecosystems. Research presented in the talk is being supported by EU-H2020-ICT grant INTER-IoT 687283.
Keynote speech: Fuzzy Rules Generation from Data with Comprehensibility, Completeness and Correctness
Phayung Meesad is currently an Associate Professor at the Department of Information Technology Management, Faculty of Information Technology, King Mongkut's University of Technology North Bangkok (KMUTNB). He is also the dean of the Faculty of Information Technology, KMUTNB. His research of interests are in the areas of Computational Intelligence, Machine Learning, Data Mining, Digital Signal Processing, and Business Intelligence.
One of the benefits of fuzzy logic is a reasoning mechanism that allows data to be not only be able to make decision but also to understand cause-effect behind them. A suitable fuzzy system must be constructed in such a way that they are equipped with the comprehensibility, completeness, and correctness. Fuzzy rules can be either built from experienced experts or generated directly from data. The rules must be preserved both comprehensibility, completeness, and correctness. This talk presents details how to generate fuzzy rules that have comprehensibility, completeness, and correctness features so that the fuzzy system can make reasoning about the data while keeping the accuracy on the prediction. The method is as follows. Firstly, training data are cluster based on an increment learning fuzzy neural network. Secondly, initial clusters are mapped to fuzzy rules. Finally, the fuzzy rules are optimized based on comprehensibility, completeness, and correctness. Some experiments on pattern classification and time series prediction are illustrated.
Keynote speech: Role of Bio and Nature Inspired computing in Lifestyle and Environment based Human Disorder
Dr. Manik Sharma is MCA, UGC-NET qualified and has received his Ph.D. degree from Punjab Technical University, Jalandhar, India. He has around twelve years of teaching experience. Currently, he is working as an Assistant Professor in the department of Computer Science and Applications at DAV University Jalandhar, India. His areas of research are Distributed Databases, Data Mining and Soft Computing. He has published 03 books. In addition, he has published 14 research papers in various journals of International repute. Additionally, he presented eight research papers in different national and international conferences. Moreover, he is an active member of several International Program Committee, Technical Program Committee, and Advisory Committee of several academics conferences (United Kingdom, Singapore, Mauritius, Thailand, Vietnam, USA, Hong Kong, Canada, UAE, and India).
Everyone insist for a lively, vigorous and easeful life. However, every individual in the whole world has been affected with one or another disease. It has been observed that number of people died due to delayed diagnosis of the disease. On the other hand, early prediction of human disorder can save their life and can oversight the diseases. Precise and early disease diagnosis is one of the challenging research problems that still spur to a great deal of attention. This talk will describe several studies characterizing the role of different bio and nature inspired computing techniques which are used in developing an innovative early diagnosis predictive system for lifestyle and environment based human disorder.
Keynote speech: IoT & Smart Cities Emergences
Vijender Kumar Solanki, Ph.D is Assistant Professor in Information Technology, working with Institute of Technology and Science, Ghaziabad, UP, India. He has more than 10 years of academic experience in network security, IoT, Big Data, Smart City and IT. Prior to his current role, he was associated with Apeejay Institute of Technology, Greater Noida, UP & KSRCE (Autonomous) Institution, Tamilnadu, India. He has attended orientation program at UGC-Academic Staff College, University of Kerala, Kerala & Refresher course at Indian Institute of Information Technology, Allahabad, UP, India.
He has authored or co-authored more than 20 research articles that are published in journals, books and conference proceedings. He has edited or co-edited 2 books in the area of Big Data & Information Technology. He is associate editor of IJMLNCE, and editorial member of many reputed journal. He teaches graduate & post graduate level courses in Information technology at Institute of Technology & Science, Ghaziabad, UP, India. He received Ph.D in Computer Science and Engineering from Anna University, Chennai, India in 2017 and ME, MCA from Maharishi Dayanand University, Rohtak, Haryana, India in 2007 and 2004, respectively and a bachelor's degree in Science from JLN Government College, Faridabad Haryana, India in 2001. He is guest editor with IGI-Global, USA, InderScience & Many more publishers. He can be contacted at firstname.lastname@example.org .
As the population is increasing and resources are decreasing, it’s the high time, when mostly developed countries are opting for smart home solutions. In the development of smart home, information technologies are playing important roles. Automation in term of, sensors based devices are proving smart picture by making life easier and saving lot of energy and resources. The use of Internet of Things has ensured the life realm easy and as the devices connectivity growth, life becoming more smarter. Against the background of economic and technological changes, it’s the right time to start understanding concept of Smart City.