8th Global Conference on Information Communication Networking (INS)

8th International Conference on Information Communication Networking (INS)
Occasion on 2017-07-24 09:00:00
The goal of DCNET 2017 is to bring collectively researchers, engineers and practitioners interested on communication networking between computer methods or other digital devices.Computer networking is a combination of knowledge associated to the places of telecommunications, pc science, details technologies and/or personal computer engineering. Information communication networks depend heavily upon the theoretical and sensible application of these scientific and engineering disciplines. DCNET encompasses a diversity of factors, from network architecture and protocols, to network management, monitoring and control, functionality examination, sensor nets, companies over networks, LANs and WANS, to greater training in the information communication field. Conference CO-CHAIRs Mohammad S. Obaidat, Fordham University, United StatesEnrique Cabello, Universidad Rey Juan Carlos, Spain Program CHAIR Christian Callegari, RaSS National Laboratory – CNIT, Italy Nearby CHAIR Ángel Serrano Sánchez de León, Universidad Rey Juan Carlos, Spain Keynote Speakers   Subsequent Generation Emergency Communications Charalabos Skianis University of the Aegean Greece Brief Bio Dr. Charalabos Skianis is presently an Associate Professor with the University of the Aegean, Greece. He is acting as Head of the Department and Director of Postgraduate Research in the Engineering Department of Information and Communication Programs, University of the Aegean, Greece. He holds a PhD degree in Pc Science, University of Bradford, United Kingdom and a BSc in Physics, Department of Physics, University of Patras, Greece. His recent study activities take on Novel World wide web Architectures and Solutions, Cloud Computing & Networking, Power & Context conscious Next Generation Networks and Services, management aspects of mobile and wireless networks, ubiquitous and pervasive computing and End-to-End Quality of Service provisioning in heterogeneous networks setting. He has been actively doing work on the region of laptop and communication methods efficiency modeling and evaluation the place he has launched different methodologies for the approximate examination of specific arbitrary queuing network models. He is also keen in traffic modeling and characterization, queuing theory and visitors control of wired and wireless telecommunication techniques. His operate is published in journals, conference proceedings and as guide chapters and has also been presented in quite a few conferences and workshops. He acts inside Technical System and Organizing Committees for several conferences and workshops and as a Guest Editor for scientific journals. He is at the editorial board of journals, a member of pronounced professional societies and an lively reviewer for a number of scientific journals. He is an lively member of numerous committees and organizations eg., past IEEE ComSoc CSIM chair, training board, younger researcher awards board, at present accountable for DLT system for EMEA area. He has participated in many R&D tasks Nationally and EU funded and has acted as task coordinator, technical manager and spouse representative.   Evangelos Pallis Technological Educational Institute of Crete Greece Brief Bio Dr. Evangelos Pallis is Associate Professor in the Informatics Engineering department at TEI of Crete, acting as director of the Network Engineering division, Head of the Analysis and Growth of Telecommunications Systems laboratory (PASIPHAE) and departmental coordinator for the ERASMUS+ programme. His analysis interests are in the fields of wireless networks and mobile telecommunications, linear and interactive broadcasting, network management and QoS, as properly as in support/network virtualization in excess of SDN/NFV infrastructures. He has participated in far more than 30 National and EU-funded R&D projects, acting as technical and/or scientific manager, and at the moment is involved in the ICT/FP7 619520 “T NOVA”, the H2020-DRS-653762 “EMYNOS” and the KA203-023637 “NEREUS” EU-funded tasks. Evangelos Pallis is member of the IEEE/ComSoc, holds the General Chair of the bi-yearly International Conference on telecommunications and Multimedia (TEMU), which is technical co-sponsored by IEEE/ComSoc, editorial board member (regional editor) for the Details Technological innovation Journal and the Investigation Journal of Data Technological innovation of Science Alert, energetic reviewer in scientific journals, and distinguished member of the “Union of Regional Televisions of Greece”. Abstract Existing emergency techniques and 112 solutions are based mostly on legacy telecommunication technologies, which are not able to cope with IP-based companies that European citizens use each day. Some of the related limitations are the partial media assistance (so far, only voice calls and SMS are accepted), the lack of integration of social media, and the use of an analogue modem for offering e-Get in touch with companies with restricted information volume. As most operators, have started migrating in direction of broadband IP-based mostly infrastructures, recent emergency systems want also to be upgraded/adapted to fulfil regulatory demands in terms of Up coming Generation emergency solutions. Τhe primary goal of the talk is the layout and implementation of a Up coming Generation platform capable of accommodating wealthy-media emergency calls that combine voice, text, and video, thus constituting a powerful instrument for coordinating communication between citizens, contact centres and 1st responders. In addition, problems such as get in touch with routing/redirection to the closest accessible contact centre, retrieval of the caller area, hoax calls prevention, assistance for folks with disabilities, and integration of social media will be addressed. The speak will deal with remedies that enable customers to make emergency calls across heterogeneous gadgets (e.g. PCs, Tv sets, mobile, AAC and haptic gadgets) making use of a variety of mature technologies, including individuals making use of the Session Initiation Protocol (SIP), the IP Multimedia Subsystem (IMS), and WebRTC framework. Suitable use cases will also showcase how the e-Phone idea can benefit from the IP technologies by making it possible for audio-video calls in the direction of the emergency call centres and complementing area details, with images and video clips. Representation and studying of structured dynamic Bayesian models in non stationary environments Carlo Regazzoni University of Genova Italy Short Bio Carlo S. Regazzoni (Ph.D.) is full professor of Cognitive Telecommunications Methods at DITEN, University of Genova, Italy. His primary analysis interests incorporate (see www.isip40.it) cognitive dynamic systems, adaptive and self-aware video processing, monitoring and recognition, generative models and inference schemes primarily based on hierarchical dynamic Bayesian networks, software and cognitive radio. He has been accountable of several national and EU funded research projects. He is currently coordinator of international PhD programs on Interactive and Cognitive Environments involving a number of European universities. He is writer of peer-reviewed papers on international journals (90) and worldwide conferences/books (350). He served as standard chair (IEEE AVSS2009), technical system chair (IEEE ICIP2005, NSIP2002), associate editor (IEEE Trans on Picture Processing, IEEE Trans on Mobile Computing, et al.), guest editor (Proceedings of the IEEE, IEEE Signal Processing Magazine et al.) in worldwide conferences and Journals. He has served in several roles in governance bodies of IEEE SPS. He is at the moment serving as Vice President Conferences IEEE Signal Processing Society in 2015-2017. Abstract A large part of current analysis in ICT is centred on terms like Web of Things or Massive Information, that are focused on the rewards that interconnected sensible machines and intelligent industrial processes can have in our society. Enabling techniques that are underlying such processes aim towards an elevated capability of adaptive and autonomous automation of bodily and logical “Things”, that has as implication the definition of new computational paradigms and frameworks. A crucial position is right here represented by probabilistic signal processing architectures and tactics for representation and learning. Such strategies have a sufficient maturity to be great candidates for capturing generality, self-awareness, adaptability, flexibility and reconfigurability via encounter based learning that is required to make it attainable “Things” to adapt their behaviors in non stationary environments exactly where they will have to operate. In this speak, Dynamic Bayesian models and associated machine understanding methods will be presented and discussed. It will be proven that this kind of tactics could be used within a Cognitive Dynamic Method framework related with “Ego-Things” i.e. self-aware intelligent objects adaptively carrying out computation driven duties associated with their physical or logical actuation capability in non stationary environments. Applications examples will be presented dealing with crowd surveillance in wise buildings, and, far more in basic, with dynamic functionalities in cognitive environments composed by intelligent ego-objects. Accessible Quickly Jan Camenisch IBM Research – Zurich Switzerland Brief Bio Dr. Jan Camenisch is a Principal Research Staff Member at IBM Research – Zurich and leads the Privacy & Cryptography study team. He&#39s a member of the IBM Academy of Technology and an IEEE Fellow. He is a foremost scientist in the spot of privacy and cryptography, has published more than one hundred widely cited papers, and has obtained a number of awards for his work, which includes the 2010 ACM SIGSAC excellent innovation award and the 2013 IEEE personal computer society technical achievement award. Jan is also a co-inventor of Identity Mixer, a unique cryptographic protocol suite for privacy-preserving authentication and transfer of certified attributes. Jan previously led the FP7 European research consortia PRIME and PrimeLife, and he and his crew continue to participate in several other tasks like ABC4Trust, AU2EU, and Witdom. Jan at the moment holds an Sophisticated ERC grant for &quotPersonal Cryptography&quot. Abstract Available soon. Speeding up the execution of numerical computations and simulations with rCUDA Jose Duato UPV Spain Quick Bio Jose Duato is Professor in the Division of Laptop Engineering (DISCA) at the Technical University of Valencia. His present investigation interests include interconnection networks, on-chip networks, and multicore and multiprocessor architectures. He published above 500 refereed papers. According to Google Scholar, his publications obtained far more than twelve,000 citations. He proposed a theory of deadlock-free of charge adaptive routing that has been utilised in the layout of the routing algorithms for the Cray T3E supercomputer, the on-chip router of the Alpha 21364 microprocessor, and the IBM BlueGene/L supercomputer. He also created RECN, a scalable congestion management technique, and a really productive routing algorithm for unwanted fat trees that has been incorporated into Sun Microsystem&#39s 3456-port InfiniBand Magnum switch. Prof. Duato led the Sophisticated Engineering Group in the HyperTransport Consortium, and was the major contributor to the Higher Node Count HyperTransport Specification 1.. He also led the advancement of rCUDA, which enables remote virtualized access to GP-GPU accelerators employing a CUDA interface. Prof. Duato is the very first author of the guide &quotInterconnection Networks: An Engineering Strategy&quot. He also served as a member of the editorial boards of IEEE Transactions on Parallel and Distributed Systems, IEEE Transactions on Personal computers, and IEEE Computer Architecture Letters. Prof. Duato was awarded with the Nationwide Investigation Prize in 2009 and the “Rey Jaime I” Prize in 2006. Abstract This keynote will current some strategies to speed up the execution of numerical computations and simulations, with unique emphasis on the use of hardware accelerators. The talk will present the architecture of the most well-liked accelerators at present in use, the implications for the programmers, and the primary limitations of the existing industrial implementations. The speak will also describe a recent engineering for virtualizing accelerators that significantly improves the utilization and efficient computing energy of these accelerators whilst lowering electrical power consumption. Last but not least, the measured rewards in some genuine computing installations will be shown. Advances and Potential Problems in Machine Finding out and Understanding Extraction. Andreas Holzinger Health-related University Graz Austria Short Bio Andreas Holzinger is lead of the Holzinger Group HCI–KDD, Institute for Health care Informatics & Statistics  at the Health-related University Graz, and Associate Professor of Applied Pc Science at the Faculty of Computer Science and Biomedical Engineering at Graz University of Technologies. At the moment, Andreas is Visiting Professor for Machine Learning in Health Informatics at the Faculty of Informatics at Vienna University of Technology. He serves as consultant for the Canadian, US, Uk, Swiss, French, Italian and Dutch governments, for the German Excellence Initiative, and as nationwide professional in the European Commission. Andreas obtained a PhD in Cognitive Science from Graz University in 1998 and his Habilitation (second PhD) in Computer Science from Graz University of Technologies in 2003. Andreas was Visiting Professor in Berlin, Innsbruck, London (twice), and Aachen. Andreas and his Group operate on extracting understanding from information and foster a synergistic mixture of methodologies of two places that offer you best conditions in the direction of unraveling troubles with complicated health information: Human-Laptop Interaction (HCI) and Information Discovery/Data Mining (KDD), with the central objective of supporting human intelligence with machine finding out to discover novel, previously unknown insights into data. To stimulate crazy concepts at international level without boundaries, Andreas founded the global Skilled Network HCI–KDD. Andreas is Associate Editor of Information and Information Methods (KAIS), Associate Editor of Springer Brain Informatics (BRIN) and Area Editor of BMC Health-related Informatics and Determination Producing (MIDM). He is member of IFIP WG twelve.9 Computational Intelligence, the ACM, IEEE, GI and the Austrian Personal computer Society. Abstract These days the issue are heterogeneous, probabilistic, higher-dimensional and complex information sets. The challenge is to find out from such information to extract and learn knowledge, and to assist to make choices underneath uncertainty. In automated machine understanding (aML) fantastic advances have been created, for illustration, in speech recognition, recommender techniques, or autonomous vehicles. Automated approaches greatly benefit from &quotbig information&quot with numerous instruction sets. Even so, occasionally we are confronted with a modest volume and complex data sets, in which aML suffers of inadequate instruction samples. The application of such aML approaches in complicated application domains this kind of as overall health informatics appears elusive in the near long term, and a excellent instance are Gaussian processes, where aML (e.g. normal kernel machines) struggle on function extrapolation problems which are trivial for human learners. In this kind of circumstances, interactive Machine Learning (iML) can be advantageous the place a human-in-the-loop assists in solving computationally difficult difficulties, e.g., subspace clustering, protein folding, or k-anonymization of well being information, exactly where the knowledge and experience of human experts can support to reduce an exponential search space by way of heuristic selection of samples. For that reason, what would otherwise be an NP-tough dilemma minimizes significantly in complexity by way of the input and the assistance of a human agent involved in the finding out phase. ML is a rapidly expanding and really practical field with several organization applications and significantly open research issues, specifically in multi-task studying, transfer studying and hybrid multi-agent techniques with humans-in-the-loop. Consequently, profitable ML demands a concerted energy, fostering integrative research amongst authorities ranging from varied disciplines from data science to visualization and tackling complicated problems needs both disciplinary excellence and a cross-disciplinary ability-set and worldwide joint function with out any boundaries. Critical Dates Standard PapersPaper Submission: March 9, 2017Authors Notification: May possibly 3, 2017Camera Ready and Registration: May possibly 17, 2017Position PapersPaper Submission: April 18, 2017Authors Notification: Could 24, 2017Camera Ready and Registration: June six, 2017WorkshopsWorkshop Proposal: April 10, 2017Paper Submission: April 26, 2017Authors Notification: May possibly 15, 2017Camera Ready and Registration: May 29, 2017Doctoral ConsortiumPaper Submission: May possibly thirty, 2017Authors Notification: June 12, 2017Camera Ready and Registration: June 23, 2017Special SessionsSpecial Session Proposal: April 28, 2017Paper Submission: May possibly 15, 2017Authors Notification: May 29, 2017Camera Prepared and Registration: June 6, 2017TutorialsTutorial Proposal: June two, 2017DemosDemo Proposal: June 2, 2017PanelsPanel Proposal: June 2, 2017Open CommunicationsPaper Submission: Could 30, 2017Authors Notification: June twelve, 2017Camera Prepared and Registration: June 23, 2017 NO REFUNDS ON REGISTRATIONS ALLOWEDNO TRANSFER ON REGISTRATIONS Permitted—————————————————————–This Occasion Listing is Promoted byNew York Media Technologies LLC in associationwith INSTICC.http://www.NyEventsList.comhttp://www.BostonEventsList.comhttp://www.SFBayEventsList.com—————————————————————–SHU170213CEV
at Madrid, Spain
Congreso de los Diputados , Calle Cedaceros
Madrid, Spain

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