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Keynote Speakers |
Prof. Angel P. del Pobil
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Director
Robotic Intelligence Laboratory, Jaume I University
Professor
Engineering and Computer Science Deparment
Jaume I University, Spain
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Speech Title: Robots as Cyberphysical Systems: The Challenges Ahead
An intelligent robot is a perfect paradigm of a cyber-physical system (CPS), since its very nature is based on the seamless integration of computational algorithms and physical components, including embedded sensors, processors and actuators in order to sense and interact with the physical world. In my speech I will address some of the challenges for robots considered as CPS, such as adaptability, autonomy, functionality, resiliency, and safety, with emphasis on the physical interaction with the environment. As test cases I will consider robots as personal assistants, along with robots in online shopping warehouses, as an example towards the 4th industrial revolution, the so-called Industry 4.0, with some lessons learned from our recent participation in the Amazon Robotics Challenge 2017 that took place in Nagoya in July 2017. I will also discuss some implications in terms of the interactions of information processing, communication and control of physical processes, with especial emphasis on the difficulties that dealing with open-ended physical entities can bring.
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Angel Pasqual del Pobil is a Professor of Computer Science and Artificial Intelligence at Jaume I University (Spain), where he is the founding director of the UJI Robotic Intelligence Laboratory, and a Visiting Professor at Sungkyungkwan University (Korea). He holds a B.S. in Physics (Electronics, 1986) and a Ph.D. in Engineering (Robotics, 1991), both from the University of Navarra. He has been Co-Chair of two Technical Committees of the IEEE Robotics and Automation Society and is a member of the Governing Board of the Intelligent Autonomous Systems (IAS) Society (2012-present) and EURON (European Robotics Research Network of Excellence, 2001-2009). He has over 250 publications, including four authored and nine edited books, the last three published recently by Springer: Robot Physical Interaction through the combination of Vision, Tactile and Force Feedback (2013), Robust motion detection in real-life scenarios (2012), and The Visual Neuroscience of Robotic Grasping (2015). Prof. del Pobil was co-organizer of some 50 workshops and tutorials at ICRA, IROS, RSS, IJCNN, ROMAN, ICAR and HRI. He has been Program or General Chair of international conferences such as Adaptive Behaviour (SAB 2014), or Artificial Intelligence and Soft Computing. He serves regularly as Associate Editor for ICRA and IROS, and on the program committee of over 150 international conferences, such as IJCAI, ICPR, ACM IMCOM, IAS, SAB, ICDL-EPIROB, ROMAN, etc. He has been involved in intelligent robotics research for the last 30 years. Professor del Pobil has been invited speaker of 63 plenary talks, tutorials and seminars in 15 countries. He serves as associate or guest editor for 12 journals, and has supervised 16 Ph.D. Thesis, including winner and finalists of the Georges Giralt PhD Award and the Robotdalen Scientific Award. He has been Principal Investigator of 30 research projects. Del Pobil is a lifetime member of the Association for the Advancement of Artificial Intelligence (AAAI). His past and present research interests include: humanoid robots, service robotics, internet robots, motion planning, mobile manipulation, visually-guided grasping, robot perception, multimodal sensorimotor transformations, robot physical and human interaction, visual servoing, robot learning, developmental robotics, and the interplay between neurobiology and robotics.
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Prof. James Won-Ki Hong
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Dean
Graduate School for Information Technology, POSTECH, Korea
Professor
Dept. of Computer Science and Engineering
POSTECH, Korea
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Speech Title: Towards Carrier Network Virtualization and Applications
Network Virtualization is the technology to enable the creation and management of logical networks on the top of shared underlying physical network. The network virtualization technology has the potentials to significantly reduce both the capital expenditures (CAPEX) and operating expenses (OPEX) of network by supporting multi-tenancy, flexibility, programmability, scalability, and agility. At the same time, Software Defined Networking (SDN) and Network Function Virtualization (NFV) have achieved remarkable advances by changing the networking paradigm during the last decade. The collaboration of SDN, NFV and network virtualization technologies can brings various potential benefits and opportunities for carrier-grade networks, not only data center networks. However, most of network virtualization solutions are deployed in data center networks for cloud platforms to provide connectivity between virtual machines. The way to achieve network virtualization for carrier-grade networks is still far away in terms of reliability, manageability, resiliency, performance, and security. Moreover, network virtualization of carrier-grade networks can be used to realize service slicing, one of the 5G network visions.
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James Won-Ki Hong is Senior Executive Vice President and CTO of kt Corporation overseeing R&D activities and leading kt Advanced Institute of Technology (AIT). Prior to joining KT, he was a Professor and Head of the Division of IT Convergence Engineering at POSTECH. He received a Ph.D. degree from the University of Waterloo in 1991. His research interests include network management, network monitoring and network analysis, ICT convergence, ubiquitous computing, and smartphonomics. He has served as Chair (2005-2009) of the IEEE Communications Society (IEEE ComSoc), Committee on Network Operations and Management (CNOM). He has also served IEEE ComSoc Director of Online Content (2004-2005, 2010-2011). He is Editor-in-Chief of International Journal on Network Management (IJNM) and of ComSoc Technology News. He is the Chair of Steering Committee of IEEE/IFIP NOMS IM (International Symposium on Integrated Network Management) and Steering Committee member of APNOMS. He was General Chair of APNOMS 2006, and General Co-Chair of APNOMS 2008 and APNOMS 2011. He was General Co-Chair of IEEE/IFIPS NOMS 2010. He is an editorial board member of IEEE TNSM (Transactions on Network and Service Management), JNSM (Journal of Network and Systems Management) and JCN (Journal of Communications and Networks).
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Prof. Feng Xia
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Assistant Dean
School of Software
Dalian University of Technology, China
Head
Department of Cyber Engineering
Dalian University of Technology, China
Professor
Dalian University of Technology, China
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Speech Title: Data Science in Science
As data (especially big data) become the new oil, data science has recently attracted intensive and growing attention from industry, government, and academia. Data science focuses on deriving valuable knowledge from (raw) data in an efficient and intelligent manner, with the purpose of prediction, exploration, understanding, and/or intervention. It encompasses the set of methods and tools that enable data-driven activities in business, government, and scientific research. In particular, data science is playing an increasingly important role in scientific research. One evidence is the so-called fourth paradigm of science, which features data-intensive scientific discovery. Another is the emergence of scholarly big data. Recent years have witnessed the exponential growth of scholarly data in all scientific disciplines. The rapid rise of big scholarly data brings about new issues and challenges with respect to e.g. information retrieval, data management and analysis. Data science in science that exploits scholarly big data enables us to better understand the nature of science, giving rise to a lot of potentials on addressing the challenges. This talk will look into recent advances in this field, and discuss relevant opportunities and challenges.
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Feng Xia is currently a Professor in School of Software, Dalian University of Technology, China.
He is founding Director of The Alpha Lab (http://thealphalab.org/),
Head of Department of Cyber Engineering, and Assistant Dean of School of Software. He is/was on the Editorial Boards of over 10 int'l journals.
He has served as the General Chair, PC Chair, Workshop Chair, or Publicity Chair of over 30 int'l conferences, and PC Member of over 50 conferences.
He is also the Guest Editor of over 10 journal special issues. Dr. Xia has authored/co-authored two books (research monographs published by Springer),
over 240 scientific papers in int'l journals and conferences (such as IEEE TC, TMC, TBD, TCSS, TPDS, TETC, THMS, TVT, TII, TIE, IEEE/ACM TON, ACM TOMM,
WWW, JCDL, MobiCom, and INFOCOM) and 3 book chapters, and has edited 3 int'l conference proceedings and 5 books (in Chinese). His name has been
included on Elsevier's Most Cited Chinese Researchers for three consecutive years (2014-2016). Dr. Xia received a number of awards, including e.g.
WWW 2017 Best Demo Award and IEEE UIC 2013 Best Paper Award. He is a Senior Member of IEEE and ACM, and a Member of AAAS.
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Prof. Shahrul Azman Mohd Noah
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Professor
Universiti Kebangsaan Malaysia, Malaysia
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Speech Title: Ontology and What It Has to Do with Information Retrieval
The discipline of philosophy define ontology as the science of 'what is', the kinds of
structures of objects, properties, events, processes and relations in every area of reality. From
the perspective of computing, an ontology is an engineering artefact which is constituted by a
specific vocabulary used to describe a certain reality, plus a set of explicit assumptions
regarding the intended meaning of the vocabulary. Thus, an ontology describes a formal
specification of a certain domain, which is a formally shared understanding of a domain of
interest that are machine manipulable. Ontologies have been applied in many knowledge-
based applications such as decision support systems, expert systems and question-answering
systems. Information retrieval (IR) is finding material (usually documents) of an unstructured
nature (usually text) that satisfies an information need from within large collections (usually
stored on computers). In contrast to ontology-based systems, IR systems rely on the bag-of-
word representation approach to retrieve documents. As such, the contextual and semantic
meaning of terms as they appear in the documents are lost. Various efforts have been put
forward in order to improve the retrieval performance of existing IR systems, such as:
feature-based models, term dependence models and entity-based models. In this talk, we
describe the use of ontology to enhance the retrieval performance of IR systems. We will first
review various applications of ontology to support or enhance semantic IR. We will then
show some of the research that we have or currently embarked on ontology-based
information retrieval, namely: semantic digital library; crime news retrieval and multimodal
ontology retrieval. We then conclude the talk with challenges and future research work in the
area.
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Shahrul Azman Mohd Noah received the BSc with honors in Mathematics from the
Universiti Kebangsaan Malaysia in 1992, MSc and PhD degrees in Information Studies from
the University of Sheffield, UK, in 1994 and 1998, respectively. He is a professor in the
Center for Artificial Intelligence Technology, Universiti Kebangsaan Malaysia and currently
heads the Knowledge Technology research group. His research interests include information
retrieval and ontology with special emphasis on semantic searching and recommender
systems. He has published more than 200 research articles in these areas. Prof. Shahrul
Azman was a research fellow at the Institute for Pure and Applied Mathematics (IPAM),
UCLA. He also serves as technical expert assessor for various research grants such as the
Multimedia Development Corporation (MDeC) IGS, MSC Multimedia Super Corridor R&D
(MGS) and MOSTI Technofund grant schemes. Prof. Shahrul Azman is currently the
president of the Persatuan Capaian Maklumat dan Pengurusan Pengetahuan (PECAMP), and
members of the International Association for Ontology and its Applications (IAOA) and
IEEE Computer Science Society associations.
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Prof. Hiroyuki Kitagawa
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Former President
Database Society of Japan
Professor
Center for Computational Sciences
University of Tsukuba, Japan
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Real World Big Data Integration and Analysis: Research Issues and Challenges
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Big data technologies have been bringing a huge impact on every aspect of human activities and human society and transforming the world. They are serving as a major driving force which will lead us to the next generation society and industry. In recent several years, many research and development projects have been launched to advance big data technologies and apply them to real societies around the globe. In Japan, the Ministry of Education, Science, Culture, Sports, Science and Technology (MEXT) started "Research and Development on Real World Big Data Integration and Analysis" two years ago, and we, a research team formed by researches from four major Japanese universities, are collaborating and actively working towards its goals. This talk will give an overview of the project including its objectives and goals, main research activities, and the research outcomes obtained in the past two years. Big Data is often characterized by several V's such as Volume, Variety, Velocity, Veracity and Value. This talk will especially highlight our research efforts to address Variety and Velocity issues, since utilization and integration of real-time social streaming data is one of key research issues in the project. I will elaborate on them such as our event-oriented stream processing system, stream OLAP analytics, unified big data processing framework integrating streaming and batch processing, and meta data inference techniques for big streaming data integration.
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Prof. Jin Woo Kim
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Professor
School of Business
Yonsei University, Korea
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Digital Companions: A combination of HCI and AI for Life-Companionship
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In the past, we had been surrounded by many human companions who share activities with us, who involve social relations with others, and who knows us well. Companions include but not limited to husband and wife, sisters and brothers, and good old friends. However, these human companions have become less available recently due to numerous cultural and economic reasons. The lack of life companions leads to serious social problems, such as depression and suicide. In order to cover up the lack of human companions, Digital Companions have been suggested such as Pepper and Jibo. In this talk, I would like to present a conceptual model of digital companion that includes pre-requisites and core components of ideal companions. The conceptual model is composed of seven core technologies, which combine HCI and AI. This talk will explain the seven technologies and present video clips from SF movies that clearly exhibit future direction of digital life companion.
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Prof. Dong-Hee Shin
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Distinguished Scholar
Ministry of Education (National Research Foundation), Korea
Professor
School of Media and Communication
Chung-Ang University, Seoul, Korea
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A User-based Model of Quality of Experience for the Internet of Things
The exponential growth of services via the Internet of Things (IoT) is making it increasingly important to cater to the quality expectations of end users. Quality of experience (QoE) can become the guiding paradigm for managing quality provisioning and application design in the IoT. This study examines the relationship between consumer experience and quality perception of IoT and develops a conceptual model for QoE in personal informatics. Using an ethnographic observation, it first characterizes quality of service (QoS) and subjective evaluation to compare QoS with QoE. It then performs a user survey to identify user behavior factors in personal informatics. It finally proposes a user experience model, conceptualizing QoE specific to personal informatics and highlighting its relationships with other factors. The model establishes a foundation for IoT service categories through a heuristic quality assessment tool from a user-centered perspective. The results overall provide the groundwork for developing future IoT services with QoE requirements, as well as for dimensioning the underlying network provisioning infrastructures, particularly with regard to wearable technologies.
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Prof. Jim Jansen
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Professor
College of Information Sciences and Technology
Director
Information Searching and Learning Laboratory
The Pennsylvania State University, USA
Principal Scientist
Qatar Computing Research Institute, Qatar
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Prof. Hongbin Zha
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Professor
Department of Machine Intelligence
Director
Key Lab of Machine Perception (MOE)
Peking University, China
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The Transformed Role of the Viewer: Second Screens and the Social Soundtrack
The nearly ubiquitous use of mobile devices integrated with easy interface with social media platforms facilitates a unique social interaction about broadcast media and
other events that alters the role of the viewer from a passive to an active function, with the visitor engaged in information sharing, consumption, and dissemination often in real
time. This technology affordance for online conversation about an event is referred to as the second screen phenomenon, although there may be multiple (i.e., more than two)
screens involved. The resulting online conversation from second screen interaction about an event is referred to as the social soundtrack. The social soundtrack is an interesting
conversational form of information sharing, information interaction, and information diffusion. This keynote will introduce the theoretical constructs and empirical measures
of social soundtrack and second screen research, along with application of these constructs and measures in current investigations involving millions of posts on multiple
social media platforms. Research concerning social soundtrack and secondary screens is important in identifying the influence and affordances that technology has on social
media conversations from an information sharing. Research findings can also shed light on social communication in relationship to the cultural impact of broadcast media events,
the social interaction in cross technology usage for second screens, and the effect of second screen technologies on pop culture and human information processing.
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3D Reconstruction for Object Modeling and Scene Analysis
3D reconstruction is an important field in computer vision, and results accumulated in the field have found wide applications in virtual reality, creative media design,
and robotics. But nevertheless, we still face great challenges when we try to use the techniques in modeling both objects with complex structures or large-scale scenes.
The major difficulties come from several constraints in traditional approaches, including ambiguity and uncertainty inherent in the reconstruction algorithms, limitation on viewpoint movements,
occlusion of objects, and low-resolutions of available 3D data. In the talk, I will introduce some newly developed methods aiming to solve the problems by making good use of imaging geometry principles
and fusion of data from different sensors. Main topics include: reconstruction from silhouettes from a camera system with two planar mirrors; depth image super-resolution based on similarity-aware patchwork assembly;
urban scene description by analysis of 3D data collected from car-mounted sensors. I also will report results from an application of such 3D digitization techniques in heritage documentation,
mainly for grotto objects and scenes.
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Dr. Jihie Kim
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Vice President
Software R&D Center
Samsung Electronics, Korea
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Prof. Mary Beth Rosson
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Professor and Interim Dean
College of Information Sciences and Technology
Pennsylvania State University, USA
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Intelligence in Education
Social software such as online forums, Wikis, and social networking sites, plays an important role
in various fields, including science, politics, and education. Our goal is to analyze social activities
within online communication and collaboration environments, and develop computational tools that
support and promote effective interactions and participation.
This talk present our work on online discussion modeling and intelligent tools for assisting discussion
participants. We first analyze how messages and individual discussants contribute to Q&A discussions.
We present a model for capturing information seeking or information providing roles of messages,
such as question, answer or acknowledgement. We also identify user intent in the discussion as an
information seeker or a provider. We show how the role information can be combined with linguistic
and temporal features for developing a predictive model of discussant performance. We also demonstrate how
such role information can be used for promoting interactions among potential peer collaborators.
In the latter part of the presentation, we show how such analyses can be a powerful tool for dialogue mediators
and participants. In particular, we present a computational workflow (big data) framework that enables efficient
and robust integration and analyses of diverse datasets. The analysis results are used for assisting discussion
mediators or facilitating just-in-time adaptation to discussants' needs, such as identifying unresolved issues
or help seekers who need more assistance.
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The iSchool Vision for Interdisciplinary University Research and Education
The emergence of iSchools has been much discussed, with respect to an interdisciplinary vision for both research and education of undergraduate and graduate students.
The Pennsylvania State University was one the first iSchools, launched in 1998 to meet the needs for workforce development of students who have the skills of information technology
but also to research topics in real world interdisciplinary computing. In this talk, I will give a brief history of how and why this new realm of academic pursuits has emerged,
illustrated throughout with examples drawn from education and research activities at Penn State and other iSchools. Reflecting on the past 15 years, I will also point to a set of continuing challenges
and opportunities for interdisciplinary study that is founded on the integration of the information sciences, an increasingly ubiquitous technological substrate, and the broad and ambiguous implications of human individuals
and organizations situated in real world activities.
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Prof. Ben Lee
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Professor
School of Electrical Engineering and Computer Science
Oregon State University, USA
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Prof. Hamid R. Arabnia
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Professor
Department of Computer Science
University of Georgia, USA
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Wireless HD Video Transmission Technology: Challenges and Future Applications
Wireless High Definition Video Transmission (WHDVT) over 802.11-based networks is an important enabling technology for home networks, viewing videos on the move,
and N-screen environments. However, significant challenges exist in delivering smooth playback of HD content as WHDVT becomes more pervasive and multiple streams
will need to be supported on the same network. These include lossy and delay prone nature of wireless media, unequal importance of video packets, and user mobility.
This talk first introduces the basic concepts of WHDVT, which include characteristics of 802.11 networks, H.264 video compression, and video streaming protocols.
Then, several solutions at the various layers will be presented, which include application, RTP/UDP and RTP/TCP, MAC, and physical layers.
Finally, the talk will conclude with open research issues and future directions.
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Bio-Inspired Supercomputing and Big Data
In order to convert data to knowledge, it is necessary to search (+process) data sets that are on the order of zettabytes in size (Big Data).
Conventional computers (uniprocessor systems) are unable to process Big Data in a timely manner. Inherent limitations on the computational
power of sequential uniprocessor systems have lead to the development of parallel multiprocessor systems. The two major issues in the formulation and
design of parallel multiprocessor systems are algorithm design and architecture design. The parallel multiprocessor systems should be so designed
so as to facilitate the design and implementation of the efficient parallel algorithms that exploit optimally the capabilities of the system.
From an architectural point of view, the system should have low hardware complexity, be capable of being built of components that can be easily replicated,
should exhibit desirable cost-performance characteristics, be cost effective and exhibit good scalability in terms of hardware complexity and cost with increasing problem size.
In distributed memory multiprocessor systems, the processing elements can be considered to be nodes that are connected together via an interconnection network...
The design presented in this talk is bio-inspired.
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Prof. Hitoshi Aida
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Professor
Department of Electrical Engineering and
Information Systems, School of Engineering
The University of Tokyo, Japan
Chairman
Committee for Information, Computer
and Communications Policy in
Organisation for Economic Co-operation
and Development (OECD)
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Prof. Tei-Wei Kuo
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Distinguished Professor
Department of Computer Science
and Information Engineering
National Taiwan University, Taiwan
Executive Director
Intelligent and Ubiquitous Computing
Thematic Center of the Research Center
of the IT Innovation, Academia Sinica, Taiwan
Board Director
Genesys Logic, Taiwan
Chairman
Embedded Systems Group of the National
Networked Communication Program Office
Taiwan
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Renewable Energy Powered, Disaster-Resilient Wireless Network Infrastructure
Because of rapid increase of smart phones, mobile phone operators are desperately trying to offload mobile phone traffic to femto cells,
WiFi hotspots or WiMAX coverage. On the other hand in Japan, because many base stations stopped operation due to long commercial power failure
or broken fiber trunk after Great East Japan Earthquake, people began thinking resilience of network infrastructure seriously.
Attaching large batteries or powering mobile phone base station by renewable energy, however, is not usually practical because of the size
and weight of the equipments. In this talk, we investigate about the feasibility of WiFi-based wireless network infrastructure powered by renewable energy,
which is connected by fiber trunk and is used to offload mobile phone traffic in ordinary times and act as a wireless-relayed mesh network after disaster.
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The Positioning of Non-Volatile Memory in Embedded System Designs
In recent years, non-volatile memory has shown its great potentials in serving as a layer in the memory hierarchy, such as flash memory
for the secondary storage of mobile devices. Their inherent characteristics also point out new directions in system designs and grand challenges.
In this talk, we will first have a brief introduction to the non-volatile memory, especially flash memory and phase change memory.
We will then present challenges and solutions for flash memory as a storage medium. The talk is concluded by key challenges for system designs
of phase change memory.
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Prof. Sajal K. Das
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University Distinguished Scholar Professor
Department of Computer Science and Engineering
Director
Center for Research in Wireless
Mobility and Networking (CReWMaN)
The University of Texas at Arlington, USA
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Prof. Abdullah Mohd Zin
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Professor
Faculty of Information Science and Technology
Universiti Kebangsaan Malaysia
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Cyber-Physical and Networked Sensor Systems: Challenges and Opportunities
Rapid advancements in embedded systems, sensors and wireless communication technologies have led to the development of cyber-physical systems,
pervasive computing and smart environments with important applications such as smart grids, sustainability, health care and security.
Wireless sensor networks play significant role in building such systems as they can effectively act as the human-physical interface with the digital world through sensing,
communication, computing and control or actuation. However,the inherent characteristics of wireless sensor networks, typified by resource constraints,
high degree of uncertainty, heterogeneity and distributed control pose significant challenges in ubiquitous information management. After introducing the basic challenges,
opportunities and applications, this talk will present a novel framework for multi-modal context recognition from sensor streaming data, context-aware data fusion,
and situation-aware decision making with a trade-off between information accuracy (inference quality) and energy consumption. The underlying approach is
based on dynamic Bayesian and probabilistic models, machine learning, information theoretic reasoning, and game theory. The talk will be concluded with
open research issues and future directions.
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Beyond Ubiquitos Computing: The HoneyBee Ensemble Computing Environment
Since the 1980s, computing environment has moved from a centralized environment into a distributed computing environment.
The distributed computing environment has also moves from one phase to another. In the 1980s, this distributed environment was provided in the form of
a client-server computing, followed by the Internet computing in the 1990s. The wide availability of mobile devices together with wireless network
has changed the computing environment into mobile computing and later into pervasive or ubiquitos computing environment. In 2008, European Union Interlink WG1 task group
has proposed that the next wave of computing environment should be the ensemble computing in order to answer four major research challenges
in the current computing environment. These challenges are (i) massive number of nodes in a system, (ii) open environment, (iii) non-deterministic environment,
and (iv) adaptation. In an ensemble computing environment, computing devices can communicate and work together to complete a certain task based on peer-to-peer protocol
and supporting services. The advantages of this environment can be summarized as follows: ad hoc interaction, fluidity, transience and scalability.
There are two models of ensemble computing: a swarm of bats or a bee-hive. In this paper we will describe our proposed model of an ensemble environment
known as the HoneyBee environment. The discussion in this paper is be divided into four main issues. The first issue is about the ensemble computing in general
followed by a discussion on the formal model of HoneyBee environment. Some possible applications (two issues) within the HoneyBee environment will be described next.
The fourth issue is concerning Agent Oriented Programming, which is considered to be the most suitable software development approach for this type of computing environment.
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Prof. S. Shyam Sundar
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Distinguished Professor of Communications
Co-Director
Media Effects Research Lab
The Pennsylvania State University, USA
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Prof. Ding-Zhu Du
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Professor
Department of Computer Science
University of Texas at Dallas, USA
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Living Interactively and Socializing Ubiquitously
This keynote talk will address the psychology of living in a ubiquitous computing environment, by focusing on how new technological affordances
enable individuals to express agency and build community in an ongoing manner. The recent proliferation of location-based information tools and the popularity
of communication technologies that encourage social interaction have contributed to a computationally intensive environment, with users constantly managing information
for themselves as well as sharing information with others at unprecedented levels. We constantly straddle real and virtual worlds without making the distinction
between the real and the virtual. We have come to expect high-fidelity, context-aware systems that serve to blur the boundary between the two.
As a result, rules of interaction management are undergoing dramatic changes, with consequences for design of future systems and interfaces.
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Next Generation Network, Wireless Network and Topology Control with Small Routing Cost
One of important components in the potential next generation network is the wireless network. Topology control is one vital factor to
a wireless network efficiency. Since wireless network has no physical infrastructure, it may lead to a severe problem, known as broadcast storm problem
caused by flooding inherent in on-demand routing schemes. Inspired by physical backbone in classical wired networks, the virtual backbone has been proposed
and studied extensively in the literature for wireless networks to reduce the damage caused by flooding and to maximize resource utilization.
However, when we employ the virtual backbone, two problems may be introduced. The first one is the increasing of routing cost. The second one is that the road
load on some links may increase, which may cause traffic jam. How do we solve those problems. In this talk, we will introduce recent research work on their solutions.
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