Special Session
Special Session I: Automated Driving and Connected Car
08:20-10:00, October 19 (Wednesday), 2016
| Time | Title | Invited Speakers |
|---|---|---|
| 08:20-10:00 | Autonomous Traffic Management: the Future of Transportation Systems unleashed by Automated Driving and Connected Cars |
Dr. Tsz-Chiu Au, Assistant Professor, UNIST |
| Cooperative Autonomous Driving | Dr. Seong-Woo Kim, Research Assistant Professor, Seoul National University |
|
| Evolution of Mobile Communications for Connected Car | Dr. Hanbyul Seo, Chief research engineer, Advanced Standardization Lab., LG Electronics |
Invited Talk 1: ”Autonomous Traffic Management: the Future of Transportation Systems unleashed by Automated Driving and Connected Cars”
Dr. Tsz-Chiu Au, Assistant Professor, UNIST
Abstract:
Recent robot car competitions and demonstrations have convincingly shown that fully autonomous vehicles are feasible with current or near future intelligent vehicle technology. This milestone offers us an opportunity to reconsider modern transportation infrastructure, investigating more efficient systems that leverage a mostly autonomous vehicle population. Previous research on autonomous intersection management establishes that by leveraging the capacities of connected cars in the manner of cooperative autonomous driving, it is possible to dramatically reduce the time wasted in traffic, and therefore also fuel consumption and air pollution. In this talk, I will present an analysis of the relationship between the precision of cars' motion controllers and the efficiency of intersection controllers. I will also introduce a planning-based motion controller that can increase the efficiency of the autonomous intersection control mechanism by reducing the chance that autonomous vehicles stop before intersections. Finally, I will describe a theoretical study of liveness properties in simplified transportation systems, and present the conditions under which no vehicle gets stuck in traffic forever.
Biography:
Recent robot car competitions and demonstrations have convincingly shown that fully autonomous vehicles are feasible with current or near future intelligent vehicle technology. This milestone offers us an opportunity to reconsider modern transportation infrastructure, investigating more efficient systems that leverage a mostly autonomous vehicle population. Previous research on autonomous intersection management establishes that by leveraging the capacities of connected cars in the manner of cooperative autonomous driving, it is possible to dramatically reduce the time wasted in traffic, and therefore also fuel consumption and air pollution. In this talk, I will present an analysis of the relationship between the precision of cars' motion controllers and the efficiency of intersection controllers. I will also introduce a planning-based motion controller that can increase the efficiency of the autonomous intersection control mechanism by reducing the chance that autonomous vehicles stop before intersections. Finally, I will describe a theoretical study of liveness properties in simplified transportation systems, and present the conditions under which no vehicle gets stuck in traffic forever.
Biography:
 |
Tsz-Chiu Au is an assistant professor at Ulsan National Institute of Science and Technology in South Korea. In the past decade, he worked on several topics in Artificial Intelligence, including multi-agent systems, intelligent transportation systems, evolution of cooperation, and automated planning. Some of his research accomplishments include an effective strategy for coping with noise in Iterated Prisoner's Dilemma, an important problem in the study of the evolution of cooperation. Since he joined The University of Texas at Austin as a postdoctoral fellow he has been working on new traffic management systems for autonomous vehicles. He received his Ph.D. degree in Computer Science at the University of Maryland, College Park in 2008. |
Invited Talk 2: ”Cooperative Autonomous Driving”
Dr. Seong-Woo Kim, Research Assistant Professor, Seoul National University
Abstract:
In this talk, the concept of cooperative autonomous driving using mirror neuron inspired intention awareness and cooperative perception is presented, whose primary benefit is to enable cooperative autonomous driving in a more general approach rather than complicated rule-based approaches. The cooperative perception can provide information on the upcoming traffic situations ahead, even beyond line-of-sight and field-of-view. From a control perspective, a spatial map for navigation planning is extended up to the boundary of connected vehicles in a see-through manner. By leveraging this augmented perception capability, a better driving decision can be accomplished in terms of traffic flow efficiency and safety improvement. This talk shares the feasibility of our proposals through simulations and experiments on the road with a cooperative lane changing scenario.
Biography:
In this talk, the concept of cooperative autonomous driving using mirror neuron inspired intention awareness and cooperative perception is presented, whose primary benefit is to enable cooperative autonomous driving in a more general approach rather than complicated rule-based approaches. The cooperative perception can provide information on the upcoming traffic situations ahead, even beyond line-of-sight and field-of-view. From a control perspective, a spatial map for navigation planning is extended up to the boundary of connected vehicles in a see-through manner. By leveraging this augmented perception capability, a better driving decision can be accomplished in terms of traffic flow efficiency and safety improvement. This talk shares the feasibility of our proposals through simulations and experiments on the road with a cooperative lane changing scenario.
Biography:
 |
Seong-Woo Kim received the B.S. and M.S. degrees in electronics engineering from Korea University, Seoul, Korea, in 2005 and 2007, respectively, and the Ph.D. degree in electrical engineering and computer science from Seoul National University in 2011. He was a postdoctoral associate with the Singapore-MIT Alliance for Research and Technology. In 2014, he joined the Seoul National University, where he is currently a Research Assistant Professor. He serves as a guest editor of the special issue on Applications and Systems for Collaborative Driving in IEEE Transactions on Intelligent Transportation Systems. Dr. Kim received the Best Student Paper Award at the 11th IEEE International Symposium on Consumer Electronics and the Outstanding Student Paper Award at the First IEEE International Conference on Wireless Communication, Vehicular Technology, Information Theory, and Aerospace and Electronic Systems Technology and the Best Paper Award Finalist at the 3rd International Conference on Connected Vehicles & Expo. |
Invited Talk 3: ”Evolution of Mobile Communications for Connected Car”
Dr. Hanbyul Seo, Chief research engineer, Advanced Standardization Lab., LG Electronics
Abstract:
The concept of “connected car” has emerged recently, and the ability to provide a new dimension of experiences for drivers via mobile communications is considered as one of the most distinctive designs of next generation vehicles. Under this concept, vehicles are wirelessly connected with other vehicles, pedestrians, and network infrastructure via vehicle-to-everything (V2X) services for aiding in road safety, controlling traffic flow, delivering infotainment contents, and so on. Also, the communication ability is now considered as one of the essential technical components for automated driving because it can provide a means to detect other vehicles/pedestrians beyond the coverage of the onboard sensors and even enables more advanced driving such as cooperative maneuver and remote driving. This talk will introduce the recent trend in mobile communications to realize the concept of connected car. The latest status of V2X standardization in 3GPP and its evolution in 5G will be covered in this talk.
Biography:
The concept of “connected car” has emerged recently, and the ability to provide a new dimension of experiences for drivers via mobile communications is considered as one of the most distinctive designs of next generation vehicles. Under this concept, vehicles are wirelessly connected with other vehicles, pedestrians, and network infrastructure via vehicle-to-everything (V2X) services for aiding in road safety, controlling traffic flow, delivering infotainment contents, and so on. Also, the communication ability is now considered as one of the essential technical components for automated driving because it can provide a means to detect other vehicles/pedestrians beyond the coverage of the onboard sensors and even enables more advanced driving such as cooperative maneuver and remote driving. This talk will introduce the recent trend in mobile communications to realize the concept of connected car. The latest status of V2X standardization in 3GPP and its evolution in 5G will be covered in this talk.
Biography:
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Hanbyul Seo received his Ph.D. degree in electrical engineering from Seoul National University, Korea, in 2008. He joined LG Electronics in 2008 and has been working on 3GPP LTE standardization including the areas of wireless relay, CoMP, HetNet, and D2D. He is currently Rapporteur of 3GPP V2X standard items in TSG RAN and also engaged in research of enhanced V2X. |
Special Session II: Systems & Applications
16:00-17:40, October 19 (Wednesday), 2016
| Session | Title | Invited Speakers |
|---|---|---|
| 16:00-17:40 | You Deserve Better Properties (From Your Smart Devices) |
Dr. Steven Y. Ko, Assistant Professor, University at Buffalo |
| A Single-Smartphone Platform for Ubiquitous Near-Surface 3D Input Space on Everyday Surfaces |
Dr. Inseok Hwang, Research Staff, IBM Research-Austin, USA |
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| "Don't Bother Me. I'm Socializing!": Breakpoint-Based Smartphone Notification System | Dr. Sung-Ju Lee, Associate Professor, KAIST |
Invited Talk 4: ”You Deserve Better Properties (From Your Smart Devices)”
Dr. Steven Y. Ko, Assistant Professor, University at Buffalo
Abstract:
Today's smart devices run mobile OSes that provide same properties inherited from traditional OSes. However, as our lives experience tighter integration with these devices, the need for better properties arises. Among many possible properties we want, this talk highlights three that deserve more attention. The first is transparency; it is the ability for a smart device to tell its users why it's doing what it's doing. The second is predictable performance; it is the ability for a smart device to provide consistent, predictable performance for important applications no matter what the system load is. The third is openness; it is the ability for a third-party developer to easily deploy new functionality on an existing mobile platform. I will describe in more detail what these properties are and why we need them, as well as my research group's efforts to make progress on these fronts.
Biography:
Today's smart devices run mobile OSes that provide same properties inherited from traditional OSes. However, as our lives experience tighter integration with these devices, the need for better properties arises. Among many possible properties we want, this talk highlights three that deserve more attention. The first is transparency; it is the ability for a smart device to tell its users why it's doing what it's doing. The second is predictable performance; it is the ability for a smart device to provide consistent, predictable performance for important applications no matter what the system load is. The third is openness; it is the ability for a third-party developer to easily deploy new functionality on an existing mobile platform. I will describe in more detail what these properties are and why we need them, as well as my research group's efforts to make progress on these fronts.
Biography:
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Steve Ko is an assistant professor in the Department of Computer Science and Engineering at the University at Buffalo, The State University of New York. He is generally interested in systems, and his current research focus is on mobile systems. Before joining UB, he graduated with PhD from UIUC and was a postdoc at Princeton. He received the NSF CAREER Award in 2014, the UB Young Investigator Award in 2014, the UB Engineering Teacher of the Year Award in 2015, and the UB Teaching Innovation Award in 2016. |
Invited Talk 5: ”A Single-Smartphone Platform for Ubiquitous Near-Surface 3D Input Space on Everyday Surfaces”
Dr. Inseok Hwang, Research Staff, IBM Research-Austin, USA
Abstract:
We are witnessing the rapid immersion of computing interfaces into our everyday living space. Imagine that you can create an interaction space on existing large surfaces using no special hardware but only your smartphone; you can turn a flat object around you into a smart input area simply by placing your phone aside. In this light, we present SymmetriSense, a mobile platform enabling near-surface 3-dimensional fingertip localization above arbitrary glossy surfaces using a single commodity smartphone. Glossy surfaces are very common in today's environments, such as mirrors, granite countertops, televisions, white board, office window, etc. SymmetriSense addresses the precise 3-D localization challenges in using a single vision by a novel technique utilizing the principle of reflection symmetry and the fingertip's natural reflection casted upon glossy surfaces. In this talk, I will discuss the localization challenges and our techniques, as well as the real-time implementation issues with the limited computing resources of a smartphone in terms of latency and accuracy.
Biography:
We are witnessing the rapid immersion of computing interfaces into our everyday living space. Imagine that you can create an interaction space on existing large surfaces using no special hardware but only your smartphone; you can turn a flat object around you into a smart input area simply by placing your phone aside. In this light, we present SymmetriSense, a mobile platform enabling near-surface 3-dimensional fingertip localization above arbitrary glossy surfaces using a single commodity smartphone. Glossy surfaces are very common in today's environments, such as mirrors, granite countertops, televisions, white board, office window, etc. SymmetriSense addresses the precise 3-D localization challenges in using a single vision by a novel technique utilizing the principle of reflection symmetry and the fingertip's natural reflection casted upon glossy surfaces. In this talk, I will discuss the localization challenges and our techniques, as well as the real-time implementation issues with the limited computing resources of a smartphone in terms of latency and accuracy.
Biography:
 |
Inseok Hwang is currently a research staff member in the Cognitive Computing Solutions group at IBM Research - Austin. His current research focus is on intelligent models and applications delivering cognitive computing experiences through everyday sensory computing platforms including today's prevailing mobile devices and upcoming robotic platforms in near future. Broadly, his research interests lie in the intersection of mobile computing, human-computer interaction, sensing and intelligence. Before joining IBM Research, he received his Ph.D. in Computer Science from KAIST |
Invited Talk 6: ”"Don't Bother Me. I'm Socializing!'': Breakpoint-Based Smartphone Notification System”
Dr. Sung-Ju Lee, Associate Professor, KAIST
Abstract:
Smartphone notifications provide application-specific information in real-time, but could distract users from in-person social interactions when delivered at inopportune moments. We explore breakpoint-based notification management, in which the smartphone defers notifications until an opportune moment. With a video survey where participants (n=73) selected appropriate moments for notifications from a video-recorded social interaction, we identify four breakpoint types: long silence, a user leaving the table, others using smartphones, and a user left alone. We introduce a Social Context-Aware smartphone Notification system, SCAN, that detects social context and identifies breakpoints to defer smartphone notifications until a breakpoint. We conducted a controlled study with 10 friend groups (n=30) who had SCAN installed on their smartphones while dining at a restaurant. Results show that SCAN accurately detects breakpoints (precision=92.0%, recall=82.5%), and reduces notification interruptions by 54.1%. Most participants reported that SCAN helped them to focus better on in-person social interaction and found selected breakpoints appropriate.
Biography:
Smartphone notifications provide application-specific information in real-time, but could distract users from in-person social interactions when delivered at inopportune moments. We explore breakpoint-based notification management, in which the smartphone defers notifications until an opportune moment. With a video survey where participants (n=73) selected appropriate moments for notifications from a video-recorded social interaction, we identify four breakpoint types: long silence, a user leaving the table, others using smartphones, and a user left alone. We introduce a Social Context-Aware smartphone Notification system, SCAN, that detects social context and identifies breakpoints to defer smartphone notifications until a breakpoint. We conducted a controlled study with 10 friend groups (n=30) who had SCAN installed on their smartphones while dining at a restaurant. Results show that SCAN accurately detects breakpoints (precision=92.0%, recall=82.5%), and reduces notification interruptions by 54.1%. Most participants reported that SCAN helped them to focus better on in-person social interaction and found selected breakpoints appropriate.
Biography:
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Sung-Ju Lee received his PhD in Computer Science from University of California, Los Angeles (UCLA) in 2000. He spent 12.5 years at Hewlett-Packard Company as a Principal Research Scientist and Distinguished Mobility Architect. He was then a Principal Member of Technical Staff at the CTO Office of Narus, Inc (now part of Symantec). In 2015, he joined the faculty of the School of Computing at KAIST. Dr. Lee has published over 100 technical papers in peer-reviewed journals and conferences. His papers are well-cited, with his publications receiving a total of over 11,000 citations according to Google Scholar and his h-index is 43. In addition, he has 41 granted US patents. He won the HP CEO Innovation Award in 2010 and the best paper award at IEEE ICDCS 2015. He was the General Chair of ACM MobiCom 2014 and co-TPC Chair of IEEE INFOCOM 2016. He is an IEEE Fellow and an ACM Distinguished Scientist. |
Special Session III: 5G Trial Services
08:20-10:00, October 20 (Thursday), 2016
| Time | Title | Invited Speakers |
|---|---|---|
| 08:20-10:00 | Vehicle & ICT (V-ICT) Convergence for Automated Driving & Highway Systems | Dr. Young-Jun Moon, Chief Director, National Transport Technology R&D Center |
| Paving the Road to 5G | Mr. Jongsik Lee, Vice President, KT | |
| 5G Opening New Opportunities | Dr. Youngjoon Kim, Senior Vice-President, Ericsson-LG |
Invited Talk 7: “Vehicle & ICT (V-ICT) Convergence for Automated Driving & Highway Systems”
Dr. Young-Jun Moon, Chief Director, National Transport Technology R&D Center
Abstract:
The presentation demonstrates inter-disciplinary plan for automated driving and highway issues in Korea recently based on a strategic innovation strategy by 3 government ministries, i.e. Ministry of Science, ICT and Future Plan (MSIP), Ministry of Trade, Industry and Energy (MOTIE), and Ministry of Land, Infrastructure and Transport (MOLIT). This tri-lateral government plan leverages the emerging transportation technologies that converge with vehicles, information communication technology (ICT), and mobile to be vehicle-ICT (V-ICT) integration. This approach is called “Road Vehicle Automation”, “Mobility on Demand” and “Sustainable Transport”, and other terms in the transportation industry, which is to be affordable, accessible, environmental friendly, and safe. In addition to the examination of converging intelligent transport services, the transportation sector in the world is actively pursuing the strategy of avoiding the need for travel, shifting to sustainable modes such as electric vehicles, and improving efficiency of all roadway transport modes. This strategy provides critical benefits to consumers in enhance lower congestion, emissions, air pollution, road accidents, etc.
Biography:
The presentation demonstrates inter-disciplinary plan for automated driving and highway issues in Korea recently based on a strategic innovation strategy by 3 government ministries, i.e. Ministry of Science, ICT and Future Plan (MSIP), Ministry of Trade, Industry and Energy (MOTIE), and Ministry of Land, Infrastructure and Transport (MOLIT). This tri-lateral government plan leverages the emerging transportation technologies that converge with vehicles, information communication technology (ICT), and mobile to be vehicle-ICT (V-ICT) integration. This approach is called “Road Vehicle Automation”, “Mobility on Demand” and “Sustainable Transport”, and other terms in the transportation industry, which is to be affordable, accessible, environmental friendly, and safe. In addition to the examination of converging intelligent transport services, the transportation sector in the world is actively pursuing the strategy of avoiding the need for travel, shifting to sustainable modes such as electric vehicles, and improving efficiency of all roadway transport modes. This strategy provides critical benefits to consumers in enhance lower congestion, emissions, air pollution, road accidents, etc.
Biography:
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Dr. Young-Jun MOON is a chief director of transport technology research group in the Korea Transport Institute (KOTI). He has joined KOTI in 1998, right after he had graduated in the Univ. of Illinois at Urbana-Champaign (UIUC) with a doctoral degree of Transportation Engineering in the Dept. of Civil and Environmental Engineering. He started his career as a research engineer in the Agency for Defense Development (ADD) in 1987, developing Korean Surface to Air Missile (KSAM) for the military weapon systems. He participated in ITS World Congress and the International Standard Organizations in ITS area as a leader of ITS R&D in Korea from 1999 for developing a variety of ITS projects. Since then, he has been involved in ISO/TC204 as not only an expert in WG14 for vehicle/roadway warning and control system but also a Convenor of WG17 for nomadic & portable devices. He has been a member of the international program committee (IPC) of ITS World Congress since 2005 and also a chair of IPC for the 17th ITS World Congress in Busan, 2010. He has joined a committee member of Transportation Research Board (TRB) on ITS since 2013. He became a member of National Science and Technology Commission (NSTC) under the President House in 2010 until 2013, and a chair of Construction & Transportation Committee. He is also a consulting director of transportation division in PyeongChang 2018 Olympic and Paralympic Winter Games Organizing Committee since 2010. |
Invited Talk 8: “Paving the Road to 5G”
Mr. Jongsik Lee, Vice President, KT
Abstract:
KT is actively working on 5G R&D and global standardization, closely collaborating with industry, government, and global telecom alliances, and accordingly preparing world’s first 5G pre-commercial services for 2018 PyeongChang Winter Olympic Games. In this talk, we will share KT’s view and vision on 5G, and also introduce what KT has done so far, and what KT is currently working on, mainly focusing on 5G pre-commercial services.
Biography:
KT is actively working on 5G R&D and global standardization, closely collaborating with industry, government, and global telecom alliances, and accordingly preparing world’s first 5G pre-commercial services for 2018 PyeongChang Winter Olympic Games. In this talk, we will share KT’s view and vision on 5G, and also introduce what KT has done so far, and what KT is currently working on, mainly focusing on 5G pre-commercial services.
Biography:
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Jongsik Lee is currently the head of 5G TF in Infra Lab. of Institute of Convergence Technology. He joined KT in 1998 and has worked on various wireless areas including 3G, Mobile WiMAX, and LTE-related R&D project. Since 2014, he has been leading LTE Evolution and 5G-related R&D projects. He received the B.S. & M.S. degrees in Electrical Engineering from the Seoul National University in 1996 and in 1998, respectively. His main research areas were RF and microwave engineering. |
Invited Talk 9: “5G Opening New Opportunities”
Dr. Youngjoon Kim, Senior Vice-President, Ericsson-LG
Abstract:
We live in a world where five billion people are connected, where mobile, broadband, and cloud are transforming the fabric of society to a critical stage – an inflection point – enabling transformative and disruptive change across industries and society, catalyzing an entirely new economic model. 5G is the foundation for such transformation. 5G will enable to move into new markets and build new revenue streams with radically new business models and use cases, including Internet of Things (IoT) applications. The move to 5G will add a new element: the industrial internet. We'll see new as-a-service business models based on network slicing. Network slices in the context of 5G will be like virtual networks on-demand. All this will create opportunities for new use cases that we haven’t yet dreamed of. This presentation will survey the 5G use cases together with technology and standard that enable them.
Biography:
We live in a world where five billion people are connected, where mobile, broadband, and cloud are transforming the fabric of society to a critical stage – an inflection point – enabling transformative and disruptive change across industries and society, catalyzing an entirely new economic model. 5G is the foundation for such transformation. 5G will enable to move into new markets and build new revenue streams with radically new business models and use cases, including Internet of Things (IoT) applications. The move to 5G will add a new element: the industrial internet. We'll see new as-a-service business models based on network slicing. Network slices in the context of 5G will be like virtual networks on-demand. All this will create opportunities for new use cases that we haven’t yet dreamed of. This presentation will survey the 5G use cases together with technology and standard that enable them.
Biography:
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Youngjoon Kim is a currently Senior Vice President and Head of R&D Ericsson-LG and he is a member of Ericsson R&D North East Asia leadership. Before joining Ericsson-LG, He held the position as Head of R&D LG-Nortel from 2008. Youngjoon held the position as Director in System Architecture Research Lab, LG-Electronics Korea from 2005 to 2007. He was named Vice President in 2002 and responsible for Mobile Communication Research Division, LG-Electronics Korea. From 2000 to 2010, as a Korea ICT R&D leader, he led several mobile data technology development projects of Alcatel-Lucent, Nortel, Qualcomm, LG-Electronics and Korea Government. Since joining LG Group in 1986, He has also held various managerial positions in Korea. He received his B.S and M.S degrees in Electronic Communication from Hanyang University, Seoul and the Ph.D degree in Computer Science from Korea University. |
Special Session IV: Trust Information Infrastructure
15:30-17:10, October 20 (Thursday), 2016
| Time | Title | Invited Speakers |
|---|---|---|
| 15:30-17:10 | New Value Chains and Technical Issues for Future Trusted Information Infrastructure |
Dr. Jun Kyun Choi, Professor, KAIST |
| ITU-T activites for Trust in ICT Infrastructure and Services |
Dr. Gyu Myoung Lee, Senior Lecturer, Liverpool John Moores University (LJMU), UK |
|
| Trust Embedded Business Model of ICT Convergence Service |
Dr. Minzheong Song, Professor, Hansei University |
Invited Talk 10: “New Value Chains and Technical Issues for Future Trusted Information Infrastructure”
Dr. Jun Kyun Choi, Professor, KAIST
Abstract:
In this talk, the new value chain toward future knowledge society are introduced for ICT innovation. Trust provisioning is critical to open new social and collaborative economy among multiple stakeholders. Trust is one of key components for future convergence applications which are driven by IoT, cloud, and data analytics. For trust provisioning of the ICT infrastructure, there are a lot of technical issues including trust service model, architecture, and solution, etc. According to various types of trust domain, the level of trusts should be defined in terms of trust metric or trust index. Finally, some key strategies will be proposed for standardization of trusted information infrastructure.
Biography:
In this talk, the new value chain toward future knowledge society are introduced for ICT innovation. Trust provisioning is critical to open new social and collaborative economy among multiple stakeholders. Trust is one of key components for future convergence applications which are driven by IoT, cloud, and data analytics. For trust provisioning of the ICT infrastructure, there are a lot of technical issues including trust service model, architecture, and solution, etc. According to various types of trust domain, the level of trusts should be defined in terms of trust metric or trust index. Finally, some key strategies will be proposed for standardization of trusted information infrastructure.
Biography:
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Prof. Jun Kyun Choi received the B.Sc. (Eng.) from Seoul National University in electronics engineering, Seoul, Korea in 1982, and M.Sc (Eng.) and Ph.D degree in 1985 and 1988, respectively, in electronics engineering from Korea Advanced Institute of Science and Technology (KAIST). From June 1986 until December 1997, he was with the Electronics and Telecommunication Research Institute (ETRI). In January 1998, he joined the Information and Communications University (ICU), Daejeon, Korea as Professor. At year 2009, he moves to Korea Advanced Institute of Science and Technology (KAIST) as Professor. From August 2011 to 2014, he worked for IT Convergence Center of KAIST as Director. Dr. Choi was an active member of ITU-T Study Group 13 as a Rapporteur or Editor from January 1993 on the ATM, MPLS, and NGN issues. He is Head of Korean Delegation (1993 - 2010) and the working group chairman of IPTV Focus Group (year 2006 – 2007). He had submitted more than 500 contributions at ITU-T and more than 50 drafts on IETF. |
Invited Talk 11: “ITU-T activites for Trust in ICT Infrastructure and Services”
Dr. Gyu Myoung Lee, Senior Lecturer, Liverpool John Moores University (LJMU), UK
Abstract:
The objective of this talk is to summarize the results of ITU-T workshop on trust and introduce key activities of ITU-T CG-Trust (Correspondence Group on Trust). For this, this talk introduces the trust concept, key characteristics. Then, this talk discusses several technical issues for trust provisioning in ICT infrastructure and services, presents the architectural framework while providing use cases related to ICT applications and services.
Biography:
The objective of this talk is to summarize the results of ITU-T workshop on trust and introduce key activities of ITU-T CG-Trust (Correspondence Group on Trust). For this, this talk introduces the trust concept, key characteristics. Then, this talk discusses several technical issues for trust provisioning in ICT infrastructure and services, presents the architectural framework while providing use cases related to ICT applications and services.
Biography:
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Gyu Myoung Lee received his BS degree from Hong Ik University, Seoul, Korea, in 1999 and his MS and PhD degrees from the Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Korea, in 2000 and 2007. He is with the Liverpool John Moores University (LJMU), UK, as a Senior Lecturer from 2014 and with KAIST Institute for IT convergence, Korea, as an adjunct professor from 2012. Prior to joining the LJMU, he has worked with the Institut Mines-Telecom, Telecom SudParis, France, from 2008. Until 2012, he had been invited to work with the Electronics and Telecommunications Research Institute (ETRI), Korea. He also worked as a research professor in KAIST, Korea and as a guest researcher in National Institute of Standards and Technology (NIST), USA, in 2007. His research interests include Internet of things, future networks, multimedia services, and energy saving technologies including smart grids. He has been actively working for standardization in ITU-T, IETF and oneM2M, etc., and currently serves as a Rapporteur of Q11/13, Q16/13 and Q4/20 as well as an Editor in ITU-T. He is a Senior Member of IEEE. |
Invited Talk 12: “Trust Embedded Business Model of ICT Convergence Service”
Dr. Minzheong Song, Professor, Hansei University
Abstract:
In the talk, ICT Convergence (ICTC) services will be briefly defined and recent consensus toward one common understanding about ‘trust’ economy will be emphasized in terms of security and privacy issues. In fact, ICTC service users need to follow some practices to protect themselves and many business model opportunities exist on basis of the trust relation between the operator and the user. Nowadays, people are connected with devices as well.
Main concern of this talk is to show the trust embedded ICTC business model. For this, the concept of ‘online trust’ will be explained and the opposite ‘trust’ evaluation viewpoints will be discussed: The provider-focused institution and the user-focused social network. With this backdrop, a strategic direction for developing trust embedded ICTC business models will be proposed.
Biography:
In the talk, ICT Convergence (ICTC) services will be briefly defined and recent consensus toward one common understanding about ‘trust’ economy will be emphasized in terms of security and privacy issues. In fact, ICTC service users need to follow some practices to protect themselves and many business model opportunities exist on basis of the trust relation between the operator and the user. Nowadays, people are connected with devices as well.
Main concern of this talk is to show the trust embedded ICTC business model. For this, the concept of ‘online trust’ will be explained and the opposite ‘trust’ evaluation viewpoints will be discussed: The provider-focused institution and the user-focused social network. With this backdrop, a strategic direction for developing trust embedded ICTC business models will be proposed.
Biography:
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Minzheong Song currently has a professor position of Dept. of Media and Communication at Hansei University. She used to work for the Economics & Management Research Lab of Korea Telecom starting from Aug. 1996 to Apr. 2014 and to have a professor position of Dept. of Human ICT convergence for one year at Seongkyunkwan University. She is also a lecturer at various graduate schools of Communications in several universities like Seogang, Sookmyung, Dongkuk and so on. She was the Executive Director of Korea Media Management Association (2002-2011) and has been an auditor for 3 years from 2011 to 2013. She has also served as an auditor of Communication Academic Society (2008-2011). Since 2012, she has been working as the Cooperation Director at Korean Association for Broadcasting & Telecommunications Studies and vice-president of Cyber-communication Academic Society from 2012 to 2013. She has been also nominated as the vice-president of the Korea Academic Association of Business Administration and the Academic Association of Digital management from 2014 to 2015 regarding the management. She received B.A. in German Literature (major) and Communications (minor) from Ewha Womans University and M.A. in Media Communication (former Newspapers & Broadcasting) from Jungang University. She finished her Ph.D. course in Media Communication from University of Zuerich in Switzerland and took a Post-doc course from the same school for one year and simultaneously, she worked for the Media and Communication Department of Prognos AG, in Basel from August 1995 to August 1996. For her career on the job, she also holds KT MBA course of KAIST (2001) in Korea and MBA course of Seoul National University for one year (2008) during her yearly leave of KT. During the summer 2008, she finished a Media MBA summer course at UCLA in the US. |
Special Session V: Machine Learning/Artificial Intelligence
08:20-10:00, October 21 (Friday), 2016
| Time | Title | Invited Speakers |
|---|---|---|
| 08:20-10:00 | Machine Learning: Theory and Applications to Multimedia Experience |
Dr. Jong-Seok Lee, Professor, Yonsei University |
| Graph-based Semi-supervised Learning | Dr. Hang Su, Postdoctoral Fellow , Tsinghua University, China |
|
| Artificial Intelligence: Information-Theory Perspective |
Dr. Sae-Young Chung, Professor, KAIST |
Invited Talk 13: “Machine Learning: Theory and Applications to Multimedia Experience“
Dr. Jong-Seok Lee, Professor, Yonsei University
Abstract:
Machine learning has emerged as a powerful tool to solve challenging problems in many areas. For instance, we have recently noticed the success of AlphaGo, which was built using machine learning techniques with a large amount of data. Basically, machine learning tries to extract knowledge underlying in the given data via learning and apply the learned knowledge to similar but different situations, which is similar to the process that humans learn through experience. This talk first introduces some fundamentals of machine learning, including a brief history, basic concepts, and important techniques. Then, example applications in multimedia communications are presented. In particular, how machine learning can be applied to analysis of human-centered multimedia experience will be illustrated.
Biography:
Machine learning has emerged as a powerful tool to solve challenging problems in many areas. For instance, we have recently noticed the success of AlphaGo, which was built using machine learning techniques with a large amount of data. Basically, machine learning tries to extract knowledge underlying in the given data via learning and apply the learned knowledge to similar but different situations, which is similar to the process that humans learn through experience. This talk first introduces some fundamentals of machine learning, including a brief history, basic concepts, and important techniques. Then, example applications in multimedia communications are presented. In particular, how machine learning can be applied to analysis of human-centered multimedia experience will be illustrated.
Biography:
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Prof. Jong-Seok Lee received the Ph.D. degree in electrical engineering and computer science from KAIST, Korea, in 2006. From 2008 to 2011, he was a research scientist with the Swiss Federal Institute of Technology in Lausanne (EPFL), Switzerland. He is currently an associate professor with the School of Integrated Technology, Yonsei University, Korea. He has authored or coauthored more than 100 publications. He serves as an area editor for Signal Processing: Image Communication. He is a senior member of IEEE. His current research interests include multimedia computing and machine learning. |
Invited Talk 14: “Graph-based Semi-supervised Learning“
Dr. Hang Su, Postdoctoral Fellow , Tsinghua University, China
Abstract:
Among these methods, Graph-based Semi-supervised Learning is an s an appealing semi-supervised learning paradigm for modeling the manifold structures and reducing the human efforts in annotations. However, it has limitations in widespread applicability due to its computationally prohibitive large-scale inference, sensitivity to data incompleteness, and incapability on handling time-evolving characteristics in an open set. I will talk about how to improve the performance by addressing the aforementioned issues. Specifically, I will first present an correction propagation algorithm over an augmented graph such that the performance is improved incrementally when human interventions involved gradually. Then, I will present a novel semi-supervised learning method based on a batch of informative beacons with sparsity appropriately harnessed, which is demonstrated to be effective to implement scalable inference, and robust to sample corruptions. I will also demonstrate these methods to some real-world applications, such as bio-medical image analysis, image classification, etc.
Biography:
Among these methods, Graph-based Semi-supervised Learning is an s an appealing semi-supervised learning paradigm for modeling the manifold structures and reducing the human efforts in annotations. However, it has limitations in widespread applicability due to its computationally prohibitive large-scale inference, sensitivity to data incompleteness, and incapability on handling time-evolving characteristics in an open set. I will talk about how to improve the performance by addressing the aforementioned issues. Specifically, I will first present an correction propagation algorithm over an augmented graph such that the performance is improved incrementally when human interventions involved gradually. Then, I will present a novel semi-supervised learning method based on a batch of informative beacons with sparsity appropriately harnessed, which is demonstrated to be effective to implement scalable inference, and robust to sample corruptions. I will also demonstrate these methods to some real-world applications, such as bio-medical image analysis, image classification, etc.
Biography:
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Dr. Hang Su is a postdoctoral fellow at Tsinghua University in the Department of Computer Science and Technology. He received his B.S., M.S. and Ph. D. degree in Electronic Engineering from Shanghai Jiaotong University in 2007, 2009 and 2014, respectively. From September 2011 to Aug. 2014, he worked as a visiting scholar under the supervision of Professor Takeo Kanade in the Robotic Institute at Carnegie Mellon University, USA. His research interests include computer vision, pattern recognition and machine learning, with a recent focus on computer vision and machine learning. Based on his work, he has published more than 30 papers in CVPR, IJCV, ECCV, MIA, TIFS, ICME, ACCV, etc. He has also served as a PC member of IJCAI, UAI, AAAI, and the reviewer of TPAMI, TMI, CyberC, JVIS and ICML, NIPS, CVPR, ACCV, WACV, BMVC, KDD, etc. He is a recipient of the Young Investigator Award for his work on bio-medical image analysis at MICCAI201212, and the Best Paper Award for his work on video surveillance at IEEE AVSS2012, respectively. |
Invited Talk 15: “Artificial Intelligence: Information-Theory Perspective“
Dr. Sae-Young Chung, Professor, KAIST
Abstract:
Deep learning was a key component in AlphaGo's excellent performance. Recent AlphaGo vs. Lee Sedol match demonstrated that it is now possible to train computers to have human-like intuition. Deep learning has been successful in many other areas including image and speech recognition, game playing, and natural language processing. However, current deep learning techniques require a large amount of data for proper training. On the other hand, humans can recognize certain patterns very well even with a single training example, which is not easy with current deep learning approaches. If this problem can be solved, deep learning can be a more powerful tool in designing human-like artificial intelligence. In this talk, we show some recent approaches based on information theory that can be useful in solving such problems.
Biography:
Deep learning was a key component in AlphaGo's excellent performance. Recent AlphaGo vs. Lee Sedol match demonstrated that it is now possible to train computers to have human-like intuition. Deep learning has been successful in many other areas including image and speech recognition, game playing, and natural language processing. However, current deep learning techniques require a large amount of data for proper training. On the other hand, humans can recognize certain patterns very well even with a single training example, which is not easy with current deep learning approaches. If this problem can be solved, deep learning can be a more powerful tool in designing human-like artificial intelligence. In this talk, we show some recent approaches based on information theory that can be useful in solving such problems.
Biography:
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Sae-Young Chung received the B.S. and M.S. degrees in electrical engineering from Seoul National University, Seoul, South Korea, in 1990 and 1992, respectively and the Ph.D. degree in electrical engineering and computer science from the Massachusetts Institute of Technology, Cambridge, MA, USA, in 2000. From September 2000 to December 2004, he was with Airvana, Inc., Chelmsford, MA, USA. Since January 2005, he has been with the Department of Electrical Engineering, KAIST, Daejeon, South Korea, where he is currently a Professor. He served as an Associate Editor for the IEEE Transactions on Communications from 2009 to 2013. He has been serving as an Associate Editor for Shannon Theory for the IEEE Transactions on Information Theory since 2014. He served as the Technical Program Co-Chair of the 2014 IEEE International Symposium on Information Theory and as the Technical Program Co-Chair of the 2015 IEEE Information Theory Workshop. His research interests include information theory and machine learning. |
Special Session VI: AR/VR
10:30-12:10, October 21 (Friday), 2016
| Time | Title | Invited Speakers |
|---|---|---|
| 10:30-12:10 | Fully immersive virtual simulation training system for soldier |
Dr. Sangjoon Park, Director of Positioning/Navigation Technology Research Section, Electronics and Telecommunications Research Institute (ETRI) |
| Action Recognition for Virtual Training Systems | Dr. Blagovest Vladimirov, Researcher, Intelligent Cognitive Technology Research Department, Electronics and Telecommunications Research Institute (ETRI) |
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| Display Innovation: Floating picture in the real space | Dr. Haruhiko Okumura, Senior Specialist, Toshiba Corp, Japan |
Invited Talk 16: “Fully immersive virtual simulation training system for soldier”
Dr. Sangjoon Park, Director of Positioning/Navigation Technology Research Section, Electronics and Telecommunications Research Institute (ETRI)
Abstract:
This presentation presents my research team's ongoing project, which is in collaboration with ROK Army Training&Doctrine Command. The purpose of our project is to develop a fully immersive virtual simulation training system, which will enable soldiers, leaders, and units to train in a virtual environment to increase the quality of instruction and combat preparedness, while at the same time reducing traditional training expenses associated with large-scale instruction facilities. We integrate the ability of physical walking and running into a virtual environment. The ability of physically walking and running is accomplished through the incorporation of an omnidirectional treadmill (ODT) system as the floor of the computer assisted virtual environment (CAVE). An ODT is a device that allows a person to perform locomotive motion in any direction. the ODT supports walking and running speeds up to 10 kilometers per hour, providing a good range of exploring paces to users. We expect that Soldier Training System will enable soldiers, leaders, and units to train in a virtual environment to increase the quality of instruction and combat preparedness, while at the same time reducing traditional training expenses associated with large-scale instruction facilities.
Biography:
This presentation presents my research team's ongoing project, which is in collaboration with ROK Army Training&Doctrine Command. The purpose of our project is to develop a fully immersive virtual simulation training system, which will enable soldiers, leaders, and units to train in a virtual environment to increase the quality of instruction and combat preparedness, while at the same time reducing traditional training expenses associated with large-scale instruction facilities. We integrate the ability of physical walking and running into a virtual environment. The ability of physically walking and running is accomplished through the incorporation of an omnidirectional treadmill (ODT) system as the floor of the computer assisted virtual environment (CAVE). An ODT is a device that allows a person to perform locomotive motion in any direction. the ODT supports walking and running speeds up to 10 kilometers per hour, providing a good range of exploring paces to users. We expect that Soldier Training System will enable soldiers, leaders, and units to train in a virtual environment to increase the quality of instruction and combat preparedness, while at the same time reducing traditional training expenses associated with large-scale instruction facilities.
Biography:
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Sangjoon Park is currently Director of Positioning/Navigation Technology Research Section in Electronics and Telecommunications Research Institute (ETRI). He is also an Adjunct Professor at University of Science & Technology from 2011. His current research interests are Indoor Localization, human action recognition, Augmented reality and Virtual Reality System. He also worked as a senior researcher in Agency for Defense Development (ADD) from 1990 to 2001. Sangjoon Park received his B.S. and M.S. degrees in Electronics engineering from the Kyung-Pook National University in 1988 and 1990, respectively. He received his Ph.D. degree in computer science department from the North Carolina State University in 2006. |
Invited Talk 17: “Action Recognition for Virtual Training Systems”
Dr. Blagovest Vladimirov, Researcher, Intelligent Cognitive Technology Research Department, Electronics and Telecommunications Research Institute (ETRI)
Abstract:
Training systems based on virtual simulators are useful for practicing tasks in a variety of situations in a safe manner. Supporting natural interaction with the virtual environment through action recognition enhances the trainee's experience and contributes to the effectiveness of the training process. We present an action recognition approach that combines heterogeneous classifiers handling both continuous and discrete actions with low latency. We describe the current implementation and discuss various performance aspects in the context of a first-person shooter game.
Biography:
Training systems based on virtual simulators are useful for practicing tasks in a variety of situations in a safe manner. Supporting natural interaction with the virtual environment through action recognition enhances the trainee's experience and contributes to the effectiveness of the training process. We present an action recognition approach that combines heterogeneous classifiers handling both continuous and discrete actions with low latency. We describe the current implementation and discuss various performance aspects in the context of a first-person shooter game.
Biography:
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Dr. Blagovest Vladimirov received his B.E. degree in Industrial Automation from Technical University of Sofia, Bulgaria and obtained M.E. and Ph.D. degrees in Systems Engineering from Nagoya Institute of Technology, Japan. Since 2010 he is a researcher at the Electronics and Telecommunications Research Institute in Korea. His research interests are in machine learning and its application in cognitive systems development. |
Invited Talk 18: “Display Innovation: Floating picture in the real space”
Dr. Haruhiko Okumura, Senior Specialist, Toshiba Corp, Japan
Abstract:
The new display technology, such as augmented reality (AR) and virtual reality (VR) including Google Glass and Occulas Rift, which floats or projects pictures and information in the real space attracts attention. The new virtual space experiences that such kind of innovative displays bring can create the completely new market. To build up such a virtual space in human brain, the research and development of the display technology to let you feel a feeling of depth covering up the whole human field of vision are the most important
To measure a feeling of human depth, we developed the dome type display which had fields of vision more than 160 degrees equivalent to the human field of vision as a wide-field display and we found that a feeling of depth for only one eye was extremely better than that for both eyes in the case of automobile navigation.
So, we developed a monocular head-up display(WARP) for automobile and demonstrated that we could convey navigator information of more than 100m ahead intuitively exactly in the real space by using a virtual moving 3D navigator arrow.
I mainly introduce not only the WARP conveying information to the driver of the car directly and precisely, but also an augmented reality wearable terminal "AR glass" and immersive head-up display with more than 140 degrees FOV for medical MRI.
Biography:
The new display technology, such as augmented reality (AR) and virtual reality (VR) including Google Glass and Occulas Rift, which floats or projects pictures and information in the real space attracts attention. The new virtual space experiences that such kind of innovative displays bring can create the completely new market. To build up such a virtual space in human brain, the research and development of the display technology to let you feel a feeling of depth covering up the whole human field of vision are the most important
To measure a feeling of human depth, we developed the dome type display which had fields of vision more than 160 degrees equivalent to the human field of vision as a wide-field display and we found that a feeling of depth for only one eye was extremely better than that for both eyes in the case of automobile navigation.
So, we developed a monocular head-up display(WARP) for automobile and demonstrated that we could convey navigator information of more than 100m ahead intuitively exactly in the real space by using a virtual moving 3D navigator arrow.
I mainly introduce not only the WARP conveying information to the driver of the car directly and precisely, but also an augmented reality wearable terminal "AR glass" and immersive head-up display with more than 140 degrees FOV for medical MRI.
Biography:
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Haruhiko Okumura received B.Sc., M.Sc. and Ph.D. degrees in Electrical Engineering from Waseda University in 1981, 1983 and 1995, respectively. He joined Toshiba R&D Center, Kawasaki, Japan, in 1983. He has been engaged in developing image-pickup equipment and video coding technologies for TV telephone and convention equipment. He is now working on research and development of image processing and driving technologies for flat panel displays, especially LCDs and new display applications such as AR, VR and Head-Up Display (HUD). He has been an IEEE CE society East Joint Japan Chapter Chair since 2014. |