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Appendix 1

Japan-Israel Collaborative Research Projects

Project Title Japanese Researcher Position and Institution Abstract of Research Project
Israeli Researcher
1 Learning and Detecting Changes in Population Behavior from Video Yoichi SATO Professor,
Institute of Industrial Science,
The University of Tokyo
The goal of this project is to develop core technologies to enable automatic analysis of a large amount of video data captured with diverse types of camera for modeling and understanding population behavior. In particular, we aim to develop techniques (1) to track specific people across diverse cameras and sensors of other modalities like accelerometers, (2) to discover routinely happening activities from videos and (3) to find events or locations that have a significant meaning to people behaviors. Furthermore, we work on techniques for automatic detection of changes in population behaviors and for efficient browsing of a large amount of video data. We expect that the outcome of this project accelerates utilization of various cameras such as surveillance cameras and wearable cameras as a common infrastructure for providing solutions to various problems of high social need including crime prevention and disaster control.
Michael WERMAN Professor,
School of Computer Science and Engineering,
The Hebrew University of Jerusalem
2 Efficient Survivability and Uninterrupted Operation of Data-Depending Public Utilities in spite of Disasters and Attacks Toshimitsu MASUZAWA Professor,
Graduate School of Information Science and Technology,
Osaka University
The main goal of this research is to contribute significantly on the development of a coherent framework (algorithms and architectures) to increase the resilience of distributed systems. Specifically, it aims at extending self-stabilization for practical distributed systems as follows. (1) Increase efficiency in normal operations. (2) Attain autonomous recovery from any transient faults and malicious attacks without any kind of outside interventions (i.e., self-stabilization). (3) Increase the availability of the systems even during fault recovery. (4) Increase robustness against permanent faults and malicious attacks.
Yuval EMEK Assistant Professor,
Israel Institute of Technology (Technion)
3 Resilient Human-in-the-loop Multiagent Optimization Makoto YOKOO Distinguished Professor,
Department of Informatics,
Kyushu University
In this project, we aim at establishing resilient, human-in-the-loop multiagent optimization technologies based on Artificial Intelligence technologies. More specifically, we consider an environment in which the objective function in an optimization problem is not given beforehand. We will develop core technologies including learning the preferences of the humans involved, balancing the conflicting interests among humans, and dealing with dynamic changes of the environment. Furthermore, we will develop a prototype system that integrates these core technologies. We expect that this project will significantly extend the application domains of optimization techniques, including the resource allocation problems in disaster recovery situations (in which scarce resources such as relief supplies, rescue robots, police forces, must be allocated quickly and efficiently to contemplate the most pressing needs while considering the dynamic changes of the environment such as road conditions).
Sarit KRAUS Professor,
Department of Computer Science,
Bar-Ilan University

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