||室蘭工業大学 R205 プレゼンテーションルーム
||Monitoring, Management and Optimal Redundancy of Unstable Networks
Computer Networks are often disrupted by number of reasons. The most
powerful disruption might occur during natural disasters. For example, we
witnessed that many wired networks and servers of the telecommunication
companies were disrupted and damaged by the tsunami in Japan. Similarly,
networks services are often disrupted in the real networks of Himalayan
regions due to extreme weather and other several reasons. Networks which are
not available regularly are regarded as unstable networks. Therefore, it is
very essential that Networks must be safeguarded against disasters by
providing redundant links or nodes in order to provide stable services. In
this study, we surveyed the potential for establishing redundant Wi-Fi
networks in schools in the Soya region of Hokkaido, to proactively create a
bypass network that can be used if a natural disaster occurs. However,
considering the financial constraint, redundancy should be optimal.
Following to simulation study, we also conducted a medium scale trace-driven
approach to eliminate un-necessary redundancy and make it optimal. By
proactively establishing an optimal redundant wireless network as a detour
emergency route using our approach, an organization can reduce disaster risk
without consuming much time during disasters and can maintain high
Furthermore, a robotic vehicle that can monitor and assist the unstable
network would also be discussed.
||北海道大学大学院情報科学研究科棟 11階大会議室 （11－17）
||Advances in Cryptographic System Implementations
||Prof. Thanos Stouraitis，The University of Patras, Greece
||電子情報通信学会北海道支部, IEEE Sapporo Section
Advancing telecommunications, data storage, military, health, and other
"information- sensitive" technologies have accented cryptography as an
important design and security factor. This talk addresses the
application framework and VLSI design implementation challenges of
modern cryptographic applications and illustrates various cryptography
implementation solutions. Of particular interest for this discussion are
hardware designs for cryptography as well as the impact of recent
algorithmic and mathematical advances in computer arithmetic and
alternative number system representations that are useful for
cryptography. The lecture also attempts to offer directions towards a
more qualitative work model for future cryptography hardware system
researchers and designers by showcasing the added value offered by
mathematical and algorithmic improvements rather than isolated hardware
optimization techniques or exploitation of inherent capabilities of
state-of-the-art FPGA devices.
|講演者略歴(Bio. of Speaker)
Prof. Thanos Stouraitis, an IEEE Fellow for his "contributions in
digital signal processing architectures and computer arithmetic," is a
Professor of the ECE Dept. at the University of Patras, Greece, where he
directs the Signal and Image Processing Laboratory. He was President of
the IEEE Circuits and Systems Society for 2012-3.
He has served as a member of the founding AdCom of the University of
Sterea Hellas in Greece. He has served on the faculty of The Ohio State
University and has visited the University of Florida, the New York
Polytechnic University, and the University of British Columbia.
He served as Regional Editor for Europe for the Journal of Circuits,
Systems, and Computers, as Associate Editor for several IEEE
Transactions. He reviews proposals for NSF, the European Commission, and
other agencies. He has served as general chair of IEEE ISCAS 2006 and
several other IEEE conferences.
He has received several awards, including the IEEE Guillemin-Cauer Award.
||宮永 喜一（北海道大学大学院情報科学研究科 教授）
||Unsupervised Texture Segmentation
||Dr. Michal Haindl （Head of Department of Pattern Recognition, Czech Republic）
A visual appearance of natural materials significantly depends on
acquisition circumstances, particularly illumination conditions and
viewpoint position, whose variations cause difficulties in the analysis
of real scenes.
We address this issue in the framework of unsupervised segmentation of
static and dynamic textures. Textural features, based on fast estimates of
Markovian statistics, that are simultaneously rotation and illumination invariant
will be discussed.
The proposed features are invariant to in-plane material rotation and
illumination spectrum (colour invariance), they are robust to local
intensity changes (cast shadows) and illumination direction.
No knowledge of illumination conditions is required and recognition is possible from
a single training image per material.
The material recognition is tested on the currently most realistic visual representation -
Bidirectional Texture Function (BTF), using CUReT and ALOT texture datasets with more than 250
natural materials. Our proposed features significantly outperform leading alternatives including
Local Binary Patterns (LB, LB-HF) and texton MR8 methods.
Finally we will discuss textural segmenters performance verification
based on the Prague texture
segmentation data-generator and benchmark and its recent modifications.
Texture modeling, Statistical Pattern Recognition, Unsupervised image segmentation
|講演者略歴(Bio. of Speaker)
Prof. Ing. Michal Haindl, DrSc.
Position: head of the department
Department: Pattern Recognition (RO)
Spatial Data Modelling; Virtual Reality; Pattern Recognition
(See the detail at http://www.utia.cas.cz/people/haindl)
Professor Michal Haindl graduated with honours in control engineering
from the Czech Technical University (1979), Prague, received Ph.D. in
technical cybernetics from the Czechoslovak Academy of Sciences (1984),
and the ScD (DrSc) degree from the Czech Technical University (2001),
and full professor (2010) from the West Bohemian University, Pilsen. He
is a fellow of the IAPR, senior member of the IEEE, the court expert
in Computer Science, and member of the Academy Council of the Czech
Academy of Sciences.
Michal Haindl has published during his thirty-five-year scientific
career over 290 scientific publications in books, journal articles, and
conference proceedings. He has been the proposer, principal
investigator, principal co-investigator or research group leader of
several large successful EU projects and numerous national research
projects. He has published significant results in various areas of
mathematical modeling, mainly modeling hydraulic supercritical flow (the
mathematical conditions for the ring jump occurrence, 4 patents, 150
realized sewage treatment plants using this principle), adaptive control
theory, remote sensing (highway recognition, ecology, agriculture),
random fields theory, computer vision (image and video restoration), and
pattern recognition (several top-ranking unsupervised
segmenters). Together with his collaborators he developed majority of
published BTF modeling results and his group enjoys leading position in
this newly emerging frontier research area.
||工藤 峰一（北海道大学大学院情報科学研究科 教授）
||Links-on-the-fly technologies: from the correlated source coding theorem viewpoint
||松本 正／Tad Matsumoto（北陸先端大／University of Oulu, Finland）
The goal of this talk is to provide audience with the knowledge about the relationship between relay systems and the Distributed Coding techniques for correlated sources.
This talk will be started by briefly reviewing the historical background and progress of Information Theory and Signal Processing for Wireless Communications. Especially, how and why iterative (turbo) decoding can achieve asymptotically the close-limit performance will be addressed.
Then, the focus of this talk is shifted to cooperative communications, where Decode-and-forward (DF) relaying has long been considered as one of the most suitable and promising techniques for the applications to practical systems, because it does not require source-relay (referred to as intra-links) channel state information at the destination. It is shown that performance of the conventional DF systems can significantly be improved by performing another interleaving at the relay, with which the resulting network structure is equivalent to distributed turbo code. Furthermore, since the knowledge about the bit error probability of the source-relay node can be used as the correlation between the two frames, one from the source, and the other from the relay, we can well exploit the Slepian-Wolf theorem; With the utilization of the theorem, the relay can forward the frame even though it detects errors in the information part, and the destination can recover the data losslessly.
Then, this talk further expands the idea, from lossless-likn-design-based to lossy-based. In this part, we assume that none of the relays at the final stage has no errors in the information parts of the frames. This category of the problems belongs to Distributed Lossy Coding, represented by the Chief Executive Officer (CEO) problem, in Network Information Theory. Even in this situation, still the destination can recover the data with the distortion level lower than specified.
This talk introduces conceptual bases of the lossless (Slepian Wolf) and lossy-link-design –based network design, and provides basic ideas for signal detection algorithms for the both cases based on the turbo principle. Results of initial simulations conducted to evaluate the performances of the detection/decoding techniques for several simple network models are also presented. The major applications of the system concept introduced in this keynote speech are Wireless Mesh Networks, Wireless Sensor Networks, Wireless Machine-to-Machine networks, Wireless Internet-of-Things, and Densely Populated Wireless Networks, as well as Rapid Construction of Monitoring Systems in Devastated Public Facilities, such as Fukushima.
Finally, this talk briefly introduces "Links-on-the-fly Technology for Robust, Efficient and Smart Communication in Unpredictable Environments (RESCUE) a EU FP7 ICT-2013 project, of which concept was motivated by the technological bases described above. The objective of the project is to create energy- and spectrally-efficient communication systems which are robust against unpredictable network topology changes. The origin of the project proposal is that massive earthquakes including series of aftershock hit the Tohoku and Kanto areas in Japan on March 11, 2011, followed by unprecedentedly huge Tsunami waves of up to 40 m height. After the huge devastative/disastrous event clearly indicated several limitations in operability of the conventional wireless communication systems based on the accurate link budget allocation concept and communication chain design (coding, signaling chain, as well as also higher layer protocols), and the continuation of the communication is supported by a proper handover algorithm. The systems, which are expected to keep its operability in unpredicted network damages, have to be robust against the network topology change.
The results are expected to be applicable to machine-to-machine and vehicle-to-vehicle communications as well as communication for internet-of-things since they should also require the robustness against the network topology change, and have to be highly energy-efficient. This talk provides the participants with the knowledge of technological bases towards achieving this goal, performance limit/outage derivations, and some practical coding/decoding algorithms. The issues described above are explained mainly from the viewpoint of lossless/lossy distributed correlated source coding theorems in network information theory.
Decode-and-Forward Based Cooperative Communications Allowing Intra-link Errors, Slepian-Wolf Theorem, Source Coding with a Helper, Lossless and Lossy Networks, Intra-link Error Probability Estimation, Highly Densely Located Nodes, Links-on-the-Fly
|講演者略歴(Bio. of Speaker)
Tad Matsumoto received his B.S., M.S., and Ph.D. degrees from Keio University, Yokohama, Japan, in 1978, 1980, and 1991, respectively, all in electrical engineering. He joined Nippon Telegraph and Telephone Corporation (NTT) in April 1980. Since he engaged in NTT, he was involved in a lot of research and development projects, all for mobile wireless communications systems. In July 1992, he transferred to NTT DoCoMo, where he researched Code-Division Multiple-Access techniques for Mobile Communication Systems. In April 1994, he transferred to NTT America, where he served as a Senior Technical Advisor of a joint project between NTT and NEXTEL Communications. In March 1996, he returned to NTT DoCoMo, where he served as a Head of the Radio Signal Processing Laboratory until August of 2001; He worked on adaptive signal processing, multiple-input multiple-output turbo signal detection, interference cancellation, and space-time coding techniques for broadband mobile communications. In March 2002, he moved to University of Oulu, Finland, where he served as a Professor at Centre for Wireless Communications. In 2006, he served as a Visiting Professor at Ilmenau University of Technology, Ilmenau, Germany, funded by the German MERCATOR Visiting Professorship Program. Since April 2007, he has been serving as a Professor at Japan Advanced Institute of Science and Technology (JAIST), Japan, while also keeping the position at University of Oulu.
Prof. Matsumoto has been appointed as a Finland Distinguished Professor for a period from January 2008 to December 2012, funded by the Finnish National Technology Agency (Tekes) and Finnish Academy, under which he preserves the rights to participate in and apply to European and Finnish national projects. Prof. Matsumoto is a recipient of IEEE VTS Outstanding Service Award (2001), Nokia Foundation Visiting Fellow Scholarship Award (2002), IEEE Japan Council Award for Distinguished Service to the Society (2006), IEEE Vehicular Technology Society James R. Evans Avant Garde Award (2006), and Thuringen State Research Award for Advanced Applied Science (2006), 2007 Best Paper Award of Institute of Electrical, Communication, and Information Engineers of Japan (2008), Telecom System Technology Award by the Telecommunications Advancement Foundation (2009), IEEE Communication Letters Exemplifying Reviewer Award (2011), and Nikkei Wireless Japan Award (2012). He is a Fellow of IEEE and a Member of IEICE. He is serving as an IEEE Vehicular Technology Distinguished Lecturer during the term July 2011-June 2015.