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Feb 17, 2020:
The 2020 annual meeting have been held.
Aug 23, 2019:
Sapporo Section received recognition for “2019 Outstanding Section Membership Recruitment and Retention Performance”
Click here for details
July 7, 2019:
IEEE室蘭工業大学Student Branch設立記念式典
Click here for details
日時: 2019年8月2日(Fri) 14:00-20:00
場所: 室蘭工業大学(050-8585 北海道室蘭市水元町27-1)
教育・研究8号館R棟2階 R205
参加申込み(締切: 7/19(金))
Program (暫定)
Chairs: Mianxiong Dong (Muroran Institute of Technology SB Counselor) and
Hiroshi Tsutsui (Hokkaido University SB Counselor)
14:00-14:10 Opening Remark by IEEE Sapporo Section Chair
14:10-14:20 Message from IEEE Sapporo Section Student Activity Committee Chair
14:20-14:40 Hokkaido University Student Branch Presentation
14:40-15:00 Muroran Inst. Tech. Student Branch Presentation
15:00-16:30 Invited Speech by Dr. Priyadarsi Nanda (University of Technology Sydney) See here
16:30-16:50 Break
16:50-17:20 Presentations (Hokkaido University)
17:20-17:50 Presentations (Muroran Inst. Tech.)
17:50-18:00 Closing Remark by Prof. Yoshikazu Miyanaga
18:00-20:00 Networking (懇親会)
Sponsors: IEICE Hokkaido Section, IEEE Sapporo Section,
IEEE Muroran Institute of Technology Student Branch,
IEEE Hokkaido University Student Branch
問合せ先 : hiroshi.tsutsui(at)ist.hokudai.ac.jp
IEEE Hokkaido University Student Branch Counselor 筒井 弘
June 5, 2019:
The 26th International Display Workshops (IDW '19) will be held on Nov. 27-29, 2019.
当支部では，上記国際ワークショップに協賛しております．詳細は上記リンクまたはこちらをご覧ください．
Dec 4, 2018:
The 2019 annual meeting will be held on Feb 7, 2019.
シリコン光演算回路の研究動向
佐藤孝憲先生（北海道大学准教授）
「シリコンフォトニクス」と呼ばれる、成熟したCMOSプロセスを用いて作製する光デバイスの研究が活発化している。最近では、光通信や光センシング用途のみならず、光を用いて計算を行う光演算デバイスの開発も注目されている。本報告では、光回路の基本動作原理から具体的な回路構成までを丁寧に解説し、最近の研究動向についても紹介する。
WebEXによるリモート講演（申込者に接続情報を通知）
IEEE Sapporo Section
IEEE Sapporo Section Women in Engineering (WIE)
IEEE 北海道大学 Student Branch
IEEE 室蘭工業大学 Student Branch
超スマート社会に向けた光無線通信技術の展望
大柴小枝子先生（京都工芸繊維大学教授）
超スマート社会では, サイバー空間（仮想空間）とフィジカル空間を高度に融合させたシステムの構築と利用が進化し，５G/ByondやIoTなど高度な無線データネットワークへの需要拡大が予測されることから, 新たな電波周波数資源として光無線通信（Optical wireless communication :OWC)への注目が高まっている. 本報告では，可視光通信, LiFi, カメラ通信など, 光無線技術について解説するとともにその応用例と展望を紹介する．
WebEXによるリモート講演（申込者に接続情報を通知）
IEEE Sapporo Section
IEEE Sapporo Section Women in Engineering (WIE)
IEEE 北海道大学 Student Branch
IEEE 室蘭工業大学 Student Branch
無線通信技術におけるベイズ統計の活用
萩原 淳一郎 （北海道大学客員教授、NTTドコモ）
人工知能や機械学習を含め、様々な分野でベイズ統計の活用が普及している。ベイズ統計の魅力の一つはその柔軟性にあり、伝統的な統計学に比べて様々な利点を持っている。無線通信技術でもベイズ統計の活用は広がりを見せており、本講演では大規模MIMOにおける信号検出例を通じて、ベイズ統計の利点や活用の際のポイントをまとめる。
Zoomによるリモート講演（申込者に接続情報を通知）
IEEE Sapporo Section
移動無線通信システムの発展の歴史と6Gの展望
Prof. Fumiyuki Adachi of Tohoku University
1980年代から始まった移動通信システムは第1世代（1G）から第5世代（5G）へと進化し，日本では今年から5G通信サービスの提供が始まりました．本講演では，1Gから5Gシステムまで発展してきた移動通信システムの歴史を振り返ります．5Gシステムでは超高速通信の他，超多数デバイス通信と超高信頼・低遅延通信が期待されています．超高速通信の実現には，カバレッジを確保しつつ面的スペクトル利用効率と無線エネルギー利用効率の同時向上を狙った新しい通信技術の導入が不可欠です．5Gシステム実現に向けた超高速無線通信技術の一端について紹介します．5G通信サービスが始まった今，6Gシステム実現に向けた通信技術の研究開発が始まりました．どんな通信サービスを狙っているのかについても簡単に紹介します．
Room R205,
Education Research Building #8,
Muroran Institute of Technology
http://www.muroran-it.ac.jp/facilities.html
IEEE Muroran Institute of Technology Student Branch
IEEE Sapporo Section
IEEE Sapporo Section Young Professionals (YP)
IEEE Sapporo Section Women in Engineering (WIE)
VIDEO ANOMALY DETECTION FOR INTELLIGENT SURVEILLANCE SYSTEM
Prof. Supavadee Aramvith
Video anomaly detection has widely gained popularity for intelligent surveillance systems in recent years. Most works have struggled with challenging tasks such as detecting and localizing objects in complex and crowded scenes, especially with the object localization in a pixel-level evaluation. In fact, they can achieve either frame-level anomaly detection or pixel-level anomaly localization in some complex scenes. In this talk, we will present and discuss our proposed framework based on Deep Spatiotemporal Translation Network (DSTN), novel unsupervised anomaly detection and localization method based on Generative Adversarial Network (GAN) and Edge Wrapping (EW). Our DSTN has been tested on publicly available anomaly datasets, including UCSD pedestrian, UMN, and CUHK Avenue. The results show that it outperforms other state-of-the-art algorithms with respect to the frame-level evaluation, the pixel-level evaluation, and the time complexity for abnormal object detection and localization tasks.
Please see HERE.
IEEE Sapporo Section
IEEE Sapporo Section Women in Engineering (WIE)
THE EVOLUTION OF DATA CENTER NETWORK ARCHITECTURES
Prof. Suresh Subramaniam of George Washington University
Our society is becoming increasingly dependent on analyzing huge amounts of data generated in a large variety of ways. Analyzing the “big data” in the cloud requires a tremendous amount of computing and storage resources, and data centers have emerged as the workhorses of the cloud. Large data centers already consist of tens of thousands of servers, and are expected to scale to hundreds of thousands or even millions of servers with total throughputs in the order of several Tbps. Data centers are extremely power-hungry, and already account for over 2% of worldwide energy consumption. Designing data center networks that are both scalable and energy-efficient is very challenging. To address this challenge, the architecture of the data center network has evolved from the conventional multi-layer architecture to modern approaches that marry electronics and optics. This lecture takes a look at this evolution and discusses emerging alternatives.
Room R205,
Education Research Building #8,
Muroran Institute of Technology
http://www.muroran-it.ac.jp/facilities.html
Mianxiong Dong, Professor and Advisor to Executive Director
Department of Sciences and Informatics
Muroran Institute of Technology
mx.dong(at)csse.muroran-it.ac.jp
5G Mobile Networks – Technologies and Challenges
Prof. Abbas Jamalipour, Professor of Ubiquitous Mobile Networking
School of Electrical and Information Engineering, The University of Sydney, Australia
Fellow of the IEEE, Fellow of IEICE, Fellow of IE Australia
The efficient use of transmission power and frequency spectrum have been the main focus in development of new technologies for all generations of mobile cellular networks. With the emergence of bandwidth hungry applications running on large-screen smart phones, a new focus is evolving for future 5G (Fifth-Generation) and Internet-of-Things (IoT) networks; i.e., efficient traffic control and management. Traffic control is becoming a critical design factor in unavoidably ultra-dense cellular and mixed cellular and non-cellular wireless mobile network scenarios. Ultra-dense networks are to overcome the problem of increasing per-user capacity and spectral efficiency by making cells smaller and bringing base stations closer to mobile hosts. With the emergence of highly delay sensitive applications such as connected vehicles and driverless cars, we need to make sure that while spectrum and energy are used efficiently, traffic load is also controlled well and the network delay is kept at extremely low levels. In this talk therefore, the three factors of power, spectrum, and traffic load will therefore become the basis for an introduction to the critical technologies for facilitating highly reliable, ultra-low latency, and scalable operation of the 5G and IoT networks.
Room 11-17,
Graduate School of Information Science and Technology Building,
Hokkaido University
https://www.ist.hokudai.ac.jp/eng/access/
Kunimasa Saitoh, Professor
Graduate School of Information Science and Technology,
Hokkaido University
Privacy and Trust Issues in Vehicular Networks
Dr. Priyadarsi Nanda
Senior Lecturer
University of Technology Sydney, Sydney, Australia
Adjunct Associate Professor
GI-CoRE, Global Station for Big Data and Cybersecurity (GSB)
Hokkaido University, Sapporo, Japan
Vehicular ad-hoc networks (VANETs) are wireless, DSRC enabled networks where, each vehicle works both as a network node and as a router, thereby facilitating communication between nearby vehicles and standard roadside units (RSU). For decades, these networks have encountered multitudinous security issues. We have targeted to work towards evaluating trustworthiness and data credibility of these participating nodes in vehicular networks. Trust in nodes specially needs to be evaluated when nodes are authenticated. While there exists many decentralized research works, they still rely on a centralized party for disseminating and concealing the reputation information. We aim for complete decentralization using Blockchain, and smart contracts. The former creates an immutable record of transactions that happened amongst the peers, while the later strives to execute a set of instructions upon triggering of an event. We aim to record the messages transmitted (in the form of transactions), as it can be a proven history to ensure non-repudiation and establish reputation of vehicles based on the validity of messages transmitted and the reputation score maintained. The distributed Inter-planetary File System (IPFS) network is the storage and retrieval repository used for sharing and storing the reputation of nodes. In this talk I will present a systematic approach of our current research on critical requirements of trust and reputation evaluation model for Vehicular Network.
TURBO EQUALIZATION; ITS INFORMATION THEORETIC ANALYSIS AND RELATION TO LOSSY FORWARD RELAYING MULTI-TERMINAL SOURCE CODING SYSTEMS
Tad Matsumoto of Japan Advanced Institute of Science and Technology, Japan, and Center for Wireless Communications, University of Oulu
A goal of this talk is to provide the audience with the knowledge about the relationship between relay systems and the Distributed Coding techniques for correlated sources. To achieve this goal, this lecture is started by the re-enforcement of understanding of turbo principle, especially frequency-domain soft cancellation minimum mean square error (FD SC-MMSE) based multiple-input multiple-output (MIMO) turbo equalization. This lecture uses a lot of extrinsic information transfer (EXIT) analysis to reveal the convergence properties of the FD SC-MMSE MIMO equalization, and identifies the optimal, close capacity achieving structure. It is shown that even with very simple serially concatenated convolution code with the component codes being very simple memory one codes can achieve near-capacity performance. Furthermore, the inner code, which is a very simple memory one recursive code, can eliminate the error floor due to the intersection of the EXIT curves, resulting in very sharp shape of the turbo cliff. This lecture also makes comparison of the shape of the EXIT curves with recursive and non-recursive convolutional codes. At the final part of this lecture, we intentional “add” binary errors randomly between the MIMO antennas, and analyses the impacts of the “artificial errors”. It is shown that if the FD SC MMSE equalizer can utilize the error probability to modify the log likelihood ratio (LLR) in the vertical iteration, we can eliminate the effect of the “artificial errors”. The “artificial error” probability can be estimated only at the decoder side (no side information needed). Obviously the “artificial errors” inserted in the connections between the antennas correspond to the “intra-link” errors in distributed lossy forwarding cooperative networks. Therefore, the last part of this lecture is spent for the introduction of Lossy Forward Relaying: Orthogonal and non-Orthogonal cases. 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; We further expand conceptual bases of the lossless (Slepian Wolf) and Lossy (Berger Tung) distributed multi-terminal network design, and provides performance bounds theoretically as well as basic ideas for signal detection algorithms based on the turbo principle.
LOSSY COMMUNICATIONS WITH LOSSY-FORWARD RELAYING AND LOSSY CODING
Lin Wensheng of Japan Advanced Institute of Science and Technology, Japan
(Lecture 3) In the upcoming 5G era, Internet of Things (IoT) will play an important role in smart society for improving the quality of daily life. Different from the traditional internet, the major task of some IoT system is to make a judgement followed by some operations based on the estimate of the source. Therefore, lossless transmissions are not necessarily needed in IoT, as long as the system can make correct judgement based on the lossy recoveries. For a relaying system in IoT, it will be more reliable by lossy-forwarding (LF), i.e., the relay still transmits the information even with some errors in the source-relay link. Consequently, we analyze the relationship between the acceptable distortion and link rates for a lossy LF relaying system. To begin with, we derive an inner bound on the achievable rate-distortion region for lossy LF relaying. Then, we focus on the analysis of outage probability over block Rayleigh fading channels. Finally, a practical encoding/decoding scheme is proposed for the evaluation of system performance by simulations. Although the theoretical performance cannot be achieved in the simulation due to the suboptimal coding scheme, the tendency of curves in simulations matches that in theoretical calculation, i.e., the outage probability decreases by adding an LF relay and/or accepting larger distortion. (Lecture 4) Practical scheme design for lossy source coding with discrete memoryless source is a challenge work, because it is difficult to minimize the distance between the sequence and the codeword. The theoretically optimal coding scheme, i.e., joint typicality coding, is not suitable for practical implementation due to extremely huge cost of memory for storing codebook. Therefore, we develop a practical source coding scheme, so-called hybrid majority voting (HMV) code, for lossy compression with discrete memoryless source. Based on a special and simplest case of the joint typicality coding scheme, we have found the basic majority voting (MV) code and analyze its rate-distortion performance. Then, we exploit two MV component codes to construct the HMV code, for the purpose of adapting arbitrary compression rate. Moreover, we conclude the methodology for hybrid codes design by utilizing the duality between source coding and channel coding. One of the optimal codes, i.e., the Hamming codes, is exemplified for applying the channel coding scheme into lossy source coding. For further implementation in successive refinement, we need a complement code that completely contains the part of information lost in source coding. Finally, we find bit flipping (BF) code and the syndrome of the Hamming codes as the complement code for the HMV code and the Hamming codes, respectively.
Room 11-17,
Graduate School of Information Science and Technology Building,
Hokkaido University
https://www.ist.hokudai.ac.jp/eng/access/
Takeo Ohgane, Professor
Graduate School of Information Science and Technology,
Hokkaido University
ohgane(at)ist.hokudai.ac.jp
5G MOBILE EDGE COMPUTING: RESEARCH ROADMAP OF THE H2020 5G-CORAL PROJECT
Prof. Ying-Dar Lin, IEEE Fellow of National ChiaoTung University Hsinchu, TAIWAN
5G promises to deliver enhanced mobile broadband (eMBB), massive machine type communication (mMTC), and ultra reliable low latency communication (URLLC). To support mMTC and URLLC, 5G needs to carry out computations closer to subscribers at the "edge" in stead of the cloud, which turns 5G into an infrastructure for both communication and computing. Just like cloud computing, edge computing shall also be virtualized. On the other hand, communication is also being virtualized with software defined networking (SDN) and network function virtualization (NFV) which virtualize control plane and dataplane, respectively. When applied to 5G, together they virtualize functions in access and core networks, and release them to run on any virtualized computing platform. Combining virtualization needs in edge computing and communication, 5G mobile edge computing (MEC) is virtualizing eNB (evolved node B), EPC (evolved packet core), and CO (central office) into VeNB, vEPC, and CORD (central office re-architected as a datacenter). They are not just communication devices any more, but also serve as computing datacenters with many open source resources like OpenDaylight and OpenStack. After streamline the above evolution path, we then introduce 5G-Coral, an H2020EU-TW project with Taiwanese and European partners, including NCTU, ITRI, ADLink, UC3M, Ericsson, InterDigital, Telecom Italia, SICS, Telcaria, and Azcom. We then give an overview of our research roadmap on 5 key components, including service chain routing, multi-RAT off loading, multi-tenant slicing, horizontal and vertical federation, and capacity optimization. Selected results are then presented. Key findings include (1) the 3-tier architecture with edge computing saves about 20.7% capacity cost over the traditional 2-tier architecture, with 70% of capacity allocated to the edges; (2) multi-RAT offloading reduces about 40% capacity cost with a large number of UEs; (3) some usecases in 5G would capture 1.5 to 2.3 times more resource than required if without slicing; (4) the low-latency authentication with MEC reduces over 90% overhead if done with the cloud.
Room R205,
Education Research Building #8,
Muroran Institute of Technology
http://www.muroran-it.ac.jp/facilities.html
Mianxiong Dong, Professor and Advisor to Executive Director
Department of Sciences and Informatics
Muroran Institute of Technology
mx.dong(at)csse.muroran-it.ac.jp
An Overview of Software Defined Networks and My Research Topics
Dr. Justin Lipman, Associate Professor
School of Computing and Communications, University of Technology, Sydney
The rapid rise in Internet traffic and services introduced a tremendous amount of pressure on telecommunication network providers. The rate of progress in Network technologies has been recognized as slow to keep up with the emerging data demands. Consequently, both industry and academia have been working on new solutions for networking technologies, which can provide long terms scalability and extensibility. Software Defined Networking (SDN) is a new framework, which is believed to be the answer to the above need. SDN has already made an impact in Data centers and enterprise networks and it is seen as a key technology to improve performance and extensibility both at core and access side of networking technologies. Consequently, there is a significant demand from the Industry for network engineers with SDN skills. This subject will introduce students to SDN and programming SDN applications. Student will learn the major concepts in SDN, Network Function Virtualization (NFV) and learn the tools needed to develop applications over leading SDN controller (RYU).
Room 11-17,
Graduate School of Information Science and Technology Building,
Hokkaido University
https://www.ist.hokudai.ac.jp/eng/access/
Yoshikazu Miyanaga, Professor
Graduate School of Information Science and Technology,
Hokkaido University
miya(at)ist.hokudai.ac.jp
Monday, February 17th, 2020 (4:00 p.m. - 6:00 p.m.)
Room 11-17,
Faculty of Information Science and Technology Building,
Hokkaido University
https://www.ist.hokudai.ac.jp/eng/access/
2020 Annual Meeting will be jointly held with the 1st Executive Committee Meeting. In the Annual Meeting, 2019 Sapporo Section Student Awards Ceremony will also be taken place. After the meetings and ceremony, we are planning to have a party for celebrating the award winners and new officers.
Sunday, November 10th, 2019 (12:15 p.m. - 13:15 p.m)
Room N307,
Building N: Education Research Building #3,
Muroran Institute of Technology
http://www.muroran-it.ac.jp/facilities.html
Thursday, February 7th, 2019 (5:00 p.m. - 6:00 p.m.)
Room 5-08,
Graduate School of Information Science and Technology Building,
Hokkaido University
https://www.ist.hokudai.ac.jp/eng/access/
2019 Annual Meeting will be jointly held with the 1st Executive Committee Meeting. In the Annual Meeting, 2018 Sapporo Section Student Awards Ceremony will also be taken place. After the meetings and ceremony, we are planning to have a party for celebrating the award winners and new officers.
Jianwen Xu, Muroran Institute of Technology
Jianwen Xu, Kaoru Ota, Mianxiong Dong, "Real-Time Awareness Scheduling for Multimedia Big Data Oriented In-Memory Computing," IEEE Internet of Things Journal, vol. 5, no. 5, pp. 3464-3473, October 2018.
Keisuke Maeda, Hokkaido University
K. Maeda, S. Takahashi, T. Ogawa, and M. Haseyama, "Estimation of Deterioration Levels of Transmission Towers via Deep Learning Maximizing Canonical Correlation Between Heterogeneous Features," IEEE Journal of Selected Topics in Signal Processing, vol. 12, no. 4, pp. 633-644 2018.
Shohei Kawai, Muroran Institute of Technology
S. Kawai, A. Iguchi, and Y. Tsuji, "Study on high precision and stable finite element beam propagation method based on incomplete third order hybrid edge/nodal element," IEEE/OSA Journal of Lightwave Technology, Vol. 36, No. 11, pp. 2278-2285, June 2018.
Akino Koda, Muroran Institute of Technology
A. Koda, K. Morimoto, and Y. Tsuji, "A study on topology optimization of plasmonic waveguide devices using function expansion method and evolutionary approach," IEEE/OSA Journal of Lightwave Technology, Vol. 37, No. 3, pp. 981-988, Feb. 2019.
Yusuke Sawada, Hokkaido University
Y. Sawada, T. Sato, T. Fujisawa, and K. Saitoh, “Development of the wavefront matching method based on the 3-D finite-element method and its application to Si-wire mode converters”, IEEE/OSA Journal of Lightwave Technology, vol. 36, no. 17, pp. 3652–3659, Sept. 2018.
Keita Sakakibara, Hokkaido University
Development of Novel 70GHz Band Exposure Equipment System for Studies on Thermal Perception Thresholds of Biological Effects Exposed to Millimeter-Wave
Kazuki Nunokawa, Muroran Institute of Technology
Robustness for fingertip tracking with degraded image using Ranking Orientation Features with Bag-of-Features
Tatsuhiro Akiyama, Muroran Institute of Technology
A Method for Boat Type Classification Using Multimodal Learning
Takeshi Sato, Hokkaido University
Temporal variation of the electron velocity distribution under AC electric and DC magnetic fields
Yukito Okubo, Muroran Institute of Technology
High-temperature and high-ressure synthesis of Cu2-xS nanoparticles using thiolate
Yuya Moroto, Hokkaido University
A Note on Emotion Estimation Based on Sparse Bayesian Learning Considering Time Change of Visual Attention
Naoki Ogawa, Hokkaido University
A Note on Visualizing Attention Map of CNN Based on Grad-CAM++
Saya Takada, Hokkaido University
A Note on Regions of Visual Cortex Used for Reconstruction of Images from fMRI data
Yurina Kano, Muroran Institute of Technology
A Study on Membership Function of Multiple Hypothetical Fuzzy Model for Handwritten Figure Recognition
Gege Wang, Hokkaido University
Prediction of Fun of Japanese Puns using Support Vector Machine
IEEE Sapporo Section Secretary/Treasurer
Toshihiko Nishimura
Hokkaido University
Graduate School of Information Science and Technology,
Nishi 9, Kita 14, Kita-ku, Sapporo, Hokkaido 060-0814, JAPAN
Tel: +81-11-706-7396
nishim(at)ist.hokudai.ac.jp