Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
CQ |
2018-08-23 16:30 |
Shiga |
Ritsumeikan Univ. Biwako-Kusatsu Campus (BKC) |
[Invited Talk]
A predictive control method for a remote control system through a network with delay fluctuation Hiroshi Yoshida, Shinya Yasuda, Taichi Kumagai (NEC Corp.) CQ2018-50 |
Under the concept of Internet of Things (IoT), various machines are beginning to be controlled remotely through the Inte... [more] |
CQ2018-50 pp.23-27 |
IN, CCS (Joint) |
2018-08-02 09:00 |
Hokkaido |
Kitayuzawa Mori-no-Soraniwa |
Consideration on structural property for robust discrimination against structure defects in Liquid State Machine Yuta Okumura, Naoki Wakamiya (Osaka Univ.) CCS2018-27 |
Recent development of measurement technology reveals that functional and structural networks of brains called “connectom... [more] |
CCS2018-27 pp.9-12 |
QIT (2nd) |
2018-06-04 14:50 |
Hiroshima |
ICCH Ran |
[Invited Talk]
Physics of Quantum-to-Classical Crossover and Quantum Neural Network Yoshihisa Yamamoto (JST/Stanford Univ.) |
This paper will discuss the novel quantum computing model, dissipative quantum computation, and the physical implementat... [more] |
|
LOIS |
2018-03-01 10:00 |
Okinawa |
Naha-City IT Souzoukan(Okinawa) |
A Method of Automatic Training Data Collection for Office Worker Seated-State using Machine Learning Daisuke Ikeda, Yukihiro Tsuboshita, Takeshi Onishi (Fuji Xerox) LOIS2017-71 |
Nowadays, approximately 75% of all employees in industrial countries are required to work in a seated position. Accordin... [more] |
LOIS2017-71 pp.1-5 |
DC |
2018-02-20 11:40 |
Tokyo |
Kikai-Shinko-Kaikan Bldg. |
A test generation method based on k-cycle testing for finite state machines Yuya Kinoshita, Toshinori Hosokawa (Nihon Univ.), Hideo Fujiwara (Osaka Gakuin Univ.) DC2017-81 |
Recent advances in semiconductor technologies have resulted in VLSI circuit density and complexity. As a result, efficie... [more] |
DC2017-81 pp.25-30 |
LOIS, ISEC, SITE |
2017-11-10 11:00 |
Kyoto |
|
Estimation of Office Worker Seated-State with Ambient Sensors Daisuke Ikeda, Yukihiro Tsuboshita, Takeshi Onishi (Fuji Xerox) ISEC2017-63 SITE2017-45 LOIS2017-40 |
Nowadays, approximately 75% of all employees in industrial countries are required to work in a seated position. Long-ter... [more] |
ISEC2017-63 SITE2017-45 LOIS2017-40 pp.87-91 |
IBISML |
2017-11-10 13:00 |
Tokyo |
Univ. of Tokyo |
[Poster Presentation]
Multi-Task Learning with Positive and Unlabeled Data and Its Application to Mental State Prediction Hirotaka Kaji, Hayato Yamaguchi (Toyota Motor), Masashi Sugiyama (RIKEN/UTokyo) IBISML2017-66 |
In real-world machine learning applications, we are often faced with a situation where only a small number of training s... [more] |
IBISML2017-66 pp.235-242 |
KBSE |
2017-09-19 12:35 |
Tokyo |
Doshisha Univ. Tokyo Branch Office |
A load balancing mechanism using shared state for tree processing in actor model Kouhei Sakurai (Kanazawa Univ.) KBSE2017-21 |
For machine learning and data mining, there are methods that deal with tree structure, and also their parallelization an... [more] |
KBSE2017-21 pp.1-6 |
CCS |
2017-08-11 10:30 |
Hokkaido |
Bibai Onsen Yu-rinkan |
Consideration on separation property of impulse wireless sensor networks Daito Kamei, Naoki Wakamiya (Osaka univ.) CCS2017-15 |
In order to solve the problem of device cost and power consumption in wireless sensor networks, we have proposed new sen... [more] |
CCS2017-15 pp.31-36 |
AP (2nd) |
2017-01-26 - 2017-01-27 |
Overseas |
Malaysia-Japan International Institute of Technology (MJIIT) |
EFFECT OF ELECTRON IRRADIATION ON SUPERCONDUCTING PROPERTIES OF MICRO SIZE MAGNESIUM OXIDE ADDED Bi.Pb-2223 SUPERCONDUCTOR Md Joherul Alam, Mohammad Tarqul Islam (UKM) |
Superconductivity is an entrancing and testing field of material science. Researchers and scientists all through the wor... [more] |
|
KBSE |
2017-01-23 12:35 |
Tokyo |
Kikai-Shinko-Kaikan Bldg. |
SMart-Learning: An Extension of Tools for DSL-based UML State Machine Diagram Learning
-- Simulation for Multiple Instances -- Shinpei Ogata, Kozo Okano, Mizue Kayama (Shinshu Univ.) KBSE2016-31 |
We have actualized SMart-Learning that is a tool set to learn a state machine diagram employing domain specific language... [more] |
KBSE2016-31 pp.1-6 |
KBSE |
2017-01-23 13:20 |
Tokyo |
Kikai-Shinko-Kaikan Bldg. |
Consideration of the effectiveness for error detection function about conceptual modeling education with state machine diagram made by beginners Masaki Tajima, Mizue Kayama, Shinpei Ogata, Masami Hashimoto (Shinshu Univ.) KBSE2016-32 |
The purpose of this study is to explore the suitable learning environment for conceptual modeling with UML. Our students... [more] |
KBSE2016-32 pp.7-12 |
IBISML |
2016-11-17 14:00 |
Kyoto |
Kyoto Univ. |
An Exhaustive Search with Support Vector Machine (ES-SVM) for sparse variable selection Daiki Kawabata (UTokyo), Hiroko Ichikawa (TUS), Yasuhiko Igarashi (UTokyo), Kenji Nagata (AIST/JST/UTokyo), Satoshi Eifuku, Ryoi Tamura (Toyama Univ.), Masato Okada (UTokyo) IBISML2016-96 |
Nagata et al.(2015) has proposed Exhaustive Search with Support Vector Machine(ES-SVM) which calculates a cross validati... [more] |
IBISML2016-96 pp.361-368 |
KBSE, SS, IPSJ-SE [detail] |
2016-07-13 15:10 |
Hokkaido |
|
SMart-Learning: Tools for DSL-based UML State Machine Diagram Learning Shinpei Ogata, Kozo Okano (Shinshu Univ.) SS2016-5 KBSE2016-11 |
State machine diagram learning has been important depending on increasing demand for IoT or embedded systems. One of the... [more] |
SS2016-5 KBSE2016-11 pp.49-54 |
NC, IPSJ-BIO, IBISML, IPSJ-MPS [detail] |
2016-07-05 16:00 |
Okinawa |
Okinawa Institute of Science and Technology |
A neuromarker of anxiety from whole-brain functional connectivity. Yu Takagi (NAIST/ATR), Yuki Sakai (Kyoto Pref. Univ. Med./ATR), Saori C. Tanaka (ATR) NC2016-6 |
There are times when an anxiety drives us to make an effort to achieve our goal and times when it may also harm our dail... [more] |
NC2016-6 pp.159-164 |
MBE, NC (Joint) |
2016-05-21 13:50 |
Toyama |
University of Toyama |
High-Sensitive Imaging of Motor Cortex Activity Using Cortical Current Source Estimation Shuka Shibusawa, Shohei Tsuchimoto, Shoko Kasuga, Kenji Kato (Keio Univ.), Emi Yamada, Hiroki Ebata (Saiseikai), Meigen Liu, Junichi Ushiba (Keio Univ.) NC2016-3 |
Electroencephalography (EEG) is often used for Brain-Machine Interface (BMI) rehabilitation, which aims to restoring mo... [more] |
NC2016-3 pp.11-16 |
SS, MSS |
2016-01-25 10:20 |
Ishikawa |
Shiinoki-Geihin-Kan |
Choreography Realization by Re-constructible Decomposition of Acyclic Relations
-- A Study on Synthesizing Pareto Optimal State Machines -- Toshiyuki Miyamoto (Osaka Univ.) MSS2015-37 SS2015-46 |
For a service-oriented architecture based system, the problem of synthesizing a concrete model, i.e., behavioral model,... [more] |
MSS2015-37 SS2015-46 pp.13-18 |
CCS |
2015-11-10 15:50 |
Kyoto |
Inamori Foundation Memorial Building, Kyoto Univ. |
The Memory Capacity of a Physical Liquid State Machine Kohei Nakajima, Toshio Aoyagi (Kyoto Univ.) CCS2015-65 |
When a fluid layer with a free surface is subjected to vertical oscillation, Faraday waves can be observed. Due to their... [more] |
CCS2015-65 pp.109-112 |
MSS, CAS, SIP, VLD |
2015-06-17 09:45 |
Hokkaido |
Otaru University of Commerce |
Choreography Realization by Re-constructible Decomposition of Acyclic Relations Toshiyuki Miyamoto (Osaka Univ.) CAS2015-2 VLD2015-9 SIP2015-33 MSS2015-2 |
For a service-oriented architecture based system, the problem of synthesizing a concrete model, i.e., behavioral model,... [more] |
CAS2015-2 VLD2015-9 SIP2015-33 MSS2015-2 pp.7-12 |
SIP, EA, SP |
2015-03-03 09:00 |
Okinawa |
|
[Poster Presentation]
Asynchronous brain-computer interfacing using canonical correlation analysis in phase space Kaori Suefusa, Toshihisa Tanaka (Tokyo Univ. of Agriculture and Tech.) EA2014-100 SIP2014-141 SP2014-163 |
Brain--computer interfaces (BCIs) can be categorized into two types by its operational protocol: synchronous BCI and asy... [more] |
EA2014-100 SIP2014-141 SP2014-163 pp.151-156 |