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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| EMT, IEE-EMT | 2023-11-09 10:55 |
Yamaguchi | Kaikyo Messe Shimonoseki | On stabilisation of a finite element method for the diffusion equation using expansion of basis functions and the Hilbert transformation Kazuki Niino, Yusuke Takeuchi (Kyoto Univ)  EMT2023-62 |
This paper proposes a stabilisation method for a finite element method using the Hilbert-type operator for the heat equa... [more] | EMT2023-62 pp.1-5 |
| MI | 2023-07-03 10:00 |
Miyagi | Tohoku Univ. Sakura Hall | HCP data processing by hybrid approach for parameter inference in free water imaging model of diffusion MRI
-- comparison of diffusion tensor computation methods for datasets without b0 image -- Yoshitaka Masutani (Tohoku Univ.), Keigo Yamazaki, Wataru Uchida, Koji Kamagata (Juntendo Univ.), Koh Sasaki (HHC), Shigeki Aoki (Juntendo Univ.) MI2023-7 |
We have proposed a hybrid approach combining synthetic Q-space learning and conventional fitting for parameter estimatio... [more] | MI2023-7 pp.1-2 |
| RISING (3rd) |
2021-11-17 11:00 |
Tokyo | (Primary: On-site, Secondary: Online) |
A study on variable step size diffusion LMS algorithm with deep unfolding Tetsuya Sasaki (Osaka City Univ.), Kazunori Hayashi (Kyoto Univ.) |
In adaptive filtering using a fixed step size LMS (Least-Mean-Square), there is a trade-off between convergence speed an... [more] | |
| RCS, SR, NS, SeMI, RCC (Joint) |
2021-07-14 10:30 |
Online | Online | Deep-Unfolding Aided Optimization of Edge Weights and Step Sizes for Diffusion LMS Algorithm Yuto Nishihata, Koji Ishii (Kagawa Univ.) RCC2021-22 |
This study proposes a deep-unfolding aided parameter setting for a diffusion LMS algorithm. Distributed signal processin... [more] | RCC2021-22 pp.1-6 |
| VLD, DC, CPSY, RECONF, ICD, IE, IPSJ-SLDM, IPSJ-EMB, IPSJ-ARC (Joint) [detail] |
2019-11-14 09:15 |
Ehime | Ehime Prefecture Gender Equality Center | NBTI Model Replicating AC Stress/Recovery from a Single-shot Long-term DC Measurement Takumi Hosaka (Saitama Univ.), Shinichi Nishizawa (Fukuoka Univ.), RYO Kishida (Tokyo Univ. of Science), Takashi Matsumoto (The Univ. of Tokyo), Kazutoshi Kobayashi (Kyoto Institute of Tech.) VLD2019-35 DC2019-59 |
In this paper, simple and compact Negative Bias Temperature Instability (NBTI) model is proposed. The model is based on ... [more] | VLD2019-35 DC2019-59 pp.57-62 |
| NLP | 2017-07-14 13:50 |
Okinawa | Miyako Island Marine Terminal | Amplitude death in a pair of two-dimensional Turing instability media coupled by a diffusive connection Hakui Teki, Keiji Konishi, Naoyuki Hara (Osaka Pref. Univ.) NLP2017-45 |
This report investigates amplitude death in a pair of two-dimensional reaction diffusion models with Turing patterns co... [more] | NLP2017-45 pp.93-97 |
| SIS | 2016-12-08 17:10 |
Hiroshima | Hiroshima City Univ. | [Invited Talk]
MRI measurement of water diffusion in living body and its application for inferring anatomical structures Masutani Yoshitaka (Hiroshima City Univ.) SIS2016-41 |
Diffusion MRI data consists of diffusion-weighted images with several imaging parameters, enables us to infer microstruc... [more] | SIS2016-41 pp.71-72 |
| IA, SITE, IPSJ-IOT [detail] | 2016-03-04 09:45 |
Saga | Nijino-Matsubara Hotel (Karatsu-shi, Saga-prefecture) | On Estimating Message Diffusion Dynamics in Epidemic Broadcasting Yuta Hashimoto, Hiroyuki Ohsaki (Kwansei Gakuin Univ.) SITE2015-70 IA2015-102 |
In this paper, we propose a method for estimating message diffusion dynamics in epidemic broadcasting called DIFER (Diff... [more] | SITE2015-70 IA2015-102 pp.185-190 |
| MBE, NC (Joint) |
2015-12-19 10:25 |
Aichi | Nagoya Institute of Technology | Quantitative evaluation of White matter abnormalities in Schizophrenia based on an Automated Fiber-tracking Method with MR Diffusion Tensor Imaging. Hodaka Miki, Shiho Okuhata (Kyoto Univ), Naohiro Okada, Noriaki Yahata, Kiyoto Kasai (Tokyo Univ), Tetsuo Kobayashi (Kyoto Univ) MBE2015-81 |
【Objective】The number of schizophrenic patients in Japan is around 795 thousand and early detection and treatment would ... [more] | MBE2015-81 pp.107-112 |
| NS | 2015-10-15 13:50 |
Akita | Akita Univ. | Autonomous Clustering Scheme for Removing an Effects of Heterogeneous Node Degree in Ad Hoc Networks Ryosuke Morita (Tokyo Metropolitan Univ.), Chisa Takano (Hiroshima City Univ.), Masaki Aida (Tokyo Metropolitan Univ.) NS2015-93 |
Since ad hoc networks are composed of some wireless terminals with multihop communication, reducing the load of routing ... [more] | NS2015-93 pp.37-42 |
| NC, MBE | 2015-03-17 13:30 |
Tokyo | Tamagawa University | Development of an Automated Fiber-tracking Method using MR Diffusion Tensor Imaging and Parcellation Map Hodaka Miki, Tetsuo Kobayashi (Kyoto Univ) MBE2014-135 NC2014-86 |
【Purpose】Recently, about 1% of peoples around the world suffer schizophrenia, and the number of schizophrenic patients t... [more] | MBE2014-135 NC2014-86 pp.105-110 |
| NC, MBE | 2015-03-17 13:25 |
Tokyo | Tamagawa University | Effects of downsampling on hyperparameter estimation for Markov random field model Hirotaka Sakamoto (Univ. Tokyo), Yoshinori Nakanishi-Ohno (Univ. Tokyo/JSPS), Masato Okada (Univ. Tokyo/RIKEN) MBE2014-174 NC2014-125 |
We investigate effects which downsampling has on latent-variable estimation from image data. Downsampling is essential f... [more] | MBE2014-174 NC2014-125 pp.325-330 |
| IMQ | 2013-05-17 13:55 |
Tokyo | Seikei Univ. | Improvement of Gradation Performance for the HDR Image Quantization with less bits Takeshi Simizu, Naoya Sagara, Kenji Sugiyama (Seikei Univ.) IMQ2013-2 |
Usually, HDR (High Dynamic Range) image needs 16 bit for a pixel. It becomes very useful if 8 bit (1 byte) for a pixel i... [more] | IMQ2013-2 pp.7-12 |
| QIT (2nd) |
2012-11-27 - 2012-11-28 |
Kanagawa | Keio Univ. Hiyoshi Campus | [Poster Presentation]
Phase diffusion between split atomic Bose-Einstein condensate (BEC) Ebubechukwu Ilo-Okeke (NII), Alex Zozulya (Worcester Polytech. Inst.), Tim Byrnes (NII) |
We analyse an interferometric experiment where a cloud of BEC is split into two clouds using laser optical beams, and th... [more] | |
| AN | 2011-07-15 09:45 |
Kyoto | Kyoto Univ. | Improvement of One-phase Pull Diffusion Using Fuzzy Logic Celimuge Wu, Satoshi Ohzahata, Toshihiko Kato (Univ. of Electro-Comm.) AN2011-8 |
In this paper, we consider a wireless sensor network (WSN) for a clinical purpose. Due to the fading feature of wireless... [more] | AN2011-8 pp.1-6 |
| PRMU, IE, MI | 2009-05-29 13:30 |
Gifu | Gifu Univ. | Simulation studies on appropriate imaging parameters for diffusion weighted function MRI Shizue Nagahara, Takenori Oida, Tetsuo Kobayashi (Kyoto Univ.) IE2009-41 PRMU2009-32 MI2009-32 |
Recentry, it has become possible to mesure human brain functions by using noninvasive methods. Among these methods, fun... [more] |
IE2009-41 PRMU2009-32 MI2009-32 pp.175-180 |
| CS, CQ (Joint) |
2008-04-25 11:45 |
Aomori | Hirosaki University | A Stochastic Approach for Deriving the Parameters an Arising out of a Diffusion Model Kentaro Hoshi, Yoshitaka Takahashi, Naohisa Komatsu (Wsseda Univ.) CQ2008-11 |
Diffusion models are frequently and widely applied for performance evaluation of recently developed computer communicati... [more] | CQ2008-11 pp.59-64 |
| OFT, OCS (Joint) |
2007-08-23 15:20 |
Hokkaido | A Study for Image Reconstruction in Time-Resolved Optical Tomography Using FDTD Analysis Kenta Kitano, Takafumi Matsuura, Tadatoshi Tanifuji (Kitami Inst. of Tech.) OFT2007-16 |
Time reduction of image reconstruction in time-resolved diffused optical tomography (TDOT) based on the Finite Differenc... [more] | OFT2007-16 pp.11-14 |
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