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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| SeMI, IPSJ-DPS, IPSJ-MBL, IPSJ-ITS | 2022-05-27 14:21 |
Okinawa | (Primary: On-site, Secondary: Online) |
Edge system for providing blind zone information to moving vehicles in real time using LIDAR network Jumpei Negishi, Azuma Kenta, Ryoichi Shinkuma (SIT)  SeMI2022-17 |
This report proposes an edge system that extracts mobility blind spot information from streaming data transmitted from L... [more] | SeMI2022-17 pp.79-82 |
| OPE, LQE, OCS | 2022-05-13 13:55 |
Online | Online | [Invited Talk]
Report on OFC2022
-- Optical Network -- Katsuaki Higashimori, Takafumi Tanaka (NTT) OCS2022-3 OPE2022-3 LQE2022-3 |
We report on technology trends in optical networking at OFC2022 (March 6-10, 2022), which was held in a hybrid on-site/v... [more] | OCS2022-3 OPE2022-3 LQE2022-3 pp.10-13 |
| NS, IN (Joint) |
2022-03-11 11:40 |
Online | Online | A Study on Bayesian Spatial and Temporal Modeling Approach to Environmental Feature Inference Using Driving Signals From Vehicles Yukio Ogawa (Muroran-IT), Go Hasegawa (Tohoku Univ.), Masayuki Murata (Osaka Univ.) IN2021-43 |
Connected vehicles become an ambient sensing platform, as a number of different signals that they record become availabl... [more] | IN2021-43 pp.73-78 |
| RCS, SR, SRW (Joint) |
2022-03-03 09:30 |
Online | Online | [Poster Presentation]
A Study on Energy-Efficient Identification of Multiple Sources of Sensing Data for Wireless Sensor Networks Junya Shiraishi, Hiroyuki Yomo (Kansai Univ.) RCS2021-277 SR2021-104 SRW2021-77 |
In this paper, we focus on the wake-up control to identify multiple sources of sensing data spatially spread over a sens... [more] | RCS2021-277 SR2021-104 SRW2021-77 pp.134-139(RCS), pp.92-97(SR), pp.40-45(SRW) |
| PN | 2022-03-01 11:10 |
Online | Online | Shared Backup Path Selection Method in SDM-EON Motoi Kato, Ken-ichi Baba (Kogakuin Univ.) PN2021-55 |
SDM-EON, which is expected to transmit a large amount of communication traffic, has a large impact on link failures. The... [more] | PN2021-55 pp.16-21 |
| PN | 2022-03-01 16:30 |
Online | Online | [Invited Lecture]
Resilient Optical Networks that Adopt Spatially-jointed Flexible Waveband Routing Ryuji Munakata, Yojiro Mori, Hiroshi Hasegawa (Nagoya Univ.) PN2021-65 |
We evaluate resilient space-division multiplexing optical networks that adopt dedicated path protection and spatially-jo... [more] | PN2021-65 pp.65-70 |
| NC, MBE (Joint) |
2021-11-26 15:25 |
Online | Online | Explaining coarse visual processing in the subcortical pathway with convolutional neural networks Chanseok Lim, Mikio Inagaki (Osaka Univ.), Takashi Shinozaki (NICT), Ichiro Fujita (Osaka Univ.) NC2021-28 |
The subcortical pathway for face processing conveys information rapidly but roughly to the amygdala. The fast processing... [more] | NC2021-28 pp.1-6 |
| OFT | 2021-10-14 10:30 |
Online | Online | [Poster Presentation]
World-fastest operation of OCDR without spatial resolution deterioration Tomoya Miyamae, Zhu Guangtao, Takaki Kiyozumi (YNU), Kohei Noda (Tokyo Tech/YNU), Heeyoung Lee (SIT), Kentaro Nakamura (Tokyo Tech), Yosuke Mizuno (YNU) OFT2021-23 |
Recent rapid growth of optical fiber communication has led to a significant demand for health monitoring technology of o... [more] | OFT2021-23 pp.9-12 |
| PN, NS, OCS (Joint) |
2021-06-24 11:35 |
Online | Online | Ultra-wideband and low-loss five-core 1X8 core selective switch Itsuki Urashima, Tsubasa Ishikawa, Takahiro Kodama, Yudai Uchida, Masahiko Jinno (Kagawa Univ.) PN2021-6 |
We design and construct a prototype of a five core 1×8 core selective switch (CSS) employing multi-core fiber collimator... [more] | PN2021-6 pp.13-18 |
| RCS | 2021-06-23 09:50 |
Online | Online | A basic study on signal detection using learned approximate message passing Mari Miyoshi, Wakaba Tsujimoto, Toshihiko Nishimura, Takeo Ohgane, Yasutaka Ogawa, Junichiro Hagiwara, Takanori Sato (Hokkaido Univ.) RCS2021-31 |
Approximate message passing (AMP) is applicable to massive MIMO signal detection and achieves a high detection performan... [more] | RCS2021-31 pp.13-18 |
| RCS | 2021-06-23 16:35 |
Online | Online | A Study on the Behavior of LLR messages in Damped GaBP for Large-scale Signal Detection under a Correlated Channel Daniel Akira Ando, Toshihiko Nishimura, Takeo Ohgane, Yasutaka Ogawa, Junichiro Hagiwara, Takanori Sato (Hokkaido Univ.) RCS2021-45 |
For large-scale signal detection, Gaussian Belief Propagation (GaBP) is known as a method providing a near-optimal perfo... [more] | RCS2021-45 pp.97-102 |
| RCS | 2021-06-24 14:00 |
Online | Online | Performance Improvement Method Using Multiple Photodetectors for an Optical Wireless CDMA System Taiga Kasukabe, Chedlia Ben Naila, Hiraku Okada, Masaaki Katayama (Nagoya Univ.) RCS2021-59 |
In this paper, we consider an indoor optical wireless communication system for data collection, utilizing the asynchrono... [more] | RCS2021-59 pp.180-185 |
| NS | 2021-04-15 15:20 |
Online | Online | [Invited Talk]
Scaling limits of interference fields in spatial stochastic models of ultra-dense wireless networks Naoto Miyoshi (Tokyo Tech) NS2021-8 |
Recently, ultra-dense wireless networks have been attracting attention to cope with the increasing data volume in wirele... [more] | NS2021-8 pp.43-46 |
| PRMU, IPSJ-CVIM | 2021-03-04 10:30 |
Online | Online | Learning Convolutional Neural Networks with Spatial Frequency Loss Naoyuki Ichimura (AIST) PRMU2020-73 |
The pixel-wise L2 and pixel-wise L1 losses have been commonly used to measure the consistency between images in learning... [more] | PRMU2020-73 pp.25-30 |
| EA, US, SP, SIP, IPSJ-SLP [detail] | 2021-03-03 13:05 |
Online | Online | [Invited Talk]
* Masahito Togami (LINE) EA2020-64 SIP2020-95 SP2020-29 |
Recently, deep learning based speech source separation has been evolved rapidly. A neural network (NN) is usually learne... [more] | EA2020-64 SIP2020-95 SP2020-29 pp.27-32 |
| NC, NLP (Joint) |
2021-01-22 14:20 |
Online | Online | Contrast dependent spatial frequency tuning dynamics and its underlying neural mechanisms in the cat area 17 Kazuki Kohara, Seisiro Nitta, Hiroki Tanaka (Kyoto Sangyo Univ.) NC2020-40 |
In order to examine neural mechanisms to form spatial frequency (SF) tunings of area 17 neurons, we recorded extracellul... [more] | NC2020-40 pp.45-48 |
| EA, ASJ-H, EMM | 2020-11-20 11:10 |
Online | Online | [Invited Talk]
*Numerical analysis of elastic vibrations and waves in time domain *Masahiro Sato (*Toyama Univ.) EA2020-32 EMM2020-47 |
I'll tell you about my career of numerical simulation. My center of interests is a transient analysis of solid vibration... [more] | EA2020-32 EMM2020-47 pp.58-61 |
| NS | 2020-05-14 15:10 |
Online | Online | A Query Transfer Method in Cooperation with Different Two Skip Graphs Suitable for Searching Spatially-Autocorrelated Data Yuuki Fujita, Akihiro Fujimoto (Wakayama Univ.), Hideki Tode (Osaka Prefecture Univ.) NS2020-9 |
With the increase of IoT devices, P2P-based IoT platforms have been attracting attention because of their capabilities o... [more] | NS2020-9 pp.1-6 |
| ITE-HI, IE, ITS, ITE-MMS, ITE-ME, ITE-AIT [detail] | 2020-02-27 14:15 |
Hokkaido | Hokkaido Univ. (Cancelled but technical report was issued) |
A note on detection of distress regions in subway tunnels by using U-net based network An Wang, Ren Togo, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ) |
This paper presents an automated distress region detection method using subway tunnel images. We previously proposed a m... [more] | |
| CS, OCS (Joint) |
2020-01-17 10:00 |
Oita | Beppu Housensou Hotel (Oita Pref.) | Feasibility Demonstration of Spatial Channel Networking Using Two Types of Spatial Channel Cross-Connects Based on Sub-Matrix Switch and Core Selective Switch Tsubasa Ishikawa, Takahiro Kodama, Masahiko Jinno (Kagawa Univ.) OCS2019-74 |
We demonstrate the feasibility of spatial channel networking that includes spatial bypassing, spectral grooming, spatia... [more] | OCS2019-74 pp.53-58 |
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