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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| R | 2021-06-12 15:50 |
Online | Online (Zoom) | Towards More Accurate Software Bug Prediction: Maximum Likelihood Predictions Daigo Fujimura, Tadashi Dohi, Hiroyuki Okamura (Hiroshima Univ.)  R2021-15 |
In this note, we consider point prediction methods for the number of software bugs decetced in the future with the bug... [more] |
R2021-15 pp.25-30 |
| RCS, SR, SRW (Joint) |
2021-03-03 10:35 |
Online | Online | Non-Orthogonal Multiple Access that allocates subcarriers based on factor graphs Taichi Yamagami, Satoshi Denno, Ahi Ko (Okayama Univ.) SRW2020-52 |
In this paper, we propose a non-orthogonal multiple access in the frequency domain. In the proposed method, multiple use... [more] | SRW2020-52 pp.7-13 |
| NC, MBE (Joint) |
2021-03-03 13:00 |
Online | Online | Reconstruction Accuracy of Dual-Energy X-ray Computed Tomography Introduced Scattered X-rays Measurement Naoya Kondo, Naohiro Toda (APU) MBE2020-38 |
In reconstruction of X-ray computed tomography (CT), scattered X-ray is considered to cause problems such as the occurre... [more] | MBE2020-38 pp.1-6 |
| SIP, IT, RCS | 2021-01-21 11:20 |
Online | Online | A Study on Log Likelihood Ratio for Iterative Detection and Decoding of LoRa Modulation Takuya Mihara, Shinsuke Ibi (Doshisha Univ.), Takumi Takahashi (Osaka Univ.), Hisato Iwai (Doshisha Univ.) IT2020-68 SIP2020-46 RCS2020-159 |
In Internet of things (IoT) devices, low power wide area (LPWA) has been attracting attention, and LoRa modulation is an... [more] | IT2020-68 SIP2020-46 RCS2020-159 pp.28-33 |
| NS, RCS (Joint) |
2020-12-18 14:35 |
Online | Online | People Flow Reconstruction Based on Anonymous Sensor Data toward Smart City Infrastructure for Estimating Infection Route. Kotaro Matsuda, Hiroki Ikeuchi, Yousuke Takahashi, Tsuyoshi Toyono (NTT) NS2020-103 |
The spread of infectious diseases such as COVID-19 incerases the demand for a social infrastructure to estimate the rout... [more] | NS2020-103 pp.85-90 |
| R | 2020-11-30 15:20 |
Online | Online | Stochastic Modeling and Filtering for Reliability Predictions of Degradation Processes Toru Kaise (Univ. of Hyogo) R2020-28 |
Methodologies of reliability analysis using stochastic process models for degradation data are proposed in many referen... [more] |
R2020-28 pp.25-29 |
| CQ, CS (Joint) |
2020-06-25 10:10 |
Online | Online | Performance Evaluation of Wave Source Localization Based on Maximum Likelihood Estimation in NLOS Environments. Shinichi Murata (Koden Electronics), Takahiro Matsuda (Tokyo Metropolitan Univ.), Kentaro Nishimori (Niigata Univ.), Tsutomu Mitsui (Koden Electronics) CQ2020-3 |
In order to mitigate the spectrum scarcity in wireless communication systems such as wireless LAN and mobile cellular sy... [more] | CQ2020-3 pp.13-18 |
| RCS | 2020-06-26 10:50 |
Online | Online | A Study on Iterative Detection and Decoding for LoRa Modulation Takuya Mihara, Shinsuke Ibi (Doshisha Univ.), Takumi Takahashi (Osaka Univ.), Hisato Iwai (Doshisha Univ.) RCS2020-44 |
This paper clarifies derivations of log-likelihood ratios (LLRs), which are the soft decision value output of the LoRa d... [more] | RCS2020-44 pp.127-132 |
| IT, SIP, RCS | 2020-01-24 12:35 |
Hiroshima | Hiroshima City Youth Center | Basic study and numerical evaluations of sensor node index estimation using received power with maximum likelihood method Hiroki Honda, Kazunori Hayashi (Osaka City Univ.), Hiroki Mori (TOSHIBA) IT2019-73 SIP2019-86 RCS2019-303 |
We propose an estimation method of the correspondence between the position of each sensor node and its index (or identif... [more] | IT2019-73 SIP2019-86 RCS2019-303 pp.215-220 |
| RCC, ITS, WBS | 2019-11-06 11:00 |
Nara | Nara Institute of Science and Technology | [Poster Presentation]
A Study on Majority-Decision-based Divisional Maximum Likelihood Decoding for Image Sensor Communication Zhengqiang Tang, Shintaro Arai (Okayama Univ. of Sci.) WBS2019-28 ITS2019-19 RCC2019-59 |
Visible light communication (VLC) using an image sensor as a receiver, referred to as an image sensor communication (ISC... [more] | WBS2019-28 ITS2019-19 RCC2019-59 pp.27-30 |
| WIT, SP | 2019-10-27 09:20 |
Kagoshima | Daiichi Institute of Technology | Word Recognition using word likelihood vector from speech-imagery EEG Satoka Hirata, Yurie Iribe (Aichi Prefectual Univ.), Kentaro Fukai, Kouichi Katsurada (Tokyo Univ. of Science), Tsuneo Nitta (Waseda Univ./Toyohashi Univ. of Tech.) SP2019-29 WIT2019-28 |
Previous research suggests that humans manipulate the machine using their electroencephalogram called BCI （Brain Compute... [more] | SP2019-29 WIT2019-28 pp.69-73 |
| IE, EMM, LOIS, IEE-CMN, ITE-ME, IPSJ-AVM [detail] | 2019-09-19 14:45 |
Niigata | Tokimeito, Niigata University | A study on the optimal acquisition interval for sample and hold signals Ryouichi Nishimura (NICT) LOIS2019-10 IE2019-23 EMM2019-67 |
Micro Electro Mechanical Systems (MEMS) sensors are promising for IoT applications because they are small and available ... [more] | LOIS2019-10 IE2019-23 EMM2019-67 pp.19-24 |
| R | 2019-07-26 14:25 |
Iwate | Ichinoseki Cultural Center | A study on asymptotically unbiased estimators of an FGM copula Shuhei Ota (Kanagawa Univ.), Mitsuhiro Kimura (Hosei Univ.) R2019-15 |
A copula, one of the multivariate distributions, is known as a useful tool for dependence modeling because they can expr... [more] | R2019-15 pp.7-12 |
| ITS | 2019-07-05 13:55 |
Tokyo | Kikai-Shinko-Kaikan Bldg. | Travel Time and Flow Estimation for Multiple Routes based on EM Algorithm
-- Multiple Route Travel Time and Flow Estimation -- Seiya Torimaru, Takayoshi Yokota (Tottori Univ.) ITS2019-3 |
This paper describes a method for estimating multiple routes travel time and traffic volumes by using EM algorithm. ... [more] |
ITS2019-3 pp.13-20 |
| RCS | 2019-06-19 16:35 |
Okinawa | Miyakojima Hirara Port Terminal Building | On Bit LLR Design for Polar-Coded MIMO Spatial Multiplexing System Based on QRD-M Algorithm Shuhei Yamaguchi, Hideki Ochiai (Yokohama National Univ.) RCS2019-61 |
In order to improve bandwidth efficiency of wireless communications systems, MIMO techniques have been extensively studi... [more] | RCS2019-61 pp.143-148 |
| NLP, MSS (Joint) |
2019-03-14 16:10 |
Fukui | Bunkyo Camp., Univ. of Fukui | A study on the probabilistic information processing using a machine learning result Shun Kataoka (OUC) MSS2018-89 |
We consider a framework of the probabilistic information processing utilizing the machine learning result. In probabilis... [more] | MSS2018-89 pp.45-50 |
| RCS, SIP, IT | 2019-02-01 12:05 |
Osaka | Osaka University | Precoder Designs for Downlink GSM-MIMO with K Transmit Antenna Groups Yuwen Cao, Tomoaki Ohtsuki (Keio Univ.) IT2018-59 SIP2018-89 RCS2018-266 |
In this report, we investigate the precoder designs for the downlink generalized spatial modulation (GSM) in multiple-in... [more] | IT2018-59 SIP2018-89 RCS2018-266 pp.139-144 |
| CS, IE, IPSJ-AVM, ITE-BCT [detail] | 2018-11-30 15:15 |
Tokushima | Tokushima University (Memorial Hall of Almuni(Engineering)) | A pedestrian tracking system using ICA and a particle filter Yoshihiro Tomonari, Yukinori Suzuki (Muroran IT) CS2018-86 IE2018-65 |
A pedestrian tracking system has been studied for various systems such as surveillance systems and traffic monitoring sy... [more] | CS2018-86 IE2018-65 pp.117-122 |
| ITE-BCT, OCS, OFT, IEE-CMN [detail] | 2018-11-08 11:30 |
Okayama | Kurashiki-City-Geibunnkan | Statistical Model for Nonlinear Fiber Propagation and Its Application to Nonlinear Compensation for DP-16QAM Optical Signals Shuai Yuan, Koji Igarashi (Osaka Univ.) OCS2018-53 |
In this paper, we investigate the statistical characteristics of nonlinear fiber transmission. With the statistical mode... [more] | OCS2018-53 pp.7-12 |
| IBISML | 2018-11-05 15:10 |
Hokkaido | Hokkaido Citizens Activites Center (Kaderu 2.7) | [Poster Presentation]
Differential Privacy for Likelihood Ratio Test Arashi Haishima (Univ. of Tsukuba), Jun Sakuma (Univ. of Tsukuba/RIKEN) IBISML2018-86 |
Likelihood ratio test of logistic regression commonly used when testing whether an attribute of data significantly influ... [more] | IBISML2018-86 pp.313-320 |
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