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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 20 of 96  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
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
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
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
SANE 2018-10-12
11:20
Tokyo The University of Electro-Communications Evaluation of Characteristics of Recursive Signal Subtraction Frequency Estimation Method and Consideration of Application to Stepped Multiple Frequency CPC
Kazuki Yamaguchi, Kazuhiro Watanabe, Manabu Akita, Takayuki Inaba (UEC) SANE2018-48
Authors have proposed a multi-frequency step CPC(complementary phase code) method that can obtain high range resolution ... [more] SANE2018-48
pp.23-28
IT 2018-07-19
13:40
Nara Yamato Kaigishitsu Estimation of The Number of Users by Backoff and Collision Information on WLAN
Norihiro Matsumoto, Ikuo Oka, Shingo Ata (Osaka City Univ.) IT2018-12
Recently, the number of users using wireless devices is increasing. This causes a transmission rate degradation. To deal... [more] IT2018-12
pp.1-4
MBE, NC
(Joint)
2018-03-13
13:35
Tokyo Kikai-Shinko-Kaikan Bldg. Reconstruction Accuracy of X-ray Computed Tomography Considering Scattered X-rays
Daichi Nagae, Naohiro Toda (Aichi Pref. Univ.) MBE2017-84
In reconstruction of X-ray computed tomography (CT), although scattered X-rays contain information on objects, they have... [more] MBE2017-84
pp.25-28
RCS, SR, SRW
(Joint)
2018-02-28
10:30
Kanagawa YRP Study on maximum likelihood detection of uplink MIMO-FSK with channel estimation
Kazuki Yoshida, Yasunori Iwanami (N.I.T.) RCS2017-329
FSK signal has a constant envelope and is suited to the non-linear amplification with high power efficiency. This featur... [more] RCS2017-329
pp.69-74
RCC 2018-01-25
16:45
Tokyo Japan Society for the Promotion of Machine Industry A Maximum Likelihood Estimation-Based Clock Synchronization Method for Multiple Moving Objects
Kosuke Matsui, Shinsuke Hara (Osaka City Univ.) RCC2017-106
In order to synchronize clocks between objects, a method based on the principle of Two Way Ranging (TWR) is used in NTP(... [more] RCC2017-106
pp.31-35
SIP, IT, RCS 2018-01-22
15:45
Kagawa Sunport Hall Takamatsu A Study on Multi-dimensional Localization with Bluetooth Low Energy Beacon for Indoor Environments
Hiroyuki Torii, Shinsuke Ibi, Seiich Sampei (Osaka Univ.) IT2017-81 SIP2017-89 RCS2017-295
This paper proposes an indoor localization method based on fingerprint using Received Signal Strength Indicator (RSSI) o... [more] IT2017-81 SIP2017-89 RCS2017-295
pp.155-160
RCS, NS
(Joint)
2017-12-15
13:40
Hiroshima Aster Plaza Investigation of Estimation Method for DoS Attack Traffic Based on Reception Failure Terminal on ALOHA with Successive Interference Cancellation
Yukito Sato, Yuichi Miyaji, Hideyuki Uehara (Toyohashi Univ. of Technology) RCS2017-264
Contention Resolution Diversity Slotted ALOHA (CRDSA) protocol is a one of Media Access Control (MAC) protocol of random... [more] RCS2017-264
pp.77-82
HCGSYMPO
(2nd)
2017-12-13
- 2017-12-15
Ishikawa THE KANAZAWA THEATRE Stride change on Footpad-type Locomotion Interface by using maximum likelihood estimation method
Sakashita Fumiya, Shibuya Takeshi, Yano Hiroaki (Tsukuba Univ)
In this research, we proposed a foot-pad type locomotion interface in the field of virtual reality with the force sensor... [more]
IBISML 2017-11-10
13:00
Tokyo Univ. of Tokyo [Poster Presentation] Effect of maximum likelihood estimation after L1 regularization in learning of log-linear models
Kazuya Takabatake, Shotaro Akaho (AIST) IBISML2017-86
$L_1$ regularization has two functions.
One function is the structure learning by parameter reduction, and another func... [more]
IBISML2017-86
pp.369-375
US 2017-06-27
14:20
Tokyo   Estimation of transmit-receive response and its application to method for improvement of range spatial resolution
Michiya Mozumi, Hideyuki Hasegawa (Univ. of Toyama) US2017-23
The range spatial resolution is one of the elements which is related to an image quality in the ultrasonic imaging. We d... [more] US2017-23
pp.13-17
RCS, SR, SRW
(Joint)
2017-03-01
09:50
Tokyo Tokyo Institute of Technology A Study of Transmission Performance Improvement of OFDM-Based Optical Wireless Communications
Tadao Nakagawa, Kikuo Fujimura (Tottori Univ.) SRW2016-70
Current optical wireless communications systems use intensity modulation / direct detection (IM/DD), thus the baseband s... [more] SRW2016-70
pp.13-16
RCS, CCS, SR, SRW
(Joint)
2016-03-02
17:45
Tokyo Tokyo Institute of Technology Soft-Decision-Aided Joint Maximum-Likelihood Estimation of Signal Power and Noise Spectral Density Over AWGN Channels
Yohei Shibata (Keio Univ.), Haifeng Yuan (NUS), Tomoaki Ohtsuki, Pooi Yuen Kam (Keio Univ.), Jun Mashino (NTT) RCS2015-350
The estimation of signal power and noise spectral density is a fundamental problem in communication theory, which is con... [more] RCS2015-350
pp.103-108
R 2015-12-18
13:55
Tokyo   Nonparametric Estimation Method for Trend Renewal Process Based on Failure Rate Function
Yasuhiro Saito, Tadashi Dohi (Hiroshima Univ.) R2015-62
Trend renewal process has some features of non-homogeneous Poisson process and renewal process, and can be used as a sto... [more] R2015-62
pp.7-12
 Results 1 - 20 of 96  /  [Next]  
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