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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 21 - 40 of 93 [Previous]  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
ITS, WBS, RCC 2017-12-15
14:55
Okinawa Tiruru/Okinawa Jichikaikan Empirical Study on Dynamic Digital Map Using Multiple Sensors
Yuta Akiyoshi, Kazuaki Shimoda, Shogo Kozaki, Hiumi Tomokiyo, Kazuki Yamanaka, Keiji Jimi (Univ. of Kitakyushu), Isamu Matsunami (Kitakyushu Univ.) WBS2017-81 ITS2017-58 RCC2017-97
In order to realize autonomous car, it is necessary to improve the accuracy of "target recognition" technology and dynam... [more] WBS2017-81 ITS2017-58 RCC2017-97
pp.263-268
SDM 2017-10-25
16:00
Miyagi Niche, Tohoku Univ. Nanoscale conformal doping technology by spin on diffusion source
Tetsuro Kinoshita, Shunichi Mashita, Takuya Ohashi, Yoshihiro Sawada, Yohei Kinoshita, Satoshi Fujimura (TOK) SDM2017-53
We developed a coating material which can form nanoscale conformal film on the wafer with 3D structure. In this study, c... [more] SDM2017-53
pp.21-24
ED 2017-08-10
09:15
Tokyo Kikai-Shinko-Kaikan Bldg. Bio-image sensor for multi-detection of ATP, ACh, and hydrogen ion -- Enhanced discrimination by hydrogen ion diffusion-barrier layers --
You-Na Lee, Tomoko Horio, Koichi Okumura, Tatsuya Iwata, Kazuhiro Takahashi, Kazuaki Sawada (TUT) ED2017-33
In our previous work, we reported a bio-image sensor for multi-detection of neurotransmitters such as adenosine triphosp... [more] ED2017-33
pp.33-36
SANE 2017-05-22
13:15
Tokyo Kikai-Shinko-Kaikan Bldg. Bias Estimation for Decentralized Sensor Fusion -- Multi-Agent Based Bias Estimation Method --
Hidetoshi Furukawa (Toshiba) SANE2017-7
In multi-sensor data fusion (or sensor fusion), sensor biases (or offsets) often affect the accuracy of the correlation ... [more] SANE2017-7
pp.35-40
HPB
(2nd)
2017-02-22
14:25
Tokyo   PDR with Fusion of Sensor Data and Camera Images
Takuro Negishi, Satoru Fujita (Hosei Univ.)
The pedestrian dead reckoning (PDR), which is one of the solutions for extending the positioning services, estimates ind... [more]
SANE 2017-01-26
11:20
Nagasaki Nagasaki Prefectural Art Museum Studies on Combining Multiple Received Signals of Radar to Detect by Beat Frequency
Hideyuki Awazu, Yasunori Kato, Ryuhei Takahashi, Toru Takahashi, Hirohisa Tasaki (Mitsubishi Electric) SANE2016-98
Detection distance of radar depends on radar transmission power, radar receiver sensitivity, and RCS of target. In this ... [more] SANE2016-98
pp.13-18
PRMU, IPSJ-CVIM, MVE [detail] 2017-01-19
15:30
Kyoto   Identifiation PDR sensor user with person taken by RGB-D camera utilizing double support phase of gait
Yoshiki Hashimoto (Kyushu Univ.), Masaki Onishi, Masakatsu Kourogi, Takeshi Kurata (AIST), Atsushi Shimada (Kyushu Univ.), Daisaku Arita (Univ. of Nagasaki), Rin-ichiro Taniguchi (Kyushu Univ.) PRMU2016-133 MVE2016-24
An indoor pedestrian position estimation method is one of the important basic techniques to make novel human-centered se... [more] PRMU2016-133 MVE2016-24
pp.129-134
SANE 2016-11-24
13:30
Overseas National Taipei University of Technology (NTUT) Radar Beam Management Algorithm with Prior Less-Accurate Sensor Information
Tetsutaro Yamada, Yasushi Obata, Tetsuji Harada (Mitsubishi Electric) SANE2016-58
The detection of a target by a search radar using heterogeneous sensors is an important problem. However, optimal beam p... [more] SANE2016-58
pp.37-42
SANE 2016-10-20
15:20
Osaka OIT UMEKITA Knowledge Center Bias Estimation for Distributed Sensor Data Fusion -- Bias Estimation Method Based on Multi-Agent Model --
Hidetoshi Furukawa (Toshiba) SANE2016-41
In multi-sensor data fusion, sensor biases (or offsets) often affect the accuracy of the correlation and integration res... [more] SANE2016-41
pp.13-16
OFT 2016-10-14
09:55
Iwate MALIOS (Morioka City) Development of Low Cost Bridge Monitoring System using Hetero-core Optical Fiber Displacement Sensor
Kazutaka Nara, Shinichi Arai (FEC), Hiroyuki Sasaki, Tetsuya Con (CSJ), kazuhiro Watanabe (Soka Univ) OFT2016-23
A hetero-core optical fiber displacement sensor has a fusion splice structure of a different core, and detects a change ... [more] OFT2016-23
pp.29-33
PRMU, BioX 2016-03-24
10:30
Tokyo   Sensor Fusion Algorithm with Radar and Camera for Fast Target Recognition Using HOG and Machine Learning
Yohei Oishi, Isamu Matsunami, Yasushi Yamazaki (Univ. of Kitakyu) BioX2015-45 PRMU2015-168
Advanced Driver Assistance Systems (ADAS) are systems to help the driver in the driving process. ADAS relies on inputs f... [more] BioX2015-45 PRMU2015-168
pp.25-30
PRMU, CNR 2016-02-21
16:40
Fukuoka   [Special Talk] Cloud Network Robot as an Infrastructure of Services
Masahiro Matsunaga, Wataru Mito (SECOM) PRMU2015-148 CNR2015-49
In response to changing customer needs, SECOM is creating new services in line with three key themes: security, a super-... [more] PRMU2015-148 CNR2015-49
p.89
PRMU, IPSJ-CVIM, MVE [detail] 2016-01-21
11:30
Osaka   Identification between Pedestrian Observed RGB-D camera and PDR User for Pedestrian Position Tracking in an Indoor Environment
Wataru Kihara (Nagaoka Univ. of Tech.), Ryo Kawahata (Kyushu Univ.), Masaki Onishi, Masakatsu Kourogi, Takeshi Kurata (AIST) PRMU2015-115 MVE2015-37
Getting Information of positions and directions of pedestrians indoors is basic technology for providing people with ser... [more] PRMU2015-115 MVE2015-37
pp.31-36
RCS, IT, SIP 2016-01-19
11:50
Osaka Kwansei Gakuin Univ. Osaka Umeda Campus Transmit Power Optimization for Tree Networks Employing Data-fusion in End-nodes
Longfei Zhou, Ikuo Oka, Shingo Ata (Osaka City Univ.) IT2015-83 SIP2015-97 RCS2015-315
In the preceding works on the tree networks composed of binary symmetric channel (BSC),the error probability of majority... [more] IT2015-83 SIP2015-97 RCS2015-315
pp.191-195
CCS 2015-08-06
15:45
Hokkaido Dai-ichi Takimotokan (Noboribetsu, Hokkaido) Almost periodicity frequency arrangement and application to satellite communication system
Isao Nakazawa, Ken Umeno (Kyoto University) CCS2015-33
In the satellite communication that aims at safety and safety ICT in the next generation, the demand of a super-multiacc... [more] CCS2015-33
pp.23-26
RCC, ASN, RCS, NS, SR
(Joint)
2015-07-30
10:30
Nagano JA Naganoken Bldg. [Poster Presentation] Parameter Control Method for Physical Wireless Parameter Conversion Sensor Networks based on Estimated Mixture Distribution
Taiki Nakayama, Takeo Fujii (UEC), Osamu Takyu (Shinshu Univ.), Mai Ohta (Fukuoka Univ.) RCC2015-33 NS2015-53 RCS2015-116 SR2015-34 ASN2015-43
We have proposed a physical wireless parameter conversion method for Wireless Sensor Networks (WSNs). In this method, ea... [more] RCC2015-33 NS2015-53 RCS2015-116 SR2015-34 ASN2015-43
pp.91-96(RCC), pp.95-100(NS), pp.93-98(RCS), pp.109-114(SR), pp.131-136(ASN)
WBS, SAT
(Joint)
2015-05-29
10:05
Tokyo Tokyo City Univ. (Setagaya Campus) Error Probability Analysis for Data fusion of End-Nodes in Tree Networks
Longfei Zhou, Ikuo Oka, Shingo Ata (Osaka City Univ.) SAT2015-7
In the preceding works on the tree networks composed of binary symmetric channel (BSC), the error probability of majorit... [more] SAT2015-7
pp.37-41
OPE, OCS, OFT
(Joint) [detail]
2015-02-19
16:50
Kagoshima   A hetero-core fiber optic nerve tactile sensor for surface shape and hardness discrimination
Hiroshi Yamazaki, Yuya Koyama, Kazuhiro Watanabe (Soka Univ.) OFT2014-71 OPE2014-216
This paper describes a small-size hetero-core fiber optic nerve tactile sensor superior for detecting tactile informatio... [more] OFT2014-71 OPE2014-216
pp.77-80
SANE, SAT
(Joint)
2015-02-18
09:55
Okinawa Okinawaken Shichoson Jichikaikan Distributed Data Fusion with Transmission Selection
Takashi Matsuzaki, Yasushi Obata (Mitsubishi Electric Corp.) SANE2014-129
Distributed Data Fusion (DDF) which uses a plural distributed sensor is widely studied. DDF is effective because DDF has... [more] SANE2014-129
pp.7-12
WBS, ITS
(Joint)
2014-12-18
12:30
Kumamoto Kumamoto University [Poster Presentation] Study of Improvement of Accuracy to Estimate Position for Bicycle by Senser Fusion
Yuki Iwasaki, Kaichi Fujimura, Seiichiro Hangai (Tokyo Univ. of Science) ITS2014-25
In this paper, the sake of building safety driving support system of a bicycle, we examine improvement of accuracy to es... [more] ITS2014-25
pp.31-36
 Results 21 - 40 of 93 [Previous]  /  [Next]  
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