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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 20 of 24  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
EA, US
(Joint)
2022-12-22
16:50
Hiroshima Satellite Campus Hiroshima [Poster Presentation] Effect of electrode area on kt2 extraction methods from piezoelectric film/substrate structure
Ryo Seki, Yuki Shimizu, Keita Kondo, Takahiko Yanagitani (Waseda Univ) US2022-63
Electromechanical coupling coefficient (kt2) is one of the important parameters to determine the performance of BAW devi... [more] US2022-63
pp.68-73
SIS 2022-12-05
14:50
Osaka
(Primary: On-site, Secondary: Online)
A Method of Automatic Wall Detection from Room Images by Deep Neural Networks
Shunya Shimegi, Kaoru Arakawa (Meiji Univ.) SIS2022-27
In order to design interior renovation easily,a method of automatic wall area detection is proposed using deep neural ne... [more] SIS2022-27
pp.21-25
PRMU 2020-10-09
15:00
Online Online Investigation of Kumamoto Castle ISHIGAKI Region Extraction Using Stone Features and Shape Evaluation
Yuuki Yamasaki, Masahiro Migita, Go Koutaki, Masashi Toda (Kumamoto Univ.), Tsuyoshi Kishigami (TOPPAN) PRMU2020-28
We are developing a stone wall collation system to efficiently repair the stone wall of Kumamoto Castle, and it is neces... [more] PRMU2020-28
pp.56-61
PRMU, IPSJ-CVIM 2020-03-17
09:30
Kyoto
(Cancelled but technical report was issued)
Object area extraction with biased training data set
Ryo Nakamura, Yoshiaki Ueda, Jun Fujiki, Masaru Tanaka (Fukuoka Univ) PRMU2019-88
In order to extract an object region using machine learning, it is necessary to give a teacher label to each pixel. Prov... [more] PRMU2019-88
pp.115-119
EMCJ, MICT
(Joint)
2020-03-13
11:00
Tokyo Kikai-Shinko-Kaikan Bldg.
(Cancelled but technical report was issued)
Human motion classification by convolutional neural network using signal strength of WBAN
Shintaro Sano, Aoyagi Takahiro (TokyoTech) MICT2019-53
In this report, human motion classification by convolutional neural networks (CNNs) using the signal strength of WBANs (W... [more] MICT2019-53
pp.5-9
RISING
(2nd)
2019-11-26
14:10
Tokyo Fukutake Learning Theater, Hongo Campus, Univ. Tokyo [Invited Lecture] Reliable and Low-Energy Wireless Body Area Network by Machine Learning -- Transmission Power Control based on Human Motion Classification using Features Automatically Extracted From Signal Strength --
Shintaro Sano, Takahiro Aoyagi (Tokyo Tech)
In wireless body area networks (WBANs), both high reliability and low power consumption are required. Our research group... [more]
ITS, IE, ITE-MMS, ITE-HI, ITE-ME, ITE-AIT [detail] 2019-02-20
09:15
Hokkaido Hokkaido Univ. Street Gutter Extraction Focusing on Boundaries Between Road and Street Gutter
Masataka Kudou, Hiroki Takahashi (UEC) ITS2018-72 IE2018-93
Research on automatic driving and driving assistance has been greatly advanced all over the world in recent years. In th... [more] ITS2018-72 IE2018-93
pp.135-140
PN, EMT, OPE, EST, MWP, LQE, IEE-EMT [detail] 2019-01-18
11:40
Osaka Osaka University Nakanoshima Center Fabrication and characterization of InP/InAsP/InP heterostructure nanowire LEDs
Tomoya Akamatsu, Hiroki Kameda, Masahiro Sasaki, Katsuhiro Tomioka, Junichi Motohisa (Hokkaido Univ.) PN2018-77 EMT2018-111 OPE2018-186 LQE2018-196 EST2018-124 MWP2018-95
Semiconductor nanowires (NWs), which have nanoscale footprints, enables us to realize variety of quantum structures with... [more] PN2018-77 EMT2018-111 OPE2018-186 LQE2018-196 EST2018-124 MWP2018-95
pp.247-250
AI 2018-07-02
15:25
Hokkaido   Detection of Abnormal Behavior Based on Driver Area of In-Car Movie by Deep Learning
Ryo Kidoguchi, Soichiro Yokoyama, Tomohisa Yamashita, Hidenori Kawamura (Hokkaido Univ.) AI2018-10
Recently, due to frequent occurrence of accidents caused by abnormal behaviors of bus and truck drivers, efforts are bei... [more] AI2018-10
pp.53-59
MBE, NC
(Joint)
2015-12-19
14:25
Aichi Nagoya Institute of Technology Differences of auditory neural responses among cortical fields and layers in the rat auditory cortex
Takeaki Haga, Takashi Tateno, Jun Nishikawa (Hokkaido Univ.) NC2015-49
The auditory cortex has an important role for auditory processing in the brain. Although the auditory cortex has multi l... [more] NC2015-49
pp.19-24
SIS 2015-12-04
11:20
Fukui Matsuya-sensen (Awara city, Fukui) Image Shrinking Based Computational Cost Reduction of Moving Area Extraction Using Global Motion Estimation with KLT Tracker and Background Subtraction
Shingo Kokami, Takashi Imagawa, Hiroshi Tsutsui, Yoshikazu Miyanaga (Hokkaido Univ.) SIS2015-46
This paper proposes a computational cost reduction method for moving area
extraction using global motion estimation wit... [more]
SIS2015-46
pp.95-98
NLC, IPSJ-NL, SP, IPSJ-SLP
(Joint) [detail]
2015-12-02
16:30
Aichi Nagoya Inst of Tech. Evaluation of estimation accuracy of vocal tract shape by using FDTD simulation in extraction method of vocal tract area function
Takaaki Kondo, Hideki Banno, Kensaku Asahi (Meijo Univ.) SP2015-78
We investigated estimation accuracy of vocal tract shape in extraction method of vocal tract area function (VTAF). We co... [more] SP2015-78
pp.61-63
LOIS 2015-03-05
16:00
Okinawa   Living area extraction using staying places and routes
Yuji Matsuo, Sunao Hara, Masanobu Abe (Okayama Univ) LOIS2014-74
In these days, demands for watching out for the safety of elderly and children are extremely increasing. To make the qua... [more] LOIS2014-74
pp.77-82
MI 2015-03-02
13:40
Okinawa Hotel Miyahira A method to extract fibrosis area from HE-stained liver specimens using the superpixel
Masahiro Ishikawa (Saitama Med Univ.), Ryota Kudo, Hiroshi Kanazawa, Masahiro Yamaguchi (Tokyo Tech), Hideki Komagata, Naoki Kobayashi (Saitama Med Univ.), Yoshiko Yamashita, Tomoharu Kiyuna (NEC), Tokiya Abe, Akinori Hashiguchi, Michiie Sakamoto (Keio Univ) MI2014-75
In the diagnosis of hepatocellular carcinoma(HCC) by HE-stained liver pathological specimens, the structure of hepatic c... [more] MI2014-75
pp.105-108
SIP, RCS 2015-01-23
08:50
Okayama Okayama Univ. A development of automatic discrimination system of hair on the wet towel using FPGA
Daiki Sakurada, Ryosuke Tanaka, Yosuke Sugiura, Naoyuki Aikawa (TUS) SIP2014-99 RCS2014-287
In the recycle factory of wet towel, the inspections of dirty marks, rifts, alien substances such as the piece of metal ... [more] SIP2014-99 RCS2014-287
pp.109-112
SP, ASJ-H 2014-10-23
14:00
Wakayama Nanki Shirahama Onsen Hotel Seamore A study on improvement method of voice quality of nasal speech based on vocal tract area function for a speech analysis and synthesis system
Shouhei Makino, Hideki Banno, Kensaku Asahi (Meijo Univ.) SP2014-77
We are analyzing nasal speech for the purpose of improving voice quality by using a speech analysis and synthesis system... [more] SP2014-77
pp.23-24
SANE 2014-10-23
14:00
Overseas Ramada Plaza Melaka, Malacca, Malaysia Combination of Least Squares and NCC Methods on Matching Technique for 3D Information Extraction in Urban Area
Yeji Kim, Yongil Kim (Seoul National Univ.) SANE2014-84
Matching technique for 3D information extraction using stereo satellite images requires matching on tall buildings and c... [more] SANE2014-84
pp.113-116
HCGSYMPO
(2nd)
2012-12-10
- 2012-12-12
Kumamoto Kumamoto-Shintoshin-plaza Tabletop System to Identify the User Position by Infrared Image Recognition
Shota Suto, Susumu Shibusawa (Ibaraki Univ.)
Tabletop system is a face-to-face system to support cooperative work. Many tabletop systems use sensor devices installed... [more]
HIP 2011-02-22
15:40
Okinawa Okinawa International Univ. Extraction of finger nail area from hand image
Kiyoshi Hoshino, Shigeyuki Komi, Noriaki Fujishima (Univ. Tsukuba) HIP2010-95
We introduce a technique which extracts finger nail areas from a hand image at high speed and high accuracy, for the pur... [more] HIP2010-95
pp.87-90
SP 2010-11-18
11:30
Aichi Aichi Prefectural Univ. Development of Plugins for ImageJ for Extracting Vocal Tract Area Function
Tomonori Narishige, Tatsuya Kitamura (Konan Univ.) SP2010-71
We are developing plugins for an image processing software ImageJ, which is an open source software and in public domain... [more] SP2010-71
pp.13-16
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