Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
IMQ |
2020-12-18 09:15 |
Online |
Online |
Analysis of Scene-Adaptive Tone Mapping Methods Using Deep Learning Hirofumi Sasaki, Keita Hirai (Chiba Univ.) IMQ2020-7 |
Although high dynamic range (HDR) images can reproduce a wide range of colors and brightness, tone mapping is necessary ... [more] |
IMQ2020-7 pp.1-4 |
IE, IMQ, MVE, CQ (Joint) [detail] |
2020-03-05 10:20 |
Fukuoka |
Kyushu Institute of Technology (Cancelled but technical report was issued) |
Preference Analysis for Japanese Sake Evaluation Data Base on Different User Properties Yuki Hashimoto, Tatsuya Yamazaki (Niigata Univ.) CQ2019-138 |
Every year, a contest to evaluate the quality of Sake is held, which is called Zenkoku Shinshu Kanpyokai. Sake experts p... [more] |
CQ2019-138 pp.21-24 |
HCS |
2020-01-26 11:20 |
Oita |
Room407, J:COM HorutoHall OITA (Oita) |
Evaluation of visual preference for cover-front of picture books using Deep Learning Taiga Ishimaru (KAIT), Takashi Hattori, Tessei Kobayashi (NTT), Minoru Mori (KAIT) HCS2019-72 |
(To be available after the conference date) [more] |
HCS2019-72 pp.105-110 |
EID, ITE-IDY, ITE-HI, ITE-3DMT, IEE-OQD, SID-JC [detail] |
2019-10-24 13:30 |
Tokyo |
Kikai-Shinko-Kaikan Bldg. |
Construction of HDR Image Database with Subjective Evaluation Scores for Deep Learning Hirofumi Sasaki, Keita Hirai, Takahiko Horiuchi (Chiba Univ.) EID2019-1 |
For displaying a high dynamic range (HDR) image on a standard monitor, it is necessary to apply a tone mapping method to... [more] |
EID2019-1 pp.5-8 |
EMCJ, MW, EST, IEE-EMC [detail] |
2019-10-25 16:55 |
Miyagi |
Tohoku Gakuin University(Conf. Room 2, Eng. Bldg. 1) |
A Study of Decoupling Capacitor Implementation by PSD Method Using RBF Interpolation for Meta-modeling Masashi Kawakami (Akita Prefectural Univ.), Yoshiki Kayano, Fengchao Xiao (UEC), Teruo Tobana (Akita Prefectural Univ.), Yoshio Kami (UEC), Kohei Akimoto, Yoji Isota (Akita Prefectural Univ.) EMCJ2019-70 MW2019-99 EST2019-78 |
This report newly attempt to propose a multi-objective satisfactory design method, Preference Set-based Design (PSD) to... [more] |
EMCJ2019-70 MW2019-99 EST2019-78 pp.187-191 |
EMCJ |
2019-07-18 15:05 |
Tokyo |
Kikai-Shinko-Kaikan Bldg. |
Improvement of Robustness by Normalization of Design Parameters in PSD Method
-- The Case of Vialess Open-stub EBG Structure -- Sho Kanao, Kengo Iokibe, Yoshitaka Toyota (Okayama Univ.) EMCJ2019-26 |
In metamodeling of Preference Set-based Design (PSD) method, we proposed to normalize design parameters in order to eval... [more] |
EMCJ2019-26 pp.47-52 |
IMQ, IE, MVE, CQ (Joint) [detail] |
2019-03-14 10:50 |
Kagoshima |
Kagoshima University |
Recommendation for Rental House based on Personal Preference Yang Cao (UEC), Shinichi Nunoya, Yusuke Suzuki, Masachika Suzuki, Yosio Asada (AVANT Corporation), Hiroki Takahashi (UEC) IMQ2018-32 IE2018-116 MVE2018-63 |
For real estate agent, it’s hard to understand users’ preference correctly by vocabulary and make proper recommenda-tion... [more] |
IMQ2018-32 IE2018-116 MVE2018-63 pp.55-60 |
IMQ, IE, MVE, CQ (Joint) [detail] |
2019-03-14 16:35 |
Kagoshima |
Kagoshima University |
Study on Sake Preference Analysis by an Evaluation Data Acquisition Application Yuki Hashimoto, Tatsuya Yamazaki (Niigata Univ.) CQ2018-105 |
There are over 1400 Sake breweries and 10000 or more brands in Japan, so that it is very difficult to discover sake fitt... [more] |
CQ2018-105 pp.73-78 |
IN, NS (Joint) |
2019-03-05 09:00 |
Okinawa |
Okinawa Convention Center |
A Semantic Peer-to-Peer Live Streaming System Using Preference Similarity Satoru Numata, Taiju Mikoshi, Katsunori Oyama, Toshihiro Nishizono (Nihon Univ.) NS2018-229 |
This paper presents an efficient control method in contents distribution service for simultaneous viewing of the video c... [more] |
NS2018-229 pp.213-218 |
ITS, IE, ITE-MMS, ITE-HI, ITE-ME, ITE-AIT [detail] |
2019-02-19 16:00 |
Hokkaido |
Hokkaido Univ. |
A Study on Vectorizing Diet Preferences based on Large Foodlogging Data and DNN model Yuji Goda (UTokyo), Sosuke Amano (foo.log Inc.), Yoko Yamakata, Kiyoharu Aizawa (UTokyo) |
In usual dietary management, dieticians use the food logs to see one’s wellness. However, this method is not handy for o... [more] |
|
HCS |
2019-02-02 12:30 |
Niigata |
Niigata Nippo Media Ship |
Visual preference of picture books by children and parents Taro Murakami (Kyushu Women's Univ.), Yuko Okumura, Takashi Hattori, Sanae Fujita, Tessei Kobayashi (NTT), Ayano Ueda, Ami Kimoto (Kyushu Women's Univ.) HCS2018-57 |
(To be available after the conference date) [more] |
HCS2018-57 pp.53-58 |
MSS, SS |
2019-01-16 14:05 |
Okinawa |
|
User Preference Extraction Method and Its Rating Scale with Associative Mining and Workflow Net Mohd Anuaruddin Bin Ahmadon (Yamaguchi Univ.), Piyatida Sakorn (Kasetsart Univ.), Shingo Yamaguchi (Yamaguchi Univ.) MSS2018-75 SS2018-46 |
ecommender systems have been widely used to improved customer experienced and to support personalized service to the con... [more] |
MSS2018-75 SS2018-46 pp.115-119 |
MBE, NC (Joint) |
2018-11-22 17:05 |
Kyoto |
|
The comparison of the discrimination of the music preference using the frontal electroencephalogram (EEG) asymmetry and the EEG power Hirokazu Sadahisa, Yuya Tsuji, Kiyohisa Natsume (KIT) MBE2018-49 |
The previous research of the frontal EEG asymmetry of mood and emotion has reported that the left frontal EEG activation... [more] |
MBE2018-49 pp.65-70 |
NLP |
2018-04-27 13:20 |
Kumamoto |
Kumaoto Univ. |
The relationship between the music-prference related electroencephalogram and a mood change. Hirokazu Sadahisa, Yuya Tsuji, Kiyohisa Natsume (Kyutech) NLP2018-20 |
In the present research, we studied the effect of music preference and music-preference related electroencephalogram (EE... [more] |
NLP2018-20 pp.95-100 |
HCS |
2018-03-14 15:20 |
Miyagi |
Research Institute of Electrical Communication, Tohoku University |
Development of Decision Support Agent That Utilizes Probe Actions Yuta Ishizaki, Natsuki Oka, Kazuaki Tanaka (KIT) HCS2017-117 |
Maeda et al. (2016) built a system that answers a light consultation such as "Which do you think is better?", and conduc... [more] |
HCS2017-117 pp.145-150 |
LOIS |
2018-03-01 14:15 |
Okinawa |
Naha-City IT Souzoukan(Okinawa) |
Extraction of Consumers' Preference Information for Realization of the Virtual Planning Office Daisuke Oba, Takaaki Hasegawa (Saitama Univ) LOIS2017-78 |
This paper focuses on interfaces and data processing as a preliminary stage of the verification with real products to im... [more] |
LOIS2017-78 pp.43-48 |
MBE, NC, NLP (Joint) |
2018-01-26 16:55 |
Fukuoka |
Kyushu Institute of Technology |
The characteristics of the electroencephalogram related to the music preferences Takaaki Hayata, Hirokazu Sadahisa, Yuya Tsuji, Kiyohisa Natsume (Kyutech) NLP2017-87 |
We have developed the music players that can be operated using electroencephalogram (EEG). In the previous research [Tsu... [more] |
NLP2017-87 pp.7-12 |
HCGSYMPO (2nd) |
2017-12-13 - 2017-12-15 |
Ishikawa |
THE KANAZAWA THEATRE |
Preference estimation in interaction
-- The model generation from limited samples -- Kota Adachihara, Haruaki Fukuda, Kazuhiro Ueda (Tokyo Univ.) |
Accurate estimation for other’s preference is necessarily for social life. We estimate other’s whole preference from som... [more] |
|
WPT, EMCJ (Joint) |
2017-11-21 10:30 |
Tokyo |
Kikai-Shinko-Kaikan Bldg. |
On Technique of Preference Set-based Design Yoshio Kami, Yoshiki Kayano, Haruo Ishikawa, Fengchao Xiao (UEC) EMCJ2017-59 |
A technique such as making many required performances be simultaneously satisfied with the same set of design parameters... [more] |
EMCJ2017-59 pp.1-6 |
SP |
2017-08-30 16:40 |
Kyoto |
Kyoto Univ. |
Extraction of brain activities related to impressions induced by HVAC sound using discriminant non-negative tensor factorization Hajime Yano (Kobe Univ./AIST), Tetsuya Takiguchi, Yasuo Ariki (Kobe Univ.), Masaru Kamiya (DENSO), Seiji Nakagawa (Chiba Univ./AIST) SP2017-33 |
To evaluate auditory impressions induced by HVAC (heating, ventilation and air conditioning) sound using a predictive mo... [more] |
SP2017-33 pp.61-66 |