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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 20 of 22  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
SSS 2020-03-17
(Cancelled but technical report was issued)
Data Science/Engineering, Safety and Workshop operations
Masaomi Kimura (SIT) SSS2019-29
 [more] SSS2019-29
SSS 2019-09-24
Tokyo   A Proposal of Detection Method of Adversalial Examples based on Frequency Domain
Yuya Kase, Masaomi Kimura (SIT) SSS2019-20
We propose a detection method of special data Adversarial Examples that cause misclassification of neural networks. Adve... [more] SSS2019-20
SSS 2019-09-24
Tokyo   Reinforcement learning for pedestrian agent route planning and collision avoidance
Trinh Thanh Trung, Masaomi Kimura (SIT) SSS2019-21
Pedestrian navigation plays a significant role in many traffic safety simulation systems. In microscopic pedestrian navi... [more] SSS2019-21
ITE-IDY, EID, SID-JC [detail] 2019-08-02
Tokyo Kikai-Shinko-Kaikan Bldg. [Invited Lecture] A Novel Reactive Monomer for Self Vertical Alignment LCDs
Yuichi Inoue, Masaomi Kimura, Junko Yamamoto, Junichi Mamiya, Yutaka Kadomoto (DIC)
SSS 2018-09-25
Tokyo   Deep learning and safety
Masaomi Kimura (SIT) SSS2018-20
A text mining technique was applied to abstracts of articles about deep learning done in 2018 in order to classify them.... [more] SSS2018-20
SSS 2018-09-25
Tokyo   Neural network based cause reclassification of incidents at dispensing in pharmacies.
Yoshiki Kobari (SIT), Masaomi Kimura (Shibaura Inst. of Tech.) SSS2018-21
Incidents in pharmacies are the cases whose causes are common with medical accidents. Most of the root cause of incident... [more] SSS2018-21
SSS 2018-09-25
Tokyo   An index to measure similarities of drug packages based on CNN
Noriaki Kamijo, Masaomi Kimura (SIT) SSS2018-22
 [more] SSS2018-22
SSS 2017-03-21
Tokyo   Construction and analysis of database on outer cases of only one medicine
Yusuke Tanitsu, Michiko Ohkura, Masaomi Kimura (Shibaura Inst. Tech.), Fumito Tsuchiya (IUHW) SSS2016-35
A medicine has more than 100 types of outer cases because of the start selling its generic medicines. Then, we construct... [more] SSS2016-35
SSS 2017-03-21
Tokyo   A Proposal of Quantification Method Describing the Difference between the Meaning of the Terms in the International Standards for Safety
Yohei Ueda, Masaomi Kimura (SIT) SSS2016-36
International safety standards define and regularize many aspects of product safety during manufacturing processes.
How... [more]
SSS 2016-08-23
Kyoto   A Proposal of a similarity index of drug PTP sheet packages
Masaomi Kimura (SIT) SSS2016-14
In this study, we proposed the distances of PTP sheet designs to measure their similarities. Under the assumption that t... [more] SSS2016-14
SSS 2016-03-10
Tokyo   Extraction of causalities and rules involved in wear of machinery from lubricating oil analysis data
Daisuke Ide (Shibaura Institute of Technology), Atsushi Ruike (Tribotex), Masaomi Kimura (Shibaura Institute of Technology) SSS2015-31
 [more] SSS2015-31
SSS 2014-12-16
Tokyo Shibaura Institute of Technology A Proposal of the Method to Identify Adverse Effects Based on Topic Maps
Kazuya Yokokawa, Masaomi Kimura, Michiko Ohkura (Shibaura Inst. of Tech.), Fumito Tsuchiya (IUHW) SSS2014-19
Medical experts need to properly identify the adverse effects. One may consider reading of package inserts is helpful, s... [more] SSS2014-19
SSS 2014-12-16
Tokyo Shibaura Institute of Technology Construction and analysis of database on outer cases of medicines
Michiko Ohkura (Shibaura Inst Tech), Hirofumi Yoshimi (NTT Software), Masaomi Kimura (Shibaura Inst Tech), Fumito Tsuchiya (JSHP) SSS2014-23
The purpose of this study is to reduce the burden on medical staffs when they open outer cases of medicines. We collecte... [more] SSS2014-23
NLC 2013-09-12
Tokyo National Olympics Memorial Youth Center A proposal of a recommendation method of reviews describing characteristic minority opinions
Hiroaki Shirahama, Masaomi Kimura (Shibaura Inst. of Tech.) NLC2013-19
Recently, many online shops offer their service with the product reviews. Those shops allow customers to comment or rate... [more] NLC2013-19
SSS 2012-09-20
Tokyo   Analyses of composition descriptions to generate package inserts
Ryo Okuya, Keita Nabeta, Masaomi Kimura, Michiko Ohkura (SIT), Fumito Tsuchiya (IUHW) SSS2012-15
In order to realize a system in medical fields to avoid medical accidents caused by drugs, it is necessary to create a d... [more] SSS2012-15
SSS 2011-11-17
Tokyo Kikai-Shinko-Kaikan Bldg Analysis on the order of side effect descriptions in medicinal package inserts
Masaomi Kimura, Keita Nabeta (Shibaura Inst. of Tech.), Fumito Tsuchiya (Int. Univ of Health and Welfare) SSS2011-17
 [more] SSS2011-17
HIP 2011-07-24
Toyama   Proposal of search for ampules having similar appearance (IV) -- Experiment on externals similar factor investigation of ampule --
Kunihiro Watanabe (SIT), Jun Tazoe (K.KManagement-Japan), Akira Izumiya (BrainPad), Keita Nabeta (SIT), Yoshitaka Otsuk (ViSCO Technologies), Masaomi Kimura, Michiko Ohkura (SIT), Toshio Takaike (AstraZeneca K.K), Fumito Tsuchiya (IUHW) HIP2011-42
To propose search method for ampules having similar appearance, we developed a system to calculate degree of similarity ... [more] HIP2011-42
SSS 2009-08-24
Osaka   A proposal of classification for recalls cases of medicines and medical equipments
Hiromi Yoneshige, Masaomi Kimura, Keita Nabeta, Michiko Ohkura (Shibaura Inst. of Tech.), Fumito Tsuchiya (Tokyo Med. & Den. Univ.) SSS2009-16
 [more] SSS2009-16
Tokyo Kikai-Shinko-Kaikan The analysis of questionnaire about a bar code printed on the ampoule label
Masaomi Kimura (Shibaura Inst. of Tech.), Hiroyuki Furukawa (Kanazawa Univ.), Hitoshi Tsukamoto (TOA EIYO), Michiko Ohkura (Shibaura Inst. of Tech.), Fumito Tsuchiya (Tokyo Med. and Dent. Univ.) SSS2008-4
 [more] SSS2008-4
NC 2007-03-14
Tokyo Tamagawa University A Study of Policy-Gradient Methods in Non-Markov Decision Porcesses -- Application to a Curling Game --
Harukazu Igarashi (Shibaura Inst. Tech.), Seiji Ishihara (Kinki Univ.), Masaomi Kimura (Shibaura Inst. Tech.)
There are two approaches to reinforcement learning: value-based methods and policy-gradient methods. Baird and Moore pro... [more] NC2006-148
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