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Search Results: Conference Papers
 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 20 of 170  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
CS 2019-07-04
09:00
Kagoshima Amami City Social Welfare Center Traffic Feature-based Botnet Detection Scheme Emphasizing the Importance of Long Patterns
Yichen An, Shuichiro Haruta, Sanghun Choi, Iwao Sasase (Keio Univ.)
The botnet detection is imperative. Among several detection schemes, the promising one uses the communication sequences.... [more] CS2019-18
pp.31-35
SIS, IPSJ-AVM, ITE-3DIT [detail] 2019-06-13
13:55
Nagasaki Fukue Culture Center Accuracy Improvement of Depth Estimation from a Single Still Image Using Feature Pyramid Network
Yudai Fukuda, Takuro Oki, Ryusuke Miyamoto (Meiji Univ.)
Depth estimation from a single shot image have become accurate drastically after emergence of deep
neural networks that... [more]
SIS2019-5
pp.23-28
EA, SIP, SP 2019-03-15
13:30
Nagasaki i+Land nagasaki (Nagasaki-shi) [Poster Presentation] Design and Evaluation of Ladder Denoising Autoencoder for Auditory Speech Feature Extraction of Overlapped Speech Separation
Hiroshi Sekiguchi, Yoshiaki Narusue, Hiroyuki Morikawa (Univ. of Tokyo)
Primates and mammalian distinguish overlapped speech sounds from one another by recognizing a single sound source whethe... [more] EA2018-155 SIP2018-161 SP2018-117
pp.329-333
SIS 2019-03-06
13:00
Tokyo Tokyo Univ. Science, Katsushika Campus Evaluation of an FPGA Implementation of MRCoHOG Feature using High-Level Synthesis
Yuya Nagamine, Kazuki Yoshihiro, Hakaru Tamukoh (Kyutech)
In this report, we evaluate a Field Programmable Gate Array (FPGA) implementation of Multiresolution Co-occurrence Histo... [more] SIS2018-37
pp.1-4
DC 2019-02-27
11:45
Tokyo Kikai-Shinko-Kaikan Bldg. An Efficient Approach to Recycled FPGA Detection Using WID Variation Modeling
Foisal Ahmed, Michihiro Shintani, Michiko Inoue (NAIST)
Recycled field programmable gate arrays (FPGAs) make a significant threat to mission critical systems due to their perfo... [more] DC2018-77
pp.37-42
ITS, IE, ITE-MMS, ITE-HI, ITE-ME, ITE-AIT [detail] 2019-02-20
09:30
Hokkaido Hokkaido Univ. Detection of Improper Tactile Paving using Pedestrian Viewpoint video
Kento Watanabe, Hiroki Takahashi (UEC)
Currently, there are 36 million blind people in the whole world. Furthermore, the number of blind people will be expecte... [more] ITS2018-73 IE2018-94
pp.141-146
MoNA 2018-12-25
14:40
Tokyo   Detection of Predator Animals Features using Machine Learning
Fahad Alharbi, Eiji Kamioka (SIT)
In this paper, predator animals feature detection is discussed. Animals recognition is one of the areas in which a limit... [more] MoNA2018-49
pp.61-66
CS 2018-11-02
10:10
Ehime The Shiki Museum Feature Selection Scheme for Android ICC-related Features Based on the Gap of the Appearance Ratio
Kyohei Osuge, Hiroya Kato, Shuichiro Haruta, Iwao Sasase (Keio Univ.)
Android malwares are rapidly becoming a potential threat to users. Among several Android malware detection schemes, the ... [more] CS2018-65
pp.57-62
SR, RCS
(Joint)
(2nd)
2018-10-31
10:25
Overseas Mandarin Hotel, Bangkok, Thailand [Poster Presentation] A Comparison of Machine Learning Algorithms for Motor Sound Fault Detection
Arpith Paida (AIT), Prerapong, Aimaschana Niruntasukrat, Koonlachat Meesublak, Panita (NECTEC)
Automation plays important role in order to make human activities easier. In industries, machines /motors are used for m... [more]
PRMU, IBISML, IPSJ-CVIM [detail] 2018-09-20
09:50
Fukuoka   A Study of Handwritten Chinese Character Recognition Method Based on Detection of The Curve Endpoints and Quadratic Curve Fitting
Masato Suzuki, Daisuke Kitakoshi (Tokyo KOSEN)
The local feature extraction used in general object recognition is one of the useful method to recognize
the handwritte... [more]
PRMU2018-44 IBISML2018-21
pp.55-60
PRMU, IBISML, IPSJ-CVIM [detail] 2018-09-21
09:50
Fukuoka   Anomaly Detection for Various Operations of Machine
Kazuki Kobayashi, Masatoshi Sekine, Satoshi Ikada (OKI)
In this paper, we propose an anomaly level estimation method for various operation of machine. Our proposed method has t... [more] PRMU2018-56 IBISML2018-33
pp.133-138
SIP, EA, SP, MI
(Joint) [detail]
2018-03-19
13:00
Okinawa   [Poster Presentation] Acoustic analysis of speech for emergency speech detection of voicemail
Matsuto Hori (Meiji Univ.), Hosana Kamiyama, Satoshi Kobashikawa (NTT), Shigeki Sagayama (Meiji Univ.)
In this paper, we investigate the effectiveness of acoustic features for detecting urgency in voicemail. In previous res... [more] EA2017-112 SIP2017-121 SP2017-95
pp.63-68
PRMU, BioX 2018-03-18
16:10
Tokyo   Pedestrian Detection with Multi-level Deep Features
Misaki Kodaira, Yu Wang, Jien Kato (Nagoya Univ.)
In this research, we aim to clarify effective application of CNN features in pedestrian detection. In the experiment, fe... [more] BioX2017-52 PRMU2017-188
pp.97-102
MSS, NLP
(Joint)
2018-03-14
10:05
Osaka   Improvement of Spaito-Temporal Situation Recognition Using Staff's Behavior Logs
Shun Hayakashi, Kunihiko Hiraishi, Naoshi Uchihira (JAIST)
Recently, assist technologies for work staff using ICT devices is expected to be introduced into various real fields. In... [more] MSS2017-90
pp.67-72
PRMU, CNR 2018-02-20
09:30
Wakayama   Detection of outdoor cables from point-cloud measured by MMS -- Classification method of elongated object using histogram feature based on multiple geometric directions(MGPFH) --
Hitoshi Niigaki, Ken Tsutsuguchi, Tetsuya Kinebuchi (NTT)
Research results on detecting details of outdoor structures using point clouds measured by Mobile Map-
ping Systems hav... [more]
PRMU2017-159 CNR2017-37
pp.83-87
DC 2017-12-15
12:30
Akita Akita Study Center, The Open University of Japan Basic study on vertical curve detection method combined with use of inertial sensors and tachometer generators for correction of train position
Shigeru Taniguchi, Koji Iwata, Yuki Ota (RTRI), Masayuki Kitora, Akira Asano (Kyosan Inc)
With respect to the conventional method to detect the track particular points such as curves and to correct the train po... [more] DC2017-68
pp.1-6
IA, IN
(Joint)
2017-12-15
14:10
Hiroshima Hiroshima City Univ. A study of gini importance-based header feature selection methods for cyber attack detection
Yuta Kazato, Yuichi Nakatani, Takeshi Okamoto, Akira Shibata (NTT)
Growing the expansion of network services and IoT devices, the risk of cyber attacks is increased by high-frequency and ... [more] IN2017-61
pp.91-96
SANE 2017-11-23
11:00
Overseas Malaysia (Borneo Island) [Special Talk] SAR Image Segmentation Based Framework to Ship Detection
Yang-Lang Chang, Amare Anagaw Ayele (NTUT), Lena Chang, Wei-Lin Chen (NTOU), Meng-Che Wu (NSPO), Chihyuan Chu (NTUT)
Synthetic aperture radar (SAR) imagery has proven to be a promising data source for the surveillance of maritime activit... [more] SANE2017-63
pp.1-6
IA 2017-11-15
13:50
Overseas KMITL, Bangkok, Thailand Machine Learning Approach for Phishing Detection in SDN Networking
Yu-Hung Chen, Jiun-Yu Yang, Po-Chun Hou, Jiann-Liang Chen (National Taiwan University of Science & Technology)
People have become increasingly dependent on information technology since the emergence of the Internet. Therefore, many... [more] IA2017-30
pp.1-6
SAT 2017-10-26
11:25
Okinawa Okinawa Cellular Telephone Company Interference monitoring scheme using feature detection between satellite and cellular systems (28 GHz)
Kanshiro Kashiki, Tomoki Sada (KDDI Research), Akihide Nagamine, Fumio Watanabe (Titec)
This manuscript presents study results for an interference monitoring scheme between satellite and cellular systems in t... [more] SAT2017-42
pp.23-28
 Results 1 - 20 of 170  /  [Next]  
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