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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 45件中 1~20件目  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
HWS, VLD [detail] 2020-03-04
09:30
Okinawa Okinawa Ken Seinen Kaikan A Method to Decide Row-Shift Decomposability of Index Generation Functions
Tsunesada Kyoichiro, Shinobu Nagayama, Masato Inagi, Shin'ichi Wakabayashi (HCU) VLD2019-94 HWS2019-67
In this paper, we discuss a method to decide whether the index generation functions are row-shift decomposable or not.
... [more]
VLD2019-94 HWS2019-67
pp.1-6
HWS, VLD [detail] 2020-03-04
10:30
Okinawa Okinawa Ken Seinen Kaikan An EVBDD-based Design Verification for Elementary Function Generators
Hiroto Fukuhara, Shinobu Nagayama, Masato Inagi, Shin'ichi Wakabayashi (HCU) VLD2019-96 HWS2019-69
This paper proposes a design verification based on edge-valued binary decision
diagrams (EVBDDs) for elementary functio... [more]
VLD2019-96 HWS2019-69
pp.13-18
HWS, VLD [detail] 2020-03-04
16:50
Okinawa Okinawa Ken Seinen Kaikan Additional Training Data Generation for Lithography Hotspot Detection by Modifying Existing Training Data
Gaku Kataoka, Masato Inagi, Shinobu Nagayama, Shin'ichi Wakabayashi (Hiroshima City Univ.) VLD2019-107 HWS2019-80
In lithography, a circuit pattern that is highly likely to cause an undesired open- and short-circuit after transfer is ... [more] VLD2019-107 HWS2019-80
pp.77-82
HWS, VLD [detail] 2020-03-04
17:15
Okinawa Okinawa Ken Seinen Kaikan A Preliminary Study of Spectrum-based Feature Vectors for Lithography Hotspot Detection
Masato Inagi, Gaku Kataoka, Shinobu Nagayama, Shin'ichi Wakabayashi (Hiroshima City Univ.) VLD2019-108 HWS2019-81
 [more] VLD2019-108 HWS2019-81
pp.83-88
HWS, VLD [detail] 2020-03-06
10:30
Okinawa Okinawa Ken Seinen Kaikan A Consideration on Efficient Anomaly Detection Based on Isolation Forest
Tsubasa Ikeda, Shinobu Nagayama, Masato Inagi, Shin'ichi Wakabayashi (HCU) VLD2019-125 HWS2019-98
Isolation Forest is a method to detect anomalies by ensemble learning of binary decision trees. It traverses each decisi... [more] VLD2019-125 HWS2019-98
pp.179-184
VLD, DC, CPSY, RECONF, ICD, IE, IPSJ-SLDM, IPSJ-EMB, IPSJ-ARC
(Joint) [detail]
2019-11-15
15:45
Ehime Ehime Prefecture Gender Equality Center Lithography Hotspot Detection Based on Feature Vectors Considering Wire Width and Distance
Gaku Kataoka, Masato Inagi, Shinobu Nagayama, Shin'ichi Wakabayashi (Hiroshima City Univ.) VLD2019-51 DC2019-75
In lithography, which is one of the semiconductor manufacturing processes, there is a pattern that is highly likely to c... [more] VLD2019-51 DC2019-75
pp.185-190
VLD, DC, CPSY, RECONF, CPM, ICD, IE, IPSJ-SLDM, IPSJ-EMB, IPSJ-ARC
(Joint) [detail]
2018-12-06
13:25
Hiroshima Satellite Campus Hiroshima A Hybrid Method Using Monte-Carlo Tree Search and Gibbs Sampling Method for Solving Motif Extraction Problems
Yusuke Yuasa, Shinobu Nagayama, Masato Inagi, Shin'ichi Wakabayashi (HCU) VLD2018-61 DC2018-47
 [more] VLD2018-61 DC2018-47
pp.149-154
VLD, DC, CPSY, RECONF, CPM, ICD, IE, IPSJ-SLDM, IPSJ-EMB, IPSJ-ARC
(Joint) [detail]
2018-12-07
14:35
Hiroshima Satellite Campus Hiroshima Comparison of Machine Learning-Based Lithography Hotspot Detection Methods under Optimized Hyperparameters
Gaku Kataoka, Masato Inagi, Shinobu Nagayama, Shin'ichi Wakabayashi (Hiroshima City Univ.) VLD2018-71 DC2018-57
 [more] VLD2018-71 DC2018-57
pp.215-220
VLD, HWS
(Joint)
2018-02-28
09:30
Okinawa Okinawa Seinen Kaikan On Fast Computation of RBF Approximate Function by FPGA Implementation
Shogo Masuda, Shinobu Nagayama, Masato Inagi, Shin'ichi Wakabayashi (Hiroshima City Univ.) VLD2017-89
Radial basis functions (RBFs) are used for function fitting (approximation) of discrete data in various fields such as m... [more] VLD2017-89
pp.1-6
VLD, HWS
(Joint)
2018-02-28
09:55
Okinawa Okinawa Seinen Kaikan On Memory Size Reduction of Programmable Hardware for Random Forest based Network Intrusion Detection
Binbin Xue, Shinobu Nagayama, Masato Inagi, Shin'ichi Wakabayashi (Hiroshima City Univ.) VLD2017-90
In our previous research, we proposed dedicated programmable hardware of random forest based NIDSs. In this research, we... [more] VLD2017-90
pp.7-12
VLD, HWS
(Joint)
2018-02-28
10:20
Okinawa Okinawa Seinen Kaikan k-Nearest Neighbor Search Hardware Using Locality Sensitive Hashing for High-Dimensional Data
Yuto Arai, Shin'ichi Wakabayashi, Shinobu Nagayama, Masato Inagi (Hiroshima City Univ.) VLD2017-91
Recently, k-nearest neighbor search is frequently used in the field of pattern recognition, clustering,etc.
However, f... [more]
VLD2017-91
pp.13-18
VLD, HWS
(Joint)
2018-03-01
09:00
Okinawa Okinawa Seinen Kaikan A Study of Lithography Hotspot Detection Method Based on Feature Vectors Considering Distances between Wires
Gaku Kataoka, Masato Inagi, Shinobu Nagayama, Shin'ichi Wakabayashi (Hiroshima City Univ.) VLD2017-105
In lithography, which is one of the LSI fabrication processes, a layout pattern with a high failure probability is calle... [more] VLD2017-105
pp.97-102
VLD, HWS
(Joint)
2018-03-01
10:30
Okinawa Okinawa Seinen Kaikan A Motif Extraction Method Using Monte-Carlo Tree Search and its Experimental Evaluation
Yusuke Yuasa, Shinobu Nagayama, Masato Inagi, Shin'ichi Wakabayashi (Hiroshima City Univ.) VLD2017-108
Discovering a similar substring from multiple strings is called motif extraction. It is used in various fields including... [more] VLD2017-108
pp.115-120
SIP, CAS, MSS, VLD 2017-06-19
11:20
Niigata Niigata University, Ikarashi Campus An Optimization Method for Automotive Engine Control Parameters Using Gradient Methods
Shogo Masuda, Shinobu Nagayama, Masato Inagi, Shin'ichi Wakabayashi (Hiroshima City Univ.) CAS2017-6 VLD2017-9 SIP2017-30 MSS2017-6
In this study, we address a problem to obtain optimum control parameters by computing an inverse image of the target out... [more] CAS2017-6 VLD2017-9 SIP2017-30 MSS2017-6
pp.31-36
SIP, CAS, MSS, VLD 2017-06-19
11:40
Niigata Niigata University, Ikarashi Campus An Implementation Method of Reconfigurable Network Intrusion Detection Systems Based on Random Forests
Binbin Xue, Shinobu Nagayama, Masato Inagi, Shin'ichi Wakabayashi (Hiroshima City Univ.) CAS2017-7 VLD2017-10 SIP2017-31 MSS2017-7
In this paper, we propose an implementation method of reconfigurable network intrusion detection system based on random ... [more] CAS2017-7 VLD2017-10 SIP2017-31 MSS2017-7
pp.37-42
VLD 2017-03-02
09:00
Okinawa Okinawa Seinen Kaikan Generation of Optimum Screening Patterns for a Screening Circuit to Detect Network Intrusion
Tomoaki Hashimoto, Shinobu Nagayama, Masato Inagi, Shin'ichi Wakabayashi (Hiroshima City Univ.) VLD2016-108
In our previous study, we proposed a dedicated circuit, called a screening circuit, that screens packes on a network at ... [more] VLD2016-108
pp.37-42
VLD 2017-03-02
10:55
Okinawa Okinawa Seinen Kaikan Acceleration of a Hotspot Detection Method Based on Approximate String Matching for LSI Mask Pattern Using Table Reference
Shuma Tamagawa, Masato Inagi, Shinobu Nagayama, Shin'ichi Wakabayashi (Hirohima City Univ.) VLD2016-112
In nanoscale LSI fabrication, there exists a pattern on the mask pattern, called a hotspot, which leads to a failure.
H... [more]
VLD2016-112
pp.61-66
CPSY, RECONF, VLD, IPSJ-SLDM, IPSJ-ARC [detail] 2017-01-24
16:55
Kanagawa Hiyoshi Campus, Keio Univ. FPGA Implementation of Mahalanobis Distance-Based Outlier Detection for Streaming Data
Yuto Arai, Shin'ichi Wakabayashi, Shinobu Nagayama, Masato Inagi (Hiroshima City Univ.) VLD2016-91 CPSY2016-127 RECONF2016-72
This paper focuses on a method to detect outliers in streaming data, and proposes a fast FPGA implementation of outlier ... [more] VLD2016-91 CPSY2016-127 RECONF2016-72
pp.141-146
VLD 2016-03-01
09:25
Okinawa Okinawa Seinen Kaikan A Screening Circuit for Intrusion Detection of High-Speed Networks and its FPGA Implementation
Hiroki Takaguchi, Shin'ichi Wakabayashi, Shinobu Nagayama, Masato Inagi (Hiroshima City Univ.) VLD2015-119
 [more] VLD2015-119
pp.49-54
VLD, CPSY, RECONF, IPSJ-SLDM, IPSJ-ARC [detail] 2016-01-19
14:20
Kanagawa Hiyoshi Campus, Keio University GPGPU Implementation of the MSD Method for Outlier Detection and Its Experimental Evaluation
Shotaro Asano, Masato Inagi, Shinobu Nagayama, Shin'ichi Wakabayashi (Hiroshima City Univ.) VLD2015-83 CPSY2015-115 RECONF2015-65
In recent years,as the information,communication and sensing technologies advance,data streams have been continuously gr... [more] VLD2015-83 CPSY2015-115 RECONF2015-65
pp.37-42
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