Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
HWS, VLD |
2023-03-01 15:45 |
Okinawa |
(Okinawa, Online) (Primary: On-site, Secondary: Online) |
A Feature Vector Considering Characteristics of Optical System for Lithography Hotspot Detection Masahiro Yamamoto, Masato Inagi, Shinobu Nagayama (HCU) VLD2022-81 HWS2022-52 |
[more] |
VLD2022-81 HWS2022-52 pp.49-54 |
MSS, CAS, SIP, VLD |
2020-06-18 13:35 |
Online |
Online (Online) |
Characteristic Analyses and Generation of Maximally Asymmetric Functions Hiroshi Kanehagi, Shinobu Nagayama, Masato Inagi, Shin'ichi Wakabayashi (Hiroshima City Univ.) CAS2020-7 VLD2020-7 SIP2020-23 MSS2020-7 |
Maximally asymmetric functions are discrete functions such that "asymmetry" defined by the minimum Hamming distance from... [more] |
CAS2020-7 VLD2020-7 SIP2020-23 MSS2020-7 pp.35-40 |
HWS, VLD [detail] |
2020-03-04 09:30 |
Okinawa |
Okinawa Ken Seinen Kaikan (Okinawa) (Cancelled but technical report was issued) |
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 (Okinawa) (Cancelled but technical report was issued) |
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 (Okinawa) (Cancelled but technical report was issued) |
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 (Okinawa) (Cancelled but technical report was issued) |
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 (Okinawa) (Cancelled but technical report was issued) |
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 (Ehime) |
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 (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 (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 (Okinawa) |
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 (Okinawa) |
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 (Okinawa) |
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 (Okinawa) |
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 (Okinawa) |
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 (Niigata) |
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 (Niigata) |
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 (Okinawa) |
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 (Okinawa) |
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. (Kanagawa) |
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 |