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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| VLD, DC, RECONF, ICD, IPSJ-SLDM (Joint) [detail] |
2020-11-17 14:25 |
Online | Online | Energy-Efficient ECG Signals Outlier Detection Hardware Using a Sparse Robust Deep Autoencoder Naoto Soga, Shimpei Sato, HIroki Nakahara (Tokyo Tech)  VLD2020-17 ICD2020-37 DC2020-37 RECONF2020-36 |
Advancements in portable electrocardiographs have allowed electrocardiogram (ECG) signals to be recorded in everyday lif... [more] | VLD2020-17 ICD2020-37 DC2020-37 RECONF2020-36 pp.36-41 |
| HWS, VLD [detail] | 2020-03-04 09:55 |
Okinawa | Okinawa Ken Seinen Kaikan (Cancelled but technical report was issued) |
A Pin-Pair Routing Method for Length Difference Reduction in Set-Pair Routing Kunihiko Wada, Shimpei Sato, Atsushi Takahashi (TokyoTech) VLD2019-95 HWS2019-68 |
In this paper, we propose a Routing method that aims to reduce total wire length and wire length difference for Set-Pair... [more] | VLD2019-95 HWS2019-68 pp.7-12 |
| HWS, VLD [detail] | 2020-03-04 16:25 |
Okinawa | Okinawa Ken Seinen Kaikan (Cancelled but technical report was issued) |
Machine Learning Based Lithography Hotspot Detection Method and Evaluation Hidekazu Takahashi, Shimpei Sato, Atsushi Takahashi (Tokyo Tech) VLD2019-106 HWS2019-79 |
As VLSI device feature sizes are getting smaller and smaller, layout design has become more important to keep the yield... [more] |
VLD2019-106 HWS2019-79 pp.71-76 |
| IPSJ-SLDM, RECONF, VLD, CPSY, IPSJ-ARC [detail] | 2020-01-22 16:55 |
Kanagawa | Raiosha, Hiyoshi Campus, Keio University | A Comparison of Filter for Convolutional Neural Network towards Hardware Implementation Kosuke Akimoto, Youki Sada, Shimpei Sato, Hiroki Hakahara (Tokyo Tech) VLD2019-64 CPSY2019-62 RECONF2019-54 |
Convolutional neural networks have high recognition accuracy in computer vision task, and many of the learned filters ar... [more] | VLD2019-64 CPSY2019-62 RECONF2019-54 pp.61-66 |
| IPSJ-SLDM, RECONF, VLD, CPSY, IPSJ-ARC [detail] | 2020-01-22 17:20 |
Kanagawa | Raiosha, Hiyoshi Campus, Keio University | Many Universal Convolution Cores for Ensemble Sparse Convolutional Neural Networks Ryosuke Kuramochi, Youki Sada, Masayuki Shimoda, Shimpei Sato, Hiroki Nakahara (Titech) VLD2019-65 CPSY2019-63 RECONF2019-55 |
A convolutional neural network (CNN) is one of the most successful neural networks and widely used for computer vision t... [more] | VLD2019-65 CPSY2019-63 RECONF2019-55 pp.67-72 |
| IPSJ-SLDM, RECONF, VLD, CPSY, IPSJ-ARC [detail] | 2020-01-22 17:45 |
Kanagawa | Raiosha, Hiyoshi Campus, Keio University | An FPGA Implementation of Monocular Depth Estimation Youki Sada, Masayuki Shimoda, Shimpei Sato, Hiroki Nakahara (titech) VLD2019-66 CPSY2019-64 RECONF2019-56 |
Among a lot of image recognition applications, Convolutional Neural Network (CNN) has gained high accuracy and increasin... [more] | VLD2019-66 CPSY2019-64 RECONF2019-56 pp.73-78 |
| VLD, DC, CPSY, RECONF, ICD, IE, IPSJ-SLDM, IPSJ-EMB, IPSJ-ARC (Joint) [detail] |
2019-11-14 09:40 |
Ehime | Ehime Prefecture Gender Equality Center | FPGA implementation of ISA-based sparse CNN using Wide-SIMD Akira Jinguji, Shimpei Sato, Hiroki Nakahara (Titech) RECONF2019-37 |
Convolutional Neural Network (CNN) achieves high recognition performance in image recognition, and is expected to be app... [more] | RECONF2019-37 pp.9-14 |
| RECONF | 2019-09-20 11:40 |
Fukuoka | KITAKYUSHU Convention Center | Accurate Pedestrian Detection in Thermal Images for FPGA Ryosuke Kuramochi, Masayuki Shimoda, Youki Sada, Shimpei Sato, Hiroki Nakahara (titech) RECONF2019-26 |
Since thermal cameras can detect the heat of objects, they can be used even if there is no light. Therefore, object de... [more] |
RECONF2019-26 pp.31-36 |
| RECONF | 2019-05-09 16:10 |
Tokyo | Tokyo Tech Front | A CNN-based Classifier for a Digital Spectrometer on a Radio Telescope Hiroki Nakahara, Shimpei Sato (Titech) RECONF2019-19 |
[more] | RECONF2019-19 pp.103-108 |
| RECONF | 2019-05-10 10:00 |
Tokyo | Tokyo Tech Front | An FPGA Implementation of the Semantic Segmentation Model with Multi-path Structure Youki Sada, Masayuki Shimoda, Shimpei Sato, Hiroki Nakahara (titech) RECONF2019-10 |
Since the convolutional neural network has a high-performance recognition accuracy, it is expected to implement variou... [more] |
RECONF2019-10 pp.49-54 |
| HWS, VLD | 2019-02-27 13:55 |
Okinawa | Okinawa Ken Seinen Kaikan | Set-Pair Routing Algorithm with Selective Pin-Pair Connections Kano Akagi, Shimpei Sato, Atsushi Takahashi (Tokyo Tech) VLD2018-99 HWS2018-62 |
We propose a set-pair routing algorithm which efficiently generates a length matched routing pattern. In our algorithm, ... [more] | VLD2018-99 HWS2018-62 pp.37-42 |
| HWS, VLD | 2019-02-28 13:55 |
Okinawa | Okinawa Ken Seinen Kaikan | Model Compression for ECG Signals Outlier Detection Hardware trained by Sparse Robust Deep Autoencoder Naoto Soga, Shimpei Sato, Hiroki Nakahara (Titech) VLD2018-114 HWS2018-77 |
In recent years, portable electrocardiographs and wearable devices have begun to spread so that electrocar- diogram (ECG... [more] | VLD2018-114 HWS2018-77 pp.127-132 |
| IPSJ-SLDM, RECONF, VLD, CPSY, IPSJ-ARC [detail] | 2019-01-30 10:30 |
Kanagawa | Raiosha, Hiyoshi Campus, Keio University | On Delay Optimization for Improving General Synchronous Performance Eijiro Sassa, Shimpei Sato, Atsushi Takahashi (Tokyo Tech) VLD2018-72 CPSY2018-82 RECONF2018-46 |
[more] | VLD2018-72 CPSY2018-82 RECONF2018-46 pp.1-6 |
| IPSJ-SLDM, RECONF, VLD, CPSY, IPSJ-ARC [detail] | 2019-01-30 13:30 |
Kanagawa | Raiosha, Hiyoshi Campus, Keio University | A CNN with a Noise Addition for Efficient Implementation on an FPGA Atsuki Munakata, Shimpei Satou, Hiroki Nakahara (Tokyo Tech) VLD2018-75 CPSY2018-85 RECONF2018-49 |
This article is a technical report without peer review, and its polished and/or extended version may be published elsewh... [more] | VLD2018-75 CPSY2018-85 RECONF2018-49 pp.19-24 |
| VLD, DC, CPSY, RECONF, CPM, ICD, IE, IPSJ-SLDM, IPSJ-EMB, IPSJ-ARC (Joint) [detail] |
2018-12-05 10:20 |
Hiroshima | Satellite Campus Hiroshima | An FPGA implementation of Tri-state YOLOv2 using Intel OpenCL Youki Sada, Masayuki Shimoda, Shimpei Sato, Hiroki Nakahara (titech) RECONF2018-35 |
Since the convolutional neural network has a high-performance recognition accuracy, it is expected to implement variou... [more] |
RECONF2018-35 pp.7-12 |
| VLD, DC, CPSY, RECONF, CPM, ICD, IE, IPSJ-SLDM, IPSJ-EMB, IPSJ-ARC (Joint) [detail] |
2018-12-06 11:20 |
Hiroshima | Satellite Campus Hiroshima | Hardware implementation of ECG signals outlier detector trained by Sparse Robust Deep Autoencoder Naoto Soga, Shimpei Sato, Hiroki Nakahara (Titech) RECONF2018-42 |
Current ECG outlier detection is rule-based, there are many false positives, and it is necessary to study a new outlier ... [more] | RECONF2018-42 pp.45-50 |
| RECONF | 2018-09-17 14:55 |
Fukuoka | LINE Fukuoka Cafe Space | A Performance Per Power Efficient Object Detector on an FPGA for Robot Operating System (ROS) Haoxuan Cheng, Shimpei Sato, Hiroki Nakahara (titech) RECONF2018-22 |
[more] | RECONF2018-22 pp.19-22 |
| CPSY, DC, IPSJ-ARC (Joint) [detail] |
2018-08-01 17:00 |
Kumamoto | Kumamoto City International Center | A Deep Neuro-Fuzzy for False Negatives Reduction on an FPGA Masayuki Shimoda, Shimpei Sato, Nakahara Hiroki (titech) CPSY2018-29 |
[more] | CPSY2018-29 pp.211-216 |
| RECONF | 2018-05-25 16:00 |
Tokyo | GATE CITY OHSAKI | Efficient Object Detection with Event-Driven camera and its implementation on an FPGA Masayuki Shimoda, Shimpei Sato, Hiroki Nakahara (titech) RECONF2018-17 |
We propose an object detection system using a sliding window method for an event-driven camera which outputs a subtrac... [more] |
RECONF2018-17 pp.81-86 |
| RECONF | 2018-05-25 16:25 |
Tokyo | GATE CITY OHSAKI | An Implementation of an Object Detector on an FPGA Hiroki Nakahara, Masayuki Shimoda, Shimpei Sato (Titech) RECONF2018-18 |
[more] | RECONF2018-18 pp.87-92 |
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