| Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
| IST |
2019-03-22
13:30 |
Tokyo |
Kikai-Shinko-Kaikan Bldg. |
A 32X32-Pixel 0.9THz Imager with Pixel-Parallel 12b VCO-Based ADC in 0.18μm CMOS
Yuri Kanazawa, Sayuri Yokoyama, Takahiro Ikegami, Prasoon Ambalathankandy, Shota Hiramatsu, Eiichi Sano (Hokkaido Univ.), Yuma Takida, Hiroaki Minamide (RIKEN), Masayuki Ikebe (Hokkaido Univ.) |
A terahertz imaging has attracted attention. However, it is problem that conventional terahertz imagers are expensive. A... [more] |
IST2019-18
pp.33-36 |
| ME, IEICE-IE, IEICE-ITS, MMS, HI, AIT [detail] |
2019-02-19
09:45 |
Hokkaido |
Hokkaido Univ. |
[Special Talk]
Efforts of Hokkaido University to Develop Data Science Human Resources
-- Construction of a foundation for creative human resource development: attempts to implement new functions of university education --
Miki Haseyama, Toru Ohmoto, Yuki Wakuda (Hokkaido Univ.) |
Hokkaido University was selected as one of six schools for “Strengthening Education on Mathematics and Data Science” wit... [more] |
MMS2019-1 HI2019-1 ME2019-23 AIT2019-1
pp.1-2 |
| ME, IEICE-IE, IEICE-ITS, MMS, HI, AIT [detail] |
2019-02-19
10:00 |
Hokkaido |
Hokkaido Univ. |
[Special Talk]
Leading edge of Education for Mathematical and Data Science in Hokkaido University
-- Concept of MDS Programs in Undergraduate and Graduate Schools --
Miki Haseyama, Toru Ohmoto, Yuki Wakuda (Hokkaido Univ.) |
We outline the basic idea and structure of Mathematical and Data Science Education in undergraduate and graduate courses... [more] |
MMS2019-2 HI2019-2 ME2019-24 AIT2019-2
pp.3-4 |
| ME, IEICE-IE, IEICE-ITS, MMS, HI, AIT [detail] |
2019-02-19
10:10 |
Hokkaido |
Hokkaido Univ. |
[Special Talk]
Efforts for Doctoral Human Resource Development at Hokkaido University
-- Smart Infrastructure Management Human Resources Development Consortium --
Miki Haseyama, Toru Ohmoto, Yuki Wakuda (Hokkaido Univ.) |
In order to enhance Japan’s competitiveness toward the era of the Fourth Industrial Revolution (Society 5.0), the discov... [more] |
MMS2019-3 HI2019-3 ME2019-25 AIT2019-3
pp.5-6 |
| ME, IEICE-IE, IEICE-ITS, MMS, HI, AIT [detail] |
2019-02-19
10:30 |
Hokkaido |
Hokkaido Univ. |
[Special Talk]
Hokkaido University COI "Innovative Food & Healthcare MASTER"
Masanori Yoshino (Hokkaido Univ./Hitachi, Ltd.) |
[more] |
MMS2019-4 HI2019-4 ME2019-26 AIT2019-4
pp.7-11 |
| ME, IEICE-IE, IEICE-ITS, MMS, HI, AIT [detail] |
2019-02-19
11:30 |
Hokkaido |
Hokkaido Univ. |
Improvement of noise separation accuracy in image reconstruction in virtual phase conjugation based optical tomography
Sota Nagayoshi, Atsushi Okamoto (Hokkaido Univ.), Yuta Goto (Fukui Univ.), Kazuhisa Ogawa, Akihisa Tomita (Hokkaido Univ.) |
Virtual phase conjugation based optical tomography (VPC-OT) realizes single-shot three-dimensional (3D) measurement. In ... [more] |
MMS2019-11 HI2019-11 ME2019-33 AIT2019-11
pp.71-74 |
| ME, IEICE-IE, IEICE-ITS, MMS, HI, AIT [detail] |
2019-02-19
16:15 |
Hokkaido |
Hokkaido Univ. |
A Note on Performance Improvement of Distress Detection in Subway Tunnels Using CNN
An Wang, Ryosuke Harakawa, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.) |
[more] |
MMS2019-14 HI2019-14 ME2019-36 AIT2019-14
pp.121-124 |
| ME, IEICE-IE, IEICE-ITS, MMS, HI, AIT [detail] |
2019-02-19
16:45 |
Hokkaido |
Hokkaido Univ. |
A Trial Analysis of Driving Behavior on Expressway using Semi-Automated Vehicle
Koki Hioki, Masahiro Tada (Kindai Univ.), Toru Hagiwara (Hokkaido Univ.), Hidekatsu Hamaoka (Akita Univ.), Yoshiki Ninomiya (Nagoya Univ.) |
This study aims to investigate how semi-automated driving system affects elderlies and non-elderlies driving behavior fr... [more] |
MMS2019-16 HI2019-16 ME2019-38 AIT2019-16
pp.131-134 |
| ME, IEICE-IE, IEICE-ITS, MMS, HI, AIT [detail] |
2019-02-20
13:00 |
Hokkaido |
Hokkaido Univ. |
Analysis on Basic Operation of Virtual Shift Method for Accuracy Improvement of Holographic Diversity Interferometry
Nobuhiro Yamagishi, Atsushi Okamoto, Tomohiro Maeda (Hokkaido Univ.), Jin Nozawa (Aisin Seiki), Kazuhisa Ogawa, Akihisa Tomita (Hokkaido Univ.) |
Holographic diversity interferometry (HDI) enables single-shot phase measurement by using two image sensors. However, mi... [more] |
MMS2019-18 HI2019-18 ME2019-40 AIT2019-18
pp.197-200 |
| ME, IEICE-IE, IEICE-ITS, MMS, HI, AIT [detail] |
2019-02-20
13:45 |
Hokkaido |
Hokkaido Univ. |
Accuracy improvement of phase modulated signal by calibrating spatial light modulator
Tomohiro Maeda, Atsushi Okamoto, Kazuhisa Ogawa, Akihisa Tomita (Hokkaido Univ.) |
The modulation accuracy of phase-only spatial light modulators (SLMs) decreases by the distortion of the phase response ... [more] |
MMS2019-21 HI2019-21 ME2019-43 AIT2019-21
pp.209-213 |
| ME, IEICE-IE, IEICE-ITS, MMS, HI, AIT [detail] |
2019-02-20
09:15 |
Hokkaido |
Hokkaido Univ. |
A Note on Estimation of Characteristic Curve for Rubber Materials Using Electron Microscope Images and Mix Proportions
Naoki Saito, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.) |
This paper presents an estimation method of characteristic curves for rubber materials using electron microscope images ... [more] |
MMS2019-26 HI2019-26 ME2019-48 AIT2019-26
pp.261-264 |
| ME, IEICE-IE, IEICE-ITS, MMS, HI, AIT [detail] |
2019-02-20
09:30 |
Hokkaido |
Hokkaido Univ. |
A Note on Estimation of Deteriorated Regions Based on Anomaly Detection from Rubber Material Microscope Images
Ren Togo, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.) |
This paper presents an anomaly detection method for estimation of deteriorated regions from rubber material electron mic... [more] |
MMS2019-27 HI2019-27 ME2019-49 AIT2019-27
pp.265-268 |
| ME, IEICE-IE, IEICE-ITS, MMS, HI, AIT [detail] |
2019-02-20
09:45 |
Hokkaido |
Hokkaido Univ. |
Performance Verification of Stress Detection Using a High-performance Wristband with Multi-sensing
Yoshiki Ito, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.) |
Stress increases the risk of physical and psychological illnesses. When individuals get stressed, it is important to red... [more] |
MMS2019-28 HI2019-28 ME2019-50 AIT2019-28
pp.269-274 |
| ME, IEICE-IE, IEICE-ITS, MMS, HI, AIT [detail] |
2019-02-20
10:00 |
Hokkaido |
Hokkaido Univ. |
A Note on Attribute Estimation for Improving Interpretability of Convolutional Neural Network
Kazaha Horii, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.) |
[more] |
MMS2019-29 HI2019-29 ME2019-51 AIT2019-29
pp.275-279 |
| ME, IEICE-IE, IEICE-ITS, MMS, HI, AIT [detail] |
2019-02-20
10:15 |
Hokkaido |
Hokkaido Univ. |
A note on estimation of inspectors' visual attention using distress images of subway tunnels
-- Trial introduction of deep learning-based saliency prediction methods --
Ryota Saito, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.) |
This paper presents the first trial for estimating inspectors' visual attention of distress images in subway tunnels. Th... [more] |
MMS2019-30 HI2019-30 ME2019-52 AIT2019-30
pp.281-285 |
| ME, IEICE-IE, IEICE-ITS, MMS, HI, AIT [detail] |
2019-02-20
11:00 |
Hokkaido |
Hokkaido Univ. |
A Note on Estimation of Rock Drilling Energy Using Tunnel Working Face Images
Kentaro Yamamoto, Ryosuke Harakawa, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.) |
In tunnel construction, it is important to grasp the geological condition of the rock to shorten the construction period... [more] |
MMS2019-32 HI2019-32 ME2019-54 AIT2019-32
pp.291-294 |
| ME, IEICE-IE, IEICE-ITS, MMS, HI, AIT [detail] |
2019-02-20
11:15 |
Hokkaido |
Hokkaido Univ. |
A note on detection of distress regions in subway tunnels from laser data
-- Visualization of distress regions with fully convolutional networks --
Akira Toyoda, Ryosuke Harakawa, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.) |
[more] |
MMS2019-33 HI2019-33 ME2019-55 AIT2019-33
pp.295-299 |
| ME, IEICE-IE, IEICE-ITS, MMS, HI, AIT [detail] |
2019-02-20
11:30 |
Hokkaido |
Hokkaido Univ. |
A Note on Popularity Prediction of Artists on Music Streaming Services Based on Network Analysis Using Heterogeneous Features
Yui Matsumoto, Ryosuke Harakawa, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.) |
This paper presents a novel method to predict popularity of artists on music streaming services based on network analysi... [more] |
MMS2019-34 HI2019-34 ME2019-56 AIT2019-34
pp.301-306 |
| ME, IEICE-IE, IEICE-ITS, MMS, HI, AIT [detail] |
2019-02-20
11:45 |
Hokkaido |
Hokkaido Univ. |
A Note on Twitter Followee Recommendation Based on Adaptive Integration of Multiple Classification Results
Shoji Takimura, Ryosuke Harakawa, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.) |
This paper presents a recommendation method of users who are expected to be followed by a target user in Twitter. The pr... [more] |
MMS2019-35 HI2019-35 ME2019-57 AIT2019-35
pp.307-310 |
| ME, IEICE-IE, IEICE-ITS, MMS, HI, AIT [detail] |
2019-02-20
13:00 |
Hokkaido |
Hokkaido Univ. |
A note on automatic malignant tumor candidate detection based on a 3D deep residual network with FDG-PET/CT images
Zongyao Li, Ren Togo, Takahiro Ogawa, Kenji Hirata, Osamu Manabe, Tohru Shiga, Miki Haseyama (Hokkaido Univ.) |
In this paper, we propose a malignant tumor candidate detection method with FDG-PET/CT images. We design our network bas... [more] |
MMS2019-36 HI2019-36 ME2019-58 AIT2019-36
pp.311-314 |