Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
ME |
2024-10-22 10:30 |
Tokyo |
Kikai-Shinko-Kaikan Bldg. |
Study on Digital Twin of River by 3D Modeling for Flow Path Health Assessment Phonepaserth Sisaykeo, Hiroyasu Yasuda, Kiyoshi Hayasaka, Shogo Muramatsu (Niigata Univ.) |
This study presents a novel approach to develop a river health assessment measure by leveraging a digital twin, develope... [more] |
ME2024-96 pp.30-35 |
ME, JSPE-IAIP |
2024-08-22 13:20 |
Toyama |
Nagoya Kasadera Hotel |
[Poster Presentation]
- Mitsuo Okamoto, Yuki Ohara, Hiroyasu Yasuda, Keiji Hayasaka (Niigata Univ.), Shunsuke Ono (Tokyo Inst. of Tech.), Shogo Muramatsu (Niigata Univ.) |
[more] |
ME2024-59 pp.8-11 |
ME, JSPE-IAIP |
2024-08-22 14:50 |
Toyama |
Nagoya Kasadera Hotel |
[Poster Presentation]
- Shu Abe, Shogo Muramatsu (Niigata Univ.) |
[more] |
ME2024-64 pp.27-30 |
ME, IST, IEICE-BioX, IEICE-SIP, IEICE-MI, IEICE-IE [detail] |
2024-06-06 13:10 |
Niigata |
Nigata University (Ekinan-Campus "TOKIMATE") |
3-Way Locally-Structured Unitary Network for Volumetric Data Processing Miyu Maruyama, Yasas Godage, Shogo Muramatsu (Niigata Univ.) |
This work proposes a 3-Way Locally Structured Unitary Network (3-Way LSUN) as a volumetric data analysis method. With ad... [more] |
IST2024-23 ME2024-48 pp.7-10 |
ME |
2023-12-15 09:30 |
Niigata |
Niigata Univ. (Primary: On-site, Secondary: Online) |
Restoration of Microwave Radar River Observation Movies by Spatio-Temporal Total Variation Regularization Mitsuki Okamoto, Yuki Ohara, Shogo Muramatsu, Hiroyasu Yasuda, Kiyoshi Hayasaka (Niigata Univ.), Shunsuke Ono (Tokyo Tech) |
This report introduces a method for restoring microwave radar river observation images using spatiotemporal total variat... [more] |
ME2023-101 pp.29-32 |
ME, JSPE-IAIP |
2023-08-29 09:40 |
Aichi |
Nagoya Kasadera Hotel |
* Tatsuki Inoue, Yuki Hara, Shogo Muramatsu, Yoshiro Chuman (Niigata Univ.) |
[more] |
ME2023-83 pp.56-59 |
ME |
2023-07-21 13:30 |
Online |
Online |
Microwave Radar River Observation Image Recovery by Total Variation Regularization Mitsuki Okamoto, Yuki Ohara, Shogo Muramatsu, Hiroyasu Yasuda, Kiyoshi Hayasaka (Niigata Univ) |
[more] |
ME2023-62 pp.1-4 |
ME |
2023-07-21 14:00 |
Online |
Online |
Consideration of Plant Model for River Channel Active Control Cyber-Physical System Sekiya Futamura, Shogo Muramatsu, Hiroyasu Yasuda, Kiyoshi Hayasaka (Niigata Univ) |
[more] |
ME2023-63 pp.5-8 |
ME |
2022-07-22 15:50 |
Online |
Online |
On OCT Volume Data Restoration by Introducing Inter-scale Thresholding Masaki Kakihara, Shogo Muramatsu (Niigata Univ.) |
This study proposes a restoration model for volumetric data acquired by an optical coherence tomography (OCT) device.
A... [more] |
ME2022-69 pp.19-22 |
ME |
2022-07-22 16:20 |
Online |
Online |
Image Classification of Cancer Cells Treated with IRDAptermer Rahman Rawnak Mim, Yuuka Yamagata, Yoshiro Chuman, Shogo Muramatsu (Niigata Univ.) |
This work evaluates convolutional neural network (CNN)-based image classifiers for determining the effect of a cell memb... [more] |
ME2022-70 pp.23-26 |
IST, ME, IEICE-IE, IEICE-SIP, IEICE-BioX [detail] |
2021-06-04 14:45 |
Online |
Online |
Acceleration of High-Dimensional Signal Restoration with Primal-Dual Splitting Gai Yamamoto, Shogo Muramatsu (Niigata Univ.) |
In this report, an acceleration technique is proposed for high-dimensional signal restoration. In general, it is inevita... [more] |
IST2021-26 ME2021-57 pp.81-86 |
IST, ME, IEICE-IE, IEICE-SIP, IEICE-BioX [detail] |
2021-06-04 15:15 |
Online |
Online |
Acceleration of Dictionary Learning by Non-Separable Oversampled Lapped Transform for Image Restoration Soushi Takahashi, Shogo Muramatsu (Niigata Univ.) |
This study proposes to accelerate example-based design of non-separable oversampled lapped transform (NSOLT) for image r... [more] |
IST2021-27 ME2021-58 pp.87-92 |
IST |
2020-11-20 15:15 |
  |
Online |
[Invited Talk]
Optical coherence microscope using high-speed CMOS camera for intracochlear vibration visualization Samuel Choi, Shogo Muramatsu (Niigata univ.), Fumiaki Nin (Gifu Univ.), Takeru Ota, Hiroshi Hibino (Niigata Univ.) |
[more] |
IST2020-50 pp.35-40 |
ME, JSPE-IAIP |
2020-09-07 13:55 |
Online |
Online |
* Kazuki Sakashita, Shogo Muramatsu (Niigata Univ.) |
[more] |
ME2020-96 pp.27-30 |
IEICE-MI, IEICE-IE, IEICE-SIP, IEICE-BioX, IST, ME [detail] |
2020-05-28 10:50 |
Online |
Online |
[Special Talk]
High-dimensional Signal Restoration by Convolutional Networks Driving Fusion Across Multiple Disciplines
-- Sparse Modeling and Convolutional Dictionary Learning -- Shogo Muramatsu (Niigata Univ.) |
This talk outlines a restoration process of high-dimensional signals such as image and volumetric data. With the develop... [more] |
IST2020-30 ME2020-81 p.13 |
ME |
2013-02-16 14:15 |
Kanagawa |
Kanto Gakuin Univ. |
KINECT-Based Gesture Recognition for Metal Sheet Inspection System Hai Yao, Norihisa Terasawa, Shogo Muramatsu, Takamasa Suzuki (Niigata Univ), Toshiro Oitate (Totsuka Metal Corp) |
[more] |
ME2013-24 pp.89-90 |
ME, JSPE-IAIP |
2009-08-28 08:30 |
Mie |
|
Boundary Operations for Directional GenLOT Tomoya Kobayashi, Minoru Hiki, Shogo Muramatsu, Hisakazu Kikuchi (Niigata Univ.) |
[more] |
ME2009-143 pp.67-68 |
ME, IEICE-BS |
2008-12-18 13:00 |
Niigata |
Niigata Univ. |
Directional Adaptive Nonseparable Interpolation Filter for Sub-pixel Motion Compansation Minoru Hiki, Shogo Muramatsu, Hisakazu Kikuchi (Niigata Univ.) |
[more] |
|
ME, IEICE-BS |
2008-12-18 13:50 |
Niigata |
Niigata Univ. |
Second Vanishing Moment Constraints on 2-D GenLOT and Its Directional Design Shogo Muramatsu, Atsuyuki Adachi (Niigata Univ.) |
This work proposes a novel design method of 2-D non-separable linear-phase paraunitary filter banks (LPPUFB). Especially... [more] |
|