Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
CCS |
2023-03-26 09:00 |
Hokkaido |
RUSUTSU RESORT |
A UAV Traffic Prediction Using AP Selection Method Based on Stochastic Evolutionary Game Theory Reon Takanashi, Sumiko Miyata (SIT) CCS2022-63 |
[more] |
CCS2022-63 pp.1-6 |
CCS |
2023-03-26 09:20 |
Hokkaido |
RUSUTSU RESORT |
Handover Control Based on Sojourn Time in Heterogeneous Ultra-Dense Arrangements of Cells Hiroya Kanazawa, Sumiko Miyata (SIT) CCS2022-64 |
As the number of mobile connections increases, small cells such as the recently introduced 5G base stations are deployed... [more] |
CCS2022-64 pp.7-12 |
CCS |
2023-03-26 09:40 |
Hokkaido |
RUSUTSU RESORT |
Load Balancing Approach for M/M/1 Cloudlet Model using Non-Cooperative Game Theory Yuki Yokota, Sumiko Miyata (SIT) CCS2022-65 |
Cloudlet is a computer group which exists within the same Local Area Network, and can be accessed by 1 hop by all the us... [more] |
CCS2022-65 pp.13-18 |
CCS |
2023-03-26 10:00 |
Hokkaido |
RUSUTSU RESORT |
A DDoS detection method in SDN using conditional entropy based on three types of traffic Tian Qiwen, Miyata Sumiko (SIT) CCS2022-66 |
[more] |
CCS2022-66 pp.19-24 |
CCS |
2023-03-26 10:35 |
Hokkaido |
RUSUTSU RESORT |
Acquisition of physical kinetics of machines by reservoir computing Sena Kojima, Koki Minagawa, Taisei Saito, Tetsuya Asai (Hokkaido Univ.) CCS2022-67 |
This report focuses on an anomaly detection application of a machine’s dynamical system using reservoir computing. We pr... [more] |
CCS2022-67 pp.25-30 |
CCS |
2023-03-26 10:55 |
Hokkaido |
RUSUTSU RESORT |
A Stochastic Memory for Ultralow-Power IoT Devices and its Subthreshold CMOS Circuit Implementation Seiya Muramatsu, Kohei Nishida, Kota Ando (Hokkaido Univ.), Megumi Akai-Kasaya (Osaka Univ./Hokkaido Univ.), Tetsuya Asai (Hokkaido Univ.) CCS2022-68 |
We propose a CMOS circuit implementation of a memory circuit for ultralow-power IoT devices based on stochastic computin... [more] |
CCS2022-68 pp.31-35 |
CCS |
2023-03-26 11:15 |
Hokkaido |
RUSUTSU RESORT |
Hardware Implementation of Predictive Coding Networks based on the Free Energy Principle Naruki Hagiwara, Takafumi Kunimi, Kota Ando (Hokkaido Univ.), Megumi Akai (Hokkaido Univ./Osaka Univ.), Tetsuya Asai (Hokkaido Univ.) CCS2022-69 |
Agents form generative models in the brain through perception and actions for adapting to the external environment. In t... [more] |
CCS2022-69 pp.36-41 |
CCS |
2023-03-26 11:35 |
Hokkaido |
RUSUTSU RESORT |
A Study on Hardware Architectures of Ensemble Kalman Filters towards High-Speed and Memory-Efficient Online Learning for Reservoir Computing Kota Tamada, Yuki Abe, Kose Yoshida, Tetsuya Asai (Hokkaido Univ) CCS2022-70 |
The objective of this study was to develop a hardware architecture for an ensemble Kalman filter in reservoir computing.... [more] |
CCS2022-70 pp.42-47 |
CCS |
2023-03-26 13:15 |
Hokkaido |
RUSUTSU RESORT |
Classification performance evaluation of untrained and trained data in Bayesian neural network and CNN ensemble Koki Minagawa, Taisei Saito, Sena Kojima, Tetsuya Asai (Hokkaido Univ.) CCS2022-71 |
The ditection of untrained (Out-of-Distribution; OOD) data is one of the problems in neural networks.
In this study, we... [more] |
CCS2022-71 pp.48-53 |
CCS |
2023-03-26 13:35 |
Hokkaido |
RUSUTSU RESORT |
Analysis of learning performance in CycleGAN by applying data augmentation to few data Syuhei Kanzaki, Hidehiro Nakano (Tokyo City Univ.) CCS2022-72 |
In machine learning and deep learning, a huge amount of data is required for training. The image generation model GAN ex... [more] |
CCS2022-72 pp.54-58 |
CCS |
2023-03-26 13:55 |
Hokkaido |
RUSUTSU RESORT |
Study on tge Implementation of AI for Generating Humorous Response Sentence to Image Using AutoEncoder and Pix2Seq Ryo Yamatomi, Shahrzad Mahboubi, Hiroshi Ninomiya (SIT) CCS2022-73 |
[more] |
CCS2022-73 pp.59-62 |
CCS |
2023-03-26 14:15 |
Hokkaido |
RUSUTSU RESORT |
A novel optimizer architecture with multi-phase quantization towards online-learning edge AI hardware Itsuki Akeno, Tetsuya Asai, Kota Ando (Hokkaido Univ.) CCS2022-74 |
[more] |
CCS2022-74 pp.63-68 |
CCS |
2023-03-26 14:50 |
Hokkaido |
RUSUTSU RESORT |
Performance Analysis for Wireless Power Communication Networks Considering Energy-Request Communication Ritsuki Ito, Atsuhiro iwaki, Kosuke Sanada, Hiroyuki Hatano, Kazuo Mori (Mie Univ) CCS2022-75 |
Wireless Power Charging and Communication Network (WPCN) is a network integrating Wireless Information Transmission (WIT... [more] |
CCS2022-75 pp.69-74 |
CCS |
2023-03-26 15:10 |
Hokkaido |
RUSUTSU RESORT |
Performance Evaluations of Self-organized Power Selection in GF-NOMA for mMTC Unider Limited Transmission Power Rei Oda, Takeshi Hirai, Naoki Wakamiya (Osaka Univ.) CCS2022-76 |
This paper evaluates the throughput of the self-organized power selection method in the grant-free power domain non-orth... [more] |
CCS2022-76 pp.75-80 |
CCS |
2023-03-26 15:30 |
Hokkaido |
RUSUTSU RESORT |
Throughput Analysis by Stochastic Geometry of the Slotted Spatial ALOHA Tomoki Ichimura, Shigeo Shioda (Chiba Univ.), Takeshi Hirai (Osaka Univ.) CCS2022-77 |
[more] |
CCS2022-77 pp.81-84 |
CCS |
2023-03-26 16:05 |
Hokkaido |
RUSUTSU RESORT |
Simple Applications of WiBIC with Asynchronous Pulse Code Multiple Access Jiaying Lin, Ryuji Nagazawa, Kien Nguyen (Chiba Univ.), Hiroyuki Torikai (Hosei Univ.), Mikio Hasegawa (Tokyo Univ.), Won-Joo Hwang (Pusan National Univ.), Hiroo Sekiya (Chiba Univ.) CCS2022-78 |
In this study, we propose to combine Spiking Neural Network and IoT network to construct a distributed information proce... [more] |
CCS2022-78 pp.85-90 |
CCS |
2023-03-26 16:25 |
Hokkaido |
RUSUTSU RESORT |
Scalable Channel Allocation in Downlink NOMA Using Parallel Array of Laser Chaos Decision-Maker Masaki Sugiyama (TUS), Li Aohan (UEC), Makoto Naruse (UTokyo), Mikio Hasegawa (TUS) CCS2022-79 |
Non-orthogonal multiple access (NOMA) is a technology that allows multiple users to share the same channel with appropri... [more] |
CCS2022-79 pp.91-96 |
CCS |
2023-03-26 16:45 |
Hokkaido |
RUSUTSU RESORT |
Applying Reinforcement Learning Algorithms to Selecting Ground Station in Satellite-Terrestrial Optical Communication Keigo Makizoe, Atsuhiro Yumoto (TUS), Koji Oshima, Suzuki Kenji (NICT), Mikio Hasegawa (TUS) CCS2022-80 |
Optical satellite communications enable high-capacity communications, one of the fundamental technologies for a non-terr... [more] |
CCS2022-80 pp.97-100 |
CCS |
2023-03-26 17:05 |
Hokkaido |
RUSUTSU RESORT |
An Evil-Twin Attack Detection Considering RTT Dispersion during Traffic Congestion Tomoyuki Ueda, Sumiko Miyata (SIT) CCS2022-81 |
[more] |
CCS2022-81 pp.101-106 |
CCS |
2023-03-27 09:00 |
Hokkaido |
RUSUTSU RESORT |
Medical Image Segmentation with Inverse Heat Dissipation Model Yu Kashihara, Takashi Matsubara (Osaka Univ.) CCS2022-82 |
The diffusion model is a generative model based on stochastic transitions and has been successfully used to generate
an... [more] |
CCS2022-82 pp.107-112 |