Online edition: ISSN 2432-6380
[TOP] | [2018] | [2019] | [2020] | [2021] | [2022] | [2023] | [2024] | [Japanese] / [English]
ICSS2024-1
Construction of a simulation environment for HEMS and experiments using MAPPO
Ryuto Shimizu, Xun Shao (TUT)
pp. 1 - 6
ICSS2024-2
Optimal partitioning method among heterogeneous edge nodes in CNN models
Ryoya Okamoto, Xun Shao (TUT)
pp. 7 - 12
ICSS2024-3
A Study on Optimization of Virtual Network Embedding by Deep Reinforcement Learning
Sumire Yoneno, Shao Xun (Toyohashi Tech)
pp. 13 - 18
ICSS2024-4
A mechanism for detecting inconsistency between Network Design and Current State based on network ontology Bonsai
Kosuke Mori (Keio Univ.), Takao Kondo (Hokkaido Univ.), Fumio Teraoka (Keio Univ.)
pp. 19 - 26
ICSS2024-5
Domain block list using Xor Filter to achieve memory efficiency in P4
Kentaro Haruna, Daisuke Kotani, Yasuo Okabe (Kyoto Univ.)
pp. 27 - 34
ICSS2024-6
[Invited Talk]
Basic SecCap: Practical Security Education Based on Inter-University Collaboration
Tokumi Yokohira (Okayama Univ.), Hideaki Sone (Tohoku Univ.), Hideki Sunahara (Keio Univ.), Satoru Izumi (Tohoku Unvi./NIT, Sendai College), Miyuki Hirose (Kyutech/TDU), Daiya Kato (Keio Univ.)
p. 35
ICSS2024-7
(See Japanese page.)
pp. 36 - 41
ICSS2024-8
Detecting Web Push Notifications that Induce Users to Phishing Sites using Image Similarity
Rion Matsuzaki, Masaya Sato (Okayama Prefectural Univ.)
pp. 42 - 47
ICSS2024-9
Development and evaluation of congestion estimation sensing system with self-learning function using 3D LiDAR
Kenji Murase, Hideaki Miyaji, Hiroshi Yamamoto (Ritsumeikan Univ.)
pp. 48 - 54
ICSS2024-10
Development and evaluation of form analysis sensing system with self-learning function for track and field events
Nami Shimizu, Hideaki Miyaji, Hiroshi Yamamoto (Ritsumeikan)
pp. 55 - 60
ICSS2024-11
Development and evaluation of evacuation drill support network system with action history sharing function among participants
Riku Tono, Hideaki Miyaji, Hiroshi Yamamoto (Ritsumeikan Univ.)
pp. 61 - 66
Note: Each article is a technical report without peer review, and its polished version will be published elsewhere.