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Technical Committee on Artificial Intelligence and Knowledge-Based Processing (AI) (Searched in: 2023)
Search Results: Keywords 'from:2023-09-12 to:2023-09-12'
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| AI | 2023-09-12 14:15 |
Hokkaido | Examination and Evaluation of Robot-Guided Evacuation Method Considering Congestion at Stairs Masafumi Hombe, Takahiro Uchiya (Nitech)  AI2023-1 |
Evacuation guidance is one response that is taken when a disaster occurs. Currently, humans are in charge of evacuation ... [more] | AI2023-1 pp.1-6 |
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| AI | 2023-09-12 14:35 |
Hokkaido | Mixed Traffic Simulation of Personal Mobility Vehicles and Pedestrians Using Social Force Model Naoki Akiyama, Hideki Fujii, Shinobu Yoshimura (The Univ. of Tokyo) AI2023-2 |
In recent years, personal mobility vehicles, such as Segway and electric scooter, have attracted attention as a new mean... [more] | AI2023-2 pp.7-10 |
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| AI | 2023-09-12 14:55 |
Hokkaido | Multi-Agent Traffic Simulations with Agent Control based on Logic Programming Languages Mamoru Yoshizoe, Hiromitsu Hattori (Ritsumeikan Univ.) AI2023-3 |
[more] | AI2023-3 pp.11-18 |
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| AI | 2023-09-12 15:15 |
Hokkaido | A Study on the Implementation of Cooperative CAVs by Sharing the Observation Information Using Simulations and Considerations Based on Qualitative Evaluation Ken Matsuda (Graduate School of FUN), Ei-Ichi Osawa (FUN) AI2023-4 |
This study focuses on cooperative connected autonomous vehicles (cooperative CAVs). This research aims to propose a simu... [more] | AI2023-4 pp.19-24 |
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| AI | 2023-09-12 15:35 |
Hokkaido | Visualization of Inference Process of Autonomous System Misaki Kinoshita (Nara Women's Univ.) AI2023-5 |
Autonomous agent systems (hereafter referred to as "autonomous systems"), which do not act according to human instructio... [more] | AI2023-5 pp.25-32 |
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| AI | 2023-09-12 15:55 |
Hokkaido | AI2023-6 |
(To be available after the conference date) [more] | AI2023-6 pp.33-36 |
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| AI | 2023-09-12 16:30 |
Hokkaido | Macroeconomic Analysis and Multi-Agent Simulation Obata, Takahiro (University of Tsukuba), Sakazaki, Jun (Studio Flux), Kurahashi, Setsuya (University of Tsukuba) AI2023-7 |
(To be available after the conference date) [more] | AI2023-7 pp.37-40 |
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| AI | 2023-09-12 16:50 |
Hokkaido | Analysis of emergence in differential scenario generation for large-scale crowd simulation Niwa Ryo, Takami Shunki, Shigenaka Shusuke (Tsukuba Univ.), Onishi Masaki, Naito Wataru, Yasutaka Tetsuo (AIST) AI2023-8 |
[more] | AI2023-8 pp.41-44 |
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| AI | 2023-09-12 17:10 |
Hokkaido | Visualization of Parameter Effects in Pedestrian Flow Simulation Considering Multiple Metrics Chisa Mori (Ochanomizu Univ.), Mei Takeda (Tsukuba Univ.), Masaki Onishi (AIST), Takayuki Itoh (Ochanomizu Univ.) AI2023-9 |
Pedestrian flow simulation is an effective approach for predicting human behaviors and movement patterns in practical sc... [more] | AI2023-9 pp.45-49 |
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| AI | 2023-09-12 17:30 |
Hokkaido | Studying the applicability of deep learning to Human and Car Prediction in large-scale MAS simulations Kota Takeshita, Kentaro Eguchi, Takaaki Miyajima (Meiji Univ.) AI2023-10 |
(To be available after the conference date) [more] | AI2023-10 pp.50-55 |
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| AI | 2023-09-13 09:00 |
Hokkaido | Implementation of Dynamic Simulation Pruning Strategy in the Assimilation of Large-scale Pedestrian Simulation Shunki Takami (Univ. of Tsukuba), Ryo Ishiyama (Kyushu Univ.), Shusuke Shigenaka (Univ. of Tsukuba), Masaki Onishi (AIST), Itsuki Noda (Hokkaido Univ.) AI2023-11 |
An implementation method for a dynamic simulation pruning strategy in assimilating large-scale pedestrian simulation is ... [more] | AI2023-11 pp.56-59 |
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| AI | 2023-09-13 09:20 |
Hokkaido | Designing Synthetic Traffic Management Policies based on Parallel MASS Naoki Sugie, Hiromitsu Hattori (Ritsumeikan Univ.) AI2023-12 |
The interaction between the urban transportation environment and human mobility is a complex phenomenon, and solving the... [more] | AI2023-12 pp.60-65 |
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| AI | 2023-09-13 09:40 |
Hokkaido | AI2023-13 |
(To be available after the conference date) [more] | AI2023-13 pp.66-71 |
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| AI | 2023-09-12 14:15 |
Hokkaido | Agent Strategy Introduced Dynamic Price Adjustment by Transaction Status and Statistics for Supply Chain Management Ryoga Miyajima, Katsuhide Fujita (TUAT) AI2023-14 |
Automatic negotiation is attracting attention as a means of agreement-making in multi-agent systems. The International A... [more] | AI2023-14 pp.72-76 |
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| AI | 2023-09-12 14:35 |
Hokkaido | Proposal of effective location information privacy protection method using measurement equipment error Riho Isawa, Yuichi Sei, Yasuyuki Tahara, Akihiko Ahsuga (UEC) AI2023-15 |
In recent years, systems that publicly share statistical data based on people's location information, such as congestion... [more] | AI2023-15 pp.77-82 |
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| AI | 2023-09-12 14:55 |
Hokkaido | Event-Driven Reinforcement Learning with Semi Markov Models for Stable Air-Conditioning Control Hayato Chujo, Arai Sachiyo (Chiba Univ) AI2023-16 |
This study deals with air conditioning control that optimizes room temperature by switching heaters on/off. The control ... [more] | AI2023-16 pp.83-86 |
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| AI | 2023-09-12 15:15 |
Hokkaido | An Efficient Neighborhood Structure for the Kerosene Inventory Routing Problem Hirotaka Ooe, Soichiro Yokoyama, Tomohisa Yamashita, Hidenori Kawamura (Hokudai), Mitsuo Tada (ZeroSpec) AI2023-17 |
Kerosene delivery is a service where kerosene is periodically delivered to ensure that household tanks do not run out. R... [more] | AI2023-17 pp.87-94 |
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| AI | 2023-09-12 15:35 |
Hokkaido | A Comparative Study of Path Prediction Methods Using Deep Learning in the Stanford Drone Dataset Kentaro Eguchi, Kota Takeshita, Takaaki Miyajima (Meiji Univ.) AI2023-18 |
(To be available after the conference date) [more] | AI2023-18 pp.95-100 |
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| AI | 2023-09-12 15:55 |
Hokkaido | Analysis of Conditional Image Generation Methods Using Color Palettes in Animal Personification Task Jianglin Xu, Ryohei Orihara, Yuichi Sei, Yasuyuki Tahara, Akihiko Ohsuga (UEC) AI2023-19 |
With the advent of large-scale pre-trained open-source diffusion models, image generation is now easily accessible to no... [more] | AI2023-19 pp.101-108 |
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| AI | 2023-09-12 16:30 |
Hokkaido | Exploring the Potential of LLM for Review-driven Goal Model Generation Shuaicai Ren, Hiroyuki Nakagawa, Tatsuhiro Tsuchiya (Osaka Univ.) AI2023-20 |
User reviews play a crucial role for developers as they contain expectations regarding new features and bug reports. The... [more] | AI2023-20 pp.109-116 |
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