Presentations -
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Implementation of a highly adaptive interior simulator using GrabCut and LAMA
Seishin Yamamura, Kunihito Yamamori
2025 "Hinokuni - Land of Fire" Information Processing Symposium (HINOKUNI2025) 2025.3.5
Event date： 2025.3.5 - 2025.3.6
Language：Japanese Presentation type：Oral presentation (general)
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Interior layout image generation by the combination of GrabCut and Large-mask inpainting algorithm with 3D furniture models International conference
Seishin Yamamura, Kunihito Yamamori, Ryo SAITO
The Thirtieth International Symposium on Artificial Life and Robotics 2025 (AROB 30th 2025) 2025.1.24
Event date： 2025.1.22 - 2025.1.24
Language：English Presentation type：Oral presentation (general)
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Constaria: a chatbot for long-term consistent conversation International conference
Shuta Yamane, Daisuke Amaki, Kunihito Yamamori
The Thirtieth International Symposium on Artificial Life and Robotics 2025 (AROB 30th 2025) 2025.1.24
Event date： 2025.1.22 - 2025.1.24
Language：English Presentation type：Oral presentation (general)
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An active listening and responding system with empathy enhancing filter using ChatGPT International conference
Daisuke AMAKI, Shuta YAMANE, Kunihito YAMAMORI
The Thirtieth International Symposium on Artificial Life and Robotics 2025 (AROB 30th 2025) 2025.1.24
Event date： 2025.1.22 - 2025.1.24
Language：English Presentation type：Oral presentation (general)
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An approach for driving manner improvement by a gamepad-controlled driving simulator International conference
Kotaro SHIIKI, Shuta YAMANE, Kunihiko YAMAMORI
The Thirtieth International Symposium on Artificial Life and Robotics 2025 (AROB 30th 2025) 2025.1.24
Event date： 2025.1.22 - 2025.1.24
Language：English Presentation type：Oral presentation (general)
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Transformer-based video captioning with object motion in video
Koya Kimura, Ryo Saito, Kunihito Yamamori
2024 "Hinokuni - Land of Fire" Information Processing Symposium (HINOKUNI2024) 2024.3.13
Event date： 2024.3.13 - 2024.3.14
Language：Japanese Presentation type：Oral presentation (general)
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Twin-Encoder Approach for Automatic Video Captioning International conference
Koya Kimura, Ryo Saito, Kunihito Yamamori
Proc. 29th International Symposium on Artificial Life and Robotics (AROB 29th 2024) 2024.1.26
Event date： 2024.1.24 - 2024.1.26
Language：English Presentation type：Oral presentation (general)
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Comparative of machine learning algorithms for NIDS under the same environment International coauthorship
Masaki Tagawa, Kunihito Yamamori, Ryo Saito
2023 "Hinokuni - Land of Fire" Information Processing Symposium 2023.3.13
Event date： 2023.3.13 - 2023.3.14
Language：Japanese Presentation type：Oral presentation (general)
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Performance of Machine Learning base NIDS on Re-organized Kyoto 2016 Dataset International conference
Ryo Saito, Masaru Aikawa, Kunihito Yamamori
The Twenty-Eighth International Symposium on Artificial Life and Robotics (AROB 28th 2023) 2023.1.27
Event date： 2023.1.25 - 2023.1.27
Language：English Presentation type：Oral presentation (general)
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Robustness comparison of machine learning algorithms for NIDS under the same environment International conference
Masaki Tagawa, Kunihito Yamamori, Masaru Aikawa
The Twenty-Eighth International Symposium on Artificial Life and Robotics (AROB 28th 2023) 2023.1.27
Event date： 2023.1.25 - 2023.1.27
Language：English Presentation type：Oral presentation (general)
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Driving trajectory optimization by reinforcement learning for motorsports International conference
Akinobu Iwai, Masaru Aikawa, Kunihito Yamamori
The Twenty-Seventh International Symposium on Artificial Life and Robotics 2022 2022.1.25
Event date： 2022.1.25 - 2022.1.27
Language：English Presentation type：Oral presentation (general)
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Heuristic base music arrangement suppressing on discord progression International conference
Kosuke Yoshida, Masaru Aikawa, Kunihito Yamamori
The Twenty-Seventh International Symposium on Artificial Life and Robotics 2022 2022.1.25
Event date： 2022.1.25 - 2022.1.27
Language：English Presentation type：Oral presentation (general)
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ターゲットプロテオミクスによる複数の食品機能性の同時推定
永濱清子，太田輝，黒木勝久，山森一人，水光正仁，榊原陽一
第27回 日本生物工学会九州支部大分大会（2021） 2021.12.4
Event date： 2021.12.4
Language：Japanese Presentation type：Oral presentation (general)
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Simultaneous estimation of multiple food functions of food components using targeted proteomics approach International conference
Kiyoko Nagahama, Akira Ota, Katsuhisa Kurogi, Kunihito Yamamori, Yoichi Sakakibara
10th Asia-oceania Human Proteome Organization Congress 2021.6
Event date： 2021.6.30 - 2021.7.2
Language：English Presentation type：Poster presentation
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Delivery Route Sub-optimization Combined by Google Distance Matrix API and Genetic Algorithm
Yoshitaka Matsushita, Masaru Aikawa, Kentaro Inoue, Kunihito Yamamori
2021 "Hinokuni - Land of Fire" Information Processing Symposium (Online(Zoom)) Kyushu Branch of the Information Processing Society of Japan
Event date： 2021.3.1 - 2021.3.2
Language：Japanese Presentation type：Oral presentation (general)
Venue：Online(Zoom)
We propose and evaluate a delivery route optimization method including random redelivery requests. The combination of Genetic Algorithm and enumeration method is used to determine the delivery route. Genetic algorithm and enumeration method are one of the popular solution methods to solve Traveling Salesman Problem.
In this research, we will use the Distance Matrix API(Application Programming Interface) provided by Google to obtain the real distances between destinations. The proposed method is evaluated by delivery simulation with varying parameters such as delivery destinations and delivery area. -
Development of WAF Mod Security tuning tool supported by machine learning for log analysis
Chihiro Kudo, Kunihito Yamamori, Masaru Aikawa, Kentaro Inoue, Ryo Saito
2021 "Hinokuni - Land of Fire" Information Processing Symposium (Online(Zoom)) Kyushu Branch of the Information Processing Society of Japan
Event date： 2021.3.1 - 2021.3.2
Language：Japanese Presentation type：Oral presentation (general)
Venue：Online(Zoom)
Setting of detection rules, which is the key to the operation of WAF, is a difficult and complex task, it requires specialized knowledge such as log analysis and understanding for correction of detection rule description language. Therefore, it is difficult task for small and medium enterprises and individual engineers who cannot pay learning and financial cost. In this research, we propose a method to detect false positives from WAF logs by automatic log analysis
using machine learning, and to support the correction of detection rules that can be expected to reduce the total number of misdetections. -
Network Design for Session Type NIDS International conference
Ryo Saito, Kunihito Yamamori, Masaru Aikawa, Kentaro Inoue
THE TWENTY-SIXTH INTERNATIONAL SYMPOSIUM ON ARTIFICIAL LIFE AND ROBOTICS (AROB 26th 2021) (Online) International Society of Artificial Life and Robotics
Event date： 2021.1.21 - 2021.1.23
Language：English Presentation type：Oral presentation (general)
Venue：Online
In this paper, we propose a network design for session-type Network-based Intrusion Detection System (NIDS). We focus on the network itself, network availability and stream data handling to achieve the practical session type NIDS. NIDS insertion cost depends on the network design, and it tends to increase. When the inserted NIDS fails, communications may be blocked depending on the insertion style. We use the Address Resolution Protocol (ARP) to reduce the cost of inserting NIDS into the network. And, our design prepares an independent controller from NIDS to improve the network vailability. After inserting the NIDS into the network, NIDS starts monitoring of the packets. And a large amount of memory is required to build a session from the packets. The proposed NIDS only focuses on the headers of some protocols to reduce memory usage.
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Delivery Route Suboptimization Combined by Map Application and Genetic Algorithm International conference
Yoshitaka Matsushita, Masaru Aikawa, Kentaro Inoue, Kunihito Yamamori
THE TWENTY-SIXTH INTERNATIONAL SYMPOSIUM ON ARTIFICIAL LIFE AND ROBOTICS (AROB 26th 2021) (Online) International Society of Artificial Life and Robotics
Event date： 2021.1.21 - 2021.1.23
Language：English Presentation type：Oral presentation (general)
Venue：Online
In this paper, we aim to propose and evaluate a delivery route optimization method including random redelivery requests. An arrangement of Genetic Algorithm and enumeration method is used to determine the delivery route. Genetic algorithm and enumeration method are one of the popular solution methods to solve Traveling Salesman Problem. During the experiments, a map application will be used to obtain real distances. In the environment for experiments, absent destinations are randomly arranged and redelivery requests also randomly occur. Experiments showed that our method could present the delivery route even if 30% of destinations were absent and 60% of those sent redelivery requests when we set the number of destinations to 20.
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Tuning Support Tool forWAF Mod Security by Log Analysis with Machine Learning International conference
Chihiro Kudo, Kunihito Yamamori, Masaru Aikawa, Kentaro Inoue, Ryo Saito
THE TWENTY-SIXTH INTERNATIONAL SYMPOSIUM ON ARTIFICIAL LIFE AND ROBOTICS (AROB 26th 2021) (Online) International Society of Artificial Life and Robotics
Event date： 2021.1.21 - 2021.1.23
Language：English Presentation type：Oral presentation (general)
Venue：Online
In this research, we develop and evaluate a tool that supports tuning work of WAF (Web Application Firewall). The tuning of WAF is very hard because a lot of new vulnerabilities are found in every day, and deep understanding of computer and network securities are required. At the tuning work, attack detection rules are set to reduce misdetections. Misdetection has two attributes, false positive and false negative. In this research, we aim to reduce false positives because WAF operators has to deal with every positive detection for secure operation of their web services. Our tool makes a classifier train by machine learning algorithm with a dataset including true positives and false positives, and the classifier obtains rules how to classify a communication is an attack or not. When a false positive detection will occur, then our tool gives the WAF operators an advice to correct the attack detection rules.
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Reinforcement Learning Approach for Imperfect Information Games International conference
Akinobu Iwai, Kunihito Yamamori, Masaru Aikawa, Kentaro Inoue
THE TWENTY-SIXTH INTERNATIONAL SYMPOSIUM ON ARTIFICIAL LIFE AND ROBOTICS (AROB 26th 2021) (Online) International Society of Artificial Life and Robotics
Event date： 2021.1.21 - 2021.1.23
Language：English Presentation type：Oral presentation (general)
Venue：Online
In this paper, we show whether Reinforcement Learning(RL) is effective or not for incomplete information game. We apply RL approach to a multiplayer incomplete information game ”Inferno”. RL is one of the machine learning algorithm to learn policies to choose an action of agent at the specific situation in virtual simulation environment. RL agents learn what action choices to make to win the game. RL plays the game against two different bots. We evaluate the proposed method by the score.