論文 - 山森 一人
-
Computer aided arrangements using cadences and melodic regularity 査読あり
Kosuke Yoshida, Kunihito Yamamori, Masaru Aikawa, Kentaro Inoue
PROCEEDINGS OF THE TWENTY-SIXTH INTERNATIONAL SYMPOSIUM ON ARTIFICIAL LIFE AND ROBOTICS 529 - 532 2021年1月
記述言語:英語 掲載種別:研究論文(国際会議プロシーディングス)
In this paper, we aim to propose and evaluate music arrangement with computer support. We use cadences and
melodic regularity in music arrangement. Cadences are musical heuristics and rules of transition easiness from a chord to the other chord. Since a lot of music has a regularity that includes the repetition of the same melody within a song, we use regularity to add a chord progression. To evaluate our proposed method, we get our information from questionnaires. In this questionnaire,
naturalness of the music created by our method compared with the music created by cadence only. -
Delivery Route Suboptimization Combined by Map Application and Genetic Algorithm 査読あり
Yoshitaka Matsushita, Masaru Aikawa, Kentaro Inoue, Kunihito Yamamori
PROCEEDINGS OF THE TWENTY-SIXTH INTERNATIONAL SYMPOSIUM ON ARTIFICIAL LIFE AND ROBOTICS 524 - 528 2021年1月
記述言語:英語 掲載種別:研究論文(国際会議プロシーディングス)
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. -
Ma T.M., Yamamori K., Thida A.
2020 IEEE 9th Global Conference on Consumer Electronics, GCCE 2020 324 - 326 2020年10月
担当区分:責任著者 記述言語:日本語 掲載種別:研究論文(学術雑誌) 出版者・発行元:2020 IEEE 9th Global Conference on Consumer Electronics, GCCE 2020
Spam or unsolicited emails that are used by spammers can cause huge loss to both the email users and the email server. Therefore, in order to detect spam emails not to enter into our mailbox, a developed email spam classification system is required. This paper proposes two popular machine learning methods, Naïve Bayes Classifier and Support Vector Machine, to classify the emails into spam or ham based on the body or content of the emails. In Naïve Bayes Classifier, independent words are considered as features. Support Vector Machine can be used to represent an email in vector space in which each feature means one dimension. Finally, two methods are compared in terms of precision, recall, F-measure performance metrics with the aim of finding the best method.
-
Fast Retinex Image Enhancement Using CUDA 国際共著
Kyi Myo Zaw, Kunihito Yamamori, Masaru Aikawa, Aye Min Myat
Memoirs of Faculty of Engineering, Miyazaki University 49 239 - 244 2020年9月
担当区分:責任著者 記述言語:英語 掲載種別:研究論文(大学,研究機関等紀要)
-
Affect of data unbalance in "Kyoto 2016 Dataset" for NIDS with machine learning 査読あり
Ryo Saito, Masaru Aikawa, Kentaro Inoue, Kunihito Yamamori
Proceedings of The Twenty-fifth International Symposium on Artificial Life and Robotics 612 - 616 2020年1月
記述言語:英語 掲載種別:研究論文(国際会議プロシーディングス)
-
Hierarchical policy gradient method with the combination of reinforcement and auxiliary learning 査読あり
Masaya Yoshida, Kentaro Inoue, Masaru Aikawa, Kunihito Yamamori
Proceedings of the 24th International Symposium on Artificial Life and Robotics 706 - 710 2019年1月
記述言語:英語 掲載種別:研究論文(国際会議プロシーディングス)
we aim to improve learning efficiency of reinforcement learning by hierarchical combination of Proximal
Policy Optimization (PPO) and auxiliary tasks. PPO is a method to stabilize learning. Auxiliary tasks are used in UNsupervised
REinforcement and Auxiliary Learning (UNREAL) which is a kind of policy gradient method based on Asynchronous Advantage
Actor-Critic (A3C) for high-speed learning convergence. We aim to improve learning efficiency by combining these two methods. We compare our method with previous methods using two benchmark tasks ‘Hopper’ and HumanoidStandup’ in ‘Gym’ provided by OpenAI. Experimental results showed that the proposed method achieved better performance than that by PPO. -
公開脆弱性データベースを利用した対応順位決定支援ツール
山森一人,齊藤燎,相川勝,井上健太郎
宮崎大学工学部紀要 47 305 - 309 2018年7月
記述言語:日本語 掲載種別:研究論文(大学,研究機関等紀要)
-
Enhanced Home Surveillance Robot System by using Raspberry Pi and Arduino
Win Su San, Kunihito Yamamori, Masayuki Mukunoki, Than New Aung
宮崎大学工学部紀要 47 325 - 329 2018年7月
記述言語:英語 掲載種別:研究論文(大学,研究機関等紀要)
Modern home security systems endorse monitoring and control functions in a remote fashion via devices such as laptops, PDAs, or cell phones1). This work represents a design and implementation of Wi-Fi enabled home surveillance robotic car which detects smoke, flame and intrusions discarding false positives. The robot's movement is controlled manually by the user through the developed GUI over the global internet. The communication between the robot and the user is established via the standard TCP/IP protocol and in case of emergency, the notification will be sent to the user via email. In any case, all sensory data (updated every 500 milliseconds) will be uploaded to the web site and available to the user all the time. Live feed from the camera will be viewable from any web browser.
-
A novel audio fingerprinting method based on music elements for similar music retrieval 査読あり
T.Aoshima, K.Yamamori, M.Aikawa, K.Inoue
Proc. 23rd International Symposium on Artificial Life and Robotics 452 - 456 2018年1月
記述言語:英語 掲載種別:研究論文(国際会議プロシーディングス)
-
Lightweight virtual node protocol for large scale IoT device networks 査読あり
Y.Shinooka, K.Yamamori, M.Aikawa, K.Inoue
Proc. 23rd International Symposium on Artificial Life and Robotics 478 - 483 2018年1月
記述言語:英語 掲載種別:研究論文(国際会議プロシーディングス)
-
Reinforcement learning approach for smart air traffic control support system 査読あり
M.Watanabe, K.Yamamori, M.Aikawa, K.Inoue
Proc. 23rd International Symposium on Artificial Life and Robotics 457 - 461 2018年1月
記述言語:英語 掲載種別:研究論文(国際会議プロシーディングス)
-
Markov chain analysis of Leading Ones problem 査読あり
Du Y., Aoki K., Sakamoto M., Furutani H., Yamamori K.
Artificial Life and Robotics 22 ( 4 ) 443 - 448 2017年12月
記述言語:英語 掲載種別:研究論文(学術雑誌)
Evolutionary algorithms (EAs) are randomized optimization search techniques, and the theoretical study of the first hitting time is very important in the practical applications of EA. We investigate the first hitting time of Leading Ones (LO) problem theoretically on Random Local Search (RLS) algorithm and (1 + 1)EA by absorbing Markov chain. This paper reports the calculation method of the first hitting time on LO problem with (1 + 1)EA and RLS. We found that the results only depend on the length of string, and the hitting times can be given approximately by the quadratic function. In the numerical experiments, we showed the agreement between the results of the practical calculation and the theoretical results. Our results give the good example to predict the running time of the practical EA calculations by Markov chain method.
-
SVMとニューラルネットワークを用いた手書き数字の3段階認識法
山森一人,井野誠也,相川勝
宮崎大学工学部紀要 ( 46 ) 299 - 302 2017年7月
記述言語:日本語 掲載種別:研究論文(大学,研究機関等紀要)
-
TSPにおける異種交叉型異文化島モデルの求解性能評価
山森一人,図師悠佑,相川勝
宮崎大学工学部紀要 ( 46 ) 317 - 320 2017年7月
記述言語:日本語 掲載種別:研究論文(大学,研究機関等紀要)
-
視野制限環境下での追跡問題における強化学習の学習効率向上法
山森一人,吉田雅也,相川勝
宮崎大学工学部紀要 ( 46 ) 313 - 316 2017年7月
記述言語:日本語 掲載種別:研究論文(大学,研究機関等紀要)
-
平行平均畳み込み処置とドロップアウトによる畳み込みニューラルネットワークの汎化能力向上
山森一人,長野泰久,相川勝
宮崎大学工学部紀要 ( 46 ) 309 - 312 2017年7月
記述言語:日本語 掲載種別:研究論文(大学,研究機関等紀要)
-
Improving Software Development in Business Operation Effectively Approached by CMMI
Hnin Thandar Tun, T. Katayama, K. Yamamori, and Khine Khine Oo
宮崎大学工学部紀要 ( 46 ) 285 - 290 2017年7月
記述言語:英語 掲載種別:研究論文(大学,研究機関等紀要)
-
Early Detection of Lung Cancer by Artificial Neural Network and Fuzzy Inference System
Khaing Zin Htwe, K. Yamamori, T. Katayama, and Tin Mar Kyi
宮崎大学工学部紀要 ( 46 ) 321 - 326 2017年7月
記述言語:英語 掲載種別:研究論文(大学,研究機関等紀要)
-
犠打と犠飛を考慮したOERA改良モデルによる日本プロ野球打者の評価
山森一人,大塚蒼,相川勝
宮崎大学工学部紀要 ( 46 ) 303 - 307 2017年7月
記述言語:日本語 掲載種別:研究論文(大学,研究機関等紀要)
-
Markov chain analysis of Leading Ones Problem 査読あり
Yifei Du, Kenji Aoki, Makoto Sakamoto, Hiroshi Furutani, and Kunihito Yamamori
Proceedings of the 22nd International Symposium on Artificial Life and Robotics 520 - 524 2017年1月
記述言語:英語 掲載種別:研究論文(国際会議プロシーディングス)