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Affiliation |
Organization for Learning and Student Development Division for Educational Planning |
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Title |
Assistant Professor |
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Contact information |
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AIKAWA Masaru
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Research Areas 【 display / non-display 】
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Informatics / Learning support system
Papers 【 display / non-display 】
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Signal-based feature analysis of behavioral trajectories for predicting calving time and classifying assistance needs Reviewed
Wai Hnin Eaindrar Mg, Pyke Tin, M. Aikawa, K. Honkawa, Y. Horii, Thi Thi Zin
Computers and Electronics in Agriculture 243 2026.3
Publishing type：Research paper (scientific journal)
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Integrated RGB-Thermographic Vision System for Individual Calf Identification and Health Monitoring Reviewed
Aung Si Thu Moe, Pyke Tin, Thi Thi Zin, M. Aikawa, K. Honkawa
The 9th IIEEJ International Conference on Image Electronics and Visual Computing (IEVC 2026) 2026.3
Publishing type：Research paper (international conference proceedings)
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Non-contact Monitoring of Dystocia in Dairy Cows Using Keypoint Detection and Semantic Segmentation Reviewed
T. Murayama, Thi Thi Zin, I. Kobayashi, M. Aikawa
2026 IEEE 2nd International Conference on Consumer Technology (ICCT-Pacific) 2026.3
Publishing type：Research paper (international conference proceedings)
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Mg W.H.E., Zin T.T., Tin P., Aikawa M., Honkawa K., Horii Y.
Scientific Reports 15 ( 1 ) 2378 2025.12
Language：English Publishing type：Research paper (scientific journal) Publisher：Scientific Reports
Accurately predicting the calving time in cattle is essential for optimizing livestock management and ensuring animal welfare. Our research focuses on developing a robust system for calving cattle classification and calving time prediction, utilizing 12-h trajectory data for 20 cattle. Our system classifies cattle as abnormal (requiring human assistance) or normal (not requiring assistance) and predicts calving times based on their individual behaviors. We employed a tailored YOLOv8 model for efficient and precise cattle detection, effectively filtering out noise such as people and trucks. Our Customized Tracking Algorithm (CTA) maintains continuous identity tracking for each cow, enabling accurate re-identification even during occlusions. To minimize some ID switching errors over extended tracking periods, we integrated IDs optimization in the CTA utilizing Global IDs identification. We extracted and compared three total movement features for classifying cattle as abnormal or normal. For predicting calving times for each cow, we utilized and compared three cumulative movement features. Our system is fully automated, detecting and tracking all 20 cattle continuously for 12 h without manual assistance, and achieving an overall accuracy of 99%. By comparing three features derived from the trajectory tracking data for each point in a frame, we achieve 100%, 95%, 85% accuracy in classifying cattle as abnormal or normal and predict their calving times with a precision of within the next 6 h, within the next 9 h, within the next 8 h, respectively. Our system enables farmers to provide timely assistance, ensuring the health and safety of both the cow and the calf. Furthermore, it aids in optimizing resource allocation and enhancing overall farm efficiency, emphasizing the critical importance of calving time prediction in sustainable livestock farming.
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Top-View Vision System for Individual Cow Identification in Milking Parlors Reviewed
Aung Si Thu Moe, M. Aikawa, I. Kobayashi, Thi Thi Zin
ICGEC-2025 The 17th International Conference on Genetic and Evolutionaly Computing 2025.12
Publishing type：Research paper (international conference proceedings)
Presentations 【 display / non-display 】
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Automatic Cattle Detection and Tracking for Lameness Classification Using a Single Side-View Camera International conference
Bo Bo Myint, T. Onizuka, Pyke Tin, M. Aikawa, I. Kobayashi, Thi Thi Zin
Second International Symposium on Data-Driven Intelligent Optimization for Decision Making (DIODM2024) 2024.3.25
Event date： 2024.3.25 - 2024.3.29
Language：English Presentation type：Oral presentation (general)
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Kalman Velocity-based Multi-Stage Classification Approach for Recognizing Black Cow Actions International conference
Cho Cho Aye, Thi Thi Zin, M. Aikawa, I. Kobayashi
2024 RISP International Workshop on Nonlinear Circuits, Communications and Signal Processing (NCSP'24) 2024.2.27
Event date： 2024.2.27 - 2024.3.1
Language：English Presentation type：Oral presentation (general)
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AI Driven Movement Rate Variability Analysis Around the Time of Calving Events in Cattle International conference
Wai Hnin Eaindrar Mg, Pyke Tin, M. Aikawa, I. Kobayashi, Y. Horii, K. Honkawa, Thi Thi Zin
The 15th International Conference Genetic and Evolutionary Computing 2023.10.6
Event date： 2023.10.6 - 2023.10.8
Language：English Presentation type：Oral presentation (general)
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Evaluation of Body Condition Score for walking dairy cows using 3D camera International conference
M. Chikunami, Thi Thi Zin, M. Aikawa, I. Kobayashi
17th International Conference on Innovative Computing, Information and Control (ICICIC2023) 2023.8.29
Event date： 2023.8.29 - 2023.8.31
Language：English Presentation type：Oral presentation (general)
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A Study on Early Detection of Otitis Media in Calves using RGB and Thermographic Cameras International conference
T. Nishiyama, K. Shiiya, M. Aikawa, I. Kobayashi, Thi Thi Zin
17th International Conference on Innovative Computing, Information and Control (ICICIC2023) 2023.8.29
Event date： 2023.8.29 - 2023.8.31
Language：English Presentation type：Oral presentation (general)
Grant-in-Aid for Scientific Research 【 display / non-display 】
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Enhanced AI-Driven Image Analysis for Early Mycoplasma Detection in Dairy Calves for innovations in Livestock Health Management
Grant number：25K15232 2025.04 - 2028.03
独立行政法人日本学術振興会 科学研究費基金 基盤研究(C)
Authorship：Coinvestigator(s)
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AIと画像データ解析を活用した牛の摂食行動モニタリングによる持続可能な酪農の実現
Grant number：25K15158 2025.04 - 2028.03
独立行政法人日本学術振興会 科学研究費基金 基盤研究(C)
Authorship：Coinvestigator(s)
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メニーコアCPUに適した並列幾何マルチグリッド前処理付きCG法に基づく人体内電流解析
Grant number：18H00541 2018
日本学術振興会 科学研究費助成事業（科学研究費補助金）（奨励研究） 奨励研究
相川 勝
Authorship：Principal investigator
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数値シミュレーション向け並列計算ライブラリの高性能化に関する研究
Grant number：17H00369 2017
日本学術振興会 科学研究費助成事業（科学研究費補助金）（奨励研究） 奨励研究
相川 勝
Authorship：Principal investigator
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教務電算システムと研究教育用ネットワーク間の安全なインターフェイスの開発研究
Grant number：09919091 1997
日本学術振興会 科学研究費助成事業（科学研究費補助金）（奨励研究） 奨励研究
相川 勝
Authorship：Principal investigator