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Sustainable Data Center Energy Management Through Server Workload Allocation Optimization and HVAC System
Ying-Feng Hsu, Chizuko Mizumoto, Kazuhiro Matsuda, Morito Matsuoka
2024 IEEE Cloud Summit p. 17-23 2024/06/27 Research paper (international conference proceedings)
Publisher: IEEE
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Historical Redundant Process Data Recovery based on Genetic Algorithm
Ying-Feng Hsu
2023 IEEE 47th Annual Computers, Software, and Applications Conference (COMPSAC) 2023/06 Research paper (international conference proceedings)
Publisher: IEEE
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Comprehensive Analysis of Dieting Apps: Effectiveness, Design, and Frequency Usage
Allison Hsu, Ying-Feng Hsu
2023 IEEE 47th Annual Computers, Software, and Applications Conference (COMPSAC) 2023/06 Research paper (international conference proceedings)
Publisher: IEEE
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Comparison of Teenagers’ Writing Using Word Clouds and Analyzing Engines
Allison Hsu, Ying-Feng Hsu
2022 IEEE International Conference on Big Data (Big Data) 2022/12/17 Research paper (international conference proceedings)
Publisher: IEEE
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Early Detection of Campus Network DDoS Attacks using Predictive Models
Ryusei Araki, Ying-Feng Hsu, Morito Matsuoka
GLOBECOM 2022 - 2022 IEEE Global Communications Conference 2022/12/04 Research paper (international conference proceedings)
Publisher: IEEE
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Real Network DDoS Pattern Analysis and Detection
Ying-Feng Hsu, Araki Ryusei, Morito Matsuoka
2022 IEEE 46th Annual Computers, Software, and Applications Conference (COMPSAC) 2022/06 Research paper (international conference proceedings)
Publisher: IEEE
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Computer Education of the Primary Years Programme Exhibition at International Baccalaureate Schools During the COVID-19 Pandemic
Allison Hsu, Ying-Feng Hsu
2022 IEEE 46th Annual Computers, Software, and Applications Conference (COMPSAC) 2022/06 Research paper (international conference proceedings)
Publisher: IEEE
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An Early Warning System for Patients in Emergency Department based on Machine Learning
Ying-Feng Hsu, Morito Matsuoka
2021 International Conference on Computational Science and Computational Intelligence (CSCI) 2021/12 Research paper (international conference proceedings)
Publisher: IEEE
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DoS/DDoS Detection Using Random Forest with Wavelet Decomposition
Ying-Feng Hsu, Morito Matsuoka
The 2021 World Congress in Computer Science, Computer Engineering, & Applied Computing (CSCE'21) 2021
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Kubernetes-based Workload Allocation Optimizer for Minimizing Power Consumption of Computing System with Neural Network
Ryuki Douhara, Ying-Feng Hsu, Tomoki Yoshihisa, Kazuhiro Matsuda, Morito Matsuoka
2020 International Conference on Computational Science and Computational Intelligence (CSCI) 2020/12 Research paper (international conference proceedings)
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A Deep Reinforcement Learning Approach for Anomaly Network Intrusion Detection System
Ying-Feng Hsu, Morito Matsuoka
2020 IEEE 9th International Conference on Cloud Networking (CLOUDNET) 2020/11 Research paper (international conference proceedings)
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High-Performance Virus Detection System by using Deep Learning
Ying-Feng Hsu, Makiko Ito, Takumi Maruyama, Morito Matsuoka, Nicolas Jung, Yuki Matsumoto, Daisuke Motooka, Shota Nakamura
2020 IEEE Congress on Evolutionary Computation, CEC 2020 - Conference Proceedings 2020/07 Research paper (international conference proceedings)
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Division-based Video Data Access Method for Hot/Cold Tiered Storage Systems
Dong Ling, Shuuichirou Murata, Ying-Feng Hsu, Tomoki Yoshihisa, Morito Matsuoka
2019 Multimedia, Distributed, Cooperative and Mobile Symposium (DICOMO) 2019/07
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Real-Time Workload Allocation Optimizer for Computing Systems by Using Deep Learning
Hayato Kuwahara, Ying-Feng Hsu, Kazuhiro Matsuda, Morito Matsuoka
2019 IEEE 12th International Conference on Cloud Computing (CLOUD) 2019/07 Research paper (international conference proceedings)
Publisher: IEEE
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Toward an Online Network Intrusion Detection System Based on Ensemble Learning
Ying-Feng Hsu, ZhenYu He, Yuya Tarutani, Morito Matsuoka
2019 IEEE 12th International Conference on Cloud Computing (CLOUD) 2019/07 Research paper (international conference proceedings)
Publisher: IEEE
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Deep Learning Approach for Pathogen Detection Through Shotgun Metagenomics Sequence Classification
Ying-Feng Hsu, Makiko Ito, Takumi Maruyama, Morito Matsuoka, Nicolas Jung, Yuki Matsumoto, Daisuke Motooka, Shota Nakamura
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Vol. 11526 LNAI p. 24-30 2019/06 Research paper (international conference proceedings)
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Toward a Workload Allocation Optimizer for Power Saving in Data Centers
Ying-Feng Hsu, Hayato Kuwahara, Kazuhiro Matsuda, Morito Matsuoka
2019 IEEE International Conference on Cloud Engineering (IC2E) 2019/06 Research paper (international conference proceedings)
Publisher: IEEE
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Power Consumption Simulator of Data Center by using Computational Fluid Dynamics and Machine Learning
Hayato Kuwahara, Ying-Feng Hsu, Kazuhiro Matsuda, Morito Matsuoka
ASHRAE Transactions Vol. 125 p. 116-123 2019/01 Research paper (international conference proceedings)
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A Novel Automated Tiered Storage Architecture for Achieving Both Cost Saving and QoE
Ryo Irie, Shuuichirou Murata, Ying-Feng Hsu, Morito Matsuoka
2018 IEEE 8th International Symposium on Cloud and Service Computing (SC2) 2018/11 Research paper (international conference proceedings)
Publisher: IEEE
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Dynamic Power Consumption Prediction and Optimization of Data Center by Using Deep Learning and Computational Fluid Dynamics
Hayato Kuwahara, Ying-Feng Hsu, Kazuhiro Matsuda, Morito Matsuoka
2018 IEEE 7th International Conference on Cloud Networking (CloudNet) 2018/10 Research paper (international conference proceedings)
Publisher: IEEE
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A High-Performance Sequence Analysis Engine for Shotgun Metagenomics through GPU Acceleration
Ying-Feng Hsu, Morito Matsuoka, Nicolas Jung, Yuki Matsumoto, Daisuke Motooka, Shota Nakamura
2018 IEEE 18th International Conference on Bioinformatics and Bioengineering (BIBE) 2018/10 Research paper (international conference proceedings)
Publisher: IEEE
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A Novel Automated Cloud Storage Tiering System through Hot-Cold Data Classification
Ying-Feng Hsu, Ryo Irie, Shuuichirou Murata, Morito Matsuoka
2018 IEEE 11th International Conference on Cloud Computing (CLOUD) 2018/07 Research paper (international conference proceedings)
Publisher: IEEE
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Self-Aware Workload Forecasting in Data Center Power Prediction
Ying-Feng Hsu, Kazuhiro Matsuda, Morito Matsuoka
2018 18th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGRID) 2018/05 Research paper (international conference proceedings)
Publisher: IEEE
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Conflict-Aware Historical Data Fusion
Vladimir Zadorozhny, Ying-Feng Hsu
Lecture Notes in Computer Science p. 331-345 2011 Part of collection (book)
Publisher: Springer Berlin Heidelberg
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Data Warehousing and Markov Modeling of Children Admitted with Respiratory Complaints
Jonathan P. Bickel, Shyam Visweswaran, James E Levin, Yichang Kang, Ying-Feng Hsu, Vladimir I. Zadorozhny
2009/05
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Towards Algebraic Query Optimization in Process Data Warehouse
Ying-Feng Hsu, Vladimir I. Zadorozhny
2009/02