国際学会研究発表

2019
  1. Ying-Feng Hsu, ZhenYu He, Yuya Tarutani, Morito Matsuoka ‘Toward an Online Network Intrusion Detection System Based on Ensemble Learning’ in Proceedings of IEEE International Conference on Cloud Computing 2019, July 2019.
  2. Hayato Kuwahara, Ying-Feng Hsu, Kazuhiro Matsuda and Morito Matsuoka ‘Real-time workload allocation optimizer for computing systems by using deep learning’ in Proceedings of IEEE International Conference on Cloud Computing 2019, July 2019.
  3. Ying-Feng Hsu, Makiko Ito, Takumi Maruyama, Morito Matsuoka, Nicolas Jung, Yuki Matsumoto, Daisuke Motooka, and Shota Nakamura ‘Deep Learning Approach for Pathogen Detection Through Shotgun Metagenomics Sequence Classification’ in Proceedings of AIME 2019 17th Conference on Artificial Intelligence in Medicine, June 2019.
  4. Ying-Feng Hsu, Hayato Kuwahara, Kazuhiro Matsuda, and Morito Matsuoka ‘Toward a Workload Allocation Optimizer for Power Saving in Data Centers’ in Proceedings of IEEE International Conference on Cloud Engineering (IC2E), June 2019.
2018
  1. Hideo Kubo, Kazuhiro Matsuda and Morito Matsuoka, ‘Proposal of liquid immersion cooling with bubble-assisted natural convection for HPC-based cloud computing system’ Poster presentation at OCP Future Technologies Symposium, March 2019.
  2. Kazuhiro Matsuda and Morito Matsuoka, ‘High-efficient cooling for cloud computing system by refrigerant drip-feeding’ Poster presentation at OCP Future Technologies Symposium, March 2019.
  3. Hayato Kuwahara, Ying-Feng Hsu, Kazuhiro Matsuda and Morito Matsuoka, 'Power Consumption Simulator of Data Center by using Computational Fluid Dynamics and Machine Learning' in proceeding of the 2019 ASHRAE Winter Conference.
  4. Ryo Irie, Ying-Feng Hsu, Shuuichirou Murata and Morito Matsuoka, ‘A Novel Automated Tiered Storage Architecture for Achieving both Cost Saving and QoE‘ in Proceedings of IEEE SC2 2018, November 2018.
  5. Ying-Feng Hsu, Morito Matsuoka, Nicolas Jung, Yuki Matsumoto, Daisuke Motooka, Shota Nakamura ‘High-Performance Sequence Analysis Engine for Shotgun Metagenomics Sequence comparison through GPU Acceleration’ in Proceedings of IEEE International Conference on Bioinformatics and Bioengineering (BIBE) 2018, October 2018.
  6. Hayato Kuwahara, Ying-Feng Hsu, Kazuhiro Matsuda and Morito Matsuoka, ‘Dynamic power consumption prediction and optimization of data center by using deep learning and computational fluid dynamics’ in Proceedings of IEEE CloudNet 2018, October 2018.
  7. Yuya Tarutani, ‘Consensus Building for users with various preference’ in Proceedings of ICT Convergence 2018, October 2018.
  8. Ying-Feng Hsu, Ryo Irie, Shuichiro Murata and Morito Matsuoka, ‘A Novel Automated Cloud Storage Tiering System through Hot-Cold Data Classification’ in Proceedings of IEEE Cloud 2018, July 2018.
  9. Ying-Feng Hsu, Kazuhiro Matsuda and Morito Matsuoka, ‘Self-Aware Workload Forecasting in Data Center Power Prediction’ in Proceedings of IEEE CCGRID 2018, May 2018.
2017
  1. Morito Matsuoka and Yuichiro Miyake, ‘Proposal of Cooling Method for HPC by Drip Feeding Cooling’ in Proceedings of ASHRAE 2018 Winter Conference, January 2018.
  2. Morito Matsuoka, Kazuhiro Matsuda and Hideo Kubo, ‘Effective Cooling of Server Boards in Data Centers by Liquid Immersion Based on Natural Convection Demonstrating PUE below 1.04’ in Proceedings of ASHRAE 2018 Winter Conference, January 2018.
  3. Morito Matsuoka, Kazuhiro Matsuda and Hideo Kubo, ‘Liquid immersion cooling technology with natural convection in data center’ in Proceedings of IEEE CloudNet 2017, September 2017.