Kyushu University Academic Staff Educational and Research Activities Database
List of Papers
Amano Hirofumi Last modified date:2020.04.03

Associate Professor / Research Institute for Information Technology


Papers
1. Samih M. Mostafa, Hirofumi Amano, Effect of Clustering Data in Improving Machine Learning Model Accuracy, Journal of Theoretical and Applied Information Technology, Vol. 97, No. 21, 2973-2981, 2019.11, Supervised machine learning algorithms consider the relationship between dependent and independent variables rather than the relationship between the instances. Machine learning algorithms try to learn the relationship between the input and output from the historical data in order to attain precise predictions about unseen future. Conventional foretelling algorithms are usually based on a model learned and trained from historical data. The instances in the historical data may vary in its characteristics. The variation may be a result of difference in case's pertinence degree to some cases compared to others. However, the problem with such machine learning algorithms is their dealing with the whole data without considering this variation. This paper presents a novel technique to the trained model to improve the prediction accuracy. The proposed method clusters the data using K-means clustering algorithm, and then applies the prediction algorithm to every cluster. The value of K which gives the highest accuracy is selected. The authors performed comparative study of the proposed technique and popular prediction methods namely Linear Regression, Ridge, Lasso, and Elastic. On analysing on five datasets with different sizes and different number of clusters, it was observed that the accuracy of the proposed technique is better from the point of view of Root Mean Square Error (RMSE), and coefficient of determination (R2)..
2. Samih M. Mostafa, Hirofumi Amano, An Adjustable Round Robin Scheduling Algorithm in Interactive Systems, Information Engineering Express, Vol. 5, No. 1, 11-18, 2019.05, CPU scheduling is considered as the basic job within the operating system. Scheduling criteria including waiting time, context switches and others have been suggested for comparing CPU scheduling algorithms. In this paper, a modified version of Round Robin algorithm is introduced as an attempt to combine the advantageous of low scheduling overhead of Round Robin and favor short process to minimize the average waiting time and number of context switches of running processes in interactive (time-shared) systems. A threshold is considered to determine whether the running process will be interrupted because of the expiration of its time slice specified by the Round Robin policy or will continue execution until termination. Derived results show that the suggested modification minimizes the average waiting time and number of context switches compared to Round Robin algorithm..
3. Samih M. Mostafa, Hirofumi Amano, Shigeru Kusakabe, Fairness and High Performance for Tasks in General Purpose Multicore Systems, International Journal of Research and Reviews in Applied Sciences, Volume 29, Issue 3, 74-86, 2016.12.
4. Samih Mohammed Mostafa, Shigeru Kusakabe, Hirofumi Amano, Fairness Scheduler for Multithreaded Programs in Virtual Machine Environment, The Fourth International Japan-Egypt Conference on Electronics, Communications and Computers, 2016.05.
5. Hirofumi Amano, Yuki Dohi, Hiromune Ikeda, A Safe and Versatile Storage Server for Off-Site Backup, International Journal of Computer & Information Science (IJCIS), Volume 16, No. 1, 1-11, 2015.03, [URL], This paper makes a proposal for a safe and versatile storage server for off-site backup based on secret sharing scheme and storage virtualization. This approach can save important data even after a disaster which destroys the primary data and some of its backup copies. It also prevents a secret from leaking to others. The design of the prototype utilizing the (3, 5)-threshold secret sharing scheme and iSCSI is described, and preliminary experiment is reported. Future enhancement plans are also discussed..
6. Hirofumi Amano, Yuki Dohi, Hiromune Ikeda, An Approach to Safe Off-Site Backup Utilizing Secret Sharing Scheme and Storage Virtualization, Proceedings of the IIAI International Conference on Advanced Information Technologies 2013 (IIAI AIT 2013), 2013.11, This paper makes a proposal for a safe and versatile off-site backup system based on secret sharing scheme and storage virtualization. This approach can save important data even after a disaster which destroys the primary data and some of its backup data. It also prevents a secret from leaking to others. The design of the prototype based on the (3, 5)-threshold secret sharing scheme and iSCSI is described, and preliminary experiment is reported..
7. Tetsuya Nakatoh, Hirofumi Amano, Sachio Hirokawa, Prediction of Growth Rate of Operating Income Using Securities Reports
, Proceedings of the IIAI International Conference on Advanced Applied Informatics (IIAI AAI 2013), 2013.08.
8. Eisaku Sakane, Kento Aida, Manabu Higashida, Taizo Kobayashi, Hirofumi Amano, Mutsumi Aoyagi, Grid Operational Supports for Middleware Deployment and User Administration, The International Symposium on Grids and Clouds and the Open Grid Forum - ISGC2011, 2011.03, [URL].
9. An Operation of the Inter-University Grid Infrastructure.
10. H. Sung, S. Han, Y. Kwon, H. Amano, and T. Nanri, An Approach to Server Mobility in Mobile IPv6 Networks, Proceedings of the 9th CDMA International Conference, MM-3, 2004.10.
11. Y. Kaneko, H. Amano, Remote Parallel Pipe System for Wide-area Distributed Computing, Proc. Int. Sympo. on Information Science and Electrical Engineering 2003 (ISEE 2003), pp.585-588, 2003.11.
12. A. Makinouchi, H. Amano, T. Tsuji, K. Kaneko, Issues on Parallel Processing of Object Databases, Nontraditional Database Systems, pp. 231-248, published by Taylor & Francis, Inc., New York, 2002.08.
13. Job Scheduling for Improving Parallel Supercomputer Utilization (In Japanese)
Y. Matsuo, H. Amano
Res. Rep. on Comp. Sci. (Comp.& Comm. Center, Kyushu Univ.),
pp. 1-10, July 2001.
14. Ken'ichiro Kimura, Hirofumi Amano, Akifumi Makinouchi, Dynamic Performance Optimization Mechanism for Parallel Object-Oriented Database Programming Languages, Proc. IDEAS 2000: Int. Database Engineering and Applications Symp., 405-409, pp. 405-409, 2000.09.
15. Hirofumi Amano, Ken'ichiro Kimura, Akifumi Makinouchi, Improving Dynamic Load Balancing Mechanisms for a Massively Parallel Database Programming Language, Proc. 1999 Int. Sympo. on Database Applications in Non-Traditional Environments, pp. 437-440, 1999.11.
16. Improving Dynamic Load Balancing Mechanisms for a Parallel Object Oriented Database System
Ken'ichiro Kimura, Takaaki Horibuchi, Hirofumi Amano, Akifumi Makinouchi
Res. Rep. on Computer Science, Computer Center, Kyushu Univ.,
No. 16, pp. 7-14,
July 1999..
17. Akifumi Makinouchi, Tetsuro Kakeshita, Hirofumi Amano, Research on High Performance Databases, IEICE Trans. on Inf. & Syst., E82D, 1, 13-21, Vol. E-82D, No. 1, pp. 13-21, 1999.01.
18. Hirofumi Amano, Takaaki Horibuchi, Tsuyoshi Ono, Kenji Imasaki, Akifumi Makinouchi, Developing a Massively Parallel Programming Language for Advanced Database Applications, Advanced Database Systems for Integration of Media and User Environments '98, pp. 161-166, 1998.05.