Yutaka Watanobe was born in 1979. He received his M.S. and Ph.D. degree from The University of Aizu in 2004 and 2007 respectively. He was a Research Fellow of the Japan Society for the Promotion of Science at The University of Aizu in 2007. He is currently a Senior Associate Professor at The University of Aizu. His research interests include visual programming, data mining, visual queries, e-learning systems, and filmification of methods.
Programming in pictures is a special approach to help people for some saving their energy and time. It is an approach where pictures and moving pictures are used as super-characters for representing features of computational algorithms and data structures, as well as for explaining models and application methods involved. In this project, we are developing languages based on programming in pictures and the corresponding programming environment.
An algorithm is a series of procedures to solve a problem. Numerous algorithms related to different space structures such as grids, graphs, trees, networks as well as to numerical simulations, data mining, etc. have contributed to the evolution of computers as well as to research and development. In this project, we are collecting various algorithms based on the Programming in Pictures for the integrated development environments as well as for creating educational materials.
The potential of big data concept is really great. There are a number of successful stories about big data of exhaust-web-search type applied in communication, leisure, commerce, infrastructures, etc. However, in many cases, big data sets are messy, non-transparent, and difficult for finding what sampling biases hide inside them. Although, big data is a new tool, we should learn a lot to understand how to efficiently use it.
Big information resources are also big data; the difference is in semantic richness of data components and their compositions. A primary goal of manipulation with resource units is in understanding of how to make decisions based on knowledge and experience of others and how to present your decision to others. In other words, it is to acquire and transfer knowledge and experience between people. We promote the concept of big information resources as large-scale sets of well-organized, reliable, and accurate units representing people knowledge and experience applicable for education, research, and business.
Kazuki Yamamoto, Yutaka Watanobe, Wenxi Chen, Clustering Analysis of Vital Signs Measured During Kidney Dialysis. IEA/AIE 2016: 503-513
Yutaka Watanobe, Nikolay Mirenkov, Mirai Watanabe, Educational features of *AIDA programs, Communications in Computer and Information Science, 513, 162-177, 2015.
Yutaka Watanobe, Nikolay Mirenkov and Mirai Watanabe, Applying *AIDA programs as educational materials, The 13 th International Conference on Intelligent Software Methodologies, Tools and Techniques, 783-798, 2014, IOS Press.
Yutaka Watanobe, Tetsuya Shiota, Nikolay Mirenkov, Units of Measure Analysis and Its Implementation for AIDA, In: Proceedings of the 11th International Conference on Software Methodologies, Tools, and Techniques, 198-212, 2012, IOS Press.
Yutaka Watanobe, Rentaro Yoshioka and Nikolay Mirenkov, Programming in pictures: a way toward reliable software, In: Proceedings of the 10th International Conference on Software Methodologies, Tools, and Techniques, 183-197, 2011, IOS Press.
Yutaka Watanobe, Nikolay Mirenkov, Rentaro Yoshioka, Algorithm Library based on Algorithmic CyberFilms, In: Proceedings of 6th International Conference on New Software Methodologies, Tools, and Techniques, H. Fujita and D. Pisanelli (Eds.), 427-447, 2007, IOS Press.
Yutaka Watanobe, Rentaro Yoshioka and Nikolay Mirenkov, Embedded Clarity in Filmification of Methods, In: Proceedings of the 9th International Conference on Software Methodologies, Tools, and Techniques, 70-82, 2010, IOS Press.
Mirai Watanabe, Yutaka Watanobe, Alexander Vazhenin, Architecture for Hybrid Language Systems, 16th IEEE International Conference on Computer and Information Technology (IEEE CIT 2016), 134-139.
Yutaka Watanobe, Nikolay Mirenkov, Mirai Watanabe, Adaptation Aspects of *AIDA programs, 16th IEEE International Conference on Computer and Information Technology (IEEE CIT 2016), 34-41.
Mark Sifer, Yutaka Watanobe and Subhash Bhalla, Efficient Visualisation of the Relative Distribution of Keyword Search Results in a Corpus Data Cube, ACM Eighteenth International Workshop On Data Warehousing and OLAP (DOLAP), 2015, 85-88.
Mirai Watanabe, Yutaka Watanobe, Alexander Vazhenin, Modeling Tools for Social Coding, In: Proceedings of the 14th International Conference on Intelligent Software Methodologies, Tools and Techniques, 2015, 399-410.