Researchy on Discovery science under networ

在研究期间，我们共召开了五次研究会议。东京理科大学的信息媒体中心、北海道大学的Meme媒体实验室、东京大学的信息技术中心、松山大学的Kalfool Hole和大坂的Senri生命科学中心都是会议地点。我们的研究项目的主要贡献是：Kanada开发了几个具有自动调整功能的并行数值库例程，例如ILIB，这是智能图书馆的缩写，并公布了获得的ILIB Ilianum。Kanada还提出了基于目标句子的N-gram分布的作者识别方法。Arikawa教授对网络中半结构化数据的知识发现进行了理论和应用研究。田中教授为知识处理系统架构开发了Piazza服务器和Piazza客户端系统。Hirokawa教授使用自己开发的网络链接信息数据库和可视化系统进行了实验，以分析具有网络链接信息的网络空间。后藤教授用有限状态自动机和优化的接受率分析了TCP协议，以便尽可能紧凑地理解互联网中的信息。柴山Shibayama教授增强了HishiMochi系统，该系统是基于多焦点缩放方法的大型结构化文档检索的信息检索辅助系统。

We had total of five research meetings during the period of our research. Information media center at Science University of Tokyo, Meme Media Laboratory at Hokkaido University, Information Technology Center at University of Tokyo, Kalfool Hole at Matsuyama University and Senri Life Science Center at Osaka are places for the meetings. Programs and research reports presented at each meeting are available.Main contributions for our research projects are ; Kanada developed several parallel numerical library routines with auto-tuning facilities, e.g. ILIB that is abbreviation for Intelligent Library and publicised the obtained ILIB Iibraries. Kanada also proposed the method for author identification based on the N-gram distribution of the target sentences. Prof. Arikawa did theoretical and application based research on the knowledge discovery for the semi-structural data in the network. Prof. Tanaka developed Piazza server and Piazza client systems for knowledge processing system architecture. Prof. Hirokawa did experiment by using web-link information database and visualisation system that was developed by himself for analysing web space with web-link information. Prof. Goto analysed TCP protocol with finite state automata and optimised acceptance rate, in order to understand the information in the internet as compact as possible. Shibayama. Prof. Shibayama enhanced HishiMochi system that is information retrieve-aid system for large structural document retrieval based on multi-focus zooming method.