{"id":125,"date":"2020-05-16T14:12:52","date_gmt":"2020-05-16T05:12:52","guid":{"rendered":"https:\/\/k.ee.kanagawa-u.ac.jp\/k\/?page_id=125"},"modified":"2020-05-27T15:33:42","modified_gmt":"2020-05-27T06:33:42","slug":"overview","status":"publish","type":"page","link":"https:\/\/k.ee.kanagawa-u.ac.jp\/k\/overview\/","title":{"rendered":"Overview"},"content":{"rendered":"\n

Information Network and Media Laboratory<\/em><\/strong> \/ KINOSHITA Laboratory<\/strong><\/p>\n\n\n\n

Department of electrric, electronic and infomatics, Faculty of engineering, Kanagawa University <\/p>\n\n\n\n

We are researching the application of machine learning to personal information protection, digital rights management, e-commerce, information retrieval, and so on to develop systems that enable safe and secure use of networks.<\/p>\n\n\n\n

Members: Professor, Assistant Professor, 1 doctoral student, 1 master’s student, 15 undergraduates<\/p>\n\n\n\n

https:\/\/researchmap.jp\/read0078180?lang=en<\/a><\/p>\n\n\n\n

Research on Basic Technologies that Apply Machine Learning and Block Chain Designed to Address the Challenges of Distributing Nonwritten Cultural Materials<\/strong><\/p>\n\n\n\n

Research using nonwritten cultural materials involves a process in which researchers gather and organize research materials with cooperation from general information providers, and share their research findings with the public for the benefit of the wider society. This process requires (1) search and mining technologies appropriate to the materiality of the source materials and the tasks involved, and (2) a local currency-like value exchange system based on diverse values that can provide compensation or incentives for managing the personal data of information providers and researchers, important information, and intellectual property rights, as well as for supplying information and performing tasks.
This study applies machine learning and block chain technologies to the basic technologies necessary for (1) distribution and value exchange of knowledge, services, and goods; (2) search and mining of knowledge and services; and (3) management of personal data, important information, and intellectual property rights. Specifically, machine learning is used to establish correlations between research materials, which are necessary for access control, and also to extract data unique to an image, a crucial task in digital watermarking. Block chain technology, on the other hand, is applied to ensure that chronological transactions of content in the distribution process can occur without requiring a credible third party. These transactions include the creation, registration, use, transfer, and secondary use of content.<\/p>\n\n\n\n

In addition, we are working on creating a database of mingei collected in Tadami-machi, Fukushima Prefecture, and constructing a search system that is easy for researchers and users to use.<\/p>\n\n\n\n