3 0 0 0 OA 品質工学(タグチメソッド)とは何か
- 著者
- 立林 和夫
- 出版者
- 特定非営利活動法人 横断型基幹科学技術研究団体連合
- 雑誌
- 横幹連合コンファレンス予稿集 第9回横幹連合コンファレンス
- 巻号頁・発行日
- pp.B-1-1, 2018 (Released:2018-11-10)
Quality Engineering, so called Taguchi Methods for building quality in products and for maintaining quality of products or production lines that were developed by late Dr. Genichi Taguchi. The author will introduce the outline of Quality Engineering and their methods.
2 0 0 0 OA 観光分野におけるMaaS型サービスデザイン
- 著者
- 早川 慶朗 林 ジュンタク 奥 拓郎 高比良 健太郎 李 慧勇 河盛 亮介 佐藤 彰洋
- 出版者
- 横断型基幹科学技術研究団体連合(横幹連合)
- 雑誌
- 横幹連合コンファレンス予稿集 第9回横幹連合コンファレンス
- 巻号頁・発行日
- pp.A-2-3, 2018 (Released:2018-11-10)
Mobility as a means of transportation is undergoing a drastic change due to popularization and in-novation of Information and Communication Technology (ICT). Autonomous car driving technologies is cur-rently under development. Among them, the concept of Mobility as a Service (MaaS) has been established, and it is an opportunity to recapture the whole Mobility as a Service. In this article, we discuss MaaS that should be used in the tourism field and attempt to design a service related to mobility from the technical innovation and regulations.
1 0 0 0 OA 超スマート社会における感性AI
- 著者
- 坂本 真樹
- 出版者
- 横断型基幹科学技術研究団体連合(横幹連合)
- 雑誌
- 横幹連合コンファレンス予稿集 第9回横幹連合コンファレンス
- 巻号頁・発行日
- pp.D-1-4, 2018 (Released:2018-11-10)
The current artificial intelligence is good at object recognition with high accuracy and high speed. However, it is still difficult to perceive things in the same way as the perception of human beings through touching things and feel from them because artificial intelligence does not have a body or sensory organs. However, “kan-sei” cannot be ignored in order to get close to people, strongly support people. Through this presentation, we think about what “artificial intelligence” is about “kansei” and what can be done and what is not likely to be expected to see in coming super smart society.
1 0 0 0 OA 人工知能と社会
- 著者
- 栗原 聡
- 出版者
- 横断型基幹科学技術研究団体連合(横幹連合)
- 雑誌
- 横幹連合コンファレンス予稿集 第9回横幹連合コンファレンス
- 巻号頁・発行日
- pp.D-1-1, 2018 (Released:2018-11-10)
In this paper, discussion about the future works of current AI technologies for which how to coexist with human society is described. Important break through is autonomy, meta-planning, multimodal information data processing, and deep abduction.