著者

楠川 充敏 中井 孝幸 大山 真司

出版者

日本建築学会

雑誌

日本建築学会計画系論文集 (ISSN:13404210)

巻号頁・発行日

vol.82, no.732, pp.341-351, 2017 (Released:2017-02-28)

参考文献数

19

被引用文献数

5

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Academic Library is defined the place to help students. Learning Commons(LC) is increasing by library improvement and a new establishment. By LC of the library it has been introduced, I will increasingly be extent of seat choice. And extent of seat choice diversity. This paper is user's awareness of the places, by LC of the library it has been introduced. And from the view point of group user and private user, to understand that whereabouts formation of the place, An object thereof is to clarify the hierarchical structure in the choice behavior of the place, Surveyed academic library is three academic library with the LC of Aichi Prefecture. Configuration of LC in three academic library so different. Survey way Question paper by visitors in library, and Plot patrol. LC is specialized in the group user, but there were much private user. LC was used a lot as a place of the personal learning and revealed what it the place that can talk but also the space that I can learn quietly. In the academic library, personal use, and group use was seen in open stuck area and LC regardless of the number of user. In the open stuck, both the personal use, and the group use choose the quiet space around. In addition, the user chooses a seat while minding eyes of another person, and the group use knew that there was a type to choose the far space from the quiet space and a type to melt into the active space. So I think that I mind eyes in learning commons, and I secure anonymity in active environment. According to space choice, I think that I choose a space to a learning style each, when concentration level from the quiet space to the active space changes. Example, quiet space from active space of easy from active space by step up floor. When I choose the learning environment that there was s oneself of the day from the conversation of the user and around the sound environment, I think that the choice of the space is hierarchy. In academic library with LC, the place to be choose by the learning activities, are organized into six by the sound environment and companion form. Factor of seat choice is the degree of the conversation of the learner, and sound environment of surrounding and density of people and space. This three stage, and it is classified among private user and the group user. After this, I need not only the active space such as LC, and it is necessary to maintain the quiet space. Next paper, I want to clarify it hierarchical structure from user's awareness and user's behavior in detail. And I want to calculate the number of seat.

著者

綱沢 駿 大山 真司

出版者

公益社団法人 計測自動制御学会

雑誌

計測自動制御学会論文集 (ISSN:04534654)

巻号頁・発行日

vol.53, no.12, pp.644-653, 2017 (Released:2017-12-16)

参考文献数

15

被引用文献数

1

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In this paper, multi-speaker localization methods using voice signal are proposed. Sound source localization systems consisting of many microphones have been widely researched. In our laboratory, we have researched sound source localization of persons based on TDOA (Time Difference of Arrival) between distributed microphones for the purpose of efficient use of air conditioner and lighting in the office . Localization systems based on sound such as footsteps or voice are superior to those based on image data in terms of privacy-consciousness and utility in the dark. As sound source localization methods, beamforming, subspace methods and TDOA-based methods are widely used. CSP (Cross-power Spectrum Phase) analysis is one of the most famous method to estimate TDOA. We have researched sound source localization methods using CSP analysis because it spends less calculation cost than beamforming or subspace methods. However, CSP analysis doesn't work well by itself in the real office environment because of sound lasting for a long time, reverberations, low SNR, and so on. The main cause of difficulty in sound source localization in such a case is the “weak correlation” between different sound signals. In this paper, it is shown that the bad effect of the “weak correlation” can be improved by our proposed methods, Wiener-filter-based CSP analysis and H-CSP (Histogram-CSP) analysis. H-CSP analysis is a statistics data analysis method for CSP coefficients which uses the histogram of CSP coefficients. In this research, the effectiveness of proposed methods are shown by sound source localization experiments in the case sound sources are stable and the case sound sources are moving.

著者

大山 真司 楠川 充敏 中井 孝幸

出版者

一般社団法人日本建築学会

雑誌

学術講演梗概集 (ISSN:18839363)

巻号頁・発行日

vol.2015, pp.121-122, 2015-09-04

著者

楠川 充敏 大山 真司 中井 孝幸

出版者

一般社団法人日本建築学会

雑誌

学術講演梗概集 (ISSN:18839363)

巻号頁・発行日

vol.2015, pp.119-120, 2015-09-04

著者

楠川 充敏 大山 真司 中井 孝幸

出版者

一般社団法人日本建築学会

雑誌

日本建築学会東海支部研究報告集 Proceedings of Tokai Chapter Architectural Research Meeting (ISSN:13438360)

巻号頁・発行日

no.53, pp.409-412, 2015-02