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ABSTRACT: In this paper, I present a data-intensive approach to conversational informatics. It not only brings about quantitative understanding, permitting us to turn a great accumulation of keen observations into a pile of computational models, but also helps to build conversational agents by virtue of recent progress in machine learning and data mining. The topics include a smart conversation space for allowing people to engage in conversation in a cyber-physical space, conversational interaction capture for conversation modeling and content production, learning by imitation for producing conversational interactions, cognitive design for understanding mental processes of conversational actors, and synthetic evidential study for collaborative study on understanding social processes.Procedia Computer Science 12/2015; 60(1):7-16. DOI:10.1016/j.procs.2015.08.099
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ABSTRACT: This study clarifies the role of an NGO in transforming the discriminatory social status of the Dalits (Untouchables), and its implications for sustainable community development. Subduing the discriminatory relationship between Dalits and other local people will not only uplift them socioeconomically, but also expand their opportunity for communication, enabling the construction of inter-personal relationships between the discriminating and the discriminated against. The NGO plays an important role in facilitating this communication and implementing national and global level sanitation. This study illustrates the dynamic process of transforming discriminatory social relationships and the complicated mechanism of Dalit discrimination in contemporary India.12/2015; 28:106-114. DOI:10.1016/j.proenv.2015.07.016
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ABSTRACT: Gas-liquid two-phase flow in a narrow gap has been studied to develop a solid target cooling system for an accelerator driven system. Flow measurements are important to understand two-phase flow dynamics also in such a narrow channel. Although contact methods can measure detailed structure of two-phase flow, the intrusive effect on the flow becomes relatively larger in such a small channel. Therefore, non-intrusive measurement would be desirable. Neutron radiography (NRG) is one of the powerful tools for gas-liquid two-phase flow measurement and void fraction distribution can be estimated from the acquired images. However, the temporal resolution of NRG is about 100∼1,000Hz depending on the neutron flux and it should be increased to investigate flow dynamics. So the authors focused on a hybrid measurement of the NRG and a conductance liquid film sensor (LFS). The combination of these methods can complement the spatial and temporal information of the flow. In this study, the hybrid measurements were performed by NRG and LFS to visualize the detailed structure of narrow two-phase flow.Physics Procedia 12/2015; 69:570-576. DOI:10.1016/j.phpro.2015.07.081
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