| Fajardo Jovilyn Therese | 1061206: D, 中間発表 | 伊藤 実, 安本 慶一, 山口 英 |
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title: Information Collection in Disaster Areas
abstract: When disasters occur, a common characteristic is the partial or complete failure of the telecommunications infrastructure so the usual means of communication are often not available. However, accurate and timely information of the disaster area is important. In this paper, a delay tolerant network (DTN)-based data collection method from an area of interest (AoI) within the disaster zone is proposed that uses the mobile phones of the people to serve as sensing nodes. Existing DTN technologies allow the propagation of information to some extent but it is difficult to achieve coverage of the AoI in a short time due to the limited data transfer capacity of a DTN. To achieve maximum AoI coverage while minimizing delay, we propose a DTN-based data aggregation method. In the proposed method, mobile phone users moving over the disaster area create messages containing disaster-related information, which can arithmetically be operated like the number of injuries. In order to reduce the overall message collection delay, we reduce message size by merging multiple messages with their respective coverage areas into a new message with the merged coverage. Simply merging messages may result in duplicative counting of the disaster-related information in the same coverage area. To prevent this, a Bloom filter is constructed for each aggregated message. In addition, to reduce further the message delivery time, the expected time of a node to reach its destination is introduced as a routing metric. Through computer simulation with a real geographical map, we confirmed that the proposed method achieved a smaller delay in message delivery than epidemic routing. language of the presentation: English | ||
| Cheng-Tse, Chu | 1061030: D, 中間発表 | 加藤 博一, 横矢 直和, 山本 豪志朗, 武富 貴史 |
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title: Augmented Reality Agent as Desktop Assistant
abstract: Augmented Reality Agent is a relative new research area that incorporates agent technologies with real world environment and information world. Such agents assist the user in performing tasks in real world environments such as place-to-place location guidance, instruction in physical tasks and augmentation of information related to the physical world. In this work we focus on the consideration of realizing such agents for assisting user with real world tasks in a desktop environment. We have proposed four fundamental components for such agent, namely static and dynamic visual appearance, physical awareness and user action recognition. Physical awareness is a crucial component which has been absent in the past agent systems. It provides the agent with the capability to move through physical environment freely without violating physical constrains of the real world. In this work we also focus on the importance of naturalness in human-agent communication. We believe the more humanized the agent the smoother the interaction would be between the user and the computer. language of the presentation: English | ||