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RISS 인기검색어
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- 저자 : ( Masayuki Iwai ) (검색결과 2 건)
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( Sekyung Han ),( Yeonsuk Choi ),( Masayuki Iwai ),( Kaoru Sezaki ) 한국인터넷정보학회 2010 KSII Transactions on Internet and Information Syst Vol.4 No.5
We propose a novel collision-avoidance algorithm for the active type RFID regarding an indoor tracking system. Several well-known collision avoidance algorithms are analyzed considering the adequacy for the indoor tracking system. We prove the superiority of the slotted ALOHA in comparison with CSMA for short and fixed length packets like an ID message in RFID. Observed results show that they are not applicable for active type RFID in terms of energy efficiency. Putting these all together, we propose a dedicated collision avoidance algorithm considering the unique features of the indoor tracking system. The proposed method includes a scheduled tag access period (STAP) as well as a random tag access period (RTAP) to address both of the static and dynamic characteristics of the system. The system parameters are determined through a quantitative analysis of the throughput and energy efficiency. Especially, some mathematical techniques have been deployed to obtain the optimal slot count for RTAP. Finally, simulation results are provided to illustrate the performance of the proposed method with variations of the parameters.
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Evaluating People’s Attention in the Real World
Niwat Thepvilojanapong,Yasunori Yakiyama,Oru Mihirogi,Masayuki Iwai,Kazunori Umeda,Yoshit Tobe,Ryosuke Shibasaki 제어로봇시스템학회 2009 제어로봇시스템학회 국제학술대회 논문집 Vol.2009 No.8
Although human activities in the World Wide Web are rapidly increasing due to the advent of many online services and applications, we still need to appraise how things such as a merchandise in a store or pictures in a museum receive attention in the real world. To measure people’s attention in the physical world, we propose a Sensor of Physical-world Attention using Lasers canning(SPAL). It is challenging to use alaser scanner because it provides only front-side circumference of any detected objects in a measurement area. Unlike cameras, a laser scanner poses no privacy problem because it does not recognize and record an in dividual. SPAL includes many important factors when calculating people’s attention, i.e., lingering time, direction of people, distance between people and a target object. To obtain such information for calculation, we develop three processing modules to extract information from raw data measured by a lasers canner. We define two attention metrics and two measurement models to compute people’s attention. To validate the proposed system, we implemented aprototype of SPAL and conducted experiments in the real-world environment. The results show that the proposed system is a good candidate for determining people’s attention.
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