The present work has been devoted to the catalytic reduction of N2O by H2 with Pt/SiO2 catalysts at very low temperatures, such as 110oC, and their nanoparticle sizes have been determined by using H2-N2O titration, X-ray diffraction(XRD) and high-resolution transmission electron microscopy(HRTEM) measurements. A sample of 1.72% Pt/SiO2, which had been prepared by an ion exchange method, consisted of almost atomic levels of Pt nanoparticles with 1.16 nm that are very consistent with the HRTEM measurements, while a Pt/SiO2 catalyst possessing the same Pt amount via an incipient wetness technique did 13.5 nm particles as determined by the XRD measurements. These two catalysts showed a noticeable difference in the on-stream deN2O activity maintenance profiles at 110℃. This discrepancy was associated with the nanoparticle sizes, i.e., the Pt/SiO2 catalyst with the smaller particle size was much more active for the N2O reduction. When repeated measurements of the N2O reduction with the 1.16 nm Pt catalyst at 110oC were allowed, the catalyst deactivation occurred, depending somewhat on regeneration excursions.

In this paper, we discuss a service to give alarm in the case of emergency for the old and the weak by human behavior recognition in Intelligent Space. Our Intelligent Space consists of mobile robots, sensors and agents. Agent analyzes data acquired from networked devices and determines tasks of robot and space to provide a service for humans. In our emergency alarm service, human behavior recognition service module analyzes accelerometer data obtained from body-attached human behavior sensing platform, and classifies into four basic human behavior such as "walking", "running", "sitting" and "falling-down". For the old and the weak, "falling-down" behavior may bring about dangerous situations. On such an occasion, emergency alarm service is executed automatically and a selected mobile robot approaches fallen person quickly and then send images of the person to guardians. In this paper, we set up a scenario to verify the emergency alarm service in Intelligent Space, and show feasibility of the service from our simulation experiments.

강변여과는 강물을 강변의 충적대수층에 통과시켜 지층의 자체정화능력을 이용하여 오염물질을 상당량 저감시킨 후 양수하는 방식이다. 국내에서는 대부분의 원수를 지표수에서 취수하여 사용하고 있는 실정이나, 오염물질의 증가로 인하여 지표수를 원수로 사용하기가 점점 어려워지고 있다. 강변여과를 이용하여 양질의 원수를 확보하기 위해서는 오염물 이동에 관한 이해가 중요하다. 본 연구에서는 대수층에 용존성 유기물질(DOM)과 박테리아가 동시에 존재할 경우를 대상으로 대