식물성 오일을 이용한 바이오 항공유의 제조공정에서 탈산소 반응의 적절한 운전조건 선정을 통한 생성물 물성 최적화는 최대의 바이오항공유 수율을 얻기 위해 필수적인 요소이다. 이에 따라 팜유의 탈산소화 반응이 1 wt.% Pt/Al2O3촉매가 장입된 내경이 1인치인 고정층 반응기에서 수행되었다. 업그레이딩 공정을 통하여 수송 연료로 활용될 수 있는 액체 생성물(organic liquid product)은 가스 크로마토그래피 방법으로 그 조성을 분석하였다. 피드 내의 팜유/수소 비율과 수소 압력은 탈카르복실레이션과 수첨탈산소 반응에 영향을 주어 생성물의 조성 변화를 초래하였다. 반응 온도가 증가함에 따라 탈산소 생성물의 연속적 크래킹 반응이 촉진되어 C5~C14영역의 생성물 조성이 증가하였다. 본 연구의 결과는 팜유의 탈산소화 반응 특성의 이해 뿐 아니라 연속 공정인 수첨 업그레이딩 공정을 통한 바이오 항공유의 제조에 도움을 줄 수 있다.

바이오항공유 제조 공정 내 수첨업그레이딩 공정의 운전조건 선정은 반응물로부터 얻고자 하는 주생성물인 탄화수소 화합물에 대하여 바이오항공유로서 원하는 탄소수 분포의 물성을 갖도록 하기 위한 중요한 인자이다. 본 연구에서는 식물성 오일 유래 노말 파라핀계 탄화수소 화합물에 대한 수첨 업그레이딩 반응이 0.5 wt.% Pt/Zeolite 촉매 하에서 수행되었으며, 이를 통해 크래킹 반응과 이성질화 반응이 동반됨으로써 바이오항공유로서 물성을 갖는 탄소수 분포인 C8-C16에 해당하는 노말 파라핀계와 이소 파라핀계가 혼합된 탄화수소류 화합물이 제조되었다. 반응온도, 반응압력, 반응물 몰비와 공간속도를 변화하여 얻어진 생성물의 수율 및 조성을 분석하였다. 상기 공정 조건에 대한 정보는 수첨 업그레이딩 반응특성의 이해뿐 아니라 향후 증류를 통한 바이오항공유 제조에 도움을 줄 수 있다.

To reduce manufacturing costs of crystalline silicon solar cells, silicon wafers have become thinner. In relation to this, the properties of the aluminium-back surface field (Al-BSF) are considered an important factor in solar cell performance. Generally, screen-printing and a rapid thermal process (RTP) are utilized together to form the Al-BSF. This study evaluates Al-BSF formation on a (111) textured back surface compared with a (100) flat back surface with variation of ramp up rates from 18 to 89˚C/s for the RTP annealing conditions. To make different back surface morphologies, one side texturing using a silicon nitride film and double side texturing were carried out. After aluminium screen-printing, Al-BSF formed according to the RTP annealing conditions. A metal etching process in hydrochloric acid solution was carried out to assess the quality of Al-BSF. Saturation currents were calculated by using quasi-steady-state photoconductance. The surface morphologies observed by scanning electron microscopy and a non-contacting optical profiler. Also, sheet resistances and bulk carrier concentration were measured by a 4-point probe and hall measurement system. From the results, a faster ramp up during Al-BSF formation yielded better quality than a slower ramp up process due to temperature uniformity of silicon and the aluminium surface. Also, in the Al-BSF formation process, the (111) textured back surface is significantly affected by the ramp up rates compared with the (100) flat back surface.

Soil texture, pH, organic carbon, organic matter, organic nitrogen, total phosphorus and chemical speciation were studied on the soil samples from Dok-do, Korea. Dok-do soil was composed mostly of silt, and textures were silt and silt loam. Soil pH was normally neutral but in some areas, acidic and very high content of organic matter. High content of organic matter explained the origin of Dok-do soil was related to the vegetation of the island. C/N ratio of the soil organic matter 15 meant the organic matter in the soil had moderately degraded plant debris. The most important chemical speciation of soil phosphorus in Dok-do was Residual P, meant the source of soil phosphorus was plant, and high ratio of Apatite P was considered to relate to the feces of water bird of the area.

Abstract This paper presents a speaker recognition system intended for use in human-robot interaction. The proposed speaker recognition system can achieve significantly high performance in the Ubiquitous Robot Companion (URC) environment. The URC concept is a scenario in which a robot is connected to a server through a broadband connection allowing functions to be performed on the server side, thereby minimizing the stand-alone function significantly and reducing the robot client cost. Instead of giving a robot (client) on-board cognitive capabilities, the sensing and processing work are outsourced to a central computer (server) connected to the high-speed Internet, with only the moving capability provided by the robot. Our aim is to enhance human-robot interaction by increasing the performance of speaker recognition with multiple microphones on the robot side in adverse distant-talking environments. Our speaker recognizer provides the URC project with a basic interface for human-robot interaction.