Effective optimization of surface passivation on porous silicon carbide using atomic layer deposited Al2O3

Porous silicon carbide (B–N co-doped SiC) produced by anodic oxidation showed strong photoluminescence (PL) at around 520 nm excited by a 375 nm laser. The porous SiC samples were passivated by atomic layer deposited (ALD) aluminum oxide (Al2O3) films, resulting in a significant enhancement of the PL intensity (up to 689%). The effect of thickness, annealing temperature, annealing duration and precursor purge time on the PL intensity of ALD Al2O3 films was investigated. In order to investigate the penetration depth and passivation effect in porous SiC, the samples were characterized by X-ray photoelectron spectroscopy (XPS) and time-resolved PL. The optimized passivation conditions (20 nm Al2O3 deposited at 160 °C with purge time of 20 s, followed by an annealing for 5 min at 350 °C) for porous SiC were achieved and the results indicate that surface passivation by ALD Al2O3 thin films is a very effective method to enhance the luminescence efficiency of porous SiC

Developing a Lesson Plan for a Learning of Pollution Focused on Scientific Inquiry: Based on developing a Tentative Lesson Plan of a Secondary Social Studies “Morinaga Arsenic Milk Poisoning Incident”

本研究は，科学的探求の論理に基づき中学校社会科公民的分野において実践可能な公害学 習の単元開発を行おうとするものである。本研究で公害学習の単元開発に取り組む目的は， 以下の二点である。 １．地球規模の環境問題などが取り上げられることが多くなってきている一方で，近年，公 害が取り上げられる機会が減ってきている。しかし，薬害や食品公害が後を絶たないように， 決して公害がなくなっているわけではなく，時代や社会の状況を踏まえた公害学習の単元開 発は依然として求められていること。 ２．かつての公害学習では，公害の原因は資本主義経済における企業の行動に関する理論で 説明されることが多かった。しかし，企業だけではなく行政などを含む社会全体の構造の中 で公害発生の要因を捉えさせる必要があること。 　以上の目的のため，本研究では森永ヒ素ミルク中毒事件を取り上げて単元開発を行った。 この事件を取り上げることで，公害発生の原因追究だけではなく，その拡大や解決の遅れな どの面からも公害問題を追究させることができた。また，被害が大きく社会的反響も大きか ったにもかかわらず，学校教育の中でこれまで取り上げられることが少なかった森永ヒ素ミ ルク中毒事件の初めての本格的な教材化ということも本研究の意義の一つである

Lighty: A Painting Interface for Room Illumination by Robotic Light Array

ABSTRACT We propose an AR-based painting interface that enables users to design an illumination distribution for a real room using an array of computer-controlled lights. Users specify an illumination distribution of the room by painting on the image obtained by a camera mounted in the room. The painting result is overlaid on the camera image as contour lines of the target illumination intensity. The system runs an optimization interactively to calculate light parameters to deliver the requested illumination condition. In this implementation, we used actuated lights that can change the lighting direction to generate the requested illumination condition more accurately and efciently than static lights. We built a miniature-scale experimental environment and ran a user study to compare our method with a standard direct manipulation method using widgets. The results showed that the users preferred our method for informal light control. We propose an augmented reality (AR) user interface called Lighty that enables users to easily design an illumination distribution for a real room using an array of computer-controlled lights. Users specify which area of the room is to be well-lit and which is to be dark by painting an illumination distribution on a tablet device displaying an image obtained by a camera mounted in the room. The system runs an optimization to calculate the light parameters and then illuminates the room. Our method is inspired by the goal-based lighting optimization approach in computer graphics SYSTEM OVERVIEW Our overall system is shown in USER INTERFACE The user interface is shown i