http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.
변환된 중국어를 복사하여 사용하시면 됩니다.
Bae, Sungjun,Gim, Suji,Kim, Hyungjun,Dorcet, Vincent,Pasturel, Mathieu,Grenè,che, Jean-Marc,Darbha, Gopala Krishna,Hanna, Khalil American Chemical Society 2017 The Journal of Physical Chemistry Part C Vol.121 No.45
<P>Magnetite is one of the most well-characterized and used iron oxides in a variety of research and industrial fields. Its easy separation by magnetism has attracted great attention for use as a support material for various noble metallic catalysts. Here, we report for the first time that bare polycrystalline magnetite can show a remarkable catalytic activity toward <I>p</I>-nitrophenol reduction by sodium borohydride, while three other single-crystal magnetite samples exhibit little effect on the catalysis. Electron and atomic force microscopies and Mössbauer spectrometry showed that elemental Fe nanoparticles were formed on the surface of polycrystalline magnetite. Density functional theory calculation further elucidated that the Fe atom exposed at the high-index magnetite surface develops a significant Fe–BH<SUB>3</SUB> interaction and that its leaching-out process can be substantially promoted. Surprisingly, recycling tests showed that this great activity could be fully preserved up to 10 reaction cycles, in contrast to the other noble metal-based catalysts that showed a decrease in the catalytic activity as the reaction cycle increased.</P><P><B>Graphic Abstract</B> <IMG SRC='http://pubs.acs.org/appl/literatum/publisher/achs/journals/content/jpccck/2017/jpccck.2017.121.issue-45/acs.jpcc.7b08178/production/images/medium/jp-2017-08178v_0010.gif'></P><P><A href='http://pubs.acs.org/doi/suppl/10.1021/jp7b08178'>ACS Electronic Supporting Info</A></P>
장수지(Suji Jang),배병철(Byung-Chull Bae) 한국디지털콘텐츠학회 2021 한국디지털콘텐츠학회논문지 Vol.22 No.12
In this paper, we introduce an interactive storytelling content that enables real-time conversation between NPCs and the player. To implement this content, we used the Unity game engine and Amazon Lex, a chatbot API. We also provided a chat-style UI for players to receive conversations in text format. The implemented dialog system that we propose is designed to classify the intention and sentiment of the text entered by the user to change the NPCs likability and response. The sentiment is classified into positive, negative, and neutral, and there are about 20 types of predefined chatbot intentions. As a result of an experiment with 7 participants, about 57% of participants did not feel any discomfort in using the chat-type UI conversation system. Also, we found that conversations with chatbots were considered to be more natural than the randomized version which answered all questions at random.