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구글 글래스의 TV 서비스 UX 시나리오 개발에 관한 연구
김승주(Seungju Kim),김선우(Seonwoo Kim),김예슬(Yeseul Kim),김소영(Soyoung Kim),김성우(Sungwoo Kim) 한국HCI학회 2014 한국HCI학회 학술대회 Vol.2014 No.2
지난 2012년 공개된 구글의 구글 글래스(Google Glass)는 안경 형태의 웨어러블 컴퓨터(Wearable Computer) 를 통해 지금까지 경험할 수 없었던 새로운 ICT 디바이스의 시나리오를 보여주었다. 행동에 구애 받지 않고 어디서든 항상 디스플레이를 볼 수 있다는 구글 글래스의 장점은 TV 서비스 산업에 있어서 새로운 서비스 영역의 기회가 될 수 있다. 본 연구에서는 향후 출시될 구글 글래스를 통하여 차세대 TV 서비스 등장 시 발생할 수 있는 UX에 대하여 연구하였다. 이러한 구글 글래스의 TV 서비스 이용에 대한 UX를 본 논문에서는 ‘구글 글래스 TV UX’라 정의하였다. 구글 글래스의 TV서비스 이용 시 어떠한 사용자 경험을 제공할 수 있는지 디바이스, 서비스, 콘텐츠 측면으로 분석하였고, 각 항목에 따른 UX 요소를 도출하였다. 도출된 UX 요소를 바탕으로 구글 글래스의 TV UX에 대한 시나리오를 제시하였다. Last October 2012 using the Wearable Computer in the form of glasses, Google Glass of Google showed scenarios of a new ICT devices that could not be experienced until now. Google glass has an advantage that the display is always visible at every place undeterred by action of google glass, and that can be the opportunity of new service area in TV service. In this paper, I study UX which can be occurred in accordance with the appearance of next generation TV service through a future release Google glass. Such usage of TV service by google glass is defined as "Google Glass TV UX" in this paper. I analyzed what kind of user experience can be provided when using the TV service in Google glass, in the aspects of device, service, and contents, and draw UX elements according to each segment. Based on those elements, I suggest a scenario of "Google Glass TV UX."
Kim, Seungju,Hou, Jue,Wang, Yuqi,Ou, Ranwen,Simon, George P.,Seong, Jong Geun,Lee, Young Moo,Wang, Huanting The Royal Society of Chemistry 2018 Journal of Materials Chemistry A Vol.6 No.17
<P>Thermally rearranged (TR) polymers are an important class of microporous polymers with remarkable gas transport performance, particularly suitable for CO2 permeation and separation over large gas molecules. The fabrication of TR polymers into ultrathin membranes is highly desirable for practical application, but it is very challenging. In this work, a 2D scaffold of graphene oxide (GO) nanosheets was formed inside a TR polymer to assist the fabrication of a defect-free and ultrathin (less than 40 nm) selective layer of thermally rearranged polybenzoxazole-<I>co</I>-imide (TR-PBOI) membranes for energy-efficient CO2 separation. The GO scaffold inside the polymer phase not only enabled the formation of the ultrathin selective layer of TR-PBOI, but also provided mechanical robustness. The resulting membrane showed remarkable gas permeance, while maintaining the gas selectivity of the pristine polymer. In particular, it had a CO2 permeance of 1784 GPU and a CO2/CH4 selectivity of 32, whereas the freestanding TR-PBOI membrane only exhibited a CO2 permeance of 3.7 GPU with a CO2/CH4 selectivity of 35. In other words, the rGO-PBOI (TR-PBOI with reduced GO) membrane has 482 times higher CO2 permeance than the TR-PBOI freestanding membrane at a similar CO2/CH4 selectivity.</P>
Kim, Seo Hwa,Kim, Haneul,Kim, Seungju,Paek, SeungIn,Koh, Jung Hee,Lee, Jennifer,Cho, Yong-Won,Park, Sung-Hwan KOREAN ACADEMY OF MEDICAL SCIENCE 2018 JOURNAL OF KOREAN MEDICAL SCIENCE Vol.33 No.35
<P><B>Background</B></P><P>This study aimed to address sleep quality in patients with rheumatoid arthritis (RA) and to determine how it affects health-related quality of life (HRQoL) and cognitive function.</P><P><B>Methods</B></P><P>One hundred and twenty-three patients with RA and 76 healthy controls were enrolled in this study. Sleep quality was assessed using the Korean version of the Pittsburgh Sleep Quality Index (PSQI). Cognitive function and HRQoL was evaluated by a Korean-Montreal Cognitive Assessment (MoCA-K) and 36-item Short-Form Health Survey (SF-36), respectively. Other clinical, demographic, and laboratory data were obtained from retrospective medical chart review.</P><P><B>Results</B></P><P>More patients in the RA group reported poor sleep quality (PSQI > 5) than in the control group (61% [75/123] vs. 39.5% [30/76]; <I>P</I> = 0.003). Total PSQI was also significantly higher in the RA group (median [interquartile range], 7 [5–11] vs. 5 [3–6.75]; <I>P</I> = 0.001). Total PSQI score negatively correlated with MoCA-K score (Spearman's rho (<I>r</I>) = −0.223; <I>P</I> = 0.003) with a physical component summary (PCS) of SF-36 (<I>r</I> = −0.221; <I>P</I> = 0.003) and a mental component summary (MCS) of SF-36 (<I>r</I> = −0.341; <I>P</I> < 0.001), which means that poor sleep quality was associated with poor cognitive function and low HRQoL.</P><P><B>Conclusion</B></P><P>The findings of this study suggest that poor sleep quality is an independent risk factor for low HRQoL and cognitive dysfunction. Efforts to improve the sleep quality of RA patients seem to be an important aspect of integrative treatment for RA.</P>
Thermographic Inspection of CLP Defects on the Subsurface Based on Binary Image
Seungju Lee,Yoonjae Chung,Chunyoung Kim,Ranjit Shrestha,Wontae Kim 한국정밀공학회 2022 International Journal of Precision Engineering and Vol.23 No.3
This study performed an experimental investigation on LIT to detect thinning defects of steel plates that is the protective wall of the structure of a nuclear power plant in Korea. IRT has proven to be an important technique in NDT because it can quickly inspect a large area in real time. However, the most important problem in the analysis of infrared thermography technology is the acquisition of quantitative data. In this study, we present a quantitative detectability analysis of thinning defects on the subsurface of CLP. The optimum excitation frequency and cycle of amplitude and phase was analyzed through a LIT to which to total 4 cycles were applied, and PCA signal processing was performed based on the amplitude and phase images. The SNR of the image applied the four filtering (mean, median, NLmeans and Gaussian) at 0.02 Hz was analyzed. In addition, the binary image processing classified based on the threshold value was performed using the Otsu algorithm. Then, RMSE was calculated by fusion with the raw image and comparative analysis was performed to analyze the detectability of each image. This proved the potential of quantification of defects by calculating RMSE.