• 대한원격탐사학회:학술대회논문집
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• 대한원격탐사학회 2007년도 Proceedings of ISRS 2007
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• pp.286-289
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• 2007

This study is to develop a cloud detection algorit1un for COMS and it is currently tested by using MODIS level 2B and MTSAT-1R satellite radiance data. Unlike many existing cloud detection schemes which use a threshold method and traditional statistical methods, in this study a feed-forward neural network method with back-propagation algorit1un is used. MODIS level 2B products are matched with feature information of five-band MTSAT 1R image data to form the training dataset. The neural network is trained over the global region for the period of January to December in 2006 with 5 km spatial resolution. The main results show that this model is capable to detect complex cloud phenomena. And when it is applied to seasonal images, it shows reliable results to reflect seasonal characteristics except for snow cover of winter. The cloud detection by the neural network method shows 90% accuracy compared to the MODIS products.

• 한국시스템다이내믹스연구
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• 제15권3호
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• pp.61-79
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• 2014

This paper deals with system thinking in the resilience of the SES (Social-Ecological Systems) around Mt. Gariwang, located in Jeongseon County, Gangwon Province, in particular with the disturbance that a new ski slope is planned to be built for the PyeongChang 2018 Winter Olympic. It first performs a literature survey and newspaper article search to summarize the controversy with regards to credible environmental and socio-economical impacts of the plan, and then elaborates a series of CLDs (Causal Loop Diagrams) to infer the dynamics of the impacts. The results imply that the natural restoration seems to be hard because the development activities can cause a great deal of damage to the ecosystem mainly due to soil degradation and the mitigation of icy valley effects with water exploitation for making artificial snow and so on. Moreover most of the households near the planned site seem to leave with land compensation, thus more policy efforts are needed to enhance the resilience of the ecosystem and the nearby society based on ecotourism.

• 대한기계학회:학술대회논문집
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• 대한기계학회 2008년도 추계학술대회B
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• pp.2910-2915
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• 2008

This paper was investigated the behaviors of the engine and combustion phenomena for various LPG compositions in the semi-return type system, which is not recircurated to LPG tank through furl rail, applied LPi engine during a cold idle condition and including a cold start of the engine. Cyclic HC and NOx emissions were measured at exhaust port to examine their formation mechanical and reduction mechanical with fast response gas analyzers. Various ignition timing is experimented to study the characteristics of combustion phenomena, HC/NOx emissions during fast idle. Also, this study was investigated start delay time, cylinder pressure, HC/NOx emissions, Mass Fraction Burned, starting time to evaluate performance of transient cold startability. Compared to the return type system, the semi-return type system have advantages in point of production cost and equivalent performance of engine starting time and pressure settling time.

• 한국시스템다이내믹스연구
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• 제14권2호
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• pp.31-53
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• 2013

This article deals with a Causal-Loop analysis of the characteristics of Ouroboros effects. The meaning of the effects is that solutions to problems are usually intended as final fixes, but more often than not, while solving one problem, they generate more problems. It means 'to worsen through attempts to make better.' The Ouroboros effects are very dangerous because they are regarded as a kind of self-destructive mechanisms. While existing researchers recognize the risks of the effects, they are not able to solve the systematic problem but only to describe the symptom. Such a way to deal with the effects results in difficulty to clarify the cause-and-effect relationship within the system. Thus the authors are focusing on explaining the effects by SD (System Dynamics), which are considered as the sole methodology to do effectively so far since SD is a great tool to discover structural causes. To solve the self-destructive problem of the effects, the authors analyze the characteristics of several cases of the effects in elaborating the CLD (Causal Loop Diagram) for each case. The analysis reveals the structural characteristics of the effects and how to correct them towards maintaining the sustainability of systems.

• 한국정보과학회:학술대회논문집
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• 한국정보과학회 2010년도 한국컴퓨터종합학술대회논문집 Vol.37 No.1(C)
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• pp.414-418
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• 2010

최근 라이프 로그의 수집과 관리에 관련된 연구가 많이 진행 중에 있다. 또 핸드폰 카메라, 디지털 카메라, 캠코더 등의 발전으로 자신의 일상생활을 비디오로 저장하고, 인터넷을 통해 공유하는 사람도 증가하고 있다. 비디오 데이터는 많은 정보를 포함하고 있는 라이프 로그의 한 예로. 동영상의 촬영 및 수집이 활발해짐에 따라 동영상의 메타정보를 생성하고, 이를 이용해 동영상 검색과 관리에 이용하려는 연구들이 진행 중이다. 본 논문에서는 라이프 로그를 수집하고 수집된 동영상과 라이프 로그를 이용하여 의미정보를 추출하는 시스템을 제안한다. 의미정보란 사용자의 행동을 나타내는 정보로써 컴퓨터 사용, 식사, 집안일, 이동, 외출, 독서, 휴식, 일, 기타로 9가지의 의미정보를 추출한다. 제안하는 방법은 사용자로부터 GPS, 가속도센서, 캠코더를 이용해 실제 데이터를 수집하고, 전처리 과정을 통하여 특징을 추출한다. 이때 추출될 특징은 위치정보와 사용자의 상태정보 그리고 영상처리릍 통한 RGB와 HSL 색공간의 요소와 MPEG-7의 EHD(Edge Histogram Descriptor). CLD(Color Layout Descriptor)이다. 추출된 특징으로부터 사람 행동과 같은 불안정한 상황에서 강점을 보이는 확률모델 네트워크인 베이지안 네트워크를 이용하여 의미정보를 추출한다. 제안하는 방법의 유용성을 보이기 위해 실제 데이터를 수집하고 추론하고 10-Fold Cross-validation을 이용하여 데이터를 검증한다.

• Journal of Plant Biotechnology
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• 제49권1호
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• pp.15-29
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• 2022

Cyclophilins (CYPs) are highly conserved ubiquitous proteins belong to the peptidyl prolyl cis/trans isomerase (PPIase) superfamily. These proteins are present in a wide range of organisms; they contain a highly conserved peptidyl-prolyl cis/trans isomerase domain. A comprehensive database survey identified a total of 35 genes localized in all cellular compartments of Solanum lycopersicum L., but largely in the cytosol. Sequence alignment and conserved motif analyses of the SlCYP proteins revealed a highly conserved CLD motif. Evolutionary analysis predicted the clustering of a large number of gene pairs with high sequence similarity. Expression analysis using the RNA-Seq data showed that the majority of the SlCYP genes were highly expressed in mature leaves and blooming flowers, compared with their expression in other organs. This study provides a basis for the functional characterization of individual CYP genes in the future to elucidate their role(s) in protein refolding and long-distance signaling in tomatoes and in plant biology, in general.

• 한국건축시공학회:학술대회논문집
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• 한국건축시공학회 2023년도 봄 학술논문 발표대회
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• pp.81-82
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• 2023

Since the COVID-19 pandemic, the importance of remote work has been emphasized, and new digital technologies are rapidly being developed. One such digital technology is the metaverse, which combines reality and virtual space to create an expanded digital world. The metaverse can provide online collaborative spaces that visualize and transmit information and data in real-time. When applied to construction sites, this technology is expected to enable more efficient and stable project management. However, research on construction metaverses, both domestically and internationally, is still inadequate. In this study, 16 influential factors for promoting the application of metaverses to the construction industry were identified through the initial stages of the system dynamics technique. These performance factors were classified into four categories: systemrelated factors for metaverse site construction, device-related factors, user-related factors, and construction site-related factors. It is expected that this study will promote research on the activation of Con-Metaverse by developing casual loop diagrams(CLD) to identify the relationship between each performance factor and constructing stock & flow diagrams(SFD) for simulations in future studies.

• 한국정보시스템학회지:정보시스템연구
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• 제29권3호
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• pp.179-195
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• 2020

Purpose & Design/methodology/approach Amidst the COVID-19 spread, interest in telework has been increasing as a way to respond to environmental changes and improve organizational performance. In this study, causal loop diagram, thinking process, and four principles of TRIZ were used to find various ways to achieve work-life balance for workers and firms in teleworking environment. Findings The result of the causal loop diagram shows that keeping work-life balance is needed to provide free extra time for workers and achieve the firm's performance through efficient coordination between departments in teleworking environment. Using thinking process of TOC, we proposed a evaporating cloud for work-life balance and reviewed assumptions and premises to maintain extra free time for workers and achieve firm's performance paradoxically, and suggested solutions through the breakdown of the assumptions and premises. Resolving the contradiction(RC) by spatial separation is to divide working spaces into home, smart center, and mobile work types, to find both ways to achieve the organizational performance, and to provide extra time for workers. RC by temporal separation is to divide working time into various unit time, and to find ways to achieve organizational performance through doing work at office or home periodically or shiftly according to a predetermined schedule and time setting. RC by situational separation is to give options of flexible methods of performing work according to the conditions of the company or the worker. RC by separation between part and a whole is to find ways to organize and do the work so that the entire work can be completed efficiently even if each work is performed separately in teleworking way. This study is meaningful in that it provides basic thinking framework for achieving work-life balance in teleworking environment and proposes ways to resolve conflict from various perspectives, but it is limited in that it has not been tested empirically.

• 한국전기전자재료학회논문지
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• 제29권4호
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• pp.237-240
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• 2016

The improvement of irradiation intensity and irradiation uniformity is essential for large area and high power UVA light source application. In this study, large number of chips bonded by micro soldering technique were driven by low current, and current limiting diodes were configured to supply constant current to parallel circuits consisting of large number of series strings. The dimension of light source module circuit board was $350{\times}90mm^2$ and 16,650 numbers of 385 nm flip chip LEDs were used with a configuration of 90 parallel and 185 series strings. The space between LEDs in parallel and series strings were maintained at 1.9 mm and 1.0 mm distance, respectively. The size of the flip chip was $750{\times}750{\mu}m^2$ were used with contact pads of $260{\times}669{\mu}m^2$ size, and SAC (96.5 Sn/3.0 Ag/0.5 Cu) solder was used for flip chip bonding. The fabricated light source module with 7.5 m A supply current showed temperature rise of $66^{\circ}C$, whereas irradiation was measured to be $300mW/cm^2$. Inaddition, 0.23% variation of the constant current in each series string was demonstrated.

• Asian Pacific Journal of Cancer Prevention
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• 제16권1호
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• pp.381-385
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• 2015

Background:Hepatocellular carcinoma (HCC) is the second most common malignancy in Egypt. Data mining is a method of predictive analysis which can explore tremendous volumes of information to discover hidden patterns and relationships. Our aim here was to develop a non-invasive algorithm for prediction of HCC. Such an algorithm should be economical, reliable, easy to apply and acceptable by domain experts. Methods: This cross-sectional study enrolled 315 patients with hepatitis C virus (HCV) related chronic liver disease (CLD); 135 HCC, 116 cirrhotic patients without HCC and 64 patients with chronic hepatitis C. Using data mining analysis, we constructed a decision tree learning algorithm to predict HCC. Results: The decision tree algorithm was able to predict HCC with recall (sensitivity) of 83.5% and precession (specificity) of 83.3% using only routine data. The correctly classified instances were 259 (82.2%), and the incorrectly classified instances were 56 (17.8%). Out of 29 attributes, serum alpha fetoprotein (AFP), with an optimal cutoff value of ${\geq}50.3ng/ml$ was selected as the best predictor of HCC. To a lesser extent, male sex, presence of cirrhosis, AST>64U/L, and ascites were variables associated with HCC. Conclusion: Data mining analysis allows discovery of hidden patterns and enables the development of models to predict HCC, utilizing routine data as an alternative to CT and liver biopsy. This study has highlighted a new cutoff for AFP (${\geq}50.3ng/ml$). Presence of a score of >2 risk variables (out of 5) can successfully predict HCC with a sensitivity of 96% and specificity of 82%.