• Korean Journal of Remote Sensing
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• v.37 no.6_3
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• pp.2027-2034
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• 2021

Using multi-temporal KOMPSAT-3/3A high-resolution satellite images, the Normalized Difference Vegetation Index (NDVI) for the area around the Fukushima daiichi nuclear power plant was determined, and the pattern of vegetation changes was analyzed. To calculate the NDVI, surface reflectance from the KOMPSAT-3/3A satellite image was used. Satellite images from four years were used, and the zones where the images overlap was designated as the area of interest (AOI) for the study, and by setting a profile passing through highly vegetated area as a data analysis method, the changes by year were examined. In addition, random points were extracted within the AOI and displayed as a box plot to quantitatively indicate change of NDVI distribution pattern. The main results of this study showed that the NDVI in 2014 was low within AOI in the vicinity of the nuclear power plant, but vegetated area continued to expand until 2021. These results were also confirmed in the change monitoring results shown in a profile or box plot. In disaster areas where access is restricted, such as the Fukushima nuclear power plant area, where it is difficult to collect field data, obtaining land cover classification products with high accuracy using satellite images is challenging, so it is appropriate to analyze them using primary outputs such as vegetation indices obtained from high-resolution satellite imagery. It is necessary to establish an international cooperation system for jointly utilizing satellite images. Meanwhile, to periodically monitor environmental changes in neighboring countries that may affect the Korean peninsula, it is necessary to establish utilization models and systems using high-resolution satellite images.

• Journal of the Korea Society of Computer and Information
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• v.11 no.6 s.44
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• pp.87-97
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• 2006

This study aims to identify the effect that the perceived usefulness and perceived ease of use have on learner flow in e-learning community. Based on literature review and Technology Acceptance Model(TAM), a potential model and five hypotheses were suggested. Questionnaire was carried out among 62 members of one e-learning community for preparatory teacher Cronbach alpha of the questionnaire was.88. The collected data were analyzed through correlation analysis and path analysis. The results of this research are as follows. Three hypotheses were adopted: Perceived usefulness will affect on attitudinal flow, Perceived ease of use will affect on attitudinal flow. and Attitudinal flow will affect on behavioral flow. Two hypotheses were rejected;. Perceived usefulness will affect on perceived ease of use and Perceived ease of use will affect on behavioral flow. The model revised through the results of path analysis had good-fitness. That is. overall fit measures (RMSEA, CFI. NNFI). indexes that show the suitability of the model were quite good. Findings of this study suggested the important strategies for designing e-learning community in order to promote learner flow.

• Journal of the Korean Society for information Management
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• v.30 no.4
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• pp.133-154
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• 2013

The purpose of this study is to analyze service quality factors that affect user satisfaction of NDSL Open Service (NOS) and to improve standards of open service for sharing information through the user satisfaction survey. User satisfaction indexes were developed to measure the all aspects of the NOS services. The quality index, satisfaction index, and performance index were identified in this survey. According to the survey findings, the levels of social quality and social satisfaction are relatively high, this shows the positive evaluation and expectation of researchers for open services. However, relatively low level is identified in area of service process quality. Therefore, NOS requires method to help easily take advantage of OpenAPI and strategy to increase service process satisfaction and service environment satisfaction.

• Journal of Korean Society for Geospatial Information Science
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• v.14 no.2 s.36
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• pp.77-88
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• 2006

Overpopulation has been one of the most serious problem of the Seoul Metropolitan Area (SMA), which consists of the City of Seoul, Incheon, and the whole of Gyeonggi Province. People have been still moving into SMA, especially being concentrated into the fringe of Seoul. This study examines the inner city decline phenomenon of SMA which can be easily found in large cities over the world, based on the demographic data of these area. In addition, this study monitors the imbalance in growing of SMA by analyzing RMI (Rank Mobility Index), and the inverse relation between the self sufficiency of the adjacent area and the commuting rate to Seoul by analyzing commuting data. Even though the total population has been unchanged, the internal change of population was substantial. The growth of Seoul Metro region was placed near the city of Seoul, especially commuter data reassured the population concentrations. The results will be useful in urban planning and growth management.

• Journal of Conservation Science
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• v.27 no.3
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• pp.251-260
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• 2011

This study focus on the suggestion of standard legend, the process system on making method of deterioration map, the development of crack index (CI), and the evaluation techniques of surface and 3D deterioration rate for stone cultural heritage. The standard legends of deterioration forms were made using a common graphic program after crack, blistering, scaling, break-out, granular disintegration, and perforation were subdivided. The deterioration map improved accuracy and reliability on deterioration range using 3D digital restoration and high resolution photograph mapping technique. Also, quantitative deterioration evaluation of stone cultural heritage was carried out developing the crack index, and the 3D deterioration rate of a break-out part was calculated by virtual restoration modeling. As a quantitative deterioration evaluation of Magoksa Temple stone pagoda based on the results described above, the north face showed high deterioration rate of bursting crack (1.70), hair crack (1.34), scaling (20.2%) and break out (13.0%), and the 3D deterioration rate of first roof stone was 6.7%.

• The Journal of the Acoustical Society of Korea
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• v.42 no.6
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• pp.603-616
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• 2023

In this study, machine learning-based clustering and classification of residential noise in apartment buildings was conducted using frequency and temporal characteristics. First, a residential noise source dataset was constructed . The residential noise source dataset was consisted of floor impact, airborne, plumbing and equipment noise, environmental, and construction noise. The clustering of residential noise was performed by K-Means clustering method. For frequency characteristics, L_eq and L_max values were derived for 1/1 and 1/3 octave band for each sound source. For temporal characteristics, Leq values were derived at every 6 ms through sound pressure level analysis for 5 s. The number of k in K-Means clustering method was determined through the silhouette coefficient and elbow method. The clustering of residential noise source by frequency characteristic resulted in three clusters for both L_eq and L_max analysis. Temporal characteristic clustered residential noise source into 9 clusters for L_eq and 11 clusters for L_max. Clustering by frequency characteristic clustered according to the proportion of low frequency band. Then, to utilize the clustering results, the residential noise source was classified using three kinds of machine learning. The results of the residential noise classification showed the highest accuracy and f1-score for data labeled with L_eq values in 1/3 octave bands, and the highest accuracy and f1-score for classifying residential noise sources with an Artificial Neural Network (ANN) model using both frequency and temporal features, with 93 % accuracy and 92 % f1-score.

• Journal of Internet Computing and Services
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• v.17 no.4
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• pp.127-133
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• 2016

In the present knowledge and information society, every citizen can enjoy benefits of various advanced technologies such as information and communication technology(ICT) and smart technology. Nowadays everybody has to have some level of information literacy and application ability in order to enjoy benefits from various advanced technologies. In additions, knowledge and practice will about information and communication ethics are also required for all. Currently we need some kind of standards to evaluate and model everybody's information literacy and application capability. In this sense, information culture index has been developed to check information literacy and application capability of every citizen for various aspects of daily life. Information culture index consists of three standards, that is, application, awareness, and norm, respectively. Application standard indicates how information contents and skills are generalized for all. In other words, it is concerned with how every citizen can understand information literacy and use information skills in his or her daily life. Awareness standard is concerned with how well everyone can respect and trust others in the current information culture community. Norm standard is concerned with how everyone can use information communication services according to his or her desirable sense of information and communication ethics. The purpose of this paper is to analyze correlation between academic background and three standards of information culture index, that is, application, awareness, and norm. For this purpose, we use 2-year national survey works for information culture. After thorough statistical analysis, we can conclude that, awareness and norm standards do not show a meaningful correlation with academic background while application standard shows a meaningful correlation with academic background, It means that, the higher academic background one has, the higher application standard one can achieve. We expect that our correlation analysis results can be helpful to spread of information education and information culture in the future.

• 한국신재생에너지학회:학술대회논문집
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• 2011.11a
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• pp.151-151
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• 2011

오늘날 에너지문제는 인류가 직면한 가장 중요한 당면과제 중 하나이다. 석유, 석탄과 같은 화석에너지는 점점 고갈되어 가고 있으며, 이산화탄소 배출로 인한 기후변화도 해결이 시급한 문제이다. 이러한 문제들을 해결하기 위한 방안으로 신재생에너지의 중요성이 부각되고 있다. 특히 신재생에너지 기술 중 태양전지는 미국, 일본, 유럽, 중국 등 많은 국가에서 기술개발 및 보급에 앞장서고 있으며, 시장선점을 위한 기술개발 경쟁이 치열하다. 또한 연료전지의 경우 전기와 열을 동시에 생산 가능하며, 다른 에너지 변환기보다 훨씬 높은 효율을 가지고 있어 신에너지원으로서 주목받고 있다. 이와 함께 기후변화에 실질적인 해결책으로 세계는 CCS에 기대하고 있으며, 기술개발 및 실증을 위한 국제공동연구도 활발하게 진행 중이다. 본 논문에서는 이러한 중요성을 인식하여 태양전지, 연료전지 그리고 CCS에 대하여 국내외 에너지기술 활용도를 분석하였다. 활용도 분석을 위하여 특허등록건수, 특허의 피인용 정보와 이를 활용한 CPP지수를 산출하였다. 오늘날 특허는 국가나 기업 등 특정 주체에 대한 기술력 또는 혁신성을 측정하거나, 기술개발 동향을 파악하기 위한 중요한 정보로 사용된다. 특히 CPP지수(특허당 피인용지수)는 분석대상(국가, 기업 등)의 특허가 이후의 기술혁신 활동에 어느 정도의 활용되어 영향을 미쳤는가를 보여주는 지표로써, 특정 국가나 기업의 기술혁신 활동의 수준 및 혁신성과의 가치를 살펴 볼 수 있다. 이를 통하여 국내의 에너지기술 경쟁력을 살펴보고 시사점을 도출하였다. 우선 특허데이터 수집을 위하여 톰슨 이노베이션을 활용하여 2001년부터 2010년까지 미국, 일본, 유럽, 한국에 등록된 특허를 검색하였으며, 특허등록번호를 중심으로 중복데이터를 제거하였다. 또한 특허명칭, 요약정보를 통하여 노이즈를 제거하였다. 노이즈가 제거된 특허를 활용하여 기술별, 국가별 기술개발 동향을 살펴보았으며, CPP지수를 통하여 기술별, 국가별 활용도를 분석하였다. 분석 결과, 태양전지의 경우 대부분의 국가에서 특허건수가 매년 증가함에 따라, 지속적으로 기술경쟁이 심화되고 있는 것으로 분석되었다. 또한 한국의 CPP지수는 미국, 일본 등 주요 경쟁국가에 비해 상당히 낮게 나타나 기술 활용 수준이 낮은 것으로 분석되었다. 따라서 핵심기술 개발과 같은 에너지기술의 질적수준을 높이기 위한 대책마련이 필요한 실정이다. 본 논문의 결과를 통하여 특허를 위한 기술개발이 아닌 보다 활용성이 높은 기술개발이 이루어지기를 바라며, 나아가 국가에너지기술 경쟁력을 높이는데 기여할 것으로 기대한다.

• Proceedings of the Korea Water Resources Association Conference
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• 2022.05a
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• pp.484-484
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• 2022

서식지적합도지수(Habitat Suitability Index, HSI)는 어류의 환경생태유량(Environmental Ecological Flow) 산정과 관련해 국내외에서 PHABSIM (Physical Habitat Simulation System)이나 River2D 모형과 같은 생태수리 모형에 적용되고 있으며, 특히 물리적서식지모의시스템은 흐름특성(유량유속, 수심 등)의 변화에 대한 하도구간 내 대표어종의 물리적 서식지 변화를 예측하여 대상 어종에 대한 가용서식지면적(어류가 살 수 있는 서식지 면적, Weighed Usable Area, WUA)유량 관계를 통해 서식에 필요한 최적 유량을 산정하는 데 목적이 있다. 물리적 서식지적합도지수 산정과 화학적 서식지적합도지수 산정방법은 WDFW (Washington Department of Fish and Wildlife, 2004)방법과 IFASG (Instream Flow and Aquatic Systems Group, 1986)의 방법으로 산정하였다. 섬진강에서 2020년에는 3개지점, 2021년에는 2020년 3개지점과 새로운 3개지점에 대하여 각각 4, 5, 6, 9, 10 및 11월에 어류 조사 및 물리적 조건 등에 대하여 현장 모니터링을 실시하였다. 2차년도 동안 모니터링 결과 섬진강에서는 줄납자루, 섬진자가사리, 참중고기, 참몰개, 잉어, 붕어, 칼납자루, 큰납지리, 누치, 모래무지, 피라미, 치리, 블루길, 배스 14종에 대하여 물리적 및 화학적 HSI를 산정하였다. 주요종의 WDFW 방법에 따른 큰줄납자루는 수심 0.3~0.6 m, 유속 0.1~0.4 m/s, 섬진자가사리는 수심 0.2~0.5 m, 유속 0.3~0.7 m/s, 참중고기는 수심 0.4~0.8 m, 유속 0.1~0.6 m/s, 피라미는 수심 0.3~0.7 m, 유속 0.1~0.5 m/s로 산정되었다. IFASG 방법으로 큰줄납자루는 섬진강에서는 수심 0.64 m에서 최대의 출현도를 보였으며, HSI는 0.46~0.83 m, 유속은 0.59 m/s에서 최대의 출현도를 보였고, HSI는 0.38~0.83 m/s, 하상기질의 선호도는 평균입경(𝚽m) -1.14(grevel)에서 최대의 출현도를 보였으며, HSI -3.35~0.65(grevel~sand)로 산정되었다. 화학적 HSI 산정결과 큰줄납자루는 BOD는 1.0 mg/L에서 최대 출현도를 보였고, HSI는 0.7~1.2 mg/L, T-N은 0.925 mg/L에서 최대 출현도를 보이며 HSI는 0.604~1.277 mg/L, T-P는 0.028 mg/L에서 최대 출현도를 보이며 HSI는 0.021~0.034 mg/L, SS는 3.6 mg/L에서 최대 출현도를 보이며, HSI는 2.1~5.2 mg/L의 범위로 산정되었다. 산정된 범위는 환경부 생활환경기준 BOD 매우좋음(Ia)~좋음(Ib), T-P 매우좋음(Ia)~좋음(Ib) 등급으로 각각 확인되었다. 본 과제는 3차년(2022년)이 아직 남아 있어 HSI에 대하여 약간 보정이 있을 것이며, 최종 HSI가 산정이 되면 향후 환경적 기능을 고려한 중장기 정부 정책의 활용성 높은 기초자료가 될 것이다.

• 한국IT서비스학회:학술대회논문집
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• 2007.11a
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• pp.667-672
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• 2007

본 연구는 말콤 볼드리지 요소와 BSC의 각 관점의 KPI 지수간의 연계들 통하여 기업 경영품질향상을 위한 평가모형 구축과 전략 설정을 그 목표로 하고 있다. 기업경영과 관련된 제 영역에 대한 고찰이 가능한 말콤 볼드리지 평가 항목을 살펴보고, 기업경영 성과 측정을 위한 구체적 평가항목을 제시함으로써 부서간 연계 및 인과관계 설정, 전략과의 연계가 가능하여 경영자의 전략 설정과 리더십에 도움을 줄 수 있는 BSC 항목을 살펴 본 후, 기업 경영혁신과 프로세스 개선을 위한 두 평가 항목의 연계를 통하여 평가항목 관리요소의 중복을 제거하고 동일화를 달성, '기업성과 향상' 이라는 공동 목표달성을 위해 MB 및 BSC 두 개선 노선이 시너지를 달성할 수 있는 체계를 마련하고자 한다. 이는 MB와 BSC의 연계방안을 살펴봄으로써 기업의 '경영품질'을 향상시키고, 향상된 경영품질을 구체적 항목에 의거하여 체계적으로 평가할 수 있는 방안을 찾음과 동시에 기업 전략 설정에 이바지할 수 있는 모형구축을 그 목표로 하고 있다.