• Journal of Korean Society of Forest Science
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• v.87 no.2
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• pp.211-219
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• 1998

The major purpose of this study was to analyze the observance of attributes influencing on park visitors' experiences. The Importance-Performance technique has been commonly used to evaluate the importance of various recreation programs and management. In this study, the Importance-Performance technique was adopted to present a new approach called Observance-Influence Analysis. During the summer of 1996, 550 Worak-san National Park visitors were surveyed. The results of this study indicated that physical and biological attributes such as clear water, clean air, and beautiful valley, etc. were highly observed by visitors and those also highly influenced on visitors' experiences. Based on the respondents' rating to the attributes, action grid was formulated to suggest management actions. As mentioned before, attributes such as clear water, clean air, and beautiful valley were recognized as attributes needed concentrate efforts. Attributes related to forests such as diverse plants and trees, well maintained forests, etc. were also suggested as potential concerned attributes. However attributes related to services did not influenced highly on the visitors' experiences.

• Journal of KIISE:Software and Applications
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• v.27 no.7
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• pp.769-783
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• 2000

In this paper, in order to disambiguate Korean noun word sense, we define a local context and explain how to extract it from a raw corpus. Following the intuition that two different nouns are likely to have similar meanings if they occur in the same local context, we use, as a clue, the word that occurs in the same local context where the target noun occurs. This method increases the usability of extracted knowledge and makes it possible to disambiguate the sense of infrequent words. And we can overcome the data sparseness problem by extending the verbs in a local context. The sense of a target noun is decided by the maximum similarity to the clues learned previously. The similarity between two words is computed by their concept distance in the sense hierarchy borrowed from WordNet. By reducing the multiplicity of clues gradually in the process of computing maximum similarity, we can speed up for next time calculation. When a target noun has more than two local contexts, we assign a weight according to the type of each local context to implement the differences according to the strength of semantic restriction of local contexts. As another knowledge source, we get a co-occurrence information from dictionary definitions and example sentences about the target noun. This is used to support local contexts and helps to select the most appropriate sense of the target noun. Through experiments using the proposed method, we discovered that the applicability of local contexts is very high and the co-occurrence information can supplement the local context for the precision. In spite of the high multiplicity of the target nouns used in our experiments, we can achieve higher performance (89.8%) than the supervised methods which use a sense-tagged corpus.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.14 no.4
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• pp.1863-1870
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• 2013

The purpose of this study is when the cases will be found, used as a basic data for clinical severity prediction, and research on suicide prevention. By classifying the group of survival and death about the patients who visit the Emergency Medical Center by attempt suicide by drug addiction, identifying the condition when visiting and results of the treatment after visiting. From June 2009 to May 2011, last two years data that among the drug abusers who visited the Emergency Medical Center in C-University Hospital in Gwang-Ju, only suicidal patients, except with unintentional accidents were collected. The findings, among the drug addiction patients who high age, lower level of education and living alone were the mortality rate was higher. And if who drunk the agricultural chemicals, the convalescence was not good. If the causes of suicide were economic problems and depression, the mortality rate was higher. And when visit hospital, if the consciousness was stupor and semi-coma/coma, the convalescence was not good. As grasp the risk for suicide patients of drug addiction, help on the Prediction of clinical severity, also stamp the appropriate drug education with psychological support is more important on them.

• Journal of Korean Society for Geospatial Information Science
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• v.18 no.4
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• pp.141-149
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• 2010

Three-dimensional geo-spatial information is important for the efficient use and management of the country and the three-dimensional expression and analysis of urban projects, such as urban plans devised by local governments and urban management. Thanks to the revitalization of the geo-spatial information service industry, it is now being variously used not only in public but also private areas. For the creation of high-guiltily three-dimensional geo-spatial information, emphasis should be placed on not only the quality of the source image and three-dimensional geo-spatial model but also the level of visualization, such as level of detail and texturing. However, in the case of existing three-dimensional geo-spatial information, its establishment process is complicated and its data are not updated frequently enough, as it uses ready-created digital maps. In addition, as it uses Ortho Images, the images exist Relief displacement. As a result, the visibility is low and the three-dimensional models of artificial features are simplified to reach LoD between 2 and 3, making the images look less realistic. Therefore, this paper, analyzed the quality of three-dimensional geo-spatial information created using the three-dimensional modeling technique were applied using Digital photogrammetry technique, using digital aerial photo images by an existing large-format digital camera and multi-looking camera. The analysis of the accuracy of visualization information of three-dimensional models showed that the source image alone, without other visualization information, secured the accuracy of 84% or more and that the establishment of three-dimensional spatial information carried out simultaneously with filming made it easier to gain the latest data. The analysis of the location accuracy of true Ortho images used in the work process showed that the location accuracy was better than the allowable horizontal position accuracy of 1:1,000 digital maps.

• The Journal of the Korea Contents Association
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• v.19 no.12
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• pp.279-288
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• 2019

The purpose of this study was to compare the health behaviors and health indices according to whether a percutaneous coronary intervention(PCI) was performed due to chest pain. This is a secondary data analysis study of nursing information questionnaires and electronic medical records of 247 chest pain patients in a hospital from January 2010 to December 2017. The participants were divided into non-PCI and PCI groups, and the health behaviors, blood pressure, and blood lipid levels were collected at the first hospital admission and re-admission. Collected data were analyzed using SPSS 24.0. As a result of the study, smoking and lipid levels were significantly healthier than the participants in PCI group during re-hospitalization. Non-PCI group had a high risk of smoking despite the high risk of coronary artery stenosis. It was found that continuous integrated management to promote health behavior is needed. The significance of this study was to identify the importance of health behavior in patients with the risk of cardiovascular disease.

• Journal of the Korean Geographical Society
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• v.48 no.2
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• pp.239-258
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• 2013

This study aims to examine that Jeollabuk-do 14 cities and counties's job creation policy would lead to a virtuous circle of the local economy through measuring the ratio of spatial mismatch. We suppose that the higher proportion of spatial mismatch in a city or county is, the lower multiplier effect contributes the local economy, especially in the income of residents and the influx of population. For the analysis, this study uses Korean Regional Employment Survey Micro-data and calculates the labor demand self-sufficiency(LDSS) rate of every local labor market for measuring the degree of spatial mismatch. Also we calculate the LDSS rate of employment status, industry, job classification and wage for testing the independency of local labor market. After analyzing, just Jeonju, Gunsan, Iksan, and Namwon could be regarded as independent local labor market where LDSS rates are above 75% in most criteria. But other local labor markets depend on outer labor supplies. For the development of regional economy, it is necessary to consider the creation of 'good jobs' that can induce the labor in parallel with the quantitative increase of employment.

• Journal of the Korean Institute of Gas
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• v.24 no.4
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• pp.62-72
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• 2020

This study presents a methodology of history matching to evaluate the productivity of shale gas reservoir with high reliability and predict future production rate in the Horn-River basin, Canada. Sensitivity analysis was performed to analyze the effect of physical properties of shale gas reservoir on productivity. Based on the results, reservoir properties were classified into 4 cases and history matching were performed considering the classified 4 cases as objective function. The blind test was conducted using additional field production data for 3 years after the history matching period. The error of gas production rate in Case 1(all reservoir parameters), Case 2(influenced parameters for productivity), Case 3(controllable parameters), and Case 4(uncontrollable parameters) were 7.67%, 7.13%, 17.54%, and 10.04%, respectively. This means that it seems to be effective to consider all reservoir parameters in early period for 4 years but Case 2 which considered influenced parameters for productivity shows the highest reliability in predicting future production. The estimated ultimate recovery (EUR) of production well predicted using the Case 2 model was estimated to be 17.24 Bcf by December 2030 and the recovery factor compared to original gas in place (OGIP) was 32.2%.

• Journal of Wetlands Research
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• v.12 no.1
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• pp.51-61
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• 2010

Changes in climate have largely increased concentrated heavy rainfall, which in turn is causing enormous damages to humans and properties. Therefore, it is important to understand the spatial-temporal features of rainfall. In this study, RADAR rainfall was used to calculate gridded areal rainfall which reflects the spatial-temporal variability. In addition, Kalman-filter method, a stochastical technique, was used to combine ground rainfall network with RADAR rainfall network to calculate areal rainfall. Thiessen polygon method, Inverse distance weighting method, and Kriging method were used for calculating areal rainfall, and the calculated data was compared with adjusted areal RADAR rainfall measured using the Kalman-filter method. The result showed that RADAR rainfall adjusted with Kalman-filter method well-reproduced the distribution of raw RADAR rainfall which has a similar spatial distribution as the actual rainfall distribution. The adjusted RADAR rainfall also showed a similar rainfall volume as the volume shown in rain gauge data. Anseong-Cheon basin was used as a study area and the RADAR rainfall adjusted with Kalman-filter method was applied in $Vflo^{TM}$ model, a physical-based distributed model, and ModClark model, a semi-distributed model. As a result, $Vflo^{TM}$ model simulated peak time and peak value similar to that of observed hydrograph. ModClark model showed good results for total runoff volume. However, for verifying the parameter, $Vflo^{TM}$ model showed better reproduction of observed hydrograph than ModClark model. These results confirmed that flood runoff simulation is applicable in domestic settings(in South Korea) if highly accurate areal rainfall is calculated by combining gauge rainfall and RADAR rainfall data and the simulation is performed in link to the distributed hydrological model.

• The Journal of the Korea Contents Association
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• v.17 no.5
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• pp.209-220
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• 2017

This study explores what are the factors which influence the perception of press professionalism and fairness of journalist in the process of their news production. This study focused on how the difference between mainstream media and online media, the political tendency and the degree of freedom during working effected on the judgement of the freedom of press based on the model of Shoemaker and Reese' hierarchical model. As a result, Research finding is as follows: First, online media journalist evaluated the fairness of press higher than offline media journalists. Second, the consistency of political tendency of offline media is different from online media. Online media journalists evaluated the fairness of the press higher than offline media journalists. Finally, the degree of freedom during performance is the most importance factor which affects the evaluation of press fairness. This study highlights the factors which influence the perception of journalists on the quality of the press based on the survey data which have conducted by Korean press foundation This study implicates how working environment is importance in journalist's writing as a journalist. The freedom of press is very important in the process of news production because the factors which influence the evaluation of the fairness and the professionalism of press reveals the quality of press.

• Proceedings of the Korea Water Resources Association Conference
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• 2016.05a
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• pp.74-74
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• 2016

복잡한 지형에서 컴퓨터를 이용한 물리적 기반 수치모의는 합리적인 시간내에 연산을 완료하기 위해 대개 큰 연산장비 들을 요구한다. 더욱이 모의되는 현상이 시간단계마다 갱신되어지는 동역학적 현상에 기반된 비정상상태일 때 연산성능은 고려되어지는 가장 중요한 주제가 될 수 있다. 연산 시간을 줄이기 위한 가장 널리 이용되는 전략중의 하나는 적절한 수의 프로세서를 이용하는 병렬 기법이다. 최근 들어 연산속도를 가속화하기 위해 다수의 코어를 이용한 OpenMP 와 MPI 기법들이 병렬해석기법으로 대두되었고 그래픽 연산장치를 이용한 병렬처리 해석기법도 소개되고 있다. 본 연구에서는 중앙연산장치를 이용한 병렬 해석기법을 이용하여 제내지 침수해석의 적용성을 검토하고 그 결과을 비교하였다. 본 연구를 위해 OpenMP 병렬기법을 이용하여 확산파 침수해석 프로그램의 원시코드를 재작성하여 가상 및 실제 유역에 적용하였다. 해석결과는 분산메모리 병렬해석 기법인 MPI를 도입한 모형의 결과와 비교되었다. OpenMP를 도입한 모형과 MPI를 도입한 경우 유량 및 수심의 경우 오차 허용 한계내에 수렴되어 만족되었으나 그러나 연산 속도의 경우 두 기법간의 자료의 저장 방법 차이로 인해 차이를 나타내었다. 가상 유역에 적용된 결과로 검토된 각 기법의 증속(speedup) 효과는 MPI의 경우 4 코어를 이용하였을 때 최고 2.62 배 정도에 도달하는 것으로 나타났다. OpenMP 를 적용한 경우 2.87 배 정도로 나타나 OpenMP 를 이용하였을 때 증속효과가 조금 더 뛰어났다. 이는 두 기법의 메모리 저장방식의 차이로 인해 자료의 전송량과 전송 시간이 적은 OpenMP 를 도입한 모형에서 MPI 모형 보다 상대적으로 뛰어난 결과를 나타내었다. 실제 유역의 적용을 위해 상대적으로 우수한 증속결과를 나타낸 OpenMP를 도입한 모형을 Malpasset 댐 붕괴 유역에 적용하였다. 적용된 요소의 수는 각각 45254, 11352 개로 비교적 많은 요소를 가진 하류지역에 적용하여 병렬효과를 극대화하고자 하였다. 적용결과 두 경우 모두 병렬 해석 기법을 도입한 모형에서 유속과 침수심 등은 순차적 모형과 동일한 값을 나타내었으나 증속효과로 인한 연산시간은 순차적 모형에서 8.57 배로 나타나 병렬 모형의 상대적으로 빠른 연산속도를 판단할 있었다. 위의 적용결과를 통해 계산 요소들이 많은 2 차원 해석의 경우 기존의 단일 코어를 이용한 순차적 해석은 장시간에 걸치 연산시간으로 인해 작업효율이 낮아지는 결과를 발생시킬 수 있으며 병렬 해석을 도입할 경우 주어진 컴퓨터 자원를 효율적으로 이용가능하여 합리적인 연산시간으로 연산결과를 얻는 것이 가능하여 반복적 통계 기법/Ensemble 해석 등을 이용한 종합적 해석이 좀 더 실용적으로 이루어 질 수 있을 것이라고 판단되었다.