• Korean Security Journal
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• no.44
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• pp.85-116
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• 2015

Found in 23 Dec 1953 to cope with illegal fishing of foreign ships and coastal guard duty, Korea Coast Guard was re-organized as an office under Ministry of Public Safety since the outbreak of sinking of passenger ship "Sewolho". In the course of re-organization, intelligence and investigation duty were transferred to Police Department except "Cases happened on the sea". But the definition of intelligence duty is vague and there are lots of disputes over the jurisdiction and range of activities. With this situation in consideration, the object of this study is to analyse legal and institutional characteristic of KCG Intelligence, to compare them to that of Police Department, foreign agencies like Japan Coast Guard and US Coast Guard, to expose the limit and to suggest solution. To summarize the conclusion, firstly, in the legal side, there is no legal basis on intelligence in [The Government Organization Act], no regulation for mission, weak basis in application act. Secondly, in the institutional side, stated in the minor chapter of [The Government Organization Act], 'the cases happened on sea' is a quite vague definition, while guard, safety, maritime pollution duty falls under 'on the sea' category, intelligence fell to 'Cases happened on the sea' causing coast guard duty and intelligence have different range. In addition, reduced organization and it's manpower led to ineffective intelligence activities. In the case of Police Department, there is definite lines on 'administration concerning public security' in [The Government Organization Act], specified the range of intelligence activities as 'collect, make and distribute information concerning public security' which made the range of main duty and intelligence identical. Japanese and US coast guards also have intelligence branch and performing activities appropriate for the main missions of the organizations. To have superiority in the regional sea, neighboring countries Japan and China are strengthening on maritime power, China has launched new coast guard bureau, Japan has given the coast guard officers to have police authority in the regional islands, and to support the objectives, specialized intelligence is organized and under development. To secure maritime sovereignty and enhance mission capability in maritime safety duty, it is strongly recommended that the KCG intelligence should have concrete legal basis, strengthen the organization and mission, reinforce manpower, and ensure specialized training administrative system.

• Journal of the Korean Association of Geographic Information Studies
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• v.13 no.3
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• pp.14-28
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• 2010

The aim of this study is to investigate crime hotspot areas using the spatio-temporal cluster analysis which is possible to search simultaneously time range as well as space range as an alternative method of existing hotspot analysis only identifying crime occurrence distribution patterns in urban area. As for research method, first, crime data were collected from criminal registers provided by official police authority in M city, Gyeongnam and crime occurrence patterns were drafted on a map by using Geographic Information Systems(GIS). Second, by utilizing Ripley K-function and Space-Time Scan Statistics analysis, the spatio-temporal distribution of crime was examined. The results showed that the risk of crime was significantly clustered at relatively few places and the spatio-temporal clustered areas of crime were different from those predicted by existing spatial hotspot analysis such as kernel density analysis and k-means clustering analysis. Finally, it is expected that the results of this study can be not only utilized as a valuable reference data for establishing urban planning and crime prevention through environmental design(CPTED), but also made available for the allocation of police resources and the improvement of public security services.

• Journal of Korean Society for Geospatial Information Science
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• v.19 no.2
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• pp.3-8
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• 2011

Recently, the demand for enterprise for service map providing and portal site services of a 3D virtual city model for public users has been expanding. Also, accuracy of the data, transfer rate and the update for the update for the lapse of time emerge are considered as more impertant factors, by providing 3D information with the web or mobile devices. With the latest technology, we have seen various 3D data through the web. With the VRML progressing actively, because it can provide a virtual display of the world and all aspects of interaction with web. It offers installation of simple plug-in without extra cost on the web. LiDAR system can obtain spatial data easily and accurately, as supprted by numerous researches and applications. However, in general, LiDAR data is obtained in the form of an irregular point cloud. So, in case of using data without converting, high processor is needed for presenting 2D forms from point data composed of 3D data and the data increase. This study expresses urban LiDAR data in 3D, 2D raster data that was applied by compressing algorithm that was used for solving the problems of large storage space and processing. For expressing 3D, algorithm that converts compressed LiDAR data into code Suited to VRML was made. Finally, urban area was expressed in 3D with expressing ground and feature separately.

• Journal of the Korea Convergence Society
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• v.8 no.3
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• pp.163-168
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• 2017

This study empirically examines the differences in attitude and memory effect according to the product knowledge (high knowledge / low knowledge) and temporal distance (near future / far future) in the new product preannouncing strategy of companies through Facebook Respectively. Experiments were conducted by inserting the experiment into a virtual web browser using Facebook 's actual brand fan page and then connecting the experiment to the experimental banner site. As a result of research, when preannouncing new products are released in the near future, low knowledge consumers have made judgments of purchasing decisions because GRM judgments are more favorable than property information (ARM) judgments, but preannouncing is a new product At the time of launch, highly-knowledgeable consumers had a positive effect on the property information (ARM) judgment of the product rather than the comprehensive information (GRM) judgment. In addition, when preannouncing was introduced in the near future, the attitudes of the products between the low-knowledge consumers and the high-knowledge consumers were all positive, but when the new products were launched in the distant future, Product attitude was negative.

• Journal of Korean Philosophical Society
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• v.126
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• pp.213-233
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• 2013

The aim of this paper is to reveal the ethical problem of insider trading. 'Insider trading' refer to obtaining information from non-public sources such as private acquaintances about trade secret, using it purposes of enhancing insider's financial advantages. And sometimes such a practice can be conducted fraudulently. Therefore, the focus of this paper will be on fairness or justice arguments against insider trading. And all kinds of discussion this paper are to focus the underlying consideration behind these arguments, that is, the underlying consideration about violation of ethical standards of fairness. First, one of these arguments argues that insider trading does necessarily involve defrauding general investors such as general employees, general stockholders. And economic power and unjust advantage of insider can be exercised to the detriment of this non-insider's interests. Second, another argument argues that insider trading undermines competition which is the principle of any free market. And insider trading is not only a complication in the free market mechanism, but also thwarts free competition which free markets depend. Third, the final argument argues that insider trading will be made something unfair about the concept of equal access to information. This argument argues, therefore, that to permit insider trading would be to set up stock market trading rules that are unfair to non-insiders.

• Journal of Korea Entertainment Industry Association
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• v.14 no.3
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• pp.139-148
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• 2020

Through this study, the policy proposals were intended to be presented to the head of the farming policy. Therefore, the meaning of this study is as follows. First, rather than judging the returning farmer on his own, he should provide sufficient information to consult with his family and increase access to agriculture. Second, by opening up SNS and YouTube to returning farmers, they should instill confidence in rural areas by providing them with information about the joy of rural life and the success of farming so that they can easily access information about rural life through villages, youth associations and women's associations. Efforts should be made to create vibrant rural areas by providing infrastructure around farmland, providing various amenities for settling young people and forming a family farmers' association. Third, the head of the return farming policy should come up with customized support policies for the return farming (e.g., one-year farm support, free farm support, institutional sales guarantee, tourism in advanced countries, modernization of farmland facilities). Public relations strategies should also be strengthened so that such policies can lead to agriculture. Finally, the government should provide subsidized economic activities (e.g. Airbnb, donation of expertise and work-related personnel before returning home, rural experience, etc.).

• Journal of Intelligence and Information Systems
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• v.23 no.2
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• pp.39-70
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• 2017

Data-drive analytics techniques have been recently applied to public surveys. Instead of simply gathering survey results or expert opinions to research the preference for a recently launched product, enterprises need a way to collect and analyze various types of online data and then accurately figure out customer preferences. In the main concept of existing data-based survey methods, the sentiment lexicon for a particular domain is first constructed by domain experts who usually judge the positive, neutral, or negative meanings of the frequently used words from the collected text documents. In order to research the preference for a particular product, the existing approach collects (1) review posts, which are related to the product, from several product review web sites; (2) extracts sentences (or phrases) in the collection after the pre-processing step such as stemming and removal of stop words is performed; (3) classifies the polarity (either positive or negative sense) of each sentence (or phrase) based on the sentiment lexicon; and (4) estimates the positive and negative ratios of the product by dividing the total numbers of the positive and negative sentences (or phrases) by the total number of the sentences (or phrases) in the collection. Furthermore, the existing approach automatically finds important sentences (or phrases) including the positive and negative meaning to/against the product. As a motivated example, given a product like Sonata made by Hyundai Motors, customers often want to see the summary note including what positive points are in the 'car design' aspect as well as what negative points are in thesame aspect. They also want to gain more useful information regarding other aspects such as 'car quality', 'car performance', and 'car service.' Such an information will enable customers to make good choice when they attempt to purchase brand-new vehicles. In addition, automobile makers will be able to figure out the preference and positive/negative points for new models on market. In the near future, the weak points of the models will be improved by the sentiment analysis. For this, the existing approach computes the sentiment score of each sentence (or phrase) and then selects top-k sentences (or phrases) with the highest positive and negative scores. However, the existing approach has several shortcomings and is limited to apply to real applications. The main disadvantages of the existing approach is as follows: (1) The main aspects (e.g., car design, quality, performance, and service) to a product (e.g., Hyundai Sonata) are not considered. Through the sentiment analysis without considering aspects, as a result, the summary note including the positive and negative ratios of the product and top-k sentences (or phrases) with the highest sentiment scores in the entire corpus is just reported to customers and car makers. This approach is not enough and main aspects of the target product need to be considered in the sentiment analysis. (2) In general, since the same word has different meanings across different domains, the sentiment lexicon which is proper to each domain needs to be constructed. The efficient way to construct the sentiment lexicon per domain is required because the sentiment lexicon construction is labor intensive and time consuming. To address the above problems, in this article, we propose a novel product reputation mining algorithm that (1) extracts topics hidden in review documents written by customers; (2) mines main aspects based on the extracted topics; (3) measures the positive and negative ratios of the product using the aspects; and (4) presents the digest in which a few important sentences with the positive and negative meanings are listed in each aspect. Unlike the existing approach, using hidden topics makes experts construct the sentimental lexicon easily and quickly. Furthermore, reinforcing topic semantics, we can improve the accuracy of the product reputation mining algorithms more largely than that of the existing approach. In the experiments, we collected large review documents to the domestic vehicles such as K5, SM5, and Avante; measured the positive and negative ratios of the three cars; showed top-k positive and negative summaries per aspect; and conducted statistical analysis. Our experimental results clearly show the effectiveness of the proposed method, compared with the existing method.

• Journal of the Korean Society of School Health
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• v.13 no.2
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• pp.331-340
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• 2000

Primary school is regarded as an important period when many health-related behaviors and life-styles begin to be formed. Acquiring them through school heath education has a strong influence on the health promotion of not only the family but also the community. The objectives of this study were to evaluate current oral health care of elementary schools in Chungnam province and to provide information for further development in elementary school oral health. We performed a questionnaire survey to 280 health teachers and among them, 155 teachers answered. The result of this study were as follows: 1. Sixty five percent of the health teachers had little interest in oral health. Major information sources for teaching oral health were books in 58.1% of the 155 teachers and 83.2% of teachers spent 30 minutes to 1hour per day in oral health care practice for the students. 2. Contents of the oral health education were composed of regular and special curriculums, and an average of education time during a semester was 2.6 hours in 3rd grade, and 1.3 hours in first and second grade. 60.6% of the teachers made the children practice the proper method of tooth brushing during the education time. 3. Major problems in oral health education were insufficient time, lack of equipment and difficulty in teaching method. The educational media were tooth models among 91.0% and OHP among 85.2% of the teachers. The tooth model was usually used in first to fourth grades and OHP in fifth to sixth grades. But 63.9% health teachers need to develop stronger educational methods using multimedia. 4. Meanwhile the most important strategy of oral health in urban schools was health education, that of rural schools was fluoride mouth-rinsing programme. Fluoride mouth-rinsing programmes were performed by 60.0% of the elementary school. Periodic dental examination was performed in all elementary schools. 98.2% of the schools sent the results home through school notification letters, but post-examination management was performed in only 67.1% of them 64.5% of the health teachers do follow-ups on the oral disease of the children after the examination. Only 0.7% of the schools have oral health education plans for the students' parents. Considering these major strategies for elementary school oral health care were health education, practicing proper methods of tooth brushing, periodic dental examinations, and fluoride mouth-rinsing programmes. But health teachers need more time for oral health education, practicing and management, and developing education materials. With regard to the high demand for oral health education and poor follow-up after periodic examination, the oral health education in elementary school should be considered as a formal educational course for more proper management of oral health, including application of major strategies to the children in earlier grades and efforts for increasing recognition and participation of the parents.

• Journal of the Korean Geographical Society
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• v.43 no.6
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• pp.961-980
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• 2008

It is usual to prioritize the blocks to rearrange residential environment by the responsible officer's intuition or a few specialist's experienced knowledge. The aim of this research was to evaluate rebuilding priority in the context of spatially weighted framework integrating resident's view. The spatial weighting for the variables related to evaluation of dwelling environment was derived from AHP (Analytic Hierarchy Process) approach through the analysis of resident's view. An empirical study for a case study site has been conducted to confirm the validity for the spatial weighting. The spatial weighting has frequently influenced in changing the rebuilding priority and was identified as the important predictor for the improvement sites of dwelling environment. The spatially weighted analysis made it possible to identify area-wide patterns of rebuilding priority area subject to many different type of thematic variables, which cannot be acquired by traditional field sampling. The spatially weighting derived by integrating various formats of spatial data into a comprehensive GIS database in particular, was ideally suited to displaying the objective distribution patterns for rebuilding priority. The result of this study would play a crucial role in dealing with public complaints for rebuilding priority since it could provide objective evidences in accordance with spatial weighting.

• Korea Journal of Hospital Management
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• v.11 no.3
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• pp.19-41
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• 2006

The Objective of this study was to design the model which predict the future cash flow of hospitals and on the basis of designed model to support sound hospital management by the prediction of future cash flow. The five cash flow measurement variables discussed in financial accrual part were used as variables and these variables were defined as NI, NIDPR, CFO, CFAI, CC. To measure the cash flow B/S related variables, P/L related variables and financial ratio related variables were utilized in this study. To measure cash flow models were designed and to estimate the prediction ability of five cash flow models, the martingale model and the market model were utilized. To estimate relative prediction outcome of cash flow prediction model and simple market model, MAE and MER were used to compare and analyze relative prediction ability of the cash flow model and the market model and to prove superiority of the model of the cash flow prediction model, 32 Regional Public Hospital's cross-section data and 4 year time series data were combined and pooled cross-sectional time series regression model was used for GLS-analysis. To analyze this data, Firstly, each cash flow prediction model, martingale model and market model were made and MAE and MER were estimated. Secondly difference-test was conducted to find the difference between MAE and MER of cash flow prediction model. Thirdly after ranking by size the prediction of cash flow model, martingale model and market model, Friedman-test was evaluated to find prediction ability. The results of this study were as follows: when t-test was conducted to find prediction ability among each model, the error of prediction of cash flow model was smaller than that of martingale and market model, and the difference of prediction error cash flow was significant, so cash flow model was analyzed as excellent compare with other models. This research results can be considered conductive in that present the suitable prediction model of future cash flow to the hospital. This research can provide valuable information in policy-making of hospital's policy decision. This research provide effects as follows; (1) the research is useful to estimate the benefit of hospital, solvency and capital supply ability for substitution of fixed equipment. (2) the research is useful to estimate hospital's liqudity, solvency and financial ability. (3) the research is useful to estimate evaluation ability in hospital management. Furthermore, the research should be continued by sampling all hospitals and constructed advanced cash flow model in dimension, established type and continued by studying unified model which is related each cash flow model.