• Journal of the Korea Institute of Information Security & Cryptology
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• v.22 no.6
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• pp.1393-1405
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• 2012

This study intends to help establishing guidelines on providing easier access to security status-related information about business and public institutions by interested parties such as investors and civic societies, and to push ahead with the compulsory execution of the information security disclosure. We suggest a draft for the information disclosure system by reviewing the existing disclosure systems and validate the draft by surveying experts. It is expected that the result of this study will be the basis for the adoption of the information security disclosure system and be used as a referential material in the establishment of the relevant policy.

• Journal of Distribution Science
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• v.23 no.1
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• pp.1-20
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• 2025

Purpose: This study investigates the relationship between organizational security culture and supply chain disruptions, and examines the mediating role of supply chain security practices in mitigating disruptions. Methodology: A quantitative approach was employed, surveying 350 managers from Ghana's manufacturing and service sectors. Structural Equation Modeling (SEM) analyzed the relationships between organizational security culture, supply chain security practices (information management security, facility management security, and human resource security), and supply chain disruptions. Results: The study reveals that a robust organizational security culture has a profound impact on supply chain security practices, resulting in a substantial reduction in supply chain disruptions. Specifically, facility management security and information management security emerge as critical mediators, significantly influencing this relationship. Conversely, human resource security does not have a statistically significant impact. Conclusion: This study contributes to the supply chain security management literature, highlighting the importance of organizational security culture in mitigating supply chain disruptions. The findings provide valuable insights for managers and policymakers seeking to enhance supply chain resilience in emerging economies. The study emphasizes the need to integrate organizational security culture and supply chain security practices. Managers should prioritize building a strong security culture, allocate resources for effective supply chain security practices, and promote employee awareness.

• Journal of Technology Innovation
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• v.24 no.4
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• pp.55-99
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• 2016

The paper investigates X-project, in which the public was invited to participate in a national R&D project, examines how X-project attracted the public's attention and involved them in a national R&D project, and discusses the significance and limitations of X-project. X-project was executed by a 12 citizen-led committee, financially supported by the Ministry of Science, ICT, and Future Planning, and backed by the Science and Technology Policy Institute. People raised 6,212 questions that reflected the severe needs they experienced in their daily lives through the online and offline platforms of X-project. In addition, the committee members, scholars, experts, government officials, and citizens gathered together to select the fifty most provocative and novel of the questions raised by the public, and invited public participation to answer the questions in innovative ways. 310 research teams including professional researchers from universities and institutes, high-school students, lay persons, and corporate workers applied for X-project, and 54 of these teams were finally selected to receive funding from the government. Through planning and conducting X-project, as well as interviewing and surveying the participants in X-project and non-participants, we found that there was an enormous social consensus on the necessity of public participatory national R&D projects. People asserted that science and technology should put a greater focus on solving social problems and satisfying public needs. We also confirmed that the public could take part in national R&D projects. Most of all, we found that the questions raised by the public were very challenging, novel, and complex, and thus researchers need break-through approaches to address them. It can be also argued that through experiencing the X-project citizens can regard themselves as ones who are not only recipients of the benefits of the development of science and technology, but also contributors of the development of them. We finally argue that there are some limitations to X-project in terms of how to provide diverse incentives that attract more participation, how to develop the process in which people got involved in the project in more easy ways, and how to create new ways for lay persons and professional researchers to cooperate in solving social problems.

• Journal of agricultural medicine and community health
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• v.27 no.1
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• pp.125-142
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• 2002

This study was carried out to purpose drawing up the efficient method of rural residents' health management, analyzing factors having influences on the behavioral intention and the behavior of hepatitis B vaccination of rural residents, using the theory of planned behavior(TPB). Surveying the first questionnaire about TPB to 439 people of rural adults over 40-year old who participated to hepatitis B examination program was made from March 14 to April 23 in 2001 at two primary health care posts in a city in Gyeongsangbuk-do and the second survey for hepatitis B vaccination was made to the last subjects of 332 people(75.6%) that had been proved as subjects of inoculation against the hepatitis B as the result of examination after two months of notification. In the behavioral intention rate of hepatitis B vaccination of the subjects within a month, 100%(the top) was 45.2%, 80-90%(the middle) was 21.1% and under 70%(the low) was 33.7%. In simple analysis, vaccination intention was related with significantly health security type and economic status(p<0.05). And vaccination intention was related with significantly all variables of attitude toward behavior and subjective norm, and economic power of utilizing medical facilities and perceived power variable of perceived behavioral control(p<0.01). The vaccination rate of the subjects within a month was 31.3%. In simple analysis, the vaccination rate was higher significantly in the lower the age was, the higher the educational level was(p<0.01), the larger the family was, and subjects having transport(p<0.05). And the vaccination rate was higher in the higher the economic power was and the higher the perceived ability was. As the results of making generalized logit analysis for behavioral intention, the more positive the subjective norm was, the higher was the score of the perceived behavioral control, the intention was higher significantly in the top class on a basis of the low class of behavioral intention. In multiple logistic regression analysis for vaccination(behavior) using intention and perceived behavioral control as dependent variables, it showed that perceived behavioral control variable only influenced significantly. The higher was the score of perceived behavioral control, it showed that they got the more vaccination(p<0.01). And even in the result having analyzed, adding the significant general characteristics variables in the simple analysis to the independent variable, the higher was the score of perceived behavioral control, it showed that they got vaccination more.

• Spatial Information Research
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• v.13 no.3 s.34
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• pp.195-209
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• 2005

Forest road has been an essential infrastructure for various forestry practices as well as for recreational use, disaster management, and local economics promotion. Since 1980s, extensive network of forest roads has been constructed as an national project in Korea. However, due to the minimal-budget of the project, accurate maps of forest road are not usually available. Although forest road map is a main thematic layer for the forest Geographic Information System (FGIS), its locational accuracy has not been sufficient for the practical applications and, therefore, the update of digital forest road maps is urgent. The objectives of this study is to compare ae methodology of generating and updating digital forest road maps from the aspects of the map accuracy and the efficiency of methods. Four mapping methods (GPS surveying, satellite imagery, ortho aerial photograph, and digital photogrammetry) were applied to generate the forest road maps over the study area of Mt. Oseo in Chungchungnam-do, which has a 35km forest roads distributed in national, public and private forests. The forest road Imp produced by digital photogrammetric method is the most accurate and comparable to GPS surveying although it required the greatest amount of labor time.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.32 no.5
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• pp.495-503
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• 2014

As the number of vehicles has been sharply increases, the significance of safety and effective operation issues in the parking lot is being emphasized, which takes a part of the transportation system. Recently, there have been several studies for the parking management by detecting moving object, however, recognizing numbers of fast-moving vehicles simultaneously in the picture is still a challenging problem. The parking lot in public area, or large-sized buildings has clear parking section, whereas the sensor system is configured to monitor a plurality of parking spaces. Therefore, by considering those parking lots, we suggested to develop the real-time parking availability information system by applying the real-time image processing techniques. with the help of template matching. Following the study, we wanted to provide the alternative method for parking management system through the reference template makers by recognizing movements of parked vehicles with the size and shape, regardless of direct detecting of driving movements. In addition, we evaluated the applicability and performances of the information system, presented in this study, and implemented a prototype system to simulate the parking statuses of each floor. In fat, it was possible to manage and analyze statistics about the total number of parking spaces and the number of vehicles parked through real-time video flames. We expected that the result of the study will be advanced, following the user-friendliness and cost reduction in operating parking management system and giving information by efficient analysis of parking situation.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.32 no.5
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• pp.443-450
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• 2014

To fulfill the recent increasement in the public and private demands for various spatial data, the central and local governments started to produce those data. The low-level land cover map has been produced since 2000, yet the production of high-level land covered map has started later in 2010, and recently, a few regions was completed recently. Although many studies have been carried to improve the quality of land that covered in the map, most of them have been focused on the low-level and mid-level classifications. For that reason, the study for high-level classification is still insufficient. Therefore, in this study, we suggested the automatic extraction of land readjustment for paddy land that updated in the mid-level land mapping. At the study, the RapidEye satellite images, which consider efficient to apply in the agricultural field, were used, and the high pass filtering emphasized the outline of paddy field. Also, the binary images of the paddy outlines were generated from the Otsu thresholding. The boundary information of paddy field was extracted from the image-to-map registrations and masking of paddy land cover. Lastly, the snapped edges were linked, as well as the linear features of paddy outlines were extracted by the regional Hough line extraction. The start and end points that were close to each other were linked to complete the paddy field outlines. In fact, the boundary of readjusted paddy fields was able to be extracted efficiently. We could conclude in that this study contributed to the automatic production of a high-level land cover map for paddy fields.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.35 no.6
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• pp.581-590
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• 2017

This study analyzes the effect of floating population, locational characteristics and spatial autocorrelation on foodservice sales using big data provided by the Seoul Institute. Although big data provided by public sector is growing recently, research difficulties are occurred due to the difference of aggregation units of data. In this study, the aggregation unit of a dependent variable, sales of foodservice is SKT unit but those of independent variables are various, which are provided as the aggregation unit of Korea National Statistical Office, administration dong unit and point. To overcome this problem, we convert all data to the SKT aggregation unit. The spatial error model, SEM is used for analysing spatial autocorrelation. Floating population, the number of nearby workers, and the area of aggregation unit effect positively on foodservice sales. In addition, the sales of Jung-gu, Yeongdeungpo-gu and Songpa-gu are less than that of Gangnam-gu. This study provides implications for further study by showing the usefulness and limitations of converting aggregation units of heterogeneous spatial data.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.32 no.1
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• pp.49-54
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• 2014

A digital map of 1/5,000 scale provides basic information to be utilized in various businesses, such as in land management, urban information system of a local government, navigation of private sectors and others. 1/5,000 digital map, which contains information of the entire land of South Korea, is performed as a national fundamental map, however, comparing to 1,000 digital map, it has some difficulties in terms of positional accuracy and attribute data for applying in urban areas. Also, since the paradigm of spatial information services has been changed, more accurate positional information and rich attribute information are required for the government businesses and private map services. Particularly, demands for the high precision spatial information based on large-scale digital map is increasing in facility managements due to rapid changes in urban areas and various spatial analyses. For those reasons, this study proposes how to apply and use precise spatial information based on 1/1,000 digital. Firstly, an analysis of legal system related to large-scale digital map and spatial information is conducted in the research. Afterwards, the ways are suggested to improve systematical utilizations of 1/1,000 digital map. We also define existing applications of spatial information in public and private sector, and recommend methodology that can be utilized high precision spatial information.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.29 no.2
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• pp.133-139
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• 2011

Estimation of biomass carbon stock is an important research for estimation of public benefit of forest. Previous studies about biomass carbon stock estimation have limitations, which come from the used deterministic models. The most serious problem of deterministic models is that deterministic models do not provide any explanation about the relevant effects of errors. In this study, the effects of location errors were analyzed in order to estimation of biomass carbon stock of Danyang area using Monte Carlo simulation method. More specifically, the k-Nearest Neighbor(kNN) algorithm was used for basic estimation. In this procedure, random and systematic errors were added on the location of Sample plot, and effects on estimation error were analyzed by checking the changes of RMSE. As a result of random error simulation, mean RMSE of estimation was increased from 24.8 tonC/ha to 26 tonC/ha when 0.5~1 pixel location errors were added. However, mean RMSE was converged after the location errors were added 0.8 pixel, because of characteristic of study site. In case of the systematic error simulation, any significant trends of RMSE were not detected in the test data.