• Journal of Internet Computing and Services
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• v.16 no.6
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• pp.97-107
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• 2015

Up until recently, Korea has ranked the first place in UN e-Government Survey for three consecutive years. In keeping with such accomplishment, the size of budget execution has been consistently growing in accordance with Korea's Government 3.0 policy and vision, leading to increase in big-sized informatization projects in the business. Especially in mission critical public sector's infrastructure where it affects many people, growing demand for establishing high-quality information system with new technologies being brought to attention in order to meet the complex needs of citizens. National defense information system, being one of representative domains examples in the concerned area, established high military competency by applying breakthrough technology. Network-oriented national defense knowledge informatization was set as the vision in order to implement core roles in making efficient national defense management; and effort has been made to materialize the vision by making advancement in national defense's information system and its informatization implementation system. This research studies new quality index relevant to test and evaluation (T&E)of informatization business in national defense which is the representative example of mission critical public sector's infrastructure. We studied international standards and guidelines, analyzed actual T&E cases, and applied them to the inspection items that are currently in use, complying with the e-government law (Act No. 12346, Official Announcement Date 2014. 1.28., Enforcement Date 2014. 7.29.) As a result of productivity analysis, based on hypothesis in which suggested model was applied to T&E of the national defense informatization business, we confirmed the possibility of enhancement in the T&E productivity by assessing reliability, expertise, and safety as evaluation factors.

• Journal of the Korean Society of Marine Environment & Safety
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• v.24 no.1
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• pp.43-55
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• 2018

The biggest change in the field of coastal ship safety control since the accident of passenger ship Sewol has been the introduction of the maritime safety supervisor system. With its introduction, the safety control system in coastal passenger ships was changed from consisting of operation managers and marine police to operation managers and a newly-introduced maritime safety supervisor. The safety control system for coastal cargo ships was also converted from relying on ship inspection officers to having a maritime safety supervisor and ship inspection officers. However some negative elements have surfaced due to confusion related to the scope of work in the coastal cargo shipping field. These have been caused by dividing the supervisory agency, a lack of work continuity given non-permanent public official status, low supervisor qualifications overlooking reality, and limitations of the order for improvement to secure seaworthiness. It is essential that the maritime safety supervisor system be solidified to reinforce coastal ship safety control. Therefore, systematic safety control in the coastal cargo shipping industry should be conducted by a single, integrated government agency, and the area covered by the order for improvement to secure seaworthiness should be extended. Also limitations of the supervisor recruitment system due to non-permanent public official status should be simultaneously improved. In addition, it is necessary to upgrade supervisor qualifications to require experience with surveyors of international class, ship captains, and chief engineers.

• 대한공업교육학회지
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• v.33 no.2
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• pp.1-25
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• 2008

In this study, theory of school consulting for founding the development strategy of industrial high school was explored, consulting model and performing technique model was suggested, case of consulting of industrial high school performed by the model and performing technique suggested. Up to now, research field of school consulting was instruction and supervision consulting mostly, there was not much school management consulting. In this paper, a school consulting model for industrial high school was developed, which was five step such as entry, diagnosis, action planning, action, and termination. A case of consulting for C technical high school applied by the consulting model suggested was analyzed, it will be used any other consulting project of industrial high school. According to the 5 step school consulting model, analysis of the present state of C technical high school, survey research, SWOT analysis, Issue Tree, school assesment were performed. In order to set up a development strategy for C technical high school, a table of problem and improvement based on issue tree was made, and then a Pay-Off Matrix was made out. Finally, a development plan of short and mid- and long-term for C technical high school was constructed.

• Korean Security Journal
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• no.44
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• pp.199-223
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• 2015

The purpose of this study is to find the development of the personal protection business plan based on the problem that guards are now aware of personal protection service. In order to achieve the objectives of this study, we analyzed the data after expert survey and interview conducted by seven experts engaged in personal protection services more than 15 years. The guard who perform personal protection service proposed a development plan of personal protection services as follows. First, the current education system for new employees' training is required to improve the educational program of 40 hours in subjects related to personal protection duties by reorganization Second, the personal protection service training for guards also appropriate to switch to 8-hour training program for three months through an educational organization controlled by country. Third, the personal protection guards should be proceeding the practical programs required in the field and quality education in the different section by competent and professional instructors. Fourth, it should be revised Regulating that on the site of collective civil petition including in Events related to events across the board in the security services law. Fifth, there needs to be a change of recognition between police and private security firms, and to be set up the organization for supervision of management by police and private security firms jointly. Sixth, there needs to be organized a subcommittee which is consisting of experts in each task on Korea Security Association, and founded Korea Personal Protection Association for development associated with the personal protection service and to protect the rights of personal protection guards.

• Journal of the Korea Society of Computer and Information
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• v.19 no.3
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• pp.73-85
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• 2014

As the importance of big data analysis increases to improve the competitiveness of a corporate, a unified big data project development methodology is required in order to study the problem of a corporate in a systematic way and evaluate the problem w.r.t. a business value after solving the problem. This paper propose Scientific Data Anslysis and Development methodology(SDAD) which are integrated methodology of software development and project management for easier application into a field project. SDAD consisits of 6 stages(problem definition stage, data preparation stage, model design stage, model development stage, result extraction stage, service development state), each stages has detailed processes(47) and productions(93). SDAD, furthermore, unified previous ISP, DW, SW development methodologies in terms of the data analysis and can easily interchange the productions with them. This paper, lastly, introduces a way to assign responsible persons for each process and provide communication procedures in RACI chart to improves the efficiency of the interaction among professionals from different subjects. SDAD is applied to a Bigdata project in Korea Employment Information Services institution and the result turned out to be acceptable when evaluated by the supervision.

• Culinary science and hospitality research
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• v.16 no.1
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• pp.92-103
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• 2010

This study aims at analyzing what influences the menu quality of Italian restaurants in major five star hotels in Seoul have on satisfaction and revisit intention. The survey was conducted from 20st June to 26th June, 2009. The statistical data of the analysis were completed using the SPSS 12.0 program, and frequency analysis, reliability analysis, factor analysis, multiple regression analysis were conducted. The results of this study were as follows. First, the most significant factor in selecting Italian restaurants was found foods taste, and the factor analysis with 45 variables of the menu quality of the Italian restaurants came up with menu factor, foods quality factor, and menu service factor. Second, among the menu quality of the Italian restaurants, menu contents and menu services were found to have a significant effect on satisfaction. Third, satisfaction was found to have a significantly positive effect on revisit intention. Fourth, menu contents were identified to have a significantly positive on revisit intention while food quality and menu services didn't have a positive one. Thus more studies should be focused on a variety of menu quality regarding Italian restaurants in the future. Based on these results, there must be continuous supervision over the menu of Italian restaurants.

• Journal of the Korea Society of Computer and Information
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• v.26 no.4
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• pp.93-103
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• 2021

Despite the efforts of financial authorities in conducting the direct management and supervision of collection agents and bond-collecting guideline, the illegal and unfair collection of debts still exist. To effectively prevent such illegal and unfair debt collection activities, we need a method for strengthening the monitoring of illegal collection activities even with little manpower using technologies such as unstructured data machine learning. In this study, we propose a classification model for illegal debt collection that combine machine learning such as Support Vector Machine (SVM) with a rule-based technique that obtains the collection transcript of loan companies and converts them into text data to identify illegal activities. Moreover, the study also compares how accurate identification was made in accordance with the machine learning algorithm. The study shows that a case of using the combination of the rule-based illegal rules and machine learning for classification has higher accuracy than the classification model of the previous study that applied only machine learning. This study is the first attempt to classify illegalities by combining rule-based illegal detection rules with machine learning. If further research will be conducted to improve the model's completeness, it will greatly contribute in preventing consumer damage from illegal debt collection activities.

• The Journal of the Convergence on Culture Technology
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• v.7 no.4
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• pp.1-7
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• 2021

The purpose of this study was to analyze the effect of household loan share on bank management soundness. The results of the empirical analysis are summarized as follows. First, as a result of estimating coefficient of the mortgage loan ratio shows a significant negative relationship with the BIS equity capital ratio of banks. In addition, it was found that the mortgage loan ratio had a significant positive (+) effect on Eunhae's BIS and equity capital ratio after the financial crisis. Second, as a result of the estimation coefficient of the mortgage ratio showed a significant positive (+) relationship with the NPL of the bank and below. In addition, it is estimated that the bank's secured loan ratio changed significantly before and after the financial crisis in the effect of banks' NPL and substandard-and-below loans. It is expected to make implication to financial policy and banking regulation and supervision. We believe that more efforts should be made to increase the soundness of household loans in preparation for risk factors that may arise from exogenous factors such as changes in the international financial environment and falling property prices.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.17 no.11
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• pp.285-293
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• 2016

In the paper, we propose a data transmission repeating system that allows data transmission for the effective supervision of cows grazing in the pasture. It is normal practice to divide the pasture into different areas for the purpose of distributing the grazing. However, this makes it difficult to supply electrical power and transmit data, because some of the pastures are far away from the office used for collecting data. To solve this problem, we developed a repeating system that can allow data transmission in the pasture using a solar charging system that consists of a 60W solar panel, 12V/100A battery and 6A solar controller for the power supply and a data transmission algorithm which extends the range of data transmission when using the proposed repeating system. We verified the performance of the repeating system by checking whether the data transmission is successful or not when transmitting from various test points when there is an obstacle between the receiver and repeating system. We also verified the solar charging system by measuring the battery voltage when the system is operated continuously for 31 days and whether the system can supply sufficient power when the weather is cloudy or rainy for a few days. Finally, we verified the performance of the repeating system and data transmission algorithm by conducting experiments in a pasture.

• Korean Journal of Remote Sensing
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• v.38 no.5_2
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• pp.669-683
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• 2022

The frequency and damage of forest fires have tended to increase over the past 20 years. In order to effectively respond to forest fires, information on forest fire damage should be well managed. However, information on the extent of forest fire damage is not well managed. This study attempted to present a method that extracting information on the area of forest fire in real time and quasi-real-time using visible infrared imaging radiometer suite (VIIRS) images. VIIRS data observing the Korean Peninsula were obtained and visualized at the time of the East Coast forest fire in March 2022. VIIRS images were classified without supervision using iterative self-organizing data analysis (ISODATA) algorithm. The results were reclassified using the relationship between the burned area and the location of the flame to extract the extent of forest fire. The final results were compared with verification and comparison data. As a result of the comparison, in the case of large forest fires, it was found that classifying and extracting VIIRS images was more accurate than estimating them through forest fire occurrence data. This method can be used to create spatial data for forest fire management. Furthermore, if this research method is automated, it is expected that daily forest fire damage monitoring based on VIIRS will be possible.