• Journal of Digital Convergence
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• v.11 no.5
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• pp.159-168
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• 2013

This study analyze the business efficiency of securities company based on the 2011 performance of 29 securities firms which engage in domestic investment brokerage by applying a combination model of BSC and DEA. And we evaluate business state focused on efficiency which is based on logical system of BSC as business innovation method. The analysis of result is that companies with high customer efficiency index appeared that business efficiency composite index tended to be higher and we identified that customer perspective have an important factor to calculate business efficiency composite index of korea security company. In addition, based on the results of the efficiency analysis we analyze correlation analysis between traditional financial ratio and business efficiency composite index. We confirmed that company of high business efficiency level in terms of BSC have a good record in terms of profitability. BSC-DEA combination model expect to be utilized in security industry sector as well as other industrial sectors as good business indicator to determine the business efficiency and to be used a model can be evaluated the integrated firm valuation of tangible and intangible assets.

• International Commerce and Information Review
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• v.13 no.3
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• pp.325-351
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• 2011

This paper is focused on problem in the law and system caused by the infringement of medical information and in the law and system indicate the solution. Interests in the medical service are increasing in internet environment as life quality of the people improves because of development in information and medical technology. The current main issues of the legislative system and the law improvement suggestion for telemedicine activation which is related to the ubiquitous health in which the medicine field and IT technology convergence appearance. In particular, South Korea in the privacy-related legislation should be amended. The reason, Medical information record contains a lot of patient's private secrets. Therefore, if privacy protection is not enough this could cause problem violate a patient's privacy. Thus we need consequently the maintenance of the health medical treatment field to suit a telemedicine environment of a law system. Specifically, this law enacted to protect medical treatment information and the technical security services with confidence and stability against security treats are necessary.

• The Journal of Society for e-Business Studies
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• v.25 no.1
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• pp.215-228
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• 2020

M&As are continuing to grow globally and are expected to increase in the future. With the fourth industrial revolution and the strengthening of neo-protection trade between countries, technology is cited as the core of national competitiveness, and the trend of M&A's increase, which is aimed at securing technology, is expected to continue. However, the risk of technology leakage, which is difficult to determine clearly illegally in the process of M&A, is still growing, and there is not enough prevention or response to this problem. the purpose of this paper was to divide the M&A process into seven stages and to ensure that important information of the enterprises during M&A between the countries and the domestic companies was not leaked unfairly, and each step analyzed the risk factors and causes of the leakage of important information in the M&A process and presented a risk-specific management plan for minimizing the leakage of important information based on the importance of the risk factors. Companies that pursue M&A in the future will reflect the M&A step-by-step risk and risk management measures derived based on case analysis and expert surveys. I hope to use risk management measures to help minimize unintentional leakage of important corporate information into the outside.

• The Journal of Society for e-Business Studies
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• v.26 no.3
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• pp.97-117
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• 2021

Predicting term deposit subscriptions is one of representative financial marketing in banks, and banks can build a prediction model using various customer information. In order to improve the classification accuracy for term deposit subscriptions, many studies have been conducted based on machine learning techniques. However, even if these models can achieve satisfactory performance, utilizing them is not an easy task in the industry when their decision-making process is not adequately explained. To address this issue, this paper proposes an explainable scheme for term deposit subscription forecasting. For this, we first construct several classification models using decision tree-based ensemble learning methods, which yield excellent performance in tabular data, such as random forest, gradient boosting machine (GBM), extreme gradient boosting (XGB), and light gradient boosting machine (LightGBM). We then analyze their classification performance in depth through 10-fold cross-validation. After that, we provide the rationale for interpreting the influence of customer information and the decision-making process by applying Shapley additive explanation (SHAP), an explainable artificial intelligence technique, to the best classification model. To verify the practicality and validity of our scheme, experiments were conducted with the bank marketing dataset provided by Kaggle; we applied the SHAP to the GBM and LightGBM models, respectively, according to different dataset configurations and then performed their analysis and visualization for explainable term deposit subscriptions.

• Informatization Policy
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• v.30 no.1
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• pp.41-66
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• 2023

This study aims to reveal the direction of municipal ordinances for smart cities, while focusing on 74 municipal ordinances from 72 municipal governments through topic modeling. As a result, the main keywords that show a high frequency belong to establishment and operations of the Smart City Committee. From the result of topic modeling Latent Dirichlet Allocation(LDA), it classifies municipal ordinances for smart cities into eight topics as follows: Topic 1(security for process of smart cities), Topic 2(promotion of smart city industry), Topic 3(composition of a smart city consultative body for local residents), Topic 4(support system for smart cities), Topic 5(management for personal information), Topic 6(use of smart city data), Topic 7(implementation for intelligent public administration), and Topic 8(smart city promotion). As for topic categorization by region, Topics 5, 6, and 8 which are mostly related to the practical operation of smart cities have a significant portion of municipal ordinances for smart cities in the Seoul metropolitan area. Then, Topics 2, 3, and 4 which are mostly related to the initial implementation of smart cities have a significant portion of municipal ordinances for smart cities in provincial areas.

• Journal of Convergence for Information Technology
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• v.10 no.7
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• pp.20-32
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• 2020

This study is to develop and provide a personal information protection framework that enables IoT service providers to safely and systematically operate personal information of IoT service subjects in the overall process of providing IoT devices and services. To this end, a framework for personal information framework was derived through literature survey, and FGI with experts, it was divided into three stages, each of three stages: IoT service provision process and IoT personal information processing process. The study conducted an e-mail survey of related experts using AHP techniques to determine the importance of the components of the selected personal information protection framework. As a result, in the IoT service provision process, the IoT product and service design and development stage (0.5413) is the most important, and in the IoT personal information processing process, personal information protection in the collection and retention of personal information (0.5098) is the most important. Therefore, based on this research, as the IoT service is spreading, it is expected that a safe personal information protection framework will be realized by preventing security threats and personal information infringement accidents.

• Journal of the Institute of Convergence Signal Processing
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• v.22 no.4
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• pp.179-184
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• 2021

Along with the development of the fourth industry, the public sector has increasingly paid more attention to search using drones and real-time monitoring, for various goals. The drones are used and researched to complete a variety of searching and monitoring missions, including search for missing persons, security, coastal patrol and monitoring, speed enforcement, highway and urban traffic monitoring, fire and wildfire monitoring, monitoring of illegal fishing in reservoirs and protest rally monitoring. Police stations, fire departments and military authorities, however, concentrate on the hardware part, so there are little research on efficient communication systems for the real-time monitoring of data collected from high-performance resolution and infrared thermal imagining cameras, and analysis programs suitable for special missions. In order to increase the efficiency of drones with the searching mission, this paper, therefore, attempts to propose an image analysis technique to increase the precision of search by producing image data suitable for searching missions, based on images obtained from drones and provide the foundation for improving relevant policies and establishing proper platforms, based on actual field cases and experiments.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.21 no.2
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• pp.19-24
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• 2020

The interest in renewable energy is increasing due to the depletion of fossil fuels. In particular, active research on wave power, which is highly predictable and abundant, is being conducted. The coaxial accelerator-type wave power generator used in this study was designed to improve the power generation efficiency by converting bidirectional linear motion into a rotational force. In an offshore engineering basin, waves were generated, and case tests were performed according to the wave period and wave height. The experimental results were verified by the theoretical method related to the frequency response, and the overall trend was confirmed to be consistent. These results are expected to be useful in estimating the power of wave generators and designing parameters to improve the efficiency of wave energy in the design stage before manufacturing. In addition, the manufacturer can predict the wave energy efficiency of wave generators, which can reduce the development time and cost by preventing trial and error processes.

• Journal of Digital Convergence
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• v.13 no.12
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• pp.151-160
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• 2015

As a lexical meaning, casino is defined as "a certified gambling house, equipped with recreational facilities such as dance and music, etc., where people play roulette or cards." Casinos started from 17th to 18th century for European nobility and their social meetings and established a casino industry framework in the United States in the 1930s. The success of the casino business leads to the increase of sales; it became very helpful for the local and national government revenues and also for the related incidental tasks. Casino operations include a variety of fields, such as general customer management, dealer game management, security, account management, currency exchange, re-exchange management, marketing management, comp management and placement management, etc. These operations should be organically connected to each other by information systems such as a groupware, ERP and Customer Relationship Management (CRM), etc. In addition, in order to effectively manage comprehensive entertainment service, including accommodation and tourism, it is necessary to develop an information system which supports casino business and collateral entertainment service, collects the data generated throughout the business and provides information about the situations of management. Thus, this study will propose a casino information system designed and implemented, considering these details.

• Journal of Digital Convergence
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• v.15 no.6
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• pp.71-82
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• 2017

Most banks in Myanmar have begun to provide their services via mobile phones. However, few studies investigated the factors that may help to set mobile services from a customer perspective. So, this study aims to propose and test a conceptual research model to predict the user's intention to use and actual use level of mobile banking service by combining UTAUT and DeLone-Mclean IS model. Data were collected from 206 citizens who had experienced mobile banking in various regions of Myanmar. The study found that performance expectancy, effort expectancy, information quality and service quality influence the user 's intention to adopt mobile banking services which directly affects the user's actual use of them. However, social influence, facilitating condition and system quality don't influence the user's intention. The study results contribute to meeting customer's needs and reducing customer risk in Myanmar's mobile banking industry, suggesting to seamlessly provide the necessary resources like technology improvements, organizational infrastructure and service centers. Another future study are required to include service's security and trust factors so that the service providers could gain their customers' reliability and trust.