• Journal of Digital Convergence
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• v.19 no.7
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• pp.113-127
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• 2021

This study classifies review attributes into ratings, number of comments and image information in online shopping mall to verify their impact on brand attitude and purchase decision and e-WOM intention. Use SPSS 23.0 for frequency analysis, factor analysis and regression analysis. The results showed that review attributes have a positive effect on brand attitudes, purchase decision and e-WOM intention, but the number of comments has not affect on purchase decision. Brand attitude has a positive effect on purchase decision and e-WOM intention. Brand attitude has media effect in the relationship between ratings, image information and purchase decision, and in the relationship between review attributes and e-WOM intention. As these results, consumers don't always like to have a lot of comments. and should allow to focus on high ratings and photo reviews as much as possible when writing reviews.

• Journal of the Korean Society of Safety
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• v.36 no.2
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• pp.39-48
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• 2021

This study was conducted to suggest a direction in which safety managers can concentrate on industrial accident prevention and safety management for the organization. The job resources of safety managers were divided into organizational and individual levels, and the magnitude of the impact on organizational commitment was compared. Furthermore, job demands were classified into environmental risk factors and personal psychological factors to confirm their effect on organizational commitment. The moderating effect of job resources and sub-factors of the variable in the relationship between job demands and organizational commitment was verified. In this study, a questionnaire survey was conducted on 193 safety managers in the domestic electric construction business, data were collected, and a questionnaire of 180 people was used for the final analysis. Based on the results, organization-level resources among the sub-factors of job resources and individual psychological factors among the sub-factors of job demand had a more significant influence on organizational commitment. In the relationship between job resources and organizational commitment, the moderating effect of job demand was verified, confirming that job demand had a negative moderating effect. Individual psychological factors had a modulating effect, whereas environmental factors did not. The significance, implications, and limitations of this study are discussed based on the research results.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.44 no.1
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• pp.60-70
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• 2021

Recently, with the development of technologies for the fourth industrial revolution, convergence and complex technology are being applied to aircraft, electronic home appliances and mobile devices, and the number of parts used is increasing. Increasing the number of parts and the application of convergence technologies such as HW (hardware) and SW (software) are increasing the No Defect Found (NDF) phenomenon in which the defect is not reproduced or the cause of the defect cannot be identified in the subsequent investigation systems after the discovery of the defect in the product. The NDF phenomenon is a major problem when dealing with complex technical systems, and its consequences may be manifested in decreased safety and dependability and increased life cycle costs. Until now, NDF-related prior studies have been mainly focused on the NDF cost estimation, the cause and impact analysis of NDF in qualitative terms. And there have been no specific methodologies or examples of a working-level perspective to reduce NDF. The purpose of this study is to present a practical methodology for reducing NDF phenomena through data mining methods using quantitative data accumulated in the enterprise. In this study, we performed a cluster analysis using market defects and design-related variables of mobile devices. And then, by analyzing the characteristics of groups with high NDF ratios, we presented improvement directions in terms of design and after service policies. This is significant in solving NDF problems from a practical perspective in the company.

• Journal of the Korea Society of Computer and Information
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• v.25 no.12
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• pp.315-320
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• 2020

The purpose of this study is to analyze and interpret the current situation of private security companies·guards for the past three years, security companies by size, general·special (new education), and qualification system provided by the Police Agency, Security Association, etc. It provides a theoretical foundation for private security and provides a new perspective for interpreting private security. As a result, through the current situation, this private security has a concentration of metropolitan area and facility security, an abnormal personal protection company contrast, the number of personal protection institutes, there is a special security shift to regular jobs, and the current continuous education On the other hand, the education of special security guards has been shown to be limited. In the qualification system, the utilization of security instructor qualifications and the utilization and public relations of personal probation officer qualifications will appear. The current state of typical private security is as follows. The first is the balanced development of private security and the clarity of business divisions. Second, the quality of private security education and educational institutions must be high. Third is the recognition of the qualification system and active public relations.

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
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• v.14 no.4
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• pp.307-313
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• 2021

Most of the stores of small business owners are those that use a large number of electrical devices, and in particular, there are many stores that use a cold storage system. In severe cases, there is a lot of power load on the store, which can cause a loss to the assets in the store as the power supply is cut off. Accordingly, in this paper, an LSTM-based power load prediction system was designed to measure the energy demand rate of stores and to save energy. Since it can be used as a data-based power saving system for small and medium-sized stores, it is expected to be used as a data-based power demand prediction system for small businesses in the future, and to be used in the field of preventing damage due to power load.

• Journal of the Korean Society of Industry Convergence
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• v.24 no.6_2
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• pp.699-706
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• 2021

Existing license plate recognition system is used as an optical character recognition method, but a method of using deep learning has been proposed in recent studies because it has problems with image quality and Korean misrecognition. This requires a lot of data collection, but the collection of license plates is not easy to collect due to the problem of the Personal Information Protection Act, and labeling work to designate the location of individual license plates is required, but it also requires a lot of time. Therefore, in this paper, to solve this problem, five types of license plates were created using a virtual Korean license plate generation program according to the notice of the Ministry of Land, Infrastructure and Transport. And the generated license plate is synthesized in the license plate part of collectable vehicle images to construct 10,147 learning data to be used in deep learning. The learning data classifies license plates, Korean, and numbers into individual classes and learn using YOLOv5. Since the proposed method recognizes letters and numbers individually, if the font does not change, it can be recognized even if the license plate standard changes or the number of characters increases. As a result of the experiment, an accuracy of 96.82% was obtained, and it can be applied not only to the learned license plate but also to new types of license plates such as new license plates and eco-friendly license plates.

• Journal of Digital Convergence
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• v.19 no.7
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• pp.175-188
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• 2021

The purpose of this study is to verify the effect of dental service quality on satisfaction in Shanghai and the mediated effect of perceived value. To this end, we conducted an electronic survey of dental patients in Shanghai, China, and retrieved 345 copies of the effective sample, using SPSS 26.0 for the purpose of the study. To summarize the results: First, all factors of service quality have had a positive impact on satisfaction and perceived value. Second, perceived values have a positive effect on satisfaction. Third, perceived values have been analyzed to have a partial mediated effect in the relationship between service quality and satisfaction, and research on dental users in China and Korea has shown almost similar results. It shows that high-quality dental services are essential to enhancing management capabilities.

• Journal of Korean Society of Archives and Records Management
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• v.21 no.4
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• pp.81-99
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• 2021

Job and organization analysis of producing institutes is a task that identifies the history of transition and major business functions for various record-producing institutions and must be performed in common within the archives, and many workers must jointly refer to the relevant knowledge. However, in the field, a limited number of people in charge are individually performing by manual work, and the results are not shared. Therefore, this study aims to reduce the work burden of workers through the automation of the job and organization analysis process and build basic resources that can be commonly used by the archives. This study subdivided the task of job and organization analysis into manual, semi-automation, and automation parts by performing FGI with the practitioner of the archive and suggested ways to realize it. In addition, we derive the basic analysis data that can be commonly referenced in the electronic records management process, and by verifying the results through practitioners, efficient use of knowledge resources is suggested. Furthermore, by establishing a standardized work process, we intend to lay the foundation to support consistent and systematic work performance.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.22 no.1
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• pp.181-186
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• 2022

The world's electric automobile sector has shifted beyond technological environmental changes to a stage that has an impact on the market environment. And automakers are shifting from the existing strategy of "technological advantage → brand enhancement → sales expansion of existing internal combustion engine vehicles" to the expansion of the electric automobile market itself, which is to enhance market competitiveness. In addition, competition in the electric automotive parts market is expected to intensify due to the expansion of the business areas of existing parts makers and the entry of new companies, and development cooperation is expected to actively proceed to improve the efficiency of major eco-friendly parts. Along with this prospect, electric vehicles are expected to change the overall structure of the automobile industry, the overall growth of the electric vehicle value chain such as batteries, power trains (motors, power management and control systems), electric vehicle production, and charging infrastructure Is expected. Therefore, in this thesis, in order to cultivate a variety of high-quality human resources that companies want to keep pace with the changing automobile industry, we study a professional manpower training program that leads the growth engine of the electric automobile industry.

• Journal of Korea Entertainment Industry Association
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• v.13 no.4
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• pp.63-70
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• 2019

We extract the symptom of panic disorder from the context awareness environment. It extracts body context information through natural movement that exists in everyday life and uses a component of panic disorder. The ontology theory can be used to provide information on the degree of symptoms of panic disorder through inference process. For the components of panic disorder to the information processing based on ontology are defined as Classes. Panic disorder index is expressed through ontology modeling so that the condition of panic disorder can be known. The derivation of panic disorder component and panic disorder index will enable context awareness based information service for panic disorder. The context information is periodically synchronized with the context awareness on based device. Panic disorder can be used to improve the lifestyle of panic disorder.