• Journal of Korean Society of Industrial and Systems Engineering
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• v.28 no.4
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• pp.109-115
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• 2005

In the study, Methods for operating measures in equipment security to find out dangerousness timely in the system and to need for the prevention and measures. The method for analyzing and reconstructing the causes of accident of equipment in site, and try to save the information of site in real-time and to analyze the state of equipment to look for the factors of accidents. By this analysis, one plan for efficiency of production, Equipment Fault Diagnosis Management and security is integrating and building module of using the Fuzzy Inference based on fuzzy theory. The case study is applied to the industrial electric motors that are necessarily used to all manufacturing equipment. Using the sensor for temperature is attached to gain the site information in real time and to design the hardware module for signal processing. In software, realize the system supervising and automatically saving to management data base by the algorithm based in fuzzy theory from the existing manual input system

• 한국디지털정책학회:학술대회논문집
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• 2005.11a
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• pp.323-335
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• 2005

Globalization of economy brings both opportunities and threats especially for companies in developing countries such as Korea. Globalization is an opportunity because it may expand the size of market for the company where globalization brings a threat for developing global competitiveness. If the company has already built competitive advantage in its business domain, the company can easily transfer market growth to profit improvement. However, if the company has not developed competitive advantage, globalization of economy will give a serious threat for the survivor of the company. The company might lose its own domestic market share. For the less famous brand of product or company name, international expansion is a challenging strategy. The study evaluated organizational performance of companies that try international expansion by utilizing Miles and Snow's strategy typology. We clustered organizations based on their strategy typology (prospector, analyzer, defender, and reactor) in view of the level of product diversification, new product development instances, level of localization, and autonomy of foreign subsidiary. With the strategy typology, we evaluated international strategy in view of product competitiveness, marketing strategy, human resource strategy, and organizational strategy. The regression result demonstrates that the performance of the company is significantly higher when the company employs prospector strategy. We also found out that product quality and emphasis for developed countries in international expansion are the most important factors for success.

• Journal of the Korean Solar Energy Society
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• v.29 no.3
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• pp.66-72
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• 2009

As 'Low Carbon Green Building' is highly required, programs to evaluate building performance are actively and commonly used. For most of these programs, dynamic responses of buildings against external weather changes are very important. In order to simulate the programs, weather data of each region must be properly entered to estimate accurate amount of building energy consumption. To this end, the existing weather data and weather data of KSES were compared and analyzed to find out how weather changes. Energy load of Korea's standard houses was also analyzed based on this data. As a result, data corresponding to June ${\sim}$ September when cooling is supplied shows 23% of average increase with 30% of peak increase(June). On the other hand, data corresponding to November ${\sim}$ February when heating is supplied shows 29% of average decrease with 34% of peak decrease(November). Increase in cooling load and decrease in heating load in the above data comparison/analysis show that KSES 2009 data reflects increase in average temperature caused by global warming unlike the existing data. Increase in dry-bulb temperature depending on weather change of standard houses increases cooling load by 17% and decreases heating load by 36%

• Journal of Korea Society of Digital Industry and Information Management
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• v.5 no.4
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• pp.263-272
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• 2009

Nowadays, lots of software that have similar functions is being produced. Hence it is getting more important to select the best and suitable software for each individual or company. Moreover, there are few trustworthy materials regarding to the objective procedure and criteria for the best evaluation of the software quality. To overcome these problems, benchmarking has been carried out. However, benchmarking is also confronting the limit of quality evaluation verification due to the difficult of the objectification of the major test items. To solve these problems, some others try to evaluate the quality of software using objective criteria of evaluation based on ISO/IEC standards. Nevertheless, this method using these defined evaluation items and criteria may result in not very reliable outcome. Therefore, this paper offers the evaluation items reflected in the characteristics of each software in order to prove the validity of the proposed method. Moreover, the objective and quantitative criterion which analyzes and reflects the organization characteristics using AHP methodology is applied to the experiment and performance evaluation. Hence we expect that the proposed method provides the needs of the re-establishment of software quality evaluation criteria and the improvement of process in terms of management.

• Journal of Korea Society of Digital Industry and Information Management
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• v.15 no.4
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• pp.41-49
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• 2019

Patents are system to promote the development of industry by disclosing technology. The importance of recent patent is being emphasized. For this reason, companies apply for many patents. And they analyze the patent. Patent analysis helps to protect and foster their technology. Previously this method has been carried out by experts. Expert-based patent analysis, however, has the disadvantage of being time-consuming and expensive. Consequently, we try to solve this problems by developing prediction model. Therefore, this paper proposes a data-based patent analysis method using quantitative indicator and textual information. We confirmed the practical applicability of the proposed method through 1,831 autonomous vehicle patents. As a result, it was possible to confirmed that safety and lane detection related technologies are important.

• Journal of the Korea Safety Management & Science
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• v.19 no.3
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• pp.109-115
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• 2017

In order to increase the productivity of the logistics center and transportation, we try to articulate the priority ranking factors of the productivity influenced by the personality of the field workers (logistics center workers) and functional workers (drivers) via the AHP technique Individual personality was studied by applying the Big 5 model of psychological factors (openness, Conscientiousness, extroversion, Agreeableness, neuroticism). In this paper, extraversion was critically analyzed as a priority factor. A trait of extroversion is a strongly active and individual personality. In this study, the field workers are logistics center workers and the functional workers are drivers. They are interactively influenced in the In & Out operation. For example, when it comes to 'up and down work' and 'inspection work', the functional workers perform 'up and down work' and 'delivery work' and the field workers perform 'inspection work'. Stressing on the respective work has an affect on work productivity. Inspection workforce has something to do with inventory management. Functional workforce affects the delivery workforce. Delivery work is positively correlated with customer satisfaction. Nevertheless, as a result of research, extrovert personality that has something to do with an energetic activity would not affect on the implementation of their operation. In addition, personal extraversion of workers and drivers in the warehouse can have a significant impact on job commitment and productivity improvement.

• The Journal of Industrial Distribution & Business
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• v.10 no.7
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• pp.17-27
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• 2019

Purpose - In this study, previous CSR researches was reviewed to help understand the CSR effects, and offer suggestions for future research directions. Research design, data, and methodology - To achieve the purpose of this study, previous CSR effects related researches were reviewed based on stakeholder perspectives. Results - After reviewing, some limitations were found. First, most of the CSR related studies in the management area have focused on CSR effects on individual stakeholders such as the shareholder, the employee, and the consumer. Second, it was difficult to find studies on the management aspect of CSR from both an effective and efficient perspective. Conclusions - To overcome these limitations of previous studies, several studies need to be conducted in the future. First, CSR research must be expanded into B-to-B businesses. Few studies try to figure out the effect of CSR on B-to-B businesses but only suggest the effect of CSR on B-to-B business conceptually. Therefore, empirical study needs to be conducted about CSR to show business performance in the B-to-B market. Second, the process of CSR must be developed on how to improve CSRs' effectiveness and efficiency. Finally, a relationship between a company and individual stakeholders needs to be revised using stakeholders' multiple identities.

• Journal of Korea Foundry Society
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• v.31 no.4
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• pp.218-223
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• 2011

Computer Aided Engineering (CAE) is very helpful field for every manufacturing industry including foundry. It covers CAD, CAM, and simulation technology also, and becomes as common sense in developing new products and processes. In South Korea, more than 600 foundries exist, and their average employee number is less than 40. Moreover, average age of them becomes higher. To break out these situations of foundry, software tools can be effective, and many commercial software tools had already been introduced. But their high costs and risks of investment act as difficulties in introducing the software tools to SMEs (Small and Medium size Enterprise). So we had developed cloud computing platform to propagate the CAE technologies to foundries. It includes HPC (High Performance Computing), platforms and software. So that users can try, enjoy, and utilize CAE software at cyber space without any investment. In addition, we also developed platform APIs (Application Programming Interface) to import not only our own CAE codes but also 3rd-party's packages to our cloud-computing platforms. As a result, CAE developers can upload their products on cloud platforms and distribute them through internet.

• Journal of Technologic Dentistry
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• v.33 no.1
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• pp.103-112
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• 2011

Purpose: of this survey research was to investigate the satisfaction level of clinical training for 300 students in the department of dental technology. Methods: This survey was carried out from 1th of january to 20th of january and analyzed using the Statistical Package for Social Sciences 17.0 for Windows. As for the analysis methods, the study used the frequency analysis, percentage, mean, t-test, analysis of variance, multiple regression analysis. Results: The results of multiple regression analysis between the satisfaction level and the related factors indicated that the satisfaction of major and place of clinical training in the clinical training are the major component in the male students and the satisfaction of major and a school record and clinical training experience are the major component that contribute the satisfaction level in the female students. Conclusion: Regular course of training and pre-employment training also recommends to students in the department of dental technology. Faculty and clinical dental technicians should try in order to improve satisfaction level of clinical training.

• Journal of Korean Academy of Nursing Administration
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• v.20 no.3
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• pp.332-341
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• 2014

Purpose: The purpose of this study was to investigate the relationship among turnover intention, emotional labor, and communication competence in nurses. Methods: The participants for this study were 297 nurses from three general hospitals in two local cites in Korea. Data were collected by self-administered questionnaires from August 26 to September 10, 2013 and analyzed using descriptive statistics, One-way ANOVA, t-test, Pearson Correlation, Stepwise Multiple Regression with the SPSS/WIN 18.0 program. Results: The average scores for turnover intention, emotional labor, and communication competence respectively, were 3.45, 3.08, and 3.44 out of 5. The novices recognized that their emotional labor and turnover intention were significantly higher, and their communication competence was lower than other nurses. Nurses' turnover intention had a positive relationship with their emotional labor, but no relationship with communication competence. Job satisfaction, frequency of emotional expression, and emotional dissonance had an effect on nurses' turnover intention. Conclusion: The results show that emotional labor and job satisfaction are very important factors affecting nurses' turnover intention. So, nurse managers should try to minimize nurses' emotional labor and maximize their job satisfaction by developing various human relationship educational and support programs and using them.