• Journal of Korean Association for Spatial Structures
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• v.24 no.3
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• pp.43-51
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• 2024

Dynamic responses of nuclear power plant structure subjected to earthquake loads should be carefully investigated for safety. Because nuclear power plant structure are usually constructed by material of reinforced concrete, the aging deterioration of R.C. have no small effect on structural behavior of nuclear power plant structure. Therefore, aging deterioration of R.C. nuclear power plant structure should be considered for exact prediction of seismic responses of the structure. In this study, a machine learning model for seismic response prediction of nuclear power plant structure was developed by considering aging deterioration. The OPR-1000 was selected as an example structure for numerical simulation. The OPR-1000 was originally designated as the Korean Standard Nuclear Power Plant (KSNP), and was re-designated as the OPR-1000 in 2005 for foreign sales. 500 artificial ground motions were generated based on site characteristics of Korea. Elastic modulus, damping ratio, poisson's ratio and density were selected to consider material property variation due to aging deterioration. Six machine learning algorithms such as, Decision Tree (DT), Random Forest (RF), Support Vector Machine (SVM), K-Nearest Neighbor (KNN), Artificial Neural Networks (ANN), eXtreme Gradient Boosting (XGBoost), were used t o construct seispic response prediction model. 13 intensity measures and 4 material properties were used input parameters of the training database. Performance evaluation was performed using metrics like root mean square error, mean square error, mean absolute error, and coefficient of determination. The optimization of hyperparameters was achieved through k-fold cross-validation and grid search techniques. The analysis results show that neural networks present good prediction performance considering aging deterioration.

• Journal of Fashion Business
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• v.3 no.4
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• pp.83-91
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• 1999

The purpose of this study is to provide some useful references to the educational field in terms of providing on analysis of job characteristics of fashion designers working in the women's wear industries. The data were collected from 102 fashion designers working in women's wear industries through the questionnaire and were analyzed by SPSS packages of frequencies and percentiles for comparative study, and the results are as follows: 1. The demographic characteristics of the fashion designers are; unmarried (80.4%), working less than 2 years (20.2%), completion of junior college(68.6%), majority ages between 20-24 yrs(43.1%). An average length of working in one company war less than 6 months. 2. The ratio computer usage of the design room was approx. 52.0% especially in the management of sales (52.9%) and the ratio in fashion design was approx. 17.6% in merchandising planning. 3. 76.4% of respondents was working 10 hours a day, and 50% of them was dissatisfied on the job caused by excessive working hour (31.4%) and job over load (35.3%). In the developing fashion design with the relation of actual job, insufficient knowledges of the concerned technical and production fields (68.6%) were indicated as the most difficult area. In addition, fashion magazines were considered as the most helpful resource(94.1%). 4. It was noted that the target age groups for the brand were clearly divided into two groups, notably the early and middle of twenties and the early and middle forties. Among the produced items, formal wears were accounted for 52.9%. 5. As far as the contents of job are concerned, the fashion designers are mostly engaged in purchasing textile, collecting informations of fashion, quality control, whereas their actual job is apparel design. 6. The training that the fashion designer received beside formal education includes attendance of private institutes(62.7%), OJT(7.8%), seminars(4.9%). Regarding formal education, the respond indicated that they had least opportunity to received computer training. 7. The necessary subjects in the schools for the fashion designers in relation to the current job were fashion information, merchandising planning, pattern making, cutting, fashion marketing, knowledges of clothing material in sequence. Subjects which are necessary for the further development include pattern making(21.6%), fashion marketing(14.7%), and designing with computer(7.8%).

• Convergence Security Journal
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• v.14 no.1
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• pp.3-10
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• 2014

Private security organizations are complementary to the national safety of life and property of individuals as a social role to play in maintaining peace and order. Pursuit of profit is to the public practice according to the logic of capitalist markets and customers seeking to protect the lives and property. However, the legal and institutional constraints of private security is being requirements inhibited by the development. Crime prevention as a private security role that the private companies, which will pursue the public interest. After all, the expansion of the private security crime is results in an increase in unit. The current level of private security in the 1970s remain, and the constraints is being under goodwill and expertise outside of the training system on the market. Variety of crimes, including cyber crime increases and considering the reality of the constraints on private security requirements are able to improve or supplement shall be realistic. In particular, the legal, regulatory and institutional factors must be improved, with goodwill, and for the creation of new industrial policy as a complement to the public interest should be also provided. The private security law interests through integration of private security guards should be guaranteed, and the term of the theorem, sales activities, ensuring the training of professional staff with professional qualifications system is to be settled. As a private security guard industry growth and development can be based on this composition.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.20 no.7
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• pp.520-527
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• 2019

In this study, the technical level and competence of Chungbuk region manufactures were diagnosed and implications for efficiency improvement of cooperation with local universities were derived. The results are as follow. First, in Chungbuk area, 75% of the skilled workers are medium-skilled and high skilled workers. And the life cycle of production products was found to have entered middle/old age. In addition, the industries were overestimating its technology capabilities, including marketing and sales technology, and management technology. Therefore, local universities should develop differentiated program such as technology transfer and commercialization support so that companies can nurture new industries and it is necessary to improve understanding of reality and future prediction ability through various education and seminars. Second, universities in Chungbuk province have failed to meet the practical demands of industry by providing general educational programs such as lifelong education curriculum, rather than the practical training required by industry. First of all, industries needed the practical training programs such as human resource empowerment, technical education and workers' retraining for local industry development. In addition, industries were expected to provide relevant knowledge and infrastructure such as testing, analysis, participation in technology development such as commissioning and joint research. Therefore, universities should prepare customized Industry-Academia Cooperation Programs through industry demand survey in planning. Also, it is necessary to establish various connection points with industry to ensure that industry-academia cooperation will continue and achieve results. Third, the technology of the industries in Chungbuk province was found to be very unrelated to the next generation regional strategic industries. This is not shared vision between industry and local government, Industry-Academia Cooperation Programs will serve as a platform to organize various community entities. Universities will be able to play a key role in between industries and local governments.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.14 no.5
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• pp.2215-2224
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• 2013

This study performed empirical analysis to estimate SMEs needs in terms of business support policy by growth stages(start-up growth expansion). The subject is the SMEs in Cheonan and Asan, ChungNam and the results are as follows. First, In the initial start-up stage, management plays a key role in dealing with money, labor force, markets and technology while running the organization is a key role of the management in the expansion stage. Major policies to help SMEs grow includes money provision needed in the start-up stage, domestic marketing assistance and the provision of human resources in the growth stage, and assistance in foreign marketing and R&D in the expansion stage. Second, To achieve markets businesses aim at entering the existing and niche markets in the initial phase, and creating new markets in the growth phase. Third, Labor force for technology, sales and management planning in the start-up stage, marketing in the growth stage, and labor force for production in the expansion stage are core man- power needed. Fourth, Money for technology development, securing land for factories, organizing man power, securing markets and running the company is needed in the initial and growth stages while fund for facility investment is needed to grow in the expansion stage. Five, Regarding technology, the initial stage needs technology related to new product development, renewing existing products, improving the existing manufacturing process or developing new manufacturing process, while the growth stage needs processing techniques, and the expansion stage needs technology for developing new manufacturing process. Sixth, Making supply contracts with conglomerates, SMEs and public institutions, and sales to foreign markets are ways for SMEs to grow sales. Seventh, What SMEs wish to get includes business incubating support, R&D assistance, information exchanges, practical use of the R&D results, merchandising support, help with the land to build factories and custom-made support for management in the foundation stage while the support they want to get in the growth stage and in the expansion stage is training assistance and trial production respectively.

• Journal of Korea Foundry Society
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• v.41 no.2
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• pp.144-152
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• 2021

Based on the analysis of the current state of the world's foundry industry, we looked at the international competitiveness of Korea's foundry industry for the past 20 years. Korea's total foundry production is 2.52 million tons, and the production per company (so-called productivity) is 2,831 tons, which is the eighth largest in the world and down one position for the case of total foundry production, while productivity remains its position compared to three years ago. Korea is the only one of the top 10 foundry to see a decline in production. Similar to the global situation, Korean products consist of 38% of grey csat iron, 31% of ductile cast iron, 15% of aluminum, and 9% of cast steel. In order to obtain statistics on Korea's foundry industry, the survey conducted a service project for approximately nine months from April 2020. Various statistical surveys and sample in-depth surveys by the Korean standard industry class were evaluated for various contents of the domestic casting industry. We also looked at the number of companies, the distribution by region, the number of workers and the percentage of foreigners, and the distribution of each job, as well as the R&D investment status according to the size of the enterprise. Together, sales, exports, sales and various profit ratios were analyzed to measure the earning power of foundry industry. In addition, the classification by grouping the foundry industry according to the process utilized by focusing on each company, and to determine the sales, exports, and yield status for each process was also investigated on the basis. Based on these data, the domestic foundry industry has presented a variety of offers for the following issues for sustainable growth; global ranking, marginal corporate restructuring, training of domestic technical people, differentiated support policies by company size and process.

• Journal of Intelligence and Information Systems
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• v.26 no.1
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• pp.1-21
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• 2020

With the rapid development of artificial intelligence technology, various techniques have been developed to extract meaningful information from unstructured text data which constitutes a large portion of big data. Over the past decades, text mining technologies have been utilized in various industries for practical applications. In the field of business intelligence, it has been employed to discover new market and/or technology opportunities and support rational decision making of business participants. The market information such as market size, market growth rate, and market share is essential for setting companies' business strategies. There has been a continuous demand in various fields for specific product level-market information. However, the information has been generally provided at industry level or broad categories based on classification standards, making it difficult to obtain specific and proper information. In this regard, we propose a new methodology that can estimate the market sizes of product groups at more detailed levels than that of previously offered. We applied Word2Vec algorithm, a neural network based semantic word embedding model, to enable automatic market size estimation from individual companies' product information in a bottom-up manner. The overall process is as follows: First, the data related to product information is collected, refined, and restructured into suitable form for applying Word2Vec model. Next, the preprocessed data is embedded into vector space by Word2Vec and then the product groups are derived by extracting similar products names based on cosine similarity calculation. Finally, the sales data on the extracted products is summated to estimate the market size of the product groups. As an experimental data, text data of product names from Statistics Korea's microdata (345,103 cases) were mapped in multidimensional vector space by Word2Vec training. We performed parameters optimization for training and then applied vector dimension of 300 and window size of 15 as optimized parameters for further experiments. We employed index words of Korean Standard Industry Classification (KSIC) as a product name dataset to more efficiently cluster product groups. The product names which are similar to KSIC indexes were extracted based on cosine similarity. The market size of extracted products as one product category was calculated from individual companies' sales data. The market sizes of 11,654 specific product lines were automatically estimated by the proposed model. For the performance verification, the results were compared with actual market size of some items. The Pearson's correlation coefficient was 0.513. Our approach has several advantages differing from the previous studies. First, text mining and machine learning techniques were applied for the first time on market size estimation, overcoming the limitations of traditional sampling based- or multiple assumption required-methods. In addition, the level of market category can be easily and efficiently adjusted according to the purpose of information use by changing cosine similarity threshold. Furthermore, it has a high potential of practical applications since it can resolve unmet needs for detailed market size information in public and private sectors. Specifically, it can be utilized in technology evaluation and technology commercialization support program conducted by governmental institutions, as well as business strategies consulting and market analysis report publishing by private firms. The limitation of our study is that the presented model needs to be improved in terms of accuracy and reliability. The semantic-based word embedding module can be advanced by giving a proper order in the preprocessed dataset or by combining another algorithm such as Jaccard similarity with Word2Vec. Also, the methods of product group clustering can be changed to other types of unsupervised machine learning algorithm. Our group is currently working on subsequent studies and we expect that it can further improve the performance of the conceptually proposed basic model in this study.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.11 no.2
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• pp.121-134
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• 2016

The current insurance market is facing a real problem that the high cost of insurance spent in maintaining a non- face-to-face sales channels face of the channel facing growing contribution to the reduction of side. As a result, the productivity issue facing designers of representative organizations in the organization channel will be referred to an urgent problem. As a result of improved organizational productivity architect that is the goal of this study to demonstrate what a performance improvement factor of insurance agents. Personality factors and individual insurance agents individual-environmental suitability and job satisfaction, consider the impact on turnover intention year of the results architects extroversion, sincerity, openness, it won a chronic, emotional gender, personality representing the honesty factor is organizational commitment and job satisfaction It has had a significant impact on. In other words, this is a lively and extroverted nature of the actuary, the more harmonious interpersonal relationships and higher emotional empathy with others can raise the extent that has a strong sense of belonging and attachment to their company's commitment. Whereas personality factors were not significant influence turnover intention has. This can be made to represent the need for screening of agents introduced from the introduction stage. Depending on the personality factors of organizational commitment, personal planners also occurs because of the differences and job satisfaction. Whereas turnover of agents is the result of empirical factors that are affected by other agents than to individual character generated by the character of the individual agents. Compliance boss, job suitability, individuals representing a fellow fitness, tissue compatibility environmental compliance is having a significant impact on both the degree of organizational commitment, job satisfaction and turnover intention. In other words, the boss or colleague, values and personality, working method, as fits well the concerns and pursuing goals are similar, and their job aptitude higher the suitability of the organization is about to have a sense of belonging and attachment to the company commitment can do. This is the result of a demonstration that the work environment of the actuary agents productivity gains and loyalty depends on the insurance company, which currently belongs.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.15 no.3
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• pp.33-46
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• 2020

This study analyzes the entrepreneurship education phenomena for agri-food entrepreneurs whose main business is the production of agricultural products and the sale of processed products, using the qualitative study Strauss & Corbin(1998)'s evidence theory approach. From the entrepreneur's point of view, I would like to summarize the phenomena that appear in education, and to prepare a theoretical basis for explaining the phenomena. The importance of entrepreneurship education is emphasized to cultivate the ability to develop and provide products tailored to customers. The necessity of education leads to an increase in demand according to the situational awareness of the founders, and the quantitative increase in entrepreneurship education in the agri-food sector is a clear trend. Inevitably, the need for various discussions on systematic and effective entrepreneurship education is raised. For the study, an interview was conducted with preliminary or entrepreneur who have experienced entrepreneurship education in the agri-food sector. As a research method, I use Strauss & Corbin(1998)'s approach and analyze qualitative data using QSR's NVIVO 12 program. Through this study, it was found that contextual and systematic entrepreneurship education in the agri-food sector has the effect of strengthening competitiveness and strengthening sales. There is a need for follow-up management of trainees. Strengthening the competitiveness of start-ups is based on training professional manpower through education and linking regions with cities. Strengthening sales is based on product planning and market development. This study explores entrepreneurship education in the agri-food sector, which has not been actively conducted in the past. Exploratory analysis on the experiences of the founders of agri-food sector as education demanders has an important meaning for understanding the phenomenon of start-up education.

• Journal of the Korean association of regional geographers
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• v.22 no.3
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• pp.499-514
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• 2016

Social enterprise is defined as a sort of companies that pursue both publicity and profitability. It is usual that their business activities and viability are dependent upon localized resources in terms of a labor market, raw material procurement and sales market. Also, the characteristics and viability of social enterprises based on local resources within the framework of social economy policy. The social economic policy in Korea is generally treated as means of local developments. This paper aims to examine the localness and socio-economic foundation of social enterprises which are located in the west of Gyeongnam province in Korea and to provide policy recommendations for promoting local resource-based social enterprises. The selection of the case study firms was chosen by considering various factors such as the viability of the firm, location of a company and the types of organization. The research result shows that most of local social enterprises had a viability and profitability to effectively utilize local resources. But it is claimed that the government policy for promoting local social enterprises reveals some limitations to promoting effectively local social enterprises. First, it is necessary to limit the qualification of applying to the government support program. Second, financial support should be changed from hardware-centered programs to software-centered programs such as training and education for human resource development and the business consulting. Finally, it is necessary for the government policy to focus on follow-up programs for firms which are no more capable of receiving the government financial support. For these firms, the government policy needs to focus on facilitating activities of cooperation between local universities and local social enterprise.