• Proceedings of the Safety Management and Science Conference
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• 2007.04a
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• pp.113-123
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• 2007

Through so that accident of semiconductor industry deduces unsafe factor of the person center on unsafe behaviour that incident history and questionnaire and I made starting point that extract very important factor. It served as a momentum that make up base that analyzes factors that happen based on factor that extract factor cause classification for the first factor, the second factor and the third factor and presents model of human error. Factor for whole defines factor component for human factor and to cause analysis 1 stage in human factor and step that wish to do access of problem and it do analysis cause of data of 1 step. Also, see significant difference that analyzes interrelation between leading persons about human mistake in semiconductor industry and connect interrelation of mistake by this. Continuously, dictionary road map to human error theoretical background to basis traditional accidental cause model and modern accident cause model and leading persons. I wish to present model and new model in semiconductor industry by backbone that leading persons of existing scholars who present model of existent human error deduce relation. Finally, I wish to deduce backbone of model of pre-suppression about accident leading person of the person center.

• Journal of Digital Convergence
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• v.15 no.2
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• pp.165-172
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• 2017

In this paper, we analyze the research / technology trends of electric vehicles from 2001 to 2014, through keyword analysis using paper data published in SCIE or SSCI Journal on electric vehicles, time series analysis using patent data by IPC, and network analysis using nodeXL. also we predicted promising technologies of electric vehicles using one of the prediction methods, weighted moving average method. As a result of this study, battery technology among the electric vehicle component technologies appeared as a promising technology.

• Korea Trade Review
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• v.44 no.4
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• pp.51-66
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• 2019

This study analyzes trade competitiveness by classifying the classification by item among Korea and the 10 ASEAN member countries into high level and medium-high level technology industry groups, medium level, medium-low level, and low-level technology industry groups. Before analyzing each of the 10 member states, I investigate the trade competitiveness between Korea and ASEAN, and analyze the trade competitiveness of Korea, especially among the 10 member countries, with Korea having a competitive industrial force. The study results revealed that trade with Vietnam was actively promoted, with Korea-Vietnam trade volume also growing far above that of other member states. And trade with Korea was brisk in the order of Singapore, Indonesia, Malaysia and the Philippines. The analysis of the trade structure of the 10 ASEAN member states, confirmed that imports were also being made while exporting items in the high- and medium-level technology industry groups. The possibility of entering the Korean market was quite high, given that Korea imported high- and medium- and high-tech industrial forces while exporting low-tech industrial forces.

• Journal of the Korea Safety Management & Science
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• v.22 no.4
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• pp.35-43
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• 2020

The National Competency Standards(NCS) has been developed a good curriculum to reflect the demand in the industry. NCS is defined as systemizing the knowledge, skill, and attitude required to perform a task in the industry. It is an effort to reduce the gap between educational requirements and occupational requirements. However, when NCS is applied, the task level is changed to the title of qualification according to the policy outcomes for the government project. And, the NCS has been emphasizing the purpose of license acquisition, rather than using the standard for tasks in the industry. It means that the misuse of NSC hinders utilizing it as the original purpose of standardizing a task. It requires the customer to study the required competency unit with a no-choice option. Moreover, it makes it hard for companies or industry autonomically run the NCS. Therefore, we define the operational range in terms of the education field, the qualification field, and the career field to diffuse and apply NCS, and suggest the effective utilization method.

• International conference on construction engineering and project management
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• 2024.07a
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• pp.917-924
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• 2024

Despite various government and institutional movements to promote implementation of smart construction, the utilization of smart technologies in the construction industry is still low compared to other industries. To take a systemic look at the impediments in the implementation of smart construction, this study identifies and analyzes the challenging factors of smart construction within the Korean construction industry. Through content analysis of relevant literature, including official documents, research reports, databases, 19 challenging factors have been identified. The intricate relationships among these challenging factors have been examined based on a hierarchy structure established by using the Interpretive Structural Modeling (ISM) approach. Furthermore, factors are classified into four distinct clusters by using the MICMAC analysis: driving factors, dependent factors, autonomous factors, and linkage factors. This classification delineates the interrelationships among the challenging factors and identifies the key factors that drive the system, which is different from that in traditional studies where the relative importance is generally given between factors. The findings will provide crucial information for policy designers and top-level authorities, indicating which challenging factors to prioritize limited resources and efforts. It will aid in formulating effective policies, standards, and regulations to foster the implementation of smart construction in the Korean construction industry.

• Journal of Preventive Medicine and Public Health
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• v.32 no.1
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• pp.17-29
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• 1999

Objectives. This study was carried out to analyze the hearingthreshold levels and relating factors of 1,048 workers with noiseinduced hearing loss$(D_1)$. Methods. We analyzed the hearing-threshold levels and relating factors of 1,048 workers with noise-induced hearing loss$(D_1)$ examined by the summary reports of specific health examination results of industries and personal reports of specific health examination results reported by 58 specific health examination institutes and 8 secondary pneumoconiosis examination institutes in 1996. Results. Among 1,048 workers at 510 workplaces, male workers were 1,009 (96.3%) and female workers were 39 (3.7%). The mean ages of workers initially exposed to noise and at present were 28.7 and 47.2, respectively. The duration of total exposure was 16.5 years. Average hearing-threshold levels analyzed by three-divided classification of the study subjects were 43.7dB(Lt) and 42.6dB(Rt). Those analyzed by six-divided classification were 50.5dB(Lt) and 48.6d8(Rt). Among workers with noise-induced shearing loss$(D_1)$, 16.3% was unilateral hearing loss and 84.6% was classified to compensation case. 8.8%(Rt) and 10.2%(Lt) of them were suspected to be conductive hearing loss by differences of air-bone hearing-threshold levels. Hearing-threshold levels of workers in manufacturing industry were significantly increased during the short exposure compared with the levels in mining industry. Among manufacturing industries, hearing-threshold levels of workers in trailer and other transportation equipment manufacturing industry were significantly increased. Age and duration of total noise exposure were not significantly related to the average hearing-threshold levels analyzed by three-divided classification. Hearing-threshold levels of female workers were significantly increased during the short exposure compared with those of male workers. Hearing-threshold levels of workers at the high risk group, ages of 20s, 30s and total exposure duration of less than 10 years, were not significantly increased compared with those of the other groups. However, they were exposed at young ages. The 3 leading industries of workers at high risk group were trailer and other transportation equipment manufacturing, automobile manufacturing and assemble-metal manufacturing industries. Conclusions. This study was the first nationwide analysis of the hearing-threshold levels and relating factors of workers with noise. induced hearing loss$(D_1)$. We found the differences of the real number by the statistics of the department of labour and the expected number of worker' s compensations for occupationally-induced hearing loss estimated by this study. According to the results of this study, we should carefully examine the methods to narrow this difference.

• Journal of the Korea Convergence Society
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• v.8 no.10
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• pp.249-255
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• 2017

The domestic tourism industry mostly relies on quantitative surveys for customer satisfaction. However, customer participation of the questionnaires is extremely low and the improvement of the dissatisfactory factors is not being performed promptly. In this paper, we propose a new topic map system and prove its empirical effectiveness to improve the accuracy of customer feedback information and the efficiency of the analysis process. The topic map system is a system for analyzing large amounts of customer feedback data in real time. It uses text mining and ontology techniques by integrating data collected over a certain period from real-time SNS and quantitative data obtained from existing survey systems. The effect after improving the analyzed factors of dissatisfaction is also a new and innovative evaluation system for monitoring customer satisfaction in real time. The classification based on this integrated data is a classification system that is specific to the product or the customer. According to this classification, it is possible to measure the effect of the recognition and improvement of the complaint factor in real time on the topic map system. This provides a sophisticated prioritization of the improvement factors and enables customer satisfaction quality control as a PDCA feedback system. In addition, the survey period and costs are greatly shortened, and responses can be more precise to the existing survey method. As a practical application, this system is applied to the largest H travel agency in Korea to prove the accuracy and efficiency of the proposed system.

• Journal of the Korea Convergence Society
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• v.12 no.4
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• pp.9-21
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• 2021

The study aims to identify convergence and trends in technology-based patent data for the biohealth sector in IP5 countries (KR, EP, JP, US, CN) and present the direction of development in that industry. We used patent co-classification analysis-based network analysis and TF-IDF-based text mining as the principal methodology to understand the current state of technology convergence. As a result, the technology convergence cluster in the biohealth industry was derived in three forms: (A) Medical device for treatment, (B) Medical data processing, and (C) Medical device for biometrics. Besides, as a result of trend analysis based on technology convergence results, it is analyzed that Korea is likely to dominate the market with patents with high commercial value in the future as it is derived as a market leader in (B) medical data processing. In particular, the field is expected to require technology convergence activation policies and R&D support strategies for the technology as the possibility of medical data utilization by domestic bio-health companies expands, along with the policy conversion of the "Data 3 Act" passed by the National Assembly in January 2019.

• Proceedings of the Korean Society of Near Infrared Spectroscopy Conference
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• 2001.06a
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• pp.1248-1248
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• 2001

Mastitis is a major problem for the global dairy industry and causes substantial economic losses from decreasing milk production and considerable compositional changes in milk, reducing milk quality. The potential of near infrared (NIR) spectroscopy in the region from 1100 to 2500nm and chemometric method for classification to detect milk from mastitic cows was investigated. A total of 189 milk samples from 7 Holstein cows were collected for 27 days, consecutively, and analyzed for somatic cells (SCC). Three of the cows were healthy, and the rest had mastitis periods during the experiment. NIR transflectance milk spectra were obtained by the InfraAlyzer 500 spectrophotometer in the spectral range from 1100 to 2500nm. All samples were divided into calibration set and test set. Class variable was assigned for each sample as follow: healthy (class 1) and mastitic (class 2), based on milk SCC content. The classification of the samples was performed using soft independent modeling of class analogy (SIMCA) and different spectral data pretreatment. Two concentration of SCC - 200 000 cells/ml and 300 000 cells/ml, respectively, were used as thresholds fer separation of healthy and mastitis cows. The best detection accuracy was found for models, obtained using 200 000 cells/ml as threshold and smoothed absorbance data - 98.41% from samples in the calibration set and 87.30% from the samples in the independent test set were correctly classified. SIMCA results for classes, based on 300 000 cells/ml threshold, showed a little lower accuracy of classification. The analysis of changes in the loading of first PC factor for group of healthy milk and group of mastitic milk showed, that separation between classes was indirect and based on influence of mastitis on the milk components. The accuracy of mastitis detection by SIMCA method, based on NIR spectra of milk would allow health screening of cows and differentiation between healthy and mastitic milk samples. Having SIMCA models, mastitis detection would be possible by using only DIR spectra of milk, without any other analyses.

• The Journal of the Korea Contents Association
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• v.14 no.12
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• pp.598-606
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• 2014

While the United States and Japan have non-government film rating system, Korea and France are still maintaining governmental control process. But the restrict showing rate in Korea does possibly violate the Constitution with no theatre for the movies of that rate right now. No other visual media including broadcasting have any outer classification process before their showing. So we need to improve our system by replacing it with non-governmental system. To establish independent non-government rating system, first of all, the major companies of film industry should get together to set up Korean Classification and Rating Association, to support the Film Rating Board. The most important thing is that the board operates independently. Government can support art cinemas financially with rating fee. Juvenile protection groups have to keep watch on the process of the board going fairly as well. The chief obstacle for non-governmental rating system is the fact that major companies don't want to get it. But continuing efforts to find any rational way is worthy enough.