• The Journal of Asian Finance, Economics and Business
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• 제8권5호
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• pp.355-364
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• 2021

The main objective of this study is to examine the interactive effect of technology spillover channels on business efficiency within the case study of manufacturing industry of Vietnam during the period from 2012 to 2018. The research model was developed with business efficiency as dependent variable and the relevant factors affecting the technology spillover capacity as independent variables. With a sample of 2,776 cross-sectional enterprises, panel data analysis approach was adopted to estimate the impact of technology spillover issue. Different spillover channels were also included in the analysis to enhance the empirical result. The study reveals that technology spillovers positively influence manufacturing business efficiency, in which horizontal spillover channel produces negative impact and vertical spillover channel, creates positive impact. Several factors that negatively affect the technology spillover capacity of businesses could be mentioned such as limited skills and experiences of workers, methods of implementing R&D, and the existence of FDI enterprises. Meanwhile, the rise of other factors related to joint-venture activities can help to increase the technology spillover capacity of businesses. In addition, skill and experience transfer makes a partial impact since this variable only positively affect the vertical spillover channel and provide no evidence of impact regarding horizontal spillover channel model.

• 정보보호학회논문지
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• 제29권2호
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• pp.321-330
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• 2019

기업에서 내부자에 의한 기업 기밀 유출 방지는 기업의 생존을 위한 필수 과제이다. 내부자에 의한 정보유출 사고를 막기 위해 기업에서는 보안 솔류션을 도입하여 적용하고 있으나 접근 권한이 있는 내부자의 이상행위를 효과적으로 탐지하는 데에는 한계가 있다. 이번 연구에서는 기업의 제품 제조 이력, 품질 정보 등을 담고 있는 제조정보시스템의 작업자 작업화면 접근 로그 데이타를 기계학습 기법의 비지도학습 알고리즘을 활용하여 정상적인 접근 로그와 비정상적인 접근 로그를 효과적으로 군집화하는 방법을 연구하여 이상징후 탐지를 위한 최적화된 속성 선택 모델을 제시하고자 한다.

• 한국인터넷방송통신학회논문지
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• 제19권5호
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• pp.239-244
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• 2019

기존의 주조 방식은 긴 제작 시간과 많은 비용이 소모되며, 즉각적인 디자인 수정이 불가능하여 다변화하는 현대사회에 대응하기 어려웠다. 때문에 주조 산업은 새로운 대안이 필요했으며 그 중 하나가 적층 제조 기술과의 접목이다. 적층제조기술에는 7가지가 있으나 본 논문에서는 PBF를 활용한 중자 제작을 살펴보려고 한다. 현재의 적층 제조 기술 장비들은 대부분 외산 장비들로 기능 활용과 서비스의 제약이 따르고 있어서 장비의 국산화가 필요하였고 장비의 개발과 함께 기술 활용의 내용을 담았다. 각 장에서는 PBF의 장비 개발 단계 및 소재 적용과 변수 설정에 대해서 서술하고 있으며, 최종적으로 기술을 활용한 산업용 중자 개발의 성공과 특성에 대한 정보를 보여주고 있다.

• 한국기계가공학회지
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• 제20권12호
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• pp.1-7
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• 2021

The deep learning image processing technique was used to prevent accidents in lathe work caused by worker negligence. During lathe operation, when the chuck is rotated, it is very dangerous if the operator's hand is near the chuck. However, if the chuck is stopped during operation, it is not dangerous for the operator's hand to be in close proximity to the chuck for workpiece measurement, chip removal or tool change. We used YOLO (You Only Look Once), a deep learning image processing program for object detection and classification. Lathe work images such as hand, chuck rotation and chuck stop are used for learning, object detection and classification. As a result of the experiment, object detection and class classification were performed with a success probability of over 80% at a confidence score 0.5. Thus, we conclude that the artificial intelligence deep learning image processing technique can be effective in preventing incidents resulting from worker negligence in future manufacturing systems.

• 품질경영학회지
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• 제50권4호
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• pp.717-734
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• 2022

Purpose: The purpose of this study is to effectively detect violations that occur simultaneously against Good Manufacturing Practice, which were concealed by drug manufacturers. Methods: In this study, we present an analysis framework for analyzing regulatory violation patterns using Association Rule Mining (ARM), Text Mining, and t-distributed Stochastic Neighbor Embedding (t-SNE) to increase the effectiveness of on-site inspection. Results: A number of simultaneous violation patterns was discovered by applying Association Rule Mining to FDA's inspection data collected from October 2008 to February 2022. Among them there were 'concurrent violation patterns' derived from similar regulatory ranges of two or more regulations. These patterns do not help to predict violations that simultaneously appear but belong to different regulations. Those unnecessary patterns were excluded by applying t-SNE based on text-mining. Conclusion: Our proposed approach enables the recognition of simultaneous violation patterns during the on-site inspection. It is expected to decrease the detection time by increasing the likelihood of finding intentionally concealed violations.

• 대한본초학회지
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• 제24권3호
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• pp.51-58
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• 2009

Objectives : This study was conducted to evaluate the antioxidative and anticancer activity of the water and ethanol extracts from pickled soybean products by manufacturing stage. Methods : Yakkong (YK) was pickled for 15 days to prepare Chokong (CK) and Chokong pills (CKP) were mixed Chokong (CK) powder with vinegar. Herbal Chokong pills (HCKP) were made by addition five kinds of medicinal herbs to Chokong. Pickled soybean products by each manufacturing process were extracted with distilled water and 70% ethanol, and the extracts were tested for their antioxidative and anticancer activities. Results : The highest electron donating abilities (EDA) of the water and ethanol extracts were from HCKP among pickled soybean products and those were 81.2% and 91.5% at 1,000 $\mu$g/mL, respectively. The ethanol extracts of pickled soybean products had higher activities of EDA and superoxide dismutase (SOD) than water extracts. The highest anticancer activity was the water extracts of HCKP against both of MDA and A549 cells. Conclusions : These results suggest that herbal Chokong pills (HCKP) can be used as natural antioxidant to prevent oxidative damage in normal cells probably because of their antioxidative characteristics.

• Safety and Health at Work
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• 제14권3호
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• pp.259-266
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• 2023

Background: Recent research on occupational injuries in companies has faced difficulties in obtaining representative data, leading to studies relying on surveys or case studies. Moreover, it is difficult to find studies on how a company's industry characteristics affect occupational injuries. This study aims to address these limitations. Methods: We collected 11 years of disclosure data from 1,247 listed companies in the Korean stock market and combined it with their occupational injury histories collected by the Republic of Korea Occupational Safety and Health Agency (KOSHA) to build a dataset. We attempted to analyze a linear panel model by dividing the dataset into manufacturing, construction, and other industries. Results: The higher proportion of full-time employees and better job skills correlate with lower occupational injuries in other industries. The wage increase reduces occupational injuries in manufacturing and other industries, but the substitution effect produces the opposite outcome in construction. Also, foreign ownership and credit ratings increase effectively reduce occupational injuries mainly in the manufacturing industry. Conclusion: Our results suggest that in explaining the relationship between corporate characteristics and occupational injuries, it is necessary to consider the nature of the industry more closely, and in particular, employment and labor policies for preventing occupational injuries need to be selectively applied according to industry. In addition, to improve the limitations and increase the usability of the research results, further detailed studies are needed in the future.

• Annals of Occupational and Environmental Medicine
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• 제35권
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• pp.12.1-12.12
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• 2023

Background: The purpose of this study is to investigate the relationship between job stress and impaired fasting glycemia (IFG) of male workers in a manufacturing industry. Methods: Data were collected from 5,886 male workers in a manufacturing industry who participated in the medical examination from June 19 to August 14, 2020 through self-reported questionnaires. The general characteristics of the subjects, shift work, high blood pressure, dyslipidemia, and job stress were included. Job stress was measured using the Korean Occupational Stress Scale (KOSS) consisting of 8 items and 43 questions. Multivariable logistic regression analysis was used to investigate the IFG association with job stress. Results: Among the various factors that can cause job stress, only high job demand was associated with a risk of IFG (odds ratio, 1.43; 95% confidence interval, 1.13-1.82) especially in non-shift worker. For all other factors, no statistically significant results were obtained. Conclusions: In this study of male workers engaged in the Korean steel manufacturing industry, the 'job demand' item among job stress of non-shift worker was related to IFG.

• 품질경영학회지
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• 제51권4호
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• pp.633-642
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• 2023

Purpose: The variation of the internal diameters of gun barrel incurs a lot of reworks in gun barrel manufacturing process and the significant quality problem of gun barrel. And it is likely to stem from the current measurement system for the internal diameter of gun barrel and the related manufacturing process as well. The purpose of this study is to improve the gun barrel manufacturing process through improving measurement system. Methods: The improved measurement system using laser can measure the internal diameters of gun barrel more accurately, and the properly adjusted honing process reduces the variation of internal diameters of gun barrel. Results: Comparing the mean square error of internal diameters for 6 gun barrels measured before and after process improvement shows that the variation of gun barrel internal diameters was significantly reduced after the process improvement. Conclusion: The introduction of improved measurement system for the internal diameters of gun barrel and the adjustment of related honing process results in the reduction of reworks of gun barrels and their internal diameter variations.

• Design & Manufacturing
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• 제18권2호
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• pp.23-28
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• 2024

The automobile industry is a wide range of related industries, including parts manufacturing and vehicle assembly, press processing is an essential element in making automobiles. Press processing is a processing method for metal sheets that has relatively high dimensional and shape precision and is suitable for mass production. It refers to processing by attaching a special tool, a mold, to a press machine. Recently, the automobile industry is attempting to reduce the weight of automobiles in order to reduce carbon emissions due to global warming, and the use of high-strength steel sheets, which are lighter than general structural steel sheets, is a natural trend. Shear processing is required to use high-strength steel, and the shape of the shear surface created by shear processing has a significant impact on the quality of the automobile. Therefore, various methods are being attempted to improve the share surface during shear processing. Among them, shaving processing is a method of shearing the primary shearing area again, and it is difficult to obtain an accurate answer because complex deformation occurs in the microscopic shear area. Therefore, in this study, the effect of machining allowance on shaving processing was analyzed using the finite element method using high-strength steel plate (SPFH590), and the differences were compared and examined through actual experiments under the same conditions.