• Title/Summary/Keyword: Auto-Management

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Predicting Subjective Well-being of Workers With Disabilities Using Integrated Social Cognitive Career Theory (통합된 사회인지진로이론을 적용한 장애인 근로자의 주관적 안녕감 예측 모형)

  • Kim, Do-Hee
    • Journal of Digital Convergence
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    • v.20 no.2
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    • pp.431-446
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    • 2022
  • This study tested the possibility of applying the integrated social cognitive career theory for workers with disabilities to explore ways of predicting and enhancing their subjective well-being. It analyzed 952 adults who were employed for three years, among the workers who had participated in the Panel Survey of Employment for the Disabled from 2016 to 2018. The results showed that disability acceptance was positively related to occupational self-efficacy, job satisfaction, and life satisfaction with statistical significance, and that occupational self-efficacy had a partial mediating effect on the relationship between job satisfaction and disability acceptance. Moreover, both auto-regressive and cross-lagged effects between disability acceptance and job satisfaction were found to be statistically significant. These findings imply that disability acceptance and occupational self-efficacy can be regarded as important factors to increase the subjective well-being of workers with disabilities.

Implementation of Git's Commit Message Complex Classification Model for Software Maintenance

  • Choi, Ji-Hoon;Kim, Joon-Yong;Park, Seong-Hyun
    • Journal of the Korea Society of Computer and Information
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    • v.27 no.11
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    • pp.131-138
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    • 2022
  • Git's commit message is closely related to the project life cycle, and by this characteristic, it can greatly contribute to cost reduction and improvement of work efficiency by identifying risk factors and project status of project operation activities. Among these related fields, there are many studies that classify commit messages as types of software maintenance, and the maximum accuracy among the studies is 87%. In this paper, the purpose of using a solution using the commit classification model is to design and implement a complex classification model that combines several models to increase the accuracy of the previously published models and increase the reliability of the model. In this paper, a dataset was constructed by extracting automated labeling and source changes and trained using the DistillBERT model. As a result of verification, reliability was secured by obtaining an F1 score of 95%, which is 8% higher than the maximum of 87% reported in previous studies. Using the results of this study, it is expected that the reliability of the model will be increased and it will be possible to apply it to solutions such as software and project management.

An Exploratory Study of Competitive Strategy and Performance in Chinese Automotive Industry (중국 자동차 산업의 경쟁전략과 성과에 대한 탐색적 연구)

  • Qin, Zhi-Min;Huh, Moon-Goo
    • Asia-Pacific Journal of Business
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    • v.12 no.2
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    • pp.61-79
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    • 2021
  • Purpose - The purpose of this study was to analyze the impact of a company's competitive strategy on corporate performance in the highly competitive Chinese automotive industry. Design/methodology/approach - This study collected 14 survey data from automotive companies in China which be listed more than one year. We chosen the exploratory study with deriving research assignments, and the final research results are presented as propositions to proceed with the study. Findings - First, in the Chinese automobile industry, a company's competition strategy has a positive impact on corporate performance. and also the Differentiation strategy and the Low-cost strategy both have a positive impact on corporate performance. In addition, a company pursuing the Differentiation strategy that it would achieve better corporate performance than a company pursuing the Low-cost strategy. Second, it has been shown that the hybrid strategy rather than the pure strategy in the Chinese automobile industry can achieve higher corporate performance. Research implications or Originality - First, the type of competitive strategy in Chinese automotive industry were identified through the original strategies presented by Porter and Murray, and the impact of the Low-cost and the Differentiation strategies on corporate performance was analyzed. Second, contributing to the study of pure and hybrid strategies that are still under discussion now. Third, it also suggested practical implications that companies in China's automotive industry should pursue cost or differentiation advantages to secure competitive advantage.

Development and Performance Improvement of old Aluminum Extruder Remanufacturing Technology (노후된 알루미늄 압출기의 재제조 기술 개발 및 성능 개선)

  • Sang-Min Yoon;Hang-Chul Jung;Man-Seek Kong
    • Journal of the Korean Society of Industry Convergence
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    • v.26 no.1
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    • pp.95-103
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    • 2023
  • The domestic remanufacturing industry is concentrated in auto parts, so it is necessary to expand into various industries. In the domestic aluminum industry, the extrusion process accounts for more than 40% of the total, but the old and management of the extrusion equipment is not done properly. In particular, the extruder has a structure in which equipment is not replaced until major parts are damaged or worn, so there are problems such as lower process precision, productivity and production efficiency compared to new equipment, and high maintenance costs. In this study, the old extruder was remanufactured for major high-risk parts through Failure Mode and Effect Analysis(FMEA), and the process level and performance of the extruder were evaluated before and after remanufacturing. Compared to the existing extruder, the standard deviation of the remanufacture extruder was reduced by 93.5%, 57.9%, and 70.0%, respectively, in major process control items such as container temperature, billet temperature, and ram speed, keeping performance constant. In addition, it was possible to produce products with complex shapes that could not be produced before due to problems such as dimensional deviation within tolerances. In this study, remanufacturing guidelines were presented by analyzing the effect of failure modes of the old extruder, and the performance improvement of the extruder was confirmed.

Cytokines, Vascular Endothelial Growth Factors, and PlGF in Autoimmunity: Insights From Rheumatoid Arthritis to Multiple Sclerosis

  • Young eun Lee;Seung-Hyo Lee;Wan-Uk Kim
    • IMMUNE NETWORK
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    • v.24 no.1
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    • pp.10.1-10.17
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    • 2024
  • In this review, we will explore the intricate roles of cytokines and vascular endothelial growth factors in autoimmune diseases (ADs), with a particular focus on rheumatoid arthritis (RA) and multiple sclerosis (MS). AD is characterized by self-destructive immune responses due to auto-reactive T lymphocytes and Abs. Among various types of ADs, RA and MS possess inflammation as a central role but in different sites of the patients. Other common aspects among these two ADs are their chronicity and relapsing-remitting symptoms requiring continuous management. First factor inducing these ADs are cytokines, such as IL-6, TNF-α, and IL-17, which play significant roles in the pathogenesis by contributing to inflammation, immune cell activation, and tissue damage. Secondly, vascular endothelial growth factors, including VEGF and angiopoietins, are crucial in promoting angiogenesis and inflammation in these two ADs. Finally, placental growth factor (PlGF), an emerging factor with bi-directional roles in angiogenesis and T cell differentiation, as we introduce as an "angio-lymphokine" is another key factor in ADs. Thus, while angiogenesis recruits more inflammatory cells into the peripheral sites, cytokines secreted by effector cells play critical roles in the pathogenesis of ADs. Various therapeutic interventions targeting these soluble molecules have shown promise in managing autoimmune pathogenic conditions. However, delicate interplay between cytokines, angiogenic factors, and PlGF has more to be studied when considering their complementary role in actual pathogenic conditions. Understanding the complex interactions among these factors provides valuable insights for the development of innovative therapies for RA and MS, offering hope for improved patient outcomes.

An Empirical Study on the Effects of Regulation in Online Gaming Industry via Vector Autoregression Model (벡터자기회귀(VAR) 모형을 활용한 온라인 게임 규제 영향에 대한 실증적 연구: 웹보드 게임을 중심으로)

  • Moonkyoung Jang;Seongmin Jeon;Byungjoon Yoo
    • Information Systems Review
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    • v.19 no.1
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    • pp.123-145
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    • 2017
  • This study empirically examines the effects of regulation on online gaming. Going beyond ad hoc heuristic approaches on individual behavior, we investigate the effects of regulation on dynamic changes of games or service providers. In particular, we propose three theoretical perspectives: social influence to investigate the regulation effect, the role of prior experience to determine the difference in the regulation effect size through users' prior experience, and network externalities to discover the difference in the regulation effect size according to the number of users on an online gaming platform. We use the vector autoregression methodology to model patterns of the co-movement of online games and to forecast game usage. We find that online gamers are heterogeneous. Therefore, policy makers should make suitable regulations for each heterogeneous group to effectively avoid generating gaming addicts without interrupting the economic growth of the online gaming industry.

The Implementation Status of Dental Treatment Infection Control Standards of Dental Hygienists (치과위생사의 치과진료 감염방지기준에 관한 연구)

  • Yoo, Ha-Na;Kang, Kyung-Hee
    • Journal of Digital Convergence
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    • v.11 no.12
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    • pp.649-656
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    • 2013
  • This study was conducted to find out about the implementation status of dental treatment infection control standards of dental hygienists. The subjects of research were the dental hygienists working at dentist offices in Chungnam, Cheonan-si using self-input method from July 25th, 2012 to August 1st 2012. The collected data was analyzed after computerized statistical processing using SPSS 18.0. For hepatitis B vaccination, the results were high with 75.0% of answers being 'yes' or auto-active immunity, but for the latest hepatitis vaccination period showed highest results in '5 years or more ago' with 48.0%. Although 93.0% answered that vaccination was important, the percentage of replies that they had vaccination education was relatively low with 41.0%. For the use of personal protection tools the use of protective goggles was low compared to the use of masks and medical gloves. The percentage of subjects that answered that they always wash their hands before treatment was relatively low with 56.0% compared to 82.0% of subjects that answered that they always washed their hands after treatment. Dental treatment equipment washing before sterilization, use of packing and re-sterilization of tools with damaged packing showed high results for 'yes', but the ratio of subjects that answered 'no' to water line management was low with 39%.

A Longitudinal Causal Rrelationship Study on the Elderly's Assets, Depression and Llife Satisfaction: : The Application of Autoregressive Cross-lagged Model (노인의 자산과 우울 및 삶의 만족 간의 종단적 인과관계: 자기회귀교차지연모형의 적용)

  • Lee, Hyoung-Ha
    • Journal of Digital Convergence
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    • v.18 no.6
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    • pp.513-522
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    • 2020
  • The purpose of this study is to analyze the auto-regression effect between the elderly's assets and depression and life satisfaction, and to approach the influence of assets and depression on the elderly's life from a longitudinal perspective. For this purpose, the data for the 9th year (2014), 11th year (2016), and 13th year (2018) of the Korea Welfare Panel were used. As a result of the analysis, First, the assets, depression and life satisfaction of the elderly have a lasting effect on the passage of time, and the assets, depression and life satisfaction of the previous point in time (B=.694, B=.725, p<.001), depression (B=.258, B=.331 and p<.001) and life satisfaction (B=.264, B=.265, p<.001). Second, cross-recursion coefficients show how the relationship between the assets of the elderly and depression and the satisfaction of life affects each other over time, and the assets of the older person at the previous point in time (B=.010, B=.011, p<.001), the assets of the older persons at previous times are subsequently satisfied with their lives (B=.128, B=.124, p<.001). Based on the results of the above analysis, it is necessary to support the elderly's asset management service and education to prevent depression, such as continuous asset utilization education.

Interdependence of the Asia-Pacific Emerging Equity Markets (아시아-태평양지역 국가들의 상호의존성)

  • Moon, Gyu-Hyun;Hong, Chung-Hyo
    • The Korean Journal of Financial Management
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    • v.20 no.2
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    • pp.151-180
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    • 2003
  • We examine the interdependence of the major Asia-Pacific stock markets including S&P 500, FTSE 100, Kualar Lumpur Composite, Straits Times, Hang Seng, NIKKEI 225 and KOSPI 200 from October 4, 1995 to March 31,2000. The analysis employs the vector-auto-regression, Granger causality, impulse response function and variance decomposition using daily returns on the national stock market indices. The findings in this paper indicate that the volatilities of all countries has grown after IMF crisis, while there is no significance in cointegration test of both total period and sub-periods. This result implies that investors are able to get abnormal returns by investment diversification according to the portfolio theory. We find that while the effect from NIKKEI 225 to others is relatively weak, the interdependence from S&P 500 to other countries is strong. Also we find that the strong effect from Straits Times to Hang Seng exists. This study suggests that there is slight feedback relation between KOSPI 200 and Kualar Lumpur Composite, Straits Times, Hang Seng stock market.

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Development of the Algofithm for Gaussian Mixture Models based Traffic Accident Auto-Detection in Freeway (GMM(Gaussian Mixture Model)을 적용한 영상처리기법의 연속류도로 사고 자동검지 알고리즘 개발)

  • O, Ju-Taek;Im, Jae-Geuk;Yeo, Tae-Dong
    • Journal of Korean Society of Transportation
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    • v.28 no.3
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    • pp.169-183
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    • 2010
  • Image-based traffic information collection systems have entered widespread adoption and use in many countries since these systems are not only capable of replacing existing loop-based detectors which have limitations in management and administration, but are also capable of providing and managing a wide variety of traffic related information. In addition, these systems are expanding rapidly in terms of purpose and scope of use. Currently, the utilization of image processing technology in the field of traffic accident management is limited to installing surveillance cameras on locations where traffic accidents are expected to occur and digitalizing of recorded data. Accurately recording the sequence of situations around a traffic accident in a freeway and then objectively and clearly analyzing how such accident occurred is more urgent and important than anything else in resolving a traffic accident. Therefore, in this research, existing technologies, this freeway attribute, velocity changes, volume changes, occupancy changes reflect judge the primary. Furthermore, We pointed out by many past researches while presenting and implementing an active and environmentally adaptive methodology capable of effectively reducing false detection situations which frequently occur even with the Gaussian Mixture model analytical method which has been considered the best among well-known environmental obstacle reduction methods. Therefore, in this way, the accident was the final decision. Also, environmental factors occur frequently, and with the index finger situations, effectively reducing that can actively and environmentally adaptive techniques through accident final judgment. This implementation of the evaluate performance of the experiment road of 12 incidents in simulated and the jang-hang IC's real-time accident experiment. As a result, the do well detection 93.33%, false alarm 6.7% as showed high reliability.