• Safety and Health at Work
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• 제5권4호
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• pp.203-209
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• 2014

Background: Coal mining is of significant economic importance to the Australian economy. Despite this fact, the related workforce is subjected to a number of psychosocial risks and musculoskeletal injury, and various psychological disorders are common among this population group. Because only limited research has been conducted in this population group, we sought to examine the relationship between physical (pain) and psychological (distress) factors, as well as the effects of various demographic, lifestyle, and fatigue indicators on this relationship. Methods: Coal miners (N = 231) participated in a survey of musculoskeletal pain and distress on-site during their work shifts. Participants also provided demographic information (job type, age, experience in the industry, and body mass index) and responded to questions about exercise and sleep quality (on-and off-shift) as well as physical and mental tiredness after work. Results: A total of 177 workers (80.5%) reported experiencing pain in at least one region of their body. The majority of the sample population (61.9%) was classified as having low-level distress, 28.4% had scores indicating mild to moderate distress, and 9.6% had scores indicating high levels of distress. Both number of pain regions and job type (being an operator) significantly predicted distress. Higher distress score was also associated with greater absenteeism in workers who reported lower back pain. In addition, perceived sleep quality during work periods partially mediated the relationship between pain and distress. Conclusion: The study findings support the existence of widespread musculoskeletal pain among the coal-mining workforce, and this pain is associated with increased psychological distress. Operators (truck drivers) and workers reporting poor sleep quality during work periods are most likely to report increased distress, which highlights the importance of supporting the mining workforce for sustained productivity.

• 한국산학기술학회논문지
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• 제20권2호
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• pp.180-189
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• 2019

본 연구는 창업가가 가지는 창업만족도에 있어 제도적 지원 보다는 창업기업이 가지고 있는 특성별 변수가 창업가의 창업 만족도에 영향을 줄 것이라는 전제하에 어떤 요인들이 중요하게 작용하고 있는지를 분석하고자 한다. 이를 위해 그간 많은 연구가 진행된 창업성과인 창업만족도에 영향을 미치는 요인으로 창업가의 개인적 특성 변수 외에 심리적 요인을 도출하고자 하였다. 심리적 요인은 창업을 통한 일과 근무환경에 대한 만족, 경제적인 고용안정 및 소득 요인의 만족, 창업의 가치성 부분인 개인의 발전가능성, 자율성, 사회적 평판으로 연구모형으로 설정하여 실증분석을 하였다. 연구방법으로는 부산 지역 내 최근 3년간 창업활동을 하고 있는 창업가를 대상으로 표본을 구성하여, 기술통계분석과 상관관계분석 및 다중회귀분석을 통해 창업가의 개인적 특성변수와 창업만족도와 더불어 심리적 요인과 창업만족도에 대한 가설을 검증하여 의미 있는 결과와 시사점을 도출할 수가 있었다. 이를 기반으로 향후, 본 연구에서 반영되지 않았던 재무적 지표와 기술력 확보 등 기업 역량변수를 포함한 연구로 확대해 나갈 수 있을 것으로 본다.

• 전기학회논문지
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• 제68권1호
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• pp.27-35
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• 2019

There is a growing interest in various microgrid solutions that supply electricity 24 hours a day to off-grid areas where are not connected with the main grid, and Korea has many positive effects by constructing overseas microgrids as a country operating the emission trading scheme. Since it is not clear how to obtain load curves that is one of the inputs of the HOMER used to design a microgrid optimization plan, or it is necessary to examine whether electricity is supplied to the peak load level of the areas where have not received the electricity benefits from the viewpoint of the demand management, a methodology should be developed to know the load composition ratio and the shape of the daily load curve. In this paper, the relative coefficient and average load information for each load group obtained from the survey are used besides peak load and total average load. A mathematical model is proposed to derive the load composition ratio in the form of a Quadratic Programming and the load forecasting is performed using simple linear regression with future indicators. The effectiveness of the proposed method is confirmed for the Philippine island region supported by Korea Energy Agency and the Asian Development Bank.

• Journal of Ginseng Research
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• 제43권1호
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• pp.10-19
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• 2019

Background: Frequent overdose of paracetamol (APAP) has become the major cause of acute liver injury. The present study was designed to evaluate the potential protective effects of ginsenoside Rk1 on APAP-induced hepatotoxicity and investigate the underlying mechanisms for the first time. Methods: Mice were treated with Rk1 (10 mg/kg or 20 mg/kg) by oral gavage once per d for 7 d. On the 7th d, allmice treated with 250mg/kg APAP exhibited severeliverinjury after 24 h, and hepatotoxicitywas assessed. Results: Our results showed that pretreatment with Rk1 significantly decreased the levels of serum alanine aminotransferase, aspartate aminotransferase, tumor necrosis factor, and interleukin-$1{\beta}$ compared with the APAP group. Meanwhile, hepatic antioxidants, including superoxide dismutase and glutathione, were elevated compared with the APAP group. In contrast, a significant decrease in levels of the lipid peroxidation product malondialdehyde was observed in the ginsenoside Rk1-treated group compared with the APAP group. These effects were associated with a significant increase of cytochrome P450 E1 and 4-hydroxynonenal levels in liver tissues. Moreover, ginsenoside Rk1 supplementation suppressed activation of apoptotic pathways by increasing Bcl-2 and decreasing Bax protein expression levels, which was shown using western blotting analysis. Histopathological observation also revealed that ginsenoside Rk1 pretreatment significantly reversed APAP-induced necrosis and inflammatory infiltration in liver tissues. Biological indicators of nitrative stress, such as 3-nitrotyrosine, were also inhibited after pretreatment with Rk1 compared with the APAP group. Conclusion: The results clearly suggest that the underlying molecular mechanisms in the hepatoprotection of ginsenoside Rk1 in APAP-induced hepatotoxicity may be due to its antioxidation, antiapoptosis, anti-inflammation, and antinitrative effects.

• Safety and Health at Work
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• 제9권4호
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• pp.454-461
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• 2018

Background: Working conditions and psychosocial work factors have acquired an important role explaining the well-being and performance of professional drivers, including those working in the field of public transport. This study aimed to examine the association between job strain and the operational performance of public transport drivers and to compare the expositions with psychosocial risk at work of three different types of transport workers: taxi drivers, city bus drivers, and interurban bus drivers. Method: A sample of 780 professional drivers was drawn from three transport companies in Bogota (Colombia). The participants answered the Job Content Questionnaire and a set of sociodemographic and driving performance questions, including age, professional driving experience, work schedules, and accidents and penalties suffered in the last 2 years. Results: Analyses showed significant associations between measures of socio-labor variables and key performance indicators such road traffic accidents and penalties. Furthermore, multiple linear regression analysis contributed to explain significantly suffered accidents from key variables of the Job Demand-Control model, essentially from job strain. In addition, throughout post-hoc analyses, significant differences were found in terms of perceived social support, job strain, and job insecurity. Conclusion: Work stress is an issue that compromises the safety of professional drivers. This research provides evidence supporting a significant effect of job strain on the professional driver's performance. Moreover, the statistically significant differences between taxi drivers, city bus drivers, and interurban bus drivers in their expositions to work-related stress suggest the need for tailored occupational safety interventions on each occupational group.

• International Journal of Computer Science & Network Security
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• 제21권5호
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• pp.57-68
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• 2021

Successfully adapting to digital and customer-oriented transformation, the concept of lean manufacturing professes the philosophy of creating greater benefit while minimizing losses. These losses are operations that do not add value in the production process to ensure the efficiency, flexibility, and profitability of projects. In the context of broad automation and digitalization of all sectors of the economy, mechanisms for combining automation technologies and lean production are becoming available. Moreover, when it comes to the efficient use of financial, human, or material resources, it is clear that the use of Industry 4.0 technologies can be an effective tool for achieving the goals of lean production, as many of them pursue the same goal. In this context, this article aims to study the effectiveness of the implementation of project management concepts at the global level and identify the main factors influencing its effectiveness to ensure the achievement of lean production through LEAN technologies and Industry 4.0 technologies. To achieve this goal, several statistical indicators were selected and several statistical methods of analysis were used: pairwise correlation, regression analysis, methods of comparison, synthesis, and generalization. Statistical analysis was conducted according to a survey conducted by the Project Management Institute (PMI) in 2020. An economic-mathematical model of dependence of project effectiveness in different regions of the world on the level of implementation of project management approaches is built, which shows that the increase in project effectiveness by 85% is due to financial losses, technical training, and consumer orientation. These results allow project managers to develop appropriate strategies to improve project management approaches at all levels. It is established that LEAN technologies and technologies of Industry 4.0 have several tools that have a positive effect on minimizing losses following the concept of lean production. Besides, given that the technology of Industry 4.0 is focused on the automation of Lean Production technology, a mechanism for the introduction of lean production using these technologies and methods.

• 자원ㆍ환경경제연구
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• 제30권4호
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• pp.581-605
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• 2021

본 연구의 목적은 전통적 에너지효율의 지표인 에너지원단위(Energy Intensity)를 넘어 확률적 프런티어 접근으로 우리나라의 지역별 에너지효율성을 추정하고 이를 에너지효율 개선을 위한 기초적 자료로 제공하고자 함이다. 이를 위해 1998 - 2018년 기간 동안의 우리나라 16개 시·도의 에너지효율성 및 에너지원단위 효율성을 확률적 거리함수를 활용하여 추정한다. 부가적으로 선행연구에서 혼재하고 있는 자본스톡 추계방법들에 따른 에너지효율성 순위의 강건성을 살펴본다. 분석 결과 첫째, 세 가지 에너지효율의 지표에 따라 지역의 순위에 상당한 변동이 있었으므로 이들을 상호보완적으로 사용해야 할 것이다. 둘째, 에너지효율성은 시간이 지남에 따라 미미하지만 조금씩 개선된 반면, 에너지원단위 효율성은 미미하지만 하락했다. 마지막으로 자본스톡 추계방법에 따른 지역별 에너지효율성은 강건하지 않았다. 경제분석에서 중요한 자본스톡 추정 시 신중을 기해야 할 것이다.

• 교육녹색환경연구
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• 제21권4호
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• pp.13-20
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• 2022

최근 교육시설정책의 일환으로 전체 학교시설 중 40년 이상 경과된 건축물을 대상으로 공간혁신 차원의 개축사업이 진행 중이다. 노후화 정도 또한 증가하여 안전상의 위험을 초래하여 교직원과 학생의 거주 안전성을 위협하거나 미래 교육과정에 대응되지 못하는 열악한 환경으로 학교건축에 대한 증개축의 필요성이 급격하게 증가하고 있다. 학교건축은 교육과정을 수행하는 교육환경으로 대응하기 위해서는 국가 교육과정의 이해와 교육적 효과를 지원하는 교육공간의 명확한 관계 판단 기준이 필요하다. 본 연구는 노후 학교건축의 평가 기준을 정하기 위해서는 정량적 분석과 체계화된 평가지표의 연구와 평가방법을 관련 담당자들이 활용할 수 있도록 정량화, 정확성을 중심으로 판단자료를 제시하고자 하였다.

• 지능정보연구
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• 제28권4호
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• pp.81-94
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• 2022

최근 고액의 실물자산이나 채권을 분할하여 여러 투자자가 공동으로 투자하는 이른바 조각투자가 인기를 얻고 있다. 2016년 설립된 뮤직카우는 음원 유통에 따른 저작권료 참여 청구권을 조각투자할 수 있는 서비스를 세계 최초로 시작하였다. 본 연구에서는 딥러닝 알고리즘 중 하나인 LSTM 모델을 사용하여 뮤직카우에서 거래되는 저작권료 참여 청구권의 가격을 예측하는 연구를 진행하였다. 청구권의 이전 가격과 거래량, 저작권료와 같은 청구권과 관련된 변수 외에도, 음악저작권료 참여 청구권 시장 상황을 나타내는 종합 지표와 경제 상황을 반영하는 환율, 국고채 금리, 한국종합주가지수도 변수로 사용하였다. 연구 결과 상대적으로 거래량이 낮은 조각투자의 사례에서도 LSTM 모델이 거래가격을 잘 예측하는 것을 확인할 수 있었다.

• 해양환경안전학회지
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• 제28권6호
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• pp.899-905
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• 2022

연안오염총량관리제는 지자체에 오염물질부하량을 할당하고, 오염부하 삭감뿐만 아니라 바람직한 지역발전에 있어서 아주 중요하다. 본 연구에서는 광양만특별관리해역의 총량관리 도입에 앞서 해역으로 유입하는 오염물질의 유입부하와 광양만 해역의 수질상태를 조사하였고, 현재 연안오염총량관리를 실시하고 있는 다른 해역의 장기적인 현황을 살펴보았으며, 수회에 걸쳐 광양만 특별관리해역 환경자문위원회의 의견을 수렴하였다. 그 결과, 광양만에도 총량관리의 필요성이 인정되었으나, 시행에 앞서 우선 COD, TN, TP, 중금속, PAHs의 지속적인 모니터링과 함께 총량관리 도입의 경제성과 효율성과 같은 타당성 검토가 이루어져야 할 것으로 판단되었다.