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Development of Korean Version Burnout Syndrome Scale (KBOSS) Using WHO's Definition of Burnout Syndrome

  • Kim, Hyung Doo;Park, Shin-Goo;Kim, Won-Hyoung;Min, Kyoung-Bok;Min, Jin-Young;Hwang, Sang-Hee
    • Safety and Health at Work
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    • v.12 no.4
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    • pp.522-529
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    • 2021
  • Background: Burnout syndrome (BOS) is defined by the World Health Organization (WHO) as a syndrome conceptualized as resulting from chronic workplace stress that has not been successfully managed. This study aims to create the Korean version burnout syndrome scale (KBOSS) that conforms to WHO's definition of BOS and present the cut-off points for screening. Methods: We developed the KBOSS based on WHO's definition of BOS. An online survey was conducted through a specialized online research company. We recruited 444 workers for this research. The validity of the KBOSS was assessed using factor analysis and Pearson's correlation. The KBOSS reliability was assessed using Cronbach's alpha coefficient. The cut-off points for each of the three dimensions were derived using the upper quartile score. Results: The validity and reliability of the KBOSS were good. Regarding reliability, the scale's overall Cronbach's alpha was 0.813. Cronbach's alpha of each three-dimension was as follows: exhaustion, 0.916; cynicism, 0.865; and professional inefficacy, 0.819. The cut-off points of BOS three dimensions are exhaustion S 21; cynicism S 18; and inefficacy S 15. Conclusion: The developed questionnaire (KBOSS) can be a useful tool for screening of BOS.

A Study on the CEO Reputation on Organizational Favorability and Purchase Intention (CEO평판이 조직 호감도와 구매의도에 미치는 영향 연구)

  • Moon, Hyojin;Chang, Woosung
    • The Journal of the Convergence on Culture Technology
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    • v.8 no.6
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    • pp.295-302
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    • 2022
  • This study intends to apply the concept of reputation as a tool to positively build an evaluation of the CEO, the CEO of a company. It aims to develop tools to manage the reputation of the CEO and empirically explore the value of the tools use. As a result of the study, reliability, customer management, strategic vision, employee management, and social responsibility were derived as the constituent factors of CEO reputation, and it was confirmed that the relationship between CEO reputation and organizational favorability was statistically causal. Furthermore, the relationship between CEO reputation and product purchase intention was also statistically significant. It was confirmed that if the CEO's reputation was positively managed, it could help the stakeholders to evaluate the company to which the CEO belongs, as well as to purchase the products provided by the company. One of the ways to be well-received by various stakeholders in a corporate environment where uncertainty is intensifying is a reputation management system for CEOs, and CEOs themselves should recognize that their reputation can affect the organization and pay attention to reputation management.

Development of a Multiplex PCR for Simultaneous Detection of Blueberry Red Ringspot Virus and Blueberry Scorch Virus Including an Internal Control

  • Hae Min Lee;Eun Gyeong Song;Ki Hyun Ryu
    • Research in Plant Disease
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    • v.29 no.1
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    • pp.94-99
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    • 2023
  • Blueberry red ringspot virus (BRRSV) and blueberry scorch virus (BlScV) are included in the quarantine virus list managed by the Korean Animal and Plant Quarantine Agency. A multiplex polymerase chain reaction (PCR) assay with an internal control was developed for the simultaneous detection of both viruses. The specific primers used here were designed based on the highly conserved regions of the genomic sequences of each virus, obtained from the National Center for Biotechnology Information nucleotide databases. The primers were designed to amplify a partial sequence within coat protein (CP) for detecting BRRSV and a partial sequence within the CP-16 kDa for detecting BlScV. 18S ribosomal RNA (rRNA) was used as internal control, and the primer set used in a previous study was modified in this study for detecting 18S rRNA. Each conventional PCR using the BRRSV, BlScV, and 18S rRNA primers exhibited a sensitivity of approximately 1 fg plasmid DNA. The multiplex PCR assay using the BRRSV, BlScV, and 18S rRNA primers was effective in simultaneously detecting the two viruses and 18S rRNA with a sensitivity of 1 fg plasmid DNA, similar to that of conventional PCR assays. The multiplex PCR assay developed in this study was performed using 14 blueberry cultivars grown in South Korea. BRRSV and BlScV were not detected, but 18S rRNA was all detected in all the plants tested. Therefore, our optimized multiplex PCR assay could simultaneously detect the two viruses and 18S rRNA in field samples collected from South Korea in a time-efficient manner. This approach could be valuable in crop protection and plant quarantine management.

Improvement of SOC Structure Automated Measurement Analysis Method through Probability Analysis of Time-History Data (시계열 데이터의 확률분석을 통한 SOC 구조물 자동화계측 분석기법 개선)

  • Jung-Youl Choi;Dae-Hui Ahn;Jae-Min Han;Jee-Seung Chung;Jung-Ho Kim;Bong-Chul Joo
    • The Journal of the Convergence on Culture Technology
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    • v.9 no.1
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    • pp.679-684
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    • 2023
  • Currently, large-scale and deep-depth excavation construction is being carried out in the vicinity of structures due to overdensity in urban areas in Korea. It is very important to secure the safety of retaining structures and underground structures for adjacent excavation work in urban areas. The safety of facilities is managed by introducing an automated measurement system. However, the utilization of the results of the automated measurement system is very low. Conventional evaluation techniques rely only on the maximum value of the measured data, and can overestimate abnormal behavior. In this study, we intend to improve the analysis technique for the automation measurement results. In order to identify abnormal behavior of facilities, a time-series analysis method for automated measurement data was presented. By applying a probability statistical analysis technique to a vast amount of data, highly reliable results were derived. In this study, the analysis method and evaluation method that can process the vast amount of data of facilities have been improved.

CNN and SVM-Based Personalized Clothing Recommendation System: Focused on Military Personnel (CNN 및 SVM 기반의 개인 맞춤형 피복추천 시스템: 군(軍) 장병 중심으로)

  • Park, GunWoo
    • The Journal of the Convergence on Culture Technology
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    • v.9 no.1
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    • pp.347-353
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    • 2023
  • Currently, soldiers enlisted in the military (Army) are receiving measurements (automatic, manual) of body parts and trying on sample clothing at boot training centers, and then receiving clothing in the desired size. Due to the low accuracy of the measured size during the measurement process, in the military, which uses a relatively more detailed sizing system than civilian casual clothes, the supplied clothes do not fit properly, so the frequency of changing the clothes is very frequent. In addition, there is a problem in that inventory is managed inefficiently by applying the measurement system based on the old generation body shape data collected more than a decade ago without reflecting the western-changed body type change of the MZ generation. That is, military uniforms of the necessary size are insufficient, and many unnecessary-sized military uniforms are in stock. Therefore, in order to reduce the frequency of clothing replacement and improve the efficiency of stock management, deep learning-based automatic measurement of body size, big data analysis, and machine learning-based "Personalized Combat Uniform Automatic Recommendation System for Enlisted Soldiers" is proposed.

Analysis of the COVID-19 Pandemic-Driven Effect Changes of Quality Factors on Customer Satisfaction in Korean Police Civil Affairs Service (COVID-19 유행에 따른 한국 경찰 민원 서비스 고객 만족도에 대한 품질 요인의 영향력 변화 분석)

  • Yeo, Seon-Kwan;Lee, Jong-Hyuk;Choi, Won-Jun;Kim, Ki-Hun
    • Journal of Korean Society for Quality Management
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    • v.51 no.1
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    • pp.67-78
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    • 2023
  • Purpose: The purpose of this study is to investigate the COVID-19 pandemic-driven effect changes of quality factors on customer satisfaction in Korean Police Civil Affairs Service. Methods: This study fitted a regression model to the data collected by Korean National Police Agency from 2019 (before COVID-19 pandemic) to 2020 (during COVID-19 pandemic). In order to simultaneously estimate the effects of major seven quality factors on customer satisfaction for 'before the pandemic' and for 'during the pandemic', the regression model included not only customer satisfaction as the dependent variable, but also the fourteen independent variables consisting of the seven quality factors and their seven interaction terms. The interaction terms were defined by multiplying each quality factor by a dummy variable indicating either before or during the pandemic. Therefore, the coefficient estimates of the interaction terms indicate the changes of their corresponding quality factor effects on customer satisfaction between before and during the pandemic. The double bootstrap method was applied to test the significance of coefficient estimates. Results: Both before and during the pandemic, all quality factors had positive effects on customer satisfaction. However, these effects changed differently from before to during the pandemic: (increased) supportability, sincerity, and convenience; (decreased) integrity, professionalism, and fairness; (unchanged) promptness. Conclusion: This study found that the pandemic caused significant effect changes of quality factors on customer satisfaction in Korean Police Civil Affairs Service. This finding suggests the necessity of carefully monitoring such effect changes to effectively and efficiently improve customer satisfaction. This study also identified that from before to during the pandemic, supportability, sincerity, and convenience become more important and hence, need to be better managed.

A Study on Optimal Ventilation Design for Gas Boxes Installed in Semiconductor Manufacturing Equipment Handling Flammable Liquids (인화성 가스를 취급하는 반도체 제조장비에 설치된 가스박스 최적 환기 설계에 대한 연구)

  • Gyu Sun Cho;Sang Ryung Kim;Won Baek Yang
    • Journal of the Korean Institute of Gas
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    • v.27 no.1
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    • pp.63-69
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    • 2023
  • Although Korea is the world's No. 1 semiconductor producing country, most studies are conducted with risk assessment for simple material risks due to the closedness of the site for industrial protection. In terms of industrial safety, a monitoring system such as a gas detector to determine the leakage of hazardous substances has been established, but research on effectively discharging harmful gastritis substances in case of leakage has only recently begun. Semiconductor manufacturing facilities (gas boxes) where a large amount of flammable materials are handled are currently being safety managed by using a gas detector and blocking the air inlet. It is difficult to dilute in a short time in case of leakage of flammable substances. Therefore, in this study, based on various criteria, the size of the duct according to the size of the gas box is determined and the appropriate size of the air inlet is studied to minimize the exhaust performance requirement without exposing hazardous chemicals to the outside in the event of a flammable leak. We want to do an optimal exhaust design.

Analysis of meal hygiene management items in children's foodservice facilities in Anyang area (안양지역 어린이급식소의 급식 위생관리 항목 분석)

  • Hye Won Kim;Jae Eun Pie
    • The Journal of the Convergence on Culture Technology
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    • v.9 no.3
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    • pp.37-47
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    • 2023
  • In this study, the main items to be improved were identified with children's foodservice facilities in Anyang area, which have remained at low hygiene management levels for three years from 2019. The grades were divided into the Sprout groups if the previous level of meal hygiene management insufficient, and the Fruit groups if excellent. As a result, there were various items with low scores depending on the grade in facilities and the timing. Throughout the three years, the Sprout group had lower scores of all six areas than the Fruit group, and in particular, the score of 'preservation meals' was the lowest. In conclusion, it is necessary to recognize that meal hygiene management items to be improved are different from each grade in facilities, identify items to be thoroughly managed in advance, and provide appropriate guidance.

Joint Reasoning of Real-time Visual Risk Zone Identification and Numeric Checking for Construction Safety Management

  • Ali, Ahmed Khairadeen;Khan, Numan;Lee, Do Yeop;Park, Chansik
    • International conference on construction engineering and project management
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    • 2020.12a
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    • pp.313-322
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    • 2020
  • The recognition of the risk hazards is a vital step to effectively prevent accidents on a construction site. The advanced development in computer vision systems and the availability of the large visual database related to construction site made it possible to take quick action in the event of human error and disaster situations that may occur during management supervision. Therefore, it is necessary to analyze the risk factors that need to be managed at the construction site and review appropriate and effective technical methods for each risk factor. This research focuses on analyzing Occupational Safety and Health Agency (OSHA) related to risk zone identification rules that can be adopted by the image recognition technology and classify their risk factors depending on the effective technical method. Therefore, this research developed a pattern-oriented classification of OSHA rules that can employ a large scale of safety hazard recognition. This research uses joint reasoning of risk zone Identification and numeric input by utilizing a stereo camera integrated with an image detection algorithm such as (YOLOv3) and Pyramid Stereo Matching Network (PSMNet). The research result identifies risk zones and raises alarm if a target object enters this zone. It also determines numerical information of a target, which recognizes the length, spacing, and angle of the target. Applying image detection joint logic algorithms might leverage the speed and accuracy of hazard detection due to merging more than one factor to prevent accidents in the job site.

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Association of heavy metal complex exposure and neurobehavioral function of children

  • Minkeun Kim;Chulyong Park;Joon Sakong;Shinhee Ye;So young Son;Kiook Baek
    • Annals of Occupational and Environmental Medicine
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    • v.35
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    • pp.23.1-23.14
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    • 2023
  • Background: Exposure to heavy metals is a public health concern worldwide. Previous studies on the association between heavy metal exposure and neurobehavioral functions in children have focused on single exposures and clinical manifestations. However, the present study evaluated the effects of heavy metal complex exposure on subclinical neurobehavioral function using a Korean Computerized Neurobehavior Test (KCNT). Methods: Urinary mercury, lead, cadmium analyses as well as symbol digit substitution (SDS) and choice reaction time (CRT) tests of the KCNT were conducted in children aged between 10 and 12 years. Reaction time and urinary heavy metal levels were analyzed using partial correlation, linear regression, Bayesian kernel machine regression (BKMR), the weighted quantile sum (WQS) regression and quantile G-computation analysis. Results: Participants of 203 SDS tests and 198 CRT tests were analyzed, excluding poor cooperation and inappropriate urine sample. Partial correlation analysis revealed no association between neurobehavioral function and exposure to individual heavy metals. The result of multiple linear regression shows significant positive association between urinary lead, mercury, and CRT. BMKR, WQS regression and quantile G-computation analysis showed a statistically significant positive association between complex urinary heavy metal concentrations, especially lead and mercury, and reaction time. Conclusions: Assuming complex exposures, urinary heavy metal concentrations showed a statistically significant positive association with CRT. These results suggest that heavy metal complex exposure during childhood should be evaluated and managed strictly.