• 제목/요약/키워드: Current imbalance

검색결과 209건 처리시간 0.035초

해양수산 분야 인력양성 실태와 개선방안 연구 (Human Resource Training and Development in the Korean Marine and Fisheries Sector : Current Status, Prospects, and Recommendations)

  • 박광서;김주현;김지혜;이정민;이선량
    • 한국해양환경ㆍ에너지학회지
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    • 제20권1호
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    • pp.45-54
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    • 2017
  • 최근 취업애로 계층이 100만명을 넘어서는 등청년 고용의 어려움이 지속되고 있다. 해양수산 분야도 예외가 아니어서 수요 측면에서는 우수한 인재 부족으로, 공급 측면에서는 양질의 일자리 부족으로 인력 수급 상의 미스매치가 발생하고 있다. 미스매치는 양적인 면도 중요하지만 질적인 측면이 더욱 중요하다. 이러한 문제를 해소하기 위해서는 현장과 미래 수요에 부응한 전문인력을 집중적으로 양성하고, 실습장비 등과 같은 교육 인프라와 교원의 역량 강화, 산학연 협력 체계 구축 등이 필요하다. 나아가 학교교육에서 재교육까지 아우르는 인력양성 통합관리 시스템을 구축하고 일반 국민의 해양수산에 대한 이미지 제고를 위한 사업들이 추진되어야 한다.

The Factorial Structure and Psychometric Properties of the Persian Effort-Reward Imbalance Questionnaire

  • Babamiri, Mohammad;Siegrist, Johannes;Zemestani, Mehdi
    • Safety and Health at Work
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    • 제9권3호
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    • pp.334-338
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    • 2018
  • Background: With global changes in the current state of work and employment, the role of health-adverse psychosocial work environments has received increasing attention in developed as well as in rapidly developing countries. Thus, there is a need to apply valid measurement tools for monitoring and preventive purposes. This study aims to examine the factorial structure and psychometric properties of the Persian version of the effort-reward imbalance (ERI) questionnaire, assessing one of the internationally leading concepts of stressful work. Methods: This descriptive cross-sectional study of a random sample of 202 white collar employees in an industrial company in Iran analyzes the ERI scales by exploratory and confirmatory factor analysis. Moreover, aspects of construct and criterion validity are tested. To this end, correlations of ERI scales with subscales of organizational injustice, a complementary work stress model, and also the correlations of ERI scales with a questionnaire assessing psychosomatic symptoms are performed. Results: Internal consistency of the three ERI scales was satisfactoryy (Cronbach ${\alpha}$ effort: 0.76, reward: 0.79, overcommitment: 0.75). Fit indices of confirmatory factor analsis pointed to an adequate representation of the theoretical construct (e.g., adjusted goodness of fit index (AGFI): 0.73, goodness of fit index (GFI): 0.78). Negative correlations with subscales of organizational injustice supported the notion of construct validity of the ERI scales, and positive correlations of ERI scales with psychosomatic symptoms indicated preliminary criterion validity. Conclusion: The Persian version of the ERI questionnaire has acceptable psychometric properties and can be used as a valid instrument in research on this topic.

타워크레인 텔레스코핑 작업의 풍속 및 하중에 대한 구조 안전성 연구 (A Study on the Structural Safety of Tower Crane Telescoping Work according to Wind Speed and Load)

  • 정성룡;이도근;백신원;신상연
    • 한국안전학회지
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    • 제36권1호
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    • pp.9-17
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    • 2021
  • This study analyses the load imbalance of the tower crane used in telescoping work for structural safety, owing to the difference in wind speed and balance weight position. This is because wind speed and position of the balance weight have a significant impact on the structural stresses of a tower crane during telescoping work. Therefore, structural analysis was performed on the 290HC model, which is often used at construction sites and has only one cylinder installed. Moreover, two models were classified to determine the load acting on the connecting part of the telescopic cage to slewing platform and the cylinder. Five types of balance weight positions were applied at regular intervals from jibs; moreover, four types of wind load criteria were differently applied. Hence, the telescopic cage columns were destroyed at all balance weight positions at a wind speed of 30 m/s and only at certain locations at a wind speed of 20 m/s. Furthermore, failures occurred for cylinders, torsional, and bending at wind speeds of 30 m/s and 20 m/s, load imbalances above the allowable thresholds considering the safety factor. In addition, the load imbalance in the telescoping work also varied depending on the position of the balance weights. The results of these studies have validated that the current standards of adjusting the appropriate position of the balance weights on the jib are completely valid, with the telescoping work to be executed only at wind speeds of less than equal to 10 m/s.

불균형 데이터를 갖는 냉동 컨테이너 고장 판별 및 원인 분석을 위한 기계학습 모형 개발 (Development of machine learning model for reefer container failure determination and cause analysis with unbalanced data)

  • 이희원;박성호;이승현;이승재;이강배
    • 한국융합학회논문지
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    • 제13권1호
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    • pp.23-30
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    • 2022
  • 냉동 컨테이너의 고장은 큰 비용의 손실을 야기하지만, 현재 냉동 컨테이너의 알람 체계는 효율성이 떨어진다. 기존에 냉동 시스템의 시뮬레이션 데이터를 활용한 연구는 존재하지만, 냉동 컨테이너의 실제 운영 데이터를 활용한 연구는 부족하다. 이에 본 연구는 실제 냉동 컨테이너 운영 데이터를 활용하여 고장 원인을 분류하였다. 실제 데이터에서는 데이터 불균형이 발생하였으며 ENN-SMOTE, 클래스 가중치를 둔 Logistic 회귀분석과 본 연구에서 개발한 2-stage 알고리즘을 비교하여 데이터 불균형문제를 해결하였다. 2-stage 알고리즘은 XGboost, LGBoost, DNN을 사용하여 첫 번째 단계에서는 고장 및 정상을 분류하고, 두 번째 단계에서는 고장의 원인을 분류하는 알고리즘이다. 2-stage 알고리즘에서 LGBoost를 사용한 모델이 99.16%의 정확도로 가장 우수하였다. 본 연구는 데이터 불균형을 해결하기 위해 2-stage 알고리즘을 활용한 최종모델을 제안하며 이는 다른 산업에도 활용할 수 있을 것으로 사료된다.

메탈부쉬 누락예방을 위한 데이터마이닝 기법의 적용 및 비교 (Application and Comparison of Data Mining Technique to Prevent Metal-Bush Omission)

  • 고상현;이동주
    • 산업경영시스템학회지
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    • 제46권3호
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    • pp.139-147
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    • 2023
  • The metal bush assembling process is a process of inserting and compressing a metal bush that serves to reduce the occurrence of noise and stable compression in the rotating section. In the metal bush assembly process, the head diameter defect and placement defect of the metal bush occur due to metal bush omission, non-pressing, and poor press-fitting. Among these causes of defects, it is intended to prevent defects due to omission of the metal bush by using signals from sensors attached to the facility. In particular, a metal bush omission is predicted through various data mining techniques using left load cell value, right load cell value, current, and voltage as independent variables. In the case of metal bush omission defect, it is difficult to get defect data, resulting in data imbalance. Data imbalance refers to a case where there is a large difference in the number of data belonging to each class, which can be a problem when performing classification prediction. In order to solve the problem caused by data imbalance, oversampling and composite sampling techniques were applied in this study. In addition, simulated annealing was applied for optimization of parameters related to sampling and hyper-parameters of data mining techniques used for bush omission prediction. In this study, the metal bush omission was predicted using the actual data of M manufacturing company, and the classification performance was examined. All applied techniques showed excellent results, and in particular, the proposed methods, the method of mixing Random Forest and SA, and the method of mixing MLP and SA, showed better results.

Comprehensive Coordinated Control Strategy of Virtual Synchronous Generators under Unbalanced Power Grid

  • Wang, Shuhuan;Han, Li;Chen, Kai
    • Journal of Power Electronics
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    • 제19권6호
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    • pp.1554-1565
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    • 2019
  • When grid voltage is unbalanced, the grid-connected output current and power of Virtual Synchronous Generators (VSGs) are distorted and quadratic. In order to improve the power quality of a grid connected to a VSG when the grid voltage is unbalanced, a comprehensive coordinated control strategy is proposed. The strategy uses the positive sequence current reference command obtained by a VSG in the balanced current control mode to establish a unified negative sequence current reference command analytical expression for the three objectives of current balance, active power constant and reactive power constant. In addition, based on the relative value of each target's volatility, a comprehensive wave function expression is established. By deriving the comprehensive wave function, the corresponding negative sequence current reference value is obtained. Therefore, the VSG can achieve the minimum comprehensive fluctuation under the premise that the three targets meet the requirements of grid connection, and the output power quality is improved. The effectiveness of the proposed control strategy is verified by simulation and experimental results.

태양광 발전 시스템의 120Hz 리플 전압 영향 감소를 통한 DC-Link 소형화와 출력 전류 왜곡률 감소에 관한 연구 (A Study on the DC-Link Miniaturization and the Reduction of Output Current Distortion Rate by Reducing the Effect of 120 Hz Ripple Voltage on Photovoltaic Systems)

  • 송민근;이우철
    • 전력전자학회논문지
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    • 제26권5호
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    • pp.342-348
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    • 2021
  • The PV module of solar power systems requires maximum power point tracking (MPPT) technique because the power-voltage and current-voltage characteristics vary depending on the surrounding environment. In addition, the 120 Hz ripple voltage on the DC-Link is caused by the imbalance of the system voltage and current. The effect of this 120 Hz ripple voltage reduces the efficiency of the power generation system by increasing the output current distortion rate. Increasing the capacity of DC-Link can reduce the 120 Hz ripple voltage, but this method is inefficient in price and size. We propose a technique that detects 120 Hz ripple voltage and reduces the effect of ripple voltage without increasing the DC-Link capacity through a controller. The proposed technique was verified through simulations and experiments using a 1 kW single-phase solar power system. In addition, the proposed technique's feasibility was demonstrated by reducing the distortion rate of the output current.

Crack Detection Method for Tunnel Lining Surfaces using Ternary Classifier

  • Han, Jeong Hoon;Kim, In Soo;Lee, Cheol Hee;Moon, Young Shik
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제14권9호
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    • pp.3797-3822
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    • 2020
  • The inspection of cracks on the surface of tunnel linings is a common method of evaluate the condition of the tunnel. In particular, determining the thickness and shape of a crack is important because it indicates the external forces applied to the tunnel and the current condition of the concrete structure. Recently, several automatic crack detection methods have been proposed to identify cracks using captured tunnel lining images. These methods apply an image-segmentation mechanism with well-annotated datasets. However, generating the ground truths requires many resources, and the small proportion of cracks in the images cause a class-imbalance problem. A weakly annotated dataset is generated to reduce resource consumption and avoid the class-imbalance problem. However, the use of the dataset results in a large number of false positives and requires post-processing for accurate crack detection. To overcome these issues, we propose a crack detection method using a ternary classifier. The proposed method significantly reduces the false positive rate, and the performance (as measured by the F1 score) is improved by 0.33 compared to previous methods. These results demonstrate the effectiveness of the proposed method.

골개형(Bone Remodelling)의 분자생물학적 기전에 대한 노화, 에스트로젠 및 산화적 스트레스의 영향 (Effects of Estrogen, Aging and Oxidative Stress on Bone Remodelling in a View of Molecular Mechanisms)

  • 박영철;고영도;한정호;김미경
    • Toxicological Research
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    • 제22권3호
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    • pp.253-266
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    • 2006
  • Bone is a dynamic tissue that is constantly being remodelled. Resolution of bone and formation of new bone are closely linked, so that bone mass remains constant. With age, this process becomes unlinked with an imbalance in bore resorption and formation that results in a net loss of bone. Especially, osteoporosis is a disease characterized by low bone mass with age. One form of aging-related primary osteoporosis is postulated with the reduction of circulating estrogen, rapid bone loss occurs as a result of enhanced bore remodelling with an excess of resorption over bore formation. The oxidative stress is also involved in the pathogenesis of osteoporosis. Oxidative stress by cytokines, such as IL-a and TNF-${\alpha}$, inhibits osteoblast function in vitro and stimulates osteoblast apoptosis resulting in an imbalance in bore remodelling. The present article reviews the current perspectives on the interaction between bone remodelling and factors such as estrogen and oxidative stress, providing an interpretation of bone diseases in a view of molecular mechanisms.

KNN-Based Automatic Cropping for Improved Threat Object Recognition in X-Ray Security Images

  • Dumagpi, Joanna Kazzandra;Jung, Woo-Young;Jeong, Yong-Jin
    • 전기전자학회논문지
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    • 제23권4호
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    • pp.1134-1139
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    • 2019
  • One of the most important applications of computer vision algorithms is the detection of threat objects in x-ray security images. However, in the practical setting, this task is complicated by two properties inherent to the dataset, namely, the problem of class imbalance and visual complexity. In our previous work, we resolved the class imbalance problem by using a GAN-based anomaly detection to balance out the bias induced by training a classification model on a non-practical dataset. In this paper, we propose a new method to alleviate the visual complexity problem by using a KNN-based automatic cropping algorithm to remove distracting and irrelevant information from the x-ray images. We use the cropped images as inputs to our current model. Empirical results show substantial improvement to our model, e.g. about 3% in the practical dataset, thus further outperforming previous approaches, which is very critical for security-based applications.