• Industrial Engineering and Management Systems
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• v.7 no.2
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• pp.113-125
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• 2008

This paper presents a model for designing cellular manufacturing systems (CMS) by integrating system cost, machine reliability, and preventive maintenance (PM) planning. In a CMS, a part is processed using alternative process routes, each consisting of a sequence of visits to machines. Thus, a level of 'system reliability' is associated with the machines along the process route assigned to a part type. Assuming machine reliabilities to follow the Weibull distribution, the model assigns the machines to cells, and selects, for each part type, a process route which maximizes the overall system reliability and minimizes the total costs of manufacturing operations, machine underutilization, and inter-cell material handling. The model also incorporates a reliability based PM plan and an algorithm to implement the plan. The algorithm determines effective PM intervals for the CMS machines based on a group maintenance policy and thus minimizes the maintenance costs subject to acceptable machine reliability thresholds. The model is a large mixed integer linear program, and is solved using LINGO. The results point out that integrating PM in the CMS design improves the overall system reliability markedly, and reduces the total costs significantly.

• Journal of the Korea Safety Management & Science
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• v.1 no.1
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• pp.159-169
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• 1999

This paper applies the Analytic Hierarchy Process(AHP) to analyzing the causes and countermeasures of the accidents by the dangerous machines. The AHP is the decision supporting tool considering several objectives and criteria, and synthesizing a number of decision makers' opinions to find the best alternative. It has the merit to be able to consider not only quantitative factors but also qualitative factors. Because this paper focuses the thoughts of the workers about the dangerous factors in working space including machines, work environment and tools, the AHP is the most suitable method for this study. This study using the AHP can be used as useful tool analyzing the important causes of the accidents by the dangerous machines and deciding the urgent countermeasures.

• Proceedings of the Korea Inteligent Information System Society Conference
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• 2003.05a
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• pp.329-337
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• 2003

Stock market prediction is regarded as a challenging task of financial time-series prediction. There have been many studies using artificial neural networks in this area. Recently, support vector machines (SVMs) are regarded as promising methods for the prediction of financial time-series because they me a risk function consisting the empirical ewer and a regularized term which is derived from the structural risk minimization principle. In this study, I apply SVM to predicting the Korea Composite Stock Price Index (KOSPI). In addition, this study examines the feasibility of applying SVM in financial forecasting by comparing it with back-propagation neural networks and case-based reasoning. The experimental results show that SVM provides a promising alternative to stock market prediction.

• Proceedings of the KIPE Conference
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• 2000.07a
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• pp.456-459
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• 2000

Due to cost-effective and compact system design IPM-based inverters are now being seen as an attractive alternative to conventional discrete-based inverters technique for low power ac drives in particular such as washing machines refrigerators and air-conditioners. Fairchild-IPM newly developed in order to provide the advantages of the lowest cost and better performance is discussed and its specification is given.

• Journal of Veterinary Clinics
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• v.28 no.4
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• pp.408-414
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• 2011

This study was carried out to analyze the utilization of ultrasound machines in animal hospitals and focused on surveying the present condition of diagnostic ultrasound on veterinary medicine in South Korea. Total 279 veterinary hospitals were surveyed with e-mail questionnaires or telephone survey. E-mail questionnaires consist of 17 items of questions including existence of ultrasound machine, types of ultrasound machine, ultrasound examination costs, frequency, purposes, other diagnostic imaging equipments, and referring system of ultrasound. Telephone surveys asked about the existence of the ultrasound machine and types of the ultrasound machine to 279 animal hospitals. Two hundred and seventy-one out of 279 animal hospitals holds ultrasound machine. Seventy-two percents clinics purchased used ultrasonographic machines and mean years after the date of manufacture is 7.5 years and the proportion of superannuated machines are relatively high. Also many clinicians prefer single organ scanning rather than general scan technique and more than 60% of clinics perform ultrasonographic examination less than 5 times a week. Clinics located in Seoul area tend to have more expensive and brand-new ultrasonographic machines and the distribution of radiology specialist are higher in this area. Problems associated with the present condition were oversupply of machines, unequal distribution of the medical equipment in different localities, ineffective use of the medical equipment, and high percentage of old poor-quality medical equipments. There should be a viable alternative proposal to control amount and quality of the ultrasound machines. Also, the improved management system for the ultrasound machine is required.

• Journal of the Korea Safety Management & Science
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• v.17 no.4
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• pp.135-141
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• 2015

According to the statistics, occupational fatal injuries by mobile cranes were about 12 per year in whole industrial. Mobile cranes are widely used in various parts of industries to improve the efficiency of the work. However considerable number of fatal injuries happen each year during the operation of the machines. In this study, the current regulations to be adequate in industrial site have to be renew in order to prevent the fatal injuries by mobile cranes. Fatal injury analyses were conducted with several accident cases by the mobile cranes. For each accident, the causes of the injuries were examined and proper safety measures were proposed. In this study, the mobile crane showed a high fatality rate in industrial accidents and no detailed cause analysis of fatal accidents was conducted in terms of unsafe acts or conditions. This study proposed a revision of the standard guideline as an accident prevention measures through in-depth analysis of fatal accidents. First, among the mainly five machines caused the accidents, mobile crane was higher for the second showed 0.6% for number of fatalities compared to number of mobil cranes and for the third showed 11% for number of fatalities compared to number of injuries. Second, main cause of cognitive engineering agenda was visibility, responsibility, affordance. As the measures to prevent accidents before starting operation, alternative revision for the fool proof including visibility, responsibility, affordance etc. for the fool proof measures was proposed. Third, alternative revision as cognitive accident prevention for the fail safe measures was proposed.

• Journal of the Korean Society for Precision Engineering
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• v.30 no.6
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• pp.622-628
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• 2013

Due to the development of compounding technology, there is a considerable increase in the number of high performance rubbers in the world. Accordingly, there are rapid growing requests about high performance tires such as UHP tire and Run-flat tire. However, it is extremely difficult to investigate the friction coefficient of tire tread rubbers. An alternative solution must be developed with the reliability of high-speed linear friction test machines. The use of friction test machines can be expected to improve rubber friction researches. In this paper, we propose a new kind of high-speed linear friction test machine. We have designed and manufactured various mechanisms for friction tests. The final goals are to design and manufacture friction test machines that can investigate friction coefficients efficiently and rapidly. The performance of the proposed high-speed linear friction test machine is evaluated experimentally; however additional study should be necessary for safer and more reliable experimentation.

• Structural Monitoring and Maintenance
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• v.6 no.2
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• pp.125-145
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• 2019

Bridge scour is one of the predominant causes of bridge failure. Current climate deterioration leads to increase of flooding frequency and severity and thus poses a higher risk of bridge scour failure than before. Recent studies have explored extensively the vibration-based scour monitoring technique by analyzing the structural modal properties before and after damage. However, the state-of-art of this area lacks a systematic approach with sufficient robustness and credibility for practical decision making. This paper attempts to develop a data-driven methodology for bridge scour monitoring using support vector machines. This study extracts features from the bridge dynamic responses based on a generic sensitivity study on the bridge's modal properties and selects the features that are significantly contributive to bridge scour detection. Results indicate that the proposed data-driven method can quantify the bridge scour damage with satisfactory accuracy for most cases. This paper provides an alternative methodology for bridge scour evaluation using the machine learning method. It has the potential to be practically applied for bridge safety assessment in case that scour happens.

• Journal of international Conference on Electrical Machines and Systems
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• v.3 no.2
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• pp.169-175
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• 2014

This paper presents an improved direct power control (DPC) strategy for grid-connected voltage source inverter (VSI) under unbalanced and harmonic grid voltage conditions. Based on the mathematic model of VSI with the negative sequence, 5th and 7th harmonic voltage components consideration, a PI controller is used in the proposed DPC strategy to achieve the average output power regulation. Furthermore, vector PI controller with the resonant frequency tuned at the two times and six times grid fundamental frequency is adopted to regulate both negative and harmonic components, and then two alternative targets of the balanced/sinusoidal current and smooth active/reactive output power can be achieved. Finally, simulation results based on MATLAB validate the availability of the proposed DPC strategy.

• Journal of Korean Institute of Industrial Engineers
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• v.23 no.3
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• pp.581-595
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• 1997

The procedure of grouping the machines and parts to form cells is called manufacturing cell design. The manufacturing cell design is an important step in the development and implementation of advanced manufacturing systems. For the successful implementation of the manufacturing systems, identification of independent manufacturing cells, i.e., cells where parts are completely processed in the cell and no intercell movements, is necessary in the design phase. In this paper, we developed a mixed integer programming model and genetic algorithm based procedure to solve the independent manufacturing cells design problem considering the alternative process plans and machines duplication. Several manufacturing parameters such as, production volume, machine capacity, processing time, number of cells and cell size, are considered in the process. The model determines the process plan for parts, port families and machine cells simultaneously. The model has been verified with the numerical examples.