• The Transactions of The Korean Institute of Electrical Engineers
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• v.65 no.11
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• pp.1931-1936
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• 2016

In this paper, we analyzed causes of accidents that recently increased in the illegal and defective LED lamps. They were analyzed by the electrical characteristics calculation and reappearance experiments. The causes of the accidents were analyzed from the circuit affected by the variation of voltage, current and power by harmonics. We drew a conclusion for electrical safety in illegal or degraded LED lamps from the analysis result. The management factors for electrical safety in LED lamps were harmonics, reactive power and power factor. It is possible to secure the electrical safety through monitoring of power factor in failure products and available in smart meters or smart distribution boards.

• Journal of Construction Engineering and Project Management
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• v.3 no.3
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• pp.35-41
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• 2013

All infrastructure projects are said to be inter-dependent, uncertain and labour-intensive in nature. There is no exception for building services sub sector. For a real time project such as 'The construction, extension and refurbishment of Employees' State Insurance Corporation (ESIC) Hospital at Tirupathy, India with total area of 45,000 square feet at an estimated cost of 1100 million rupees, a generic process model is developed to simulate the effect of set of identified variables on construction project. The 'Stocks and Flows' of dynamic model affords relevant insights to project managers, who apply this knowledge when designing better performance through more appropriate project planning. It is concluded from the model-based approach that building services works can be improved through specific better focussed managerial efforts, such as an increasing coordination effectiveness at the planning stage, clarifying prerequisite conditions prior to installations. Otherwise, pending works arising from work clashes can lead to knock-on effects resulting in productivity constraints and pressures, as well as more rework and demolition. Current study reveals that the model enables deep insight into various interdependent processes, their by improving construction performance levels, by addressing the dynamics of design errors and defective works, and recovering delayed schedule.

• Journal of the Korean Society of Food Culture
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• v.12 no.4
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• pp.401-409
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• 1997

The purpose of this study was to investigate the current foodservice management practices of children care social welfare facilities. Questionnaire were sent to the directors of all 275 children welfare facilities in Korea and 107 returned facilities in korea and 107 returned the complete answers. These questionnaire were answered by manager. Equipments were evaluated by investigators using the evaluation form. staffing structure revealed that most of the facilities had a director, a secretary, nurse, but only 15% of the system hired a dietitian. It showed the shortage of nurse, physical therapists, and dietitian. Therefore, food purchasing, menu planning, food delivery, and the other food service management processes are handled by non-professionals, such as director, secretary, or cooks. Food purchasing money of total budget is $10{\sim}20%$. Food purchasing place in most facilities was market place. Foodstuffs were almost purchased $2{\sim}3$ per weeks. 90% of the welfare facilities were used the menu. Modified food frequency questionnaire were used to get the frequencies of each food items used in menu. The results showed relatively satisfactory in food frequencies, however, this was about what was used in menu, not vat was eaten by the residents. conditions of most equipments in the kitchen were defective specially in dishwashing and sterilization step.

• Journal of the Semiconductor & Display Technology
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• v.16 no.3
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• pp.121-126
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• 2017

EES System support to maximize equipment efficiency by providing real-time information of main equipment which has a significant effect on product quality and productivity, and to prevent equipment failure by detecting equipment abnormality in advance. Smart Equipment Engineering System(S-EES) integrates the activities performed at equipment that are the core of production activities and manages them by system so as to maximize the efficiency of equipment and raise the quality level of products to one level. In other words, when the product is put into the equipment, the recipe is downloaded through the RMS, the recipe is set to the optimal condition through R2R(process control), and the system detects and controls the abnormality of the equipment during operation through the FDC function in real time it means. In this way, we are working with the suitable recipe that matches the lot of product, detecting the abnormality of the equipment during operation, preventing the product from being defective, and establishing a system to maximize the efficiency through real-time equipment management. In this study, we review the present status and problems of equipment management in actual production lines, collect the requirements of the manufacturing line for the PCB line, design and develop the system, The measurement model was studied.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.41 no.2
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• pp.56-64
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• 2018

In recent years, imbalanced data is one of the most important and frequent issue for quality control in industrial field. As an example, defect rate has been drastically reduced thanks to highly developed technology and quality management, so that only few defective data can be obtained from production process. Therefore, quality classification should be performed under the condition that one class (defective dataset) is even smaller than the other class (good dataset). However, traditional multi-class classification methods are not appropriate to deal with such an imbalanced dataset, since they classify data from the difference between one class and the others that can hardly be found in imbalanced datasets. Thus, one-class classification that thoroughly learns patterns of target class is more suitable for imbalanced dataset since it only focuses on data in a target class. So far, several one-class classification methods such as one-class support vector machine, neural network and decision tree there have been suggested. One-class support vector machine and neural network can guarantee good classification rate, and decision tree can provide a set of rules that can be clearly interpreted. However, the classifiers obtained from the former two methods consist of complex mathematical functions and cannot be easily understood by users. In case of decision tree, the criterion for rule generation is ambiguous. Therefore, as an alternative, a new one-class classifier using hyper-rectangles was proposed, which performs precise classification compared to other methods and generates rules clearly understood by users as well. In this paper, we suggest an approach for improving the limitations of those previous one-class classification algorithms. Specifically, the suggested approach produces more improved one-class classifier using hyper-rectangles generated by using Gaussian function. The performance of the suggested algorithm is verified by a numerical experiment, which uses several datasets in UCI machine learning repository.

• Journal of Intelligence and Information Systems
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• v.28 no.3
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• pp.139-159
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• 2022

As interest in health functional foods has increased since COVID-19, the importance of imported food safety inspections is growing. However, in contrast to the annual increase in imports of health functional foods, the budget and manpower required for inspections for import and export are reaching their limit. Hence, the purpose of this study is to propose a machine learning model that efficiently detects unsuitable food suitable for the characteristics of data possessed by government offices on imported food. First, the components of food import/export inspections data that affect the judgment of nonconformity were examined and derived variables were newly created. Second, in order to select features for the machine learning, class imbalance and nonlinearity were considered when performing exploratory analysis on imported food-related data. Third, we try to compare the performance and interpretability of each model by applying various machine learning techniques. In particular, the ensemble model was the best, and it was confirmed that the derived variables and models proposed in this study can be helpful to the system used in import/export inspections.

• Korean Journal of Construction Engineering and Management
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• v.11 no.6
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• pp.45-53
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• 2010

Safety management for building deconstruction works has been received extremely limited attention in the domestic construction society. Lack of systematic safety management practices and defective education system lead to the high level of fatality compared to that of advanced countries. Under the above domestic deconstruction environment, the authors intend to develope an integrated safety management guidelines that covers both mechanical and partial deconstruction works. Research outcome includes such specific educational materials as safety manual, checklists, pocket pamphlets, and e-manuals. Furthermore, to validate the applicability of the above materials, questionnaire survey and interviews were conducted. Detailed descriptions are provided for each research outcome.

• Journal of Applied Reliability
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• v.15 no.3
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• pp.176-180
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• 2015

A defect on the product safety display is defined by a failure to prevent the damage caused by the inappropriate explanation, direction, and caution to warn the users of the related risks. In other words, it lacks the sufficient instructions or caution for proper use and is unable to furnish the possible danger of the product and the instructions to deal with it. The defect is the responsibility of the manufacturers who are supposed to provide the adequate information so as to prevent injuries of the users. However, in order to prove the product safety display defective, there should be a comprehensive consideration in many different ways such as social norms (such as property and expectation of the product), usage form, indication of the expected risk, and awareness of consumer about the harm and possibility of avoidance of danger. The purpose of this research is to propose the content and types of standardized indication of safety in the industrial product by collecting and analyzing domestic safety information.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2004.05b
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• pp.72-77
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• 2004

The purpose of this study is to develop temperature measurement system with Rf sensors on shoes dry process. The experimental results showed that the developed system successfully could be applied on real dry process to reduce defective shoes caused from insufficient dry with scientific data management.

• Journal of the Korean Society of Systems Engineering
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• v.17 no.2
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• pp.1-8
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• 2021

This study proposes a systems engineering approach for the development of an advanced planning & scheduling (APS) system for a cosmetic case manufacturing factory. The APS system makes production plans and schedules based on the injection process, which consists of 27 plastic injection machines in parallel to control recommended inventory of products. The system uses machine operation/failure information and defective product/work-in-process tracking information to support intelligent scheduling. Furthermore, a genetic algorithm model is applied to handle the complexity of heuristic rules and machine/quality constraints in this process. As a result of the development, the recommended inventory compliance rate is improved by scheduling the 30-day production plan for 15 main products.