• 대한수학교육학회지:수학교육학연구
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• 제8권2호
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• pp.553-563
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• 1998

In this thesis, I examined Bruner's EIS theory from the viewpoint of epistemology based on Piaget's genetic epistemology. Although Bruner's ideal thought which insisted ‘to teach the structure’accepted Piaget's theory in the methodology of realization, it is different from Piaget in understanding knowledge. The difference is shown from understanding the meaning of ‘structure’. Piaget's concept of structure is something that has overcome the realistic viewpoint of the traditional epistemology and is reconstructed through endless self-regulative transformational process. However Bruner's is used as a realistic meaning as we can see in the Plato's recollection theory. Therefore Piaget's ‘stage of development’means the difference of structure which lies in the generative process and it includes the qualitive difference of level. On the other hand, Bruner, who is trying to translate and suggest the fixed structure to the children understood Piaget's stage of development as the difference in the ways of representation. Piaget's operational constructivism insists that the children should ‘construct’the knowledge through their activity, and especially in case of the lohico-mathematical recognition, the source should be internalized activity, that is, operation. In view of this assertion, Burner's idea which insists to accept the structure of knowledge as a fixed reality and to suggest the translated representation proper to the cognitive structure of the children to teach them, has a danger of emphasizing only the functional aspects to deliver the given knowledge ‘quickly’. And it also has the danger of damaging ‘the nature of the knowledge’in the translated knowledge.

• 대한전기학회:학술대회논문집
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• 대한전기학회 1997년도 하계학술대회 논문집 D
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• pp.1009-1011
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• 1997

This paper presents an optimization method which determines locations and size of capacitors simultaneously while minimizing power losses and improving voltage profile in radial distribution systems. Especially, the cost function associated with capacitor placement is considered as step function due to banks of standard discrete capacities. Genetic algorithms(GA) are used to obtain efficiently the solution of the cost function associated with capacitors which is non-continuous and non-differentiable function. The strings in GA consist of the node number index and size of capacitors to be installed. The length mutation operator, which is able to change the length of strings in each generation, is used. The proposed method which determines locations and size of capacitors simultaneously can reduce power losses and improve' voltage profile with capacitors of minimum size. Its efficiency is proved through the application in radial distribution systems.

• 대한한방소아과학회지
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• 제21권1호
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• pp.11-26
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• 2007

Objectives : The purpose of this study is to investigate the recent tendency of clinical researches of obese children for finding better oriental medicine treatments. Methods : This study was focused on diagnoses, treatments, prognoses and cures of obese children based on 37 of other papers which are J Korean Oriental Med, J Korean Oriental Pediatrics, J Korean Acd Fam Med, J Korean society for the study of obesity, Korea Sport Research, J Korean Academy of Pediatric Allergy and Respiratory Disease, J Korean Society for Health Education and Promotion, Korean J Pediatric, and Korean J Oriental Physiology and Pathology. Results : The rate of obese children has been increased continuously. There are several reasons for increased rate : For example, inadequate eating habit, lack of exercise, and genetic factors such as inherited diseases, and the disorder of the endocrine system. The obesity in childhood or adolescent can cause not only the physical problems but also the mental problems. It is necessary for children to diet, change life style, exercise continuously, and being active in order to prevent child obesity and keep healthy. Obesity can be treated through therapy diet, exercise, behavior modification, drug therapy and operation. Conclusion : It is important to recognize the children obesity, and make better treatments for that in the way of oriental cure. Moreover, additional reports should be keeping up based on continuing clinical researches.

• 제어로봇시스템학회논문지
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• 제6권1호
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• pp.104-111
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• 2000

A fuzzy logic Run-by-Run(RbR) controller and an in -line wafer characteristics prediction scheme for the rapid thermal processing system have been developed for the study of process repeatability. The fuzzy logic RbR controller provides a framework for controlling a process which is subject to disturbances such as shifts and drifts as a normal part of its operation. The fuzzy logic RbR controller combines the advantages of both fuzzy logic and feedback control. It has two components : fuzzy logic diagnostic system and model modification system. At first, a neural network model is constructed with the I/O data collected during the designed experiments. The wafer state after each run is assessed by the fuzzy logic diagnostic system with featuring step. The model modification system updates the existing neural network process model in case of process shift or drift, and then select a new recipe based on the updated model using genetic algorithm. After this procedure, wafer characteristics are predicted from the in-line wafer characteristics prediction model with principal component analysis. The fuzzy logic RbR controller has been applied to the control of Titanium SALICIDE process. After completing all of the above, it follows that: 1) the fuzzy logic RbR controller can compensate the process draft, and 2) the in-line wafer characteristics prediction scheme can reduce the measurement cost and time.

• 한국정보시스템학회지:정보시스템연구
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• 제25권1호
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• pp.159-182
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• 2016

Purpose This paper aims to develop a novel tabu search algorithm for solving the sequencing problems with precedence constraints. Due to constraints, the traditional meta heuristic methods can generate infeasible solutions during search procedure, which must be carefully dealt with. On the contrary, the candidate order based tabu search (COTS) is based on a novel neighborhood structure that guarantees the feasibility of solutions, and can dealt with a wide range of sequencing problems in flexible manner. Design/methodology/approach Candidate order scheme is a strategy for constructing a feasible sequence by iteratively appending an item at a time, and it has been successfully applied to genetic algorithm. The primary benefit of the candidate order scheme is that it can effectively deal with the additional constraints of sequencing problems and always generates the feasible solutions. In this paper, the candidate order scheme is used to design the neighborhood structure, tabu list and diversification operation of tabu search. Findings The COTS has been applied to the single machine job sequencing problems, and we can see that COTS can find the good solutions whether additional constraints exist or not. Especially, the experiment results reveal that the COTS is a promising approach for solving the sequencing problems with precedence constraints. In addition, the operations of COTS are intuitive and easy to understand, and it is expected that this paper will provide useful insights into the sequencing problems to the practitioners.

• Transactions on Electrical and Electronic Materials
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• 제18권3호
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• pp.169-175
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• 2017

A safe and reliable protection system in distribution networks, specifically, those hosting distribution generation units, needs a robust over-current protection scheme. To avoid unintentional DG disconnection during fault conditions, a protection system should operate quickly and selectively. Therefore, to achieve this aim, satisfying coordination constraints are important for any protection scheme in distribution networks; these pose a challenging task in interconnected and large-scale networks. In this paper, a new coordination strategy, based on the same non-standard time-current curve for all relays, in order to find optimal coordination of directional over-current relays, is proposed. The main aim is to reduce violations, especially miscoordination between pair relays. Besides this, the overall time of operation of relays during primary and backup operations should be minimized concurrently. This work is being tackled based on genetic algorithms and motivated by the heuristic algorithm. For the numerical analysis, to show the superiority of this coordination strategy, the IEEE 30-bus test system, with a mesh structure and supplemented with distributed generation, is put under extensive simulations, and the obtained results are discussed in depth.

• 한국수자원학회:학술대회논문집
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• 한국수자원학회 2016년도 학술발표회
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• pp.185-185
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• 2016

일반적인 송 배수시스템의 운영은 지대가 높은 곳에 위치한 배수지(tank)에 용수를 저장한 후, 자연유하에 의해 수요절점으로 용수를 공급한다. 이때 배수지에 용수를 송수하기 위한 펌프장 운영에서 많은 전기에너지가 소모된다. 일반적으로 송수펌프의 운영은 다년간의 운영자료를 기반으로 운영자의 판단에 의해 이루어지거나, SCADA(Supervisory Control and Data Acquisition)시스템을 통해 관측되는 배수지 수위를 기준으로 펌프 작동여부를 결정하고 있다. 본 연구에서는 이러한 기존 펌프운영방법을 개선하고 좀 더 효율적인 운영방법을 모색하기 위해 실시간 송수펌프 최적운영 모형을 개발하였다. 최적화 기법으로는 유전자 알고리즘(genetic algorithm)을 사용하였으며, 다양한 제약조건(operational constraints)을 적용하고 급수지역의 24시간 용수사용량을 미리 예측하여 실제 시스템의 운영형태와 근접하게 반영하였다. 또한 최적화 과정에서 상수관망해석 프로그램(EPANET)을 연계하여 수요절점의 수압조건 및 시스템의 운영상황을 모의하였다. 개발된 모형을 국내 P시의 광역상수도 시스템에 실제 적용하였으며, 현장 실시간 운영 데이터를 입수하여 전력사용량, 배수지수위, 이산화탄소 발생량 등을 비교, 분석하였다. 개발 모형을 이용하여 펌프운영을 실시하였을 경우, 기존의 운영방식과 비교하여 경제적/환경적으로 뚜렷한 개선 효과를 확인할 수 있었다.

• Journal of Information Processing Systems
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• 제17권5호
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• pp.947-959
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• 2021

Aiming at the problem of low accuracy in the water boundary automatic extraction of islands from GF-2 remote sensing image with high resolution in three bands, new water edges automatic extraction method in island based on GF-2 remote sensing images, genetic algorithm (GA) method, is proposed in this paper. Firstly, the GA-OTSU threshold segmentation algorithm based on the combination of GA and the maximal inter-class variance method (OTSU) was used to segment the island in GF-2 remote sensing image after pre-processing. Then, the morphological closed operation was used to fill in the holes in the segmented binary image, and the boundary was extracted by the Sobel edge detection operator to obtain the water edge. The experimental results showed that the proposed method was better than the contrast methods in both the segmentation performance and the accuracy of water boundary extraction in island from GF-2 remote sensing images.

• Nuclear Engineering and Technology
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• 제53권2호
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• pp.677-687
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• 2021

The tendency to renewables is one of the consequences of changing attitudes towards energy issues. As a result, solar energy, which is the leader among renewable energies based on availability and potential, plays a crucial role in full filing global needs. Significant problems with the solar thermal power plants (STPP) are the operation time, which is limited by daylight and is approximately half of the power plants with fossil fuels, and the capital cost. Exergy analysis survey of STPP hybrid with PCM storage carried out using Engineering Equation Solver (EES) program with genetic algorithm (GA) for three different scenarios, based on eight decision variables, which led us to decrease final product cost (electricity) in optimized scenario up to 30% compare to base case scenario from 28.99 $/kWh to 20.27 $/kWh for the case study. Also, in the optimal third scenario of this plant, the inner carbon dioxide gas cycle produces 1200 kW power with a thermal efficiency of 59% and also 1000 m3/h water with an exergy efficiency of 23.4% and 79.70 kg/h with an overall exergy efficiency of 34% is produced in the tetrageneration plant.

• 한국수자원학회:학술대회논문집
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• 한국수자원학회 2017년도 학술발표회
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• pp.158-158
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• 2017

상수관망을 통한 용수 공급에서는 송수펌프, 배수지 등의 수리 시설물이 중요한 역할을 수행한다. 우리나라의 송 배수 방식은 송수펌프를 통해 고지대의 배수지에 물을 확보하고, 이를 자연유하 방식으로 공급하는 것이 일반적이며, 따라서 송 배수시스템의 운영이란 송수펌프의 가동과 그에 따른 배수지의 수위 현황을 관리하는 것을 의미한다. 이 때, 펌프의 가동을 위한 전력소모에 많은 비용이 발생되므로 효율적인 펌프 운영을 위한 최적화 연구의 필요성이 제기되었다. 기존 연구를 통해 송 배수시스템의 운영을 모의하고, 펌프 가동비용을 최소화 하는 실시간 최적 펌프운영 모형이 개발되었으나, 미리 결정된 펌프와 배수지를 바탕으로 송 배수시스템을 모의하기 때문에 계획 및 설계 단계에서 이를 활용할 수 없는 한계점이 존재하였다. 본 연구에서는 최적화 알고리즘 중 하나인 유전자 알고리즘(Genetic Algorithm, GA)을 사용하여, 실시간 펌프운영뿐만 아니라 송수펌프와 배수지의 효율적인 용량을 제시할 수 있는 최적화 모형을 개발하였다. 특히, 개발 모형은 펌프와 배수지의 설계/운영 시, 국내 설계기준, 시설물 비용, 시간별 전력단가 등을 제약조건으로 고려하여 현실적인 결과를 도출할 수 있도록 개발되었다. 본 연구는 실제 운영 중인 S시의 광역상수도 시스템을 바탕으로 개발 모형을 적용하였으며, 또한 송 배수시스템의 계획 및 관리에 활용할 수 있을 것으로 기대된다.