• 보건행정학회지
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• 제21권2호
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• pp.263-278
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• 2011

As the competition among hospitals become intensified, hospital management is required to carry out more effective marketing and positioning of the hospital. Successful positioning of a hospital requires the knowledge about how the concrete attributes inherent in the medical service associated with the customer values that customers seek eventually in the medical service. Thus, it is required for hospital management to understand which hospital attributes should be emphasized in order to improve the customer values. The hierarchical structure of service attributes can provide valuable information about effective positioning and advertising. To obtain such knowledge, we employed the order analysis technique as an objective means-end chain method. Order analysis is useful for identifying the causal structure among attributes. Thus, we can examine the underlying causal relationship and eventually the vertical structure of hospital selection attributes. For this study, we conducted a survey to obtain 370 responses for the analysis. The result suggests that hospital management had better increase the scale of hospital, improve the services of health care providers, and modernize the hospital facilities and equipments so as to enhance customer values and eventually to lead them to recommend the hospital to others. Our findings would provide the valuable information for hospital management to develop the more effective hospital positioning and marketing strategies.

• Smart Structures and Systems
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• 제2권2호
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• pp.189-208
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• 2006

Monitoring large-scale civil engineering structures such as offshore platforms and high-large buildings requires a large number of sensors of different types. Innovative sensor data information technologies are very extremely important for data transmission, storage and retrieval of large volume sensor data generated from large sensor networks. How to obtain the optimal sensor set and placement is more and more concerned by researchers in vibration-based SHM. In this paper, a method of determining the sensor location which aims to extract the dynamic parameter effectively is presented. The method selects the number and place of sensor being installed on or in structure by through the tolerance domain statistical inference algorithm combined with second order sensitivity technology. The method proposal first finds and determines the sub-set sensors from the theoretic measure point derived from analytical model by the statistical tolerance domain procedure under the principle of modal effective independence. The second step is to judge whether the sorted out measured point set has sensitive to the dynamic change of structure by utilizing second order characteristic value sensitivity analysis. A 76-high-building benchmark mode and an offshore platform structure sensor optimal selection are demonstrated and result shows that the method is available and feasible.

• Nuclear Engineering and Technology
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• 제53권2호
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• pp.430-438
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• 2021

The spatial distribution of neutron flux or reaction rate was calculated by cell or mesh tally in traditional Monte Carlo simulation. However, either cell or mesh tally leads to the increase of memory consumption and simulation time. In this paper, the function expansion tally (FET) method was developed in Reactor Monte Carlo code RMC to solve this problem. The FET method was applied to the tallies of neutron flux distributions of uranium block and PWR fuel rod models. Legendre polynomials were used in the axial direction, while Zernike polynomials were used in the radial direction. The results of flux, calculation time and memory consumption of different expansion orders were investigated, and compared with the mesh tally. Results showed that the continuous distribution of flux can be obtained by FET method. The flux distributions were consistent with that of mesh tally, while the memory consumption and simulation time can be effectively reduced. Finally, the convergence analysis of coefficients of polynomials were performed, and the selection strategy of FET order was proposed based on the statistics uncertainty of the coefficients. The proposed method can help to determine the order of FET, which was meaningful for the efficiency and accuracy of FET method.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제11권7호
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• pp.3501-3523
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• 2017

It is a classical integer optimization difficulty to design an optimal selection scheme in cooperative relay networks considering co-channel interference (CCI). In this paper, we solve single-objective and multi-objective relay selection problem. For the single-objective relay selection problem, in order to attain optimal system performance of cooperative relay network, a novel quantum differential evolutionary algorithm (QDEA) is proposed to resolve the optimization difficulty of optimal relay selection, and the proposed optimal relay selection scheme is called as optimal relay selection based on quantum differential evolutionary algorithm (QDEA). The proposed QDEA combines the advantages of quantum computing theory and differential evolutionary algorithm (DEA) to improve exploring and exploiting potency of DEA. So QDEA has the capability to find the optimal relay selection scheme in cooperative relay networks. For the multi-objective relay selection problem, we propose a novel non-dominated sorting quantum differential evolutionary algorithm (NSQDEA) to solve the relay selection problem which considers two objectives. Simulation results indicate that the proposed relay selection scheme based on QDEA is superior to other intelligent relay selection schemes based on differential evolutionary algorithm, artificial bee colony optimization and quantum bee colony optimization in terms of convergence speed and accuracy for the single-objective relay selection problem. Meanwhile, the simulation results also show that the proposed relay selection scheme based on NSQDEA has a good performance on multi-objective relay selection.

• 정보처리학회논문지D
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• 제14D권5호
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• pp.459-470
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• 2007

데이터 스트림은 빠르게 연속적으로 발생하는 무제한의 데이터 튜플의 집합이다. 이러한 데이터 스트림에 대한 질의 처리 또한 연속적이고 신속해야 하며 엄격한 시공간적 제약이 요구된다. 대부분의 데이터 스트림 관리시스템(DSMS)에서는 시공간적 제약사항을 효과적으로 지키기 위해서 등록된 연속 질의들의 선택 조건(selection predicate)들을 그룹화하거나 색인처리 한다. 본 논문에서는 연속 질의들의 선택 조건들을 속성별로 그룹화한 새로운 구조체인 속성 선택체(Attribute Selection Construct)를 제안한다. 속성 선택체에는 해당 속성이 특정 질의조건에 사용되는지 여부, 부분적으로 미리 계산된 질의결과 정보, 그리고 해당 속성의 선택률 통계 등 효율적인 질의 처리를 위한 유용한 정보들이 포함된다. 또한, 대상 질의집합을 구현한 속성 선택체들 간의 처리 순서는 전체적인 질의성능에 많은 영향을 미칠 수 있기 때문에 효과적으로 속성 선택체 처리 순서를 결정할 수 있는 전략도 함께 제안된다. 마지막으로, 기존의 방법들이 포함된 다양한 실험을 통하여 제안된 방법론의 성능을 여러 각도에서 비교 검증한다.

• 한국정보통신학회논문지
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• 제26권9호
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• pp.1340-1346
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• 2022

본 논문에서는 다중 송신 안테나를 이용하는 하향링크 비직교 다중 접속 시스템을 고려한다. 여기서, 시스템 복잡도를 줄이기 위하여 송신 안테나 선택 기법을 이용한다. 따라서, 본 논문에서는 송신 안테나 선택을 이용하는 하향링크 비직교 다중 접속 시스템의 아웃티지 확률 성능을 개선하기 위한 무선 자원 할당 및 수신기 선택 기법을 제안한다. 특히, 수신기 선택 기법은 아웃티지 성능 개선을 위한 수신기들의 그룹핑 방법을 의미하고, 무선 자원 할당 기법은 아웃티지 성능 개선을 위한 각각의 그룹에 대한 자원 할당 방법을 의미한다. 또한, 레일레이 페이딩 채널을 가정한 컴퓨터 시뮬레이션을 통하여 제안 기법이 총 데이터 전송률의 손실로부터 아웃티지 확률 성능을 개선할 수 있음을 보여준다.

• 한국건설관리학회논문집
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• 제22권2호
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• pp.63-71
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• 2021

국내 기업의 해외 건설 수주는 지속적으로 성장하고 양적성장을 이루어왔지만, 2011년 유가하락에 이어 최근 COVID-19의 장기화 등 대외환경의 불확실성이 커지며 해외 건설 시장의 침체가 전망된다. 이에 4차 산업혁명의 발전된 기술을 활용해 그간 축적된 데이터를 연구한다면, 향후 해외 건설사업 관리의 역량 및 경쟁력을 키울 수 있을 것이다. 따라서 이 연구에서는 중동 건설시장에서 공정지연과 주요 분쟁의 원인으로 대두되고 있는 공사변경의 상향된 프로젝트 관리 방안을 제시하고자 하였다. 우선 실제 해외 플랜트 건설사례를 분석하여 6가지 주요 공사변경 원인을 도출하였고, 이에 따라 영향을 받는 요인을 8가지로 분류하였다. 특히 머신러닝 기반의 다양한 Feature Selection 기법을 활용해 중요도를 계량화된 수치를 평가함으로써 공사변경과 영향 요인 사이의 유의미한 관계를 파악 하였다. 이를 통해 프로젝트 관리 측면에서 내부적으로는 공사변경의 명확한 관리 방향 수립이 가능하고, 대외적으로는 협상 기간 단축으로 추가적인 공기 지연을 방지하고 비용지출 관리가 가능할 것이라고 판단된다.

• Communications for Statistical Applications and Methods
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• 제4권1호
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• pp.151-159
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• 1997

In sample surveys, we expect preferred samples that reduce the survey cost and increase the precision of estimators will be selected. Goodman and Kish (1950) introduced controlled selection as a method of sample selection that increases the probability of drawing preferred samples, while decreases the probability of drawing nonpreferred samples. In this paper, we obtain the controlled plans using the maximum entropy principle, and when the order of nonpreferred samples is considered, we propose the algorithm to obtain a controlled plan.

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 1989년도 한국자동제어학술회의논문집; Seoul, Korea; 27-28 Oct. 1989
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• pp.296-301
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• 1989

As a cornerstone of assembly automation, the automatic part feeders are used to feed the various kind of the parts to the assembly workstation in the desired order and fashion. In this paper, EXPERT SYSTEM consisting of the data base for the feeding functions and part properties plus the rule base for the selection of feeder types is developed. The symbolic data of the part properties are used as basic factors in the selection rule of the suitable feeder types.

• 한국조리학회지
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• 제10권1호
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• pp.82-95
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• 2004

This study had an aim to analyze the relationship between consumers' selection of restaurant and constitutional factors of the images of Bibimbap Specialty restaurant. The study examined through constitutional factors including hygiene, employee, facility, brand, convenience, price and food, and found those effects on selection of restaurant. In addition, the image of restaurant had an effect on that of hygiene and employee, price and food in order.