• 디지털융복합연구
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• 제17권4호
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• pp.249-254
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• 2019

기상이변 및 미세먼지 현상이 대두되면서 발생 가능한 문제의 대안으로 사용자들은 모바일 날씨 어플리케이션을 찾는다. 그러나 발전된 기술을 기반으로 정보를 제공하는 어플리케이션이 있음에도 불구하고 예측오류 및 날씨로 인해 발생되고 있는 환경, 경제 등의 문제들은 기대한 만큼 줄어들지 않고 있다. 따라서 본 연구의 목적은 사용자가 모바일 어플리케이션을 통해 변덕스러운 날씨에 대비를 철저히 할 수 있는 요소를 모바일로부터 찾는 것이다. 연구방법으로는 UX 전문가를 중심으로 닐슨의 휴리스틱 사용성 평가를 진행하여 '원기날씨'와 '케이웨더'사례를 평가 분석한 뒤 취약한 점을 도출했다. 분석 결과 제품은 다양한 기능과 제공하는 정보를 제공하고 있지만 사용자에게 접근성이 낮았으며, '정보전달'에 주 초점을 두고 있어 딱딱한 느낌주고 있었다. 본 연구는 향후 날씨 앱 실증연구시 사용자를 움직이는 적용방법의 효용성에 대한 단서를 얻는데 중요한 기초가 될 수 있으며, 모바일 어플리케이션 사용성 결과를 행동경제학 이론이라는 신선한 접근으로 분석했다는 점에서 의의가 있다.

• 대한전자공학회논문지SD
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• 제43권2호
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• pp.96-104
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• 2006

본 논문에서는 VLSI구현을 위한 CAN 프로토콜 컨트롤러의 최적화된 구조를 제안하였으며, 제안된 구조를 이용하여 VLSI로 구현하였다. 또한 많은 시간이 소요되는 검증의 문제점을 보완하기 위하여 3단계 검증기법을 제안하였으며 이를 통하여 빠른 속도의 검증이 가능하게 되었다. 제안된 구조는 기존의 CAN 프로토콜 컨트롤러보다 적은 사이즈의 게이트 수를 갖고 있을 뿐만 아니라 호스트 프로세서와의 연결이 용이하게 구성되어 있기 때문에 비용 및 효율성에서 장점을 갖고 있고, 제안된 3단계 검증기법은 반복되는 검증의 수를 줄임으로써 최적화된 검증을 수행하도록 구성되어 있기 때문에 빠른 속도의 검증이 가능하다. 설계된 CAN 프로토콜 컨트롤러는 0.35마이크론 CMOS공정을 이용하여 제작되었다.

• 한국소음진동공학회논문집
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• 제19권5호
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• pp.509-515
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• 2009

This paper proposes an optimal design scheme to reduce the noise of the engine cooling fan by adapting Kriging with two meta-heuristic techniques. An engineering model has been developed for the prediction of the noise spectrum of the engine cooling fan. The noise of the fan is expressed as the discrete frequency noise peaks at the BPF and its harmonics and line spectrum at the broad band by noise generation mechanisms. The object of this paper is to find the optimal design for noise reduction of the engine cooling fan. We firstly show a comparison of the measured and calculated noise spectra of the fan for the validation of the noise prediction program. Orthogonal array is applied as design of experiments because it is suitable for Kriging. With these simulated data, we can estimate a correlation parameter of Kriging by solving the nonlinear problem with genetic algorithm and find an optimal level for the noise reduction of the cooling fan by optimizing Kriging estimates with simulated annealing. We notice that this optimal design scheme gives noticeable results. Therefore, an optimal design for the cooling fan is proposed by reducing the noise of its system.

• 한국소음진동공학회:학술대회논문집
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• 한국소음진동공학회 2007년도 추계학술대회논문집
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• pp.1307-1312
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• 2007

This paper proposes an optimal design scheme to reduce the noise of the engine cooling fan by adapting Kriging with two meta-heuristic techniques. An engineering model has been developed for the prediction of the noise spectrum of the engine cooling fan. The noise of the fan is expressed as the discrete frequency noise peaks at the BPF and its harmonics and line spectrum at the broad band by noise generation mechanisms. The object of this paper is to find the Optimal Design for Noise Reduction of the Engine Cooling Fan. We firstly show a comparison of the measured and calculated noise spectra of the fan for the validation of the noise prediction program. Orthogonal array is applied as design of experiments because it is suitable for Kriging. With these simulated data, we can estimate a correlation parameter of Kriging by solving the nonlinear problem with genetic algorithm and find an optimal level for the noise reduction of the cooling fan by optimizing Kriging estimates with simulated annealing. We notice that this optimal design scheme gives noticeable results. Therefore, an optimal design for the cooling fan is proposed by reducing the noise of its system.

• 보건행정학회지
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• 제4권2호
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• pp.111-125
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• 1994

In developing total hospital information system, large amount of time and expense are to be spent while its results are likely to lead itself to end-users' dissatisfaction. Some of the main complaints on the part of end-users come from insufficient consideration of end-users environment as well as inappropriate representation of their requirement in the system alalysis and design. This papre addresses some advantages of Essential Logical Modeling Process for better analysis and design, explaining by example the developmental process of the Patent Management and Accounting System for a tertiary care hospital. In the case, the Essential Model, suggested by McMenamin and Palmer, proved to be an effective tool for clear separation of analysis and design phase and for better communication among system developers and with end-users. The modeling process itself contributed to better program modularity as well, shown in a Structured Chart. Difficulties in learning how to identify' essential activities' for the modeling practice were experienced in the beginnins stage, which were, however, overcome by elaborating some heuristic guideling and by rdferring to necessary tools including State Transition Diagram, Control Flow Diagram, and so many. While full evaluation of the Essential Model usag remains to wait till the completion of the case project, its strengt in making clear distinction between analysis and design phase was enough to be attractive to system analysts. The model concepts are open to many further application fields, particularly such areas as business re engineering, process remodeling, office automation, and organizational restructuring.

• Smart Structures and Systems
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• 제19권6호
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• pp.643-652
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• 2017

Pitched roof frames are widely used in construction of the industrial buildings, gyms, schools and colleges, fire stations, storages, hangars and many other low rise structures. The weight and shape of the gable frames with tapered members, as a familiar group of the pitched roof frames, are highly dependent on the properties of the member cross-sectional. In this work Enhanced Colliding Bodies Optimization (ECBO) is utilized for optimal design of three gable frames with tapered members. In order to optimize the frames, the design is performed using the AISC specifications for stress, displacement and stability constraints. The design constraints and weight of the gable frames are computed from the cross-section of members. These optimum weights are obtained using aforementioned optimization algorithms considering the cross-sections of the members and design constraints as optimization variables and constraints, respectively. A comparative study of the PSO and CBO with ECBO is also performed to illustrate the importance of the enhancement of the utilized optimization algorithm.

• 제어로봇시스템학회논문지
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• 제15권7호
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• pp.742-752
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• 2009

Engineering design involves the specification of many variables that define a product, how it is made, and how it behaves applied to computer, communication and control fields. Before some variables can be determined, other variables must first be known or assumed. This fact implies a precedence order of the variables, and of the tasks of determining these variables consequently. Moreover, design of complex systems may involve a large number of design activities. In this paper, the activity-activity incidence matrix is considered as a representation of design activity analysis which mainly focuses on the precedence constraint with an object of doing IDEF3 in process-centered view. In order to analyze the activity-activity incidence matrix, a heuristic algorithm is proposed, which transforms an activity-activity, parameter-formula, and parameter-parameter incidence matrix into a lower triangular form. The analysis of the structured matrices can not only significantly reduce the overall project complexity by reorganizing few critical tasks in practice, but also aims at obtaining shorter times considering the solution structure by exploring concurrency.

• Steel and Composite Structures
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• 제18권2호
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• pp.289-303
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• 2015

This study presents a strategy so-called Subspace Search Mechanism (SSM) for reducing the computational time for convergence of population based metaheusristic algorithms. The selected metaheuristic for this study is the Cuckoo Search algorithm (CS) dealing with size optimization of trusses. The complexity of structural optimization problems can be partially due to the presence of high-dimensional design variables. SSM approach aims to reduce dimension of the problem. Design variables are categorized to predefined groups (subspaces). SSM focuses on the multiple use of the metaheuristic at hand for each subspace. Optimizer updates the design variables for each subspace independently. Updating rules require candidate designs evaluation. Each candidate design is the assemblage of responsible set of design variables that define the subspace of interest. SSM is incorporated to the Cuckoo Search algorithm for size optimizing of three small, moderate and large space trusses. Optimization results indicate that SSM enables the CS to work with less number of population (42%), as a result reducing the time of convergence, in exchange for some accuracy (1.5%). It is shown that the loss of accuracy can be lessened with increasing the order of complexity. This suggests its applicability to other algorithms and other complex finite element-based engineering design problems.

• 대한기계학회논문집A
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• 제30권4호
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• pp.465-472
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• 2006

Recently, the regulations of the government and the concerns of people have rise to the interest in noise pollution levels as compared to other vehicles. In this area, many researchers have studied to reduce this noise in the field of automotive engineering. This paper proposes an optimal design scheme to reduce the noise of the intake system by adapting Kriging with two meta-heuristic techniques. For this, as a measuring tool for the performance of the intake system, the performance prediction software, was used. Then, the length and radius of each component of the current intake system are selected as input variables and the orthogonal arrays is adapted as a space-filling design. With these simulated data, we can estimate a correlation parameter in Kriging by solving the nonlinear problem with a genetic algorithm and find an optimal level for the intake system by optimizing Kriging estimated with simulated annealing. We notice that this optimal design scheme gives noticeable results and is a preferable way to analyze the intake system. Therefore, an optimal design for the intake system is proposed by reducing the noise of its system.

• 한국정보처리학회논문지
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• 제7권7호
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• pp.2179-2187
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• 2000

This paper provides a heuristic analysis technique which determines an optimal number of V\ulcorner/V\ulcorner pads meeting allowable Simultaneous Switching Noise(SN) budget, early in the design phase. Until now, in determining the number of V\ulcorner/V\ulcorner pads, designers had to simulate packaging models case by case in the design phase or roughly allocate the power/ground pins in an inaccurate way according to typical design rules. However, due to the high density and frequency trends of IC technologies, the V\ulcorner/V\ulcorner pads allocation method can affect an adverse effect on IC operations, which requires more accurate and efficient methods be devised. Thus, this paper proposes an analytic V\ulcorner/V\ulcorner pads calculation method that gives a practical help for packaging designs early in the design phase. The proposed method is applied to a design example of a 1/8x208 pin plastic quad flat package (PQFP) and the results are verified through simulation using HSPICE.