• 경영과정보연구
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• 제22권
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• pp.85-115
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• 2007

Following is discovered in this study by some. First, attribute(product/non- product) of that truth that get through experiment of this study is WOM deduced result that have statistical meaning in dependent variable which is public trust only in this study. Specially, information by word of mouth type received High positive response more with non-product information by word of mouth attribute than the product attribute in all experiment products that is parted according to involvement. Consumer's response by involvement level of product can affect for site attitude, public trust, and intention to purchase by second. For example, consumer's site attitude has induced the most positive response, and can confirm positive response of High consumer most in that involvement sensitivity product in that participation reason type product and could confirm response that is the most positive in that involvement reason product even if there is for intention to purchase. Result of this study is grasped that have High mean value relatively in site attitude, product attitude, information by word of mouth effect, public trust, brand attitude, purchase intention etc. generally that product involvement and information by word of mouth attribute are interrelation by third. This can change fairly data processing process according to consumer's Involvement Level, behavior deterministic process, consumer's action with attitude formation process, and involvement for products. High occasion than is low incline more efforts in information retrieval and is discreet result such as study finding of produce.

• 터널과지하공간
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• 제30권1호
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• pp.15-28
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• 2020

본 연구는 개별요소법을 이용하여 삼차원 불연속절리망 시스템의 강도 및 변형계수를 추정하기 위해 제안된 기법을 소개하였다. DFN(discrete fracture network) 시스템에서 개별 절리는 유한 길이의 정사각 평면으로 취급하였다. 해석영역은 무결암과 유사한 거동을 하도록 설정된 가상절리와 실제 개별 절리의 조합으로 형성된 다면체로 이산화하였다. 제안된 기법의 적용성을 검토하기 위하여 확정적 및 추계론적 삼차원 DFN 시스템으로 이루어진 한 변이 10m인 정육면체 해석영역에 대하여 개별요소법에 의한 강도 및 변형계수를 추정하는 수치실험이 수행되었다. 또한, 본 연구는 절리의 기하학적 속성이 DFN 시스템의 강도 및 변형 특성에 미치는 영향을 살펴보았다. 제안된 기법은 삼차원 DFN 시스템의 이방적 강도 및 변형 특성을 효과적으로 추정하는 것으로 평가되었다.

• 국제학술발표논문집
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• The 3th International Conference on Construction Engineering and Project Management
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• pp.700-706
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• 2009

Bridges are vital components of any road network which demand crucial and timely decision-making for Maintenance, Repair and Rehabilitation (MR&R) activities. Bridge Management Systems (BMSs) as a decision support system (DSS), have been developed since the early 1990's to assist in the management of a large bridge network. Historical condition ratings obtained from biennial bridge inspections are major resources for predicting future bridge deteriorations via BMSs. Available historical condition ratings in most bridge agencies, however, are very limited, and thus posing a major barrier for obtaining reliable future structural performances. To alleviate this problem, the verified Backward Prediction Model (BPM) technique has been developed to help generate missing historical condition ratings. This is achieved through establishing the correlation between known condition ratings and such non-bridge factors as climate and environmental conditions, traffic volumes and population growth. Such correlations can then be used to obtain the bridge condition ratings of the missing years. With the help of these generated datasets, the currently available bridge deterioration model can be utilized to more reliably forecast future bridge conditions. In this paper, the prediction accuracy based on 4 and 9 BPM-generated historical condition ratings as input data are compared, using deterministic and stochastic bridge deterioration models. The comparison outcomes indicate that the prediction error decreases as more historical condition ratings obtained. This implies that the BPM can be utilised to generate unavailable historical data, which is crucial for bridge deterioration models to achieve more accurate prediction results. Nevertheless, there are considerable limitations in the existing bridge deterioration models. Thus, further research is essential to improve the prediction accuracy of bridge deterioration models.

• 한국농공학회지
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• 제22권4호
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• pp.108-114
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• 1980

A deterministic conceptual erosion model which simulates detachment, entrainment, transport and deposition of eroded soil particles by rainfall impact and flowing water is presented. Both upland and channel phases of sediment yield are incorporated into the erosion model. The algorithms for the soil erosion and sedimentation processes including land and crop management effects are taken from the literature and then solved using a digital computer. The erosion model is used in conjunction with the modified Kentucky Watershed Model which simulates the hydrologic characteristics from watershed data. The two models are linked together by using the appropriate computer code. Calibrations for both the watershed and erosion model parameters are made by comparing the simulated results with actual field measurements in the Four Mile Creek watershed near Traer, Iowa using 1976 and 1977 water year data. Two water years, 1970 and 1978 are used as test years for model verification. There is good agreement between the mean daily simulated and recorded streamflow and between the simulated and recorded suspended sediment load except few partial differences. The following conclusions were drawn from the results after testing the watershed and erosion model. 1. The watershed and erosion model is a deterministic lumped parameter model, and is capable of simulating the daily mean streamflow and suspended sediment load within a 20 percent error, when the correct watershed and erosion parameters are supplied. 2. It is found that soil erosion is sensitive to errors in simulation of occurrence and intensity of precipitation and of overland flow. Therefore, representative precipitation data and a watershed model which provides an accurate simulation of soil moisture and resulting overland flow are essential for the accurate simulation of soil erosion and subsequent sediment transport prediction. 3. Erroneous prediction of snowmelt in terms of time and magnitute in conjunction with The frozen ground could be the reason for the poor simulation of streamflow as well as sediment yield in the snowmelt period. More elaborate and accurate snowmelt submodels will greatly improve accuracy. 4. Poor simulation results can be attributed to deficiencies in erosion model and to errors in the observed data such as the recorded daily streamflow and the sediment concentration. 5. Crop management and tillage operations are two major factors that have a great effect on soil erosion simulation. The erosion model attempts to evaluate the impact of crop management and tillage effects on sediment production. These effects on sediment yield appear to be somewhat equivalent to the effect of overland flow. 6. Application and testing of the watershed and erosion model on watersheds in a variety of regions with different soils and meteorological characteristics may be recommended to verify its general applicability and to detact the deficiencies of the model. Futhermore, by further modification and expansion with additional data, the watershed and erosion model developed through this study can be used as a planning tool for watershed management and for solving agricultural non-point pollution problems.

• Industrial Engineering and Management Systems
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• 제11권2호
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• pp.155-164
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• 2012

As the global market becomes more competitive, manufacturing industries face relentless pressure caused by a growing tendency of greater varieties of products, shorter manufacturing cycles and more sophisticated customer requirements. Efficient and effective supplier selection and order allocation decisions are, therefore, important decisions for a manufacturer to ensure stable material flows in a highly competitive supply chain, in particular, when customers are willing to accept products with less desirable product attributes (e.g., color, delivery date) for economic reasons. This paper attempts to solve optimally the challenging problem of supplier selection and order allocation, taking into consideration the customer flexibility for a manufacturer producing multi-products to satisfy the customers' demands in a multi period planning horizon. A new mixed integer programming model is developed to describe the behavior of the supply chain. The objective is to maximize the manufacturer's total profit subject to various operating constraints of the supply chain. Due to the complexity and non-deterministic polynomial-time (NP)-hard nature of the problem, an improved genetic approach is proposed to solve the problem optimally. This approach differs from a canonical genetic algorithm in three aspects: a new selection method to reduce the chance of premature convergence and two problem-specific repair heuristics to guarantee feasibility of the solutions. The results of applying the proposed approach to solve a set of randomly generated test problems clearly demonstrate its excellent performance. When compared with applying the canonical genetic algorithm to locate optimal solutions, the average improvement in the solution quality amounts to as high as ten percent.

• Smart Structures and Systems
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• 제21권4호
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• pp.435-448
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• 2018

This paper reports the development of a theoretically rigorous method for permanent way engineers to assess the condition of railway ballast under a concrete sleeper with the potential to be extended to a smart system for long-term health monitoring of railway ballast. Owing to the uncertainties induced by the problems of modeling error and measurement noise, the Bayesian approach was followed in the development. After the selection of the most plausible model class for describing the damage status of the rail-sleeper-ballast system, Bayesian model updating is adopted to calculate the posterior PDF of the ballast stiffness at various regions under the sleeper. An obvious drop in ballast stiffness at a region under the sleeper is an evidence of ballast damage. In model updating, the model that can minimize the discrepancy between the measured and model-predicted modal parameters can be considered as the most probable model for calculating the posterior PDF under the Bayesian framework. To address the problems of non-uniqueness and local minima in the model updating process, a two-stage hybrid optimization method was developed. The modified evolutionary algorithm was developed in the first stage to identify the important regions in the parameter space and resulting in a set of initial trials for deterministic optimization to locate all most probable models in the second stage. The proposed methodology was numerically and experimentally verified. Using the identified model, a series of comprehensive numerical case studies was carried out to investigate the effects of data quantity and quality on the results of ballast damage detection. Difficulties to be overcome before the proposed method can be extended to a long-term ballast monitoring system are discussed in the conclusion.

• Journal of Computational Design and Engineering
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• 제3권3호
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• pp.179-190
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• 2016

A kind of modified epoxy resin sheet molding compounds of the impeller has been designed. Through the test, the non-metal impeller has a better environmental aging performance, but must do the waterproof processing design. In order to improve the stability of the impeller vibration design, the influence of uncertainty factors is considered, and a multi-objective robust optimization method is proposed to reduce the weight of the impeller. Firstly, based on the fluid-structure interaction, the analysis model of the impeller vibration is constructed. Secondly, the optimal approximate model of the impeller is constructed by using the Latin hypercube and radial basis function, and the fitting and optimization accuracy of the approximate model is improved by increasing the sample points. Finally, the micro multi-objective genetic algorithm is applied to the robust optimization of approximate model, and the Monte Carlo simulation and Sobol sampling techniques are used for reliability analysis. By comparing the results of the deterministic, different sigma levels and different materials, the multi-objective optimization of the SMC molding impeller can meet the requirements of engineering stability and lightweight. And the effectiveness of the proposed multi-objective robust optimization method is verified by the error analysis. After the SMC molding and the robust optimization of the impeller, the optimized rate reached 42.5%, which greatly improved the economic benefit, and greatly reduce the vibration of the ventilation system.

• 방송공학회논문지
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• 제11권3호
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• pp.320-325
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• 2006

JPEG 표준에 의거한 정지 영상 압축을 위하여, 영상은 겹치지 $8{\times}8$ 블록 단위로 분할된다. 카메라 모듈로부터는 라스터 스캔 순서로 화소 데이터를 입력되기 때문에 JPEG 인코더와의 사이에 화소 순서 정렬을 위한 스캔 순서 변환기가 위치한다. 일반적으로 카메라와 인코더 동작을 병렬로 수행하기 위하여 8 라인에 해당하는 화소 데이터를 저장하기 위한 로컬 메모리를 2개 필요하다. 그러나 이와 같이 2개의 메모리를 사용하는 구조는 영상의 수평 해상도에 정비례하여 메모리 용량이 증가하는 문제 때문에 고해상도 영상 압축에는 적합하지 않게 된다. 본 논문에서는 하나의 메모리를 사용하여 스캔 순서 변환을 수행할 수 있는 록 메모리 주소 생성 알고리즘을 제안한다. 이 알고리즘은 가산기와 감산기와 같은 기본 연산 소자로 구현되기 때문에, JPEG 인코더를 내장한 시스템을 효과적으로 구성할 수 있게 한다.

• 한국건설관리학회논문집
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• 제4권4호
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• pp.192-200
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• 2003

본 연구는 공공건설 공사에 실적자료에 의한 공사비산정 방법의 전산화 적용을 목적으로 먼저 실적공사비의 정의 및 구조와 현행 실적공사비 운영체계 이해를 통해 전산화의 문제점 및 개선기준을 공사비 산정방법 중심으로 분석 기술하였으며 제안한 기준에 따라 전산화 알고리즘을 제시하였다. 기존 예정공사비 산정방법은 일반적인 공종별 분류에 따른 실적자료조건과 단순히 물가지수, 연면적규모에 따른 시공단가를 적용함으로서 공사비산정의 정확성이 요구되며, 본 연구는 이에 대한 개선 안으로 부위와 부분별 공종분류 방식에 의한 데이터 추출조건으로 실적자료의 적용성과 신뢰성을 높였다. 또한 물량규모에 의한 공사비 변동요인을 물량규모 대비 단가의 확률적 회귀분석으로 예측 추정하여 실행 가능한 적정 공사비 산정방법을 제시하였다. 따라서 본 연구에서는 전산화 적용 방안으로 확률적 예정공사비산정방법을 기준으로 시스템 프로세스를 각 영역별로 구축하고 그에 따른 윈도우 어플리케이션 활용 툴과 개별 전산화에 대한 알고리즘을 구축하였다.

• Steel and Composite Structures
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• 제11권5호
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• pp.423-434
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• 2011

Tongwamen Bridge is a critical link between Dongmen Island and the land in Shipu town, Zhejiang province, China. It is a 238 m span, half-through, concrete-filled steel tubular (CFST) X-type arch bridge. The width of the deck is only 10 m, yielding a width-to-span ratio of 1/23.8. The plane truss type section rib was adopted, which made of two CFST chords and web member system. The lateral stability is the key issue to this bridge. However, the existing researches on Tongwamen Bridge's lateral stability are all the deterministic structural analysis. In this paper, a new strategy for positioning sampling points of the response surface method (RSM), based on the composite method combining RSM with geometric method for structural reliability analysis, is employed to obtain the reliability index of lateral stability. In addition the correlated parameters were discussed in detail to find the major factors. According to the analysis results, increasing the stiff of lateral braces between the arch ribs and setting the proper inward-incline degree of the arch rib can enhance obviously the reliability of lateral stability. Moreover, the deck action of non-orienting force is less than the two factors above. The calculated results indicate that the arch ribs are safe enough to keep excellent stability, and it provides the foundation that the plane truss rib would be a competitive solution for a long-span, narrow, CFST arch bridge.