• 한국항만경제학회지
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• 제17권1호
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• pp.27-51
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• 2001

The purpose of this paper is to investigate the productive efficiency of world container ports by using the DEA (Data Envelopment Analysis) method and raw data from previous research in measuring the international competitiveness of world container ports. Ports have to cope with rapid changes in shipping environments. In order for a port to compete in the global market, it must provide port services promptly and accurately. Basically, there are two approaches to measuring the international competitiveness of a container port. First, there is the traditional productivity analysis method, which analyzes productivity based on the container port's facilities (efficiency, selectivity, land availability), and by its general capacity (handling ability, storage capacity, terminal productivity). Second there is multi-attribute utility analysis, which considers several elements including the reasons for selecting particular container ports and factors determining international competitiveness. This paper follows the first method (traditional productivity analysis) and extends the limitation of previous studies by using the DEA method newly, and suggesting: the relative productive efficiency of container ports. The main results of this paper are as follows: First, the results of the DEA analysis in terms of world container ports matches that of a previous study (Jun et al., 1993) at a level of 35%. The low ratio is due to the constrained set of input-output elements, the result of only twenty container ports being analyzed in this paper. Second, the result of the DEA analysis in terms of North-East Asia's container ports matches with that of a previous study (Ha, 1996) at a level of 100 percent. Therefore we can conclude that the DEA analysis is the best measurement method for international competitiveness. Policy implications for this study are as follows: First, when port authorities want to measure the international competition power of container ports and enhance their productive efficiency, they should consider the traditional method and newly introduce the DEA method. Second, according to the analysis results of the DEA method, pen authorities should recommend benchmarking ports as reference ports in order to enhance the productive efficiency of container ports that show an efficiency score of below 1.

• 한국경영과학회:학술대회논문집
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• 대한산업공학회/한국경영과학회 2006년도 춘계공동학술대회 논문집
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• pp.373-378
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• 2006

Recently the technical advances and complexities have generated much of the difficulties in managing the project resources, for both scheduling and costing to accomplish the project in the most efficient manner. The project manager is frequently required to render judgments concerning the schedule and resource adjustments. This research develops an analytical model for a schedule-cost and risk analysis based on visual PERT/CPM. We used a three-step approach: 1) in the first step, a deterministic PERT/CPM model for the critical path and estimating the project time schedule and related resource planning and we developed a heuristic model for crash and stretch out analysis based upon a time-cost trade-off associated with the crash and stretch out of the project. 2) In second step, we developed web-based risk evaluation model for project analysis. Major technologies used for this step are AHP (analytic hierarchy process, fuzzy-AHP, multi-attribute analysis, stochastic network simulation, and web based decision support system. Also we have developed computer programs and have shown the results of sample runs for an R&D project risk analysis. 3) We developed an optimization model for project resource allocation. We used AHP weighted values and optimization methods. Computer implementation for this model is provided based on GUI-Type objective-oriented programming for the users and provided displays of all the inputs and outputs in the form of GUI-Type. The results of this research will provide the project managers with efficient management tools.

• Spatial Information Research
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• 제8권1호
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• pp.31-50
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• 2000

국가 GIS 구축사업의 일환으로 지형도를 비롯한 여러 가지 주제들이 수치지도로 구축되어왔다. 이렇게 구축된 수치지도는 사용하고자 하는 목적에 맞게 올바르게 구축되어 그 정확도를 신뢰할 수 있을 경우에만 효율적으로 사용될 수 있다. 본 연구의 목적은 양질의 수치지도를 구축하는데 필요한 합리적인 검수방안을 제시하는데 있다. 이를 위해 국내·외에서 요구되는 수치지도의 품질요소와 검수현황을 살펴보았고, 수치지도에서 발생하는 오류유형을 분석했다. 이러한 오류유형을 바탕으로 데이터생성연혁, 데이트포맷, 위치정확성, 속성정확성, 기하구조의 적합성, 논리적 일관성, 경계인접, 완전성, 도곽선 범위의 9가지 기존을 마련한 뒤 작업계획, 오류유형 정의, 납품내역검수, 육안중첩검수, 현지조사검수, 전산정밀검수, 자동검수, 검수결과판정, 검수결과해석으로 이어지는 9단계의 체계적인 다단계 검수절차를 제안하였다.

• 한국정보과학회논문지:데이타베이스
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• 제31권2호
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• pp.132-139
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• 2004

범위 상위-$\kappa$ 질의는 질의 범위 내의 다차원 데이타 중 값 애트리뷰트를 기준으로 상위 k개의 레코드를 반환하는 질의로 공간 데이타베이스와 데이타 웨어하우스에서 분석을 위해 많이 사용되는 유용한 질의 형태이다. 이 논문에서는 계층 최대 R-트리의 선택적인 탐색을 통해 범위 상위-k 질의를 효과적으로 수행하는 기법을 제시한다. 이 기법은 단말 노드의 일부만을 접근하여 질의를 수행할 수 있으며, 질의 범위의 크기에 관계없이 거의 일정한 성능을 보인다. 또한 이 기법은 우선순위 큐를 효율적으로 관리함으로써 큐의 유지비용을 최소화하며, 기존 R-트리와 같은 팬아웃을 보장할 수 있다.

• Spatial Information Research
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• 제19권1호
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• pp.83-91
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• 2011

The route finding analysis is an essential geo-related decision support tool in a LBS(Location based Services) and previous researches related to route guidance have been mainly focused on route guidances for vehicles. However, due to the recent spread of personal computing devices such as PDA, PMP and smart phone, route guidance for pedestrians have been increasingly in demand. The pedestrian route guidance is different from vehicle route guidance because pedestrians are affected more surrounding environment than vehicles. Therefore, pedestrian path finding needs considerations of factors affecting walking. This paper aimed to extract factors affecting walking and charting the factors for application factors affecting walking to pedestrian path finding. In this paper, we found various factors about environment of road for pedestrian and extract the factors affecting walking. Factors affecting walking consist of 4 categories traffic, sidewalk, network, safety facility. We calculated weights about each factor using analytic hierarchy process (AHP). Based on weights we calculated scores about each factor's attribute. The weight is maximum score of factor. These scores of factor are used to optimal pedestrian path finding as path finding cost with distance, accessibility.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제12권5호
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• pp.1992-2008
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• 2018

Mobile opportunistic network is a kind of ad hoc networks, which implements the multi-hop routing communication with the help of contact opportunity brought about by the mobility of the nodes. It always uses opportunistic data transmission mode based on store-carry-forward to solve intermittent connect problem of link. Although many routing schemes have been proposed, most of them adopt the greedy transmission mode to pursue a higher delivery efficient, which result in unfairness extremely among nodes. While, this issue has not been paid enough attention up to now. In this paper, we analyzed the main factors that reflect fairness among nodes, modeled routing selection as a multiple attribute decision making problem, and proposed our Fairness-aware Routing Strategy, named FARS. To evaluate the performance of our FARS, extensive simulations and analysis have been done based on a real-life dataset and a synthetic dataset, respectively. The results show that, compared with other existing protocols, our FARS can greatly improve the fairness of the nodes when ensuring the overall delivery performance of the network.

• Journal of Magnetics
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• 제21권4호
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• pp.544-553
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• 2016

Torque ripple minimization without decrease in average torque is a vital attribute in the design of Synchronous Reluctance (SynRel) motor. As the design of SynRel motor is an arduous task, which encompasses many design variables, this work first analyses the significance of the effect of varying the geometrical parameters on average torque and torque ripple and then proposes an extensive optimization procedure to obtain configurations with improved average torque and minimized torque ripple. A hardware prototype is fabricated and tested. The Finite Element Analysis (FEA) software tool used for validating the test results is MagNet 7.6.0.8. Multi Objective Particle Swarm Optimization (MOPSO) is used to determine the various designs meeting the requirements of reduced torque ripple and improved torque performance. The results indicate the efficacy of the proposed methodology and substantiate the utilization of MOPSO as a significant tool for solving design problems related to SynRel motor.

• 한국BIM학회 논문집
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• 제11권1호
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• pp.39-46
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• 2021

Urban residents in crowded complexes are making increasing civil complaints about noise and demanding pleasant and comfortable residential environments. Because noise is one of the most important factors related to urban residents' dissatisfaction with their living environments, the present study investigates the direct and indirect effects of noise-related outdoor environmental factors on residential level satisfaction, using noise level data from 29 noise-measuring stations in Seoul. From 62 multi-family apartment complexes near these stations, the authors collected GIS-based environmental attribute data, as well as survey data including the residents' personal characteristics and indicators designed to measure latent psychological characteristics: noise sensitivity and residential noise level satisfaction. This study then utilized structural equation models to analyze the direct variables influencing the latent variables of noise sensitivity and residential noise level satisfaction, as well as the complex relationships among all variables. The result showed that residents who are exposed to less noise, possibly due to living in apartments facing relatively quiet roads, protected by soundproof walls, or surrounded by densely planted trees, tend to be less noise sensitive, which makes them more satisfied with the ambient noise level. Therefore, critical outdoor environmental variables can be used to reduce noise sensitivity and improve residential noise level satisfaction.

• 한국식품영양과학회지
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• 제39권3호
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• pp.428-434
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• 2010

소금의 짠맛을 대체하기 위한 조미료를 개발하기 위해 잘 알려진 18가지의 향신료에 대한 맛을 정량묘사 분석하여 9개의 용어를 도출하였고, 맛 특성과 18가지 향신료를 주성분 분석을 이용하여 새로운 변수 PC1과 PC2에 대하여 상관성을 분석하였다. 주성분 분석결과 구수한 맛, 감칠맛과 짠맛 그리고 신맛과 매운맛 특성을 갖는 각각의 향신료 그룹을 결정할 수 있었고 이들 각각의 특성을 중심으로 네 가지의 소금 대체용 향신료를 제조하여 소금의 다량 섭취가 우려되는 간고등어 대신 향신료 조합물을 뿌렸을 때 기호도를 조사한 결과 신맛과 매운 맛 특성을 갖는 향신료 조합물의 기호도가 유의차를 나타내며 우수함을 알 수 있었다. 또한 이들 향신료 조합물에 대한 항산화성을 조사한 결과 매운맛과 신맛 특성을 갖는 향신료 조합물의 항산화력이 가장 높은 것으로 나타났다. 따라서 매운맛과 신맛을 특성으로 하는 향신료 조합물은 기호성과 항산화성이 증진 된 천연 소금대체용 향신료 조합물로 사용할 수 있음을 알 수 있었다. 본 실험에서는 관능평가를 이용하여 조합물을 개발하여 소금대체용 향신료의 개발이 가능함을 확인하였고 향후 이 향신료조합물의 화학적 및 임상적 특성에 대한 분석이 필요하다.

• 한국의류학회지
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• 제19권3호
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• pp.448-462
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• 1995

The purpose of this study was on the development of jeans via conjoint analysis and marketing strategies for each segmented market. The questionnaire was composed vervel card and defining the proper marketing strategies for each segmented market. The 269 usable data was distributed to the Univ student and carrier women through multi- stage , ;ambling. The statistical results were processed by the SPSS, PC MDS, and MANZANOLA program. The used methods of statistical data were conjoint analysis, KYST, PROFIT, factor analysis, frequency, one-way ANOVA, SNK, and paired t-test. The results of this study can be summaries as follows: 1. In competitor analysis, Korean brands were in low price zone, but foreign in high price and character style zone. 2. There was significant differences Korean brands and foreign brands on evaluating. On the basis of the perceptual maps, most of Korean brands were evaluated as having a good price and most of foreign brands were evaluated as having a good design. 3. The optimal jeans has the well-known brand, the price of less than 30, 000 won, traditional style, and good quality. In four attributes of clothing buying process, brand is most important attribute of jeans. Segment market 1.All the jeans that they have is Korean brand. Income, amount spent per month on clothing, how many having jeans is low market. Self-centered factor is lowest. In the clothing sari ales lifestyle, they considered most conviniance. Segment market 2-They have one foreign brand jeans. Income, amount spent per month on clothing, how many having jeans is low market. Self-centered factor is lowest Segment market 3-They have two foreign brand jeans. Income, amount spent pet month on clothing, how many having jeans is high market. Self-centered factor is high. In the clothing variables lifestyle, they considered brand, continuance, and character. Segment market 4-They have more than three foreign brand. Income amount spent per month on clothing, and how many having jeans is high market. Self-centered factor is high. In the clothing variables lifestyle, they considered most brand, and character.