• Title/Summary/Keyword: transportation matrix

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Efficiency Analysis for Major Ports in Korea and China using Boston Consulting Group and Data Envelopment Analysis Model

  • PHAM, Thi Quynh Mai;Choi, Kyoung-Hoon;Park, Gyei-Kark
    • 한국항해항만학회지
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    • 제42권2호
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    • pp.107-116
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    • 2018
  • Planning strategies to achieve higher competitiveness of ports are becoming increasingly important in business environment. Therefore, strategic competitive position and efficiency analysis needs to be performed to increase ports' effectiveness and competitiveness. This matches with one of targets of new concept e-Navigation to increase the agility and efficiency of ports. The purpose of this study was to apply Boston Consulting Group matrix to analyze competitive positioning of major ports in Korea and China in term of several main cargo types and then use a combination of Data Envelopment Analysis and Principal Component Analysis model to calculate efficiencies. Results show that, at the moment, Chinese ports are still on the top with high position and efficiency score for the representative-Shanghai port. However, result also points out that except container type, Korean ports have chance to compete in other cargo types. Moreover, Gwangyang port is regarded as efficient. It has better position time. It is believed that Gwangyang port together with Busan port can compete with Chinese port in the near future.

Classification of Metro Station Areas Using Multi-Source Big Data: Case Studies in Beijing

  • Shuo Chen;Xiangyu Li
    • 국제초고층학회논문집
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    • 제12권1호
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    • pp.63-74
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    • 2023
  • Large-capacity public transportation systems, represented by urban metro lines, are the key to alleviating the significant increase in urbanization and motorization in China. But to improve the agglomeration effect of metro stations in a more accurate and targeted way requires scientific evaluation and classification of the surrounding areas of metro stations. As spatial and functional design are the core factors for urban renewal design, this study took Beijing as an example, using multi-source data to evaluate the morphology and functional composition surrounding areas of metro stations, and the Boston Consulting Group (BCG) matrix was used to classify and characterize each type of surrounding areas from morphological-functional dimensions. It shows a negative correlation of the mix-use index with the floor area ratio, and only about 20% of the areas achieve the ideal situation of high construction intensity with high mix-use diversity. Hoping to provide a reference for city managers and designers in dealing with the surrounding metro stations with different construction intensities in a more precise way.

Advanced Channel Estimation Method for IEEE 802.11p/WAVE System

  • Jang, DongSeon;Ko, Kyunbyoung
    • International Journal of Contents
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    • 제15권4호
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    • pp.27-35
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    • 2019
  • In this paper, we propose an advanced Minimum Mean Square Error (MMSE) channel estimation method for IEEE 802.11p/Wireless Access in Vehicular Environments (WAVE) systems. To improve the performance of MMSE method, we apply the Weighted Sum using Update Matrix (WSUM) scheme to the step of calculating the instantaneously estimated channel and then, a time domain selectively averaging method is applied after the WSUM scheme. Based on that, the accuracy of instantaneously estimated channel increases and then, the accuracy of auto covariance matrix also increases. Consequently, we can achieve the performance gain over the conventional MMSE method. Through simulations based on the IEEE 802.11p standard, it is confirmed that the proposed scheme can outperform the existing channel estimation schemes.

Monitoring of Bioluminescent Lactobacillus plantarum in a Complex Food Matrix

  • Moon, Gi-Seong;Narbad, Arjan
    • 한국축산식품학회지
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    • 제37권1호
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    • pp.147-152
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    • 2017
  • A bioluminescent Lactobacillus plantarum (pLuc2) strain was constructed. The luminescent signal started to increase during the early exponential phase and reached its maximum in the mid-exponential phase in a batch culture of the strain. The signal detection sensitivity of the strain was the highest in PBS (phosphate buffered saline), followed by milk and MRS broth, indicating that the sensitivity was influenced by the matrix effect. The strain was used in millet seed fermentation which has a complex matrix and native lactic acid bacteria (LAB). The luminescent signal was gradually increased until 9 h during fermentation and abolished at 24 h, indicating that the strain could be specifically tracked in the complex matrix and microflora. Therefore, the bioluminescent labeling system can be used for monitoring LAB in food and dairy sciences and industries.

공간정보와 통합 스마트카드 자료를 활용한 도시철도 역사 보행 기종점 분석 기법 개발 (A Comprehensive Framework for Estimating Pedestrian OD Matrix Using Spatial Information and Integrated Smart Card Data)

  • 정은비;유소영;이준;김경태
    • 대한교통학회지
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    • 제35권5호
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    • pp.409-422
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    • 2017
  • TOD (Transit-Oriented Development)는 대중교통 중심의 복합기능을 가진 집약적인 도시구조이며, 미래지향형 지속가능한 도시를 유지하기 위해 제시되는 개념이다. 최근 도시철도 역사를 중심으로 복합 환승센터 개발이 활발히 추진되고 있으며, 사업의 규모와 복잡성으로 인해 보다 과학적이고 객관적인 분석을 통한 계획과 유지관리 등이 요구되고 있다. 이에 따라, 본 연구에서는 공간정보와 통합 스마트카드 자료를 활용하여 도시철도 역사 보행 기종점 추정을 위한, 표준화된 분석 절차를 개발하고자 하였으며, 삼성역 사례 분석을 통해 제시된 분석 절차 및 방법에 대한 검증을 수행하였다. 본 연구에서 제시된 분석 절차는 자료 수집 기술과 빅데이터 DB 분석 기법 발전에 따라 유기적 확장 가능한 분석 환경을 마련하였다는 데 큰 의의를 가진다.

기종점 수요추정을 위한 교통량 관측지점의 적정위치 선정 (Selection of the Optimal Location of Traffic Counting Points for the OD Travel Demand Estimation)

  • 이승재;이헌주
    • 대한교통학회지
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    • 제21권1호
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    • pp.53-63
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    • 2003
  • 관측교통량을 이용하여 추정된 OD의 오차는 관측링크집합에 크게 의존하기 때문에 얼마나 많은 수의 관측장비를 어느 지점에 위치시켜야 신뢰성을 확보할 수 있는가를 파악하는 것이 중요하다. 즉 교통량 관측지점의 위치와 개수에 따라 OD추정이 변하기 때문에 관측지점의 적정한 위치와 지점수를 산정하는 연구가 필요하다고 판단되어 본 연구는 기종점 교통수요(OD)를 추정하기 위해 교통수요추정의 정확도에 직접적으로 영향을 미치는 교통량 관측지점의 적정위치와 지점수를 선정하였다. 대안별 교통량 관측위치가 선정된 결과를 통계적인 평가지표를 이용하여 사전OD와 추정OD간의 오차를 평가하였다. 오차평가결과, 관측교통량을 이용하여 사전OD를 갱신할 때 관측교통량에 대한 관측지점의 위치 및 개수가 적정하게 반영되어 추정된 OD가 사전OD의 통행패턴을 어느 정도 잘 반영하고 있음을 알 수 있었다. 따라서 관측교통량을 이용하여 기종점간 교통수요(OD)를 추정할 때 사전OD의 통행패턴 및 특성을 잘 반영하기 위해서는 교통량 관측위치의 적정지점 및 개수선정이 중요한 요인이라고 판단된다.

최신 금속복합재료의 연구 개발 동향 및 응용 현황 (Recent Trends and Application Status of the Metal Matrix Composites (MMCs))

  • 김효섭
    • 한국분말재료학회지
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    • 제27권2호
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    • pp.164-173
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    • 2020
  • Metal matrix composites (MMCs), which are a combination of two or more constituents with different physical or chemical properties, are today receiving great attention in various areas, as they have high specific strength, corrosion resistance, fatigue strength, and good tribological properties. This paper presents a research review on the combination of matrix and reinforced materials, fabrication processes, and application status of metal matrix composites. In this paper, we aim to discuss and review the importance of metal composite materials as advanced materials that can be used in various applications such as transportation, defense, sports, and extreme environments. In addition, the applicability and technology development trends in new process technology fields such as additive manufacturing of metal composites will be described.

GPU 기반 행렬 덧셈 및 스칼라 곱셈 알고리즘 (Matrix Addition & Scalar Multiplication on the GPU)

  • 박상근
    • 융복합기술연구소 논문집
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    • 제8권1호
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    • pp.15-20
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    • 2018
  • Recently a GPU has acquired programmability to perform general purpose computation fast by running thousands of threads concurrently. This paper presents a parallel GPU computation algorithm for dense matrix-matrix addition and scalar multiplication using OpenGL compute shader. It can play a very important role as a fundamental building block for many high-performance computing applications. Experimental results on NVIDIA Quad 4000 show that the proposed algorithm runs 21 times faster than CPU algorithm and achieves performance of 16 GFLOPS in single precision for dense matrices with size 4,096. Such performance proves that our algorithm is practical for real applications.

Service life prediction of chloride-corrosive concrete under fatigue load

  • Yang, Tao;Guan, Bowen;Liu, Guoqiang;Li, Jing;Pan, Yuanyuan;Jia, Yanshun;Zhao, Yongli
    • Advances in concrete construction
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    • 제8권1호
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    • pp.55-64
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    • 2019
  • Chloride corrosion has become the main factor of reducing the service life of reinforced concrete structures. The object of this paper is to propose a theoretical model that predicts the service life of chloride-corrosive concrete under fatigue load. In the process of modeling, the concrete is divided into two parts, microcrack and matrix. Taking the variation of mcirocrack area caused by fatigue load into account, an equation of chloride diffusion coefficient under fatigue load is established, and then the predictive model is developed based on Fick's second law. This model has an analytic solution and is reasonable in comparison to previous studies. Finally, some factors (chloride diffusion coefficient, surface chloride concentration and fatigue parameter) are analyzed to further investigate this model. The results indicate: the time to pit-to-crack transition and time to crack growth should not be neglected when predicting service life of concrete in strong corrosive condition; the type of fatigue loads also has a great impact on lifetime of concrete. In generally, this model is convenient to predict service life of chloride-corrosive concrete with different water to cement ratio, under different corrosive condition and under different types of fatigue load.