• 제목/요약/키워드: engineering information

검색결과 83,033건 처리시간 0.081초

ANALYZING EFFECTIVE FACTOR OF THE CHANGE MANAGEMENT BASED ON URBAN REGENERATION PROJECT IN REPUBLIC OF KOREA

  • Jae-Pil Seo;Yoon-Ki Choi;Bo-Sik Son;Han-Guk Ryu
    • 국제학술발표논문집
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    • The 4th International Conference on Construction Engineering and Project Management Organized by the University of New South Wales
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    • pp.591-596
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    • 2011
  • There are quite a number of business processes in the urban regeneration project. Managers and participants who involved in the project make and use information for the best way to perform in the particular business process. The information can be also reused and produced for data at the next stage. Accordingly, the information sometimes goes out of existence and work data up into new information when the urban regeneration project has been accomplished. But in that case some of changes happen occasionally, the business for urban regeneration has suffered a loss of profit and time as result of confusions about decisions and inappropriate action. For that reason, the information should be analyzed to achieve its aim at the business process under the influence of changes. Then, even though detail processes and management method change, the Core Information, which are important factors for accomplishing the project, help that the project can be operated to solve the problem about confusion and loss of the business. In conclusion, the Core Information is main effective factors for successful urban regeneration projects on the change management. The purpose of this study is to research the information according to the Information-flow and changes, and to find out the influence factors and the Core Information to manage efficiently at the process of urban regeneration projects.

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An Overall Product Design Process Using Robust Design and Analytic Hierarchy Process (AHP)

  • Nguyen, Nhu-Van;Azamatov, Adulaziz;Tran, Si Bui Quang;Choi, Seok-Min;Lee, Jae-Woo;Byun, Yung-Hwan
    • 시스템엔지니어링학술지
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    • 제3권2호
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    • pp.39-48
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    • 2007
  • In this study, an overall product design process will be presented by using the Analytic Hierarchy Process(AHP) and robust design. From the conceptual design stage, the logical methods are used to select the appropriate concepts satisfying the customer requirements and the other conditions. The next phase is the embodiment design phase in which the deterministic and robust design approach are used to obtain the improvement in product design. Typically, this approach is applied for developing the simple bookshelf design. The results show the efficient approach which can be supported to develop the new product.

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A New Product Development Using Robust Design and Decision Making Process

  • Lin, Than;Doan, Trieu An;Vu, Ngoc Anh;Cho, Guk-Hyun;Lee, Jae-Woo;Byun, Yung-Hwan
    • 시스템엔지니어링학술지
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    • 제3권1호
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    • pp.41-48
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    • 2007
  • This paper presents a design methodology for developing a new push scooter. A case study is clone with effective planning processes to ensure the product quality under the different phases of a product design process. Parametric model based design process simulation and optimization is implemented by using ANSYS application tool. The relationship matrix and decision matrix are drawn by using several methods. The simulation results for deterministic design and robust design are compared. This entire design process phase can support the design and quality improvements for a new product development.

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CNN에서 훈련 및 시험 영상 수에 따른 정확도 분석 (Accuracy Analysis according to the Number of Training and Testing Images on CNN)

  • 공준배;황태희;장민석;이연식
    • 한국컴퓨터정보학회:학술대회논문집
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    • 한국컴퓨터정보학회 2019년도 제60차 하계학술대회논문집 27권2호
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    • pp.281-284
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    • 2019
  • 본 논문은 CNN (Convolution Neural Networks)의 첫 번째 컨볼루션층(convolution layer)을 RGB-csb(RGB channel separation block)로 대체하여 입력 영상의 RGB 값을 특징 맵에 적용시켜 정확성을 제고시킬 수 있는 선행연구 결과에 추가적으로, 훈련 및 시험 영상 수에 따른 분석을 통하여 정확도 향상방법을 제안한다. 제안한 방법은 영상의 개수가 작을수록 각 학습 간의 정확도 편차가 크게 나타나는 불안정성은 있지만 기존 CNN모델에 비하여 정확도 차이가 증가함을 알 수 있다.

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Characterization of Ultrathin Gate Dielectrics for Nanoscale CMOS Applications

  • Yoon, Gi-Wan;Mai, Linh;Lee, Jae-Young
    • Journal of information and communication convergence engineering
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    • 제5권2호
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    • pp.109-111
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    • 2007
  • In this paper, MOS devices with ultrathin gate dielectrics (5.5 nm) are characterized and compared with those with conventional oxides particularly for nanoscale CMOS applications. Nitrogen concentrations and profiles in the nitride gate dielectrics were obtained that will play an important role in improving both hot-carrier lifetime and resistance to boron penetration. This approach seems very useful for future nanoscale CMOS device applications.

Energy-Efficient Traffic Grooming in Bandwidth Constrained IP over WDM Networks

  • Chen, Bin;Yang, Zijian;Lin, Rongping;Dai, Mingjun;Lin, Xiaohui;Su, Gongchao;Wang, Hui
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제12권6호
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    • pp.2711-2733
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    • 2018
  • Minimizing power consumption in bandwidth limited optical traffic grooming networks is presented as a two-objective optimization problem. Since the main objective is to route a connection, the network throughput is maximized first, and then the minimum power consumption solution is found for this maximized throughput. Both transparent IP over WDM (Tp-IPoWDM) and translucent IP over WDM (Tl-IPoWDM) network may be applied to examine such bi-objective algorithms. Simulations show that the bi-objective algorithms are more energy-efficient than the single objective algorithms where only the throughput is optimized. For a Tp-IPoWDM network, both link based ILP (LB-ILP) and path based ILP (PB-ILP) methods are formulated and solved. Simulation results show that PB-ILP can save more power than LB-ILP because PB-ILP has more path selections when lightpath lengths are limited. For a Tl-IPoWDM network, only PB-ILP is formulated and we show that the Tl-IPoWDM network consumes less energy than the Tp-IPoWDM network, especially under a sparse network topology. For both kinds of networks, it is shown that network energy efficiency can be improved by over-provisioning wavelengths, which gives the network more path choices.

A 4-Channel Multi-Rate VCSEL Driver with Automatic Power, Magnitude Calibration using High-Speed Time-Interleaved Flash-SAR ADC in 0.13 ㎛ CMOS

  • Cho, Sunghun;Lee, DongSoo;Lee, Juri;Park, Hyung-Gu;Pu, YoungGun;Yoo, Sang-Sun;Hwang, Keum Cheol;Yang, Youngoo;Park, Cheon-Seok;Lee, Kang-Yoon
    • JSTS:Journal of Semiconductor Technology and Science
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    • 제16권3호
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    • pp.274-286
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    • 2016
  • This paper presents a 4-channel multi-rate vertical-cavity surface-emitting laser (VCSEL) driver. In order to keep the output power constant with respect to the process, voltage, temperature (PVT) variations, this research proposes automatic power and magnitude. For the fast settling time, the high-speed 10-bit time-interleaved Flash-successive approximation analog to digital converter (Flash-SAR ADC) is proposed and shared for automatic power and magnitude calibration to reduce the die area and power consumption. This chip is fabricated using $0.13-{\mu}m$ CMOS technology and the die area is $4.2mm^2$. The power consumption is 117.84 mW per channel from a 3.3 V supply voltage at 10 Gbps. The measured resolution of bias /modulation current for APC/AMC is 0.015 mA.

효율적인 실내 측위를 위한 KNN/SVM 알고리즘 (Optimized KNN/SVM Algorithm for Efficent Indoor Location)

  • 강일우;로네쉬;전성민;박선;이성호;나영화;배진수;정민아;이연우;이성로
    • 한국정보처리학회:학술대회논문집
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    • 한국정보처리학회 2011년도 추계학술발표대회
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    • pp.602-605
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    • 2011
  • 현재 측위에 대한 측정 대상이 점점 작아지면서, 그에 따른 정확도 까지 높아지고 있다. 실내 측위에 관한 기술은 대표적으로 단말기의 수신신호의 세기방식인 RSS(Received Signal Strength), 수신신호의 도달시간 방식 TOA(Time of Arrival), 수신 신호의 도달 시간차 방식 TDOA(Time Difference of Arrival), 수신신호의 입사각 방식인 AOA(Angle of Arrival) 등 여러 가지 기술이 활발히 진행되고 있다. 본 논문은 특수 장비를 사용하지 않고, 무선 네트워크 기반의 실내 측위 중에 정확도가 높은 Fingerprinting 방법을 택하였다. WLAN 기반 실내측위에 가장 많이 사용되는 KNN은 k개의 이웃수와 RP의 수에 따라 민감하다. 본 논문에서는 KNN 성능을 향상 시키기 위해 SVM 이용하여 SNR 데이터를 군집화를 적용한 KNN과 SVM을 혼합한 알고리즘을 제안하였다. 제안한 알고리즘은 신호잡음비 데이터를 KNN 방법에 적용하여 k개의 RP를 선택한 후 선택된 RP의 신호잡음비를 SVM에 적용하여 k개의 RP를 군집하여 분류한다. 실험 결과 위치 오차가 2m이내에 KNN/SVM 혼합 알고리즘이 KNN 알고리즘보다 성능이 우수하다.