• 제목/요약/키워드: .Net

검색결과 13,167건 처리시간 0.044초

일반역행열(一般逆行列)을 이용(利用)한 케이블네트 구조물(構造物)의 형상결정에 관한 연구 (A Study on the Shape Finding of Cable-Net Structures Introducing General Inverse Matrix)

  • 서삼열;이장복
    • 한국공간구조학회논문집
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    • 제2권1호
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    • pp.75-84
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    • 2002
  • In this study, the 'force density method' for shape finding of cable net structures is presented. This concept is based on the force-length ratios or force densities which are defined for each branch of the net structures. This method renders a simple linear 'analytical form finding' possible. If the free choice of the force densities is restricted by further condition, the linear method is extended to a nonlinear one. The nonlinear one can be applied to the detailed computation of networks. In this paper, the general inverse matrix is introduced to solve the nonlinear equilibrium equation including Jacobian matrix which is rectangular matrix. Several examples for linear and nonlinear analysis applied additional constraints are presented. It is shown that the force density method is suitable for form finding of cable net and the general inverse matrix can be applied to solve the nonlinear equation without Lagrangian factors.

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페트리네트를 이용한 분해경로 생성에 관한 연구 (A Study on Disassembly Path Generation Using Petri Net)

  • 이화조;주해호;경기현
    • 한국정밀공학회지
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    • 제17권2호
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    • pp.176-184
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    • 2000
  • Possible representation methods for the product structure have been compared and analyzed to determine optimal disassembly path of a product. Petri net is selected as the most optimal method to represent disassembly path of the product. In this method, a reachability tree for the product is generated and disassembly time for each path is calculated. A path with the smallest disassembly time is selected as the optimal path. A software far DPN(Disassembly Petri Net) has been developed and applied to search the optimal disassembly path for a ballpoint pen disassembly process as an example.

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ResNet 모델을 이용한 눈 주변 영역의 특징 추출 및 개인 인증 (Feature Extraction on a Periocular Region and Person Authentication Using a ResNet Model)

  • 김민기
    • 한국멀티미디어학회논문지
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    • 제22권12호
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    • pp.1347-1355
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    • 2019
  • Deep learning approach based on convolution neural network (CNN) has extensively studied in the field of computer vision. However, periocular feature extraction using CNN was not well studied because it is practically impossible to collect large volume of biometric data. This study uses the ResNet model which was trained with the ImageNet dataset. To overcome the problem of insufficient training data, we focused on the training of multi-layer perception (MLP) having simple structure rather than training the CNN having complex structure. It first extracts features using the pretrained ResNet model and reduces the feature dimension by principle component analysis (PCA), then trains a MLP classifier. Experimental results with the public periocular dataset UBIPr show that the proposed method is effective in person authentication using periocular region. Especially it has the advantage which can be directly applied for other biometric traits.

페트리 넷을 이용한 제조 셀의 성능평가 (Petri Net based Performance Evaluation of Manufacturing Cell)

  • 김태운;서윤호;신동목
    • 산업공학
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    • 제17권spc호
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    • pp.152-159
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    • 2004
  • The Purpose of this paper is to propose performance evaluation schemes of flexible manufacturing cell using a generalized stochastic Petri net. In the competitive and global manufacturing environment, to evaluate the feasibility and manufacturability of a product in the product design stage is highly required. Through this process, all the possible problems which may occur in the manufacturing stage can be fixed in early stage. The scheme of generalized stochastic Petri net utilizing both immediate and exponential distributed transitions are applied to model a manufacturing cell with flexible machines, material handler, transporter and buffers. Performance analyses are performed based on behavioral, structural and quantitative properties. A flexible manufacturing cell is evaluated using a Petri net simulator.

Petri-Net 을 이용한 FMS 제어 및 모니터링 (FMS Control and Monitoring using Petri Net)

  • 김고중;정무영;조현보
    • 대한산업공학회지
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    • 제21권1호
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    • pp.137-151
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    • 1995
  • A difficult problem in operating Flexible Manufacturing Systems (FMS) is to control the system in real-time by coordinating heterogeneous machines and integrating distributed information. The objective of the paper is to present the models and methodologies useful to resolve the difficult problem. The detailed objectives can be described in three folds. First, a hierarchical Colored and Timed Petri-Net (CTPN) is designed to control an FMS in real-time. The concerned FMS consists of a loading station, several machining cells, a material handling system, and an unloading station. Timed-transitions are used to represent the timed-events such as AGV movements between stations and cells, part machining activities in the cells. Signal places are also used to represent communication status between the host and the cell controllers. To resolve the event conflicts and scheduling problems, dispatching rules are introduced and applied. Second, an implementation methodology used to monitor and diagnose the errors occurring on the machines during system operation is proposed. Third, a Petri-Net simulator is developed to experiment with the designed control logic.

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ESTIMATION OF NET GROUND WATER RECHARGE IN LARGE AQUIFER SYSTEMS BY GENETIC ALGORITHM: A CASE STUDY

  • K. Lakshmi Prasad;A. K. Rastogi
    • Water Engineering Research
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    • 제2권3호
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    • pp.161-169
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    • 2001
  • Present study deals with the development of a numerical model for the estimation of net annual recharge by coupling the Galerkin's finite element flow simulationl model with the Gauss-Newton-Marquardt optimization technique. The developed coupled numerical model is applied for estimating net annual recharge for Mahi Right Bank Canal (MRBC) project the norms of Groundwater Resources Estimation committee (1984, 1997) and Indian Agricultural research Institute(1983). It is observed that the estimated net recharge by inverse modeling is closer to the net recharge estimated using the water balance approach. Further it is observed that the computed head distribution from the estimated recharge agree closely with the observed head distribution. The study concludes that the developed model for inverse modeling can be successfully applied to large groundwater system involving regional aquifers where reliable recharge estimation always requires considerable time and financial resources.

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생분해성 대게 자망 시범사업의 경제성 분석 (Economic analysis of biodegradable snow crab gill net model project)

  • 박성쾌;박성욱;권혁준
    • 수산해양기술연구
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    • 제45권4호
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    • pp.276-286
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    • 2009
  • The main purpose of this research is to analyze economic feasibility of biodegradable sonw crab gill net model project. The results of benefit/cost analysis show that use of the biodegradable gear is economically feasible. Assuming that the rate of gill net lost is 5 percent, net present value was estimated 311,898,282-590,533,375won, benefit-cost ratio 1.816-1.923 and internal rate of return 7.96-10.59%. The development and diffusion of biodegradable fishing gear appear to make a significant contribution to fisheries resource conservation and marine ecosystem protection. In addition, biodegradable gear production firms may have a good opportunity of exporting it to other coastal states, depending on the progress of WTO subsidy negotiation.

2[MVA] 배전용 몰드변압기의 글라스넷 형상 최적설계 (Optimum Design of Glass Net in 2[MVA] Mold Transformer)

  • 전문호;김창업
    • 조명전기설비학회논문지
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    • 제25권1호
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    • pp.107-112
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    • 2011
  • In this paper, the optimum design of the glass net shape was studied to minimize the electric field of mold transformer. The glass net is used for reinforcement in structure between coils and epoxy, but it can cause to increase the electric field and the partial discharge. Therefore, the optimum design of glass net is required to minimize the electric field. In this paper, the objective function was approximated by using response surface method and then Zoom-in method was used for optimal design to minimize the electric field. The electric field was analysed using finite element method for each shape of glass nets.

열연 마무리 압연기에서 압연속도 학습보상기능개선을 위한 신경망형 공정 모델 (A Neural Net Type Process Model for Enhancing Learning Compensation Function in Hot Strip Finishing Rolling Mill)

  • 홍성철;이해영
    • 조명전기설비학회논문지
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    • 제27권6호
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    • pp.59-67
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    • 2013
  • This paper presents a neural net type process model for enhancing learning compensation function in hot strip finishing rolling mill. Adequate input and output variables of process model are chosen, the proposed model was designed as single layer neural net. Equivalent carbon content, strip thickness and rolling speed are suggested as input variables, and looper's manipulation variable is proposed as output variable. According to simulation result using process data to show the validity of the proposed process model, neural net type process model's outputs give almost similar data to process output under same input conditions.

A REMOTE COURSEWARE MANAGEMENT SYSTEM THROUGH THE APPLICATION OF WEB BASED ASP.NET

  • Kim, Hye-Young;Kim, Young-Jin;Park, Heung-Kook
    • 한국멀티미디어학회논문지
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    • 제6권4호
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    • pp.638-649
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    • 2003
  • In this monograph, we developed a Remote Courseware Management System so we can more easily cultivate a courseware with various multimedia applications through an easy interface with the internt. In the view of Developer of view, we could develop RCMS rapidly using the application of ASP.NET and have tried to adapt ourself to the future environment using it. ASP.NET provides much richer event programming model than ASP and event processor which are executed on Server. In the view of User, they can used the Internet service with equipment that they want at any place and any time. To control any kinds of courseware for Administrator and Users, we offered a variety of Multimedia applications and an easy interface and built a new style of web courseware.

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