• Title/Summary/Keyword: Flexible Network

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Stepwise Constructive Method for Neural Networks Using a Flexible Incremental Algorithm (Flexible Incremental 알고리즘을 이용한 신경망의 단계적 구축 방법)

  • Park, Jin-Il;Jung, Ji-Suk;Cho, Young-Im;Chun, Myung-Geun
    • Journal of the Korean Institute of Intelligent Systems
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    • v.19 no.4
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    • pp.574-579
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    • 2009
  • There have been much difficulties to construct an optimized neural network in complex nonlinear regression problems such as selecting the networks structure and avoiding overtraining problem generated by noise. In this paper, we propose a stepwise constructive method for neural networks using a flexible incremental algorithm. When the hidden nodes are added, the flexible incremental algorithm adaptively controls the number of hidden nodes by a validation dataset for minimizing the prediction residual error. Here, the ELM (Extreme Learning Machine) was used for fast training. The proposed neural network can be an universal approximator without user intervene in the training process, but also it has faster training and smaller number of hidden nodes. From the experimental results with various benchmark datasets, the proposed method shows better performance for real-world regression problems than previous methods.

Low-Cost Flexible Strain Sensor Based on Thick CVD Graphene

  • Chen, Bailiang;Liu, Ying;Wang, Guishan;Cheng, Xianzhe;Liu, Guanjun;Qiu, Jing;Lv, Kehong
    • Nano
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    • v.13 no.11
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    • pp.1850126.1-1850126.10
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    • 2018
  • Flexible strain sensors, as the core member of the family of smart electronic devices, along with reasonable sensing range and sensitivity plus low cost, have rose a huge consumer market and also immense interests in fundamental studies and technological applications, especially in the field of biomimetic robots movement detection and human health condition monitoring. In this paper, we propose a new flexible strain sensor based on thick CVD graphene film and its low-cost fabrication strategy by using the commercial adhesive tape as flexible substrate. The tensile tests in a strain range of ~30% were implemented, and a gage factor of 30 was achieved under high strain condition. The optical microscopic observation with different strains showed the evolution of cracks in graphene film. Together with commonly used platelet overlap theory and percolation network theory for sensor resistance modeling, we established an overlap destructive resistance model to analyze the sensing mechanism of our devices, which fitted the experimental data very well. The finding of difference of fitting parameters in small and large strain ranges revealed the multiple stage feature of graphene crack evolution. The resistance fallback phenomenon due to the viscoelasticity of flexible substrate was analyzed. Our flexible strain sensor with low cost and simple fabrication process exhibits great potential for commercial applications.

Saving Tool Cost in Flexible Manufacturing Systems: Optimal Processing Times and Routing Mix (유연생산시스템에서 절삭공구 비용절감을 위한 가공시간과 경로배합 최적화)

  • Kim, Jeong-Seop
    • Proceedings of the Korean Operations and Management Science Society Conference
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    • 2004.05a
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    • pp.475-478
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    • 2004
  • Tool costs can comprise a significant part of the total operating costs of Flexible Manufacturing Systems. We address the problem of determining the optimal processing times of individual operations and routing mix in FMSs with multiple routes for each part type in order to minimize tool cost, subject to meeting a throughput constraint for each part type. The problem is formulated as a nonlinear program superimposed on a closed queueing network of the FMSs under consideration. Numerical examples reveal the potential of our approach for significant saving in tool costs.

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Application of Intelligent Technique for the Efficient Operation of the Flexible Manufacturing System (유연생산시스템의 효율적 운용을 위한 지능적 기법의 적용에 관한 연구)

    • Journal of the Korean Operations Research and Management Science Society
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    • v.24 no.2
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    • pp.1-15
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    • 1999
  • This research involves the development and evaluation of a work flow control model for a type of flexible manufacturing system(FMS) called a flexible flow line(FFL). The control model can be considered as a kind of hybrid intelligent model in that it utilizes both computer simulation and neural network technique. Training data sets were obtained using computer simulation of typical FFL states. And these data sets were used to train the neural network model. The model can easily incorporate particular aspects of a specific FFL such as limited buffer capacity and dispatching rules used. It also dynamically adapts to system uncertainty caused by such factors as machine breakdowns. Performance of the control model is shown to be superior to the random releasing method and the Minimal Part Set(MPS) heuristic in terms of machine utilization and work-in-process inventory level.

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Saving Tool Costs in Flexible Manufacturing Systems: Optimal Processing Times and Routing Mix (유연생산시스템에서 절삭공구 비용절감을 위한 가공시간과 경로배합 최적화)

  • Kim, Jeong seob
    • Journal of Korean Institute of Industrial Engineers
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    • v.30 no.4
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    • pp.328-337
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    • 2004
  • Tool costs can comprise a significant part of the total operating costs of Flexible Manufacturing Systems. We address the problem of determining the optimal processing times of individual operations and routing mix in FMSs with multiple routes for each part type in order to minimize tool cost, subject to meeting a throughput constraint for each part type. The problem is formulated as a nonlinear program superimposed on a closed queueing network of the FMSs under consideration. Numerical examples reveal the potential of our approach for significant saving in tool costs.

Thrust Force Estimation using Flexible Neural Networks

  • Kim, Myeong-Hee;Shigeyasu Kawaji;Masaki Arao
    • 제어로봇시스템학회:학술대회논문집
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    • 2001.10a
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    • pp.47.1-47
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    • 2001
  • The drilling process has a great importance for the production technology due to its widerspread use in the manufacturing industry. In order to enhance a maximum production rate and prevent the drill from the damage, it is important to monitor and control the drilling system. Thrust force and cutting torque are the main output variables in the design of drilling control systems. In this paper, an alternative estimation method of thrust force by using flexible neural networks is proposed. Flexible neural network uses the sigmoid activation function with adjustable parameter in order to enhance the approximation accuracy ...

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Design of an Automatic constructed Fuzzy Adaptive Controller(ACFAC) for the Flexible Manipulator (유연 로봇 매니퓰레이터의 자동 구축 퍼지 적응 제어기 설계)

  • 이기성;조현철
    • Journal of the Korean Institute of Intelligent Systems
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    • v.8 no.2
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    • pp.106-116
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    • 1998
  • A position control algorithm of a flexible manipulator is studied. The proposed algorithm is based on an ACFAC(Automatic Constructed Fuzzy Adaptive Controller) system based on the neural network learning algorithms. The proposed system learns membership functions for input variables using unsupervised competitive learning algorithm and output information using supervised outstar learning algorithm. ACFAC does not need a dynamic modeling of the flexible manipulator. An ACFAC is designed that the end point of the flexible manipulator tracks the desired trajectory. The control input to the process is determined by error, velocity and variation of error. Simulation and experiment results show a robustness of ACFAC compared with the PID control and neural network algorithms.

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A Study on the Application Method of Flexible Pipe for District Heating in Korea (지역난방용 Flexible Pipe 활용방안 연구)

  • Lee, Ki-Seb;Park, Nam-Soo
    • Proceedings of the SAREK Conference
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    • 2008.06a
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    • pp.637-642
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    • 2008
  • The concept of district heating involves centralised heat production where heat is distributed to consumer via a piping network. The objective of this work is to identify the Flexible Pipe from an economy, execution, maintenance point of view. Flexible Pipe has in some countries, especially in Europe, been used for many years in district heating. In spite of years of experience, there still exist doubts about the possibilities of using flexible pipes in district heating applications, mostly because of no experiences in domestic market. The advantage of flexible pipe systems is their flexibility. This holds not only for the inner pipe but also for the total pipe system including insulation and jacket. Even for the largest diameter the minimum radius of curvature is given to 1.5m. The most important difference between flexible pipe systems and preinsulated steel pipes is their simple and quick assembly. Such information could provide a basis for making reasonable hypotheses about consumer preferences, to foam a basis for making future marketing more effective.

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Mobile ATM: A Generic and flexible network infrastructure for 3G mobile services

  • Jun Li;Roy Yates;Dipankar Raychaudhuri
    • Journal of Communications and Networks
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    • v.2 no.1
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    • pp.35-45
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    • 2000
  • this paper presents the concept of "mobile ATM', a proposal for third-generation (3G) mobile communication network infrastructure capable of supporting flexible evolution of radio technologies from today's cellular and data services towards future wireless multimedia services. Mobile ATM provides generic mobility management and QoS-based transport capabilities suitable for integration of multiple radio access technologies including cellular voice. wireless data, and future broadband wireless services. The architecture of a mobile ATM network is outlined in terms of the newly-defined "W-UNI" interface at the radio link and "M-UNI"and "M-UNI" interface which supports unified access for WATM and non-ATM mobile terminals through corresponding interworking functions (IWF) is explained. leading to an understanding of how different radio access technologies are supported by the same ATM-based core network infrastructure. Generic mechanisms for handoff and location management within the core mobile network are discussed. and related protocol extensions over the "W-UNI" and "M-UNI/NNI"interfaces are proposed. the issue of "crossover switch (COS)" selection in mobile ATM is considered, and a unified handoff signaling syntax which supports flexibility in COS selection is described. Typical signaling sequences for call connection and handoff using the proposed protocols are outlined. Experimental results form a proof-of-concept mobile ATM network prototype are presented in conclusion.

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Transparent TIO/Ag NW/TIO Hybrid Electrode Grown on PET for Flexible Organic Solar Cell

  • Seo, Ki-Won;Lee, Ju-Hyun;Na, Seok-In;Kim, Han-ki
    • Proceedings of the Korean Vacuum Society Conference
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    • 2014.02a
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    • pp.394.2-394.2
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    • 2014
  • We fabricated highly transparent and flexible Ti doped In2O3 (TIO)/Ag nanowire(NW)/TIO (TAT) multilayer electrodes by linear facing target sputtering (LFTS) and brush-painting for used as flexible for anode organic solar cells(FOSCs). The characteristics of TAT transparent anode as a function of number of brush-painting cycles was also investigated. At optimized conditions we achieved highly flexible TAT multilayer electrodes with a low sheet resistance of $9.01{\Omega}/square$ and a high diffusive transmittance more than 80% in visible region as well as superior mechanical stability. The effective embedment of the Ag NW network between top and bottom TIO films led to a metallic conductivity, high transparency. Based on FE-SEM HRTEM, and XRD analysis, we can find that the Ag NW network was effectively embedded between top and bottom TIO layers due to good flexibility of Ag NW, the TAT multilayer showed superior flexibility than single TIO layer. Successful operation of FOSCs with high power conversion efficiency of 3.01% indicates that TAT hybrid electrode is a promising alternative to conventional ITO electrode for high performance FOSCs.

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