• Title/Summary/Keyword: Incremental Simulation

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Incremental Cross Sections for CANDU-PHWR Core Analysis (CANDU-PHWR의 증분단면적 계산방법에 대한 연구)

  • Hang Bok Choi;Seong Yun Kim;Chang Hyun Chung
    • Nuclear Engineering and Technology
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    • v.17 no.2
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    • pp.98-104
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    • 1985
  • A number of reactivity devices are distributed in a CANDU-PHWR core to control the power distribution and excess reactivity. The effects of these devices are represented by incremental cross sections in core analysis. The incremental cross sections are generated by the SUPERCELL code using the two-group constant set calculated by the lattice code, WIMS. The incremental cross sections are then assessed for adjusters and zone controller by core simulation. Reactivity worth and channel powers are compared to the reference values. The deviation of reactivity worth and the maximum channel power are less than 0.97% and 0.6%, respectively, for the initial and equilibrium core.

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Performance Evaluation of Opportunistic Incremental Relaying Systems by using Partial and Full Channel Information in Rayleigh Fading Channels (레일레이 페이딩 채널에서 부분 및 전체 채널 정보를 이용하는 기회전송 증가 릴레이 시스템의 성능)

  • Kim, Nam-Soo
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.13 no.6
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    • pp.71-78
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    • 2013
  • Recently, the opportunistic incremental relaying systems have been studied to improve the system performance effectively in wireless fading channel. Most of the performance analysis of the system includes a source-destination direct link. And there are few analysis which consider source-relay-destination indirect paths only. Therefore this paper proposes a transmission protocol which relays the source information using the selected relay from the partial channel information at the first stage in an opportunistic incremental relaying system. If the transmission fails, the selected best relay from the full channel information retransmits the information to the destination incrementally. The performance of the proposed system is derived analytically and verified from Monte Carlo simulation. The derived results can be applied to the system design and the performance estimation of the mobile systems and the bidirectional TV broadcasting systems which adapt an opportunistic incremental relaying system.

Analysis of Process Parameters in the Incremental Roll Forming Process for the Application to Doubly Curved Ship Hull Plate (점진적 롤 성형 공정의 선박 곡가공 적용을 위한 공정 변수 분석)

  • Shim D. S.;Yoon S. J.;Lee S. R.;Seong D. Y.;Han Y. S.;Han M. S.;Yang D. Y.
    • Proceedings of the Korean Society for Technology of Plasticity Conference
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    • 2005.10a
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    • pp.322-325
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    • 2005
  • In order to make a doubly-cowed sheet metal effectively, the sheet metal forming process has been developed by adopting the flexibility of the incremental forming process and the principle of bending deformation which causes slight deformation in thickness. The developed process is an unconstrained forming process without holder. The experimental equipment has been set up with the roll set which consists of two pairs of support rolls and one center roll. In order to analyze process parameters in the incremental roll forming process for the application to doubly curved ship hull plate, the orthogonal array is adopted. From the FEM results, among the process parameters, the distance between supporting rolls in pairs along the direction of one principal radius of curvature as well as the forming depth is shown to influence the generation of curvature in the same direction significantly. That is, the other distance between supporting rolls in pairs which are not located in the same direction of one principal radius of curvature, does not have an significant effect on the generation of the curvature in that direction. Also, the forming load and torque from the FEM simulation are acceptable to the system development of the incremental roll forming process for the forming of ship hull plate.

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Comparative Study on Description Schemes to Perform Finite Element Analysis in Incremental Forming Process (점진성형의 공정평가를 위한 유한요소해석에서 묘사기법 적용에 관한 비교 연구)

  • Park, Jun-Soo;Byon, Sang-Min
    • Transactions of the Korean Society of Mechanical Engineers A
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    • v.36 no.9
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    • pp.1073-1080
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    • 2012
  • Incremental forming is a cold working process in which a small part of the material is being deformed and the area of local deformation is moving over the entire material. In this paper, we study description schemes to perform finite element analysis for the incremental forming. The selected description schemes to examine are the Lagrangian description and the arbitrary Lagrangian-Eulerian (ALE) description. The sliding boundary scheme coupled with ALE is also examined to overcome the distortion problems of elements on the contact surface. Results show that the ALE description with the sliding boundary scheme is most favorable in overcoming the distortion of elements. This description leads to make the simulation continued to the final stage of the incremental forming. On the other hand, the Lagrangian description as well as the original ALE description makes the elements much distorted and the analysis is stopped long before arriving at the final shape of deformation.

Incremental Cooperative Transmission of Bidirectional Relaying Schemes in Underlay Cognitive Radio (언더레이 인지기술에서 양방향 릴레이 증분 협력 전송에 관한 연구)

  • Kong, Hyung-Yun
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.13 no.3
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    • pp.47-53
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    • 2013
  • In this paper, we propose an incremental cooperative transmission protocol in two-way underlay cognitive radio networks. In the proposed protocol, two secondary sources attempt to transmit their packet to each other with help of a secondary relay under interference constraint. For performance evaluation, we derive exact closed-form expressions of average outage probability over Rayleigh fading channel. Then, we perform Monte Carlo simulations to verify the derivations. Results present that the simulation and theoretical results are in good agreement and the outage performance of the proposed protocol is better than that of two-way direct transmission protocol.

Elastic-Plastic Implicit Finite Element Method Considering Planar Anisotropy for Complicated Sheet Metal Forming Processes (탄소성 내연적 유한요소법을 이용한 평면 이방성 박판의 성형공정해석)

  • Yun, Jeong-Hwan;Kim, Jong-Bong;Yang, Dong-Yeol;Jeong, Gwan-Su
    • Transactions of Materials Processing
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    • v.7 no.3
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    • pp.233-245
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    • 1998
  • A new approach has been proposed for the incremental analysis of the nonsteady state large deformation of planar anisotropic elastic-plastic sheet forming. A mathematical brief review of a constitutive law for the incremental deformation theory has been presented from flow theory using the minimum plastic work path for elastic-plastic material. Since the material embedded coordinate system(Lagrangian quantity) is used in the proposed theory the stress integration procedure is completely objective. A new return mapping algorithm has been also developed from the general midpoint rule so as to achieve numerically large strain increment by successive control of yield function residuals. Some numerical tests for the return mapping algorithm were performed using Barlat's six component anisotropic stress potential. Performance of the proposed algorithm was shown to be good and stable for a large strain increment, For planar anisotropic sheet forming updating algorithm of planar anisotropic axes has been newly proposed. In order to show the effectiveness and validity of the present formulation earing simulation for a cylindrical cup drawing and front fender stamping analysis are performed. From the results it has been shown that the present formulation can provide a good basis for analysis for analysis of elastic-plastic sheet metal forming processes.

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Unsupervised Incremental Learning of Associative Cubes with Orthogonal Kernels

  • Kang, Hoon;Ha, Joonsoo;Shin, Jangbeom;Lee, Hong Gi;Wang, Yang
    • Journal of the Korean Institute of Intelligent Systems
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    • v.25 no.1
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    • pp.97-104
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    • 2015
  • An 'associative cube', a class of auto-associative memories, is revisited here, in which training data and hidden orthogonal basis functions such as wavelet packets or Fourier kernels, are combined in the weight cube. This weight cube has hidden units in its depth, represented by a three dimensional cubic structure. We develop an unsupervised incremental learning mechanism based upon the adaptive least squares method. Training data are mapped into orthogonal basis vectors in a least-squares sense by updating the weights which minimize an energy function. Therefore, a prescribed orthogonal kernel is incrementally assigned to an incoming data. Next, we show how a decoding procedure finds the closest one with a competitive network in the hidden layer. As noisy test data are applied to an associative cube, the nearest one among the original training data are restored in an optimal sense. The simulation results confirm robustness of associative cubes even if test data are heavily distorted by various types of noise.

Design of Filter for Output Signals in Incremental Encoder for Detecting Speed and Position of Motors (전동기 속도 및 위치검출용 증분형 엔코더 출력신호 필터 설계)

  • Ahn Jung-Ryol;Lee Hong-Hee;Kim Heung-Gun;Nho Eui-Cheol;Chun Tae-Won
    • The Transactions of the Korean Institute of Power Electronics
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    • v.10 no.3
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    • pp.290-295
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    • 2005
  • The incremental encoder has been mostly used to measure the speed and position of the motor. As the output signals of encoder are high frequency digital signals, they have much influence on radiation noises due to switching of the power semiconductor circuits. It is so difficult to suppress the noises with the conventional LPF. In this paper, the hardware digital filter for suppressing noises in the output signals of the encoder signals is developed. As both the clock frequency and counter in the digital filter for encoder are easily adjusted according to the kinds of noises, any noises in the encoder can be entirely eliminated. The performance of the digital filter has been verified by simulation and experimental results.

Process Development of the Large-Size Dome Shaped Forging-Products Using the Incremental and Combined Forming Method (점진적 복합성형법을 이용한 대형 돔형 단조품의 공정개발)

  • 박치용;양동열;은일상
    • Transactions of the Korean Society of Mechanical Engineers
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    • v.18 no.7
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    • pp.1685-1696
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    • 1994
  • In this paper, a new forming process of the large-size forgings within the limit of forming loads is developed by introducing the incremental forging method and combined forming method. For the development of the forming process, various related processes are proposed and modelling experiments of plasticine and corresponding numerical simulation ate carried out. Thus, an optimal process considering the productivity and economical efficiency is recommended from the study of formability and forming loads, etc. The selected process is subjected to a modelling experiment of lead and 1/7 scale prototype experiment of the real material so as to verify the effectiveness of a selected process as well as to determine the design parameters. The developed process is then applied the forging product of dome shape. Dome-shaped forgings can be produced by the developed process within the limit loads and with the simple tools.

Incremental Strategy-based Residual Regression Networks for Node Localization in Wireless Sensor Networks

  • Zou, Dongyao;Sun, Guohao;Li, Zhigang;Xi, Guangyong;Wang, Liping
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.16 no.8
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    • pp.2627-2647
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    • 2022
  • The easy scalability and low cost of range-free localization algorithms have led to their wide attention and application in node localization of wireless sensor networks. However, the existing range-free localization algorithms still have problems, such as large cumulative errors and poor localization performance. To solve these problems, an incremental strategy-based residual regression network is proposed for node localization in wireless sensor networks. The algorithm predicts the coordinates of the nodes to be solved by building a deep learning model and fine-tunes the prediction results by regression based on the intersection of the communication range between the predicted and real coordinates and the loss function, which improves the localization performance of the algorithm. Moreover, a correction scheme is proposed to correct the augmented data in the incremental strategy, which reduces the cumulative error generated during the algorithm localization. The analysis through simulation experiments demonstrates that our proposed algorithm has strong robustness and has obvious advantages in localization performance compared with other algorithms.