• Title/Summary/Keyword: Weight Method

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The Using of Self-organizing Feature Map for Global Path Planning of Mobile Robot (이동로봇의 전역 경로계획에서 Self-organizing Feature Map의 이용)

  • Cha, Young-Youp;Kang, Hyon-Gyu
    • Proceedings of the KSME Conference
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    • 2004.11a
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    • pp.817-822
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    • 2004
  • This paper provides a global path planning method using self-organizing feature map which is a method among a number of neural network. The self-organizing feature map uses a randomized small valued initial weight vectors, selects the neuron whose weight vector best matches input as the winning neuron, and trains the weight vectors such that neurons within the activity bubble are move toward the input vector. On the other hand, the modified method in this research uses a predetermined initial weight vectors, gives the systematic input vector whose position best matches obstacles, and trains the weight vectors such that neurons within the activity bubble are move toward the input vector. According to simulation results one can conclude that the modified neural network is useful tool for the global path planning problem of a mobile robot.

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Self-organizing Feature Map for Global Path Planning of Mobile Robot (이동로봇의 전역 경로계획을 위한 Self-organizing Feature Map)

  • Jeong Se-Mi;Cha Young-Youp
    • Journal of the Korean Society for Precision Engineering
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    • v.23 no.3 s.180
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    • pp.94-101
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    • 2006
  • A global path planning method using self-organizing feature map which is a method among a number of neural network is presented. The self-organizing feature map uses a randomized small valued initial weight vectors, selects the neuron whose weight vector best matches input as the winning neuron, and trains the weight vectors such that neurons within the activity bubble are moved toward the input vector On the other hand, the modified method in this research uses a predetermined initial weight vectors of 1-dimensional string and 2-dimensional mesh, gives the systematic input vector whose position best matches obstacles, and trains the weight vectors such that neurons within the activity bubble are moved toward the input vector. According to simulation results one can conclude that the modified neural network is useful tool for the global path planning problem of a mobile robot.

The Optimum Design of Ship Structures(1st Report) -Minimum Weight Design of Brackets- (선체구조(船體構造)의 최적설계(最適設計)(제1보)(第1報) -Bracket의 최소중량설계(最小重量設計)-)

  • Chang-Doo,Jang;Seung-Soo,Na
    • Bulletin of the Society of Naval Architects of Korea
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    • v.21 no.4
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    • pp.29-39
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    • 1984
  • In this paper, the membrane and buckling analysis of beams with various shaped brackets is performed by using the finite element method. From the viewpoint of minimum structural weight, a optimum design method to determine the optimal shapes and scantling of brackets under design load is proposed by investigating the effects of beam depth, bracket length and aspect ratio on the structural weight. Also optimal design data and charts for the brackets to support transverse girders or web frames of actual ships are provided. By the present design method, it is possible to perform optimum design of brackets used in actual ships, which could result in considerable reduction of structural weight or cost, increase of dead weight and service speed of ships.

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Weight control behavior in women college students and factors influencing behavior (일부 여대생의 체중조절행위와 영향 요인)

  • Yang, Hyun-Young;Byeon, Young-Soon
    • Journal of Korean Academy of Fundamentals of Nursing
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    • v.19 no.2
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    • pp.190-200
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    • 2012
  • Purpose: The purpose of this study was to provide basic data for the development of weight control programs to maintain and promote healthy behavior in women college students by identifying their weight control behaviors and factors that influence these behaviors. Method: Data were collected from 300 women student participants and were analyzed using descriptive statistics, t-test, ANOVA, Pearson correlation coefficients, and multiple regression with the SPSS 18.0 program. Result: Weight control behavior showed a significant difference according to participants' gender role identity type. Weight control behaviors were correlated with self-efficacy, body image, objective BMI, and ideal BMI. Factors influencing weight control behavior were self-efficacy (${\beta}$= .449, $p$<.001), secret method for weight loss (${\beta}$= .181, $p$<.001), monthly allowance below 200,000 won (${\beta}$= .156, $p$= .006), weight control support from others (${\beta}$= .124, $p$= .013), eating breakfast (${\beta}$= .119, $p$= .015), and age (${\beta}$= .113, $p$= .023) with R-sq. value of 45.3%. Conclusion: The results of the study indicate that development of interventions for weight control behavior and health education for college women should reflect identified factors influencing weight control behavior and gender role identity.

A Study on the Applicability of Hyperbolic Settlement Prediction Method to Consolidation Settlement in the Dredged and Reclaimed Ground (준설매립지반의 압밀침하에 대한 쌍곡선 침하예측기법의 적용성 연구)

  • Yoo, Nam-Jae;Jun, Sang-Hyun;Jeon, Jin-Yong
    • Journal of Industrial Technology
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    • v.28 no.A
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    • pp.11-17
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    • 2008
  • Applicability of hyperbolic settlement prediction method to consolidation settlement in the dredged and reclaimed ground was assessed by analyzing results of centrifuge tests modelling self-weight consolidation of soft marine clay. From literature review about self-weight consolidation of soft marine clays located in southern coast in Korea, constitutive relationships of void ratio - effective stress - permeability and typical self-weight consolidation curves with time were obtained by analyzing centrifuge model experiments. For the condition of surcharge loading, exact solution of consolidation settlement curve obtained by using Terzaghi's consolidation theory was compared with results predicted by the hyperbolic method. It was found to have its own inherent error to predict final consolidation settlement. From results of analyzing thc self-weight consolidation with time by using this method, it predicted relatively well in error range of 0.04~18% for the case of showing the linearity in the relationship between T vs T/S in the stage of consolidation degree of 60~90 %. However, it overestimated the final settlement with large errors if those relation curves were nonlinear.

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An Evaluation of the Tolerance of the Static Characteristics for Light Weight Torpedoes (경어뢰의 정특성 허용오차 산정)

  • 나영인
    • Journal of the Korea Institute of Military Science and Technology
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    • v.5 no.2
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    • pp.149-158
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    • 2002
  • Static Characteristics of the system, such as weight, center of gravity etc., are inspected and regulated through the whole design process of a light weight torpedo system, and the nominal condition of the characteristics is prescribed for standardization of manufacturing and fabrication. It is possible that a real system or assembled system has different static characteristics from that of the nominal condition. It is required to evaluate the tolerance of the static characteristics within which the performance of the system should not be contaminated by the static characteristics. In this paper, an evaluation method of the tolerance is described for light weight torpedo systems. The method is to check on the performance and related critical parameters of light weight torpedoes. The checking items are composed of general conditions of underwater mobile systems such as stability and dynamic sensitivity and specified performance requirements for light weight torpedoes.

A Study on the Vibration Analysis of a Power Transmission by Substructure Synthesis Method (부분구조합성에 의한 동력전달기의 진동해석에 관한 연구)

  • 박석주;박성현;박영철
    • Proceedings of the Korean Society for Noise and Vibration Engineering Conference
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    • 2001.11a
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    • pp.161-166
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    • 2001
  • This study intends to reduce the weight of structure without changing the dynamic characteristics. At first, the Vibration analyses by the Substructure Synthesis Method and FEM using the ANSYS are performed for the engine speed converter to confirm the reliability of the analyzing tools. Weight minimization is performed by the Sensitivity Analysis and the Optimum Structural Modification. To decrease the converter weight ideally, the parts with low sensitivity are to be cut mainly, and the changing quantity of the natural frequency by the cut is to be recovered by the weight modification of the parts with high sensitivity. As the unique mathematical solution for the homogeneous problem( i.e. 0 object function problem) does not exist, the converter is redesigned with much thinner initial thickness. The goal of this study is to recover the dynamic characteristics of redesigned structure to those of the original one. To say in the other words, the modified structure has the same dynamic characteristics and the more lighter weight to compare with the original one. In this analysis, the modification was performed with the redesigned initial thickness of 60 mm and 70 mm. And the numbers of the interesting natural frequencies are 1, 2, 4 respectively. Consequently 27% of weight reduction effects were earned.

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Improvement of Test Method for t-ws Falult Detect (t-ws 고장 검출을 위한 테스트 방법의 개선)

  • 김철운;김영민;김태성
    • Electrical & Electronic Materials
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    • v.10 no.4
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    • pp.349-354
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    • 1997
  • This paper aims at studying the improvement of test method for t-weight sensitive fault (t-wsf) detect. The development of RAM fabrication technology results in not only the increase at device density on chips but also the decrease in line widths in VLSI. But, the chip size that was large and complex is shortened and simplified while the cost of chips remains at the present level, in many cases, even lowering. First of all, The testing patterns for RAM fault detect, which is apt to be complicated , need to be simplified. This new testing method made use of Local Lower Bound (L.L.B) which has the memory with the beginning pattern of 0(l) and the finishing pattern of 0(1). The proposed testing patterns can detect all of RAM faults which contain stuck-at faults, coupling faults. The number of operation is 6N at 1-weight sensitive fault, 9,5N at 2-weight sensitive fault, 7N at 3-weight sensitive fault, and 3N at 4-weight sensitive fault. This test techniques can reduce the number of test pattern in memory cells, saving much more time in test, This testing patterns can detect all static weight sensitive faults and pattern sensitive faults in RAM.

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An Evaluation Method on Enterprise Using Fuzzy Integral (퍼지적분을 이용한 기업평가법)

  • 황승국
    • Journal of Korean Society of Industrial and Systems Engineering
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    • v.19 no.40
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    • pp.271-280
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    • 1996
  • This paper presents an evaluation method on enterprise using fuzzy integral which is defined by fuzzy measures. The weight of criteria is computed by eigenvector method. And, using this calculated weight, the total evaluation value is obtained from the weight of by means of Pl & Bel measures. This value means the level on enterprise's situation considering from the viewpoint of evaluation factors.

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A METHOD FOR ADJUSTING ADAPTIVELY THE WEIGHT OF FEATURE IN MULTI-DIMENSIONAL FEATURE VECTOR MATCHING

  • Ye, Chul-Soo
    • Proceedings of the KSRS Conference
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    • v.2
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    • pp.772-775
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    • 2006
  • Muilti-dimensional feature vector matching algorithm uses multiple features such as intensity, gradient, variance, first or second derivative of a pixel to find correspondence pixels in stereo images. In this paper, we proposed a new method for adjusting automatically the weight of feature in multi-dimensional feature vector matching considering sharpeness of a pixel in feature vector distance curve. The sharpeness consists of minimum and maximum vector distances of a small window mask. In the experiment we used IKONOS satellite stereo imagery and obtained accurate matching results comparable to the manual weight-adjusting method.

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