• Title/Summary/Keyword: Path Factor

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Analyses of Fracture Parameters and Prediction of Crack Propagation Path on Delamination in the LSI Package (반도체 패키지의 층간박리 파괴역학인자 해석 및 균열진전경로 예측)

  • Chung, Nam-Yong;Park, Cheol-Hee
    • Journal of the Korean Society of Manufacturing Technology Engineers
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    • v.18 no.4
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    • pp.401-409
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    • 2009
  • This paper presents a method of calculating the stress intensity factor (K) and crack propagation direction (${\theta}_0$) at the crack-tip that is associated with delamination in the large scale integration(LSI) package. To establish a reasonable strength evaluation method and life prediction, it is necessary to assess fracture parameters under various fracture conditions. Therefore, we conducted quantitative stress singularity analysis considering thermal stress simulating the changes of crack length (a), (h) and (v) in delamination using the 2-dimensional elastic boundary element method (BEM), and from these results predicted crack propagation direction and path.

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A Scheme of Channel Diversity Load Balancing Consideration for Path Selection in WMNs

  • Gao, Hui;Kwag, Young-wan;Lee, Hyung-ok;Nam, Ji-seung
    • Annual Conference of KIPS
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    • 2014.04a
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    • pp.249-251
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    • 2014
  • This paper proposes a channel diversity based load-balancing cross-layer routing scheme for Wireless Mesh Networks (WMNs). The proposed scheme deals with channel diversity phase and load balancing phase in WMNs. Channel diversity factor $metric_{ch-d}$ and load balancing factor $f_{load}$ are defined and employed cooperatively as a combined path selection policy.

Twiddle Factor Index Generate Method for Memory Reduction in R2SDF FFT (R2SDF FFT의 메모리 감소를 위한 회전인자 인덱스 생성방법)

  • Yang, Seung-Won;Kim, Yong-Eun;Lee, Jong-Yeol
    • Journal of the Institute of Electronics Engineers of Korea SD
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    • v.46 no.5
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    • pp.32-38
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    • 2009
  • FTT(Fast Fourier Transform) processor is widely used in OFDM(Orthogonal Frequency Division Multiplesing) system. Because of the increased requirement of mobility and bandwidth in the OFDM system, they need large point FTT processor. Since the size of memory which stores the twiddle factor coefficients are proportional to the N of FFT size, we propose a new method by which we can reduce the size of the coefficient memory. In the proposed method, we exploit a counter and unsigned multiplier to generate the twiddle factor indices. To verify the proposed algorithm, we design TFCGs(Twiddle Factor Coefficient Generator) for 1024pint FFTs with R2SDF(Radix-2 Single-Path Delay Feedback), $R2^3SDF,\;R2^3SDF,\;R2^4SDF$ architectures. The size of ROM is reduced to 1/8N. In the case of $R2^4SDF$ architecture, the area and the power are reduced by 57.9%, 57.5% respectively.

Virtual Network Embedding based on Node Connectivity Awareness and Path Integration Evaluation

  • Zhao, Zhiyuan;Meng, Xiangru;Su, Yuze;Li, Zhentao
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.11 no.7
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    • pp.3393-3412
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    • 2017
  • As a main challenge in network virtualization, virtual network embedding problem is increasingly important and heuristic algorithms are of great interest. Aiming at the problems of poor correlation in node embedding and link embedding, long distance between adjacent virtual nodes and imbalance resource consumption of network components during embedding, we herein propose a two-stage virtual network embedding algorithm NA-PVNM. In node embedding stage, resource requirement and breadth first search algorithm are introduced to sort virtual nodes, and a node fitness function is developed to find the best substrate node. In link embedding stage, a path fitness function is developed to find the best path in which available bandwidth, CPU and path length are considered. Simulation results showed that the proposed algorithm could shorten link embedding distance, increase the acceptance ratio and revenue to cost ratio compared to previously reported algorithms. We also analyzed the impact of position constraint and substrate network attribute on algorithm performance, as well as the utilization of the substrate network resources during embedding via simulation. The results showed that, under the constraint of substrate resource distribution and virtual network requests, the critical factor of improving success ratio is to reduce resource consumption during embedding.

Development of Exit Burr Identification Algorithm on Multiple Feature Workpiece and Multiple Tool Path (복합형상 및 다중경로에 대한 Exit Burr 판별 알고리듬의 개발- 스플라인을 포함한 Exit Burr의 해석 -)

  • Kim, Ji-Hwan;Lee, Jang-Beom;Kim, Young-Jin
    • IE interfaces
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    • v.18 no.3
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    • pp.247-252
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    • 2005
  • In the automated production environment in the present days, the minimization of manual operation becomes a very important factor in increasing the efficiency of the production system. The exit burr produced through the milling operation on the edge of workpiece usually requires manual deburring process to enhance the level of precision of the resulting product. So far, researchers have developed various methods to understand the formation of exit burr in cutting process. One method to analytically identify the formation of exit burr was to use the geometrical information of CAD and CAM data used in automated machining. This method, in turn, generated the information resulting from the analysis such as burr type, cutting region, and exit angle. Up to now, the geometrical data were restricted to the single feature and single path. In this paper, a method to deal with the complicated geometric features such as line segment, arc, hole, and spline will be presented and validated using the field data. This method also deals with the complex workpiece shape which is a combination of multiple features. As for the cutting path, multiple tool path is analyzed in order to simulate the real cutting process. All this analysis is combined into a Windows based software and real data are used to validate the program in the conclusion.

The Effect of Personalized Product Recommendation Service of Online Fashion Shopping Mall on Service Use Behaviors through Cognitive Attitude and Emotional Attachment (온라인 패션쇼핑몰의 개인 상품 추천서비스가 인지적 태도와 감정적 애착을 통해 서비스 사용행동에 미치는 영향)

  • Choi, Mi Young
    • Fashion & Textile Research Journal
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    • v.23 no.5
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    • pp.586-597
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    • 2021
  • Personalized product recommendation service is receiving attention as a new marketing strategy while supporting consumer information search and purchasing decisions. This study attempted to verify the effect of self-reference on service use behavior through the dual path of cognitive attitude and emotional attachment. Using convenience sampling, an online survey was conducted with 324 women who were in their 20s and 30s. After collecting and compiling the survey data, the reliability and validity of variables constituting the conceptual research model were verified through confirmatory factor analysis using AMOS 22.0. Next, the significance of sequentially mediated pathways was verified using Process 3.5 Model 80. The results showed that self-referencing not only significantly affects service use intention by simply mediating cognitive attitudes but also sequentially mediates cognitive attitudes and additional information search. Furthermore, self-referencing was significant as an indirect path to service use intention by mediating additional information search. However, in the path mediated by emotional attachment, self-referencing was considered as a simple mediated path leading to service usage intention. These results indicate a dual path in the psychological mechanism, through cognitive and emotional evaluation, that prompts consumer behavioral responses to the personalized product information provided in the shopping process.

Learning Heuristics for Tactical Path-finding in Computer Games (컴퓨터 게임에서 전술적 경로 찾기를 위한 휴리스틱 학습)

  • Yu, Kyeon-Ah
    • Journal of Korea Multimedia Society
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    • v.12 no.9
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    • pp.1333-1341
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    • 2009
  • Tactical path-finding in computer games is path-finding where a path is selected by considering not only basic elements such as the shortest distance or the minimum time spend but also tactical information of surroundings when deciding character's moving trajectory. One way to include tactical information in path-finding is to represent a heuristic function as a sum of tactical quality multiplied by a weighting factor which is.. determined based on the degree of its importance. The choice of weighting factors for tactics is very important because it controls search performance and the characteristic of paths found. In this paper. we propose a method for improving a heuristic function by adjusting weights based on the difference between paths on examples given by a level designer and paths found during the search process based on the CUITent weighting factors. The proposed method includes the search algorithm modified to detect search errors and learn heuristics and the perceptron-like weight updating formular. Through simulations it is demonstrated how different paths found by tactical path-finding are from those by traditional path-finding. We analyze the factors that affect the performance of learning and show the example applied to the real game environments.

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Development of the Structural Model of Adolescent's Risk Behavior (청소년의 위험행동 구조모형 구축)

  • Park, Hyun-Sook;Jung, Sun-Young
    • Journal of Korean Academy of Nursing
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    • v.41 no.3
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    • pp.364-373
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    • 2011
  • Purpose: In this study the fitness of a path model for the relationship among biological risk disposition, sociocultural risk factors, self-control, parent-adolescent communication, and risk behavior in adolescents was examined. Methods: The participants were 387 adolescents. The data were analyzed with the PASW 18.0 and AMOS 18.0 programs. Results: Sociocultural risk factors, self-control, and parent-adolescent communication showed a direct effect on risk behavior for adolescents, while biological risk disposition and sociocultural risk factor showed an indirect effect on risk behavior for adolescents. The modified path model of adolescents' risk behavior was showed a good fit with the model ($X^2$/df=2.37, GFI=.95, AGFI=.92, RMSEA=.06 [.05

Development of the Variable Parametric Performance Model of Torque Converter for the Analysis of the Transient Characteristics of Automatic Transmission (자동변속기의 과도특성 분석을 위한 토크 컨버터의 변동 파라미터 성능 모델 개발)

  • 임원식;이진원
    • Transactions of the Korean Society of Automotive Engineers
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    • v.10 no.1
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    • pp.244-254
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    • 2002
  • To enhance the acceleration performance and fuel consumption rate of a vehicle, the torque converter is modified or newly-developed with reliable analysis model. Up to recently, the one dimensional performance model has been used for the analysis and design of torque converter. The model is described with constant parameters based on the concept of mean flow path. When it is used in practice, some experiential correction factors are needed to minimize tole estimated error. These factors have poor physical meaning and cannot be applied confidently to the other specification of torque converter. In this study, the detail dynamic model of torque converter is presented to establish the physical meaning of correction factors. To verify the validity of model, performance test was carried out with various input speed and oil temperature. The effect of oil temperature on the performance is analysed, and it is applied to the dynamic model. And, to obtain the internal flow pattern of torque converter, CFD(Computational Fluid Dyanmics) analysis is carried out on three-dimensional turbulent flow. Correction factors are determined from the internal flow pattern, and their variation is presented with the speed ratio of torque converter. Finally, the sensitivity of correction factors to the speed ratio is studied for the case of changing capacity factor with maintaining torque ratio.

Fashion savvy II: The influences of fear of negative evaluation by others, self esteem, and consumer confidence in fashion decisions on fashion savvy (Fashion savvy II: 타인의 부정적 평가에 대한 두려움, 자아존중감과 의복구매 자신감이 fashion savvy에 미치는 영향)

  • Park, Hye-Jung;Jeon, Kyung Sook
    • The Research Journal of the Costume Culture
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    • v.21 no.4
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    • pp.562-575
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    • 2013
  • The purpose of this study was to test the determinants of fashion savvy. As determinants, this study examined fear of negative evaluation by others and self esteem as subject-related variables and consumer confidence in fashion decisions as the product-related variable. It was hypothesized that fear of negative evaluation and self esteem influence fashion savvy both directly and indirectly through consumer confidence in fashion decisions. Data were gathered by surveying university students in Seoul metropolitan area, using convenience sampling, and 311 questionnaires were used in the statistical analysis. In analyzing data, factor analysis and path analysis were conducted. Tests of the hypothesized path show that one factor of fear of negative evaluation and self esteem influence fashion savvy directly and indirectly through consumer confidence in fashion decisions. More specifically, 'fear of negative impression and judgment' factor negatively influences 'marketing literacy' and 'consumer selfefficacy' of fashion savvy, whereas self-esteem positively influences 'consumer self-efficacy' of fashion savvy. In addition, consumer confidence in fashion decisions influences all six factors of fashion savvy. The implications of these findings and suggestions for future study are also discussed.