• Title/Summary/Keyword: High-performance support

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Interleaved Active-Clamp ZVS Forward Converter (인터리브 능동 클램프모드 5전압 스위칭 포워드 컨버터)

  • Kim, Shin-Woo;Kim, Hee-Jun
    • Proceedings of the KIEE Conference
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    • 2006.07c
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    • pp.1695-1696
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    • 2006
  • In this paper, we designed high performance, high quality and high density switch mode power supply for precision electronics, and communication equipments. For this, we used two parallel DC-DC converters, which have opposite phases, to support proper high performance and high quality power. To reduce switching losses and make high switching frequency, active-clamp and ZVS technique were employed in each converter.

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Hybrid Learning Algorithm for Improving Performance of Regression Support Vector Machine (회귀용 Support Vector Machine의 성능개선을 위한 조합형 학습알고리즘)

  • Jo, Yong-Hyeon;Park, Chang-Hwan;Park, Yong-Su
    • The KIPS Transactions:PartB
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    • v.8B no.5
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    • pp.477-484
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    • 2001
  • This paper proposes a hybrid learning algorithm combined momentum and kernel-adatron for improving the performance of regression support vector machine. The momentum is utilized for high-speed convergence by restraining the oscillation in the process of converging to the optimal solution, and the kernel-adatron algorithm is also utilized for the capability by working in nonlinear feature spaces and the simple implementation. The proposed algorithm has been applied to the 1-dimension and 2-dimension nonlinear function regression problems. The simulation results show that the proposed algorithm has better the learning speed and performance of the regression, in comparison with those quadratic programming and kernel-adatron algorithm.

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A Study on the Effects of Business Consulting on the Business Performance: Analysis of Elasticity of Consulting Factors and a Group Analysis Based on Firm Age (경영컨설팅이 기업의 경영성과에 미치는 영향에 관한 연구: 컨설팅 요소의 탄력성 분석과 기업의 업력 기준 집단분석)

  • Lee, Yoo Hwan;Seo, Young Wook
    • Knowledge Management Research
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    • v.19 no.4
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    • pp.39-58
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    • 2018
  • This study explores the effects of business consulting on the business performance of firms by using a unique survey for various industry sectors in Korea. We attempt to build a consulting model that shows the structural relationship between consulting factors and consulting performance. Moreover, through the consulting model, we conduct the analysis of elasticity of consulting factors and the group analysis based on firm age. First, the findings show that all consulting factor has a positive impact on the consulting performance, but in the results of factor elasticity, they have a somewhat different impact. Second, while the support of CEOs is relatively more elastic than other consulting factors with respect to the completion of consulting projects, the institutional condition for consulting is relatively more elastic than other factors with respect to the contribution to business performance. Third, since the high-firm age group has a greater capacity to absorb and utilize external knowledge and resource, the consultant competency and institutional conditions have a more impact on the consulting performance than the low-firm age group. On the other hand, in the low-firm age group, the result indicates that the support of CEOs has a more impact in the consulting performance than the high-firm age group. According to the total effect, the support of CEOs in the entire model has the highest impact on the consulting performance. Thus, it is probably difficult to achieve the improvement of business performance through consulting as well as the successful consulting projects without the CEOs' commitment and awareness about the consulting projects.

Role Expectation and Role Performance in School Health Teachers Recognized by Nursing Students Who Experienced Teaching Practice (보건교사 교육실습생이 인지하는 보건교사 역할기대와 역할수행)

  • Kwon, Jin-Ok;Oh, Jin-A
    • The Journal of Korean Academic Society of Nursing Education
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    • v.17 no.1
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    • pp.36-43
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    • 2011
  • Purpose: The purpose of this study was to identify the level of role expectation and role performance in school health teachers recognized by nursing students experiencing health teacher practice and to compare role expectation and performance according to their characteristics. Method: The subjects in this study were 530 nursing students from 42 universities in Korea. The data was collected by a structured self-administered questionnaire and analyzed using descriptive statistics, t-test, and ANOVA by SPSS 17.0 program. Results: The student recognition in role expectation for school health teachers showed a high level and its level in the role performance was moderate. The students recognized the role expectation was greater than the role performance in school health teachers. The students' points of view for role expectation and performance were statistically different according to their practicing locations, practicing school sizes, and their expressions of health teacher's images. Conclusion: To improve health teacher training and to provide a high quality education, practice manuals, educational support, cooperation between the university and practice school, and support of human resources as school health teachers are necessary.

Bridging Service Employee's Intrinsic Motivation and Job Performance : A Moderated Mediation Model (중국 서비스 종업원의 내재적 동기와 종업원 창의성, 직무성과 : 동료지원의 조절적 매개모형)

  • Kang, Seongho;Hur, Won-Moo
    • Journal of Distribution Science
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    • v.16 no.5
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    • pp.71-81
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    • 2018
  • Purpose - Our research aims to investigate the mediating effect of employee creativity on the relationship between intrinsic motivation and job performance using relationship using Chinese department salespeople samples. Another objective of this study is to be clear boundary conditions that strengthen or weaken the effects of intrinsic motivation on work outcomes (i.e., employee creativity and job performance). Drawing on JD-R theory, we suggest that the two types of coworker support play differential moderating roles in the intrinsic motivation, employee creativity relationship by increasing or decreasing job resources and demands in different ways. Research design, data, and methodology - This empirical study data were collected from gathered from a sample of full time salespeople in China. A total of 550 questionnaires were distributed and 300 responses were collected, indicating a response rate of 84.0%. Working with a sample of 300 salespeople working in a department store in China. SPSS 18.0, Process 2.16 Macro, and M-Plus 8.0 software were used in the data analysis. Descriptive statistics were used to evaluate the distribution of the employee profiles and correlations between variables. M-Plus 8.0 software was used to test the model fit, validity and reliability of the variables. Finally, all research hypotheses was estimated by SPSS Macro 2.16. Results - To test our research hypotheses, we employed an analytical strategy suggested by Hayes (2013; 2015) and Shrout and Bolger (2002). In this study, we tested the relationship between intrinsic motivation and job performance throughout employee creativity. Results showed intrinsic motivation and job performance was partially mediated by employee creativity. The positive relationship between intrinsic motivation and employee creativity when coworker emotional support was high than when it was low. In contrast, the positive association between intrinsic motivation and employee creativity was stronger when coworker instrumental support was low than when it was high. Coworker emotional and instrumental support further moderated the indirect effect of intrinsic motivation on job performance through employee creativity. Conclusions - This study extends the conceptual model and empirical researches in coworker supports literature by representing a fundamental mechanism of how salespeople's intrinsic motivation and job performance throughout employee creativity.

The Relationship between Psychosocial Factors and Symptoms of Patient with Rhematoid Arthritis (류마티스 관절염 환자의 심리사회적 요인과 증상과의 관계)

  • Kang, Hyun-Sook;Han, Sang-Sook
    • Journal of muscle and joint health
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    • v.6 no.2
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    • pp.295-309
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    • 1999
  • This study was done to Identify the relations between psychosocial factors and symptoms of patient with rheumatoid arthritis. Its subjects were 150 outpatients selected at H. Rheumatism clinic from July to August in 1998. Data were collected by means of questionnaires using interview. Those data were analyzed by Frequency, t-test, ANOVA, pearson's correlation using SPSS window 8.0. The results were as follows : 1) The level of family support was relatively high and the level of self-efficacy and performance of daily living activities were average. Among their symptoms, fatigue and pain were frequent problems. 2) Family support was different by educational level, self-efficacy and physical, psychological symptoms were different by performance of regular exercise. 3) The family support was inversely related to physical symptoms especially ADL, while it was not related to psychological symptoms except a reverse correlation between depression and anxiety, and family support. Self-efficacy held a reverse correlation with both physical and psychological symptoms. And there was a close relationship between symptoms. In conclusion it was found that the promotion of family support, self-efficacy and exercise-performance holds a key post in reducing symptoms of rheumatoid arthritis.

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An empirical study on the performance factors of the BSC perspectives on government support regional innovation clusters in the management consulting (클러스터 혁신지역의 정부지원 경영컨설팅에 대한 BSC관점 성과요인 측면에서의 실증적 소고)

  • Park, Soon-mo
    • Journal of the Korea Institute of Information Security & Cryptology
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    • v.25 no.6
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    • pp.1583-1593
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    • 2015
  • This study applied the BSC performance consulting experience and diverse variable factors and whether there any differences in terms of satisfaction and the relationship between the support for the government consulting firm specializing in human resources by the resident of the innovation cluster area was investigated through empirical research. According to the study, a new high in recent local government support Consulting Consulting satisfaction by professionals residing in the area that applies to industrial clusters leads to practical consultancy, which was being evaluated as a significant boon to real performance of the company.

Bankruptcy Prediction using Support Vector Machines (Support Vector Machine을 이용한 기업부도예측)

  • Park, Jung-Min;Kim, Kyoung-Jae;Han, In-Goo
    • Asia pacific journal of information systems
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    • v.15 no.2
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    • pp.51-63
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    • 2005
  • There has been substantial research into the bankruptcy prediction. Many researchers used the statistical method in the problem until the early 1980s. Since the late 1980s, Artificial Intelligence(AI) has been employed in bankruptcy prediction. And many studies have shown that artificial neural network(ANN) achieved better performance than traditional statistical methods. However, despite ANN's superior performance, it has some problems such as overfitting and poor explanatory power. To overcome these limitations, this paper suggests a relatively new machine learning technique, support vector machine(SVM), to bankruptcy prediction. SVM is simple enough to be analyzed mathematically, and leads to high performances in practical applications. The objective of this paper is to examine the feasibility of SVM in bankruptcy prediction by comparing it with ANN, logistic regression, and multivariate discriminant analysis. The experimental results show that SVM provides a promising alternative to bankruptcy prediction.

Polynomial Regression Analysis and Response Surface Methodology in Task-Technology Fit Research: The Case of GSS (Group Support Systems) (업무-기술적합(TTF) 영향에 대한 다차항 회귀분석과 반응표면 방법론적 접근: 그룹지원시스템(GSS)의 경우)

  • Kang, So-Ra;Kim, Min-Soo;Yang, Hee-Dong
    • Asia pacific journal of information systems
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    • v.16 no.2
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    • pp.47-67
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    • 2006
  • This study takes a quantitative approach to the influence of TTF (Task-Technology Fit) on the individual's use and performance of GSS (Group Support Systems), while traditional studies on TTF have taken the experimental approach to explore the characteristic fit between diverse tasks and technologies. We have the following two research inquires: Are the IS use and performance maximized when information technologies are provided by the exact amount of demand?; and, Does TTF at the high level between task and IT produce better IS use (or performance) than at the low level? To investigate these issues, we use the polynomial regression analysis and response surface methodology of Edwards (1993) instead of traditional direct measure of TTF. This method measures the degree of desired and actual level of information technologies in conducting tasks, and traces the dynamic changes of dependent variables (IS use and performance) according to the variances of each independent variable. Our results conclude that user's IS use and performance are maximized when information technologies are actually provided by no more or less than the desired level. We also found that TTF at the high level promotes better IS use and performance than TTF at the low level.

High-Performance Multi-GPU Rendering Based on Implicit Synchronization (묵시적 동기화 기반의 고성능 다중 GPU 렌더링)

  • Kim, Younguk;Lee, Sungkil
    • Journal of KIISE
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    • v.42 no.11
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    • pp.1332-1338
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    • 2015
  • Recently, growing attention has been paid to multi-GPU rendering to support real-time high-quality rendering at high resolution. In order to attain high performance in real-time multi-GPU rendering, great care needs to be taken to reduce the overhead of data transfer among GPUs and frame composition. This paper presents a novel multi-GPU algorithm that greatly enhances split frame rendering with implicit query-based synchronization. In order to support implicit synchronization in frame composition, we further present a message queue-based scheduling algorithm. We carried out an experiment to evaluate our algorithm, and found that our algorithm improved rendering performance up to 200% more than previously existing algorithms.