• 한국군사과학기술학회지
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• 제16권5호
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• pp.675-682
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• 2013

Reliability analysis and prediction of next failure time is critical to sustain weapon systems, concerning scheduled maintenance, spare parts replacement and maintenance interventions, etc. Since 1981, many methodology derived from various probabilistic and statistical theories has been suggested to do that activity. Nowadays, many A.I. tools have been used to support these predictions. Support Vector Regression(SVR) is a nonlinear regression technique extended from support vector machine. SVR can fit data flexibly and it has a wide variety of applications. This paper utilizes SVM and SVR with combining time series to predict the next failure time based on historical failure data. A numerical case using failure data from the military equipment is presented to demonstrate the performance of the proposed approach. Finally, the proposed approach is proved meaningful to predict next failure point and to estimate instantaneous failure rate and MTBF.

• 농업과학연구
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• 제38권3호
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• pp.549-557
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• 2011

Chinese cabbage is a staple food to Korean, which has the high degree of self-sufficiency and worldwide breeding technique in the aspect of seed. However, the producers' competitiveness has been decreasing after the agricultural product market was open. In order to cope with this problem, the government introduced some policies for promoting seed industry in 2007 to reflect producer's needs for high quality seeds of Chinese cabbage. These policies will be a good opportunity for producers to secure and promote the producers' competitiveness against low-price importing Chinese cabbage. In this aspect it is very important to know how well these policies are established and what Chinese cabbage farmers want in regard to a new variety of Chinese cabbage seed. This study was carried out to look over the Chinese cabbage producers' using pattern about a new variety of seed and show some directions for efficient way of diffusion of a new variety of seed to producers using a survey research. The main results are as follows. The producers thought the characteristics of a new variety of seed most important factor compared to other factors such as the seed price, and easiness of cabbage sales when they choose a seed. Also, the 65% of respondents were willing to accept a new variety of seed and thought the government support for an exhibition field and diffusing public information about a new variety of Chinese cabbage seed are important in accepting a new variety of seed.

• 대한음성언어의학회:학술대회논문집
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• 대한음성언어의학회 1995년도 제4회 학술대회 심포지움 및 워크샵
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• pp.141-153
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• 1995

CSpeech is a software package that implements an audio waveform/speech analysis workstation on an IBM Personal Computer or hardware compatible computer. Features include digitizing audio waveforms on single or multiple channels, displaying the digitized waveforms, playing back audio waveforms from selected intervals of sing1e channels, saving and retrieving waveforms from binary format disk files, and analysing audio waveforms for their temporal and spectral properties. The distinguishing characteristics of CSpeech are its support for multiple channels, minimal restrictions on sample rate and waveform duration support fur a variety of hardware configurations, fast graphics display, and its user- extensible menu- based command structure.

• 대한안전경영과학회지
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• 제10권2호
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• pp.25-31
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• 2008

The purpose of this paper is to review the relationship between job characteristics and job stress responses(physiological response, psychological response, behavioral response), and the moderating effect of social support. Based on the responses from 187 employees in small & medium manufacturing industry, hierarchical regressional analysis showed that job characteristics factors have partly negative relationships with job stress response. However, job variety has positive relationship. Social support has partly moderating effect on the relationship between job characteristics and job stress.

• International Journal of Fuzzy Logic and Intelligent Systems
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• 제15권2호
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• pp.96-101
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• 2015

Support vector machine (SVM) has a strong theoretical foundation and also achieved excellent empirical success. It has been widely used in a variety of pattern recognition applications. Unfortunately, SVM also has the drawback that it is sensitive to outliers and its performance is degraded by their presence. In this paper, a new outlier detection method based on genetic algorithm (GA) is proposed for a robust SVM. The proposed method parallels the GA-based feature selection method and removes the outliers that would be considered as support vectors by the previous soft margin SVM. The proposed algorithm is applied to various data sets in the UCI repository to demonstrate its performance.

• Asia pacific journal of information systems
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• 제13권4호
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• pp.147-169
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• 2003

Individual adoption and sustained usage of information technology(IT) are crucial prerequisites for exploiting IT as integral components of organizational work. Previous studies on technology adoption in workplace suggest that acceptance behavior is influenced by a variety of factors such as individual differences, social influences, beliefs, attitudes, and situational influences. In this paper, we introduce a research model to predict the usage behavior of intranet in workplace and also explain the causal relationships among variables. Based on the survey of 333 intranet users, this study uses structural equation model with LISREL 8.12. This study suggests several major results from surveys and analysis from them. Perceived use is influenced by intranet experience, task equivocality, organizational support, and perceived ease of use, Experience and organizational support determine perceived ease of use. Task equivocality, task interdependence, and organizational support have positive effects on subjective norm. On the other hand, present usage, which is a dependent variable in this model, is influenced by perceived use, experience, task interdependence, and organizational support.

• 대한기계학회:학술대회논문집
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• 대한기계학회 2003년도 춘계학술대회
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• pp.868-873
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• 2003

This paper deals with the linear dynamic response of an elastically restrained beam under a moving mass, where the elastic support was modelled by translational springs of variable stiffness. Governing equations of motion taking into account of all inertia effects of the moving mass were derived by Galerkin's mode summation method, and Runge-Kutta integration method was applied to solve the differential equations. The effects of the speed, the magnitude of the moving mass, stiffness and the position of the support springs on the response of the beam have been studied. A variety of numerical results allows us to draw important conclusions for structural design purposes.

• Communications for Statistical Applications and Methods
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• 제31권2호
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• pp.235-246
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• 2024

In high-dimensional data analysis, sufficient dimension reduction (SDR) has been considered as an attractive tool for reducing the dimensionality of predictors while preserving regression information. The principal support vector machine (PSVM) (Li et al., 2011) offers a unified approach for both linear and nonlinear SDR. This article comprehensively explores a variety of SDR methods based on the PSVM, which we call principal machines (PM) for SDR. The PM achieves SDR by solving a sequence of convex optimizations akin to popular supervised learning methods, such as the support vector machine, logistic regression, and quantile regression, to name a few. This makes the PM straightforward to handle and extend in both theoretical and computational aspects, as we will see throughout this article.

• Asian Journal of Business Environment
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• 제7권3호
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• pp.33-43
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• 2017

Purpose - It is necessary to identify the level of marketing activities of the businesses that are recognized and carried out by the small and midsize businesses that have been supported by the government's small-business policy Research design, data, and methodology - The method of data analysis of this study was conducted by the researcher's acquaintances and center staffs who visited small business owners in a small - scale company operating a business. Results - It is found that the financial support part of the support programs for the small business owners is not related to the center affection among the support programs for the small business owners of the government. This is a fact-finding process that can be regarded as a forming process that has a significant effect on. As a result of the analysis, both marketing activity and center attachment were found to be possible parameters which have significant influence on business performance. Conclusions - Developing a variety of contact and customer management programs with small business owners in the field has enabled the government's policies to effectively penetrate the site, and these efforts eventually resulted in more business results for small business owners.

• 대한간호학회지
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• 제38권3호
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• pp.454-464
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• 2008

Purpose: The purpose of this study was to identify the causal relationship of familial factors (parental acceptance, autonomy, and family satisfaction), social support (teacher's support and friend's support), school achievement, self-concept, and school adjustment. Based on preceding research, this study established a path model of school adjustment and its related variables. Methods: Two thousand six hundred and twenty nine middle school students participated in this study. Data were collected by a visit-survey with an organized questionnaire and was analyzed by the SPSS and AMOS programs. Results: Self-concept showed a significantly direct influence to school adjustment while both family satisfaction and school achievement directly and indirectly influenced school adjustment. Parental acceptance, autonomy, and social support indirectly influenced school adjustment. Conclusion: These results imply that first, family satisfaction, and self-concept are essential to solve the problems of school adjustment. Especially friend's support, teacher's support and school achievement should help improve the self-concept and school adjustment. Second, a variety of programs are available for schools to employ in an effort to provide interventions for students who demonstrate school maladjustment. Finally, it is necessary for family, school and society members to comprehensively cooperate to improve school adjustment.