• Journal of the Korean Data and Information Science Society
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• 제17권3호
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• pp.871-888
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• 2006

Many studies have been done to develop procedures to deal with missing values. Most common method is to reassign the other values to the missing data. The purpose of our study is to suggest adjusted Cohen methods and to compare the efficiency of them with other methods through a simulation study. The adjusted Cohen methods use an auxiliary variable to arrange ranking of the variable with missing values. It leads to a reduced mean square error(MSE) compared with the Cohen method.

• 대한원격탐사학회지
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• 제22권3호
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• pp.211-219
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• 2006

A random forests classifier is applied to multi-sensor data fusion for supervised land-cover classification in order to account for the importance of variable. The random forests approach is a non-parametric ensemble classifier based on CART-like trees. The distinguished feature is that the importance of variable can be estimated by randomly permuting the variable of interest in all the out-of-bag samples for each classifier. Two different multi-sensor data sets for supervised classification were used to illustrate the applicability of random forests: one with optical and polarimetric SAR data and the other with multi-temporal Radarsat-l and ENVISAT ASAR data sets. From the experimental results, the random forests approach could extract important variables or bands for land-cover discrimination and showed reasonably good performance in terms of classification accuracy.

• Journal of the Korean Data and Information Science Society
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• 제15권4호
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• pp.935-943
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• 2004

Most of the accelerated life tests deal with tests that use only one accelerating variable and no other explanatory variables. Frequently, however, there is a test to use more than one accelerating or other experimental variables, such as, for examples, a test of capacitors at higher than usual conditions of temperature and voltage, a test of circuit boards at higher than usual conditions of temperature, humidity and voltage. A accelerated life test is extended to M-level stress accelerated life test with k-stress variables. The optimal design for Weibull distribution is studied with k-stress variables.

• 전자공학회논문지B
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• 제32B권6호
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• pp.868-875
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• 1995

This paper presents a method of constructing the multiple-valued combinational logic systems(MVCLS) by decision diagram. The switching function truth table of MVCLS is transformed into canonical normal form of sum-of-products(SOP) with literals at first. Next, the canonical normal form of SOP is transfered into multiple-valued logic decision diagram(MVLDD). The selecting of variable ordering is very important in this stage. The MVLDDs are quite different from each other according to the variable ordering. Sometimes the inadequate variable ordering produces a very large size of MVLDD means the large size of circuit implementation. An algorithm for generating the proper variable ordering produce minimal MVLDD and an example shows the verity of the algorithm. The circuits are realized with T-gate acceording to the minimal MVLDD.

• 한국정보통신설비학회:학술대회논문집
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• 한국정보통신설비학회 2009년도 정보통신설비 학술대회
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• pp.382-386
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• 2009

Online or sequential learning is one of the most basic and powerful method to train neuron network, and it has been widely used in disease detection, weather prediction and other realistic classification problem. At present, there are many algorithms in this area, such as MRAN, GAP-RBFN, OS-ELM, SVM and SMC-RBF. Among them, SMC-RBF has the best performance; it has less number of hidden neurons, and best efficiency. However, all the existing algorithms use signal normal distribution as kernel function, which means the output of the kernel function is same at the different direction. In this paper, we use multi-variable normal distribution as kernel function, and derive EKF learning formulas for multi-variable normal distribution kernel function. From the result of the experience, we can deduct that the proposed method has better efficiency performance, and not sensitive to the data sequence.

• 대한원격탐사학회:학술대회논문집
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• 대한원격탐사학회 2003년도 Proceedings of ACRS 2003 ISRS
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• pp.991-993
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• 2003

The 4 sets of environmental variables dealing with meteorology, hydrology and physiography were analyzed to generate a spatial drought risk index of Phitsanulok province of Thailand. The analysis of K-mean and discriminant were applied to the set of the selective drought variables for grouping each of spatial variable set into 4 classes. The obtained 4 classes, based on group statistics, were thus recoded in the meaning of no risk, low risk, moderate risk, and high risk. The regression coefficient between recoded classes and a set of the selective environmental variables were then applied as spatial variable weighting on thematic dataset in GIS spatial analysis. The results showed that the weighting score of drought variable was highest in meteorological variable compared to other variables.

• Journal of the Korean Data and Information Science Society
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• 제15권3호
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• pp.565-574
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• 2004

Classification tree algorithms including as CART by Brieman et al.(1984) in some aspects, recursively partition the data space with the aim of making the distribution of the class variable as pure as within each partition and consist of several steps. SUPPORT(smoothed and unsmoothed piecewise-polynomial regression trees) method of Chaudhuri et al(1994), a weighted averaging technique is used to combine piecewise polynomial fits into a smooth one. We focus on applying SUPPORT to a binary class variable. Logistic model is considered in the caculation techniques and the results are shown good classification rates compared with other methods as CART, QUEST, and CHAID.

• 대한전기학회:학술대회논문집
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• 대한전기학회 2007년도 제38회 하계학술대회
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• pp.1906-1908
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• 2007

This study describes a software engine that can evaluate human sensibility using a heart rate variable(HRV) of hypochodriac or old people, and suggest biofeedback to enhance their emotion. To develop the software engine, using PPG signal heart rate and HRV are calculated. Using the FFT spectra of HRV, human sensibility is estimated. And a biofeedback software is designed with motion image player, breathing control and other function modules.

• 한국정보통신학회:학술대회논문집
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• 한국해양정보통신학회 2008년도 춘계종합학술대회 A
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• pp.281-284
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• 2008

최근 OpenGL ES 2.0이 개정됨에 따라 모바일 기기에 Shader 3.0모델을 지원 가능한 프로세서가 요구된다. 이 쉐이더 3.0 모델의 지원과 관련하여 명령어의 길이의 증가가 필요하고, 이는 메모리 용량의 증가를 초래한다. 본 논문에서는 가변길이 구조와 유닛구조를 채택한 새로운 명령어 구조를 제안한다. 이 명령어 구조는 쉐이더 3.0 모델을 지원하고 명령어 필드 낭비를 줄일 수 있도록 최대 4개의 32비트 유닛 명령어가 가변적으로 조합되어 수행된다.

• 농촌지도와개발
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• 제22권2호
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• pp.101-116
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• 2015

This study aims to identify the decision-making factors of people who have returned to rural areas for farming and residence according to personal characteristics and regions. The survey was conducted on 420 return farmers of six cities and counties in Gyeongsangbuk-Do from September 1st to October 11th 2013. For data analysis, researchers used 280 answered sheets and utilized two-way ANOVA and multinomial logistic regression analysis. Research results indicate three factors of returning to farm which are pull to rural area, push from city, and policy factor. The highest scores of factor is pull to rural area (2.93), the second one is push from city (2.31), and the lowest score is politic factor (2.18). In addition, these three factors of returning to farm are elucidated by environmental variable, economic variable, and information and opportunity provided by government. In other words, the factor of pull to rural area is related environmental variable and the factor of push from city is affected by economic variable. Lastly, politic factor pertains to information and opportunity provided by government.