• Journal of the Korean Institute of Intelligent Systems
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• v.19 no.3
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• pp.311-316
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• 2009

This paper presents the motion estimation algorithm on real-time for mobile surveillance robot using particle filter. the particle filter that based on the monte carlo's sampling method, use bayesian conditional probability model which having prior distribution probability and posterior distribution probability. However, the initial probability density was set to define randomly in the most of particle filter. In this paper, we find first the initial probability density using Sum of Absolute Difference(SAD). and we applied it in the partical filter. In result, more robust real-time estimation and tracking system on the randomly moving object was realized in the mobile surveillance robot environments.

• 제어로봇시스템학회:학술대회논문집
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• 2000.10a
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• pp.553-553
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• 2000

The application as the parts of an automobile, using the property of GMT-Sheet, is increasing. In order to exchange the parts of an automobile for GMT-Sheet, at first, the establishment and joining problem of exact joining strength must be determined. We have studied it using composites which is not same each other fiber oriented condition so as to determine joining strength and joining condition of GMT-Sheet. h this study, the result of experiment of forming condition concerned joining problem of GMT-Sheet is this ; joining efficiency of of GMT-Sheet, increases as lap joint length L increases. Increase of compression ratio causes decrease of joining efficiency after of GMT-Sheet joining. In the viewpoint of recycling, randomly oriented composite of GMT-Sheet is desirable more than unidirectional oriented composite. We has better design the structure so as not to occur to stress centralizatien on the joining part.

• Communications for Statistical Applications and Methods
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• v.2 no.2
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• pp.1-12
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• 1995

Let F be a life distribution with finite mean $\mu$ Then F is said to be in new better then worse than used in expectation (NBWUE(p)) class if $\varphi(u) {\geq} u$ for $0 {\leq}u{\leq}t_0$ and ${\varphi}(u) {\leq} u$ for $t_0< u {\leq} 1$ where ${\varphi}(u)$ is the scaled total-time-on-test transform and $p=F(t_0)$. We propose a testing procedure for $H_0$ : F is exponential against $H_1$ : NBWUE(p), and is not expontial, (or $H_1\;'$ : F is NWBUE (p), and is not exponential) using randomly censored data. Our procedure assumes kmowledge of the proportion p of the population that fail at or before the change-point $\t_0$. Know ledge of $\t_0$ itself is not assumed. The asymptotic normality of the test statistic is established and a Monte Carlo experiment is performed to investigate the speed of convergence of the test statistic to normality. The power of our test is also studied.

• Communications for Statistical Applications and Methods
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• v.16 no.6
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• pp.1005-1012
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• 2009

The area under the curve(AUC) is commonly used as a measure of the receiver operating characteristic(ROC) curve which displays the performance of a set of binary classifiers for all feasible ratios of the costs associated with true positive rate(TPR) and false positive rate(FPR). In the bipartite ranking problem where one has to compare two different observations and decide which one is "better", the AUC measures the quantity that ranking score of a randomly chosen sample in one class is larger than that of a randomly chosen sample in the other class and hence, the function which maximizes an AUC of bipartite ranking problem is different to the function which maximizes (minimizes) accuracy (misclassification error rate) of binary classification problem. In this paper, we develop a way to construct the unified framework for AUC maximizer including support vector machines based on maximizing large margin and logistic regression based on estimating posterior probability. Moreover, we develop an efficient algorithm for the proposed unified framework. Numerical results show that the propose unified framework can treat various methodologies successfully.

• Journal of Life Science
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• v.8 no.2
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• pp.203-207
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• 1998

NAD4 as a gene encoding NADH dehydrogenase subunit 4 in the micodhondrion from maize has been cloned using RT-PCR and sequenced for examining RNA edited sites. Analysis of mt cDNA sequences showed the typical RNA editing patterns and unusual base changes as well;RNA editing from cDNA sequences occured base change from c to U in most cases, however transitions from t to g and G to A were also observed. Even though those editings appared to be occurred randomly, RNA edited sites showed mostly in exon 1 and exon 4 regions, when compared with NAD4 cDNA from wheat, locations of edited sites did not consistent with each other suggesting that the phenomenon of RNA editing occured randomly not site-specific manner.

• The Journal of Korean Academic Society of Nursing Education
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• v.16 no.2
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• pp.229-238
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• 2010

Purpose: The purpose of this study was to investigate the effects of a small group collaboration learning program through MBTI on nursing professional self-concept and career maturity of nursing college students. Method: A randomized control pre-post test experimental research design was used. There were 30 sophomore nursing students in the experimental group and 30 in the control group randomly assigned and randomly selected from the nursing program of T University in Daegu, Korea. The program through MBTI was developed by Kwon (2002) using a program by Shim and Kim (1997) as treatment. The experimental group received the program through MBTI for 30 hours (2 times a week for 15 weeks) while the control group received no treatment except a series of tests. Measures were the MBTI test, nursing professional self-concept scale, and career maturity scale. The data were analyzed with SPSS Win 17.0 program, chi-square test, and t-test. Result: The experimental group which received the program through MBTI had a higher score of nursing professional self-concept and career maturity change than the control group. Conclusion: A small group collaboration learning program through MBTI was effective in increasing nursing professional self-concept and career maturity of nursing college students.

• CELLMED
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• v.5 no.2
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• pp.11.1-11.5
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• 2015

Traditional East Asian Medicine (TEAM) prescriptions typically consist of several herbs based on the assumption that the herbs operate synergistically and/or cooperate on several related pathways simultaneously. This is a general concept that is widely accepted in TEAM, but it has not been tested systematically. To check this assumption statistically, we have text mined traditional Korean medicine text the Inje-ji(仁濟志, Collections of benevolent savings), a text that contains more than 5000 herb-cocktail prescriptions. We created herb-pairing network based on herb-herb pairing specificity and performed a systematic network analysis. Herbs were shown to be used selectively with other herbs and not randomly. Moreover, herb pairs were more specifically associated with symptoms than were single herbs. Single herbs and combinations of herbs specifically used for diabetes mellitus were successfully identified. As conclusion, herb-pairings in TEAM are not randomly constructed; instead, each herb was selectively used with other herbs. In terms of statistical significance, herb pairs were more specifically associated with symptoms than were single herbs alone. Collectively, these results suggest that it may be important to understand the interactions among multiple ingredients contained in herb pairs rather than trying to identify a single compound to resolve symptoms.

• Journal of the East Asian Society of Dietary Life
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• v.20 no.3
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• pp.363-371
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• 2010

The purpose of this study was to examine the impact of caffeine on lipid concentrations in ovariectomized rats. Forty-four rats (75${\pm}$5 g) were randomly divided into ovariectomy(ovx) and sham groups, each of which were randomly divided into two subgroups that were fed the control diet or a caffeine-supplemented diet (0.03%/diet). The experimental groups were classified into 1) sham-control, 2) sham-caffeine, 3) ovx-control and 4) ovx-caffeine groups. All rats had been fed on experimental diet and deionized water ad libitum for 6 weeks. Triglyceride concentration and total cholesterol were measured in serum and liver. Serum HDL-cholesterol was measured. Serum LDL-cholesterol and atherogenic index were calculated. Weight gain and food efficiency ratio were higher in ovx groups than in sham groups (p<0.05). Caffeine intake did not affect weight gain and food efficiency ratio. Mean food intake was significantly increased in ovx-caffeine group than other three groups. There were no significant differences in serum triglyceride, total cholesterol, HDL-cholesterol, LDL-cholesterol and atherogenic index between the control diet group and caffeine diet group. In addition, hepatic triglyceride and cholesterol level was unaffected by caffeine intake or ovariectomy. Therefore, we suggest that caffeine (0.03%/diet) intake may not have adverse effects on serum lipid level in ovariectomized rats.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.17 no.2
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• pp.205-210
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• 2017

Wireless sensor networks are useful to various unmanned monitoring application such as monitoring environments, surveillance system, unmanned space exploration, and so on. Due to the inappropriate placement of sensor nodes, there are some problems, for example, low connectivity and high overlapped sensing area. These problems can make it difficult for the data collection and lead to a waste of energy. In this paper, we propose a node relocating method to resolve the inappropriate placement of sensor nodes. Given monitoring area, we place sensor nodes randomly and find redundant nodes and move them to uncovered area. Through the simulation, We show that the proposed method is viable and efficient compared with the existing randomly locating method.

• Journal of Korea Game Society
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• v.16 no.1
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• pp.119-128
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• 2016

In this paper, we consider an improved deformation method of IFS(iterated function system) fractal using codes of fractal points. In the existing deformation methods, the intermediate results of position dependent partial deformation propagate randomly due to the randomly selected maps of iteration. Therefore, in many cases, the obtained results become somewhat monotonous feeling shapes. To improve these limitations, we propose a method in which the selection of maps are controlled by codes of fractal points. Applying this method, we can obtain interesting fractal deformation conforming with its fractal features. Also, we propose a simple method, incorporating state variables, that can be applied to deformation of some fractal features other than position coordinates.