• International Journal of Quality Innovation
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• v.3 no.2
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• pp.113-131
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• 2002

The relationships among multi-dimensional data (such as medical examination data) with ambiguity and variation are difficult to explore. The traditional approach to building a data classification system requires the formulation of rules by which the input data can be analyzed. The formulation of such rules is very difficult with large sets of input data. This paper first describes two classification approaches using back-propagation (BP) neural network and Mahalanobis distance (MD) classifier, and then proposes two classification approaches for multi-dimensional feature selection. The first one proposed is a feature selection procedure from the trained back-propagation (BP) neural network. The basic idea of this procedure is to compare the multiplication weights between input and hidden layer and hidden and output layer. In order to simplify the structure, only the multiplication weights of large absolute values are used. The second approach is Mahalanobis-Taguchi system (MTS) originally suggested by Dr. Taguchi. The MTS performs Taguchi's fractional factorial design based on the Mahalanobis distance as a performance metric. We combine the automatic thresholding with MD: it can deal with a reduced model, which is the focus of this paper In this work, two case studies will be used as examples to compare and discuss the complete and reduced models employing BP neural network and MD classifier. The implementation results show that proposed approaches are effective and powerful for the classification.

• Journal of Korean Academy of Nursing
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• v.11 no.2
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• pp.69-82
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• 1981

The purpose of this study was to compare the needs among the patients of hyperthyroid, malignant tumor and normal adult to clarify the level of the need for the patient of hyperthyroid. We analysed relationships between their personal characteristics and their needs to contribute comprehensive nursing care for the patient of hyperthyroid. The . subjects were chosen from 60 persons who visited for general physical examination at Ewha Woman's University Medical Center., 72 patients having diagnosis with hyperthyroidism, and 72 patients admitted with malignant tumors at atomic neuclear medical center. The data was collected from September 1 to December 31, 1980, and the study population was selected by means of convenience sampling. The data was analysed by means of the standard deviation and analysis of variance. The results were as follows: 1. In the patients having hyperthyroid, male to female ratio was 1 :13.5, and incidence was peak at the age groups of 20 to 40. 2. In compare with the needs among 3 groups, there are significant relationships: the patient of cancer has shown the highest score with Achievement, Aggression and Dominance, the patient of hyperthyroid shown higher and the normal adult shown low score. .In the need related with sex, there is significant relationship: the normal adult has shown highest score, the patient having hyperthyroid shown the higher score and the patient of cancer shown the low score. 3. Tn compare with Whang's Edward personal preference schedule, the Hyperthyroidism shown relatively higher needs for aggression, dominance, exhibitionism and sex.

• The Journal of Korean Physical Therapy
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• v.24 no.6
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• pp.388-392
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• 2012

Purpose: Muscle imbalance between upper trapezius (UT) and serratus anterior (SA) during arm elevation is a factor causing shoulder dysfunction. However, there is no study to compare the muscle activities of the UT and middle deltoid (MD). The purpose of this study was to compare the muscle activities of the UT and MD between with and without elevation of shoulder girdle (ESG) during shoulder abduction. Methods: The subjects without (control group=9) or with (ESG group=8) participated in this study. The muscle activities of the UT and MD were measured using a electromyography during $90^{\circ}$ shoulder abducted position in both group. The data in middle of 3-second of the 5-second periods were used. The mean value of three trials was used in the data analysis. For each muscle, independent t-tests were performed to compare for group differences. Results: The muscle activity of UT was significantly greater in ESG group, compared to that of the control group (p<0.05). The muscle activity of MD was significantly smaller in ESG group, compared to that of the control group (p<0.05). Conclusion: These findings showed that low muscle activation of MD as well as SA may contribute to hyperactivity of UT during arm elevation.

• Journal of the Korean Home Economics Association
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• v.38 no.7
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• pp.117-132
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• 2000

The purpose of this study is to develop a computer software titled "Compare & Evaluation Program for Household Consumption". This software is developed in Microsoft Visual Basic 6.0. For the data of this program, the family Income and Expenditure Survey(1998) produced by the National Statistical Office in Korea is used. This program compares income and consumption expenditure for each household with those for standard household according to income level and family life cycle. This program gives information and suggestion for household consumers to manage rational household consumption. Also this study investigates validity and usefulness of the software program by interviewing 20 households used this program.

• The Journal of Information Technology
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• v.12 no.1
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• pp.15-20
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• 2009

In this paper, we aim that it solve to problem of the database hoarding because a week connectivity of wireless networks and cutting of link, Consistency of shared data, optimizing of the log include to Mobile Continuous Query Processing System under the mobile client and server environment. and we demonstrate of the superiority for the new Mobile Continuous Query Processing System compare C-I-S(Client-Intercept -Server)model with performance. and we perform to various experiment in order to establishment of superiority compare the index architecture and method for the realtime Continuous Query Processing. in this paper.

• Journal of Korean Institute of Industrial Engineers
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• v.19 no.3
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• pp.59-70
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• 1993

This paper presents the results of experiments which compare the software complexity between programming languages, i.e, FORTRAN IV and FORTRAN 77, PASCAL and C language, respectively. Each experiment is performed to compare the complexity between programs of same problems using Halstead's method based on operator, and McCabe's based on data flow. As the results of 25 test programs experiments, FORTRAN 77 languages shows superiority to FORTRAN IV languages, and C than that of PASCAL languages, in the aspect of the global software complexity.

• Journal of the Korea Society of Computer and Information
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• v.4 no.2
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• pp.39-45
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• 1999

In this paper we will look at its cryptographic analysis for digital signature and compare it with other complexity measures such as discrete logarithm problem and factorization problem which are based on the security. The paper especially tries to computational complexity so that it can compare and checks the performance analysis, comparison of data size and processing speed through the simulation me

• Proceedings of the Korean Society of Surveying, Geodesy, Photogrammetry, and Cartography Conference
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• 2010.04a
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• pp.27-28
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• 2010

Finding shortest path technique running time differs depending on applying of the algorithm and data, and also used a lot of difference in effectiveness depending on the environment occurs. Therefore, the algorithm and environment based on this study, the relationship between optimal solutions and compare running time.

• Journal of the Korean Data and Information Science Society
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• v.13 no.1
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• pp.67-77
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• 2002

We propose the Bayesian testing for the equality of K-exponential populations means with Type-II censored data. Specially we use the fractional Bayesian factors suggested by O'Hagan (1995) based on the noninformative priors for the parameters. And, we investigate the usefulness of the proposed Bayesian testing procedures via both real data analysis and simulations and compare the classical likelihood ratio(LR) test with the proposed Bayesian test.

• Communications for Statistical Applications and Methods
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• v.14 no.1
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• pp.111-119
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• 2007

In this paper, we develop a nonparametric Bayesian methodology of estimating an unknown distribution function F at the given survival time with current status data under the assumption of Dirichlet process prior on F. We compare our algorithm with the nonparametric maximum likelihood estimator through application to simulated data and real data.