• Journal of the Korea Institute of Military Science and Technology
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• v.27 no.3
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• pp.406-415
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• 2024

As the equipment of the military has become more advanced and expensive, the cost of securing spare parts is also constantly increasing along with the increase in equipment assets. In particular, forecasting demand for spare parts one of the important management tasks in the military, and the accuracy of these predictions is directly related to military operations and cost management. However, because the demand for spare parts is intermittent and irregular, it is often difficult to make accurate predictions using traditional statistical methods or a single statistical or machine learning model. In this paper, we propose a model that can increase the accuracy of demand forecasting for irregular patterns of spare parts demanding by using a combination of statistical and machine learning algorithm, and through experiments on Cheonma spare parts demanding data.

• Journal of Korean Home Economics Education Association
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• v.15 no.1
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• pp.1-14
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• 2003

This study was designed to contribute for improvements of middle school students' quality of life and to Present materials necessary for applying leisure activity Programs for them through an analysis of the patterns of the leisure activities and life satisfaction .For the statistical analysis. Cronbach α. t-test. ANOVA. Duncan's multiple range test were calculated. The Participants were 515 second glade students of middle school in Kangwon Province . The findings can be summarized as follows. 1) The average point of patterns of the subjects participating in leisure activities was 2.38. and activities. which are associated with computers. accounted for 3.35. the highest mark among the various patterns. 2) The patterns of the subjects' leisure activities varies significantly with sociodemographical variables such as sex. location. level of living. pocket money. and leisure expenditure Such factors as leisure time in weekends and the degree of interest in leisure made a significant difference in the patterns of leisure activities .3) The average Point of subjects life satisfaction was 3.49. and their family life satisfaction reached to 3.81 the highest mark. And the Patterns of leasure activity had a Positive relationship with the subjects' life satisfaction. consisting relatively low correlation. However, the more the subjects take Part in leasure. the more they were satisfied with life.

• Transactions of the Korean Society of Mechanical Engineers A
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• v.37 no.3
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• pp.287-294
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• 2013

The roll-to-roll (R2R) printed electronics system is one of the most promising technologies for the printed electronics industry because of several advantages in terms of productivity and cost. In the R2R printed electronics system, the characteristics of the printed patterns are an important issue that determines the functional quality of the printed matter. This study analyzed how several main factors may affect the characteristics of printed patterns, especially the thickness and surface roughness. The statistical model for estimation of the printed pattern was developed as a function of the main factors using the design of experiment (DOE) methodology. Based on the statistical analysis results, the R2R printed electronics system can be designed to control the characteristics of printed patterns.

• Journal of Convergence for Information Technology
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• v.8 no.4
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• pp.247-253
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• 2018

This study was designed to analyze the difference in attendance and academic achievement based on spatio-temporal data relate to e-Learning patterns of university e-Learning learners. This study collected e-Learning data from 68 e-Learning classes, 13,611 learners during 3 years. Collected data were analyzed by t-test and two-way ANOVA. Major study findings were as follows. Firstly, e-Learning learners in school received higher than those of learners outside school both in attendance and academic achievement, while that academic achievement showed statistical significance. Secondly, the attendance and academic achievement by the day was in the order of e-Learning learners mainly in the morning, those in the afternoon and those at night, in addition there was statistical significance. Lastly e-Learning learners in the weekdays appeared higher than those of learners in the weekends both in attendance and academic achievement, also both of them showed statistical significance.

• Journal of Families and Better Life
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• v.14 no.4
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• pp.203-218
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• 1996

This study analyzed the relationships among the components of home management system. Through this it make to explain relationship between values and planning exactly and partially to test empirically system model to home management 650 housewives were adapted as data. Cluster analysis \chi$2 and ANOVA were used as statistical analysis. The resultes are summarized as follows 1) Goal-centered planning level was higher than that of resource-centered By 2 plannings subjects were classified into 4 planning styles : active morphogenic resource-reorganized demand-reorganized passive morphostatic style. 2) A difference between terminal value patterns and planning styles was no significant but a difference between instrumental value patterns and planning styles was significant. Family life satisfaction showed significant differences by not value patterns but planning styles. Because of high family life satisfaction as output of management active morphogenic style was successful. For succ ssful planning, it was suggested that homemarkers should possess values related broadminded loving and forgiving.

• Journal of Electrical Engineering and Technology
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• v.12 no.1
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• pp.402-410
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• 2017

For many years, researchers in face description area have been representing and recognizing faces based on different methods that include subspace discriminant analysis, statistical learning and non-statistics based approach etc. But still automatic face recognition remains an interesting but challenging problem. This paper presents a novel and efficient face image representation method based on Optimized Local Ternary Pattern (OLTP) texture features. The face image is divided into several regions from which the OLTP texture feature distributions are extracted and concatenated into a feature vector that can act as face descriptor. The recognition is performed using nearest neighbor classification method with Chi-square distance as a similarity measure. Extensive experimental results on Yale B, ORL and AR face databases show that OLTP consistently performs much better than other well recognized texture models for face recognition.

• Journal of the Korean housing association
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• v.8 no.2
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• pp.49-59
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• 1997

The purpose of this study is to analyze Phenomenon of the residential movement and important factors in the city of Seoul. First, The patterns of residential location during 1975-1994 in terms of macro aspects are to be investigated. Second, Residential patterns among households based on the literature survey data in terms of micro aspects are to be indentified. Methodology applied to the study is regression analysis using 1975-1994statistical data and content analysis based on the literature survey. The results of this study are as follows : 1) The factors of residential movement in the city of Seoul are explained by the changes of the economic structure, residential environment, individual characteristics, and housing policy. That is. the development of transportation systems, the number of homeownership scheme holders, crime rates, increase of residential areas effect on the decrease of the population in the city center of Seoul 2) According to the income groups and resident characteristics, Residential location patterns are different in residential location choice and the scope of spatial migration.

• Journal of Families and Better Life
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• v.21 no.5
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• pp.1-12
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• 2003

Determinants of consumption patterns of elderly couple and elderly single were investigated using the 1996 National Survey of Family Income and Expenditure by National Statistical Office. There were large differences in consumption patterns between the elderly couple and single in terms of monthly expenditures and average budget shares of individual consumption items. Consumption functions of individual items were estimated using double-log function. Major determinants of consumption functions were income, overspending behavior, educational level of householder, and net worth for both groups, householder's job status and city residence mainly for elderly couple, and age of householder mainly for elderly single. In addition, income elasticity of elderly households was larger than net worth elasticity for all consumption items.

• The Magazine of the Society of Air-Conditioning and Refrigerating Engineers of Korea
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• v.15 no.3
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• pp.283-291
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• 1986

An experimental study has been conducted to investigate characteristics of the flow patterns, its transitions and the mean local void fraction obtained from which the probe was traversed diametrically from center to wall of the test section in the vertical upward air-water flow for isothermal condition using the electrical conductivity probe. It has been shown that the probability density function of the mean local void fraction measured statistically from a Fast Fourier Transform becomes a criterion for the flow patterns and the mean local void fraction profile is a highly function of the flow patterns.

• The Transactions of the Korean Institute of Electrical Engineers A
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• v.48 no.1
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• pp.76-81
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• 1999

The degree of relative similarity between 2D patterns is obtained using Open-Ball Scheme. Open-Ball Scheme employs a method of transforming the geometrical information on 3D objects or 2D patterns into the features to measure the relative similarity for object(patten) recognition, with invariance on scale, rotation, and translation. The feature of an object is used to obtain the relative similarity and mapped into [0, 1] the interval of real line. For decades, Moment-Invariant Method has been used as one of the excellent methods for pattern classification and object recognition. Open-Ball Scheme uses the geometrical structure of patterns while Moment Invariant Method uses the statistical characteristics. Open-Ball Scheme is compared to Moment Invariant Method with respect to the way that it interprets two-dimensional patten classification, especially the paradigms are compared by the degree of closeness to human's intuitive understanding. Finally the effectiveness of the proposed Open-Ball Scheme is illustrated through simulations.