• The Journal of Korean Institute of Communications and Information Sciences
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• v.30 no.8A
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• pp.664-670
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• 2005

OFDM is a very attractive technique for achieving high-bit-rate data transmission and high spectrum efficiency in fading environment. However, the reliable detection of an OFDM signal in time-varying multipath fading channels is a challenging problem. Accordingly, various channel estimation methods have been proposed for performance improvement. But, conventional pilot patterns for channel estimation in OFDM systems have not robust characteristics relating to various mobile speed. To solve this drawback in conventional patterns, we propose the pilot patterns modified from conventional patterns to have a good error performance in time-varying fading channel. Simulation results show that the performance of the proposed pilot patterns is better than conventional patterns in fast time-varying channel.

• Journal of Family Resource Management and Policy Review
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• v.19 no.4
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• pp.35-53
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• 2015

The purpose of this study was to investigate the effects of social supports and health on the depression of the rural elderly according to their household patterns. Data were collected from 1,000 of the elderly over 65 living in rural Korea. A questionnaire was used with direct interviews and was analyzed through descriptive statistics, ANOVA, and a multiple regression analysis. The major findings of this study are as follows. First, the general characteristics, social supports, and health of the rural elderly are significantly different according to their household patterns. Second, depression in the rural elderly is also significantly different according to household patterns; elderly people in a single household report greater depression than elders in a coupled household or those in a household with a child. Third, satisfaction with health conditions and nutrition management variables has a significant influence on the depression of the rural elderly in all household patterns. Fourth, there are differences among variables that affect depression of the rural elderly according to their household patterns.

• Journal of Families and Better Life
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• v.29 no.4
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• pp.75-87
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• 2011

The purpose of the study is to examine the effects of adolescents' psychosocial characteristics and parental communication patterns on suicidal ideation. Participants were 520 first- and second- year high-school students in the Seoul and Gyeonggi areas. Questionnaires included items on suicidal ideation, irrational beliefs, depression, hopelessness, and parental communication patterns. Data were statistically analyzed through a t-test, Pearson's correlation, multiple regression analysis, and stepwise multiple regression using SPSS for Win version 12.0. The major results were as follows: 1) Female adolescents had higher levels of irrational beliefs, depression, specific types of communication patterns from the father(placating) and suicidal ideation more than their male counterparts. The male adolescents showed more communication patterns from the father(blaming) than their female counterparts. 2) Depression, irrational beliefs, mothers' communication patterns (blaming), gender and hopelessness were significant predictors of adolescent suicidal ideation. 3) The adolescents' irrational beliefs had a mediating effect on the relationship between their suicidal ideation and dysfunctional parental communication.

• Journal of the Korea Fashion and Costume Design Association
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• v.21 no.2
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• pp.139-151
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• 2019

This study intends to present the directions for effective up-cycling design using Marquage painting through analysis of trends and the formative characteristics of fashion products. Research was conducted through a literature review (published papers, books and web site contents). Cases were analyzed by examining the contents of web sites of global luxury brands, representative workshops, and social network sites (SNS). The results of the study are categorized as follows, First, Marquage paintings are continuously used by global luxury brands and have developed as an expression of self-ownership and the personalization of one's identity. Second, fashion brands use Marquage painting as a customized service for sales. On the other hand, Marquage paintings are used as a kind of up-cycling to present old goods as brand new ones. Third, the patterns used in Marquage painting were classified into five types: geometric patterns, logo patterns, character patterns, lettering patterns, and art patterns. Moreover, formalization by Marquage patterns is represented by identification, customization, and up-cycling. Finally, to up-cycle the expressive features of Marquage- sustainability, scarcity, storytelling, and originality based on factors of up-cycling need to be reflected.

• The KIPS Transactions:PartD
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• v.9D no.5
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• pp.847-858
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• 2002

A purpose of the object-oriented programming is to promote reuse and development time, and to improve software quality. A way for this purpose is using a design information well-defined and tested in previous time when developing software. Such design information is called design patterns. The design patterns are descriptions of abstract solution to recurse software design problems In a systematic and general way. But because the design patterns are descriptions of abstract solution, the specification and application of patterns generally rely on manual implementation and is applied to various forms. As a result, we need to spend a lot of time to develop software program not only because of difficulty in analyzing and applying to patterns consistently, but also because of the frequent programing faults. And because the applied design patterns don't express inside application visually, it is difficult to analyze and test for this design patterns. In this paper, we propose automatic source code generating technique to be able to efficiently apply the element of design patterns when developing application. And we show a way to analyze and use the applied design patterns in application. As a result, the design patterns in application provide the consistent structure and efficiency, and make analysis and using effect increased.

• Journal of Intelligence and Information Systems
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• v.25 no.1
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• pp.63-83
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• 2019

Investors prefer to look for trading points based on the graph shown in the chart rather than complex analysis, such as corporate intrinsic value analysis and technical auxiliary index analysis. However, the pattern analysis technique is difficult and computerized less than the needs of users. In recent years, there have been many cases of studying stock price patterns using various machine learning techniques including neural networks in the field of artificial intelligence(AI). In particular, the development of IT technology has made it easier to analyze a huge number of chart data to find patterns that can predict stock prices. Although short-term forecasting power of prices has increased in terms of performance so far, long-term forecasting power is limited and is used in short-term trading rather than long-term investment. Other studies have focused on mechanically and accurately identifying patterns that were not recognized by past technology, but it can be vulnerable in practical areas because it is a separate matter whether the patterns found are suitable for trading. When they find a meaningful pattern, they find a point that matches the pattern. They then measure their performance after n days, assuming that they have bought at that point in time. Since this approach is to calculate virtual revenues, there can be many disparities with reality. The existing research method tries to find a pattern with stock price prediction power, but this study proposes to define the patterns first and to trade when the pattern with high success probability appears. The M & W wave pattern published by Merrill(1980) is simple because we can distinguish it by five turning points. Despite the report that some patterns have price predictability, there were no performance reports used in the actual market. The simplicity of a pattern consisting of five turning points has the advantage of reducing the cost of increasing pattern recognition accuracy. In this study, 16 patterns of up conversion and 16 patterns of down conversion are reclassified into ten groups so that they can be easily implemented by the system. Only one pattern with high success rate per group is selected for trading. Patterns that had a high probability of success in the past are likely to succeed in the future. So we trade when such a pattern occurs. It is a real situation because it is measured assuming that both the buy and sell have been executed. We tested three ways to calculate the turning point. The first method, the minimum change rate zig-zag method, removes price movements below a certain percentage and calculates the vertex. In the second method, high-low line zig-zag, the high price that meets the n-day high price line is calculated at the peak price, and the low price that meets the n-day low price line is calculated at the valley price. In the third method, the swing wave method, the high price in the center higher than n high prices on the left and right is calculated as the peak price. If the central low price is lower than the n low price on the left and right, it is calculated as valley price. The swing wave method was superior to the other methods in the test results. It is interpreted that the transaction after checking the completion of the pattern is more effective than the transaction in the unfinished state of the pattern. Genetic algorithms(GA) were the most suitable solution, although it was virtually impossible to find patterns with high success rates because the number of cases was too large in this simulation. We also performed the simulation using the Walk-forward Analysis(WFA) method, which tests the test section and the application section separately. So we were able to respond appropriately to market changes. In this study, we optimize the stock portfolio because there is a risk of over-optimized if we implement the variable optimality for each individual stock. Therefore, we selected the number of constituent stocks as 20 to increase the effect of diversified investment while avoiding optimization. We tested the KOSPI market by dividing it into six categories. In the results, the portfolio of small cap stock was the most successful and the high vol stock portfolio was the second best. This shows that patterns need to have some price volatility in order for patterns to be shaped, but volatility is not the best.

• Journal of the Korea Fashion and Costume Design Association
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• v.22 no.3
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• pp.99-110
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• 2020

In terms of junior high school girls' growth patterns during early adolescence, are unlike childhood when relatively balanced growth patterns are found and high school years in which the normal adult body type is nearly reached, growth patterns displayed are imbalanced and rapid. In fact, diverse size changes by body part growth occur significantly different from individual to individual. Therefore, it has been hard for junior high school students to select their proper size when buying school uniforms. This study attempted to acquire basic data needed to address adolescent body shapes and school uniform patterns for junior high school girls, using the data from the 7th Size Korea Survey (2015). Specifically, it provides basic data for the development of school uniform patterns through the classification of their body into particular types, After extracting body shape components and a cluster analysis using ANOVA. According to a factor analysis conducted to determine body shape components, six factors were obtained: Factor 1: bulk and horizontal size, Factor 2: body height and length, Factor 3: shoulder shape and length, Factor 4: shape of upper body, Factor 5: lower drop, Factor 6: upper drop with a variance of 81.46%. To classify junior high school girls' body shape and determine their characteristics, a cluster analysis was performed with the variables obtained using factor analysis. Body shape was classified into three different types: Type 1 accounted for 30.7%. This was a short, slender body with the smallest bulk, size, and upper drop. Type 2 accounted for 24.9%. This was the largest in bulk and horizontal size and highest and length as well. Type 3 accounted for 44.5%. This type was close to average in terms of horizontal size, length and height, and high drop values. To develop school uniforms with great accuracy and body fit for junior high school students, there should be further studies on changes in body shape and their causes. The study results can serve as basic data for comparing branded school uniform patterns for junior high school girls and developing school uniform patterns based on body shape, using 3D virtual clothing simulations.

• Journal of Korean Association for Spatial Structures
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• v.5 no.1 s.15
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• pp.99-105
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• 2005

The pushover analysis is becoming a popular tool for seismic design of building structures. In this paper the state-of-art on static nonlinear analysis of building structures is presented with the emphasis on the effects of analysis parameters; i. e., lateral load patterns, modeling of members, and analysis computer programs. The analysed results may have variation even if a same structure is analysed. This paper is to investigate how large the variation is and what the main causes of the variation are. The difference of analysed results, the resultant variation of lateral story shear force and flexural strength of structural members are discussed. The pushover analysis procedure are routinely used in the seismic design of building structures, but some problems must yet be clarified, such as the effects to evaluate the parameters of analysis on the basis of a lateral load patterns and modeling of members.

• 한국공간정보시스템학회:학술대회논문집
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• 2004.05a
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• pp.103-110
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• 2004

The pushover analysis is becoming a popular tool for seismic design of building structures. In this paper the state-of-art on static nonlinear analysis of building structures is presented with the emphasis on the effects of analysis parameters; i. e., lateral load patterns, modeling of members, and analysis computer programs. The analysed results may have variation even if a same structure is analysed. This paper is to investigate how large the variation is and what the main causes of the variation are. The difference of analysed results, the resultant variation of lateral story shear force and flexural strength of structural members are discussed. The pushover analysis procedure are routinely used in the seismic design of building structures, but some problems must yet be clarified, such as the effects to evaluate the parameters of analysis on the basis of a lateral load patterns and modeling of members.

• Computers and Concrete
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• v.15 no.2
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• pp.279-304
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• 2015

In this study, reliability analyses of steel fiber reinforced concrete (SFRC) corbels based on stochastic finite element were performed for the first time in literature. Prior to stochastic finite element analysis, an experimental database of 84 sfrc corbels was gathered from literature. These sfrc corbels were modeled by a special finite element program. Results of experimental studies and finite element analysis were compared and found to be very close to each other. Furthermore experimental crack patterns of corbel were compared with finite element crack patterns and were observed to be quite similar. After verification of the finite element models, stochastic finite element analyses were implemented by a specialized finite element module. As a result of stochastic finite element analysis, appropriate probability distribution functions (PDF's) were proposed. Finally, coefficient of variation, bias and strength reduction (resistance) factors were proposed for sfrc corbels as a consequence of stochastic based reliability analysis.