• Journal of the Korean Society of Clothing and Textiles
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• v.16 no.4 s.44
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• pp.431-441
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• 1992

This research was designed to evaluate the effect of need and of demographic variables of adult women on the conformity and individuality in the selection of clothes. 1. There are factors which have effect on variables of need. Marriage status, household type, age have effect on safety need, household type and age have effect on belongingness and love need. Household type and native community have effect on self-esteem need, household type, native community, school career, frequency of contact with mass media have effect on need for self-actualizing. Native community have effect on aesthetic need, and school careers have effect on the desires to know and to understand. 2. Self-esteem need, belongingness and love need, safety need, need for self-actualizing, aesthetic need, frequency of contact with mass media and income as demographic variables are directly related with conformity of clothing. Age, marriage status, native community, household type, school career are indirectly related with conformity of clothing. 3. Self-esteem need, need for self-actualizing, aestheitic need, desires to know and to understand, belongingness and love need, frequency of contact with mass media, household type have direct effect on the individuality of clothing. And age, household type, native community, school career have indirect effect on the individuality of clothing.

• Journal of Korean Institute of Industrial Engineers
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• v.37 no.3
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• pp.180-190
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• 2011

Efficient energy consumption is a critical factor for deployment and operation of wireless sensor networks (WSNs). To achieve energy efficiency there have been several hierarchical routing protocols that organize sensors into clusters where one sensor is a cluster-head to forward messages received from its cluster-member sensors to the base station of the WSN. In this paper, we propose a self-organized clustering method for cluster-head selection and cluster based routing for a WSN. To select cluster-heads and organize clustermembers for each cluster, every sensor uses only local information and simple decision mechanisms which are aimed at configuring a self-organized system. By these self-organized interactions among sensors and selforganized selection of cluster-heads, the suggested method can form clusters for a WSN and decide routing paths energy efficiently. We compare our clustering method with a clustering method that is a well known routing protocol for the WSNs. In our computational experiments, we show that the energy consumptions and the lifetimes of our method are better than those of the compared method. The experiments also shows that the suggested method demonstrate properly some self-organized properties such as robustness and adaptability against uncertainty for WSN's.

• Journal of the Korea Convergence Society
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• v.6 no.5
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• pp.143-155
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• 2015

The purpose of this study is to examine the differences between major satisfaction, university life adjustment, self-esteem, career identity according to the time of department selection of students in the department of occupational therapy. Frequencies, descriptive statistics, chi-square test, ANOVA was conducted using IBM SPSS Statistics 22. The major satisfaction and career identity have statistically significant difference according to the time of department selection. As the time of department selection was earlier(in high school), major satisfaction and career identity turned out to be higher than other times(before application period or application period). Thus, in order to effective life guidance and career guidance for the students in the department of occupational therapy after admission, the carrer programs that convergent the characteristics of the department of occupational therapy are needed.

• ETRI Journal
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• v.41 no.5
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• pp.574-584
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• 2019

A new Mirai variant found recently was equipped with a dynamic update ability, which increases the level of difficulty for DDoS mitigation. Continuous development of 5G technology and an increasing number of Internet of Things (IoT) devices connected to the network pose serious threats to cyber security. Therefore, researchers have tried to develop better DDoS mitigation systems. However, the majority of the existing models provide centralized solutions either by deploying the system with additional servers at the host site, on the cloud, or at third party locations, which may cause latency. Since Internet service providers (ISP) are links between the internet and users, deploying the defense system within the ISP domain is the panacea for delivering an efficient solution. To cope with the dynamic nature of the new DDoS attacks, we utilized an unsupervised artificial neural network to develop a hierarchical two-layered self-organizing map equipped with a twofold feature selection for DDoS mitigation within the ISP domain.

• Journal of Convergence for Information Technology
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• v.11 no.3
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• pp.34-45
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• 2021

The purpose of this study was to investigate the major selection motivation, academic stress, self-efficacy and college life adjustment and identify influencing factors of college life adjustment in the crisis situation of COVID-19. 243 nursing students were selected from 2 regions through convenience sampling. Data were analyzed through descriptive statistics, t-test, ANOVA, Scheffé test, Pearson's correlation coefficients and multiple linear regression analysis using SPSS for Windows Ver. 22.0. The higher the major selection motivation and self-efficacy, the higher the college life adjustment. The lower the academic stress, the higher the college life adjustment. The factors influencing college life adjustment were self-efficacy, major selection motivation, monthly allowance, and the explanatory power of these variables for college life adjustment was 65.6%. Therefore, in order to improve the nursing students' college life adjustment, it is necessary to develop and apply college life adjustment program to increase self-efficacy.

• International Journal of Human Ecology
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• v.4 no.2
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• pp.77-87
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• 2003

This paper tried to construct statistical and econometric models on the basis of economic theory in order to discuss the issue of statistical efficiency and unbiasedness including the sample selection bias correcting problem. Comparative analytical tool were one stage Tobit of Maximum Likelihood estimation and Heckman's two-step Tobit of Ordinary Least Squares. The results showed that the adequacy of model for the analysis on demand and choice, we believe that there is no big difference in explanatory variables between the first selection model and the second linear probability model. Since the Lambda, the self- selectivity correction factor, in the Type II Tobit is not statistically significant, there is no self-selectivity in the Type II Tobit model, indicating that Type I Tobit model would give us better explanation in the demand for and choice which is less complicated statistical method rather than type II model.

• Proceedings of the Korean Information Science Society Conference
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• 2002.04a
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• pp.847-849
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• 2002

인공면역시스템에서 중요한 특징중의 하나는 지속적으로 변화하는 환경에서 자기(self)의 유동적인 패턴을 동적으로 학습하고 비자기(non-self)에 대한 새로운 패턴을 예측하는데 있다. 본 논문은 자기적 용(self-adaptation)의 인공면역체계 특성을 기반으로하여 설계된 dynamics(동적 클론선택 알고리즘, dynamic clonal selection algorithm)의 역할을 논한다. 시스템의 세가지 중요한 변수인 자기내성 기간(Tolerisation Period). 연역 반응 임계값(activation threshold). 수명(life span)에 따라 변화하는 dynamics의 성능을 네트워크 침입에서 흔히 발견되는 시나리오를 모의실험하여 평가한다

• 제어로봇시스템학회:학술대회논문집
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• 2001.10a
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• pp.115.1-115
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• 2001

According as many people use a computer newly, damage of computer virus and hacking is rapidly increasing by the crucial users. A computer virus is one of program on computer and has abilities of self reproduction and destruction like a virus of biology. And hacking is to rob a person´s data in a intruded computer and to delete data in a person´s computer from the outside. To block hacking that is intrusion of a person´s computer and the computer virus that destroys data, a study for intrusion-detection of system and virus detection using a biological immune system is in progress. In this paper, we make a mood of positive selection and negative selection of self-recognition process that is ability of ...

• Bulletin of the Korean Chemical Society
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• v.26 no.12
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• pp.2033-2037
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• 2005

In vitro selection was used to isolate $Mg^{2+}$-dependent self-cleaving ribozymes with cis-cleavage activity from a pre-tRNA library having 40-mer random sequences attached to 5'-end of E. coli $tRNA^{Phe}$. After 8 rounds of SELEX (Systematic Evolution of Ligands by Exponential Enrichment), RNA molecules which can self-cleave at the high concentration of $Mg^{2+}$ were isolated. The selected ribozymes can carry out the self-cleavage reaction in the presence of 100 mM $Mg^{2+}$ but not in 10 mM $Mg^{2+}$. The cleavage sites of the ribozymes are located at +3 and +4 of $tRNA^{Phe}$, compared with +1 position of 5'-end cleavage site of pre-tRNA by RNase P. New RNA constructs deprived of its D stem-loop, anticodon stem-loop, variable loop and T stem-loop, respectively showed the cleavage specificity identical to a ribozyme having the intact tRNA structure. Also, the new ribozyme fused with both a ribozyme and $tRNA^{Leu}$ showed the cleavage activities at the various sites within its sequences, different from two sites of position +3 and +4 observed in the ribozyme with $tRNA^{Phe}$. Our results suggest that the selected ribozyme is not structural-specific for tRNA.

• Journal of the Korean Society of Clothing and Textiles
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• v.32 no.12
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• pp.1857-1865
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• 2008

The purpose of this study was to examine the importance of personal attributes as they related to developing first impressions and managing group acceptance in the context of sorority recruitment process. Specifically, we examined how certain personal characteristics of a sorority member were related to her use of a potential member's clothing and appearance as non-verbal cues during the member selection process. The characteristics identified through the literature review were materialism, fashion clothing involvement, and proximity of clothing to self. A questionnaire was distributed to members of two sorority houses at a southeastern university in the United States. A total of 140 US sorority members participated in the study. The results showed that a member's satisfaction with her chapter, her level of participation, and her length of membership in the chapter had no relation with her tendency to base her member selection on clothing and appearance. However, members' use of clothing and appearance as guiding their member selection decisions was related to other individual characteristics selected for the study(materialism, fashion clothing involvement, and proximity of clothing to self). Fashion clothing involvement and proximity of clothing to self(clothing for acceptance) were most significantly related to clothing-based member selection. Partial correlations were also produced to examine the mediating role of clothing-based impression formation.