• 대한약침학회지
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• 제6권3호
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• pp.87-90
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• 2003

The purpose of this study is to investigate and analyze the selection process of the Science Citation Index(SCI). SCI has been the benchmarking medium of scientific journals for over 40 years by reviewing thousands of journals published each year. The discipline of Traditional Oriental Medicine has been gaining global interest in recent years, yet the number of related journals indexed by SCI has been minimal. Korean Medicine has been producing number of quality journals for decades, but lack of journals in the English language and other problems has hindered consideration for registering with SCI. This paper will focus on the journal selection process at ISI and recommend the criteria needed for a journal to be considered for SCI selection.

• 한국지역사회생활과학회지
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• 제14권3호
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• pp.111-124
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• 2003

This study is designed to understand demographic characteristics, store selection factors, difference in preferred stores which are considered to be related to store selection behaviors for clothes by college students in Yanbian, China. Questionnaire was used for measurement tools to study the subject of the thesis. Questions used for the evaluation criteria for store selection were primarily based on those previously used by the other researchers with some revision and supplementation. Each question was rated in 5 point scale, where 1 means 'not at all' and 5 means 'definitely'. A total of 50 copies of the questionnaire was passed out to college students in Yanbian from March 20 to March 25, 2001, for the preliminary study. The main study was conducted against 450 college students from May 17 to June 5, 2001 The data for the study were analyzed using SAS PC program for frequency distribution, percentage, 1 -test, and one way ANOVA. A significant difference was showed in the preferred stores between male and female students. In total, underground markets were preferred most with 41.6%, followed by markets with 40.3%. A significant difference was showed among groups regarding preferred stores based on an average monthly income, monthly expense on clothing. Three areas of 'product price', 'display and mood of the store' and 'royal store' showed a significant difference in terms of selecting stores based on an average monthly income. A significant difference was showed in only one areas(brand awareness) in selecting stores based on monthly clothing expense.

• PNF and Movement
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• 제10권4호
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• pp.41-48
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• 2012

Purpose : The purpose of his study was to analyze the environmental and the medical selection factor on rehabilition hospital admission. Methods : The subjects were 107 patient and inpatients. The date were collected analyzed using the SPSS window 17.0 program. Results : General hospital select the recommendation 35.5%, medical team professionalism 18%, accessibility 16%, any others 14% appear in the rehabilitation hospital admission selection factor. Conclusion : Rehabilitation hospital admission selection factor is recommend and medical team service approach.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제14권8호
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• pp.3295-3311
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• 2020

With the wide application of hyperspectral images, it becomes more and more important to compress hyperspectral images. Conventional recursive least squares (CRLS) algorithm has great potentiality in lossless compression for hyperspectral images. The prediction accuracy of CRLS is closely related to the correlations between the reference bands and the current band, and the similarity between pixels in prediction context. According to this characteristic, we present an improved CRLS with adaptive band selection and adaptive predictor selection (CRLS-ABS-APS). Firstly, a spectral vector correlation coefficient-based k-means clustering algorithm is employed to generate clustering map. Afterwards, an adaptive band selection strategy based on inter-spectral correlation coefficient is adopted to select the reference bands for each band. Then, an adaptive predictor selection strategy based on clustering map is adopted to select the optimal CRLS predictor for each pixel. In addition, a double snake scan mode is used to further improve the similarity of prediction context, and a recursive average estimation method is used to accelerate the local average calculation. Finally, the prediction residuals are entropy encoded by arithmetic encoder. Experiments on the Airborne Visible Infrared Imaging Spectrometer (AVIRIS) 2006 data set show that the CRLS-ABS-APS achieves average bit rates of 3.28 bpp, 5.55 bpp and 2.39 bpp on the three subsets, respectively. The results indicate that the CRLS-ABS-APS effectively improves the compression effect with lower computation complexity, and outperforms to the current state-of-the-art methods.

• International Journal of Internet, Broadcasting and Communication
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• 제9권4호
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• pp.51-58
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• 2017

This paper deals with the improvement of cluster head selection method in L-SEP for heterogeneous nodes among hierarchical routing protocols of wireless sensor network. Wireless sensor networks are classified into homogeneous and heterogeneous network. In heterogeneous network, SEP, L-SEP are mainly used because cluster head selection probability is different depending on node type. But, since protocol based on SEP has different cluster head selection probabilities depending on the node type, clusters that transmit data inefficiently can be formed. to improve this, it is necessary to select the cluster head that minimizes the transmission distance of member node and the cluster head. Therefore, we propose a protocol that improve the cluster head selection method.

• 한국의류학회지
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• 제12권2호
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• pp.159-167
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• 1988

The purpose of this study was to investigate the relationship between Self-concept, Personal variables and Clothing selection behavior. Self-concept was measured with Choi Jung Hun's 'Perceptual Orientation Scale' and Clothing selection behavior scale was prepared for this study. The questionnaire were completed by 389 women in Taegu. Statistical analysis was performed using F-test, Scheffe's test. The results were as follows; 1. There was significant relationship between Self-concept and Clothing selection behavior. (individuality, conformity, economy, modesty). 2. There was significant difference in clothing selection behavior variables according to age. 3. There was significant difference in individuality and economy according to marital status. 4. There was significant difference in individuality, economy and modesty according to education level. 5. There was significant difference in clothing selection behavior variables according to monthly clothing expenses.

• 대한치과기공학회지
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• 제37권4호
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• pp.285-293
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• 2015

Purpose: The following study analyzes the mediating effects of professionalism on the relationship between major selection conviction and career decision level of dental technology students. It is to be used as basic data for improvement of the students' career decision level and an effective way to train professionals of the colleges. Methods: The survey was conducted on dental technology students. The collected data was analyzed by the statistical program SPSS 18.0. The results were analyzed by reliability, frequency, multiple-way ANOVA, correlation, multiple regression. To test for significance on each item, p<0.05 has been decided as a standard. Results: The analysis shows that the students' age and clinical practice experience bring a significant difference in major selection conviction, career decision level and professionalism. Professionalism has been found to bring significance mediating effects in relation to major selection conviction and career decision level. Conclusion: To improve the quality and pride as a professional as well as satisfaction with major selection can be expected to raise the standard of the students' career decision level.

• 복식
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• 제50권4호
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• pp.63-72
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• 2000

The purpose of this study was to investigate the effects of lifestyle factors on clothing purchase motives, information use, and selection criteria in male college students. The sample included 241 male college students, and an instrument was developed based on the previous studies. The statistical analyses used for this study were factor analysis and multiple regression. The result of factor analysis showed that lifestyle consisted of six factors : clothing interest, serif-confidence, social participation, planned clothing purchase, family-orientation, and conservativeness. Clothing purchase motives consisted of conspicuous consumption motives, fashion and individuality motives, and economic motives. Clothing information use consisted of four factors: paper/display, personal advice, fashion show/clothing observation, and electronic media. Finally. clothing selection criteria consisted of practicability, fashion/individuality, and conformity, Multip1e regression revealed that there were significant effects of lifestyle factors on clothing purchase motives, information use, and selection criteria. For example, self-confidence factor had a negative impact on conspicuous consumption motive, personal advice information use, and fashion/individuality criteria. The relative importance of lifestyle factors were different according to different dimensions of clothing purchase motives, information use, and selection criteria.

• ETRI Journal
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• 제27권6호
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• pp.747-758
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• 2005

The problem of selection among competing models has been a fundamental issue in statistical data analysis. Good fits to data can be misleading since they can result from properties of the model that have nothing to do with it being a close approximation to the source distribution of interest (for example, overfitting). In this study we focus on the preference among models from a family of polynomial regressors. Three decades of research has spawned a number of plausible techniques for the selection of models, namely, Akaike's Finite Prediction Error (FPE) and Information Criterion (AIC), Schwartz's criterion (SCH), Generalized Cross Validation (GCV), Wallace's Minimum Message Length (MML), Minimum Description Length (MDL), and Vapnik's Structural Risk Minimization (SRM). The fundamental similarity between all these principles is their attempt to define an appropriate balance between the complexity of models and their ability to explain the data. This paper presents an empirical study of the above principles in the context of model selection, where the models under consideration are univariate polynomials. The paper includes a detailed empirical evaluation of the model selection methods on six target functions, with varying sample sizes and added Gaussian noise. The results from the study appear to provide strong evidence in support of the MML- and SRM- based methods over the other standard approaches (FPE, AIC, SCH and GCV).

• 노동경제논집
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• 제42권3호
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• pp.39-74
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• 2019

본 논문에서는 2007~2013년 "대졸자직업이동경로조사" 데이터와 Dahl(2002)의 준모수적 방법론을 사용하여 선택편의를 보정한 대졸자들의 취업 초기 임금함수를 추정하고, 각 계수의 지역 간 차이가 선택편의에 기인한 것인지 검증하고자 하였다. 분석 결과, 선택편의를 보정하더라도 성별에 따른 임금 프리미엄의 지역 간 차이는 큰 변화가 없으며, 학력, 전공에 따른 임금 프리미엄의 지역 간 차이는 각각 약 18%, 11% 감소하여 여전히 지역 간에 큰 차이가 존재하는 것으로 나타났다. 한편, 서울 및 경기 지역에 대해서는 선택 편의가 미미한 것으로 나타나 대졸청년층의 수도권 선호 경향은 성별, 학력, 전공 등 노동자들의 특성에 별다른 관계없이 일반적인 것으로 보인다.