• International Journal of Advanced Culture Technology
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• v.8 no.4
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• pp.212-219
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• 2020

We conducted this study to identify the accommodation applications users' lifestyle types and the composition factors for consumers' accommodation applications selection attributes and to identify the difference in the selection attributes perception of accommodation applications between groups classified by user's lifestyle types. According to the study, 6 factors were derived as the accommodation applications users' lifestyle types and were named social/leisure-oriented type, fashion-seeking type, culture-seeking type, self-examining type, self-centered type, family-oriented type. Also 6 factors were derived as the accommodation applications selection attributes and were named convenience, interactivity, economic efficiency, transaction reliability, product reliability and informativeness. Valid clusters were divided into four groups and were named culture/tourism group, self-examining group, passive and cautious group and Social and practicality-seeking group. Most of the selection attributes perception of accommodation applications between groups had statistically significant differences(p<.05), except for some items of transaction reliability. Based on the results of this study, we should strive to establish effective marketing strategies that reflect differences in the selection attributes perception of the accommodation application between groups classified by users' lifestyle types.

• International journal of advanced smart convergence
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• v.11 no.3
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• pp.119-131
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• 2022

The purpose of this study is to analyze the difference in the degree of self-determination between the criteria that general high school students consider important when selecting subjects (hereinafter referred to as 'importance') and the criteria that are actually applied when selecting subjects (hereinafter referred to as 'implementation'), based on the existing motivation type discrimination scale and subject selection criteria scale. As a result of analysis based on the data of a total of 786 high school students, the degree of self-determination was found to be different for all 34 questions and 8 factors in importance and implementation. In general, the questions and factors showed a simple structure with the motivation types and showed the lowest correlation with the motivations at both ends of the self-determination continuum. Among the factors that students consider important when selecting subjects and the factors that are actually applied, the 'SAT' factor showed the highest positive correlation with identification control. In addition, it was found that autonomous subject selection was more preferred than subject selection based on extrinsic motivation. These results are not only meaningful as the first study to analyze the degree of self-determination in the subject selection of high school students, but also can be used as useful data for customized subject selection guidance according to the degree of self-determination. The implications of this study and suggestions for follow-up studies were discussed.

• Journal of the Korean Society of Food Culture
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• v.38 no.6
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• pp.402-414
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• 2023

This study evaluated the consumers' demands and points of improvement for restaurant meal replacement through importance-performance analysis by the restaurant meal replacement segment market using food involvement. The results were as follows. First, after segmenting the restaurant meal replacement market using food involvement, it was classified into three markets (multiple involvements, exploration-oriented, and product quality-oriented). Second, an analysis of the importance of restaurant meal replacement selection attributes revealed taste, sanitation, quality, freshness, price, saving time, texture, ingredients, preparation process, and quantity to be highly important. An analysis of the differences according to the market type revealed the multiple involvement type to be more important than other groups, considering the restaurant meal replacement selection attribute element. Third, an analysis of the importance-performance analysis of restaurant meal replacement selection attributes revealed that quantity and price as the selection attributes that needed to be improved first in all three markets. In addition, in the multiple involvement type, food additives appeared as a selection attribute requiring priority improvement, revealing the characteristics of a market that cares about diet and health.

• International Journal of Computer Science & Network Security
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• v.24 no.5
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• pp.212-216
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• 2024

Feature Selection have turned into the main point of investigations particularly in bioinformatics where there are numerous applications. Deep learning technique is a useful asset to choose features, anyway not all calculations are on an equivalent balance with regards to selection of relevant features. To be sure, numerous techniques have been proposed to select multiple features using deep learning techniques. Because of the deep learning, neural systems have profited a gigantic top recovery in the previous couple of years. Anyway neural systems are blackbox models and not many endeavors have been made so as to examine the fundamental procedure. In this proposed work a new calculations so as to do feature selection with deep learning systems is introduced. To evaluate our outcomes, we create relapse and grouping issues which enable us to think about every calculation on various fronts: exhibitions, calculation time and limitations. The outcomes acquired are truly encouraging since we figure out how to accomplish our objective by outperforming irregular backwoods exhibitions for each situation. The results prove that the proposed method exhibits better performance than the traditional methods.

• Journal of the Chungcheong Mathematical Society
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• v.27 no.1
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• pp.145-149
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• 2014

I consider the optimal consumption and portfolio selection problem with nonnegative wealth constraints using the dynamic programming approach. I use the constant relative risk aversion (CRRA) utility function and disutility to derive the closed-form solutions.

• Journal of the Korean Statistical Society
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• v.17 no.1
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• pp.1-8
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• 1988

Kernel estimates of an unknown regression function are studied. Bandwidth selection rule minimizing integrated absolute error loss function is considered. Under some reasonable assumptions, it is shown that the optimal bandwidth is unique and can be computed by using bisection algorithm. Adaptive bandwidth selection rule is proposed.

• Journal of the Chungcheong Mathematical Society
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• v.25 no.2
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• pp.277-281
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• 2012

I study an optimal consumption and portfolio selection problem with regime-switching using a dynamic programming method. With constant relative risk aversion (CRRA) utility I obtain optimal solutions in closed-form.

• Journal of Science Education
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• v.39 no.2
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• pp.278-289
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• 2015

The purpose of this study is to analyze selection methods of gifted students. This study focuses on the understanding the characteristics of gifted students in accordance with the selection methods, i.e. the examination selection and automatic promotion by analyzing and comparing the academic emotion, meta-cognition, and self-efficacy between gifted students selected according to the selection methods. Moreover, for the purpose of the effective gifted education, this study aims to arrange a reasonable basis for the discrimination and selection of gifted students. The results of this study were as follows. First, there was no meaningful difference between gifted students selected by an examination and promoted automatically in view of academic emotion, meta-cognition, and self-efficacy of gifted students. It is determined that there is no difference between the effects of selection methods under the condition of the same group of gifted students. Second, regarding the academic emotion of gifted students, there is no significant difference in both the elementary and middle school in case of examination selection. However, in case of the automatic promotion, the academic emotion of gifted students promoted automatically in the gifted education center was higher than that of the gifted students in the gifted class (p < .05). Regarding the meta-cognitive skill, there is no difference in the elementary school between the selection methods. In case of the examination selection in the middle school, the meta-cognitive skill of male students of the gifted education center was higher than that of the female and gifted class students (p < .05). In case of the automatic promotion in the middle school, the meta-cognitive skill of students of the gifted education center was higher than that of students of the gifted class (p < .05). As for the case of self-efficacy, there were no differences between the selection methods. In the automatic promotion, self-efficacy of students of the gifted education center was higher than that of students of the gifted class (p < .05).

• Asian-Australasian Journal of Animal Sciences
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• v.29 no.1
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• pp.36-42
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• 2016

Milk-related traits (milk yield, fat and protein) have been crucial to selection of Holstein. It is essential to find the current selection trends of Holstein. Despite this, uncovering the current trends of selection have been ignored in previous studies. We suggest a new formula to detect the current selection trends based on single nucleotide polymorphisms (SNP). This suggestion is based on the best linear unbiased prediction (BLUP) and the Fisher's fundamental theorem of natural selection both of which are trait-dependent. Fisher's theorem links the additive genetic variance to the selection coefficient. For Holstein milk production traits, we estimated the additive genetic variance using SNP effect from BLUP and selection coefficients based on genetic variance to search highly selective SNPs. Through these processes, we identified significantly selective SNPs. The number of genes containing highly selective SNPs with p-value <0.01 (nearly top 1% SNPs) in all traits and p-value <0.001 (nearly top 0.1%) in any traits was 14. They are phosphodiesterase 4B (PDE4B), serine/threonine kinase 40 (STK40), collagen, type XI, alpha 1 (COL11A1), ephrin-A1 (EFNA1), netrin 4 (NTN4), neuron specific gene family member 1 (NSG1), estrogen receptor 1 (ESR1), neurexin 3 (NRXN3), spectrin, beta, non-erythrocytic 1 (SPTBN1), ADP-ribosylation factor interacting protein 1 (ARFIP1), mutL homolog 1 (MLH1), transmembrane channel-like 7 (TMC7), carboxypeptidase X, member 2 (CPXM2) and ADAM metallopeptidase domain 12 (ADAM12). These genes may be important for future artificial selection trends. Also, we found that the SNP effect predicted from BLUP was the key factor to determine the expected current selection coefficient of SNP. Under Hardy-Weinberg equilibrium of SNP markers in current generation, the selection coefficient is equivalent to $2^*SNP$ effect.

• Journal of the Korean association of regional geographers
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• v.21 no.3
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• pp.569-582
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• 2015

This study deals with six spa touristy places to analyze the similarity in image and selection factor recognition through multidimensional scaling method. The result is as following. First, as a result of analysis in the similarity in Image of the 6 touristy Spa places, each "Asan and Onyang" and "Suanbo and Ducksan" form different similar image groups. However, Yoosung does not share the similarity in Image that other Spa places own. Second, as a result of analysis of selection factors in the six touristy spa places, it is found out that there is no big difference in selection factors such as 'spa facility', 'a fee to use', and 'quality of service' in the six spa places. Yet, Onyang, Yoosung, Ducksan, and Suanbo spa reflect high selection factor as 'a recognized spa place' different from Asan and Dogo where the reflection of selection factor is low. Onyang, Yoosung, and Dogo regions reflect high selection factor as a 'Touristy destination' while Asan reflects low selection factor.