• Journal of Ecology and Environment
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• v.36 no.3
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• pp.151-158
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• 2013

We estimated phenotypic selection on the height and number of flowering-stalks in a rosette annual Cardamine hirsuta by applying path analysis to the data collected at three natural populations located in central Japan. The path from rosette size was positively connected with the fruit production through the both height and number of flowering-stalks. In the all three populations, the paths from the number of stalks were more strongly connected with the fruit production than from the height of stalks. The paths from the rosette size showed similar magnitude with the number of stalks and the height of stalks. The direct path from rosette size to the fruit production was detected only at one site. These results suggest stronger phenotypic selection on the rosette size through the number of stalks than the height of stalks. The lateral branching rather than increment of individual inflorescence size is the major response to control the fruit production for C. hirsuta growing in a natural habitat.

• Journal of Embryo Transfer
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• v.20 no.3
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• pp.217-232
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• 2005

The objective of this study was to determine the response of QTL in each generation during selection to develop inbred lines. The simulation program was written in Fortran. Magnitude of QTL effects, base population size, number of QTL assigned to population, and the allelic frequency for the positive allele at each major QTL were highly associated with number of generations to fixation of QTLs during selection. Populations with larger QTL effects and larger base population size had more individuals with fixed QTL. However, a smaller number of QTL assigned to population had a higher fraction of individuals with fixed QTL at each generation compared with more populations with QTL. This simulation study will help to design biological experiments for detection of QTL-marker association using inbred population and to determine optimum number of lines with fixed QTL during inbred line development. To complement this study, additional simulation should be need with abundant replicates, more various population sizes, magnitude of QTL effects, and recombination between markers and QTLs.

• Communications for Statistical Applications and Methods
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• v.22 no.2
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• pp.173-180
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• 2015

We propose a selection procedure of principal components in principal component regression. Our method selects principal components using variable selection procedures instead of a small subset of major principal components in principal component regression. Our procedure consists of two steps to improve estimation and prediction. First, we reduce the number of principal components using the conventional principal component regression to yield the set of candidate principal components and then select principal components among the candidate set using sparse regression techniques. The performance of our proposals is demonstrated numerically and compared with the typical dimension reduction approaches (including principal component regression and partial least square regression) using synthetic and real datasets.

• Communications of the Korean Institute of Information Scientists and Engineers
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• v.5 no.2
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• pp.41-48
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• 1987

This paper is concerned with selection evaluation technique among three major performance evaluation techniques which are suitable for new computer system selection. It will discuss benchmarks, synthetic programs and simulation among various techniques for selection evaluation. It will show a formal technique using integer programming models for selecting a suitable job mix. It will suggest a simple method for comparing performance evaluation results. It will also provide benchmarks and synthetic program operation rules and expected outputs in appendix.

• Journal of Family Resource Management and Policy Review
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• v.9 no.2
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• pp.1-21
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• 2005

The purpose of this study was to analyze the effect of the influencing factors on the economic and educational supports selection of small self-employed business. A sample of 321 was selected from self-employed workers living in Daegu. For data analysis, logistic regression was used. The major findings were as follows: 1 The determinants of the economic supports selection in self-employed business were father's working experiences in self-employed business, taking employees or not in business, having housing ownership or not, and as well as the amount of starting capital. 2. The determinants of the educational supports selection in self-employed business were self-employer's working experience as self-employed before or not, and empowerment with self-employed work.

• Journal of Engineering Education Research
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• v.19 no.6
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• pp.10-19
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• 2016

This study was conducted to explore the major adjustment factors in undergraduates by investigating the characteristics of group which doesn't correspond to Holland's congruence assumption. For this study, 313 sophomore year undergraduates in engineering were surveyed. The results of this study showed as follows. First, the group which doesn't correspond to Holland's congruence assumption represented 16.6% of all. Second, there were significant differences of basic psychological needs among four groups by interest-major congruence and major adjustment. These findings imply that major selection in congruence with interest is not critical and we should also consider basic psychological needs(autonomy, competence, relatedness) for engineering major adjustment.

• Culinary science and hospitality research
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• v.15 no.4
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• pp.286-298
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• 2009

The purpose of this study is to determine potential associations among consumer preference for American beef, consumers' involvement in selection of desired beef, and their intentions to purchase beef. In order to meet the above purpose, this study surveyed the visitors who shopped at 2 big discount stores selected in each of 3 metropolitan cities(Seoul, Daejeon and Daegu) from July 11 to 13, 2008. Total 278 sheets of the questionnaire were collected and used for final data analysis. As a result, it was found that the consumers responded most sensitively to the safety of food when buying beef but didn't care much about the amount of fat and beef brand. In terms of imported beef, it was found that Australian beef was considered reliable by consumers, and their preference for Korean beef was positively correlated with that for Australian beef. In addition, in regard to the attributes of beef selection, it was found that low involvement group had higher intentions to purchase American beef than high involvement group. In order to determine the potential effects of consumers' involvement in the attributes of beef selection on their intentions to purchase American beef, this study conducted data analysis in control of consumer preference for American beef. As a result, it was found that consumers' involvement in the attributes of beef selection had significant effects on their intentions to buy American beef. And sex was found to be one of the demographic characteristics associated with involvement in the attributes of beef selection, particularly associated with low involvement. Depending on sex, it was found that women had lower preference for American beef than men.

• Journal of Korea Multimedia Society
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• v.21 no.10
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• pp.1182-1194
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• 2018

The Dynamic Adaptive Streaming over HTTP(DASH) is envisioned to evolve to meet an increasing demand on providing seamless video streaming services in the near future. The DASH performance heavily depends on the client's adaptive quality selection algorithm that is not included in the standard. The existing conventional algorithms are basically based on a procedural algorithm that is not easy to capture and reflect all variations of dynamic network and traffic conditions in a variety of network environments. To solve this problem, this paper proposes a novel quality selection mechanism based on the Deep Q-Network(DQN) model, the DQN-based DASH Adaptive Bitrate(ABR) mechanism. The proposed mechanism adopts a new reward calculation method based on five major performance metrics to reflect the current conditions of networks and devices in real time. In addition, the size of the consecutive video segment to be downloaded is also considered as a major learning metric to reflect a variety of video encodings. Experimental results show that the proposed mechanism quickly selects a suitable video quality even in high error rate environments, significantly reducing frequency of quality changes compared to the existing algorithm and simultaneously improving average video quality during video playback.

• Journal of Preventive Medicine and Public Health
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• v.25 no.1 s.37
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• pp.53-63
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• 1992

There are increasing interest and need for information on health care consumer with the significance of hospital marketing and strategic planning being increasingly emphasized. This study was conducted to investigate the criteria for selection of medical facilities according to the characteristics of health care consumer by the types of medical services on a sample of 1,500 population aged 20 years and above. Major findings are as follows ; 1. When considering the criteria for selection of medical facilities into two factors, namely, quality or convenience factors, convenience factor was the major contributor for outpatient and dental services whereas it was quality factor for inpatient services. 2. Females and those residing in large cities selected medical facilities based on convenience factor in the outpatient services. In the case of inpatient service, persons who considered their present health status to be good and whose ages were 50 years old and above choose medical facilities based on quality factor. 3. Persons who considered medical facilities to be profit-making tended to choose medical facilities based on convenience factor for outpatient services. There were no differences in the cases of inpatient and dental services. 4. There was no significant difference on the criteria for selection of medical facilities according to the decision maker for selection or trust on medical facilities. On the use of health service information, selection of medical facilities was based on quality factor for those who made more use of the information in the cases of outpatient and dental services. 5. Analysis using the logistic regression model on the criteria for the selection of medical facilities with the characteristics of health care consumer as independent variables was performed. The selection of medical facilities was significantly related with residential area, sex, and use of information on medical facilities for outpatient services and with age, average monthly income, and perception of health status for inpatient services. For dental services significant association with residential area and use of information on medical facilities was seen. The results of this study, despite some limitations, can be used as baseline data for marketing and strategic planning of hospital management.

• Journal of Information Science Theory and Practice
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• v.9 no.4
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• pp.15-34
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• 2021

Text clustering is one of the most commonly used methods for detecting themes or types of documents. Text clustering is used in many fields, but its effectiveness is still not sufficient to be used for the understanding of Arabic text, especially with respect to terms extraction, unsupervised feature selection, and clustering algorithms. In most cases, terms extraction focuses on nouns. Clustering simplifies the understanding of an Arabic text like the text of the Quran; it is important not only for Muslims but for all people who want to know more about Islam. This paper discusses the complexity and limitations of Arabic text clustering in the Quran based on their themes. Unsupervised feature selection does not consider the relationships between the selected features. One weakness of clustering algorithms is that the selection of the optimal initial centroid still depends on chances and manual settings. Consequently, this paper reviews literature about the three major stages of Arabic clustering: terms extraction, unsupervised feature selection, and clustering. Six experiments were conducted to demonstrate previously un-discussed problems related to the metrics used for feature selection and clustering. Suggestions to improve clustering of the Quran based on themes are presented and discussed.