• Culinary science and hospitality research
• /
• v.21 no.5
• /
• pp.38-49
• /
• 2015

The purpose of this study was to investigate tangible clues influence on perceived risk and overall satisfaction of customers at family restaurant in South Korea. In this research overall CFA and SEM were employed to analyze the data. Tangible clues were divided to 3 factors and perceived risk to 6 factors. Tangible clue 1 'physical evidence', had negative(-) influence on financial risk(p<0.01), performance risk(p<0.01) and psychological risk(p<0.001). Tangible clue 2 'employee' affected negatively(-) time risk(p<0.001), performance risk(p<0.001), psychological risk(p<0.01) and social risk(p<0.001). And tangible clue 3 'service process' influenced negatively(-) physical risk(p<0.01), time risk(p<0.05), financial risk (p<0.001) and performance risk(p<0.01). And among customer's perceived risks, 3 factors(time risk~p<0.001, performance risk~p<0.001, social risk~p<0.001) influenced negatively(-) their overall satisfaction. Through these results, it appears that customers perceive various tangible clues and risks at family restaurants. And they are likely to satisfy or dissatisfy according to their perceived risks. As a result, food service companies need to research various customers' perceived risks as important marketing strategy, and reduce them for increase and induction of customers' satisfaction.

• Journal of the Korean Association of Geographic Information Studies
• /
• v.23 no.4
• /
• pp.120-139
• /
• 2020

This study is to assess the future agricultural land use and climate change impacts on irrigation water requirement using CLUE-s(Conversion of Land Use and its Effects at Small regional extent) and RCP(Representative Concentration Pathway) 4.5 and 8.5 HadGEM3-RA(Hadley Centre Global Environmental Model version 3 Regional Atmosphere) scenario. For Nonsan city(55,517.9ha), the rice paddy, upland crop, and greenhouse cultivation were considered for agricultural land uses and DIROM(Daily Irrigation Reservoir Operation Model) was applied to benefited areas of Tapjeong reservoir (5,713.3ha) for Irrigation Water Requirement(IWR) estimation. For future land use change simulation, the CLUE-s used land uses of 2007, 2013, and 2019 from Ministry of Environment(MOE) and 6 classes(water, urban, rice paddy, upland crop, forest, and greenhouse cultivation). In 2100, the rice paddy and upland crop areas decreased 5.0% and 7.6%, and greenhouse cultivation area increased 24.7% compared to 2013. For the future climate change scenario considering agricultural land use change, the RCP 4.5 and RCP 8.5 2090s(2090~2099) IWR decreased 2.1% and 1.0% for rice paddy and upland crops, and increased 11.4% for greenhouse cultivation compared to pure application of future climate change scenario.

• Clinical and Experimental Pediatrics
• /
• v.63 no.9
• /
• pp.335-336
• /
• 2020

• Journal of Information Technology Applications and Management
• /
• v.11 no.4
• /
• pp.95-102
• /
• 2004

This paper proposes a method of segmenting compound nouns which include unregistered nouns into a correct combination of unit nouns using characteristics of person's names, loanwords, and location names. Korean person's name is generally composed of 3 syllables, only relatively small number of syllables is used as last names, and the second and the third syllables combination is somewhat restrictive. Also many person's names appear with clue words in compound nouns. Most loanwords have one or more syllables which cannot appear in Korean words, or have sequences of syllables different from usual Korean words. Location names are generally used with clue words designating districts in compound nouns. Use of above characteristics to analyze compound nouns not only makes segmentation more accurate, helps natural language systems use semantic categories of those unregistered nouns. Experimental results show that the precision of our method is approximately 98% on average. The precision of human names and loanwords recognition is about 94% and about 92% respectively.

• Korean Institute of Interior Design Journal
• /
• no.38
• /
• pp.192-200
• /
• 2003

Interactions with the environment do to firm, deny, or challenge the existing knowledge. People who suffer from the loss of the sight have difficulty conceiving the space and the direction as well as walking. In the study, it wanted to reveal that the border that Is provided as a transfer clue has psychological and functional meaning to the sight-disabled people under given circumstances. It suggests that there is another space among the physical borders and analyzes the utilization clue in the entry space, which is the first starting point that can transfer, and obstacle factors which may happen at that point. And, it also wanted to present the surrounding environmental improvement ways for walking which is smooth and confident based on them.

• Journal of the Korean Society of Safety
• /
• v.15 no.1
• /
• pp.167-175
• /
• 2000

Work performance and human error are complicated phenomena so that it is very difficult to grasp the true nature of them. However, Event Related Potential (ERP) may give a clue to them because human brain reflects diverse psychophysiological process. In the present study, the possibility of ERP application to the ergonomic area was evaluated in view of grasping error symptoms. For that purpose, the subjects were asked to count specific characters in a random character matrix on a computer monitor, and their ERP was compared with their performance data. Based upon the results, the amplitude of P300 was not so high as that in the case of the Odd Ball tasks, correct response corresponded with stable ERP with high P300 amplitude whereas wrong response did with unstable, fluctuating ERP with low P300 amplitude. Those results coincided with the work performance, and it was concluded that 3-wave fluorescent with illumination level of 800 lux would be recommendable for the counting task in concern. Conclusively, ERP including P300 might supply an objective clue to the problem of human errors in cognitive process.

• Wind and Structures
• /
• v.16 no.4
• /
• pp.355-372
• /
• 2013

The Gringorten estimator has been extensively used in extreme value analysis of wind speed records to obtain unbiased estimates of design wind speeds. This paper reviews the derivation of the Gringorten estimator for the mean plotting position of extremes drawn from parents of the exponential type and demonstrates how it eliminates most of the bias caused by the classical Weibull estimator. It is shown that the coefficients in the Gringorten estimator are the asymptotic values for infinite sample sizes, whereas the estimator is most often used for small sample sizes. The principles used by Gringorten are used to derive a new Consistent Linear Unbiased Estimator (CLUE) for the mean plotting positions for the Fisher Tippett Type 1, Exponential and Weibull distributions and for the associated standard deviations. Analytical and Bootstrap methods are used to calibrate the bias error in each of the estimators and to show that the CLUE are accurate to better than 1%.

• Genomics & Informatics
• /
• v.7 no.4
• /
• pp.217-219
• /
• 2009

The primary clue for locating protein-coding regions is the open reading frame and the determination of ORFs (Open Reading Frames) is the first step toward the gene prediction, especially for prokaryotes. In this respect, we have developed a web-based ORF search tool called ORF Miner. The ORF Miner is a graphical analysis utility which determines all possible open reading frames of a selectable minimum size in an input sequence. This tool identifies all open reading frames using alternative genetic codes as well as the standard one and reports a list of ORFs with corresponding deduced amino acid sequences. The ORF Miner can be employed for sequence annotation and give a crucial clue to determination of actual protein-coding regions.

• Journal of Korea Trade
• /
• v.25 no.2
• /
• pp.178-195
• /
• 2021

Purpose - This study aims to analyze consumer in the multidimensional aspect of a combination of corporate image and brand personality in order to identify the structural causal relationship between consumer choice and corporate image and brand personality. Design/methodology - This study combined theoretical literature studies with empirical field studies using questionnaire survey methods. To achieve this objective, a hypothetical causal model consisting of three potential variables and nine measurement variables was created based on prior research, and a structural equation model was used to identify the suitability of the model. Findings - The hypothetical model established by this study was judged to be generally appropriate. In particular, corporate image was shown to have significant static direct effects on consumer choice and brand personality. It was also shown that brand personality had a direct static effect on consumer choice, and that corporate image has an indirect significant impact on consumer choice by moderating brand personality. Originality/value - Previous papers have mainly focused on one-dimensional studies of various images, such as companies and brands. However, this paper used a model that analyzed consumer choice through multi-clue information rather than corporate images as the only clue to consumer choice.

• The Journal of Information Systems
• /
• v.31 no.4
• /
• pp.123-143
• /
• 2022

Purpose The purpose of this study was to investigate the experience cues of chatbot services provided to existing customers familiar with the e-commerce environment, and to examine the effect of chatbot service's experience cues on customer experience and chatbot trust. Design/methodology/approach This study was conducted on consumers who experienced chatbot services in an e-commerce environment, the final 299 copies of valid data were obtained, and the research hypothesis was verified using PLS as a structural equation model. Findings As a result of the analysis, it was found that functional cues that cause customer experiences using chatbot services had a positive effect on cognitive and emotional experiences, human cues had a positive effect on cognitive, emotional and relational experiences, and customer experiences had a positive effect on chatbot trust.