• Journal of The Korean Association For Science Education
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• v.38 no.1
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• pp.43-55
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• 2018

In this study, we investigated high school students' analogy generating processes using the think-aloud method. Twelve high school students in Seoul participated in this study. The students were asked to generate analogies on ionic bonding and were also interviewed after their activities. Their activities and interviews were recorded and videotaped. After classifying the analogy generating processes into the three stages-encoding, exploring sources, and mapping, several process components were identified. The analyses of the results indicated that they checked the target concept given and selected one for a salient attribute among many attributes of the target concept at the stage of encoding. After selecting the salient attribute, they translated the salient attribute that is a scientific term into an everyday term, which is named as 'extracting salient similarities.' At the stage of exploring sources, they chose the sources based on salient similarities and chose the final source through circular processes, which included the process components of 'evaluating the sources' and 'discarding the sources.' At the final stage, they added the attributes to analogs and mapping them to the attributes of the target concept, which is named as 'mapping shared attributes.' There were some cases that 'mapping shared attributes' appeared after they specified the situation of analogs or assumed new situation, which is named as 'specifying the situations.' Some students recognized unshared attributes in their analogs.

• Journal of Korean Society of Transportation
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• v.28 no.5
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• pp.65-75
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• 2010

The objective of this paper is to quantify economic values of parcel service attributes (safety, reliability, quickness, and kindness and customer service) using the contingent choice method and to investigate impact factors (such as sex, age, and education), which influence choice of desirable parcel services. As empirical results, the marginal willingness-to-pay for multiple attributes of parcel service is calculated as about 2,349.6 KRW for the safety attribute, about 829.3 KRW for the reliability attribute, about 588.5 KRW for the quickness attribute, and about 358.8 KRW for the kindness and customer service attribute, according to the estimation model without covariates. The overall results indicate that the safety attribute ranks highest among parcel service attributes, followed by the reliability attribute, quickness attribute, and kindness and customer service attribute. These results can be useful in the decision-making process for establishing desirable pricing policies for parcel service.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2004.11a
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• pp.277-280
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• 2004

디지털 방송의 시작과 함께, TV화면에서 채널이나 프로그램을 직접 검색학 수 있는 EPG(Electronic Program Guide)라는 새로운 방송 서비스가 제공되고 있다. 그러나 아직까지는 시청자 입장을 고려한 EPG의 사용자 인터페이스에 대한 연구는 미흡한 실정이다. TV는 특정 계층이 아닌 모든 사람이 시청하는 매체이의로 시청자에게 프로그램을 쉽게 찾게 하기 위해서는 직관적인 사용자 인터페이스가 필요하다. 즉 EPG를 이용해 TV 시청자가 쉽게 이해할 수 있는 속성들을 선택해 프로그램을 빨리 찾을 수 있게 하는 것이다. 이를 위해본 논문에서는 먼저 TV 프로그램을 구분하는 대표적인 속성들인 장르, 시간, 등급 등을 체계적으로 분류하였다. 이렇게 체계화된 속성득의 값들을 시청자들이 EPG를 통해 지정하게 하되, 값을 지정하는 속성들의 순서를 편한 데로 선택할 수 있게 하는 사용자 인터페이스를 설계하였다. 그리고 기존의 상용 EPG와 본 논문에서 제안하는 EPG의 Usability Test를 통해 두 가지 EPG의 기능의 우수성을 비교평가 하였다.

• Annual Conference on Human and Language Technology
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• 1989.10a
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• pp.219-224
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• 1989

본 연구는 한영 기계 번역을 위한 사전 중에서 한국어 조사 사전에 대한 모델을 제시하였다. 특히 정확한 역어 선택을 위한 제약정보를 수집하는데 중점을 두었다. 지금까지의 한국어 조사에 대한 역어 선택 방법은 체언의 속성 정보에 의한 역어 선택과 default 역어의 선택이었다. 그러나 한국어의 한 조사에 대응하는 영어의 전치사의 수가 너무 많음으로 인하여 이러한 기존의 방법을 사용할 경우 고질의 변역은 기대할 수 없다. 따라서 본 논문에서는 정확한 역어의 선택을 위하여 조사의 격 분류와 체언의 속성 정보를 더욱 세분화 시키고, 이를 이용한 용언의 기본 구문 패턴을 재정립하였다. 또한 한 두개의 default 역어로 인한 번역의 부 정확성을 탈피하기 위하여 default 역어 및 체언의 속성 정보에 의한 역어를 용언의 의미적 분류에 의해 더욱 세분화시킴으로써 정확한 역어를 선택하는 방법을 제시하였다.

• The Journal of the Korea Contents Association
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• v.13 no.6
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• pp.459-468
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• 2013

This paper is 1) to find out how they recognize medicinal foods, 2) to analyze what make it select for functional restaurants, then which attributes affect on satisfaction and recommendation, 3) and to suggest distinguished guidelines for attracting core customers continuously. The questionnaires are distributed 200 who had only visited in medicinal restaurants and used for data analysis 181 except 19. The findings are summed up as follows; 1. All three factors which are showed 'health managing & prevention', 'functional foods', and 'cuisine presentation' had significant on satisfaction, recommendation, and revisited intention in medicinal restaurant. Among them, 'health managing & prevention' factor had significant highly. 2. Satisfaction variable had affected strongly on recommendation, and also, recommendation had affected on revisited intention.

• Journal of Digital Convergence
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• v.11 no.11
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• pp.289-304
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• 2013

In Korea the consumption of coffee has been continuously increased last 10 years. During the period the market size and the numbers of the coffee shop also has been expanded dramatically. The purpose of this study was to examine whether the consumer's selection attributes of coffee shop affect the revisit intention of coffee shop and the brand trust had moderating effects between consumption attributes and revisit intention. Also it was analyzed whether there were statistic differences according to the demographic characteristics. For this study the survey was conducted on Seoul City and Kyeongki-do province and 600 questionnaires were distributed and 480 were collected and 470 samples were analyzed. The results of this study were as follows. All the factors of the consumer's consumption attributes of coffee shop had affected the revisit intention. And the factors of brand trust had moderating effects on revisit intention. There were statistic difference by gender for the additional services and there were also statistic difference according to the age group for the new technology environmental service of the inside of coffee shop. The implications of this study were the selection attributes of coffee shop were diverse and the brand trust were considered significant and the consumer's preferences were different according demographic characteristics such as gender, age, and incomes.

• The Journal of the Korea Contents Association
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• v.8 no.10
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• pp.351-360
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• 2008

The purpose of this study is to segment visitors for beer franchise restaurants. Total of 308 questionnaires were distributed to the beer franchise restaurant customers of Kangnam area, Seoul. To accomplish the aim of this study, author took the following three steps. Firstly, literature review was done to find out selective attributes for restaurant and bar and market segmentation. secondly, Selective attributes of beer franchise were analyzed and five factors, -'additional service', 'side dish quality', 'service class', 'accessibility' and 'outlet image'- were extracted. Lastly, customers of beer franchise shop were divided into two groups by the selective attributes, -'simple visiting group' and 'active lover group'. Those variables-loyalty, intent to recommend and overall satisfaction- have significant influence on 'active lover group'. Other than that, other variables -demographic characteristics and customer's behavior characteristics- didn't play important role to distinct two groups. As a result, only basic information for setting up marketing strategy of each market was provided.

• Journal of the Korea Society of Computer and Information
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• v.25 no.11
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• pp.41-50
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• 2020

Sentimental analysis begins with the search for words that determine the sentimentality inherent in data. Managers can understand market sentimentality by analyzing a number of relevant sentiment words which consumers usually tend to use. In this study, we propose exploring performance of feature selection methods embedded with Particle Swarm Optimization Multi Objectives Evolutionary Algorithms. The performance of the feature selection methods was benchmarked with machine learning classifiers such as Decision Tree, Naive Bayesian Network, Support Vector Machine, Random Forest, Bagging, Random Subspace, and Rotation Forest. Our empirical results of opinion mining revealed that the number of features was significantly reduced and the performance was not hurt. In specific, the Support Vector Machine showed the highest accuracy. Random subspace produced the best AUC results.

• Information Systems Review
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• v.25 no.1
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• pp.47-73
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• 2023

Management decision-making based on artificial intelligence(AI) plays an important role in helping decision-makers. Business decision-making centered on AI is evaluated as a driving force for corporate growth. AI-based on accurate analysis techniques could support decision-makers in making high-quality decisions. This study proposes an effective decision-making method with the application of multi-label feature selection. In this regard, We present a CFS-BR (Correlation-based Feature Selection based on Binary Relevance approach) that reduces data sets in high-dimensional space. As a result of analyzing sample data and empirical data, CFS-BR can support efficient decision-making by selecting the best combination of meaningful attributes based on the Best-First algorithm. In addition, compared to the previous multi-label feature selection method, CFS-BR is useful for increasing the effectiveness of decision-making, as its accuracy is higher.

• Journal of the Korea Convergence Society
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• v.9 no.2
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• pp.191-200
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• 2018

In this study, the relationship between selective attribute and socio-maturity was found to be statistically significant in cooking major of cooking high school students. The selective attribute of cooking major influenced the affinity of members and the selective factor of cooking major was social Affecting the management of self - esteem and self - efficacy. The selection process of cooking major affects the superior adaptability of school life. The results of this study are as follows. First, the relationship between the social maturity and the satisfaction of the majors of the cooking major students was statistically significant in the hypothesis of the model, and the member relational affinity and social intimacy influenced the participation of the curriculum model And social maturity influenced social intimacy.