• Proceedings of the Korea Contents Association Conference
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• 2009.05a
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• pp.1036-1040
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• 2009

Totem culture is a basic culture in all countries. A totem is any supposed entity that watches over or assists a group of people,such as a family,clan,or tribe.(Merriam-Webster Online Dictionary and Webster's New World College Dictionary, Fourth Edition).Totems support larger groups than an individual person. In kinship and descent,if the apical ancestor of a clan is nonhuman,it is called a totem. Normally this belief is accompanied by a totemic myth. And for the ages past,many totems for family. clan and tribe merged in one or two which comes to be a totem culture. We can know many things from the totem of our Ancestors.

• Korean Journal of Plant Taxonomy
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• v.41 no.3
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• pp.246-248
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• 2011

Triadenum breviflorum (Wallich ex Dyer) Y. Kimura in Nakai & Honda (Hypericaceae), previously known only in northeast India, China and Taiwan, was found in a few wetlands of Jeju Island in 2008. Additionally, some images online of T. breviflorum suggest that it exists in other places on the Korean peninsula but that it has been misidentified as Triadenum japonicum. This species is distinguished from the latter by white petals, inflorescence from nodes 6-11, linear to narrowly elliptic leaves, and an attenuated base. The local name Huin-kkot-mul-go-chu-na-mul implies a white flower rather than the flesh-pink color of T. japonicum. The morphological characteristics of the species are provided with photographs of the habitat.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.9 no.8
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• pp.3169-3181
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• 2015

Nowadays, online word-of-mouth has become a powerful influencer to marketing and sales in business. Opinion mining and sentiment analysis is frequently adopted at market research and business analytics field for analyzing word-of-mouth content. However, there still remain several challengeable areas for 1) sentiment analysis aiming for Korean word-of-mouth content in film market, 2) availability of machine learning models only using linguistic features, 3) effect of the size of the feature set. This study took a sample of 10,000 movie reviews which had posted extremely negative/positive rating in a movie portal site, and conducted sentiment analysis with four machine learning algorithms: naïve Bayesian, decision tree, neural network, and support vector machines. We found neural network and support vector machine produced better accuracy than naïve Bayesian and decision tree on every size of the feature set. Besides, the performance of them was boosting with increasing of the feature set size.

• 한국IT서비스학회:학술대회논문집
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• 2003.05a
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• pp.399-407
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• 2003

인터넷을 이용한 거래가 활발해지면서 개인 정보 누출, 사기 피해 등 이와 관련한 문제점들도 크게 증가하고 있다. 이러한 문제를 예방하기 위한 연구와 연구 결과의 활용이 활발한 가운데 특정 거래에 참여하는 거래 당사자에 대한 신뢰도를 측정하는 방법도 거래 위험도를 줄이는 방안의 하나로 연구되고 있다. 특히, 다수의 판매자와 구매자가 동시에 수 많은 거래에 참여하게 되는 온라인 경매의 경우 거래에 참여하는 거래 상대방에 대한 신뢰도를 측정하고 이를 제공함으로써 경매와 관련한 사기 거래의 위험성을 어느 정도 줄일 수 있게 된다. 본 연구에서는 온라인 경매 시스템에서 활용할 수 있는 퍼지 기반의 신뢰 측정 시스템의 기본 구조를 설계하고 그 작동 원리를 소개하고자 한다. 이를 위해 인맥형 커뮤니티 시스템으로부터 새로운 신뢰 측정 변수들을 도입하게 되며 이러한 신뢰 변수를 이용한 신뢰도 측정 과정을 자세히 소개한다.

• Journal of Korean Institute of Industrial Engineers
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• v.23 no.2
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• pp.249-260
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• 1997

The manufacturing environment is rife with nonlinear processes. In this context, an intelligent production controller should be able to predict the dynamic behavior of various subsystems as they react to transient environmental conditions, the varying internal condition of the manufacturing plant, and the changing demands of the production schedule. This level of adaptive capability may be achieved through a coherent methodology for a learning coordinator to predict nonlinear and stochastic processes. The system is to serve as a real time, online supervisor for routine activities as well as exceptional conditions such as damage, failure, or other anomalies. The complexity inherent in a learning coordinator can be managed by a modular architecture incorporating case based reasoning. In the interest of concreteness, the concepts are presented through a case study involving a knowledge based robotic system.

• International Journal of Advanced Culture Technology
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• v.10 no.1
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• pp.42-46
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• 2022

To cultivate talented people with creative and convergent thinking skills to live in the era of the 4th industrial revolution, the national curriculum of Korea is gradually emphasizing convergence education and software education. To meet the demands of the times, this paper suggests subject-convergent teaching-learning materials for educating core principles of Support Vector Machines, especially targeting elementary learners. Based on analysis of the national curriculum, achievement standards of three subjects are integrated. After printable worksheets for traditional face-to-face classes had developed, they were transformed to online interactive worksheets for non-face-to-face classes. The teaching-learning materials are expected to promote the growth of the learners' academic motivation and knowledge.

• Proceedings of the Korea Information Processing Society Conference
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• 2021.05a
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• pp.227-230
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• 2021

본 연구는 코로나19 바이러스로 인해 대학에서 비대면 온라인 학습 환경이 일반화된 상황에서 학습자 만족과 사용 의도 형성에 영향을 미치는 요인을 도출하고 이들 요인 간에 존재하는 구조적인 관계성을 실증적으로 검정해 보기 위한 것이다. 이를 통해 비대면 온라인 학습에 대한 학습자 만족과 사용 의도에 영향을 미치는 주요 변인들간의 관계를 종합적으로 규명함으로써 대학교육의 효과성을 높이는데 기여할 것으로 생각한다.

• Journal of the Korean Society of Costume
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• v.56 no.2 s.101
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• pp.83-100
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• 2006

As online fashion businesses achieve rapid growth in the last few years, they gather various kinds of customer information through customer registration procedures and expect to utilize this information for CRM programs. The purpose of this study were to understand the current practices of customer information management of online fashion companies and to discuss how to improve it for the benefit of both customers and fashion businesses. This study included three steps of empirical data collection process: First, online fashion companies were visited and content analyzed at three time periods-2002, 2003, and 2004. Second, a questionnaire was developed and surveyed with 488 customers. And third, interviews with two groups were conducted, one with customers who experienced customer registration with online fashion companies and the other with experts of web developing. Through customer registration procedures, personal and contact information such as name, citizen registration number(social security number), home address, home telephone number, and cellular phone number were most frequently required. Customers were asked to provide more specific information regarding their privacy, online behavior, and taste recently. The variety of information category in 2004 observation was larger than 2002, but the amount of required information from each company got smaller. Customers tended to provide some false infor- mation, and the most frequently cited reason for that was 'too much hassle' and 'no practical benefit from information provision'. Customers were concerned with the exposure of personal information such as citizen registration number. The ideal number of pieces of information required was identified as 3 to 5 including name, phone number, and address. The paper was concluded with the discussion of customer information management from CRM perspective, CRM program, information analysis methods, and security.

• Journal of the Korean Society of Food Culture
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• v.39 no.1
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• pp.38-52
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• 2024

This study investigated relationships between personality types and job satisfaction, and performance among school food service dietitians. An online survey was conducted on 200 school dietitians from March 1 to 31, 2022. Of the personality type factors, extraversion, openness, agreeableness, and conscientiousness were positively correlated with job satisfaction, whereas neuroticism was negatively correlated. Extraversion, openness, agreeableness, and conscientiousness were positively correlated with job performance, whereas neuroticism was negatively correlated. Regression analysis conducted to determine the effects of personality types on job satisfaction revealed conscientiousness predicted satisfaction with items of the job, agreeableness predicted satisfaction with supervisor's supervision, and extraversion predicted satisfaction with colleagues. On the other hand, neuroticism was a negative predictor of satisfaction with the job, supervisor's supervision, colleagues, and work environment items. Analysis of the effects of personality types on job performance established that openness was a positive predictor of satisfaction with roles of the organization and team, and of conscientiousness for the job, innovator, and organizational roles. In contrast, neuroticism negatively predicted satisfaction with job role items. Further studies are required to explore these relationships more closely by incorporating other major factors related to personality characteristics, job satisfaction, and job performance of dietitians working in various fields.

• Journal of Korea Game Society
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• v.11 no.6
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• pp.127-138
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• 2011

The creation and interchange of information through the Internet network forms online community and makes Social Network Game (SNG) as a new entertainment by grafting it onto the most popular online games. SNG means the service which amalgamates social network service (e.g., Facebook, Twitter, etc) strong points and the fun of online game. It promotes the intimacy of relation between the friends above social network service and the gaming amusement for users. The domestic SNG market is currently fast changing according to the smart environment which is quickly shifted. The existing online game field will continuously maintain a market size. SNOG will be more developed because it is competitive from the business perspective of managing cost and production cost when compares with the existing online game. In relation to Facebook, Twitter, etc. overseas SNS platform base SNOG service, the domestic competition for launching SNG is expected to heat up as NHN, Daum and SK Communication introduce open type SNS. This study examines the successful factors and strategy for domestic SNOG by studying the case of MapleStory Adventures successful possibility. The possible successful factors are combing SNS on the existing popular online game, marketing through the existing users, and solving the platform problem of a failure factor of NexonStar. This case study is expected to contribute to the domestic SNOG industry development by providing several implications for the successful factors and strategy of SNOG which will be continuously developed.