• KIISE Transactions on Computing Practices
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• v.21 no.5
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• pp.365-372
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• 2015

Augmentative and Alternative Communication(AAC) is the widespread supporting plan to solve the communication problem of the people with communication disorder. AAC means various types of non-verbal communication methods that are used to augment or substitute the communications of using speech. With the increasing number of potential Korean AAC users, the demands for AAC are also increasing. In spite of the increasing demands, AAC is not being actively and practically used. In this paper, we implemented a web-based AAC board making system, where the board-makers (special educators and speech therapists) can create and share the customized boards to help the board-users (people with communication disorder). The web-based AAC board making system contributes to the application of AAC in many societies, such as hospitals, schools, companies, or anywhere the AAC intervention is needed.

• Proceedings of the Technology Innovation Conference
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• 2005.02a
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• pp.200-219
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• 2005

현재 홈네트워킹의 솔루션으로 제기되고 있는 것은 이더넷(Ethernet), 전화선(Phone line), 전력선(PLC), 무선랜(Wireless LAN), 블루투스(Blue tooth) 등 다양하다. 그러나 국내 홈네트워킹 시장과 기술의 진행 방향 및 잠재 시장 전망에 대한연구가 부족한 현실에서 시장 참여자들의 불 확실성은 높을 수 밖에 없다. 이에 어떤 기술이 홈네트워킹 시장을 주도할 지를 전망하는 것이 무엇보다 시급한 과제가 되고 있다. 따라서 본 연구에서는 홈네트워킹 유선 전송 기술분야에서 유력한 규격으로 예상되는 PLC를 중심으로 홈네트워킹의 수요를 예측하고자 한다. 홈네트워킹 시장은 홈네트워킹 장치들이 Built-in 형태로 보급되는 신규주택과 소비자의 선택에 의해 홈네트워킹 장치들이 설치되는 기존 주택 시장으로 나누어 질 수 있다. 본 연구에서는 기존 주택 시장을 대상으로 컨조인트 방법을 통한 소비자의 선호 구조를 홈네트워킹을 구현시키는 각 기술에 대한 (기술)로드맵과 결합하여 동적인 소비자의 선택을 관찰함으로써 각 기술이 확산되는 과정을 살펴볼 것이다. 추가적으로 PLC의 기술적 특징들을 가상적으로 변화시켜가면서 다른 기술과의 경쟁관계를 살펴봄으로써 PLC의 기술개발 전략에 시사점을 도출할 것이다. 본 연구를 통해 홈네트워킹의 관련 실무자에게는 향후 홈네트워킹 시장 진입이나 제품 개발, 기술 협력 제휴시 유용한 자료가 될 것으로 보인다. 또한 정부의 정책담당자들에게는 홈네트워킹 확산의 장애요인 해소를 위한 정책 가이드라인을 제공할 수 있을 것으로 기대하고 있다.

• Journal of Intelligence and Information Systems
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• v.23 no.3
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• pp.155-175
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• 2017

As social data become into the spotlight, mainstream web search engines provide data indicate how many people searched specific keyword: Web Search Traffic data. Web search traffic information is collection of each crowd that search for specific keyword. In a various area, web search traffic can be used as one of useful variables that represent the attention of common users on specific interests. A lot of studies uses web search traffic data to nowcast or forecast social phenomenon such as epidemic prediction, consumer pattern analysis, product life cycle, financial invest modeling and so on. Also web search traffic data have begun to be applied to predict tourist inbound. Proper demand prediction is needed because tourism is high value-added industry as increasing employment and foreign exchange. Among those tourists, especially Chinese tourists: Youke is continuously growing nowadays, Youke has been largest tourist inbound of Korea tourism for many years and tourism profits per one Youke as well. It is important that research into proper demand prediction approaches of Youke in both public and private sector. Accurate tourism demands prediction is important to efficient decision making in a limited resource. This study suggests improved model that reflects latest issue of society by presented the attention from group of individual. Trip abroad is generally high-involvement activity so that potential tourists likely deep into searching for information about their own trip. Web search traffic data presents tourists' attention in the process of preparation their journey instantaneous and dynamic way. So that this study attempted select key words that potential Chinese tourists likely searched out internet. Baidu-Chinese biggest web search engine that share over 80%- provides users with accessing to web search traffic data. Qualitative interview with potential tourists helps us to understand the information search behavior before a trip and identify the keywords for this study. Selected key words of web search traffic are categorized by how much directly related to "Korean Tourism" in a three levels. Classifying categories helps to find out which keyword can explain Youke inbound demands from close one to far one as distance of category. Web search traffic data of each key words gathered by web crawler developed to crawling web search data onto Baidu Index. Using automatically gathered variable data, linear model is designed by multiple regression analysis for suitable for operational application of decision and policy making because of easiness to explanation about variables' effective relationship. After regression linear models have composed, comparing with model composed traditional variables and model additional input web search traffic data variables to traditional model has conducted by significance and R squared. after comparing performance of models, final model is composed. Final regression model has improved explanation and advantage of real-time immediacy and convenience than traditional model. Furthermore, this study demonstrates system intuitively visualized to general use -Youke Mining solution has several functions of tourist decision making including embed final regression model. Youke Mining solution has algorithm based on data science and well-designed simple interface. In the end this research suggests three significant meanings on theoretical, practical and political aspects. Theoretically, Youke Mining system and the model in this research are the first step on the Youke inbound prediction using interactive and instant variable: web search traffic information represents tourists' attention while prepare their trip. Baidu web search traffic data has more than 80% of web search engine market. Practically, Baidu data could represent attention of the potential tourists who prepare their own tour as real-time. Finally, in political way, designed Chinese tourist demands prediction model based on web search traffic can be used to tourism decision making for efficient managing of resource and optimizing opportunity for successful policy.

• The Journal of the Korea Contents Association
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• v.15 no.8
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• pp.209-217
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• 2015

Main purpose of this study is to investigate the effect of the self core evaluation of local public officials on the customer-oriented public service provision. Structural Equation Model was applied to analyze the relationship between self core evaluation and customer oriented public service attitude. From theoretic point, establishing the relationship between psychological concept(self core evaluation) and attitude is contribution to existing literature in this area. Positive structural relationships between self core evaluation and customer-oriented attitude was confirmed from empirical analysis. While variable job engagement took intermediating role between self core evaluation and customer-oriented attitude. The result implies that organizational psychological approach might be a more effective policy measure to improve citizen's satisfaction for public services. For a extended periods, Korean government introduced various institutional arrangements to improve the customer satisfaction for public service. Hoever, the result was not satisfactory. The result of this study suggest psychological approach to improve public service customer satisfaction.

• Journal of Service Research and Studies
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• v.8 no.4
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• pp.53-75
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• 2018

Bicycle-sharing as a product service system in the sharing economy, its characteristic is that users can go to nearby places by the public bike at any time however they don't need to have their own bicycle. However, the service quality of bicycle-sharing and satisfaction of users continuously decrease with the rapid growth number of bicycle-sharing users in China. Based on the double diamond model and from the perspective of service design, this research studies the service experience of bicycle-sharing of Chinese users, focuses on the potential pain points of Chinese users when using the public bike, and designs the optimum proposal to promote users' satisfaction. According to the research result, the research builds a new concept which can satisfy users' demand for communication, enjoyment and option during the cycling. The experience of new service system of bicycle-sharing makes humanized and subconscious interaction possible.

• Journal of the Korean housing association
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• v.26 no.6
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• pp.181-190
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• 2015

This study emphasizes a new senior housing type which can provide individual housing units and common facilities for retirees, particularly who will be retired from universities. It is called a university-based retirement community. This study conducted a questionnaire survey to investigate future residents' needs for architectural environments that included housing types, common facility features, and proximity, and also development methods in response to the university involvement levels. The survey questionnaire was administered in one national university in Korea. A total of 214 responses were valid for statistical analyses. Major findings are as follows: Over 65% of the respondents were willing to live in the university-based retirement community. Regarding the location of the community, they responded the community would not need to be located on campus. Preferred common facilities in the UBRC were indoor fitness centers, the shuttle bus stops connecting to the adjacent areas, and bath and sauna facilities. The respondents emphasized university's contribution toward offering educational programs for UBRC residents. Lastly, their responses to the university role and involvement in the development and construction process were identified. This study results are expected to provide essential information for facilitating the Korean model of university-based retirement communities in the future.

• Journal of Arbitration Studies
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• v.31 no.1
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• pp.155-171
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• 2021

Recently, the e-business market has become a place of convergence where consumers and suppliers communicate with each other, and a new method of trading of funds has emerged in the process. Crowd-funding is one of the types of money transactions that have emerged in the online space, and its interest and trading volume have been growing rapidly recently. The platform in the online space using crowd-funding method operates in the form of online telecommunication sales, and it is in the form of producing and delivering products based on funds obtained from potential consumers by the operators involved in securing funds. However, if the participating business operators do not deliver the product or deliver the product other than the promoted product and avoid responsibility, the potential demander will not be compensated without mediation by the platform operating entity. In this study, despite the rapid growth in the market size of crowd-funding, consumers who participated in the funding are protected and able to resolve disputes in the event of a conflict amid growing complaints from potential consumers and side effects. The structure or method of crowd-funding is a new form of trading that has different features from conventional e-commerce. Therefore, the legal basis is not yet in place and the standards need to be laid out through various and sufficient discussions politically, legally, socially and culturally and economically. As the potential market and positive effects of crowd-funding around the world have been recognized, a role is required as an ecosystem for new financial transactions. And the potential market could be realized as a new industry if the right legal system and policy consultation were made.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.9 no.1
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• pp.25-32
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• 2014

Action learning takes advantage of innovative management tool but not more to small business than five employees. It is difficult to utilize to them. As a case to solve this problem, this study investigates GNTECH(Gyeongnam National University of Science and Technology)'entrepreneurship training and consulting convergence program. This program is applied to the development and operation of the start-up entrepreneur. Project participants are three groups those are graduate students, undergraduate students and professor. Professor has a role as facilitater. This case has the following meanings. First, by participating in entrepreneurship courses, undergraduate students experience entrepreneurship and mindset can be expected. Second, the start-up entrepreneur has the opportunity to directly verify the item. The consumer's perspective is the use of collective intelligence through team activities carried out in the process. Third, students of graduate and undergraduate has a chance learning facilitator function from professor. The results of this study provide conjunction between university educational programs based on entrepreneurship.

• Journal of Digital Convergence
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• v.12 no.3
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• pp.141-147
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• 2014

Diffusion model is popular research topic in marketing and economy particularly for the areas of model specification and market size forecasting. In particular, Bass model can explain Roger's innovation diffusion and product life cycle through easy mathematical representation and hence the model has been widely used for the explanation of adopting innovative new products and technologies. Nonetheless, there're only a couple of pioneering researches about semiconductor market, using diffusion models. Consequently, we'd utilise NLS approach diffusion model to estimate the market potential of MOSFET, major switching device for power management of system, and explain the process to industry stakeholders and policy makers for delivery of managerial implication with pragmatic purpose.

• The Journal of the Korea Contents Association
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• v.11 no.5
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• pp.104-116
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• 2011

A recommender system is a personalized decision support tool to suggest suitable products in proper manners for the benefits of both suppliers and consumers, with the assumption of full understating of consumers' needs and preferences. However, a substantial number of studies have focused on making recommender systems more accurate and efficient. Whereas, there have been a few studies on consumers' needs and preferences under their own contexts to accept recommender systems. To this end, this study attempted to find out the impact of personal sentiments and contexts on the willingness to accept music recommender systems based on the simplified "Technology Acceptance Model" and some verified variables from the precedent studies. For the study, we conducted an empirical study using surveys and High-Order Structural Equation Model (SEM). The outcomes of the research was affirmative to the research hypothesis that the personal sentiments and contexts positively affect the acceptance of the music recommender systems.