• Journal of Computing Science and Engineering
• /
• 제6권4호
• /
• pp.243-256
• /
• 2012

In this paper we present a framework for a novel kind of context-aware preference query composition whereby queries for the Preference SQL system are created. We choose a commercial e-business platform for outdoor activities as a use case and develop a context model for this domain within our framework. The suggested model considers explicit user input, domain-specific knowledge, contextual knowledge and location-based sensor data in a comprehensive approach. Aside from the theoretical background of preferences, the optimization of preference queries and our novel generator based model we give special attention to the aspects of the implementation and the practical experiences. We provide a sketch of the implementation and summarize our user studies which have been done in a joint project with an industrial partner.

• Asian Journal of Innovation and Policy
• /
• 제5권2호
• /
• pp.185-196
• /
• 2016

A digital cable broadcasting service is a multimedia broadcasting service that provides high definition and various supplementary services by using digital transmission. Korea implemented a complete digital broadcasting service by 2012. This study applied a choice experiment to investigate consumer preferences, and it calculated the marginal willingness to pay for this service. Moreover, we employed a multinomial probit model to relax the assumption that all respondents have the same preference for attributes being valued. The results suggest that respondents value channels, definition, video-on-demand (VOD) service, pay-per-view (PPV) service, and commerce based on TV (T-commerce). On the other hand, online gaming may be less important as an attribute for digital cable broadcasting service in Korea.

• 전자공학회논문지CI
• /
• 제46권4호
• /
• pp.127-133
• /
• 2009

최근 멀티미디어 정보의 양이 빠른 속도로 증가함에 따라 비디오 자료에 대한 효율적 관리는 더욱 중요한 의미를 가지게 되었다. 특히 비디오는 대용량적인 특성과 비정형적인 특성을 가지고 있어 신속하고 효율적으로 비디오 검색을 하기 위해서는 정확한 특징 정보를 추출하여 비디오 색인 구조를 구축해야 한다. 그리고 비디오 색인 구조는 사용자의 선호도가 반영되어 관심있는 콘텐츠를 효과적으로 검색할 수 있도록 지원되어야 한다. 이를 위해 본 논문에서는 사용자 선호도를 고려한 의미기반 비디오 검색 방법을 제안한다. 기존의 방법의 사용자 선호도를 고려하지 않는 단점이 있고, 사용자의 질의에 대하여 단순히 텍스트 매칭한 결과를 보여주기 때문에 의미적 검색을 지원하지 못한다. 이러한 한계를 극복하기 위해 본 논문에서는 사용자 선호도 분석 방법을 개발하고, 의미적 검색을 위한 비디오 온톨로지 구성 방법을 제시한다. 실험 결과 사용자 선호도를 정확히 분석하고, 장면에 포함된 객체와 움직임 단위의 의미적 인덱싱 구조를 구성하므로, 기존의 방법 보다 더 나은 검색 성능을 보인다.

• 한국환경복원기술학회지
• /
• 제10권6호
• /
• pp.33-43
• /
• 2007

The revised Urban Park regulations newly adopt Theme Parks in order to enhance richness and diversities of urban services to communities. However, the regulations ambiguously define the main facilities and service programs of the theme parks. And there have been increasing concerns about confusions in terms of the main facilities and service programs of the theme parks among landscape designers/planners, local governments and relevant field of areas. Misunderstanding on the facilities and service programs of the theme parks may lead to ruin the purposes of the new urban park regulations. In the lights of these, this paper tries to reach a consensus for main facilities and service programs of two theme parks including athletic park and waterfront park, based on measured potential users' preferences with a conjoint choice model. For waterfront parks, potential users show low preferences or negative responses to facilities which are perceived as un-environment friendly. They also show high preferences on ecological areas sitting near to streams. For athletic parks, potential users show demand to introduce something different facilities and atmosphere from existing athletic parks. The demands are particularly high for children's play ground facilities and service facilities. This study also show some methodological examples to compute the carrying capacity with two hypothetical alternatives. This approach might be beneficial for local governments which are wish to alternate the park size on the basis of local conditions such as their financial conditions and land availability.

• Ocean and Polar Research
• /
• 제24권1호
• /
• pp.73-77
• /
• 2002

This study intends to find out what manmade elements in typical moderately disturbed coastal landscape are most adversely affecting its aesthetic quality. Simulation photos including a combination of five most common manmade structures (houses, roads, power lines, embankments, and aquaculture facilities) found on coastal areas were made, and thirty eight subjects in the field of landscape architecture and forty eight average subjects were asked to evaluate their visual preferences of the 32 simulation photos using seven levels of Likert scale. Overall, average and professional subjects did not show significant differences in their evaluations. Visual preferences were greatly influenced by the presence of the manmade structures. A natural coastal landscape without any manmade structures was most preferable, and a disturbed coastal landscape by all five manmade structures was least preferable. Power lines had the most serious negative impact on the landscape, and followed by the embankment. In coastal landscape restoration works and management, priority needs to be given to these manmade structures which have bigger negative landscape impacts.

• 식품보건융합연구
• /
• 제9권4호
• /
• pp.19-23
• /
• 2023

The integration of ChatGPT, an AI-powered language model, is causing a profound transformation within the food industry, impacting various domains. It offers novel capabilities in recipe creation, personalized dining, menu development, food safety, customer service, and culinary education. ChatGPT's vast culinary dataset analysis aids chefs in pushing flavor boundaries through innovative ingredient combinations. Its personalization potential caters to dietary preferences and cultural nuances, democratizing culinary knowledge. It functions as a virtual mentor, empowering enthusiasts to experiment creatively. For personalized dining, ChatGPT's language understanding enables customer interaction, dish recommendations based on preferences. In menu development, data-driven insights identify culinary trends, guiding chefs in crafting menus aligned with evolving tastes. It suggests inventive ingredient pairings, fostering innovation and inclusivity. AI-driven data analysis contributes to quality control, ensuring consistent taste and texture. Food writing and marketing benefit from ChatGPT's content generation, adapting to diverse strategies and consumer preferences. AI-powered chatbots revolutionize customer service, improving ordering experiences, and post-purchase engagement. In culinary education, ChatGPT acts as a virtual mentor, guiding learners through techniques and history. In food safety, data analysis prevents contamination and ensures compliance. Overall, ChatGPT reshapes the industry by uniting AI's analytics with culinary expertise, enhancing innovation, inclusivity, and efficiency in gastronomy.

• 한국식품과학회지
• /
• 제43권1호
• /
• pp.23-29
• /
• 2011

서울시내 거주의 20대에서 40대 남녀 104명을 대상으로 시판 약주 10종에 대해 브랜드 친밀도를 조사하고, 브랜드정보 비노출 및 노출시의 소비자 기호도와 구매의사 정도를 파악하였다. 브랜드 친밀도 조사에서는 'baekse' 제품이 가장 높은 브랜드 친밀도를 나타내었고 다음으로 'cheongo', 'chrys', 'sooguk' 제품이 60% 이상이 "들어본 적 있다" 이상으로 응답하여 중간 정도의 인지도를 나타냈다. 그 외의 제품은 인지도가 매우 낮은 것으로 나타났다. 제품의 브랜드와 제조사 정보가 제공된 상태에서 평가가 이루어질 경우 전반적으로 브랜드 친밀도가 높은 제품에서 유의적인 점수 상승으로 나타났다. 브랜드 인지도가 낮은 제품의 경우 브랜드 노출여부가 평가에 영향을 미치지 않았다. 또한 전반적인 약주제품의 기호도가 낮게 나타난 점을 감안하여 향후 약주 관련 제품의 기호도 제고를 위한 제품 최적화 연구 및 브랜드 인지도 개선이 필요한 것으로 여겨진다.

• Journal of Information Processing Systems
• /
• 제12권3호
• /
• pp.455-467
• /
• 2016

This paper presents the constituent-based approach for aligning bilingual multiword expressions, such as noun phrases, by considering the relationship not only between source expressions and their target translation equivalents but also between the expressions and constituents of the target equivalents. We only considered the compositional preferences of multiword expressions and not their idiomatic usages because our multiword identification method focuses on their collocational or compositional preferences. In our experimental results, the constituent-based approach showed much better performances than the general method for extracting bilingual multiword expressions. For our future work, we will examine the scoring method of the constituent-based approach in regards to having the best performance. Moreover, we will extend target entries in the evaluation dictionaries by considering their synonyms.

• International Journal of Knowledge Content Development & Technology
• /
• 제7권1호
• /
• pp.5-22
• /
• 2017

This study discusses the library professionals' perception of the ICT Applications in engineering college libraries in Tamil Nadu. The relevant data was collected from the library professionals in the self financing engineering colleges situated in Kanchipuram and Thiruvallur district of Tamil Nadu. 625 questionnaires were distributed, 504 replied with a response rate of 80.64%. It was found that the respondents with experience 'Below 5 years'gave 'Lack of infrastructure' as the first priority. 'Lack of interest on the part of users' and 'No support from administration in training library professionals' were the second and third preferences indicated by the respondents. The least preferences were given for 'Fear of ICT application'. Similarly, respondents with experience '6-10 years' indicated 'No support from administration in training library professionals' as the first priority. The least preference was given for 'Inadequate training in ICT applications' by the above respondents. It can be inferred that the professionals accepted and need the training in ICT applications.

• 정보기술과데이타베이스저널
• /
• 제7권1호
• /
• pp.42-53
• /
• 2000

The major goal of this research is to develop an optimal route search algorithm for an intelligent route guidance system, one sub-area of ITS. ITS stands for intelligent Transportation System. ITS offers a fundamental solution to various issues concerning transportation and it will eventually help comfortable and swift moves of drivers by receiving and transmitting information on humans, roads and automobiles. Genetic algorithm, and fuzzy logic are utilized in order to implement the proposed algorithm. Using genetic algorithm, the proposed algorithm searches shortest routes in terms of travel time in consideration of stochastic traffic volume, diverse turn constraints, etc. Then using fuzzy logic, it selects driver-preference optimal route among the candidate routes searched by GA, taking into account various driver's preferences such as difficulty degree of driving and surrounding scenery of road, etc. In order to evaluate this algorithm, a virtual road-traffic network DB with various road attributes is simulated, where the suggested algorithm promptly produces the best route for a driver with reference to his or her preferences.