• 한국멀티미디어학회논문지
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• 제13권10호
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• pp.1436-1443
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• 2010

어휘 인식 시스템에서는 처리되는 어휘가 나타나지 않는 미 출현 트라이 폰이 존재하는 단점이 있으며 이에 따른 신뢰도의 분포를 가지고 있지 않기 때문에 정규화를 수행할 수 없다. 따라서 이를 개선하기 위하여 미등록어 거절 알고리즘에서 사용되는 어휘 관리를 최적화하고 음소 단위로 데이터 탐색을 지원하는 VCOR 시스템을 제안한다. 또한 VCOR에서는 어휘 정보를 효율적으로 제공하기 위해 확장 facet 분류를 이용하여 사용자에게 어휘 단위의 정보를 제공하고, 어휘에 대한 향상된 추적 관리 가능을 제공하여 어휘에 대한 인식의 정확성을 제공한다. 본 논문에서 제안한 시스템을 적용한 결과 시스템 성능에서 어휘 종속 인식률은 97.56%, 어휘 독립 인식률은 96.23%의 인식률을 나타내었다.

• 한국멀티미디어학회논문지
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• 제19권2호
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• pp.344-351
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• 2016

Recently, mobile application for english vocabulary learning is being developed actively. However, most mobile English vocabulary learning applications did not effectively connected with the technical advantages of mobile learning. Also,the study of mobile english vocabulary learning app are still insufficient. Therefore, this paper development a english vocabulary context-learning Agent that can practice context learning more reasonably using a location-based service, a character recognition technology and augmented reality technology based on smart phones. In order to evaluate the performance of the proposed agent, we have measured the precision and usability. As results of experiments, the precision of learning vocabulary is 89% and 'Match between system and the real world', 'User control and freedom', 'Recognition rather than recall', 'Aesthetic and minimalist design' appeared to be respectively 3.91, 3.80, 3.85, 4.01 in evaluation of usability. It were obtained significant results.

• 교육시설 논문지
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• 제21권1호
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• pp.33-42
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• 2014

The purpose of this study is to suggest a basis for exterior space improving in university campus in terms of upgrading the quality of university education environment by analysing user's cognition and physical feature about campus exterior space. For this, this study was survey six major university students in Busan city about perception of campus exterior space, and analyzes the user's cognition by using natural-language vocabulary analysis for qualitative approach. Next, this study analyzes the physical feature of campus exterior space by investigating user's intensive using spaces and preferred, non-preferred spaces in their universities, then propose the improved direction of campus exterior space by comparing the analyzed data of user's cognition and physical feature. A SPSS20 program is used for the data analysis and the sample sizes are 171 college students.

• International Journal of Advanced Culture Technology
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• 제9권4호
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• pp.118-125
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• 2021

This study's purpose is to examine the effects of mobile apps on learners' vocabulary acquisition and to analyze students' perceptions and opinions about the vocabulary app. To this end, this study set up a control group, which was given explicit instructions in the classroom by the instructor and an experimental group, which used a vocabulary app. The vocabulary acquisition test results suggested that the difference between the the two groups was insignificant. However, user satisfaction with regard to the mobile app was high, and the reasons given were the following: convenience, efficiency of memorizing, having fun while learning, and the app's interface. Based on these results, this study suggests that teachers should use mobile apps much more actively in classroom instruction, and encourge students to let apps play a more active role in their language studies.

• 정보관리연구
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• 제26권2호
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• pp.61-79
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• 1995

정보검색의 성공여부는 적절한 검색어의 선정에 달려있다고 해도 과언이 아니다. 특히 CD-ROM이나 온라인목록시스템에서 주제검색시 분류표, 주제명과 같은 통제어와 자연어 등 비통제어의 비교 우위 문제는 아직도 논란이 되고 있다. 본고는 두 시스템의 검색효율성을 비교하기 위하여 특히 다언어 환경하에서의 검색어 사용에 중점을 두고 다양한 형태의 검색어휘를 조사 분석하였다.

• 통합자연과학논문집
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• 제11권3호
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• pp.131-138
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• 2018

In this paper, we have implemented speeches that utilized the emotion information of the user's speech and image matching and recommendation system. To classify the user's emotional information of speech, the emotional information of speech about the user's speech is extracted and classified using the PLP algorithm. After classification, an emotional DB of speech is constructed. Moreover, emotional color and emotional vocabulary through factor analysis are matched to one space in order to classify emotional information of image. And a standardized image recommendation system based on the matching of each keyword with the BM-GA algorithm for the data of the emotional information of speech and emotional information of image according to the more appropriate emotional information of speech of the user. As a result of the performance evaluation, recognition rate of standardized vocabulary in four stages according to speech was 80.48% on average and system user satisfaction was 82.4%. Therefore, it is expected that the classification of images according to the user's speech information will be helpful for the study of emotional exchange between the user and the computer.

• 품질경영학회지
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• 제48권3호
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• pp.409-420
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• 2020

Purpose: The purpose of this study is to develop a measurement scale for evaluating the auditory affect of automobile engine sounds. Methods: In order to collect affective vocabulary, literature review, user tests, and expert interviews were conducted. Affective vocabulary related to automobile engine sounds was selected through three methods. To develop the evaluation scale, open/close card-sorting and expert interview-based survey method was used. Results: The results of this study are as follows; In order to select the main affective vocabulary from the collected vocabulary, 39 vocabularies with a frequency of 5 or higher were selected as vocabulary expressing the main auditory affect of automobile engine sounds. Each affective vocabulary is divided into three di- mensions, it was confirmed that the conceptual model for the auditory affect of automobile engine sounds is composed of three levels: intuitive, descriptive, and evaluative of hierarchical structure. As a result of the study, four indices of intuitive dimension, seven indices of descriptive dimension, and one index of evaluative dimension were derived from the evaluation scale of the auditory affect in an automobile engine sound. Conclusion: The auditory evaluation scale developed in this study can be used to systematically measure and evaluate the auditory affect of automobile engine sounds.

• 한국도서관정보학회지
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• 제25권
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• pp.83-107
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• 1996

The purpose of this study is to experiment online public access catalog enhancements to improve its subject access capability. Three catalog databases, enhanced with title keywords, controlled vocabulary, and content words with controlled vocabulary respectively, were implemented. 18 searchers performed 2 subject searshes against 3 different catalog databases. And the transaction logs are analyzed. The results of the study can be summarized as follows : Controlled vocabulary catalog database achieved 41.8% recall ratio in average ; the addition of table of contents words to the controlled vocabulary is an effective technique with increasing recall ration upto 55% without decreasing precision ; and the database enhanced with title keywords shows 31.7% recall ratio in average. Of the three kinds of catalog databases, only the catalog with contents words produced 2 unique relevant documents. The results indicate that both user training and system development is required to have better search performance in online public access catalog.

• 방송공학회논문지
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• 제21권4호
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• pp.569-577
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• 2016

위치 기반 서비스(LBS; Location Based Service)를 위한 장소 인식 기술은 사용자 중심의 서비스를 위한 중요 기술 중 하나이다. 이미지 특징을 이용한 장소 인식 방법 중에서 FLANN(Fast Library for performing Approximate Nearest Neighbor)의 이미지 어휘 트리를 이용하면 처리 속도가 빠르지만 가려짐 등으로 인해 인식의 정확도가 높지 않다. 본 논문에서는 SURF(Speeded Up Robust Features)를 사용한 쿼드(quad) 어휘 트리 기반의 장소 인식 방법을 제안한다. 학습 단계에서 데이터베이스 이미지를 세 단계의 공간 피라미드로 표현하고 각 영역에 대한 어휘 트리를 구성한다. 질의 이미지도 세 단계의 공간 피라미드로 표현하고 각 단계별로 어휘 트리 기반 인식을 수행한다. 또한 매칭된 특징 간의 호모그래피(homography) 관계를 측정하고 이를 만족하는 영역의 개수를 고려함으로써 최종 인식의 성능을 향상시켰다.

• 대한가정학회지
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• 제44권4호
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• pp.133-144
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• 2006

The contemporary period is called "the age of sensibility" in which each individual consumer seeks to have her or his own products. Businesses are in need of design developments with an emphasis on customer sensitivity, and at the same time consumers must understand their own sensitivity to acquire information on designs that suit them. This research established a sensitivity and configuration database on designing men's jackets using the sensitivity engineering approach to clothing design information. The user interface was created on the Internet. Sixty-seven sensitivity terms of vocabulary appropriate for the assessment of men's jacket design were selected, and the different designs were classified into six items and 24 categories. Thirty men's jackets with different designs were produced for sensory testing and the results were analyzed in accordance with general linear I statistics. A sensitivity database was established for each category. My-sql, PHP, Java Script, and Html were used for the configuration database work. The configuration of items/categories, with the most appropriate sensitivity database information assigned to the selected sensitivity vocabulary, was programmed for display on the computer screen. The sensitivity vocabulary of a customer's choice for each factor was selected for the program to run, while the category and product configuration of the men's jacket most suitable for the search was displayed based on the user interface.