• Journal of Korean Home Economics Education Association
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• v.17 no.4 s.38
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• pp.133-156
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• 2005

This study clarifies the concept of the education content relevance in order to evaluate the content relevance of Technology & Home Economics in a secondary school, and design its standards based on the preceding study. In other words, four standards such as the amount of studying content, the degree of difficulty, the validity of contents and the sequence of contents are established. Also, a survey on the current status of nationwide units targeting students, teachers, and professors was conducted to collect actual data about relevance evaluation. The results are as follows. First, as for the evaluation in terms of the amount of studying content, the majority of respondents answered that it decreased by about $30\%$ when compared to the 6th Technology & Home Economics Curriculum However, middle school teachers pointed out that the number of classes is not enough considering the fact that it's an activity-oriented subject. So, they acknowledged that the amount of study time during a Technology Sl Home Economics class is 'quite a lot.' Second, the evaluation in the degree of difficulty is divided into two responses. Teachers responded that it's reasonable overall, but according to students, it's difficult. Especially, the chapters that students don't understand well including 'The Elements of Draftsmanship,"' 'Understanding of Machinery,' 'Electronics & Electricity Technology,' and 'Energy & Transportation Technology.' In the Home Economics area, 'The Design of Home Life' is the only chapter that students don't understand well. Third, as for the validity of contents, the chapters that were not considered as important considering the objective of Technology Sl Home Economics Curriculum include 'The Elements of Draftsmanship,' 'Computer & Processing,' and 'The Management of Resources and Environment.' Fourth, as for the sequence of contents, the survey was conducted including the name of the course asone of the survey items. The majority of teachers wanted it as it is, but the Professors of education colleges who wanted the 3rd name to connect the course with the elementary school course was a little more $(50.5\%)$ than the ones who don't want any changes $(45.5\%)$. The follow-up study should correct and complement the standards that this study suggested through analytic and critical review according to the character & goal of the subject. Based on such standards, the evaluation of content relevance should be continued to realize the quality control of the curriculum systematically.

• The Mathematical Education
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• v.44 no.4 s.111
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• pp.509-524
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• 2005

The purpose of this study is to investigate the current state of the contents of the mathematics education that are implemented for 3-10 grade students in Korea. To satisfy the purpose of the study, we conducted a nationwide questionnaire to get opinions from students on the relevance of the mathematics curriculum. 4,158 elementary school students, 4,571 middle school students, and 1,653 high school students participated in this survey. Many students feel that the quantity is relevant, so the requirement of reduction in quantity is a little. Also secondary students feel that mathematics is difficult and this condition becomes more serious in proportion as grade. Finally we noticed the difference between sexes, grades, and tracks of studying in every question.

• MALSORI
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• no.46
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• pp.117-126
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• 2003

This paper presents our language model adaptation for Korean spontaneous speech recognition. Korean spontaneous speech is observed various characteristics of content and style such as filled pauses, word omission, and contraction as compared with the written text corpus. Our approaches focus on improving the estimation of domain-dependent n-gram models by relevance weighting out-of-domain text data, where style is represented by n-gram based tf/sup */idf similarity. In addition to relevance weighting, we use disfluencies as Predictor to the neighboring words. The best result reduces 9.7% word error rate relatively and shows that n-gram based relevance weighting reflects style difference greatly and disfluencies are good predictor also.

• Proceedings of the KSPS conference
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• 2003.05a
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• pp.83-86
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• 2003

This paper presents our style-based language model adaptation for Korean conversational speech recognition. Korean conversational speech is observed various characteristics of content and style such as filled pauses, word omission, and contraction as compared with the written text corpora. For style-based language model adaptation, we report two approaches. Our approaches focus on improving the estimation of domain-dependent n-gram models by relevance weighting out-of-domain text data, where style is represented by n-gram based tf*idf similarity. In addition to relevance weighting, we use disfluencies as predictor to the neighboring words. The best result reduces 6.5％ word error rate absolutely and shows that n-gram based relevance weighting reflects style difference greatly and disfluencies are good predictor.

• Journal of the Institute of Electronics Engineers of Korea SP
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• v.43 no.1 s.307
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• pp.39-44
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• 2006

In this paper, search result list synthesis method is proposed using borda count method for still image retrieval based on MPEG-7 descriptors. MPEG-7 standardizes descriptors that extract feature information from media data. In many cases, using a single descriptor lacks of correctness, it is suggested to use multiple descriptors to enhance retrieval efficiency. In this paper, retrieval efficiency enhancement is achieved by combining multiple search results which are from each descriptor. In combining search result, newly calculated borda count method is proposed. Comparing current frequency compensated calculation, rank considered frequency compensation is used to score animage in database. This combining method is considered in Content based image retrieval system with relevance feedback algorithm which uses high level information from system user. In each relevance iteration step, adoptive borda count method is used to calculate score of images.

• Proceedings of the Korean Information Science Society Conference
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• 2002.04b
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• pp.238-240
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• 2002

If there is an Information Retrieval system which comprehends the semantic content of documents and knows the preference of users. the system can search the information better on the Internet, or improve the IR performance. Therefore we propose the IR model which combines semantic based indexing and fuzzy relevance model. In addition to the statistical approach, we chose the semantic approach in indexing, lexical chains, because we assume it would improve the performance of the index term extraction. Furthermore, we combined the semantic based indexing with the fuzzy model, which finds out the exact relevance of the user preference and index terms. The proposed system works as follows: First, the presented system indexes documents by the efficient index term extraction method using lexical chains. And then, if a user tends to retrieve the information from the indexed document collection, the extended IR model calculates and ranks the relevance of user query. user preference and index terms by some metrics. When we experimented each module, semantic based indexing and extended fuzzy model. it gave noticeable results. The combination of these modules is expected to improve the information retrieval performance.

• The Journal of Asian Finance, Economics and Business
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• v.7 no.10
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• pp.303-313
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• 2020

This study investigates the factors affecting Industry 4.0 adoption in the curriculum of university students in Ho Chi Minh City, Vietnam. Universities need to respond to the changing faces of Industry 4.0 and, hence, Education 4.0. A mixed method including both qualitative and quantitative methodologies was utilized. An in-depth interview was carried out for exploring, reviewing, and testing content validity of constructs and measurement items. The pilot study was conducted with 120 respondents. The conceptual model and hypotheses were developed using data collected by a questionnaire survey distributed to 584 respondents by both electronic and paper forms with non-probability and convenience sampling techniques. The result of structural equation modeling showed that occupation relevance, skills, facility conditions, and social influence impacted on the intermediates variables, namely, relevance advantage, perceived usefulness, behavioral intention-to-use, and actual use. The independent variables are occupation relevance, skills, facility conditions, and social influence. They impact actual use through mediating constructs such as relevance advantage, perceived usefulness, and behavioral intention-to-use. The findings suggest that universities and students' efforts aimed at increasing the factors' perceptions of adoption of Industry 4.0 will contribute to implementation success, where success is defined as effectual usage of Industry 4.0.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.10 no.3
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• pp.1404-1415
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• 2016

Because of the properties of software such as invisibility, complexity, and changeability, software configuration management (SCM) for software artifacts generated during software life-cycle has been used for guarantee of the quality of the software. However, the existing SCM system has only focused on code artifacts and software development document artifacts such as Software Requirements Specification (SRS), Software Design Description (SDD), and Software Test Description (STD). Moreover, software research-oriented project comes out late the code artifacts and the software development document artifacts. Therefore, there is a need for trace and management of software research document artifacts composed of highly abstracted non-functional requirements like 'the purpose of the project', 'the objectives', and 'the progress' before generation of the code artifacts and the software development document artifacts for a long time. Nevertheless, the existing SCM system cannot trace and manage them. In this paper, we propose content-based configuration management system comprised of the relevance link generation phase and content-based testing phase to trace and manage them. The preliminary application results show applicability and feasibility of the proposed system.

• Journal of The Korean Association For Science Education
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• v.37 no.4
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• pp.651-658
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• 2017

The purpose of this study is to analyze the invention-related content of foreign science curricula and investigate the perception of science educators about the degree of relevance between science curriculum and invention. For the analysis of foreign science curricula, we investigated the programs of 10 nations, including the US, Canada, UK, Japan, Australia, Singapore, New Zealand, France, Finland and China. To analyze the relevance between Korean science curriculum and invention, we examined common topics such as science, integrated science, and science inquiry experiment, and investigated that the elements related to invention education were included in each 'achievement standard' and 'teaching and evaluation methods'. Science educators including science teachers were asked to evaluate the degree of relevance of invention education. The results were as follows. First, science curricula in many countries contained invention-related content. Second, science educators recognized that invention education was related to science curriculum, but the systematic connection was insufficient. Third, because it is mainly limited to the results of designing and device design, they recognized that the relevance of invention education, which focuses on various processes such as problem design, inventive techniques and intellectual property, was not revealed. Therefore, it is necessary to be process-oriented when developing invention education teaching-learning methods and related materials in science education for the future.

• Journal of KIISE:Software and Applications
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• v.31 no.2
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• pp.126-136
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• 2004

This paper proposes a new content-based image retrieval algorithm using color-spatial information. For the purpose, the paper suggests two kinds of indexing key to prune away irrelevant images to a given query image; MCS(Main Colors' Set), which is related with color information and DBS (Distribution Block Signature), which is related with spatial information. After successively applying these filters to a database, we could get a small amount of high potential candidates that are somewhat similar to the query image. Then we would make use of new QM(Quad modeling) and relevance feedback mechanism to obtain more accurate retrieval. It would enhance the retrieval effectiveness by dynamically modulating the weights of color-spatial information. Experiments show that the proposed algorithm can apply successfully image retrieval applications.