• International Journal of Knowledge Content Development & Technology
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• v.8 no.2
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• pp.49-65
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• 2018

Are the benefits derived from ICT based reference and information service worth the financial and other commitments devoted to it? In an attempt to answer this, this study delved into finding out the perceived benefits; the rational for ICT based reference services in Nigerian university libraries. The main objectives were to find out the purposes for using ICT facilities in reference services delivery and the perceived benefits derived from using ICT resources in reference and information services. Being a survey, questionnaire was used to collect data from the librarians of twelve (12) universities; two (2) each sampled from the six geopolitical zones of Nigeria. Data was analyzed using frequencies, mean scores and standard deviations. ANOVA statistical analysis was used to test the hypothesis of no significance difference in the benefits derived from ICT based reference services using p-value of 0.05 to calculate the level of significance. Findings showed that librarians and library users made use of ICT facilities for different reference purposes especially to obtain information they need using the internet. Other reference needs for which patrons used the ICT facilities included: - access to current e-books and e - journals, user education and access to global information in other libraries. Provision of current awareness services (CAS) and selective dissemination of information services (SDI), on-line searching using workstations in the library, provision of on-line public access catalogue (OPAC) services, keeping statistics of users of the reference section and compilation of bibliographies. Further findings showed that the librarians and library users derive a lot of benefits from their use of ICT facilities in reference services. The results showed that easy retrieval and dissemination of information to patrons were ranked highest by the librarians amongst others.

• Proceedings of the Korea Contents Association Conference
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• 2008.05a
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• pp.24-27
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• 2008

As shown in Wikipedia, tagging or cross-linking through major key-words improves the readability of documents. Recently, the Semantic Web rises the importance of social tagging as a key feature of the Web 2.0 and Tag Cloud has emerged as its crucial phenotype. In this paper we provides an efficient method of automated keyword tagging based on controlled term collection, where the computational complexity of O(mN) - if pattern matching algorithm is used - can be reduced to O(mlogN) - if Information Retrieval is adopted - while m is the length of target document and N is the total number of candidate terms to be tagged. The result shows that IR-based tagging speeds up 5.6 times compared with fast pattern matching algorithm.

• Journal of KIISE:Software and Applications
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• v.27 no.4
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• pp.402-411
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• 2000

It is an important step in video indexing and retrieval to detect shot boundaries on video data. Some approaches are proposed to detect shot changes by computing color histogram differences or the variances of DCT coefficients. However, these approaches do not consider the content or meaningful features in the image data which are useful in high level video processing. In particular, it is desirable to detect these features from compressed video data because this requires less processing overhead. In this paper, we propose a new method to detect shot boundaries from MPEG data using region flow and color information. First, we reconstruct DC images and compute region flow information and color histogram differences from HSV quantized images. Then, we compute the points at which region flow has discontinuities or color histogram differences are high. Finally, we decide those points as shot boundaries according to our proposed algorithm.

• Journal of KIISE
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• v.43 no.1
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• pp.47-53
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• 2016

While the Internet develops rapidly, a huge amount of image data collected from smart phones, digital cameras and black boxes are being shared through social media sites. Generally, social images are handled by tagging them with information. Due to the ease of sharing multimedia and the explosive increase in the amount of tag information, it may be considered too much hassle by some users to put the tags on images. Image retrieval is likely to be less accurate when tags are absent or mislabeled. In this paper, we suggest a method of extracting tags from social images by using image content. In this method, CNN(Convolutional Neural Network) is trained using ImageNet images with labels in the training set, and it extracts labels from instagram images. We use the extracted labels for automatic image tagging. The experimental results show that the accuracy is higher than that of instagram retrievals.

• Journal of Fisheries and Marine Sciences Education
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• v.10 no.1
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• pp.100-113
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• 1998

The information society is characterized by rapidly increasing and changing information. Traditional models of learning and instruct on have emphasized forms of mastering the information in content domains. Storing information and being able to recall it has been central to formal education. But it is no longer possible to master content domains. This paper discusses constructivism as a shifting paradigm for educational research and practice in information society. Constructivism provides an alternative epistemological base to the objectivist tradition. Constructivism holds that there is a real world that we experience. However, the argument is that meaning is imposed on the world by us, rather than existing in the world independently of us. Meaning is seen as rooted in experience. The experience in which an idea is embedded is critical to the individual's understanding of that idea. From the constructivist perspective, learning is not a stimulus-response phenomenon. It requires self-regulation and the building of conceptual structures through reflection and abstraction. Problems are not solved by the retrieval of rote-learned right answers. The effective motivation to continue learning can be fostered by leading students to experience the pleasure that is inherent in solving problems chosen as one's own. Constructivism requires the change of the teacher's role from a knowledge transmitter to a coach or facilitator of student's understanding. Constructivist teachers inquire about students' understanding of concepts before sharing their own understandings of those concepts, and encourage students to engage in dialogue, both with them arid with one another. In Korea, the educational reform called open education has been spreading through out the country. There should be a paradigm shift in learning and instruction from objectivism to constructivism for better educational reform in Korea.

• Journal of Digital Convergence
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• v.20 no.1
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• pp.179-184
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• 2022

With the development of information and communication technology, the production and distribution of digital contents is rapidly increasing, and the distribution of illegally copied contents also increases, causing various problems. In order to prevent illegal distribution of contents, a DRM (Digital Rights Management)-based approach can be used, but in a situation where the contents are already copied and distributed, a method of searching and detecting the duplicated contents is required. In this paper, a duplication detection method based on the contents of video content is proposed. The proposed method divides the video into scene units using the visual rhythm extracted from the video, and hierarchically applies the playback time and color feature values of each divided scene to quickly and efficiently detect duplicate videos in a large database. Through experiments, it was shown that the proposed method can reliably detect various replication modifications.

• Journal of Korean Society of Archives and Records Management
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• v.24 no.1
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• pp.89-109
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• 2024

The study analyzed the research trends of domestic and international record information services from 2003 to 2022. A total of 136 academic papers registered in the Korea Citation Index (KCI) and 74 from the Library, Information Science & Technology Abstracts (LISTA) were examined by quantitative and qualitative content analysis to understand the research status of 20 years from various angles, such as publication year, research type, researcher type, subject, and purpose. Frequency analysis, co-occurrence frequency analysis, centrality analysis, and topic modeling were performed by applying text mining techniques. Results showed that domestic papers demonstrated a research flow focused on specific institutions or records, and user-centered satisfaction surveys and content-centered studies were conducted. Moreover, foreign papers confirmed various evaluation-oriented and information provision studies, such as data, resources, and collections, along with the research trend focusing on the relationship between archivists and users. The management of information resources was identified as a common topic in both domestic and foreign papers, but it is possible to identify that domestic research focuses on maintaining the quality of domestic information resources, while foreign research focuses on the storage and retrieval of information.

• Journal of the Korean Society for information Management
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• v.29 no.4
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• pp.229-249
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• 2012

The study aims to analyze the notion of web navigation in library and information science (LIS) by investigating the concepts and its consequences. The analysis is based on 32 articles published in international LIS journals between 1995 and 2012. The study noted the changing contexts of information retrieval in the Web environment, and discusses the changes over time in the way in which the notion of navigation have been regarded. Three main concepts are identified: navigation behavior, navigation strategies, and navigation designs.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 1996.06a
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• pp.169-174
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• 1996

객체 인식은 대용량의 영상 데이터를 분석, 탐색하고 재구성하기 위한 내용기반 영상 검색의 매우 중요한 분야이며, 특히 인간의 얼굴은 검색 영상 내에서 대부분 주요한 장면에 위치하고 있기 때문에 그 비중이 매우 크다. 본 논문에서는 내용기반 영상 검색을 위한 실시간 얼굴 영역 추출 방법을 제안한다. 제안된 방법에서는 다층 피라미드 구조와 간단한 형태의 머리 형판을 사용하여 얼굴의 후보 영역을 추출한 후, 보다 정확한 얼굴 영역을 추출하기 위하여 후보 영역 내에서 눈의 위치를 탐색하고, 두 눈의 위치를 기준으로 최종적인 얼굴 영역을 추출하였다. 얼굴 후보 영역 추출 단계에서는 얼굴의 형태 정보를 포함하고 있는 모자이크 형판을 사용하여 머리와 턱을 포함한 얼굴 영역을 추출하였으며, 눈 위치 추출 단계에서는 눈의 위치 정보를 사용하여 눈의 탐색 영역을 결정하고, 탐색 영역 내에서 이진 영상 형판을 사용하여 눈의 위치를 추출한 후, 눈 영역의 무게 중심을 눈의 중심 위치로 설정하였다. 마지막 얼굴 영역 추출단계에서는 두 눈의 위치를 기준으로 사각형의 영역을 얼굴 영역으로 추출하였다. 제안된 방법의 성능을 검증하기 위하여 1700장의 다양한 영상에 대하여 실험하였으며, 실험 결과 한 장의 영상에서 얼굴 영역을 추출하는데 있어서, Pentium 166Mz의 PC상에서 평균 3.2초의 처리 속도와 91.7%의 추출률을 보임으로써, 실시간 얼굴 영역 추출에 매우 효과적임을 알 수 있었다.

• Journal of the Korean Society for Library and Information Science
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• v.40 no.2
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• pp.299-314
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• 2006

This study suggests evaluation criteria for the web-based question-answer databases provided by major Korean search portals. In particular, this study suggests evaluation criteria for the relevance of question titles, entire questions, and answer's. The evaluation criteria for the qualify of answers are also developed. Based on these criteria. evaluation of documents from Naver Knowledge-in are performed. The results of this study can be implemented to the development of test collection of question-answer databases. The implications for system designers and web content providers are discussed.