• The Journal of Industrial Distribution & Business
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• v.5 no.1
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• pp.5-9
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• 2014

Purpose - This study aims to examine the incremental information content of cash flw from operations and earnings in the Iranian capital market. Design, methodology, and approach - Based on market-based accounting research, this study uses statistical associations between accounting data (earnings and cash flw) and stock returns to assess/measure the incremental information content (value relevance) of cash flw and earnings. A multivariate regression model based on panel data is used to examine the incremental information content of earnings and cash flow from operations. Results - The results show that both earnings and cash flow from operations have incremental information content beyond each other. These results are consistent with the findings of recent studies. Overall, the fidings of this study support the usefulness of cash flw information in addition to earnings, in fim valuation by investors in the Iranian market. Conclusions - The study makes the following contributions to the Iranian literature on incremental information content of cash flw and earnings. First, this study employs actual cash flw data derived from cash flw statements. Second, this study employs a large sample size for a more recent period.

• Proceedings of the Korean Information Science Society Conference
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• 2001.10a
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• pp.250-252
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• 2001

With the growth in computer and network technologies, some content-based music retrieval systems have been developed. However, their retrieval efficiency does not satisfy user's requirement yet. Of course users hope to have a more efficient and higher precision for music retrieval. In this paper so for these reasons, we Propose an efficient content-based music retrieval algorithm using melodies represented as music sequences. From the experimental result, it is shown that the proposed algorithm has higher exact rate than the related algorithms.

• Journal of the Korea Society of Computer and Information
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• v.5 no.3
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• pp.215-219
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• 2000

The purpose of this paper is to propose a method to maximize the efficiency of a content-based image retrieval for various kinds of images. This paper discuss the self-adaptivity for the change of image domain and the self-selection of optimal features for query image, and present the efficient method to maximize content-based retrieval for various kinds of images. In this method, a content-based retrieval system is adopted to select automatically distinctive feature patterns which have a maximum efficiency of image retrieval in various kinds of images. Experimental results show that the Proposed method is improved 3% than the method using individual features.

• Korean Journal of Health Education and Promotion
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• v.25 no.4
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• pp.83-92
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• 2008

Objectives: This study was to develop and evaluate a web-based multimedia content for the education of hospice volunteers. Methods: The multimedia content was developed based on Baik's teaching and learning structure plan model. The developed program was evaluated by 24 hospice volunteer university students. Results: On main page, there were 4 menu bars that consisted of a lecture guide, cyber lecture, pause and quiz. In the operation of the web based multimedia content, HTML, Java Script, Photoshop and multimedia technology were utilized. There were significant differences in the test scores, before and after using this web-based learning program. After using a web-based learning program, scores of students were much higher. Conclusion: The developed web based program is based on systematic structure and it can provide hospice volunteers with the educational flexibilities and will be help for them to perform the more efficient hospice care.

• Journal of the Korean Institute of Intelligent Systems
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• v.15 no.7
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• pp.794-799
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• 2005

In this paper, We describe the XML-based Web content management system that supports the efficient dynamic content publishing environment. EasyCM is designed based on Cocoon2 that is the XML publishing framework. We propose the publishing mechanism to support the efficient dynamic content publishing environment to expand into the available dynamic content caching to Cocoon2. Publishing mechanism of EasyCM draws XML object from content repository, associates XML with XSLT, creates and caches content components preprocessing HTML transformation process, and publish web pages constructed into cached content component. For supporting more efficient caching, EasyCM supports also content component update, two update method that is immediately-update and delay-update for updated content component.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.40 no.1
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• pp.78-87
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• 2015

Content-Centric Networking(CCN) is a new networking paradigm to search for the routing information needed to find a data from the content name, unlike conventional IP networks. In CCN, the mobility management, one of the CCN challenges, is consists of consumer mobility and content provider mobility. Among both, in the case of the content provider mobility, it requires too much overhead and time to update routing information on the corresponding routers. In this paper, we propose Popularity-based Pushing CCN(PoPCoN) which considers the content popularity to support effective mobility of content provider in CCN. Our proposed algorithm shortens content download time for the consumer and reduces the network overhead during mobility as compared to the existing approaches.

• Journal of Digital Convergence
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• v.19 no.4
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• pp.133-139
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• 2021

Due to the rapid progress in network technology, many research on content security technologies is also being conducted in the mobile digital content sector. In the meantime, content protection has been immersed in preventing illegal copying, certifying, and issuance/management certificates, but still have many vulnerabilities in managing or authenticating confidential information. This study aims to strengthen confidential information about content based on dual management of content download rights through mobile phone numbers or device numbers. It also protect replay-attack by building a secure mobile DRM system where digital content is safely distributed based on a three-stage user authentication process. In addition, blockchain-based content security enhancements were studied during the primary/secondary process for user authentication for the prevention of piracy and copyright protection. In addition, the client authentication process was further improved through three final stages of authorization in the use of illegal content, considering that legitimate users redistributed their content to third-party.

• Proceedings of the Korean Information Science Society Conference
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• 2012.06a
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• pp.27-29
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• 2012

최근 온라인 상에는 분산 처리 환경을 바탕으로 대량의 데이터들이 생성, 수정 및 삭제가 되고 있다. 이러한 환경에서의 효율적인 데이터 처리를 위해 많은 연구들이 진행되고 있으며, 특히 데이터의 입력을 컨텐츠 단위의 청크(content-based chunk)로 분할하고, 이에 MapReduce를 적용하여 효율적으로 데이터 처리를 하는 incremental computation에 관한 연구가 주목 받고 있다. 본 논문에서는 위와 같은 연구에서 주로 이용되는 content-based chunking 기법에 대해 분석하고, 이러한 기법에서 발생 할 수 있는 위험요소에 대해서 기술한다.

• Proceedings of the IEEK Conference
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• 2008.06a
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• pp.613-614
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• 2008

A content recommendation according to users preferences comes up in the Internet application due to contents overwhelming. This paper newly proposes a method to predict contents preference using tags in conjunction with Content-Based Filtering. By implementing this method, this paper cleans up the contents sparsity problem in Content-Based Filtering, and shows the outstanding improvements.

• Speech Sciences
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• v.12 no.1
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• pp.135-142
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• 2005

An important aspect of video indexing is the ability to segment video into meaningful segments, i.e., content-based video segmentation. Since the audio signal in the sound track is synchronized with image sequences in the video program, a speech signal in the sound track can be used to segment video into meaningful segments. In this paper, we propose a new approach to content-based video segmentation. This approach uses closed caption to construct a recognition network for speech recognition. Accurate time information for video segmentation is then obtained from the speech recognition process. For the video segmentation experiment for TV news programs, we made 56 video summaries successfully from 57 TV news stories. It demonstrates that the proposed scheme is very promising for content-based video segmentation.