• Proceedings of the Korea Information Processing Society Conference
• /
• 2004.11a
• /
• pp.93-96
• /
• 2004

인터넷이 정보사회의 핵심 역할을 담당하면서 각 산업별로 생성되는 방대한 양의 콘텐츠들이 디지털화 되고, 각 인터넷 사이트는 고객의 수요에 따라 다양한 콘텐츠 선점을 통한 사이트의 경쟁력을 높이려 경주하고 있으나 자체 생산과 관리의 한계로 콘텐츠 신디케이션이 등장하였다. 그러나 산업기술 콘텐츠 신디케이터의 입장에서는 다양한 분류와 콘텐츠 제공업체(CP)에 따라서 서로 다른 데이터 표현으로 인하여 정보 수집에 있어 표준화된 프레임웍이 요원하였다. 따라서 이러한 문제점에 기초하여 관련 산업과 국제표준을 고찰해보고 융화시켜 국내 현실에 맞는 범용의 메타정보 프레임웍 구축을 통한 산업기술 콘텐츠 신디케이션 시스템을 설계 및 구현하고자 한다.

• International Journal of Knowledge Content Development & Technology
• /
• v.12 no.1
• /
• pp.67-83
• /
• 2022

This study aims to evaluate some academic institutional repositories (IRs) in Ghana. Data were collected using observation and interview methods by examining the various websites of seven (7) selected academic institutional repositories in Ghana. The findings revealed that the University of Ghana, Legon, leads records count of the seven Institutional Repository (IRs) examined. Dspace was the prioritized software for managing and preserving the digital contents of these IRs. Theses, dissertations and research articles were the leading contents deposited on the IRs. The majority of the IRs have incorporated RSS (Rich Site Summary or Really Simple Syndication) feeds on their IRs with few using other Web 2.0 features. English was the only interface language used on all the IRs. From the interview, the findings revealed that most of the faculty members did not use the IR very often and 9(42.9) also indicated that, they have never deposited their materials on the IR. Faculty members again indicated that, inadequate ICT connectivity and infrastructure, unreliable power supply, Copyrights and intellectual rights, financial constrain, inadequate advocacy and training on the importance of IRs to faculty and users were the major challenges of academic libraries in operating IRs in Ghana.

• Journal of Korea Multimedia Society
• /
• v.12 no.9
• /
• pp.1342-1350
• /
• 2009

Until today, the uses of digital display system mostly included demonstration, observation, and exhibition of simple images. The strengths were that the images that changes in line with the music played could be reinterpreted as a different work. Also, it could stimulate the sensibility of the users. However, the range of the uses of the system is very limited and users could easily lose their interest. Therefore, it is necessary to develop a system that could continuously induce and motivate user interaction. Therefore, the RSS based digital folding screen system proposed by this paper has an objective of being used as an interactive media system which overcome the limitations of former eight-sided folding screen used for simple observation purposes. It also applied the main function of RSS in which the user could collect and read newly registered messages without visiting the blogs or corresponding websites. Therefore, it is capable of sending the information needed by the user. Generally, we can observe the contents for mere observation purposes and when necessary, it could also be utilized for advertisement or exhibition purposes. It could also be used as a information transfer system in public facilities.

• Journal of Intelligence and Information Systems
• /
• v.15 no.4
• /
• pp.141-158
• /
• 2009

The requirements of knowledge customization have increased as information resources have become more various and the numbers of the resources are increased. Even if the method for collecting the information has improved like Really Simple Syndication (RSS), information users are still struggling for extracting and customizing the required information through the Web. To reduce the burden, we offer the dynamic knowledge customization framework by using ontology-based CBR. The framework consisting of three phases is comprised of the conversion phase of web information as a machine-accessible case, the extraction phase to find a case appropriate for information users' requirements, and the case customization phase to create knowledge depending on information user's requirements. Newly, the dynamic and intensity-based similarity is adopted to support timely dynamic change of users' requirements. The framework has adopted to create traveler's knowledge to the level users wanted.

• Journal of Internet Computing and Services
• /
• v.12 no.5
• /
• pp.113-125
• /
• 2011

As information resources have become more various and the number of the resources has increased, knowledge customization on the social web has been becoming more difficult. To reduce the burden, we offer a framework for context-based similarity calculation for knowledge customization using ontology on the CBR. Thereby, we newly developed context- and intensity-based similarity calculation methods which are applied to extraction of the most similar case considered semantic similarity and syntactic, and effective creation of the user-tailored knowledge using the selected case. The process is comprised of conversion of unstructured web information into cases, extraction of an appropriate case according to the user requirements, and customization of the knowledge using the selected case. In the experimental section, the effectiveness of the developed similarity methods are compared with other edge-counting similarity methods using two classes which are compared with each other. It shows that our framework leads higher similarity values for conceptually close classes compared with other methods.

• Journal of Digital Contents Society
• /
• v.10 no.3
• /
• pp.401-411
• /
• 2009

This study focused on the crisis of local private broadcasting and political solution. The local private broadcasting has launched in 1995. Until now, local private broadcasting is successful in stable management and ensuring profit but it is attributed to a role of transmission pipe of SBS. However, this kind of syndication system has been a major problem of local private broadcasting and local private broadcasting has become weak and weak from outside impact. Presently broadcasting market has been changed very fast. It enters into unlimited competition era of multimedia and multichannel. However, especially local private broadcasting has both of public and private characteristics. Thus, local private broadcasting should not be hung by the wall any more. In this study administrative outcome of local private broadcasting will be analyzed and some hot political issues will be analyzed also then the political solution might be looked up at the same time. Now local private broadcasting also should be changed to totally new broadcasting company pursuing creative local contents and new digital concept.

• International Area Studies Review
• /
• v.13 no.3
• /
• pp.29-49
• /
• 2009

We examine the effects of information transparency, lender identity, and credit rating on the commitment fees of syndicated loans originated in Japan, employing a sample of 331 facilities. A syndicated loan is a financing instrument offered to a single borrower by multiple lenders, and Japanese syndicated loan volume increased 36% to a record-high of $283 billion in 2008 compared to 2007. We find that the more informational opaque the borrower, the higher the commitment fees the lender charges to the Japanese borrowers. There is evidence that a syndicate involving a Japanese lead agent is able to extract rents through higher commitment fees. We document that there is a significant relation between the credit rating of the borrower and the commitment fee cost of syndicated loans originated in Japan. Most importantly, our results provide evidence that banks in Japan extract higher returns on syndicated loans through the commitment fees in addition to higher loan spreads. Using a micro-level of Japanese borrowers, we contribute to existing literature by providing our empirical evidence after controlling for borrowing spread.

• Journal of the Korea Institute of Information and Communication Engineering
• /
• v.22 no.12
• /
• pp.1639-1644
• /
• 2018

Unlike internal combustion engines, electric cars have little engine sound and very quiet, causing the following problems to occur. First of all, pedestrians are a threat to safety because they can't feel the car approaching. The driver is also unable to recognize how fast his car is driving at a certain speed. To solve these problems, electric cars should be artificially created and reused. This paper examines the problems of the Sampling engine sound currently being used and uses the engine sound to produce a sound engine sound for the solution. The sampling engine sound has some limitations in making natural engine sounds. To overcome this problem, we studied two methods of using software synthesizers. They found subtractive synthsizing and wavetable synthsizing, which compared wavetabe synthsizing with actual engine, sampling and subtractive methods to find the most similar to real engine sound. We found that data usage and production cost are more advantageous than sampling method and subtractive syndication method.

• Journal of KIISE:Databases
• /
• v.37 no.5
• /
• pp.258-266
• /
• 2010

In this paper, we introduce a novel method to predict next update of blogs. The number of RSS feeds registered on meta-blogs is on the order of several million. Checking for updates is very time consuming and imposes a heavy burden on network resources. Since blog search engine has limited resources, there is a fix number of blogs that it can visit on a day. Nevertheless we need to maximize chances of getting new data, and the proposed method which predicts update probability on blogs could bring better chances for it. Also this work is important to avoid distributed denial-of-service attack for the owners of blogs. Furthermore, for the internet as whole this work is important, too, because our approach could minimize traffic. In this study, we assumed that there is a specific pattern to when a blogger is actively posting, in terms of days of the week and, more specifically, hours of the day. We analyzed 15,119 blogs to determine a blogger's posting preference. This paper proposes a method to predict the update probability based on a blogger's posting history and preferred days of the week. We applied proposed method to 12,115 blogs to check the precision of our predictions. The evaluation shows that the model has a precision of 0.5 for over 93.06% of the blogs examined.

• Journal of Digital Contents Society
• /
• v.13 no.3
• /
• pp.393-399
• /
• 2012

New and creative skills must be developed, and adapted into a lesson, to motivate learners to acquire a second language easily and enjoyment, Multimedia tools which are of interest to learners, such as; smart phones, computers, and notebooks with wireless internet compatability, will provide learners opportunities to study, and do their work practically anywhere and anytime. Recently, podcasts, which are a type of digital media, consisting of a series of audio episodes or video files, subscribed to and downloaded through web syndication, or streamed online to a computer or mobile device, are used to facilitate ESL (English as a Second Language) learning. Development of a variety of teaching methods, using multimedia tools, is needed. There are advantages and disadvantages to using a variety of multimedia tools. The current research aims to study its characteristics and application, in order to maximize their effective use, in English education. The current study suggests a ubiquitous learning environment using multimedia content tools, internet media, video teleconferencing, cyber-learning, and one-to-one videos used in conjunction with, or as a digital textbook for the English lesson. This study also investigates future educational changes, using state-of-the-art equipment for the self-learning experience, and will present a new direction in English education, through a variety of instructional devices and a marginalized class system model.