• Journal of the Korean Society for Library and Information Science
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• v.51 no.1
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• pp.227-243
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• 2017

This study proposed a structural and semantic framework for the characterization of events and segments in Web videos that permits content-based searches and dynamic video summarization. Although MPEG-7 supports multimedia structural and semantic descriptions, it is not currently suitable for describing multimedia content on the Web. Thus, the proposed metadata framework that was designed considering Web environments provides a thorough yet simple way to describe Web video contents. Precisely, the metadata framework was constructed on the basis of Chatman's narrative theory, three multimedia metadata formats (PBCore, MPEG-7, and TV-Anytime), and social metadata. It consists of event information, eventGroup information, segment information, and video (program) information. This study also discusses how to automatically extract metadata elements including structural and semantic metadata elements from Web videos.

• Journal of the Korean Association of Geographic Information Studies
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• v.7 no.2
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• pp.87-96
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• 2004

When watershed spatial database is constructed from DEM, hydrological geographic characteristics of watershed can be easily extracted. And the characteristics can be assigned and managed as the attribute of spatial database. In this study the scheme of constructing framework spatial database which is basic information for managing watershed information is examined. We established framework spatial data and defined the relationship of the data. And framework spatial database of test site was constructed. In this study, HyGIS(Hydrological Geographic Information System) which is developed by domestic technology for making hydrological spatial data and developing water resources system is used. Hydrological geographic characteristics and spatial data is extracted by HyGIS. And the data from HyGIS is used for constructing framework spatial database of test site. Finally, this study suggests the strategy of constructing framework spatial database for developing watershed management system based on river network.

• The Transactions of the Korea Information Processing Society
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• v.7 no.5
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• pp.1377-1387
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• 2000

Many companies are investing in the development of the PDM(Prodct Data Management) system to improve the productivities of manufacturing since people believe that PDM technology can give a new solution from planning to development. As the requirements of PDM grows, so many industries sped their own budget on developing common requirements and functionalities. In this paper, we describe the framework for a PDM application to promote reuse in a PDM system development area. However, developing the framework is not easy. In this paper, the current state and results of our development are described: 1) the phases of developing our framework, 2) abstruction strategies, 3) programing model based on repository. Although frameworks improve software reuse, frameworks are so large and complex that application developers require to understand framework in order to customize the framework. To support the customization of framework, development environment is developed, also.

• Journal of the Korean Society for Library and Information Science
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• v.55 no.1
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• pp.135-159
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• 2021

The purpose of this study is to derive the implications needed to improve reading and information literacy and provide information services for students and citizens through changes in the concept of PISA 2018 Reading Literacy and its Assessment Framework analysis. The findings of the study are as follows. First, meaning of PISA Reading Literacy concept has changed along with the changes of the social and technological environments. Second, concept and assessment framework included the whole process of reading. Third, the Assessment Framework included a number of factors similar to the cognitive process of the information literacy model like Big6 Skills, but also there were differences. Fourth, the digital reading is reflected in the Assessment Framework. The PISA 2018 Reading Literacy Assessment Framework provides implications for the standards and methods required for librarians to develop reading and information literacy models and assessment frameworks to improve citizens' reading and information literacy, and to provide information services to them.

• IE interfaces
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• v.20 no.4
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• pp.560-567
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• 2007

The opening of ubiquitous computing era prompted rapid increase in information transfer between human and computer. Such changes in computing environment requires new computing interface. In this paper, we develop a user interface prototype and framework using Avatar in Ubiquitous computing environment, which can support an active communication between human and computer based on context information. To develop the new interface, its conceptual framework with specific context information is designed in advance. In addition, this study suggests the future goal of user interface using Avatar by suggesting the requirements of constructed prototype.

• International Journal of Computer Science & Network Security
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• v.22 no.7
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• pp.268-282
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• 2022

One of the most important technologies today is augmented reality technology, it allows users to experience the real world using virtual objects that are combined with the real world. This technology is interesting and has become applied in many sectors such as the shopping and medicine, also it has been included in the sector of education. In the field of education, AR technology has become widely used due to its effectiveness. It has many benefits, such as arousing students' interest in learning imaginative concepts that are difficult to understand. On the other hand, studies have proven that collaborative between students increases learning opportunities by exchanging information, and this is known as Collaborative Learning. The use of multimodal creates a distinctive and interesting experience, especially for students, as it increases the interaction of users with the technologies. The research aims at developing collaborative framework for developing achievement of 6th graders through designing a framework that integrated a collaborative framework with a multimodal input "hand-gesture and touch", considering the development of an effective, fun and easy to use framework with a multimodal interaction in AR technology that was applied to reformulate the genetics and traits lesson from the science textbook for the 6th grade, the first semester, the second lesson, in an interactive manner by creating a video based on the science teachers' consultations and a puzzle game in which the game images were inserted. As well, the framework adopted the cooperative between students to solve the questions. The finding showed a significant difference between post-test and pre-test of the experimental group on the mean scores of the science course at the level of remembering, understanding, and applying. Which indicates the success of the framework, in addition to the fact that 43 students preferred to use the framework over traditional education.

• Journal of Information Technology Applications and Management
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• v.10 no.4
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• pp.103-118
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• 2003

This study presents a database quality evaluation framework. As a way to build a framework, this study expands data quality management to include data transformation processes as well as data. Further, an information structure graph is applied to represent data transformations processes. An information structure graph is absed on a relational database scheme. Thus, data transformation processes may be stored in a relational database. This kind of integration of data transformation metadata with technical metadata eases evaluation of database qualities and their causes.

• Proceedings of the Korean Society of Computer Information Conference
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• 2020.07a
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• pp.271-272
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• 2020

오늘날 자동차 이용자가 점점 증가하고 있다. 이로 인해 주차 공간이 부족해져 많은 불편을 초래한다. 따라서 본 연구는 이러한 문제를 해결하기 위해 주차 예약 시스템을 구현하였다. 본 시스템은 Spring Framework 기반의 주차 예약 시스템으로 예약과 취소를 자유롭게 이용할 수 있다. 또한 주차 예약 시스템의 이용 후기, 꼭 알아야 하는 공지사항 등 게시판을 활용하여 더욱 자유롭게 이용할 수 있다.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.13 no.1
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• pp.406-434
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• 2019

In general, an information security approach estimates the risk, where the risk is to occur due to an unusual event, and the associated consequences for cloud organization. Information Security and Risk Management (ISRA) practices vary among cloud organizations and disciplines. There are several approaches to compare existing risk management methods for cloud organizations but their scope is limited considering stereo type criteria, rather than developing an agent based task that considers all aspects of the associated risk. It is the lack of considering all existing renowned risk management frameworks, their proper comparison, and agent techniques that motivates this research. This paper proposes Agent Based Information Security Framework for Hybrid Cloud Computing as an all-inclusive method including cloud related methods to review and compare existing different renowned methods for cloud computing risk issues and by adding new tasks from surveyed methods. The concepts of software agent and intelligent agent have been introduced that fetch/collect accurate information used in framework and to develop a decision system that facilitates the organization to take decision against threat agent on the basis of information provided by the security agents. The scope of this research primarily considers risk assessment methods that focus on assets, potential threats, vulnerabilities and their associated measures to calculate consequences. After in-depth comparison of renowned ISRA methods with ABISF, we have found that ISO/IEC 27005:2011 is the most appropriate approach among existing ISRA methods. The proposed framework was implemented using fuzzy inference system based upon fuzzy set theory, and MATLAB(R) fuzzy logic rules were used to test the framework. The fuzzy results confirm that proposed framework could be used for information security in cloud computing environment.

• Journal of Korea Spatial Information System Society
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• v.11 no.2
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• pp.45-53
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• 2009

The fast progress on multimedia data acquisition technologies has enabled collecting vast amount of videos in real time. Although the amount of information gathered from these videos could be high in terms of quantity and quality, the use of the collected data is very limited typically by human-centric monitoring systems. In this paper, we propose a framework for analyzing long traffic video using series of content-based analyses tools. Our framework suggests a method to integrate theses analyses tools to extract highly informative features specific to a traffic video analysis. Our analytical framework provides (1) re-sampling tools for efficient and precise analysis, (2) foreground extraction methods for unbiased traffic flow analysis, (3) frame property analyses tools using variety of frame characteristics including brightness, entropy, Harris corners, and variance of traffic flow, and (4) a visualization tool that summarizes the entire video sequence and automatically highlight a collection of frames based on some metrics defined by semi-automated or fully automated techniques. Based on the proposed framework, we developed an automated traffic flow analysis system, and in our experiments, we show results from two example traffic videos taken from different monitoring angles.