• The KIPS Transactions:PartC
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• v.15C no.1
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• pp.61-68
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• 2008

With the rapid advancement of mobile communication, mobile devices are evolving into convergence devices with various multimedia capabilities. But, high performance of devices demands complicated settings, and thus contains latent error possibilities, and poor system performance caused by the collision of different softwares. To solve these problems, device management becomes an important issue. Open Mobile Alliance(OMA) developed OMA DM(Device Management), which is a device management standard. Recently released OMA DM v1.2 provides improved mobile device management methods compared to earlier versions. This paper introduces design and implementation of OMA DM v1.2 based management agent. By using Tree and Description Serialization(TNDS) for acquiring, adding, and editing objects in the mobile devices, it provides more effective device management with small amount of network traffic.

• The KIPS Transactions:PartC
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• v.9C no.5
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• pp.775-782
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• 2002

This paper introduces Policy Management Tool which was implemented based on Policy Information Model in network suity system. Network security system consists of policy terror managing and sending policies to keep a specific domain from attackers and policy clients detecting and responding intrusion by using policies that policy server sends. Policies exchanged between policy server and policy client are saved in database in the form of directory through LDAP by using Policy Management Tool based on network security policy information model. NSPIM is an extended policy information model of IETF's PCIM and PCIMe, which enables network administrator to describe network security policies. Policy Management Tool based on NSPIM provides not only policy management function but also editing function using reusable object, automatic generation function of object name and blocking policy, and other convenient functions to user.

• Journal of Korea Multimedia Society
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• v.10 no.5
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• pp.652-667
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• 2007

With the wide spread of XML data in various fields, the interest in developing convenient user interfaces for inputting XML data is increasing. Previous works on the automated generation of user interfaces have given insufficient supports for various user environments and inconvenient editing tools for complex documents. In this paper, we presents an approach to generate XForms based user interfaces from XML schemas, for inputting XML data. The proposed method consists of three steps: parsing XML schemas, generating XForms codes, and embedding it into host language documents. Specifically, to generate XFonns codes, the rules for generating XForms codes, which support complex types and map simple types to appropriate input controls, are proposed. Experimental results with various kind of schemas show that the proposed method can generate XForms interfaces successfully.

• Journal of Nutrition and Health
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• v.46 no.5
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• pp.470-481
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• 2013

This study provides standardized scientific criteria for education materials on nutrition and diet that could be used in schools, workplaces, and health and medical facilities. The study was conducted from April 2011 to October 2011. Literature reviews, institutional visits, and telephone interviews were conducted for the first draft of the accreditation criteria. Expert meeting and advisory councils were conducted in order to obtain feedback after development of the first draft of accreditation criteria. In order to verify the validity and reliability of the first draft on certification criteria, a survey was sent out to 143 professionals, including professors, researchers, health and medical experts, teachers, nutrition teachers, dietitians, and clinical nutritionists. After several modifications, the final accreditation criteria were established for 1) printed materials (authority, credibility, objectivity, organization, editing, real-life usability, activities and participation, and public interest), 2) web-sites (authority, credibility, objectivity, design, real-life usability, accessibility, currency, and public interest) and 3) materials with activities (credibility, organization, design, convenience of utilizing, safety, and public interest). Out of several criteria, contents (authority, credibility. and objectivity) and publicity (public interest) areas are mandatory requirements. For the accreditation, books for learning and materials with activities are required to meet more than six evaluation components, and the other materials are required to meet more than five evaluation components, including the required area. Accreditation criteria developed in this study could be used as a standard for development or selection of good education materials for nutrition and dietary life.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.12 no.7
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• pp.1193-1201
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• 2008

In this paper, we propose a automated techniques for generating the gait animation of humanoid character model required in game applications. The proposed method can generate motion data of various styles with intuitive manipulation, and techniques for editing motion data are also proposed. In addition, we introduce an automated tool for gait animation of character model developed with the proposed method to verify the effectiveness of our method. The proposed method tan be successfully employed in motion authoring tools. In this paper, only the gait animation was considered. However, the proposed method can be applied to various motions and can be utilized as a motion engine that automatically generates proper motion according to the state of the character. The motion engine can express various behavior of the character without requiring motion data base which is usually employed in 3D online games.

• Journal of the Korea Society of Computer and Information
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• v.11 no.4 s.42
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• pp.147-154
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• 2006

Effective and efficient representation of color features of multiple video frames is an important vet challenging task for visual information management systems. This paper Proposes a Video Browsing Service(VBS) that provides both the video content retrieval and the video browsing by the real-time user interface on Web. For the scene segmentation and key frame extraction of video sequence, we proposes an efficient scene change detection method that combine the RGB color histogram with the X2 (Chi Square) histogram. Resulting key frames are linked by both physical and logical indexing. This system involves the video editing and retrieval function of a VCR's. Three elements that are the date, the need and the subject are used for video browsing. A Video Browsing Service is implemented with MySQL, PHP and JMF under Apache Web Server.

• KOREAN JOURNAL OF CROP SCIENCE
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• v.66 no.3
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• pp.220-239
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• 2021

Grasses (Poaceae) belong to the biggest plant family among angiosperms and it cover around 20% of the earth's surface. The members of this family are mostly utilized as food resources by humans and animals but they are also valuable in terms of evolution and ecology. The member of the subfamily Pooideae represents, temperate grasses, and includes a number of economically important crops and belongs to the clade BOP (including the subfamilies Bambooideae, Oryzeae, and Pooideae). This subfamily is the largest among all grass families. The special features of this subfamily are cold acclimation and vernalization. The members of Pooideae subfamily with the aforementioned special features are thought to have evolved in the Cenozoic era when the temperature on earth started to cool down, which triggered the diversification of this subfamily through adaptation to cold weather. The agricultural origin of wheat, barley, oat, and rye is attributed to fertile crescent and thereafter they were domesticated through Neolithic evolution. The history of domestication of each Pooideae crop is distinct and is based on their purpose. Recently, breeding of these crops is performed differently due to the development of new technologies such as genomics and genome editing. This review article summarizes the evolutionary history of the members of the subfamily Pooideae and use of pre-existing information for future breeding efforts.

• Fashion & Textile Research Journal
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• v.23 no.4
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• pp.504-514
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• 2021

This study attempted to extract and structure the job skills required for 3D designers, which have been recently introduced to the fashion industry. The study aimed to materialize and objectify the 3D designer's job, using a focus group interview for the survey. The 3D designer has the TD task of making 3D virtual samples using the pattern files developed in Pattern CAD. Graphic design and fabric digitization are also major tasks for the 3D designer. CLO is mainly used for 3D virtual sample production, and PixPlant, Substance, Photoshop, Cinema 4D, Daz studio, and 3ds MAX are used for image and avatar editing. As per the job skills required for 3D design work, basic knowledge about patterns and sewing, skill in 3D virtual clothing technology, ability to use various software, and English skills were considered important, in that order. In particular, the need for knowledge about patterns and sewing became more important than the skill in 3D virtual clothing technology itself. To train 3D designers, it was found that not only 3D virtual clothing software, but also education on patterns and clothing construction, CAD developer's curriculum certification system, and 3D designer qualification management were required. In addition, 3D designers are recognized as an essential job in fashion vendors, and the demand for domestic brands is increasing. The biggest limitation of the 3D virtual clothing system is the perfection of the digital fabric. Also, technical improvement is needed.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.15 no.2
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• pp.695-712
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• 2021

As the use of smart devices is being increased rapidly by the development of internet and IT technology, the contents production and utilization rate are showing higher increase, too. In addition, the type of contents also shows very diverse forms such as education, game, video, UCC, etc. In the meantime, the contents are reproduced in diverse forms by reprocessing the original contents, and they are being serviced through the contents service platform. Therefore, the platform to make the contents reprocessing easy and fast is needed. As the diverse contents distribution channels such as YouTube, SNS, App Service, etc, easier contents distribution platform is needed, and the development of the relevant area is expected. In addition, as the selective consumption of the contents having easy accessibility through diverse smart devices is distinguished, the demand for the platform and service that can identify the contents consumption propensity by individual is being increased. Therefore, in this study, to vitalize the online contents distribution, the contents reproduction and publishing platform, was designed and materialized, which can reproduce and distribute the contents based on the real-time contents editing technology in URL unit and the consumer propensity analysis technology using the data management-based broadcasting contents distribution metadata technology and the edited image contents streaming technology. In addition, in the results of comparing with other platforms through the experiment, the performance superiority of the suggested platform was verified. If the suggested platform is applied to the areas of education, broadcasting, press, etc, the multi-media contents can be reproduced and distributed easily, through which the vitalization of contents-related industry is expected.

• Journal of the Korea Society of Computer and Information
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• v.26 no.12
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• pp.111-121
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• 2021

As the main carrier of information, digital image is becoming more and more important. However, with the popularity of image acquisition equipment and the rapid development of image editing software, in recent years, digital image counterfeiting incidents have emerged one after another, which not only reduces the credibility of images, but also brings great negative impacts to society and individuals. Image copy-paste tampering is one of the most common types of image tampering, which is easy to operate and effective, and is often used to change the semantic information of digital images. In this paper, a method to protect the authenticity and integrity of image content by studying the tamper detection method of image copy and paste was proposed. In view of the excellent learning and analysis ability of deep learning, two tamper detection methods based on deep learning were proposed, which use the traces left by image processing operations to distinguish the tampered area from the original area in the image. A series of experimental results verified the rationality of the theoretical basis, the accuracy of tampering detection, location and classification.