• The Journal of Asian Finance, Economics and Business
• /
• v.8 no.12
• /
• pp.337-343
• /
• 2021

The study's objective is to ascertain the state of the creative industry's market structure, the behavior of entrepreneurs ("conduct"), and the performance of the creative industry in Indonesia. Additionally, this study evaluates the relationship between structure, conduct, and performance within the context of the relationship between the three. This study analyzes longitudinal data from 2005 to 2015 for sub-sectors within the creative industry. The first step is to group statistical sub-sectors into creative-industry categories. The next step is to quantify and analyze the structure, behavior, and performance indicators of each creative industry subsector. Then, using a random effect panel data model, the relationship between structure and performance was estimated and examined. The findings of this study suggest that market share and concentration ratio calculations indicate that the creative industry in Indonesia has a monopolistic market structure. With this market framework, the creative industry's conduct can have an effect on prices. This is undoubtedly consistent with the features of the creative industry, which emphasize innovation as a means of adding value. The panel data estimation findings suggest the need for long-term efforts to maintain a market framework that enables businesses to compete fairly, innovate, and bring value.

• Journal of Computing Science and Engineering
• /
• v.6 no.3
• /
• pp.219-226
• /
• 2012

Recently, shape analysis of human organs has achieved much attention, owing to its potential to localize structural abnormalities. For a group-wise shape analysis, it is important to accurately restore the shape of a target structure in each subject and to build the inter-subject shape correspondences. To accomplish this, we propose a shape modeling method based on the Laplacian deformation framework. We deform a template model of a target structure in the segmented images while restoring subject-specific shape features by using Laplacian surface representation. In order to build the inter-subject shape correspondences, we implemented the progressive weighting scheme for adaptively controlling the rigidity parameter of the deformable model. This weighting scheme helps to preserve the relative distance between each point in the template model as much as possible during model deformation. This area-preserving deformation allows each point of the template model to be located at an anatomically consistent position in the target structure. Another advantage of our method is its application to human organs of non-spherical topology. We present the experiments for evaluating the robustness of shape modeling against large variations in shape and size with the synthetic sets of the second cervical vertebrae (C2), which has a complex shape with holes.

• The Journal of Information Systems
• /
• v.18 no.3
• /
• pp.135-154
• /
• 2009

As the knowledge is recognized as a core factor of organization's competitiveness and creation of value added, the importance of knowledge management is also increased. To achieve the successful knowledge management, it is important to establish strategy that consider essential purpose of knowledge management such as creating and sharing of knowledge resource, improving performance, and continuing organizational innovation within the organization and influence factor inside and outside of organization. Until now, however, the research for knowledge management strategy was mostly limited to the statistical analysis based on the unilinear causality model, and systematic access and analysis that consider interaction and feedback structure between factors. In this paper, we developed the novel decision-making framework for successful strategy establishment by applying the analytic network process(ANP). Specifically. we derive clusters and components to decide the interaction and feedback structure between the elements of knowledge management by literature studies. And we produced relative importance and preference of clusters, components and alternatives dealing with feedback structure through the survey of experts in the field or related one of knowledge management. In result of this study, we expect that it will help the knowledge officer to decide establishing knowledge management strategy.

• Journal of Korea Multimedia Society
• /
• v.8 no.5
• /
• pp.587-595
• /
• 2005

The vision for MPEG-21 is to define a multimedia framework to enable transparent and augmented use of multimedia resources across a wide range of networks and devices used by different communities MPEG-21 Event Reporting is required within the MPEG-21 Multimedia Framework in order to provide a standardized means for sharing information about Events amongst Peers and Users. There are several Time used in MPEG-21 Event Reporting. In this paper, we analyze and categorize various kinds of Time used in Event Reporting. And we define ERTimeType to be applied for every. Time used in Event Reporting and implement it by XML to support interoperability of standard. The ERTimeType structure we defined is established its objectivity as it is selected to 'ISO/IEC 21000-Part IS: Event Reporting WD 2.0'.

• Journal of the Korea Computer Graphics Society
• /
• v.25 no.3
• /
• pp.21-29
• /
• 2019

This paper proposes a novel framework for image fusion of satellite imagery to enhance spatial resolution of the image via structure-texture decomposition. The resolution of the satellite imagery depends on the sensors, for example, panchromatic images have high spatial resolution but only a single gray band whereas multi-spectral images have low spatial resolution but multiple bands. To enhance the spatial resolution of low-resolution images, such as multi-spectral or infrared images, the proposed framework combines the structures from the low-resolution image and the textures from the high-resolution image. To improve the spatial quality of structural edges, the structure image from the low-resolution image is guided filtered with the structure image from the high-resolution image as the guidance image. The combination step is performed by pixel-wise addition of the filtered structure image and the texture image. Quantitative and qualitative evaluation demonstrate the proposed method preserves spectral and spatial fidelity of input images.

• Proceedings of the Korea Society for Energy Engineering kosee Conference
• /
• 1998.10a
• /
• pp.3-8
• /
• 1998

The present work proposes the potential fuzzy framework, based on fuzzy set theory, for supporting decision-making problems, especially, selection problems of a best design in the area of nuclear energy system. The framework proposed is composed of the hierarchical structure module, the assignment module, the fuzzification module, and the defuzzification module. In the structure module, the relationship among decision objectives, decision criteria, decision sub-criteria, and decision alternatives is hierarchically structured. In the assignment module, linguistic or rank scoring approach can be used to assign subjective and/or vague values to the decision analyst's judgment on decision variables. In the fuzzification module, fuzzy numbers are assigned to these values of decision variables. Using fuzzy arithmetic operations, for each alternative, fuzzy preference index as a fuzzy synthesis measure is obtained. In the defuzzification module, using one of methods ranking fuzzy numbers, these indices are defuzzified to overall utility values as a cardinality measure determining final scores. According these values, alternatives of interest are ranked and an optimal alternative is chosen. To illustrate the applicability of the framework proposed to selection problem, as a case example, the best option choice of four design options under five decision criteria for primary containment wall thickening around large penetrations in an advanced nuclear energy system is studied.

• Computers and Concrete
• /
• v.32 no.3
• /
• pp.313-326
• /
• 2023

The seismic safety of the shear wall structure can be assessed through seismic fragility analysis, which requires high computational costs in estimating seismic demands. Accordingly, machine learning methods have been applied to such fragility analyses in recent years to reduce the numerical analysis cost, but it still remains a challenging task. Therefore, this study uses the ensemble machine learning method to present an improved framework for developing a more accurate seismic demand model than the existing ones. To this end, a rank-based selection method that enables determining an excellent model among several single machine learning models is presented. In addition, an index that can evaluate the degree of overfitting/underfitting of each model for the selection of an excellent single model is suggested. Furthermore, based on the selected single machine learning model, we propose a method to derive a more accurate ensemble model based on the bagging method. As a result, the seismic demand model for which the proposed framework is applied shows about 3-17% better prediction performance than the existing single machine learning models. Finally, the seismic fragility obtained from the proposed framework shows better accuracy than the existing fragility methods.

• Journal of the Korean earth science society
• /
• v.37 no.5
• /
• pp.309-322
• /
• 2016

This paper presents an analytical framework of Conceptual Understandings of Earth Systems (CUES) that shows a relationship between disciplinary knowledge of Earth systems and the specific thinking skills required to understand that knowledge. This framework is developed through an extensive literature review of students' and teachers' understandings of earth systems concepts and systems thinking in earth science context. This study first presents the categories of disciplinary knowledge of Earth systems, Earth System Knowledge (ESK). This study then illustrates a relationship between categories of ESK and the ontological categories (Matter, Process, Systems) that has been used to study students' conceptual understandings of Earth systems. Finally, this study presents the CUES framework to show the relationship between disciplinary knowledge and thinking skills. The implications of using this framework for curriculum development, assessment, and teacher education and ESS research are discussed.

• Journal of Korea Multimedia Society
• /
• v.19 no.4
• /
• pp.789-795
• /
• 2016

Analyze the Android game framework that can be apply to the Application development of new areas and suggest Document-View pattern of a design pattern, design that this applies the Android framework(DVAGF) for novice Game programming learner. Case of Snake game development through DVAGF is supporting modularity of the code, reusability and expandability that seems that the learners can easily understand the game programming basic structure. In addition, the Android framework (DVAGF) seems to provide a basis that can be easily extended to 2D and 3D games.

• Journal of information and communication convergence engineering
• /
• v.9 no.1
• /
• pp.50-54
• /
• 2011

Recently there are so many media contents created and used by variety routes. Therefore, it is essential to make a new platform which is used for distributing media contents include IPTV. With open IPTV service, developing the new platform became even more important. Because open IPTV makes it possible for consumers to choose contents regardless of contents of the providers. The new platform has to accept current variety service structure. MPEG-21 multimedia framework was developed to satisfy these needs. It presented the distribution framework of the contents but didn't restrict the particular solutions for protecting the rights. In this paper, we present authoring and consuming system for package contents based on MPEG-21 Multimedia Framework for distributing media resources and managing the license of multimedia contents