• International Journal of CAD/CAM
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• v.9 no.1
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• pp.111-120
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• 2010

In this paper, we propose a volume rendering method using grid computing for large-scale volume data. Grid computing is attractive because medical institutions and research facilities often have a large number of idle computers. A large-scale volume data is divided into sub-volumes and the sub-volumes are rendered using grid computing. When using grid computing, different computers rarely have the same processor speeds. Thus the return order of results rarely matches the sending order. However order is vital when combining results to create a final image. Job-Scheduling is important in grid computing for volume rendering, so we use an obstacle-flag which changes priorities dynamically to manage sub-volume results. Obstacle-Flags manage visibility of each sub-volume when line of sight from the view point is obscured by other subvolumes. The proposed Dynamic Job-Scheduling based on visibility substantially increases efficiency. Our Dynamic Job-Scheduling method was implemented on our university's campus grid and we conducted comparative experiments, which showed that the proposed method provides significant improvements in efficiency for large-scale volume rendering.

• Journal of the Korea Safety Management & Science
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• v.12 no.2
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• pp.167-172
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• 2010

EPCIS(EPC Information Service) system is a core component of EPCglobal Architecture Framework offering information of the freights, the time of awareness and the location of awareness on the EPCglobal Network. EPCIS Repository continuously stores and manages mass EPCIS Event input data from a great number of RFID devices simultaneously. The Hybrid DBMS can deal efficiently mass necessary data. This study suggest the plan which can efficiently manage EPCIS Repository using Hybrid DBMS. We offer three schema and stores EPCIS Event data to Altibase DB that can efficiently manage EPCIS Repository using Hybrid DBMS and compare the performance about three schema through simulations.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.47 no.2
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• pp.21-29
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• 2024

Fueled by international efforts towards AI standardization, including those by the European Commission, the United States, and international organizations, this study introduces a AI-driven framework for analyzing advancements in drone technology. Utilizing project data retrieved from the NTIS DB via the "drone" keyword, the framework employs a diverse toolkit of supervised learning methods (Keras MLP, XGboost, LightGBM, and CatBoost) enhanced by BERTopic (natural language analysis tool). This multifaceted approach ensures both comprehensive data quality evaluation and in-depth structural analysis of documents. Furthermore, a 6T-based classification method refines non-applicable data for year-on-year AI analysis, demonstrably improving accuracy as measured by accuracy metric. Utilizing AI's power, including GPT-4, this research unveils year-on-year trends in emerging keywords and employs them to generate detailed summaries, enabling efficient processing of large text datasets and offering an AI analysis system applicable to policy domains. Notably, this study not only advances methodologies aligned with AI Act standards but also lays the groundwork for responsible AI implementation through analysis of government research and development investments.

• Journal of KIISE:Software and Applications
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• v.30 no.3_4
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• pp.219-230
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• 2003

Motion capture technology is widely used to make a realistic motion in these days. So, motion capture data is required to exchange between many animators in a work group. But different motion capture devices have different motion rapture data formats. Thus it is difficult that a animator reuse and exchange motion capture data in a storage. In this paper, we proposes a standard format for integrating a different motion capture data format. In addition, we proposes a framework of a system that manage motion capture data using our standard format. Our standard format is called MCML(Motion Capture Markup Language). It is a markup language for motion capture data and based on XML(extensable Markup Language). Our system to manage motion capture data consists of a several component - MCML Converter, MCML , MCML Editor, Motion Viewer.

• Journal of KIISE:Databases
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• v.31 no.6
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• pp.567-584
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• 2004

As XML becomes popular as the way of presenting information on the web, how to secure XML data becomes an important issue. So far study on XML security has focused on security of data communications by using digital sign or encryption technology. But, it now requires not just to communicate secure XML data on communication but also to manage query process to access XML data since XML data becomes more complicated and bigger. We can manage XML data queries by access control technique. Right now current XML data access control only deals with read operation. This approach has no option to process update XML queries. In this paper, we present XML access control model and technique that can support both read and update operations. In this paper, we will propose the operation for XML document update. Also, We will define action type as a new concept to manage authorization information and process update queries. It results in both minimizing access control steps and reducing memory cost. In addition, we can filter queries that have no access rights at the XML data, which it can reduce unnecessary tasks for processing unauthorized query. As a result of the performance evaluation, we show our access control model is proved to be better than other access control model in update query. But it has a little overhead to decide action type in select query.

• Korean Journal of Clinical Pharmacy
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• v.24 no.1
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• pp.33-38
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• 2014

Background: Diabetes is accompanied by complications. One of the chronic complications, diabetic retinopathy is the most common cause of the loss of eyesight and thus has enormous impacts on the quality of life to the patients. It has been reported that thorough glucose regulation can prevent or postpone the outset of diabetic retinopathy in diabetic patients and that the patients who received anti-diabetic manage & care education would be capable of more thorough glucose-level regulation than those who did not. Method: This study set out to investigate the current state of education on anti-diabetic manage & care in South Korea and connections between anti-diabetic manage & care education and occurrence of diabetic retinopathy in diabetic patients based on the Korea National Health and Nutrition Examination Survey of 2011. Results: Of the 410 diabetes patients, 74 received anti-diabetic manage & care education, which means that only 15% of diabetic patients benefited from the education in the nation. The occurrence rate of diabetic retinopathy was 28% in the education group and 24% in the non-education group with no significant differences between them. The anti-diabetic manage & care education group recorded a higher occurrence rate of diabetic retinopathy, one of the chronic diabetic complications, than the non-education group contrary to the hypothesis. One of the reasons was that the educated group had a significantly longer duration of diabetes and significantly higher HbA1c than the noneducated group, which indicates that anti-diabetic manage & care education is provided to those who have progressed farther along the course of diabetes instead of the early stage and cannot regulate their glucose-level well in the nation. Conclusion: Those findings raise a need for active educational policies in order to provide anti-diabetic manage & care education under the goals of preventing complications through anti-diabetic education for many patients in early stages of diabetes.

• CDE review
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• v.9 no.3
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• pp.31-35
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• 2003

Product Data Management(PDM) is a tool that helps engineers and others manage both data and the product development process. Now a day, automotive industry is interested in PDM for their product's quality and cost. In this study, we introduce about samlip PDM construction instance. This case explains the demanded function of PDM and the detail implementation methodology for automotive company.

• IE interfaces
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• v.7 no.3
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• pp.227-237
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• 1994

In this study, graphic environment for system monitoring is designed that can efficiently manage monitoring data. And also system informations are inplemented to database for reliability and a utility management software is developed to monitor systems on graphic environment and RDBMS (Relational DataBase Management System). Specially, system status informations are presented in the forms of animation, graph, value, icon, and voice message. Status data and general basic informations of system can be all the times updated and indexly reported on database.

• Journal of Fashion Business
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• v.7 no.5
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• pp.32-44
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• 2003

In apparel industry, the worksheet or product specification document has the function of products design. Drawing up worksheet exactly is important to quality control of apparel products. Every company needs to manage the product data of design-centric to establish TQM environment. In order to control the quality data of design-centric, an apparel worksheet system was developed by using the function of product data management system.

• Journal of KIISE:Databases
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• v.31 no.1
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• pp.1-12
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• 2004

As network systems are developed rapidly and network architectures are more complex than before, it needs to use PBNM(Policy-Based Network Management) in network system. Generally, architecture of the PBNM consists of two hierarchical layers: management layer and enforcement layer. A security policy server in the management layer should be able to generate new policy, delete, update the existing policy and decide the policy when security policy is requested. And the security policy server should be able to analyze and manage the alert messages received from Policy enforcement system in the enforcement layer for the available information. In this paper, we propose an alert analyzer using data mining. First, in the framework of the policy-based network security management, we design and implement an alert analyzes that analyzes alert data stored in DBMS. The alert analyzer is a helpful system to manage the fault users or hosts. Second, we implement a data mining system for analyzing alert data. The implemented mining system can support alert analyzer and the high level analyzer efficiently for the security policy management. Finally, the proposed system is evaluated with performance parameter, and is able to find out new alert sequences and similar alert patterns.