• Smart Media Journal
• /
• v.7 no.1
• /
• pp.9-15
• /
• 2018

As an organization or organization grows in size, many different types of data are being generated in different systems. There is a need for a way to improve efficiency by processing data smarter in different systems. Just like DataLake, we are creating a single domain model that accurately describes the data and can represent the most important data for the entire business. In order to realize the benefits of a DataLake, it is import to know how a DataLake may be expected to work and what components architecturally may help to build a fully functional DataLake. DataLake components have a life cycle according to the data flow. And while th data flows into a DataLake from the point of acquisition, its meta-data is captured and managed along with data traceability, data lineage, and security aspects based on data sensitivity across its life cycle. According to this reason, we have designed the DataLake Framework based on Abyss Storage Cluster.

• Proceedings of the Korean Society of Surveying, Geodesy, Photogrammetry, and Cartography Conference
• /
• 2004.04a
• /
• pp.329-335
• /
• 2004

Until now, The our concept about a national geospatial data infrastructure have been concentrated on a field of producer. This concept is the trend which the focus have been inverted currently with the use to process data in an user viewpoint and to the compatibility of the database. But the standard of our national framework data is defective yet. Also, The law and policy are not clear and the concept recognition of users lacks. This paper is showed improvement plan of development and maintenance of the national framework data, and researched the relationship between the national framework data.

• Journal of Korean Society of Industrial and Systems Engineering
• /
• v.31 no.4
• /
• pp.66-76
• /
• 2008

In medium-sized enterprises that comprise of multiple business branches and companies, various types of information systems are constructed and operated. One of the difficult problems these enterprises face is that integrated information cannot be delivered due to loosely managed mater data. This paper proposes an effective master data management framework for these enterprises. The framework is designed after comparing a tightly controlled centralization model with a coordinated centralization model. Through a case study on a customer master data integration project, the practicality of the framework is explored.

• Smart Media Journal
• /
• v.7 no.3
• /
• pp.57-63
• /
• 2018

With many types of data generated in the shift of business environment as a result of growth of an organization or enterprise, there is a need to improve the data-processing efficiency in smarter means with a single domain model such as Data Lake. In particular, creating a logical single domain model from physical partitioned multi-site data by the finite resources of nature and shared economy is very important in terms of efficient operation of computing resources. Based on the advantages of the existing Data Lake framework, we define the CDA-Concept (connected data architecture concept) and functions of Data Lake Framework over Abyss Storage for integrating multiple sites in various application domains and managing the data lifecycle. Also, it performs the interface design and validation verification for Interface #2 & #3 of the connected data architecture-concept.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
• /
• v.24 no.1
• /
• pp.79-88
• /
• 2006

The facility area occupies approximately 50% of the topographic landmarks playing an important role in the utilization of geographical information in various fields, and requires more up-to-date information than the framework data of other areas. However, the expression mode in the 1:5000 digital map, which is a primitive data used for the preparation of framework data in the facility area, limits the description of the information on buildings, and its revision/renewal term of 5 years makes it far from up-to-date or accurate. Therefore, this study aimed to analyze the problems and quality deteriorating factors that may occur in establishing the framework data on the basis of existing establishment process of them in the facility area, and improve the qualify of the framework data in facility area by upgrading the methods of quality improvement. Expanding the information on attributes and improving the accuracy of locations were proposed as ways to increase the degree of utilization of the framework data in the facility area. And as the methods of expanding the information on attributes, it was proposed to improve the accuracy of the information on attributes for the framework data in the facility area using the information on attributes in the 1:1000 scale maps, and also to diversify the information on attributes in connection with the LMIS and AIS. To improve the accuracy of the locations, analyses were made with the potential problems that may occur in the establishment process through an experiment on the framework data in the facility area based on 1:1,000 digital map, and the results were used to present an improved, optimum process.

• The Journal of the Institute of Internet, Broadcasting and Communication
• /
• v.15 no.4
• /
• pp.153-159
• /
• 2015

With information technology and health care, efficient health data management provides various health services. Health data from hospitals patients and healthy persons use stacked up enables to trace health condition and to manage health effectively and to reduce healthcare cost. In this paper, we design and implement a framework for relaying health data from various hospitals to cloud storage for manage health condition. For efficient authentication of the framework with cloud storage, OAuth2 protocal is adopted. The proposed health data relay framework can be used for developing various health services with the stacked data in the cloud storage.

• The Journal of Korea Robotics Society
• /
• v.19 no.2
• /
• pp.203-212
• /
• 2024

Simultaneous motion is essential in the activities of daily living (ADL). For motion intention recognition, surface electromyogram (sEMG) and corresponding motion label is necessary. However, this process is time-consuming and it may increase the burden of the user. Therefore, we propose a simultaneous motion recognition framework using data augmentation based on muscle activation model. The model consists of multiple point sources to be optimized while the number of point sources and their initial parameters are automatically determined. From the experimental results, it is shown that the framework has generated the data which are similar to the real one. This aspect is quantified with the following two metrics: structural similarity index measure (SSIM) and mean squared error (MSE). Furthermore, with k-nearest neighbor (k-NN) or support vector machine (SVM), the classification accuracy is also enhanced with the proposed framework. From these results, it can be concluded that the generalization property of the training data is enhanced and the classification accuracy is increased accordingly. We expect that this framework reduces the burden of the user from the excessive and time-consuming data acquisition.

• ETRI Journal
• /
• v.43 no.1
• /
• pp.53-63
• /
• 2021

Cloud computing has drastically reduced the price of computing resources through the use of virtualized resources that are shared among users. However, the established large cloud data centers have a large carbon footprint owing to their excessive power consumption. Inefficiency in resource utilization and power consumption results in the low fiscal gain of service providers. Therefore, data centers should adopt an effective resource-management approach. In this paper, we present a novel load-balancing framework with the objective of minimizing the operational cost of data centers through improved resource utilization. The framework utilizes a modified genetic algorithm for realizing the optimal allocation of virtual machines (VMs) over physical machines. The experimental results demonstrate that the proposed framework improves the resource utilization by up to 45.21%, 84.49%, 119.93%, and 113.96% over a recent and three other standard heuristics-based VM placement approaches.

• Journal of Computing Science and Engineering
• /
• v.5 no.4
• /
• pp.331-337
• /
• 2011

Recently, Virtual Desktop Infrastructure (VDI) has been widely adopted to ensure secure protection of enterprise data and provide users with a centrally managed execution environment. However, user experiences may be restricted due to the limited functionalities of thin clients in VDI. If thick client devices like laptops are used, then data leakage may be possible due to malicious software installed in thick client mobile devices. In this paper, we present Data Firewall, a security framework to manage and protect security-sensitive data in thick client mobile devices. Data Firewall consists of three components: Virtual Machine (VM) image management, client VM integrity attestation, and key management for Protected Storage. There are two types of execution VMs managed by Data Firewall: Normal VM and Secure VM. In Normal VM, a user can execute any applications installed in the laptop in the same manner as before. A user can access security-sensitive data only in the Secure VM, for which the integrity should be checked prior to access being granted. All the security-sensitive data are stored in the space called Protected Storage for which the access keys are managed by Data Firewall. Key management and exchange between client and server are handled via Trusted Platform Module (TPM) in the framework. We have analyzed the security characteristics and built a prototype to show the performance overhead of the proposed framework.

• Journal of Korean Academy of Nursing Administration
• /
• v.18 no.2
• /
• pp.222-233
• /
• 2012

Purpose: This study was conducted to develop an evaluation framework for QI activity in medical institutions and to analyze QI activity cases by applying the developed evaluation framework. Method: A four-phase process was employed to develop the evaluation framework, and a descriptive survey was used for the QI case study. Data were collected in April, 2010 by examining 157 QI activity cases presented at conferences and published in Journal of Korean Society of Quality Assurance in Health Care over the past three years. Developed QI activity evaluation instruments were used for data collection. Data were analyzed using the SPSS 18.0 for Windows program. Result: A QI Activity Evaluation Framework was developed. This framework consisted of 45 items. The department with the highest level of QI participation was the nursing department. The most frequent QI activity theme was patient safety. QI activity levels in Korean medical institutions are relatively equalized without significant differences according to institution characteristics. Conclusions: From the quality aspect of QI activity, more systematic and scientific approaches are required to upgrade QI activity. This study could provide methodological guidelines for QI activity and be useful in setting goals and directions for QI activity in medical institutions in Korea.