• Journal of Korean society of Dental Hygiene
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• v.23 no.4
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• pp.295-302
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• 2023

Objectives: In this study, existing knowledge and needs of childcare teachers for developing oral health education plans for infants and young children were investigated. Methods: From March to April 2023, an online questionnaire survey led to the collection of data from 150 childcare teachers. Data were analyzed using the SPSS 22.0 program. Results: Importance-Performance Analysis (IPA) revealed that importance and knowledge of oral health education, importance of oral health, and prevention of oral diseases were priority areas, and treatment, symptoms, and causes were priority areas that needed improvement . According to the IPA on the importance of and demand for oral health education support, the importance and demand for an educational plan were both high. Expert education based on educational goals, information sharing, educational environment support, evaluation system, and monitoring was low in importance but high in demand. Conclusions: Oral care habits during infancy are important for maintaining oral health throughout life. Oral care practice should be improved by developing an oral health education plan for childcare teachers to implement.

• International conference on construction engineering and project management
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• 2022.06a
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• pp.245-252
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• 2022

Risk identification for bridge projects is a knowledge-based and labor-intensive task involving several procedures and stakeholders. Presently, risk information of bridge projects is unstructured and stored in different sources and formats, hindering knowledge sharing, reuse, and automation of the risk identification process. Consequently, there is a need to develop structured and formalized risk information for bridge projects to aid effective risk identification and automation of the risk management processes to ensure project success. This study proposes a semantic risk breakdown structure (SRBS) to support risk identification for bridge projects. SRBS is a searchable hierarchical risk breakdown structure (RBS) developed with python programming language based on a semantic modeling approach. The proposed SRBS for risk identification of bridge projects consists of a 4-level tree structure with 11 categories of risks and 116 potential risks associated with bridge projects. The contributions of this paper are threefold. Firstly, this study fills the gap in knowledge by presenting a formalized risk breakdown structure that could enhance the risk identification of bridge projects. Secondly, the proposed SRBS can assist in the creation of a risk database to support the automation of the risk identification process for bridge projects to reduce manual efforts. Lastly, the proposed SRBS can be used as a risk ontology that could aid the development of an artificial intelligence-based integrated risk management system for construction projects.

• The Journal of the Convergence on Culture Technology
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• v.9 no.5
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• pp.597-603
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• 2023

The paradigm of military operations has evolved from platform-centric warfare to network-centric warfare and further to information-centric warfare, driven by advancements in information technology. In recent years, with the development of cutting-edge technologies such as big data, artificial intelligence, and the Internet of Things (IoT), military operations are transitioning towards knowledge-centric warfare (KCW), based on artificial intelligence. Consequently, the military places significant emphasis on integrating advanced information and communication technologies (ICT) to establish reliable C4I (Command, Control, Communication, Computer, Intelligence) systems. This research emphasizes the need to apply data mining techniques to analyze and evaluate various aspects of C4I systems, including enhancing combat capabilities, optimizing utilization in network-based environments, efficiently distributing information flow, facilitating smooth communication, and effectively implementing knowledge sharing. Data mining serves as a fundamental technology in modern big data analysis, and this study utilizes it to analyze real-world cases and propose practical strategies to maximize the efficiency of military command and control systems. The research outcomes are expected to provide valuable insights into the performance of C4I systems and reinforce knowledge-centric warfare in contemporary military operations.

• Journal of Digital Convergence
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• v.6 no.4
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• pp.83-90
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• 2008

When small organizations construct and operate Knowledge Management System(KMS), there exists inefficiency in employee participation and system usage. In recent years, web itself is evolving into web 2.0. And It is crucial to utilize web 2.0 characteristics into KMS. The problems in the original version of KMS(KMS 1.0) is as follows. KMS is separated from Offline and electronic work processing systems. Even information in the electronic work processing system cannot be accessed by employees of other divisions in the same organization. Now web 2.0 environment provides more enhanced user participation and information sharing. It also reinforces KMS 1.0 into KMS 2.0. Small organizations should take advantage of web 2.0 environment and construct the better version KMS of its own with low-cost and high-efficiency.

• Journal of Computing Science and Engineering
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• v.8 no.4
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• pp.181-186
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• 2014

Web data mining aims at discovering useful knowledge from various Web resources. There is a growing trend among companies, organizations, and individuals alike of gathering information through Web data mining to utilize that information in their best interest. In science, cloud computing is a synonym for distributed computing over a network; cloud computing relies on the sharing of resources to achieve coherence and economies of scale, similar to a utility over a network, and means the ability to run a program or application on many connected computers at the same time. In this paper, we propose a new system framework based on the Hadoop platform to realize the collection of useful information of Web resources. The system framework is based on the Map/Reduce programming model of cloud computing. We propose a new data mining algorithm to be used in this system framework. Finally, we prove the feasibility of this approach by simulation experiment.

• Journal of the Korean Data and Information Science Society
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• v.22 no.5
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• pp.989-998
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• 2011

Cloud computing provides computation, software, data access, and storage services that do not require end-user knowledge of the physical location and configuration of the system that delivers the services. Cloud computing providers have setup several data centers at different geographical locations over the Internet in order to optimally serve needs of their customers around the world. One of the fundamental challenges in geographically distributed clouds is to provide efficient algorithms for supporting inter-cloud data management and dissemination. In this paper, we propose a group quorum system (GQS)-based dissemination for improving the interoperability of inter-cloud in time-critical event dissemination service, such as computing policy updating, message sharing, event notification and so forth. The proposed GQS-based method organizes these distributed clouds into a group quorum ring overlay to support a constant event dissemination latency. Our numerical results show that the GQS-based method improves the efficiency as compared with Chord-based and Plume methods.

• Journal of Korea Spatial Information System Society
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• v.2 no.2 s.4
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• pp.117-126
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• 2000

As the geographical information changes continuously, it has been difficult to manage it in consistent manner. Especially different terminologies are often used for describing the same object. These characteristics of geographical information make the information search be very unproductive. Recently, it is widely recognized that capturing more knowledge is the next step to overcome the current difficulties on sharing geographical information. In this paper, we utilize the ontology concept in order to facilitate information search for geographical data in the internet environment. A prototype of search system implemented using the ontology for river-related data is presented.

• Proceedings of the Korea Society for Industrial Systems Conference
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• 2008.10b
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• pp.129-136
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• 2008

When small organizations construct and operate Knowledge Management System (KMS), there exists inefficiency in employee participation and system usage. In recent years, web itself is evolving into web 2.0. And It is crucial to utilize web 2.0 characteristics into KMS. The problems in the original version of KMS(KMS 1.0) is as follows. KMS is separated from Offline and electronic work processing systems. Even information in the electronic work processing system cannot be accessed by employees of other divisions in the same organization. Now web 2.0 environment provides more enhanced user participation and information sharing. It also reinforces KMS 1.0 into KMS 2.0. Small organizations should take advantage of web 2.0 environment and construct the better version KMS of its own with low-cost and high-efficiency.

• Journal of the Korea Society for Simulation
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• v.6 no.2
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• pp.31-44
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• 1997

In medical applications, the cooperation work using computer network is in the spotlight as next generation technology, because it offers sharing of equipments, knowledge of specialists, and data and surmounts the limitations of geographical position and time. We present a prototype of telepresent surgical simulation system in this treatise. It is a telemedicine system using volume image, which is reconstructed from radiological images such as MRI and CT. It is used as a tool for surgical simulation among telepresent doctors. It provides the functions of conference control, volume reconstruction and manipulation, and multimedia database management among one server and multi-clients through high-speed network. It is implemented on Unix workstation using X-windows and C language, TCP/IP protocol and UNiSQL as DBMS.

• Proceedings of the KIEE Conference
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• 1996.11a
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• pp.323-325
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• 1996

The design of Intelligent Energy Saving Power System Controller (IESPSC) for Telecom DC power plants is proposed and presented in this paper. From the past experience. rectifiers for Telecom DC power plants have been operated inefficiently at light loads. IESPSC offers "novel load sharing" approach based on the knowledge of each unit's efficiency of paralleled rectifiers. Neural networks is used for identifying each rectifier's efficiency characteristic curve corresponding to load currents, which is in turn utilized to produce a system efficiency close to the maximum under all operating conditions. In addition, by limiting the number of operating units to the minimum while maintaining high efficiency at the determined loads, a drastic savings in operating cost can be achieved.