• Nuclear Engineering and Technology
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• v.49 no.5
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• pp.896-904
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• 2017

Several Generation IV nuclear reactor concepts have goals for optimizing investment recovery through phased introduction of multiple units on a common site with shared facilities and/or reconfigurable energy conversion systems. Additionally, small modular reactors are suitable for remote deployment to support highly localized microgrids in isolated, underdeveloped regions. The long-term economic viability of these advanced reactor plants depends on significant reductions in plant operations and maintenance costs. To accomplish these goals, intelligent control and diagnostic capabilities are needed to provide nearly autonomous operations with anticipatory maintenance. A nearly autonomous control system should enable automatic operation of a nuclear power plant while adapting to equipment faults and other upsets. It needs to have many intelligent capabilities, such as diagnosis, simulation, analysis, planning, reconfigurability, self-validation, and decision. These capabilities have been the subject of research for many years, but an autonomous control system for nuclear power generation remains as-yet an unrealized goal. This article describes a functional framework for intelligent, autonomous control that can facilitate the integration of control, diagnostic, and decision-making capabilities to satisfy the operational and performance goals of power plants based on multimodular advanced reactors.

• Journal of information and communication convergence engineering
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• v.9 no.6
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• pp.775-779
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• 2011

As the technology of multimedia sensor networks is desired in large numbers of applications nowadays, real-time service becomes one of the most important research challenges. Even though lots of related works have been conducted to meet this requirement in several ways, the specific traffic model for real-time has not been taken yet. Thus, it causes lack of adaptability of those approaches in real deployment. To solve this problem, in this paper, we model the application via (m,k)-firm streams which have weakly hard real-time property. And then, a novel forwarding scheme based on modified DBP (Distance-Based Priority) is proposed by considering local-DBP and stream DBP together. Local-DBP can contribute to identify the detailed causes of unsatisfied quality, that is, network congestion or wireless link failure. Simulation results reveal that (m,k)-firm is a good traffic model for multimedia sensor networks and the proposed scheme can contribute to guarantee real-time requirement well.

• Journal of the Korean Society of Systems Engineering
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• v.5 no.1
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• pp.49-56
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• 2009

This research attempts to acquire technical performance measure information based on identifying the Critical To Quality(CTQ) parameters of user requirement by using Quality Function Deployment(QFD) methodology in the initial phase of a defense R&D project. This results will contribute to the integration of technical progress to the Work Breakdown Structure(WBS) based project performance tracking. It also improve the bridging of systems engineering activities to the project management and the project decision making process.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2009.05a
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• pp.817-821
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• 2009

The crisis also complicated where deployment aspects the interaction of several factors, as well as, It is hard to knows anytime anywhere to raise. Therefore, in fact, it is impossible to prepare that accurately predict all the crisis. This research organization to maintain the stable activity from crisis that it is presented to crisis management system and Risk-based Decision Making Process.

• International journal of advanced smart convergence
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• v.12 no.4
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• pp.126-133
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• 2023

Recent advancements in cloud service virtualization technologies have witnessed a shift from a Virtual Machine-centric approach to a container-centric paradigm, offering advantages such as faster deployment and enhanced portability. Container orchestration has emerged as a key technology for efficient management and scheduling of these containers. However, with the increasing complexity and diversity of heterogeneous workloads and service types, resource scheduling has become a challenging task. Various research endeavors are underway to address the challenges posed by diverse workloads and services. Yet, a systematic approach to container orchestration for effective cloud management has not been clearly defined. This paper proposes the DRA-Engine (Dynamic Resource Allocation Engine) for resource scheduling in container orchestration. The proposed engine comprises the Request Load Procedure, Required Resource Measurement Procedure, and Resource Provision Decision Procedure. Through these components, the DRA-Engine dynamically allocates resources according to the application's requirements, presenting a solution to the challenges of resource scheduling in container orchestration.

• The Journal of Society for e-Business Studies
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• v.13 no.3
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• pp.173-188
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• 2008

While many success stories are reported in the area of RFID applications, actual RFID deployments in industry are being realized a lot slower than expected. One of the main reasons for that is the lack of decision makers' understanding on the RFID ROI. In this research we drew a comprehensive list of cost and benefit items regarding RFID deployments especially for distribution and retail industry. In addition, we mapped these cost/benefit items to corresponding SCOR processes so that users can easily utilize the suggested cost-benefit analysis model when they want to improve their own processes using the RFID technology. The developed cost-benefit analysis model was implemented as a software tool for convenient use. Our research results can be used not only for those who want to evaluate the RFID technology prior to actual deployment but also by the researchers in this area.

• Clean Technology
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• v.23 no.1
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• pp.15-26
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• 2017

The recycling process of ELV consists of three phases: dismantling, shredding and ASR treatment. Dismantling is the collection of reusable parts and the most important phase. The types of dismantling system is diverse and each country has different characteristics. Therefore, the selection of a suitable ELV dismantling system for a target country is dependent on the characteristics of each country. But the characteristics of country data changes every year and is insufficient and ambiguous. In this study, fuzzy inference and modified QFD (Quality function deployment) methods are utilized to solve the problems. The fuzzification of characteristics data for each country, customized rules and decision of modified QFD matrix are developed, which is applied to sample countries.

• Journal of Energy Engineering
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• v.16 no.3
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• pp.128-148
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• 2007

Quality assurance (QA) for nuclear R&D project is very concerned about the poor economy due to the improper selection of QA requirements. This paper proposes a new methodology for determining the relative importance weights of QA requirements considering the attributes of nuclear R&D project. QFD (Quality Function Deployment) is used as a conceptual framework and fuzzy number is introduced to capture the vagueness uncertainty existing in human judgement. Also we use a confidence attitude of decision-maker in order to improve the reliability of extracted attribute level of R&D project. Case study on a nuclear R&D project and scenario analysis are carried out to verify the usefulness and effectiveness of proposed methodology.

• Spatial Information Research
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• v.19 no.6
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• pp.111-121
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• 2011

In this paper, we proposes a sensor node positioning algorithm that utilizes the geo-spatial elements and considers the factors to represent the propagation loss generated by the various obstacles in the urban wireless environments. First, we measures the propagation loss about the radio frequencies in major road of the urban, and defines the correlation between the measured loss and the environment information for the road and its surrounding get from Urban GIS. Secondly, through the utilization of the loss-environment correlation, we describes the detailed instruction for requiring the radio coverage decision and deploy system implementation for the wireless sensor node in urban. By the consideration of interference factor by the building and the linear structure of road, we can evaluate the path loss below 5dB RMS error. And, we proposes the way to revise the sensor node deployment based on the corelation and the measured path loss.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.46 no.4
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• pp.246-262
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• 2023

The purpose of this study is to identify the major peacekeeping activities that the Korean armed forces has performed from the past to the present. To do this, we collected 692 press releases from the National Defense Daily over the past 20 years and performed topic modeling and social network analysis. As a result of topic modeling analysis, 112 major keywords and 8 topics were derived, and as a result of examining the Korean armed forces's peacekeeping activities based on the topics, 6 major activities and 2 related matters were identified. The six major activities were 'Northeast Asian defense cooperation', 'multinational force activities', 'civil operations', 'defense diplomacy', 'ceasefire monitoring group', and 'pro-Korean activities', and 'general troop deployment' related to troop deployment in general. Next, social network analysis was performed to examine the relationship between keywords and major keywords related to topic decision, and the keywords 'overseas', 'dispatch', and 'high level' were derived as key words in the network. This study is meaningful in that it first examined the topic of the Korean armed forces's peacekeeping activities over the past 20 years by applying big data techniques based on the National Defense Daily, an unstructured document. In addition, it is expected that the derived topics can be used as a basis for exploring the direction of development of Korea's peacekeeping activities in the future.