• Nuclear Engineering and Technology
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• v.51 no.4
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• pp.1098-1108
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• 2019

Korea's first commercial nuclear power plant at Kori site was permanently shut down in 2017 and is currently in transition stage. Preparatory activities for decommissioning such as historical site assessment, characterization, and dismantling design are being actively carried out for successful D&D (Dismantling and Decontamination) at Kori site. The ultimate goal of decommissioning will be to ensure the safety of workers and residents that may arise during the decommissioning of nuclear facilities and, thereby finally returning the site to its original status in accordance with the release criteria. Upon completion of decommissioning, the resident's safety at a site released will be assessed from the evaluation of dose caused by radionuclides expected to be present or detected at the site. Although the U.S. commercial nuclear power plants with decommissioning experience use different site release criteria, most of them are 0.25 mSv/y. In Korea, both the unrestricted and restricted release criteria have been set to 0.1 mSv/y by the Nuclear Safety and Security Commission. However, since the dose is difficult to measure, measurable concentration guideline levels for residual radionuclides that result in dose equivalent to the site release criteria should be derived. For this derivation, site reuse scenario, selection of potential radionuclides, and systematic methodology should be developed in planning stage of Kori site decommissioning. In this paper, for calculation of a preliminary site-specific Derived Concentration Guideline Levels (DCGLs) for the Nuclear Power Plant site, a novel approach has been developed which can fully reflect practical reuse plans of the Kori site by taking into account multiple site reuse scenarios sequentially, thereby striking a remarkable distinction with conventional approaches which considers only a single site scenario.

• Current Photovoltaic Research
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• v.2 no.4
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• pp.182-188
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• 2014

For the dissemination of new and renewable energy, Korean government introduced a renewable portfolio standard (RPS) scheme in 2012 after terminating feed-in tariff (FIT) scheme that was introduced in 2004. With the RPS scheme, 64.7% of its own goal (95.7% in PV and 63.3% in non-PV) was achieved in 2012 and 67.2% of that (94.9% in PV, 65% in non-PV) was achieved in 2013. The deployment of PV systems met the goal very well and that of non-PV did not. Recently, Korean government revised the target year of supplying 10% electricity from new and renewable energy from 2022 to 2024 and released a couple of measures on PV area. Recent studies showed that the bankability of a project plays a key role for PV dissemination. Therefore, the dissemination should be assessed from the point of bankability under the RPS scheme and a little adjustment is necessary to achieve the goal. Especially, installing a small size PV (<100 kwp) system needs a minimum REC price or a FIT scheme. In non-PV area, permission process is a common bottleneck and the related regulation should be eased. In addition, to achieve the long term goal, an implementing scenario has to be prepared. Currently, the portion of the waste-gas energy originated from fossil fuel is too large among the new and renewable energy sources and the portion should be lowered or eliminated in the 10% of electricity supply goal. Seoul Metropolitan Government (SMG) has its own FIT scheme for PV dissemination from 2014 SMG and revised the PV tariff from 50 to 100 won/kwh in effective of 2015. It is worth to spread the other provinces.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.14 no.6
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• pp.14-20
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• 2015

The Korea ministry of land, infrastructure and transport set the goal of cutting greenhouse gas emissions from the transport sector by 34.3% relative to the business as usual scenario by 2020. In order to achieve this goal, support is being given to education and information regarding eco-driving. As a practical measure, however, a vehicle control strategy for decreasing fuel consumptions and emissions is necessary. Therefore, this paper presents an optimized driving model in order to decrease fuel consumption. Scenarios were established by driving mode. The speed profile for each scenario applied to Comprehensive Modal Emission Model and then each fuel consumption was estimated. Scenarios and speed variation with the least fuel consumption were derived by comparing the fuel consumptions of scenarios. The optimized driving model was developed by the derived the results. The speed profiles of general driver were collected by field test. The speed profile of the developed model and the speed profile of general driver were compared and then fuel consumptions for each speed profile were analyzed. The fuel consumptions for optimized driving were decreased by an average of 11.8%.

• Journal of the Korea Society of Computer and Information
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• v.26 no.10
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• pp.61-76
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• 2021

Nowadays, a lot of educational TV programs have focused on the program providers' perspective, namely through goods-dominant (G-D) logic. However, the growing development of current technologies such as IPTV with AR and VR has opened opportunities to go beyond a provider-centered perspective and to add the co-creation of value, since value can be created through the interaction between learners and the TV programs themselves. With this in mind, learner-centered TV programs, which are based on service-dominant (S-D) logic, should be offered through educational TV channels. This conceptual paper summarizes, analyzes, and synthesizes the present status of IPTV in education and suggests a new instructional approach for utilizing TV in future education based on value co-creation through learner participation. Three principles (service-dominant logic as an educational service design principle, goal-based scenario for instructional design, IPTV as state-of-the-art technology innovation) are suggested for designing educational IPTV programs.

• Journal of the Korean Institute of Intelligent Systems
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• v.13 no.2
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• pp.192-199
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• 2003

Agents in multi-agent systems (MAS ) are required to achieve their own goals. An agent s goal, however, can conflict with others either when agents compete with each other to achieve a common goal or when they have to use a set of limited resources to accomplish agents divergent goals. In either case, agents need to be designed to reach a mutual acceptable state where they can avoid any goal conflicts through negotiation with others to achieve their goals. In this paper, we consider a BDI agent architecture where belief, desire, and intention are the three major components for agents mental attitudes and represent resource-bounded BDI agents in logic programming framework. We propose a negotiation algorithm for BDI agents solving their problems without goal conflicts in distributed cooperative environments. Finally, we describe a simple scenario to show the effectiveness of the negotiation algorithm implemented in a negotiation meta-language.

• The Journal of Korean Association of Computer Education
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• v.7 no.5
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• pp.9-21
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• 2004

In spite of the strong request that Internet, a new IT technique, should be extensively used in classroom settings, WBI is not still wide spread. One possible reason is that most WBIs developed so far are not qualitatively different from the traditional classroom ones and various design models for WBI are unknown. Developing a WBI program according to Goal-based Scenarios (GBS), a constructivistic instructional design model, this study offers a useful case for the design and development of WBI to educators and implementers. The program developed embodied seven important components of the GBS model. The development process also included needs assessment, task analysis, and learner and environment analysis, which are the basic components of the domain of instructional design. The GBS development case in this article will provide concrete guidelines to educational practitioners who have an intention to create a new type of WBI in schools as well as in corporate.

• Environmental and Resource Economics Review
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• v.24 no.2
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• pp.251-281
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• 2015

This paper examines the perceptions of sustainability, which is conceptualised as cross-generational social preferences, on the formation of international environmental agreements (IEAs) in a two-stage game in two periods. There are two scenarios are considered: myopic and sustainable development scenarios. The myopic scenario assumes the decision makers only concern the present welfare. Whilst the scenario of sustainable development has two characters: cross-generational fairness and altruism. When both are taken into account, a coalition will be expanded. The numerical example indicates that the marginal cost of the total emissions is the crucial factor for the formation of IEAs. Only when the marginal cost is low, a sustainable system can be succeeded. While, the technological advancement may lead to a more efficient production per unit of emissions, it also encourages countries to emit more in total and have a lower level of welfare. The results confirm the importance of sustainability to IEAs. The lesson learnt from this study is: when decision makers are myopic, the system is unsustainable even if an IEA is formed. Only when the perception of sustainability is considered, the system could be sustainable. Regardless of the existence of IEAs, international environmental conventions shall not neglect the fundamental goal to pursue sustainable development.

• Journal of Electrical Engineering and Technology
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• v.11 no.1
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• pp.47-54
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• 2016

Microgrids offer several reliability benefits, such as the improvement of load-point reliability and the opportunity for reliability-differentiated services. The primary goal of this work is to investigate the impacts of operating condition on the reliability index for microgrid system. It relies on a component failure rate model which quantifies the relationship between component failure rate and state variables. Some parameters involved are characterized by subjective uncertainty. Thus, fuzzy numbers are introduced to represent such parameters, and an optimization model based on Fuzzy Chance Constrained Programming (FCCP) is established for reliability index calculation. In addition, we present a hybrid algorithm which combines scenario enumeration and fuzzy simulation as a solution tool. The simulations in a microgrid test system show that reliability indices without considering operating condition can often prove to be optimistic. We also investigate two groups of situations, which include the different penetration levels of microsource and different confidence levels. The results support the necessity of considering operating condition for achieving accurate reliability evaluation.

• Journal of the Korean Institute of Gas
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• v.6 no.4 s.18
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• pp.53-58
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• 2002

In this research, the goal is to ascertain the potential danger when transporting hazardous material by considering the important elements that contribute to such situation, instead of relying on the quantitative risk assessment of fixed facilities. Also, this study will verify the social and personal risk according to damage zone limits, by applying the worst case scenario and the alternative scenario that occur during the transportation process. Moreover, it has selected the optimum transportation route for maximum safety. The result of this research could be used to construct a systematic emergency system that can minimize the damage from serious industrial accidents, by effectively decreasing the danger zone and forming a connection between the community, the society, and the industries according to such evaluations.

• Transactions on Electrical and Electronic Materials
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• v.18 no.6
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• pp.350-358
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• 2017

Recently, owing to increased interest in low-carbon energy supplies, renewable energy sources such as photovoltaics and wind turbines in distribution networks have received considerable attention for generating clean and unlimited energy. The presence of energy storage systems (ESSs) in the promising field of active distribution networks (ADNs) would have direct impact on power system problems such as encountered in probabilistic distributed generation (DG) model studies. Hence, the optimal procedure is offered herein, in which the simultaneous placement of an ESS, photovoltaic-based DG, and wind turbine-based DG in an ADN is taken into account. The main goal of this paper is to maximize the net present value of the loss reduction benefit by considering the price of electricity for each load state. The proposed framework consists of a scenario tree method for covering the existing uncertainties in the distribution network's load demand as well as DG. The collected results verify the considerable effect of concurrent installation of probabilistic DG models and an ESS in defining the optimum site of DG and the ESS and they demonstrate that the optimum operation of an ESS in the ADN is consequently related to the highest value of the loss reduction benefit in long-term planning as well. The results obtained are encouraging.