• Proceedings of the KIEE Conference
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• 2007.07a
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• pp.770-771
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• 2007

Wind power plant is based on the wind energy so the active power is frequently changed and connected to grid according with wind condition. These characteristics are bed effect to distribution line. On this reserch, we want to analyze the quality of electric power synchro/asynchronous generation system in Dae Kwan Ryung wind farm. The contents of analysis are active/reactive power variation and total demand distortion and transiency and sag/swell phenomena. we hope this research can contribute to the power quality improvement.

• Journal of the Korean Home Economics Association
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• v.32 no.1
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• pp.1-18
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• 1994

The purpose of this study is to find the differences between the husband's and wife's satisfaction of home life. This study is also to compare and analyze some empirical influence on life satisfaction of husband and wife according to home socio-demographic variables and subjective evaluation of economic level including their perception levels of home economics circumstance. The major results are as follows; 1. The husband's score of life satisfaction shows signifcantly more than wife's score that is his score is 3.36 and her score is 3.19. 2. The variables which affect couple's life satisfaction are the perception of resource adequacy the perception of the adequacy of household income, the evaluation level of resource contribution and the perception of level of living relative to others. The most influential variable of the husband is the perception of resource adequacy, while the most influential variable of the sife is the evaluation level of resource contribution. 3. The result of the relative contribution for the variables of life satisfaction are as follows. The explanation of husband's sociodemographic variable is 11.5% if variable of subjective evaluation of economic level is added the explain power is 34.1%(increase, 22.6% (p<0.001)) The explanation of wife's socio-demographic variable is 9.8% If variable of subjective evaluation of economic level is added the explanation is 41.2% (increase 31.4% (p<0.001)).

• Journal of Korean Institute of Industrial Engineers
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• v.35 no.2
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• pp.178-184
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• 2009

The Nuclear Power Plant(NPP) industry in Korea has been making efforts to reduce the human errors which have largely contributed to about 150 nuclear reactor trips since 2001. Recently, the Crew Resource Management(CRM) training has risen as an alternative countermeasure against the nuclear reactor trips caused by human errors. The effectiveness of CRM training in NPP industry, however, has not been proven to be significant yet. In this study a return on investment(ROI) model is developed to measure the effectiveness of CRM training for the operators in Korean NPP. The model consists of mathematical expressions including multiple variables affecting the CRM training impacts and nuclear reactor trips. Implication of the model is discussed further in detail.

• Current Photovoltaic Research
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• v.5 no.3
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• pp.100-104
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• 2017

This paper analyzes the correlation between Net Benefit Test (NBT) and System marginal price (SMP), which has a significant impact on the allocation of demand response (DR) resources in resource scheduling and commitment (RSC) process, based on the performance data of the demand resource market which has been established in 2014. Demand resources compete with generation resources in the RSC process, and it is prescribed to use demand resources only when net benefit occurs. Analysis result shows that the larger the SMP than the Net Benefit Threshold Price (NBTP), the more the winning bid of demand response resource was. It is interpreted that the introduction of NBT in DR market is justified. The demand resource market has been steadily growing. It is required to expand the scope of resources up to the small-sized DR, and to expand the functionalities of demand resources not only in the current energy market but also in the reserve market in the future. In order for that, institutional improvements are required.

• Journal of Communications and Networks
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• v.11 no.4
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• pp.368-374
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• 2009

This paper focuses on a distributed multiple spectrum pricing scheme to maximize system capacity in next generation multiaccess systems, where multimode user equipments (MUEs) can connect simultaneously to multiple base stations (BSs) with multiple radio access technologies (RATs). The multi-price based scheme provides a distributed decision making for an optimal solution where radio resource allocations are determined by each MUE, unlike most centralized mechanisms where BS controls the whole radio resource. By the proposed optimal solution, MUEs can decide their share of spectrum bands and power allocation according to the spectrum price of each RAT, and at the same time the multiaccess system can achieve maximized total throughput. Numerical analysis shows that the proposed scheme achieves the maximal capacity by distributed resource allocation for the multiaccess system.

• ETRI Journal
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• v.33 no.2
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• pp.184-193
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• 2011

Tailored for wireless local area networks, the present paper proposes a cross-layer resource allocation scheme for multiple-input multiple-output orthogonal frequency-division multiplexing systems. Our cross-layer resource allocation scheme consists of three stages. Firstly, the condition of sharing the subchannel by more than one user is studied. Secondly, the subchannel allocation policy which depends on the data packets' lengths and the admissible combination of users per subchannel is proposed. Finally, the bits and corresponding power are allocated to users based on a greedy algorithm and the data packets' lengths. The analysis and simulation results demonstrate that our proposed scheme not only achieves significant improvement in system throughput and average packet delay compared with conventional schemes but also has low computational complexity.

• Journal of Communications and Networks
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• v.18 no.1
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• pp.112-122
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• 2016

Cognitive radio (CR) is considered an attractive technology to deal with the spectrum scarcity problem. Multi-radio access technology (multi-RAT) can improve network capacity because data are transmitted by multiple RANs (radio access networks) concurrently. Thus, multi-RAT embedded in a cognitive radio network (CRN) is a promising paradigm for developing spectrum efficiency and network capacity in future wireless networks. In this study, we consider a new CRN model in which the primary user networks consist of heterogeneous primary users (PUs). Specifically, we focus on the energy-efficient resource allocation (EERA) problem for CR users with a special location coverage overlapping region in which heterogeneous PUs operate simultaneously via multi-RAT. We propose a two-tier crossover genetic algorithm-based search scheme to obtain an optimal solution in terms of the power and bandwidth. In addition, we introduce a radio environment map to manage the resource allocation and network synchronization. The simulation results show the proposed algorithm is stable and has faster convergence. Our proposal can significantly increase the energy efficiency.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.18 no.10
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• pp.2382-2388
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• 2014

To provide network reliability in indoor wireless communication systems, we should resolve the problem of unexpected network failure rapidly. In this paper, we propose an adaptive resource management (ARM) scheme to support seamless connectivity to users. In consideration of system throughput and user fairness simultaneously, the ARM scheme adaptively determines the set of healing channels, and performs scheduling and power allocation iteratively based on a constrained non-convex optimization technique. Through intensive simulations, we demonstrate the superior performance results of the proposed ARM scheme in terms of the average cell capacity and user fairness.

• The Mathematical Education
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• v.39 no.1
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• pp.71-80
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• 2000

As the new century begins, it is clear that K-l2 education is going through a major change. The increasing power and affordability of personal computers along with wide spread use of the Internet has not only changed the landscape for communication but it has opened up new and exciting opportunities for education. One of the ways that Internet could help improve education is to act as an interactive communication link to gather the knowledge and experience of all the teachers and to serve as an open forum for discussing and exchanging innovative ideas. But developing a successful site is not an easy task since the success of the site depends on the level of participation and cooperation of teachers. In this paper, learnings derived from the development of an interactive web based resource center for K-12 mathematics teacher are described and recommendations for developing an effective site for teachers are suggested. The development of an interactive resource center for mathematics teachers showed that while interest for a web based resource is very high, the main obstacle for effective teacher participation is lack of easy accessibility of internet by teachers, and lack of computer and internet training for teachers. The technical issues regarding hardware installation, software development and cost were minimal. Accessibility will improve in time as more and more schools are connected to the internet, but this alone will not be enough. The study suggests that in order to bring together teachers on the internet more effort needs to be made in training teachers on the use of computers and the internet.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.18 no.1
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• pp.211-232
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• 2024

In this paper, we consider the resource allocation and offloading decisions of device-to-device (D2D) cooperative UAV-assisted mobile edge computing (MEC) system, where the device with task request is served by unmanned aerial vehicle (UAV) equipped with MEC server and D2D device with idle resources. On the one hand, to ensure the fairness of time-delay sensitive devices, when UAV computing resources are relatively sufficient, an optimization model is established to minimize the maximum delay of device computing tasks. The original non-convex objective problem is decomposed into two subproblems, and the suboptimal solution of the optimization problem is obtained by alternate iteration of two subproblems. On the other hand, when the device only needs to complete the task within a tolerable delay, we consider the offloading priorities of task to minimize UAV computing resources. Then we build the model of joint offloading decision and power allocation optimization. Through theoretical analysis based on KKT conditions, we elicit the relationship between the amount of computing task data and the optimal resource allocation. The simulation results show that the D2D cooperation scheme proposed in this paper is effective in reducing the completion delay of computing tasks and saving UAV computing resources.