• 대한전기학회논문지:전력기술부문A
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• 제53권6호
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• pp.334-339
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• 2004

In this study, a new UC (Unit Commitment) algorithm is proposed to consider the uncertainty of a daily load profile. The proposed algorithm calculates the UC results with the lower load level than the one generated by the conventional load forecast and the more hourly reserve allocation. In case of the worse load forecast, the deviation of the conventional UC solution can be overcome with the proposed method. The proposed method is tested with sample systems, which shows that the new UC algorithm yields completely feasible solution even though the worse load forecast is applied. Also, the effects of the uncertain hourly load demand are statistically analyzed especially by the consideration of the average over generation and the average under generation. Finally, it is shown that independent power producers participating in electricity spot-markets can establish bidding strategies by means of the statistical analysis. Therefore, it is expected that the proposed method can be used as the basic guideline for establishing bidding strategies under the deregulation power pool.

• KIEE International Transactions on Power Engineering
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• 제5A권1호
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• pp.16-21
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• 2005

In this study, a new Unit Commitment (UC) algorithm is proposed to consider the uncertainty of a daily load profile. The proposed algorithm calculates the UC results with a lower load level than that generated by the conventional load forecast method and the greater hourly reserve allocation. In case of the worst load forecast, the deviation of the conventional UC solution can be overcome with the proposed method. The proposed method is tested with sample systems, which indicates that the new UC algorithm yields a completely feasible solution even when the worst load forecast is applied. Also, the effects of the uncertain hourly load demand are statistically analyzed, particularly by the consideration of the average over generation and the average under generation. Finally, it is shown that independent power producers participating in electricity spot-markets can establish bidding strategies by means of the statistical analysis. Therefore, it is expected that the proposed method can be used as the basic guideline for establishing bidding strategies under the deregulation power pool.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제12권5호
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• pp.1973-1991
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• 2018

Multimedia applications over wireless networks have been evolving to augmented reality or virtual reality services. However, a rich data size compared to conventional multimedia services causes bandwidth bottlenecks over wireless networks, which is one of the main reasons why those applications are not used widely. To overcome this limitation, bandwidth aggregation techniques, which exploit a multi-path transmission, have been considered to maximize link utilization. Currently, most of the conventional researches have been focusing on the user end problems to improve the quality of service (QoS) through optimal load distribution. In this paper, we address the joint pricing and load distribution problem for multi-homing in heterogeneous wireless access networks (ANs), considering the interests of both the users and the service providers. Specifically, we consider profit from resource allocation and cost of power consumption expenditure for operation as an utility of each service provider. Here, users decide how much to request the resource and how to split the resource over heterogeneous wireless ANs to minimize their cost while supporting the required QoS. Then, service providers compete with each other by setting the price to maximize their utilities over user reactions. We study the behaviors of users and service providers by analyzing their hierarchical decision-making process as a multileader-, multifollower Stackelberg game. We show that both the user and service provider strategies are closed form solutions. Finally, we discuss how the proposed scheme is well converged to equilibrium points.

• 한국정보통신학회논문지
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• 제18권12호
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• pp.3049-3054
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• 2014

PST는 제품 컨설팅을 위해 제품 카탈로그를 시스템화 한 것으로 대다수의 모바일 PST(Premium Sales Tool)는 DA(Dynamic Allocation)기법을 사용한다. 그러나 모바일 기기는 수용할 수 있는 자원이 한정되어 있어 고해상도의 콘텐츠를 연속적으로 질의 할 경우 요청한 리소스가 대기상태로 쌓여 CPU의 과부하가 발생할 수 있다. 따라서 본 논문에서는 사용자의 제스처에 따라 페이지 할당과 해제를 주기적으로 제공함으로써 부하 발생에 대한 문제를 개선하여 향상된 PST 시스템을 설계 및 구현하였다. 구현한 시스템의 성능을 테스트 한 결과 기존 DA 기반 시스템 보다 제안한 PA(Pattern Allocation) 기반 시스템이 페이지 할당과 해제 빈도수에 대한 부하가 평균 약 78%의 감소율을 보였으며, CPU 점유율은 평균 약72% 감소한 것을 확인하였다.

• Journal of Information Processing Systems
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• 제19권5호
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• pp.702-712
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• 2023

Load balancing plays a crucial role in ensuring the stable operation of information management systems during periods of high user access requests; therefore, load balancing approaches should be reasonably selected. Moreover, appropriate load balancing techniques could also result in an appropriate allocation of system resources, improved system service, and economic benefits. Nginx is one of the most widely used loadbalancing software packages, and its deployment is representative of load-balancing application research. This study introduces Nginx into an educational administration system, builds a server cluster, and compares and sets the optimal cluster working strategy based on the characteristics of the system, Furthermore, it increases the stability of the system when user access is highly concurrent and uses the Nginx reverse proxy service function to improve the cluster's ability to resist illegal attacks. Finally, through concurrent access verification, the system cluster construction becomes stable and reliable, which significantly improves the performance of the information system service. This research could inform the selection and application of load-balancing software in information system services.

• 대한전기학회논문지:전력기술부문A
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• 제53권9호
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• pp.481-486
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• 2004

In operation of distribution system, $DG_s$ Distributed Generations) are installed as an alternative of extension and establishment of substations and transmission and distribution lines according to increasing power demand. In operation planning of $DG_s$, determining optimal capacity and allocation gets economical pro(it and improves power reliability. This paper proposes determining a optimal number, size and allocation of $DG_s$ needed to minimize operation cost of distribution system. Capacity of $DG_s$ (or economical operation of distribution system estimated by the load growth and line capacity during operation planning duration, DG allocations are determined to minimize total cost with power buying cost. operation cost of DG, loss cost and outage cost using GA(Genetic Algorithm).

• 한국정보처리학회:학술대회논문집
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• 한국정보처리학회 2001년도 추계학술발표논문집 (하)
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• pp.1541-1544
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• 2001

Java virtual machine의 성능을 향상시키기 위해 "JIT(Just-in-Time)"code generator가 고안되었다[3], JIT code generator는 스택기반의 자바 바이트 코드를 레지스터 기반의 native machine code로 변환해 주는 역할을 수행하여 바이트 코드의 번역시간을 줄여준다. 그러나 JIT 는 많은 레지스터의 사용을 야기시키므로 효율적인 레지스터 allocation 정책이 필요하고 스택과 레지스터 간의 traffic 을 가중시킨다. 그러므로 본 논문에서는 자바 바이트 코드의 효율적인 stack allocation 정책을 JIT code generator에 적용함으로 레지스터와의 traffic을 줄이는 방법을 제시하였다.

• 한국경영과학회지
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• 제35권1호
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• pp.47-65
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• 2010

In this study the artillery fire system is investigated in consideration of the characteristics of the troop and the target. Two kinds of decision are to be made on the target allocation with fire ammunition and the fire sequencing for the target with duties in charge. The objective is to minimize the completion time for all troops. Each target has the specified amount of load of fire, which can be accomplished by a single troop or the combination of the troops having different capabilities. Mathematical model is suggested, and the heuristic algorithm which yields a solution within a reasonable computation time is developed. The algorithm consists of iterative three steps : the initial solution generation, the division improvement, and the exchange improvement. The performance of the heuristic is evaluated through the computational experiment

• 한국경영과학회:학술대회논문집
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• 대한산업공학회/한국경영과학회 2002년도 춘계공동학술대회
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• pp.144-151
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• 2002

Future wireless communication systems are expected to provide a broad range of multimedia services in which the asymmetry of traffic load between uplink and downlink is a significant feature. The rode division multiple access system with tune division duplex mode (CDMA/TDD) is a good solution to cope with the traffic asymmetry problem. However. the TDD system is subject to inter-cell interference compared to frequency division duplex (FDD) system. Since both uplink and downlink share the same frequency in TDD. uplink and downlink may interfere each other especially when neighboring cells require different rates of asymmetry. Thus, time slot allocation for tells is an important issue in TDD. In this paper. we propose a genetic algorithm based time slot allocation scheme which maximizes the residual system capacity. The proposed scheme allows that each cell employ different level of uplink/downlink asymmetry and satisfies the interference requirement.

• 한국컴퓨터정보학회논문지
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• 제21권1호
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• pp.49-57
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• 2016

In this paper we propose the resource allocation scheme for the overlaid macro-femtocell networks, which considers the type of handovers such as the inter-macrocell, macrocell-to-femtocell, femtocell-to-macrocell, or inter-femtocell in order to guarantee Quality of Service (QoS) and expand the accommodation capacity. Our proposed scheme takes into account the movement of mobile terminals, the QoS degradation, or the load control which trigger handovers in the overlaid networks, before it allocates resources dynamically. Moreover it considers QoS requirements of realtime or non-realtime mobile multimedia services such as video communication, Video on Demand (VoD) and dataa services. Simulation results show that our scheme provides better performances than the conventional one with respect to the outage probability, data transmission throughput and handover failure rate.