• ETRI Journal
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• 제32권5호
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• pp.819-822
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• 2010

Supporting QoS over multihop wireless mesh networks is difficult because end-to-end delay increases quickly with the increasing number of hops. This paper introduces a novel multichannel time-division multiple-access media access control (McTMAC) protocol that can help to efficiently reduce delay over multihop networks. Performance evaluation results demonstrate that McTMAC outperforms existing alternative protocols. The max-delay can be reduced by as much as 60% by using McTMAC.

• Water Engineering Research
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• 제1권4호
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• pp.279-291
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• 2000

A mathematical model using dynamic programming approach is applied to an optimal unit commitment problem. In this study, the units are treated as stages instead of as state dimension, and the time dimension corresponds to the state dimension instead of stages. A considerable amount of computer time is saved as compared to the normal approach if there are many units in the basin. A case study on the Lower Colorado River Basin System is presented to demonstrate the capabilities of the optimal scheduling of hydropower units.

• 한국통신학회논문지
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• 제39C권12호
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• pp.1250-1260
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• 2014

본 논문에서는 허브 네트워크 기반의 장거리 공중 전술 통신을 위한 새로운 자원 스케줄링 기법을 제안한다. 최근 세계 각국에서는 네트워크 중심전 (NCW, Network Centric Warfare)으로 변화하는 현대전의 흐름에 맞추어 공용데이터링크 (CDL, Common Data Link)의 전송속도 및 네트워킹 기능을 향상시키기 위한 기술 개발에 주력하고 있으며, 우리 군도 자립적인 차세대 대용량 CDL 기술 개발에 박차를 가하고 있다. CDL의 대표적 운용 구조인 허브 네트워크에서는 제한된 주파수 대역 내에서 다수의 UAV (Unmanned Aerial Vehicle)들과 대용량의 영상 전술 정보를 동시 다발적으로 교환하기 위해, hybrid FDMA(Frequency Division Multiple Access)/TDMA(Time Division Multiple Access) 구조를 고려할 수 있다. 그러나 UAV 별 상이한 왕복 시간 지연 (RTT, Round-Trip Time) 및 트래픽 크기로 인해 동일 주파수 대역을 점유하는 UAV 간 유휴 시간 자원이 발생하거나 불필요한 패킷 전송 지연이 발생할 수 있으며, 이는 장거리 운용 시 허브 네트워크의 자원 효율을 저하시킨다. 따라서 본 논문에서는 UAV 별 발생하는 RTT와 트래픽 크기를 기반으로 하는 반복적 정렬 알고리즘을 통해 UAV의 시간/주파수 자원을 스케줄링하는 기법을 제안한다. 성능 평가를 통해 제안 기법이 낮은 복잡도로 데이터 처리율과 패킷 지연 측면의 성능 향상이 가능함을 입증하였다.

• 한국융합학회논문지
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• 제12권2호
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• pp.15-20
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• 2021

부정확한 실시간 스케쥴링은 실시간 시스템에 일시적인 과부하가 발생할 때, 보다 덜 중요한 태스크들을 희생시킴으로서 시간적 오류들의 결과로 발생될 수 있는 나쁜 효과들을 최소화시키기 위하여 사용될 수 있다. 부정확한 실시간 스케쥴링에 있어서, 모든 경성 실시간 태스크는 논리적으로 필수적 태스크와 선택적 태스크로 나누어 질 수 있다. 최근들어서, 선택적 태스크들을 지연시킴으로서 총오류를 최소화시키면서도 필수적 태스크들의 스케쥴가능성을 향상시키는 연구들이 진행되어 왔다. 그러나, 이러한 연구들에서의 스케쥴가능성은 각 각의 선택적 태스크의 실행요구시간이 대응하는 필수적 태스크의 실행요구시간보다 작거나 같을 때 에만 적용된다는 제약이 있었다. 그래서, 본 논문에서는 이전의 연구들의 필수적 및 선택적 태스크들에 대한 실행요구시간 제약조건과 정 반대되는 제약조건 하에서도 적용될 수 있는 새로운 지연 전략을 제시하였다. 그럼에도 불구하고, 본 논문에서 제시한 지연 전략은 총오류를 최소화시키면서도 이전 연구들에 비하여 유사하거나 더 우수한 스케쥴가능성 성능을 보여 주었다.

• 전기학회논문지
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• 제62권10호
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• pp.1390-1396
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• 2013

The paper estimated the reasonable market price of lead-acid battery energy storage system (BESS) intended for demand management of electricity customers. As time-of-use (TOU) tariffs have extended to a larger number of customers and gaps in the peak and off-peak rates have gradually risen, deployment of BESS has been highly needed. However, immature engineering techniques, lack of field experiences and high initial investment cost have been barriers to opening up ESS markets. This paper assessed electricity cost that BESS operation could save for customers and, based on the possible cost savings, estimated reasonable prices at which BESSs could become a more prospective option for demand management of customers. Battery scheduling was optimized to maximize the electricity cost savings that BESS would possibly achieve under TOU tariffs conditions. Basic economic factors such as payback period and return on investment were calculated to determine reasonable market prices. Actual load data of 12 industrial customers were used for case studies.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제11권10호
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• pp.4823-4843
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• 2017

In this paper, an improved utility-based cross-layer dynamic subcarrier allocation (DSA) algorithm is proposed for single carrier frequency division multiple access (SC-FDMA) system, which adopts adaptive service rate control (ASRC) to eliminate the service rate waste and improve the spectral efficiency in heterogeneous network including non-real-time traffic and real-time traffic. In this algorithm, furthermore, a first in first out (FIFO) queuing model with finite space is established on the cross-layer scheduling framework. Simulation results indicate that by taking the service rate constraint as the necessary condition for optimality, the ASRC algorithm can effectively eliminate the service rate waste without compromising the scheduling performance. Moreover, the ASRC algorithm is able to further improve the quality of service (QoS) performance and transmission throughput by contributing an attractive performance trade-off between real-time and non-real-time applications.

• 산업경영시스템학회지
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• 제38권4호
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• pp.132-141
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• 2015

We focus on the fire scheduling problem (FSP), the problem of determining the sequence of targets to be fired at, for the objective of minimizing makespan to achieve tactical goals. In this paper, we assume that there are m available weapons to fire at n targets (> m) and the weapons are already allocated to targets. One weapon or multiple weapons can fire at one target and these fire operations should start simultaneously while the finish time of them may be different. We develop several dominance properties and a lower bound for the problem, and suggest a branch and bound algorithm implementing them. Also, In addition, heuristic algorithms that can be used for obtaining an initial upper bound in the B&B algorithm and for obtaining good solutions in a short time were developed. Computational experiments are performed on randomly generated test problems and results show that the suggested algorithm solves problems of a medium size in a reasonable amount of computation time. The proposed lower bound, the dominance properties, and the heuristics for upper bound are tested in B&B respectively, and the result showed that lower bound is effective to fathoming nodes and the dominance properties and heuristics also worked well. Also, it is showed that the CPU time required by this algorithm increases rapidly as the problem size increases. Therefore, the suggested B&B algorithm would be limited to solve large size problems. However, the employed heuristic algorithms can be effectively used in the B&B algorithm and can give good solutions for large problems within a few seconds.

• 한국환경농학회지
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• 제39권4호
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• pp.352-359
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• 2020

BACKGROUND: The mulberry cultivars 'Daeshim' and 'Shimgang' were developed in RDA in 2014 and 2017, respectively. 'Daeshim' yields a fruit size bigger than that of other varieties and has a productivity of over 70%, whereas 'Shimgang' has a high yield and a special characterization against the mulberry popcorn disease. In our study, a compositional comparison of these popular cultivars in Korea was undertaken to explore the nutrient profiles of mulberry fruit and promote the development of the rich minerals and flavonoids in mulberry fruit as performing each other irrigation time. METHODS AND RESULTS: These two cultivars were collected from the Sericulture and Apiculture Division, RDA, in Korea to investigate their amounts, weights, minerals, and flavonoid content using each other instrument. After 6 h of irrigation treatment, the amount of fruit (kg/tree) from Daeshim and Shimgang increased by 17.5 and 15.2 kg/tree, respectively. The total flavonoid content from Daeshim and Shimgang was determined to be 132.9 mg and 36.3 mg, respectively, after the 6 h irrigation treatment. CONCLUSION: Appropriate irrigation treatment methods such as water scheduling and volume will help increase fruit quantities and farmer incomes. It would be interesting to conduct further in-depth research on these fruits so that consumers can benefit from them as a food additive.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제12권6호
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• pp.2658-2679
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• 2018

This paper proposes a novel Random Scheduling Algorithm based on Subregion Coverage (RSASC), to solve the SET K-cover problem (an NP-complete problem). SET K-cover problem distributes the set of sensors into the maximum number of mutually exclusive subsets (MESSs) in such a way that each of them can be scheduled for lifetime extension of WSN. Sensor coverage divides the target region into different subregions. RSASC first sorts the subregions in the ascending order concerning their sensor coverage. Then, it forms the subregion groups according to their similar sensor coverage. Lastly, RSASC ensures the K-coverage of each subregion from every group by randomly scheduling the sensors. We consider the target-coverage and area-coverage applications of WSN to analyze the usefulness of our proposed RSASC algorithm. The distinct quality of RSASC is that it utilizes less number of deployed sensors (33% less) to form the optimum number of MESSs with the higher computational speed (saves more than 93% of the time) as compared to the existing three algorithms.

• 대한산업공학회지
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• 제42권3호
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• pp.173-181
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• 2016

This paper deals with the single-hoist and multiple-products scheduling problem. Although a mixed integer linear programming model for the problem was developed earlier, a branch-and-bound based heuristic algorithm is proposed in this paper to solve the big-size problems in real situation. The algorithm is capable of handling problems incorporating different product types, jobs in the process, and tank capacities. Using a small example problem the procedure of the heuristic algorithm is explained. To assess the performance of the heuristic we generate a bigger example problem and compare the results of the algorithm proposed in this paper with the optimal solutions derived from the mathematical model of earlier research. The comparison shows that the heuristic has very good performance and the computation time is sufficiently short to use the algorithm in real situation.