• Proceedings of the Korea Water Resources Association Conference
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• 2018.05a
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• pp.441-441
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• 2018

최근 지구온난화의 영향으로 이상기후가 발생하고 있으며, 이로 인해서 가뭄, 홍수, 태풍 등의 자연재해 발생률과 그 강도 또한 점차 높아지고 있다. 이러한 피해에 대비하고 예방하기 위한 피해예측 및 저감 기술에 대해서 다양한 방법으로 연구가 진행되고 있다. 본 연구에서는 자연재해로 인한 피해 중 큰 피해를 남기는 하천시설에 대해서 호우 태풍으로 인해 발생하는 홍수피해규모 예측을 위해서 함수를 개발하였다. 함수개발에는 국가재난관리시스템(NDMS)의 과거 피해 자료와 당시 조사되었던 침수흔적도를 활용하였으며, 개발된 함수는 피해대상 유역에 적용하여 검증하였다. 본 연구에서 개발한 하천시설에 대한 손실함수는 하천에서의 재해저감대책을 마련하는데 필요한 정보를 제공할 수 있을 것이다.

• The Transactions of the Korea Information Processing Society
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• v.1 no.3
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• pp.367-379
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• 1994

This paper describes scheduling algorithms of the UNIX operating system and shows an analytical approach to approximate the average conditional response time for a process in the UNIX operating system. The average conditional response time is the average time between the submittal of a process requiring a certain amount of the CPU time and the completion of the process. The process scheduling algorithms in thr UNIX system are based on the priority service disciplines. That is, the behavior of a process is governed by the UNIX process schuduling algorithms that (ⅰ) the time-shared computer usage is obtained by allotting each request a quantum until it completes its required CPU time, (ⅱ) the nonpreemptive switching in system mode and the preemptive switching in user mode are applied to determine the quantum, (ⅲ) the first-come-first-serve discipline is applied within the same priority level, and (ⅳ) after completing an allotted quantum the process is placed at the end of either the runnable queue corresponding to its priority or the disk queue where it sleeps. These process scheduling algorithms create the round-robin effect in user mode. Using the round-robin effect and the preemptive switching, we approximate a process delay in user mode. Using the nonpreemptive switching, we approximate a process delay in system mode. We also consider a process delay due to the disk input and output operations. The average conditional response time is then obtained by approximating the total process delay. The results show an excellent response time for the processes requiring system time at the expense of the processes requiring user time.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.18 no.8
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• pp.55-63
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• 2017

Due to spatial problems and system size,conventional measurement methods used to acquire the information needed for existing electrical energy and management have been limited to new buildings or areas where replacement is possible. This electric load management method is problematic when applying it to energy and safety management of vulnerable areas or existing homes or offices. The problem with installing a measurement module in every branch is that the system is too large. Even if the measurement module is installed, the type of load is not recognized, and efficient management is not performed. In particular, it is very difficult to apply it to traditional markets and backward facilities in Korea. In this paper, we apply NIALM technology and arc detection technology to solve these problems and verify the feasibility of NIALM for normal arc generation. Also, based on the verification results, we propose a new smart home safety management system that can effectively manage electrical safety and that can be applied to conventional market and existing home safety management systems. The proposed system conducts a comparative performance test with an existing safety management system. In addition, it achieves 95% or more load recognition for four loads, which is impossible in 40% of the existing systems, and the arc detection function was confirmed.

• Proceedings of the Korean Institute Of Construction Engineering and Management
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• autumn
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• pp.279-282
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• 2002

최근 건설사업시장의 개방과 건설사업관리제도(이하CM)의 도입으로 국내 건설업계 및 생산시스템에도 많은 변화가 일어나고 있다. 이에 따라, 건축물의 초기시설비는 물론 유지관리 및 최종 폐기단계까지의 비용을 종합적으로 고려한 건물생애주기비용(이하 LCC)에 대한 중요성이 증대되었으며 특히 기계장치의 유지관리비 중 많은 부분을 차지하는 공기조화시설 부문에서 LCC가 주로 검토되고 있다. 그러나 국내에서는 공기조화 설비의 LCC에 대한 절차 및 기준 등이 미비하여 효과적인 LCC분석이 이루어지지 않고 있다. 본 연구는 최근 수행된 국내 공기조화 설비분야의 LCC분석 사례를 조사하여, 국내 공조설비의 LCC분석의 문제점을 분석하였다. 또한 사례 분석을 중심으로 공조설비의 LCC분석 절차를 제시하고 이 절차에 따라 7개의 사례를 비교분석하였다. 그 결과, LCC측면에서 최적 대안을 선정하는 경우 각 대안 별로 뚜렷한 차이를 보이고 있는 에너지비용과 초기투자비를 주된 비용요소로 고려하는 것이 가장 효과적인 것으로 나타났다.

• Proceedings of the Korea Information Processing Society Conference
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• 2016.10a
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• pp.779-780
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• 2016

해당 개발 연구기기는 스마트그리드와 같은 에너지 IoT에 적용할 수 있는 다중통신기반 게이트웨이로 정보를 수집하는 무선 구간과 이를 상위 서버로 전달하는 무선 또는 유선 구간을 복합적으로 적용한 장치이다. 에너지를 효율적으로 관리하는 시스템 구축에 있어 여러 정보를 수집하고 상위 관리 서버로 전달하는 중요 역할을 담당한다. 현재는 연구단계로 정보 수집 및 전달은 시험을 완료하였으며, 성능 개선을 진행 중에 있다.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.20 no.9
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• pp.1799-1807
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• 2016

In this paper, we propose the automatic demand response systems which reduce the electric power consumption for the period automatically distinct from the existing passive demand response that a subscriber directly controls the energy consumption. The proposed systems are based on SEP 2.0 and consist of the demand response management program, the demand response server, and the demand response client. The demand response program shows the current status of the electric power use to a subscriber and supports the function which the administrator enables to creates or cancels a demand response event. The demand response server transmits the demand response event received from the demand response management program to the demand response client through SEP 2.0 protocol, and it stores the metering data from the demand response client in a database. After extracting the data, such as the demand response the start time, the duration, the reduction level, the demand response client reduces the electric power consumption for the period.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.13 no.4
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• pp.47-53
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• 2013

Nowadays, Advanced country have devised a plan energy-saving through lighting effectiveness and increasing performance of lighting control system. If it uses the LED as a source of light then conserve electricity by 50%. This paper implement LEMS(Lighting Energy Management System) that applicate and Smart Dimmer and Smart Switch that control the digital LED light, support wired-wireless communication using USN(Ubiquitous Sensor Network). This system of validity and reliability control special purpose lamp including indoor and outdoor lighting and landscape lighting effectively. It minimize the use of indoor and outdoor lighting energy by USN remote integral control function of Digital System Lighting of LED and increase effectiveness of energy and is a collaborative system that can feedback the use of electricity by measurement itself through Web and Switch.

• Journal of KIISE:Computing Practices and Letters
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• v.15 no.7
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• pp.478-488
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• 2009

Using solar power in wireless sensor networks (WSNs) requires adaptation to a highly varying energy supply and to a battery constraint. From an application's perspective, however, it is often preferred to operate at a constant quality level as opposed to changing application behavior frequently. Reconciling the varying supply with the fixed demand requires good tools for allocating energy such that average of energy supply is computed and demand is fixed accordingly. In this paper, we propose a probabilistic observation-based model for harvested solar energy. Based on this model, we develop a time-slot-based energy allocation scheme to use the periodically harvested solar energy optimally, while minimizing the variance in energy allocation. We also implement the testbed and demonstrate the efficiency of the approach by using it.

• Journal of Digital Contents Society
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• v.19 no.1
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• pp.43-49
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• 2018

Recently, with the rapid increasing demands for data services on the Internet, the need for large-scale data centers has been increased. However, these data centers consume enormous amounts of energy to run numerous servers and equipment. In this paper, we therefore propose a novel scheme to save energy in multimedia servers by concentrating the load on specific servers according to the current load level of the overall system and turning them off immediately. To this end, the number of server groups in which each video is stored is determined according to its popularity so that video playback requests can be evenly distributed to the entire system. Finally, through extensive simulations, we show that our proposed data placement and power management scheme in multimedia servers significantly reduces energy consumption by decreasing the number of servers whose powers are on when compared with the existing method, while maintaining the service quality.

• The Journal of the Korea institute of electronic communication sciences
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• v.19 no.3
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• pp.515-522
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• 2024

Energy consumption is steadily increasing, and buildings in particular account for more than 20% of the total energy consumption around the world. As an effort to cost-effectively manage the energy consumption of buildings, many research groups have recently focused on Smart Building Energy Management Systems (BEMS), which are deepening the research depth by applying artificial intelligence(AI). In this paper, we propose a reinforcement learning-based energy control method for smart energy buildings integrated with V2G station, which aims to reduce the total energy cost of the building. The results of performance evaluation based on the energy consumption data measured in the real-world building shows that the proposed method can gradually reduce the total energy costs of the building as the learning process progresses.