• 제목/요약/키워드: information load

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부하관리사업자의 비상시 부하제어량 배분 알고리즘 개발 (Development of the Load Curtailment Allocation Algorithm for Load Aggregator in Emergeney Demand Response)

  • 정구형;김진호;김발호
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 2003년도 하계학술대회 논문집 A
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    • pp.633-635
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    • 2003
  • Electricity industries throughout the world are undergoing unprecedented changes. As a result, these changes lead to the separation of traditional integrated utilities and the introduction of competition in order that increase efficiency in electricity industry. Direct load control (DLC) system in competitive electricity market has a hierarchical interactive operation system, therefore, its control logic is also applied by bilateral interactive method that interchanges information related to interruptible load between operation hierarchies. Consequently, load curtailment allocation algorithm appropriate for new DLC system is required, and based on interchanged information, this algorithm should be implemented by most efficient way for each operation hierarchy. In this paper, we develop the load curtailment allocation algorithm in an emergency for new DLC system. Especially, the optimal algorithm for load aggregator (LA) that participates in competitive electricity market as a main operator for load management is developed.

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인지부하를 고려한 의학교육 교수-학습 설계 (Cognitive Load and Instructional Design in Medical Education)

  • 오선아;김연순;정은경
    • 의학교육논단
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    • 제12권2호
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    • pp.27-33
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    • 2010
  • The purpose of this study was to review the definition of cognitive load (CL), the relationship between CL and instructional design, and to provide a viewpoint of CL in curriculum and instructional design in medical education. Cognitive load theory (CLT) makes use of three hypotheses about the structure of human memory: working memory (WM) is limited in terms of the amount of information it can hold, in contrast with WM, long term memory is assumed to have no limits and organizes information as schemata. CL indicates the mental load on the limitation of WM. CLT has been used to design instructional interventions that help to ease the learning process. Extraneous CL is related to irrelevant instructional interventions, while intrinsic CL is the complexity of the information itself. Germane CL is the cognitive process for acquiring schema formation. It is a necessary CL to achieve deeper comprehension and solve problems. The range of medical education includes complex, multifaceted and knowledge-rich domains with clinical skills and attitudes. Therefore, CLT may be used to guide instructional design in medical education in terms of decreasing extraneous CL, adjusting intrinsic CL and enhancing the germane CL.

클러스터링 기법을 이용한 수용가별 전력 데이터 패턴 분석 (Customer Load Pattern Analysis using Clustering Techniques)

  • 유승형;김홍석;오도은;노재구
    • KEPCO Journal on Electric Power and Energy
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    • 제2권1호
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    • pp.61-69
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    • 2016
  • Understanding load patterns and customer classification is a basic step in analyzing the behavior of electricity consumers. To achieve that, there have been many researches about clustering customers' daily load data. Nowadays, the deployment of advanced metering infrastructure (AMI) and big-data technologies make it easier to study customers' load data. In this paper, we study load clustering from the view point of yearly and daily load pattern. We compare four clustering methods; K-means clustering, hierarchical clustering (average & Ward's method) and DBSCAN (Density-Based Spatial Clustering of Applications with Noise). We also discuss the relationship between clustering results and Korean Standard Industrial Classification that is one of possible labels for customers' load data. We find that hierarchical clustering with Ward's method is suitable for clustering load data and KSIC can be well characterized by daily load pattern, but not quite well by yearly load pattern.

참조 정보를 이용한 RAID5 제어기의 부하 균형 반출 기법 (The Load Balancing Destage Algorithm of RAID5 Controller using Reference History)

  • 장윤석;김보연
    • 한국정보처리학회논문지
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    • 제7권3호
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    • pp.776-787
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    • 2000
  • Write requests which stored in disk cache of the RAID5 controller should be destaged to disk arrays according to the destage algorithm. As the response performance of the parallel IO request is being hit by the effect of the destage, several destage algorithms have been studied to enhance the performance of he RAID5 controller. Among the destage algorithms, the load balancing destage algorithm has better performance than other destage algorithms when system load is highly increased. But the load balancing destage algorithm gives priority to load balance among the disks in disk arrays, therefore, when some disks are affected by the very heavy system load caused by small data requests, the load balancing destage algorithm cannot enhance the performance of parallel IO requests effectively since it makes effort to maintain the load balance without the benefit of the locality of the write requests. This paper proposes a new RAID5 controller that applied reference-load balancing destage algorithm which decides the destage priority based on the reference history and load distribution of the disks. The simulation results show that RAID5 controller with the reference-load balancing destage algorithm has better performance than previous load balancing destage algorithm.

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Temporal Classification Method for Forecasting Power Load Patterns From AMR Data

  • Lee, Heon-Gyu;Shin, Jin-Ho;Park, Hong-Kyu;Kim, Young-Il;Lee, Bong-Jae;Ryu, Keun-Ho
    • 대한원격탐사학회지
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    • 제23권5호
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    • pp.393-400
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    • 2007
  • We present in this paper a novel power load prediction method using temporal pattern mining from AMR(Automatic Meter Reading) data. Since the power load patterns have time-varying characteristic and very different patterns according to the hour, time, day and week and so on, it gives rise to the uninformative results if only traditional data mining is used. Also, research on data mining for analyzing electric load patterns focused on cluster analysis and classification methods. However despite the usefulness of rules that include temporal dimension and the fact that the AMR data has temporal attribute, the above methods were limited in static pattern extraction and did not consider temporal attributes. Therefore, we propose a new classification method for predicting power load patterns. The main tasks include clustering method and temporal classification method. Cluster analysis is used to create load pattern classes and the representative load profiles for each class. Next, the classification method uses representative load profiles to build a classifier able to assign different load patterns to the existing classes. The proposed classification method is the Calendar-based temporal mining and it discovers electric load patterns in multiple time granularities. Lastly, we show that the proposed method used AMR data and discovered more interest patterns.

A Wide Input Range, 95.4% Power Efficiency DC-DC Buck Converter with a Phase-Locked Loop in 0.18 ㎛ BCD

  • Kim, Hongjin;Park, Young-Jun;Park, Ju-Hyun;Ryu, Ho-Cheol;Pu, Young-Gun;Lee, Minjae;Hwang, Keumcheol;Yang, Younggoo;Lee, Kang-Yoon
    • Journal of Power Electronics
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    • 제16권6호
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    • pp.2024-2034
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    • 2016
  • This paper presents a DC-DC buck converter with a Phase-Locked Loop (PLL) that can compensates for power efficiency degradation over a wide input range. Its switching frequency is kept at 2 MHz and the delay difference between the High side driver and the Low side driver can be minimized with respect to Process, Voltage and Temperature (PVT) variations by adopting the PLL. The operation mode of the proposed DC-DC buck converter is automatically changed to Pulse Width Modulation (PWM) or PWM frequency modes according to the load condition (heavy load or light load) while supporting a maximum load current of up to 1.2 A. The PWM frequency mode is used to extend the CCM region under the light load condition for the PWM operation. As a result, high efficiency can be achieved under the light load condition by the PWM frequency mode and the delay compensation with the PLL. The proposed DC-DC buck converter is fabricated with a $0.18{\mu}m$ BCD process, and the die area is $3.96mm^2$. It is implemented to have over a 90 % efficiency at an output voltage of 5 V when the input range is between 8 V and 20 V. As a result, the variation in the power efficiency is less than 1 % and the maximum efficiency of the proposed DC-DC buck converter with the PLL is 95.4 %.

3-주소 코드를 스택-기반 코드로의 변환기 (Translator for Stack-Based Codes from Three-Address Codes)

  • 김영국;고훈준;유원희
    • 한국정보처리학회:학술대회논문집
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    • 한국정보처리학회 2005년도 춘계학술발표대회
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    • pp.369-372
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    • 2005
  • 자바의 문제점은 실행속도의 저하이다. 실행속도 저하의 해결 방법으로 네이티브 코드로 변환, JIT컴파일러, 바이트코드 최적화등의 연구가 되어 왔다. 그중에 바이트코드 최적화 방법을 사용하는 CTOC(Class To Optimized Classes)에서 3-주소 코드를 스택-기반 코드로 코드 확장 기법으로 변환 시 불필요한 store/load 코드가 생성된다. 따라서 본 논문은 불필요한 store/load 코드를 제거하기 위해서 부분 중복 코드 제거 후 불필요한 store/load문을 제거함으로서 불필요한 store/load 코드의 양을 줄이는 변환기를 제안하고, 거기에 대한 간단한 예를 들어 설명한다.

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Round Robin with Server Affinity: A VM Load Balancing Algorithm for Cloud Based Infrastructure

  • Mahajan, Komal;Makroo, Ansuyia;Dahiya, Deepak
    • Journal of Information Processing Systems
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    • 제9권3호
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    • pp.379-394
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    • 2013
  • Cloud computing is an evolving computing paradigm that has influenced every other entity in the globalized industry, whether it is in the public sector or the private sector. Considering the growing importance of cloud, finding new ways to improve cloud services is an area of concern and research focus. The limitation of the available Virtual Machine Load balancing policies for cloud is that they do not save the state of the previous allocation of a virtual machine to a request from a Userbase and the algorithm requires execution each time a new request for Virtual Machine allocation is received from the Userbase. This problem can be resolved by developing an efficient virtual machine load balancing algorithm for the cloud and by doing a comparative analysis of the proposed algorithm with the existing algorithms.

Parallelizing H.264 and AES Collectively

  • Kim, Heegon;Lee, Sungju;Chung, Yongwha;Pan, Sung Bum
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제7권9호
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    • pp.2326-2337
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    • 2013
  • Many applications can be parallelized by using multicore platforms. We propose a load-balancing technique for parallelizing a whole application, whose first module (H.264) has data independency and whose second module (AES) has data dependency. Instead of distributing the first module symmetrically over the multi-core platform, we distribute the data-independent workload asymmetrically in order to start the data-dependent workload as early as possible. Based on the experimental results with a compression/encryption application, we confirm that the asymmetric load balancing can provide better performance than the typical symmetric load balancing.

IBM p690 시스템에서 LoadLeveler를 사용한 Gang Scheduling과 Backfilling Scheduler 성능 분석 (An Performance Analysis for Gang Scheduling, and Backfilling Scheduler with LoadLeveler at the IBM p690)

  • 우준;김중권;이상산
    • 한국정보처리학회:학술대회논문집
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    • 한국정보처리학회 2002년도 추계학술발표논문집 (상)
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    • pp.229-232
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    • 2002
  • 분간 병렬 시스템에서 사용되는 배치 작업 스케줄링 기법으로 잘 알리진 것은 Gang Scheduling과 Backfilling Scheduler가 있다. 특히 IBM SP 시스템에서 주로 사용되는 작업 스케줄러인 LoadLeveler 최신 버전에서는 이전 버전에서도 지원하였던 Backfilling Scheduler 뿐만 아니라 Gang Scheduling 기법을 새롭게 지원하게 되었다. 이에 따라 KISTI 슈퍼컴퓨팅센터에서는 슈퍼컴퓨터 3호기로 신규 도입된 IBM p690 시스템에서 LoadLeveler의 Gang Scheduling 혹은 Backfilling Scheduler 중의 한 가지 기법을 선택하여 서비스 레벨 클래스를 구현하고자 하였다. 이러한 노력의 일환으로 두 가지 스케줄링 기법을 테스트 및 분석하였다. 이에 따르면 Gang Scheduler가 개념상 여러 가지 장점을 가지므로 Backfilling Scheduler에 비하여 서비스 레벨 클래스 구성에는 용이하지만, 불완전한 구현 및 특히 CPU Utilization이 저하되는 심각한 문제점을 가지고 있었다. 따라서 Backfilling Scheduler를 통한 제한적인 서비스 레벨 클래스를 구성하기로 결론지었다.

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