• 제목/요약/키워드: Real-time Operating System

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저전력 시스템을 위한 BET기반 태스크 분할 스케줄링 기법 (A Scheduling Method using Task Partition for Low Power System)

  • 박상오;이재경;김성조
    • 정보처리학회논문지A
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    • 제18A권3호
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    • pp.93-98
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    • 2011
  • 최근 배터리로 동작하는 임베디드 시스템의 사용이 급격히 증가하고 있지만, 현재 배터리 기술의 발전 속도는 임베디드 시스템의 전력 사용량의 증가를 따라가지 못하여, 장시간 사용을 위해서는 배터리의 크기가 커져야 하는 단점이 있다. 내장형 시스템에서 소모하는 전력량은 시스템을 구성하는 하드웨어와 시스템을 구동하는 소프트웨어에 의해 결정된다. 그러나 하드웨어적으로 저전력을 지원하더라도 운영체제 등 소프트웨어 수준에서 이를 활용하지 못하면 절전 효과를 극대화할 수 없다. 따라서 본 논문에서는 모바일 임베디드 시스템 환경에서 멀티미디어 애플리케이션 구동시 BET(Break Even Time)기반 태스크 분할을 이용하여 소비 전력을 감소시키는 스케줄링 기법을 제안한다.

시간 결정성을 보장하는 실시간 태스크 스케줄링 (Deterministic Real-Time Task Scheduling)

  • 조문행;이숭열;이원용;정근재;김용희;이철훈
    • 한국콘텐츠학회논문지
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    • 제7권1호
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    • pp.73-82
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    • 2007
  • 오늘날의 내장형 시스템은 군사 무기체계, 로봇, 인공위성 등과 같이 전통적인 내장형 시스템에서 휴대폰, 디지털 캠코더, PMP, MP3플레이어와 같은 보다 복잡한 응용프로그램 구동을 필요로 하는 휴대용 시스템으로 그 영역을 넓혀가고 있다. 이런 내장형 실시간 시스템은 내장형 시스템의 한정된 자원을 효율적으로 관리하고 시간적 논리적 정확성을 보장하기 위해 실시간 운영체제를 사용한다. 실시간 운영체제의 서비스를 통해 응용프로그래머는 응용프로그램을 구성하는 각 태스크가 시간 결정성에 위배되지 않도록 응용프로그램을 구현할 수 있다. 더욱이, 실시간 운영체제는 시간 결정성 보장을 위해 스케줄링과 문맥교환에 사용되는 시간을 예측할 수 있어야 한다. 본 논문에서는 추가적인 메모리 오버헤드 없이 22r 레벨의 우선순위를 갖는 시스템에서 고정 상수 시간 내에 가장 높은 우선순위를 갖는 태스크를 결정할 수 있는 알고리즘에 대해 기술한다.

가스계 소화시스템용 소화약제 저장용기 누설 검출 무선 시스템 개발 (Development of Monitoring RF System on Leakage of Gas Cylinder in Gaseous Fire Extinguishing System)

  • 소수현;오주환;차철웅;이대근
    • 한국화재소방학회:학술대회논문집
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    • 한국화재소방학회 2008년도 추계학술논문발표회 논문집
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    • pp.7-10
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    • 2008
  • In our study, Monitoring RF System in real-time on leakage of gas cylinder is developed. The system is consisted of Pressure Transmitting part, Main Controller and Operating program. The pressure data of gas cylinder are transmitted to the modem of main controller part by RF module of Pressure Transmitting part and the data received through the modem are recorded in real-time and showed the situation of gas cylinder on the PC monitor. Through the test on the case of the artificial pressure-reduction, the detecting performance. of the developed system is conformed.

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변전소와 차량간의 동기화를 통한 실시간 전차선로 임피던스 예측 기법 연구 (A Study on Real Time Catenary Impedance Estimation Technique using the Synchronized Measuring Data between Substation and Train)

  • 정호성
    • 전기학회논문지
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    • 제62권10호
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    • pp.1458-1464
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    • 2013
  • This paper proposed a new real time catenary impedance estimation technique using synchronized power data from the measured data of operating vehicle and substation for catenary protective relay and fault locator setting. This paper presented estimation equation of catenary impedance using synchronized power data between substation and vehicle of AT feeding system for the performance verification of the proposed technique. Also AC feeding system is modeled through power analysis program and performance was verified through simulation according to various load changes. We verified that average 2.38%(distance equivalent 23.8 m) error appeared between the proposed estimation equation of catenary impedance and power analysis program simulation output in no connection double track system between up track and down track. Furthermore, We confirmed that estimation error is bigger depending on the increasing the distance from substation and vehicle impedance using only using vehicle current when calculating vehicle impedance in connection double track system between up track and down track. But, We confirmed that the proposed technique estimated accurately catenary impedance regardless of vehicle impedance and distance from substation.

자동화된 변전소의 이벤트 발생시 준최적 탐색법에 기반한 모선 재구성 전략의 개발 (Bus Reconfiguration Strategy Based on Local Minimum Tree Search for the Event Processing of Automated Distribution Substation)

  • 고윤석
    • 대한전기학회논문지:전력기술부문A
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    • 제53권10호
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    • pp.565-572
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    • 2004
  • This paper proposes an expert system which can enhance the accuracy of real-time bus reconfiguration strategy by adopting local minimum tree search method and minimize the spreading effect of the fault by considering totally the operating condition when a main transformer fault occurs in the automated substation. The local minimum tree search method to expand the best-first search method. This method has an advantage which can improve the performance of solution within the limits of the real-time condition. The inference strategy proposed expert system consists of two stages. The first stage determines the switching candidate set by searching possible switching candidates starting from the main transformer or busbar related to the event. And, second stage determines the rational real-time bus reconfiguration strategy based on heuristic rules for the obtained switching candidate set. Also, this paper studies the generalized distribution substation modelling using graph theory and a substation database is designed based on the study result. The inference engine of the expert system and the substation database is implemented in MFC function of Visual C++. Finally, the performance and effectiveness of the proposed expert system is verified by comparing the best-first search solution and local minimum tree search solution based on diversity event simulations for typical distribution substation.

Development of a Real-Time Water Quality Monitoring System using Coastal Passenger Ships and PCS Telemetry

  • Jin, Jae-Youll;Park, Jin-Soon;Lee, Jong-Kuk;Park, Kwang-Soon;Lee, Dong-Young;Yum, Ki-Dai
    • Ocean and Polar Research
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    • 제21권2호
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    • pp.117-126
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    • 1999
  • To meet increasing needs for environmentally sustainable management of coastal area, there has been compelling pressure to establish a cost-effective and long-term coastal water quality (CWQ) monitoring system. A remote CWQ monitoring system, STAMP, has been developed and is in operation along the route between Kyema harbor and Anma Island in the southwestern coastal area of Korea. STAMP uses a PCS phone as a telemetry unit to transmit acquired data for monitoring general water quality parameters, and a routinely operating coastal passenger ship or car ferry. STAMP has various merits of low-cost operations; long-term monitoring with secure instrumentation; and stable real-time telemetry of acquired data with-out the loss and noise. It is expected that the system will serve as a very useful tool in the CWQ managing programs of Korea taking the advantage of many coastal passenger ships in various routes including the ships departing from the coastal industrial cities. The acquired data compiled on suspended surface sediment concentrations (SSSC) will be also valuably helpful in understanding the sediment budget across the routes of the vessel.

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직류직권 모타용 보상된 Bang-Bang 전류제어기 개발 (The development of compensated bang-bang curent controller for DC series wound motor)

  • 김종건;이만형;배종일
    • 제어로봇시스템학회:학술대회논문집
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    • 제어로봇시스템학회 1996년도 한국자동제어학술회의논문집(국내학술편); 포항공과대학교, 포항; 24-26 Oct. 1996
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    • pp.52-55
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    • 1996
  • In order to establish the robust current controller design technique of series wound motor driver system. This paper proposes a method of compensated Bang-Bang current control using a series wound motor driver system under improperly variable load. To get minimum time torque control. A compensated Bang-Bang current controller structure is simpler than the structure of PID plus Bang-Bang controller. This paper shows that a general 8 bits microprocessor be used efficiently implementing such an algorithm. The calculation time of software is extremely small when compared with conventional PID plus Bang-Bang a controller. Both nonlinear operating characteristics of Digital switching elements and Describing Function methods are used for the analysis and synthesis. Real time implementation of compensated Bang-Bang current is achieved. Concept design strategy of the control and PWM waveform generation algorithms are presented in the paper.

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분산된 단위 제어기기의 실시간 처리를 위한 접속 모듈의 설계 (Interfacing Module Design for Real Time Processing in Distributed Programmable Devices)

  • 박남수;김정호;이상범
    • 전자공학회논문지B
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    • 제30B권9호
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    • pp.9-17
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    • 1993
  • There are multiple controllers (PLC. LOOP Controller ) which are operating in product line and fabrication line. In those lines, it is necessary to connect various multilple controllers with integrity and coordination. The ways to connect those devices are specified by ISO network standard. In this paper, real time network is designed and implemented for factory automation at lowest possible cost that meets the small and middle size MINI-MAP specifications. Network performance is evaluated by simulation method on data link layer implemented interfacing modules has efficiency in throughput by reducing processing time. The system designed in this paper can be also applied to the field of distributed systems for real time processing.

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Smart Power Management Using RTOS-based Uninterruptable Generator Supply

  • Lee, Chulju;Kang, Kyungtae;Noh, Dong Kun
    • 한국컴퓨터정보학회논문지
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    • 제21권6호
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    • pp.1-7
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    • 2016
  • An uninterruptible power supply (UPS) allows small companies and domestic users to cope with power outages; but existing designs lack flexibility of control and require expensive battery maintenance, with a cost proportional to the outage compensation time. We combine a compact synchronous generator with a battery, with 10% of the capacity that would otherwise be required, to obtain a UPS with reduced maintenance costs for the same performance. Any UPS must respond immediately to a power loss, and our uninterruptible generator supply (UGS) is therefore built around real-time scheduling of its internal operations; this also makes it suitable for integration into the industrial gateway. The UGS is based on a real-time operating system, with an integrated wireless module providing connectivity to a web server, for monitoring and management, which can be performed remotely on a mobile device.

사례기반추론을 이용한 대용량 데이터의 실시간 처리 방법론 : 고혈압 고위험군 관리를 위한 자기학습 시스템 프레임워크 (Data Mining Approach for Real-Time Processing of Large Data Using Case-Based Reasoning : High-Risk Group Detection Data Warehouse for Patients with High Blood Pressure)

  • 박성혁;양근우
    • 한국IT서비스학회지
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    • 제10권1호
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    • pp.135-149
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    • 2011
  • In this paper, we propose the high-risk group detection model for patients with high blood pressure using case-based reasoning. The proposed model can be applied for public health maintenance organizations to effectively manage knowledge related to high blood pressure and efficiently allocate limited health care resources. Especially, the focus is on the development of the model that can handle constraints such as managing large volume of data, enabling the automatic learning to adapt to external environmental changes and operating the system on a real-time basis. Using real data collected from local public health centers, the optimal high-risk group detection model was derived incorporating optimal parameter sets. The results of the performance test for the model using test data show that the prediction accuracy of the proposed model is two times better than the natural risk of high blood pressure.