• 제목/요약/키워드: Adaptive applications

검색결과 859건 처리시간 0.032초

Quality-of-Service Mechanisms for Flow-Based Routers

  • Ko, Nam-Seok;Hong, Sung-Back;Lee, Kyung-Ho;Park, Hong-Shik;Kim, Nam
    • ETRI Journal
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    • 제30권2호
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    • pp.183-193
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    • 2008
  • In this paper, we propose quality of service mechanisms for flow-based routers which have to handle several million flows at wire speed in high-speed networks. Traffic management mechanisms are proposed for guaranteed traffic and non-guaranteed traffic separately, and then the effective harmonization of the two mechanisms is introduced for real networks in which both traffic types are mixed together. A simple non-work-conserving fair queuing algorithm is proposed for guaranteed traffic, and an adaptive flow-based random early drop algorithm is proposed for non-guaranteed traffic. Based on that basic architecture, we propose a dynamic traffic identification method to dynamically prioritize traffic according to the traffic characteristics of applications. In a high-speed router system, the dynamic traffic identification method could be a good alternative to deep packet inspection, which requires handling of the IP packet header and payload. Through numerical analysis, simulation, and a real system experiment, we demonstrate the performance of the proposed mechanisms.

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Dynamic Synchronous Phasor Measurement Algorithm Based on Compressed Sensing

  • Yu, Huanan;Li, Yongxin;Du, Yao
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제14권1호
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    • pp.53-76
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    • 2020
  • The synchronous phasor measurement algorithm is the core content of the phasor measurement unit. This manuscript proposes a dynamic synchronous phasor measurement algorithm based on compressed sensing theory. First, a dynamic signal model based on the Taylor series was established. The dynamic power signal was preprocessed using a least mean square error adaptive filter to eliminate interference from noise and harmonic components. A Chirplet overcomplete dictionary was then designed to realize a sparse representation. A reduction of the signal dimension was next achieved using a Gaussian observation matrix. Finally, the improved orthogonal matching pursuit algorithm was used to realize the sparse decomposition of the signal to be detected, the amplitude and phase of the original power signal were estimated according to the best matching atomic parameters, and the total vector error index was used for an error evaluation. Chroma 61511 was used for the output of various signals, the simulation results of which show that the proposed algorithm cannot only effectively filter out interference signals, it also achieves a better dynamic response performance and stability compared with a traditional DFT algorithm and the improved DFT synchronous phasor measurement algorithm, and the phasor measurement accuracy of the signal is greatly improved. In practical applications, the hardware costs of the system can be further reduced.

제한용량이 있는 설비입지결정 문제에 대한 적응형 평균치교차분할 알고리즘 (Adaptive Mean Value Cross Decomposition Algorithms for Capacitated Facility Location Problems)

  • 김철연;최경현
    • 대한산업공학회지
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    • 제37권2호
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    • pp.124-131
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    • 2011
  • In this research report, we propose a heuristic algorithm with some primal recovery strategies for capacitated facility location problems (CFLP), which is a well-known combinatorial optimization problem with applications in distribution, transportation and production planning. Many algorithms employ the branch-and-bound technique in order to solve the CFLP. There are also some different approaches which can recover primal solutions while exploiting the primal and dual structure simultaneously. One of them is a MVCD (Mean Value Cross Decomposition) ensuring convergence without solving a master problem. The MVCD was designed to handle LP-problems, but it was applied in mixed integer problems. However the MVCD has been applied to only uncapacitated facility location problems (UFLP), because it was very difficult to obtain "Integrality" property of Lagrangian dual subproblems sustaining the feasibility to primal problems. We present some heuristic strategies to recover primal feasible integer solutions, handling the accumulated primal solutions of the dual subproblem, which are used as input to the primal subproblem in the mean value cross decomposition technique, without requiring solutions to a master problem. Computational results for a set of various problem instances are reported.

A Real-time Pedestrian Detection based on AGMM and HOG for Embedded Surveillance

  • Nguyen, Thanh Binh;Nguyen, Van Tuan;Chung, Sun-Tae
    • 한국멀티미디어학회논문지
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    • 제18권11호
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    • pp.1289-1301
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    • 2015
  • Pedestrian detection (PD) is an essential task in various applications and sliding window-based methods utilizing HOG (Histogram of Oriented Gradients) or HOG-like descriptors have been shown to be very effective for accurate PD. However, due to exhaustive search across images, PD methods based on sliding window usually require heavy computational time. In this paper, we propose a real-time PD method for embedded visual surveillance with fixed backgrounds. The proposed PD method employs HOG descriptors as many PD methods does, but utilizes selective search so that it can save processing time significantly. The proposed selective search is guided by restricting searching to candidate regions extracted from Adaptive Gaussian Mixture Model (AGMM)-based background subtraction technique. Moreover, approximate computation of HOG descriptor and implementation in fixed-point arithmetic mode contributes to reduction of processing time further. Possible accuracy degradation due to approximate computation is compensated by applying an appropriate one among three offline trained SVM classifiers according to sizes of candidate regions. The experimental results show that the proposed PD method significantly improves processing speed without noticeable accuracy degradation compared to the original HOG-based PD and HOG with cascade SVM so that it is a suitable real-time PD implementation for embedded surveillance systems.

동적 순환 메모리 할당 기법을 이용한 메모리 누수 검출 (Memory Leak Detection Using Adaptive Cyclic Memory Allocation)

  • 임우섭;한환수;이상원
    • 한국정보과학회논문지:소프트웨어및응용
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    • 제37권10호
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    • pp.760-767
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    • 2010
  • 메모리 누수 검출을 위한 많은 도구들이 존재한다. 하자만 큰 시간적, 공간적 오버헤드로 인해 규모가 큰 제품의 개발자들은 사용을 꺼리게 된다. 이에 우리는 개발자들이 자신이 개발한 모듈만을 대상으로 유닛 테스트 시에 메모리 누수를 검출할 수 있는 기법을 고안하였다. 우리는 고정 크기 순환적 메모리 할당 기법을 우리의 목적에 맞게 확장함으로써 이것을 달성하였으며 우리의 기법을 평가하기 위해서, 간단한 데이터베이스 관리 시스템을 구현하여 그 중 일부 모듈을 대상으로 테스트 하였다. 실험 결과 우리 기법은 유닛 테스트 시에 적은 시간적, 공간적 오버헤드와 거짓 검출을 가졌다.

Implementation and Performance Evaluation of TMSC6711 DSP-based Digital Beamformer

  • Rashid, Zainol Abidin Abdul;Islam, Mohammad Tariqul;Chang Sheng , Liew
    • 정보통신설비학회논문지
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    • 제5권1호
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    • pp.25-36
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    • 2006
  • This paper discusses the implementation and performance evaluation of a DSP-based digital beamformer using the Texas Instrument TMSC6711 DSP processor for smart antenna applications. Two adaptive beamforming algorithms which served as the brain for the beamformer, the Normalized Least-Mean-Square (NLMS) and the Constant Modulus Algorithms (CMA) were embedded into the processor and evaluated. Result shows that the NLMS-based digital beamformer outperforms the CMA-based digital beamformer: 1)For NLMS algorithm, the antenna steers to the direction of the desired user even at low iteration value and the suppression level towards the interferer increases as the number of iteration increase. For CMA algorithm, the beam radiation pattern slowly steers to the desired user as the number of iteration increased, but at arate slower than NLMS algorithm and the sidelobe level is shown to increases as the number of iteration increase. 2) The NLMS algorithm has faster convergence than CMA algorithm and the error convergence for CMA algorithm sometimes is subject to misadjustment.

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그리드 환경의 적응형 오류 극복 관리 시스템 설계 및 구현 (Design and Implementation of Adaptive Fault-Tolerant Management System over Grid)

  • 김은경;김지영;김윤희
    • 정보처리학회논문지A
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    • 제15A권3호
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    • pp.151-154
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    • 2008
  • 서비스 이동과 자원 상태 변화 등 실행 환경 변화가 빈번히 발생하는 그리드 컴퓨팅 환경은 다양한 응용 프로그램 작업 환경을 지원하고 사용자에게 끊임없는 작업 환경을 보장하기 위하여 고가용성을 지원하는 미들웨어가 필수적으로 필요하다. 기존의 분산 환경 미들웨어 역시 고가용성 지원 서비스가 일부 연구자에 의해 진행되고 있으나 공개표준은 아니며 다양한 그리드 서비스에 대한 고려가 없다. 본 논문에서는 환경에 따라 적응하는 서비스 미들웨어 런타임 서비스 관리 시스템을 통해 자율적으로 작업 환경을 재구성하도록 하여 미들웨어의 가용성을 증대시키고 안정적으로 서비스의 계속성과 데이터 및 자료의 일관성을 보장하는 방법을 제시하고 프로토타입 Wapee(Web-Service based Application Execution Environment)를 통해 실제 환경에서 적용 가능성을 확인한다.

플랫폼 독립적 컴포넌트 기반 개발을 위한 XML-SOAP 활용 객체지향프레임워크 SOAF (An Object-oriented Framework SOAF utilizing MXL-SOAP for Platform-Independent Component-Based Development)

  • 장진영;최용선
    • 한국정보과학회논문지:소프트웨어및응용
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    • 제31권8호
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    • pp.969-979
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    • 2004
  • 최근 대부분의 대규모 기업정보시스템은 기능재활용성, 다종의 시스템 리소스, 다중 플랫폼 등을 지원하기 위해 다층구조의 미들웨어 또는 프레임워크를 기반으로 하고 있다. 그러나 이러한 다층 및 다중 플랫폼 분산 구조는 미들웨어간의 컴포넌트 및 메타정보에 대한 상호운용성 문제를 제기한다. 본 논문은 추상화 프로그래밍 스타일과 XML-SOAP에 기반한 컴포넌트 보존 방법을 통해서, 다종의 리소스를 지원하고 플랫폼에 독립적인 컴포넌트 기반 개발을 가능케 하는 객체지향프레임워크 SOAF (Simple Object Application Framework)을 제시하고 그 아키텍쳐 및 주요 특징에 대해 소개한다.

ALM-FNN 및 FLC 제어기에 의한 SynRM 드라이브의 고성능 속도와 전류제어 (High Performance Speed and Current Control of SynRM Drive with ALM-FNN and FLC Controller)

  • 최정식;고재섭;정동화
    • 전기학회논문지P
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    • 제58권3호
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    • pp.249-256
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    • 2009
  • The widely used control theory based design of PI family controllers fails to perform satisfactorily under parameter variation, nonlinear or load disturbance. In high performance applications, it is useful to automatically extract the complex relation that represent the drive behaviour. The use of learning through example algorithms can be a powerful tool for automatic modelling variable speed drives. They can automatically extract a functional relationship representative of the drive behavior. These methods present some advantages over the classical ones since they do not rely on the precise knowledge of mathematical models and parameters. The paper proposes high performance speed and current control of synchronous reluctance motor(SynRM) drive using adaptive learning mechanism-fuzzy neural network (ALM-FNN) and fuzzy logic control (FLC) controller. The proposed controller is developed to ensure accurate speed and current control of SynRM drive under system disturbances and estimation of speed using artificial neural network(ANN) controller. Also, this paper proposes the analysis results to verify the effectiveness of the ALM-FNN, FLC and ANN controller.

Actinobacteria Isolation from Metal Contaminated Soils for Assessment of their Metal Resistance and Plant Growth Promoting (PGP) Characteristics

  • Tekaya, Seifeddine Ben;Tipayno, Sherlyn;Chandrasekaran, Murugesan;Yim, Woo-Jong;Sa, Tong-Min
    • 한국토양비료학회지
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    • 제45권4호
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    • pp.593-601
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    • 2012
  • Heavy metals and metalloids removal can be considered as one of the most important world challenges because of their toxicity and direct impact on human health. Many processes have been introduced but biological processes of remediation seem to offer the most suitable solution in terms of efficiency and low cost. Actinobacteria constitute one of the major microbial populations in soil, and this can be attributed to their adaptive morphological structure as well as their exceptional metabolic power. Among microbes, actinobacteria are morphologic intermediate between fungi and bacteria. Studies on microbial diversities in metal contaminated lands have shown that actinobacteria may constitute a dominantly active microbiota in addition to ${\alpha}$ Proteobacteria. Furthermore, isolation studies have shown metal removal mechanisms which are reminiscent of notable multiresistant strains, such as Cupriavidus metallidurans. Apart from members of genus Streptomyces, which produce more than 90% of commercialized antibiotics, and the nitrogen fixing Frankia, little attention has been given to other members of this phylum. This is because of difficult culture condition requirements and maintenance. In this review, we focused on specific isolation of actinobacteria and their potential applications in metal bioremediation and plant growth promotion.