A new method is proposed to calculate the background in video sequences. The optical flow is estimated to determine the local regions occupied by moving objects. The background image is calculated by an efficient aver...
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Laser absorption sensors for CO2/CO detection using quantum cascade lasers at 4-5 μm and formaldehyde detection using an interband cascade laser at 3.6 μm are developed for combustion chemical kinetics study and env...
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This article discusses about the application of unmanned vehicles networks in several areas related to power systems. The main topics are related to the planning and mission control tools as well as coordination, comm...
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We study a networked state estimation problem for a linear system with multiple sensors, each of which transmits its measurements to a central estimator via a lossy communication network for computing the minimum mean...
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Graph partitioning, or graph cut, has been studied by several authors as a tool for image segmentation. It refers to partitioning a graph into several subgraphs such that each of them represents a meaningful object of...
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As users begin to demand applications with superior user experience and high service quality, asymmetric multicore processors are increasingly adopted in embedded systems due to their architectural benefits in improve...
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ISBN:
(纸本)9781467378567
As users begin to demand applications with superior user experience and high service quality, asymmetric multicore processors are increasingly adopted in embedded systems due to their architectural benefits in improved performance and power savings. While fair-share scheduling is a crucial kernel service for such applications, it is still in an early stage when it comes to performance-asymmetric multicore architecture. In this paper, we propose a new fair-share scheduler by adopting the notion of scaled CPU time which reflects performance asymmetry between different types of cores. Our scheduler can work with kernel's dynamic resource control mechanisms since it makes use of a varying performance ratio between cores and thus captures dynamic performance asymmetry such as a core's changing operating frequency. We develop our approach on top of ARM's big. LITTLE architecture which runs Linaro's scheduling framework. Since Linaro's relies on the completely fair scheduler(CFS) of the Linux kernel and CFS is virtual runtime based, we revise the notion of virtual runtime using the scaled CPU time and incorporate it into the proposed approach. As a result, our approach achieves fair-share scheduling by simply balancing tasks' virtual runtimes. To demonstrate its effectiveness, we have implemented the proposed scheduler and performed a series of experiments on ARM's Versatile Express TC2 board. We ran the SPEC CPU2006 and PARSEC benchmarks for three minutes and measured tasks' virtual runtimes. We observed that the maximum virtual runtime difference was only 0.69 seconds in our approach while the original CFS yielded the maximum difference of 8.35 seconds.
This paper proposes a Matlab object oriented application based on Kohonen Self- Organizing Maps (SOM) able to classify consumers’ daily load profile. Firstly, the characteristics of Kohonen self- organizing maps are ...
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This paper proposes a Matlab object oriented application based on Kohonen Self- Organizing Maps (SOM) able to classify consumers’ daily load profile. Firstly, the characteristics of Kohonen self- organizing maps are briefly described in order to underline the advantages and disadvantages of these types of neural networks in classifications approaches. In the second part, data used for classification of load daily profiles is processed using statistical methods and Matlab. The result of these computations is a data base composed of daily load profiles used for SOM training. In the third part, the proposed software is tested on several scenarios in order to classify different consumers’ load profiles.
A supercritical (SC) once-through boiler unit is a typical multivariable system with large inertia and nonlinear, slow time-variant, and time-delay characteristics, which often makes the coordinated control quality de...
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The vision of smart grid relies heavily on the communication technologies as they provide a desirable infrastructure for real-time measurement, transmission, decision and control. But various attacks such as eavesdrop...
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ISBN:
(纸本)9781450324694
The vision of smart grid relies heavily on the communication technologies as they provide a desirable infrastructure for real-time measurement, transmission, decision and control. But various attacks such as eavesdropping, information tampering and malicious control command injection that are hampering the communication in Internet, would impose great threat on the security and stability of smart grids. In this paper, a State Estimation-based Dynamic Encryption (SEDE) scheme is proposed to secure the communication in smart grid. Several states of power system are employed as the common secrets to generate a symmetric key at both sides, which are measured on the terminals and calculated on the control center using state estimation. The advantages of SEDE are 1) the common secrets, used to generate symmetric key, are never exchanged in the network due to the state estimation, that observably improves the security of SEDE;2) the measurement and state estimation are the essential functions on the terminals and control center in power system;3) the functions, applied to encrypt and decrypt data, are simple and easy-implemented, such as XOR, Hash, rounding, etc. Thus, SEDE is considered as an inherent, light-weight and high-security encryption scheme for smart gird. In the experiments, SEDE is simulated on a 4-bus power system to demonstrate the process of state estimation, key generation and error correction. Copyright 2014 ACM.
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