RFID technology holds the promise of real-time identifying, locating and monitoring physical objects. Event processing is the key part of the RFID middleware. Complex Event processing (CEP) technology is commonly used...
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RFID technology holds the promise of real-time identifying, locating and monitoring physical objects. Event processing is the key part of the RFID middleware. Complex Event processing (CEP) technology is commonly used...
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Simultaneous multi-threading and single-chip multiprocessing are two methods of increasing the throughput of the central processing unit of a computer. Intel's Hyper-Threading Technology is one form of simultaneou...
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ISBN:
(纸本)9780889867840
Simultaneous multi-threading and single-chip multiprocessing are two methods of increasing the throughput of the central processing unit of a computer. Intel's Hyper-Threading Technology is one form of simultaneous multi-threading that creates two states in a single processor allowing it to execute two threads of one process simultaneously. This produces two logical processors, but they must share the resources (cache and system bus, for example) of a single processor. Single-chip multiprocessing, on the other hand, is actually two physical processors each with its own resources. In this paper, we examine what effect each of these technologies has on the performance of a distributed real-time database system when the processor becomes the bottleneck of each of the system's machines.
Motivated by a peer-to-peer estimation algorithm in which adaptive weights are optimized to minimize the estimation error variance, we formulate and solve a novel non-convex Lipschitz optimization problem that guarant...
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ISBN:
(纸本)9781424451081
Motivated by a peer-to-peer estimation algorithm in which adaptive weights are optimized to minimize the estimation error variance, we formulate and solve a novel non-convex Lipschitz optimization problem that guarantees global stability of a large class of peer-to-peer consensus-based algorithms for wireless sensor network. Because of packet. losses, the solution of this optimization problem cannot be achieved efficiently with either traditional centralized methods or distributed Lagrangian message passing. The prove that the optimal solution can be obtained by solving a set of nonlinear equations. A fast distributed algorithm, which requires only local computations, is presented for solving these equations. Analysis and computer simulations illustrate the algorithm and its application to various network topologies.
In this paper, we propose the use of multiple description coding to increase the robustness of distributed video coding while keeping good rate-distortion performance. The video sequence is structured into key frames ...
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ISBN:
(纸本)9781424423538
In this paper, we propose the use of multiple description coding to increase the robustness of distributed video coding while keeping good rate-distortion performance. The video sequence is structured into key frames and Wyner-Ziv frames. For each type of frame, two descriptions are generated by a multiple description scalar quantizer and sent on a loss-prone channel. When both Wyner-Ziv descriptions are received, they are jointly decoded along with the side information. We investigate the influence of the amount of redundancy and of the iterative decoding of the descriptions on the performance.
distributed video coding performances strongly depend on the side information quality, built at the decoder. In multi-view schemes, correlations in both time and view directions are exploited, obtaining in general two...
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In addition to their role as simulation engines, modern supercomputers can be harnessed for scientific visualization. Their extensive concurrency, parallel storage systems, and high-performance interconnects can mitig...
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Embedded microprocessors require efficient supply management systems to optimize its power consumption and to enhance their calculation potentials. Typically, the modules performing this function are known as Voltage ...
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ISBN:
(纸本)9781424456956
Embedded microprocessors require efficient supply management systems to optimize its power consumption and to enhance their calculation potentials. Typically, the modules performing this function are known as Voltage Regulator Modules (VRMs). It is widely adapted that current-programmed regulation techniques own leveraging skills in the control of this kind of power converters. However, these strategies require a fine inductor-current sensing to achieve accurate results. One critical issue in the inductor-current sensing is the effect of parasitic inductances in the measurement loop. This undesirable effect produces a considerable mismatch between the real inductor-current waveform and the equivalent voltage image captured thanks to the shunt resistance. Further, this unwanted deviation augments as long as the current value is increased. As a result, this problem makes loosely the data obtained. However, today's commercial digital controllers, like FPGAs, can be used to reduce overwhelmingly the aforementioned drawback. The presented work exploits some intrinsic advantages of FPGAs such as its great processing speed and its parallel working mode to overcome this drawback. Therefore, a new digital auto-tuning system is proposed in which this undesirable effect is treated and compensated. The obtained result is a digital signal which avoids the parasitic effect of the inductance in the measurement loop. In the last part of our work, some experimental results, using a FPGA, validate the advantages of the proposed method.
In this paper, a new method for line detection at sport images using multi-agent systems is proposed. For this purpose, we introduced some agents. Each agent can recognize special section of an image, for example one ...
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ISBN:
(纸本)9780769535913
In this paper, a new method for line detection at sport images using multi-agent systems is proposed. For this purpose, we introduced some agents. Each agent can recognize special section of an image, for example one agent for recognition of sport image's background (green pixels) and another for recognition of images line (white pixels). The results show good performance with respect to other methods, for example, Hough algorithm. This method has many advantages such as simplicity and high speed implementation, availability of line and background separately, cancelation of unnecessary sections such as viewer sections and parallel implementation ability.
This paper presents an efficient parallel implementation on Graphics processing Units (GPUs) for the Simplified PN (SPN) calculations in the 3D case. For a nuclear operator such as EDF, the time required to compute nu...
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ISBN:
(纸本)9781615673490
This paper presents an efficient parallel implementation on Graphics processing Units (GPUs) for the Simplified PN (SPN) calculations in the 3D case. For a nuclear operator such as EDF, the time required to compute nuclear reactor core simulations is rather critical. The SPN method provides a convenient trade-off between accuracy and numerical complexity and is used in several industrial simulations. The parallelization of the algorithm should allow to reduce the computation time required to solve the eigenvalue problem. To solve the problem on distributed memory machines such as PC clusters, Domain Decomposition methods have been investigated. Complementary to this approach, this work aims at using emerging massively parallel processors such as the GPUs. Based on a fine grained parallelism, this solution offers the opportunity to achieve good performances at very low cost. Indeed, GPUs provide a large computational power and some specific optimizations allow to near the hardware limits. Our GPU implementation solves 3D SPN problems 30 times faster than its sequential CPU counterpart.
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