The purpose of this paper is to present a modified version of the ant colony system (ACS) algorithm. The modified ACS algorithm is faster and it has a better performance than the standard ACS algorithm. We have establ...
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The purpose of this paper is to present a modified version of the ant colony system (ACS) algorithm. The modified ACS algorithm is faster and it has a better performance than the standard ACS algorithm. We have established a set of local rules/modifications, that do improve the performance of the standard ACS and these are reported here.
In InISAR system, the pixels between two ISAR images derived from corresponding antennas usually do not register properly without prior compensation. A three-dimension motion compensation method, or 3D focusing, is pu...
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The capacity to generalize is the most important characteristic in neural networks. However, the generalization capacity is lost when over-fitting occurs during the neural network training process; i.e., although the ...
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The capacity to generalize is the most important characteristic in neural networks. However, the generalization capacity is lost when over-fitting occurs during the neural network training process; i.e., although the error after the training process is very small, when new data is presented to the neural network the error is large. An approach aiming to improve the neural network generalization capacity is presented in this work.
An approach aiming to formulate the mobile network resource allocation problem is proposed here. In order to formulate the resource allocation problem, the way network resources are to be counted is defined. Then, the...
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An approach aiming to formulate the mobile network resource allocation problem is proposed here. In order to formulate the resource allocation problem, the way network resources are to be counted is defined. Then, the resource allocation problem is expressed as a multidimensional knapsack problem. The knapsack problem is relaxed and a constrained optimisation linear programming problem is obtained. A series of pseudo-utility values is obtained from the solution of the linear programming problem. The pseudo-utility values are used to establish an order by which the calls/terminals/users are to be attended by the network.
I/O intensive applications have posed great challenges to computational scientists. A major problem of these applications is that users have to sacrifice performance requirements in order to satisfy storage capacity r...
I/O intensive applications have posed great challenges to computational scientists. A major problem of these applications is that users have to sacrifice performance requirements in order to satisfy storage capacity requirements in a conventional computing environment. Further performance improvement is impeded by the physical nature of these storage media even when state-of-the-art I/O optimizations are employed. In this paper, we present a distributed multi-storage resource architecture, which can satisfy both performance and capacity requirements by employing multiple storage resources. Compared to a traditional single storage resource architecture, our architecture provides a more flexible and reliable computing environment. This architecture can bring new opportunities for high performance computing as well as inherit state-of-the-art I/O optimization approaches that have already been developed. It provides application users with high-performance storage access even when they do not have the availability of a single large local storage archive at their disposal. We also develop an Application Programming Interface (API) that provides transparent management and access to various storage resources in our computing environment. Since I/O usually dominates the performance in I/O intensive applications, we establish an I/O performance prediction mechanism which consists of a performance database and a prediction algorithm to help users better evaluate and schedule their applications. A tool is also developed to help users automatically generate performance data stored in databases. The experiments show that our multi-storage resource architecture is a promising platform for high performance distributed computing.
Addressed is the problem of state estimation for dynamic Markovian jump systems (MJS) with unknown transitional probability matrix (TPM) of the embedded Markov chain governing the system jumps. Based on recent authors...
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In InISAR system, the pixels between two ISAR images derived from corresponding antennas usually do not register properly without prior compensation. A three-dimension motion compensation method, or 3D focusing, is pu...
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In InISAR system, the pixels between two ISAR images derived from corresponding antennas usually do not register properly without prior compensation. A three-dimension motion compensation method, or 3D focusing, is put forward in this paper. While the multi-antenna-pair configuration in radar system, the angular motion parameters both in the azimuth and pitching are estimated accurately and the phase unwrapping processing can be avoided in the procedure of obtaining phase unambiguous. Simulation data is used to illustrate the accuracy of the proposed method. The method has also been extended to stripmap SAR for the interferometric 3D imaging of moving and/or man-made objects.
This paper introduces a post-filtering algorithm that reduces the blocking artifacts caused by quantizing to zero the high frequency DCT coefficients. First, the algorithm detects the blocks that only have a DC coeffi...
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This paper introduces a post-filtering algorithm that reduces the blocking artifacts caused by quantizing to zero the high frequency DCT coefficients. First, the algorithm detects the blocks that only have a DC coefficient. Second, the blocking artifacts are reduced by averaging the DC coefficient of the block in question and the DC coefficients of the neighboring four 8/spl times/8 DCT blocks. These blocking artifacts are further reduced by predicting the low-frequency AC coefficients from the DC coefficient within a 3/spl times/3 array of blocks. Experimental results show that averaging the DC coefficients and predicting the low frequency AC coefficients definitely help to remove blocking artifacts in smooth background areas of the image.
One of the major advantages of multiple-pulses Laser Thermal Annealing (LTA) with moderate energy fluence is that good dopant activation can be achieved without further increases in junction depth by successive pulses...
One of the major advantages of multiple-pulses Laser Thermal Annealing (LTA) with moderate energy fluence is that good dopant activation can be achieved without further increases in junction depth by successive pulses. It is demonstrated that when the laser fluence is adjusted to a value that can melt the preamorphization implantation (PAI) layer but not the underlying silicon substrate, PAI layer depths control the junction depths. Hence, it is desirable to operate LTA in this regime since this allows for a tighter process control as opposed to when the junction depth is controlled solely by the laser fluence. High Resolution Transmission Electron Microscopy (HR-TEM) micrographs show that the degree of damage repair depends on the amorphous layer thickness as well as the number of pulses. Our study allows for the evaluation of the maximum allowable PAI depth for a given number of pulses in order to fully remove the damage caused by the PAI.
Hybrid hidden Markov models (HMM) and multi-layer (MLP) neural networks have been applied great success in speech recognition problems. The hybrid system can be applies to sequence classification problems, where multi...
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Hybrid hidden Markov models (HMM) and multi-layer (MLP) neural networks have been applied great success in speech recognition problems. The hybrid system can be applies to sequence classification problems, where multiple looks at an object are used to determine class membership. This presents a utility to perform feature-level fusion in such problems. A new gradient descent algorithm is employed to find optimal parameters within the HMM/MLP model. This scheme has been applied to a data set which contains sonar backscattered signals for four underwater objects for classification as mine-like or non-mine-like.
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