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Error metric is the key problem for generating level of detail of terrain surface, which affects the deviation between the number of triangles and triangular mesh. After analyzing various present methods of calculating error metric, we present an improved algorithm based on roughness. This paper takes the roughness which expresses relief amplitude to be an factor, by which we calculate the error metric,...
In this paper, we present a novel adaptive step-size and block-size frequency-domain block least mean square (ASB-FBLMS) algorithm. The convergence speed and the steady stage error are two conflicting factors in the traditional frequency-domain block least mean square (FBLMS) algorithm. While our algorithm optimally increase the convergence speed while maintaining or reducing the steady stage error...
SPECjvm2008 is a new benchmark program suite for measuring client-side Java runtime environment. It replaces JVM98, which has been used for the same purpose for more than ten years. It consists of 38 benchmark programs grouped into eleven categories and has wide variety of workloads from computation-intensive kernels to XML file processors. In this paper, we present the results of running SPEC-jvm2008...
Objective quality assessment plays a very important role in the video applications, as they promise the means to evaluate the performance of acquisition, display, coding and communication systems. Objective video quality assessment still has a long way to go before it reaches the level of success. In this paper, we propose novel quality metrics for video sequences. These metrics are capable of capturing...
According to the actual situation in the integrated statistical work of coal enterprise in our country now, we determined using the exploitation method of combining SAD and object oriented by analyzing the system's function characteristic, has established the composite structure model which C/S and B/S unify. The system has realized many essential functions such as the technical specification dynamic...
Decomposition and scheduling are two major challenges in hardware and software developments of multiprocessor systems. The introduced EvoMP (Evolvable MultiProcessor) is a novel NoC-based homogeneous MPSoC system that performs decomposition and scheduling using evolutionary algorithms at run-time. A hardware genetic core was used in first version of this platform to perform these two tasks. This core...
Simulation is a significant way for performancespsila evaluations in switching and scheduling. The simulation software currently being existed has somewhat limitations in inheritability and extensibility. Based on current switching fabrics, by employing system level design method and object oriented technology, we designed and implemented a simulation platform called SPES for switching and scheduling...
Information and digital age presents tremendous opportunity to the development of embedded products and shows the embedded market a prosperous prospect, Web server embedded in equipment can provide uniform operation and control interface based on browser mode for any legal user accessing to its network, browser has become the front control board of equipment and a hot spot for development in recent...
This paper proposed methods for motorcycle and license plate detection using fixed-size vertical projection and multi-part mean analysis. The method consisted of two parts: a motorcycle detection and a license plate detection. Fixed-size vertical projection and neural network were used in the motorcycle detection process. Vertical and horizontal scanning was used to extract features for the neural...
The performance in simultaneous multithreading (SMT) processors is mainly determined by the distribution of the common resources among the threads. However, resource distribution methods often take cycles to calculate a resource allocation solution. Implementing a many-cycles resource distributor in the critical pipeline path will result in an innegligible impact on SMT processor performance. This...
A time-series prediction model using a Bilinear Recurrent Neural Network (BRNN) is proposed in this paper. The BRNN model used in this paper is the Multiresolution architecture with an adaptive training mode. The Multiresolution Bilinear Recurrent Neural Network (MBRNN) is based on the BLRNN that has been proven to have robust abilities in modeling and predicting time series. The proposed MBRNN-based...
This paper presents an image coding technique based on contourlet transform. The redundancy of the contourlet transform is eliminated by switching the LP decomposition step to separable wavelet transform. The transform is then optimized through a wavelet coefficient weighting process in order to enhance the visual quality in the image domain, and with that the directional filter bank(DFB) are employed...
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