In this paper, the authors propose a scheme of multilevel parallel scheduling and traffic balancing, based on multiple constraints of packet switch network. By linear mapping tiny subsets of route space to network lin...
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The 3-D Nanoelectronic Modeling Tool (NEMO 3-D) is an electronic structure simulation code for the analysis of quantum dots, quantum wells, nanowires, and impurities. NEMO 3-D uses the Valence Force Field (VFF) method...
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This letter presents a simple but accurate analytical model to evaluate the throughput of IEEE 802.11 distributed coordination function in non-saturated conditions. The influence of offered load on the throughput of b...
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This letter presents a simple but accurate analytical model to evaluate the throughput of IEEE 802.11 distributed coordination function in non-saturated conditions. The influence of offered load on the throughput of both basic and RTS/CTS access mechanisms are analyzed and compared. It's shown that basic access scheme can achieve the same maximal throughput as that of RTS/CTS mechanism in non-saturated conditions while the latter is robust to the number of contending stations compared to basic mechanism. The analytical results are validated by extensive simulations.
In recent years, with the rapid development of network technique and network bandwidth, the network attacking events for web servers such as DOS/PROBE are becoming more and more frequent. In order to detect these type...
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We present an event-driven video adaptation system in this paper. Events are detected by audio/video analysis and annotated by the description schemes (DSs) provided by MPEG-7 multimedia description schemes (MDSs). An...
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We present an event-driven video adaptation system in this paper. Events are detected by audio/video analysis and annotated by the description schemes (DSs) provided by MPEG-7 multimedia description schemes (MDSs). And then, adaptation take account of users' preference of events and network characteristic to adapt video by event selection and frame dropping as following three steps: 1) the event information is parsed from MPEG-7 annotation XML file together with bitstream to generate generic bitstream syntax description (gBSD), 2) users' preference, network characteristic and adaptation QoS (AQoS) are considered for making adaptation decision, 3) adaptation engine automatically parses adaptation decisions and gBSD to achieve adaptation. Different from most existing adaptation work, the system adapts video by interesting events according to users' preference. To achieve a generic adaptation solution, the system is developed following MPEG-7 and MPEG-21 standards. gBSD based adaptation avoids complex video computation. 30 students from various departments test the system with satisfaction. Although, the system is tested on basketball video adaptation so far, it is easy to extend to other video domains
This paper presents a rate control algorithm for the dominant discrete cosine transform (DCT)-based video coding. It is developed based on a more accurate rate-distortion (R-D) model, specifically, a new distortion-qu...
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This paper presents a rate control algorithm for the dominant discrete cosine transform (DCT)-based video coding. It is developed based on a more accurate rate-distortion (R-D) model, specifically, a new distortion-quantization (D-Q) model. Different from previous work that employs a uniform D-Q model or an empirical distortion model, our work proposes an accurate distortion model, which can quantitatively describe the relationship of distortion with respect to video source information and the selected quantization resolution. Based on understanding the distribution of source frequency coefficients and the quantization theory, our distortion model is proposed. This distortion model is combined with the classical R-D theory to generate a new rate model. Finally, the proposed model is implemented on an MPEG-4 encoder to perform rate control for a low-delay visual communication system. We also compare the proposed rate control with the VM18 rate control and it has been shown to be more efficient
This paper presents a rate control algorithm for the dominant discrete cosine transform (DCT)-based video *** is developed based on a more accurate rate-distortion (RD) model,specifically,a new distortion-quantization...
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This paper presents a rate control algorithm for the dominant discrete cosine transform (DCT)-based video *** is developed based on a more accurate rate-distortion (RD) model,specifically,a new distortion-quantization (D-Q) *** from previous work that employs a uniform D-Q model or an empirical distortion model,our work proposes an accurate distortion model,which can quantitatively describe the relationship of distortion with respect to video source information and the selected quantization *** on understanding the distribution of source frequency coefficients and the quantization theory,our distortion model is *** distortion model is combined with the classical R-D theory to generate a new rate ***,the proposed model is implemented on an MPEG-4 encoder to perform rate control for a low-delay visual communication *** also compare the proposed rate control with the VM18 rate control and it has been shown to be more efficient.
Detection,representation,and training are the three main issues that need to be resolved in an object recognition or classification *** possible method is using collection of regions to represent object categories,whe...
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Detection,representation,and training are the three main issues that need to be resolved in an object recognition or classification *** possible method is using collection of regions to represent object categories,where each region has a distinctive *** this paper we present a region-based image model which will learn and classify objects by training the image model with variant of the objects within the same *** object category is represented by a constellation of representative *** regions are detected by salient region detector over suitable *** standard disjunction rules is applied to construct the image *** the learning procedure,the distance between any two regions is calculated and accumulated as a measure which is inversely proportional to the probability of a *** regions with large distances will be removed from the image model *** a small set of regions will be kept as the image *** image model can be used to retrieve similar images or for object *** results show the method is easy to calculate and efficient.
Based on the multi-restrict traffic load balancing model, a multilevel parallelizable scheduling system is given to optimize the traffic engineering state in autonomous system which has multi outgoing links. A quantit...
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Based on the multi-restrict traffic load balancing model, a multilevel parallelizable scheduling system is given to optimize the traffic engineering state in autonomous system which has multi outgoing links. A quantitative analysis formula of routing space splitting scheduling algorithm is given, and the approach of parallelization computing for IP header recomposing is realized. The actual experiments show that the network throughput increases, the bandwidth utilization ratio is improved and the network has rapid time response property in the whole routing space.
The Optimal Scheme (OPT) in [9] has been generalized by Elsässer in [5] to tackle load balancing problem on heterogeneous networks by including a generalized Laplacian in iterative polynomial. Unfortunately, this...
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The Optimal Scheme (OPT) in [9] has been generalized by Elsässer in [5] to tackle load balancing problem on heterogeneous networks by including a generalized Laplacian in iterative polynomial. Unfortunately, this generalized scheme is often inconvenient because all the distinct eigenvalues of a generalized Laplacian of network must be computed. To some familiar networks, finding spectrum of a generalized Laplacian usually has a higher complexity than finding one of ordinary Laplacian for the latter often has fewer eigenvalues, like hypercube network. So, those schemes whose iterative polynomials include eigenvalues of generalized Laplacian are difficult to implement in practical applications. This paper aims to overcome this difficulty and proposes a new generalization of OPT scheme, called GOPT, for load balancing on heterogeneous networks. This new GOPT scheme leads to almost the same complexity as OPT ([9]) on lomogeneous networks, which brings a noticeable improvement on previous generalization ([5]) of OPT scheme.
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