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A smart computing system is usually composed of smart mobile nodes, such as mobile phones and/or sensor nodes. In this paper, we study the consensus problem in a smart computing system, which has many applications in smart computing, such as smart grid. Due to mobility and failures, smart computing nodes may join and leave a system from time to time. Such dynamicity in node set of a smart computing...
We propose a shared protection scheme based on the sharing principle among multiple end-to-content backup paths in optical datacenter networks. Numerical results show it can reduce wavelengths consumption while ensuring the survivability against multi-failures.
Recent work on neural network models shows success in dependency parsing. In this paper, we present a sequence learning dependency parsing (SLDP) model using long short-term memory for shift-reduce parser. A feed-forward neural network is used to build greedy model from rich local features. With the features extracted by the local model, we further train a long short-term memory (LSTM) model optimized...
A novel multiscale phase congruency (MPC) based analysis method is proposed in this paper for edge saliency detection and non-salient region texture suppression. Several MPC maps are proposed to be merged. Gaussian function based center priors and threshold processing are applied for the final edge saliency map generation, which can effectively suppress the textures and the detailed edges of non-salient...
A centralized and unified control mechanism is proposed to merge heterogeneous optical networks into Software-Defined Optical Network (SDON) for dynamic and efficient service delivery. The proposals are experimental demonstrated via a completely extended controller based on Opendaylight (ODL) Project.
Abstract-A new fault diagnosis model of computer network based on rough set and BP neural network is put forward in this paper. Many fault features of computer network are retrieved, then they are reduced to the minimum diagnosis rules by rough set. And the minimum diagnosis rules are trained by BP neural network. The simulation results indicate that the new fault diagnosis model has higher learning...
The Gaussian Mixture Model (GMM) is one of the common object representation models in the field of target tracking. However, existing GMM modeling methods are time-consuming. In this paper, we present a method to quickly model the object by a GMM in the joint feature-spatial space. A new measure based on approximations of symmetric KL-Divergence is used to compute the similarity between two GMMs....
Because the trustworthy network is able to mitigate various secure problems, it has attracted researchers' attention worldwide. However, it's hard to wipe any malicious node off. A node may obtain fake trustworthy by mixing malicious transactions with tremendous honest ones. In order to eliminate such a fault, the improved method employs normalized transactions and linear increase of trustworthy....
A meshfree particle-based Lagrangian method—Smoothed Particle Hydrodynamics (SPH) has been applied to simulate instantaneous dam-break flows. The dam-breaks generated highly unsteady and rapidly varied flows moving over the beds and obstacles, so it was very complicated by fixed grid numerical simulations. The SPH method performed well when the flood wave moved over a flat bed, the strong hydraulic...
Differential Evolution (DE) which has been focused on computation intelligence is a new swarm intelligent algorithm by simulating intelligence of population after GA and PSO etc. It is more robust and efficient. Because the differential degree of individuals is minimized in the last, the diversity of population will be reduced and DE will converge ahead of schedule. It is well known that simulated...
In this contribution, several optimization strategies for fully exploiting the performance of ARM11 MPcore have been discussed. Experimental studies are conducted for the basic computation performance and the multimedia processing performance of ARM11 MPcore. The basic computation operation includes integer operation and floating-point operation. Results show that an efficiency gain of a factor 3...
Digital images are facing trustworthy crisis with the emergence of various digital image process tools and steganography tools. Current digital image forensic methods can not evaluate the digital image's trustworthiness. Base on Dempster-Shafer (D-S) evidence theory, this paper proposed a new model which can effectively evaluate digital image trustworthiness. Instead of using Dempster's original rule...
Analysis model for routing protocols for wireless ad hoc networks is significant helpful, since it can be employed to investigate to highlight the most considerable ingredient, enlighten the heuristic approach, provide landmark for performance evaluations, and so forth. A fundamental issue in multicast over an ad hoc network is that what is the optimal multicast throughput in such an environment and...
The Web Services Choreography Description Language (WS-CDL) is a specification developed by the W3C that can be viewed as a blueprint for the development of end-point services. Considering that it is the W3C candidate recommendation for web service choreography, it is worth providing a systematic approach for its modeling, analysis and verification. The Unified Modeling Language (UML) is the de facto...
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