the component-based business architecture integration of Command, Control, Communications, Computers, Intelligence, Surveillance and Reconnaissance (C4ISR) systems is a popular research topic in the field of military ...
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ISBN:
(纸本)9781509034840
the component-based business architecture integration of Command, Control, Communications, Computers, Intelligence, Surveillance and Reconnaissance (C4ISR) systems is a popular research topic in the field of military operational research. Currently, the prevalent methodologies for business component integration tend to focus on software-level business component, and ignore enterprise concerns in business architecture, such as organizations and resources. In this paper, we propose a novel approach to enterprise-level business component integration. First, we discuss the conception of enterprise-level business component and its relationships with DoDAF models. then, a four-step process is proposed for integrating business components, mainly by modeling enterprise-level business component based on IDEF0 and integrating IDEF0 models automatically based on Petri net. After that, a case study is carried out to illustrate our approach.
the handover technology is one of the most important technologies for the quality of real-time operation in mobile Internet. However, current IP-level mobility protocols have difficulties meeting the stringent handove...
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the 3D reconstruction of sole based on laser scanning is costly and time-consuming, the 3D reconstruction based on structured light is susceptible to ambient light. A 3D reconstruction method of sole based on the plan...
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ISBN:
(纸本)9781538619797;9781538619780
the 3D reconstruction of sole based on laser scanning is costly and time-consuming, the 3D reconstruction based on structured light is susceptible to ambient light. A 3D reconstruction method of sole based on the plantar image's feature segmentation is proposed. the sole is segmented into two regions by the morphological features in the image. One is the arch part touching the glass, another is the un-touching camber part. And an experiment is designed to summarize the law between the plantar height and gray value in each region. then we reconstruct the two regions' shapes separately on the basis of the regulation. Finally, we implement the plantar reconstruction by merging the two point cloud models. Experimental evaluation demonstrates that the system can do the classification and reconstruction effectively.
In this paper, a blind image deconvolution method which is derived from Bayesian probabilistic framework is proposed. A robust prior named Gaussian Scale Mixture Fields of Experts(GSM FoE) and a prior that is constr...
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ISBN:
(纸本)9781538619797;9781538619780
In this paper, a blind image deconvolution method which is derived from Bayesian probabilistic framework is proposed. A robust prior named Gaussian Scale Mixture Fields of Experts(GSM FoE) and a prior that is constructed withthe l-norm( p≈1.5) are adopted to regularize the latent image and the point spread function(PSF) respectively. We use a two phase optimization approach to solve the resulted maximum a-posteriori(MAP) estimation problem, and a simple gradient selecting method is incorporated into the alternating minimization to improve the accuracy of the estimated PSF. Experiments on both synthetic and real world blurred images show that our method can achieve results with high quality.
We formulate the deconvolution problem by combining the negative logarithmic Poisson likelihood withthe total variation(TV) regularization, and present a fast algorithm which is based on the method of Lagrange multip...
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ISBN:
(纸本)9781538619797;9781538619780
We formulate the deconvolution problem by combining the negative logarithmic Poisson likelihood withthe total variation(TV) regularization, and present a fast algorithm which is based on the method of Lagrange multiplier to solve it. In the proposed algorithm, the original problem is converted into two sub-problems. One is a simple convex optimization problem which has a closed-form solution. While the other is a conventional deconvolution problem based on the Gaussian noise model, which can be solved efficiently withthe variable splitting and penalty technology. the minimizer is reached by alternately solving the two problems for only a few iterations. Experimental results show that the algorithm runs very fast and can achieve restored image of high accuracy.
the proceedings contain 146 papers. the topics discussed include: high-dimensional real parameter clonal selection memory algorithm;an empirical research of marine fishery forecasting methods based on the classificati...
ISBN:
(纸本)9781509034833
the proceedings contain 146 papers. the topics discussed include: high-dimensional real parameter clonal selection memory algorithm;an empirical research of marine fishery forecasting methods based on the classification model;refinement of a Newton reciprocal algorithm for arbitrary precision numbers;a time series clustering method based on hypergraph partitioning;sparse coding with sparse dictionaries for credit risk classification;a reduced weighted Wang-Mendel algorithm using the clustering algorithm to build fuzzy system;real time activity recognition on streaming sensor data for smart environments;forecasting house price index of china using dendritic neuron model;training a dendritic neural model with genetic algorithm for classification problems;improving Elman neural network model via fusion of new feedback mechanism and genetic algorithm;a new algorithm of diagnosis strategy based on fault criticality;a new logistic map based chaotic biogeography-based optimization approach for cluster analysis;a search-based approach for test suite generation from extended finite state machines;a novel multi-agent knowledge reasoning method for cooperation and confrontation;fitness and diversity guided particle swarm optimization for global optimization and training artificial neural networks;and chaotic grey wolf optimization.
Mobile Edge computing (MEC) provides mobile and cloud computing capabilities within the access network, and aims to unite the telco and IT at the mobile network edge. this paper presents an investigation on the progre...
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ISBN:
(纸本)9781509017546
Mobile Edge computing (MEC) provides mobile and cloud computing capabilities within the access network, and aims to unite the telco and IT at the mobile network edge. this paper presents an investigation on the progress of MEC, and proposes a platform, named WiCloud, to provide edge networking, proximate computing and data acquisition for innovative services. Furthermore, the open challenges that must be addressed before the commercial deployment of MEC are discussed.
Cloud computing is adopted everywhere because of its low cost and ease of use. Due to fast growth in demand of computational power it has become imperative for the cloud provider to manage the resources in energy effi...
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ISBN:
(纸本)9781509036691
Cloud computing is adopted everywhere because of its low cost and ease of use. Due to fast growth in demand of computational power it has become imperative for the cloud provider to manage the resources in energy efficient way, which becomes possible with virtual machine technology. this paper reviews the techniques of reducing energy consumption using virtual machine management and increasing CPU utilization. Cloud Data Centers consists of many resources like CPU, memory, bandwidth etc. As energy consumption is proportional to CPU utilization, hence CPU is considered to be the main resource in these techniques.
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