Aiming at the problem of inferior precision and bad maneuverability during system calibration of the conventional system construction, In this paper, a new system construction of three-dimension profile measurement wa...
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Aiming at the problem of inferior precision and bad maneuverability during system calibration of the conventional system construction, In this paper, a new system construction of three-dimension profile measurement was presented. Because of without parallel and perpendicular restricted condition in this system, the CCD camera and the projecting device could be located arbitrarily. By importing the camera calibration technique and the lens distortion is considered of the CCD camera, the new system has better maneuverability and higher accuracy than conventional method.
With the page explosion of WWW, how to cover more useful information with limited storage and computation resources becomes more and more important in web IR research. Using web page non-content feature analysis, we p...
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ISBN:
(纸本)1595930515
With the page explosion of WWW, how to cover more useful information with limited storage and computation resources becomes more and more important in web IR research. Using web page non-content feature analysis, we proposed a clustering-based method to select high quality pages from the whole page set. Although the result page set contains only 44.3% of the whole collection, it is related with more than 98% of links and covers about 90% of key information. Link property and retrieval affects are also observed and experiment results show that key resource selection method is more suitable for the job of data cleansing and the result page set outperforms the whole collection by smaller size and better retrieval performance.
This paper discusses the problems of control design and stability analysis of the networked controlsystems(NCSs) with random delays. The network-induced delays of the NCS are considered as interval variables governed...
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Locally spatiotemporal salience is defined as the combination of the local contrast salience from multiple paralleling independent spatiotemporal feature channels. The computational model proposed in this paper adopts...
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Recursive least-squares temporal difference algorithm (RLS-TD) is deduced, which can use data more efficiently with fast convergence and less computational burden. Reinforcement learning based on recursive least-squar...
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With rapid growth of web information, to select high quality web pages that cover valuable information query-independently becomes more and more important in web Information Retrieval (IR) research. Based on query-ind...
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With rapid growth of web information, to select high quality web pages that cover valuable information query-independently becomes more and more important in web Information Retrieval (IR) research. Based on query-independent feature analysis, a data cleansing algorithm is proposed by selecting an important type of high quality pages (key resources) on the web. Study into the cleansed page set shows that the set contains only 44.3% pages of the whole collection, while involves more than 98% of hyperlinks and covers about 90% of key information. Experiments based on TREC 2003 data show that the cleansed collection outperforms the whole collection by less than a half size and 8% improvement of retrieval performance.
A multi-homed VPN architecture based on extended SOCKSv5 and TLS was proposed. The architecture employs a dynamic connection mechanism for multiple proxies in the end system,i n which the security-demanded transmissio...
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A multi-homed VPN architecture based on extended SOCKSv5 and TLS was proposed. The architecture employs a dynamic connection mechanism for multiple proxies in the end system,i n which the security-demanded transmission connections can switch smoothly among the multiple proxies by maint aining a coherent connection *** mechanism is transparent to application programs and can support th e building of *** the cooperation of some other security components,the mechanism guarantees the reso urce availab.lity and reliability of the end system against some attacks to the specific ports or hosts.
Recursive least-squares temporal difference algorithm (RLS-TD) is deduced, which can use data more efficiently with fast convergence and less computational burden. Reinforcement learning based on recursive least-squar...
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Recursive least-squares temporal difference algorithm (RLS-TD) is deduced, which can use data more efficiently with fast convergence and less computational burden. Reinforcement learning based on recursive least-squares methods is applied to ship steering control, as provides an efficient way for the improvement of ship steering control performance. It removes the defect that the conventional intelligent algorithm learning must be provided with some sample data. The parameters of controller are on-line learned and adjusted. Simulation results show that the ship course can be properly controlled in case of the disturbances of wave, wind, current. It is demonstrated that the proposed algorithm is a promising alternative to conventional autopilots.
A multi-homed VPN architecture based on extended SOCKSv5 and TLS was proposed. The architecture employs a dynamic connection mechanism for multiple proxies in the end system, in which the security-demanded transmissio...
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A multi-homed VPN architecture based on extended SOCKSv5 and TLS was proposed. The architecture employs a dynamic connection mechanism for multiple proxies in the end system, in which the security-demanded transmission connections can switch smoothly among the multiple proxies by maintaining a coherent connection context. The mechanism is transparent to application programs and can support the building of VPN. With the cooperation of some other security components, the mechanism guarantees the resource availab.lity and reliability of the end system against some attacks to the specific ports or hosts.
Independent component analysis (ICA) is a method for finding independent components from multivariate (multidimensional) statistical data. Based on the optimal estimation function, a method for the estimation of the s...
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Independent component analysis (ICA) is a method for finding independent components from multivariate (multidimensional) statistical data. Based on the optimal estimation function, a method for the estimation of the score function is developed. By using the Gaussian mixture model, an EM algorithm for approximating the probability density of the data is presented, and a stochastic gradient method is given to separate the independent components. To improve the accuracy and stability of the algorithm, an iterative method for estimating the PDF of data is presented, which can perform the separation of mixed sub-Gaussian from super-Gaussian sources. The performance of the method is shown by computer simulations.
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