In order to eliminate noise in wavefront slope signals detected by a Hartmann wavefront sensor, a new denoising method was proposed by combining wavelet transform with modal reconstruction algorithm. The noise in the ...
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In order to eliminate noise in wavefront slope signals detected by a Hartmann wavefront sensor, a new denoising method was proposed by combining wavelet transform with modal reconstruction algorithm. The noise in the signals was removed by wavelet transform. The residual noise then was removed from the signals by using modal reconstruction algorithm. By practical application and simulation test, it was proved that this method could eliminate noise efficiently from wavefront slope signals during wavefront detection. The method that combines wavelet transform and modal reconstruction algorithm can be used for wavefront slope signals denoising.
Wavefront sensor-less adaptive optics is an important method for correcting wavefront aberration. An appropriate optimization algorithm is crucial to aberration correction. An improved particle swarm optimization (IPS...
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Wavefront sensor-less adaptive optics is an important method for correcting wavefront aberration. An appropriate optimization algorithm is crucial to aberration correction. An improved particle swarm optimization (IPSO) is presented which well addresses slow convergence rate and low calculation precision in the standard PSO. In IPSO, mutation strategies are adopted to keep the diversity of population and make particles explore the solution space efficiently. Based on these two algorithms, an adaptive optics system with a 37-element deformable mirror is established. The experimental results show that IPSO is better than SPSO in convergence rate, reconstruction performance and correction effect.
The object-oriented simulation software of an adaptive optics system is used to evaluate the performance of the adaptive optics system. The software includes distorted wavefront correction and turbulence simulation. A...
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The object-oriented simulation software of an adaptive optics system is used to evaluate the performance of the adaptive optics system. The software includes distorted wavefront correction and turbulence simulation. An object-oriented adaptive optics system framework is proposed based on the features of adaptive optics systems simulation. Numerical simulation results show that it is a valid numerical simulation software.
By analyzing the relationships between description logics and XML models, the paper investigates the representation and reasoning of fuzzy XML models with fuzzy description logics. The formal definition of fuzzy XML m...
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By analyzing the relationships between description logics and XML models, the paper investigates the representation and reasoning of fuzzy XML models with fuzzy description logics. The formal definition of fuzzy XML models (including fuzzy XML documents and fuzzy DTDs) is proposed. Then, aiming at the characteristics and reasoning requirement of fuzzy XML models, a kind of new fuzzy description logic called f-ALCQwf-reg is developed, and the syntax, semantics, knowledge base and reasoning algorithm are given. On this basis, representation and reasoning of fuzzy XML models with f-ALCQwf-reg is investigated, including: Fuzzy XML models are translated into f-ALCQwf-reg knowledge bases;Based on the translated f-ALCQwf-reg knowledge bases, how to reason on fuzzy XML models (e.g., conformance, inclusion, equivalence and disjointness) through the reasoning mechanism of f-ALCQwf-reg is investigated;Also it is briefly discussed that how to support query processing over a document base more efficiently based on the translation and reasoning results above.
Depth maps are used for synthesis virtual view in free-viewpoint television （FTV） systems. When depth maps are derived using existing depth estimation methods, the depth distortions will cause undesirable artifacts ...
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Depth maps are used for synthesis virtual view in free-viewpoint television （FTV） systems. When depth maps are derived using existing depth estimation methods, the depth distortions will cause undesirable artifacts in the synthesized views. To solve this problem, a 3D video quality model base depth maps （D-3DV） for virtual view synthesis and depth map coding in the FTV applications is proposed. First, the relationships between distortions in coded depth map and rendered view are derived. Then, a precisely 3DV quality model based depth characteristics is develop for the synthesized virtual views. Finally, based on D-3DV model, a multilateral filtering is applied as a pre-processed filter to reduce rendering artifacts. The experimental results evaluated by objective and subjective methods indicate that the proposed D-3DV model can reduce bit-rate of depth coding and achieve better rendering quality.
In structured P2P overlay networks, nodes and objects are assigned unique IDs in the same identifier space by using a consistent hashing function, and have been known to result in an imbalance factor of O(log n), wher...
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In structured P2P overlay networks, nodes and objects are assigned unique IDs in the same identifier space by using a consistent hashing function, and have been known to result in an imbalance factor of O(log n), where n is the number of nodes in the systems. Further imbalance may become severely due to the heterogeneity of objects loads and nodes capacities, and dynamic of objects and nodes in practical P2P network environment. Aiming at the issue of load distribution unbalancing in large scale DHT network, a binary-tree hierarchical load balance model is presented in this paper. Our proposed load balance model organizes the system into a hierarchy of balancing domain, therefore, load balancing decision are based solely on information pertaining to those nodes within each domain, and thus load balancing is performed independently. In addition, because our load balancing scheme is built on the proximity-aware hypercube overlay network, therefore, the loads on the heavily nodes can be transferred to lightly loaded nodes in a proximity-aware fashion. Consequently, it provides rapid convergence on load balance and reduces the load transfer cost. Simulations show that our proposed scheme can balance the load of the nodes in proportion to their capacity, and reduced the load transfer cost in the heterogeneous and dynamic network state.
From the perspective of selecting service by QoS attributes, a computation method of QoS expectation value, which is based on Algorithm Prim, was presented to provide support for selection of service. On the basis of ...
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Service-oriented architecture and cloud computing have become the prevalent computing paradigm. In this paradigm, computing resources can be accessed like other utility services available in today's society. In th...
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ISBN:
(纸本)9780769543499
Service-oriented architecture and cloud computing have become the prevalent computing paradigm. In this paradigm, computing resources can be accessed like other utility services available in today's society. In the meantime, robotics applications are joining the trend. More and more robot applications are shifting from manufacture to non-manufacture and service industries. However, for the on-demand supply of the large-scale heterogeneous robots, It is still a problem have not yet been studied, including the fundamental management and efficiency issues in using of these resources. In this paper, we design a framework of "Robot Cloud Center" (RCC) following the general cloud computing paradigm to address the current limitations in capacity and versatility of robotic applications. In this framework, a robot can be provided as a service just like a public utility service so that everyone can access the powerful robotic services easily, efficiently, and cheaply. Based on a given scenario, a robot scheduling algorithm in RCC is proposed to take advantage of the heterogeneous robot resources to meet the end user's requirement with the minimum cost.
The abstract presents a fully functional Ramsey-CPT atomic clock, which has the characteristics of compact structure, small volume, low cost, strong adaptability, high stability, convenient for adjustment, unique desi...
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The abstract presents a fully functional Ramsey-CPT atomic clock, which has the characteristics of compact structure, small volume, low cost, strong adaptability, high stability, convenient for adjustment, unique design, and easy-to-commercialization. The Ramsey-CPT atomic clock combines the method of separated oscillatory fields and the phenomenon of coherent population trapping, so as to obtain narrower line width and better signal-to-noise ratio of the resonance signal for improving the frequency stability. It not only keeps the advantages of miniaturization and low power of the CPT atomic clock, but also can obtain higher frequency stability than CPT atomic clock about one order of magnitude.
This paper presents an industrial temperature measuring and monitoring system, which is based on 89C51 single chip microcontroller, and details the comparison between Formula method and Look-up Table method whose new ...
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This paper presents an industrial temperature measuring and monitoring system, which is based on 89C51 single chip microcontroller, and details the comparison between Formula method and Look-up Table method whose new algorithm and high precision has been emphasized. The system can measure real-time industrial temperature, store historical data and display temperature in digital and curve diagram. MAX6675 is applied in temperature acquisition module, which simplifies the system design and improve measuring precision. The data analysis methods and circuit design are given in paper. It is proved that the design is stable, reliable, simple and durable.
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