Applied Mechanics and Materials
Vols. 568-570
Vols. 568-570
Applied Mechanics and Materials
Vol. 567
Vol. 567
Applied Mechanics and Materials
Vol. 566
Vol. 566
Applied Mechanics and Materials
Vol. 565
Vol. 565
Applied Mechanics and Materials
Vol. 564
Vol. 564
Applied Mechanics and Materials
Vol. 563
Vol. 563
Applied Mechanics and Materials
Vols. 556-562
Vols. 556-562
Applied Mechanics and Materials
Vol. 555
Vol. 555
Applied Mechanics and Materials
Vol. 554
Vol. 554
Applied Mechanics and Materials
Vol. 553
Vol. 553
Applied Mechanics and Materials
Vol. 552
Vol. 552
Applied Mechanics and Materials
Vol. 551
Vol. 551
Applied Mechanics and Materials
Vol. 550
Vol. 550
Applied Mechanics and Materials Vols. 556-562
Paper Title Page
Abstract: With the rapid development of Internet technology throughout the world, the technology of DSP has progressed tremendously. The paper conducts a research on the routing algorithm based on DSP routing module in medium-voltage power line communication. It attempts to improve link state routing algorithm based on OSPF protocol so as to enable all the circuits of the communicated DSP chips to send and receive data in real-time detection.
5056
Abstract: In this paper, there is an existing map-matching algorithm on the lack of accuracy, combined with the specific short-message communication function which developed by China's own BeiDou navigation satellites, and then there is proposed a new map matching algorithm for vehicle based on BeiDou Short-Message communication. The algorithm makes up for the shortcomings of existing map matching algorithms, and effectively reduce the matching error, especially for city complex sections, including the main and auxiliary road, the viaduct etc. Finally, this paper validates by comparing the new algorithm with the mature matching algorithm based on fuzzy logic. After verification, it proves that the proposed algorithm can improve the precision of map matching, especially for city complex sections of the map, and the effect is more significant.
5060
Abstract: Image quality assessment (IQA) is one of the hot research areas in the field of image processing. For the reason that human being is the final receiver of the image, the image quality assessment should match the characteristics of human visual system. In this paper, we propose a novel method of image quality assessment which uses the visual selective attention of human visual system. For an image of a certain category, our method firstly detects the object in it and then calculate the saliency of the object. Lastly we use the combination of the detector’s score and the saliency as the image quality assessment. Experiments on some images of Pascal VOC dataset and INRIA dataset show that our method does well in image quality assessment.
5064
Abstract: In order to realize the zero-range-target simulation, the echo delay simulation method for the fixed radar and simulator is given. By this method, zero-range target simulation can be realized. Finally, it is verified by a computation example.
5068
Abstract: In order to find the fault root cause for power communication network alarms, it uses the fault analysis rules base which based on the method rules’ combination of fault-alarm event tree and code book, and also combines the gradual accumulated troubleshooting case base to achieve the intelligent analysis and processing of faults. This fault analysis technique, which combined the rules and cases, has improved the troubleshooting level of the power communication network.
5072
Abstract: Image stitching is an important technology to build a panorama image by combing several images with overlapped areas. In this study, we develop a image seamless mosaic and fusion technique to obtain a prefect panorama image after stitching. At first, it is using speeded-up robust features (SURF) algorithm to extract features form the images for stitching. Then, k-nearest neighbors (KNN) method is used to match the feature points and Random sample consensus (RANSAC) algorithm is used to clear them. Thirdly, a method is improved to achieve seamless stitching based on optimal suture of the overlapped areas. Experimental results indicate that this method can eliminate cohesion gap of two stitching images very well.
5076
Abstract: The spatial filter and wavelet filter were used to denoise the image with much complex noise. The mathematical morphology and threshold segmentation were integrated to detect the image edge. Based on comparison between the method given in this paper and the traditional methods, the new method can result in satisfying image processing result. The detecting precision is high. Also, the noise resistance is very good. The detected edge outlines are continuous, smooth and integrated. Moreover, the operation time is less.
5081
Abstract: Finger vein and finger-knuckle-print have been studied for personal identification. Methods utilizing direction and location of finger veins have achieved promising performance. However, it is sensitive to quality of finger vein images and it is slow. In this paper, we develop a fast and robust algorithm for person recognition using a coarse-to-fine classifier. 2DPCA is used for coarse selection of k nearest candidates. To increase the robustness of the algorithm, a candidate person is selected when either its finger vein or finger-knuckle-print is near the corresponding test sample. Competitive coding schema is then conducted on the n (n <= 2k) candidates and test images for final classification. Experimental results show that our method is faster and achieved comparable recognition rate with state-of-the-art methods.
5085
Abstract: A cooperative wideband signal detection approach in deep space communication is designed in this paper. In order to implement autonomous communication between explorers, detectors and satellites, we need to detect signal in advance. There are sparse active signals in the shadowing deep space environment, whose frequency support only occupies a small portion of a wide spectrum. Compressed sensing (CS) is a new technique which is able to utilize the sparsity of deep space communication signal. Wideband signal is sampled one time only with low sampling rate, and then signal spectrum is recovered by reconstruction algorithms. A discrete cosine transform (DCT) based compressed spectrum detection method has been studied which can significantly improve the probability of signal detection. Simulation result show the effectiveness of our new detect scheme in deep space communication.
5089
Abstract: Describes the establishment of maximum likelihood estimation model and victor than the realization of the search path. At the same time according to the data block transmission mode in the software and the characteristics of victor than path search, research a kind of software demodulation is implemented based on data redundancy, make full use of the parallel processing computer system performance, improve the operation efficiency of the algorithm. And the algorithm error rate as an index, compares the software likelihood estimation algorithm with the traditional frequency demodulation performance, results show that the BER 10-4 when algorithm can get the demodulation gain of about 3 dB.
5093