Applied Mechanics and Materials Vols. 513-517

Abstract: For complex structure of the product parts, we can have the aid of ICT measurement equipment to obtain the product slice images, use the analytical calculation, digital image-processing and CAD software to establish the product geometric model. This paper focused on the digital product model which was obtained by the digital image processing of ICT slices. Used the FDK reconstruction algorithm to deal with the tapered beam of counter projection problem, improved the efficiency and shorten the reconstruction time.

Abstract: This paper brings about an image distortion correction system based on FPGA with low latency and high quality. In line with image format characteristics, the system adopted the buffering mechanism that storing data in odd and even line/column zones respectively to minimize memory occupancy. Furthermore, an improved bilinear interpolation algorithm is put forward in order to improve edge definition. The experiment results demonstrated that the hardware system run steadily under the condition of high resolution and frequency, in addition, the edge effect improved greatly after image processing.

Abstract: In this paper, we propose a fast algorithm based on Reweighted Alternating Direction Method of Multiplier (R-ADMM) for cooperative compressive wideband spectrum sensing. The R-ADMM alternately updates the recovered signal matrix, the Lagrangian multiplier and the residue, and all update rules only involve matrix or vector multiplications and summations. To seek joint sparse solutions in a fully distributed scheme, multiple cognitive users collaborate during the sensing period by enforcing consensus among local spectral estimates. Meanwhile, adding weight in the target term and suppressing non-zero elements with large weights for getting the solution close to minimumnorm. The experimental results show that detection probability and detection speed of the algorithm has been improved under low SNR.

Abstract: The existing construction methods for knowledge organization rarely address the development trend of interdisciplinary cross and fusion. In this paper, we propose a method of ontology construction to address fusion of subjects knowledge for the knowledge management of interdisciplines. We apply this method to the discipline of computer science and technology as a concrete case, highlight the parts of collecting and analyzing interdisciplinary knowledge, and determine ontology concepts of discipline knowledge and their relationships to emphasize the cross and fusion of discipline knowledge.

Abstract: In the modern digital communication system, inter-symbol interference (ISI) caused by the imperfectness of the channel is a major factor that degrades the performance of communication. In order to decrease the influence of ISI and improve communication quality, people usually use equalization technology. Generally, channel response is changing over time, so the adaptive equalizer is necessary. This paper firstly introduced the theoretical foundation and realization method of the adaptive equalization system. Then discuss the LMS algorithm. Finally, the SIMULINK tool is used to build a communication system. The set of simulation results by observing the eye diagrams of the signals before and after equalization have validated the equalization effect.

Abstract: With the increase of urban car ownership and the development of computer technology and image processing technology, through the video detection of traffic information more and more important. This paper proposes a testing method of vehicle identification, and separately in grayscale matching, pattern matching and shape matching three methods respectively to test the vehicle, and respectively analyzes the three methods of accuracy and the reasons for the unreasonable data.

Abstract: Synchronization is very important for any digital transmission technology. It can almost be said the core of any control system, so the synchronization algorithm is precisely the premise to transmit data correctly. This point is especially important for OFDM system. Synchronous error is the biggest shortcoming of OFDM system, the performance of the receiver is closely related to if we can get the accurate synchronization signal.

Abstract: Through the analyzing of the color, motion, parallax and the degree of clarity in scene-all the elements presented on the 2D video, People can produce 3D video smoothly. The paper introduces a kind of pick-up algorithm of depth map, the method of combining the abstraction of motion in depth based on the block matching and the abstraction of background in depth on the basis of background subtraction. The extracted map can be applied to the video conversion technology of "2D to 3D".

Abstract: B-ultrasonic is widely used in medical diagnostics and other fields, because of its non-invasive, no radiation, etc. Early B-ultrasonic with analog imaging system cant achieve B-ultrasonic image processing, data storage and other operations. With the development of computer technology and electronic technology, Digital B-ultrasonic systems are increasingly used in actual diagnosis, the paper through the use of digital imaging system to achieve B-ultrasonic front ultrasound imaging, reuse embedded microcontrollers Camera interface for B-ultrasonic acquisition of image data, and on this platform to achieve a B-ultrasonic application software development. System testing show that the system data acquisition is stability, and easy to operate, reliable, also can be widely used in medical and industrial ultrasonic fields. Key words: B-ultrasonic; Data Acquisition; Camera; Digitizing

Abstract: This paper based on license plate image preprocessing ,license plate localization, and character segment ,using BP neural network algorithm to identify the license plate characters. Through k-l algorithm of characters on the feature extraction and recognition of license plate character respectively then taking the extraction of license plate character features into the character classifier to the training. When the end of training, extracting the net-work weights and offset matrix, and storing in the computer. To take the identified character images input to the MATLAB, and with the preservation weights and offset matrix operations, obtain the final results of recognition.