Applied Mechanics and Materials Vols. 416-417

Abstract: According to the requirement of aerial infrared target recognition, a group of image segmentation, edge detection, feature extraction, type recognition algorithms are put forward in this article after analysis and comparison of many algorithms. The simulation results show that the typical aerial target type recognition rate of this group of algorithms can reach more than 80%, so that the algorithms have higher ability of target type recognition, and its real-time performance can meet the requirement of imaging GIF fuze.

Abstract: The performance of speech recognition system is well or not is closely related to the characteristic parameters. For emulating human auditory system, a new method of speech feature extraction based on Hopf filter banks is presented. We modeled the extraction process of the MFCC, and used Hopf filter banks instead of the triangular filter banks. Then, we according the characteristics of Basilar Membranes in the cochlea to adjust the center frequency and bandwidth of the filter. The test speech goes through the Hopf filter banks, multi-dimensional eigenvectors will be obtained. After that, by Discrete Cosine Transformation, we will get the Hopf cepstral coefficients of the speech. Comparing with traditional feature MFCC, the speech recognition systems with Hopf characteristic parameters have better recognition rate and robustness characteristics in low Signal Noise Ratio (SNR) environment.

Abstract: CS is a very new method that is being evaluated for many applications, in which signals are sparse in some basis/dictionary, e.g. the radar range profile. In this article, we have formulated the range processing with CS and introduced fair comparisons between matched filter and CS with chirps and OFDM signals. Two relevant features have been inspected: waveform bandwidth and measurement matrix.

Abstract: In order to solve some high-complexity problem including traditional video tracking method, pedestrian movement shelter and calculation, target pedestrian detection technology basing on the video track is proposed. By collecting prospect of video and picture dealing technology, detecting and tracking moving target, detecting and analyzing the data of video, the result shows that this way is more accurate than traditional way and it can clearly draw the moving track of pedestrian.

Abstract: Accurate rebar recognition is a key step of automatic online rebar counting based on image processing. Current popular rebar recognition methods based on front view image usually lead to missing detection for some special rebar such as obscured rebar, oxidation dark rebar and bent rebar. So a novel rebar recognition method based on multi-view images was proposed in this paper. Firstly, rebar images were captured simultaneously from front view and top view using two cameras. Then, the centers of rebar were located respectively in top and front view image. Finally, in the image fusion step, the top recognition result was used to compensate and validate the front recognition result for reducing and eliminating above missing detection. Experiments showed that this method can efficiently recognize above missed rebar and improve rebar recognition rate.

Abstract: Digital campus is the embodiment of "digital earth" in the campus and the important part of it. The most important task to construct campus informatization is to realize the digital campus project. Based on such a background, using development tools as MapInfo, Visual Basic and the basic data from ShijiaZhuang Information Engineering Occupational Institute with GIS technology, database technology, the dissertation researches all relevant information resources about school management, teaching and scientific research and so on and establishes the digital campus system with comprehensive anlysis and integration of the data.

Abstract: In this study, the main water body of remote sensing image was extracted with the maximum likelihood algorithm of ENVI software based on Qinzhou's remote sensing images 2008 and 2011. From the remote sensing images, it was found that the area of the water body was greatly reduced, and also the water body has been polluted differently. In this paper, the urgent environmental protections of Qinzhou's main rivers are analyzed in view of the reduced water body, and also some suggestions on water body conservation are proposed. Overview of Qinzhou Qinzhou is located between V20°52 and 22°41 N, and 107°27 and 109°56 S. The total area of Qinzhou is about 10842.73 square kilometers. It is in the corner of the South China Sea, and is the core base of the north gulf economic region. Thus, it takes an absolute advantage in logistics. The national patriotism education bases for elementary and middle schools in Qinzhou are the former homes of two national heroes (Yongfu LIU, and Zicai FENG). In Qinzhou, there is a coastline of more than 520 kilometers, and many excellently natural harbors such as Qinzhou Port, Longmen Port, Shajing Port, and Siluo Port are available here. Also, there are abundant product advantages. The climate is hot. Many rivers and water reservoirs are available. Soil and plants are flourishing greatly. Since the new century, Qinzhou government as well as the governments of all counties greatly invest Qinzhou, carry out urban and rural clean engineering, urban infrastructure project construction, and agricultural preferential policies, and establish multi-form and multi-dimensional economic and technical cooperation with foreign and domestic companies, in which business is easy to process and the procedures are simple to handle. In 2013, the high-speed rail has brought a new era to Qinzhou. Qinzhou's advantages in climate conditions, rain conditions, and water resources Qinzhou is located in the subtropical zone and features a transitional marine monsoon climate. The overall terrain forms are mountains, hills, terraces plains, and coastal mud flats from northwest to southeast. From east to north, the main mountain is LIUWAN Mountain. From west to north, the main mountain is SHIWAN Mountain. The annual average temperature is 22°C; the absolute maximum temperature was 37.5°C (July 28, 1968), and the absolute lowest temperature was-1.8°C (January 12, 1955). The average annual rainfall is about 1600mm; the average sunshine period is about 1800 hours, and the frost-free period is more than 350 days. The solar radiation amount is 104.6~108.8 kilocalorie/cm²; the annual sunshine duration is 1633.6~1801.4 hours; the annual average temperature is 21.4°C~22°C; the annual total accumulated temperature is 7800°C~ 8200°C. The average frost-free period of previous years was 329~354 days. The water resources advantages of Qinzhou include humid temperature, abundant rain, and annual rainfall of 1600mm~1900mm. Major rivers include Qinjiang, Maolingjiang, Nanliujiang, and Dafengjiang, and the annual runoff is 11.728 billion cubic meters. The gross storage capacity of small, middle, and large reservoirs has reached 805 million cubic meters. Qinzhou's remote sensing image and the river remote sensing images of recent years The water yield of the main rivers in Qinzhou is abundant and falls greatly, so the hydropower resource is rich. The rivers in Qinzhou are small and medium-sized, own a large quantity of flow, and flow into the sea, but do not form drainage.

Abstract: Digital watermarking provides a solution for protecting the copyright of digital contents, and print-and-scan resilient data hiding finds important applications in document security. In this paper, we propose a clustered dot halftone watermarking algorithm based on phase modulation. The watermark region and the other region use the threshold matrix for halftoning at the two different screen angle. The watermark is detected by overlaying the model, with one of the screen angle. Mean filtering and median filtering is performed on the recovered watermark to improve the appearance, and watermark is pre-processed using Arnold transformation to eliminate the edges in the border of the watermark. Experiments show watermark can appear under smearing, cropping and pint-and-scan attacks.

Abstract: In order to resist print and scan attacks, a kind of digital halftone image watermarking algorithm is proposed, which is based on the edge detection and improved error diffusion. The edge of gray image is gotten using canny detection. Calculate the noise visibility function values of the edge points. Then, sort the values in ascending order and select the size that equal to the length of watermark as the location of watermark embedding. While the grayscale image turns to halftone image using the improved error diffusion algorithm, binary watermark is embedded in the edge position. Watermark is pretreated with Arnold before embedding to improve the safety of watermark. Experiment results show that the algorithm is good resistance to print and scan attacks, while resistance to shearing, noise and jpeg compression attacks.

Abstract: This paper presents a new ECG demising algorithm based on the self-optimizing method. This paper discusses the optimum threshold concept and the optimum threshold is decided by signal and threshold function. Based on the concept, this paper provides the ECG optimal method concrete steps. Through the dead value at high frequency phenomenon that is observed by experiment can identify the terminal value. Experiments show that the proposed method improves the signal-to-noise ratios. Moreover, the de-noising signals have a smooth and visual appearance.