Applied Mechanics and Materials Vols. 556-562

Abstract: The so-called water flooding characteristic curve refers to the oilfield water injection (or natural water drive) development process, a relationship between curve cumulative oil production, cumulative water production and accumulation of fluid production. These curves have been widely used for water injection development of dynamic and recoverable reserves forecast. After many years of practical application, summed up the four kinds of water drive characteristic curve, they have a good practical significance. Recoverable reserves are important indicators of field development is the main basis for planning and design, the application of waterflooding characteristic curve can be predicted oil recoverable reserves. Four water flooding characteristics discussed above curve is mainly applied in high-permeability oil field, which did not consider starting pressure, but should consider the impact of low permeability oilfield actuating pressure gradient on the moisture content.

Abstract: This paper presented a method for measuring the residual space between clothing and human body based on 3D scanning devices. In data collecting procedure, the 3D scanning devices were used to collect original point cloud of apparels and human body. The Geomagic software was used to process the noise reduction and surface reconstruction. In measuring procedure, the volume was calculated by algorithm. Therefore, we can get the value of the residual space between clothing and human body.These residual space is called air gap. Thickness of the air gap is closely related to thermal insulation properties [1] and thermal wet comfort performance of clothing. Meanwhile, the stress levels of apparels on human body can be determined through observation [2], so this technology can be used in the field of fashion design. In addition, 3D virtual try-on system is one of the applications with important value [3].

Abstract: In this paper, analog signals will be built upon the dynamic load of transient signal with the help of MATLAB simulation method and wavelet transform concept, and analyze it with the application of wavelet denoise method, whose good effects would be proved by simulation experiment. To dispel noise from noisy signal through wavelet resolution theory approach based on collection of simulation experiment and theory. In conclusion, wavelet kernel function and decomposition have direct effect to denoise. In this paper, we’ve made an analysis to electric power transient signal characteristics by combination of wavelet basic theory and simulation experiment

Abstract: Development of digital signal processing and embedded technologies today, to the development of radar technology has brought new opportunities. Relative to the simulation of radar, digital radar has good performance, features, ease of operation, and other benefits. Design based on embedded processor and digital signal processor (DSP) dual processor shipboard navigation radar system, and focuses on digital shipborne navigational radar system architecture, hardware design and software algorithms for digital signal processing module, gives the overall scheme for DSP systems.

Abstract: Although the general random scrambling based on pixel can achieve a good chaotic effect, but it can not change the histogram of a digital image. We introduce the random scrambling into the domain of discrete cosine transform (DCT) of image and scramble the coefficients of DCT to improve the performance of scrambling. Firstly, we did 2-D discrete cosine transform to the original image. Secondly, we scanned the coefficients matrix of DCT by Zig-Zag scanning to get a 1-D sequence, and then we scrambled this sequence by 1-D random scrambling algorithm. Thirdly, we did inverse Zig-Zag scanning to the scrambled sequence and reconstructed the scrambled image from the chaotic coefficients matrix by 2-D inverse discrete cosine transform. Finally, to further improve the scrambling degree of the reconstructed result, we scrambled it again in space domain to gain the encryption image. Experiments show that this algorithm is effective at visual evaluation and is more stable in scrambling degree than Arnold transformation.

Abstract: Compression perception is an emerging field which attracted considerable research interest in the past few years. Previous review restrain in limit their range to standard discrete-to – discrete measurement architectures using arrays of randomized nature and signal models which are based on standard exiguity. In the past few years, compression perception has worked in its way into some new application areas. In turn, this compels a caller look on many of the basics of the compression perception. The operator of the random arrays measurement should be took the place of more structured perception architectures that conform to the characteristics of available acquisition hardware. Generally speaking, the theme is exploiting signal and the potential of structured strategies of compression perception to appear from the math to the hardware.

Abstract: With the rapid development of science and technology, people to some degree have acquired enormous achievements in the field of robot, especially the intelligent robots.To make robots a system so as to coordinate their movements, telecommunication is a fundamental factor. And wireless telecommunication is definitely the most ideal way to connect robot with robot or robot with computers.Research on remote robot technology can date back to the 1960s. As mankind’s knowledge of nature as well as application of robots are on the rise, some inevitably abominable environments are brought about, such as volcano exploration, deep ocean discovery, space exploration and militant monitoring. However, all these jobs will cause damage to the operating personnel more or less and sometimes even death.Therefore, the ways of controlling robots have developed from traditional live controlling to wireless remote controlling.

Abstract: Obtaining high quality images is very important in many areas of applied sciences, but images are usually polluted by noise in the process of generation, transmission and acquisition. In recent years, wavelet analysis achieves significant results in the field of image de-noising. However, most of the studies of noise-induced phenomena assume that the noise source is Gaussian. The use of mixed Gaussian and impulse noise is rare, mainly because of the difficulties in handling them. In the process of image de-noising, the noise model’s parameter estimation is a key issue, because the accuracy of the noise model’s parameters could affect the de-noising quality. In the case of mixed Gaussian noises, EM algorithm is an iterative algorithm, which simplifies the maximum likelihood equation. This thesis takes wavelet analysis and statistics theory as tools, studies on mixed noise image de-noising, provides two classes of algorithms for dealing with a special type of non-Gaussian noise, mixed Gaussian and Pepper & Salt noise.

Abstract: When the target and background in the high speed change, moving target detection. The traditional easily lost, not accurate. This paper presents a variable background frame difference method, and makes use of the MeanShift tracking algorithm simulation application. The method can detect moving objects in complex environment, and real-time tracking, can quickly and accurately detect and track when the background and target are scale, rotation, no rules of large displacement changes.

Abstract: This paper concerns about Large-scale mosaic for remote sensed images. Base on High Performance Computing system, we offer a method to decompose the problem and integrate them with logical and physical relationship. The mosaic of Large-scale remote sensed images has been improved both at performance and effectiveness.