Advanced Materials Research Vols. 457-458

Abstract: In this paper, we propose a new algorithm to remove haze from a single input image. Based on the Dark Channel Prior proposed by He [1], we exploit the Gauss Bilateral Filter and the min operation to obtain an edge-preserving dark channel image, which is non-iterative, requires less time. We further utilize this dark channel image to extract the estimation of medium transmission, and finally recover a haze-free image from that. Furthermore, we use a self-adaptive algorithm to set the haze parameters to solve the color shift problem for large sky region. Experiments demonstrate our algorithm can effectively remove haze from a foggy image while keep edges sharp.

Abstract: The classical Clapper-Yule model and its improved models will both introduced the extended application which supports rough printing and halftone color fluorescent imaging. The characteristics of the new model were analyzed and the prospect of the Clapper-Yule mode was discussed. We proposed a new model, which was an enhancement of the classical Clapper-Yule model, which simulate optical dot gain of halftone prints by taking into account lateral scattering within the paper bulk and multiple internal reflections. The model we propose also takes into account the reflectance of inks at surface of the specific colors at specific rates. The model opens the way towards color separation of images to be reproduced. Several designs printed on an offset press demonstrate their applicability and their benefits.

Abstract: In wireless cognitive networks the secondary users (SU, the unlicensed user) can share the spectrum via opportunistic access and spectrum trade. The former can’t offer the reliable and steady communication, while the latter can. It is a hot topic how the primary users (PU, the licensed user) provide the resources to SUs. We propose a novel spectrum trade model based on the Voronoi diagram: V-STM, which can promise fairness and rationality of spectrum lease. We also analyze the effect of communication range and price on spectrum trade. Simulation results demonstrate the performance of the proposed model in terms of the fairness of users and the whole profit of the network.

Abstract: The newly broadcast GPS L2C signal will be extensively used due to its superiority. In order to acquire L2C signal fast in a dual-frequency GPS receiver, this paper firstly discusses two traditional acquisition algorithms, then proposes and implements a new algorithm based on the fixed phase relationships among C/A code, CM code and CL code and the fixed relationships of Doppler shift between the L1 channel and L2 channel. The experimental result demonstrates that the new acquisition algorithm can speed up the acquisition process substantially. It also suits other dual-frequency navigation receivers.

Abstract: Research progress of structural seismic design theory is analyzed and collated in this paper, including static analysis theory, theory of response spectrum, dynamic theory. The three theoretical research and design methods are analyzed and described in the paper one by one. At last, modern seismic design method which is called performance-based seismic design theory is compared and analyzed with the traditional anti-seismic design theory. Its advanced characteristics and advantages are obtained, which will be the core and development of seismic design ideas.

Abstract: The traditional measuring instrument of temperature mainly consists of different types of hardware, whose cost and scale are quite big, and whose operation is inconvenient. In many practical applications, describing the measured objects only by accurate values is not enough. Aiming at these problems, the design of sea temperature test system based on Virtual Instrument has been introduced in this paper. The temperature test system combines high performance PCI-6014 data acquisition card with sensor elements and amplifying circuit. On the basis of LabVIEW software platform, an application software for temperature measurement has been designed, whose functions include real-time acquisition of test signal, data processing and data display.

Abstract: Natural Immune System is a highly complicated, distributed, and auto-adaptive system. It has very strong ability of self-learning, memory and association, and then it can quickly eliminate the intruders and keep itself stability. Information filtering is to choose useful information with filtering strategies from information. So, the original information is going to be as antigen, and the filtering strategies and procedure be as antibody, based on the immune self-learning mechanism, we design a model of information filtering. Then, we illustrate and discuss the model performance by experimental evaluation results.

Abstract: This paper designs a new ultrasonic position and orientation model, further, a kind of technical scheme that can achieve the goal of large-range position and orientation system based on the designed model is proposed. Aiming at the designed model, this paper deeply analyzes the influence of distribution structure and physical parameters of the sensors on the position range, resolution and accuracy, which will provide theory support for developing high-performance ultrasonic position and orientation systems.

Abstract: In order to avoid the subjectivity and limitation of advancement degree of difficulty evaluating method based on lists, a visualizing method which applies the visualization technology in advancement degree of difficulty computing process is proposed. This method takes the improved technology readiness level assessing result of the technology to be assessed as the input of the visualizing process, and visualizes the readiness status of the technology to a two-dimension coordinate graph. The area which denotes the advancement degree of difficulty of the technology developing from one readiness level to a higher readiness level is shown in the coordinate graph. A computing formula is established to get the advancement degree of difficulty of the technology. The experimental results show that the proposed visualizing method can get the difficulty degree of the technology developing from one readiness level to another readiness level objectively and accurately.

Abstract: In this paper, we present two methods to estimate the parameters of the GM (1,1)model under. The criterion of the minimization of mean absolute percentage error (MAPE) (some authors called Average relative error).A linear programming method is used to optimize the whiting value of grey derivative of GM(1,1),four published articles are chosen for practical tests of this method, the results show that this method can obviously improve the simulation accuracy. Another method is that the problem of estimation parameters of GM(1,1) model is transformed into the minimax optimization problem, then use the library function fminimax in MATLAB to solve the minimax optimization problem, the same four published articles are chosen for practical tests of this modelling method, as shown in these results, this method can obtain the local optimal parameters, yield the lower MAPE than the existing method. But it is sensitive for the initial approximation and requires a good initial approximation, the results of compared with different initial approximations show that the parameters which are obtained by the former method is the better initial approximation.