Advanced Materials Research Vols. 301-303

Abstract: PVC filled with carbon black (CB) composition were prepared by a conventional melt-mixing method. The effects of CB on the negative-temperature-coefficient (NTC) effect and the resistivity-temperature characteristic of PVC/CB composites were studied. Our present research suggests that percolation threshold can be obtained for the content of CB 10%. The reasons of NTC phenomenon were also investigated from point of view of polymer structure. We also discussed relationship between the current and voltage, that is, the I-U characteristic of the composites can be divided into two regions, ohmic and nonohmic according to the different content of CB and voltage.

Abstract: Data clustering has been received considerable attention in many applications, such as data mining, document retrieval, image segmentation and pattern classification. The enlarging volumes of information emerging by the progress of technology, makes clustering of very large scale of data a challenging task. In order to deal with the problem, more researchers try to design efficient parallel clustering algorithms. In this paper, we propose a parallel DBSCAN clustering algorithm based on Hadoop, which is a simple yet powerful parallel programming platform. The experimental results demonstrate that the proposed algorithm can scale well and efficiently process large datasets on commodity hardware.

Abstract: According to the relationship of glucose content in diabetes saliva and blood, the biosensor for detecting saliva glucose was introduced based on electrochemical detecting principle, glucose oxidase was immobilized onto the surface of electrode by glutaraldehyde cross-linking. The measuring system was designed by using potentiostat for amperometric chemical sensors. The characters of the microsystem has been demonstrated with the detection of standard glucose solution concentration of saliva parameter. Compared with the data obtained from the instrument CHI660A, it showed that has a good linear relation in the linear range of 0-2200µmol/L, with the correlation coefficient of 0.9531.

Abstract: Camera calibration is one of the key technologies of Computer Vision. This paper presented a microscope camera calibration method based on grid corner detection for the particular application area of microscopic measurement. The method considered not only the radial distortion, but also other non-linear factors, such as centrifugal distortion and thin-prism distortion. First of all, the actual corner coordinates information of the grid was obtained through the improved corner detection method. Then, the matrixes of lens distortion parameters and camera internal parameters were gotten according to the camera imaging model. Finally, through the established non-linear camera model, the average error between fore-projection and re-projection grid corner coordinates was obtained by re-projecting the grid corner coordinates. Experimental results show that the corner detection algorithm is accurate and the final calibration error is 0.6319 pixel, which is applicable to microscopic camera calibration.

Abstract: Spectral images contain a large volume of data and place considerable demands on computer hardware and software compared with standard trichromatic image storage and processing. Although the imformation of reflectance spectra may be represented efficiently using linear models a key task is to answer how many basis functions of a linear model are necessary for a given accuracy of representation. Because the most common application of spectral images is the reproduction of color and images, it is highly important to study the tolerance of human perceptions over spectral images represented by low-dimensional linear models. In this study several data sets and psychophysical studies have been used to investigate how many basis functions are necessary to represent a spectral image to be indistinguishable from the original image. The raw objective experiment datas are analysed by a comprehensive probit analysis based on the bootstrap method, and results show that the perceptual tolerance for spectral images reconsctucted by variouse number of basis functions is highly image dependent.

Abstract: This Paper Proposes a Kind of High-Speed Hardware Implementation Method by the Adaptive Equalizer (LMS Equalizer) Based on MSE Criteria. this Design First Makes Full Use of FPGA Internal Hardware on Time-Multiplier (DSP48Es), and Uses the High Throughput of the Streaming Design. then Reoccupy Matlab Software Simulation and Fixed Point Design, Finally Realized ML506 Development Board in Hardware Association Simulation. Experimental Proof, both the Simulation Results Are Consistent, and it Shows that the Proposed Algorithm Is Feasibility and Efficiency, and Has a High Application Value.

Abstract: The Greenhouse Temperature Is one of the Key Factors for Controlling the Growth of Crops. Traditional Methods of Temperature Monitoring Can Not Meet the Modern Greenhouse Requirements of High Accuracy, Fast Acquisition and Response. a Greenhouse Temperature Monitoring System Based on MSP430 Was Designed. this System Uses Digital Temperature Sensor DS18B20 to Measure Temperature, MSP430 to Process Data and Transmit Data to the Host Computer through RS485 Bus, Realizing the Real-Time Detection and Long-Distance Transmission of Greenhouse Temperature. this System Has the Features of Simple Structure, Low Power Consumption, Stability and Strong Portability Etc.

Abstract: In this paper, the mass events of telecommunication network are researched, the none fault events reduction method and repeat events reduction method are proposed after researching the events of telecommunications network, on the basis of researching the characteristics of the events of telecommunications network, the improved methods were proposed. Further, in the aspect of event reduction performance, proposed the fingerprint algorithm, the events reduction process of inefficient much text comparison convert efficient integer value comparison, effectively improve the performance of the event reduction, meets real-time event handling performance requirements.

Abstract: Telecommunications network fault location process of the root cause is the fault diagnosis process, there are mature products in general is the use of rule-based approach, rule-based approach is not suitable because of its inherent defects in the application of large-scale telecommunications networks, Thought about the uncertainty and incomplete of telecommunications networks events in nature, this article applied Bayesian network method to solve the information uncertainty and incomplete of telecommunications networks events, taking on the Bayesian reasoning method, proposed three optimization methods, namely, narrow range method, pretreatment method and the results of validation and verification method. with experiment on an actual existing network, these tree methods can effectively improve the telecommunications network fault diagnostic accuracy, lower false alarm rate.

Abstract: To overcome the difficulty of field fault diagnosis in the complicated circumstance of construction machinery, the distributed expert system of fault diagnosis is developed in this paper. According to the technical requirements, the hardware platform based on smart industrial portable data terminal is performed. Meanwhile, the modular software of the fault diagnosis expert system is implemented. Its hardware is mainly composed of intelligent portable field testing unit as well as the central control computer. The software platform mainly consists of PDA modules for field fault testing and diagnosis, expert system module, maintenance support and data query module, training module, help module and report printing module. The work has greatly enhanced the capability of field fault detection, diagnosis and maintenance support in military units.