As an important tool in correlation analysis, correlation coefficients have been extensively studied and applied in many science and engineering fields. Based on two commonly used bivariate contaminated Gaussian models, this paper reviews and compares the robustness of five correlation coefficients in environments with single-channel and double-channel impulsive noise, respectively. Theoretical results indicate that the most popular Pearson′s Product Moment Correlation Coefficient is very sensitive to impulsive noise interference. On the other hand, the other four coefficients demonstrate their robustness against impulsive noise in the two models.

A model  describing a system with element theory is put forward to avoid the difference and inconsistency of the basic-element modeling. The affairelement modeling, matter-element modeling, relation-element modeling and basic-element model revising are included in the model . Also the modeling of relation among elements is proposed to normalize and conform the element modeling by adding, deleting, revising the basic-element and their characteristics. Hence， a case study of sharelearning teaching method is put into practice to illustrate the process of the proposed modeling in this paper.

In this paper, it puts forward a new design method which is oriented to the multi-functional products based on the three existing extension design methods with synthesization and refinement. Furthermore, it proves that the method of designing multifunctional products is feasible and effective, illustrated by a casemulti-functional dryer. The method of designing multi-functional products is the development and enrichment of the three existing ones of extension engineering methods. It provides a set of systematic design steps for the development of designing multi-functional products and effectively solves the contradictory problems in the design process so as to shorten the design cycle.

Epiphany is a critical step in the process of creative thinking. However it can only occur accidentally for want of the key heuristic information. With the development of information technology and extenics theory, how to enhance individual epiphany ability and make it a necessity have become a newlyemerging field of study. Based on the epiphany prototype heuristic theory, starting from the three stages of individual epiphany — to break the thinking set, activate prototype and acquire the critical heuristic information, the present paper tries to construct an information model and a route for creative thinking. Assisted by information technology, the paper combines the relevant theories of creatology, extenics and TRIZ, with the basicelement theory and extension transformation method as its basis. Teaching practices have proved that this approach can facilitate breaking the mental set and, to some extent, help make epiphany a certainty.

For multi-attribute decision making (MADM) problems with key attributes, a new decision making approach on the base of error-eliminating theory is proposed. Firstly, multi-attribute decision making problem under “one vote negation system” situation is proved the same as multi-attribute decision making problem with key attributes. Secondly, the concepts of non-optimal strategy and non-dominated strategy are given on the basis of error-eliminating theory. Thirdly, non-optimal strategies are excluded from the set of alternative strategies by the way of calculating error values, and the non-dominated strategies are prioritized and selected according to the error deviation degree. The rationality and feasibility of this model will be shown by an illustrative example finally.

This paper investigates the asymptotical stabilization via state feedback for a class of chaotic systems with a quantizer connected on the input channel. The nonlinear terms in the dynamic equation of the chaotic system are represented as the homogeneous functions with arbitrary known orders. The quantizer has one adjustable timevarying parameter with the updated law to be designed, and thus it can quantify adaptively online the state variables of the chaotic systems according to control scheme. With the help of the updated law and adaptive law of estimated boundary error of quantization, the nonlinear adaptive controller is proposed in this paper to ensure the chaotic system to be stabilized asymptotically in the presence of the quantizer. Finally, some simulation examples are utilized to demonstrate the validity of the results in this paper.

In order to ensure the safety of the RFID tag data integrity and RFID system, it is proposed that in the elliptic curve encryption double private key and double G-spot authentication protocol of RFID system, the protocol will hide tag ID in the first G point to prevent track attack. The process of Elliptic curve encryption algorithm to tag data encryption will replace the abstract process of tag data with hash function, at the same time calculate second G point. The results show that, the protocol can not only protect the integrity and security of tag data, but also prevent attacks of spoofing reader and the server.

A new progressive alignment method is proposed, while only the local coordinates of the two patches with the largest intersection at the current stage of progressive alignment will be aligned into a larger local coordinate. The method has the following features: without needing to solve a largescale eigenvalues problem and suffering from the problem of local minima; less accumulation and propagation of alignment errors.

R&D activity of members in supply chain is an important way to achieve the maximum profits of the supply chain. Under the background of the government subsidies, viewing the strategy selection of R&D competition and cooperation between manufactures and suppliers, an evolutionary game model is established to analyze the dynamic evolution process and the steady state of suppliers, manufacturers and government. Theoretical analysis and numerical simulation results show that: Firstly, there is a unique evolutionary stable strategy between the upstream & downstream enterprises in supply chain and the government. Attracted by the more benefits from R&D cooperation in supply chain, R&D cooperation is the best strategy of manufacturers and suppliers. And “no subsidies” strategy is the best choice of the government, which is the expected evolution direction of the government.

Blind quantum computation that combines notions of quantum cryptography and quantum computation can fulfill quantum computation by a client with limited or even no quantum computational power with the help of an unreliable quantum server and keep the privacy of the client′s algorithm and the data. In this article, the principles and unconditional security of blind quantum computation are reviewed. And the researchers also explore several universal protocols of blind quantum computation, analyze their efficiency and introduce the physical implementation of blind quantum computation which is based on the technology of measurementbased computation. Finally, future prospect of blind quantum computation is discussed.

The thesis lays its stress on the site selection of transfer station and treatment station of city wastes. The construction cost and freight and negative effects on environment will be taken into consideration in total cost and be restricted to the lowest level. Moreover, optimized models will be established and evolutionary algorithm will be designed to confirm the location, capacity and construction cost of transfer station and treatment station that need to be built. It also determines the conjunction point of transfer station as well as the transfer station of treatment station. Last, algorithm simulation demonstrates the feasibility and effectiveness of the algorithm.

Through analyzing the characteristics of the cobweb state microblog network, the paper points out the importance of identifying the influential user in the cobweb state micro-blog network. It focuses on the effect of the attributes of micro-blog users itself, combines the principle of PageRank algorithm, and then proposes IUDA(Influential User Discovering Algorithm) in cobweb state micro-blog relationship network to find influential users. Finally, experiments are conducted with the real user data from Sina micro-blog based on this method and are compared with two other methods. The results show that the IUDA method combined with the user itself can find influential users in cobweb state micro-blog network more effectively, and can objectively reflect the user′s influence.

With the increasing competition of telecom market, customer churn became one of the focused problems. Because the telecommunication data is huge and has the characteristic of time series, this paper proposes an improved Bayesian classification to study the customer churn problem. The improved Bayesian classification model is designed to make up for the shortcomings of the former Bayes which assumed that each attribute has the same effect on the classification results. Furthermore, by coping with the increasing data, this paper explores the incremental learning method to improve the accuracy of the classifier. The experimental results show that the proposed method has higher accuracy.

This paper, according to China's current production of plastic extrusion, proposes the optimized process parameters based on expert system to retrofit the existing control system. It also introduces the composition of expert system, manmachine interface, the establishment of information base, the design of inference machine and selflearning machine. By Visual Prolog, an expert system programmed language, the expert system configured with plastic extruder process parameters is finally realized with the required values of process parameters. Hence, it replaces the manual setting of process parameters by engineers, saves labor costs as well as improves automation and production efficiency.

In this paper, a monocular camera calibration method based on checkerboard template is presented. This method is using a highprecision CCD camera to take pictures of checkerboard calibration template which is placed on a twodimensional platform with handoperated rails. Its fixed values vary along the Z axis, and so the subpixel coordinates of checkerboard corner points yield. Then all the camera parameters can be obtained by adopting DLT calibration method, and finally the arbitrary checkerboard corner points will be reconstructed to test the accuracy of calibration by estimating in 3D spatial coordinate. The average error of horizontal and vertical coordinates are both ± 0.02 mm. Experimental data show that by using this method highprecision camera parameters can be obtained quickly and efficiently, which meets the requirements of threedimensional reconstruction and other visual inspection occasions.

For the requirements for accuracy, antiinterference and power saving of oxygen system parameters by oximeter, this paper proposes a signal amplification design by using a differential op amp amplifier circuit to enhance the signal to noise ratio and increase signal common mode rejection ratio. And because of the measurement of ambient light interference, a set of ACDC flow separation circuit is also designed which can effectively separate hardware red and infrared light, eliminate the interference of ambient light and improve the working capacity of the system. Meanwhile using differential threshold amount to process oxygen parameters can improve the signal system greatly. Hence the circuit simulation and test results demonstrate the feasibility and reliability of the whole design.

In this approach, the intelligent portable electronic nose with a gas sensor array containing ten gas sensors was used to collect the odor information of different varieties of pungent Chinese herbals. In order to get a new sensor data processing solution to pattern recognition of the Chinese herbals accurately, a manifold algorithm named Locally Linear Embedding（LLE）was used to finish the dimensionality reduction and feature extraction of the odor data. And then the Fisher Linear Discriminant Analysis(LDA) was adopted to complete the identification via clustering. After many times of experiments to optimize the parameters of LLE, the classification results are quite perfect. The results demonstrate that by using this new combined method, the electronic nose can not only distinguish 6 types of Chinese herbals, but also identify the 3 different batches and the 3 different denominations of origin accurately, which provides a new method for further analysis.

After analyzing the key techniques on the ultrasonic motor (USM) driving, this paper designs USM driver by the pushpull amplifier and parallel matching inductance circuit based on the enhancement pulse width modulator module (EPWM) of TMS320F28027 DSP. And then this design is tested under the computer simulation on the Multisim software platform. According to the characteristics of USM start, a frequency conversion start mode is also configured. Then, the software and hardware joint debugging on the USM driver is implemented which proves effective and satisfactory.

Distributed optical fiber Raman temperature measuring system is a realtime, fast, reliable and stable online measuring system. It has become a new and important detection in the field of industrial process. This paper introduces the principle and system structure of distributed optical fiber Raman temperature sensor, reviews the research history at home and abroad, and introduces the main application field and cases.

As an advanced application of LED light, LED stage light enjoys their unique superior performances of long life and fast independent color adjustment which are widely used in stage lighting. In order to continuously improve the product performance and reliability of LED stage lights, 32-bit embedded STM32F103 chip is used instead of the original 3-chip of 8-bit microcontrollers, greatly simplifying the circuit and procedure and significantly increasing the software performance. The researchers optimize and experiment the whole system′s circuit, the motion control way, the dimming way and the temperature protection to let the lamps have the better control performance, function and reliability, and to improve the motion control accuracy, stability and the approximately stepless four-color light dimmer. The principle we develop has been applied to many headmoving lights which proves very effective.

Airborne LiDAR is multisensor system. Systematic error is a main error which affects LiDAR positioning accuracy. This paper simulates flight trajectory and laser footprints based on LiDAR positioning equation. Boresight errors are introduced to analyze the relationship between LiDAR systematic error and positioning accuracy. Results show that lever arm biases have the same impact on the accuracy of laser footprint while boresight angle biases have relationship with scanning angles on the positioning accuracy.

A new method is presented to determine the fitting direction while using Dr.Bridge′s linear editor to model various parabolas in this paper. By considering convex-concave property at monotone interval of a quadratic curve, four different parabola shapes with two controlling points fitted, are provided. Based on the method, two sets of symbols are introduced to describe the monotonicity and convex-concave property of parabola. And the identification of parabola fitting direction is presented, which explores a new way to fit a parabola by two controlling points when linear editor of Dr.Bridge is used. The presented method is suitable for determining the parabola fitting direction whether parabola is fitted by two or by three controlling points. The method is illustrated by its simplicity and convenience, and efficient for program realization, which greatly promotes the modeling efficiency.

The authors use oversampling method to improve the coherence of SAR images, which makes the fringes of the studied area clearer. By using this method, the authors process 6 pairs of interferograms and derive the time series of mining subsidence. The results show that some mines in Tangshan have been subsiding rapidly from November 2004 to April 2005 with the maximum rate of 2 398 mm/yr.

In this paper, the authors investigate the optimization of acoustic energy harvesting based on twodimensional phononic crystal consisting of water cylinders in mercury background with a point defect. The numerical results show that the acoustic waves are localized and energy can be harvested by using piezoelectric film. The position of the highest particle velocity predicts the optimum position and structure of the piezoelectric film. By introducing the third component in the point defect, the optimum acoustic energy harvesting is obtained. It is found that the low density of the defect cylinder is of great advantage to acoustic localization and energy harvesting.

The glassy powder of the Bi-Si-B-Zn-Al-O system is prepared by sol-gel and melt-quenching methods. The powder is characterized by means of XRD, SEM, EMAX, IR, DSC/TG, and the similarities and differences of the microstructure under different preparations are explored roughly. The results show that both of the two have amorphous structure. Compared with melt-quenching one, the glassy powder of solgel method can be broken easily, and the particle size in the range of 1~10 μm is obtained after ball milling, the element of which is relatively close to the designed. The network structures of the two kinds of glassy powder are similar, the ［BiO₃］ triangular, ［SiO₄］ tetrahedron and ［BO₄］ tetrahedron forming the glass′s basic network, but the meltquenching glassy structure in ［SiO₄］ tetrahedron tends to be like framework, which makes the powder structure more stable, the glass transition temperature slightly higher than the sol-gel glass, and both of them are less than 600℃.

According to the undemanding heating rate of heatstorage solar water heater, a new type of plastic plate solar collector was designed. Under the condition of intermittent forced circulation, test on the performance of this collector was carried out and instantaneous efficiency curves were obtained. As a result, the average daily collector efficiency is 51%~55% and the temperature of tank is 45.8 ~50.2 ℃, which serve as a reference for the application of plastic plate solar collector.

In order to meet the requirement of the heating thermal comfort and indoor air quality, the energy flow mathematical model for the central air conditioning system with air-source heat pump water chiller and fuel combustion boiler were established in sequence to finally determine global energy flow through analyzing the comparative energy flows of the consecutive loops which begin from extraction energy from the environment and provide it to the conditioning space. As a case study, the two energy flow diagrams of heating modes with different heat sources at a hotel in Guangzhou were drawn respectively, which can visualize each energy flow, energy balances, energy losses and their main differences. Recognizing the main energy flow of the two heat sources can provide useful messages for selection and energy saving of heating mode of conditioning system.