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The study of high accuracy position system is becoming the hotspot in the field of autocontrol. And positioning is one of the most researched tasks in vision system. So we decide to solve the object locating by using the image processing method. This paper describes a new method of high accuracy positioning method through vision system. In the proposed method, an edge-detection filter is designed for a certain running condition. Here, the filter contains two mainly parts: one is image-processing module, this module is to implement edge detection, it contains of multi-level threshold self-adapting segmentation, edge-detection and edge filter; the other one is object-locating module, it is to point out the location of each object in high accurate, and it is made up of medium-filtering and curve-fitting. This paper gives some analysis error for the method to prove the feasibility of vision in position detecting. Finally, to verify the availability of the method, an example of positioning worktable, which is using the proposed method, is given at the end of the paper. Results show that the method can accurately detect the position of measured object and identify object attitude.

The paper presents a new embedded sensor method of non-contact automatic route-finding and route-tracing for stepped robot. The final system is designed and integrated into a single hardware PCB with size of 30x30x15 mm 3 . A line scanning charge couple device (CCD) with 1024 pixels is used to obtain the plane scene of route, and a pair of infrared LED is employed to provide the illumination of the route-finder. Moreover, this route-finder still includes a micro lens, CCD driver, instrumentation pre-amplifier, edge extracting circuit, FPGA circuit for position measure and logic control, direction and state display of the route-finder by LED, moving direction control pins output and power manage circuits. The router-finder for stepped robot has the advantages of simple and fast operation, easy assembly with robot, small volume, high sensitivity and precision for route-finding and tracing. The paper outlines in detail the principle of the route-finding and tracing by edge extraction and edge position measure using a CCD image sensor with a micro lens assisted by infrared illumination and a FPGA circuit. Some relational edge extraction and measure algorithms suitable for embedded system with FPGA are introduced in the paper too. Finally, the actual experiment results are given.

In this paper, for the voiced frame in the speech processing, the implementations of LPC prognosticate coefficientresolution by Levisohn-Durbin algorithm on the DSP based system was proposed, and also the implementation ofL.R.Rabiner basic frequency estimation is discussed. At the end of this paper, several new methods of sound featureextraction only by voiced frame is also discussed.Keywors: speech processing, DSP, sound feature 1. INTRODUCTION To process the speech signal more effectively is the aim of our work. Traditional study and research on speech signalincludes the study of algorithm and the algorithm iniplementation on system. The implementation on system considersimplementing the given algorithm by least computation resources and fast speed, which employs the hardware, softwareor the combination of the two. To the implementation of speech algorithm, traditional systems are mainly based on PCor specific speech processing system Due to the overhead time of the speech processing, especially the multiply andplus calculation, when these calculations are implemented on PC, we can hardly get the real time result, and the bigvolume limits its application to algorithm simulation; The specific speech processing system can only work on specific

Several problems related to the three-dimensional volume rendering from sector scanning images have been deeply studied in this paper. To counter the key problem that the points on the two adjacent images are not same interval, the recursive interpolation algorithm for the unequal interval, by which the data changes continuously and gradually, has been put forward in this paper. Therefore, the problem, how to make interpolation amid the unequal interval in the volume rendering from sector scanning images, has been well solved. Besides, the formation of outer curved layer volume is another key problem in the volume rendering from sector scanning images. The algorithm based on cubic parameter spline function for forming the outer curved layer volume has been proposed in this paper as well. Using this algorithm, the smooth outer surface can be obtained. On the basis of unparalleled two-dimensional section images, the three-dimension reconstruction from sector scanning has been firstly realized using volume rendering. And, several tested images of irregular model from sector scanning are presented. The tested results indicate that the algorithms presented in this paper are correct and practicable. The effect of reconstructed images is satisfactory.

This paper is concerned with the application of formal methods to fault-tolerant flight control systems. The analysis, design and verification of a fault-tolerant flight control system have been performed in the theoretical framework of the extended duration calculus, which is a popular formal method to handle highly complex real-time hybrid systems. The theoretical results in this paper show that the proposed approach can ensure the flight control system to work properly even after a fault happens.

The objective of this paper is present a reasonable system model to set greenhouse daytime optimal temperature thereby to achieve the most net profit. In order to set an optimal temperature point in a greenhouse, it is essential to construct plants growth model and calculate the cost of modifying environment. In this paper a soft computing system for greenhouse temperature setting has been developed and integrated. It includes three parts. One is an algorithm depending on the energy consumption of each component of heating and ventilation equipment according to two reasonable formulae. The other is a neural network for forecast the photosynthesis rate of tomato according to light intensity, temperature, CO 2 concentration, and LAI. The sample data rooted in TOMGRO. The last part is a GA for searching an optimal temperature setting point in daytime.

A software design of a distributed automatic testing system is introduced in this paper, which is used for the flight control system (FCS) of unmanned air vehicle (UAV). The RS485 network is adopted for testing several FCS at the same time in the distributed structure software. In the software, two programming technologies, "multithread" and "knowledge base (KB)" are used. The implement of such key technologies, the entirety design idea and the actual design results of the software are also shown in the paper.

Optical tomography technique is very important in changing conventional techniques for the development of imaging science. It will be applied widely in the fields of biomedical imaging, material structure analyzing and blurry martial target distinguishing etc. In this paper, we introduce the application of a multimode optical fiber sensor in tomography technology. Optic fiber with polished terminations requires the incident ray within a certain angle, so it usually causes deficiency of the light power entered into the optical fiber and diffuse the emergent ray, so polished terminations make it difficult to receive and detect the emergent rays. In order to solve the two problems above, a sphere lens is designed for one termination and a cylinder lens is designed for the other termination. This paper uses mathematics to analyze the relationship between the sphere lens radius, the cylinder lens radius, refractive index of the optical fiber. The relationship between the scanning angles and the numbers of the numbers of the received optical fiber is researched in the air medium, and the designing method for the sphere lens and the cylinder lens are present.

Unmanned Air Vehicles (UAVs) are becoming an integral part of future military forces. This paper presents a three-layer autonomous control architecture for UAV and discusses how each layer functions to enable autonomous operation of UAV. Mission planning is the kernel of UAV autonomous control system. In this paper, PGG (Plan-Goal Graph)-based mission planning algorithm is discussed in detail and used to solve the UAV Suppress Enemy Air Defense (SEAD) mission planning problem successfully.

In many application areas such as military photointerpretation and remote sensing, images are usually subjected to geometric distortion and blur degradation. The determination of invariant characteristics is an important problem in pattern recognition. In this paper, an approach to derive blur and affine combined invariants is presented to recognize the objects. As we prove in the paper, they can be constructed by combining affine moment invariants and blur invariants derived earlier. The tests show that combined invariants can recognize objects in the degraded image without any restoration and geometric normalization.

The analyses of two-dimensional power spectrums of engineering surfaces are effective and valuable for 3D surface characterization. The past theoretical analyses and experimental results have proved that the areal Fourier spectrum analysis and spectral moments can be both used to describe the surface texture, especially for the directionality of surface. In this paper, the computing procedures of angular spectrum and the second order spectral moment are first introduced, and the angular spectrum moment has been used to evaluate the anisotropy of 3D rough surface. Then by analyzing some typical samples machined by various techniques, such as fine faced-turned, precision ground, lapping, electric discharge machining etc., the paper investigates the directional differences on the surfaces by the angular spectral analysis techniques. And some relational issues about this aspect are also discussed.

In recent years, neural network system has got extensive application in the field of aviation because of its strong learning ability, the distributed storage of knowledge, associated synchronization management and restrain of random error etc. There are a lot of network types. Among them, BP (Back Propagation) neural network is the most extensive one that been used. In this paper, BP neural network theory is briefly introduced and is applied to analyze the sample of PW4056 series aero engine. Correlation analysis and theory analysis is adopted to select the input variable. The method of this paper presents a new synthetically prediction. Result indicated that this method could get practical and effective network model. Compared with the traditional regression analysis, neural network have a wilder application foreground.

Magnetorheological fluid (MR fluid) is highly concentrated suspension of very small magnetic particle in inorganic oil. The essential behavior of MR fluid is its ability to reversibly change from free-flowing, linear viscous liquids to semi-solids having controllable yield strength in milliseconds when exposed to magnetic field. This feature provides simple, quiet, rapid-response interfaces between electronic controls and mechanical systems. In this paper, a mini-bus MR fluid damper based on plate Poiseuille flow mode is typically analyzed using Herschel-Bulkley model, which can be used to account for post-yield shear thinning or thickening under the quasi-steady flow condition. In the light of various value of flow behavior index, the influences of post-yield shear thinning or thickening on flow velocity profiles of MR fluid in annular damping orifice are examined numerically. Analytical damping coefficient predictions also are compared via the nonlinear Bingham plastic model and Herschel-Bulkley constitutive model. A MR fluid damper, which is designed and fabricated according to design method presented in this paper, has tested by electro-hydraulic servo vibrator and it's control system in National Center for Test and Supervision of Coach Quality. The experimental results reveal that the analysis methodology and design theory are reasonable and MR fluid damper can be designed according to the design methodology.

This paper proposes a new coupled pitch and velocity control of a doubly-fed linear motor, which is applied for a novel mechatronic railway system based on the operation of shuttles. Compared with conventional trains, a single axle under-carriage is developed for the shuttle. The primary of the linear motor is installed between the rails and the secondary is fixed on the axle only via the middle. In order to prevent the secondary from pitching and maintain a constant air gap between the primary and the secondary, the secondary windings are divided into two parts to be supplied separately. A decoupled pitch and velocity control is introduced in reference one in detail. Because the currents for pitch control don't contribute to velocity control. They cause higher power losses of the system. Therefore, a coupled pitch and velocity control is developed and presented in this paper.

On the basis of both-branch fuzzy sets, the paper builds up the study frame of both-branch fuzzy logic, which is reasonable extension for single-branch fuzzy logic. Proceeding with both-branch proposition, the paper provides the characteristics of both-branch fuzzy logic, Disjunctive Normal Form and Conjunctive Normal Form.

In this paper, we mainly aim at D-S theory of evidence and the network intrusion detection these two fields. It discusses the method how to apply this probable reasoning as an AI technology to the Intrusion Detection System (IDS). This paper establishes the application model, describes the new mechanism of reasoning and decision-making and analyses how to implement the model based on the synscan activities detection on the network. The results suggest that if only rational probability values were assigned at the beginning, the engine can, according to the rules of evidence combination and hierarchical reasoning, compute the values of belief and finally inform the administrators of the qualities of the traced activities -- intrusions, normal activities or abnormal activities.

This paper presents a feasible algorithm for mobile robot localization. Localization system is composed of an encoder, an electronical compass, a fixation vision system including a CCD camera and a stepping motor. Multisensor information fusion technology, extended information filter, is adopted for estimating the position and heading of robot. New measurement equation which is based on fixation vision geometric constraint is proposed in this paper. The coordinates of the landmark is not needed to know in this method, in other words, any point in the observed scene can be selected as a landmark. The results of simulation show the algorithm validity. The comparative results show this algorithm has advantage in autonomous mobile robot localization application than Dead-Reckoning.

This paper presents an availability analysis method based on performance indices for Local Area Network (LAN). Through decomposing the complex LAN into several independent sub nets, this paper establishes the modular availability model with GSPN (Generalized Stochastic Petri Net), which considers the interaction among software, hardware and protocol. From the angle of user interest, the interactions between modular sub nets are linked with service performance of LAN such as throughput and transition delay. Directing to the difference between rapid net and slow net in ALN, this paper presents the time-order algorithms to calculate their availability respectively. Connect the reliability of various nets at system level and optimize the object function of synthetic availability to realize the availability analysis for LAN. The experimental results indicate that the availability model and its time-order algorithm are content.

The paper introduces briefly the characteristics of the fiber-optic sensor and the principle of transmission. According to its own advantage over traditional sensors, several kinds of the optical fiber sensors here mentioned will be applied to measure the items such as temperature displacement, stress and so on. In the meanwhile the article also introduces the latest application on the aero-engines .For example the paper will illuminate that the infrared frequency charts can achieve temperature and then mention the concerned system check up the blades when the aero-engine is in operation. Eventually it will introduce the situation of development of the fiber-optic sensor and have a trend for the integration, intelligence and automation.

A method for design of flight controllers that provides desired handling qualities over a wide range of flight conditions is presented. The aircraft considered in this paper is capable of flight at very high angles of attack and has thrust vectoring as well as conventional aerodynamic control surfaces. This paper only considers the longitudinal control. The control design method is to use an inner-loop, dynamic inversion controller and an outer-loop, the main-auxiliary fuzzy controller without quantification. The dynamic inversion controller lienarizes the ptich rate dynamcis ofthe aircraft. However, since model uncertainties prevent exact linearization, there will always be errors associated with this controller. The outer-loop fuzzy controller provides robustness to errors due to the lack of exact cancellation of the pitch rate dynamics by the dynamic inversion controller. In addition, its simulation results are also provided.

A general 3-D TDK model developed further in this paper has been successfully applied to simulate a surface micromachimned electrostatic or capacitive ultrasonic transducer with vacuum-sealed air-cavities (i.e cMUT). Also, the paper gives a reliable prediction of resonant and anti-resonant frequencies of a typical cMUT.

Chaotic systems are sensitive to certain signals and immune to noise at the same time, the properties of which make it potential application in signal detection and equipment fault diagnosis. In this paper, some Virtual Instruments (VIs) are designed to implement the Duffing oscillator which is used for weak signal detection. The basic design idea of the VIs is presented and the diagrams of some VIs are shown in the paper. At last, some detection results of the simulated signals and the real signals are given. It is shown that to use VI for the detection in the field is advantageous.

The dynamic calibration methods for both transducers of ultra high and ultra low temperature are presented in this paper. The dynamic calibration methods for general temperature transducers are already fully discussed in the references. The dynamic calibrations of following transducers are fully discussed in the references: force, acceleration, angular speed (gyroscop), pressure, temperature, angle of attack, resonant vibration pressure transducer, many kinds of servo transducer, etc. The dynamic excitation signal generators of different kinds of transducers are quite different in the dynamic calibration systems, but the other parts of the dynamic calibration systems are very similar, e.g. The data acquisition and recording equipment of the dynamic responsed signal of calibrated transducers. So, the dynamic excitation signal generators of both transducers of ultra high and ultra low temperatures and the block diagrams of dynamic calibration systems are presented in this paper. Finally, some discussions of the dynamic excitation signal generators of different kinds of the temperature transducers are given.

Aimed at general devices development, this paper discussed the development of USB interface and software development. With an example, using PDIUSBD12 which support parallel interface, the paper analyzed its technical characteristics. Designed different interface circuit with 80C52 singlechip microcomputer and TMS320C54. series digital signal processor, analyzed the address allocation, register access. According to USB1.1 standard protocol, designed the device software and application layer protocol. The paper designed the data exchange protocol, and carried out system functions.

In this paper a novel motor-drive load simulator based on compensation control strategy is proposed and designed. Through analyzing the torque control system consisting of DC torque motor, PWM module and torque sensor, it is shown that performance of the motor-drive load simulator is possible to be as good as that of the electro-hydraulic load simulator in the range of small torque. In the course of loading, the rotation of the actuator would cause a strong disturbance torque through the motor back-EMF, which produces extraneous torque similar as in electro-hydraulic load simulator. This paper analyzes the cause of extraneous torque inside the torque motor in detail and presents an appropriate compensation control with which the extraneous torque can be compensated and the good performance of the torque control system can be obtained. The results of simulation indicate that the compensation is very effective and the track performance is according with the request.

Hierarchical image fusion approaches for CCD/IR images are studied and the performance analysis of these fusion approaches is completed in this paper. The Hierarchical fusion methods include FSD pyramid, Laplacian pyramid, ration pyramid, contrast pyramid, gradient pyramid, morphological pyramid and discrete wavelet transform. The performance measures of evaluating fusion images deal with standard deviation, entropy, cross entropy and spatial frequency. Experimental results show that morphology pyramid method is more suitable for CCD/IR image fusion than other ones proposed in this paper.

A mobile workstation for in-site synthesis calibration including vehicle system and universal synthesis calibration platform is described in this paper. The vehicle system supplies the transportation ability and provides the environment of in-site calibration. The universal synthesis calibration platform with the improved capability of redesign and expansion, can synthetically calibrate many kinds of synthetic testing instruments. In order to catch the goals above, the framework, designing methods and measuring value transfer of the platform is discussed in this paper. The mobile workstation has made itinerant measurement for many kinds of synthetic testing instruments possible. It does not only solve the problem of on-line calibration of bulky synthetic testing instruments in the field, but also improve the efficiency and profit of the current measurement.

Omnidirectional camera is able to obtain 360 degree images of surrounding environment directly. These images contain the abundant information. And this equipment has no any revolver. It is a new scientific research focus of vision techniques. This technology has widely applied prospects in scientific research, community service, industry and military field. In order to get a widely visual scope, curved surface mirror are usually adopted as image collector. Especially the spherical and the hyperbolic mirror are in common. But the observed images were severely distorted (warping). For analyzing and explaining the images correctly, resumption for reconstruction of distorted visual images has to be done. This paper presents the implementation of an omnidirectional camera combining spherical mirror with regular lens. And there are some comparisons of the spherical mirror with the hyperbolic one. The hyperboloid imaged by a standard perspective camera does have a single viewpoint (SVP). But the spheroid imaged by a perspective camera does not have a single viewpoint. This paper settles this drawback by showing how to construct approximately correct single viewpoints in spherical system. This construction is called to be the iso-angle method. Using a mathematical method for approximating a single viewpoint and an iso-angle mapping, a SVP device can be constructed under these conditions. This paper also introduces the principle and structure of omnidirectional camera. In particular, the algorithm of omnidirectional image warping and the experimental results are also discussed.

This paper presents an experimental testing system for identification of linear oil-film dynamic coefficients. The testing system consists of a complicated mechanical test rig, a series of electric driven devices and an electronic measurement system. The theory of the testing system, the construction of the system and some measurement techniques are studied in the paper. The mathematic model of the test is derived from a first-order Taylor series expansion of oil-film force formula. Using the data, acquired by the testing system from experiments, the linear oil-film force coefficients can be recognized. The recognized coefficients are valid. The experiments indicate that the testing system is feasible, the design of the test rig is effective and the electric measurement is accurate.

The paper presents an optimized design method for a flexible and economical embedded DSP system that can implement complex processing algorithms as biometric recognition, real-time image processing, etc. It consists of a floating-point DSP, 512 Kbytes data RAM, 1 Mbytes FLASH program memory, a CPLD for achieving flexible logic control of input channel and a RS-485 transceiver for local network communication. Because of employing a high performance-price ratio DSP TMS320C6712 and a large FLASH in the design, this system permits loading and performing complex algorithms with little algorithm optimization and code reduction. The CPLD provides flexible logic control for the whole DSP board, especially in input channel, and allows convenient interface between different sensors and DSP system. The transceiver circuit can transfer data between DSP and host computer. In the paper, some key technologies are also introduced which make the whole system work efficiently. Because of the characters referred above, the hardware is a perfect flat for multi-channel data collection, image processing, and other signal processing with high performance and adaptability. The application section of this paper presents how this hardware is adapted for the biometric identification system with high identification precision. The result reveals that this hardware is easy to interface with a CMOS imager and is capable of carrying out complex biometric identification algorithms, which require real-time process.

Exhaust Gas Temperature (EGT) of aero engine is one of pivotal technical indexes, as well as a parameter represents the quality of shop servicing. Factors act on it are complex and incalcuable, but the work presented here concerns the blade tip clearance effects on it. The present study explores that efficiency of modern gas turbines is badly effected by the gaps between rotors an stators; Some literatures reported: efficiency decreases 1.5% when clearance increases 1% length of blade and every 1% efficiency declined it means fuel cost increases 2%. However, the variety of tip clearance is very intricate and difficult to define the change of dynamic tips clearance by theoretic calculation but mainly depend on observation. Data of tip clearance discussed in this paper are static clearance before test and emphasize particularly on investigating the relationship of data of assembling blades and EGT. Besides, BP neural network is adopted in this paper to forecast the effect of tip clearance on EGT.

The application of computer network has mushroomed with the networking manufacture, networking instruments and etc. The ability of the production or system that can endures the breakage and the fault is a very important performance index. Especially today, the problems by reason of information security including hidden failures and defects in the system directly threaten the security and performance of system. This performance index to indicate these cases is the vulnerability. Networks vulnerability is defined as the abilities of network which to endure attacks, destroy and faults, also being called invulnerability of network. Vulnerability is often measured by the degree of vulnerability, which directly indicates the magnitude of invulnerability. This paper firstly introduces the conception of networks vulnerability, and distinct the analysis methods of networks vulnerability. The results of this paper are being looked forward to giving much direction on the system analysis and synthesis too.

Vibration environment is one of most important environmental factor that may cause product failure. The simulation of vibration environment in laboratory is very necessary. This paper describes a vibration controller that can simulate vibration on electro-dynamic and hydraulic shakers. The vibration is generated according to the test profile by electromagnetic or hydraulic shaker. The test profile is defined in shock waveform, random PSD, sine, or sine on random. The controller is a computer-aided-test system. By compensating the dynamic behavior of the shaker system, fixture and test items, it can replica vibration environment to meet the demand of test profile. The control strategy and software implementation of the controller are presented in this paper.

This paper aims at solving the deficiency of flight-path control system of Unmanned Aerial Vehicle (UAV). On the basic of analyzing the problems of flight-path control technology of UAV, this paper uses the updated automation technology -- digital preview control theory as flight path optimizing measures, and establishes flight path optimizing model of UAV to have simulation analyses. It can improve UAV with higher mobility and rapid reaction capability, so it has important application value in army.

As to the high safeties and reliabilities of the magnetic suspension train, the most fundamental rule is that under all supposed running disturbances, faults, and other urgent conditions, and at any time, the running train can all stop at any given point, where the passengers can get off the train completely and can all find a safe stopping place. The object studied in this paper is the CMS-3 type electromagnetic suspension sample train developed in the National University of Defense Technology. Based on the method of fault tree analysis, the safeties and the reliabilities of the key part (the power system) of the train are analyzed systematically. And the instructive viewpoints and the improving measures are put forward.

A novel frame shift and integral method for the enhancement of moving image sequence acquired by MAVs is introduced. In this paper, we first describe the method of frame shift and integral, then the relationship between the shift value and flight velocity, flight height of MAVs is discussed, and the model to calculate the shift value of moving images is established. Moreover, the solution to remove the ladder stripe caused the opening section of shifted image is given. Finally, the imaging in the flight of MAVs is simulated. The experimental results show that 1) The calculated values of the shift value accord with the actual values, 2) With the increasing of the number of integrated frames, the SNR (signal noise ratio) of moving image is increased obviously.

A new non-touching ultrasonic method for measuring the fixed liquid level of containers and its implementing way, based on the penetration attenuation theory of ultrasonic remanent signals container's wall, are first time presented in this paper. For the transducer being only needed to be clung to the outer surface of containers, it is very convenient for the fixing and the sensitivity and reliability also come high. It is especially suitable for measuring and monitoring the upper level of liquid in high-pressure containers and high-corrosive liquid containers.

Robot acquiring skill is a process similar to human skill learning. Reinforcement learning (RL) is an on-line actor critic method for a robot to develop its skill. The reinforcement function has become the critical component for its effect of evaluating the action and guiding the learning process. We present an augmented reward function that provides a new way for RL controller to incorporate prior knowledge and experience into the RL controller. Also, the difference form of augmented reward function is considered carefully. The additional reward beyond conventional reward will provide more heuristic information for RL. In this paper, we present a strategy for the task of complex skill learning. Automatic robot shaping policy is to dissolve the complex skill into a hierarchical learning process. The new form of value function is introduced to attain smooth motion switching swiftly. We present a formal, but practical, framework for robot skill learning and also illustrate with an example the utility of method for learning skilled robot control on line.

The paper introduces a high speed image acquisition system for medical Electronic Endoscope based on PCI bus. The popular PCI controller-AMCC S5933 is utilized to implement PCI bus interface. FPGA is applied to control the data transferring and implement S5933 ADD_ON interface. The device driver of Windows is developed based on WinDriver. The experiment results show that the frequency of image acquisition can reach 33 MHz and the frame rate can be up to 50 fps at 800x600.

Real time auto-focus systems based on image analyzing are different from other auto-focus systems based on range measuring in high precision of focusing and low accuracy demand of assembling and manufacturing the parts. To construct a real time auto-focus system based on image pattern recognition, the key is foundation of image definition and preprocessing methods for original image. The paper puts forward an image definition function arithmetic combining the power spectrum based on FFT with the wavelet filter based on Meyer's wavelet. Fast FFT can be realized with specialized hardware. It can improve the computing speed of image definition function and provide the auto-focus system based on image analyzing with a fine real time and high accurate model.

Embedded system design often employs co-simulation to verify system's function; one efficient verification tool of software is Instruction Set Simulator (ISS). As a full functional model of target CPU, ISS interprets instruction of embedded software step by step, which usually is time-consuming since it simulates at low-level. Hence ISS often becomes the bottleneck of co-simulation in a complicated system. In this paper, a new software verification tools, the RTOS software simulator (RSS) was presented. The mechanism of its operation was described in a full details. In RSS method, RTOS API is extended and hardware simulator driver is adopted to deal with data-exchange and synchronism between the two simulators.

Electron tunneling accelerometer has the advantages of high precision, small volume, low consumption and so on. This paper introduces the design on a lateral dual-element Electron Tunneling Accelerometer. The model, structure design, parameters test and fabrication process are provided in detail. The results of analysis and simulation show that the working frequency of sensor could be up to 2 kHz.

A dynamic Augmented Reality (AR) system, AR-PAINTER, is presented in this paper, which is an indoor, real-time and multi-user system for painting virtual textures and images to the surface of a real object. The system is designed with a vision-based algorithm, which tracks markers of special features on the real object for the purpose of registration. The registration algorithm and the generation of virtual image are discussed. The experimental results are also presented and the results validate the feasibility of the proposed AR system in other applications.

The application of position servo synchronously tracking system constituted with PLC and general AC servo system in digitalization control intelligence can-body high-speed resistance welding machine is introduced in this paper. By studying the digitalization control system of automatic can-body resistance welding machine, technologic upgrade of product is made, and application of PLC in controlling general AC servo motor multi-axes ganged system to replace conventional mechanical ganged mechanism is developed. It makes the coordination of movements between machine actions can be ensured and every correlative actions can quickly and precisely run synchronously, quondam mechanical branching driving can be replaced, and "mechanical locking" between quondam movements can be changed to the "electronic locking," complex mechanical structures such as cams, stepless speed changing machines and universal joints and so on can be omitted, so the working capability of whole machine can effectively be enhanced and synchronization between the machine actions can rapidly be reached. The application realizes digitalization process control, enhances reliability, stability and manufacturing efficiency of the machine, and reduces the manufacturing cost.

The high precision and high speed miniaturized phototheodolite system composed of two phototheodolites and other apparatus can measure the azimuth angle and the pitching angle of the aircrafts when they are taking off in aerodromes and ranges. And the measure system can also take down the continuous flight attitude of the aircrafts. The rotary table of the phototheodolite is one of the most important components of the measure system. It sustains the theodolite and affects the system's precision. This paper elaborates on the issues, such as the comparison of different designs, the reasons of confirming the best design, the analysis of the precision of the rotary table. The design for the miniaturized rotary table lays a firm foundation for the design of the smaller and more economical high precision and high speed phototheodolite measure system.

The paper presents a scheme of the miniaturization of APT system and the design of the system based on the investigation of status in quo. It deals with the infrared image of the other terminal's beacon from the Charge Coupled Device (CCD) by the Complex Programmable Logic Device (CPLD). The result of the transaction is delivered to Single Chip Microcomputer (SCM), which controls the micro-servomotor. Subsequently, the precision drive system drives the optical system that uses only one light axis for signal beam and beacon to finish the acquisition, pointing, and tracking of the communication terminals. The anlayses of the APT system's error indicate that the tracking error limits in 70uRad with the weight of the system lighter than 8-kilogram.

In this paper, we present a vision algorithm to measure the orientation of the UAV with respect to the runway during the landing. The horizon line is detected first and with the information of the horizon line, the boundary angles of the runway are recovered. From the horizon and the boundary angles, the pitch and bank angles can be determined. The range in which the yaw angle locates is also obtained.

BP network is applied on ECNT (Eddy Current Nondestructive Testing) to identify defect fast in this paper. Due to BP network having the disadvantages of large numbers of iteration and local minimum values, authors use RBF network on ECNT. The results show that numbers of iteration using RBF network are reduced faster than using BP network, and it is possible to detect online by RBF network.

In this paper, a fuzzy controller with amending factors is proposed and illustrated through a specific example. And the control effects with respect to different number of amending factors are compared. The results show the superior performance of the fuzzy controllers with amending factors because of the adaptive regulation of the fuzzy inference rules according to the error.

Referring to rigid rotor with remarkable gyroscopic effect, nutation at high rotational speed is unstable if phase lag exists in decentralized controller of magnetic bearing system. Based on radial kinematic model of the rotor and root-locus, this paper analyzes the relation between nutation stability and system phase lag. Then a simple phase-leading compensation method based on nutation track prediction is proposed. Simulations and experiments show this method can compensate phase lag with regard to nutation control and thus can improve system stability effectively.