A new type of powersplit device(PSD) was provided for the compound coupled hybrid electric vehicle(HEV) to break through the limitation of Toyota hybrid system(THS) patented by Toyota company. The structure and working functions of the traditional level gear differential were studied and analyzed, and compared with the THS in the Prius HEV produced by Toyota company. It was found that it is feasible to apply the traditional differential as the PSD in the compound coupled HEV through modification and development. The ultimate feasibility was validated by simulations.

An electric power steering system was developed for a pure electric bus. The structure and working principle of the developed steering system were introduced. The control strategies of the system in the powerassisted control mode, the damping control mode, and the realigning control mode were analyzed. The developed steering system was integrated into a pure electric bus which was tested on the road. The results show that the developed electric power steering system is characterized by energysaving, environment friendliness, steering easiness and driver smooth hand feel.

Taking a 9 DoF fullvehicle model as an example, the vehicle vibration structure was discretized with the idea of finite element method(FEM). The element stiffness matrix and damping matrix were given by the transform of element displacement. The coefficient matrix of the mathematical model of the vehicle vibration was assembled according to the position of the element displacement in the vector of structure displacements. A mathematical model of vehicle vibration was built as the forced displacement disposed of as the restraint. The vibration response variables were deduced with the idea of FEM, and their simulations were realized by the virtual excitation theory. The results show that the combination of the modelling and the simulation provides a practical approach to the random vibration analysis of complex vehicles.

A new type of electronic controlled sliding clutch which is friction free at disconnection mode was designed, and for the vehicle acceleratingsliding driving mode a fuel saving control strategy based on adjusting the economical velocity threshold by the connectingdisconnecting action was proposed. The offline simulation was performed with the MATLAB simulation platform to analyze the effect of the velocity threshold on the fuel consumption. The road tests were done to complete the matching of velocity thresholds. The results show that the developed electronic sliding clutch and its control strategy are characterized by significant fuel saving effect.

The calculation of bushing stiffness was introduced in the software ADAMS/Car, and based  on it a rigidflex coupling model was built for the automotive double wishbone suspension system.The sensitivity analyses of the siffness of different rubber bushings were done by the software ADAMS/Insight, and the influences of the rubber bushing stiffness on the wheel alignment parameters and the suspension stiffness were analyzed, and the change patterns of the wheel alignment parameters versus the rubber bushing stiffness were obtained. Taking the scale factors of the bushing forces that affects significantly on the wheel alignment parameters as the design variables, the camber angle, the toe angle, the kingpin inclination angle and the wheel track as the optimization targets, for the different scale factors of different bushings, the workspaces were achieved automatically by ADAMS/Insight, and the simulating calculation was performed. The wheel alignment parameters were optimized by filtering the workspaces according to the target functions.

A multibody dynamics model was built for the floating cab suspension system of a commercial vehicle through the interactive method in the software ADAMS. The built model was simulated with both the vibration modal analysis and the transmission characteristic method, and the full vibration characteristics of the vehicle cab suspension system were achieved. The simulated results were verified by tests, proving the model is sufficiently exact and can be used to evaluate the vibration isolation behavior of the cab suspension system.

The fundamentals of the modal density was introduced, and a semiempirical formula calculating the modal density when the surface curvature changes was deduced. A statistical energy analysis(SEA) model was built for a certain domestic car, and the modal densities of the simplified car subsystems were calculated. The modal density of each subsystem was also calculated with the finite element analysis(FEA) method. Both results were compared each other. The 1/3 octave band spectrums of the car interior driver earvicinity noise were predicted at speed 100 km/h by both the subsystem modal density calculation and the FEA calculation. Both results were compared with the test results. The effects of calculation precision of the subsystem modal density on the precision of car interior noise prediction were discussed. The results indicate that the car interior noise prediction precision by the SEA model can be improved effectively by enhancing the modal density calculation precision of the car subsystems, the predicted error of the car interior noise can be kept within 1 dB(A). The model results satisfy the requirement on car interior medium and highfrequency noise prediction at the car development phase, providing a reference for the car acoustic design.

Based on the study of the performance of automotive shock absorber, an Improved Particle Swarm Optimization (IPSO) algorithm for automotive shock absorber optimization is proposed. This algorithm introduces a probability parameter into the standard PSO algorithm, thus significantly improves the global optimization and convergent rate in comparison with standard PSO. Using this IPSO algorithm, the main parameters of automotive shock absorber are optimized. Results show that this method can significantly improve the damping performance of automotive shock absorber in compression and recovery processes and the ride comfort performance.

The effects of the test section geometry of the open type automotive wind tunnel on the test results were investigated by numerical simulation based on computational fluid dynamics(CFD). The factors affecting the test in the open type automotive wind tunnel were discussed. The effects of the nozzle section area, the collector section area and the test section length on the measurement of aerodynamic drag coefficient were studied by numerical simulations to obtain the change trends of the aerodynamic drag coefficient along with these geometric changes. The results show that the nozzle area affects the drag significantly, the collector area and the test section length have less effect than that of the nozzle area. The effect of the air chamber was also explored preliminarily and it was found that the air chamber affects little on the aerodynamic drag coefficient.

The correctness and feasibility of the concept autobody model were validated by static stiffness comparison. Considering the important effect of the Tjoints on the global stiffness of the autobody, a Tjoints model was integrated into the concept autobody model, and a mixed model TJB including the Tjoints and beam elements was built. Weighing the actual contributions of different Tjoints to the open stiffness under torsional condition, the key Tjoints of the body roof were selected as the region of modification. The topology optimization was performed using the variable density method, the Tjoints were reinforced by strengthening plates according to the optimization result and the structure feature of the autobody,achieving the favorable modification effect.The proposed method accelerates the design process, provides the reasonable structure with excellent performance.

The features of different design concepts of the diesel engine electronic accelerator system were compared, the design criteria of the electronic accelerator with the linkage mechanism were analyzed. The geometric parameters and construction of its components were defined, their strengths were checked, and the optimization was realized by the computeraided design softwares such as CATIA, Matlab & Simulink,MSC.Adams, which are capable of analyzing comprehensively the design concepts and their rapid modification, thus shorten the design cycle greatly. The setup of the electronic accelerator test system was introduced and its engine bench test and vehicle test were performed. The test results show that the developed system  is characterized by good speed followup and regulation performances. An automated manual transmission with the developed electronic accelerator system gives out good vehicle ride comfort and reduces the synchronizing period of driving and driven plates of the clutch to enhance its life span.

To improve the shape of the reentrant combustion chamber of a highpressure commonrail directinjection diesel engine, 3D CFD simulations were performed using the software FIRE to investigate the effect of the combustion chamber geometry on the incylinder flow field characteristics. The microscopic characteristics of the airfuel mixture formation process as well as the effect of the fuel spray on the flow field, airfuel ratio field, and temperature field were studied as the reentrant combustion chamber matched with different fuel injection parameters. The results show that in the improved combustion chamber, it can make full use of the kinetic energy of the fuel spray to increase the intensity and the preserving ability of the air flow, thus enhance the airfuel mixing during the combustion period, promote the diffusion combustion process. Therefore, the reasonable combustion chamber shape matched with the appropriate fuel injection timing and pressure can effectively improve the efficiency and reduce the exhaust emissions of the highpressure commonrail directinjection diesel engine.

Singlefactor adjustment tests for the fuel injection parameter optimization were performed on a CA6DL235E3 heavyduty common rail diesel engine with the basic Euro3 injection maps by means of the INCA calibration tool, and the influences of the fuel injection parameters  on the airfuel mixing and combustion were analyzed comprehensively with the help of the microscopic field histories found by the software STARCD. The results show that boosting the injection pressure(single injection) enhances the airfuel mixing rate, and improves all performance indexes except NOx emission. Introducing the post injection(triple injections), decreasing the time interval between the main and the post injections under the prerequisite of sufficient oxygen in the spray vicinity, and selecting the proper quantity of post injection to reinforce the disturbance of the airfuel mixture at the late phase of fuel injection, can realize the control over the airfuel mixing during the whole combustion process to achieve the engine performance optimization.

A method to extract the knock characteristic of the spark ignition engine was proposed based on the higherorder cumulants. The vibration signals were collected by an accelerometer mounted on the cylinder head of a 4cylinder spark ignition engine. A formula based on the higherorder cumulants was defined to calculate the knock intensity by analysis of the higherorder statistics characteristic of the signal. The proposed method was compared with the methods based on the Fourier transform and the wavelet transform, and it was found that the former needs less data points, and is capable of detecting the occurence of weaker knock. Combining with the sound intensity when the knock occurs, a knock intensity classification method was proposed after analyzing the higherorder statistics characteristic of the vibration signal under different engine operating conditions. Processing of the real vibration signals show the practicality of the proposed method.

The distribution pattern of inuse vehicle greenhouse gas(CO2) emission under idle operation was investigated by techniques of large sample detection, multiple parameter data analysis and mathematical modeling. Using a special computer analysis program VRMTDA, the estimates of CO2 emission distribution parameters and their confidence intervals at 95% confidence level were acquired from the 427 CO2 emission sample data detected from a certain light duty truck under idle operation. An optimal CO2 emission distribution model was established by help of the least square estimation technique and the related coefficient test, the relative errors between the modeled results and the measured ones in the sample were less than 2%. Setting respective CO2 emission cestificate rates for different vehicles, the idle CO2 emission limits were obtained for various vehicles, providing a foundation for cutting down the greenhouse gas emission and promoting the establishment of related evaluating system and the emission standard in China.

The molding behavior of the cornstalk pellet fuel(CSPF) was obtained by its molding tests at different temperatures and pressures. The important information about the combustion properties of the CSPF was provided by the results of the thermogravimetry. These basic studies are of theoretical and practical significance for the engineering design of the combustion equipment of the CSPF, and a gasificationcombustion boiler was developed for the CSPF. The test of the propotype boiler show that it is characterized by high efficiency, energy saving, clean combustion, and little pollution, opening up broad prospects for its application.

Abstract：The heat transfer, the temperature change, the ice melting rate, the rheology of melted slurry water, as well as the effects of the heat load and the ice layer thickness in cold environment were investigated using the controllable carbon fiber to heat a slab to simulate the road pavement and melt the ice on it. The heat melting characteristics of the ice layer were studied through measuring the ice melting rate, the temperature histories of the slab layer and the ice layer. It was found that in the heat melting process of the ice layer, the ice melting rate history undergoes 3 stages:unmelting stage, accelerating melting stage, and decelerating melting stage, they are affected obviously by the heat load. The energy utilization effect in the ice melting process may be improved using variable heating. The ice layer thickness affects significantly the temperature of the roadbed layer:the thicker the ice layer, the lower the roadbed layer temperature. The temperature of the roadbed layer can be increased to guarantee the road pavement temperature by raising the heat load. The flowing of the slurry water brings about the temperature fluctuation of the roadbed layer and the road pavement layer.

In the traditional traffic information acquisition system based on the GPSequipped floating vehicle, the data utilization efficiency as well as the efficiency of development and operation are low due to the dispersed and nonstandardized data store mode of the system. Therefore, taking the enhancement of the data utilization efficiency and the optimization of system development and operation patterns as targets, based on the objectoriented software design idea, the requirement analysis of the system, and the architechture frame design, a data flow diagram of the system was defined, a hierarchical organization method of data was proposed, and a conceptual model and a logical model of the dynamic database of the system were built. The proposed method can integrate and share the system data resource effectively, reduce the coupling degree of all functional modules, enhance the data utilization efficiency, improve the efficiency of development and operation of the traffic information acquisition system based on the GPSequipped floating vehicle.

A bilevel model was proposed for the bus route network optimization. The upperlevel model takes the maximization of the through passenger flow density as the target, optimizes the bus route network based on the passenger flow density as the target, optimizes the bus route network based on the passenger flow distribution over bus stops. Considering the fact that the bus passenger travel behavior changes along with the change of the bus route network, the lowerlevel model assigns the bus passenger flow distribution again in the network optimized by the upperlevel model. The result of the passenger flow assignment(new passenger flow matrix) can also affect the bus route network design. An interative approach including an improved ant colony algorithm and a labelmarking method was used to solve the bilevel model. The model and the related algorithms were tested using the bus traffic data collected in the central area of Dalian city as a case study.

A Mixed Logit model was built for the travel route choice on the supposition that the time parameter is constant and the cost parameter obeys a lognormal distribution.150 simulations were executed using the survey data about the travel intention of the private car driver in Dalian city,Liaoning province. The results show that the values of the ttest of parameters are significant, the goodnessoffit indexes of the model are high and the estimation of parameters are strongly centralized. Taking the average values of the 150 simulations as parameters of the distribution function of the values of the commuting travel time of the private car driver, it was found that the distribution obeys the lognormal distribution with parameters of 2.73 and 1.09, which can be used as a reference for implementing and appraising a road congestion pricing project.

An algorithm based on the learning vector quantization(LVQ) neural network with selforganizing feature maps was developed to detect the urban expressway incidents. A concept of detection based on each lane separately was proposed. The input data screening, the input vector mode, the quantity of neural element, and the detection time interval selection were investigated. The highfrequency noise in the input data was filtered using the db3 wavelet denoising technique.The long vehicle flow volume was introduced into the input vector, and the effect of its introduction was studied comparatively. The implement process of the proposed algorithm and the selection the thresholds were studied using the traditional California algorithm as reference of estimation.

A longitudinal traffic accident data set was constructed based on the collected in 4 years severe crush(involving light injury and more severe) and related traffic data on 87 4legged signalized intersections in Beijing city. The data were fitted with the basic negative binominal model(NBM) and the generalized estimation equation(GEE) based NBM with 3 different working correlation structures. The goodnessoffits of the data samples by the 4 regression models were compared by the cumulative residual tests, and the results show that the GEE NBM with autoregressive correlation structure has the best goodnessoffit. The model was used to estimate the effect of each significant factor on severe crash occurence. The estimations were compared with those by the basic NBM, and the effect of the temporal correlation on the model estimation was revealed.

Based on the traffic accident data collected from the 4 tunnels in Shaoguan section of Beijingzhuhai freeway, taking the accident severity as dependent variable, selecting 9 candidate independent variables from 3 aspects: the time of the accident happened, the tunnel environment, and the traffic dynamic factors, the relevance between the candidate independent variables and the dependent variable was analyzed by the reverse selection method. It was found that the time of the accident happened, the collision type, the weather condition, and the ratio of daily PCU to AADT are the factors that most significantly related to the accident severity. The effects of these most related factors on the accident severity was analyzed using a logistic regression model. A statistical interpretation was given to the modeled estimates in terms of the odds ratio concept. The proposed logistic regression model was tested on the goodnessoffit and predictive accuracy and the encouraging result was achieved.

According to the traffic accident occurence probability, the risk status of the driving behavior was classified, the main factor of the risk  status idendification was extracted using the single factor variance analysis, a driving behavior risk status identification model was built based on the FCM to identify effectively the risky driving behavior. The model was used on trial with examples and tested by sample resubstitution.The result indicats that the relative error of the model is 2.5%.

To sutdy the enhancing effect of blending fiber to the fly ash soil, the polypropylene fiber was chosen as the reinforcement additive to the fly ash soil to improve its brittle failure resistance. The filer was randomly blended into the fly ash soil at 5 different mass fractions(0.5%,1%,2%,3%,4%) to prepare 6 groups of samples including the baseline pure fly ash soil sample. These samples were subjected to the side unconfined compression test. The test results show that blending the fiber leads to enhancement of the toughness and the unconfined compression strength of the fly ash soil samples. The mechanical properties of the fiber reinforced fly ash soil appear the best at fiber mass fraction of 1%.

Virtual fatigue tests of the small beam specimen from asphalt mixture(AM) were performed using the discrete element method(DEM) to investigate the fatigue mechanism of AM microscopically. A gradation derivation formula was established by the probability theory to convert the volumetric aggregate gradation into the twodimensional(2D) digital speciment quantity gradation. Taking the irregular form of the aggregate into account, a generation program of the virtual structure of the 2D digital specimen was compiled based on MonteCarlo method and the specimens were generated. A whole package of virtual fatigue test methods of AM, including the establishment of DEM model of AM, the selection of the contact modes of the discrete elements, and the criteria judging the fatigue failure, was established based on DEM. The fatigue tests of the small beam from AM were performed, and their results were compared with those of its virtual fatigue tests based on DEM. Their good agreement implicated that the proposed virtual 2D beam fatigue test based on DEM can predict well the fatigue life of AM. The virtual beam fatigue test can be used as an auxiliary means to evaluate the fatigue performance of AM.

38 prestressed concrete slabs and beams after the elevated temperature experience were smashed and 481 tensile test specimens from the prestressing steel wire and 489 from nonprestressed steel bar were prepared to investigate the mechanical properties of these materials after the elevated temperature experience. The specimens were tested on mechanical properties, and the change behaviors of their related strength, elastic modulus, and specific elongation at rupture, as well as their stressstrain curves were obtained. The results can be used to analyze the fire resistance of the prestressed structures. The test results show that the strength of the prestressing steel wire after the elevated temperature experience is a little lower than that of wire without this experience, but for the nonprestressed steel bar, the elevated temperature experience has hardly effect on its strength.

NaYF4: Er3+, Yb3+ upconversion nano luminescence powder was prepared using Lowtemperature Combustion Synthesis (LCS)method. The optimum technological parameters of the synthesis were determined as: urea amount of 200%stio, agglomeration temperature of 600 ℃ and reaction time of 8 min. XRD and TEM analysis shows that the crystal grain diameters of NaYF4: Er3+, Yb3+ powders are in 30 nm to 35 nm with hexagonal crystal structure. NaYF4: Er3+, Yb3+ has upconversion luminescence effect on wavelength near 900 nm, and there are five peaks in the upconversion emission spectrum, which appear at 380 nm, 408 nm, 522 nm, 540 nm and 658 nm respectively. The relation between luminescent intensity and pump power indicates that 380 nm and 408 nm emissive purple light belongs to threephoton process; and 522 nm, 540 nm and 658 nm emissions belong to twophoton process.

The laboratory synthesized thermotropic liquid crystalline polyamide (TLCP) was solutionblended with polyamide 6 (PA6) with different contents. The effects of content of TLCP on the compatibility was investigated by Ubbelohde Viscometer, DSC, FTIR and SEM. Thermal analyses demonstrate that the addition of TLCP decreases the melting temperature of PA6, exhibiting the compatibility. FTIR clearly identified a specific intermolecular interaction between PA6 and TLCP due to the similarity in their structures. Particles coprecipitated from the solutions were manifested by SEM that as TLCP content is above 5% the interface becomes ambiguous. When TLCP content is up to 40%, the morphology is homogenous without obvious phase separation due to strong molecular interactions. Characterizations on blends support the idea that the incorporation of hydrogen bond interaction could induce the compatibility of the blends, of which components are in procession of the same amide group in the molecular structure.

The CF+G/PEEK composite material was prepared by molding press. The mechanical performance of the material was evaluated by measuring the tensile strength and impact toughness. The effect of molding press parameters on the mechanical properties of CF+G/PEEK composite material was discussed and analyzed. By experiments the better molding press parameters were obtained as follows: heating temperature of 390 ℃, heat holding time of 20 min, pressure holding temperature of 320 ℃, holding pressure of 43 MPa and pressure holding time of 15 min.

The effects of plasma spray parameters, Hydrogen Flow Rate (HFR) and electric current (I), on the microstructure and erosion resistance of Ni60 coatings were investigated using SEM, XRD, LSCM and erosion wear test machine. Results show that the Ni60 coating is mainly composed of γNi, Ni3B, Cr2B, CrB, M7C3 and M23C6 phases. As HFR and I increase, the lamellar thickness of the coating decreases, while the crystallinity, average grain size, microstrain, residual stress, microhardness and erosion resistance increase. Excessive HFR and I result in the increase in coating porosity and decreases in microhardness and erosion resistance. The Ni60 coating deposited at HFR = 12.5 ft3/h and I = 500 A possesses higher erosion resistance, especially under the condition of small angle erosion.

LY2 aluminum alloy samples were processed by pulse laser shock to fabricate a film of 1.7 mm depth on the sample surface. The residual stresses in the directions parallel and perpendicular to the sample surface were measured using Xray stress tester, and the microtopography of the crosssection of the film was studied. Results show that the spot overlapping rate plays an important role in the distribution of surface residual stress. The maximum compressive residual stress is located in the surface or the nearsurface, and compressive residual stress in the depth direction and its change rate are inversely proportional to the depth to the surface. The residual stress increases with the number of laser shocks, but the depth of the surface film changes a little with the number of laser shocks.

A kind of microtype precision loading device for insitu nanoindentation test was proposed. Assisting with the main requirement to nanoindentation test, the mechanism of precision loading device was designed and analyzed, and the scheme to realize nanoindentation test of diamond indenter under the help of hybrid process of piezoelectric stack and flexure hinges was established. The force signal of nanoindentation was measured via flexure hinge based on Hooke's law. The mechanical analysis and modal study of indentation flexure hinges unit were carried out. Based on those works, the indentation performance, loading force measurement and so on of developed testing platform were tested. The indentation test of single crystal silicon wafer was carried out with the developed prototype. The effective stroke of diamond indenter was 11.96 μm with actuating voltage of 100 V. The platform meets the basic functional requirements of indentation test.

A comprehensive evaluation system on work environment including the factors as the noise, the temperature and humidity, and the illumination, was established using the fuzzy mathematics method. Based on the grading evaluation of each factor, considering the effects of the environmental objective measurement and subjective understanding on the work enviroument evaluation, a comprehensive evaluation on the work environment of a certain gearbox plant was carried out using the fuzzy mathematics method. The obtained results appeared in good agreement with the reality, can guide the work environment improvement.

Finite element software ANSYS was used to model and analyze the transmission mechanism of automatic solar tracking system. The analyses include modal analysis of the mechanism, starting and stopping vibration analysis, force 10 wind static loading analysis and the spectrum analysis of 7 intensity nearsource earthquake. Details of simulation analysis of the mechanism and solution are given. Results of simulation analysis show that the frequency of starting and stopping vibration is smaller than the natural frequency of the mechanism, so resonance does not occur. Stiffness and strength calculations prove that, under force 10 wind and 7 intensity nearsource earthquake, the mechanism meets the design requirements. The destruction of force 10 wind on the mechanism is stronger than that of 7 intensity nearsource earthquake.

A camera with UBS interface and CMOS chip and Video for Window (VFW) technology were used to develop a computer vision system to obtain the image of beef ribeye section for acquiring grading information. The measuring and analysis methods of the grading features were introduced. The features, such as ribeye area, backfat thickness, marble distribution, muscle and fat colors were extracted by computer image analysis. Four parameters that represent the grading of beef marbling were determined. The accuracy (mean±standard deviation) of backfat thickness was (92.72±4.75) %, and that of ribeye area was (94.84±2.52) %. Assessment of grading of beef marbling was performed with backpropagation neural network, and the mean accuracy was 94.74, which meet the practical accurate requirement of computer vision system.

The pressure characteristic curves of chicken were measured using a microtensile testing machine. The relationship between meat elasticity and meat freshness, as well as the relationship between the parameters in the pressure characteristic curve and the meat flexibility and freshness were analyzed. Results indicate that, several mechanical parameters in the meat pressure characteristic curve can reflect its freshness. This method changes the qualitative meat elastic test to quantitative test. It provides a technical reference for widespread application of biological tactile detecting technology for meat freshness evaluation.

We propose a new access model for the endpoints that do not meet the requirements in Trusted Network Connection (TNC) specifications. This is done by setting a trusted thirdparty certificate authority for the TNC specifications. We explain the working flow and communication mechanism in detail. Simulations demonstrate the feasibility of the proposed model used in the scenario in which this kind of endpoints pass the TNC network access authentication.

A robust H∞ fault detection filter based on state estimate approach is proposed for uncertain network control systems with network induced delay and normbounded unknown input. Based on Lyapunov theory and Linear Matrix Inequality (LMI) technology, a H∞ criterion for system to be asymptotically stable is obtained. Then a robust H∞ fault detection filter is derived directly from the criterion. The fault detection filter guarantees not only the quadratic stability of the closedloop systems but also the H∞ norm bound to be within a predefined level. A numerical case study demonstrates the feasibility of the proposed approach.

Two results about the behaviour of a group of agents in multiagent systems using cyclic pursuit are provided. Linear cyclic pursuit law and nonlinear pursuit law are discussed respectively. Under stable linear pursuit law, if the arrangement of the initial positions of all agents is in a specified formation, then each agent will converge to an equilibrium point following a certain track and all agents will remain the same formation. Under stable nonlinear pursuit law, all the agents will remain a specified property when they reach the equilibrium state. Simulation experiments verify the results.

Using a hydraulically driven sixFOD motion simulator to simulate the vibration environment, there exist amplitude attenuation and phase lag due to the characteristics of closed loop amplitude and frequency responses of the simulator. Therefore, it is difficult to achieve accurate track and recurrence of high frequency random signals. To solve this problem, a vibration control strategy is proposed, which combines the joint space based and the operation space based control modes together. This strategy adopts the 3state control technology based on the classic PID together with the feedforward of the single cylinder control method. It can extend the frequency bandwidth of the system and achieve the accurate recurrence under the precondition of system stability. Experiment results show that the control strategy can make the sixDOF motion simulator to track the random signals of the range of 0.5 to 25 Hz and can control the recurrence error accuracy of random signals within ±3 dB. This strategy satisfies the performance index of the accurate recurrence.

To develop highly integrated 5finger dexterous robot hand, a design scheme of modularized and embedded finger control system is proposed that uses Digital Signal Processor (DSP) and Field Programmable Gate Array (FPGA) control structure. A single current sensor is used to detect phase current on fullbridge modulation and detect overcurrent protection of phase current. To obtain stable and efficient communication between finger DSP and FPGA, using First in First out (FIFO) registers a multiinterrupt differential communication system is designed, which is based on Serial Communications Interface (SCI) and RS485 bus. Experiment results show that the finger controller can be highly integrated by the DSP+FPGA control structure and modularized design, and the whole working performance of the DLR/HIT II dexterous hand is excellent and reliable.

To overcome low frequency oscillation in power system, a novel strategy based on minimum entropy H∞ control theory is proposed for the design of Power System Stabilizer (PSS). The reducedorder method is applied to the original system and controller to obtain a reducedorder PSS. A hybrid algorithm, which combines Bacterial Foraging Optimization (BFO) and Particle Swarm Optimization (PSO), is applied for the selection of weighing function to transform different design objectives into inequality constraints; thus, the selection of weighing function become a multiobjective optimization problem. The participation factors are used to determine the location of PSS for fourgenerator and twoarea power system. Then the minimum entropy H∞ PSS is designed to improve the damping oscillations in power system. Simulations are carried out under various operation conditions. Results show that the entropy H∞ PSS can not only damp the interarea low frequency oscillation but also improve the system damping.

A video stabilization algorithm was proposed based on the feature block matching after analyzing the image stabilization mechanism and characteristic of human eyes. Uniform distribution mode was used to define the feature block. The motion vector was predicted according to the video jitter characteristic to decide the start point of searching. With the searching templates of both Large Diamond and Small Diamond, the feature blocks were matched under the restraints of threshold value and searching space. The effective motion vectors were chosen to achieve the motion smoothing. The original image was matched by the affine transformation matrix to obtain the stablized video sequence. The experiment results show that the proposed algorithm stablizes effectively the image sequence with required rapidity and realtime character.

An autoadapted threshold algorithm for image processing is proposed, which is based on Field Programmable Gate Array (FPGA). Using this algorithm can realize highspeed realtime detection for laser spot center.3×3 window module and autoadapted threshold module are adopted in this study. First the CCD input data are processed, and the spot scope is estimated. Then the spot centroid algorithm is used to process the pixels, which are occupied by the spot, and the miss distance of the spot position is obtained. Finally, the image is displayed on the LCD using VGA format. This algorithm can reach miss distance frame rate of 3000 F/s and accuracy of 2 μrad. By this proposed method we can realize highspeed and high accurate tracking.

Single variability can not fully reflect the function of cardiovascular system. To overcome this problem, a new variability index, Associated Variability (AV) is proposed. This index is obtained from the weighted summation of Heart Rate Variability (HRV), Pulse Transit Time Variability (PTTV) and Electromechanical Delay Variability (EMDV), which are calculated by the sample entropy algorithm and the weights are determined by the method of analytic hierarchy process. Then, Group Distinction Measure (GDM) is defined. Experiments on heart disease group (25 subjects) and healthy group (35 subjects) show that the GDM values of HRV, PTTV and EMDV are all larger than 1, while that of AV is less than 1, which indicates that AV can fully distinguish the heart disease group from the healthy group. Results show that AV can reflect the function of cardiovascular system more completely than any single index, such as HRV, PTTV or EMDV.

To overcome the nonrobustness of status detection using single feature, a multifusion based method is proposed to monitor the working status of instruments. Constraint equations are derived to improve the original circle detection algorithm, which based on right triangles inscribed in a circle. The fuzzy confidence of each feature is taken as model input, a Series and Parallel Combined Structure Model (SPCSM) is proposed. The SPCSM decides the state of working indicator of an instrument according to the comprehensive confidence obtained from the global fusion center. Experiments on electron probe (NO.EMXSM7) show that the proposed algorithm can execute online monitoring task accurately and reliably in a varying environment.

This paper proposes a method of initial alignment of shipborne Strapdown Inertial Navigation System (SINS) based Adaptive Network based Fuzzy Inference Systems (ANFIS). It provides position, velocity and heading angle corrections for Inertial Navigation System (INS) and improves the accuracy and robustness of the whole system. To achieve this objective, first, wavelet is used to denoise the output of the sensors; then the position, velocity and heading angle of INS are taken as the input of ANFIS; after training the corresponding corrections are output. The expected outputs of trained samples are the results of wave multiresolution analysis. Test results show that using ANFIS the error of horizontal alignment is within 1′ and that of azimuth alignment is within 2′, which are superior to the results of Kalman and RBF under the same conditions. The proposed method can provide reliable and effective alignment for shipborne SINS.

A fast and efficient algorithm is proposed for multimodel adaptive estimation in the terminal interception of randomly maneuvering target scenario. The traditional multimodel adaptive estimation is simplified by means of aggregation and pruning, based on the exploitation of the special structure of the hypothesis space corresponding to a bank of elemental filters. To efficiently handle the nonlinearity, unscented Kalman filter is introduced into the design of elemental filter that is hypothesis dependent. Numerically robust implementation of the algorithm is presented to meet the need of practical application. Simulation results demonstrate the feasibility of the proposed algorithm.

Based on the IEEE 802.11 protocol, the performance of IRUWB system with multiuser is analyzed. Then using WinScholtz physical model an improvement on Medium Access Control (MAC) protocol to maximize the flow rate in UWB wireless network is made. When the acting nodes are few, a simplified algorithm is proposed for MAC without the exclusion region. This algorithm can effectively reduce the amount of calculation and complexity of the protocol and thus suitable for its on time implementation. Simulation results demonstrate that, with few acting nodes and low signalnoise ratio, the simplified algorithm for MAC without the exclusion region can attain almost the same performance as the algorithm for MAC protocol with optimal exclusion region can, which validate the effectiveness and advantages of the proposed algorithm.

H.264/AVC uses multiple reference frame motion estimation to enhance coding efficiency. But the computational cost linearly increases with the number of reference frames. In this paper, the candidate reference frames are determined based on edge detection and correlation information. The motion characteristics of the macroblock are judged by motion vector field with P8×8 mode. A fast multiple reference frame selection algorithm is proposed. Experiments on JM10.2 are performed and results show that the proposed algorithm significantly saves encoding time with neglectable loss of image quality.

By introducing an adaptive frame structure design to the Time Division Multiple Access (TDMA) based multihop regenerative relay links the transmitting time for each hop can be adjusted. A resource allocation algorithm is proposed for the multihop regenerative relay links with this adaptive frame structure. The objective is to minimize the total transmission power under the constraint that the user's QoS requirement is satisfied. Simulation results show that, compared to the resource allocation algorithm with fixed frame structure, the proposed algorithm can reduce both the total transmission power and the unsatisfying probability of the user.

A Wireless Personal Area Network (WPAN) model is proposed, and the factors that affect the WPAN throughput are analyzed. The relations among the WPAN throughput, the hamming correlation of Bluetooth Frequency Hopping (FH) sequence and the number of Bluetooth piconets are derived. The algorithm of Bluetooth FH sequence selection is replaced by Advanced Encryption Standard (AES) algorithm to improve the throughput of WPAN. Simulation and testing results with SOC platform and CSR′s Bluecore4 Bluetooth module validate the theoretical analysis and the derived relations. It is demonstrated that the AES algorithm can improve the throughput of WPAN.

The current micropayment protocols are analyzed and it is found that there exist security problems. A new mobile micropayment protocol based on chaotic dual Hash chains is proposed. This protocol is mainly developed for the demand of lower value network information service charge. It utilizes the one way character of the interaction process of Hénonlike chaotic system to construct two Payword chains. One Payword chain is used to charge merchants and the other Payword chain is used to charge users. The protocol possesses the character of anonymity that the information ordered by users is of confidentiality and it provides partial fairness character. Analysis demonstrates that the protocol has higher security and faster operation efficiency, and it is suitable for the micropayment transactions with very small trade amount and only partial fairness requirement.

To effectively monitor the quality of new services, a concept of service operating quality is proposed. The principle and method to collect the indicators of service operating quality are analyzed. An indicator hierarchy of service operating quality is given, which is based on Key Performance Indicator (KPI)/Key Quality Indicator (KQI) concepts of TeleManagement Forum (TMF). A general serviceindependent realtime quantitative evaluation model is developed, which has good extensibility. The key algorithm for the model based on multifactor weight policy is also given, which has polynomial time complexity. Theoretical analysis and case study show that the proposed model and algorithm can monitor the service network more effectively and efficiently.

The running efficiency of Divisional Influent Anaerobic Baffled Reactor (DIABR) with three or four influent spots is investigated respectively in comparison with that of traditional Single Influent Anaerobic Baffled Reactor (SIABR) of four compartments. Results show that, by adjusting the influent mode of ABR corresponding to the character of raw wastewater, the composition of microorganism inside the ABR can be changed, and the total microorganism activity and running efficiency of the ABR can be improved.