Recent Advances in Computer Science and Information Engineering

This paper develop a method to get Seamless and distortlessness film on full spherical screen involves spherical panorama photography and final treatment and display.

Ray tracing has been widely employed to compute the global illumination in computer graphics. Due to numerous ray-primitive intersection testing operations, ray tracing is very time-consuming. In this paper, we proposed a variance shadow map based algorithm to perform the shadow testing in ray tracing. This algorithm does not need to carry out the inefficient intersection testing operations between a shadow ray and geometric primitives. It computes the visibility between a point and a light source by querying the variance shadow map and hence can greatly enhance the speed of the shadow testing. The details of implementing our algorithm in the framework of ray tracing were presented. The performance comparison between our algorithm and the original shadow testing in ray tracing was also drawn theoretically. Our algorithm provides a new alternative to accelerate ray tracing.

A human walking animation synthesis method is proposed to learn motion discipline from motion capture data and produce new walking animations by using Bayesian Networks. Raw motion capture data is segmented to walking units, and then footprint parameters and keyframes are extracted to train Bayesian Networks. The trained Bayesian Networks can infer appropriate keyframes according to given footprint sequence. The presented method combines the non-deterministic inference ability of Bayesian Networks and control of footprint parameters for end effector. Experiments demonstrate that motions synthesized by our method strictly satisfy space-time constraints and perform naturally.

This paper describes a new robust optimum beamforming approach to expanded acoustic vector sensor array with manifold vectors perturbation. In this approach, an optimization criteria for vector array is presented and the corresponding convex second-order cone programming implementations are used. A new combined beamforming method for acoustic vector sensor array is put forward. The results indicated that the width of main beam is stable and the sidelobe is lower than -40dB in the array position error. It can provide good robustness against manifold vectors uncertainty. We believe this design approach provide a new thought for the latest aviation sonar.

Existing Picture Archiving and Communication System (PACS) only stores picture from independent ultrasound diagnosis system, which results in high instrument costs and waste of resources, regardless of general hospitals or small township hospitals. We propose a solution to simplify this construction by using server module attached to existing systems that are used in the hospitals. The proposal is based on the concepts of Network on Chip (NoC), so that the data stream sharing and high-end processing is available in the server. Furthermore, existing medical equipments can be rebuilt to be more efficient and cost effective as medical terminal units.

A single voxel proton point-resolved spectroscopy (PRESS)-localized double quantum filter was introduced at 1.5T clinical scanner for the detection of Brain

γ

-Aminobutyric Acid (GABA). This method selectively prepares GABA into a double quantum coherence state and suppresses all other resonances at 3.01ppm in each single scan. In phantom experiments, the optimal echo time, the editing efficiency and the degree of suppression of uncoupled resonances were examined after numerical analysis of the editing performance. Excellent GABA signal retention at 3.01ppm was achieved and the spectral editing efficiency was approximately 40%. The suppressed Cr ratio and suppressed NAA ratio were 1118:1 at 3.0ppm and 1815:1 at 2.02ppm respectively.

A tree model with latent semantic analysis (LSA-Tree) is presented for semantic processing of the medical image annotations. By introducing the semantic tree structure can be calculated in the semantic extraction process between words in the level of association; the introduction of latent semantic analysis to solve the "Synonymy" problem in the "multi-physicians samples" and to simplify the semantic computation of the tree model. Experiment through the programming of the proposed model of latent semantic analysis tree to process the annotations of medical image. And comparison with the keyword model and full text LSA in the running time and further with the Bag-of-Words model in the image information matching.

The study examined the event-related potentials (ERPs) to language comprehension in non-contextual condition (single words) and contextual condition (simple SVO sentence) in both first language (L1) and second language (L2), while subjects performing a comprehension-recall task. Our results showed that, in both contextual and non-contextual conditions, the differences of ERPs in L1 and L2 were mainly found in N400 and LPC components. However, the ERP differences in L1 and L2 were dependent on the contextual/non-contextual conditions. To be specific, in non-contextual condition, ERPs of L1 and L2 were only found different in N400 components, with magnitude of ERPs in L1 significantly larger than that in L2. We argue that the difference is quantitative, and it suggests L1 and L2 share the same semantic system. In contrast to the quantitative differences found in non-contextual condition, qualitative ERP differences were found between L1 and L2 in contextual condition. In addition to the difference in N400 component similar to that found in non-contextual condition, ERPs of L1 in contextual condition demonstrated a significant LPC, a component thought to reflect automatic processing. The LPC was almost absent in L2 in contextual condition. On the other hand, ERP differences between contextual and non-contextual conditions were found in both L1 and L2, with relatively more difference between two conditions in L1. And to an extent, results can not be generalized from single words to language.

This paper designed a cochlear implant speech signal processing platform, using S3C2440A chip based on ARM920T. The system implemented speech data collection, speech signal processing, the liquid crystal displaying and controlling modules. It achieved some processing functions as pre-processing, pre-emphasis, sub-band extraction, envelope extraction and compression. The hardware and software debugging result showed that: the speech processing platform based on ARM9 can adopt the CIS algorithm to achieve cochlear implant speech signal collection and processing in real time accurately. This speech signal processing platform provided an embedded hardware platform for the research of Cochlear Implant, which has highly practical value with spreading meaning.

An athlete physiological signal collection and wireless system are designed and described in the paper, by which real-time and accurate collection and transmission of the signals can be achieved successfully. The collection methods of several physiological signals are studied covering ECG, EMG and pulse signal etc. in the paper. As a result, a hardware circuit is designed for collecting ECG, EMG and pulse signal based a selected sensor suiting to measure quick moving human body. nRF905 selected in the study achieves the function of wireless transmission and a well designed software is also in place.

It is used the wavelet transform based on the orthogonal signal analysis to analyze the non-stationary snores signal in this paper. The snoring is an important characteris of upper airway obstruction and a typical inspiratory sound appearing during sleep. The basic theory of the wavelet tranform is described and the effective hardware architecture for collecting the snore signal is proposed. The resulting experimental shows that the characteris of different frequencies of signal and offers value for analyzing the temporal feature of snoring sound in health medical treatment.

Visualization of special patterns in biological sequences can assist revealing important roles in gene regulation and other basic molecular activities of the sequence. The visualization method needs to highlight interesting sequence patterns while suppressing trivial aspects. A biology sequences visualization scheme based on cellular automata is developed in this study. Features such as alleles of a DNA sequence were extracted and mapped into a grid in a two-dimensional plane, creating an initial pattern. Then, two-dimensional cellular automata were iteratively executed according to predefined rules and turned the initial pattern into a two-dimensional pattern, forming the fingerprint of the sequence. This fingerprint can be served as a representation of the sequence and can be used to make sequences comparing.

The drilling strain observation technique has played a very important role in geodynamics and earthquake prediction, and has been widely used. The first RZB-3 type deep-well strain apparatus was installed at BaiShan station of ChangPing in 2008 by Earthquake Administration of Beijing Municipality. We have achieved a number of observational data of earth tide from the station without influence and interference from ground. The apparatus could record clear and stable earth tide and strain wave with coseism. These data are of good quality and significance. Through the earth tide model of Nakai, we calculated and gained earth tide proportion factors in the directions of deep-well, and verified that the tide response compared to the theoretical model in BaiShan station has a very large dispersion and a regular azimuthal anisotropy from the view of deep-well strain observation. The deep-well earth tide observation with high precision and tidal response anisotropy phenomenon are expected to be applied in the dynamics, earthquake prediction and Geological study, to provide a reference to improve the tide displacements by space geodetic observational data.

Recognizing emotions in the elderly and disabled people is an essential part in knowing whether they need help. In this paper, a study is presented for audio visual emotion recognition based on Hidden Markov Model (HMM). In the realm of audio visual emotion recognition, feature extraction of audio visual emotion and HMM training are very important issues. Emotion features of speech and facial image sequences are extracted andthe HTK toolkit is adopted to train the hidden Markov models for audio, visual and audio visualmulti-stream emotion recognition. In general, the recognition rates of audio-visual multi-stream HMMs are slightly higher than the audio only HMM and visual only HMM, and the recognition rates of negative emotions areslightly than positive emotions.

The video images photographed in laboratory tests were used to investigate the fissure changes in granite. Frames were extracted out and investigated using the digital image processing. The intro-frame average technique was utilized to overcome the effects of sample trembles on the image processing. The locations of the micro compositions, especially those of new-generated fissures, were examined using fractional differential. The effects of the surrounding factors on the image properties were also examined. A criterion of image characteristic parameters for generating new fissures was furthermore proposed. The method proposed herein may be used as references in analyzing the physical mechanism of deformations and failures of rock materials or rock masses in rock regions.

In this paper, CCD array displacement and rotation model, focal length displacement model and optical distortion model were analyzed for line-array CCD sensor of high resolution satellites. An integrated interior self-calibration model was then proposed. Applying piecewise polynomial interpolation model, contents of exterior parameters to be calibrated were analyzed. Based on collinearity equation, a self-calibration bundle block adjustment model was constructed and relative solution method was given. Through SPOT5 simulation datasets, block adjustment experiments were done and the experimental results verified the feasibility of the solution model.

The computer simulation can conveniently model the real scenes at little expense. In this paper, in order to realize the synthesis of the object and background images, their image data is firstly obtained through computer simulation. In order to view the background and objects at different angles, the coordinate system is reset according to the principle of perspective transformation. Then, according to the characteristic values of image data, the visualization of the scene is made, and the scene is rendered with a programming language combining with the 3D graphics and model libraries provided by OpenGL. In addition, a unity of the color patches of the object image and background image is made to display the scene in reality. It is shown that this method has a good reference value regarding the image synthesis simulation.

EBPSK modulation with very high frequency efficiency is becoming a hot research topic in communication field. This paper proposes a method to study EBPSK time-domain component of linear power spectrum and its structure. By means of spectral analysis on periodic signal, Fourier expansion and relevant discussion, time-domain component of linear spectrum is obtained. Furthermore, a conclusion that both time-domain and frequency-domain component can be added is inferred. The modulating simulation testifies these results. It will be used as fundamental theory in further research of both EBPSK and other UNB modulations.

Multimedia streaming a form of security through encryption, based on the format and parameters of different, there are many different forms. This paper presents a layered security fast encryption/decryption algorithm. Digital content confused by this proposed index and this research the operation of the stream-cipher encryption algorithms. The confusion index block is encrypted by the existing protection. The encryption and decryption can improve 8 to 10 times the performance and reduce the need to decrypt the user to pay for the waiting time to 1/12. This technique is applicable to the terminal device with low computing power to run. System security is equivalent to the existing encryption methods. There exist about 20kbits additional cost to the confusion for the index block encryption and transmissions.

This paper concerns with the problem of adaptive robust control of nonlinear systems with time-delay uncertainty. The upper bound of the time-delay uncertainty is assumed to be high-order polynomials and unknown parameters are considered. By using adaptive controlmethod, we propose a class of adaptive robust state feedback controller. Based on Lyapunov-Krasovskii method and Lyapunov stability theory, it is shown that the controller designed can render the uniform asymptotic stability of the system. Finally, a numerical example is given to show the controller is feasible.

To realize the auto-tuning of the learning factors of iterative learning algorithm (ILA), a novel ILA with variable learning factors is proposed by applying extremum seeking algorithm (ESA). Due to the optimization function of ESA, the proposed method guarantees that the controller parameters of missiles converge to their optimal values and the outputs of the controlled system quickly and exactly track their expected values. Simulation results validate the effectiveness of the proposed method.

In this paper, an adaptive sliding mode controller is proposed to control the Chen system with unknown parameters, uncertain terms and external bounded disturbances. Using this controller, we observe projective synchronization between the Chen system and the Liu system.Moreover, it is proven that this control method can really make the two systems globally asymptotically synchronized based on Lyapunov stability theory. Finally, numerical simulations are presented to show the effectiveness of the proposed adaptive sliding mode controller.

PID controller is widely used in industrial practice, but its weaknesses limit its performance in some controller performances such as disturbance rejection or set-point tracking. In this paper, we propose a maximum noise entropy controller (MENC) based on the principle of maximum entropy. The basic model is based on noise entropy which is performance target. Maximum noise entropy controller could reduce the disturbance effect and increase the system’s stability. The simulation result shows that the controller is better than IMC-PID controller in the performance of disturbance rejection.

An optimal control method for nonlinear systems based on the framework of hybrid model is proposed to improve the whole performance of the systems. Firstly, a number of linear models which are produced by nonlinear model at specified operating points are synthesized under the framework of hybrid model. Secondly, the method of collocation on finite elements is used to lower the dimension and the optimal control problem is transformed to MIQP problem over the whole space. The model mismatch produced by discretization is avoided by using the strategy of receding-horizon optimization. Simulation results show that a satisfactory performance can be obtained by using the presented approach.

This system combines modern power-line-communication network to Physiological parameter monitoring technology, which accords with the trend that the network is becoming the new development direction of Measurement Technology and Instrument. The system can monitor the patients continuancely for 24 hours. Just take the very small device of data collection and wireless transmission subsystem, the Patients can move freely in a certain area. While the abnormal incidences happen, the system can immediately give an alarm automatically, in order to save the valued time for patients’ first aid.

In this paper a founding method and implement of the system for personal and real-time monitoring is described, including the operation of the whole system. The tests demonstrate that the system is stable, reliable as well as high timely and accuracy.

The matte grade model of copper flash smelting process, which has the net-structure of 8 put-in, 1 put-out nodes and the membership functions are 5, 3, 5, was developed based on Adaptive Network-Fuzzy Inference System and by using the practical data from one copper smelter. The results indicated that the average absolute error of training samples is 0.087%, the relative error percentage is 0.15%, and the average absolute error of checking samples is 0.0079%, and the relative error percentage is 0.014%. It means that the simulative results accord to the practical data, and the model has good reference value on process optimized control of copper flash smelting. It also can be used to the industrial online control replacing the static burden model.

The qualitative and quantitative fault mode described with core parameter is obtained by applying automatic Hazard and Operability Analysis (HAZOP) based on Signed Directed Graph (SDG) to the results of artificial HAZOP. And it proposed fault model to key parameters, combined with various fault diagnosis methods, research and development of qualitative and quantitative reasoning engine management for use in abnormal conditions. On this basis, it developed a software prototype of abnormal situation management system for petrochemical process. At last, the software is used in an actual process used to verify the validity of the technology.

The paper proposes a method based on BP neural network to extract sensitivity information for the complex system with interrelated inputs. This method requires firstly establishing BP neural network models for each input to the others and system inputs to output, then sensitivity information is extracted from these BP network models. A procedure to obtain BP network models of the system with interrelated inputs is proposed; the question of whether for a certain sub-model to exist is explored; and a concrete approach to calculate sensitivity is presented. Simulation result demonstrates the validity of the proposed method of extracting sensitivity information.

The problem of robust

H

 ∞ 

control for a class of uncertain nonlinear switched systems is addressed through hybrid state feedback control strategy, based on multiple Lyapunov function techniquefor all admissible uncertainties. The state feedback control for each each subsystem and switching Laws to guarantee both asymptotically stability of the resulting closed-loop systems and prescribed

L

2

gain from disturbance input to controller output are designed. The necessary and sufficient conditions of robust

H

 ∞ 

control for the problem to be solvable is also derived in terms of partial differential inequalities are given. An illustrate example is given to show the effectiveness of the method.

A uniform-coefficient chaotic jerk model based on a nonlinearity of Tanh(Bx) is presented. Either a uniform coefficient A or a parameter B can be a control parameter for bifurcations in negative or positive directions, respectively. The bifurcation in the positive direction can be demonstrated when A is a certain constant and B is an increasing control parameter. By contrast, the opposite bifurcation in the negative direction can be demonstrated when B is a certain constant and A is a decreasing control parameter. Basic dynamical properties are also illustrated.

Environmental temperature measurement and control in coal mine movable refuge chamber is a very important issue of environmental control system in refuge chamber. This paper proposes a method to reconstruct the system’s mathematical model by using extended Kalman filter, and adopts Robust adaptive control method to study the control algorithm of environment in the refuge chamber. Based on the theory analyses, hardware platform of the system has been constructed by using Advanced RISC Machines (ARM) single chip microcomputer as control device, and the software of the system has been compiled. Experiment on simulating model and practical testing results have proved that the designed system of this paper can control the temperature in refuge chamber effectively. And the system has strong robustness and good response speed.

This paper deals with the synchronization of chaotic delayed neural networks via sampled-data feedback control with multiple stochastic sampling periods, whose occurrence probabilities are given constants. For the simplicity of technical development, the case with two stochastic sampling periods is considered. By means of the input-delay approach to sampled-data systems, the synchronization error system is represented as a stochastic continuous time system with multiple delays. A mean-square asymptotic stability condition for the synchronization error system is derived via a discretised Lyapunov-Krasovskii function method. The sampled-data feedback controller design is formulated via linear matrix inequalities based convex optimization problems, which can be efficiently solved via standard numerical software. A numerical example illustrates the efficiency of the proposed method.

Observability problem for non-autonomous systems is considered. We deduce high-order observability conditions using the techniques developed in [8] and [9] for stabilization problem, and show that the stabilizer constructed there also works if the observer position is used instead of the actual position of the system.

Based on predictive control theory, a fast extraction algorithm is presented, which can efficiently estimate the motion of the high-speed maneuverable target. The calculation of the algorithm is simple, because the operations are all scalar ones. Calculation of the error covariance matrix and the optimal gain matrix is omitted. Thus the algorithm has no requirement of the symmetry and positive definite property of the error covariance matrix and optimal gain matrix. Simulation results show that the predictive filter is significantly better than Extended Kalman filter when the noise is aloud and colored. The effect of intercepting the maneuverable target will be improved if the motion estimated by predictive filter is introduced into the variable structure guidance law. Simulation results show that the guidance law which introduces the compensation information has strong robustness to the noise of the seeker and the maneuverability of the target.

For the multisensor linear discrete time-invariant systems with unknown constant input and unknown noise statistics, the on-line estimators of unknown input and filtering gain are obtained based on CARMA innovation model. For the multisensor stochastic control systems with known input and noise statistics, the optimal information fusion steady-state Kalman filter are presented based on Fadeeva formula. Furthermore, a self-tuning information fusion Kalman filter with input estimation is presented. Based on the dynamic error system analysis method, its asymptotic optimality is proved, i.e. it converges to the optimal fusion steady-state Kalman filter in a realization. A simulation example for a target tracking system with three sensors shows its effectiveness.

The supervisory control theory of discrete event systems modeled as finite state machines (FSMs) have been studied for many years. However, the problem of state explosion in the existing theories obstructs its widespread application. To alleviate the problem, extended finite state machines (EFSMs) are considered to model discrete event systems. In the theories of supervisory control of discrete event systems, controllability is very important. So the controllability of EFSM is vital to study the supervisory control problem of discrete event systems modeled as EFSMs. This paper focuses on the controllability of EFSMs. Firstly, the controllability of EFSM is proposed. Secondly, based on the definition of non-cyclic path and EFSM of deleting-configurations, the necessary and sufficient condition for controllability and an algorithm for deciding controllability are presented.

Any large scale real world Wireless Sensor Network (WSN) based application would require the sensor network to provide more features besides the energy consumption. The issues of the scalability, fault tolerance, efficient data placement as well as retrieval and real time communication are all key requirements besides energy efficiency. The existing real time approaches are not energy efficient. Moreover they are only suitable for specific types of applications and do not work well in large scale applications therefore there is a need for an effective and efficient approach which can work in any type of situation and application. In this paper, we have proposed a distributed cellular approach for our proposed real time data placement model for WSNs. It is assumed that the sensor nodes are time synchronized and aware of their locations in their deployment area. The usage of Action and Relay Stations (ARS) has been proposed for data dissemination and action in the wireless sensor network.

Brushless DC motor-BLDCM self-synchronization relies on rotor position sensors. Because of the inverter diodes freewheeling conduction and the motor’s inductance, the current of phase lags its back EMF, which results in the electromagnetic torque ripple. This paper analyzes the reason of the lagging and derives the relation between lag angle and the constant plateau value of phase current and proposes the dynamic advance angle tracking method based on minimizing the constant plateau value of phase current. Simulation results show that the method can track the optimum commutation advance angle in BLDCM.

This paper sets the single-car elevator parameters firstly, by the method of fuzzy reasoning for highly accurate evaluation indexes of group controls, then use the group control scheduling algorithm to achieve the high effectiveness and efficiency of the elevator group control system. Lastly, a simulation and experimental data analysis have been built during the fuzzy inference process.

The pressure is the most important parameter in the process of airport pipeline refueling. But it is difficult to control the pressure because of nonlinearity and time delay of a pipeline refueling system. In this paper, the properties of airport pipeline refueling system were studied and a pressure control method based on fuzzy PID controlling algorithm was put forward. The control method with the pressure forecast of the pipeline outlet can make up for nonlinearity and time delay of pipeline refueling system and proved to be useful for improving stability of airport pipeline refueling pressure.

The electric heater is a complicated system with serious non-linear, time-variant characteristics. This essay introduces the establishment of a nonlinear and pure lag model, and the design of the batch predictive PID controller based on the model. This controller can be used in the temperature control of electronic heater and also be able to eliminate the adverse affects of brought by hysteretic and nonlinear. The usage of this method in the actual temperature control system has proved it can significantly improve control performance, the system response speed, greatly ameliorate the impact of lag effect.

The new grid rules require the wind generators should have the ability of the low voltage ride-through, and it’s very important for the safety and stability of power system. In order to restrain the rotor of the doubly fed induction generator appearing over-voltage and over-current shock under the grid faults, the doubly- fed machine system had been established, after considering the electric network fluctuation. The paper presented the improved strategy of the stator flux vector to control the generator speed and stator output reactive power. The numerical simulation in MATLAB shows that the method effectively improved the control for the rotor current under grid faults, enhance the stability of power system and the ability of low voltage ride through.

Considering NCS (networked control systems) with the single-mode Markov chain and external disturbances, the nonlinear discrete-time NCS models are proposed by applying CMAC (Cerebellum Model Articulation Controller) neural network. These models can describe the phenomena of stochastic but bounded delays, packets dropout, and disorder. Moreover, the robustly asymptotic stability conditions and the controller designs of NCS are investigated.

The inherent hybrid nature of automotive powertrain and transmission system is characterized by the continuity of powertrain system and the discrete of transmission system, and the optimization for the system under the hybrid framework can obtain a better control performance. In this note, a hybrid model describing the automotive powertrain and transmission system is established firstly, and then the associated optimization problem is formulated. To speed up the solving process, the simultaneous method is adopted. The simulation result verifies the effectiveness and feasibility of the proposed method.

As high-speed flywheel system is hardly controlled by traditional methods. Mathematics of a phase-locked loop flywheel control system is modeled based on the basic principle of the 10-state phase-locked loop, Phase-locked loop control system simulation model are built on the Matlab platform, lower speed limit of the system is analyzed. Then, a 10-state digital Phase-locked loop chip UC3633 is introduced; the brushless direct current motor control system is designed and realized. The hardware experimental results show that the system can be locked at the two given speeds: 732.0rpm and 915.5rpm, with speed steady-state error being less than 0.1%. The experimental results are consistent with the theoretical analyses. Finally, lower speed limit of the hardware system is given.

In order to meet the demands of self-propulsion test, the surface ship self-propelled model control system was described, the network communication protocol based on TCP/IP was built, the main propulsion motors and the steering engines were droved by serial port, the problem of real-time storage of self-propulsion test data was solved by TDMS file, the control system was implemented by LabVIEW in the end. The results of self-propulsion test show that the control system meets the demands of easy control and real-time storage. These works are helpful to the design and implement of other similar systems.

An automatic regulation water supply system based on PLC and VVVF is proposed. The control system regulates the output of VVVF by PLC, and with controlling the number of the working water pump and the speed of motor rotate automatically, achieves automatically regulating water supply of constant pressure by closed loop and transferring the data, then the PID adjustment method is taken to adjust variable frequency pump continuously and regulate the pump frequency combined with constant pressure water supply in the whole flow range. This thesis explains water supply system’s energy conservation principle of pump of speed control according to characteristic curve of running pipelines and water pump. The system can supply the water with the constant pressure and save the energy efficiency.

The drive system used in large aperture astronomic telescope has some particular demands such as smooth operation, high accuracy, good repetitiveness, etc. Traditional friction or gear drive system has some nonlinear disturbs that are hard to be eliminated. A new drive control system based on a permanent magnetic alternating current motor integrates the motor and the load, that is to say, the transmission part between them is deleted. The motor is composed of several segment motors which assembled equispacedly and can work independently and synchronously. The actuating force acts on the whole structure, rather than only gear or master wheel. Muti-motor synchronizing and segment motor control method are discussed in the paper.

Angle scattering is a method to obtain particle size distribution by reading Mie scattering intensity signals at various space angles of particles, which has many advantages such as high accuracy, wide measurement range. To improve applicability in particle size measurement, an inverse solution for particle size measurement using angle scattering based on genetic algorithm is presented, specific steps of the algorithm are given. Results of the simulation indicated, inversion result of the algorithm was almost the same as the given particle size distribution, the proposed algorithm had better applicability than traditional inverse algorithm.

Based on a thermal image analysis technology, a molten steel level measurement system in continuous casting tundish is reported. Measuring the thickness of tundish covering flux is the characteristic of this method. In the measuring process, a CCD camera is used to get the thermal image of measuring sensor which is inserted into the tundish to get the temperature distribution. By calculating temperature grads of the measuring sensor in the thermal images the interface of “molten steel - tundish covering flux - air” can be obtained. The steel metallurgical field application of this method shows that measuring error is less than 5mm and it has a favorable application prospect.

This paper proposes a transparent material thickness detecting system based on CCD sensor, in order to achieve non-contact on-line detection of transparent material thickness parameter. The system utilizes the principle that the displace error is different between the upper and lower surface of the transparent medium, which is simple in structure, high precision in measurement, and more convenient than the measuring solutions before. This design can solve the thickness and size detection problems of optical glass, optical crystal and optical transparent Polymer Material (or optical plastics).The measurement range is 1-10mm, and measuring accuracy is ±0.01mm.

In this paper, a system design for magnetopneumography is described. This method based on the principle of ferromagnetic property has a good future in the early diagnosis of pneumoconiosis. We have built a hardware platform which consists of magnetization coils, magnetic shield room, sensor and circuits system; also, designed a software to achieve data acquisition, calculation, display and management. The measurement on the PDMS models has verified the feasibility of whole system.

Tool tip calibration is an important procedure in most surgical navigations. Investigations on tool tip calibration have been done by several commercial navigation systems, such as, Medtronics, GE, BrainLAB and Materialize. Some of commercial navigation systems require a specific equipment to calibrate the tool tip. Such method is less flexible when performs with different tools. This paper proposes a new method to perform the tool tip calibration which requires the user to point the device’s tool tip on a single pivot point for a set of motions. Optical tracking marker is employed by attaching it on the upper part of device to be calibrated. Position and orientation of the marker is calculated by capturing the motions of the marker rotated about the pivot point. The tool tip vector is computed and generated by our developed algorithm based on the concept of reversing the mean of homogeneous transforms or

SE(3)

. The experimental results have shown that collecting only 5 poses of the tool is the optimum point in term of computational time and accuracy for the algorithm.

The ECG parameters extraction and ECG identification serve as the foundation for ECG Automatic Identification, which has become the hot issue in the field of signal processing [1]. This paper makes a study on the existing QRS complexes detection algorithms, and makes an analysis of the characteristics of differential operator. Based on the real-time feature of ECG automatic detection, this paper puts forward a precise positioning for QRS Complexes, by the means of both positive and negative difference thresholds. This paper uses the order of the positive and negative difference scores of R point to detect inverted R wave. Eventually, this paper uses MIT-BIH ECG database and the clinical measured data to verfiy the above method. The experimenatal results shows that this method is simple, effective, highly accurate and fast operation speed. The detection rate of QRS Complexes is 99.62% or so, which can meet the requirement of ECG real-time detection.

MRI guided minimally noninvasive therapy has gained more and more acceptance in recent years. This paper designs a kind of MRI guided robot with pneumatic cylinder as driver, which is MR compatible, and mainly elaborates on the most difficult pneumatic control algorithm. We adopt a control algorithm based on fuzzy logic. The experiment shows that the proposed algorithm has good accuracy and dynamic characteristics.

This paper proposes a novel string-driven pen-based haptic device, which is capable of two translational and one rotational (2T1R) interaction. The inputs of interface are translation and rotation of pen tip tracked by strings. Simultaneously, force and moment feedbacks are displayed at pen tip via string tensions. In addition, this device can be fixed on common planar display device, and make visual display and haptic display coincident and well integrated. Therefore, user can design and manipulate virtual world by drawing, selecting, moving or rotating objects on screen in a natural and intuitive way.

Based on STM32F103 chip with ARM Cortex-M3 core, the motion controller for SCARA robot was developed. The extensive peripheral function and ST firmware libraries of STM32F103 chip made the realization of the controller conveniently. It achieved a good performance of the four servomotors’ coordinated movement. The motion controller realized the smooth acceleration, constant speed and deceleration of the servomotors by the mode of S-curve motion control, avoiding the vibration of the robot arms, and ensuring the smooth working of SCARA robot arms. The experiments validated the controller was good generality and openness, and the motion controller was used in the independent development of the SCARA.

As the tracked mobile robot being used more and more widely, the requirement of its control is higher and higher. The most important control parameter is turning radius of tracked mobile robot, since its turning radius is quit different from wheel robot. According to the experiments, the turning radius of tracked mobile robot is influenced by not only the velocities difference of both tracks, but also the offset between the center of mass position and center of figure position when the tracked mobile is moving. In this paper, the simplified turning radius formula of tracked mobile robot and the modified formula are established by theoretical analysis and experiment statistics. The experiment result shows that the modified formula is accurate.

The small-size remote control helicopters have been greatly limited their application for their very difficult operation, short distance of remote control. To solve this problem, the key lies in the development of practical, reliable stability augmentation system for automatic level posture balance and upgrading to beyond-visual-range controlled unmanned helicopter. A method determining stability augmentation system algorithms and controls by experiments, and applied hardware and software system realizing the above stability augmentation testing method presented. The system is composed of two parts, i.e. airborne parts and ground systems. Airborne parts include acquisition of up-down and ailerons steering engine receiver signals; acquisition of pitch, incline signals and error signals; correction signal calculation; up-down and ailerons steering engine control output signals; telemetry signal output, etc. Ground systems include wireless data transmission modules, computer hardware and application software developed with Delphi software having data receiving, calculation, numerical display and graphics display functions. Ground online tests show that the stability augmentation testing system can accurately collect pitch, incline signals and control signals from the receiver and transmit required testing data. Graphs and data display are normal. Thus the foundation has been built up for the final unmanned helicopters stability augmentation control.

The navigation applications today are becoming more and more demanding on the up-to-dateness of digital roadmap. The roadmap deviation detected by navigation application can be used as feedback of digital roadmap, thus improves the up-to-dateness of roadmap, and a server is built to share the incremental feedback data to other navigation applications. A framework of roadmap incremental update is established. The server in this framework shares autogenic incremental data to navigation applications and thus it improves the up-to-dateness in all applications without the support from map centre.

Indoor autonomous flight of aerial robots is a hot research field in recent years. This paper describes the system architecture and core algorithms for a quadrotor aerial robot, which uses linear structured light to detect unstructured and unknown indoor environments. A model of linear structured light measurement system is built. The measuring principle, the parameters calibration method and the coordinate transformation algorithms are presented. The experiments are performed and the three-dimensional point-cloud map of the experimental environment is determined. It is found that the errors of the experiments for this system are acceptable for environment detection.

Accuracy of independent GPS navigation systems is tied to the map-matching (MM) algorithm, which overcomes GPS error and traffic map error to map ve-hicle GPS tracks onto corresponding roads. This paper presents a map-matching process compatible with junction adjusting. An innovative idea is expressed in pa-per to improve the accuracy of intersection node at vector map by utilizing the large amounts of GPS trajectory data, which come from map-matching procedure. With the adaptively corrected digital map, the simulation result gave better map-matching effect, and showed the effectiveness of map-matching compatible with junction adjusting.

Data transmission method and communication protocol of the dynamic traffic information are described in this paper. Dynamic traffic information model and dynamic traffic database are established, then the query and refresh of road condition and display of the traffic information in embedded navigation system are realized. Experiments show that the display and refreshment of dynamic traffic information in digital map can meet the requirement of embedded dynamic navigation system.

Self-localization is the basis of autonomous ability for mobile robotic navigation, motion planning. In order to meet the requirement of real-time performance of the game, an improved radial scan method to extract white lines of space is proposed in this paper, then use the information of white line to achieve self-localization for Soccer Robot, and the results of experiments show that the new method reduces not only the noise interference but also the amount of calculation, which could considerably enhance the real-time performance and accuracy of the system of Soccer Robot for MSRL.

In the future, if the in-vessel of the EAST (Experimental Advanced Superconducting Tokamak) machine becomes radioactive, man access into the Torus Hall will be restricted due to radiation levels. Remote Handling maintenance will be vital to the continued operation of the machine. An Articulated boom has been designed as the device for in-vessel transport of all equipment and servomanipulators and is part of EAST RH (Remote Handling) plan.The Articulated boom consists of six segments on the horizontal plane with a reach of 6m.The terminal segment can also be tilted to position the end-effector close to the top or bottom of the vessel.The boom can reach any part of the vessel from one port.This has been demonstrated in ADMAS(Automatic Dynamic Analysis of Mechanical Systems).

Introducing workflow method into software testing process can greatly improve software testing standardization and automation. Based on the description of software testing process conceptual model, according to the Workflow Process Definition Language (WPDL), Software Testing Process Description Language Based on Workflow (Wf-STPDL) is proposed along with detailed introduction to its design and implementation. Then an example is presented to describe the application of this language in the last part of the paper.

In this paper, a tool wear assessment method based on wavelet packet energy spectrum and energy value of the characteristic spectrum band is introduced. The experiment to different wear condition of the turning tool were completed. The typical time and frequency feature of acoustic emission signals was collected. By wavelet packet analysis, the energy spectrum coefficient of wavelet packet were extracted, which can be used to describe the energy distribution in different frequency band. And then the characteristic spectrum band which is sensitive to the tool wearing can be found, and the relationship between the energy value of the characteristic spectrum band and the degree of tool wear is established. The result shows that distribution of the energy spectrum coefficient of wavelet packet changed significantly after the tool worn, and the energy value of the characteristic spectrum band increased with the tool wear. Therefore, the characteristic index can accurately describe the extent of tool wear.

Using the broadcast ephemeris and precise ephemeris provided by the international GPS service for geodynamics (IGS), the precision of the orbit computed by GPS broadcast ephemeris are analyzed. The orbit precision of broadcast ephemeris is about 5 meters. This paper describes the approach of point positioning using pseudo-range in detail, and then discusses some problems in data processing. Based on this, the differences of positioning accuracy between broadcast ephemeris and IGS precise ephemeris are analyzed and compared. The experiment data is set from IGS tracking stations. With the result calculated, some conclusions are given in the end. In addition, some beneficial conclusions on improving positioning precision are gained.

The purpose of this contribution is to discuss and communicate areas where technological challenges in the Computer Science and Software Development Sector lie. Having been in touch with technical side of many companies, we have compiled a list of common technological challenges in the sector. We see this kind of inventory beneficial to the academic community as it provides an account of industry challenges. The analysis would be necessary to really assist players in the sector in being better prepared for formalizing and documenting their learning and know-how development. Beside knowledge management benefits the analysis also would help taking advantage of research and development funding and attract investors; both academic and industrial organizations can take advantage of this aspect. We are calling this type of analysis “capabilities analysis”. A single company might not solve the world’s technical problems, but just being aware of them and measuring steps taken to advance, even slightly, in the direction of solving the problems presented in this analysis would make the company stand out. When data is formulated this way, strong evidence is created that the project goes beyond standard engineering by distinguishing risk that can be eliminated through experiment from standard engineering risk.

On the basis of introduction the basic theory of spatial interpolation., this paper is systematic analysis of several commonly used spatial interplolation methods; In addition to this, comparing and summarizing several methods through studing and researching on the range, merit and shortcoming, interpolation accuracy and so on. Design the specific processes of Inverse Distance Weighed and Kriging etc. and explores options for specific interpolation cases combined experimental test. The end of the paper summary and outlook the future research direction of spatial interpolation areas, provide a useful reference for development and application of spatial interpolation methods.

Laser diode source is simulated by a new model with consideration of the inherently different divergence angles of the emitted light. It is shown by this letter that the standard classical approach using an astigmatic point source distance model fails when simulating a laser diode. The astigmatic source model based on the experience with telecentric systems is presented. By using a telecentric optical system, a rectangular object source with different divergence angles is defined and a default MF in optical design software could be used to optimize the optical system. A collimation design example is demonstrated and the analysis results are consistent with laboratory experiments. The laser diode model and analysis methods discussed here could be used to stimulate and optimize astigmatic object light source.

The real time measure of rotation speed and rotation angle is to lower the shell distribution and extend the range of rocket. The theory of rotation speed measurement using Film geomagnetic winding was presented. It is validated on the nonmagnetic turntable. The mathematics model of measure rotation speed and rotation angle on fly bomb was modeled. The attitude of full trajectory is tested by stored testing and measuring device which is controlled by FPGA. The data analysis showed rotation speed and angle can exactly acquired the self rotation cannonball.

To determine whether the proapoptotic effect of proprotein-convertasae cubtilisin/kexin 9 related to caspase3 activation by informatics analysis. The blank control group, the transfection regent control group, the negative control group and the 80 nmol/L PCSK9 siRNA+80

μ

g/ml oxLDL group were established simultaneously with the participation of HUVEC-12 which was incubated with 80

μ

g/ml oxLDL for 24hr. Expression of caspase3 was measured by western blot. In order to find the similarity of sequence and the existence of a common conservative motif, comparison was made among PCSK9, caspase8 and caspase9 by bioinformatics methods. An inhibitory effect of PCSK9 siRNA on expression of caspase3 was observed in experiments. The sequence similarity of PCSK9, caspase8 and caspase9 was 22.14%. There was a similar secondary structure such as helix, strand, turn and coil in C-terminal of PCSK9 and caspase9. The similarity also can be found in the profile of PCSK9 and caspase9, which explains the common cleft relating to their similar enzyme activity in their abdomen. Finally, there were similar motifs when comparing PCSK9 with caspase9, while the proapoptotic capacity of PCSK9 has association with its activation effect on caspase3.

Spectrum sensing which detects the presence of primary user in a licensed spectrum is a fundamental problem in cognitive radio. Sensing accuracy is the most important factor to determine the performance of cognitive radio. Due to the existence of noise, many algorithms are subject to some limitations for application. In this paper, a novel spectrum sensing method is proposed based on the wavelet denoising. An important scenario for the different characterization of signal and noise in the wavelet multi-scale analysis is the case where the receiver is able to distinguish the signal and noise. This method does not require any prior information about the primary signal, and also has a good spectrum sensing performance at a low SNR.

In this paper, we make use of a generalization of the discrete Fourier transform to construct multisequences from single sequences, with the same linear complexity. On the basis of the construction, we determine the joint minimal polynomial of random periodic multisequences by giving one algorithm.

The original images were obtained from the uniaxial compression tests of limestone and transformed into the static and responding grayscale ones. The displacement field was computed using the particle image velocimetry technique. The strains were obtained from the displacements using the local least square method and investigated at different locations. It was found that the deformation changes steadily followed by a rapid increase as time passes and only a few of them had been developed into the visible cracks, although several deformation concentrations occurred in the specimen under the compression loads. The techniques presented herein provide valuable information in investigating the failure mechanism of the rock materials.

As the digital communication circuit could operate up to several or even hundred gigahertz, this paper is to demonstrate the architecture of the circuit system based on the digital system for coherent population trapping (CPT) atomic clock. A vertical cavity surface emitting laser (VCSEL) multi-modulation circuit based on digital communication circuit was designed and realized. Test results showed that the digital communication circuits could be possibly used in CPT atomic clock.

The special forest fire prevention task of Beijing puts forward a higher demand of the forest fire prevention informatization. Based on geographical simulation system theory, and taken dynamic data driven application systems as technological paradigm, this paper brought forward a new fire simulation technology framework and network system, solved the key technology in the simulation system building process such as model base construction and management, model suitability selection, model adaptive correction, real-time simulation validation, forest fire space spreading simulation, and so on. Automation and intelligent selecting precision of the forest fire model reached more than 80%. Model error correction simulation reached a more satisfactory result. With the further improvement of system construction, the system will integrate with the operational system, and improve the forest fire fighting decision-making.

This paper presents an adaptive vehicle for in-pipe inspection task. This vehicle can change the configuration to adapt the diameter variables of the pipe. Furthermore, the vehicle has a camera and a light mounted on the platform of the vehicle. Some simulation results are showed with the virtual prototyping tool COSMOSMotion simulator. From the simulation results and animation, we can get the motor force and torque requirement of the crank of the vehicle quickly and study the functionality of the vehicle in early design stage, so we can reduce the physical prototype development time and cost.

An improved method for direction-of-arrival (DOA) estimation algorithm based on Multistage Wiener Filters (MSWF) in the presence of impulsive noise is proposed in this paper. There are many DOA estimation algorithms based on Multistage Wiener Filters, but all of them must satisfy the requirement of the noise is Gaussian white noise, which can not the accurately in the presence of impulsive noise. The improved method has good performance at DOA estimate when the noise is impulsive noise, and some computer simulations show it.

Ninety seven pairs of same-gender friends were recruited from four universities. Both members completed self-report and rating partner’s interpersonal traits. Relationship quality was also measured. Actor-partner interdependence models for indistinguishable data including main effects of both self perception and other perception and interaction effect of self perception were used to analyze the two interpersonal dimensions separately. The results indicated that the actor effect of other rating on affiliation was the largest effect. Interaction effects with main effects controlling revealed that similarity in affiliation and opposite on dominance were benefit for friendship, which supported the interpersonal complementarity theory of Leary and Carson’s.

We took soybeans as experimental substance to study how the 632.8nm He-Ne laser affected the isoflavone content of cotyledon, laminae and stem. Results: the activity of PAL, the content of dissociated Phe and isoflavone are different with ck when embryo of soybeans were irradiated 1-7 min by laser with power density of 3.6 mW·mm

− 2

. The increase of dissociated Phe and the activity of PAL laid foundation for the great accumulation of isoflavone, and the optimal effect was observed at 5 min. The mechanism that laser pretreatment of soybean seeds could increase the isoflavone content of the seedlings was discussed in such both aspects as the activity of a phenylalanine ammonia-lyase (PAL) as an initial enzyme and the content of Phe.

Chaotic sequences have been widely used as pseudorandom sequences. But the problems of how to judge the performances of their autocorrelation functions are good or not, up to now, have not been solved. So, the applications of chaotic sequences are limited. In the paper, by method of phase space, we presented APAS theorem that a chaotic sequence which phase space trajectory is axis symmetrical has good performance of autocorrelation function. Many simulations were presented to verify this theorem. In addition, according to usual Radar systems, the influences of quantization error of ADC and additive white noise on autocorrelation function were discussed, too. These works make chaotic signals can be used more easily.

Photoelectron interference speckle class precision equipment by many factors, often below standard detection accuracy This paper will mainly measurement error are discussed. Summarizes the error detection system consists of two parts, namely, system error and random error. This type of equipment to improve manufacturing precision, and the proper use of such equipment with some guidance.

A method combination of dynamics and statistics was applied to improve the seasonal prediction of summer precipitation in the Mid-Lower Reaches of the Yangtze River, which absorbed the fruit of dynamic model to set up the skills of precipitation. The prediction of the numerical model can be turned into the estimation of the model error, through decomposition the error field by the empirical orthogonal function (EOF), compression the dimensions of the field and division the scaled quantity out of the field. The first three principal components were predicted based on the matched pre-factors. As for the small -scale components, the probability of the climate mean state was given. On the whole, the skill of the summer precipitation prediction was improved apparently.

Taking Songbei district of Harbin city as study area and flood damage as researching object, GIS spatial analysis is used to suitability analysis of emergency shelter by AHP getting every weight coifficient, which select drainage landscape function area, Songbei residential area and dam as main impacting factors. Finally, it determines three level emergency shelter alternative districts, community level, street level and urban district level.

Based on the cellular automata theory and fire behavior of grassland fire, this study simulated the spreading process of the grassland fire disaster. Take the severe grassland fire disaster of XiLinGuoLe in May 16, 2005 as a cases, comparing with actual results, this model showed reliable, and this model can provides decision-making for grassland fire management department.

It is necessary for many electrodes to paste on head in most of EEG measurement machine to extract EEG signals in the field of EEG analysis. This restricted its application in the portable EEG-signal acquisition. The main purpose of this paper is to implement a wireless sensor network to easily measure brain waves. We use a single electrode and a wireless Bluetooth interface to capture EEG signals. This study, we used the Schwab classification to classify the signals into

β

,

α

,

θ

, and

δ

waves. We processed the features of

β

and

α

waves to control several devices. In the simulation results, the proposed system not only reduces the physical size but also extract EEG signals with a portable manner.

Chaotic sequences, as a kind of pseudorandom sequences, have been widely used. But some well known chaotic sequences, such as TD-ERCS sequence, have poor autocorrelation performance, and their applications are limited. Based on recently presented APAS theorem, we modified TD-ERCS map to S-TD-ERCS map, and S-TD-ERCS sequence has excellent autocorrelation performance and simple structure, whereas its other performances are remained invariant or become better, and can be used more widely.

A LD-pumped Nd : YAG/ LBO laser with three-mirror-fold cavity was presented to get watt-level high efficiency blue laser. By optimizing design, with the incident power was 10W , 1. 48W 473nm blue laser was obtained. The optical-to-optical efficiency is up to14.8 %. At last, the stability of the blue laser was also analyzed and discussed.

In this paper, the AC small signal model of single-ended flyback power supply in CCM mode using average switching elements model approach is introduced. Analysis and establish power supply model based on TOPSwitch chip, and design controller with frequency domain method. The results of MATLAB simulation certify that compensation network is reasonable. 32W prototype is developed, output ripple is less than 5% and voltage regulation rate is about 2%.

Recently, the fuze technology is developed rapidly towards a well-directed purpose of information, intelligence, smart size, and detection & recognition, which results in the higher requirements of conventional ammunition navigation system. For using small space, combined with existing technology, an inertial navigation system based on FPGA by constructed multi-processor is designed and realized. It has very low power consumption and low-cost. According to the features of the hardware and software, a practical system is proposed. Calculating ballistic parameters and error analysis shows that the method is practical and effective. And the study offers reference for the design of trajectory correction projectiles.

In this paper we first give the equivalent characterization on

β

 − 

T

2

space. Then we introduce the definitions of regular-open set and regular-close set based on subbase and give their basic property. Furthermore, we define

β

 − 

RC

regular space and

β

 − 

RC

normal space and give their equivalent characterizations.

With the development of offshore oil exploration, the number of offshore engineering is increasing. The appearance of construction will affect the flow distribution around engineering area, which will affect silt migration around construction, and cause local scour. In this paper, a three-dimensional modal COHERENS-SED is developed. The new modal is developed on the basis of COHERENS modal, and the wave-tidal interaction is also concerned. Then a platform and sea route is taken for example in this paper. By building up calculation modal of tide variation in engineering sea area, we analyze the tidal current distribution characteristic before and after the construction of a platform and sea route. The results of numerical calculation analysis show that the new three-dimensional modal is compatible well to the tidal current distribution of offshore engineering. And the methods of numerical analysis can provide a scientific basis for the development of offshore construction.

Prison centralized alarming system (PCAS) is a very important part of prison digital monitoring system (PDMS). How to collect all those alarm information generated from the alarm objects within the scope of prison and submit to PDMS is the key problem to be solved urgently. Wireless sensor networks (WSNs) can incorporate miscellaneous prison alarm information and send the fused data to PCAS with the aid of flexible deployment, while it is not that convenient for wire transmission mode to finish the tough job. Combined with multi-level video surveillance, PCAS can not only demonstrate prison alarm information real time but also improve the efficiency and security of prison management greatly.

The continuous fine spectrums obtained by hyperspectral remote sensing provide broad accessibility to precisely estimate physiological and biochemical parameters of ground vegetation. Chlorophyll is responsible for absorbing sunlight, so the real-time and accurate monitoring of chlorophyll becomes an important research field of hyperspectral remote sensing in precision agriculture. By utilizing a spectral index which is sensitive to the chlorophyll content(Chl), this paper tried to calculate the Chl profiles of the arid region in Heihe River Basin based on hyperspectral remote sensing images acquired by Operational Modular Imaging Spectrometer (OMIS) in WATER campaign[1]. In addition, an Absorption Depth Index(ADI) was proposed as an effective indicator of the emissive chlorophyll fluorescence (ChlF) based on the spectral characteristics of Solar Fraunhofer lines, and the ChlF and ADI profiles at 760nm band of each experiment site were worked out. The inversion result of Chl and ChlF were in good conformity with the actual situation, which would serve as important materials for the real-time monitoring of crop growth in the Heihe river basin.

The subject of analysis is determined by wall rock displacement-time curve type, if curve type is stable type, the final displacement should be predicted, if curve type is unstable type, then the unstable time should be predicted. An integrated prediction and evaluation method, which named SDPM, is established, which takes residual standard deviation as basic indicator, the relative error, fitness, relative weight of the model is defined. Base on above research, the tunnel wall rock displacement time forecasting software is developed by Microsoft SQL Server 2000 database and Delphi program language, its main functions include predicting stable displacement of wall rock; predicting unstable time of wall rock; comprehensive prediction by SDPM method; and so on. Application cases indicate that the SDPM method and software is effective and convenient.

In order to remove the uneven illuminations of a digital image from the LED light and CCD-based machine vision system, a new method based on a light illumination model is presented for correcting the uneven illuminations in this paper. The experiment results show that the method has excellent correction effects in the uneven illumination of LED light, CCD surface and stained lens. As a result, this method can be widely used in such LED light and CCD-based machine vision systems to dramatically increase their inspecting precisions and detecting speed.

As an important platform for people to retrieve information and deliver of comments, BBS (Bulletin Board System) forum faces all kinds of content security threats. This paper analyszes the structure and characteristics of BBS documents, then proposes the security strategy and services provided by the BBS content security montoring system, and presents one new method of BBS real time web crawling at the end.

Light-emitting diode (LED) is an ideal energy-efficient lighting source. Because of its unique light-emitting principle, LED needs constant current power source driver. The drive circuit to a large extent determines the efficiency of the energy efficiency of LED lighting. This paper analyses the efficiency of PCC BUCK circuit of LED lighting driver using simulation and experimental method, as well as compares the energy consumption of the various parts of the circuit. Following analysis, this paper gives specific measures to improve the drive efficiency.

The measurement of motion rotation of automatic mechanism is of great importance to evaluate the firing accuracy of artillery. In this paper, we provide a measurement technology based on x-ray real time imaging system. Since X-ray has the capability of penetration through object, we could film the movement inside the automatic mechanism without touching it. This technology thereby makes real-time and non-contact monitoring possible.

As the phase difference error measured with phase-interferometer is great in practice, the convergent speed of the passive location algorithm of phase difference change rate is lower. An algorithm is presented, which makes use of wavelet threshold de-noising algorithm to smooth the phase difference and the change rate of phase difference. Then the radiant target can be located quickly and accurately in the condition of great measuring error of phase difference. And the shorter the observation time of the phrase difference date, the better the anti-noise capability, the higher the location precision. Simulation shows the effectiveness of the algorithm.

Along with the rapid increase of agriculture information, research on the agriculture information resources has become a hot spot. The service platform of “Three Agricultures” open access will achieve integration and retrieval of information resources. This researching result has great significance to accelerate the development of agricultural information.

The technique and method of wave measurement using a single GPS receiver are given in this paper. Displacement measurement experiment and simulated wave measurement experiment with a single GPS receiver are done, the two experimental data is processed and analyzed. The feasibility of wave measurement with a GPS receiver is validated.

A class of dynamic complex network evolving models with multi-triangular structure is given. By utilizing the mean-field theory, it is proved that the models have the probability of power-law degree distribution with large average coefficient clusters. Then, by MATLAB tools, robustness of the models is analyzed according to two attacking strategies: random attack and max-degree attack. The results show that the robustness of the models are similar as that of the BA models at random attack, but the models are more vulnerable than that of the BA models at max-degree attack.

Some defects of the Genetic Programming had been point out first in this paper. To overcome these defects, we proposed the “Seed Selection” genetic algorithm. And the algorithmis implemented in the environment ofMatlab. The numerical results show that the algorithm is effective and rapidly convergent. Furthermore, it can assure the evolution algorithm can’t run into local minimizer.

This article discusses JQB2 type series motor starter controller of system structure and basic theory, and illustrates the necessity of software design and development prospects. Through analyses the characteristics of JQB2 type series motor starter controller software application, the paper proposes the Software based on JQB2 type series motor starter controller in Visual c + + platform. The article also gives the overall design scheme and the realization methods.

Software based system change has been widely used, with the development of society advance. Software based high-quality produce has great, relative to the hardware product itself. First, it can reduce the cost that the full tests, and can to improve test efficiency; Secondly, software changes is relatively easy, its performance testing also more convenient; Third, it also can make full use of limited resources; will the designer’s energies into a more meaningful test.

The relative efficiency of 14 commercial banks in China is studied based on DEA model with the data of the year 2009, then the factors that influence the relative efficiency are analyzed. The results show that the Non-DEA efficient commercial banks should streamline redundant employees, carry out high-tech transformation, improve management and product innovation, and reduce operating expenses to adapt to social development and to strength their competitive power so as to remain in an invincible position in the financial industry’s global competitiveness.

The precursors were synthesized by a co-precipitation method with the solutions of mixed nitrates as starting materials and ammonium bicarbonate as precipitator. The Yb3+:Y2O3 ultrafine powders were prepared by sintered precursors at various temperatures. XRD, TG-DTA, SEM and the fluorescence spectra analysis were employed to characterize the Yb3+:Y2O3 ultrafine powders. The results showed that the powders are less-aggregative and well-dispersive with diameters about 100~200nm. The luminescence spectrum is consisted of three peaks at 976nm, 1030nm and 1075nm respectively under excitation of 514nm which are attributed to transition of Yb3+ 2F5/2→2F7/2.

Water logging disaster has enormous impact on urban sustainable development. Simulation, risk assessment and emergency evacuation for urban water logging disaster are this paper’s research focuses. Using GIS component ArcEngine, Microsoft Visual Studio 2005, SQL Servrce2000 product research and development of urban water logging disaster eme rgency response decision support system to realize the functions of urban water logging disaster simulation and visualization based on three-space model, urban disaster risk assessment product and emergency shelter and relief supplies optimize layout. This can provide emergency management decision-making basis for urban water logging disaster.

A class of nonlinear partial elliptic equations is studied in this paper. At first, the functional

ϕ

can be established according to the elliptic equations, and the critical points of the functional

ϕ

are the solutions of the elliptic system. Second, special linking theorem for the equations is constructed under some conditions, and the minimax theorem is used. At last the functional

ϕ

can be proved to have at least three critical points. So we can have a conclusion that there has been at least three nontrivial solutions of a class of elliptic equations.

With the development and application of Computer Technology and RS and GIS, the data and method related with geo-science have enriched data sources and research methods of geo-science analysis. This aszrticle was from the forest space differentiation model and 3-d display of study area to carry on the forest geo-science analysis by the RS and GIS technology, and applied it into the study of forest fire disaster risk regionalization for building an assessment model of forest fire disaster risk indexes. It got a level image of forest fire risk regionalization of LinXi county by using AHP and the Weighted Superposition method of GIS. It can provide a basis for making decision for forestry management.

The minimum number of colors needed to properly color the vertices and edges of a graph

G

is called the total chromatic number of

G

and denoted by

χ

”(G). In this paper, the some known results are strengthen and prove that if

G

is a planar graph with maximum degree six, and for each vertex

v

, there is an integer

k

v

 ∈ {3,4,5,6} such that

G

has no

k

v

-cycle which contains v, then

χ

”(

G

) ≤ 8.

The main factors affecting the composition of DINK (Double income no kid) families are the proportion of people living in cities, the proportion of college educated women, and the proportion of people in the previous two situations that accept the idea of a DINK family. These three factors will be analyzed to determine a growth model for the phenomenon of DINK families. In order to predict the proportion of people in China who will accept the concept of DINK families in thpe coming years, the Grey Model is used to determine the DINK coefficient. This is used in turn to predict the trend of the DINK phenomenon in China during the next fifty years.

Since the DINK phenomenon influences the total birth rate, the abovementioned predictions will be combined with the Song Jian - Yu Jingyuan model of population development to produce predictions for birth rates, mortality rates, migration rates, and other population parameters.