Fundamental algorithm and computational codes for the light beam propagation in high power laser system

The fundamental algorithm of light beam propagation in high power laser system is investigated and the corresponding computational codes are given. It is shown that the number of modulation ring due to the diffraction is related to the size of the pinhole in spatial filter (in terms of the times of diffraction limitation, i. e. TDL) and the Fresnel number of the laser system; for the complex laser system with multi-spatial filters and free space, the system can be investigated by the reciprocal rule of operators.     

SVD Approach for Actuator and Sensor Placement in Active Vibration Control of Large Cable Net Structures

The actuator and sensor placement problem for active vibration control of large cable net structures is investigated in this paper. Since the structures exhibit closely spaced modes in the range of low frequencies, the number of modes to be considered is quite large after modal truncation, while only a limited number of actuators and sensors are to be placed. This makes it hard to determine the actuator and sensor locations with the existing placement methods in the literature such as the methods based on the controllability/observability grammian. To deal with this issue, an actuator and sensor placement method based on singular value decompositions (SVD) of the input and output matrices is proposed, which guarantees the modal controllability and observability of the system. The effectiveness of the SVD based method is verified through numerical simulations in which comparisons are conducted between randomly-chosen locations and the optimal ones obtained by a genetic algorithm.     

A neurofuzzy system based on rough set theory and genetic algorithm

This paper presents a hybrid soft computing modeling approach for a neurofuzzy system based on rough set theory and the genetic algorithms ( NFRSGA ). The fundamental problem of a neurofuzzy system is that when the input dimension increases, the fuzzy rule base increases exponentially. This leads to a huge infrastructure network which results in slow convergence. To solve this problem, rough set theory is used to obtain the reductive rules, which are used as fuzzy rules of the fuzzy system. The number of rules decrease, and each rule does not need all the conditional attribute values. This results in a reduced, or not fully connected, neural network. The structure of the neural network is relatively small and thus the weights to be trained decrease. The genetic algorithm is used to search the optimal discretization of the continuous attributes. The NFRSGA approach has been applied in the practical application of building a soft sensor model for estimating the freezing point of the light diesel fuel in a Fluid Catalytic Cracking Unit (FCCU) , and satisfying results are obtained.     

A fuzzy neural network evolved by particle swarm optimization

A cooperative system of a fuzzy logic model and a fuzzy neural network(CSFLMFNN)is proposed,in which a fuzzy logic model is acquired from domain experts and a fuzzy neural network is generated and prewired according to the model.Then PSO-CSFLMFNN is constructed by introducing particle swarm optimization(PSO)into the cooperative system instead of the commonly used evolutionary algorithms to evolve the prewired fuzzy neural network.The evolutionary fuzzy neural network implements accuracy fuzzy inference without rule matching.PSO-CSFLMFNN is applied to the intelligent fault diagnosis for a petrochemical engineering equipment,in which the cooperative system is proved to be effective.It is shown by the applied results that the performance of the evolutionary fuzzy neural network outperforms remarkably that of the one evolved by genetic algorithm in the convergence rate and the generalization precision.     

Downlink Resource Allocation with Multi-Objective Optimization in OFDMA Systems

A downlink radio resource allocation algorithm is proposed for orthogonal frequency division multiple access( OFDMA) systems. The resource allocation problem about system throughput and user fairness is formulated based on the multi-objective optimization theory. Then the optimality conditions are derived,according to which a joint subcarrier and power allocation algorithm is proposed. The simulation results show that the proposed algorithm can dynamically achieve arbitrary levels of compromise between throughput and fairness by adjusting the weighting coefficient,outperforming some static algorithms. In comparison,the classic maximum rate algorithm( MRA),max-min algorithm and proportional fairness( PF) algorithm can only achieve tradeoff in a certain level and are all special cases of the proposed algorithm.     

Fuzzy-GA PID controller with incomplete derivation and its application to intelligent bionic artificial leg

An optimal FID controller with incomplete derivation is proposed based on fuzzy inference and the genetic algorithm, which is called the fuzzy-GA PID controller with incomplete derivation. It consists of the off-line part and the on-line part. In the off-line part, by taking the overshoot, rise time, and settling time of system unit step response as the performance indexes and by using the genetic algorithm, a group of optimal PID parameters Kp* , Ti* , and Td* are obtained, which are used as the initial values for the on-line tuning of PID parameters. In the on-line part, based on Kp* , 77 , and Td* and according to the current system error e and its time derivative, a dedicated program is written, which is used to optimize and adjust the PID parameters on line through a fuzzy inference mechanism to ensure that the system response has optimal dynamic and steady-state performance. The controller has been used to control the D. C. motor of the intelligent bionic artificial leg designed by the authors. Th     

EyeScreen： A Vision-Based Gesture Interaction System

EyeScreen is a vision-based interaction system which provides a natural gesture interface for humancomputer interaction （HCI） by tracking human fingers and recognizing gestures. Multi-view video images are captured by two cameras facing a computer screen, which can be used to detect clicking actions of a fingertip and improve the recognition rate. The system enables users to directly interact with rendered objects on the screen. Robustness of the system has been verified by extensive experiments with different user scenarios. EyeScreen can be used in many applications such as intelligent interaction and digital entertainment.     

Design of systolic BN circuits in Galois fields based on quaternary logic

The BNoperation is known as an efficient basic operation in Galois fields GF(2k),and various algorithms and implementations using binary logic signals have already been proposed.In order to reduce the circuit complexity and long latency of BNoperations,a novel algorithm and its systolic architecture are proposed based on multiple-value logic(MVL).In the very large scale integration(VLSI)realization,a kind of multiple-valued current-mode(MVCM)circuit structure is presented and in which the combination of dynamic source-coupled logic(SCL)and different-pair circuits(DPCs)is employed to improve the switching speed and reduce the power dissipation.The performance is evaluated by HSPICE simulation with 0.18μm CMOS technology.The transistor numbers and the delay are superior to corresponding binary CMOS implementation.The combination of MVCM circuits and relevant algorithms based on MVL seems to be potential solution for high performance arithmetic operationsin Galois fields GF(2k).     

Adaptive ANFIS-based filter for active control of sinusoidal primary noise in nonlinear path

Linear active noise control (ANC) system is promising in suppressing broadband and narrowband noise in a linear acoustic site.However,in some situations,the acoustic systems are nonlinear which make the primary noise being nonlinear distortion at the canceling point,and the linear ANC system maybe can not work well for these cases.This paper presents an adaptive network-based fuzzy inference system (ANFIS)-based nonlinear filter for active noise control,which is expected to be successfully applied to situations with nonlinear distortion.In the proposed adaptive control algorithm,the parameters are updated by gradient descent method.In the simulations,the secondary-path FIR model coefficients are estimated in advance by off-line system identification method,and one case for sinusoidal primary noise with nonlinear distortion is presented,which verifies the effectiveness of the proposed system in suppressing sinusoidal noise generated by rotating machines,e.g.,engines in vehicles.     

＂Smart＂ ultrasonic pig design and its signal processing research

This paper introduces the design and development of intelligent ultrasonic ＂pig＂ used for seabed pipeline inspection. The data acquisition system （DAS） and the signal processing method are presented. The DAS was designed using a muhi-DSP based structure. The signal processing method adopted a well-enhanced split-spectrum processing （SSP） based on weighting algorithm according to statistical times, which was the statistical distribution of the discrete signals selected by the minimization algorithm. Furthermore, the data compressing method was discussed. It assures the mass data to be processed and compressed in real-time. The effectiveness of the method was proved by laboratory experiments. The research provides an excellent base for further development of the ultrasonic pig.     

Theory of Ω-(α-tautologies) in revised Kleene systems

That there are only three different kinds of α-tautologies in revised Kleene systems is proved first; then in finite case the diversity theorem of α-tautologies with α's larger than the mid-value is established. Lastly, also in finite case, a representation theorem of α-tautologies by means of tautologies is given. Project supported by the National Natural Science Foundation of China (Grant No. 19331030).     

Systolic B –1 Circuit in Galois Fields Based on a Quaternary Logic Technique

In order to improve the circuit complexity and reduce the long latency of B~(-1) operations,a novel B~(-1) operation in Galois Field GF(24) is presented and the corresponding systolic realization based on multiple-valued logic(MVL) is proposed. The systolic structure employs multiplevalued current mode(MVCM) by using dynamic source-coupled logic(SCL) to reduce the initial delay and the transistor and wire counts. The performance is evaluated by HSPICE simulation in 0.18 μm CMOS technology and a comparison is conducted between our proposed implementation and those reported in the literature. The initial delay and the sum of transistors and wires in our MVL design are about 43% and 13% lower, respectively, in comparison with other corresponding binary CMOS implementations. The systolic architecture proposed is simple, regular, and modular,well suited for very large scale integration(VLSI) implementations. The combination of MVCM circuits and relevant algorithms based on MVL seems to be a potential solution for high performance arithmetic operations in GF(2~k).     

Microscopic phase-field simulation for coarsening behavior of L12 and DO22 phases of Ni75Cr x Al25? x alloy

Based on the microscopic phase-field dynamic model and the microelasticity theory, the coarsening behavior of L1₂ and DO₂₂ phases in Ni₇₅Cr _x Al_25−x alloy was simulated. The results show that the initial irregular shaped, randomly distributed L1₂ and DO₂₂ phases are gradually transformed into cuboidal shape with round corner, regularly aligned along directions [100] and [001], and highly preferential selected microstructure is formed during the later stage of precipitation. The elastic field produced by the lattice mismatch between the coherent precipitates and the matrix has a strong influence on the coarsening kinetics, and there is no linear relationship between the cube of the average size of precipitates and the aging time, which does not agree with the results predicted by the classical Lifshitz-Slyozov-Wagner. The coarsening processes of L1₂ and DO₂₂ phases are retarded in elastically constrained system. In the concurrent system of L1₂ and DO₂₂ phases, there are two types of coarsening modes: the migration of antiphase domain boundaries and the interphase Ostwald ripening. Foundation item: Project(50671084) supported by the National Natural Science Foundation of China; Project(20070420218) supported by China Postdoctoral Science Foundation     

Coating of Fe, Ni on α-alumina microspheres by heterogeneous precipitation

1INTRODUCTION Themagneticmetal coatedceramicoxides,core shellstructuralcompositematerials,inwhichthinmetallicfilmsarecoatedonaceramicoxide matrixwithmicrometerparticlesizes,areattrac tiveduetothecombinationofthefunctionalchar acteristicsofmetalsandmechanicalpropertiesoftheceramicmatrix.Theceramic basedtransition metal coated,core shellcompositessuchasNi coatedAl2O3[1],Fe coatedAl2O3[2],FeNi coated Al2O3[3]orCoFe coatedSiO2[4],havebeenfoundtoexhibitinterestingfunctionalperformancesdue…     

The Complex of Crosslinked Chitosan with 4＇-formal Benzo-15-crown-5 and Palladium Used as Catalyst for Asymmetrie Hydrogenation of α-phenylethanone

The crosslinked chitosan was grafted by 4＇-formal benzo-15-crown-5 to obtaine crosslinked chitosan with 4＇-formal benzo- 15-crown-5（CCTS-N=CH-B- 15-C-5）. Then it was loaded with palldium chloride to gain the heterogeneous catalyst, which was easily isolated from the reaction system. The influences of the Pd content of the catalyst, solvent, and temperature on asymmetric hydrogenation of a-phenylethanone have been studied. The catalyst has been found to catalyze the hydrogenation ofa-phenylethanone into the chiral alcohol, α-phenyl ethanol under the mild condition. The optical yield of （R）- 1-phenylethanol could be obtained as 97.1% under the following conditions： temperature, 30℃; solvent, ethanol; Pd content, 1.43 mmol/g; substrate concentration, 0.02 g/mL due to the cooperative effect of crown ether and chitosan polymer. The stability of this catalyst was also studied at the same time. This chiral natural crosslinked chitosan-palladium complex catalyst could be reused without appreciable change in optical catalytic activity, which will be useful for designing crosslinked-chitosan-based adsorption for metal ions for asymmetric hydrogenation.     

Microstructural Probing of （1-x） GeS2- x Ga2S3 System Glasses By Raman Scattering

Roman scattering measurement of （ 1 - x ） GeS2-x Ga2S3 system glasses was conducted in order to understand the microstructural change caused by the addition of Ga2S3 . According to the change of Raman spectra with the addition of Ga2S3, two main structural transformations were deduced ： the gradual enhancement of ethane- like structural units S3 Ge- GeS3 （ 250 cm ^- 1） and S3 Ga- GaS3 （270 cm ^- 1 ） and the appearance of charge imbalanced units [ Ga2 S2 （ S1/2 ）4 ]^2- and [Ga（ S1/2 ）4 ]^- . And this change of structural aspect seems to give as a clue to understanding the cause of the increased rare-earth solubility.     

基于GA-ANN模型的A2/O工艺运行参数优化

影响A~2/O工艺运行的参数有许多,这些因素相互联系、相互作用,影响工艺效率.为了弥补控制单一变量法或者设计正交试验法的不足,综合考察多种运行参数对工艺运行效果的影响,建立了基于遗传算法进行全局寻优的神经网络模型(GA-ANN模型),并应用于某城市污水处理厂A~2/O工艺的运行优化.获得该厂调试运行期间154组有效监测数据后,随机选取2/3的数据用于GA-ANN模型的求解,1/3的数据用于模型的检验,对工艺运行参数进行优化,得到最佳运行参数组合.结果显示,建立基于遗传算法的神经网络模型用于A~2/O工艺运行参数的优化是可行的,可以为污水处理厂运行参数的设置提供理论参考,对调试工作、提高工艺运行效率具有一定的实际指导意义.