Abstract:A finite element dynamic model for plates with active constrained layer damping (ACLD) treatments is derived based on the constitutive equations of elastic, viscoelastic and piezoelectric materials by application of Hamilton principle. The closedloop control system considering displacement and velocity feedback of selfsensing voltage from sensor layer is developed. The dynamic behaviors of active constrained layer damping (ACLD) plates including nature frequencies, loss factors and responses in frequency domain are investigated. The influence of control gains on vibration suppression is discussed. Numerical examples demonstrate the validity of the finite element model and the control strategy approach. The proposed control strategy can be widely used to structure vibration control with ACLD patches due to its simple scheme and easy implementation.

Abstract:Quality Characteristics (QC) are divided into product planning QCs ,conceptual design QCs, detailed design QCs and manufacturing QCs. A kind of progressive reflectingrelationship of four stages QCs has been established by using Voice of the Customer(VOC) specifications as the input indicators. Through the statistics methods of Artificial Neural Networks (ANNs), the relative importance of technical specifications of VOC and the reflecting weights of each level are obtained. An extraction model of the key quality characteristics of complicated mechanical and electrical products based on ANNs technology is formulated. The model can avoid putting nonkey controlling QCs as key controlling ones in the process of manufacturing and vice versa. The correctness and effectiveness of the model are verified by application examples.

Abstract:The high cost of gridconnected photovoltaic (PV) system is an important reason that hinders its market application. The control cost can be partly cut down by using sensorless Maximum Power Point Tracking (MPPT). However, the sensorless MPPT control proposed by previous literatures has drawbacks of poor estimation accuracy, bad realtime performance, and poor dynamic responses, which has great impact on the MPPT and the output performance of the whole system. Aiming at these problems, an Adaptive Sliding Mode Observer (ASMO) for estimation of photovoltaic array voltage is proposed. The external disturbance and modeling errors are suppressed while the realtime performance and the estimation accuracy are improved greatly by the proposed method. The favorable performance of the output performance and MPPT performance of the PV system based on the ASMO are validated by simulation and experimental results.

Abstract:Current solutions solve each component's gas concentration by multiequation inverse calculation, which has disadvantage of introducing parameter errors like noise, constant pool, etc. Based on the photoacoustic spectroscopy detection principle, a novel method for photoacoustic spectroscopy quantitative analysis is proposed using least square regression, and a quantitative analysis model is constructed. Using this method in inverse calculation of the gas concentration can avoid introducing parameter errors. The analysis model is verified by the experiment on the acetylene and methane dissolved in the transformer oil.

Abstract:An extensive analysis on the existing results for the stability of TakagiSugeno fuzzy control is given. For the Lyapunov functions, the common quadratic Lyapunov functions, piecewise quadratic Lyapunov functions, fuzzy Lyapunov functions, nonquadratic Lyapunov functions and homogenously polynomially parameterized Lyapunov functions are considered. For the control laws, the parallel distributed compensation laws, nonparallel distributed compensation laws and homogenously polynomially parameterized control laws are considered. Based on the analysis, by applying the Polya's theorem and the techniques for homogenous polynomials, the approaches for approximating the necessary and sufficient conditions for stability of TS fuzzy control are given.

Abstract:The general framework and security demands of digital enterprises are analyzed. The information security system is constructed, which includes physical security, network security, support layer system security, application layer system security, data and documents security. Aiming at the security of internal information security such as data and documents, a comprehensive solution including identity authentication, centralized equipments control, document security management, document encryption, and security audit are put forward. Based on the above information security system, an implementation scheme for typical digital enterprise is proposed.

Abstract:It is a typical illposed inverse heat conduction problem to estimate the geometry boundary of the inner surface of pipe by the temperature of outer surface. With the establishment of a twodimensional steady model for pipe with irregular inner surface, the inverse problem is transformed into a direct problem and an optimization problem. Based on the temperature at the outer surface obtained from the infrared thermography and the variation of the object function, the conjugate gradient method (CGM) is introduced into the geometry problem. With the numerical analysis of three typical defects, the effects of the measurement errors, choice of the initial value, boundary conditions and number of discrete temperature points are discussed and the proposed methodology is approved.

Abstract:In view of the reliability and the efficiency of the remote control systems for Electric Power Equipment, a remote control system is proposed in which the control information interacts by low voltage power network communication. Low voltage power network is used as the channel for control information of Electric Power Equipment. The MSK modulation and demodulation technology that is seasoned with the channel characteristics of low voltage power network were selected, while the theory of MSK is analyzed，and the remote control system model to Electric Power Equipment based on low voltage power network communication with MSK and Programmable Logic Controller is constructed. The remote control system for Electric Power Equipment is manufactured based on the model. Theoretical analysis and experimental results show that MSK can satisfy the channel characteristics of low voltage power network, realize reliable transmission of the remote control signals, and improve the reliability of the remote control system while decrease the cost.

Abstract:Customer involvement in product innovation can improve design efficiency effectively. Identifying customer knowledge quickly and applying it into the process of product design can enhance the product design capability of manufacturing enterprise. Rough set theory is used to simplify the variety of customer knowledge and identify the important customer knowledge. In order to select the customer with great contribution, a customer knowledge contribution measurement model based on Fuzzy Analytic Hierarchy Process and Shapley (FAHPS) is proposed to determine the importance weights of customer knowledge and member influence weights in group decision. An example is presented to illustrate the effectiveness of this model.

Abstract:A kind of smallscale wind tunnel with lowvelocity is proposed according to the characteristics of strong ionization discharge chamber and the demands of discharge for flux, velocity and flow fields. On the precondition that the airflow field and velocity is satisfied, aerodynamic design and structural design are carried out. Key techniques are studied including overall structure, aerodynamic and structural design of airflow vent and collection vent, aerodynamic and structural design of power section, flow rate adjustment and control, and cooling system of motor. Based on the design scheme, a smallscale wind tunnel with strong ionization discharge for an enterprise is developed. Application indicates that the smallscale wind tunnel is a practical and effective airflow loop device for high pressure and strong ionization discharge with the features of stability and reliability.

Abstract:Aiming at the problem of dependability validation in the distributed realtime systems, the universal fault model is established, which is classified into four groups: memory fault, CPU fault, communication fault, and service fault. A software implemented fault injection architecture (SWIFIA) for the distributed realtime systems is proposed, which is classified into three levels: target system, communication network, and software implemented fault injection system (SWIFIS). The SWIFIS is designed with three parts: software implemented fault injector, data collection module, and fault data analysis module. The process of software implemented fault injection based on the architecture is illustrated. SWIFIS is implemented and analyzed with experiments. The major faults detected in the experiments are communication faults, memory faults, and CPU faults while the coverage rates were 37.68%, 15.47%, and 15.17%, respectively. The experimental results demonstrate that this architecture is suitable for the applications under distributed realtime environment. They offer theoretical base and evidence for further research of software dependability validation.

Abstract:It is very essential to extract representative frames in the process of generating video summary. A method is proposed which analyses the color features of the video frames, sets the connectivity threshold values automatically according to the contents, extracts the color coherence vectors (CCV) and then performs adaptive clustering based on equivalent relation. After global partition, local partition was revised with time sequential features. The whole process does not need to set any threshold values. The experiments with diverse videos yields effective results.

Abstract:Linux virtual server (LVS) can establish a server cluster based on Linux with high availability, high capability, high reliabilities and scalability, while the weights of the weighted scheduling algorithm for the cluster load balancing system in LVS is static. Without the dynamic adjusting mechanism, the task can not been assigned dynamically according to the servers’ real capabilities. A dynamic load balancing algorithm (Multiplicative Regression in Critical Area，MRC) is introduced to adjust weights of the servers dynamically. The MRC algorithm calculates the load ratios and distributed weights according to the realtime feedback information from the real servers, and introduces the threshold regression factors to schedule tasks for web server cluster to achieve load balance. The method improves server's efficiency and the capability of the whole system. The method is applied to web server cluster systems based on Linux virtual server. The experimental results show that the algorithm can achieve realtime feedback of the load information, dynamic load scheduling, and achieve dynamic load balance in a whole, which improves the server utilization efficiency and the capability of the whole system.

Abstract:Based on the evolution pattern of slope deformation and failure, stability status of a slope is evaluated through analyzing the data of GPS monitoring. A neuralnetwork model of slope displacementtime is developed based on the GPS monitoring data. It can be used to forecast slope deformation trends. A neuralnetwork displacement prediction model of slope deformation is proposed with Matlab ANN toolbox. Upon a case study, the ANN prediction results based on GPS monitoring data are analyzed.

Abstract:The characteristics of pyrolysis and combustion of low quality mixing coal are investigated by thermogravimetry, in which the coal is mixed by washed coal gangue and washed middling coal. The ignition temperature, burnout temperature, comprehensive combustion parameters and burnout parameters are obtained. The activation energy frequency factor of samples are acquired by analyzing combustion kinetics. It is found that the ignition temperature is 473 ℃ and the burnout temperature is 670 ℃. The activation energy is about 232.55 kJ/mol and the volatile matter is separated out from 415 ℃.

Abstract:Most of the previous studies on corrosion of the steel bar in reinforced concrete structures is based on the assumption that the bar is uniformly corroded. The actual measurement in projects proved that most of the reinforcement bar is in nonuniform corrosion state. Based on electrochemical principles of metal corrosion and combined with the real corrosion course of the bar in concrete structures, a theoretical model of the contour line of reinforcement bar due to nonuniform corrosion is established, through deducing the speed of corrosion and theoretical corrosion penetration and volume changes due to corrosion of reinforcement in general air at different position and different time. At the same time, the model is verified with the results from relative references and measured data.

Abstract:In order to improve the recognition rate of face recognition algorithm, a new algorithm of face recognition is proposed based on Gabor wavelet transform and Supervised Locally Linear Embedding (SLLE). Gabor wavelet is introduced as a method to extract Gabor magnitude features by convolving the normalized face image with multiscale and multiorientation Gabor filters. In the feature extraction module, the dimension of Gabor features is reduced by SLLE. A minimumdistance classifier is trained for classification. With the test of the ORL and YALE face database, it is found that 3.5 %~37.8% increase in recognition rate can be achieved compared with other algorithms.

Abstract:The input and output samples for the network are determined through random function and preprocessed with scaling in interval (0.2, 0.8). The neutral units in the hidden layer is decided by the trialanderror method and an a model of artificial neural network(ANN) with a structure of 7∶8∶1 are established for the assessment of environment quality of urban soils. BPANN model is simulated through programming in Matlab 6.0. It is found that the BPANN model is reliable for assessing accurately and objectively the environment quality of the urban soils. With Changchun as a case study, it is concluded that the environment quality of urban topsoil is generally good and about 81% of the area reached the first level of national environmental quality standard for soils. It should be mentioned that the heavy metals pollution in local area is serious and should not be neglected, and some effective control measures of reducing heavy metal pollutants discharges should be put forward to ensure the sustainable use of urban soil resources.

Abstract:In order to improve combustion efficiency of natural gas(NG) and reduce pollution emission in nature gas engine, additional injection of hydrogen peroxide (H2O2) into the premix chamber is proposed. With the test of CO, HC and NOx concentration, exhaust temperature, NG consumption etc., it is found that the emission of HC、CO and NOx decreased and the dynamic and economic performance of CNG engine is improved. H2O2 can make reduction of the combustion temperature while increase of the oxygen concentration. The pivot factors affecting NOx emission are temperature and oxygen concentration. The optimum mass proportion of nature gas and H2O2 is between 4.5 and 5.8 for NG consumption and pollution emission.

Abstract:The influence of blasting vibration on the adjacent buildings is inevitable if blasting is employed for excavation. Daping station tunnel of Chongqing light railway project, on which there is dense with population and buildings, has a minimum buried depth of only four meters and maximum span length of 26.3 meters. The stepped excavation mode with shorthole, multiround and Vshaped cut are adopted. The maximum charge weight of one delayed interval is determined by the permitted vibration velocity. The smooth blasting technology with adding vibrationreduction holes is used. Meanwhile, the charge weight per hole is strictly controlled. With the simulation and onsite test, it is found that the proposed technology for tunnel construction is feasible.

Abstract:An image edge detection algorithm in fuzzy domain is proposed, which combines adaptive fuzzy enhancement and multidirection fuzzy morphology to detect the edges of fuzzy image. The adaptive fuzzy enhancement method enhances the fuzzy image within blocks with sliding windows to avoid losses of the real edges resulting from enhancing with single threshold for the whole image and lead strong adaptive ability to image region variance. The multidirection fuzzy mathematical morphology operates on the enhanced fuzzy image with structure elements of multiple different directions to extract the real edges with directionality and restrain non directional noise. Experiments show the algorithm can detect fuzzy image edge effectively with strong antinoise ability.

Abstract:Medical images usually contain much noise which affects the edge detection accuracy. Focusing on this problem, based on the edge detection operator in mathematical morphology, an improved edge detection algorithm is presented by combining the features of the multistructure elements and the multiscale edge detection algorithm. The algorithm performs opening and closing operations on the data with the alternative sequence filters and the structure elements. The weighting operation is applied with different weight coefficients for horizontal, vertical and diagonal directions, while the edge detection operator with dilation type is calculated to obtain the improved edge detection algorithm. The steps of the algorithm are described. The algorithm is used to extract the edge of MRI image as well as the image of Lena. The experimental results indicate the algorithm can considerably improve the edge resolution of the traditional morphological edge detection methods and is practical.

Abstract:In order to improve the node localization precision of RangeFreebased DVHop localization algorithm in wireless sensor networks (WSNs) with randomly distributed nodes and dynamic topology, the improved algorithm is proposed. After analyzing the DVHop algorithm, considering the obvious errors of the estimated node coordinates calculated by Polygonbased method in traditional DVHop algorithm, the numerical iterative algorithm is constructed by employing Taylor series expansion, and simulation studies for the improved DVHop algorithm are conducted. The selection criteria for the convergent threshold of iterative step is determined, the localization performance of the improved localization algorithm is analyzed by comparing with the traditional DVHop algorithm under the same condition of selected convergent threshold and simulation parameters, while the calculation amount and convergence rate of the improved algorithm are also measured by the statistic iterations. The simulation results show that by selecting reasonable iterative threshold values and appropriately increasing calculation amount for node localization, the improved DVHop localization algorithm greatly improves the localization precision and the error stability, which is feasible for node localization in WSNs with both randomly distributed nodes and dynamic topology.