With the economic development in China, labor conflicts have become increasingly conspicuous. Based on the background of PRD（Pearl River Delta）region, this paper intends to apply evolutionary game theory to establish game models for employers and employees as well as employers and the government respectively, and then to identify evolutionarily stable strategies and find factors affecting the development of labor relations by solving the model, analyzing evolution chart and the related factors such as production costs, distribution of profits, revenue of betrayal and default fine, etc. According to the results of analysis, the relevant recommendations for the employees, employers, and government regulators will be posed, which are beneficial to promote stable and harmonious to labor relations.

Due to the prohibition of real estate in rural areas by policies and strong demand for housing, the small property rights housing developed from the rural co-operative financing housing in the urban marginal areas becomes very popular, which receives much academic attention. By adopting Arc-GIS10.0 and SPSS software, the paper systematically analyzes the spatial distribution of the rural co-operative financing housing and its influencing factors in Guangzhou Baiyun District in the 1990s based on spatial analysis and mathematical analysis. The result indicates that the spatial distribution of the rural co-operative financing housing presents strong traffic directivity, spatial agglomeration and regional differences. And the factors of policy, location and income contribute much to the difference of the spatial distribution in the rural co-operative financing housing.

Mechanoluminescence is a type of luminescence caused by the application of mechanical energy to solids. In this paper, powder of BaZrSi₃O₉ is synthesized by the conventional solid state reaction. Then thermoluminescence and mechanoluminescent properties are studied. Phase and crystal structure of the obtained materials can be determined by X-ray diffraction (XRD). Hence photoluminescent spectrum and mechanoluminescent measurement show that the emission peak is about 435 nm. The mechanoluminescence results present that the intensities of samples are well dependent on the stress, indicating that these mechanoluninescent materials can be potentially used as sensors to detect the dynamic visualization of stress distribution of an object. The results also suggest that the trap and the worse symmetry of crystal structure are responsible for the mechanoluninescent intensity of BaZrSi₃O₉.

Bi₂NiMnO₆ (abbreviated as BNMO) thin films grow on LaNiO₃ buffered Si(100) substrate prepared by chemical solution deposition. The structure of the thin films is characterized by X-ray diffraction, and both the ferroelectric properties and leakage current behavior are measured by ferroelectric tester at room temperature. The results suggest that they have become crystalline phases in the two samples annealed in N₂ and O₂ respectively. The ferroelectric properties appear in all samples under room temperature and the BNMO sample shows a fairly low leakage current density. Furthermore, the mechanism of electrical conductivity is also investigated in the paper.

Presently the researches on performance of GaAs solar cell using high concentrators have mainly been conducted under the condition of indoor simulating light source. However, there are few studies conducted in outdoor conditions. In this article, a small-scale Fresnel concentrating system is designed and built for experiment. Then, the system’s compositions as well as operating principles are introduced. According to the result, the geometric concentrating ratio is 500 and the radiation peak value reaches 948 W/m² at 13:00. The value of short-circuit current of a single solar cell is magnified to 253 times by using the concentrator while the value of open-circuit voltage increases by 0.34 V and the temperature of the solar cell’s back is 86.6 ℃. When shortcircuit gets the peak value, open-circuit voltage can not reach the peak value for the increase of chip’s temperature. The peak value occurs at 10：30 am and its value is 2.85 V. The open-circuit voltage has 0.03 V more than the value of radiation at peak. In this case, the temperature of the solar cell’s back reaches 74.4 ℃.

odium salt of Polyepoxy N-maleoyl-2-aminoethanesulfonic acid is synthesized from maleic anhydride and taurine via amidate, epoxidation and anion ringopening copolymerization reaction. The structure is characterized with nuclear magnetic resonance (1H-NMR), Fourier transform infrared spectroscopy (FTIR), mass spectroscopy and elemental analysis. By an orthogonal testing method, the optimized technological conditions are as follows: 95 ℃ of the reaction temperature, 6 h of the reaction time and 4% of the mass fraction of Ca(OH)₂. The synthetic copolymer P(MA-co-taurine) has excellent but controllable detergent properties. The chelation and dispersion are 326.8 mg CaCO₃/g and 124.9 mg CaCO₃/g respectively. The biodegradability of the copolymers can be demonstrated by shaking table test and the properties have been compared with other detergent builders.

In this paper, ethylenediamine-tetra-acetate diester of α, δ-(2-methyl-5-nitroimidazole-1-ethanol ) (EDTA-2MN) is synthesized from ethylenediamine-tetra-acetic acid anhydride (EDTAA) and 2-methyl-5-nitroimidazole-1-ethanol (metronidazole，MN) by microwave irradiation method. Based on the designed orthogonal experiment, the effects of the molar ratio of the reactants, reaction time and reaction temperature on the yield are investigated. The results indicate that the yield is more than 80% under the reaction condition as follows: the molar ratio of EDTAA to MN is 1∶2.5, the reaction time is 30 minutes and the reaction temperature is 110 ℃. Compared with the conventional method of esterification reaction, the distinct advantages of the microwave irradiation method are short reaction time, high yield and good repeatability. And the structure of the product is characterized by FT-IR, 1HNMR, MS and elemental analysis.

This paper discusses the stable nano-silver colloid with nano silica sol as carrier and glucose as reductant which has characteristics in structure and particle size of the sol. This synthesizing method uses thermal-UV dual curing emulsion as film-forming resin, nano-silver sol as antibacterial agents, and the design of waterborne antibacterial coatings modified by nano-silver. It also explores the effect of nano-silver sol in various mass fractions on antibacterial performance and formaldehyde degradation rate of waterborne wood coatings. The results show when mass fraction of nano-silver sol is 10%, the nano-silver antibacterial waterborne wood coatings have satisfactory performance with over 90% antibacterial rate against Escherichia coli and staphylococcus aureus. And after 48 h daylight the volatility of formaldehyde will reach 70%.

In this paper the antibacterial effect of tannin in vitro and its influencing factors are investigated. The minimal inhibitory concentration is measured through the agar dilution, and the antimicrobial properties are screened by filter disc method in food system. By using agar-comparing method, various antibacterial factors in food system such as pH value, sodium chloride concentration, sucrose concentration, metal ions and organic acids, on its bacteriostatic effect are screened. The results show that tannins have good antibacterial activities on Staphylococcus aureus and Micrococcus luteus, MIC of which is 0.39 mg/mL and 0.09 mg/mL respectively. Under the condition of acid, or under the synergism of citric acid and lactic acid, the antibacterial effects of tannic acid on food spoilage organisms increase; and the bacteriostatic effects are stable for NaCl, sucrose and metal ion. Compared with potassium sorbate, it seems to have a better effect on food and the MIC of which is lower than potassium sorbate. Tannins with organic acid together are more conducive to the antibacterial activity, which have a wide pH range. With added salt and sugar food, tannins can weaken the use of salt or sugar, and be beneficial for healthy living.

Extraction of fetal electrocardiogram (FECG) is currently focused as a prominent issue of medical research. Theoretically FECG can be extracted from the maternal abdominal recordings by conventional blind source separation algorithm. But in the complexity of the real environment, there must be with the proviso that the recordings need to meet the linear mixing model of Blind Source Separation (BSS). This problem will be more difficult in noisy environment. In view of this fact, our paper introduces a discriminant method of BSS based on FECG correlations analysis. The sparse areas of signals are found firstly, and then we can calculate the correlation values of these areas as a judging criterion on the basis of whether the recordings meet the model of BSS so that FECG can be extracted from these observations by conventional BSS methods. Finally, using this discriminant method, the researchers can obtain better performance of extraction or choose other methods which are more interesting.

High frequency oscillations have been recently proposed as a new biomarker of seizure onset zone. Marking epileptic discharge is highly time-consuming, easy to get false detection, and the relation between discharge and seizure still leaves much to define. This paper presents a fast automated detection method based on the difference of power spectral density in each channel, and similarity of filtered signal enveloped on epilepsy propagation path, and also the combination with complex Morlet wavelet transform to classify high frequency oscillations.The results obtained in 4 clinical cases show high performance in terms of sensitivity and specificity which can be considered as an effective method in preoperative localization.

In order to solve the problem of anti-interference of global positioning system (GPS) under the condition of low SNR and strong interference, this paper puts forward the combined power inversion algorithm and phase compensation of anti-interference. The method applies power inversion algorithm of the GPS signal pre-processing to accurately demodulate and further process the the phase compensation of GPS signals to improve the SNR. Simulation results show that the method can effectively restrain the interference, enhance SNR, and improve the anti-interference ability of the receiver.

As the method of measuring bubble flow from cool seeps on seafloor using acoustic transmission needs the media of homogeneity of acoustic impedance, the way of quaternary crushing bubbles is proposed and the biphase media of bubble-seawater homogenization device is designed. It includes two parts: bubble collapse and uniform distribution. The function of the biphase media of bubble-seawater homogenization device is that it can break big bubbles into small bubbles and let the small bubbles distribute evenly. The results of experiment show that the biphase media of bubble-seawater homogenization device can break the diameter of bubbles greater than 15 mm into 4 ~ 5 mm and distribute them uniformly. The rising velocity of bubble is 0.3~0.4 m/s, which can satisfy the requirement of the method of measuring bubble flow from cool seeps on seafloor using acoustic transmission.

This paper analyzes the status of open source finite element solver and commercial finite element solver. Aiming at the problem of large scale numerical computing and analysis in ship design field, a parallel transforming and transplanting mechanism of Calculix based on message passing interface (MPI) is proposed. Combined with high-performance computing capabilities of supercomputer, an efficient and rapid technological solution is found. On the condition of matching the pre and post processing files analyzed by other commercial finite element software, computational analysis uses the method of multi-state and multi-node parallel computation on supercomputer. Hence a ship fatigue strength parallel computation analysis platform is established, and the practical testing examples and results show that the parallel mechanism greatly reduces the computation time.

The dynamics and uncertainties in production logistics process of made-to-order (MTO) manufacturing enterprises make the configuration of production logistics transportation resources difficult. This paper proposes an optimal configuration method whose object is to minimize the total operating cost of the production logistics system in consideration of the dynamics and uncertainties of production logistics requirements of manufacturing enterprise in the whole year, replaceability of logistic transportation resources and the constraints of working hours. In a case study, the optimal genetic algorithm is used to solve the configuration formulation and proves quite effective.

In this paper, a new comparison principle for stochastic functional differential equations with infinite delay is established. Then, using this comparison principle, the researchers obtain (h₀,h)-stability for this kind of equations.

Wireless sensor networks consist of small battery-powered devices with limited energy resources. Hence, energy reduction of sensor nodes and the lifetime prolonging of the network are the focuses of wireless sensor networks routing protocol. LEACH (Low-Energy Adaptive Clustering Hierarchy) is a clustering-based protocol that utilizes randomized rotation of local cluster base stations (cluster-heads) to evenly distribute the energy load among the sensors in the network. However, LEACH is inappropriate in the selection of cluster heads, inducing the imbalance of energy over sensor nodes. In order to make the process of selecting cluster heads more reasonable and more flexible, in this paper, the node’s properties (such as the residual energy and position distribution of sensor nodes) are defined as the constraints. The authors take a rolebased collaboration model (i.e., E-CARGO model) with constraints into the wireless sensor networks system modeling, and improve LEACH from the mechanism view by considering the constraints of sensor nodes and using LEACH algorithm assign roles to them. Analysis shows that the new method has better scalability and flexibility. Experimental results present that this new method can effectively balance the sensor node energy consumption and prolong the lifetime of network.

In order to overcome the slow convergence, low precision and local optimum of basic artificial fish swarm algorithm(AFSA), this paper proposes a novel artificial fish swarm algorithm. This algorithm takes advantage of individual learning ability and social learning ability of particles in artificial fish swarm and particle swarm, simulates the speed and position of particles in particle swarm to update and modify the formulas of foraging, grouping and tailing. It then experiments five typical testing functions, analyzes the optimization precision, convergence speed and stability of the algorithm. The results turn out that the improved algorithm has stronger convergence, more stability and better performance.

ZigBee protocol uses the combination of AODVjr and Cluster-Tree algorithm as its own routing algorithm (ZBR). But the routing algorithm does not combine the advantages of both ones so it leaves little possibility to improve the performance of network. In order to solve the problem, this paper proposes an algorithm which combines the advantages of AODVjr and Cluster-Tree routing algorithm, i.e. ACZBR algorithm. This algorithm uses Cluster-Tree algorithm within cluster and uses AODVjr algorithm between clusters. Meanwhile, in order to avoid dead nodes caused by excessive energy consumption of cluster-head nodes, this algorithm uses a cluster-head adaptive switching strategy to ensure the network performance. The simulation result shows that the ZBR algorithm has greatly improved the performance of network lifetime, packet loss rate, delay and etc.

Since the parameters in control system models are usually unknown in industrial applications, this paper tries to identify the system parameters by using the modified recursive prediction error algorithm for neural networks, and then design a self tuning PID controller via the pole-assignment method. Compared with the neural network identification based on the gradient learning algorithm and conventional PID, the method in this paper has simple structure of parameters, sustainable adjustment of neuron weights and quick calculation speed. Furthermore, this digital PID controller also enjoys good performance and easy application. And the simulation results verify that the effectiveness of this identification algorithm as well as the controller in this paper.

Multicast has wide applications in distributed interactive applications, online games, streaming media and etc.To meet the application layer multicast QoS requirement, this paper builds a multi-constrained application layer multicast tree model and tries to find the optimal spanning tree based on genetic algorithm and dichromatic coding. The algorithm can meet the real-time requirement and node load limit as well as minimize network resource consumption and take full advantage of network resources. It turns out to be featured by fast convergence and high reliability.

This article discusses the existence of minimal elements of cone lower semi-continuous mapping in ordered space. The researchers obtain two results on the existence of minimal elements and the smallest elements of such functions. It also points out that a cone-semicompact set raised by H.W.Corley is not a necessarily closed set.

In order to solve the problem of positioning blind areas in case of sparse nodes, an improved self-localization algorithm of wireless sensors network is proposed based on the traditional AOA algorithm (triangulation method). By applying this new algorithm, the unknown node needs only one neighbor anchor node before realizing the positioning when the angle of the node’s baseline and the absolute coordinate axis is given. Simulation experiments prove that on the condition of the same amount of nodes the improved self-localization algorithm of wireless sensor network enjoys higher positioning efficiency and lower average localization error compared with the traditional AOA algorithm. Therefore, the improved algorithm is applicable in the network environment of sparse nodes.

A fast algorithm based on interlaced extracting modes, statistics of pixel gradient and residual of sub-CU for intra prediction in High Efficiency Video Coding (HEVC) is presented in this paper. Corresponding to 33 intra angle modes in HEVC, gradient directions are divided into 33 classes. And gradient direction of every pixel in a CU is calculated. Angle modes with even number are calculated and ranked firstly, then the set of candidate mode is gained by fast comparison. According to the cumulative number of pixels in every class of gradient direction, some candidate modes can be rejected. When calculating Hadamard Transform predicted residual (SATD) of current PU, SATDs of the four sub-PUs are noted. According the relative ratio of them, the traversal calculation of next depth of current PU is rejected. Experimental results show that, compared with HM13.0, the proposed method performs about 54% time saving of intra encoding with only 1% increment on the total rate.

Aiming at the problems of large scale numerical computing and analysis in ship strength fatigue analysis, this paper presents an improved mechanism with optimized pretreatment of linear equation group iteration at open-source finite element solver Calculix in National Supercomputing Center in Guangzhou. It can resolve the multi-row double threshold incomplete decomposition based on column pivoting and the incomplete LU decomposition proves to proceed. Hence the prototype system has been developed in the center. And the practical experiments and testing results show that the computing time of ship strength fatigue analysis can be reduced effectively.

According to the randomness of determining the order of the classical Gaussian Mixture Model (GMM), affinity propagation(AP) clustering is recommended to get the order of GMM automatically. A method is proposed to recognize the speakers by applying both AP and GMM. Firstly, the speech feature parameters are extracted by combining the Mel frequency cepstrum coefficient (MFCC) with the differential cepstrum. Secondly, the affinity propagation clustering (AP clustering) method is used as the clustering of the speech feature parameters, and then the best steps of GMM are obtained automatically. On this basis, GMM model is trained. Finally, the trained GMM is used for recognizing experiment of speakers on Timit standard speech library and self-made network volunteers’ speech library. The experiment results are: the test results are 100% on Timit standard speech library and 97.6% on self-made network volunteers’ speech library in case of obtaining the order of GMM by AP clustering algorithm. There are 168 samples for training which contain 10 Chaoshan samples and 10 Hunan samples and 42 samples for testing on self-made network volunteers’ speech library. The experiment results show that the recommended AP clustering algorithm to get the order of GMM automatically can improve the accuracy and efficiency of speaker recognition significantly.

An approach is proposed to obtain the dictionary capacity of bag of words(BoW) model efficiently, which is combined with The Latent Dirichlet Allocation (LDA) model to analyze the performance of scene category. Based on the feature matrix of scene image data sets constructed by SIFT feature, the affinity propagation method is firstly employed to obtain the clustering numbers, and to take the minimal clustering number as the visual dictionary capacity before generating a visual dictionary. Secondly, the scene training and testing sets are described by these visual words. Finally, the LDA model is employed to classify the testing data set. The experiments show that the proposed approach in this paper maintains higher accuracy of scene classification and can improve efficiency greatly.