Considering the AGV vehicle speed difference between straight lines and curves in the process of driving,the time window model of the dynamic route planning of AGV system is established to avoid conflict for the two-way single driving lane AGV system operation scene. Taking the combination with the minimum operation cost and priority as the task generation strategy,the algorithm process for the AGV system dynamic path planning time window model is established, which provides an effective method for dynamic path planning problem for multi-AGV system collaborative operation in intelligent logistics and automated storage system under the restriction to minimize the total cost of operation. Case verification shows that this algorithm can effectively plan the path of multiple AGV cooperative operations in the system,so that the system can run at the lowest total cost and reduce the total cost of running the storage system.

The operation and scheduling of demand responsive transit is a complicated optimization control project. This paper mainly studies how to use the information conditions provided by the vehicle networking platform to study the scheduling method of demand responsive transit, so as to provide travelers with high-quality transportation services under the mode of both advance and real-time reservation. Firstly, the goal and method of dispatching are designed, then by balancing the benefits of both supply and demand, and fully considering the diversified travel needs of passengers, the static and dynamic scheduling models are established, which are obtained by genetic algorithm and precise algorithm respectively. Finally, two different types of vehicles are used to verify the effectiveness of the scheduling method and model proposed in this paper,the results show that the comprehensive benefit of the larger passenger-carrying vehicle is better, but the smaller passenger-carrying vehicle can better meet the passenger’s travel time requirements.

Distributed power stations are interconnected to form a distributed power station network. In a distributed power station network, there are also different compositional structures. These structures are small subnets, which is called distributed power station subnets. Firstly, the three basic structures including linear structure, circular structure and star structure are studied in distributed power grid network. Next each subnet of the three different structures is respectively connected to IEEE30 and IEEE57 system. It is found that in the three distributed power station subnets, when the central node of the star distributed power station subnet is connected to the power grid, the network average distance is the smallest and the network synchronizability is the best, which shows that the star structure is best suited as a substation structure of a distributed power station subnet. Subsequently, the distributed power stations are connected as a star-like BA distributed power station subnet and are connected to the grid. It is found that with the expansion of the subnet scale of the distributed power stations, the average distance of the network will increase and the synchronizability of the power grid will be weakened. Meanwhile with the increasing of edges between the distributed power station subnet and the power grid, the network average distance decreases and the network synchronizability gets better and finally tends to a stable value.

In this paper, the permanent magnet synchronous generator (PMSG) is used as the node of distributed generation system, and the permanent magnet synchronous motor (PMSM) is used as the the node of inductive load network. Chaotic oscillation synchronization control between PMSG and PMSM is studied. First, the controller is designed by studying the method of modified function projection synchronization, so that PMSG and PMSM can realize the chaotic synchronization control. Moreover, by changing some parameter values, it is found that the synchronization time can be adjusted.Then the Lyapunov function theory is used to prove the feasibility of this scheme. Finally, the numerical simulation proves the correctness and validity of the theoretical analysis results, which are of great importance to the stable operation of power network.

The traditional quad-rotor UAV active disturbance rejection controller(ADRC)requires many parameters, and the traditional PSO algorithm can effectively set the parameters of the controller, but it requires a large number of particle groups and slows down the optimization speed. In this paper, based on the traditional PSO algorithm, according to the characteristics of the ADRC, the ADRC parameters are divided into two groups, and initialized the particle groups in two spaces, and cross-optimization is carried out to form a two-space PSO algorithm. Simulation results show that, compared with the traditional PSO algorithm, the two-space PSO algorithm requires fewer particle groups and has a faster optimization speed, so the ADRC optimized by the two-space PSO algorithm has a smaller error and a faster convergence speed.

Aiming at the problem that the traditional deep convolutional neural network has poor classification accuracy and large amount of parameters, which is difficult to deploy in memory-constrained devices, a multi-scale parallel fusion lightweight convolutional neural network architecture PL-Net is proposed. Firstly, the upper output feature map is sent to two different scales of the depth separable convolution layer, and then the parallel output is cross-fused with the feature information, and with the residual learning, a parallel lightweight module PL-Module is designed. To better extract the feature information, the scale-dimensional reduction convolutional module(SR-Module) is proposed to replace the traditional pooling layer. Finally, the above two modules are stacked on each other to construct a lightweight network. In the experimental phase, training and testing are performed on the CIFAR10,Caltech 256 and 101_food data sets. The results show that compared with the traditional CNN,MobileNet-V2 and Squeezenet networks of the same scale, PL-Net improves the classification accuracy of the network while reducing the amount of network parameters, and is suitable for deployment on memory-constrained devices.

This paper proposes a new image parallel encryption algorithm aiming at the defects of some traditional image serial encryption algorithms, such as low security and long encryption time. First, the initial information of the plain image is set as an input signal of a parallel quantization scheme to generate a quantized decimal. Then the chaotic scrambling and diffusion matrix based on the chaotic system is designed, and the image data is encrypted in parallel by the confusion and diffusion structure. The algorithm is verified and implemented on the GPU of the iOS handheld device through the Metal parallel framework. The test results show that the scheme can effectively improves the image encryption efficiency, and has a high degree of sensitivity to the plaintext, which is suitable for the secure real-time communication of image data, and provides a new scheme for parallel processing of image data through the GPU.

In order to adapt to special features of microblogging data, such as short texts, low word frequency, and lack of semantic expression, improve accuracy of topic discovery, and help users obtain useful information, a method based on BTM and weighting K-Means is proposed to achieve topic discovery. Firstly, faced with the problem of data sparsity, the text model is built based on the BTM model to obtain the topic words. Secondly, aimed at defects of the traditional K-Means algorithm itself, the weighting K-Means algorithm is proposed to obtain microblogging topics. Finally, experiments are conducted to validate the method of this paper. The experimental results show that the BTM and weighting K-Means method can solve problems of high dimensionality and sparsity of microblogging data, and it improves the accuracy and effectiveness of topic discovery.

A novel modified PageRank algorithm is proposed to analyze the suspect values in gang crimes in order to find the core criminal suspects and improve the efficiency of detecting cases. The measurement of the topic correlation is used to analyze the relationship between the suspects and the cases. Moreover, the measurement of the suspects’ importance is used to analyze the status of suspects in gang crimes. The improved algorithm can effectively assist the investigators in analyzing the relationship among the members of a network, finding out the core personnel and the involved personnel in the gang crime through the sorting of suspects. The validity of the algorithm is verified by a case, which saves the time of the case-handling personnel and improves the efficiency of handling case.

Limit cycle flutter and the motion of chaos of two-dimensional airfoil with quadratic nonlinear pitching stiffness in incompressible flow on nonzero equilibrium points are investigated.The center manifold theory is used to reduce a four-dimensional system to a two-dimensional system,and the bifurcation points of the system are determined by bifurcation theory.The type and stability of bifurcation points are determined by computing focal values of system.The type of Hopf bifurcation is determined by the second Lyapunov method of bifurcation problem.The theoretical analysis presented here provides a good agreement with numerical simulations obtained by using a fourth-order Runge-Kutta method.Furthermore, the way leads to chaos in the airfoil system is found and there exits large field of the period-five motion.The results indicate that the bifurcation point is a stable weak focus, when the supercritical Hopf occurs,there exists a stable limit cycle.The motion of chaos occurs due to period-doubling bifurcation.

In this paper, based on the 3D Lorenz-like chaotic system, a linear feedback controller is designed and a new four-dimensional hyperchaos system with only two times nonlinear terms is proposed. This system has simple algebraic structure, but shows complex dynamic behavior, and it is proved theoretically that it is not equivalent to hyperchaotic Li system. In order to study the complex dynamics of the system, the stability of the system at the hyperbolic and non-hyperbolic equilibrium points is discussed in detail, and the Hopf bifurcation is strictly analyzed. The approximate expression and stability of the periodic orbit generated by the Hopf bifurcation are obtained. Furthermore, the Lyapunov exponent spectrum, Poincaré map and bifurcation diagram of the system are obtained by numerical simulation with the help of modern mathematical software, and the existence of the hyperchaotic attractor is verified.

The dynamics of a class of stochastic lattice dynamical systems with time delay driven by additive white noise is studied. X_ρ space is introduced, basic equalities, Young inequality, Gronwall inequality and Schwarz inequality are applied. The existence, uniqueness and continuous dependence on the initial data of solutions to the stochastic delay lattice equations with additive noise are presented. Then a continuous infinite dimensional random dynamical system generated by the solutions is obtained.

With increasing competition in the construction market, the level of project management becomes the key factor to the sustainable development of the construction enterprises, and effective evaluation of project management performance is essential for its continuous improvement. In this paper, the status quo of evaluating project management performance in China is comprehensively studied. The performance evaluation of construction project management system is redesigned based on the methods of balanced score card (BSC) and key performance indicator (KPI), and the evaluation index system established according to the five dimensions of economy, technology, materials, personnel and management. The improved Cov-AHP is used to determine the weight of each index, and the project is evaluated comprehensively by determining the connection degree. Finally, the feasibility of the evaluation model is verified through practical cases.

The γ-methacryloxypropyl-trimethoxysilane (MPS) was used to modify hydrophilic nano-silica to obtain MPS-SiO₂ nanoparticles, and the PMMA-SiO₂ nanoparticles were prepared by further modification of MPS-SiO₂ nanoparticles with methyl methacrylate (MMA). Results of FTIR spectra and contact angle measurement show that the surfaces of hydrophilic nano-silica are successfully grafted with MPS and MMA. In addition, Pickering emulsions were prepared based on hydrophilic nano-silica, MPS-SiO₂, PMMA-SiO₂ and hydrophobic nano-silica, respectively. The effects of the volume ratio of oil to water, the concentration of nano-silica, pH value of aqueous solution and the concentration of NaCl on the stability of Pickering emulsions were investigated. The volume fractions of residual emulsions, of which were placed for 24h and prepared with a mass fraction of 1% of hydrophilic nano-SiO₂, MPS-SiO₂ and PMMA-SiO₂, are 48%, 80% and 76%, respectively. The results indicate that the emulsifying performance of MPS-SiO₂ and PMMA-SiO₂ are better than that of hydrophilic nano-SiO₂. The optimum volume ratio of oil to water for Pickering emulsions prepared by hydrophilic nano-silica, MPS-SiO₂ and PMMA-SiO₂ are all 1∶1, while for hydrophobic nano-silica, that is 1∶2. Moreover, the emulsification properties of four kinds of nano-silica particles enhance with the increase of their concentrations. Compared with the other three nanoparticles, the stability of Pickering emulsion prepared by PMMA-SiO₂ is less affected by pH and the concentration of NaCl.

In order to study the biological activity and resource content of the sweet glycosides in the fruits of Siraitia grosvenorii and provide experimental basis for its further development and utilization, the compound of mogroside ⅡA was isolated from the fruits by column chromatography. NMR was used to analyze the spectral characteristics of mogroside ⅡA; The possible mechanism of hypoglycemia of mogroside was discussed through the determination of the inhibitory activity of α-glucosidase and antioxidant activities; And by HPLC-MS method, the content of mogroside ⅡA of Siraitia grosvenorii from different habitats were detected. As a result, this paper provides complete spectrum data for mogroside ⅡA that has not been reported; And the results showed that mogroside ⅡA had good inhibiting activity of α-glucosidase, the IC₅₀was 0.187±0.006 g/L, and the inhibiting activity showed a dose-dependent, fast, competitive and reversible features; In addition, through content analysis, it was found that the content of mogroside ⅡA of Siraitia grosvenorii produced from Yongfu township was the highest.

The fingerprint of Sauropus rostratus Miq. from different places were established to provide scientific foundation for the quality control of Sauropus rostratus Miq.. High performance of liquid chromatography(HPLC) was adopted, the separation was performed on Phenomenex (4.6 mm×250 mm, 5 μm) column, the mobile phase was acetonitrile-0.1% acetic acid solution with a gradient elution, the detection wavelength was 305 nm, the column temperature was set at 30 ℃ and the flow rate was 1 mL/min. The analysis was performed with similarity evaluation system for chromatographic fingerprint of TCM(Version 2012.1). In the fingerprint, 8 common peaks were confirmed and the similarity of 10 batches of Sauropus rostratus Miq. were above 0.9. The research could provide scientific foundation for the quality control method for Sauropus rostratus Miq..

In order to explore the effect of hormones on flower bud differentiation of Jatropha curcas L., the best hormone and concentration to induce female flower differentiation were sought to improve the ratio of male to female.The 4 year old J. curcas L. were used as the research object. 4 kinds of hormone (IAA, 6-BA, NAA, Ethephon) were used to induce the J. curcas L. in flower bud stage to determine the best hormone type and concentration ratio for the induction effect of the J. curcas L. 4 hormones have a certain effect on the female J. curcas L.: the optimum concentration of IAA is 60 mg/L,the highest induction rate for the female flower of J. curcas L. is up to 70.97%; the optimum concentration of NAA is 60 mg/L, and the highest induction rate for the female flower of J. curcas L. is up to 54.84% (mainly to inhibit the male flower differentiation and increase the male and female ratio); the optimum concentration of 6-BA is 60 mg/L, and the induction rate of J. curcas L. was 20%; the optimum concentration of Ethephon was 1 440 mg/L.The highest induction rate for female flowers was 41.94%.After IAA treatment, the fruit set rate of J. curcas L.reached 98.83%, while the seed quality was improved and the seed oil content did not increase significantly. IAA is the most suitable hormone for improving the male and female ratio of J. curcas L. with 60 mg/L. The ratio of male and female to male and male is 1∶12.0, and the rate of fruit sitting is 49.96%.

From August 2012 to October 2013, 35 infrared cameras we set in a 15 hm 2 Forest Plot and its surrounding areas of Nonggang National Nature Reserve, and the total work time of these cameras in the field added up to 12 427 days and totally 495 photos were obtained in relation to Lophura nycthemera and 381 independent photos. Three kinds of activity patterns indices （Day intensity index DII, Day behavior frequency ratio P_i, Month behavior frequency ratio P_j） were used in the research and its flocking behavior were analyzed. The results showed that: (1） Four diurnal activity peaks were observed for the individuals, and each activity peak of the females was one or two hours earlier than that of males; (2） The behavior of moving and foraging dominated the diurnal behavior of L. nycthemera, accounting for 51.33% and 37.20%, respectively, and the other four behaviors are in the order of vigilance （6.29%）, grooming（2.10%）, resting （1.68%）, conflicting （1.40%）. There were significant differences in moving （t=2.266, df=28, P=0.038） and vigilance （Z=-2.270，N=30，P=0.023） between male and female silver pheasants. (3） The frequency of foraging of the males in dry season was significantly higher than that in rainy season （t=0.252, df=13, P=0.026）, but there was no significant difference in other behavior frequency ratios between the dry season and the rainy season; （4） A flock size of L. nycthemera usually ranged 2 to 6 individuals and 2~3member flocks dominated the studied flocks up to 95.06%; (5） Femalefemale flocking, male male flocking and male female mixed flocking were three kinds of flocking patterns of L. nycthemera, and female female flocking mainly formed in rainy season, male female mixed flocking mainly happened in dry season （x²=6.984，df=1，P=0.008）. What L. nycthemera shows about activity rhythm,time budgets and flocking behavior is a kind of behavioral adaptation and survival strategy in the Karst.

In order to understand the fecundity of Pomacea canaliculata and its influencing factors, in the middle of December 2017, the egg stalks of P. canaliculata in Guilin, Guangxi, were collected and placed at room temperature for hatching experiments. The length, width and weight of the eggs mass and egg diameter were measured. Meanwhile, the total number of eggs and incubation rate were recorded. The correlations between incubation rate and these factors were analyzed, respectively. The results showed that the number of egg per egg mass in winter was 48-608, and the mean (mean±SD) was 214.14±10.45. The egg diameter was 2.31~3.32 mm, and the mean (mean±SD) was 2.69±0.018 mm. The incubation rate was 0-93.94%, and the mean (mean±SD) was 29.21%±3.12%. Among them, the hatched eggs accounted for 82.18% in winter (December-February) and 17.82% in spring (March), respectively. The results indicated that the eggs produced by P. canaliculata in winter mainly adopt winter hatching strategy. The incubation rate of P. canaliculata was significantly positively correlated with the total number of eggs (r=0.365, P<0.001), and negatively correlated with the egg diameter (r=-0.248, P=0.013). The number of eggs was the key to the incubation rate. The winter incubation rate was related to temperature (r=0.607, P=0.002). The incubation amount was decreased with time in spring.

In this study, low-temperature stress experiments on different cooling rates of Nile tilapia and Blue tilapia were carried out with artificial indoor vertical cooling mode. The mortality rates of tilapia in the different temperature and the range of median lethal temperature (LT50) and lethal action temperature of tilapia in the different cooling rate were calculated. Compared with the low temperature resistant performance of different tilapia breeding population; the 3-D surface of relation about cooling rate and mortality were fitted through the vicariate Logistic model, the ULCIZ and SIT of Nile tilapia and Blue tilapia were computed. Test results showed that the ULCIZ of Nile tilapia and Blue tilapia was 15.44 ℃ and 15.00 ℃, respectively, and the SIT of Nile tilapia and Blue tilapia was -0.038 9 h·℃and -0.104 4 h·℃.In conclusions, the low temperature resistant performance of Blue tilapia was better than Nile tilapia.

Using random sampling method from August to September in 2016, 9 body circumferences in adults, including head circumference (HDC), chest circumference(CC), abdomen circumference(AC), hip circumference (HPC), thigh circumference (TC), calf circumference (CFC), upper arm circumference (UAC), forearm circumference (FC), and biceps circumference (BC), from 239 Duerbote Monglian, 404 Fuxin Mongolian, 401 Corlos Mongolian, and 408 Kezuo Mongolian are measured, and the data are compared with that of the other 8 ethnic groups. The results are as followed: (1) The linear correlation analysis showed that there exist significantly negative correlation between some body circumferences with age in the following aspects, such as, the TC, CFC, UAC, BC and FC in the four ethnic groups in the three northeast provinces, the HDC and HC of Duerbote Mongolian and Gorlos Mongolian, femal TC of the four ethnic groups, and the CFC of Duerbote Mongolian, Kazuo Mongolian and Gorlos Mongolian. And there exists significantly positive correlation between some body circumferences with age in the following aspects, such as, female AC of the four Mongolian ethnic groups, and the CC of Fuxin Mongolian, Kazuo Mongolian and Corlos. (2) u test showed that the difference of male and female’s HDC, CC, AC, CFC, UAC, BC, and FC of the four ethnic groups in the three northeast provinces has statistical significance. These body circumference values of male are higher than that of female. And the HPC, TC of female are higher than that of male. (3) The cluster analysis shows that the body circumference values of the four ethnic groups in the three northeast provinces are very similar to each other, and are similar to that of Mongolian in Qinghai province, while male’s body circumference values of the four ethnic groups are also similar to that of Russians’.

To explore general regularity of vegetation net primary productivity change and driving factor in Guangxi, based on the remote sensing data and Soil data and digital elevation model data, statistical methods are used to compare the vegetation net primary productivity change trend in different cities, soil and altitude. The results showed that:(1)The vegetation net primary productivity fluctuated between 578.51-870.48 g·m^-2·a^-1 from 2000 to 2015 in Guangxi, showing a downward trend. The vegetation net primary productivity in Wuzhou and Fangchenggang was high. (2)The vegetation net primary productivity in 6.45% of the area of Guangxi was in severe variation state, and 65.25% of the area of vegetation net primary productivity was in moderate variation, 28.30% of the area of vegetation net primary productivity was in mild variation.(3)Vegetation net primary productivity response to temperature and precipitation was not significantly enough.(4) Vegetation net primary productivity of Red earth, Limestone soil, Skeletal soil showed a declined trend, but that of Latosol increased. (5)The net primary productivity at different altitudes varied greatly, and the overall change trend is increase-decline-increase-decline.

By using the method of intelligent clustering analysis and fast clustering analysis, and considering the two variables of natural ecological index and environmental status index value, the ecological environment quality assessment results of water conservation types in national key eco-functional areas in China in 2016 were classified and compared with the results of current index system and classification standards. In contrast, the classification standard of ecological environment quality in national key eco-functional areas was discussed. Comparing results with the current classification standard, the present classification standard has more advantages, and can directly and detailedly reflect the natural ecological status and environmental quality of counties in the water conservation function area. In conclusion, the classification standard of ecological environment quality should not be completely confined to a fixed level and numerical value, and the method of intelligent clustering and fast clustering can be used as a supplement to the current classification standard.