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This paper studies the dynamic time-varying formation control of multi-agent systems. Aiming at the unmanned vehicle systems, based on the static time-varying formation in literature [18], a multi-agent dynamic time-varying formation control based on consistency is put forward. Additionally, the sufficient conditions for the agreement and the steps for solving the control parameters are given. The simulation is conducted to prove the effectiveness and robustness of the theoretical results.

This paper was retracted by IOP Publishing on 12 December 2018. This paper was published due to a technical error and was not intended to be included in this journal. Retraction published: 8 February 2019

Under the development goal of “Carbon Peak, Carbon Neutralization”, the concept of novel power system is proposed. Its representative features include AC/DC interconnection of power grid and large-scale access of new energy power stations. Under these characteristics, higher requirements are put forward for the short-circuit current breaking capacity of the circuit breaker. The DC component of short-circuit current and the injection of new energy into the system short-circuit current cannot be ignored. Based on the 330kV local power grid in Northwest China, this paper studies the power grid operation mode, DC component of short-circuit current and the influence of photovoltaic power station on short-circuit current. The influence law of DC component of short-circuit current on the actual breaking capacity of circuit breaker and access of photovoltaic power station on the short-circuit current are summarized. It can provide a theoretical basis for the selection of circuit breaker in novel power system.

Aiming at the limited switching frequency of traditional silicon (Si) based devices and its huge switching loss when working under the high-frequency conditions, this paper proposes a synchronous buck converter based on GaN power devices with good switching performance and low loss. In this paper, the detailed parameter design method and simulation circuit were given. This paper also conducts thermal stability analysis. Finally, the simulation experiment proves the feasibility and effectiveness of this theory.

Due to the increasing share of wind energy in electricity generation, wind turbines have to fulfil additional requirements in the context of grid integration. The paper examines to which extent wind turbines can provide positive control power following the related grid code. The additional power has to be obtained from the rotating flywheel mass of the wind turbine's rotor. A simple physical model is developed that allows to draw conclusions about appropriate concepts by means of a dynamic simulation of the variables rotational speed, torque, power output and rotor power. The paper discusses scenarios to provide control power. The supply of control power at partial load is examined in detail using simulations. Under partial load conditions control power can be fed into the grid for a short time. Thereby the rotational speed drops so that aerodynamic efficiency decreases and feed-in power is below the initial value after the control process. In this way an unfavourable situation for the grid control is produced, therefore the paper proposes a modified partial load condition with a higher rotational speed. By providing primary control power the rotor is delayed to the optimum rotational speed so that more rotational energy can be fed in and fed-in power can be increased persistently. However, as the rotor does not operate at optimum speed, a small amount of the energy yield is lost. Finally, the paper shows that a wind farm can combine these two concepts: A part of the wind turbines work under modified partial load conditions can compensate the decrease of power of the wind turbines working under partial load conditions. Therefore the requested control power is provided and afterwards the original value of power is maintained.

Visualization and measurement of airflow detail structures is a difficult problem. In the past few years, high-speed DPIV has been used to capture the vortex structures on flapping robotic insect wings. Due to the inherent limitation in DPIV technique, important airflow activity in small scale vortical flow structures may be missed. In this paper, high-speed Schlieren photography was applied to vortical flow Visualization on a flapping robotic insect wings and then provided more information of vortical flow structures in detail. Based on the Schlieren image, quantified velocity vectors field was obtained by applying the variational optical flow method, which is able to be extending the potential applications to development flapping wings aircraft.

The paper considers a cellular automaton approach to modeling physical processes, in particular, the diffusion of pulsed periodic gas discharges in plasma. An attempt to determine the dependence of the probability of the block rotation on the diffusion coefficient for a cellular automaton diffusion model with a Margolus neighborhood is describe. Some features of the tensor approach to the implementation of random block cellular automata are described. The results of computer experiments are presented. The analysis of this results indicates that the data from the literature sources differ from the data obtained during the experiment.

At present, the research hotspot of switched reluctance motor is to realize the accurate control of motor without position sensor. Among many control methods, the phase inductance slope method is concerned by researchers because it does not need to add additional power supply circuit, and does not need to calculate the flux linkage and inductance curve in advance. Aiming at the defect that the phase inductance slope algorithm can not advance the opening angle and the position signal error is easy to appear near the opening angle, this paper makes an improvement and verifies the experiment.

The application of tunnel robots in power tunnels is becoming more and more extensive. Due to various reasons, video jitter will inevitably occur during the inspection process, which will affect the real-time processing of subsequent images. In order to reduce the impact of video jitter and meet the requirements of real-time image processing, it is necessary to study fast video image stabilization methods. The traditional Kalman filtering algorithm has less computational cost, but it will cause a large estimation error when the system motion state changes. In this regard, the paper proposes an improved Kalman filtering algorithm, which changes the corresponding filter parameters by real-time estimation of a system in motion to reduce the estimation error. And this algorithm performs Harris corner extraction in the set feature dense area, and combines the PyrLK optical flow algorithm with the homography matrix to calculate the motion trajectory, which improves the calculation speed and accuracy of the algorithm. Experimental results show that this algorithm has better video stabilization effect and faster calculation speed compared with the traditional Kalman filtering algorithm, and can better meet the real-time image processing requirements in the inspection process.

This paper discusses and analyzes the product thinking, system concept and future development of the ecological design. The research on the core issues of ecological design aesthetics focuses on dealing with good people and products. Although design also requires freedom of creation and subjective expression, such freedom and expression are limited and must meet the objective requirements.

The redistribution of the total temperature between the parts of the gas stream flowing through the Leontiev tube depends not only on the temperature recovery factor (Prandtl number) and the ratio of flows through the supersonic and subsonic channels of the tube (Mach numbers), but also on the thermal resistance of the separation wall. Earlier it has been shown that the reduction of thermal resistance due to the separation wall finning on the side of the subsonic flow leads to an increase in the efficiency of energy separation. It may be assumed that the intensification of heat exchange between channels, due to finning, reduces the length of the tube, which at the same intensity of heat exchange leads to a decrease in pressure losses and an additional increase in efficiency. This paper presents the results of numerical simulation of energy separation in Leontiev tubes with a finned separation wall and different lengths of supersonic nozzle. It is shown that the adiabatic efficiency of the energy separation in a short Leontiev tube with a finned wall increases when the outlet pressure decreases, while it does not change for smooth tubes.

Micro Fabry-Perot cavity tunable filters are widely applied in the area of Pushbroom Hyperspectral imaging, DWDM optical communication system and self-adaptive optics. With small volume, lower consumption and cost, the Micro Fabry-Perot cavity tunable filter can realize superior response speed, large spectral range, high definition and high reliability. By deposition metal membrane on silicon chip by MEMS technology, the micro Fabry-Perot cavity has been achieved, which is actuated by electrostatic force and can realize the function of an optical filter. In this paper, the micro-bridge structure of the micro Fabry-Perot cavity tunable filter has been studied. Finite element analysis software COMSOL Multiphysics has been adopted to design the structure of the micro-bridge of the micro filter. In order to simulate the working mechanism of the micro Fabry-Perot cavity and study the electrical and mechanical characteristics of the micro tunable filter,the static and dynamic characteriastics are analyzed, such as stress, displacement, transient response, etc. The corresponding parameters of the structure are considered as well by optimizition the filter's sustain structure.

In this paper, three kinds of silicone rubber materials, methyl silicone rubber, phenyl silicone rubber and fluorosilicone rubber, are used as the research object, contact angle tester, thermal conductivity tester, insulation resistance tester, differential scanning calorimeter and thermogravimetric analyzer to explore the effect of side groups on the properties of silicone rubber. The results show that the thermal conductivity of three kinds of silicone rubber materials is poor, but they all have good hydrophobicity, insulation and thermal stability. Among them, phenyl silicone rubber shows better hydrophobicity and thermal stability. In addition, the type and relative content of characteristic gases of thermal decomposition of silicone rubber materials at different temperatures are analyzed in detail by gas chromatography mass spectrometer. The results show that C6H18O3Si3 and C8H24O4Si4 are the common characteristic gases of thermal decomposition of three kinds of silicone rubber.

Industrial process anomaly detection mechanisms have been proposed to protect industrial control system to minimize the risk of damage or loss of resources. In this paper, an one-class Support Vector Machine based extended boundary (EB-OSCVM) is used to detect anomalies in industrial multivariate time series data from a simulated Tennessee Eastman Process (TEP) with many cyber attacks. In detail, determine the change points of each process variable and capture the causality relationship between the variables based on the location and time delay of the change points. Then, by monitoring the leaf nodes in the causality graph, we can know whether the system is abnormal, it can effectively reduce the dimension of process data. The EB-OSCVM extend classification boundary of OCSVM in order to reduce the error of noise, if data is outside the boundary of EB-OCSVM, there is an anomaly. Finally, tracing the anomaly source according to causal direction. An experiment is used to verify the effectiveness of the proposed approach, the results demonstrate that the approach presents a high-accuracy solution and traces the source of anomaly correctly.

Spectacular trends in the modification of the Xe 5s photoionization via interchannel coupling with confinement resonances emerging in the Xe 4d giant resonance upon photoionization of the Xe@C60, Xe@C240 and Xe@C60@C240 endo-fullerenes are theoretically unraveled and interpreted., Comment: 1 page, 1 figure. 2011 International Conference on Photonic, Electronic, and Atomic Collisions (Belfast, UK, 2011). Paper number We158

Based on the perspective of ITT, the development of cross border e-commerce (hereinafter referred to as CBEC) is directly related to many industries, which promotes the employment and development of many industries, such as logistics, it, production, etc. Therefore, CBEC accounts for a large proportion in economic development. With the improvement of e-commerce platform, the traditional international trade (hereinafter referred to as ITT) has gradually changed to CBEC. In the perspective of ITT, the “Internet plus foreign trade” CBEC is a modern sales way, which caters to the characteristics of the fragmentation of sales orders and the individualization of product demand. Therefore, the average annual growth rate of CBEC in China exceeds 30%, which has become a new direction of ITT transformation and upgrading. Through CBEC, ITT has broken through the limitation of time and space, which has gradually reduced transaction costs. Therefore, computer CBEC has a positive impact on ITT. First of all, this paper analyzes the role of CBEC development. Then, this paper puts forward some problems. Finally, some suggestions are put forward.

The PRORYV (i.e. «Breakthrough» in Russian) project is currently under development. Within the framework of this project, fast reactors BN-1200 and BREST-OD-300 should be built to, inter alia, demonstrate possibility of the closed nuclear fuel cycle technologies with plutonium as a main source of power. Russia has a large inventory of plutonium which was accumulated in the result of reprocessing of spent fuel of thermal power reactors and conversion of nuclear weapons. This kind of plutonium will be used for development of initial fuel assemblies for fast reactors. To solve the closed nuclear fuel modeling tasks REPRORYV code was developed. It simulates the mass flow for nuclides in the closed fuel cycle. This paper presents the results of modeling of a closed nuclear fuel cycle, nuclide flows considering the influence of the uncertainty on the outcome of neutron-physical characteristics of the reactor.

This paper aims at the tourist route planning of 47 scenic spots faced by tourists when traveling in Chongqing. The route distance and transportation cost of tourists during travel are taken into account and the optimal planning of tourist routes are recommended to meet their personal needs. First, the coordinates of longitude and latitude of each attraction and the transportation costs between the attractions are collected. Second, the distance target and transportation cost target are combined into a combined target by using the weighting coefficient method. Finally, the optimal solution of the combined target was solved by the genetic algorithm. The result obtained is that when only the cost is considered, the distance of 47 attractions is 2257.76 kilometers and the transportation cost is 2866.2 yuan. While only the distance is analyzed, the above two values are 1426.68 kilometers and 4931.18 yuan, respectively.

The frequency based substructuring (FBS) method allows the combination between the experimental and analytical frequency response function (FRF). The combined FRF is then used for calculation of the dynamic behaviour of an assembled structure which usually consists of a large number structural components or substructures. However, the accuracy of the dynamic behaviour calculated using the FBS method relies heavily on the quality of experimental FRF data of the interfaces on which, in practice, it is very problematic to be attained. Furthermore, in most cases, some parts of rotational FRF data are not included in the FBS method due to the complex measurement process. The exclusion of the rotational FRF data will usually lead to numerous errors in the combined FRF data. Therefore, this paper proposes a new frequency response function (FRF) coupling of the FBS method that may uniquely address the difficulties and improve the quality of predicted results of the FBS method. The proposed coupling was formulated based on the finite element method, model updating method and FRF synthesize method. The finite element model of the physical test substructure was developed and reconciled based on the mode shapes obtained from experimental modal analysis. The FRF synthesize method was performed on the updated finite element model to obtain a complete matrix with a full degree of freedom FRF data containing all the translational and rotational FRF data required. It was found that the proposed coupling has allowed generating full translational and rotational FRF data. The generation has improved significantly the FRF coupling process and the quality of the predicted dynamic behaviour of the FBS method.

Indonesia is located in the ring of fire zone. It causes a high risk of disaster threats. Volcanoes and earthquakes are unpredictable sources of natural disaster in a massive size, which many times caused an inaccessible area. We need to prepare how to overcome this situation. Quadrotor is an aerial vehicle that can access the disaster location easily and passing through many obstacles. Its autonomous ability can increase searching efficiency. Object detection will be a primary parameter which responsible to move the quadrotor. In this paper, we proposed to use cascaded Canny Edge with SURF clarified with SIFT to get more robust detection in real-time application. Our method is using image detection in guiding the quadrotor movements. First, we detect the object by cascaded Canny Edge with SURF and ORB, both of them checks whether the target is true or not. When both methods approved that target have been detected, then the process uses only the cascaded Canny Edge with SURF methods to locate the victims and to decrease the image processing time. Output of this image detection method applies into our quadrotor control movements, by using simple Proportional Integral Derivative (PID) control. This visual feedback control guides the quadrotor flies to the target and note the victim position and reported in its log. This paper will also provide data comparison between our method with the only SURF and the only ORB method to do the same task.

In the paper three-dimensional model for hypersonic flow with turbulence model described. Comparing the result of calculation with wall pressure experimental data, obtained in the inlet-isolator model mounted to the floor of a Mach 5 wind tunnel at the University of Texas, presented in this article. A study is being conducted on the phenomenon of unstart of air inlet-isolator. The results of the distribution of pressure, the Mach number and the temperature inside the inlet-isolator at successive points in time presented.

Railway border reloading station is an important node of the interconnectivity of international railway transport corridor, which overall carrying capacity is critical to keep the corridor unblocked. Compared with general technical stations, the organization of cargo reloading at the station definitely has an impact on transport efficiency and capacity in addition to arriving, departing and conventional technical operations. By analyzing the operation steps and characteristics of railway border reloading station, the concept of overall carrying capacity was defined and its composition was confirmed. Based on this, the operation chain analysis method of the overall carrying capacity of the border reloading station was developed. Then we conduct a case study of Erlian station. Five operation chains were built to calculate the overall carrying capacity and identify the bottleneck. The operation chain analysis method proposed in this paper overcomes the defect of not considering the impact of the reloading operation on station capacity in the existing general technical station transport capacity calculation method. It can comprehensively consider the facilities and equipment of the station and the current traffic flow, so as to accurately find the weak links among them and provide a basis for the improvement of the transportation organization. Therefore, the conclusion is more scientific and reasonable.

With the advent of the information age, the demand for computer professionals such as network maintenance engineers, security engineers, development and operation engineers has gradually increased, and computer software has become one of the hottest industries at present and in the future. As an important part of the education system, higher vocational colleges are constantly training and transporting computer software technology professionals needed by the society, and exploring the application of efficient talent training mode has become one of the key tasks of higher vocational colleges in the future. While enterprises generally reflect that college graduates can’t meet their own needs, colleges and universities are suffering from being unable to know the real needs of enterprises, and lack of specific training templates and inspection standards, resulting in the disconnection between software talent training and demand. In this paper, the analytic hierarchy process (AHP) is used to analyze the established evaluation index system of software technology specialty in higher vocational colleges, and to explore the effective strategies to strengthen the application of efficient talent training mode of software technology specialty in higher vocational colleges.

Demand forecasting of electricity is an important activity for electrical agents to know the description of electricity demand in future. Prediction of demand electricity can be done using time series models. In this paper, double moving average model, Holt's exponential smoothing model, and grey model GM(1,1) are used to predict electricity demand in Indonesia under the condition of limited historical data. The result shows that grey model GM(1,1) has the smallest value of MAE (mean absolute error), MSE (mean squared error), and MAPE (mean absolute percentage error).

Previously, G. Mahadevan et. al., has invented the concept of At most twin Extendable separate Domination number of a graph and obtained many resluts. A set S ⊆ V is said to be At most twin extendable separated dominating set, if for every vertex υ ∈ V − S, 1 ⩽ | N (V) ∩ S| ⩽ 2 and < V − S > is a perfect matching. The minimum cardinality taken over all At most twin extendable separated dominating sets is called At most twin extendable separated domination number of a graph and it is denoted by ATES (G). In this research paper, this number is evaluated for some intersting special types of graphs.

In this paper, the 3D visual display and generation of target in optoelectronic tracking are researched by simulation. 3ds max software is used to model the target, the target model is converted into code files by Deep Exploration and added into the system model. The key point is to associate the target model track and size ratio with the actual target to approach the real battlefield environment. The image data provided by the scene building is tracked by the internal image processing algorithm of photoelectric tracking such as the Canny-based edge tracking. The experiment will compare the tracking of the same target in same algorithm but different backgrounds, and the same backgrounds but different algorithm. Result can see that through the experimental data, the application of the simulated sky background, and the proportion relationship between real target and target in simulation scene, provides a high authenticity data support for the image processing algorithm of self-propelled gun photoelectric tracking system.

With the in-depth development and popularization of the Internet, all kinds of economic formats have undergone giant changes, information flow and transmission become smoother and faster, the Internet configuration transaction mode is born, which plays a huge role in promoting the development of accounting cloud. At present, China’s accounting cloud-based technology is still in its infancy, and Internet cloud computing also has many disadvantages and its development path is very bumpy. However, this does not affect our exploration of accounting cloud-based development. At present, the application of cloud accounting is more suitable for small and medium-sized enterprises, and the future development has a broad market prospect. By analyzing the correlation between cloud-based accounting and traditional accounting financial processing, this paper obtains the advantages of cloud-based accounting and its potential for future development.

Aerial images of brassica napus in field were taken by UAV equipment but often contained unnecessary areas, which caused interferences and inconveniences to the subsequent study of identification of flowering stage by brassica napus images. To solve above problems, YOLO-V4 object detection algorithm based on Convolutional Neural Network (CNN) is adopted to build a model to detect brassica napus distribution area in aerial images, and model is trained iteratively by training data sets and setting initial parameters. As a result, the mean average precision (mAP) of the object detection model reached 96.24%, and the average loss is only 0.5843. In addition, the generalization and robustness ability of model have been evaluated by testing data sets. Conclusion shows the model proposed in this paper can indeed achieve an application of object detection and automatic labeling in aerial brassica napus images with a good performance.

In this paper, we develop a new approach to analysing and designing the gradient coils for magnetic resonance imaging (MRI) scanners for medical applications. More specifically, a novel higher-order BEM which satisfies the continuity equation for the current density is proposed. We also present solution procedures for applying this method to the inverse problem whereby the divergence-free surface current distribution in the gradient coil is deduced from knowledge of the magnetic flux density in a prescribed region of interest. The novel BEM proposed is a non-traditional one, in the sense that the collocation points are given by the vertices of the triangular elements only and not all the BEM nodes used to define the boundary elements. Furthermore, the degree of the interpolation is one degree less than that of the geometry of the triangular elements employed, so that (for example) the linear boundary elements involve constant interpolation for the surface current density. Moreover, the present method can be easily extended in order to obtain any desired degree of the interpolation for the surface current density. Within the inverse problem, care must be taken to employ the optimal value of the Tikhonov regularisation parameter. Results are presented relating to various geometries of coil, obtained using linear, quadratic and cubic variants of the boundary element formulation; those obtained using the quadratic and cubic elements agree almost precisely, while those from the linear elements exhibit small differences from those of the higher-order formulations.

In recent years, a number of studies in Non-Destructive Evaluation (NDE) have been conducted on the sensitivity of probes in assessing the depth of cracks based on input stimulation. Range frequency and crack depth have been suggested as relevant features for input excitation waveform forms. The construction of an encircling coil for a differential probe (ECDP) and an encircling coil for an absolute probe (ECAP) was discussed in this paper. For the defect, the Multi-Frequency (MF) measuring method was used to compare ECDP with single direction and multi-direction turn coil growth. The measurement method was based on the coupling of ECDP and ECAP. By comparing the resulting signal between the probes, it is clear that the ECDP (with longitudinal and transverse coils) is very effective in measuring the various types of defects in the frequency ranges. The ideal excitation frequencies for inspection testing are 30kHz and 60kHz.

Increase in the development of missile technology and the need to control/monitor fast-moving prototypes for various purposes, forces the development of a ground station with automatic telemetry reception capability. The paper presents the preliminary results of the research of the automatic system of maintaining the continuity of communication between the ground station and the moving object. The advantage of the solution is the low weight and dimensions of the transmitting system and the resistance of the receiver to frequency shift resulting from the movement of the object. The receiving module was implemented on the basis of SDR technology together with an application using FFT. The application of the above solution allows for the implementation of the telemetry systems.

In this paper, we consider the problem of determining the source function and the coefficient by the derivative with respect to time in a semilinear parabolic equation with overdetermination conditions defined on two different hyperplanes. The existence and uniqueness theorems of the classical solution of the posed coefficient inverse problem in the class of smooth bounded functions were proved. An example of input data satisfying the conditions of the proved theorems is given.

In this paper, we proposed a new novel algorithm to detect defects cataloged as dings, dents and scratch on plastic 3D paint surface using patterned illumination. This algorithm first fuses the continuous images through different ways to obtain one fused image, which is obtained by patterned light illumination. Then, a series of morphological operations are used to obtain high-contrast image for subsequent feature statistics and defect screening. Experiments show that real-time inspection can be achieved, and the detection of plastic 3D paint surface defects can be completed within 13s, with an accuracy of 86%.

The present paper solves the problem of quick detection of a change in the motion mode of an object moving along a complex trajectory. The process of the object movement is described by a hybrid stochastic model. To solve the problem, a sequential probability ratio criterion is applied. A distinctive feature of the proposed algorithm is the ability to make decisions on a limited set of values of the likelihood ratio function. The results of numerical experiments confirm the efficiency of the developed algorithm.

The paper presents data from an experimental study of the possibility of recycling polymer composites on the example of fiberglass and different thermoset binders. The goal is to remove the polymer matrix and obtain recovered fiberglass that is not inferior in properties to the virgin material. In this paper, considered the solvolysis method of the composite in the amino alcohols. As the medium used methyldiethanolamine and 3-aminopropanol-1. The dependence of the influence of the solvolysis time and the concentration of alkali metal hydroxide in the reaction medium on the strength of recovered glass fibers has been established. The solvolysis at a temperature of 180 °C and a catalyst concentration of 5 % for 6 hours was accepted as optimal regime. As a result of the research, a regime was obtained that allows recovering fibers with a tensile strength of 92 % of virgin fibers. The recovered fabrics were studied by thermal analysis and scanning electron microscopy. GFRP samples were obtained from the recovered fabrics by the VaRTM method. The flexural strength of composites made from secondary filler is 8.5% lower than the same material based on virgin fabric. Products of the polymer matrix degradation and fibrous fillers are released during recycling. These products could be used in chemical technology to produce, for example, binders components and secondary fillers for polymer composites.

Porosity and permeability are important properties of porous materials, such as rocks and concrete. This paper presents the physical-mathematical modelling of a novel test, based on one previously developed by one of the authors (standardized in Switzerland, Japan and China) for measuring the air-permeability of concrete structures. In the present case, a cylindrical specimen is placed inside an air-tight cell, subjected to an initial vacuum pressure P 0, which is afterwards isolated from the pump. The rate of pressure increase (due to the extraction of air originally at atmospheric pressure Pa ) is related to the coefficient of permeability of the material whilst the final pressure attained is a function of the porosity (total amount of air extracted). The analysis assumes a unidirectional radial flow of air, which can be achieved by a special serial three-chamber vacuum cell (with pressure regulation of the external chambers) or by an air-tight sealing of the extreme faces of the cylinder. The analysis is developed under the assumption of viscous laminar flow. To account for the molecular diffusion flow, the test can be performed under vacuum (P 0 ≪ Pa) and under overpressure (P 0 ≫ Pa ), enabling the application of the Klinkenberg correction to get the intrinsic coefficient of permeability.

Relying on ancient Chinese literary works and through reasonable teaching settings, we can promote the inheritance of our excellent traditional cultural spirit. Based on this, this paper uses computer-aided technology to first analyze the significance of inheriting the excellent traditional culture spirit in the teaching of ancient Chinese literature. Then this paper analyses some problems in the current teaching. Finally, some suggestions are put forward. This article hopes that through the teaching of ancient Chinese literary works, we can effectively inherit the excellent traditional cultural spirit of our country.

Advances in information technology have promoted the development of smart cities. Under the umbrella of building smart cities, the computer digital surveying and mapping geographic information industry builds an important spatial information infrastructure for smart cities by building a smart city spatio-temporal information cloud platform, and provides intelligent spatio-temporal carriers for smart cities. Based on this research background, the paper analyzes the positioning of computer digital geographic information in the construction of smart cities, and proposes the concept of geographic platform and its value in smart cities: spatial information resource sharing, ubiquitous information support and collaborative management.

Epoxy resin has been widely used in many fields. The improvement of friction and wear property can further expand the application range of epoxy resin. Filling modification can improve the tribological state of epoxy resin and improve the friction and wear property of epoxy resin. This paper summarizes the research of epoxy resin composite material tribology performance at the forefront of progress. The influence of different fillers on the friction and wear properties of epoxy resin composite materials was discussed from the aspects of the single filling of nano-filler, organic materials and inorganic lubricating fillers and the compound filling of inorganic or organic-inorganic fiber-filler. Many researching literature shows. The mechanical properties of epoxy resin composites are strengthened by adding filler to epoxy resin to improve the load bearing capacity of epoxy resin composites during friction. At the same time, add filler to reduce the surface of epoxy resin and the friction pair of duality between the caking property, and in the process of friction is easy to form transfer film, transfer film to isolate the direct contact of the friction surface, composite materials and the dual friction between surfaces into composite materials and transfer film, the friction between improved tribological condition between the friction pair, reduce the friction coefficient and wear rate of epoxy resin composites multiple fillers can improve the wear resistance and reduce the friction coefficient of epoxy resin composites, so that the epoxy resin composites have better tribological properties.

Aiming at the problem that the performance ranking analysis method in the traditional BCC-DEA model will produce infeasible solutions under the assumption of variable returns to scale, this paper proposes to apply the neural network calculation principle to the DEA performance ranking analysis, thereby establishing a BCC based on the neural network calculation principle -DEA model, and then use this model to analyze the efficiency of basic public education service investment in Jilin Province during the “Twelfth Five-Year Plan” period, and studied the details of the nine-year compulsory education service. The implementation measures and implementation rules examine the relationship between the government’s interactions between educational resources and economic benefits. The layer is facing empirical research in Jilin Province as a whole. The study found that the overall high speed of basic public education services in Jilin Province is insufficient, and the education system, management level, and pure technical efficiency of resource allocation are the main factors affecting overall efficiency. Various investments made by the government during the 12th Five-Year Plan period, the efficiency changes in the whole period: the overall comprehensive efficiency changes in Jilin Province decreased during the five years, and the direct influencing factors were insufficient progress in education and through a variety of training, and a variety of multimedia education and new technology application. To this end, the paper puts forward the following suggestions: explore the public policy of sufficiency education, improve the performance of resource allocation; build a public policy of responsive education, improve the financial security mechanism; esTablelish a public policy of binding education, improve the system management; promote learning education Public policy to improve the development of capabilities.

The paper’s primary purpose is to optimize the performance (speed/accuracy) of vehicle detection. The vehicle dataset Vehicle2020 used in this paper is divided into ten different vehicle classes. Intersection over Union (IoU) is usually used as a standard to evaluate the accuracy of vehicle detection in a specific dataset. However, IoU as a performance of the object detection algorithm is still shortcomings. IoU is further improved and called a new algorithm EIoU. Finally, the neural network structure was redesigned, which was called VehicleNet. The experimental results show that EIoU as a performance evaluation algorithm used the vehicle detection framework can improve the performance of vehicle detection. Using the algorithm of this paper shows the performance superiority of vehicle detection.

This paper introduces a new design of a white light interferometer, suitable for measurement of cylindrical or quasi-cylindrical parts. A high precision 45° conical mirror is used to direct collimated light radially, making it possible to measure in true cylindrical coordinates. The image of the measurand, distorted by the conical mirror, is projected in a high resolution digital camera. A mapping algorithm is used to reconstruct the cylindrical geometry from the distorted image. The rest of the interferometer is quite similar to a conventional white light interferometer: A flat reference mirror is scanned through the measurement range while an algorithm is searching for the maximum contrast position of the interference pattern. The performance evaluation of a configuration suitable for measurement of external cylindrical surfaces is also presented in this paper. A master cylinder was used as reference. Uncertainties of about 1.0 µm were found at the present stage of development.

In the paper current types of the organizational management structures have analyzed as well as typical problems of scientific departments are considered and organizational structure is proposed allowing optimization of management for the research center in the frames of organization in a law enforcement agency.

With the vigorous development of the global logistics industry, warehousing automation has become a popular applied research direction in computer vision. In this paper, the fork and the fork hole’s relative posture during the forklift picking process were taken as the research object. The relative position of the two is solved based on the Aruco cooperative logo PnP algorithm. In this paper, the initial values of the relative poses of the two are addressed by the linear algorithm DLT, and the relative poses are further optimized by Bundle Adjustment (BA). The iterative error observation function is constructed based on the visual pose estimation model, and the Gauss-Newton method is adopted. The least-square fitting iterative process is carried out many times, and the relative position and posture of the fork and the fork hole with high precision are finally obtained.

In this paper, Ab-initio calculations are reported on the electronic and magnetic behavior of a 1x1-MnN/GaN superlattice in the wurtzite structure under hydrostatic pressure. The calculations were performed using the formalism of density functional theory with the generalized gradient approximations in the Perdew, Burke and Ernzerhof model, as well as the Wien2k computational package. The density of state shows that the electronic structure and the magnetic moment are affected by the hydrostatic pressure, because there is an abrupt change in the magnetic moment, which goes from 0 to 2.86 μβ/cell under a pressure of ∼ 24.45 GPa. When the pressure decreases to 0 GPa, the magnetic moment of the superlattice rises to 4.0 μβ/cell. Therefore, the superlattice exhibits a half-metallic behavior for a pressure of 0 GPa, while it acquires a metallic behavior when pressure surpasses 24.45 GPa.

Building an appropriate model is the key issue of network traffic flow prediction [1]. This paper presents a hybrid model based on the combination of wavelet denoising and BP neural network. First, wavelet transform is used to normalize and denoise the collected raw traffic flow. The index for estimating prediction accuracy is Mean Absolute Error (MAE). The original data is supported by a large telecommunications company in China. At present, research has made corresponding progress and the prediction accuracy of this combined model has reached more than 80%.

The paper presents the results of study of spectroscopic and thermal characteristics of molecular co-crystals: 2-aminopyridine-4-nitrophenol-4-mtrophenolate (2AP4N) and 2,6- diaminopyridine-4-nitrophenol-4nitrophenolate (26DAP4N). Crystals were successfully grown by slow evaporation technique. Optical transparency in the region of 190-1100 was found to be suitable for applications with cut off wavelengths 420 and 430 nm respectively. Thermogravimetric and differential thermal analysis show good quality and thermal stability for studied crystals. Kurtz and Perry powder technique proves that the crystals are acentric and have significant nonlinear optical response.

The Community Atmosphere Model (CAM) is the atmospheric component of the Community Climate System Model (CCSM) and is the primary consumer of computer resources in typical CCSM simulations. Performance engineering has been an important aspect of CAM development throughout its existence. This paper briefly summarizes these efforts and their impacts over the past five years.

As the third-generation semiconductor material, GaN has the characteristics of large forbidden band width and high electron mobility. The AlGaN/GaN high electron mobility transistors (HEMTs) have also attracted attention in recent years. In this paper, the effect of self-heating on device degradation was explored through theoretical analysis and software simulation. Firstly, Silvaco TCAD was used to establish an AlGaN/GaN HEMT single heterojunction model. Then, its self-heating effect was explored by simulation. Besides, it was compared with the theoretical analysis results. The control experiment method was used to compare the I-V output characteristic curve of the device when the self-heating effect was considered, and the relationship between the lattice temperature and the device degradation was researched. According to the research result, when the device is affected by the self-heating effect, the electrical performance of the device degrades obviously due to the increase of lattice temperature.

Nowadays not only adult but even teenager and children have then own mobile phones. This phenomena indicates that the mobile phone becomes an important part of everyday's life. Based on these indication, the amount of cellular data also increased rapidly. Cellular data defined as the data that records communication among mobile phone users. Cellular data is easy to obtain because the telecommunications company had made a record of the data for the billing system of the company. Billing data keeps a log of the users cellular data usage each time. We can obtained information from the data about communication between users. Through data visualization process, an interesting pattern can be seen in the raw cellular data, so that users can obtain prior knowledge to perform data analysis. Cellular data processing can be done using data mining to find out human mobility patterns and on the existing data. In this paper, we use frequent pattern mining and finding association rules to observe the relation between attributes in cellular data and then visualize them. We used weka tools for finding the rules in stage of data mining. Generally, the utilization of cellular data can provide supporting information for the decision making process and become a data support to provide solutions and information needed by the decision makers.