Applied Mechanics, Mechatronics and Intelligent Systems

The following sections are included:

• Editorial
• Contents

Two-way sequential fluid-structure interaction method was used to analyze and discuss the characteristics of unsteady fluid-structure interaction of the complex flow channel of a steam turbine ball type control valve. Research indicates that when the pressure ratio changes as a sine wave, its flow rate occurs a sine wave change, and the maximum flow rate value of 57.46kg•s-1 occurs in the minimum pressure ratio condition. The longitudinal force of the structure domain decreases with the reduction of the pressure ratio, and points to the opposite direction of the flow. The lateral force increases with the decrease of the pressure ratio, and points to the opposite direction of the flow. The maximum value of deformation and force of the structure domain changes consistently with the pressure ratio fluctuation. The maximum value of the structure domain stress is 28.67MPa, which is far less than the yield strength of the structure material, and the maximum deformation value is 3.25um.

A procedure based on FEM is proposed to simulate interaction between concrete segments of tunnel linings and soils. The beam element named as Beam 3 in ANSYS software was used to simulate segments. The ground loss induced from shield tunneling and segment installing processes is simulated in finite element analysis. The distributions of bending moment, axial force and shear force on segments were computed by FEM. The commutated internal forces on segments will be used to design reinforced bars on shield linings. Numerically simulated ground settlements agree with observed values.

This paper aimed to research the dynamic response and injury mechanisms of head based on real pedestrian traffic accidents with video. The kinematics of head contact with the vehicle was reconstructed by using multi-body dynamics models. These calculated parameters such as head impact velocity and impact location and head orientation were applied to the THUMS-4 FE head model as initial conditions. The intracranial pressure and stress of brain were calculated from simulations of head contact with the vehicle. These results were consistent with that of others. It was proved that real traffic accidents combined with simulation analysis can be used to study head injury biomechanics. Increasing in the number of cases, a tolerance limit of brain injury will be put forward.

A steel roof of a gymnasium is a multiple suspended beam structure. This structure system is new and unique, and the similar project experiences is lack. To further understand the mechanical property, the structure was simulated by ABAQUS finite element analysis software. Based on the model, analyzed the effects of prestress on the mechanical property of multiple suspended beam, and compared with the latticed shell that removed cables and struts, focused on stability and seismic response of the structure. Research found that adding cables and struts could improve the integral rigidity of latticed shell, so that changed buckling modes of the structure, and improved stability significantly. The seismic capacity of multiple suspended beam structure was increased significantly, and occured ductility damage obviously, achieved good seismic resistant capacity.

According to mathematical model of rock and soil, it calculated seepage field of tailing water channel under different conditions. The results showed that under condition of no.1, the seepage discharge from outside to inside of channel is 0.394 m3/h and the discharge under plastic concrete cut-off is 0.358m3/h, and that under condition of no.2, the seepage discharge from outside to inside of channel is 0.249 m3/h and the discharge under plastic concrete cut-off is 0.236m3/h. Under condition of no.1, the outflow of saturation line is at elevation of 411.0m which is under sand and gravel filling layer and near boundary of drift gravel sand layer. Under condition of no.2, the outflow of saturation line is at elevation of 403.0m which is under drift gravel sand layer and near rock foundation. The results showed that numerical simulation can be used to do with seepage problems of tailing water channel.

The mass flow rate and droplet diameter of a small-bore atomizing nozzle were measured in a self-designed lab-scale experimental system, and the effect of atomizing pressure on them was further explored. Experimental results show that the flow rate increased gradually with the fluid pressure, and the discharge coefficient of the nozzle is calculated to be 0.0026. The increase of pressure led to the decrease of diameter, but the increase of pressure lowered the decrease trend, and the higher pressure resulted in the lower decrease trend. Moreover, when the pressure increased, the droplet distribution became dispersed.

Reel lay is a fast and cost-effective way to install subsea pipelines. During reel lay, pipe's repeated plastic bending produces residual stress, which has influence on pipe's ultimate bearing capacity. First, the deformation of pipe in reel lay is analyzed, and the cyclic bending stages are simplified for convenience of theoretical research. Based on the finite element method (FEM), the Ramberg-Osgood model is adopted to describe material's mechanical property with kinematic hardening rule, and five bending stages are simulated. Further, the influence of material parameters and geometry parameters on pipe's residual stress is studied. Finally, the effect of residual stress on pipe's external pressure bearing capacity and tensile capacity is analyzed. Some important conclusions can be drawn: (1) the influence of diameter-thick ratio on residual stress is small, and material parameters' effect on the residual stress is large; (2) the influence of residual stress on pipe's external pressure bearing capacity is small, but its influence on tensile capacity is large.

Residual stress is one of the important parameters of thin films, which can seriously affect the properties, performance and long-term stability of thin films. Stress measurement techniques are therefore essential for both process development and process monitoring. This paper presents a novel symmetric micro strain gauge which can be in situ fabricated. The structure is modeled and simulated in ANSYS. Both compressive and tensile stress can be measured via this strain gauge and the resolution can reach to 0.0005% with optimized dimension.

A large number of lab and field experiments have showed preferential flow is a ubiquitous phenomenon. Through analysis on the field dye experiment, precipitation and infliltration data in the Experimental Station in Zhengzhou and percolation test data in lab and field experiment, the paper analyze the characterization of preferential flow by a method of statistical analysis and discuss the form mechanism together with influencing factor in soil. The results show the field dye experiment of silt loam in Zhumadian, precipitation and infliltration data and the percolation test in the Experimental Station have showed the macropore caused by the root and wormhole greatly develops in the upper soil layer, tortuose and decreases with the depth. However, the cranny caused by dry shrinkage comparatively develops in the deep soil layer, the macropore has good connectivity, and therefore preferential flow easily occurs in silt loam than sand silt in Kaifeng.

Physical model of cone-cylinder nozzle was established. Based on the CFD software of FLUENT, the flow field about abrasive water jet in cone-cylinder nozzle was simulated by use of standard k−ε turbulent model, Lagrange Discrete Phase Model and SIMPLE algorithm. The simulation results show that axial velocity of abrasive particle is always smaller than axial velocity of abrasive particle and increases gradually with the increase of axial distance. Axial static pressure of water decreases gradually with the increase of axial distance. Axial velocity of abrasive particle at the exit of cone-cylinder nozzle decreases with the increase of nozzle entrance diameter. And axial static pressure of water at the entrance of cone-cylinder nozzle decreases with the increase of nozzle entrance diameter. 8mm is selected as an optimal nozzle entrance diameter.

At present, optimal design against noise caused by vibrating structures is often formulated with the objective of minimizing sound power or sound pressure. In this paper, a mechanical and acoustic multi-objective optimization method is proposed aimed at minimizing static, dynamic and acoustic response of a honeycomb sandwich panel under given mass constraint. The multi-objective is defined as a weighted sum of static deflection, vibration response and sound power from the norm method. The static and dynamic responses are calculated using FEM and sound power radiated by structures is calculated using discrete Rayleigh integral. The sensitivities of static, dynamic and acoustic response are formulated to improve efficiency by the adjoint method. Numerical examples on the honeycomb plate are considered, which indicate that the proposed method can improve acoustical property without weakening mechanical property.

Hybrid cars as a solution to energy saving, emission reduction measures, have received widespread attention. Motor drive system as an important part of the hybrid vehicles as an important object of study. Based on the hybrid electric vehicle powertrain control system for permanent magnet synchronous motor as the object of study. Can be applied to hybrid car compares the characteristics of traction motors, chose permanent magnet synchronous Motors as drive motors for hybrid vehicles. Building applications in hybrid cars in MATLAB/Simulink simulation model of permanent-magnet synchronous motor speed control system and analysis of simulation results.

The unbalanced blade carrier shaft leads to mill Vibration, and affects crushing effects. Study on SG-4390 plastic crusher blade carrier shaft was conducted, the experiment of blade carrier shaft balancing test was done by hard-bearing balancing machine, and the balance level had reached 95.4%. Besides, ANSYS Workbench analysis was done for the tested blade carrier shaft. The results showed the crushing effect is significantly improved, including the blade carrier shaft dynamic characteristic. By the way, the paper provides a reference for crusher similar mill structure optimization.

The multi-axis platform of dual beam laser welding (DBLW) can guarantee a good synchronism on double sides, adaptation and precision, thus it can be widely applied. On this platform, this paper studies critical technology of off-line programming of DBLW. It presents a U-oriented on double sides trajectory planning method based on the traditional method derived from single beam laser welding. Then a calibration strategy of structural parameters is rendered and G codes are produced by a postprocessor. At last the researchers develops the off-line programming system on CAM platforms and a simulation conducted proves the system satisfying the need.

Residual stress in the machined surface and subsurface is affected by materials, machining conditions, and tool geometry and can affect the component life and service quality significantly. Empirical or numerical experiments are commonly used for determining residual stresses but these are very expensive. There has been an increase in the utilization of minimum quantity lubrication (MQL) in recent years in order to reduce the cost and tool/part handling efforts, while its effect on machined part residual stress, although important, has not been explored. This paper presents a hybrid neural network that is trained using Simulated Annealing (SA) and Levenberg-Marquardt Algorithm (LM) in order to predict the values of residual stresses in cutting and radial direction on the surface and within the work piece after the MQL face turning process. Once the ANN has successfully been trained, an optimization procedure, using Genetic Algorithm (GA), is applied in order to find the best cutting conditions in order to minimize the surface tensile residual stresses and maximize the compressive residual stresses within the work piece. The optimization results show that the usage of MQL decreases the surface tensile residual stresses and increases the compressive residual stresses within the work piece.

This paper introduced the measuring principle of the piston cylindrical profile. The hardware architecture, system configuration of the measuring instrument and control software module are given. The measurement results show that the instrument can realize precise measurement of piston cylindrical profile. The practical instrument's measuring time is just about one-third of the advanced equipment.

In order to explore the influence of the harmonic response of system vibration upon the stability of the double-sheet detector system, the mathematical model of vibrational system is established via the mechanical dynamic theory. Vibrational system of double-sheet detector is studied by theoretical modeling, and the dynamic simulation to obtain the amplitude/phase frequency response curve of the system based on ANSYS is completed to make a comparison with the theoretical results. It is shown that the theoretical value is basically consistent with that calculated through ANSYS. Conclusion vibrational characteristics of double-sheet detection system is obtained quickly and accurately, and propound solving measures by some crucial factors, such as the harmonic load, mass and stiffness, which will affect the vibration of the system, contribute to the finite element method is applied to the complex multiple-degree-of-freedom system.

In the paper micro-holes are machined in electrochemical machining (ECM) with the passivating electrolyte disturbed by ultrasound. Based on the Faraday's law, theoretical model of the inter-electrode gap and the mechanism of ultrasonic effect are investigated. Moreover experiments on comparison of ECM micro-holes and ultrasonic assisted ECM micro-holes are carried out, and results show that the distribution of the inter-electrode gap and the localization of anodic dissolution are improved with the passivating electrolyte disturbed by ultrasound. Finally precision micro-holes have been obtained successfully.

Analyzing the car-body modal of EMU is the key of assessing EMU dynamic quality at high speed. The car-body modal can be influenced to same degree by the mass fineness distribution and the rationality of coupling stiffness of suspension device. Considering all equipments layout including internal decoration, FEM of the EMU car-body under preparation based on mass fineness distribution was created and the free modal was carried out with FEA software. The vertical bend frequency 10.03Hz, that is closer to the experimental data, satisfies the relative requirement. And on this basis, different vibration frequencies were studied under different elastic hanging stiffness of suspension device. Vibration frequency change is same on three direction with vertical direction stiffness, which indicate vertical stiffness is more important than the other direction stiffness. Thus these results provide some rational references for EMU car-body structural design.

The numerical simulation method based on computational Fluid Dynamics (CFD) provides a possible alternative means of physical wind tunnel test. Firstly, the correctness of the numerical simulation method is validated by one certain example. In order to select the minimum length of the cable as to a certain diameter in the numerical wind tunnel tests, the numerical wind tunnel tests based on CFD are carried out on the cables with several different length-diameter ratios (L/D). The results show that, when the L/D reaches to 18, the drag coefficient is stable essentially.

Automatic dumpling forming machine is also called dumpling machine, which makes dumplings through mechanical motions. This paper adopts the stuffing delivery mechanism featuring the improved and specially-designed vane pump casing, which can contribute to the formation of dumplings. Its 3D modeling in Pro/E software, machining process planning, milling path optimization, simulation based on UG and compiling post program were introduced and verified. The results indicated that adoption of CAD/CAM offers firms the potential to pursue new innovative strategies.

Dry cutting can eliminate a series of negative effects of coolant. Based on tribology principle of coated tool, diamond film coated tool is used to cut the same workpiece under the conditions of dry-cutting and coolant. The tool's cutting properties and wear mechanism are studied by tests. Results imply that this coated tool will be applied more widely day by day in the dry-cutting.

The transfer part length of the pushing gauge shall be correspondingly increased with the increase of the paper format. According to the principle of tension degree and buffer length, the chain link number N of the laminating machine 1600 is determined. The drive system drawing is drawn through calculation and analysis of tooth number of each part of the laminating machine. Tooth number of each part is calculated through applying the method of continued fractions, and the original drive system drawing is then modified. Speed and correlation of each element are determined through comparison of the speed of laminating machine 1300 and laminating machine 1600.

In order to reveal the influence of contact condition of spindle-holder to the dynamic characteristics of high speed spindle system, a milling spindle is taken as the research object, and the change rule of the spindle natural frequency is simulated based on the contact condition which is influenced by the drawbar force, interference and centrifugal force. The result shows that the contact clearance is decrease with the increase of drawbar force and interference, while rise with the increase of rotate speed; the natural frequency can be increased by both drawbar force and interference, however, it is decease with the increase of rotate speed.

According to the actual requirements of weft insertion, a set of variable lead screw weft mechanism was designed, motion characteristics of the mechanism were analyzed and kinematics simulation was carried out with MATLAB. Mechanism precision was analyzed with the analytical method and the error coefficient curve of each component in the mechanism was obtained. Dynamics simulation for rigid mechanism and mechanism with flexibility in different speed was conducted with ADAMS, furthermore, real-time elastic deformation of the flexible Connecting rod was obtained. In consideration of the influences of the elastic connecting rod, the outputs motion error and elastic deformation of components were increased with the speed of the loom.

Precision of the NC axes is an important aspect of machine tool design. Conventionally, the precision specification of machine tools is empirically determined, resulting in poor designs with insufficient or excessive precision. To provide a cost-effective precision specification for machine tools, an active precision design approach is proposed to generate the specification of the positioning repeatability of NC axes to meet the designated working precision requirements of the machine tools. Finally, the approach is demonstrated and validated through a case study of precision design for a gear milling machine.

Concerning the problems of the impact on the factors of installation about semiconductor refrigeration piece are rarely studied in China and abroad, a reasonable structure of test device is designed, using stepper motor to test the temperature of the cold surface under different stress of installation to get the best stress of installation for the semiconductor refrigeration piece. Experiments shows that the system is of good noise immunity, high controlling and measuring precision.

The Eastern Zone of Junggar Basin is a typical and favorable low-rank coal CBM gathering area. This paper firstly, calculates and evaluates the CBM resources of 4 sections and 23 units divided in the Eastern Zone of Junggar Basin; then points out the favorable areas and their burial depth range for further exploration. The results here will provide practical guidance for the whole basin's low-rank CBM investigation and exploration, and impact the understanding of other low-rank CBM resources around the world.

SHT75 is a temperature and humidity module with high precision, low power consumption, two line output. An intelligent output temperature and humidity sensor is developed based on this module. The hardware and software design are introduced in detail in this paper. In addition, temperature and humidity correction parameters can be calculated by polynomial curve fitting. Experimental results show that the polynomial curve fitting after correction for temperature and humidity sensor can reach to more accurate measurement accuracy.

This paper introduces the system for on-line monitoring and active noise control towards the transformer noise based on LabVIEW and the hardware equipment including the hardware and software. For the hardware part, it is mainly focused on the composition and the role of hardware devices, as well as the mounting location in the active noise control experiment. And the software part introduces the software flow chats, the measurement and analysis module for the sound pressure level including A, B, C weighting methods, the 1/n octave spectrum and the power spectrum, active noise control module and noise data access module.

In order to solve the environmental pollution caused by motor vehicle exhaust, this article designed and developed a miniaturized infrared exhaust gas sensor, can effectively detect the concentration of CO₂, CO, hydrocarbons, solves the existing sensor of large volume, slow response, etc.

This paper indicates a reticle detection system base on mobile platform. We establish a detection system base on mobile platform, and the goal of this system is detection of the centers of reticles. After capturing the image of reticles, the system gets four reticle images for Y, M, C, K purity color through image segmentation. In this paper, the system mainly to solve the detection for rotational reticles, and the system uses the approach that two points determine a straight line, and two straight lines determine an intersection, and the intersection is the center position of one reticle. At last, through comparing the center positions of four reticles, the system can obtain the conclusion whether four-color printing overprint accurately, and if they don't overprint accurately, the system can calculate the relative deviation between different color printings.

The article improves the attraction of public transportation system when the safety is taken into account during the selection of bus stops. In this paper, the characteristics of traffic conflict at bus stops is analyzed from various types of bus stops and the applicability of bus stations is proposed in comply with provisions of security. It has a certain reference value on selection of bus stops.

Pork is very important for people in daily life. Quality of livestock environment is closely related to the growth of animals. To improve environmental quality, the paper designed an electronic worker service system of the pig house based on ATmega16, which consisted of 6 detection modules, wireless data collecting, GSM, time circuit, display, anti-theft alarm and music player, etc. A small LAN was constructed by wireless transceiver module to test and collect data of temperature, humidity and harmful gas concentration in the pig house. If one detection point exists that harmful pollutant gases concentration exceeds the standard value, GSM module took a message for livestock farmers, so that farmers can promptly arrive at the pig house to ventilate or deal with manure in the pig house, which can effectively prevent from bad things. Time of pyroelectric detector deployment can be freely set, and intrusion information was timely sent to the users. The anti-theft alarm function was achieved by the auxiliary light. The music playing module is open by timer module in order to soothing pigs' life state. All are suitable for small farms and can save human resources.

Because malicious code does not appear in html source code, DOM based XSS cannot be detected by traditional methods. By analyzing the causes of DOM based XSS, this paper proposes a detection method of DOM based XSS based on phantomjs. This paper uses function hijacking to detect dangerous operation and achieves a prototype system. Comparing with existing tools shows that the system improves the detection rate and the method is effective to detect DOM based XSS.

In order to improve the intelligent level of aquaculture technology, this paper puts forward a remote wireless monitoring system based on ZigBee technology, GPRS technology and Android mobile phone platform. The system is composed of wireless sensor network (WSN), GPRS module, PC server, and Android client. The WSN was set up by CC2530 chips based on ZigBee protocol, to realize the collection of water quality parameters such as the water level, temperature, PH and dissolved oxygen. The GPRS module realizes remote communication between WSN and PC server. Android client communicates with server to monitor the level of water quality. The PID (proportion, integration, differentiation) control is adopted in the control part, the control commands from the android mobile phone is sent to the server, the server again send it to the lower machine to control the water level regulating valve and increasing oxygen pump. After practical testing to the system in Liyang, Jiangsu province, China, temperature measurement accuracy reaches 0.5°C, PH measurement accuracy reaches 0.3, water level control precision can be controlled within ± 3cm, dissolved oxygen control precision can be controlled within ±0.3 mg/L, all the indexes can meet the requirements, this system is very suitable for aquaculture.

The ultrasonic flaw detection equipment with remote control interface is researched and the automatic verification system is developed. According to use extensible markup language, the building of agreement instruction set and data analysis method database in the system software realizes the controllable designing and solves the diversification of unreleased device interfaces and agreements. By using the signal generator and a fixed attenuator cascading together, a dynamic error compensation method is proposed, completes what the fixed attenuator does in traditional verification and improves the accuracy of verification results. The automatic verification system operating results confirms that the feasibility of the system hardware and software architecture design and the correctness of the analysis method, while changes the status of traditional verification process cumbersome operations, and reduces labor intensity test personnel.

Rapid and accurate fault sealing evaluation is indispensible for high-efficient exploration and exploitation of offshore complex fault block oilfields. Firstly, necessary conditions for fault sealing evaluation of offshore complex fault block oilfields have been put forward. Then, shale gouge ratio method that are suitable for sealing quantitative evaluation have been screened out. Afterwards, the technical procedure has been formulated by integrating static and dynamic data. Finally, case study of the multi-order faults around well A1 in a complex fault block oilfield in eastern Andaman sea of Burma fully demonstrates the practicability, reliability and flexibility of the methods.

This paper is based on a green energy USV model which is designed and built by ourselves. In this paper, we conducted a series of roll decay tests on the USV model under different loads and tilt angles. According to the characteristics of USV hull we established the corresponding mathematical model. We analyzed the experimental data through an identification program with optimization. In the process of the swing we got some curves including roll angle and roll angular velocity, at the same time we found the changes of the hydrodynamic derivatives. Eventually, the processed data was analyzed and the related hydrodynamic coefficients were acquired. The research for unmanned vehicle motion and its method in this paper would improve the basic technical support for USV airworthiness, and put forward the improvement method of reference of sea worthiness.

Nowadays, intelligent vehicle is widely studied all over the world. On considering cost and safety of test on real vehicle, it takes scale intelligent vehicle as a carrier platform, which uses visual sensors to capture the environmental information in a Wi-Fi wireless communication network environment, and creates a system including video surveillance system, monitoring command terminal, data server and three-dimensional simulating test traffic environment. The core algorithms, such as road recognition perception, image data processing, path planning and the implementation of motion control, have been completely designed and applying on the vehicle platform. The experimental results verified its good effects and the robustness and stability of the algorithm.

Most combine harvesters have not be equipped with online fault diagnosis system. A fault information acquisition and diagnosis system of the Combine Harvester based on LabVIEW is designed, researched and developed. Using ARM development board, by collecting many sensors' signals, this system can achieve real-time measurement, collection, displaying and analysis of different parts of combine harvesters. It can also realize detection online of forward velocity, roller speed, engine temperature, etc. Meanwhile the system can judge the fault location. A new database function is added so that we can search the remedial measures to solve the faults and also we can add new faults to the database. So it is easy to take precautions against before the combine harvester breaking down then take measures to service the harvester.

Aiming at the problem of mixed gas detection in neural network and analysis on the principle of gas detection. Combining BP algorithm of genetic algorithm with hybrid gas sensors, a kind of quantitative analysis system of mixed gas is designed. The local minimum of network learning is the main reason which affects the precision of gas analysis. On the basis of the network study to improve the learning algorithms, the analyses and tests for CO, CO₂ and HC compounds were tested. The results showed that the above measures effectively improve and enhance the accuracy of the neural network for gas analysis.

This paper investigated novel wireless RF pressure sensor fabricated with SU-8 polymer. To achieve highly simplified fabrication processes and designs for high-reliable operation, a passive wireless sensors were researched. SU-8 polymer-based micro pressure sensor was fabricated by micro-electro-mechenical system (MEMS) based batch process. The sensor consists of an inductor (L) interconnected with pressure-variable capacitor (C) to form a LC resonant circuit. Fabricated devices measure 4 × 3 mm² in size and houses 9 turns of Cu electro-plated 100 nH coil. In this system, RF signal was transmitted from external antenna to the fabricated LC resonator. By detecting this abrupt resonant frequency shift of the fabricated device, the pressure change of the device can be measured by wireless method.

This work presents a prototype flywheel energy storage system (FESS) suspended by hybrid magnetic bearing (HMB) rotating at a speed of 20000rpm with a maximum storage power capacity of 30W with a maximum tip speed of 300m/s. The design presented is an improvement of most existing FESS, as the design incorporates a unique feature in that the upper and the lower rotor and stator core are tapered which enhances larger thrust and much lower radial force to be exerted on the system. Without any adverse effect being experienced by the model. The work also focuses on the description of developing a prototype FESS suspended by HMB using solid works as a basis of developing in the nearer future a more improved FESS suspended by HMB capable of injecting the ever increasing high energy demand situation in the 21st century and beyond.

Petri net is an important tool for discrete event dynamic systems modeling and analysis. And it has great ability to handle concurrent phenomena and non-deterministic phenomena. Currently Petri nets used in wind turbine fault diagnosis have not participated in the actual system. This article will combine the existing fuzzy Petri net algorithms; build wind turbine control system simulation based on Siemens S7-1200 PLC, while making matlab gui interface for migration of the system to different platforms.

Autonomous obstacle avoidance of unmanned aerial vehicle (hereinafter referred to as UAV) in electric power line inspection process has important significance for operation safety and economy for UAV intelligent inspection system of transmission line as main content of UAV intelligent inspection system on transmission line. In the paper, principles of UAV inspection obstacle avoidance technology of transmission line are introduced. UAV inspection obstacle avoidance technology based on particle swarm global optimization algorithm is proposed after common obstacle avoidance technologies are studied. Stimulation comparison is implemented with traditional UAV inspection obstacle avoidance technology which adopts artificial potential field method. Results show that UAV inspection strategy of particle swarm optimization algorithm, adopted in the paper, is prominently better than UAV inspection strategy of artificial potential field method in the aspects of obstacle avoidance effect and the ability of returning to preset inspection track after passing through the obstacle. An effective method is provided for UAV inspection obstacle avoidance of transmission line.

The noise problem has become more and more serious in recent years. The adaptive filter theory which is applied in ANC [1] (active noise control) has also attracted more and more attention. In this article, the basic principle and algorithm of adaptive theory are both researched. And then the influence factor that affects its covergence rate and noise reduction is also simulated.

Existing objective methods to evaluate pork quality in general do not yield satisfactory results and their applications in meat industry are limited. In this study, fuzzy support vector machine (FSVM) method was developed to evaluate and predict pork quality rapidly and nondestructively. Firstly, the discrete wavelet transform (DWT) was used to eliminate the noise component in original spectrum and the new spectrum was reconstructed. Then, considering the characteristic variables still exist correlation and contain some redundant information, principal component analysis (PCA) was carried out. Lastly, FSVM was developed to differentiate and classify pork samples into different quality grades using the features from PCA. Jackknife tests on the working datasets indicated that the prediction accuracies were higher than other methods.

The Doraleh Container Terminal (DCT) located in Djibouti has been noted as the most technologically advanced container terminal on the African continent. DCT's strategic location at the crossroads of the main shipping lanes connecting Asia, Africa and Europe put it in a unique position to provide important shipping services to vessels plying that route. This paper aims to forecast container throughput through the Doraleh Container Port in Djibouti by Time Series Analysis. A selection of univariate forecasting models has been used, namely Triple Exponential Smoothing Model, Grey Model and Linear Regression Model. By utilizing the above three models and their combination, the forecast of container throughput through the Doraleh port was realized. A comparison of the different forecasting results of the three models, in addition to the combination forecast is then undertaken, based on commonly used evaluation criteria Mean Absolute Deviation (MAD) and Mean Absolute Percentage Error (MAPE). The study found that the Linear Regression forecasting Model was the best prediction method for forecasting the container throughput, since its forecast error was the least. Based on the regression model, a ten (10) year forecast for container throughput at DCT has been made.

This paper designs the school office access control system by using the fingerprint identification method, and introduces the software design and the adopted hardware modules. These include fingerprint collection, fingerprint image processing, and fingerprint identification and verification. As proved in the experimental results, this design can fully meet the expectation.

Although the color images contain a large amount of information reflecting the species characteristics, different color models also get different information. The selection of color models is the key to separating crops from background effectively and rapidly. Taking the cotton images collected under natural light as the object, we convert the color components of RGB color model, HSL color model and YIQ color model respectively. Then, we use subjective evaluation and objective evaluation methods, evaluating the 9 color components of conversion. It is concluded that the Q component of the soil, straw and plastic film region gray values remain the same without larger fluctuation when using subjective evaluation method. In the objective evaluation, we use the variance method, average gradient method, gray prediction objective evaluation error statistics method and information entropy method respectively to find the minimum numerical of Q color component suitable for background segmentation.

With the development of high technology weapon, the execution and precision of weapon have made great improvement, which arouse many new challenge for treatment of war wounds. It is very urgent to research how to reduce casualty of individual solider. However, researches focus only on daily application recently. This paper discusses Intelligent Battlefield Treatment System (IBTS), and designs the framework of the service-oriented system based on WCF. The system has the following functions: testing the physical condition of a solider, disposing the distress signals intelligently, dispatching rescuers and assisting self-rescue or mutual-rescue to the wounded. The IBTS characteristics of data aggregate, multi-platform operation and data sharing can improve the treatment efficiency.

Image editing has important applications by changing the image texture, illumination, target location, etc. As an important application of Poisson equation, Poisson image editing processes images on the gradient domain and has been applied to seamless clone, selection editing, image denoising, etc. In this paper, we present a new application of Poisson image editing, which is based on searching source image. The main feature of the new application is all modifying information comes from the source image. Experimental results show that the proposed application performs well.

Design a procedure of K60 MCU using the DMA data transfer driver with OV7670 image sensor and the collected data is transmitted through the serial port to the PC, which achieves real time synchronization of acquisition and display of image data stream.

Blind image inpainting is an approach to estimate the original image, when there is no or little knowledge of the degraded process. In this paper, the algorithm of blind image inpainting is based on edge detection methods to generate one inpainting mask H automatically. And then we combine the inpainting mask H with a TV model to get image blind inpainted. Experiment results demonstrate that the proposed algorithms is effective with application to both the synthetic and real-world images.

Focusing on a sharp decline in the performance of endpoint detection algorithm in a complicated noise environment, a new speech endpoint detection method based on BPNN (back propagation neural network) and multiple features is presented. Firstly, maximum of short-time autocorrelation function and spectrum variance of speech signals are extracted respectively. Secondly, these feature vectors as the input of BP neural network are trained and modeled and then the Genetic Algorithm is used to optimize the BP Neural Network. Finally, the signal's type is determined according to the output of Neural Network. The experiments show that the correct rate of this proposed algorithm is improved, because this method has better robustness and adaptability than algorithm based on maximum of short-time autocorrelation function or spectrum variance.

As the number of cloud computing data centers grows rapidly in recent years, from the perspective of smart grid, they are really large and noticeable electric load. In this paper, we focus on the important role and the potential of data centers as controllable loads in the smart grid. We reviewed relevant research in the area of letting data centers participate in the ancillary services market and demand response programs of the grid, and further investigate the possibility of exploiting the impact of data center placement on the grid. Various opportunities and challenges are summarized, which could provide more chances for researches to explore this field.

In this paper, based on a dumbbell model of tethered satellite, a tension control scheme and a thrust control scheme of tether drag deorbit system in orbital plane are respectively proposed. In the tension control scheme, the tether tension can be measured by tension sensor and controlled by adjusting the tether length with a certain windlass mechanism, so that the librational angles could track the expected value; meanwhile, the tether could come back to the initial value. Because of the windlass mechanism, the slackness of tether can be avoided. In the thrust control scheme, the tether drag deorbit system is with a short tether in orbital maneuvering and the thrust acceleration imposed on the base satellite can be adjusted to avoid the slackness of tether and damp out the librational angles; besides, it is required that the regulation value of thrust acceleration meets with accuracy trajectory in practical engineering. Afterwards, a reasonable deorbit case of an abandoned GEO satellite is studied, in which the control of base satellite is considered; then, the advantages and disadvantages of two control schemes are analyzed and an improved control strategy is given. Numerical simulation results indicate that the slackness of tether can be eliminated and the librational angles are damped out according to the designed controllers, and the stability of the attitude of abandoned satellite is also guaranteed during flight. The proposed control schemes are feasible, which is useful for the flight safety.

The accuracy of the secondary path modeling is critical to the stability of active noise control system. On condition of knowing the input and output of the secondary path, system identification theory can be used to identify the path. Based on the experiment data, correlation analysis is adopted to eliminate the random noise and nonlinear harmonic in the output data in order to obtain the accurate frequency characteristic of the secondary path. After that, Levy's Method is applied to identify the transfer function of the path. Computer simulation results are given respectively, both showing the proposed off-line modeling method is feasible and applicable. At last, Levy's Method is used to attain an accurate secondary path model in the active control of transformer noise experiment and achieves to make the noise sound level decrease about 10dB.

As key component of pointing and tracking mission of satellite, gimbal with two or more degree of freedom is usually mounted on the satellite in order to fulfill certain space mission, such as optical communication between satellites, target recognition, antenna with certain pointing direction and so on. In these missions, gimbal is mostly used to point to and track a space target or a given track. However, for most control method, because of their constant feedback parameter, the gimbal still track target with constant speed when the target is in high-speed or the satellite mounted with gimbal is suddenly undertaken shock. In fact, the gimbal could track target with different speed to improve pointing accuracy under particular circumstance. In order to solve the problem, an algorithm to revise feedback parameter is designed to be different functions of pointing angle error of gimbal. At last a simulation is carried out to verify the improvement of joint angle error using this algorithm under particular circumstance. The results proved that the joint angle error is efficiently decreased with feedback parameter revision.

An integrated attitude control for attitude control, momentum management and power storage is proposed as a momentum-management-based IPACS. The integrated attitude control combines ACMM and IPACS to guarantees the momentum of CMGs and flywheels within acceptable limits as well as satisfying the requirements of attitude control and power storage. The later objective is to testify the foundation of the integrated attitude control by the fact that the momentum management of the integrated attitude control is able to keep the momentum exchange actuators including flywheels and VSCMG out of singularity. Finally, the space station attitude control task during assembly process is illustrated to testify the effectiveness of the integrated attitude control.

A time-varying global output-feedback controller is presented that solves both tracking and stabilization for wheeled mobile robots simultaneously at the torque level. The controller synthesis is based on a coordinate transformation, Lyapunov direct method and backstepping technique. The performance of the proposed controller is demonstrated by simulation.

This paper takes a local furrow opener as the research object. The working performance of this furrow opener has been studied by test and simulation using the discrete element method and EDEM software. On this basis, the effects of working speed and operating depth of furrow operating on tillage forces are studied by simulation analysis. Good agreement has been found between the numerical results and experimental data and the relative errors are within 10%~15%. The feasibility and effectiveness of analysing the furrow operating process using DEM are validated.

The mathematical model of the linear elevator maglev guiding system is analyzed in this paper. For the linear elevator needs strong stability and robustness to run, the integer order PID was expanded to the fractional order, in order to improve the steady state precision, rapidity and robustness of the system, enhance the accuracy of the parameter in fractional order PI^λD^μ controller, the fuzzy control is combined with the fractional order PI^λD^μ control, using the fuzzy logic achieves the parameters online adjustment. The simulations reveal that the system has faster response speed, higher tracking precision, and has stronger robustness to the disturbance.

To effectively suppress the external disturbances and parameter perturbation problem of the maglev guiding system, and improve speed and robustness, the electromagnetic guiding system is exactly linearized using state feedback method, Fractional calculus theory is introduced, the order of integer order PID control was extended to the field of fractional, then fractional order PI^λD^μ Controller was presented, Due to the extra two adjustable parameters compared with traditional PID controller, fractional order PI^λD^μ controllers were expected to show better control performance. The results of the computer simulation show that the proposed controller suppresses the external disturbances and parameter perturbation of the system effectively; the system response speed was increased; at the same time, it had flexible structure and stronger robustness.

To solve such problems as unstable wire transmission caused by overly dense or overlaid local wire arrangement, an electronic cam wire arrangement method is put forward in this paper, adopting servo motor to drive the cam, making the wire arrangement motor follow the speed change of taking-up motor, outputing the wire arrangement motor speed with the deduced functional operation relation, and controlling the wire arrangement pulley to evenly distribute the steel wire on the taking-up roller.

The kinematic relationship between the needle base and the robot's joints is analyzed. The analysis process is based on the aided needle-insertion robot built by our group. The thinking of needle-inserting procedure is confirming the needle base's posture before the needle inserted into tissue. The method of Denavit-Hartenberg (D-H) parameters is used to establish a link robot body-frames with the structural characteristics of the robot. After analysing kinematics, the kinematics equation is presented. The kinematics inverse solutions are obtained with the analytical method and geometry analysis method.

Experiments associated with control principle for automation major generally are based on MATLAB simulation, and they are not combined very well with the control objects. The experimental system aims to meets the teaching and studying requirements, provide experimental platform for learning the principle of automatic control, MCU, embedded system, etc. The main research contents contains design of angular surveying, control & drive module, and PC software. MPU6050 was used for angular surveying, PID control algorithm was used to control the flap go to the target angular, PC software was used for display, analysis, and processing.

The Common Information Model (CIM) is an abstract data model that can be used to represent the major objects in Distribution Management System (DMS) applications. Because the Common Information Model (CIM) doesn't modeling the Distributed Energy Resources (DERs), it can't meet the requirements of DER operation and management for Distribution Management System (DMS) advanced applications. Modeling of DER were studied based on a system point of view, the article initially proposed a CIM extended information model. By analysis the basic structure of the message interaction between DMS and DER, a bidirectional messaging mapping method based on data exchange was proposed.

To extend the lifetime of wireless sensor networks, we proposed an intelligent balanced energy consumption cooperative MAC protocol (IBEC-CMAC) based on the multi-node cooperative transmission model. The protocol has priority to access high-quality channels for reducing energy consumption of each transmission. It can also balance the energy consumption among cooperative nodes by using high residual energy nodes instead of excessively consuming some node's energy. Simulation results show that IBEC-CMAC can obtain longer network lifetime and higher energy utilization than direct transmission.

The automotive industry there are different degrees of impairment of many companies supply chain IT strategy. In this paper, in which the automotive industry supply chain management business cooperation between enterprises loose, poor exchange of information leading to the presence or delays in product customization, supply of raw materials, material control, production planning and control, sales and service and a fast response propose a series of typical problems of scientific and rational supply chain information integration strategy. The strategy through the development system integration platform, improve internal ERP system, implementation of supply chain management and other methods. Put some protection principles in the information process, to ensure the correct implementation of supply chain IT strategy, and ultimately achieve collaborative business development concept and enhance the automotive industry as a whole level of information.

One of the major problem to consider in designing wireless sensor network is how to extend the network lifetime and provide desired quality of service. To achieve this, a broadly-used method is topology control. This paper studies the problem of how to ensure the network fully connected without nodes' location information. The coverage control model based on probabilistic sensing model is proposed in this paper. With random sensor deployment, the sensing node and communicating node number can be calculated based on the size of sensing region and the performance parameters of node (e.g., node sensing radius, communication radius, and so on). Simulation results show that the actual coverage quality provided by sensing nodes scheduled with the proposed coverage control model is higher than the threshold of coverage quality.

The communication network simulation model is researched based on ODK. It develops the self-defined simulation model interface of communication network in Chinese. It designs the function of simulation model with three modules as simulation scene configuration module, node property configuration module, simulation running configuration and control module. Then the simulation model is development based on ODK in order to analyze the network performance. The wired network and satellite network simulation scenes are built by the self-defined simulation models based on ODK. Then the network performance is analyzed by simulation.

This paper implemented an intelligent cold chain distribution system based on the technology of Internet of things, and took the protoplasmic beer logistics transport system as example. It realized the remote real-time monitoring material status, recorded the distribution information, dynamically adjusted the distribution tasks and other functions. At the same time, the system combined the Internet of things technology with weighted filtering algorithm, realized the real-time query of condition curve, emergency alarming, distribution data retrieval, intelligent distribution task arrangement, etc. According to the actual test, it can realize the optimization of inventory structure, and improve the efficiency of cold chain distribution.

With the commencement of construction of the smart grid, the demand power business for reliability and security continues to improve, the reliability transmission of power TD-LTE Wireless Private Network are more and more attention. For TD-LTE power private network, it can provide different QoS services according to the user's business type, to protect the reliable transmission of business. This article describes in detail the AF module of PCC in the EPC network, specifically introduces set up AF module station and QoS mechanisms in the EPS load, fully considers the business characteristics of the special power network, establishing a suitable architecture for mapping QoS parameters, ensuring the implementation of each QoS business. Through using radio bearer management, we can achieve the reliable transmission of each business on physical channel.

The paper focuses on the research and application of neural network for feature extraction from the three dimensional radar echo data, proposed a method of combining the median filter and Kohonen neural network to resolve it. Simulation results show that the proposed method in the paper is feasible, the results is more stable and more accurate, apparently has an advantage over the ordinary self-organization neural network. To validate this method by applied to two groups of real radar data set. Result show that the proposed method is practical with ninety percent accuracy.

The structure of plasma antenna is more complex than metal antenna to reach ideal gain, efficiency, matching, etc. Therefore, earlier plasma antenna prototypes were always featured with larger size and weight. The NSSC research team has developed new prototypes with equivalent performance as metal antenna. In recent research, we also optimized the antenna structure to reduce size and weight. The new plasma antenna prototype is much smaller than the former ones, and its power consumption is also reduced from more than 100 watts to about 30 watts.

The paper presents a secure and efficient threshold group signature scheme aiming at two problems of current threshold group signature schemes: conspiracy attack and inefficiency. Scheme proposed in this paper takes strategy of separating designed clerk who is responsible for collecting and authenticating each individual signature from group, the designed clerk don't participate in distribution of group secret key and has his own public key and private key, designed clerk needs to sign part information of threshold group signature after collecting signatures. Thus verifier has to verify signature of the group after validating signature of the designed clerk. This scheme is proved to be secure against conspiracy attack at last and is more efficient by comparing with other schemes.

The hyperelliptic curve cryptosystem is based on the hyperelliptic curve discrete logarithm problem, and has the higher safety and the shorter operands as compared to the elliptic curve cryptosystem. In this paper, the thought of Schnorr broadcasting multi-signature scheme is used in hyperelliptic digital signature, put forward a new kind of Schnorr type broadcasting multi signature based on Hyperelliptic Curve Cryptosystem, and the safety of the scheme is analyzed. By comparison, the scheme is more safety than which based on elliptic curve cryptosystem. There is a good application in network communication.

By chaotic encryption system and introducing the trusted third party (TTP), in this paper, an anti-cheating visual cryptography scheme (VCS) is proposed. The scheme solved the problem of dishonest participants and improved the security of chaotic encryption system. Simulation results and analysis show that the recovery image is acceptable, the system can detect the cheating in participants effectively and with high security.

The tags' collision is a common problem in RFID (radio frequency identification) system. The problem has affected the integrity of the data transmission during the process of communication in the RFID system. Based on analysis of the existing anti-collision algorithm, a novel anti-collision algorithm is presented. The new algorithm combines the group dynamic frame slotted Aloha algorithm with code division multiple access technology. The algorithm can effectively reduce the collision probability between tags. Under the same number of tags, the algorithm is effective in reducing the reader recognition time and improve overall system throughput rate.

This paper presents a method of setting up WEB System to Integrated Supervision Control System for the requirements of city Rail Transit. First, basic platform and software/hardware architecture of WEB System are discussed. Then the function module, data flow and communication mechanisms are described and a design based on technologies of SVG and Ajax is proposed and the WEB video release function and system security are described. This design makes it possible that important information of Integrated Supervision Control System can be browsed and queried in external Web pages. Watching Real-time images of all cameras in internal network of Rail Transit is possible, which is providing remote viewing and management functions for metro managers.

Ocean observation is the precondition to explore and utilize ocean. How to acquire ocean data in a precise, efficient and real-time way is the key question of ocean surveillance. Traditionally, there are three types of methods for ocean data transmission: underwater acoustic, GPRS via mobile network and satellite communication. However, none of them can meet the requirements of efficiency, accuracy, real-time and low cost at the same time. In this paper, we propose a new wireless transmission system for underwater sensors, which established on FGR wireless modules, combined with inductive coupling lab and offshore experiments confirmed the feasibility and effectiveness of the proposed wireless transmission system.

In this paper, an improved novel approach is developed for the imperialist competitive algorithm to achieve a greater performance. The Nelder-Meand simplex method is applied to execute alternately with the original procedures of the algorithm. The approach is tested on twelve widely-used benchmark functions and is also compared with other relative studies. It is shown that the proposed approach has a faster convergence rate, better search ability, and higher stability than the original algorithm and other relative methods.

Experimental investigations show that depending on the parameters, aggressive machining of aluminum alloy 7075 can trigger several microstructural phenomena including recrystallization, grain growth and crystallographic texture modifications below the machined surface. Increasing the depth of cut will lead to a significant recrystallization and consequently grain refinement. On the other hand, increasing the feed rate will result into development of a unique crystallographic texture. The mechanical and thermal loads imposed to the material experiences by machining leads to such microstructural phenomena. Finite element analysis is used to determine these loads.

Stiffened composite panel is the typical thin wall structure applied in aerospace industry, and its main failure mode is buckling subjected to compressive loading. In this paper, the development of an analysis approach using Finite Element Method on post-buckling behavior of stiffened composite structures under compression was presented. Then, the numerical results of stiffened panel are obtained by FE simulations. A thorough comparison were accomplished by comparing the load carrying capacity and key position strains of the specimen with test. The comparison indicates that the FEM results which adopted developed methodology could meet the demand of engineering application in predicting the post-buckling behavior of intact stiffened structures in aircraft design stage.

In this paper, the structure of heated roller of precoating laminator is analyzed, and the heat transfer process of the heated roller is also studied. One-dimensional steady heat conduction analysis is conducted for the heated roller by applying ANSYS13.0 finite element software, to obtain the temperature field of the heated roller under given boundary conditions, and provide theoretical basis for further speed-up of precoating laminator.

Femtosecond laser ablation on GaAs solar cells for space power has been investigated. In particular, we studied the effects of laser energy and laser number on the ablation of solar cells. Furthermore, the morphologies and microstructure of ablation were characterized by the non-contact optical profilometer and scanning electron microscope (SEM). The photovoltaic properties were tested by the volt ampere characteristic test system. The abaltion threshold of the TiO₂/SiO₂ anti-reflection film of GaAs solar cells was obtained from the linear fit of the dependence of the square diameter of the ablated area with the natural logarithm of the femtosecond laser pulse energy, the resulting threshold of the laser fluence is about 0.31J/cm², and the corresponding energy is 5.4uJ. The ablation depth showed nonlinear dependence of energy. With the fixed energy 6uJ and the increasing laser number, the damage degree increases obviously. Furthermore, the electric properties also suffer a certain degradation. Among all the evaluated electric properties, the photoelectric conversion efficiency (η) degraded remarkably.

In this research an electrode-set is used to investigate via an ultra-precise method for the removal of Indium Tin Oxide (ITO) thin-film microstructure from defective display panels to conquer the low yield rate in display panel production as to from imperfect Indium Tin Oxide layer deposition is well known. This process, which involves the removal of ITO layer substructure by means of an electrochemical removal (ECMR), is of major interest to the optoelectronics semiconductor industry. In this electro machining process a high current flow and high feed rate of the display (color filter) achieves complete and efficient removal of the ITO layer. The ITO thin-film can be removed completely by a proper combination of feed rate and electric power. A small gap between the diameter cathode virtual rotation circle and the diameter virtual rotation circle also corresponds to a higher removal rate. A small anode edge radius with a small cathode edge radius effectively improves dregs discharge and is an advantage when associated with a high workpiece feed rate. This precision method for the recycling of defective display screen color filters is presented as an effective tool for use in the screen manufacturing process. The defective Indium Tin Oxide thin-film can be removed easily and cleanly in a short time. The complete removal of the ITO layer makes it possible to put these panels back into the production line for reuse with a considerable reduction of both waste and production cost.

Optimization is an important part of the design on Unmanned Surface Vehicle (USV). In this paper, considering the rapidity, maneuverability, seakeeping and rollover resistance performance of the USV, the design variables of the optimization system of the USV have been determined a mathematical model for comprehensive optimization of USV has been established. Integrated optimization design of multi-target and multi-constrain is achieved by computer programs. However, the influence degree of each design variable are different on the final optimization results, in order to determine the degree of influence of each design variables, find out the key variables for a further optimization analysis and sensitivity studies of the design variables to optimization will be crucial. For solving this problem, a C++ program has been written by genetic algorithm and five discrete variables have been selected which are used to study the sensitivity of optimization. The results showed that different design variables have different effects on the optimization. The length of the ship and the speed of propeller have the greatest effect on the total objective function. The speed of propeller has a greater impact on both rapidity and seakeeping. The length of ship L, the molded breadth of ship B, the draft of ship T and design speed Vs have a greater sensitivity to maneuverability. Also, molded breadth B has the greatest effect on the rollover resistance.

In this paper, we propose a method to optimize etching yield parameters. By means of defining a fitness function between the actual etching profile and the simulation profile, the etching yield parameters solving problem is transformed into an optimization problem. The problem is nonlinear and high dimensional, and each simulation is computationally expensive. To solve this problem, we need to search a better solution in a multidimensional space. Ordinal optimization and tabu search hybrid algorithm is introduced to solve this complex problem. This method ensures getting good enough solution in an acceptable time. The experimental results illustrate that simulation profile obtained by this method is very similar with the actual etching profile in surface topography. It also proves that our proposed method has feasibility and validity.

This paper studies an autonomous navigation algorithm of spacecraft based on astronomical information of Sun, Earth and Moon. When the Sun and Moon are observable, we realize autonomous navigation through the UKF filter; and we predict the orbit using the track dynamics directly during the eclipse. Also, we present the autonomous navigation algorithm and take a simulation experiment to prove the feasibility of this autonomous navigation technology, the results of simulation suggest that the positioning accuracy of this method is enough to autonomous navigation.

Aiming at the key quality indexes xbt in spinning processing is caused by many complex and interactions factors. A xbt prediction model is put forward based on the PSO-BP neural network, which adjusts weights of BP neural network using particle swarm optimization (PSO) rather than the traditional gradient descent method, is used to improve the convergence speed of neural network and the ability of getting the global optimal solution. As the object of a large number of field detection data in a spinning workshop, the results show that, compared with the traditional BP algorithm and GA-BP algorithm, the PSO-BP neural network can obvious improve yarn quality prediction model precision and stability.

The evapotranspiration estimation is a key item for irrigation program. It has the important practical significance for high stable yield and water-saving in the region of red soil, South China. Penman-Monteith equation, recommended by FAO, is verified to be the most effective calculation to actual evaporation in many regions of the world. The only default is it has to use complete meteorological factors. To solve this problem, we are trying to find out a artificial neural network model (ANN) which can easily get its information and easy to calculate as well as guaranteed accuracy. A Bowen ratio energy balance (BREB) system and automatic weather station were employed for simultaneous measurement of actual evapotranspiration above the rice field. The frequency of 20-min recording provided the possibility for the estimation of daily and hourly evapotranspiration. The determined coefficient from the artificial neural network model on daily scale R² is 0.9642, while hourly scale R² is 0.9880. The reason was that the hourly scale training samples was greater than the daily scale measures. In general, the model gives an effective and feasible way for the evaluation of paddy rice evapotranspiration by the conventional parameters.

Touch screens have been widely used in many kinds of electronic products. For many capacitive touch sensing devices, they always suffer from a variety of electronic signal noises. So when a finger touches the screen, it is difficult to calculate the exact touch position on the screen. We proposed an algorithm of calculating the position in a self-capacitance touch screen to alleviate noise interference. We determined the touch region by calculating the differences between current data and reference data in every channel. In the touch region we divided it into different ranges to calculate the touch point. The simulation results show that the algorithm that we proposed can alleviate noise interference effectively and obtain the exact positioning on touch screen accurately.

Graphics & image making is an important field in computer application, in which visualization software has been widely used with the characteristics of convenience and quick. However, it was thought by modeling designers that the software had been limited in it's function and flexibility because mathematics modeling platform was not built. A non-visualization graphics software appearing at this moment enabled the graphics & image design has a very good mathematics modeling platform. In the paper, a polished pyramid is established by multivariate spline function algorithm, and validate the non-visualization software is good in mathematical modeling.

By analyzing the influence factors of the investment capacity of power grid, to depreciation cost, sales price and sales quantity, net profit, financing and GDP of the second industry as the dependent variable to build the investment capacity analysis model. After carrying out Kolmogorov-Smirnov test, get the probability distribution of each influence factor. Finally, obtained the grid investment capacity uncertainty of analysis results by Monte Carlo simulation.

Traditional distribution network based on AC current has severely suffered from low efficiency in actual application, especially when an increasing numbers of home appliances are technically rely on DC current. In this paper, the energy efficiency of DC distribution system was analysed by means of comparison with traditional AC system. Firstly four types of typical appliances were discussed in terms of energy efficiency, which are the server, air conditioner, laptop computer and lighting. And then Models were further built up to perform the case study of three familiar situations in modern life, namely a typical living apartment, an office building and a data center. Finally, the power efficiencies of the three buildings were sorted up for comparison and analysis.

Recently, iterative methods are used in the power system to solve large linear equations. This work implemented the conjugate gradient method with preconditioners on GPU in parallel for speedup. Meanwhile, in order to improve convergence rate and reduce the number of iterative steps required for convergence, we tested different preconditioners and ultimately the incomplete LU preconditioning was chosen. In the numerical experiment, result shows the conjugate gradient method with ILU preconditioner on GPU can achieve 2.46× speedup than CPU.

Solar array, converting sunlight into electricity, is one of the most important components in satellite energy subsystem. It is significant for in-orbit satellite safety that solar array and its subsidiaries work normally. An abnormal phenomenon that the output current of one solar array suddenly decreased happened in a GEO satellite. Combined with the structure of the solar array system and the trends of relevant parameters during the abnormality, the paper analyzed the possible reasons, and detected the root cause, and finally provided an emergency treatment for this kind of abnormality.

Landmine electrical fuse circuits on the battlefield will be interfered by natural electromagnetic pulse such as electrostatic discharge and lightning, which will undermine the circuit performance and trigger the early burst or mistaken burst of the landmines. In this paper, numerically simulation analysis is conducted on the electrostatic and lightning effects received by the landmine fuse circuit by means of building simulation model of the fuse circuit and analyzing the electric and magnetic field changes of the observation The mechanism of the influence of electrostatic discharge and lightning on the sensitivity of the fuse circuit is explored. The conclusion is that electrostatic effect cause the mistaken burst of the landmines by enabling the interference voltage to reach the components turn-on threshold and cause the circuit malfunction, and lighting effect by long period accumulation of energy.

A bidirectional five-level power processing interface for low voltage battery energy storage system (BESS) is developed in this paper. This BESS consists of a bidirectional five-level DC-AC converter, a bidirectional dual boost/buck DC-DC converter and a battery set. This five-level DC-AC converter includes a bidirectional full-bridge converter and a bidirectional dual buck DC-DC converter. The five-level power processing interface can charge power to the battery set form the utility or discharge the power from the battery set to the utility depending on the demanded operation of user. A hardware prototype is developed to verify the performance of this BESS. Experimental results show the performance of the developed BESS is as expected.

A solar charger is proposed in this paper. The proposed solar charger, composed of a solar module and dual buck converter, is used to charge a battery set with two batteries. The dual buck converter is configured by two buck converters connected in cascade. Only one inductor is used in the dual buck power converter to simplify its power circuit. The dual buck converter is an interface between the solar module and two batteries, and it is controlled to adjust the voltage of solar module to trace the maximum power point of solar module. In addition, the dual buck converter can charge two batteries by using the output power of solar module. The charging power for individual battery is adjusted by individual buck power converter of the dual buck converter according to its voltage so as to perform the function of voltage equalization. A prototype is developed and tested to verify the performance of proposed solar charger. The experimental results show the proposed solar charger has the expected functions.

Virtual machine technique is employed to improve system utilization and energy efficiency. However, isolation effect of virtualization imposes challenges to power management. A multi-level power behavior statistic framework is introduced to support power profiling of virtual device, virtual machine and host. Power management mechanisms are virtualized to map power management operations between virtual device and physical device. The power consumption of a virtual device is virtualized according to its performance share from the physical device. The experiments demonstrated that our power management virtualization solution has negligible decline of system performance.

Scenery storage technology can effectively utilize wind power and photovoltaic power generation in the natural complementary of energy and time, improve the reliability of power supply, has attracted more and more attention. At present, the scenery storage research in the field application of the technology is relatively small, based on the actual substation as the research object, put forward the scenery storage technology as substation load power supply three applications of lighting power, standby power station and DC system, and through the detailed implementation of the program design, investment analysis, research the scenery with the feasibility of electrical energy storage technology system application in station. To solve the weak power grid, substation remote and backward areas should not be from the outside to obtain reliable power supply problems, the station area electric system design provides a new way of thinking, which has important practical engineering value.

The coupling of eco-economic system is a systematic project in region with soil erosion. The system coupling, harmony, rebalancing and self-evolution can be achieved by reducing system pressure, improving system state and enhancing positive human response. While there are basic requirements regarding availability of input and output boundary flows and sinks, sustainability is centrally a feature of system configuration. A system must provide a basis of positionally-balancing, wholeness-enhancing centers of activity. One aspect of this system balance is between efficiency and redundancy which can be measured in ecological and economic systems using information-based network analysis. This paper overviews these concepts and methods and provide examples from economic and ecological systems and discuss the meaning of the differences in outcome.

Based on the concepts of system safety engineering, life-cycle and interface that comes from American system safety standard MIL-STD-882E, and apply them to the process of risk analysis and management of large-scale activities. Identify the involved personnel, departments, funds and other contents throughout the life cycle of large-scale activities. Recognize and classify the ultimate risk sources of people, objects and environment of large-scale activities from the perspective of interface. Put forward the accident cause analysis model according to the previous large-scale activities' accidents and combine with the analysis of the risk source interface. Analyze the risks of each interface and summary various types of risks the large-scale activities faced. Come up with the risk management consciousness, policies and regulations, risk control and supervision departments improvement ideas.

This paper analyses the complication of influence construction of eco-tourism park decision-making, through study on gray situation theory of decision making establishes an new model of decision-making, — weighted gray situation decision-making model based on the gray situation theory of decision-making, and on the empirical analysis, it gives a new method of gray situation theory used in decision-making of construction.

Investment in science and technology is the source of science and technology activities, achieving industrial upgrading, promoting the economic development of important premise. In Songjiang district for example, through the establishment of evaluation index system of science and technology investment and regional economic development from 2009 to 2013 of Songjiang district. We used the gray theory method to analyze the investment in science and technology and the comprehensive level of regional economic development. Based on the empirical analysis problems of science and technology input and economic development, some suggestions were given.

In project managing, the performance salary management mode is often used to motivate project managers and other similar staff to improve performance or reduce the cost. But the engineering activities who own a lot of internal and external uncertain factors can not be known by the principle. It is difficult for to develop a suitable incentive target to project managers etch. This paper thinks that the manager self master the maximum of information on engineering activities. So this paper sets up an incentive model: the project managers themselves report performance objectives; owner gives the managers reward or punishment combined with their reported performance and actual performance. The model to ensure that the project manager is only accurate self reported its results to get the maximum profit. At the same time, it cans incentive managers to improve performance or reduce the cost. This paper focuses on setting up the model, analyzing the model parameters. And cite an example analyze them.

For the large cost, low data availability in the condition of multi-node storage and poor capacity of intrusion tolerance of traditional disaster recovery which is based on simple copy, this paper put forward a distributed disaster recovery scheme based on raptor codes. This article introduces the principle of raptor codes, and analyses its coding advantages, and gives a comparative analysis between this solution and traditional solutions through the aspects of redundancy, data availability and capacity of intrusion tolerance. The results show that the distributed disaster recovery solution based on raptor codes can achieve higher data availability as well as better intrusion tolerance capabilities in the premise of lower redundancy.

This article introduces a new method, named M-Bayesian credible limit method, to estimate systems reliability derived from binomial distribution, in the case of zero-failure data. Firstly, the definition of M-Bayesian lower credible limit is provided. Moreover, formulas of M-Bayesian lower credible limits are provided. Secondly, properties of M-Bayesian lower credible limits is discussed, we will see that the M-Bayesian lower credible limit method is superior to the corresponding classical lower confidence limit method. Finally, the new estimation method is applied to a numerical example. Through the example the efficiency and easiness of operation of this method are commended.

The price elasticity is very important for the prediction of electricity demand. This paper mainly establishes the price elasticity coefficient for electricity in single period and inter-temporal. Then, a charging strategy is established based on these coefficients. To evaluate the strategy proposed, simulations of the two elastic coefficients are carried out based on the history data of a certain region.

It's a key problem need to be solved in the urban-rural integration research to scientifically evaluate the development level of urban-rural integration. Based on the analysis of many factors influencing the urban-rural integration, this article is conducting an empirical research of the evaluation indicator system, as well as applying analytic hierarchy process (AHP). By the means of structuring the judgment matrix, and conducting a consistency test, both the eigenvectors corresponding to the judgment matrix and the specific index weight can be obtained.

This paper presents a new method to estimate the system harmonic impedance and the harmonic emission level based on the improved weighted support vector machine (WSVM) regression. According to the differences of harmonic measurement data at the point of common coupling, the WSVM can be obtained by correcting the error requirement of SVM by Euclidean distance as a weighted index and determining the weighted coefficient of penalty parameter by linear interpolation, then the system harmonic impedance and the harmonic emission level can be calculated. Based on analyzing the simulation of the circuit and the practical application of field data, it proves that the proposed method can effectively restrain the influence caused by the fluctuation of background harmonic on estimation results. Compared with other methods, the estimate result of the proposed method is more reasonable.

In order to solve the problem that naval replenishment equipment could not be independent development and production, and In view of the present status that there is not a engineering model for sealift highline cable, the paper researched, The paper research multi-flexible-body system dynamics model of the rope and used it to simulate sealift Highline cable based on the multi-body dynamics theory. Meanwhile the paper simulated to the transverse replenishment process for sea dry cargo by using dynamics tools ADAMS, through the analysis of simulation results. Then the conclusion is gained, which the multi-flexible-body dynamic model is more close to the sealift highline cable and the dynamic calculation results is closer to the actual situation.

The software industry develops rapidly without technology innovation (TI) in Jiangsu Province of China. Using the system dynamics (SD) method, this paper researched the causal relationship between TI's factors, and established the SD model. Then the model was tested and simulated. The results show that the simulation values tally with the actual values. Internal and external power factors of enterprises are positively related with TI. Then enterprises' scientific funds and the government's support are main power sources to promote TI.

The paper researches rigid flexible system dynamics model of the rope, and used it to simulate sealift Highline based on the multi-body dynamics theory. Meanwhile the paper simulated to the sea dry cargo replenishment of transverse process, then gain the conclusion that the rigid flexible dynamic model get in the paper is more close to the Caucasus, and the dynamic calculation results closer to the actual situation, through the analysis of simulation results, and combined with the actual situation in the Caucasus the structure of overhead cable.

Using the data of 237 Jiangsu logistics firms, this paper empirically studies the relationship among organizational learning capability, business model innovation, strategic flexibility. The results show as follows; organizational learning capability has positive impacts on business model innovation performance; strategic flexibility plays mediating roles on the relationship between organizational learning capability and business model innovation; interaction among strategic flexibility, explorative learning and exploitative learning play significant roles in radical business model innovation and incremental business model innovation.

The reliability analysis is one of the key problems in the safety analysis of systems. There exists a new sort of series system, for which the traditional reliability methods are no longer applicable. In this paper, it is demonstrated that the new series system could be boiled down to a cascade control system. Then the dynamic characteristics of the cascade control system are described in detail, and a system reliability criterion with theoretical basis is obtained based on the uniform continuity theorem. At last, a case is given to show the application of this method, and a security safeguard is provided to the cascade reservoirs system.

According to the characteristic of e-waste reverse logistics, environmental performance evaluation system of electronic waste reverse logistics enterprise is proposed. We use fuzzy analytic hierarchy process method to evaluate the system. In addition, this paper analyzes the enterprise X, as an example, to discuss the evaluation method. It's important to point out attributes and indexes which should be strengthen during the process of ewaste reverse logistics and provide guidance suggestions to domestic e-waste reverse logistics enterprises.

With the increasing pressure in energy conservation and emissions reduction, the new energy revolution in China is imminent. The implementation of electric energy substitution and cleaner alternatives is an important way to resolve the contradiction among economic growth, energy saving and emission reduction. This article demonstrates that China is in the second stage which energy consumption and GDP is increasing together with the reducing of energy consumption intensity based on the theory of decoupling. At the same time, new energy revolution needs to be realized through the increasing of the carbon productivity and the proportion of new energy.

Dynamic Bayesian networks is a powerful tool in modeling multivariate stochastic processes. At present, the methods of learning dynamic Bayesian network structure have low efficiency and reliability and can not make certain the causal direction of all edges. In this paper, an high effective and reliable and practical method of learning dynamic Bayesian network structure is presented to find dynamic causal knowledge from data. Firstly, a maximal likelihood tree is built from data. Then a causal tree is obtained by orienting the edges of the maximal likelihood tree and the variables can be sorted in the light of the causal tree. Finally, a dynamic Bayesian network structure can be established based on the causal order of variables and local search & scoring method by finding father nodes of a node.

This paper combines principal component analysis and support vector machine (SVM) regression to analysis stock. Principal component analysis method is applied to extract contribution rate to meet 90% of the principal component as the input variables with Shanghai Composite Index and Shenhua Holdings to be modeled and predicted. Results of the demonstration shows that PCA-SVM model is more accurate to predict the opening price of the Shanghai Composite Index and Shenhua Holding. The final result of fitting that mean squared error of train set and test set and squared correlation coefficient of train set R² and test set R² of the Shanghai Composite Index and Shenhua Holding in PCA-SVM model are 0.000029, 0.000059, 99.91%, 99.10%, 0.000073, 0.000060, 99.74%, 98.43%, respectively. Meanwhile, the results in SVM model are 0.000038, 0.000799, 99.86%, 93.44%, 0.000042, 0.000268, 99.85%, 91.93%, respectively. The above data prove the advantages of the PCA-SVM model in the stock prediction.

In recent years, the development of electronic commerce in our country to speed up the pace. The role of logistics has been highlighted, more and more electronic commerce enterprise are beginning to realize the importance of logistics in the success or failure of the enterprise. In this paper, the author take Jingdong Mall for example, performing a SWOT analysis of their current situation of self-built logistics system, find out the problems existing in the current Jingdong Mall logistics distribution and give appropriate recommendations.

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