Abstract：In order to improve the logistics level of fresh prairie fresh products and promote the transformation and upgrading of the logistics of fresh grassland products, a new concept of cloud logistics is put forward. On this basis, an optimal scheduling algorithm for shared cloud logistics resources is designed for fresh prairie fresh products.First, we use DFS, Mapreduce and other big data related technologies to achieve parallel computing and design new logistics resource encapsulation and organization form in this algorithm. We analyze the existing problems of cloud logistics resource scheduling algorithm and propose solutions. A shared cloud logistics resource optimization scheduling algorithm for grassland fresh products is adopted. Dynamic NSGA-II（Multiobjective genetic algorithm） resource planning model is used to find a fast solution for NSGA-II models, and provide a solution for cloud logistics to break through the bottleneck of development. Experiments show that the algorithm is efficient, applicable and stable, and it can effectively improve the current level of fresh grassland logistics, and promote the transformation and upgrading of the current logistics enterprises.

Abstract：With the development of power communication technology, a large number of distributed power communication subsystems and massive power communication data have been generated. It is important to mine important information in the vast amounts of data. Cluster analysis, as an effective means of data processing and information mining, has been widely used in power communication. However, the traditional clustering algorithms can not meet the time performance requirements when dealing with massive power data. To solve this problem, a parallel k-medoids clustering algorithm based on MapReduce model is proposed to support the effective analysis and utilization of power data. The algorithm uses density-based clustering method to optimize the selection strategy of k-medoids initial point, and implements the algorithm parallelization using MapReduce programming framework under Hadoop platform. Experimental results show that compared with other algorithms, the improved parallel algorithm reduces the clustering time and improves the clustering accuracy.

Abstract：Supported intelligence engineering, this article is based on the framework of complex adaptive system, modeling the time series, interactivity, stochastics of power system production simulation to assist the theory research in the area of power system planning, demand side management and so on. The model simulates different links and functions of power system via user-requirements module, power grid scheduling module, electricity market module and electric power production module. The result shows that the production simulation model can play a supporting role in the research of power development planning, demand side management and electricity market modelling.

Abstract：Based on massive equipment test data, using big data mining idea to build equipment big data analysis, processing and intelligent information service，it is one of the key technologies for developing equipment data engineering. In this paper, the characteristics of equipment test data are analyzed, then using big data processing and analysis ideas, presents an equipment big data model, which provides a reference for the construction of equipment data engineering. In the end, an example of navy army is provided.

Abstract：In the traditional grain depot, the indoor location accuracy of the temperature measurement nodes depends on a large number of beacon nodes, which brings great inconvenience to practical engineering applications. To simplify the application model, a differential location model is established according to the distance attenuation curve characteristics of RSSI(Received Signal Strength Indication). Moreover, a positioning method—based on RSSI differential location model of the grain temperature measurement node was proposed. The model adopts dynamic beacon nodes, and determines the nearest unknown node from the beacon node according to the RSSI value, and finally locates all the nodes. Experiments show that the temperature measurement nodes based on the RSSI differential location model do not need additional placement of beacon nodes, which can reduce the random error of the environment and the positioning accuracy is higher than that of the traditional ranging location model.

Abstract：The receiver is the core of distance measuring equipment(DME), and the main functions need to realize include receiving the Gauss shaped interrogation pulse from the aircraft, in order to measure the distance from the aircraft. The dissertation mainly studies the DME receiver technology, using digital and modular design method, dividing it into different modules according to the function, and dividing the design into digital front-end and signal processing section. Among them, digital front-end is composed of RF processing module, semi amplitude demodulation module; the back-end signal processing is composed of coding and decoding module, Morse identification pulse generating module, transmitting pulse priority control module. Testing shows the circuit operates with stable performance and high reliability.

Abstract：A power supply module is designed to supply RF low-noise amplifier(LNA) which is integrated in monolithic microwave integrated circuit(MMIC). The power supply module integrated in MMIC and uses a low dropout regulator(LDO) structure to produce a stable low noise voltage output. Due to the large noise of the traditional LDO structure, the circuit noise is reduced by the new structure combined with the voltage preconditioning and the RC low pass filter, and a fast start filter module is designed for the filter circuit. The simulation results show that the input voltage is 5 V, the output voltage is adjustable in the range of 1~4.2 V, the voltage output line regulation rate(LNR) is 8.2 mV/V, the load regulation rate(LDR) is 83.3 μV/mA, the output noise voltage in the range of 1 kHz～100 kHz integration of 34.94 μVrms, to meet the LNA power supply requirements.

Abstract：The circuit techniques that suppress pop-click noise and reduce saturation distortion are presented for class D amplifier in mobile application. Pop-click noise level is effectively suppressed by detecting power voltage, controlling preamplifier and driver circuits of power stage in sequence, and providing discharge path between amplifier output and ground. Meanwhile, in class D power amplifier with feedback loop structure, the integrator is easy to saturate when a large amplitude signal is fed into the input terminal of the amplifier. Consequently, the saturation distortion is generated in amplifier output when the pulse width modulator fails to modulate input signal due to integrator saturation. The compensation technique in the pulse width modulator output can effectively reduce the saturation distortion, and also eliminate the risk of the transistor switch thermal damage due to power MOSFET still on state. The proposed class D amplifier with the above features was fabricated with 0.35 μm CMOS process. Pop-click noise level of 1.5 mV，THD+N of 0.025% can be achieved in 3.6 V power supply.

Abstract：Described the generation theory of negative voltage and negative current in Latch-up test and the theory of chain reaction caused by inner parasitic bipolar transistor. Then analyzed the influence of negative current in chip level with examples of analog voltage buffer and LDO. Finally, proposed a series of action list of how to protect negative current in chip level.

Abstract：The traditional bridage full wave RF-DC conversion circuit ignores the diode conduction loss resulting to system efficiency down. This paper design a RF-DC converter circuit of the receiving system of wireless power transmission based on class-E zero-voltage-switching at 8 MHz of resonant frequency and 1.21 W of an input power. The simulation results show the efficiency of RF-DC converter is higher than the traditional bridge full wave RF-DC converter circuit. The efficiency of RF-DC converter is about 92%.

Abstract：The modern cryptographic protocol specifies that only authorized participants can gain access to the key and obtain information. However, the way to leak passwords through intrusion into the system is endless, causing serious problems for modern information security. On this issue, the advantages of PUF for information security to provide further protection. For example:Arbiter PUF，RO PUF,SRAM PUF. This project is designed to integrate the physical information into the circuit design to achieve the design of the PUF. Comparing to existing RO-PUF, PISO shift register reduce the hardware. A 4-bit challenge can produce 16-bit random response, which greatly increases the number of challenge response pair, and the internal Hamming distance is measured by the FPGA.

Abstract：The buried metal pipeline has serious corrosion problems. However, the methods for evaluating cathodic protection in China are mostly manual inspection, which results in large errors in measurement data, incomplete data and inconvenient viewing. In this paper, a remote data acquisition system is proposed to evaluate cathodic protection of metal pipe. A high-precision acquisition circuit is designed, and the cathodic protection parameters of the buried oil pipeline are collected and sent back to the data server through the remote transmission mode of GPRS/CDMA. The current protection status of the protected pipeline can be obtained via analyzing and processing the data in the server, which provides an important basis for the protection of the pipeline. Moreover, a dedicated power management module has been designed and an ultra-low power processor MSP430F5438 is selected as the main control chip in this module, so that the system current is less than 20 μA in sleep mode. The system can work continuously for more than 10 years via a cooperative power supply between the 12 000 mAh battery and solar cell, which makes up for the lack of power supply in the field.

Abstract：This paper researches the application of trusted computing technology on baseboard management controller(BMC) which is important firmware in server. As the trust root of system, BMC and trusted cryptography module(TCM) can measure the firmware of domestic BMC and basic input output system(BIOS) during the boot of server, and the complete trust chain is built finally. In order to communicate with TCM, the logic of the FPGA on the BMC board is designed. Besides, the trusted software is developed in U-Boot. The results show that when the trust chain is built, it can detect if the firmware has been maliciously tampered, so the security and trusted environment of the server is established.

Abstract：Model based development(MBD) has been used in modern automotive electronic control field widely. As a strategy development and automatic code generation tool, MATLAB/Simulink software has also been used widely. Engine electronic control unit(ECU) development has a long history, and a lot of reliable C source code has been accumulated. We couldn′t abandon these resources while in the model-based development，so the integration of old and new mode is necessary. Since the traditional hand-written look-up table functions and memory management functions have high reliability and a product level, this article develops the corresponding data management system to match it based on the Embedded Coder. The original data type definition has been imported in to the MATLAB environment. Instead of Lookup Table module in Simulink, a new lookup module library has been created which can generate code to call the original hand-written lookup table function. The result shows that the developed data management system can match the traditional hand-written code well, and the traditional experience also helps to speed up the model based development.

Abstract：In this paper, a deep convolution neural network system is designed and implemented by FPGA hardware platform for the problem that the convolution neural network(CNN) in deep learning is slow and time consuming under the CPU platform. The system uses the rectified linear unit(ReLU) as the characteristic output activation function and uses the Softmax function as the output classifier. Assembly line and the parallelism are used for the feature operation of each layer, so that 295 convolution operations in the entire CNN can be completed in one system clock cycle. The system finally uses the MNIST data set as the experimental, and experimental results show that the training time of FPGA work on 50 MHz is 8.7 times higher than that of general-purpose CPU, and the accuracy rate of system identification after 2 000 iterations is 92.42%.

Abstract：The motor has become an important and inseparable part of the electromechanical control in the field of mechanical control，therefore making the motor run and stop precisely has becomes a major research direction. Nowdays,most motor positioning algorithms are based on the optocouplers to complete.However,this article puts forward a new algorithm for motor positioning based on optocouplers and hysteresis comparator which starts from another point of view. Without changing the effect of motor positioning，the number of optocouplers can be reduced.

Abstract：The mud and flow rate of debris flow in the formation process will change significantly, so a low-power remote monitoring system of debris flow based on STM32 and AD7706 is designed. The system can realize real-time online monitoring and early warning of gully rainfall, mud, and the velocity of debris flow. It can achieve data storage through the MicroSD card and use GPRS/Beidou dual-mode communication network to send the monitoring data to the geological disaster monitoring and early warning cloud server. The system can realize 24-hour continuous data acquisition, transmission, analysis and early warning judgement of debris flow field parameters, which can be applied in the debris flow disaster monitoring.

Abstract：In order to enable the four rotorcraft to track the ground moving target, the spatial position control strategy of four rotorcraft is studied. Firstly, the attitude PID control of the four rotorcraft is improved and the appropriate parameters are set, which makes the rudder response of the four rotorcraft more rapid. Then, the OpenMV is used to obtain the position of the ground moving target relative to the aircraft, and the feedback signal of the ground moving target is obtained. Finally, according to the comparison effect between the single-stage PID and the cascade PID control vehicle to track the ground moving target, the cascade PID control vehicle is selected to track the ground moving target. Experiments show that the control strategy can enable the aircraft to track a certain speed of the car. It has a certain practical value.

Abstract：Most calibration systems developed in our country for now are based on the CAN calibration protocol(CCP), which is specially designed for the CAN bus, and thus has poor compatibility and expansibility for other buses. However, the protocol layer of the universal measurement and calibration protocol(XCP) is independent from any specific physical transport layer. Based on that, a multi-bus supported ECU calibration system is implemented, which is in accordance with the widely accepted industry norms of measurement, calibration and diagnostic system made by association for standardization of automation and measuring system(ASAM-MCD). The XCP driver is developed in both master and slave nodes, and XCP transport layers for CAN and FlexRay are designed respectively on the basis of the same protocol layer, so that the system is suitable for both the mature CAN bus and the promising FlexRay bus. The system is tested through measurement and calibration experiments, and the results demonstrate that it satisfies the requirements well.

Abstract：As a high speed and long running distance important public transport vehicle, high-speed rail has the properties of large passenger capacity, high passenger density and high running frequency. Since mobile devices such as laptops, smart phones, and smart watches are more and more popular these years, passengers use mobile devices as rest and entertainment method more and more frequently. Thus, the demand of wireless networking using in high-speed rail is growing fast. But the high mobility caused by the 350 km/h velocity of high-speed rail brings huge problem and challenge. The high-speed rail WiFi service system uses modern information technology and provides local area network service in carriage and access of the Internet for the passengers. Analysis of real trace that passengers access the Internet in high-speed rail shows that most flows are small, low rate and has short duration time. By using cellular service from different operators, the high-speed rail WiFi system can provide passengers acceptable throughput and stable wireless network environment.

Abstract：This paper designs and realizes the control system of remote control of building windows with mobile phone APP. The system is composed of a mobile phone terminal, a master controller and an electric window opener. The mobile terminal sends a control instruction to the main controller, and the master controller controls the electric window opener to realize the opening, the suspension and the closing of the window. The design of the system realizes the real-time display of the state and position of the window on the mobile phone interface, and provides a practical technical scheme for conveniently and remotely controlling the window switch through the mobile phone.

Abstract：For the problems that the transient signals output by gyroscope sensors change rapidly when intelligent car is turning especially in sharp turn, intelligent car own craft and structure is limited, and the stability of the signals is poor, a core verification method based on the STM32 turning control chip was designed. And FPGA was used in the instrument characteristic improvement unit. The test results show that the dynamic characteristic of traditional turning is effectively improved by collecting and amplifying the turning signals and cascading feature improvement module， and the precision of the real time signal processing in sharp turn is improved.

Abstract：Due to the ship dynamic positioning control system is a complex nonlinear system, the conventional PID parameters are difficult to achieve the desired control effect, and the immune electromagnetism-like mechanism(IEM) algorithm is proposed for PID controller parameter self-tuning. In view of the weakness that the electromagnetism-like mechanism(EM) algorithm is easy to fall into the local optimum, the immune information processing mechanism is introduced, and the unique concentration selection mechanism is used to preserve the fine and the particles are close to the optimal position by the immune operator. The performance analysis shows that the IEM algorithm has better stability and better convergence in the self-tuning of PID parameters compared to EM and PSO algorithm. Finally, the position and bow of DP four stage sea condition model are simulated. The simulation results show that compared with the conventional PID controller, the PID controller solved by IEM method has faster response, better stability and smaller steady-state error.

Abstract：Spherical inner detector has a large error in measuring pipeline inclination for its difficulty to calibrate pipeline magnetic shield model. Against to this drawback, a new method of measuring pipeline inclination was proposed without using pipeline magnetic shield model. It was based on cycloidal motion characteristics of the sensor in spherical inner detector while rolling inside pipelines, uneven radial distributions of magnetic fields inside after unilaterally magnetized, and the coordinate transformation method. The method uses the acceleration signal to solve the rotation matrix, and then uses the location of the maximum point of the magnetic signal to solve the pipeline inclination. The mathematical model of the method was established while its algorithm was also designed and implemented. This method was verified by simulation and experiments. The experimental results show that they are highly consistent with the simulate results. Good measurement accuracy can be obtained and maximum relative error is 3.55%.

Abstract：Harvesting energy from the surrounding environment is an effective way to replenish energy in energy-constrained wireless networks. An energy-aware distributed relay selection algorithm(MHE) is proposed to improve the reliability of information transmission. Firstly, the algorithm compares the energy-constrained relay nodes′ energy to select cooperative relay. Then, the selected relay node forwards the amplified information with the energy harvesting from the source′s RF signal. Finally, the throughput of the system with proposed algorithm is gotten and it′s proved that the proposed selection protocols indeed can improve the system performances through theory. Simulation results have verified the analysis and theorems.

Abstract：To resolve the problem that the standard aggregation frame mechanism and slot application method of the existing IEEE802.15.3c and High Efficient Fairness MAC(HEF-MAC) protocol applied to the terahertz wireless personal area network is not perfect, a high time slot utilization MAC protocol for terahertz wireless personal area networks(HTSU-MAC) is proposed. By using the new mechanism such as on-demand retransmission of frame aggregation and utilization of no-acknowledged time slot, HTSU-MAC makes the channel slot resources used efficiently and the network throughput greatly improved. The theoretical analysis proves the superiority of the protocol, and the simulation results show that the HTSU-MAC protocol has better network performance than other protocols.

Abstract：Sparse code multiple access(SCMA) is a novel non-orthogonal multiple access scheme to face the future 5G communication. In allusion to the problem that sparse code multiple access(SCMA) system based on a logarithm-domain MAX-Log message passing algorithm(MPA) for multiuser detection has lower detection performance, this paper adopts a method that the message updating formula of the resource node is multiplied by a factor, which can reduce the lost messages of the original MAX-Log MPA algorithm for approximate computing the updating message of resource node. The theory and simulation results show that the improved MAX-Log MPA multiuser detection algorithm can not only maintain the low complexity of the original MAX-Log MPA algorithm, but also obtains better detection performance.

Abstract：This paper presents a new radio frequency identification(RFID) tag that based on frequency domain coding. This tag consists of a certain number of square patch resonators placed on a certain substrate. Due to the symmetry of its structure, the tag can be read from any orientation with the reader antennas. The Radar Cross Section(RCS) responding of the tag over the FCC authorizes UWB communications ranges from 3.1 to 10.6 GHz. A better frequency identification can be obtained after using the improved Matrix Pencil Method(MPM) to extract the resonance points and differential encoding algorithm analysis. Compared with the previous chipless RFID tags，a capacity of 16 bit can be reached. It has a relatively high coding capacity and better direction independent. It is more suitable for the current market demand.

Abstract：Global Navigation Satellite System(GNSS) is of great significance for anti-interference research. The signal acquisition of anti-interference technology based on antenna array needs multiplex signals, which is difficult for the general signal channel Radio Frequency(RF) front-end. The system was designed for the GPS anti-jamming RF front-end of four-element antenna array. The system received four channels of GPS signals through the four-element antenna array. After the processing of a low noise amplifier, RF filters ,RF chip of GP2015 and down-conversion, the received GPS signals was transformed into the intermediate frequency signal, which was supplied to the A/D sampling behind. Besides, the sampling data was sent to anti-jamming modules to realize anti-jamming. Device selection for each unit is described in detail. Finally, the RF front-end of the whole circuit was justified. The feasibility of the system is verified by practical application.

Abstract：In vehicular communication system, two-way cooperative communication can improve system performance. However, vehicle mobile communication will cause the two-way link correlation and thus reduce the system outage performance. To solve the problem, a vehicular communication system model of two-way link correlation is presented, where the correlation coefficient is used to describe two-way link correlation and the system outage performance analysis is also simplified. Furthermore, a closed-form expression for the outage probability with AF cooperation mode is derived, and the optimal power allocation under the certain outage probability is gotten. Numerical results show that the correlation coefficient has more influences on outage performance than that of the power allocation coefficient. Moreover, compared with the optimal power allocation in one-way AF relay system, the total power with the correlation coefficient power allocation can be reduced about 4 dB.

Abstract：A Multiple Input Multiple Output(MIMO) mobile phone antenna suitable for mobile terminal is proposed in this paper. The proposed antenna is composed of two center-symmetrical antenna units. In order to expand the bandwidth of the antenna, these two units are fed by coupling mode, and it ensures the miniaturization of the antenna. To obtain a high isolation between the two antenna units, a T-shaped branch is designed on the middle of the ground, and the neutralization line is introduced used to connect two units. The simulation results show that the proposed antenna can cover two important operating frequency bands of 824 MHz～960 MHz and 2 300 MHz～2 600 MHz, and the physical length of the neutralization line is reduced effectively due to the lumped inductance. The proposed antenna was fabricated and tested, and the measurement results were consistent with the simulation results.

Abstract：A method is proposed to separate the lung parenchyma from thoracic regions of background noise. Firstly, the traditional region-growing method is applied to locate the contour of the lung. Secondly, the lung boundary noise is removed,the adaptive curvature threshold method is used to repair the lung boundary.Finally, the DRLSE model in the level set method is used to accurately segment the lung regions. Results show that the combining of the two methods for segmenting the lung regions can prevent the edge image missing detection and process different patterns of lung disease images. In a random sample of 150 images, the accuracy of target segmentation can be up to 96.9% and it spents time 0.8 seconds for segmentation an image and the performance shows good robustness. The algorithm can accurately and completely separate the lung region and retain the details of the lung region. It establishes the foundation for the detection and extraction of lung nodules.

Abstract：The state diagnosis system is subsystem of supervisory control and data acquisition. As an industrial monitoring control software, the system has the request of high stability and reliability. The state diagnosis subsystem is designed in order to ensure stability and reliability of the system. This paper introduces the general structure of the supervisory control and data acquisition on domestic Kylin system, and the design and implementation of state diagnosis subsystem. It has been verified by test that the system runs stably and reliably on domestic Kylin operating system.

Abstract：In this paper, based on fuzzy proximity data fusion algorithm, the algorithm of multi-sensor high precision data fusion for mobile robot is studied. The estimated value and the measured value are fuzzy, and the fuzzy lattice close degree is calculated. In the measurement，weight of each sensor is described through the lattice close degree, and fusion results are gotten according to the fusion formula. The proposed algorithm makes the availability of data in robot navigation multi sensor measurement improve the universality, reliability and stability of measurement.

Abstract：Aiming at the problems such as a great amount of personnel in large modern factory, complicated management of complex company types and frequent accidents, a design scheme of factory security and protection positioning system which can accurately locate all personnel and prevent dangerous risks between people and machinery is put forward. The system is based on high-precision TDOA positioning technology to achieve the staff positioning, dangerous area of virtual alert, plant space division，camera linkage and other advance warning control functions. In personnel management and safety in production, it makes the managers get the knowledge of personnel access information and work conditions compatible with the modern camera monitoring system in the factory. By the terminal early warning control system, the managers receive dangerous warning information in time which can control the accident in advance. This system can be used in the security and protection system of the modern large-scale factory because it could stably combine the monitoring system to realize the camera linkage, and adjust the video monitoring equipment according to the positioning information. What′s more, the visual analysis algorithm of the system is able to analyze various unsafe states in the monitoring screen to efficiently reduce the rate of accident and improve the management efficiency.

Abstract：In this paper, the automatic facial expression based on the combination of skin color and face motion is studied. The image is transformed into YIQ color space by RGB, and the image data is extracted in the I dimension of YIQ, and the background and skin color are segmented in the two valued image. By using Pareto optimization algorithm to select facial expression feature, this algorithm has less calculation, simple structure, fast running speed, accurate detection and can track the obstructions of small angle face skin color, facial expression, face rotation and face. Experiments show that the algorithm can adapt to small angle rotation of human face. For human eyes, the algorithm is not affected, can better adapt to the rich facial expression changes and different skin colors, and has a certain stability.

Abstract：To enhance the operation performance of the PV inverter under unbalanced grid voltage, this paper proposes a control strategy, which is based on negative sequence voltage feed forward, to make the output current of the inverter balanced and sinusoidal. To separate the positive and negative sequence voltage quickly and accurately, the paper proposes a scheme based on the second order generalized integrator(SOGI). The experimental results validate the effectiveness of the proposed method. Finally, the control strategy, which is validated effectively, is simulated and analyzed by PSCAD simulation software.

Abstract：Virtual synchronous generator(VSG) control algorithm can simulate the characteristics of the traditional synchronous generator, inverter with control can provide the voltage and frequency support for large power grid, and the corresponding inertia and damping characteristics,improving the stability of large power grid . In this paper, an excitation regulator is introduced into the outer ring based on double closed loop control strategy of VSG virtual impedance under islanding micro grid. Taking into account the actual wire parameters, this paper proposes a multi VSG parallel network power allocation strategy, by setting up two simulation models of VSG parallel system with different capacities, the power allocation of VSG under the grid connected capacity according to the rated capacity ratio is achieved. Experimental results show that the power allocation strategy in parallel with multi VSG can achieve seamless and smooth switching of off/grid operation mode, and has better feasibility and applicability.

Abstract：In order to meet the demand of high-gain direct-current boost converter in the process of using new energy, a novel quadratic boost direct-current converter is proposed. In this paper, the quadratic boost direct-current converter compared to the traditional quadratic boost direct-current converter and boost circuit, have a higher voltage gain and lower switching tube voltage stress, which is more practical for high energy conversion efficiency , The voltage gain requirements of the new energy and network applications. The correctness of the theoretical analysis is proved by the experimental model of the laboratory.