Abstract：To further enhance the energy efficiency(EE) performance of the fifth generation Internet of Things(5G IOT) system, an EE optimization scheme is proposed in this paper. The proposed scheme uses a zero forcing beamforming(ZF-BF) receiver under large multi-user MIMO systems, and utilizes deployment of the select-and-sleep mechanism. Maximize system EE performance by jointly optimizing the transmit power and activating the number of antennas. According to the EE equation, the EE optimization problem is defined as the fractional programming problem. The Dinkelbach algorithm is used to transform the fractional programming problem into subtraction, so that the energy efficiency can be optimized at the super fast convergence rate. Simulation results show that the proposed scheme obtains the optimal EE with fewer iterations and shows better EE performance than the existing scheme.

Abstract：According to the needs of middle aged and old people, an intelligent monitoring system was designed. The system was consisted of intelligent monitoring equipment, network transmission module and monitoring center service platform. It integrates multiple high precision sensors with RTOS real-time operating system, and monitoring the activity data of the elderly and the surrounding environment data through the multi-dimensional data, and upload it to the monitoring platform. Aiming at the problem of high false alarm rate in practical application, the system adopts the algorithm of personalized anomaly judgment and CRC checksum, not only achieve accurate prediction, but also effectively reduce the false alarm rate. The tests indicated that the system can realize the intelligent remote real-time monitoring, judgment, alarm, prediction and other functions, and reduce the false alarm rate by about 95%.

Abstract：In order to resolve problems such as poor quality of business services，low system throughput as well as the discontinue allocation of resources in power wireless private network, this paper proposes a service priority based uplink resources scheduling algorithm. By studying the feature of uplink transmission service in power wireless private network, we evaluate the service priorities before scheduling, and design different scheduling methods for different services combining the feature of the TD-LTE allocation of resources. Through the simulation analysis, the algorithm can effectively improve the system throughput, guarantee QoS and improve the transmission performance of different services.

Abstract：With the rapid development of modern information technology, machine vision technology has become a hot spot for research and application, and robot with automation technology is more and more intelligent and multi-functional. The design of the Arduino single-chip, liquid crystal display, NRF2401L wireless communication module constitute the basis of the robot hardware system, with wireless transmission of data, human-computer interaction and other functions; The use of Python language machine vision algorithm to build a handwriting identify the model, and will identify the information in the host computer through the NRF2401L wireless communication to the next bit machine hardware.

Abstract：Aiming at the problem that the traditional forecasting model of short-term load forecasting is lack of adaptability and the factors affecting the prediction are complex and difficult to filter, a ridge regression model combined with adaptive technology is proposed. Through ridge regression technique is introduced, many can predict the consideration of various complex factors and will not be affected by factors of multicollinearity. Introducing virtual prediction and setting different weights for adaptive training on screening and similar historical samples can reduce the prediction error. The example analysis shows that the prediction error is significantly reduced by using the ridge regression prediction method combined with adaptive technique.

Abstract：The application of unmanned aerial vehicles(UAVs) in Internet of Things(IoTs) can achieve the goal of service delivery of IoTs business, and offer IoTs value-added services from the air, including video surveillance, sensor data collection, disaster relief and emergency communications, intelligent transportations and so on. For the application of UAVs in IoTs, firstly the typical architectures and their characteristics are introduced in details. Secondly, we analyze the key techniques of the application of UAVs in IoTs in details. Finally, we give its development trend in details.

Abstract：In order to enhance the access security of the SoC bus, for stopping the illegal address access, this paper presents a distributed bus architecture with firewall security based on AXI bus. According to the different task, a multi-level security policy which can be dynamically updated is developed, the bus firewall interface with high-speed and low latency is designed and increased with a security update module to ensure policy configuration and update security, combine with task management system it achieves the task oriented isolation mechanism of multi-tasking. The experimental results show that the transmission delay of the firewall is small, low resource consumption, can achieve the task of isolation.

Abstract：In order to meet the different needs of users, an accelerometer system with mixed analog and digital output is designed. Analog closed-loop output or digital closed-loop output is selected by peripheral control signal. The system measurement results show that the range of the accelerometer is ±3 g, and the analog output bandwidth is larger than 2 kHz. The noise density is lower than -100 dBV/√Hz. The digital output bandwidth is larger than 1 400 Hz, the noise density is lower than 2 μg/√Hz.

Abstract：In digital integrated circuit design, the clock signal is the benchmark data transmission. In order to optimize the power consumption, function and stability of digital chip, this article designed the clock tree under GF14 nm process and put forward the combination of H-Tree and clock mesh design method of the clock tree structure innovatively. Through the layout of clock mesh and clock spine, clock tree has the optimization of overall performance and stability. Finally，analysis of prime time shows that the hybrid clock tree structure obviously improved the clock tree performance, effectively reducing the length of the wiring, the clock offset and propagation delay, reducing the influence of PVT.

Abstract：There are electrolytic capacitors with large value and high frequency transformers in traditional switch-mode LED drivers. They will result in large size and short life of a LED driver. A novel segmented linear constant current LED driver which avoids using electrolytic capacitors and high frequency transformers was proposed. It adapts to automatically control LED working with constant current in stages that high voltage pulsating DC voltage after rectification. The LED driver circuit with smaller volume and longer service life can be integrated in a monolithic chip except the rectifier bridge and the sampling resistor. In addition, this driver will achieve intelligent control through an extended pin. The circuit of this LED driver was designed and simulated based on HG 0.5 μm 700 V BCD process. Simulated results show that the driver circuit works in four stages under the condition of high pulse input voltage of 0～311 V cycle, the maximum constant output current is 97.17 mA and the current transient precision error is only about 0.031%. These simulated results indicate that all parameters of this high-voltage regulator are validated.

Abstract：In this paper, a high IRR，high conversion gain, good linearity and good single-side band NF image rejection mixer is proposed in TSMC 0.18 μm COMS process. It can be used to solve the problem that image interference signal is difficult to eliminate. Based on the traditional Hartely image suppression structure, the quadrature mixer for common RF input and PPH are used, effectively restrain the image signal in the desired frequency band. Besides, the summing circuit is used after PPH to compensate the gain loss. The circuit is simulated by the Spectre in Candence which indicates that IF output signals are both 4 MHz for B1 and L1 bands. The IRR are both 47.8 dB. The conversion gain are both 24 dB. The input P1dB are both -23.4 dBm. The single-side band NF are both 14.9 dB.

Abstract：The temperature drift is key factor that influences the reliability and precision of sensors, which also drastically affects the performance. In this paper, a double exponential function fitting algorithm based on sensor temperature compensation is presented. On one hand, a double exponential function is used to compensate the nonlinear temperature coefficient curve. On the other hand, an alternating iterative method with high precision initial value is presented in the double exponential function fitting algorithm. The method uses four data points to calculate the high precision initial value, and then uses the alternating iterative method to optimize the calculation results, which obviously solves the problems of iterative convergence, the lower accuracy and the more number of iterations. In addition, the double exponential function model can be integrated into the hardware by using CORDIC algorithm, so it has a good value in engineering.

Abstract：The apparent temperature in weather forecast indicates the outdoor thermal comfort while the indoor environment lacks a practical way to measure it. Without proper dressing, people catches a cold easily when the environment is changing. This paper designs a system assessing the outdoor and indoor apparent temperatures. The web crawler grabs the weather information and gets the outdoor apparent temperature. The sensor acquires the indoor temperature and humidity then transfers the data to the Android smartphone by the Bluetooth Low Energy(BLE) where the Application(App) will calculate the indoor apparent temperature. Finally, the outdoor and indoor apparent temperatures are used to retrieve the database so that the thermal comforts and proper clothes both outdoor and indoor will come out. The experiment proves that the system has a more accurate result.

Abstract：In order to improve the first time of the rapid positioning ability of Beidou satellite navigation module, this paper designs the wireless link system for underwater Beidou navigation almanac and ephemeris injection. Through comparative analysis of the advantages and disadvantages of different approaches, it introduces the structure of system hardware design. Analysis and planning of the frequency and level system of emission of each circuit unit module are given. The core module of the system is implemented based on FPGA+ARM architecture. Through the pre manual filling almanac and ephemeris，it can effectively shorten the first time to position for the Beidou satellite navigation and positioning module.

Abstract：In recent years, traffic accidents occur frequently, not only causes huge economic losses, but also makes a lot of people lost their lives. Therefore,in addition to the man-made factors to reduce the traffic accident, developing more efficient intelligent obstacle detection of vehicle collision avoidance system has important practical significance. This design uses six supersonic sensors to form the detector network,which collects the position information by using multiple reflection method and introducing the fuzzy logic and data fusion algorithm. It solves the defects of the single supersonic sensor can only measure obstacle distance, andis useful to the driver to deceleration, obstacle avoidance and other operations through analyzing effectively the range and orientationof obstacles around the vehicle, which is beneficial to avoid traffic accidents.

Abstract：In order to realize the early prevention, real-time monitoring and management of chronic obstructive pulmonary disease(COPD)，a novel turbine portable spirometers was designed. The parameters are measured by a turbine flowmeter, the signal processing is based on STM32, Bluetooth is used for data transmission, and ultimately, the dynamic monitoring of COPD patients is achieved. In China-Japan Friendship Hospital, the measurements of forced vital capacity(FVC), forced expiratory volume(FEV1), peak flow velocity(PEF) and other parameters were performed on 408 patients. Compared with standard pulmonary function meter, the correlation coefficients of FVC, FEV1 and FEV1/FVC were 0.99，0.99 and 0.97 respectively, which were significantly correlated. And the sensitivity and specificity of the patients with airflow limitation were very high, which were 92.95% and 94.80%, respectively. So it is suitable for detecting pulmonary function parameters in community hospitals and families.

Abstract：Full digital active sonar transmitter was designed, in order to solve the disadvantages of conventional transmitter. Many modules, such as signal generator, beam former, PWM generator and dead time setting, were integrated in a FPGA, and the control mode of class D power amplifier was improved. The complexity of the transmitter was reduced, while the equipment reliability was increased. The sample signals were converted into PWM signals using digital comparators, after transmitting beam forming with digital delay lines in FPGA. The dead time control circuit was designed, realizing the online accurate adjustment of dead time. Laboratory tests and lake trials showed that the proposed full digital active sonar transmitter was feasible and effective.

Abstract：Aiming at the problem of low accurcy and high implementation complexity for existing indoor location methods, a multiple information fusion indoor positioning algorithm based on particle filter is presented. On the basis of traditional indoor location algorithm of Pedestrian Dead Reckoning（PDR）and geomagnetic matching, we use the particle filter to dynamically correct the pedestrians′ step length and attitude angle, so as to effectively reduce the positioning error. Step length and attitude information are both obtained through the PDR algorithm, then geomagnetic matching algorithm is used to obtain geomagnetic corresponding to pedestrians position. The particle filter is used to get the weight of the particle through fusing above information, then the step length and attitude angle are corrected continuously by particle weight. The experimental results show that the algorithm can real-time dynamicly compensate PDR′s positioning error, and the system can realize accurate indoor positioning.

Abstract：Based on the current "5GEO+6IGSO+3MEO" constellation configuration of Beidou Navigation Satellite System(BDS), combined with the requirements for Non-Precision Approach(NPA) of civil aviation, this paper proposed Positioning, Navigation and Timing(PNT) performance evaluation indicators framework and relationship model for BDS, and the key indicators are also given to evaluate the PNT performance of BDS. Through the collation and analysis of the truthful data of BDS in Beijing capital international airport，the quantitative evaluation of PNT performance indicators, such as accuracy，integrity，continuity and availability, is carried out.

Abstract：Aiming at the non-stationarity of the middle latency response(MLR) brain stem signals, the adaptive autoregressive model(AAR) coefficients is used to extract the features, which is to achieve the classification of different attention states. Firstly, the extracted MLR data is pretreated to remove noises. Then, the Kalman filter and the least mean square error adaptive estimation method are used to extract the AAR model parameters respectively according to the REV criterion. The support vector machine is used to classify the characteristic parameters of the two estimation methods. Finally, based on the comparison of maximum mutual information and classification results, the minimum mean square error adaptive algorithm estimates that the classification accuracy of AAR model coefficients is 77.45% and the maximum mutual information value is 0.3011, which is better than Kalman filter algorithm.

Abstract：Electrical equipment may have problems such as decompression or deformation when operating in harsh environment for a long time. To target this issue, this work designs a UHF RFID wireless passive pressure sensor, which can get the surface pressure information without contact electrical equipment. UHF RFID-based pressure sensor device is composed of impedance adaptive RFID chips, UHF band RFID dipole antennas, metal plates and springs. The deformation of the electrical equipment will lead to changes in the relative position of the metal plate and the dipole antenna installed on the device, resulting in changes in the impedance of the RFID antenna. The RFID chip will automatically adjust the input impedance capacitance to match the change of the RFID antenna impedance. By reading the capacitance value of the internal matching impedance of the RFID chip, it is possible to get the one-to-one relationship of the capacitance reading and the deformation of the power equipment, and thus to realize the wireless passive pressure sensing function.

Abstract：Considering the requirement of network traffic classification system, especially the real-time system, for complexity of implementation and classification accuracy, a trade-off between complexity and accuracy was introduced. According to improving the key defect of randomly selecting initial cluster center basing on an idea of density and introducing the criterion function of clustering effectiveness to determine the final cluster number, the K-means algorithm was optimized fully and then a method of network traffic classification based on improved K-means algorithm was introduced. The classification accuracy is raised simultaneously giving consideration to the advantage of simpleness and fasting. The experiment with public and authoritative network flow data sets indicates that comparing to the normal K-means method, the proposed method gets higher performance on classification accuracy and stability in network traffic classification.

Abstract：With the development of intelligent transport system and smart city, road side units will be commonly deployed， which can be used to assist routing of vehicular Ad hoc networks in urban environment. In order to overcome the severe routing performance degradation of epidemic routing induced by excessively generated copies in scenarios of heavy packet traffic loads, an Intersection-Relay-Assisted Epidemic Routing(IRAER) scheme is proposed. Based on the features of roads, neighbors of a node are divided into deficient zones, and only one is selected as the candidate node in each zone, which will obviously decrease the number of copies and improve the routing performance. Furthermore, a stochastic model is built for analyzing the generated copies between IRAER and Epidemic. The analytical and the simulation results show that the proposed scheme outperforms Epidemic for lower number of copies and delivery delay，while achieving higher level of delivery ratio especially at the highly populated scenarios.

Abstract：In order to improve the accuracy of the positioning system on the target location, and reduce excessive investment in hardware and energy costs, an energy efficiency target position aware algorithm(NFDV-Hop) is proposed. The positioning accuracy, DV-Hop algorithm uses the average distance per hop to estimate the distance between anchor nodes and unknown nodes, resulting in an estimated distance and the true distance is large error. The average jump size NFDV-Hop algorithm uses anchor nodes and the average number of hops between nodes anchors the distance, to determine position coordinates of the unknown node, and obtain the coordinates of the position after the introduction of the ratio of the estimated value to reduce the positioning error. The energy optimization, DV-Hop algorithm requires to repeatedly broadcast the node information, and the anchor node NFDV-Hop algorithm uses with a single position coordinate information itself to other nodes broadcast, thus greatly reducing the energy consumption of the node. Simulation results show that, compared DV-Hop algorithm based on least squares method and the improved particle swarm optimization based on DV-Hop algorithm, positioning accuracy NFDV-Hop localization algorithm is increased by 12.1% and 9%.

Abstract：As a multi carrier system，FBMC-OQAM system also has the problem of high peak-to-average power ratio(PAPR)，at the same time, since the time domain overlapping characteristics of FBMC-OQAM signal, traditional methods in OFDM system can not be fully applicable. By improving the traditional Active Constellation Extension(ACE) algorithm in this paper, a modified scheme called overlapped segmental Active Constellation Extension(OS-ACE) is proposed to deal with the high PAPR problem in FBMC-OQAM system. The algorithm firstly divides the overlapped data blocks into several segments, and then reduces the PAPR of each block. Theoretical analysis and simulation results demonstrate the algorithm can effectively reduce the peak-to-average ratio of FBMC-OQAM system without affecting the BER performance.

Abstract：A miniaturized wideband filtering antenna based on the planar quasi-Yagi antenna is presented. The quasi-Yagi antenna contains a dipole and two directors, and the ground plane acts as a reflector. To introduce the filtering response, a multimode resonator is employed. Compared to conventional quasi-Yagi antennas, the proposed filtering antenna has wider passband, good suppression of upper harmonics(up to 16 GHz) and high selectivity at the passband edge. Simulation results show that the filtering antenna operates at 6.0 GHz, and has a broad passband from 5.4 to 7.0 GHz. A measured gain about 3.7 dBi is obtained at end-fire direction within the passband on average. The size of the whole antenna is about 0.5 λ0×0.7 λ0(λ0 is the free-space wavelength at 6.0 GHz).

Abstract：Residual belief-propagation(RBP) and Node-wise residual belief-propagation(NWRBP) decoding algorithm based on low-density parity-check(LDPC) codes dynamically select the edge or check node where the maximum residual value is located to update, according to the order of the residual metric. Compared with the flooding algorithm of which simultaneously update all the check nodes and variable nodes in turn, the convergence speed and decoding performance of NWRBP algorithm have been greatly improved. Based on NWRBP algorithm, this paper presents an enhanced NWRBP（ENWRBP）algorithm, which counts the number of updates for each variable node during the NWRBP decoding process. If the decoding fails, it will set the initialized LLR value of the variable node with the least number of updates to zero and restart the decoding. Simulation results show that compared with NWRBP, ENWRBP improves the decoding performance with lower the bit error rate and frame error rate.

Abstract：By analyzing the characteristics of the industrial big data, this paper designs and implements a distributed real-time database system based on cloud technology. The system integrates the cloud technology with the real-time database technology. This system enables a host of real-time, benefits-load balancing, high extensibility, fault tolerance and high reliability, meets the processing requirements of industrial big data.

Abstract：With the completion of major scientific project FAST(Five hundred meters Aperture Spherical Telescope) in China′s astronomical science field，FAST system is in urgent need of a sky map which can be used to carry out the visual display and analysis. In this paper, our team have developed a sky maps system FastSky which committed to meet the basic needs of FAST sky survey data visualization and analysis. FastSky is based on Healpix which is a subdivision of a spherical surface to realize subdivision and build index, and use Web browser to achieve sky map analysis and processing with default or customize. Currently, FastSky has been listed as scientific data supporting software of FAST engineering sciences，and applied in FAST Survey data science research program.

Abstract：In this paper, a kind of intelligent fire-fighting robot, based on STM32F407, was designed to face the increasingly severe fire safety problem. This product sets many functions include fire protection, reconnaissance monitoring, data acquisition and image transmission in one machine. According to the requirements of practical application, a series of work which contained the mechanical structure, hardware of control system and software design has been completed yet. This intelligent fire-fighting robot also showed the characteristics of functional, intelligence, strong practicability and stable operation after the diagnostic test.

Abstract：In order to obtain multiple objective optimization of construction cost, environmental cost and operation cost for micro net system, this paper designed the system independent operation module and simulation module to construct the multi-objective scheduling model of the micro grid system. It used the energy model to evaluate the construction cost for the designed module with environmental cost and operation cost index for micro grid scheduling model, used the individual density based multi-objective wolf colony algorithm(MOWCA) to improve the Optimal scheduling algorithm, and introduced the non dominated sorting and individual density diversity, which effectively improved the diversity and convergence of the algorithm. The proposed optimal scheduling algorithm is based on the Docker container technology, which is used to optimize the simulation of the wind power storage system, the effectiveness of the proposed scheduling algorithm in multi objective optimization is verified.

Abstract：The use of MATLAB in vehicle design and obstacle avoidance warning system has become the major automobile manufacturers and Research Institute of the core in the MATLAB environment, the path planning algorithms can be quite different in this paper. By comparing the three kinds of path planning algorithm in the same environment, through further analysis on the time and space characteristics, the planning algorithms are optimal. By comparing the algorithm of path planning, can the maximum extent reduce the path planning time and the optimal. At last, the parameters of the swarm intelligence algorithm are improved, so as to optimize the traditional algorithm, the result is proved by setting function.

Abstract：The blockchain is distributed through a distributed algorithm, to realize decentralized trust. The core is an open, programmable, distributed database which is global. Blockchain technology is not only used in financial transactions, it can also be used to record all valuable things which can be represented in code, such as financial accounts, medical procedures, birth certificate, insurance claims, vote and so on. This paper analyzes the possibility of the application of blockchain technology to electronic voting, and the advantages and disadvantages of using blockchain technology to construct new electronic voting system. The system architecture and design scheme are presented. This paper solves the problem of fraudulent ballot in electronic voting system. Finally, the feasibility of blockchain in electronic voting system is given. This paper provides a new idea for system design and application based on blockchain.

Abstract：The traditional Buck-Flyback single-stage PFC converter only uses secondary-side control to realize constant current, which causes the converter complex and expensive. A LED driver based on the PSR(Primary Side Regulation) Buck-Flyback single-stage PFC converter is proposed in this paper. The operation principle of main circuits of LED driver and the principle of constant current of PSR technology are analyzed. Finally, experimental results verify the correctness of the theoretical derivation based on the prototype with AC 90~264 V input, 300 mA/12 W output.

Abstract：With the rapid development of precision instruments, the quality of converter is facing more and more pressure. In order to achieve a stable operation and high performance DC converter, a high precision digital programmable DC converter based on FPGA is proposed in the paper. The overall design program is presented, the major circuits and software design are discussed. The experiment results indicate that the DC converter has many advantages of high precision output, small ripple voltage, good stability, exceptional reliability and so on, which makes it suitable for electronic measurement field.

Abstract：The critical problem of wireless power transmission in practical application is the transmission efficiency of the system and the stability of the load voltage. Application of mutual inductance coupling theory analysis the relationship between the system transmission efficiency or the voltage gain and the coupling coefficient or the load resistance,considering the resonant frequency of coil and coupling factor, load impedance, the internal resistance of the power supply. Compared with the closed-loop control methods of three common wireless transmission systems.Furthermore,a maximum efficiency point tracking control scheme is proposed to maximize the system efficiency while regulating the output voltage.

Abstract：An equivalent numerical simulation model that can describe the matrix converter using modulation stratege of dual space vector is constructed.The equivalent circuit of matrix converter with output filter is analyzed.Closed-loop control system with PI controller is designed. Control methods while voltage fluctuation and load break are presented,which decease the input and output disturbance on abnormal condition.The control strategy on abnormal condition is verified through simulation and experiment.