Abstract：In response to the national call for energy conservation and emission reduction, the energy saving and consumption reduction of base stations has become the top priority in today′s communications field, the energy-saving technologies of major operators will also become core competitiveness. This paper studies the Artificial Intelligence(AI)-based 5G base station energy-saving technology. Traditional base station energy-saving technologies are analyzed. The prospect of 5G base station energy-saving technology combined with AI technology is explored. The development direction of AI energy-saving technology has been deeply studied. The AI energy saving model and the AI-based collaborative energy saving scheme are highlighted.

Abstract：With the advent of 5G era, a variety of application scenarios and differentiated service requirements are emerging, which puts forward higher requirements for the ability of operators to schedule network resources and service requirements. Based on the analysis of the new features of 5G network, this paper proposes an intent-based network(IBN) management scheduling system. Combined with the network architecture of IBN, various forms of service intentions are collected and translated into the required network operation and configuration, so as to realize the rapid and automatic deployment of the network. A fast scheduling algorithm is proposed based on this system to effectively schedule tasks at multiple levels and peer levels. The simulation experiments show that the fast scheduling system based on IBN improves the task processing efficiency and reduces the task scheduling processing time, which is of great significance to the service requirement scheduling guarantee of communication scenarios such as major events.

Abstract：In 5G mobile communications, key technologies such as large-scale array antennas, new scenarios, new services and new frequency bands are introduced. The goal of future network evolution is to achieve independent network decision-making and independent evolution through the introduction of artificial intelligence. 5G network planning also faces the requirements for intelligent evolution. From the perspective of 5G network planning and deployment phases, this paper discusses how to build an overall 5G network planning solution based on big data, machine learning and other technologies to guide the planning and construction of 5G network planning.

Abstract：With the rapid development of 5G technology, the number and density of 5G base stations will be far higher than 4G, and the construction and maintenance of base stations will become a problem that cannot be ignored. Therefore, this paper comprehensively analyzes the 5G base station decommission situation and puts forward a 5G base station decommission cost estimation scheme based on big data. With the base station historical decommission data, the LSTM neural network is used to establish the base station decommission prediction model. Then the 5G base station decommission cost estimation model is constructed, and the cost estimation of the forecast 5G base station decommission is made. Finally, through the experimental analysis, the effectiveness of the scheme is explained and suggestions are put forward.

Abstract：In order to solve the problems of the efficient synergy between the management orchestration components required for the deployment of the edge computing business and the NFV MANO components in the telecommunications cloud, this paper firstly analyzes the division of responsibilities and interaction processes between the management orchestration components of edge computing and telecommunications cloud. Secondly, based on the deep learning method and model, a solution is given to improve the management orchestration efficiency between the virtual network elements of the telecommunications cloud and the edge computing applications. Finally, the main issues and directions in this area are prospected.

Abstract：Digital Rights Management(DRM) is an information security technology that protects the rights and interests of publishers of digital publications. It guarantees authorized users to use digital information and protects the interests of copyright owners. However, the traditional central copyright protection method has some problems such as low security and rough authority control, which makes piracy and infringement occur frequently. Blockchain has the characteristics of decentralization, tamper-proof, public and transparency, which provides a new idea to solve the problem of copyright protection. This paper analyzes and compares the traditional digital copyright protection method and the copyright protection method based on blockchain, and puts forward the prospect for the future.

Abstract：In recent years, convolutional neural networks(CNN) and recurrent neural networks(RNN) have been widely used in the field of text classification. In this paper, a model of CNN and long short term memory network(LSTM) feature fusion is proposed. Long-term dependence is obtained by replacing the LSTM as a pooling layer, so as to construct a joint CNN and RNN framework to overcome the single convolutional nerve. The network ignores the problem of semantic and grammatical information in the context of words. The proposed method plays an important role in reducing the number of parameters and taking into account the global characteristics of text sequences. The experimental results show that we can achieve the same level of classification performance through a smaller framework, and it can surpass several other methods of the same type in terms of accuracy.

Abstract：Parameter prediction of insulated gate bipolar transistor(IGBT) can effectively avoid the economic loss and safety problem caused by its failure. Based on the analysis of IGBT parameters, the paper designs a SoC hardware system of IGBT parameters prediction based on LSTM network. The system uses ARM processor as the general controller to control the call of each sub-module and the transmission of data. In the FPGA, the algorithm of matrix vector inner product is optimized to improve the data operation speed in the LSTM network.And the polynomial approximation method reduces the resources occupied by the activation function. The experimental results show that the average prediction accuracy of the system is 92.6%, the calculation speed is 3.74 times faster than the CPU, and the system has the characteristics of low power consumption.

Abstract：Aiming at the problem of tracking failure caused by rotation, occlusion and deformation of moving target in video sequence, a tracking method based on multi-region segmentation of target was proposed. The target is divided into multiple overlapping regions, and then multiple regions that are relatively stable in the tracking process are selected for positioning, and then different target region weights are used to update different template updating strategies for the tracked target. In this way, the anti-blocking and anti-rotation ability of the algorithm can be increased. Experimental results show that the proposed method is adaptive to occlusion and rotation.

Abstract：The complete hardware circuit of Keccak algorithm which can support the four modes of SHA3 is designed and implemented. Based on the detailed analysis of the sponge functions and Keccak algorithm, the modular idea is used to divide the circuit structure into parallel filling modules and replacement modules, which reduces the clock cycle of task execution. Based on the designed Keccak algorithm hardware circuit as the basic structure, the three existing permutation function implementation structures are compared and analyzed from the aspect of energy efficiency. Integrated under the 65 nm process technology library, the SHA3-256 standard energy efficiency reaches 0.55 Mbps/gate, which is about 52% more energy efficient than existing structures.

Abstract：The essential element of the integrated circuits protected by the law is the "originality" of layout design. The judicial identification of layout design infringement includes two processes, one is the original identification of layout design , the other is the comparability identification of original area of layout design. At present, there is a lack of unified standard for the comparability identification of integrated circuits layout design. Beijing Cellixsoft Corporation invents a feasible method. In this method ,chip process is considered firstly. Secondly, the modules are classified according to the coupling of layout elements. Thirdly, each element is compared. Then, the weight of each element is calculated according to its weightiness. Finally, the whole comparability is calculated according to the weighted method. This determinant method of layout comparability is named as "layout classification weighted method". The most important factor of this method is the inner layout of modules. The comparability model invented in this paper compares the inner layout of two modules objectively.

Abstract：An embedded NOR Flash controller is descripted for quickly IAP(in application programming),no need of interrupt vector remap by software, but direct address remap by hardware reboot from middle location with dual Flash banks. The Flash controller can support read operation in the process of IAP, and get right read results. The Flash controller has a 1 ?滋s configuration register which can be used to calculate expected timing values for programming or erase automatically, reducing the software workload to configure more timing values one by one with different working frequency. It is verified after simulation and FPGA prototype verification,and taped out on UMC55 nm process in MCU. The samples of MCU with IAP working well prove further the Flash controller.

Abstract：Through comparison, algorithm optimization, pipeline accelerated design and structural compatibility extension of a large number of mainstream algorithm, this paper propose an algorithm that is good for modulo operation structure compatibility: improved radix-4 interleaved modular multiplication algorithm. It has advantages of short path and simple structure, and has advantages in compatibility design, can achieve full flow accelerated operation, and achieve the high speed and reconfigurable design purposes. The improved radix-4 interleaved modular multiplication unit proposed in this paper can directly realize plus-minus module division and modular addition without adding extra structure, which solves the problem of the waste of independent resources. The unified modular unit is synthesized under the 65 nm CMOS process. The area is 0.117 mm2. The clock frequency is 526 MHz. A 576 bit modular multiplication and modular division are completed at 0.55 μs and 2.98 μs respectively.

Abstract：Based on 2D laser radar and pan-tilt device, a 3D laser scanner is designed as a data acquisition device. At the same time, the scanning control and data processing system is designed on the host computer. The scanning control system realizes the control of the scanning range and the scanning precision. The data processing system converts the coordinates into the global coordinate system through the mapping relationship of the collected data, and converts the data into a standard point cloud format file for storage. In order to further improve the accuracy of the data, after designing the filter to eliminate the outliers, a three-dimensional model is constructed to realize discrete point cloud data visualization. The results show that the system can reconstruct the three-dimensional space better.

Abstract：The existing FFT-WT algorithm and FFT-BP algorithm have advantages only for the detection of certain specific harmonics in photovoltaic systems. In this paper, the FFT-WT algorithm is improved, and a DFFT-WT algorithm is proposed. The FFT-BP algorithm is improved and an improved FFT-BP model is proposed. On the basis of this, the two are combined, the threshold interval is introduced to limit the search scope of the neural network iteration, and a DFFT-WT-BP(Double FFT-WT-BP) detection algorithm is proposed. The simulation results show that the algorithm can detect complex harmonic signals composed of multiple harmonics in the actual photovoltaic network inversion system, and is more accurate and practical.

Abstract：Filter Bank Multi-Carrier(FBMC) is a modulation scheme that may replace OFDM in 5G mobile communications, but its peak to average power ratio(PAPR) is higher. The DFT-spreading technique is to spread the input signal with DFT, which can reduce the PAPR of FBMC signal to the level of single carrier transmission. But there are still shortcomings: after derivation, the PAPR is substantially high due to the four different symbols added at the symbol timings in the transmit waveform x(t). For this shortcoming, this paper improves the phase shift terms and proposes an identically time shifted multicarrier-DFT spreading(ITSM-DFTs) algorithm, which fully exploits the single carrier effect of DFT-spreading. Theoretical analysis and simulation results show that the algorithm effectively reduces the PAPR of the FBMC system.

Abstract：The chip emulator is an effective debugging tool in the embedded software development, and many existing chip emulators lack the protection of the software program during the debugging process. This paper proposes a solution to control the access rights of software programs during the debugging phase. The solution mainly includes three steps: firstly, the program access rights is generated in the form of an encrypted configuration file, then the program data is encrypted, and finally the encrypted configuration file and the encrypted program data are downloaded to the chip emulator. The solution realizes flexible configuration of program access rights and adopts encrypted files to prevent unauthorized tampering of configuration rights and program data, and increases the security of debugging.

Abstract：The physical unclonable function(PUF) module cannot be directly applied to key generation due to the instability of the response, and the processing method of the fuzzy extractor brings the security risk of entropy leakage due to the disclosure of the helper data. An improved fuzzy extractor structure is proposed for the entropy leakage problem of fuzzy extractor, by adding artificial noise channel, the modified PUF response is unbiased, and the effect of non-entropy leakage is realized without increasing the resource-constrained device operations in the reproduction phase. In the context of SRAM PUF with bias pb=0.54 and error rate e=0.10, the required SRAM PUF size and key generation success rate are improved compared to other methods.

Abstract：The purpose of this paper is to use genetic algorithm(GA) to process image with bottom noise, and the processing effect is improved through the improvement of GA. Combining with image segmentation, this paper expounds the working mechanism of GA and the design methods of main modules such as fitness calculation, selection, crossover and mutation, and gives the specific values of parameter setting. The key issues such as the relationship between generation gap and excellent individuals, the substitution relationship between individual among different generations, the selection method of intersection points and the selection of mutation positions, and the maintenance of population number are clarified. The image with bottom noise is processed by this algorithm, the results show that the target image can be separated from the background with noise by GA, but the processing time is 7.416 seconds. In order to improve the processing efficiency, the traditional algorithm is improved by adaptively adjusting the crossover probability and mutation probability of the population using evolutionary generation and individual fitness values. The same noise image is segmented by improved GA. The results show that the improved GA has better image segmentation effect, the processing time is only 0.751 seconds, the efficiency is improved by nearly 10 times.

Abstract：Crop yield forecasting plays a decisive role in the development of national economy planned by the government. It is of great significance to rationally plan planting strategies and reduce the waste of water and fertilizer. There are many factors affecting crop yield, and accurate prediction of crop growth means a lot. Climate is an important factor affecting crop yield. Based on climatic factors, this paper proposes a time series prediction method based on the long short-term memory(LSTM) for crop yield prediction. The method combines historical yields with climatic factors to forecast the crop yield of the next period by years. Experimental results show that compared with LSTM and support vector machine methods, the proposed method achieves higher accuracy in crop yield prediction.

Abstract：In the space rendezvous and docking, real-time measurement of the position and attitude between the visual sensor on the tracking spacecraft and the characteristic target on the target spacecraft is needed, and the premise is to quickly and accurately identify the feature targets. In this paper, a fast recongnition algorithm of four concentric ring feature targets is proposed. Firstly, the algorithm uses the optimized Otsu for image segmentation. Then the contour is extracted by the connected region recognition method. Finally, according to the relationship between the circumference and the area of the circle, the circle is determined, and the least square method is used to fit the circle and extract the center of the feature circle. The experimental results show that the method can recognize feature targets accurately and quickly within 2 m distance, and the computational efficiency to the method is improved by nearly 10 times compared with the pre-optimization algorithm.

Abstract：This paper presented the design of a novel general signal processing system based on the partial reconfiguration of Field Programmable Gate Array(FPGA). This solution uses framework of high speed FPGA，Digital Signal Processor(DSP) and Analog/Digital Convertor(DAC), and supports the performing, storing and dynamically reconfiguring of dozens of waveforms in three channels. This system is suitable for the miniaturization application.

Abstract：With the development of science and technology, ultrasonic scalpel is widely used in medical treatment. In practical application, in order to make the transducer of the ultrasonic scalpel convert electrical energy into mechanical energy as much as possible, this paper uses parallel impedance matching to realize the impedance matching of the ultrasonic scalpel, which makes the transducer of the ultrasonic scalpel present pure impedance, thus maximizing the output power of the transducer and reducing the transmission of the transducer. Heat has increased the service life. In addition, the parameters of the transducer of the ultrasonic scalpel will change with temperature and environment in the course of using. Therefore, this paper designs a frequency tracking method for the resonant frequency of the transducer, which tracks the phase difference between current and voltage, and then sends it to the FPGA for calculation. A phase difference is obtained. When the phase deviation occurs, a frequency conversion formula is used to adjust the output frequency, so as to achieve the effect of frequency tracking. Through practical verification, the impedance matching and frequency tracking method of the ultrasonic scalpel designed in this paper can achieve the automatic frequency tracking under different loads, and run reliably.

Abstract：As the scale and complexity of integrated circuits increase, the verification work becomes more and more complex and important. The verification cycle has reached or exceeded 70% of the entire chip design cycle. Therefore, it is urgent to find an efficient verification method to improve verification efficiency and enhance reusability of the verification platform. The UVM verification methodology based on the SystemVerilog language can effectively improve the verification efficiency and shorten the verification cycle. Therefore, this paper uses the high-level abstract model C_Model as the reference model to access the UVM platform, verify the encoding module of the tag transmission link in the digital baseband processing unit, design random and non-random testcase, and send it through the driver and monitor verification components. Monitor and collect data, including the data generated by the hardware design RTL code and the data generated by the reference model, and then send the two data to the designed UVM scoreboard module for comparison, thereby verifying the function of the RTL and verifying the pros and cons of the system. It can be reflected by functional coverage. The verification results show that the alignment is correct and the functional coverage reaches 100% in the UVM scoreboard.

Abstract：Aiming at the problem that electrodes are easy to fall off and not easy to be found in the process of electromyography acquisition, a detection system for electrodes falling off applied in electromyography acquisition is designed. In this paper, an integrated operational amplifier LM358 is designed as a follower under the single power supply mode. It can output a stable high level when the same phase end is suspended. By using the feedback voltage of the driven right leg circuit in the electromyography acquisition system, an electrodes drop detection circuit which can be effectively combined with the electromyography acquisition system is designed. In order to reduce the problem of false detection caused by interference, the algorithm of reducing false detection when STM32 single chip computer detects the electrode falling off is given. In the actual circuit application, the electrode drop detection system has achieved good detection results.

Abstract：A method for control of three-phase unbalanced load based on variable frequency power was proposed in this paper. The general idea was introduced firstly, and then the implementation of the scheme and the design method of variable frequency power supply and the realization scheme of the master control center at the side of low-voltage distribution network was described in details. When three-phase unbalance occurs in the power grid, the general control center sends phase-changing instructions, and the inverter power supply receives instructions to perform phase-changing, and the normal work of the load is not affected in the phase-changing process, which can effectively solve the problem of three-phase unbalance in the power grid. By setting up the basic model of low-voltage side commutation with variable frequency power as the core, the rationality of the commutation process is simulated and analyzed by MATLAB, and finally the feasibility of three-phase unbalanced control scheme with frequency conversion power as the core is verified by experiments.

Abstract：To meet the requirement of practical teaching of electromechanics course, a model inverter for the school laboratory is designed, which converts the power supply into another arbitrary frequency electric energy to drive the three-phase asynchronous motor to rotate. The motor control system can control the soft start of the motor. Variable voltage and variable frequency speed regulation can be carried out through voltage-frequency conversion circuit and pulse width modulation(PWM) circuit; taking IR2104 as core, the motor drive system uses high-power field effect transistor to convert the weak electric signal which controls the motor into the high-voltage energy which drives motor; motor protection system can detect overcurrent, short circuit, phase gap and overheat, and cut off power supply when necessary to provide protection. The function test and application validation show that the system meets the expected requirements and can be applied to relevant teaching experiments.