Abstract：On-line monitoring system of transmission line is an important part of smart grid. In view of the lack of effective online monitoring network modeling to meet the performance requirements, a comprehensive evaluation modeling method based on cost function is proposed in this paper. The model integrates short-range ZigBee wireless relay communication and long-range 5G communication, and groups all nodes are grouped in an optimized way according to the two indicators of delay and energy consumption, so as to optimize the cost function in the communication process. The experimental results show that the modeling proposed in this paper can effectively build an online monitoring system network with optimized performance, which is conducive to the realization of smart grid and double carbon goal.

Abstract：With the development of the Energy Internet and the “dual-carbon” goal, a batch of new services will bloom to monitor and control the operation of power distribution network. To adapt to the developing demands of power distribution network, a terminal importance-based base-station deployment strategy(TI-BSDS) is proposed. The strategy takes into account the terminal service carrying status, quantifies the importance of the terminal in the distribution network based on the importance of the service, and taking importance of the terminal as weight, using the weighted signal-to-interference and noise ratio, deployment cost and terminal overlap coverage as the optimization target, adopts genetic algorithm to realize the deployment of 5G macro base stations and micro base stations. Simulation results show that TI-BSDS is superior to the comparison algorithms in terms of weighted signal-to-noise ratio and deployment cost, and TI-BSDS can effectively improve the deployment benefit of 5G networks in power distribution networks.

Abstract：Among the four key factors of vehicle-road cooperation system-smart car, smart road, powerful network and smart cloud, the powerful network built by C-V2X and 5G is the main body of vehicle-road collaboration at the present stage, and a bridge for effective integration and complementary advantages of various elements of vehicle-road-network-cloud. The business scenarios of Internet of Vehicles based on vehicle-rode collaborative are very rich, it has different requirements on the network performance. 5G slice technology can be customized logic network, providing end-to-end large bandwidth, low latency, high reliable and flexible customization service for Internet of Vehicles in different business scenarios,to realize the rapid and online business and more extreme user experience. Starting from the network requirements of the vehicle-road collaboration business scenario, this paper focuses on the application of 5G network slicing technology in vehicle-road collaboration.

Abstract：As one of the important engines to promote the digital transformation of the society, 5G private networks have been applied to industries such as electric power, mining, education, and medical care. After analyzing the rich and diverse service requirements of current industry customers for 5G private networks, firstly it is proposed that the core service capabilities that the 5G private network can provide customers in four aspects: native capability, data capability, collaboration capability and operational capability. Secondly, it is further discussed that scenario-based private network services such as low latency, large bandwidth, high reliability, strong security and flexible networking can be formed through effective organization of core service capabilities. Finally, it analyzes how to use private network services to form industry private network solutions, taking mining, electric power, port and other industry requirements as examples.

Abstract：The 5G industry virtual private network operation platform can solve the difficult problems that operators encounter in the management of 5G industry virtual private network, such as trans-professional, trans-domain and online operation, so that operators can manage 5G industry virtual private network more conveniently and efficiently. Based on the research of operators′ demands for management of 5G virtual private network, this paper puts forward the core functions and future evolution direction of operation platform for the 5G virtual private network, such as digital delivery operations solutions, intelligent operation and maintenance support, which will help improve operators′ efficient management of 5G virtual private network and help improve enterprises′ digitalization level.

Abstract：With the improvement of ship intelligence level, shipboard teleconferencing system is of great significance to improve the emergency handling capacity and promote the construction of shipboard integrated network. Microphone array is an important voice front-end to ensure the voice effect as well as the multi-mode interaction of teleconferencing system. However, while the small size of ship cabins leads to the adoption of small-size array, strong reverberation caused by small cabins and noisy cabin noise also seriously degrade the performance of traditional microphone array algorithm. Considering the direction of arrival(DOA) estimation scenario of small-size array in complex environment of ship cabin, a lightweight Mask-DOA estimation neural network model is proposed in this paper. With this method, Mask algorithm is introduced into the DOA estimation neural network to reduce the noise and reverb interference, then the enhanced GCC-PHAT is extracted as the network feature, so as to realize the high-precision DOA estimation on the small-size microphone array. Simulation and experimental results show that the Mask-DOA model proposed in this paper is more robust and has better generalization ability in the complex environment of ship cabin.

Abstract：There are a lot of researches on traffic signs in the safe driving and automatic driving of vehicles. Due to the wide variety of traffic signs and the influence of various factors, the classification and detection of traffic signs is also a challenging problem. To this end, a traffic sign classification and detection method combining tags with real road scenes is proposed. The method is divided into a data generation part and a target detection part. Experimental results show that the use of this method to generate training data can effectively train deep convolutional neural networks to achieve classification and detection of traffic signs in real scenes, and the optimized detection model has a smaller size and faster speed than the model mentioned in the article.

Abstract：As one of the autopilot schemes of automatic guided vehicle(AGV), electromagnetic guidance is widely used in industry, logistics and other fields. Traditional electromagnetic guidance schemes have high requirements on mechanical structure and are easily limited by the small preview range of sensors. Thus, it is difficult to apply them to small AGV. In order to remedy the defect of limited detection ability, which is caused by limited preview, a fully connected neural network model is designed and trained to detect both vehicle′s posture and rear road information. Both simulation and actual tests show that the presented scheme greatly improves the control effect of electromagnetic guidance system with small size and limited-preview sensors. In the whole process, the vehicle runs rapidly and steadily.

Abstract：The switched capacitor voltage doubler is called charge pumps. It is integrated into a chip. Capable of operating from a 4 V to 20 V input, it provides ±7 V to ±38 V output. Output currents of over 10 mA are available. This circuit adopts charge pump structure to realize voltage doubling. The characteristic of the circuit is that the input voltage can be doubled without inductance, and the influence of electromagnetic can be eliminated. The maximum power supply current under no load is not more than 12 mA. Manufactured in bipolar technology,that is not susceptible to latchup.

Abstract：In this paper, a sigma-delta modulator for 10-16 bit resolver digital converter is designed. The modulator is a second-order structure. On this basis, a chopper modulator circuit is added to eliminate the flicker noise. The dynamic range of the operational amplifier is improved by the charge ratio of the integrator. The VerilogA model of modulator is established by using Spectre tool in Cadence simulation software, and its performance is simulated. In addition, the simulation software MATLAB is used to analyze the FFT spectrum of the modulator, and the simulation results between them are compared. According to the simulation results, the design of the modulator meets the requirements of 10-16 bit converter.

Abstract：A innovative and high precision piecewise linear compensated voltage reference was designed in this paper. The current proportional to temperature(IPATA) and the current inversely proportional to temperature(ICTAT) was used to obtain the piecewise linear current for the curvature compensation of the voltage reference source. The whole working temperature range of the circuit was divided into two sections, finally high precision voltage reference was obtain by piecewise linear and bipolar base current compensation method. The simulation results show that in the temperature range of -55 ℃ to 125 ℃, the temperature coefficient of the voltage reference is 1.208 ppm/℃, and the power supply rejection ratio is lower than -88 dB at low frequency. When the supply voltage changes from 2.5 V to 5 V, the line regulation is 0.108 mV/V.

Abstract：In this paper, a DVI(Digital Visual Interface) receiver chip is designed and an all-digital-based T.M.D.S signal reception recovery scheme is proposed. This scheme can greatly reduce the design difficulty of PLL and the hardware overhead of the chip.This paper firstly introduces the whole frame of this chipand functionof each module, and then emphasizes the principle and realization of data recovery circuit based on this scheme, and finally conducts relative discussion on simulation and test results. The test results indicates that, this chip which meets the requirements of DVI 1.0 specification, can be compatible with other DVI products and communicate with them.

Abstract：CCTV video monitoring system is one of the most important equipment in offshore drilling with high degree of automation, which plays an important role in ensuring drilling production. In the configuration of drilling platform, most of them are monitoring deck and drilling area. For JU2000E drilling platform, there is no integration between the two monitoring systems. In this paper, based on the actual use of the platform, cost control and networking convenience, we study the scheme to realize the integration of platform level CCTV system and the possibility of building centralized remote monitoring on multiple platforms.

Abstract：The faults of smart meters are sudden, complex and multifaceted. A fault prediction method based on spatio-temporal convolutional neural network(ST-CNN) is proposed. Firstly, the sliding window is used to integrate the time information into the characteristic variables, and the input matrix with space-time characteristics is constructed. Then, combined with CNN, the fault prediction model of smart meter is established, and the model parameters are optimized by adaptive momentum estimation (Adam) algorithm. Finally, the actual field data are used to simulate the fault prediction model of smart meter based on ST-CNN. The results show that this method has high prediction accuracy and strong generalization ability.

Abstract：Considering that the user demand will affect the effect of multi-time scale source load intelligent dispatching in distribution network to a certain extent, a multi-agent game based multi-time scale source load intelligent dispatching method is proposed. Due to the fluctuation of power load in the operation process of distribution network, this paper analyzes the multi time scale source load variation scenarios of distribution network, alleviates the pressure of distribution network operation through short-term interaction, and analyzes the source load characteristics of distribution network. Based on multi-agent game, an intelligent optimization objective function of distribution network is built based on multi-agent game. Based on the daily dispatching model of distribution network, the daily 2 h scheduling model of distribution network and the daily 15 min scheduling model of distribution network, a multi time scale source load scheduling model of distribution network is constructed, and the scheduling of multi time scale source load of distribution network is realized. Experimental results show that the proposed method has better scheduling effect in different strategies and scenarios, and is suitable for wide application.

Abstract：In the VANET, excessively high vehicle density will cause channel congestion, and the occurrence of channel congestion will seriously affect the performance of the cooperative vehicle safety system. Aiming at this problem, a C2SLP congestion control strategy based on the prediction of vehicle network channel load is designed. The strategy is divided into three steps. Firstly, use the detection function in the carrier-sensing multiple access protocol to obtain the busy and busy status of the channel, and perform load evaluation according to the proportion of the busy time of the channel. Then the obtained results are substituted into the autoregressive moving average model to predict the next channel load value at the moment. Finally the obtained load prediction value is compared with the preset standard value, and the power control algorithm is used to adjust the transmission power according to the comparison result to avoid channel congestion in advance. The simulation experiment results show that this strategy can stabilize the channel occupancy at about 0.6 and the transmission delay at about 30 ms. Compared with the UBRCC algorithm，this strategy can effectively reduce the transmission delay while controlling channel congestion, ensure the reliable transmission of data packets, and meet the requirements of vehicle safety applications.

Abstract：Multiplier is one of the basic units in many quantum algorithms. In order to implement the multiplying operations and use as few auxiliary qubits in the quantum circuit as possible, a quantum multiplier based on the quantum Fourier transform is proposed. By utilizing the quantum Fourier adder, a quantum shift circuit is designed. A quantum circuit for the multiplication of two n bit binary unsigned numbers is realized and its time complexity is O(n3). The validity of multiplying a 2 bit binary number by another 2 bit or 4 bit binary number is tested through Qiskit-an open source quantum computing toolkit provided by IBM. The experimental results show that the quantum multiplier achieves higher accuracy and lower computational complexity with less qubits. The open source code of the quantum multiplier is publicly available.

Abstract：In order to make better use of Hi3559′s powerful video image processing capabilities in the field of industrial sites and security monitoring, to achieve long-distance transmission of high-definition video and intelligent algorithms，adopting Hi3559+FPGA hardware architecture, using the coaxial cable transmission method with the high-definition digital interface(HD-SDI) video equalizer, this paper designs and realizes the multi-channel 1080P high-definition video transmission system. This design system solution mainly solves that although Hi3559 supports a variety of Sensor video interfaces, it does not have an input method and design solution that can directly support multiple HD-SDI cameras. The system uses Hi3559 to realize 8-channel HD-SDI video image acquisition, transmission, processing and panoramic display. Compared with HiSilicon′s common camera serial interface(Camera Serial Interface，CSI) interface transmission scheme, HD-SDI transmission distance is farther theoretically up to 200 m. Through testing and verification, the design scheme is feasible, long transmission distance, stable and reliable, and has high promotion and application value for the acquisition and transmission of multi-channel HD-SDI video and panoramic display.

Abstract：More and more scenarios require approximate membership queries for incomplete query data, but traditional Bloom filters for membership queries cannot meet these requirements. An approximate membership query algorithm for incomplete data based on Bloom filter is proposed. It first preprocesses the missing parts of the high-dimensional incomplete data, then converts the high-dimensional data to the low-dimensional data based on PCA technique, and the low-dimensional data is stored in a Bloom filter by combining local sensitive hash functions with standard hash functions. Extensive experiments are conducted using two publicly real-world network performance datasets, and it shows that the proposed algorithm efficiently solves the approximate membership query problem for data with incomplete data. It is also necessary to enrich the means of filling in the missing parts in the data pre-processing. The proposed solution can effectively solve the approximate membership query problem for data with missingness.

Abstract：With the coming of the trend“digita ltransforma”, the role of tag in production is becoming more and more important. However, in the growing business requirements, the traditional methods of creating tag have exposed many problems. This paper introduces the research and design method of intelligent tag based on data medium platform, including the description of existing problems, the design of intelligent tag and the prospect. Based on the advantages of data middle platform, the method of intelligent tag is designed and created, which can provide ideas for enterprises to build intelligent tags and digital transformation.

Abstract：There are many common circuit analysis methods, such as superposition theorem, Thevonin theorem and loop current analysis method. In order to simplify the complexity of circuit analysis and reduce the computation of solving circuit equations, a simple circuit analysis method, loop voltage drop impulse method, is presented in this paper on the basis of loop current method and linear superposition theorem. In the analysis of linear network circuit, the analysis method can simplify the analysis process and reduce the amount of computation obviously by comparing and analyzing the experiment.

Abstract：In order to solve the problems of cumbersome user authentication process, insecure identity information, and vulnerability of authentication system in traditional identity authentication, a distributed identity authentication method based on alliance chain is proposed, which uses the decentralization of blockchain and is not easy to tamper with. Features and asymmetric encryption methods are used to improve the security and stability of the user identity authentication system. On this basis, a distributed authentication scheme was designed, including identity registration and authentication processes, and the core consensus algorithm PBFT was optimized to improve authentication efficiency. The experimental results show that the blockchain-based authentication mechanism and optimized PBFT algorithm improve the reliability of the authentication system and ensure its efficiency.

Abstract：The power consumption of information system composed of integrated circuits is increasing, and the energy consumption is huge. The emergence of low-power integrated circuit chips with ultra-low voltage power supply reduces the system energy consumption. In addition, many special industries also need ultra-low voltage and large current power supply. In order to meet the needs of these loads, ultra-low voltage and large current switching power supply has been developed rapidly. There is a big gap between China and foreign countries in this field. It is necessary to design high performance low voltage and large current power supply with independent intellectual property rights. In this paper, the simulation analysis and physical test of ultra-low voltage and high current power supply with the new topology are carried out. The designed low voltage and large current switching power supply achieves 1 V/35 A, 0.7 V/20 A indicators, and has significant improvement in achieving lower voltage and larger current indicators. Moreover, the structure is simple, but the efficiency and ripple indicators are not high, which need to be improved.

Abstract：Binary-phase codes signal is a kind of spectrum spread signals, which works very well not only in terms of detection capability and low-intercept capability but also the range and velocity resolution. This article firstly introduces common binary-phase codes signals, then deduces the accurate echo representation based on non “stop-go-stop” assumption, expounds the cause of Doppler shift during the pulse in essence, and analyses the Doppler sensitivity of phase-code signal. Finally，it is applied to SAR imaging, which can improve its ability of anti-interference. The validity of the analysis in this paper is verified by point target simulation.

Abstract：In order to meet the technical verification and system testing requirements of radar countermeasures against digital radio frequency memory(DRFM) jamming, a modular, scalable, lightweight and portable vector signal transceiver combined with DRFM technology is designed. The simulator control part adopts a kind of flow controller to realize, and the effectiveness of the design is verified by the injection test of the radar and jamming simulator. This design can generate various types of radar jamming signals, including interrupted-sampling and repeater jamming according to the radar echo. It can realize multiple mission functions by replacing and expanding the board. It can be used in the construction of radar test environment to support the research and verification of radar anti-jamming technology.

Abstract：Synthetic aperture radar(SAR) is widely used in military-reconnaissance, ocean monitoring, disaster emergency assessment and other applications. Among them, ship detection and classification is an important ocean application. Due to the special imaging mechanism, the target features in SAR images are always changeable, which leads to the slow progress of target classification based on SAR images. In recent years, airborne SAR system has developed rapidly due to its real-time and convenience in deployment, and there is a strong demand for ship detection and classification based on airborne SAR images, especially for real-time detection and classification application. Focusing on this issue, a real-time application framework for ship detection and classification based on airborne SAR images is discussed and constructed, and the key processes and methods in engineering application are illustrated. In addition, its development trend combined with the artificial intelligence technology is also prospected.