Abstract：In this paper，non-orthogonal multiple access(NOMA) schemes with reconfigurable intelligent surface(RIS) and decode-and-forward(DF) relay are proposed according to deep coverage requirements in 5G-Advanced and 6G. Then, system model of NOMA-RIS and NOMA-DF relay schemes are established. System analysis of NOMA-RIS and NOMA-DF relay are compared, including capacity and energy efficient. Numerical simulation and comparison analysis in typical scenarios show that RIS obtains more energy efficiency gain than DF relay as the number of array elements increases.

Abstract：From 2019, 5G standards and equipment have gradually taken shape, and the trend of communication business towards industrialization and diversification has gradually become clear, thus giving birth to the research of new communication systems. 6G, as a new generation of communication system, has been expanded in depth and breadth in terms of service comprehensiveness and precision. At present, the 6G alternative technologies include THz technology, large-scale antenna, IRS and communication perception fusion. The integration of communication and perception has become the key research technology of 6G in early 2021. It can greatly reduce the redundant deployment of the system by multiplexing the communication and perception architecture and signals. This paper will analyze the research needs, architecture and technology of 6G communication perception integration, so as to comprehensively introduce the feasibility and key research direction of 6G synaesthesia integration.

Abstract：In order to meet rapidly changing business and user needs, intent-based networking(IBN) is proposed by the industry. In the IBN，natural language is directly used to describe "service intent" and automatically translated into strategies and operations that can be performed by the network, thereby reducing the complexity of network management, greatly improving operation and maintenance and also largely achieving labor-saving. In this article, IBN-related projects and research is extensively and deeply investigated, the concept of intent, the intent-based northbound interface(NBI), the relationship between intent and policy as well as representative IBN frameworks are introduced, and also the main challenges of IBN deployment and application are discussed. The goal of this article is to provide readers with a comprehensive view of IBN.

Abstract：Focusing on the problem that the tracking accuracy of Staple tracker is reduced due to blurring of camera motion, an improved Staple tracker base on background-weight histogram is proposed. Firstly, aiming at the problem of ignoring the spatiality of the traditional histogram, it is proposed to add position to the histogram. Furthermore, making full use of the color histogram of the background area，the influence of the background information on the histogram of the target area is suppressed，this paper proposes to introduce the background-weight histogram, and completes the construction of the histogram classifier. Experiment is made on OTB2015 benchmark for comparing the proposed tracker with other 5 state-of-the-art trackers. The results show that the proposed tracker has 3.7% and 2% improvement in distance accuracy and success rate respectively.

Abstract：It is of great significance to monitor the aging state of the supporting capacitors in the power converter in real time and to find and replace the defective capacitors in time. In this paper, based on the relevant voltage and current data, through the establishment of data sets, the network model parameters and model training are determined. Finally, the neural network model based on CNN-LSTM is obtained. The accuracy of the neural network model is verified by the data sets under different working conditions. The results show that the model can reliably predict the capacitance value.

Abstract：his paper presents a low-noise low-power third-order complex filter in UMC 40 nm CMOS technology. Based on follow-the-leader-feedback architecture inherently noise figure and routh-hurwitz stability criteria, the phase margin is designed in merely 36.8 deg of operational amplifier, achieving the low-noise low-power optimization. Simulation results show that the bandwidth is adjustable for 0.98～1.92 MHz, center frequency is adjustable for 0.68～1.34 MHz, the noise in-band is 90.6 ?滋V, spurious-free dynamic ranges is 73.7 dB, image rejection radio is 28.4 dB, and the total power consumption is 1.33 mW.

Abstract：In order to reduce the difficulty of designing the amplifier of the instrument in the application of physiological signal acquisition, a higher-precision analog-to-digital conversion unit is required. This paper implements a high-precision sigma-delta modulator with feedforward structure, which does not require complex OTA structure and high oversampling rate, and has low power consumption, and a second-order noise shaping dynamic component matching scheme used in DAC to avoid nonlinear harmonic distortion caused by multi-bit quantization. The sigma-delta modulator adopts SMIC 0.18 μm CMOS standard technology. At a sampling frequency of 1 MHz and a signal bandwidth of 1 kHz, the peak SNDR can reach 111 dB, the operating power supply voltage is 1.8 V, and the overall power consumption is 0.87 mW.

Abstract：With the rapid development of technology today and the advent of the Internet of Things era, people have higher requirements for the living environment. Smart homes are changing with each passing day. This paper proposes a wireless communication smart home design combining the STM32 development platform and China Mobile cloud platform. Compared with the traditional smart home, this design uses a combination of serial port and Wi-Fi. It gets rid of the complexity of wired transmission. Using MATLAB to analyze the monitored data by a normalized algorithm, users can monitor sensor information in real time through the cloud platform and realize intelligent control of home equipment.

Abstract：In order to quickly and accurately identify electroencephalography(EEG) for imagery movement, in this paper, a method is proposed for extracting active segments of EEG signal for imagery movement based on translating window. This method detects the ERS/ERD characteristics of EEG signal, extracts the time periods with obvious ERS/ERD characteristics, uses the statistics to extract feature, and classifies them with the Classify classifier.Using experiment data set Ⅲ of BCI competition in 2003, the classification accuracy rate reaches 83.571 4%. This method can evaluate the brain activity state of subjects, improve the recognition accuracy of motor imagery EEG signals, and be beneficial to the research of brain-computer interface real-time control system.

Abstract：In view of the susceptibility of single-node spectrum perception to multipath effect, hidden terminal, path loss and other factors, this paper proposes an eigenvalue ratio cooperative spectrum perception algorithm based on evidence theory. The algorithm takes the ratio of eigenvalues as the local perception result, calculates the reliability by the basic probability distribution(BPA) function and sends it to the fusion center, which conducts data fusion and judgment according to the fusion rules of D-S evidence theory. The simulation results show that compared with the relative algorithm, the algorithm has a higher security against malicious attacks to a certain extent. The detection probability of the algorithm is more prominent in the environment with low SNR or when the false alarm probability is higher than 0.6, and this algorithm also has high energy efficiency.

Abstract：In the field of cryptography, a random sequence is often used as a key, an initial vector or a time-varying parameter in cryptographic protocol. Actually, the randomness of a random sequence plays a very important role in the cryptography, since it determines the security of the whole system. The ciphertext sequence generated by a good cryptographic algorithm should not be distinguished by statistical methods. In this paper, we count the number of failures by using the national institute of standards and technology(NIST), which is executed on the ciphertext sequences generated by seven classic cryptographic algorithms. The analysis shows that the results are not statistically significant. Thus, the statistical test used in the paper can be used as one of the indicators to evaluate the quality of cryptographic algorithms.

Abstract：Aiming at the high-resolution and high-frame rate image real-time compression problem, a discrete cosine transform processor for high-speed image JPEG compression coding system was designed. The designed discrete cosine transform(DCT) processor is based on the Virtex-7 series FPGA, which makes full use of parallel and pipeline processing technology, and implements a fast two-dimensional discrete cosine transform(2D-DCT) by using a matrix-like decomposition algorithm based on the butterfly flow graph structure. In order to improve the data throughput rate, a dual-core DCT unit is designed to process 16 pixels at the same time, which improves the processing speed and reduces the delay as a whole. The board test shows that the calculation results of high-speed image DCT processor are correct. Under the 200 MHz system clock, the throughput rate is up to 3 GB/s, and the average image processing time per frame is no more than 10 ms, realizing the real-time processing of high-speed images.

Abstract：Scientific research data are valuable resources in teaching and scientific research work, in order to achieve scientific research data integration and sharing application, according to institutionalization, standardization and centralization, this paper has carried out research on construction of data supervision system covering whole process of construction, operation and management，and data sharing mechanism that conforms to the rights and obligations of interested parties. Data resource management platform architecture characterized by standardized management and service, and the scientific research data application framework for professional scientific research applications and comprehensive scientific research applications, can promote scientific research data management from decentralized to centralized, data quality control from subjective to standard, data maintenance from simple tool to comprehensive platform, data application from isolated application to system application. Research results will help thoroughly solving problems such as inconsistent descriptions, incompatible expressions and unclear organizational methods of basic data and shared data in various information systems, and provide institutional guarantee and technical support for information system interconnection and data comprehensive analysis application.

Abstract：At present, all kinds of intelligent network systems have been widely used, but due to the large number of nodes and complex external environment, its self-management has great challenges. The autonomous computing system(ACS) has the ability to manage itself according to the strategy and goal, and has broad application prospects in the complex intelligent network system. However, the current evaluation method of autonomic computing lacks accurate quantification to evaluate the self-management level of ACS. This paper firstly proposes an evaluation model of autonomic computing based on PEPA(performance evaluation process algbra). Then, according to the core idea of autonomic computing(less or no intervention),a self-management evaluation index is proposed. In addition, in order to avoid the state space explosion of traditional Markov chain caused by the huge scale of ACS, ODEs(ordinary differential equations) are generated from PEPA model by using continuous state space approximation method. The experimental results show that improving the detection success rate and self-* transition rate is of great significance to improve autonomic computing. This work provides an evaluation method for autonomic computing, which can automatically measure the self-management ability.

Abstract：Broadcasting encryption enables to establish a secrecy channel for distributing ciphered messages, the broadcaster adaptively chooses the set of authorized users before executing encryption operation, and only the authorized users could decrypt the received ciphered broadcast. This paper devises a public key broadcasting encryption construction with prime order asymmetric bilinear maps and proves it is static secure in the standard model. In the proposed construction, the overhead of ciphertexts and user secret keys are O(1), the public key overhead is O(N) in the total user number N. Compared with other related constructions, the proposal achieves static security based on non-interactive security assumption with the optimal overhead of ciphertexst and user secret keys.

Abstract：The OSD language automatic detection system needs to compare the identification output with the standard comparison table to determine the final result. The key is whether it can achieve matching and precise positioning.Therefore, based on the analysis and research of the classic single-pattern matching BM algorithm and multi-pattern matching AC algorithm, combined with the encoding method and characteristics of the Excel table, an Excel-oriented matching precision positioning algorithm is proposed.According to the characteristics of Excel table in row and column, the algorithm combines the contents of single column in a group of three rows, classifies them according to the total number of words in three rows N and the number of words in the middle row M, and uses the single pattern matching method to locate the matching.Compared with BM algorithm and AC algorithm, the algorithm has higher accuracy.

Abstract：In order to reduce the usage of the television remote control and realize low power consumption in the standby-awake scenario，based on the analysis of the consumer electronics control(CEC) 1.4 protocol, the paper proposes an HDMI_CEC standby-awake software scheme by cooperating the CPU and MCU, and implements the detailed functions on the single board described in the scheme. Finally, the actual function was verified by the SL309 instrument. In the verification results, it fully meets the requirements of TV standby-awake. The scheme provides methods and ideas for TV standby wake in low power consumption scenarios.

Abstract：At present, FPGA is the preferred control chip in the development of beam control system, but FPGA has the problems of long time consuming and large resource occupation in computing floating-point data, which limits the implementation of beam control algorithm. Based on this, this paper proposes an optimized beam control algorithm which combines look-up table and FPGA calculation. Taking 8×8 rectangular phased array antenna as the control object, the optimization algorithm is introduced in detail. Finally, a simulation platform is built based on Vivado/Xsim. The simulation and test results prove the correctness and efficiency of the scheme.

Abstract：The dynamics of the LED junction temperature seriously affect the changing laws of its optical characteristics. Aiming at the heat dissipation requirements of high-power LED arrays, a refrigeration control system is designed using thermoelectric cooler.Switching power supplies are prone to strong electromagnetic interference, a programmable linear power supply with fast response time and high stability is designed to drive TEC to work stably.Aiming at the problem that conventional linear PID has difficulty in achieving both rapidity and overshoot for the TEC refrigeration control system with nonlinear characteristics, this system is embedded in STM32 to realize fuzzy RBF neural network PID control, uses 6×3 W high-power LED array for testing, the experiment results proved that compared with the conventional linear PID control, the TEC refrigeration control system has shortened the adjustment time, reduced the overshoot, and the temperature fluctuation is only ±0.1 ℃. The refrigeration control system can improve the output light efficiency while maintaining the stable working environment temperature of the high-power LED array.

Abstract：In order to achieve the quality traceability of the dry-type water meter manufacturing process, so as to effectively monitor the quality and quantity of the dry-type water meter, according to the internal structure of the dry-type water meter, a miniaturized metal-resistant ultra-high frequency(UHF) printed circuit board(PCB)radio frequency identification(RFID) tags with performance to meet the quality traceability of the dry-type water meter is designed. The tag antenna adopts a bent dipole structure and can be embedded in a water meter. To improve the performance of RFID tag antennas in metal environments, based on the internal structure and size constraints of dry water meters, through the design, debugging and simulation of the concave bending structure of the antenna electric small loop, it discovers the degree of influence on the antenna center frequency and return loss, and realizes the miniaturization design of the tag antenna. The actual distance test and the minimum activation power test of the tag antenna sample verify that the maximum reading distance of the designed tag antenna after being embedded in the water meter is 3.2 m, and the actual center frequency is 900 MHz, which meets the reading requirements for quality traceability.

Abstract：In order to improve the molding quality of the electron beam fuse additive，a 20 kHz pulsed bias voltage control system was developed based on the principle of the bias voltage to adjust the beam current. Through in-depth analysis of its working environment, it selects high-speed DSP digital processing chip to realize the conversion of pulse beam base value, peak value to bias voltage base value and peak value. According to the input pulse frequency and duty cycle, the pulse beam output can be adjusted; and through the PWM generator chip, the fundamental wave above 100 kHz is output, and the DSP outputs the pulse synthesis mode, and then through the high-power operational amplifier, the base value, and the peak value series rectifier circuit, the pulse bias output can be obtained, and then the pulse beam output is regulated, so as to achieve a drop-by-pulse control mode.

Abstract：Plasma assisted ball milling technology requires high voltage power supply to excite the plasma field. However, high voltage plasma ball milling power supply has many problems such as large numbers of switch tubes, complicated control timing, and low reliability. Therefore, the high voltage plasma ball milling power supply based on single tube structure has been developed. Firstly, the working principle of the main circuit is introduced, and the inherent resonance frequency and resonance parameter selection of the primary resonance network are analyzed in detail. In addition, the voltage gain of the transformer and load series resonance network is utilized to further increase the amplitude of output voltage. Through Simulink software, the main circuit waveforms and the resonance voltage gain are verified. The peak-to-peak output voltage reach more than 24 kV. Based on the above, a prototype with an output power of 3 kW is developed, and the plasma field is successfully excited and used in auxiliary field ball milling.

Abstract：In order to solve the clock asynchronization problem of the different positioning base stations in the ultra-wideband(UWB) indoor positioning system based on the time difference of arrival(TDOA), a wireless clock synchronization method for single-area positioning is designed and implemented, and the clock synchronization extension from single-area to multi-area positioning is made. The wireless communication between the base station and the unknown node is used to obtain the time-stamp data of each base station firstly. Then, the clock synchronization module on the server side utilizes the time-stamp data and the base station location data to calculate the clock deviation coefficient between the base stations, which is applied to calculate the TDOA of the base stations. Finally, the positioning module on the server side makes use of the TDOA data to locate the unknown node.

Abstract：For interacting multiple model(IMM) target tracking theory, the invariable Markov transition probability matrix is used, and the residual model is used in the model probability updating, which is lack of real-time adaptability. In this paper, we propose to update the target state distribution based on the multi model filtering results, Bayesian estimation theory and multi model tracking results, update the model probability at the next moment according to the model likelihood function, and update the Markov transition probability matrix between models with the current filtering model target state distribution likelihood function. The Monte Carlo simulation is compared with the conventional IMM method, and the strong maneuvering target and disturbed static target scenes are simulated. The results show that the track error accuracy of this method is better than that of the conventional IMM method, and it can effectively track the maneuvering target.