Abstract：We designed an RF microsystem by using silicon-based three-dimensional heterogeneous integration process to meet the requirements of high performance and miniaturization of RF modules. To fully evaluate the potential reliability risk of the microsystem in the early stage of design, we establish a multi-physics integrated simulation process for this RF microsystem according to the process characteristics and the multi-physics coupling phenomenon. Then we analyze the electro-thermal and thermal-mechanical coupling processes involved, predict the thermal and mechanical characteristics of the product under working conditions, provide targeted guidance for the design process, and avoid reliability risks in advance, so as to effectively improve the success rate of one-time design.

Abstract：With the development of chip manufacturing technology and packaging technology, the device integration and signal speed inside electronic products continue to increase, and microsystems become an emerging form, which leads to increasing requirements for power integrity. Unreasonable power supply integrity design will bring great interference to power quality and signal quality, and even make the system collapse. In this paper, the power supply integrity of the designed multi-chip microsystem was simulated, and the PDN impedance was optimized by the collaborative decoupling of substrate and PCB decoupling capacitor network, which solved the contradiction between the limited space inside the microsystem and the large demand for decoupling capacitor, and ensured the power supply integrity of the microsystem.

Abstract：In order to improve the calibration efficiency of inter-channel error of multi-channel receiver，a digital comb spectrum calibration source module with low peak to average power ratio(PAPR) is designed and implemented. This module is based on the hardware structure of FPGA+DAC and uses the DDS principle to generate comb spectrum signal. In order to reduce the PAPR of the comb spectrum signal, the genetic algorithm is used to optimize the initial phase of each subcarrier of the signal, and a group of initial phase combination which is better than the algebraic suboptimal solution is calculated. The PAPR is reduced from 4.98 dB of the suboptimal solution to 3.98 dB, and the subcarrier power and outside pass-band spur suppression of the comb spectrum signal are improved, optimizing the signal quality of the comb spectrum module. When the output range of the comb spectrum signal is170 MHz ~230 MHz with the spectrum interval of 1 MHz, the subcarrier power is -35.5 dBm and the outside pass-band spur suppression is 64 dBc, which fully meets the requirements of the calibration source.

Abstract：With the increasing integration of integrated circuit, the area of the chip is getting smaller and smaller, and the density of cells in the chip will increase, which will bring many challenges to the physical design of the chip. The decrease of the chip area directly affects the routing resources, leading to the congestion, and seriously causes the problem of short, and the problems of timing and crosstalk. This paper proposes an improved method of power design, which greatly improves the space utilization of signal wire，and solves the problem of short in the high integration chip.

Abstract：When integrating multi-channel high-speed ADC (Analog-to-Digital Converter) with LVDS (Low Voltage Differential Signal) interface in SIP (System In a Package) system, it is faced with the problem of clock-to-data skew, data-to-data skew, accumulated clock jitter and so on caused by different LVDS channel with different delays. Therefore, a multi-channel LVDS receiver was designed in this paper which can adaptively adjust the skew of each LVDS channel. The receiver uses data clock recovery technology to generate eight multi-phase sampling clocks, combining with ADC test mode to confirm the sampling phase of each channel, the delay of each channel can be automatically adjusted, aiming to align the sampling phase of channels and ensure the data correct. Finally, the receiver was designed, simulated, and realized based on advanced CMOS technology. The results of simulation and chip test show that the receiver can automatically adjust the delay of each channel to align the sampling phase, the maximum range of sampling phase adjustment is ± 3 bit, and the signal-to-noise ratio is greater than 65 dB, which meets the design requirements and application requirements.

Abstract：The traditional methods for testing the frequency of quartz crystal resonators include indirect calculation method, signal source oscillation method, and network analyzer method, each of which has significant shortcomings. This article proposes three new testing methods based on the frequency characteristics of quartz crystal resonators: oscilloscope testing method, frequency meter testing method, and spectrograph testing method. These three methods differ in basic testing principles, equipment configuration requirements, testing accuracy, and applicable environments. This article provides a detailed comparison of the advantages and disadvantages of these three methods, and proposes selection suggestions for different application conditions. If only the frequency of quartz crystal resonators needs to be measured, the spectrograph testing method can be used. If it is necessary to measure the frequency and know the characteristics of the frequency, it is advisable to use the frequency meter testing method. The testing rules of oscilloscopes can be used for rough measurement of the qualitative frequency of quartz crystal resonators. In addition, the possibility of instrument collaboration testing has been explored based on their respective advantages.

Abstract：In order to improve humidity measurement efficiency and the digital security management, a humidity verification system based on Modbus protocol is designed. The system achieves automatic control of humidity generators by studying the Modbus RTU protocol mode, precision dew point meter data format, and Agilent34401A programmable instrument standard command protocol. The system improves the verification efficiency and data security. The expanded uncertainty of humidity calibration system calibration results is 1.3%. The system measurement results are validated by using the evaluation of measurement instrument characteristics and transmission comparison method. This indicates that the system measurement data can be used for operational applications.

Abstract：The design of new malicious code is becoming increasingly complex, and traditional recognition and detection methods can no longer meet current requirements. Therefore, based on the analysis of the BODMAS dataset, this paper performs visualization processing and classification. At the same time, considering that the existing malware visualization classification models mainly rely on global features, this paper designs a CA (Channel-level local feature Attention) module and a MA (Multi-scale local feature Attention) module based on the convolutional neural network, and constructs two new models that cleverly combine global and local features. On the BODMAS dataset, the new models have achieved an increase in the average accuracy of recognizing and classifying malware types compared to the methods described in the BODMAS dataset paper. This proves the feasibility of dataset visualization and the effectiveness of the new models, providing important data and experimental basis for future research.

Abstract：One thermal power plant experienced an abnormal event where all controllers were restarted due to a DCS network failure, resulting in unplanned shutdown of the generator set. This article provides a review of the handling and investigation for this incidents. Through simulation testing, log analysis, on-site inspection, and other methods, the cause of network failure was identified as a unidirectional fiber optic link failure between the aggregation switch and an access switch.A detailed analysis was conducted on this fiber optic unidirectional link failure event. This network failure can provide a reference for the daily maintenance and accident prevention of DCS with similar network architectures.

Abstract：There are more and more issues related to food safety and pollution risk, and efficient traceability solutions are urgently required. Through traceability, the source of food can be traced efficiently and held accountable to improve food safety. To this end, this article designs an agricultural supply chain traceability mechanism based on Ethereum smart contracts. This mechanism optimizes the blockchain agricultural product traceability process by introducing NFT technology. The experimental results show that the supply chain framework proposed in this article is better than the existing blockchain traceability base standard technology in terms of cost efficiency and traceability efficiency.

Abstract：The classification research of visual charts holds significant implications for chart comprehension and document parsing. This paper has constructed two datasets, each containing 16 common chart types, using web scraping and software generation. These datasets exhibit certain advantages in terms of quantity, type, and stylistic diversity. This paper has also conducted experiments comparing Transformer and Convolutional Neural Network (CNN) architectures on three datasets, and the results indicates that the Transformer architecture has certain advantages in the task of chart classification. Utilizing the Swin Transformer model, this paper designs various data augmentation strategies, not only increasing the generalization of the model, but also introducing the distribution difference. By averaging predictions from models trained with different strategies, there is a significant improvement in classification performance compared to individual models. The ensemble model was tested on 6 test sets, with classification accuracy exceeding 0.9 in all cases. For generated charts with high image quality and simple visual forms, the model's classification accuracy approached 1.

Abstract：With the development of Software Defined Radio（SDR） technology and internet technology, a large number of internet receivers are connected to the internet and can access their spectrum waterfall data at will. Spectral waterfall plot is a way to display the frequency domain and time domain characteristics of signals, visually displaying signals of different frequencies in the form of images. In order to better monitor specific signals in the spectral waterfall plot, it is necessary to intelligently identify specific signals in the spectrogram. This article uses deep learning technology to recognize specific signals in the waterfall spectrum, and the recognition accuracy is more than 90% when the signal-to-noise ratio is more than 5 dB.

Abstract：Maize, a crucial staple crop in China, is frequently beset by production challenges stemming from diseases such as maize Northern Leaf Blight, Southern Corn Leaf Blight, and rust, along with insect pests. These maladies significantly undermine maize yield and quality, presenting a potential menace to agricultural production stability. In recent times, visual disease detection techniques have emerged as pivotal instruments for disease management, offering heightened precision relative to conventional methods. This paper leverages the Mask R-CNN architecture as its foundation, integrating DyHead, Groie, and OHEM modules to augment the model's proficiency in segmenting images containing minute disease manifestations. The enhanced Mask R-CNN model exhibits outstanding performance in disease image segmentation, witnessing a 4% uplift in mean average precision (mAP) and an 8.5% enhancement in accuracy for small object segmentation. Compared to analogous instance segmentation models like YOLOv5 and YOLACT++, this model displays superior prowess. To substantiate the utility of each incorporated module, ablation studies were carried out, revealing their constructive roles. Thus, this methodology furnishes a sturdy theoretical underpinning and technological means for the efficacious and precise detection of maize Northern Leaf Blight.

Abstract：In this paper, a novel optimization design scheme is proposed to solve the cascading mismatch problem of sub-circuits in beamforming chips due to parasitic effects. The optimization design scheme proposed in this paper is a design scheme that realizes impedance “pre-mismatch” by introducing the impedance traction effect of adjacent modules and offsetting it with the cascade impedance mismatch. The theory of the “pre-mismatch” technique is provided in the article and a 4-channel X/Ku-band RF transceiver chip has been fabricated to verify the feasibility and effectiveness of this scheme. Compared to conventional designs, the chip operates within the frequency band of 8 GHz~18 GHz, with the receive and transmit average link gains of 6.5 dB and 14 dB, respectively. Both transceiver link gains are increased by more than 2 dB. The transmit link output power is 21 dBm and power-added efficiency is 15.7%，optimized by 1 dB and 9%. The receive link noise figure of 8.72 dB is reduced by 1.2 dB. The maximum phase-shifted root-means-square errors of the transceiver link are 5.25°and 5.12°, with a decrease of 1.75° and 3.17°.

Abstract：To improve the flexibility and reliability of soil moisture sensors, a low-cost chipless RFID sensor is designed for wireless monitoring of soil moisture. The sensor consists of three Complementary Split Ring Resonators (CSRR) and two orthogonal broadband circular microstrip patch antennas. Two CSRRs of the same size are closely spaced, which can easily cause coupling between resonators, resulting in more significant changes in resonant frequency in high moisture soil. In addition, the CSRR as a reference resonator is used to eliminate the influence of environmental conditions and improve the reliability of measurement. Two microstrip patch antennas are used for transmitting and receiving signals, achieving wireless sensing function. The Radar Cross Section (RCS) of the sensor with single and double CSRR structures is studied, establishing a linear relationship between soil moisture and the difference in resonance frequency. This relationship has been further confirmed through actual measurements. The experimental results show that the sensor has a sensitivity of 18.2 MHz/%θ at soil moisture ranging from 0% to 12%.

Abstract：Images collected under severe weather conditions have problems such as poor contrast and reduced clarity. The deterioration of image quality limits the accuracy of computer vision and the efficiency of automated tasks. This article proposes an image dehazing algorithm based on contrast limited adaptive histogram equalization (CLHE) and improved multi-scale Retinex (MSR). In this algorithm, the input foggy degraded image is first processed by the CLAHE algorithm and then the MSR algorithm. When processing the image with the MSR algorithm, the Gamma correction factor is introduced to estimate the incident light and the surround function in the algorithm is optimized. The results show that compared with the original image, the image processed by this algorithm has improved the information entropy, average gradient and standard deviation of the image. The hardware circuit was designed and the video real-time dehazing was successfully demonstrated on FPGA, which improved the quality of the video image. A digital analysis of board-level resources and function consumption was conducted, proving that the hardware system in this article belongs to the low-power category.

Abstract：This paper presents a half-bridge LLC resonant multistage high voltage converter circuit for 6~18 GHz 50 W ultra-small microwave power module. Through the design of half-bridge LLC resonant converter and the research of improved feedback loop based on type 3 phase compensator, the low-voltage 48 V is boosted to the 4-channel high voltage required by the cathode of the traveling wave tube and the three-stage step-down collector, and the overall high voltage efficiency is improved from 92% to 95% compared with the MPMs of the same power level. The experimental test efficiency reaches 95% in the range of input voltage 44~52 V, and the minimum efficiency exceeds 92%. The change of cathode voltage output is less than 1 V when the power supply switches between no load and full load.

Abstract：In order to meet the charging requirements of the repetitive pulse power source based on inductance isolated Marx generator, a burst repetitive high-voltage and high-power pulse charging power supply was designed and developed. The power supply adopts the pulse transformer technology route, with a designed charging voltage of 90 kV, charging current of 1 kA, adjustable charging repetition frequency of 1~100 Hz, and a maximum burst charging frequency of 5 times. This article introduces the working principle of charging power supply, conducts circuit parameter calculation and structural design, and obtains the parameters of main components such as thyristors, primary power supply, and pulse transformers. This power supply charges a compact Marx generator with an equivalent total capacitance of 0.7 μF, achieving a charging voltage of 90 kV, a charging time of less than 120 μs， and technical specifications for charging repetition frequency of 10 Hz. The development of this power supply has reference significance for further miniaturization research of high-power repetitive pulse power sources.

Abstract：In order to improve the development efficiency of commercial satellite house-keeping software, reduce the impact of satellite component product development progress on the whole satellite software development, and facilitate satellite batch production, a design method of configurable satellite electronics semi-physical simulation system is proposed in this paper. The electronics simulation system is composed of OBC, communication interface department, on-board electronics stand-alone simulation part and system test part. Using the configurable, universal, highly integrated and modular design ideas, the OBC with configurable characteristics, flexible and configurable multi-functional on-board electronics single-unit simulation simulator, reconfigurable communication interface and intelligent system test interface integrate a set of configurable satellite electronics simulation system. The results show that the system can provide semi-physical simulation experimental data for the whole satellite, and meet the development requirements of satellite house-keeping software of different types. At the same time, it has the function of connecting physical single machine for simulation test. The electronic simulation system can improve the development efficiency of satellite service software, is conducive to the mass production of satellites, and has important engineering significance.

Abstract：Space solar power station is an effective way to efficiently use solar energy to solve the current severe energy crisis, and it is important to realize the air-to-ground transmission of electric energy from space solar power station to the earth. Wireless power transfer technology can realize the contactless transmission of electric energy, and has high safety, reliability and convenience, which is an effective measure to solve the problem of air-to-ground power transmission. This paper analyzes the research and application status of wireless power transfer technology in space solar power plants, and expounds the bottleneck problems to be solved and the key technologies to be further developed, aiming to provide reference and guidance for subsequent related researchers.