Abstract：In response to the problems of insufficient technical support, inconsistent standards and specifications, and incomplete supporting tools faced by high-voltage power customer electricity safety management, this paper elaborates on customer side electricity safety policies and regulations, key technologies, standard specifications, and software and hardware equipment. The current research status at home and abroad is analyzed and summarized, and an online inspection technology system for electricity customer electricity safety is established. Key technical routes and solutions are provided from four aspects: safety characteristic modeling, safety information perception, intelligent fault diagnosis, and safety risk assessment. An "online+mobile" electrical safety online inspection equipment system has been established, and the main functions of the equipment have been designed.

Abstract：For the data center of modern power systems, identifying data inference risks during user access to data is particularly crucial. Especially when multiple users collude to steal data, it may lead to the inference of sensitive data from non sensitive data, resulting in sensitive data leakage and posing a serious threat to power dispatch and national security. Traditional access control mechanisms cannot identify this risk. Therefore, this article proposes a multi-party association data security risk identification model MPA-BN based on Bayesian networks, which comprehensively considers user access behavior, time patterns, interface types, and data interaction methods. Bayesian networks are used to analyze the access relationship between users and service interfaces, deeply explore the dependency relationship and probability characteristics between data, identify the correlation between external service interfaces in data, and potential risks of user combinations. The dataset used in this study is from the desensitization logs of the power company's data center, which includes 10 000 visiting users and generates approximately 1 million log entries. The experimental results show that the model can effectively identify the risk of multiple users colluding to steal sensitive data, providing stronger protection for the security of power system data.

Abstract：Currently, the business operations of power systems primarily rely on microservices, resulting in significant changes in business architecture. Data security capabilities need to be deeply integrated with business operations. However, existing data security measures are still based on traditional software and hardware architectures, making them inadequate for the dynamic and elastic protection required in cross-domain scenarios, and unable to adapt to the evolving business architecture. There is an urgent need to develop data sharing and interaction security protection technologies based on microservices architecture. Given the massive amount of data generated by power systems and the varying security requirements of different data types, ordinary microservices architectures struggle to address load imbalances under high concurrency scenarios in power systems. To tackle these issues, this paper proposes a microservice scheduling algorithm for data security capabilities based on the Kepler Optimization Algorithm (KOA), aiming to achieve load balancing and enhance the system's high concurrency handling capacity. By thoroughly modeling the resources of cloud cluster nodes and the performance of microservices, an optimization model is constructed with the goal of balancing cluster load and minimizing microservice runtime. Experimental results show that the KOA-based data security capability microservice scheduling algorithm significantly improves server load balancing, enhances cluster system processing efficiency, and reduces task response time, effectively boosting the system's concurrency performance.

Abstract：Digital twin is an essential technology in smart manufacturing and has practical value in factories. At a semiconductor testing services company, a digital twin system was used to collect over 200 000 alarm data points from probe stations. The analysis showed that more than 90% of the alarms were resolved remotely using the digital twin system. To improve the digital twin model and alarm management, alarms were replicated within the model by simulating different scenarios. Operating the digital twin system manually reduced equipment downtime by over 64% compared to traditional methods. Additionally, using an AI backend to automatically operate the digital twin system further reduced equipment waiting time by 78%. This highlights the importance of personnel response time to equipment alarms in affecting equipment downtime. Therefore, enhancing the use of digital twin models for automated alarm handling can significantly reduce equipment downtime and improve overall equipment utilization.

Abstract：A low-profile, wideband, low Radar Cross Section (RCS) magneto-electric dipole array antenna is designed in this paper. The resonant characteristics of the antenna unit are studied from the perspective of radiation and scattering coupling, resulting in the construction of two different units with similar radiation performance but nearly opposite phase reflections for the cross-polarized incident waves. A wideband-matched sub-array with low scattering for the main polarized wave is formed by using the same unit and SIW differential feeding in the main polarization direction. Subsequently, the scattering phase cancellation for the cross-polarized incident waves is achieved by deploying the sub-array in a mirrored configuration, effectively reducing the RCS of the antenna. The antenna operates in the frequency range of 26.77 GHz to 34.35 GHz (24.8%) with a peak gain of 17.7 dBi. Compared with the reference array using the same type of unit, the proposed magnetoelectric dipole array achieves a reduction of -10 dB in cross-polarization RCS from 22.5 GHz to 34.5 GHz, without significant gain loss within the radiation band.

Abstract：A low Radar Cross Section (RCS) microstrip antenna with composite reshaping technology is designed in this paper. The antenna RCS can be reduced with radiation performance maintained through simultaneously slotting along the patch and subtracting from the metal ground plate due to the area of the metallic part reduced. Compared with the traditional microstrip antenna, the antenna RCS reduction in the frequency band of 1~4 GHz with the maximum RCS reduction of 20 dB can be achieved based on this composite reshaping technology. The prototypes of designed antennas are fabricated and tested, and the test result verifies the correctness of the analysis.

Abstract：This paper introduces an engineering realization of a C-band 2 000 W GaN high linear solid-state power amplifier. Using 32 GaN power transistor chips and using microstrip Gysel power dividers and waveguide power dividers/synthesis networks for power synthesis, the power amplifier has a continuous wave saturated output power greater than 2 000 watts and a maximum output power of 2 290 watts in the operating frequency band of 900 MHz. Radio frequency predistortion technology is applied, and the improvement of the third-order intermodulation is up to 4 dB, which is better than -29 dBc. A forced air cooling scheme is chosen for finned radiators with heat pipes to improve the heat transfer efficiency, and the heat dissipation performance is excellent. The power amplifier is equipped with comprehensive control and protection functions, the reliability and practicality of which meets the requirements of engineering use. The socket and power module adopt a hot swappable design, which is convenient for quick maintenance and suitable for microwave transmission system in fields such as measurement and control, communication and broadcasting.

Abstract：In response to the increasing demand for higher operating frequencies of satellite communication, a receiver operating in Extremely High Frequency (EHF) band which realized RF receive and down-conversion function is designed. The receiver includes waveguide-microstrip probe transition, low noise amplifier, microstrip filter, local oscillator circuits, mixer and feed circuits. The advantages of the receiver are low noise figure, high gain and high out-of-band rejection. The receiver also utilizes Monolithic Microwave Integrated Circuit (MMIC) hybrid multifunctional integration technology to realize miniaturization and universalization, making it suitable for different EHF band transceiver front-end application with broad application prospects.

Abstract：In this paper, a novel Fabry-Perot (F-P) resonator antenna with one-dimensional electronic beam-steering is designed. The antenna uses a square microstrip patch antenna fed by a coaxial probe as the radiator, and uses a reconfigurable partially reflective surface (PRS) loaded with PIN diodes to realize beam-steering. The designed reconfigurable PRS consists of 6×6 petal-type unit cells that are divided into two equal parts, Part 1 and Part 2, which are independently controlled by two control signals. Therefore, the switching state of each part of the PIN diode can be selectively adjusted. The designed antenna has three different radiation modes. The proposed antenna is designed and measured, and the measurement results show that the main beam of the antenna can be switched freely in +9°, 0° and -9° discrete states. The overlap impedance bandwidth (|S_11 |<-10 dB) in all states is 5.5% (5.43~5.74 GHz), with a maximum gain of 14.2 dBi.

Abstract：The advent of the global aging era has brought critical issues concerning the elderly health care to light, and indoor falls pose a significant safety risk to seniors who live alone. Therefore, in order to accurately detect the action of falling, this paper uses millimeter-wave radar 3D point cloud data for indoor fall detection and introduces a PointLSTM network based on an external attention mechanism to classify 3D point clouds over time. The millimeter-wave radar chip of the MIMO system collects the echo signal of human movements, and the signal processing part is realized by using the microcontroller integrated with the radar baseband processor, which can convert the raw data into a three-dimensional point cloud in real time, and improve the computing speed in point cloud processing and the overall performance of radar hardware. The PointLSTM network based on external attention mechanism enables spatial and temporal feature extraction and classification of point clouds. The network addresses the loss of point information between frames in PointLSTM and links features across all data during information extraction. The external attention mechanism, with its independent learnable parameters, optimizes network complexity and recognition accuracy. Experimental results show that the proposed method achieves a detection accuracy of 98.3% in indoor environments, effectively differentiating between types of motions and confirming the feasibility of using millimeter-wave radar 3D point clouds for detecting human falls.

Abstract：Mutations and abnormal expressions of miRNA can potentially lead to various diseases. Hence, predicting the latent correlation between miRNA and diseases holds significant importance for the advancement of clinical medicine and drug research. The topology structure constitutes a crucial component of miRNA-disease prediction algorithms. However, the current algorithms inadequately leverage the topological structure, resulting in suboptimal predictive outcomes. Simultaneously, effectively integrating multi-source data is a current research trend. In response to the aforementioned issues, this paper proposes an adaptive algorithm for fusing heterogeneous node structure information (MMTP). MMTP enhances miRNA-disease prediction accuracy by adaptively integrating heterogeneous node structure information through the utilization of first-order neighbors and metapath-induced network learning of structural features, employing metric learning and topology propagation. Results from a 5-fold cross-validation experiment demonstrate that MMTP achieves Area Under the Curve (AUC) of receiver operating characteristic values of 94.81 on the HMDD v3.2 datasets, surpassing other models. Moreover, in a case study focused on renal cancer, all of the top 30 miRNAs predicted by the model are confirmed. The aforementioned research confirms the efficacy of the proposed MMTP model in predicting miRNA-disease correlations.

Abstract：The fixed-point multiplier is one of the commonly used computing units in modern signal processing, and its overall performance directly determines the competitiveness of the system. In order to improve the computational efficiency of the multiplier, a new type of energy-efficient signed number multiplier is designed, which uses the radix-4 booth encoder to reduce the partial product by half, and uses the method of directly finding the opposite number instead of the traditional method of taking the inverse plus one to find the opposite number, so that the number of bits of the partial product array is reduced, the shape is regular, and it is easy to compress. The new tree compression structure with a mixture of 3-2 compressor and half adder proposed in this paper has obvious optimization of hardware resource overhead. Compared with the existing multiplier XOR(Exclusive-OR) gate, the number of XOR gates is reduced by 14%, the number of selectors is reduced by 31%, the total area is reduced by 50%, and the computational efficiency is greatly improved.

Abstract：To enhance the IP reusability and applicability of the I2C bus controller, this paper presents the design of a low-power I2C bus controller. This bus controller is integrated into the MCU system, not only meeting the I2C bus protocol for communications but also capable of waking up systems in low-power modes, allowing the chip to resume normal operation. The paper introduces the low-power techniques adopted, along with the design and implementation of the I2C communication and low-power functionalities. System simulations of the designed I2C bus controller demonstrate successful implementation of the I2C bus protocol for communication and the ability to wake up low-power systems, meeting the design expectations.

Abstract：System-in-package （SiP） has become the main technical route to continue Moore's law in the post-Moore era. Driven by the miniaturization and multi-functionality of electronic equipment，it has broad prospects in the field.This paper describes an implementation scheme for miniaturized multicore signal processing based on SiP technology. The specific methods and ideas of chip-level design and packaging are described in detail. The design and implementation of a multi-core processor microsystem based on SiP technology is proposed.

Abstract：With the widespread application of Unmanned Aerial Vehicles (UAVs) in urban scenarios, traditional trajectory planning algorithms face challenges in considering multiple constraints for UAVs’ 3D trajectory planning, such as handling various risks and avoiding local optima. In this study, based on real urban building data, considering Geofence, crowd density, and social attributes, a UAV operating environment in urban settings is constructed, and a real 3D environment model is established. Then a visualization platform for 3D UAV trajectory planning in urban environments is implemented. This platform builds a grid-based urban airspace model and quantitatively analyzes the flight suitability of grids. Based on these analyses, an improved Lazy Theta* algorithm is used for UAV trajectory planning. Through the visualization platform, the 3D display of trajectory planning is provided to better realize human-computer interaction, and it also serves for simulating and verifying 3D UAV trajectory planning in real urban environment.

Abstract：Aiming at the problem that the image of defects on the surface of copper plate is easily affected by non-uniform illumination, which results in reflections and brightness distortion and makes it difficult to apply the image to detection, an enhancement method for the image of defects on the surface of copper plate under non-uniform illumination scenario is proposed. Firstly, the light components in the image are extracted, chunked and then optimized according to the brightness of different chunks. Based on the chunking, adaptive gamma correction is performed to adjust the overall brightness of the image. Then, Top-Hat transform is used to enhance the defective regions in the image, and finally the images before and after Top-Hat transform are fused to obtain the final image. The experimental results show that the information entropy of the enhanced image is improved by 10.51%, 5.29%, and 2.89% in three types of defects, namely scratches, scratches, and holes, respectively. Compared with other image enhancement algorithms, the proposed algorithm can effectively inhibit the reflection of the defects on the surface of the copper plate, improve the quality of the image and enhance the defective regions in the image.

Abstract：Sap flow is subject to the combined effects of physiological activities and multiple environmental factors, and exhibits nonlinear and stochastic characteristics, which poses a challenge to the accuracy of prediction models. In this regard, the advantages of CNN convolutional layer, BiLSTM bidirectional network structure and attention mechanism are combined to extract the local features, long-term dependence and key information of sap flow sequences, respectively, and the CNN-BiLSTM-Attetion sap flow prediction model is constructed according to the self-test ginkgo sap flow data set. The model has the R2, MSE, and MAE of 0.977 3, 0.002 9, and 0.013 4, respectively, which are all improved in varying degrees compared with the CNN, BiLSTM, XGBoost, RNN and TCN. In addition, feature engineering is also used to rank the importance of environmental factors and analyze the response regularity of ginkgo sap flow to environmental factors at the beginning of the growing season, which provides a theoretical basis for irrigation and maintenance of ginkgo at the beginning of the growing season.

Abstract：SAR image coastline detection is an important part of SAR nearshore ocean target detection. A coastline detection method for SAR images based on multi-scale saliency detection is proposed to detect the coastline of low contrast SAR images. Firstly, the SAR image is subjected to multi-scale transformation based on the scale coefficients, and then the spectral residual method is used to detect the saliency of each scale image, resulting in a series of saliency subgraphs. Then, the NSCT transform is applied to fuse each salient sub image to obtain the final salient map, which is then substituted into the active contour model for detection, and the detection result is obtained. The experimental results of SAR images show that compared to traditional methods, this method improves its adaptability to low contrast images and enhances its noise immunity.

Abstract：For the airborne identification friend or foe (IFF) interrogator used under radar azimuth traction condition, there is an issue of large beam pointing deviation during the aircraft turn section. In this paper, the deviation source is deeply analyzed and the impact degree of the error is simulated, it points out that the beam of the IFF interrogator cannot able to be aligned with the target if the beam pointing is set according to the indicated direction of the radar. In this paper, a beam pointing deviation correction algorithm for airborne interrogators is proposed, which corrects the IFF interrogator’s beam pointing, and simulation verification is carried out. The simulation results show that the correction algorithm proposed in this paper provides the capability for maintaining high direction accuracy of the IFF interrogator during the aircraft turn section, and promotes the development of the airborne IFF/SSR system.

Abstract：Airborne radar is limited by the carrier platform and cannot obtain a larger aperture array, while on unmanned aerial vehicle platforms, the radar array can be reduced to zero. Under the condition of finite array elements, a sparse array can be used to obtain a larger aperture array. However, sparse array can cause the elevation of directional grid lobes and side lobes, and it needs to be optimized to eliminate grid lobes and reduce side lobes before it can be used. The optimization of sparse array pattern is a discrete optimization problem. In this paper, the particle swarm optimization algorithm is applied to the sparse array of unmanned distributed radar. The algorithm principle is simple, the running speed is fast, the adjustable parameters are few, and the directional pattern without grid lobes and low sidelobes is obtained with fewer array elements, thereby improving the performance of unmanned distributed array.

Abstract：The Direction of Arrival (DOA) estimation, crucial for determining the source or target, finds wide applications in radar, communication, navigation, and various other fields. This paper presents the design and implementation of a high-precision synchronized multi-antenna system for DOA estimation based on FPGA and multiple AD9361 chips. The system employs hardware design with calibration sources feeding back to each receiving channel, utilizes FFT for precise phase difference estimation, and incorporates iterative optimization calibration to compensate, thus achieving high-precision synchronization. It offers advantages of high precision, stability, and portability. Testing results demonstrate that the system converges rapidly to an error of±0.2 degrees in multi-channel phase within the frequency band of 100 MHz to 1.25 GHz, maintaining stability for 99.74% of the time. Compared to synchronization methods using a shared external reference oscillator, this design simplifies the oscillator design, reduces phase errors from ±5 degrees to ±0.2 degrees, and has the advantages of easy implementation, scalability, and real-time performance.