Abstract：Trees play a vital role in maintaining ecological balance, protecting biodiversity, regulating climate and improving air quality. In order to solve the problem of low tree identification accuracy in complex backgrounds, a tree species identification model MFFMN-KD-TA for common arbor in subtropics is proposed based on tree multi-feature fusion and knowledge distillation. The model uses three parallel MobileNetV3_Small backbone networks to extract features of leaves, trunks and overall trees respectively, and optimizes training by using knowledge distillation and embedding Triplet Attention modules. The test results show that the accuracy, precision and F1 score of the MFFMN-KD-TA model on the self-built tree test set are 0.960 9, 0.962 1 and 0.960 8 respectively, which are 3.05%， 2.83% and 3.07% higher than the MFFMN model respectively. Compared with the three-branch fusion models 3-ShuffleNetV2 and 3-MobileNetV2, the multi-feature fusion model MFFMN-KD-TA proposed in this study has a smaller number of parameters and can identify arbor species more accurately, providing a new idea and method for tree species identification in subtropics and other areas.

Abstract：A prediction framework for the spatial structure of protein folding based on cloud computing is proposed and implemented. The original data of protein sequence is obtained through the data cloud storage unit and stored in the cloud using the HDFS distributed storage mode. After the resource and queue manager RQM (Requirements Quality Management) starts the cloud virtual machine, it is used as the Sensor Node which establishes the minimum protein molecular energy optimization function based on two-dimensional AB non-lattice model. The quantum genetic algorithm is adopted for local search mechanism to optimize its solution. The cloud GPU equipment is used to process the model training data to complete the automatic prediction of the spatial structure of protein folding. The experimental results show that the proposed approach can achieve the smaller calculation result of protein sequence energy potential function, the higher execution efficiency, and the higher GDT-TS (Geothermal Development and Testing Tool Suite) evaluation index value.

Abstract：With the scale of Digital IC increasing, ECO is more frequently and largely used during implementation flow. When hundreds of newly added registers are required, the manually insertion to exist scan chain for these registers is a big challenge for engineers. This paper describes an automatic solution for above problem with both logical and physical concerns, based on Cadence Conformal and Innovus. For logical part, the clock domain consistence is correctly obeyed. And for physical part, both longest scan chain length and Place&Route friendly requirement are covered well. Moreover, as the nature of automatic solution, hundreds of newly added registers could be inserted efficiently and safely during practice.

Abstract：The pursuit of performance，power and area (PPA) has become the consensus of IC chip design, especially the development to advanced process nodes. PPA has become a crucial metric of overall performance of IC design. Especially for the modules cloned numerous times in large-scale SoC chips, the pursuit of PPA becomes more extreme. This document describes how to improve the PPA optimization solution based on the Genus and Cerebrus tools of Cadence and the optimization of the Synthesis and the Back-End PR stage. The final result shows that, under the convergence of timing and DRC, employing the Cerebrus tool compared to Innovus can reduce power by 3.5% and area by 3.1%. Furthermore, utilizing the Genus+Innovus flow can reduce power by 6.4% and area by 8.5%, significantly decreasing chip area and power.

Abstract：With the evolution of process, the continuous scaling of size introduced more parasitic paths and larger parasitic resistors, causing great differences between the results of post-simulaion and pre-simulation. How to quickly narrow the gap between post-simulation results and pre-simulation results becomes an improtant topic. In traditional design, parasite can only be analyzed through tools like Quantus Extracted View, and the results cannot be displayed in more detail. How to better analyze the parasitic netlist has become a great challange. In addition, after problems found in post-simulation, the design can only be optimized by an iteration process of modifying the circuit design-modifying the layout design-redo the post-simulation. This iteration process is a long period, how to reduce the iteration time cost becomes a key issue for design companies. Virtuoso iQuantus Insight (ViQI)/Quantus Insight (QI) can do accurate parasitic analysis and visuallization based on the parasitic netlist file. Engineers can use this to accurately analyze parasitic parameters, and assume the parasitic values to optimize the design without layout modification. This article describes how to fast iterate the circuit design using ViQI/QI, and so greatly improve work efficiency.

Abstract：With the increasing scale and complexity of hardware design, the verification convergence challenge is becoming more difficult. Simply increasing the number of CPU cores to increase parallel testing cannot solve this problem fundamentally. How to achieve verification convergence before tape-out is a difficult problem that verification engineers have to face. To solve this problem, this article proposes two efficiency improvement solutions: AI-driven verification EDA tools and large-scale model generation. The EDA tools include Cadence's AI-driven Verisium apps and Xcelium ML using machine learning technology. The former is used to improve the fault location efficiency of verification, including Verisium AutoTriage, Verisium SemanticDiff, and Verisium WaveMiner. The latter can be used to improve the verification coverage convergence efficiency. Large-scale model generation can assist intelligent debugging and automatically generate verification cases. This article mainly introduces each implementation solution and gives the project experimental improvement results.

Abstract：Formal Property Verification can abstract DUT into a state space for traversal, enhancing convergence speed and improving verification quality for boundary, exceptional, and complex combination scenarios that are difficult to reach through dynamic simulation. However, developing high-quality properties requires a high level of expertise from verification engineers. In the face of this challenge, this paper proposes a reusable FPV platform solution based on Cadence Jaspergold ABVIP, which can be reused across different modules, reducing FPV verification platform setup time, improving property quality, and leveraging AI tools to generate an accelerated proof efficiency database. The FPV platform library + AI database has been implemented and reused in a certain automotive project at Sanechips, identifying four faults missed by dynamic simulation. Proof Master can be applied throughout the project lifecycle, with an average regression efficiency improvement of 80.17%, and the FPV platform library + AI Database can enhance FPV initial proven efficiency by 44.96%. Meanwhile, this article also discusses the improvement of property writing efficiency using LLM.

Abstract：With the increasing speed and complexity of products, for simulation, it not only requirs the simulation itself to have a very high accuracy, but also puts forward high requirements for the efficiency of simulation. Specific to different signal modules, such as DDR systems or high-speed signals, because of the increasing speed, more and more people hope simulation can tell us the "optimal solution", such as the optimal configuration of DDR5 particles ODT, the optimal equalization and de-emphasis configuration of chip. How do you get the relatively optimal parameter among hundreds or thousands of combinations of parameters? Traditional software can only be screened through a large number of scans, which has a relatively large cost in both simulation time and engineer's energy. In this paper, Optimality software is used. By sharing some specific simulation cases, we can see the intelligence of the software, which can help us select the optimal parameters more quickly, make the simulation work of DDR and high-speed module easier, and fully reflect the efficiency of this software.

Abstract：The steady-state evoked EEG has frequency labeling characteristics, which is widely used in the research of brain perception and cognition. The interaction between the two types of perceptual functions can be explored by using bimodal stimulus. Therefore, a periodic sensory stimulus system integrating visual and auditory modes is designed. The system controls AD9959 to output two sinusoidal signals with STM32F103RC as the core. The output signal is processed by a seven-order low-pass filter circuit and a ten-fold amplification circuit, and then the LED light and buzzer are controlled to generate visual and auditory stimulus. The average errors of the sinusoidal signal parameters output by the system are 0.03% (frequency), 1.10% (amplitude), and 0% (phase), respectively. Further, EEG acquisition experiments are carried out. The experimental results show that the visual and auditory stimulus output by the system can produce steady-state evoked EEG. The system has application value in the research of visual-auditory perception function.

Abstract：The security services of the intelligent fusion terminal in the low-voltage distribution area are concentrated in the security chip, including the storage and use of keys, the identity authentication with the cloud side, and the encryption and decryption of data. Aiming at the problems of high hardware cost and complex key management in the centralized forwarding scheme of intelligent converged terminal security services, a method of data interrupt caching and service queuing distribution is proposed through the structured design of protocol and state machine polling, which realizes the fusion of multiple security services on one security module. The fusion scheme makes full use of the idle time slice of the security module. The key management of different services is unified, and the feasibility and reliability of this method is verified by functional and stress tests. It achieves the purpose of cost reduction and efficiency increase, and proves that the security service integration of intelligent fusion terminal in distribution station area is technically feasible, economically sparing and necessary in service.

Abstract：With the rapid development of 5G technology and the Internet of Things (IoT), a large number of IoT devices are connected to wireless communication networks. Due to the limited computing and energy resources of IoT devices, the integration of Mobile Edge Computing (MEC) and Wireless Power Technology (WPT) can provide energy and computing task processing service for Mobile Device (MD). This article firstly constructs a task offloading model for multi-user devices and multi-servers. Then, based on the particle swarm optimization algorithm, Levy flight strategy and improved weight update method are added to propose the S-PSO algorithm to optimize the system’s latency and energy consumption. Finally, simulation results show that the S-PSO algorithm effectively reduces the system’s latency and energy consumption compared to other benchmark schemes, and improves the performance of the computing network.

Abstract：In this paper, the frequency synchronization problem encountered by a domestic trunking system using quasi-coherent demodulation is studied and discussed, and the solution is proposed. Because quasi-coherent demodulation requires very high frequency synchronization accuracy of transceiver systems, it is difficult to meet the requirements by using conventional frequency offset estimation and compensation scheme, which makes the performance advantages of quasi-coherent demodulation unable to be reflected. In order to solve this problem, this paper proposes a segmented phase tracking algorithm. By tracking and compensating the large phase error caused by residual frequency offset after frequency offset compensation, the influence of residual frequency offset on the demodulation performance of the system is reduced, and the obtained demodulation performance is basically consistent with the performance under ideal frequency synchronization. The algorithm proposed in this paper is especially suitable for systems with large frequency offset estimation errors.

Abstract：In a wireless signal-energy simultaneous relay network with limited energy at the relay node, the relay node can replenish its energy from the RF signal of the source node. A relay selection method is employed to prolong the lifespan of the relay network. Firstly, the optimization objective is conducted to minimize the additional energy at the energy-constrained relay node while considering the performance constraints of the relay network. This objective is divided into three sub-problems for resolution. A method is proposed to optimize the minimum additional energy needed at the relay node by dynamically adjusting the power separation factor. Secondly, the effectiveness of the optimal power separation factor is verified through simulation. Then, based on the battery energy consumed by the relay node and the remaining energy of the battery, two energy-conscious relay selection methods are proposed: the minimum loss energy strategy and the minimum loss energy ratio strategy. Finally, the simulation results show that the minimum energy loss ratio strategy is better than the minimum energy loss strategy. This approach prolongs the network lifetime and enhances system performance.

Abstract：With the increasing number of weapon space test missions, the demand for rapid deployment and multi-task parallelism of mission software in command centers has become increasingly urgent. This paper designs a centralized control system for command center mission software based on the B/S architecture, achieving integrated management of mission software configuration and monitoring. By using a data transmission mechanism combined with DBus and Kafka, an efficient data interaction link between mission software and the front and back ends of the system is established. Finally, key technologies such as mission software automatic deployment, multi-task parallelism, high-speed data hierarchical processing, and efficient storage of mission data are analyzed in detail.

Abstract：As an important part of the power grid operation, the centralized control station connects the dispatch system and the substation, and the accuracy and effectiveness of its monitoring information is particularly crucial. In order to further improve the audit efficiency of monitoring information in the centralized control station, this article adopts the method of “expert database + improved ant colony algorithm” to achieve prediction and optimization of the content of the monitoring information table in the centralized control station. By constructing the monitoring information prediction and optimization model of centralized control station, on one hand, facing the attributes of information industry, MapReduce analysis mechanism is used to build expert database to realize the monitoring information prediction function; on the other hand, an improved global optimization model of information is constructed based on ant colony algorithm modeling. Through the experimental analysis, the model not only improves the analysis and prediction ability of tedious monitoring information, but also enhances the optimization efficiency of monitoring information in the centralized control scenario of power grid.

Abstract：In response to the increasing demand for higher operating requencies of millimeter-wave RF transceiver front-ends, this paper presents the design of a V-band millimeter-wave RF transceiver front-end for the reception and transmission of RF signals in the V-band. The RF transceiver front-end circuit is complex, which includes receiver circuits, transmitter circuits, frequency source circuits, power processing circuits and control circuits, with the advantage of multifunctionality, high image rejection, low noise figure, and high transmit power. In order to achieve excellent electrical performance, the front-and design incorporates kinds of microstrip circuirs such as V-band microstrip filters, V-band microstrip power dividers, and V-band quarter-wavelength short-circuit lines. The front-end also utilizes V-band MMIC hybrid multifunctional integration technology, making it suitable for use in guidance head radar and communication scenarios with broad application prospects.

Abstract：In the direction of arrival (DOA) estimation, the direction finding accuracy depends on the phase consistency between the array elements in the array, so a millimeter-wave four-element linear array with high phase consistency is designed. The antenna is printed on a single-layer substrate, and coaxial probes are used to differentially feed the top patch. Firstly, the coupled feeding method is used to reduce the coupling between the coaxial feeding ports, so as to reduce the phase fluctuation of each array element in the far field. Secondly, the substrate integrated waveguide (SIW) technique is used to reduce the interactions between the array elements and to improve the phase consistency of the array. The simulation results show that the |Sdd11|<-10 dB bandwidth of the linear array is 22.9~25.1 GHz, the maximum gain and isolation of each element in this working band are more than 6.5 dBi and 16.2 dB, respectively. The phase consistency of this array at 23 GHz and 24 GHz in the E-plane, H-plane and ±45°-plane are within ±10°. The antenna is processed and tested, and the experimental and simulation results are in good agreement.

Abstract：In this paper, a novel inverter parallel strategy based on dynamic compensation sag method is proposed, which solves the problems of traditional parallel inverter sag control strategy, such as frequency drop, unequal distribution of reactive power, inaccurate calculation results of active power and reactive power. The strategy includes using CSOGI-QSG module in the power loop to filter out DC interference. The adaptive frequency feedback strategy is introduced in the traditional active power control loop to compensate the frequency drop. Virtual inductance is introduced into reactive power control loop to improve reactive power distribution, and adaptive voltage compensation strategy is used to improve bus voltage drop. Through MATLAB simulation and experimental platform verification, it is proved that the control strategy can significantly improve the power sharing effect in parallel inverters.

Abstract：The article presents an efficient system for neuromuscular electrical stimulation (NMES). NMES operates by harnessing the electrical excitability of nerve cells to stimulate the nerves that control muscles through pulsed electrical currents, thereby inducing muscle contractions. The system is powered by dry cell batteries, and the voltage regulation and boost circuits employ high-efficiency designs to reduce power consumption. It is centered around the STM32F4 microcontroller, which generates the DAC signals for controlling the stimulation intensity, as well as the control signals for the multiplexing switch. Through a circuit comprising a multiplexing switch, constant current source, and H-bridge, the system produces time-division current stimulation, effectively reducing power consumption and device size.

Abstract：A small, lightweight and strong reliability of T/R module is strongly required for novel airborne satellite communication antennas. This paper proposes a design method for a 2×4 channel Ku-band dual-polarization R module based on a system in package with ball grid array (SIP-BGA) using high temperature cofired ceramic (HTCC) technology, which takes the advantages of the high circuit density and lightweight of multi-layer ceramics and the advantages of small size of BGA package that provides more I/O ports. Firstly, the high-density RF vertical interconnect structures are simulated and optimized by electromagnetic simulation software. Meanwhile, a miniaturized four-way power combiner based on thin film is designed. Channel isolation and heat dissipation of the entire component are then simulated to ensure both the RF performance and engineering feasibility of the component. Finally, a compact and highly integrated 2×4 channel Ku band R module, measuring 13 mm×12.5 mm×2.5 mm in volume and weighing less than 4 g, is successfully developed. Test results confirmed the good performance of the proposed circuit，the result demonstrates that the gain of R module exceeds 23 dB, and the input P-1dB is higher than -5 dBm within the frequency range of 10~12.8 GHz.

Abstract：In response to the power supply requirements of laser gyro, a design scheme for a multi-output module power supply has been proposed. Initially, an overall technical scheme is outlined in accordance with the power supply index requirements. Subsequently, detailed circuit design is conducted with particular emphasis on parameter calculation for the 4 500 V booster circuit. Finally, a structural design scheme is presented. Following prototype verification, the designed component power supply exhibits characteristics such as compact size, lightweight construction and high reliability, offering miniaturized and lightweight solutions tailored to laser gyro applications.