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- 01A last-write-touch prediction scheme used to reduce remote Cache miss latency2015,37(1):14-20(25225)
- 02Study of high-power microwave protection technology based on low-temperature plasma2023,45(6):84-89(25150)
- 03Constant envelope modulation and multiplexing technologies for BDS global navigation signals2017,39(5):6-13(24452)
- 04One-dimensional analysis for performance of ejector with precooling2017,39(3):1-6(22263)
- 05Electromagnetic launch technology2016,38(6):1-5(21920)
- 06Numerical simulation on the aerodynamic performance of hypersonic glide vehicle2012,34(4):22-27(21755)
- 07FlatLFS: a lightweight file system for optimizing the performance of accessing massive small files2013,35(2):120-126(21687)
- 08Designing method of supersonic nozzle with controllable contour2012,34(5):1-4(21644)
- 09Dimension reduction method of true proportional navigation guidance law2012,34(3):1-5(21273)
- 10A survey of gliding guidance methods for hypersonic vehicles2017,39(3):15-22(21134)
- 01Electromagnetic launch technology2016,38(6):1-5(17834)
- 02One-dimensional analysis for performance of ejector with precooling2017,39(3):1-6(16295)
- 03A last-write-touch prediction scheme used to reduce remote Cache miss latency2015,37(1):14-20(15076)
- 04A survey of gliding guidance methods for hypersonic vehicles2017,39(3):15-22(15018)
- 05Research on Radar Target Discrimination in the Missile Defense System2004,26(4):6-9(14620)
- 06Evaluating matrix multiplication-based convolution algorithm on multi-core digital signal processors2023,45(1):86-94(14170)
- 07Constant envelope modulation and multiplexing technologies for BDS global navigation signals2017,39(5):6-13(13886)
- 08FlatLFS: a lightweight file system for optimizing the performance of accessing massive small files2013,35(2):120-126(12892)
- 09Learning to rank based on user relevance feedback2013,35(2):132-136(12746)
- 10Designing method of supersonic nozzle with controllable contour2012,34(5):1-4(12670)
- 01Comments on Multisensor Information Fusion1994,16(3):1-11
- 02An Overview of Typical Methods for Human Reliability Analysis2007,29(2):101-107
- 03A New Method of Measure the Pitching and Yaw of the Axes Symmetry Object through the Optical Image2000,22(2):15-19
- 04Study on SINS Alignment Algorithm with InertialFrame for Swaying Bases2007,29(5):95-99
- 05Electromagnetic launch technology2016,38(6):1-5
- 06A Study on the Evaluation Technology of theAttack Effect of Computer Networks2002,24(5):24-28
- 07An Improved Fitting Algorithm Design of BroadcastEphemeris for GEO Satellite2007,29(5):18-22
- 08Towards Technology of Virtual Prototyping in Weapon Systems1999,21(1):58-61 ,57
- 09OLDA-based method for online topic evolution in network public opinion analysis2012,34(1):150-154
- 10The Study of the Methods of the Linear Combination Weighting forMultiple Attribute Decision-making2005,27(4):121-124
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Multi-view heterogeneous graph embedding method with hierarchical projection
HAO Yunzhi; ZHENG Tongya; WANG Xingen; WANG Xinyu; SONG Mingli; CHEN Chun; ZHOU Chunyandoi:10.11887/j.cn.202503001 2025,47(3):1-9Abstract:A self-supervised graph embedding approach based on hierarchical projection network called MeghenNet(multi-view heterogeneous graph projection network) was introduced to learn low-dimensional representations from multiple views. The concept of multiple-view heterogeneous graphs was defined to explicitly allow the model to simultaneously collect information from multiple data sources for modeling heterogeneous graphs. A hierarchical attention projection that involves a cross-relation projection to extract semantics information within each view was employed, followed by a cross-view projection to aggregate contextual information from other views. The mutual information loss function between each view embedding and the global embedding was computed to ensure the information consistency across views. Experimental results on several real-world datasets demonstrate that the proposed method outperforms state-of-the-art approaches when handling multi-view heterogeneous graphs.
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Multi-round social advertising sequence influence maximization
FU Bingyang; ZHANG Longjiao; SHI Qihao; WANG Zeyu; WANG Can; SONG Minglidoi:10.11887/j.cn.202503002 2025,47(3):10-20Abstract:Existing research on sequential ad recommendations mainly focuses on user preferences for advertisement, insufficiently considering positive relationships between ads. Starting from the associations between ads, incorporates both ad networks and user networks into consideration, a multi-round social advertising influence maximization model based on triggering model was constructed. An ad edge based greedy strategy based on multi-round reverse influence sampling was proposed to enhance platform revenue, with theoretical proofs of its strict lower bound guarantee. Experiments show that compared to existing optimal methods, the proposed method increases the average ad propagation influence revenue by 35%, significantly enhancing ad recommendation effectiveness, providing a new solution for ad sequence recommendations.
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Adaptive strategy for boosting node costs minimization in multi-round influence
ZHANG Longjiao; FU Bingyang; SHI Qihao; SONG Mingli; WANG Can; ZHANG Yuedoi:10.11887/j.cn.202503003 2025,47(3):21-31Abstract:In order to reduce the marketing costs of merchants promoting products over multiple rounds on social networks,this study made a exploration on the selection of boosting nodes during the process of multi-round influence propagation. Based on the model of multi-round influence boosting propagation mode, an adaptive strategy for choosing boosting nodes was designed. Given known seed nodes, this strategy could find an efficient method to minimize the number of marketing rounds needed to reach a certain threshold of social influence, with nearly linear algorithmic complexity. Experimental results show that compared to existing heuristic algorithms and non-adaptive algorithms, the designed adaptive strategy can reduce the promotion rounds required to reach a specified threshold by 7.3%~18.3%, effectively reducing the promotion cost.
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Anomaly detection algorithm based on graph neural network formissing multivariate time series
GAO Yang; WANG Xinyu; HE Da; SONG Mingli; ZHOU Chunyandoi:10.11887/j.cn.202503004 2025,47(3):32-40Abstract:Addressing the issue of anomaly detection on missing multivariate time series data in real IoT(Internet of things) environments, a novel method on multivariate time series anomaly detection algorithm intergrated with graph embedding of missing information was proposed. Using a joint learning framework of pre-interpolation and anomaly detection task fusion, a GNN(graph neural network) pre-interpolation module based on time series Gaussian kernel function was designed to realize the joint optimization of pre-interpolation and anomaly detection task. A graph structure learning method for embedding missing information in time series data was proposed, using graph attention mechanism to fuse missing information masking matrix and spatiotemporal feature vectors, effectively modeling the potential connections of missing data distribution in multivariate time series. The performance of the algorithm was verified on real IoT sensor datasets. Experimental results prove that the proposed method significantly outperform the mainstream two-stage methods on the task of missing multivariate time series anomaly detection. The comparative experiment of the pre-interpolation module fully prove the effectiveness of the GNN pre-interpolation layer based on the Gaussian kernel function.
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S-Cypher: temporal query language on the temporal propertygraph model
JIANG Tiantian; CHEN Guanlin; SONG Mingli; HANG Haitian; WANG Haoyedoi:10.11887/j.cn.202503005 2025,47(3):41-50Abstract:Traditional graph data models lack explicit temporal dimension representation, which may lead to complex temporal queries and potential loss of temporal information integrity. To address this limitation, a temporal property graph data model and a corresponding temporal graph query language called S-Cypher were proposed. The temporal graph data model represents utilized object nodes to represent entities, and introduced property nodes and value nodes to represent entity properties. Valid time was recorded on nodes and edges between object nodes to express temporal information, and the recorded valid time adhered a set of temporal constraints. S-Cypher served as a temporal extension to Cypher, ensured compatibility while providing a concise and comprehensive temporal graph query syntax, including temporal data types, temporal graph pattern matching, time window constraints, and temporal paths. An implementation scheme for executing S-Cypher temporal graph queries on Neo4j was also provided. Experimental results demonstrate that the query time of S-Cypher is on average 1.29 times that of Cypher, indicating that S-Cypher can effectively manage temporal graph data in Neo4j with satisfactory performance.
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ZHOU Shou; YANG Hao; ZHANG Shifeng; BAI Xibin; WANG Fengdoi:10.11887/j.cn.202503006 2025,47(3):51-63
Abstract:To address the aerodynamic load reduction requirement when the launch vehicle flying in high wind zone during the ascending phase, an intelligent attitude control method with adaptive learning rate was proposed. Taking a certain type of launch vehicle as the research object, the dynamic model in the pitch plane was established. A deep reinforcement learning framework suitable for flight control of the launch vehicle during the ascending phase was developed based on soft actor-critic, and a reward function that comprehensively considers attitude tacking accuracy and stability, and load reduction effectiveness was designed. On this basis, an adaptive iteration of learning rate was implemented based on a step-size learning rate scheduler to quickly improve the convergence velocity and find the optimal solution of the controller. Besides, an early stopping mechanism which can automatically end the training process was designed to enhance the training efficiency. Simulations show that the proposed method can effectively achieve load reduction of the launch vehicle while ensuring attitude tracking accuracy and stability. Additionally, it has strong robustness and adaptability to random wind disturbance.
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Port-Hamiltonian control method for spacecraft formationtrajectory tracking
LIU Jun; BAO Suyan; CHEN Qifeng; HAO Wenkangdoi:10.11887/j.cn.202503007 2025,47(3):64-72Abstract:For the time-varying trajectory tracking control problem of the relative motion configuration of spacecraft formation, a distributed coordinated control method was designed based on the PH(port-Hamiltonian) model and generalized canonical transformation, using IDA-PBC(interconnection and damping assignment passivity-based control) algorithm.Through the PH modeling and generalized canonical transformation of the linear dynamics of spacecraft formation, the trajectory tracking error PH system was obtained. Under the assumption that the topological structure is connected and fixed, a distributed coordinated control method for formation trajectory tracking considering relative errors between neighboring spacecraft was derived based on IDA-PBC algorithm and using the PH model of relative motion errors. Numerical simulation verifies the effectiveness of the control method. The results show that the PH method can complete the trajectory tracking control of spacecraft formation, which provides a new effective method for the distributed coordinated control of spacecraft formation.
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Stability analysis and simulation of transverse mode-coupledself-excited vibration of rocket
SHANG Lin; ZHANG Hairui; SUN Xiangchun; SONG Zhiguo; GAO Feng; SUN Dongweidoi:10.11887/j.cn.202503008 2025,47(3):73-80Abstract:In order to intensive study the self-excited vibration phenomenon of rocket in the flight test, a two-degree-of-freedom linear system based on the coupling of elastic force and aerodynamic force was established, and the working mechanism of self-excited vibration caused by the displacement feedback between pitch and yaw degrees of freedom was explained. By analyzing the stability of the motion equation of the system, the criterion of losing asymptotic stability of equilibrium point and generating self-excited vibration was obtained. The time history curves of pitch and yaw angular displacement were obtained by solving ordinary differential equations with numerical method. The comparison between the simulation results and the measured data shows that the sudden amplification of vibration divergence phenomenon during the flight of rocket is the mode-coupling self-excited vibration caused by displacement feedback. In addition, the analysis results show that the beat or constant frequency vibration usually occurs before and after the self-excited vibration.
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Data-driven effectiveness evaluation modeling and simulation ofanti-missile equipment system
ZHAO Haiyan; ZHOU Feng; YANG Wenjing; ZHAO Jing; WANG Xiaoshuangdoi:10.11887/j.cn.202503009 2025,47(3):81-89Abstract:Aiming at the problems that traditional effectiveness evaluation methods can not reflect the evolution, emergence and adaptability of the anti-missile equipment system, a data-driven effectiveness evaluation method of anti-missile equipment system was proposed. Based on the analysis of the characteristics of anti-missile equipment system and the shortage of traditional effectiveness evaluation method. the Bayes optimization algorithm was used to optimize the convolutional neural network hyperparameters, and the efficiency evaluation model ofBayes-CNN(Bayes convolutional neural network) was constructed. The flow and steps of Bayes-CNN system effectiveness evaluation algorithm were studied, and a set of completed efficiency evaluation algorithm was formed. Designed and validated the simulation experiment, input a lot of test data to Bayes-CNN model for training and learning, so as to obtain the simulation prediction of the effectiveness of anti-missile equipment system. The experimental results show that the error between the actual and expected output is very small, and the non-linear fitting effect is great so that it had a high degree of feasibility and reliability.
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Analysis on the thrust characteristics of flexible deformableself-pressurized water rocket
LIU Longbin; DING Shaozhe; ZHANG Shifengdoi:10.11887/j.cn.202503010 2025,47(3):90-97Abstract:Since the thrust characteristics directly affect the launch speed, altitude and flight range of the water rocket, in order to improve the thrust performance of the water rocket, a flexible and deformable self-pressurized elastic air pressure cabin scheme was designed on the basis of the existing fixed volume pressure chamber, and its performance was evaluated. With Bernoulli′s theorem and deformation coordination relation, a coupled model of internal pressure, nozzle velocity and thrust of water rocket was established. Moreover, the influence of different initial states (water volume ratio and inflation air pressure) on water rocket thrust was also studied with the numerical calculation method, and the thrust difference was compared and analyzed further between the fixed air pressure cabin and the elastic air pressure cabin under the same initial conditions. The research results show that the improved flexible and deformable self-pressurized elastic air pressure cabin can effectively increase the water jet velocity during the launch, and the thrust generated by the water rocket in the same initial state increases significantly by 46.95%. The designed scheme can provide important reference for improving the flight performance of water rockets and the optimal design of new flexible deformation water rocket scheme.
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Anti-off-target control of target tracking for small video satellitebased on field of view zoning
FAN Caizhi; ZHONG Zikai; WANG Mengmeng; YANG Yuenengdoi:10.11887/j.cn.202503011 2025,47(3):98-108Abstract:An anti-off-target control method for small video satellite target tracking based on visual field zoning was proposed to address the problem of large initial relative attitude deviation and angular velocity between small video satellite and observation targets, which can easily deviate from the camera field of view and cause off target. In this method, the rectangular imaging field of the satellite-carried camera was divided into inner and outer parts according to the tangent circle. The tracking controller of the inner and outer parts of the tangent circle was designed based on the potential function and the quasi-Euler rotation method respectively. By using the Barbalat′s lemma, the asymptotic stability of control laws in both regions was proved, and it was also proved by theory that the potential function controller can ensure that target would not leave the inscribed circle of visual field after entering it. Through controller comparison and simulation, the results show that the quasi-Euler rotation method has a stronger ability to suppress target deviation from the field of view compared with PD control. Compared with the full quasi-Euler rotation method, the field of view partition control combining the quasi-Euler rotation method and potential function method can effectively achieve anti-off-target control for faster maneuvering targets, thereby achieving continuous tracking and observation.
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Application of deep reinforcement learning tomissile trajectory planning
ZHANG Jing; LI Tong; LI Jianfeng; TAN Liguo; ZHANG Shifengdoi:10.11887/j.cn.202503012 2025,47(3):109-118Abstract:Aiming for missile trajectory planning, an applicable Gym training evironment was established. An intelligent agent network structure and its reward functions were designed based on twin delayed deep deterministic policy gradient framework and according to terminal and process constraints, forming an intelligent trajectory planning method. Through deploying the algorithm on an embedded GPU computing acceleration platform, bias simulation and comparison tests were conducted. The results show that the method can reach the requirements of missile capability and process constraints under different range tasks and effectively overcome environmental disturbances with adaptability to distinct object models. Meanwhile, the method has an extremely fast calculation speed, far surpassing the popular GPOPS-Ⅱ toolbox. The computation time for single step trajectory command is less than a millisecond so that it can support real-time online trajectory generation, which provides an effective implementation path and technical support for engineering applications.
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Bayesian estimation of missile hit accuracy for Dirichlet distribution
LIU Haobang; HU Tao; CHEN Tong; LIANG Junpeng; LI Mingguidoi:10.11887/j.cn.202503013 2025,47(3):119-127Abstract:Based on the differential impact of the spatial distribution of impact points on target damage effectiveness, the probability distribution model of missile hitting different important areas of target was constructed to realize expansion of the traditional hit accuracy concept. Aimed at the reality of actual missile hitting targets with complex process, high cost and low frequency, Bayesian method was used to fuse multi-source information, and missile hit accuracy was estimated on the basis of the idea of region division, distribution determination, prior fusion and posterior solution. The Dirichlet distribution was selected as the prior distribution of hit accuracy parameters, the D-S(Dempster-Shafer) evidence theory was used to fuse the prior information and the posterior distribution of accuracy parameters was solved by MCMC(Markov chain Monte Carlo) method. Example results show that this method can describe the probability of missile hitting different important areas of the target in detail, and scientifically integrate multiple types of prior information about hit accuracy, which provides theoretical references for missile hit accuracy estimation methods and test schemes optimization.
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Online map generation method from remote sensing images viasemi-supervised adversarial learning
WU Jiangjiang; SONG Jieqiong; TIAN Jilong; CHEN Hao; SHA Zhichao; LI Jun; PENG Shuang; DU Chundoi:10.11887/j.cn.202503014 2025,47(3):128-140Abstract:To address the resource consumption issue of obtaining precise paired samples in existing fully supervised learning, while also considering the quality of network map generation, a novel semi-supervised online map generation model based on generative adversarial networks was proposed, which aimed to realize the direct generation of intelligent remote sensing images into network maps by using only a few precisely matched data and a large amount of unpaired data. In addition, a semi-supervised learning strategy based on transformation consistency regularization and sample enhanced consistency was designed, which overcomed the inconsistency problem caused by imprecise paired data and derives better generalization performance of the model. Adequate comparison experiments were conducted on different map datasets. The generated online maps outperform the competing methods on the quantitative metrics and visual quality, which validate the effectiveness and speed of semi-supervised network map generation methods.
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LIU Jiufu; Elishahidi S.B.Mvungi; WANG Hengyu; XIE Hui; LIU Xiangwu; WANG Zhishengdoi:10.11887/j.cn.202503015 2025,47(3):141-150
Abstract:Aiming at the problems of large estimation error and poor anti-interference ability in state estimation and parameter learning of time-varying nonlinear systems, a batch state estimation and parameter learning method for accurate sparse Gaussian variational inference for nonlinear systems was proposed. A loss function was proposed based on Gaussian variational reasoning, and the state estimation problem was transformed into an approximation problem to the true posterior, and parameters that need to be learned were introduced. The parameters of the state probability distribution were iteratively updated using the Gauss-Newton optimizer method, and a complete state estimation iterative scheme was obtained by using Steins lemma, the sparsity of the covariance matrix and the Gaussian volume method. The noise parameters of the measurement model were learned through expectation maximization, and the inverse Wishart prior was introduced to reduce the influence of measurement noise and outliers on parameter learning and state estimation results. The simulation experiment was carried out on the UAV simulation model, and the UAV trajectory can be accurately estimated without adding the UAV movement and the real value of the measurement noise, and the impact of measurement noise and measurement outliers on trajectory estimation accuracy is effectively suppressed.
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SUN Xiwen; HE Xiaoxing; LU Tieding; WANG Haicheng; ZHANG Yuntao; CHEN Hongkangdoi:10.11887/j.cn.202503016 2025,47(3):151-161
Abstract:In order to improve the prediction accuracy of the displacement and deformation of reservoir, the displacement and deformation of non-linear and non-stationary reservoir was predicted by changing the decomposition method of VMD(variational mode decomposition) and integrating VMD and long short-term memory. A MVMDLSTM (mixed variational mode decomposition long short-term memory) model prediction method was proposed. The reliability of the new method was verified with multi-source datasets for different single prediction models and combined models.The experimental results show that the MVMDLSTM model can effectively attenuate the bias of the single prediction model and the empirical mode decomposition combination model estimation, and the prediction accuracy of the MVMDLSTM model is better, which provides an effective data decision-making for the stable monitoring of the prediction and warning of the reservoirs slow sliding and creeping and other small deformations.
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Few-shot space target recognition method based on adaptive crossfusion of local features
XIE Wenxi; REN Xiaoyuan; WANG Canyu; JIANG Libing; WANG Zhuangdoi:10.11887/j.cn.202503017 2025,47(3):162-172Abstract:In the few-shot recognition scenario of space targets observed at low frequency, the drastic changes in the image representation of space targets in different poses challenges to the extraction of discriminative features and the correlation of features between images. To address these issues, the few-shot space target recognition method based on adaptive cross fusion of local features was proposed. Based on the existing few-shot learning framework, the feature cross fusion module based on self-attention and cross-attention was used to adaptively learn the correlation between local features, improve the discriminant and robustness of feature in different poses, effectively explore the similarity between the support set and the query set, and improve the accuracy of feature association with representation differences. Meanwhile, the sample label weight based on neighborhood density was employed into the loss function to solve the learning bias problem of the network model caused by unbalanced space target datasets. Through the verification on different datasets, the proposed method is proved to achieve higher recognition accuracy.
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Spatial-temporal encoder-decoder model for traffic flow prediction
ZHANG Jin; PI Yu; SUN Cheng; WEI Yehua; YU Fei; YAO Weidoi:10.11887/j.cn.202503018 2025,47(3):173-182Abstract:In order to solve the problem that many traffic flow prediction research methods are unable to comprehensively explore the dynamic hidden correlations in traffic data, the dynamic spatio-temporal variation characteristics were studied and an encoder-decoder-based traffic prediction model was proposed. In the model, both encoder and decoder mainly consisted of multi-head spatio-temporal attention mechanism modules, and a connection attention mechanism was added in between to analyze the spatio-temporal correlations of the road network. The model also used a dynamic embedding module consisting of a combination of both spatio-temporal embedding coding and adaptive graph convolution to analyze the dynamic and static information of nodes. Experiments on two real datasets demonstrate that the spatio-temporal model outperform other models for long-and short-term traffic prediction. Thus, the spatio-temporal encoder-decoder model can effectively handle complex spatio-temporal sequences and improve the traffic flow prediction accuracy.
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JIANG Runxiang; YANG Pengcheng; CHEN Xingang; SUN Zhaolong; ZHANG Jiaweidoi:10.11887/j.cn.202503019 2025,47(3):183-193
Abstract:Based on the impressed current cathodic protection system and its current output mode, in order to achieve the purpose of taking into account the underwater electric field stealth on the basis of hull anticorrosion function, the “integrated” method was adopted to replace the traditional “zonal” anodic current control method, and the current adjustment strategy based on underwater electric field and reference potential measurement information was proposed. The main idea is to transform the cathodic protection current optimization problem with respect to natural corrosion state into the minimization problem of the electric field increment under water with respect to electric field stealth. The effectiveness of the proposed current optimization control method was verified through the simulation calculation and shrinkage ratio model test.The results show that when the peak-peak potential is taken as the evaluation criterion and the whole ships electrical potential meets the anticorrosion requirements, the peak-peak potential of the 1.0B depth measurement plane can be reduced by more than 20% compared with that in the natural corrosion state of the ship. Moreover, the proposed method can quickly calculate the output current of each anode required by the impressed current cathodic protection system for both electric field stealth and hull anticorrosion.
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WU Dong; ZHANG Dapeng; YU Baoshi; LEI Yongjundoi:10.11887/j.cn.202503020 2025,47(3):194-202
Abstract:FG-CNTRC demonstrate significant engineering value in advanced equipment manufacturing due to their exceptional mechanical properties and designable characteristics. The critical problem of nano-reinforcement scale effects on mechanical response mechanisms was addressed through integration of nonlocal theory with the Eshelby-Mori-Tanaka method, resulting in the development of a nano-to-macro multiscale constitutive model. Based on mathematical characterization of spatially gradient-distributed CNTs(carbon nanotubes), the thermo-mechanical coupling effects from environmental temperature and visco-Pasternak substrates were incorporated. Vibration governing equations for nanocomposite structures were established through Kirchhoff plate theory and energy variational principles, with characteristic frequencies of simply-supported plates subsequently solved. The influence mechanisms of CNTs′ characteristic parameters and thermo-mechanical coupling effects on the natural frequency of structural systems was analyzed. Results demonstrate that the constitutive model effectively characterizes the stiffness-weakening effect induced by CNTs′ scale effects. This effect simultaneously suppresses the stiffness enhancement from substrate elastic parameters while significantly increasing sensitivity to temperature variations. Moreover, the critical volume fraction for structural reciprocating vibration shows positive correlation with substrate damping parameters.
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Markov chain reliability optimization method for augmented spacesubset simulation
YUAN Xiukai; CHEN Jingqiang; ZHANG Jingyu; TAN Zhiyong; DONG Yiweidoi:10.11887/j.cn.202503021 2025,47(3):203-212Abstract:Aiming at the reliability-based design optimization problem of complex structural systems, an efficient optimization method based on subset simulation and Markov chain simulation in augmented space was proposed. Considering the reliability-based design optimization problem in which the design parameters were distributed parameters of basic random variables, the target failure probability was transformed into a posterior density function of the design parameters in the augmented space, obtained a set of initial failure samples in the whole design domain through subset simulation, and then adopted the efficient Markov chain simulation to generate more failure samples in the gradually smaller design domain under the sequential approximate optimization framework. The target posterior density function was estimated and updated, and the decoupling approach was used to solve the transformed optimization problem to finally obtain the optimum. Compared with the existing methods, the proposed method requires only one reliability analysis and can avoid local optimal solution, resulting in the global optimal solution. Examples were given to illustrate the applicability of the proposed method in engineering and its superiority in the accuracy and efficiency of analysis and calculation.
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Research on the influences of motion characteristics of rodjet under water
CHEN Xing; LU Yonggang; ZHANG Cunwangdoi:10.11887/j.cn.202503022 2025,47(3):213-221Abstract:To thoroughly investigate the underwater motion characteristics of rod jets, the effects of liner thickness, material, and charge length-to-diameter ratio on the underwater motion characteristics of rod jets were systematically explored by combining experimental methods with numerical simulations. The results show that after entering the water, the rod jet undergoes head upsetting and experiences mass erosion effects. The effective length of the jet initially increases and then decreases during its motion, while its average velocity decays exponentially. Further analysis indicates that increasing the liner thickness and charge length-to-diameter ratio can significantly enhance the jets resistance to erosion and its ability to maintain velocity. The optimal range for liner thickness is 0.036Dk to 0.055Dk. When the charge length-to-diameter ratio exceeds 1.25, the influence of charge structure on the underwater motion characteristics of the rod-shaped jet gradually diminishes. Additionally, material density has a significant impact on the velocity decay law of the rod jets during underwater penetration: the higher the density, the stronger the jets ability to maintain velocity; when material densities are similar, the velocity decay laws of the jets tend to be consistent. The study also demonstrates that liners made of copper, tantalum, and tungsten are all suitable for underwater shaped-charge warheads. This research provides important theoretical support and reference for the design optimization of underwater shaped-charge warheads.
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ZHAI Mingda; LIU Xin; LI Xiaolong; LONG Zhiqiangdoi:10.11887/j.cn.202503023 2025,47(3):222-231
Abstract:In order to comprehensively and scientifically evaluate the performance of suspension system in high-speed maglev train, a comprehensive evaluation method was designed based on fuzzy analytic hierarchy process. According to the operation law and capability characteristics of suspension system, an evaluation index system was proposed to characterize the performance of suspension system. The fuzzy analytic hierarchy process was used to determine the weight of the performance index of the suspension system, and a multi-layer fuzzy comprehensive evaluation model of the suspension system was established based on exponential scaling method and trapezoidal distribution method. A comprehensive performance evaluation system of suspension system based on operation data was developed, and the dynamic operation test was carried out on the Shanghai 1.5 km test line by using a 600 km/h high-speed maglev train. Results show that the comprehensive evaluation method of suspension system based on fuzzy analytic hierarchy process can comprehensively evaluate the performance of suspension system and realize the quantification and visualization of the evaluation results.
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Theoretical and simulation analysis of the pulsed LDV
CHEN Lanjian; ZHOU Jian; JIN Shilongdoi:10.11887/j.cn.202503024 2025,47(3):232-238Abstract:Continuous-wave LDV (laser Doppler velocimeters) are limited in low-altitude velocity measurement due to factors such as the low power of continuous-wave lasers and optical system diffraction. By introducing the concept of "virtual distance" to expand the Feuilleté model, the time-domain echo signal model for pulsed LDV had been established. Simulation results indicate that pulsed LDV can perform velocity measurement through the accumulation of hard target echo signals. Pulsed LDV can also utilize longer laser pulse widths for detection without restricted by spatial resolution, the feasibility of high-precision velocity measurement using long pulses with pulsed LDV is verifies, laying a theoretical foundation for future experimental validation of the pulsed LDV. Pulsed LDV is capable of detecting echo signals scattered from targets at 5 km and beyond, significantly extending the working distance range of LDV. This makes LDV applicable in integrated navigation of low-altitude aircrafts and planetary surface landing navigation for spacecrafts, and other scenarios that require long-distance high-precision velocity measurement.
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Detecting domain-specific social events via temporal evolution feature mining
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Reinforcement Learning using Exploring Latent Variable based on Meta-Learning
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Group false-target jamming method with stable position against linear frequency modulation radars
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Research on online anti-interference strategy for radar frequency agility based on Thompson Sampling
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Vertical damping of the superconducting electrodynamic suspension system and its improving method
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Advance on calculation methods of fluid-solid coupled heat transfer with regenerative cooling system
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Online calibration algorithm of Vehicle-mounted SINS/1D-LDV Lever-Arm error
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Low-power high-performance fiber-coupled acousto-optic modulator based on novel chalcogenide glass
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Development and application of high speed acquisition system based on gated PMT and LIBS technology
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Pulse Compression Methods for Ultrafast Two-Dimensional Electronic Spectroscopy
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Noise reduction method of high frequency signal in dynamic gravimetry
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Research progress and prospect of atomic interference gyroscope
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Real time gravity measurement filtering of laser gyro IMU fitted by neural network
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Lightweight Photovoltaic Module Defect Detection with YOLOv8-DM
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Dual-path neural network learning method for free-return orbit integrating dynamic characteristics
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Partial-CLEAN Integration Algorithm for Aeroacoustics Source Region
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Asymmetric Actor-Critic Reinforcement Learning Method for Long-Sequence Autonomous Manipulation
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Convolutional Neural Network Mixed-Precision Quantization Considering Layer Sensitivity
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Combinatorial enumeration and time-interval contrastive learning for sequential recommendation
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Space Mission Design Industrial Software ATK 3.0: Development Progress and Technical Breakthroughs
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Intention recognition for forced motion of the space non-cooperative target based on BiGRU network
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Mission planning and independent software design of spacecraft rendezvous and proximity operations
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Deep clustering algorithm with fusion selective clustering ensemble
The Priority Publication Column showcases the articles that have been determined to be accepted by this journal after peer review, and the editing and proofreading process has not been completed before the formal publication.
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Time-coordinated re-entry trajectory planning for hypersonic glide vehicle cluster
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Optimized design of electromagnetic structural lay-ups for laminated structural composites
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Approximate optimization method for constraints dynamic relaxation of black box model
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Analysis of the framework and key technologies of solid rocket motor digital twin system
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Review of green shop scheduling problem
GAO Liang; YU Fei; LU ChaoGAO Liang; YU Fei; LU Chao.Review of green shop scheduling problem[J].国防科技大学学报,2025,47(2):1-23AbstractWith the vigorous development of the manufacturing industry, the problems such as environmental pollution an resource shortage have gradually become prominent, seriously affecting the sustainable development of society. Therefore, the transformation of manufacturing energy saving and carbon reduction is an inevitable requirement for global green and lowcarbon development. As one of the most important parts of the manufacturing systems, production scheduling can realize efficient and green operation of the manufacturing systems through the reasonable allocation of resources. Under the context of green manufacturing, the research of green shop scheduling problem has become a hot spot in the field of production scheduling. Therefore, a systematic review of the existing research since 2018 from the aspects of the green parallel machine scheduling problem, the green flow shop scheduling problem, the green job shop scheduling problem, the green flexible job shop scheduling problem, and the green distributed shop scheduling problem was conducted, the shortcomings of the existing research was summed up, and the direction of future research was pointed out.
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Progress and development trend of composite solid propellant constitutive model research
XU Yihang; LI Daokui; ZHOU ShimingXU Yihang; LI Daokui; ZHOU Shiming.Progress and development trend of composite solid propellant constitutive model research[J].国防科技大学学报,2025,47(1):1-22AbstractAs an important energy source of solid rocket motors, the mechanical properties of composite solid propellants have always been the focus of attention in the engineering field. The macroscopic constitutive model and the fine-scale mechanical model in the characterisation of propellant mechanical properties was focused on. The development of the two types of models was systematically sorted out. The differences between the models were clarified. The applicable conditions of various models were pointed out. The difficulties and challenges of macro and fine mechanical models in the characterisation of propellant mechanical properties at the present stage were analysed. The proposal of mechanical models represented by cross-scale mechanical models will help to solve the problem of propellant mechanical property characterisation. The key in the future modelling of propellant mechanical characterization is the experimental research under complex conditions, focusing on the development of high precision and high performance multiscale numerical computation methods, as well as the integration of data-driven technology represented by artificial intelligence technology into model innovation.
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Review and prospect of emitter manufacturing technology for ionic liquid electrospray thruster
LI Xiaokang; GUO Dawei; WU Jianjun; YANG Yuntian; CHE BixuanLI Xiaokang; GUO Dawei; WU Jianjun; YANG Yuntian; CHE Bixuan.Review and prospect of emitter manufacturing technology for ionic liquid electrospray thruster[J].国防科技大学学报,2025,47(1):67-82AbstractILET(ionic liquid electrospray thruster), one of the electrostatic micro-thrusters, has recently become a hot topic for researchers. The emitter is the core component that significantly affects the thruster performance, so its manufacturing is considered as one of the key technologies for the ILET development. Combined with the operating principle and the development history of ILET, the characteristics of propellant transport and manufacturing requirements for all three types of emitters, namely capillary, externally-fed and porous emitters, were analyzed. Based on this, the typical manufacturing materials and related manufacturing technologies were reviewed, while the advantages and disadvantages of different manufacturing technologies such as ion etching were summarized and remarked. For the proven manufacturing method of ultrafast laser ablation based on porous material, the development suggestions including emitter design, novel material fabrication, and study on laser-matter interaction mechanism were given.
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Review of key technologies for autonomous homing of parafoil systems
SUN Qinglin; YANG Jinshan; SUN Hao; CHEN ZengqiangSUN Qinglin; YANG Jinshan; SUN Hao; CHEN Zengqiang.Review of key technologies for autonomous homing of parafoil systems[J].国防科技大学学报,2024,46(4):1-15AbstractIn order to explore the key technologies of parafoil systems, including modeling, trajectory planning, and trajectory tracking control, to support their autonomous homing in wide application prospects in large-scale equipment airdrop replenishment, carrier rocket booster recovery, and natural disaster rescue applications. Through research on the development of parafoil systems both domestically and internationally, a comparative analysis and summary of the basic principles, commonly used methods, and cutting-edge technologies of the three key technologies were conducted, with a focus on the flexible modeling technology of parafoil systems in complex environments, trajectory planning technology in obstacle spaces, and trajectory tracking technology based on intelligent control strategies. A summary and outlook were made on the future development trends of key technologies for autonomous homing of parafoil systems, which can help researchers gain a comprehensive understanding of the research progress and development trends in autonomous homing of parafoil systems, and provide inspiration and reference value for further research in this area.
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Survey on dynamics and control problem research in spacecraft orbital pursuit-evasion game
ZHU Yanwei; ZHANG Chengming; YANG Fuyunxiang; YANG LepingZHU Yanwei; ZHANG Chengming; YANG Fuyunxiang; YANG Leping.Survey on dynamics and control problem research in spacecraft orbital pursuit-evasion game[J].国防科技大学学报,2024,46(3):1-11AbstractWith the rapid development of spacecraft rendezvous and proximity operation technology, the problem of orbital pursuit-evasion has gradually become a research hotspot in the aerospace field. From the perspective of dynamics and control, the research status of spacecraft orbital pursuit-evasion was reviewed. General form of the orbital pursuit-evasion problem model based on quantitative differential games was given, and various types of orbital pursuit-evasion problems were systematically sorted out. For the solution of pursuit and escape strategies, the advantages and disadvantages of various methods were analyzed for closed-loop strategy and open-loop strategy. Focusing on the combination of artificial intelligence algorithm and orbital pursuit and escape problem, the research status of orbital pursuit and escape strategy based on deep neural network and reinforcement learning was expounded. Regarding future prospects, development directions has been proposed, including the pursuit-evasion game situation analysis, the multi-spacecraft game control, the game dynamics and control under three-body problem.
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Analysis of the current research on the flying-wing aircraft
CHEN Qingyang; XIN Hongbo; WANG Peng; ZHU Bingjie; WANG Yujie; LU YafeiCHEN Qingyang; XIN Hongbo; WANG Peng; ZHU Bingjie; WANG Yujie; LU Yafei.Analysis of the current research on the flying-wing aircraft[J].国防科技大学学报,2024,46(3):39-58AbstractThe development trajectory of the flying-wing aircraft was sorted out, encompassing the early evolutionary history to the current state of research, along with contemplation and forecasts regarding future directions. Meanwhile, several key control challenges associated with flying-wing aircraft were discussed, including attitude control in a wide-speed domain under nonlinear conditions, high-precision autonomous take off and landing control under multiple effect coupling, robust control issues with approximate aerodynamic models and under strong disturbances, as well as control allocation problems arising from multi-surface redundancy. Moreover, the discussion on flow control issues that were currently a focal point in flying-wing aircraft research were discussed in depth. The following research trend of active flow control technology was expounded.
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Current status and trends of drag-free technology for space-based gravitational wave detection
ZHANG Jinxiu; TAO Wenjian; LIAN Xiaobin; WANG Jihe; MENG Yunhe; LIU YuanZHANG Jinxiu; TAO Wenjian; LIAN Xiaobin; WANG Jihe; MENG Yunhe; LIU Yuan.Current status and trends of drag-free technology for space-based gravitational wave detection[J].国防科技大学学报,2024,46(2):1-17AbstractThe drag-free control of the spacecraft is one of the key technologies to realize the ultra-static and ultra-stable operation of science platform for gravitational wave space detection. At present, the dynamics and control of the spacecraft system have been studied deeply by various research institutions at domestic and overseas, and different detection tasks have been proposed according to the requirements of different detection frequency bands. The design and control of spacecraft formation were introduced and analyzed in detail according to the exploration mission, and the principles and theoretical methods of drag-free and attitude control, high-precision inertial sensors and actuators involved were deeply dissected. The overall situation of demonstration and verification of drag-free spacecraft in orbit for space-based gravitational wave detection was detailed and analyzed. On this basis, the key problems required to be solved in the research of follow-up related were presented, and the research hotspots and trends in the methods of future dynamics and control of drag-free spacecraft systems were also pointed out.
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Reasearch progress and prospects of deep learning for visual speech generation
LIU Li; SUI Jinping; DING Ding; ZHAO Lingjun; KUANG Gangyao; SHENG ChangchongLIU Li; SUI Jinping; DING Ding; ZHAO Lingjun; KUANG Gangyao; SHENG Changchong.Reasearch progress and prospects of deep learning for visual speech generation[J].国防科技大学学报,2024,46(2):123-138AbstractIn order to further advance the development of visual speech learning, the task definition and research significance of visual speech generation was expounded and the difficulties and challenges were deeply analyzed in this field. Besides, the current status and development level of visual speech generation research was introduced, and the recent mainstream methods were sorted, classified and commented based on the difference of generation frameworks. At the end of the paper, the potential problems and possible research directions of visual speech generation were discussed.
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GAO Qinhe; HUANG Tong; QIAN Bingwen; SHEN Fei; WANG Dong; GAO LeiGAO Qinhe; HUANG Tong; QIAN Bingwen; SHEN Fei; WANG Dong; GAO Lei.Technical research review on analysis and evaluation of anti-damage capability for missile launching vehicle[J].国防科技大学学报,2024,46(2):182-196
AbstractIncreasing transparency of modern warfare has brought serious challenges to the survival of missile launching vehicle on the battlefield. Around the launcher anti-damage ability of analysis and evaluation technology, the threat of damage and damage mechanism faced by launcher were analyzed, current research status of four types of damage(shock wave, kinetic energy, thermal, and electromagnetic) from the perspective of the application of anti-damage capability assessment were elaborated, and different damage types in the evaluation of anti-damage capability and application directions in the analysis were putted forward; based on the vulnerability analysis space theory, the development process of equipment vulnerability analysis was summarized. It was considered that the logical transfer relationship from physical space to performance space was the key to the vulnerability analysis of launchers at present. Research trends of vulnerability criteria were introduced from the physical criteria, performance criteria and classification criteria, and the key criteria for vulnerability of launchers was proposed. Research concept and the main problems faced by analytical methods of the anti-damage capability of the launcher were explicitly described. Research conclusions can provide references for the analysis and evaluate related research of the anti-damage capability of the missile launching vehicle.
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GaN power devices and their radiation effects for space applications
BI Jinshun; SHEN Lizhi; MEI Bo; CAO Shuang; SUN Yi; YU QingkuiBI Jinshun; SHEN Lizhi; MEI Bo; CAO Shuang; SUN Yi; YU Qingkui.GaN power devices and their radiation effects for space applications[J].国防科技大学学报,2024,46(1):149-159AbstractIt is of great significance to study GaN(gallium nitride) power devices and their radiation effects to meet the needs of space applications and promote the construction of a new generation spacecraft. Main structures and working principles of GaN power devices were introduced. Research progress of total ionizing dose effect and single event effect of GaN power devices in recent years was reviewed. Degradation and damage mechanisms of GaN devices caused by radiation effects were analyzed and discussed. Research results show that GaN power devices have strong resistance to total ionizing dose. However, GaN power devices are prone to leakage and single event burnout due to their weak resistance to single event burnout, and most of the burnout points occur at the drain side of the gate edge. Research on the radiation damage mechanism of GaN power devices lacks authoritative theories and needs to be further mastered to provide theoretical support for their space application. GaN power devices with planar structure are the current mainstream technical solutions. Monolithic integration, high frequency and miniaturization are the development directions of GaN power devices in the future.
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Development status and technology challenges of high-altitude long-endurance solar-powered aircraft
YANG Xixiang;HOU Zhongxi;GUO ZhengYANG Xixiang;HOU Zhongxi;GUO Zheng.Development status and technology challenges of high-altitude long-endurance solar-powered aircraft[J].国防科技大学学报,2023,45(6):1-9AbstractHALE(high-altitude long-endurance) solar-powered aircrafts are the research frontiers, they can staying airborne for several months, and can form new application ability named "long-endurance+station-keeping". The three-stage development process of HALE solar-powered aircrafts was systematically summarized, including early exploration stage, rapid development stage and operational capability demonstration stage, and typical development plans aboard were introduced. Key technology challenges were analyzed, including aerodynamic configuration design, energy storage battery, high altitude propulsion, large scale structure and flight control, and the suggestions for research directions were proposed. All those can provide reference for innovation development of HALE solar-powered aircrafts.
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State of the art and prospects of neural architecture search
DING Ding;LIU Wenzhe;SHENG Changchong;SUI Jinping;LIU LiDING Ding;LIU Wenzhe;SHENG Changchong;SUI Jinping;LIU Li.State of the art and prospects of neural architecture search[J].国防科技大学学报,2023,45(6):100-131AbstractNeural architecture search is a task that aims to automatically search for the optimal neural network structure for different tasks, which is of great importance and inevitability in the joint development of deep learning and computer vision to the current stage. A comprehensive review of the research on neural network search was provided. In specific, the definition and significance of neural architecture search were introduced, and the difficulties and challenges faced in relevant research were deeply analyzed. Based on this, the mainstream search strategies was elaborate and summarize; Finally, the potential problems and possible future research directions were summarized and discussed to promote further development in this field.
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Research progress of anti-irradiation MRAM
SUN Jiejie;WANG Chao;LI Jiawei;JIANG Chuanpeng;CAO Kaihua;SHI Hui;ZHANG Youguang;ZHAO WeishengSUN Jiejie;WANG Chao;LI Jiawei;JIANG Chuanpeng;CAO Kaihua;SHI Hui;ZHANG Youguang;ZHAO Weisheng.Research progress of anti-irradiation MRAM[J].国防科技大学学报,2023,45(6):174-195AbstractThe novel non-volatile MRAM(magnetic random access memory) has the advantages of fast read and write speed, long data retention time and low power consumption, which attracts wide attention from researchers. Its excellent anti-irradiation capabilities are explored in depth, and further applications in aerospace and other fields are expected. The industrial development, technological changes and applications of MRAM were reviewed, the mature MRAM products of recent years were listed, and the advantages and disadvantages of different generations of MRAM were analyzed. The radiation effects of MTJ(magnetic tunnel junction) and read/write circuit based CMOS(complementary metal oxide semiconductor) were discussed. The recent achievements in anti-radiative hardening design for MRAM were summarized. The development prospect of anti-irradiation MRAM in aerospace field and even nuclear energy field was prospected.
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Overview of cognitive electronic warfare
HUANG Zhitao; WANG Xiang; ZHAO YuruiHUANG Zhitao; WANG Xiang; ZHAO Yurui.Overview of cognitive electronic warfare[J].国防科技大学学报,2023,45(5):1-11AbstractCognitive electronic warfare is usually defined as a form of electronic warfare that is based on electronic warfare equipment with cognitive performance and focuses on autonomous interactive electromagnetic environment learning capability and dynamic intelligent confrontation task processing capability. Since it was first proposed, it has attracted extensive attention from researchers and scholars at home and abroad for its advantages of accurate perception, strong reasoning and fast decision-making. With the continuous emergence of new concepts, technologies and applications of artificial intelligence, cognitive electronic warfare has stepped into a brand new stage of development. In order to capture its future development direction, the connotation of the concept of cognitive electronic warfare was summarized and enriched from the perspective of artificial intelligence, the development of cognitive electronic warfare and typical foreign projects were sorted out, the framework and architecture of cognitive electronic warfare system was built, a comprehensive and systematic review of the key technologies of cognitive electronic warfare was conducted from the aspects of perception, judgment, decision-making, etc., and the challenges and development trends of cognitive electronic warfare were summarized.
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Overview of GNSS/INS ultra-tight integrated navigation
NI Shaojie; LI Shiyang; XIE Yuchen; DENG DingNI Shaojie; LI Shiyang; XIE Yuchen; DENG Ding.Overview of GNSS/INS ultra-tight integrated navigation[J].国防科技大学学报,2023,45(5):48-59AbstractGNSS/INS ultra-tight integrated navigation system has become a research hotspot in the field of integrated navigation due to its high positioning accuracy, excellent dynamic performance and strong anti-jamming ability. The principle of GNSS/INS ultra-tight integration was introduced, and the advantages and features of ultra-tight integration mode relative to other integration modes were compared based on the analysis of the technical principle. The domestic and international research status was introduced, represented by ultra-tight integration under high dynamics and MIMU/GNSS ultra-tight integration. The key technologies such as fault-tolerant control technology, neural network assistance, and multi-sensor assisted ultra-tight integration were summarized, and the prospect of GNSS/INS ultra-tight integration towards low cost, high precision and strong stability was prospected.
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Survey on converged networks of high-performance computing network and data center network
LU Pingjing; DONG Dezun; LAI Mingche; QI Xingyun; XIONG Zeyu; CAO Jijun; XIAO LiquanLU Pingjing; DONG Dezun; LAI Mingche; QI Xingyun; XIONG Zeyu; CAO Jijun; XIAO Liquan.Survey on converged networks of high-performance computing network and data center network[J].国防科技大学学报,2023,45(4):1-10AbstractWith the convergence trend of high performance computing, big data processing, cloud computing and artificial intelligence computing, the converged network of high-performance computing network and data center network becomes an important trend. The current research status of converged network was analyzed, and the representative converged networks were described in detail to comprehensively show the latest technologies and trends. The challenges faced by the converged network were put forward, and the trends of converged network were proposed, including the convergence and differentiation coexistence of the converged network protocols, the performance acceleration of the converged network based on in-network computing, and the performance optimization of the converged network for emerging applications.
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SHEN Jianghua; ZHOU Yuting; WANG XiuxiaSHEN Jianghua; ZHOU Yuting; WANG Xiuxia.Research progress in damage mechanism of nickel-based single crystal superalloys under service conditions[J].国防科技大学学报,2023,45(4):55-65
AbstractIn order to improve the service life of nickel-based single crystal blades and solve the key technology of aeroengine turbine and gas turbine, domestic and overseas researchers carried out a large number of research on the failure and damage mechanism of nickel-based single crystal superalloys under service conditions in recent years. The research achievements and progress of fatigue, creep and thermomechanical fatigue damage mechanism of nickel-based single crystal superalloys under service conditions were concluded. In addition, in view of the time and cost increase caused by a large number of experiments, the research works and achievements in life prediction methods of nickel-based single crystal superalloys in recent years were summarized, and the difficulties and challenges in life evaluation and failure analysis of nickel-based single crystal superalloys were proposed.
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Research progress of operational reliability of civil aircraft
FENG Yunwen; LIU Jiaqi; PAN Weihuang; LU ChengFENG Yunwen; LIU Jiaqi; PAN Weihuang; LU Cheng.Research progress of operational reliability of civil aircraft[J].国防科技大学学报,2023,45(4):66-93AbstractBased on the technical status and development trend of civil aircraft operation reliability research, the requirements of civil aircraft operation reliability research were expounded according to the current type design, development and actual situation of in-service aircraft. By reviewing the research progress and engineering application status of civil aircraft operational reliability theory, the research status and problems of civil aircraft operational reliability are elaborated from six aspects:operation data acquisition and processing, operational reliability analysis method, operational reliability prediction feedback technology, optimization design based on operational reliability, optimize maintenance tasks, and comprehensive management platform for operational reliability. The future development direction of operation reliability research of civil aircraft is prospected.
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Progress in internal wave theory for two-layer and three-layer fluid systems
ZHAO Binbin; ZHANG Tianyu; DU Hui; DUAN Wenyang; WANG ZhanZHAO Binbin; ZHANG Tianyu; DU Hui; DUAN Wenyang; WANG Zhan.Progress in internal wave theory for two-layer and three-layer fluid systems[J].国防科技大学学报,2023,45(4):124-135AbstractInternal waves, occurring in stratified ocean, are ubiquitous in the world oceans. It is of great significance for our country′s marine development to study the generation and evolution of internal waves. Based on the internal wave theory of two-layer and three-layer fluid systems, the KdV(Korteweg-de Vries) internal wave theory, MCC(Miyata-Choi-Camassa) internal wave theory, HLGN(high-level Green-Naghdi) internal wave theory and Dubreil-Jacotin-Long internal wave theory, which were widely used at home and abroad, were selected to review their research progress. The advantages and limitations of different internal wave theories were discussed from mathematical models, theoretical research and numerical simulations. In the view of mathematical derivation, it is proved that MCC internal wave theory is equivalent to the first-level HLGN internal wave theory.
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JIANG Chuanjin; REN Yongjie; TONG Yiheng; XIE Yuan; CHU Wei; LI XiuqianJIANG Chuanjin; REN Yongjie; TONG Yiheng; XIE Yuan; CHU Wei; LI Xiuqian.Current status and trend of dynamic atomization characteristics of swirl injector under oscillating environment in liquid rocket engines[J].国防科技大学学报,2023,45(3):1-19
AbstractIn order to master the atomization characteristics of oscillating spray and its relationship with unstable combustion, research and development of gas-liquid coaxial swirl injectors and liquid-liquid coaxial swirl injectors, which are widely used in liquid rocket engines, are reviewed from three aspects of excited oscillation, self-pulsation, and interactions of spray oscillation with combustion stability, so as to deepen our understanding of them. According to the review, for the excited oscillation, the research on the upstream pressure oscillation caused by flow oscillation of supply system under normal temperature and pressure conditions is relatively sufficient. However, the research on the backpressure oscillation caused by pressure oscillation in the combustion chamber and the research on the excited oscillation of spray under supercritical conditions are lack. For the self-pulsation, the current research is focused on the liquid-centered coaxial swirl injectors. There are few studies on the gas-centered coaxial swirl injectors and liquid-liquid coaxial swirl injectors. The optical diagnosis technology is far from enough to extract the single combustion flow field information.
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Research progress of energy and actuation technology for micro-soft robots
YANG Yun; LIN Zening; HONG Yang; JIANG Tao; SHANG Jianzhong; LUO ZirongYANG Yun; LIN Zening; HONG Yang; JIANG Tao; SHANG Jianzhong; LUO Zirong.Research progress of energy and actuation technology for micro-soft robots[J].国防科技大学学报,2023,45(3):76-85AbstractMicro-soft robots with high compliance, low energy consumption and high energy density have wide application prospects in complex environments such as pipeline maintenance and battle field reconnaissance. Energy and actuator play a decisive role in the motion modes and performances of micro-soft robots. In order to make more researchers understand the research progresses of the existing flexible driving technology and their energy sources, the typical driving methods based on physical energy driving, chemical energy driving and biological hybrid driving were summarized and analyzed. The shortcomings and future development of the existing flexible driving technology and their energy sources were discussed and summarized, which can provide reference for the development and improving performance of the flexible drive technology of soft robots in the future.
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Review of the detection and removal methods of raindrops attached to the lens surface
LI Zhong; OUYANG Bin; QIU Shaohua; CUI Xiaopeng; XU XinghuaLI Zhong; OUYANG Bin; QIU Shaohua; CUI Xiaopeng; XU Xinghua.Review of the detection and removal methods of raindrops attached to the lens surface[J].国防科技大学学报,2023,45(3):146-160AbstractVisual system is an important part of autonomous unmanned system. The raindrops attached to the surface of the camera lens will produce artifacts in the image, resulting in the degradation of image quality, which will significantly affect the performance of the visual system. The detection and removal methods of attached raindrops in recent years were comprehensively and deeply researched. The essence of the problem was condensed, and the existing raindrop imaging models were summarized. Different technical methods were sorted out from three directions:model-based, data-driven and camera system-based, then the development of deep network model was summarized from two aspects of network architecture and loss function. The existing datasets of attached raindrops were summarized, and the performance of some algorithms was compared through the experimental results. The main problems in the task of raindrop detection and removal were discussed, and the possible development direction in this field was prospected.
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Survey on key technologies of UAV advanced ground stations
XIANG Xiaojia; TAN Qin; WANG Chang; ZHOU Han; TANG Dengqing; NIU YifengXIANG Xiaojia; TAN Qin; WANG Chang; ZHOU Han; TANG Dengqing; NIU Yifeng.Survey on key technologies of UAV advanced ground stations[J].国防科技大学学报,2023,45(2):1-14AbstractThe novel UAV (unmanned aerial vehicle) ground station with advanced control capabilities such as immersive display, intelligent assistance, and naturalized human-computer interaction has become a hot research topic in the field of UAV control. To analyze the technical aspects, the functional points and designs concepts of a series of advanced ground stations for UAVs at home and abroad were systematically compared. The technical system composition from the OODA (observe, orient, decide and act) loop of UAV ground station command and control were summarized and refined. The key techniques such as task environment construction, battlefield situation immersive display, intelligent assisted decision and naturalized human-computer interaction were analyzed and pointed out. The main research methods of various techniques were deeply analyzed, and the current challenges and future development trends of UAV advanced ground stations were also studied and judged. In addition, it provides guidance and reference for the development of novel ground stations.
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Review of visual-inertial navigation system initialization method
LIU Zhe; SHI Dianxi; YANG Shaowu; LI RuihaoLIU Zhe; SHI Dianxi; YANG Shaowu; LI Ruihao.Review of visual-inertial navigation system initialization method[J].国防科技大学学报,2023,45(2):15-26AbstractVINS (visual-inertial navigation systems) solve a series of parameters required for state estimation through initialization, such as scale, gravity vector, velocity, inertial measurement unit′s bias, etc., to improve the accuracy of navigation positioning and environmental perception of the system. The initialization methods of VINS can be divided into three categories according to the sensing information fusing mode:joint initialization, disjoint initialization and semi-joint initialization. Based on the existing research work, the current mainstream initialization methods of VINS were reviewed from four aspects:basic theory, development and classification, existing methods, performance evaluation, and the future development trends were summarized, which is helpful to have a general understanding of VINS initialization methods and grasp its development direction.
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Review on the memristor based neuromorphic chips
CHEN Changlin; LUO Changhang; LIU Sen; LIU HaijunCHEN Changlin; LUO Changhang; LIU Sen; LIU Haijun.Review on the memristor based neuromorphic chips[J].国防科技大学学报,2023,45(1):1-14AbstractIn order to master the current development status and development trends of memristor based neuromorphic chips, the existing memristor based neuromorphic chips and architectures were investigated. The memristor array structure and integration process, anterior and posterior neuron circuits, multi-array interconnection topology and data transmission strategy used in the chip, as well as the system simulation and evaluation methods used in the chip design process were compared and analyzed. It is concluded that the current circuit design of memristor based neuromorphic chips still need to solve the problems of limited resistance states, large device parameter fluctuation, complex array peripheral circuits, small integration scale, etc. It is pointed out that the actual application of this type of chip still faces challenges such as the improvement of memristor production process, improvement of development tool support, special instruction set development, and determination of typical traction applications.
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NIU Yifeng; LIU Tianqing; LI Jie; JIA ShengdeNIU Yifeng; LIU Tianqing; LI Jie; JIA Shengde.Review on motion planning methods for unmanned aerial vehicle cooperative maneuvering flight in cluttered environment[J].国防科技大学学报,2022,44(4):1-12
AbstractThe basic principle, representative methods, and state-of-the-art research of the sub-module related research within the general framework of cooperative maneuvering flight planning from single UAV (unmanned aerial vehicle) maneuvering flight to multi-UAV cooperative planning were introduced. It mainly included real-time navigation map construction, discrete-space path planning, continuous-space trajectory planning, hybrid planning based on discrete-space and continuous-space, and multi-courses/trajectories cooperative planning. The next research directions were proposed based on the major technologies of the planning framework.
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Review of RCS measurement and imaging methods of stealth aircraft
JIA Gaowei; YIN Peng; SHAO Shuai; WANG JianfengJIA Gaowei; YIN Peng; SHAO Shuai; WANG Jianfeng.Review of RCS measurement and imaging methods of stealth aircraft[J].国防科技大学学报,2022,44(3):93-103AbstractStealth aircraft has gradually become a great power, and will continue to play an important role, making stealth technology become the key technology of aircraft design. RCS(radar cross section) measurement of stealth aircraft is a necessary step to design, manufacture and maintain stealth aircraft. The basic process of RCS measurement of stealth aircraft was reviewed from three aspects:RCS test of scaled model, outdoor RCS test of full-scale aircraft and indoor near-field test of full-scale aircraft, the theoretical basis of RCS near-field measurement of stealth aircraft was summarized, and the near-field RCS measurement technology with imaging diagnosis function was analyzed intensively. The development trend and key technologies of stealth aircraft RCS measurement were prospected, which is helpful to have a general understanding of RCS measurement of stealth aircraft and grasp the development direction of RCS measurement.
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XIAO Fei; MA Weiming; LUO Yifei; LIU Binli; JIA Yingjie; LI XinXIAO Fei; MA Weiming; LUO Yifei; LIU Binli; JIA Yingjie; LI Xin.Review of dynamic characterization research of high power IGBTs and their combinations under multiple time scales[J].国防科技大学学报,2021,43(6):108-126
AbstractBased on demand of multiple time scale dynamic characterization of power electronic devices and their combination, the recent research progress and achievements on the widely used full-control power electronic devices—IGBTs(insulated gate bipolar transistors), were analyzed systematically, including the multiple time scales electro-thermal modeling of high power IGBTs and their combinations, quantitative failure evaluation methods based on the multiple time scales model and the assisted multi-rate simulation method. Furthermore, applications of the models were introduced in power electronic instruments design. In conclusion, the dynamic characterization method of high power IGBTs and their combinations under multiple time scales were presented from four aspects of modelling method, reliability evaluation, simulation method and application design, which can bring theoretical and technical support of power electronic devices to precise design of power electronic hybrid system.
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Review on two-dimensional trajectory correction projectile and its guidance and control technology
XING Bingnan; DU Zhonghua; DU ChengxinXING Bingnan; DU Zhonghua; DU Chengxin.Review on two-dimensional trajectory correction projectile and its guidance and control technology[J].国防科技大学学报,2021,43(4):53-68AbstractIn view of the wide application prospect of intelligent ammunition, the development of two-dimensional trajectory correction projectile, main correction mechanism scheme and guidance control technology were summarized. The development process of the two-dimensional trajectory correction projectile was reviewed, aiming to reveal the development principle. Several main correction schemes were discussed, and the function characteristics and research difficulties of each mechanism were analyzed. Based on the requirements of the two-dimensional trajectory correction projectile, the research status of its control technology was summarized from three aspects:aerodynamic identification and state estimation algorithm, parameter optimization algorithm and guidance law. The rapid development of intelligent algorithm in recent years, especially the application of neural network theory in the field of control algorithm was focused on. The main technical difficulties and the future development direction of the control research of the two-dimensional trajectory correction projectile, which provides ideas for the design, were pointed out.
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Current status and trend of UAV swarm communication payload technology based on free space optical
SU Shaojing; TONG Xiaozhong; WEI Junyu; WU PengSU Shaojing; TONG Xiaozhong; WEI Junyu; WU Peng.Current status and trend of UAV swarm communication payload technology based on free space optical[J].国防科技大学学报,2021,43(4):118-127AbstractThe application requirements of UAV (unmanned aerial vehicle) swarm communication payload technology based on FSO (Free Space Optical) were summarized, and the current status of FSO technology and application at home and abroad UAV payloads was discussed. The development prospect of the payload technology of UAV swarm based on FSO communication in high-speed mobile communication environment was also analyzed. Furthermore, a profound analysis on the key technologies in FSO communication links applied to UAV swarm was conducted. Predictably, FSO-based communication payload will be used widely for wide-bandwidth communication networking of UAV swarm in the future.
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Review of layerwise theory for composite materials laminated structures and its applications
SHEN Haijun; LI WeiSHEN Haijun; LI Wei.Review of layerwise theory for composite materials laminated structures and its applications[J].国防科技大学学报,2021,43(3):1-14AbstractLayerwise theory, proposed by Reddy, is a 3D analysis method for accurately analyzing composite laminated plates and shells. Without introducing any deformation and stress hypothesis, layerwise theory, compared with the classical equivalent single layer theories, has greater advantages for static and dynamic responses analysis of thick composite laminated plates and shells, especially for local interlaminar effects analysis. A review and recent research progress of the layerwise theory were presented, and its numerical solutions and applications were demonstrated as well. The basis of layerwise theory and its recent development were introduced. The implementation of layerwise finite element method and its refined models were discussed. The employment of layerwise theories for conducting static and vibration analyses and the damage model analysis of composite laminated plates and shells were outlined. And several future research trends were recommended in the end.
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Research progress and application of thermal fluid platelet devices
YIN Liang; LIU WeiqiangYIN Liang; LIU Weiqiang.Research progress and application of thermal fluid platelet devices[J].国防科技大学学报,2021,43(3):15-22AbstractThe platelet technology has been in rapid development because of several features, including the special structure of flow channel, the precise size and location, and can provide solutions to difficult thermal and fluid flow problems. As a result, the platelet technology is a major technological innovation in the history of science and technology. The characteristics and development of platelet fluid devices were briefly introduced. Some typical new applications at home and abroad in recent years, such as platelet injector, platelet transpiration cooling nose-tip, platelet fluid mixer, platelet thruster of high speed ship and platelet muffler were summarized. Finally, the correlation of processing of platelet technology and 3D printing technology was described.
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LUO Shibin; LIU Haiqiao; HU Maoqing; DONG JingLUO Shibin; LIU Haiqiao; HU Maoqing; DONG Jing.Review of multi-modal image matching assisted inertial navigation positioning technology for unmanned aerial vehicle[J].国防科技大学学报,2020,42(6):1-10
AbstractHigh-precision positioning and navigation in GPS(global positioning system) denied environments is a key technology for aircraft achieving autonomous scout, cruise, and strike. Vision navigation has the advantages of passive-type, low cost, and avoidable accumulated errors avoidable, etc. The fusion of vision and inertial navigation can give full play to their advantages and achieve the purpose of high-precision positioning. Firstly, the development of aircraft positioning technology based on multi-modal image matching assisted inertial navigation was summarized. Then this technology was elaborated in five aspects:the vision-internal calibration, multi-modal image matching, attitude algorithm, data fusion, and back-end optimization. Finally, four possible future directions were proposed as follows, two types of passive positioning combined navigation systems based on deep learning, multi-modal image matching and inertial navigation. The four possible future directions provide a reference for realizing multi-modal image matching assisted inertial navigation aircraft positioning technology.
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ZHENG Wei; LI Zhaowei; WU FanZHENG Wei; LI Zhaowei; WU Fan.Research progress of the underwater gravity-aided navigation based on the information of aerospace-marine integration[J].国防科技大学学报,2020,42(3):39-49
AbstractThe accurate navigation of the underwater vehicle plays an important role in the process of the ocean utilization and development. The problem of restraining the accumulation errors of the underwater navigation over time was discussed and analyzed in detail. Firstly, the development history of the inertial devices was briefly described. Secondly, the advantages and disadvantages of each navigation system were compared in detail, the research status of the gravity-aided navigation at home and abroad were introduced, and the demand for the high-precision navigation of the underwater vehicles and the scientific problems of insufficient spatial resolution of the global marine gravity reference map were analyzed. Finally, the idea and technical route of obtaining the high spatial resolution and high precision global marine gravity reference map by GNSS-R altimetry constellations are proposed in order to improve the accuracy of the underwater gravity-aided navigation.
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A survey of the techniques of volume rendering for large-scale scientific data
WANG Huawei; HE Liu; CAO Yi; XIAO LiWANG Huawei; HE Liu; CAO Yi; XIAO Li.A survey of the techniques of volume rendering for large-scale scientific data[J].国防科技大学学报,2020,42(2):1-12AbstractVolume rendering is an effective method to visualize complex physical features in large-scale scientific data with high expressiveness, the difficulties in processing huge amount of data and capturing complex features, however, are still a great challenge to volume rendering. To address the challenges and improve efficiency and effect of volume rendering, researchers conducted in-depth research on volume rendering algorithms from three aspects. On the one hand, it is an effective way to improve the efficiency of volume rendering by sharing computation with lots of processor cores so as to reduce the computational amount of one processor core. On the other hand, by fully exploring the intrinsic characteristics of three-dimensional data fields, data reduction methods can greatly decrease the amount of data in the rendering process and thus reduce the overhead of a volume rendering algorithm. In addition, feature analysis and enhancement techniques can also be integrated into volume rendering algorithms, thus complex physical features are highlighted from the data fields and high-quality rendering of scientific data is achieved. A survey of recent advances on volume rendering techniques was presented and various research methods were analyzed. In the end, this paper makes prospection for future research directions on volume rendering of large-scale scientific data, including application-driven feature volume rendering, feature-based data reduction in volume rendering, hardware-adapted multi-level acceleration of volume rendering and in-situ intelligent volume rendering.
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Research progress of supercontinuum laser source
YANG Weiqiang; SONG Rui; HAN Kai; HOU JingYANG Weiqiang; SONG Rui; HAN Kai; HOU Jing.Research progress of supercontinuum laser source[J].国防科技大学学报,2020,42(1):1-9AbstractAlong with the maturity of high-nonlinearity optical fiber manufacturing technology and the improvement of the performance of fiber lasers, the supercontinuum sources have entered a period of rapid development. Supercontinuum generation by using optical fibers as the non-linear media has become a research hotspot. The technical schemes and recent progress of supercontinuum generation were been reviewed from three different bands:visible, near-infrared and mid-infrared. At present, the output power of the visible and near-infrared supercontinuum sources broke through 100 W. At the same time, many new schemes such as supercontinuum generation in multi-core photonic crystal fibers, fiber amplifiers and random fiber lasers were developed. The output power of mid-infrared supercontinuum generation by using fluoride and tellurite fibers as non-linear media, also reached 10 W. The output spectrum of supercontinuum generation with chalcogenide optical fibers as non-linear medium was extended to more than 12 μm.
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Advanced imaging and detecting technology for precision guidance
LUO Chenggao; DENG Bin; CHENG Yongqiang; WANG Wenpeng; WANG Hongqiang;WANG ZhanLUO Chenggao; DENG Bin; CHENG Yongqiang; WANG Wenpeng; WANG Hongqiang;WANG Zhan.Advanced imaging and detecting technology for precision guidance[J].国防科技大学学报,2019,41(5):174-184AbstractThe history of precision guidance technologies was reviewed, and the challenges and main developing trends of imaging and detecting technologies for precision guidance were illustrated. Combined with the recent developments of the emerging technologies such as terahertz, quantum and metamaterial, the backgrounds, developing venation, basic principles and advantages of three typical advanced imaging and detecting technologies, namely, terahertz radar, quantum radar and metamaterial radar were expounded. These advanced techniques may have the potential to provide feasible approaches for precision guidance technology to overcome the challenges brought by the future new warfare form. The analysis results will provide some positive guidance and is of significance for improving the strike and intercept effectiveness of the precision guided weapon systems.
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Definition and measurement of system complexity
DUAN Xiaojun; YIN Yimin;GU KongjingDUAN Xiaojun; YIN Yimin;GU Kongjing.Definition and measurement of system complexity[J].国防科技大学学报,2019,41(1):191-198AbstractComprehension of complexity is one of the key challenges in science and technology. Complexity is a very important conception in interdisciplinary systems science, and is significant to researchers. The basic semantic background on system complexity was presented and the various definitions of complexity domestically and overseas were analyzed. On the basis of the classification of ontology and epistemology, a taxonomy of complexity was described on the basis of the state-of-the-art works on complexity definition. Meanwhile, a category of complexity measurements and the corresponding mathematical tools were proposed. Examples were given for the efficiency of complexity classification and measures.
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Research progress in controlling femtosecond laser filamentation in atmosphere
NIE Jinsong;HU YuzeNIE Jinsong;HU Yuze.Research progress in controlling femtosecond laser filamentation in atmosphere[J].国防科技大学学报,2018,40(4):1-8AbstractUnder the dynamic equilibrium among diffraction, dispersion, Kerr effect and multiple photons ionization, a self-guiding filament formed by femtosecond laser with long propagation distance can be constructed, which is accompanied by a narrow plasma channel. In order to control the propagation features of filamentation explicitly in air, a way to effectively regulate filamentation propagation modes and spatio temporal distributions has become a research hotspot. On the basis of introducing the physical model of filamentation briefly, a general overview of controlling filamentation divided by two parts was presented in this review: temporal modulations and spatial modulations. In particular, the latter consists of modulations designed by phase, amplitude and special beams. Our findings suggest that unique filaments controlled by initial modulations can offer advantages and fundamentals for the realization of numerous potential applications.
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Current status and prospect for the method on reliability analysis of hull structures in-service
HUA Lin; WU Fan; LYU Yansong;MU JinleiHUA Lin; WU Fan; LYU Yansong;MU Jinlei.Current status and prospect for the method on reliability analysis of hull structures in-service[J].国防科技大学学报,2018,40(4):173-180AbstractAs the key technology of reliability evaluation for hull structure in-service, the merits of the reliability assessment theories determines the effectiveness and confidence level of the reliability evaluation result directly. The development course and current research situation of traditional reliability assessment theories and non-probabilistic reliability assessment theory were elaborated in the view of calculation principle, computing of measurement index and engineering application. Simultaneously, the advantages and disadvantages of all current reliability assessment theories that applied in hull structure in-service were analyzed and summarized. The future research outlook was developed and the focus in the study of hull structure reliability was outlined.
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Survey of alert-correlation based on network threat detection techniques
WANG Yijie; CHENG Li;MA XingkongWANG Yijie; CHENG Li;MA Xingkong.Survey of alert-correlation based on network threat detection techniques[J].国防科技大学学报,2017,39(5):128-138AbstractThe rapid development of the Internet also causes more and more network threats. How to detect the network threats in a real-time and accurate manner becomes one of the key technique issues. The alert-correlation-based network threat detection technique is becoming the research hotspot, which couples with the widely used security products and fully exploits the relation between abnormal events to reconstruct the attack scenario. Starting from the features of network threats and security environment, the requirements and classification of network threat detection were introduced. Then the basic concepts and system model of alert-correlation-based network threat detection technique were illustrated in detail. The key module of the model, aler correlation method, and the fundamentals and features of different kinds of typical algorithm were studied in detail, including causal-relation-based method, case-based method, similarity-based method and data-mining-based method. Furthermore, three kinds of representative detection system architectures were discussed with practical instances, namely centralized architecture, hierarchical architecture and distributed architecture. Finally, based on the analysis of recent research work, the future work is discussed and outlined.
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A survey of gliding guidance methods for hypersonic vehicles
PAN Liang; XIE Yu; PENG Shuangchun; XU Mingliang;YUAN TianbaoPAN Liang; XIE Yu; PENG Shuangchun; XU Mingliang;YUAN Tianbao.A survey of gliding guidance methods for hypersonic vehicles[J].国防科技大学学报,2017,39(3):15-22AbstractThe basic problem of gliding guidance for hypersonic vehicles was proposed, and the difficulties of complicated multiple constraints, maneuver requirements, and parameter perturbation in the course of gliding guidance were analyzed. The corresponding research status at home and abroad was surveyed, and the problems were also pointed out. On this basis, the key problems required to be solved at present in the research of gliding guidance for hypersonic vehicles were presented, and the research hotspots in the methods of future gliding guidance were also pointed out.
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HUANG Min; WANG Zhongwei;GUO ZhenyunHUANG Min; WANG Zhongwei;GUO Zhenyun.Wind tunnel based virtual flight testing system and key technologies for the evaluation of flight control system[J].国防科技大学学报,2017,39(2):1-8
AbstractIn order to provide a guide for specific investigations on WTBVFT(wind tunnel based virtual flight testing) techniques, the test system and key technologies of WTBVFT for the evaluation of FCS (flight control system) were analyzed. Based on the deficiencies of the traditional FCS evaluation methods, the advantages of WTBVFT for evaluation of FCS were analyzed. According to the common constitution of attitude control loop and guidance control loop used by FCS, the test system and working principle of WTBVFT for FCS evaluation were presented. The main differences between the WTBVFT system and the hardware-in-the-loop simulation system were analyzed. The key technologies of WTBVFT for FCS evaluation were also analyzed, including WTBVFT evaluation methods, aircraft model design technique, FCS modification technique, and model support technique.
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Electromagnetic launch technology
MA Weiming;LU JunyongMA Weiming;LU Junyong.Electromagnetic launch technology[J].国防科技大学学报,2016,38(6):1-5AbstractElectromagnetic launch technology is an inevitable trend among methods of launch in the future. The principle and technology characteristics of electromagnetic launch is analyzed, three branches of electromagnetic launch technology development overseas in electromagnetic ejection, electromagnetic railgun and electromagnetic pushing were studied, and the key technology of electromagnetic launch was summarized. Furthermore, the development strategy and the extension application prospect of electromagnetic launch technology was proposed.
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Review of the interdependent networks
LAO Songyang; WANG Junde;BAI LiangLAO Songyang; WANG Junde;BAI Liang.Review of the interdependent networks[J].国防科技大学学报,2016,38(1):122-128AbstractIn recent years, the network dependency and interdependent networks have become a research hotspot in the field of complex network, but literature about the overview of related research progress is still very rare. Based on the systematic research of domestic and overseas literatures, the percolation theory of the interdependent networks was briefly introduced, and the cascading failure process of the interdependent networks was described. Then the related progress was summarized from three aspects that can affect the robustness of interdependent networks: characteristics of sub network, type of dependency edge, the combination of sub networks. Finally, the future development direction of interdependent networks was prospected in both theoretical and practical aspects.
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YANG Xixiang; YANG Huixin;WANG PengYANG Xixiang; YANG Huixin;WANG Peng.Overview of pseudo-spectral method and its application intrajectory optimum design for flight vehicles[J].国防科技大学学报,2015,37(4):1-8
AbstractTrajectory optimum design for flight vehicles using pseudo-spectral methods has been a hot research direction in recent years, but studies about the overview of this field are very few. Based on the systematic research of domestic and overseas related literatures, the basic principles of several pseudo-spectral methods which have a wide range of applications in aerospace field were expounded; the thoughts and formulas for transforming continuous optimal control problems into nonlinear programming problems were concluded; the applications of pseudo-spectral method in the trajectory optimum design for flight vehicles were summarized; the development directions of pseudo-spectral method and its application in trajectory optimization design for flight vehicles were discussed.
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Development status and tendency of active debris removal
CAO Xibin; LI Feng; ZHANG Jinxiu;Richard MurielCAO Xibin; LI Feng; ZHANG Jinxiu;Richard Muriel.Development status and tendency of active debris removal[J].国防科技大学学报,2015,37(4):117-120AbstractWith the increase of domestic and foreign launching tasks, it is becoming a serious challenge that plenty of failure or invalid spacecrafts in the process of space resources recycling. The active debris removal can be regarded as an effective and fundamental means that can realize the reuse of space resources and safe disposal. The concept of active debris removal is clarified and its development process also is analyzed. Some key techniques, such as relative navigation, coordinated control, capture method and device for non-cooperative target, are proposed. It will provide some fruitful reference for our country′s active debris removal in future.
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Research and application progress on underwater terrain-aided navigation technology
ZHANG Jingyuan; SHEN Jian; LI Heng;RAO ZheZHANG Jingyuan; SHEN Jian; LI Heng;RAO Zhe.Research and application progress on underwater terrain-aided navigation technology[J].国防科技大学学报,2015,37(3):128-135AbstractBased on brief introduction of the conception of underwater terrain-aided navigation, the key problems and research progress of underwater terrain-aided navigation were introduced from the view of terrain aided navigation algorithm, underwater digital map technology, and experimentation. The direction of research and development of application was pointed out as well.