基于水平集的多相活动轮廓图像分割模型

提出了一种新型的多相活动轮廓模型,是无边活动轮廓模型的广义形式。该模型具有如下特点：（1）提出了背景填充技术,可以在检测目标内部弱边缘时去除阻碍检测的背景信息;（2）在单次二相水平集收敛的基础上,采用多次收敛方式实现了多相分割模型（n-1次收敛实现n相分割模型,n〉1）;（3）介绍了一种提升算法,进一步增强了模型的计算稳定性。实验结果表明,该模型对弱边缘检测特别有效。     

航天器测控仿真方法研究

航天器发射前,航天飞行控制中心需要对相关测控方案和软件进行验证。利用仿真系统验证测控方案和软件是一种行之有效的途径。航天器测量数据、轨道和姿态控制仿真是航天飞行控制中心仿真系统的重要组成部分。分别讨论了航天器测量数据、轨道控制和姿态控制仿真方法,分析了航天器测控仿真系统的建立,通过仿真结果说明了仿真方法的合理可行。     

Flow field generated by a dielectric barrier discharge plasma actuator in quiescent air at initiation stage

A single Dielectric Barrier Discharge (DBD) plasma actuator driven by Alternating Current (AC) power, capable of inducing a starting vortex and a wall jet in quiescent air, is suited for low-Reynolds-number flow control. However, the starting vortex and the wall jet are usually observed after the plasma actuator has been operated for dozens of and hundreds of cycles of the voltage, respectively. The detail of the induced flow field at the initiation stage of the plasma actuator has rarely been addressed. At the initiation stage, a thin jet that provides the impetus for the entrainment of the induced flow at the beginning of the plasma actuation is first observed by using a high-accuracy phase-lock Schlieren technique and a high-speed Particle Image Velocimetry (PIV) system. This is the initial form of the momentum transfer from the plasma to the fluid. Then, an arched type jet is created by the plasma actuator. In addition, the whole development process of the induced flow field from the starting point of the thin jet to the quasi-steady stage of wall jet is presented for providing a comprehensive understanding of the plasma actuator and proposing a relevant enhancement of the numerical simulation model.     

视觉导引的无人直升机自主着舰系统仿真

对于无人直升机着舰问题,提出了基于视觉导引的自主着舰方案;建立了一套无人直升机自主着舰仿真系统;建立了舰船运动模型,无人直升机六自由度非线性全量模型;设计了着舰特征图案,通过摄像机模型获取舰船上的特征图案;提出快速四点算法实现3D位姿估算,并以此构建视觉信息识别系统,识别直升机与舰船相对运动参数;通过分层控制思想,实现基于视觉信息导引着舰。在此基础上形成仿真闭环,对无人直升机定点自主着舰的全过程进行仿真验证。     

软件抗干扰技术在航天靶场中的应用

讨论了航天靶场应用的软件延时技术、通道软件抗干扰技术、程序运行中的软件抗干扰技术、数据采集误差的软件抗干扰技术等常用的软件抗干扰技术,这些措施的综合应用可以有效提高航天靶场的抗干扰性.     

美国海军电子战系统及技术发展趋势

回顾了以舰载电子战系统、舷外电子战系统和舰载机电子战系统为代表的美军主要海战场电子对抗装备发展情况,总结了海战场电子对抗技术的发展现状,并对其未来发展趋势进行了分析,为我国相关技术的发展提供借鉴。     

Integration of artificial intelligence with meta classifiers for the gully erosion susceptibility assessment in Hinglo river basin,Eastern India

The main aim of this study is to evaluate the gully erosion susceptibility coupling the artificial intelligence and machine learning ensemble approaches. In the present study, the multilayer perceptron neural network (MLP) was used as the base classifier and the hybrid ensemble machine learning methods i.e. Bagging and Dagging were used as the functional classifiers. The Hinglo river basin, an important tributary of the Ajay River was selected as the study area, consists with the parts of Chhotonagpur plateau and Rarh lateritic region. The study area is facing the gully erosion problems which are interrupted the growth of the agriculture. The gully erosion susceptibility maps (GESMs), prepared by MLP, MLP-Bagging and MLP-Dagging were classified into four classes such as low, moderate, high and very high susceptibility classes with the help of natural break method (NBM) in GIS environment. The very high susceptibility class covered 19.41% (MLP), 13.52% (MLP-Bagging) and 15.30% (MLP-Dagging) areas of the basin. For the evaluation and comparison of the models, receiver operating characteristics (ROC), accuracy, mean absolute error (MAE) and root mean square error (RMSE) were applied. Overall, all the gully erosion susceptibility models were performed as excellent. Integration of hybrid ensemble models with MLP has increase the accuracy of the MLP models. Among these models MLP-Dagging has achieved the highest accuracy in compare to the other models. The importance of the selected factors in the present study was assessed by the Relief-F method. The results show that the soil type factor has the highest predictive performance. Sensitivity analysis also showed soil type as most important factor. The gully erosion susceptibility maps (GESMs) are considered as the efficient tool which could be used to take the necessary steps for mitigating and controlling the soil erosion problem and sustainable environmental management and development.     

基于混响室的电磁环境及自然环境综合试验箱设计和仿真技术

本文提出一种基于混响室平台将电磁环境和自然环境结合的综合试验箱集成技术，该试验箱集成了环境试验条件和电磁辐射敏感度试验条件，可以在高低温、湿热、温度循环、温度冲击等多种环境条件下同时对电子设备施加电磁辐射干扰，考核电子设备在同施加环境应力和电磁应力的复杂条件下的适应性。经过设计、建造和测试，该集成技术满足各项预期指标并容易进行推广，可进一步降低设备试验成本。     

Models for estimating daily photosynthetically active radiation in oceanic and mediterranean climates and their improvement by site adaptation techniques

In this work Photosynthetically Active Radiation (PAR) in oceanic and mediterranean climates is modeled. Twenty-two different models have been developed and tested: eleven Multilinear Regression (MR) models and eleven Artificial Neuron Network (ANN) models, using combinations of variables such as Global Horizontal Irradiance (GHI), Global Extraterrestrial Irradiance (G₀), Temperature (T) and Relative Humidity (RH). Data provided by Satellite Application Facility on Climate Monitoring (CM SAF) are used to develop and train the models, while the models have been validated using field data from four stations located in Spain, covering the different study climates.According to the results, zones with different climate conditions need different models, both for the case of MR and ANN. The results show the need of including the GHI in all models in order to obtain accurate estimates; in fact, the presence of more variables only improves slightly the results in mediterranean climate, while in oceanic climate no improvement is observed.On the other hand, comparing MR and ANN models, ANN models did not show better results than those of MR models in no one of the cases studied. Regarding the climate, both types of models are clearly better for the mediterranean case than for the oceanic one. In order to improve the performance of the model for oceanic climate a correction based on the site adaptation technique was carried out. The good results obtained by this technique fully justify its use.The best proposed models provide better performance than other models which are restricted to certain locations. Besides, the clustering technique based on the PAR variable, used in this work, allows obtaining useful models for a whole region. Finally, another advantage of this methodology is that there is no need of ground measurements for its development, except for the site adaptation technique.     

Use of global ionospheric maps for HF Doppler measurements interpretation

The HF Doppler technique, a method of measurement of Doppler frequency shift of ionospheric signal, is one of the well-known and widely used techniques of ionosphere research. It allows investigation of various disturbances in the ionosphere. There are different sources of disturbances in the ionosphere such as geomagnetic storms, solar flashes, meteorological effects and atmospheric waves. The HF Doppler technique allows us to find out the influence of earthquakes, explosions and other processes on the ionosphere, which occurs near the Earth. HF Doppler technique has high sensitivity to small frequency variations and high time resolution but interpretation of results is difficult. In this paper, we attempt to use GPS data for Doppler measurements interpretation. Modeling of Doppler frequency shift variations with use of TEC allows separation of ionosphere disturbances of medium scale.