The paper mainly studies the first attack probability (FAP) of an attacker level bombing anti-air radars through analyzing the radiant point orientation and attack (RPOA) process of attackers. Firstly, the searching t...The paper mainly studies the first attack probability (FAP) of an attacker level bombing anti-air radars through analyzing the radiant point orientation and attack (RPOA) process of attackers. Firstly, the searching target process is analyzed, and a corresponding target finding model is brought forward. Secondly, the target approaching process is concretely analyzed when the attacker levelly bombs the anti-air radar, and a corresponding target approaching model is presented. Finally, a demonstration is given to analyze the major factors in the model and prove its validity.展开更多
This paper considers the problem of generating a flight trajectory for a single fixed-wing unmanned combat aerial vehicle （UCAV） performing an air-to-surface multi-target attack （A/SMTA） mission using satellite-gu...This paper considers the problem of generating a flight trajectory for a single fixed-wing unmanned combat aerial vehicle （UCAV） performing an air-to-surface multi-target attack （A/SMTA） mission using satellite-guided bombs. First, this problem is formulated as a variant of the traveling salesman problem （TSP）, called the dynamic-constrained TSP with neighborhoods （DCT- SPN）. Then, a hierarchical hybrid approach, which partitions the planning algorithm into a roadmap planning layer and an optimal control layer, is proposed to solve the DCTSPN. In the roadmap planning layer, a novel algorithm based on an updatable proba- bilistic roadmap （PRM） is presented, which operates by randomly sampling a finite set of vehicle states from continuous state space in order to reduce the complicated trajectory planning problem to planning on a finite directed graph. In the optimal control layer, a collision-free state-to-state trajectory planner based on the Gauss pseudospectral method is developed, which can generate both dynamically feasible and optimal flight trajectories. The entire process of solving a DCTSPN consists of two phases. First, in the offline preprocessing phase, the algorithm constructs a PRM, and then converts the original problem into a standard asymmet- ric TSP （ATSP）. Second, in the online querying phase, the costs of directed edges in PRM are updated first, and a fast heuristic searching algorithm is then used to solve the ATSP. Numerical experiments indicate that the algorithm proposed in this paper can generate both feasible and near-optimal solutions quickly for online purposes.展开更多
Based on the analysis for the interception process of ship-to-air missile system to the anti-ship missile stream, the antagonism of ship-to-air missile and anti-ship missile stream was modeled by Monte Carlo method. T...Based on the analysis for the interception process of ship-to-air missile system to the anti-ship missile stream, the antagonism of ship-to-air missile and anti-ship missile stream was modeled by Monte Carlo method. This model containing the probability of acquiring anti-ship missile, threat estimation, firepower distribution, interception, effectiveness evaluation and firepower turning, can dynamically simulate the antagonism process of anti-ship missile attack stream and anti-air missile weapon system. The anti-ship missile's saturation attack stream for different ship-to-air missile systems can be calculated quantitatively. The simulated results reveal the relations among the anti-ship missile saturation attack and the attack intensity of anti-ship missile, interception mode and the main parameters of anti-air missile weapon system. It provides a theoretical basis for the effective operation of anti-ship missile.展开更多
Objectives: This study was designed to determine the effects of air pollutants on emergency admissions for asthma, and to forecast the disease burden in Shiraz, Iran. Methods: The average daily concentrations of fine ...Objectives: This study was designed to determine the effects of air pollutants on emergency admissions for asthma, and to forecast the disease burden in Shiraz, Iran. Methods: The average daily concentrations of fine particles (PM10), nitrogen dioxide (NO2), sulfur dioxide (SO2), carbon monoxide (CO) and ozone (O3) were calculated from data reported by two air quality monitoring stations in Shiraz from the beginning of 2007 to mid-2012. Results: The numbers of patients admitted with asthma attack during this period were collected from four main university-affiliated hospitals. Admissions correlated strongly with the levels of PM10, SO2, CO and O3 during warm seasons (P<0.001), and with NO2 level during cold seasons (P<0.001). We forecast increasing trends in air pollutants and patient admissions in the year 2015. Conclusion: Our findings are further evidence of the effects of air pollutants on asthma exacerbations.展开更多
文摘The paper mainly studies the first attack probability (FAP) of an attacker level bombing anti-air radars through analyzing the radiant point orientation and attack (RPOA) process of attackers. Firstly, the searching target process is analyzed, and a corresponding target finding model is brought forward. Secondly, the target approaching process is concretely analyzed when the attacker levelly bombs the anti-air radar, and a corresponding target approaching model is presented. Finally, a demonstration is given to analyze the major factors in the model and prove its validity.
文摘This paper considers the problem of generating a flight trajectory for a single fixed-wing unmanned combat aerial vehicle （UCAV） performing an air-to-surface multi-target attack （A/SMTA） mission using satellite-guided bombs. First, this problem is formulated as a variant of the traveling salesman problem （TSP）, called the dynamic-constrained TSP with neighborhoods （DCT- SPN）. Then, a hierarchical hybrid approach, which partitions the planning algorithm into a roadmap planning layer and an optimal control layer, is proposed to solve the DCTSPN. In the roadmap planning layer, a novel algorithm based on an updatable proba- bilistic roadmap （PRM） is presented, which operates by randomly sampling a finite set of vehicle states from continuous state space in order to reduce the complicated trajectory planning problem to planning on a finite directed graph. In the optimal control layer, a collision-free state-to-state trajectory planner based on the Gauss pseudospectral method is developed, which can generate both dynamically feasible and optimal flight trajectories. The entire process of solving a DCTSPN consists of two phases. First, in the offline preprocessing phase, the algorithm constructs a PRM, and then converts the original problem into a standard asymmet- ric TSP （ATSP）. Second, in the online querying phase, the costs of directed edges in PRM are updated first, and a fast heuristic searching algorithm is then used to solve the ATSP. Numerical experiments indicate that the algorithm proposed in this paper can generate both feasible and near-optimal solutions quickly for online purposes.
文摘Based on the analysis for the interception process of ship-to-air missile system to the anti-ship missile stream, the antagonism of ship-to-air missile and anti-ship missile stream was modeled by Monte Carlo method. This model containing the probability of acquiring anti-ship missile, threat estimation, firepower distribution, interception, effectiveness evaluation and firepower turning, can dynamically simulate the antagonism process of anti-ship missile attack stream and anti-air missile weapon system. The anti-ship missile's saturation attack stream for different ship-to-air missile systems can be calculated quantitatively. The simulated results reveal the relations among the anti-ship missile saturation attack and the attack intensity of anti-ship missile, interception mode and the main parameters of anti-air missile weapon system. It provides a theoretical basis for the effective operation of anti-ship missile.
文摘Objectives: This study was designed to determine the effects of air pollutants on emergency admissions for asthma, and to forecast the disease burden in Shiraz, Iran. Methods: The average daily concentrations of fine particles (PM10), nitrogen dioxide (NO2), sulfur dioxide (SO2), carbon monoxide (CO) and ozone (O3) were calculated from data reported by two air quality monitoring stations in Shiraz from the beginning of 2007 to mid-2012. Results: The numbers of patients admitted with asthma attack during this period were collected from four main university-affiliated hospitals. Admissions correlated strongly with the levels of PM10, SO2, CO and O3 during warm seasons (P<0.001), and with NO2 level during cold seasons (P<0.001). We forecast increasing trends in air pollutants and patient admissions in the year 2015. Conclusion: Our findings are further evidence of the effects of air pollutants on asthma exacerbations.
