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NSEG是美国兰利研究中心推出的飞行器起飞、爬升、巡航、加速、下降、减速和着陆等各个过程分析软件。-NSEG was developed to perform rapid aircraft mission analyses. It is based upon the use of approximate equations of motion whose form varies with the type of flight segment. Flight segments considered are takeoff, accelerations, climbs, cruises, descents, decelerations, and landings. Layered atmosphere options are available. The program can also be used for flight envelope mapping. NSEG provides the capability to analyze aircraft missions from low to hypersonic speeds. Realistic and detailed vehicle characteristics are input to NSEG to permit accurate mission analysis. NSEG allows engine scaling so as to fit the design under analysis. NSEG contains several approximate flight path optimization capabilities based on Rutowski energy-like criteria for considering minimum time or fuel flight segments and maximum range segments during climb or descent. Takeoff and landing analysis is based on the Air Force Flight Dynamics Laboratory DATCOM method of high lift aerodynamic modelling
Date : 2025-12-23 Size : 147kb User : 李喜

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A combining breadth-first search (BFS) or depth-first search (DFS) with aware range to find minimum connected dominating set A backbone in a Wireless Sensor Network (WSN) reduces the communication overhead, increases the bandwidth efficiency, decreases the overall energy consumption and thus increases network operational life.The nodes in a wireless sensor network forward data towards a sink via other nodes. The limited resources on the nodes require minimum energy to be spent in this energy consuming task. This necessitates a virtual backbone that can minimize the number of hops required to reach the sink assuming that all nodes have equal transmission range. In the wireless domain, this backbone is a minimum connected dominating set. In this paper, I propose using breadth-first search (BFS) or depth-first search (DFS) with given range to find minimum connected dominating set. Please visit: http://iftekharkabir1987.wordpress.com/
Date : 2025-12-23 Size : 170kb User : jonh

DL : 0
实现能量求取,重心求取,最大灰度和最小灰度求取-Realize the energy calculation,the center of gravity and the maxim and the minimum gray calculation
Date : 2025-12-23 Size : 1kb User : 王晓田

DL : 0
最小均方误差等算法的MSE的计算,能量熵的计算,在MATLAB中求图像纹理特征。- Minimum mean square error MSE calculation algorithm, Energy entropy calculation, In the MATLAB image texture feature.
Date : 2025-12-23 Size : 6kb User : qangsaosang

DL : 0
利用能量最小法中的图割法,解决图像分类问题,最大流=最小割(The minimum method of energy in the map cut method to solve the problem of image classification)
Date : 2025-12-23 Size : 26kb User : 111111111111
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