Results 1 to 10 of about 224,212 (245)
Technical Note—Probability of Kill and Expected Destroyed Value if the Underlying Distributions Are Rotationally Symmetric [PDF]
Operations Research, 1976 We derive formulas for the probability of killing a point target and for the expected destroyed value of an area target when the value density function of the area target, the damage function, and the distribution of the center of damage function around the target center are rotationally symmetric. The result generalizes several well-known formulas.
Gerhard Schroeter
semanticscholar +4 more sources
Comparative analysis of kill probability one of the main features of Air Defense Integrated Systems [PDF]
INCAS BULLETIN, 2014 The combat features of the Ground Based Air Defence Systems represent the potential of search, discovery, indicate, combat and destruction of the enemy's air assets and the ability to manoeuvre of forces and combat means, for the purpose of capturing the enemy's airspace and avoid actions and attack to defend objectives (of troops) assigned in the area
SANDRU Vasile, Mircea Boşcoianu
doaj +4 more sources
Letter to the Editor—Kill Probability for Multiple Shots
Operations Research, 1967 A point target is randomly located according to an offset circular normal distribution and remains in its unknown position throughout N independent tosses of a lethal circle. The paper presents integral expressions for the probability of: (1) killing the target at least once in N tosses of the lethal circle; (2) killing the target exactly n times in N
Frank McNolty
semanticscholar +4 more sources
Letter to the Editor—Kill Probability When the Lethal Effect is Variable [PDF]
Operations Research, 1965 Traditionally the probability of killing a point target is analyzed by means of employing a lethal circle (in two dimensions) or a lethal sphere (in three dimensions). The concept of a lethal circle or sphere is based on the assumption of a “kill-no kill” situation in which a target anywhere within the circle (sphere) is killed and a target anywhere ...
Frank McNolty
semanticscholar +4 more sources
선진국방연구, 2023 We conducted simulations to analyze the effects of a hard-kill-type underwater defense system that defends friendly warships against an enemy wake-homing torpedo.
Myoungin Shin, Wooyoung Hong, Jinho Lee
semanticscholar +5 more sources
Antibiotics, 2021 Antibiotic dosing strategies are generally based on systemic drug concentrations. However, drug concentrations at the infection site drive antimicrobial effect, and efficacy predictions and dosing strategies should be based on these concentrations.
Wisse van Os, M. Zeitlinger
semanticscholar +3 more sources
Asymptotics for the survival probability in a killed branching random walk [PDF]
Annales de l'Institut Henri Poincaré, Probabilités et Statistiques, 2011 Consider a discrete-time one-dimensional supercritical branching random walk. We study the probability that there exists an infinite ray in the branching random walk that always lies above the line of slope $ - $, where $ $ denotes the asymptotic speed of the right-most position in the branching random walk.
Nina Gantert, Yueyun Hu, Zhan Shi
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PLoS ONE, 2011 Background Road mortality is probably the best-known and visible impact of roads upon wildlife. Although several factors influence road-kill counts, carcass persistence time is considered the most important determinant underlying underestimates of road ...
Sara Santos +2 more
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Hitting probabilities of killed brownian motion : a study on geometric regularity [PDF]
Annales scientifiques de l'École normale supérieure, 1984 Let \({\mathcal E}\) be a separable Banach space and \((X_ t)_{t\geq 0}\) be the Brownian motion on \({\mathcal E}\). For \(i=0,1\), suppose that \(A_ i\) and \(B_ i\) be non-empty, open and convex subsets of \({\mathcal E}\) and \(V_ i\) be \(-1/2\)-concave (that is, \(V_ i^{-1/2}\) is concave) functions such that \(V_ i;B_ i\to [0,+\infty[\).
Christer Borell
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Where Wolves Kill Moose: The Influence of Prey Life History Dynamics on the Landscape Ecology of Predation [PDF]
PLoS ONE, 2014 The landscape ecology of predation is well studied and known to be influenced by habitat heterogeneity. Little attention has been given to how the influence of habitat heterogeneity on the landscape ecology of predation might be modulated by life history
R. Montgomery +4 more
semanticscholar +2 more sources