A path π = (v1, v2, . . . , vk+1) in a graph G = (V,E) is a downhill path if for every i, 1 ≤ i ≤ k, deg(vi) ≥ deg(vi+1), where deg(vi) denotes the degree of vertex vi ∈ V. The downhill domination number equals the minimum cardinality of a set S ⊆ V having the property that every vertex v ∈ V lies on a downhill path originating from some vertex in S. We investigate downhill domination numbers o...

We present an approach for registering an aerial Digital Elevation Model (DEM) with a color intensity image obtained using a camera mounted on a mobile robot. An approximate measurement of the camera pose is obtained using auxiliary sensors on-board the robot. The DEM is transformed into a depth map in the camera’s coordinate system using this initial pose. The problem is now simplified to the ...

The immense development rate of wireless technologies has also brought new requirements for the RF design of transmitters. The design challenge is to optimize multiband devices with minimal dimensions and weight as well as an appealing appearance, which nevertheless operate well within varyingly complex environments such as frequently changing positions within the closest vicinity of the human ...

We consider the perturbation of giant gravitons in the background of dilatonic D-branes whose geometry is not of a conventional form of AdSm×S. We use the quadratic approximation to the brane action to investigate their vibrations around the equilibrium configuration. We found the normal modes of small vibrations of giant gravitons and these vibrations are turned out to be stable. Electronic ad...

In order to improve the downhill regenerative braking control effect of hybrid electric vehicle (HEV), this paper designs a method for (HEV). Firstly, structures system, auxiliary system and eddy current retarder (ECR) are analyzed. Secondly, torque ECR when HEV is calculated. Then, process dynamically analyzed, force distribution constraint realized according relevant laws regulations. Finally...

Linear programming has many important practical applications, and has also given rise to a wide body of theory. See Section 50.9 for recommended sources. Here we consider the linear programming problem in the form of maximizing a linear function of d variables subject to n linear inequalities. We focus on the relationship of the problem to computational geometry, i.e., we consider the problem i...

During eccentrically biased exercise (e.g., downhill locomotion), whole body oxygen consumption and blood lactate concentrations are lower than during level locomotion. These general systemic measurements indicate that muscle metabolism is lower during downhill exercise. This study was designed to test the hypothesis that hindlimb muscle blood flow is correspondingly lower during downhill vs. l...

Background: The diagnosis of herpes simplex virus may requirevirological confirmation. Tzanck smear is an old, rapid, costeffective but nonspecific method that has been recently re-evaluatedas a method for the diagnosis of herpes virus infection. This studywas conducted to compare Tzanck smear and viral culture in thediagnosis of herpes simplex virus infection in patients clinicallysuspected to...

Markov Random Fields (MRF) minimization is a well-known problem in computer vision. We consider the augmented dual of the MRF minimization problem and develop a Mirror Descent algorithm based on weighted Entropy and Euclidean Projection. The augmented dual problem consists of maximizing a non-differentiable objective function subject to simplex and linear constraints. We analyze the convergence...

To understand how simplex solves a general linear programming problem, we need to know the answers to a number of questions: • How to determine if a minimum feasible solution has been found? • Which basic variable should become non-basic at a pivot step? • Which nonbasic variable is to enter the basis at a pivot step? • How to find an initial basic feasible solution to start simplex? We already...