Regression analysis when the underlying regression function has jumps is a research problem with many applications. In practice, jumps often represent structure changes of a related process. Hence, it is important to detect them accurately from observed noisy data. In the literature, there are some jump detectors proposed, most of which are based on local constant or local linear kernel smoothi...

Linux kernel oops is invoked when the kernel detects an erroneous state inside itself. It kills an offending process and allows Linux to continue its operation under a compromised reliability. We investigate how reliable Linux is after a kernel oops in this paper. To investigate the reliability after a kernel oops, we analyze the scope of error propagation through an experimental campaign of fa...

This work studies the effectiveness of using accelerometers to control a service robot. Two modes are proposed, a steering wheel and a movement identification mode. The validation platform is an autonomous cleaning service robot that still needs a local Human Robot Interface. For convenience, accelerometer readings are obtained from the remote command of the Nintendo Wii console. The implementa...

one of the most important problems in geodesy is the unification of height datum. generally in geodesy; there are two types of height systems, the geometrical height based on ellipsoid and the physical height based on gravity-defined surface (zhang et al, 2009).local height datum is determined according to mean sea level (msl). in regarding to mismatch of mean sea level and geoid, on the one ha...

A framework for computational steering of a finite difference code for electromagnetic simulation has been developed and implemented. In computational steering we need to develop software which allows the user to enter an interactive visualization or VR environment and from there control the computation. A proof of concept implementation has been carried out using an existing code for 3D finite...

The integral ∫ L 0 e iνφ(s,t)f (s) ds with a highly oscillatory kernel (large ν, ν is up to 2000) is considered. This integral is accurately evaluated with an improved trapezoidal rule and effectively transcribed using local Fourier basis and adaptive multiscale local Fourier basis. The representation of the oscillatory kernel in these bases is sparse. The coefficients after the application of ...

We provide a systematic analysis of the physical generation of singleand two-qubit quantum operations from Hamiltonians available in various quantum systems for scalable quantum information processing. We show that generation of single-qubit operations can be transformed into a steering problem on the Bloch sphere, which represents all Rz-equivalence classes of single-qubit operations, whereas ...

This contribution considers recent results of population genetics in order to present generic extensions to the general concept of a Genetic Algorithm (GA). Consequently a new model for self-adaptive selection pressure steering is presented (Offspring Selection), taking advantage of the interplay between directed genetic drift and selection, resulting in a new class of Genetic Algorithms. As a ...

Humans have a remarkable ability to navigate using only vision, but mobile robots have not been nearly as successful. We propose a new approach to vision-guided local navigation, based upon a model of human navigation. Our approach uses the relative headings to the goal and to obstacles, the distance to the goal, and the angular width of obstacles, to compute a potential field over the robot he...

A cognitive approach for kinodynamic trajectory planning In this thesis, I present two new contributions. First, I provide DKP: a sample-based approach for trajectory planning. DKP uses a selection/propagation architecture to build an exploration tree in the reachable parts of the environment, guided in an A manner. Solutions are quadratic spline trajectories that are immediately executable by ...