Kubernetes, a container orchestrator for cloud-deployed applications, allows the application provider to scale automatically match fluctuating intensity of processing demand. Container cluster technology is used encapsulate, isolate, and deploy addressing issue low system reliability due interlocking failures. Cloud-based platforms usually entail users define resource supplies eco virtualizatio...

Calibration of surveillance cameras requires using appropriate methods to handle different limitations, such as large distortion of the camera lenses, because of a wide field of view. Another limitation is blur in the image which can decrease the sharpness because of fixed focus lenses. To deal with these limitations a fully automatic calibration method from Svoboda is compared with a specializ...

Introduction: The position estimation in gamma detection system will have constant misplacements which can be corrected in the calibration procedure. In the pixelated crystal uniformly irradiation of detector will produce irregular shape due to position estimation errors. This image is called flood field image and is used to calibrate the position estimation. In this work we pr...

The reliability of the results obtained from instruments calibration is a problem frequently found in the calibration laboratories, especially when these instruments are mechanical and do not have a built-in communication interface. In this case, the time consuming is increased significantly and the calibration may be subject to human error. In this paper, a machine vision based system for auto...

In this paper, we present two methods for calibration of acceleration sensors that are inexpensive, in-situ, require minimum user interaction and are targeted to a broad set of acceleration sensor applications and devices. We overcome the necessity of orthogonal axes alignment by extending existing calibration methods with a non-orthogonal axes model. Our non-orthogonal method can furthermore b...

We present a self-identifying marker pattern for camera calibration, together with the associated detection algorithm. The pattern is designed to support high-precision, fully-automatic localization of calibration points, as well as identification of individual markers in the presence of significant occlusions, uneven illumination, and observations under extremely acute angles. The detection al...

PURPOSE Prostate cancer brachytherapy relies on an accurate spatial registration between the implant needles and the TRUS image, called "calibration". The authors propose a new device and a fast, automatic method to calibrate the brachytherapy system in the operating room, with instant error feedback. METHODS A device was CAD-designed and precision-engineered, which mechanically couples a cal...

[1] A new global optimization algorithm, dynamically dimensioned search (DDS), is introduced for automatic calibration of watershed simulation models. DDS is designed for calibration problems with many parameters, requires no algorithm parameter tuning, and automatically scales the search to find good solutions within the maximum number of user-specified function (or model) evaluations. As a re...

Population-based search methods such as evolutionary algorithm, shuffled complex algorithm, simulated annealing and ant colony search are increasing used as automatic calibration methods for a wide range of water and environmental simulation models. However, despite the advances in computer power, it may still be impractical to rely exclusively on computationally expensive (time consuming) simu...

Adjoint Algorithmic Differentiation is an efficient way to obtain price derivatives with respect to the data inputs. We describe how the process efficiency can be further improved when a model calibration is performed. Using the implicit function theorem, differentiating the numerical process used in calibration is not required. The resulting implementation is more efficient than automatic diff...