Occupational Noise Reduction in CNC Striping Process
نویسندگان
چکیده
منابع مشابه
Reduction of Uncorrelated Striping Noise - Applications for Hyperspectral Pushbroom Acquisitions
Hyperspectral images are of increasing importance in remote sensing applications. Imaging spectrometers provide semi-continuous spectra that can be used for physics based surface cover material identification and quantification. Preceding radiometric calibrations serve as a basis for the transformation of measured signals into physics based units such as radiance. Pushbroom sensors collect inci...
متن کاملReduction of Striping Noise in Overlapping Lidar Intensity Data by Radiometric Normalization
To serve seamless mapping, airborne LiDAR data are usually collected with multiple parallel strips with one or two cross strip(s). Nevertheless, the overlapping regions of LiDAR data strips are usually found with unbalanced intensity values, resulting in the appearance of stripping noise. Despite that physical intensity correction methods are recently proposed, some of the system and environmen...
متن کاملTracking Error Reduction in CNC Machining
In this paper, a method of reducing the tracking error in CNC machining is proposed. The structured neural network is used to approximate the discontinuous friction in CNC machining, which has jump points and uncertainties. With the estimated nonlinear friction function, the reshaped trajectory can be computed from the desired one by solving a second order ODE such that when the reshaped trajec...
متن کاملDesigning Tolerance Chart and Process for CNC Machining Parts
The map and the model designed by a designer and presented to a manufacturer in the form of a map is the result of his knowledge and innovation. The manufacturer, in turn, uses his best effort to produce a part accordingly. However, because of production problems and raw material, producing a precise part is very difficult and costly. One of the most important problems in this regard is designi...
متن کاملShearlet-Based Adaptive Noise Reduction in CT Images
The noise in reconstructed slices of X-ray Computed Tomography (CT) is of unknown distribution, non-stationary, oriented and difficult to distinguish from main structural information. This requires the development of special post-processing methods based on the local statistical evaluation of the noise component. This paper presents an adaptive method of reducing noise in CT images employing th...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: IOP Conference Series: Materials Science and Engineering
سال: 2018
ISSN: 1757-8981,1757-899X
DOI: 10.1088/1757-899x/319/1/012034