Mobile cloud computing (MCC) is a new technology that has been developed to overcome the restrictions of smart mobile devices (e.g. battery, processing power, storage capacity, etc.) to send a part of the program (with complex computing) to the cloud server (CS). In this paper, we study a multi-cell with multi-input and multi-output (MIMO) system in which the cell-interior users request service...

there exist a number of factors that affect the quality laser scanner. in other words, the accuracy of a terrestrial scanner is limited extensively by systematic errors and thus must be calibrated. indeed, calibration is a prerequisite for obtaining 3d precise and reliable data from point clouds. until now, several models have been proposed to improve the accuracy of laser scanner data, most of...

3D object recognition is a basic research in the machine vision field. Microsoft KINECT V2 is utilized to collect external environmental information. The point cloud file is obtained after processing the collected information. In order to filter the point cloud and obtain point cloud model of a single object in the environment after region growing segmentation, the point cloud is applied to poi...

This paper presents an algorithm for reconstructing a triangle mesh surface from a given point cloud. Starting with a seed triangle, the algorithm grows a partially reconstructed triangle mesh by selecting a new point based on an intrinsic property of the point cloud, namely, the sampling uniformity degree. The reconstructed mesh is essentially an approximate minimum-weight triangulation to the...

Object identification and object processing in 3D point clouds have always posed challenges in terms of effectiveness and efficiency. In practice, this process is highly dependent on human interpretation of the scene represented by the point cloud data, as well as the set of modeling tools available for use. Such modeling algorithms are data-driven and concentrate on specific features of the ob...

The evolution of 3D scanning devices and innovation in computer processing power and storage capacity has sparked the revolution of producing big point-cloud datasets. This phenomenon has becoming an integral part of the sophisticated building design process especially in the era of 4 Industrial Revolution. The big point-cloud datasets have caused complexity in handling surface reconstruction a...

3d imagination of human's organs has become feasible by digital image processing techniques and algorithms via ct or mri images in recent years. in this study, a new method for reverse engineering and biomodelling of hard tissues by catia cloud points' concept has been considered. comparing with the current softwares (e.g. biobuild or mimics) has shown the new method's easiness of implementing ...

pb and cd in water samples were determined by cloud point extraction (cpe) with sodiumdiethyldithiocarbamate (ddtc) as the chelating agent and octylphenoxypolyethanl (triton x-114) asthe surfactant prior to flame atomic absorption spectrometry (faas) determination. the main factorsof affecting the extraction and detection processes were optimized. the preconcentration of 10 ml ofstandard soluti...