in this work, we developed a simple and selective method for separation and spectrophotometric determination of trace amounts of cetylpyridinium chloride (cpc) in pharmaceutical products using cloud point extraction (cpe) technique. the method is based on cloud point extraction of the cpc in alkali conditions using of nonionic surfactant triton x-114. under selected conditions, the calibration ...

To survive in the current shipbuilding industry, it is of vital importance for shipyards to have the ship components’ accuracy evaluated efficiently during most of the manufacturing steps. Evaluating components’ accuracy by comparing each component’s point cloud data scanned by laser scanners and the ship’s design data formatted in CAD cannot be processed efficiently when (1) extract components...

With development of 3D scanner, it becomes more convenient to access point data. However, for processing the large-scale point cloud, it raised a new challenge for computer graphics. This paper places an emphasis on the point data own characteristics, and then the point data have been divided into certain point sets by clustering algorithm, that is will be divided into different clusters. In or...

The objective of this study is to verify the importance of the capabilities of cloud computing services in managing and analyzing big data in business organizations because the rapid development in the use of information technology in general and network technology in particular, has led to the trend of many organizations to make their applications available for use via electronic platforms hos...

Abstract: LIDAR, or laser scanning, is capable of collecting accurate 3D coordinates of scanned points densely and sub-randomly distributed on scanned object surfaces. The huge amount of 3D points implies abundant recessive spatial information which can be turned into dominant information through various data processing methods. To explore valuable spatial information from LIDAR data automatica...

In recent years, three-dimensional imaging techniques have become an increasingly active research area. One of the most common outputs from a three-dimensional imaging system is a point cloud, a collection of points in three-dimensional space. Many techniques exist for generating point clouds, including image-based approaches and LIght Detection And Ranging (Lidar). Point clouds have become inc...

The use of topographic airborne LiDAR data has become an essential part archaeological prospection. However, as a step towards theoretically aware, impactful, and reproducible research, more rigorous transparent method processing is required. To this end, we set out to create pipeline for archaeology-specific point cloud derivation products that are optimized general-purpose data. proposed impr...

Point cloud is a versatile geometric representation that could be applied in computer vision tasks. On account of the disorder point cloud, it challenging to design deep neural network used analysis. Furthermore, most existing frameworks for processing either hardly consider local neighboring information or ignore context-aware and spatially-aware features. To deal with above problems, we propo...

Abundant in coastal areas, sea turtles are affected by high-intensity acoustic anthropogenic sounds. In this article, we offer a pattern-analysis-based detection approach to serve as warning system for the existence of nearby turtles. We focus on challenge overcoming low signal-to-clutter ratio (SCR) caused reverberations. Assuming that, owing SCR, target reflections within point cloud received...