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Journal articles on the topic 'Point cloud recovery'

Author: Grafiati

Published: 24 June 2021

Last updated: 13 February 2022

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1

Barazzetti, Luigi. "Point cloud occlusion recovery with shallow feedforward neural networks." Advanced Engineering Informatics 38 (October 2018): 605–19. http://dx.doi.org/10.1016/j.aei.2018.09.007.

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Liang, Yan, Ye Hua Sheng, and Ka Zhang. "Method on 3D Dense Point Cloud Recovery of Geographical Scene." Advanced Materials Research 748 (August 2013): 619–23. http://dx.doi.org/10.4028/www.scientific.net/amr.748.619.

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The object of this research is to reconstruct 3D dense point cloud of geographical scene. With the technology and method of computer vision , first affine invariant features are extracted and matched, then cameras parameters and 3D dense point cloud are recovered and united under geographical reference. The experimental results show that this method with low cost and high precision of centimeters can satisfy the requirements of measurement, modeling and virtual reality.

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Kresslein, Jacob, Payam Haghighi, Jaejong Park, Satchit Ramnath, Alok Sutradhar, and Jami J. Shah. "Automated cross-sectional shape recovery of 3D branching structures from point cloud." Journal of Computational Design and Engineering 5, no. 3 (2017): 368–78. http://dx.doi.org/10.1016/j.jcde.2017.11.010.

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Abstract Many applications rely on scanned data, which can come from a variety of sources: optical scanners, coordinate measuring machines, or medical imaging. We assume that the data input to these applications is an unorganized point cloud or mesh of vertices. The objective may be to find particular features (medical diagnostics or reverse engineering) or comparison to some reference geometry (e.g. dimensional metrology). This paper focuses on the feature fitting of a segmented point cloud, specifically for branched, organic structures or structural frames, and targets non-monolithic geometr

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Wongwailikhit, Kanda, Pienpak Tasakorn, Pattarapan Prasassarakich, and Makoto Aratono. "Gold Recovery by pH-Switching Process via Cloud Point Extraction." Separation Science and Technology 38, no. 14 (2003): 3591–607. http://dx.doi.org/10.1081/ss-120023420.

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Hillman, Samuel, Luke Wallace, Karin Reinke, Bryan Hally, Simon Jones, and Daisy S. Saldias. "A Method for Validating the Structural Completeness of Understory Vegetation Models Captured with 3D Remote Sensing." Remote Sensing 11, no. 18 (2019): 2118. http://dx.doi.org/10.3390/rs11182118.

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Characteristics describing below canopy vegetation are important for a range of forest ecosystem applications including wildlife habitat, fuel hazard and fire behaviour modelling, understanding forest recovery after disturbance and competition dynamics. Such applications all rely on accurate measures of vegetation structure. Inherent in this is the assumption or ability to demonstrate measurement accuracy. 3D point clouds are being increasingly used to describe vegetated environments, however limited research has been conducted to validate the information content of terrestrial point clouds of

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Fellechner, Oliver, and Irina Smirnova. "Feasibility of packed columns for continuous cloud point extraction with subsequent product recovery." Separation and Purification Technology 258 (March 2021): 118046. http://dx.doi.org/10.1016/j.seppur.2020.118046.

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Chen, Honghua, Mingqiang Wei, Yangxing Sun, Xingyu Xie, and Jun Wang. "Multi-Patch Collaborative Point Cloud Denoising via Low-Rank Recovery with Graph Constraint." IEEE Transactions on Visualization and Computer Graphics 26, no. 11 (2020): 3255–70. http://dx.doi.org/10.1109/tvcg.2019.2920817.

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Hosseinyalamdary, S., and A. Yilmaz. "3D SUPER-RESOLUTION APPROACH FOR SPARSE LASER SCANNER DATA." ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences II-3/W5 (August 19, 2015): 151–57. http://dx.doi.org/10.5194/isprsannals-ii-3-w5-151-2015.

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Laser scanner point cloud has been emerging in Photogrammetry and computer vision to achieve high level tasks such as object tracking, object recognition and scene understanding. However, low cost laser scanners are noisy, sparse and prone to systematic errors. This paper proposes a novel 3D super resolution approach to reconstruct surface of the objects in the scene. This method works on sparse, unorganized point clouds and has superior performance over other surface recovery approaches. Since the proposed approach uses anisotropic diffusion equation, it does not deteriorate the object bounda

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Materna, Katarzyna, Elzbieta Goralska, Anna Sobczynska, and Jan Szymanowski. "Recovery of various phenols and phenylamines by micellar enhanced ultrafiltration and cloud point separation." Green Chemistry 6, no. 3 (2004): 176. http://dx.doi.org/10.1039/b312343j.

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Ribeiro, Bernardo Dias, Daniel Weingart Barreto, and Maria Alice Zarur Coelho. "Recovery of Saponins from Jua (Ziziphus joazeiro) by Micellar Extraction and Cloud Point Preconcentration." Journal of Surfactants and Detergents 17, no. 3 (2013): 553–61. http://dx.doi.org/10.1007/s11743-013-1526-5.

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Kiai, Hajar, Jihane Raiti, Abdelilah El-Abbassi, and Abdellatif Hafidi. "Recovery of phenolic compounds from table olive processing wastewaters using cloud point extraction method." Journal of Environmental Chemical Engineering 6, no. 1 (2018): 1569–75. http://dx.doi.org/10.1016/j.jece.2018.05.007.

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Narayan Kulkarni, Neha, Shital Kumar A. Jain, and . "Survey on Data Integrity, Recovery, and Proof of Retrievability Techniques in Cloud Storage." International Journal of Engineering & Technology 7, no. 3.6 (2018): 55. http://dx.doi.org/10.14419/ijet.v7i3.6.14938.

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Recently the technologies are growing fast, so they have become the point of source and also the sink for data. Data is generated in large volume introducing the concept of structured and unstructured data evolving "Big Data" which needs large memory for storage. There are two possible solutions either increase the local storage or use the Cloud Storage. Cloud makes data available to the user anytime, anywhere, anything. Cloud allows the user to store their data virtually without investing much. However, this data is on cloud raising a concern of data security and recovery. This attack is made

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Weinmann, M., B. Jutzi, C. Mallet, and M. Weinmann. "GEOMETRIC FEATURES AND THEIR RELEVANCE FOR 3D POINT CLOUD CLASSIFICATION." ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences IV-1/W1 (May 30, 2017): 157–64. http://dx.doi.org/10.5194/isprs-annals-iv-1-w1-157-2017.

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In this paper, we focus on the automatic interpretation of 3D point cloud data in terms of associating a class label to each 3D point. While much effort has recently been spent on this research topic, little attention has been paid to the influencing factors that affect the quality of the derived classification results. For this reason, we investigate fundamental influencing factors making geometric features more or less relevant with respect to the classification task. We present a framework which consists of five components addressing point sampling, neighborhood recovery, feature extraction

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Wang, De Wen, and Xiao Meng Liu. "A Solution for Single Point of Failure of Cloud Computing Platform in Electric Power Corporation." Applied Mechanics and Materials 519-520 (February 2014): 1325–28. http://dx.doi.org/10.4028/www.scientific.net/amm.519-520.1325.

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For the lack of computing, storage, information integration and other aspects in traditional electric power computing platform, it is necessary to introduce cloud computing to it and to build a cloud computing platform based on open source Hadoop to meet the requirements of smart grid. As the single point of failure of Hadoop cannot guarantee the high availability that electric power system requires, this paper gives a solution that based on hot standby mechanism and automatically failover controlled by Zookeeper, analyses availability and disaster recovery times to ensure the electric power s

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Madej, Katarzyna, and Karolina Persona. "Drug screening in human plasma by cloud-point extraction and HPLC." Open Chemistry 11, no. 1 (2013): 94–100. http://dx.doi.org/10.2478/s11532-012-0134-y.

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AbstractCloud-point extraction (CPE) with RP-HPLC/DAD detection was used to develop a screen for six model basic drugs (paracetamol, promazine, amitriptyline, nortriptyline, clomipramine and chlorpromazine) in human plasma. These drugs’ varied hydrophobicities entail different affinities for the micelle-rich phase and CPE extraction efficiencies. Extraction recovery (except paracetamol) was above 80% and reproducibility (RSD%) ranged from 2.88 to 10.26 intraday and from 3.12 to 12.33 interday. The limits of detection were: 0.125 µg mL−1 (promazine and chlorpromazine), 0.25 µg mL−1 (amitriptyli

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Hazrina, H. Z., M. S. Noorashikin, S. Y. Beh, S. H. Loh, and N. N. M. Zain. "Formulation of chelating agent with surfactant in cloud point extraction of methylphenol in water." Royal Society Open Science 5, no. 7 (2018): 180070. http://dx.doi.org/10.1098/rsos.180070.

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Cloud point extraction (CPE) is a separation and preconcentration of non-ionic surfactant from one liquid phase to another. In this study, Sylgard 309 and three different types of additives for CPE, namely CPE-Sylgard, CPE-Sylgard-BMIMBr and CPE-Sylgard-GLDA, are investigated to extract methylphenol from water samples. The methylphenols are well separated by reversed-phase high-performance liquid chromatography (HPLC) with isocratic elution of acetonitrile : water; 60 : 40 (v/v) and detection at 260 nm. The optimized parameters for the effect of salt, surfactant, temperature, time of extractio

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Curbelo, F., A. Garnica, and E. Neto. "Salinity Effect in Cloud Point Phenomena by Nonionic Surfactants Used in Enhanced Oil Recovery Tests." Petroleum Science and Technology 31, no. 15 (2013): 1544–52. http://dx.doi.org/10.1080/10916466.2010.547906.

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18

Wang, Zhilong. "Predicting organic compound recovery efficiency of cloud point extraction with its quantitative structure–solubilization relationship." Colloids and Surfaces A: Physicochemical and Engineering Aspects 349, no. 1-3 (2009): 214–17. http://dx.doi.org/10.1016/j.colsurfa.2009.08.010.

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Phasukarratchai, Naphatsarnan, Seelawut Damrongsiri, and Chantra Tongcumpou. "Recovery of phorbol esters from pressed jatropha seeds by surfactant extraction and cloud-point separation." Industrial Crops and Products 95 (January 2017): 549–57. http://dx.doi.org/10.1016/j.indcrop.2016.11.009.

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Joarder, Rajib. "Improvement of a 'SSQuEE' Method for Recovery and Preconcentration of Pesticides from Environmental Samples." Asian Journal of Chemistry 33, no. 10 (2021): 2472–76. http://dx.doi.org/10.14233/ajchem.2021.23235.

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A simple, sensitive, quick, easy and efficient (SSQuEE) analytical technique based on cloud point extraction (CPE) has been developed for the determination of different pesticides present in soil and water with high performance liquid chromatography separation and ultraviolet detection. The environmentally friendliness surfactant like Triton X -100, compared to Tween series of non-ionic surfactant can effectively extract imidacloprid (insecticide), flusilazole (fungicide) and atrazine (herbicide) at cloud point temperature at 67 ºC, 82 ºC and 62 ºC, respectively. To reach the optimum extractio

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Larsen, Michael L., Clarissa A. Briner, and Philip Boehner. "On the Recovery of 3D Spatial Statistics of Particles from 1D Measurements: Implications for Airborne Instruments." Journal of Atmospheric and Oceanic Technology 31, no. 10 (2014): 2078–87. http://dx.doi.org/10.1175/jtech-d-14-00004.1.

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Abstract The spatial positions of individual aerosol particles, cloud droplets, or raindrops can be modeled as a point processes in three dimensions. Characterization of three-dimensional point processes often involves the calculation or estimation of the radial distribution function (RDF) and/or the pair-correlation function (PCF) for the system. Sampling these three-dimensional systems is often impractical, however, and, consequently, these three-dimensional systems are directly measured by probing the system along a one-dimensional transect through the volume (e.g., an aircraft-mounted clou

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Gordon, M., B. Borgmann, J. Gehrung, M. Hebel, and M. Arens. "AD HOC MODEL GENERATION USING MULTISCALE LIDAR DATA FROM A GEOSPATIAL DATABASE." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XL-3/W3 (August 20, 2015): 535–41. http://dx.doi.org/10.5194/isprsarchives-xl-3-w3-535-2015.

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Due to the spread of economically priced laser scanning technology nowadays, especially in the field of topographic surveying and mapping, ever-growing amounts of data need to be handled. Depending on the requirements of the specific application, airborne, mobile or terrestrial laser scanners are commonly used. Since visualizing this flood of data is not feasible with classical approaches like raw point cloud rendering, real time decision making requires sophisticated solutions. In addition, the efficient storage and recovery of 3D measurements is a challenging task. Therefore we propose an ap

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Kojro, Grzegorz, and Piotr Wroczyński. "Cloud Point Extraction in the Determination of Drugs in Biological Matrices." Journal of Chromatographic Science 58, no. 2 (2019): 151–62. http://dx.doi.org/10.1093/chromsci/bmz064.

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Abstract Cloud point extraction (CPE) is a simple, safe and environment-friendly technique used in the preparation of various samples. It was primarily developed for the assessment of environmental samples, especially analyzed for metals. Recently, this technique has been used in the extraction and determination of various chemical compounds (e.g., drugs, pesticides and vitamins), in various matrices (e.g., human plasma, human serum, milk and urine). In this review, we show that CPE is a reliable method of extraction and can be used in analytical laboratories in combination with other techniqu

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de Araújo Padilha, Carlos Eduardo, Juliana Chris Silva de Azevedo, Francisco Canindé de Sousa, et al. "Recovery of polyphenols from camu-camu (Myrciaria dubia H.B.K. McVaugh) depulping residue by cloud point extraction." Chinese Journal of Chemical Engineering 26, no. 12 (2018): 2471–76. http://dx.doi.org/10.1016/j.cjche.2017.10.032.

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Bullinger, S., C. Bodensteiner, and M. Arens. "3D SURFACE RECONSTRUCTION FROM MULTI-DATE SATELLITE IMAGES." International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLIII-B2-2021 (June 28, 2021): 313–20. http://dx.doi.org/10.5194/isprs-archives-xliii-b2-2021-313-2021.

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Abstract. The reconstruction of accurate three-dimensional environment models is one of the most fundamental goals in the field of photogrammetry. Since satellite images provide suitable properties for obtaining large-scale environment reconstructions, there exist a variety of Stereo Matching based methods to reconstruct point clouds for satellite image pairs. Recently, a Structure from Motion (SfM) based approach has been proposed, which allows to reconstruct point clouds from multiple satellite images. In this work, we propose an extension of this SfM based pipeline that allows us to reconst

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Saleh, Noorashikin Md, N. M. Hafiz, and Nik Nur Atiqah NikWee. "Determination of Parabens from Water Samples Using Cloud Point Extraction, Vortex Extraction and Liquid–Liquid Extraction Method Coupled with High Performance Liquid Chromatography." Journal of Computational and Theoretical Nanoscience 17, no. 2 (2020): 765–72. http://dx.doi.org/10.1166/jctn.2020.8717.

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A straightforward and efficient way for extraction of parabens that is methylparaben, ethylparaben, propylparaben and benzylparaben in environmental water samples was developed through optimizing parameters for each method of extraction. In this study, methods involved were cloud point extraction, vortex extraction, and liquid–liquid extraction. The parameters affecting the method of extraction were such as salt concentration, surfactant concentration, type of solvent, temperature, ratio of solvent to water and extraction time. The optimum parameter for cloud point extraction method were 1.0 M

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Collén, Anna, Klaus Selber, Teppo Hyytiä, et al. "Primary recovery of a genetically engineeredTrichoderma reeseiendoglucanase I (Cel 7B) fusion protein in cloud point extraction systems." Biotechnology and Bioengineering 78, no. 4 (2002): 385–94. http://dx.doi.org/10.1002/bit.10232.

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Zhang, Hong, Xiaoyu Yang, Zhaohui Liu, and Yanzhao Yang. "Recovery of Ru(III) from hydrochloric acid by cloud point extraction with 2-Mercaptobenzothiazole-functionalized ionic liquid." Chemical Engineering Journal 308 (January 2017): 370–76. http://dx.doi.org/10.1016/j.cej.2016.09.027.

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Abedi, Shahnaz, and Farzin Nekouei. "Removal of Direct Yellow 12 from Water Samples by Cloud Point Extraction Using Triton X-100 as Nonionic Surfactant." E-Journal of Chemistry 8, no. 4 (2011): 1588–95. http://dx.doi.org/10.1155/2011/207640.

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A surfactant mediated cloud point extraction (CPE) procedure has been developed to remove color from wastewater containing direct yellow 12 (Chrysophenine G), using triton x-100 (TX-100) as nonionic surfactant. The effects of the concentration of the surfactant, pH, temperature and salt concentration on the different concentration of dye have been studied and optimum conditions were obtained for the removal of direct yellow 12 (DY 12). The concentration of DY 12 in the dilute phase was measured using UV-Vis spectrophotometer. It was found that the separation of phases was complete and the reco

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Mousavi, Raziyeh, and Farzin Nekouei. "Cloud Point Extraction of Toxic Reactive Black 5 Dye from Water Samples Using Triton X-100 as Nonionic Surfactant." E-Journal of Chemistry 8, no. 4 (2011): 1606–13. http://dx.doi.org/10.1155/2011/287352.

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A surfactant mediated cloud point extraction (CPE) procedure has been developed to remove color from wastewater containing reactive black 5, using triton x-100 (TX-100) as non-ionic surfactant. The effects of the concentration of the surfactant, pH, temperature and salt concentration on the different concentrations of dye have been studied and optimum conditions were obtained for the removal of reactive black 5 (RB 5). The concentration of RB 5 in the dilute phase was measured using UV-Vis spectrophotometer. It was found that the separation of phases was complete and the recovery of RB 5 was v

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Karadaş, Cennet, and Derya Kara. "A new ligandless cloud point extraction method for preconcentration of iron from natural water samples and FAAS detection." Water Supply 17, no. 5 (2017): 1347–55. http://dx.doi.org/10.2166/ws.2017.035.

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A simple, efficient and inexpensive ligandless cloud point extraction method was developed for the preconcentration of trace amounts of iron from natural water samples, followed by flame atomic absorption spectrometry detection. The proposed method is based on the extraction of Fe(III) ions at pH 7.0 using the non-ionic surfactant Triton X-114 without the addition of any chelating ligand. The effect of parameters influencing the extraction efficiency such as sample pH, concentration of surfactant, incubation temperature and time, concentration of NaCl and sample volume were investigated and op

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Hadi, Hind, and Hawraa M. Abdulkareem. "Determination and Extraction of Carbofuran Pesticide in Different Matrices using Cloud Point Extraction Method." Current Analytical Chemistry 16, no. 3 (2020): 256–62. http://dx.doi.org/10.2174/1573411015666191028114446.

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Background: Pesticides are increasingly used in agriculture and households, but they are also considered a major pollutant to the environment. Carbofuran (CAR; 2,3-dihydro-2,2- dimethylbenzofuran-7-yl methylcarbamate) is a widely used pesticide due to its effectiveness on soybean aphids. Objectives: A simple and green method was suggested for the extraction and determination of CAR in different matrices. Methods: A diazotization reaction involving the use of the drug compound metoclopramide was utilized in this study. A red dye product, which was formed from the diazotization coupling between

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Mohammadzadeh, Mozhgan, Masoud Honarvar, Ali Reza Zarei, Masoud Mashhadi Akbar Boojar, and Hossein Bakhoda. "A new approach for separation and recovery of betaine from beet molasses based on cloud point extraction technique." Journal of Food Science and Technology 55, no. 4 (2018): 1215–23. http://dx.doi.org/10.1007/s13197-017-2999-4.

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Suoranta, Terhi, Oihane Zugazua, Matti Niemelä, and Paavo Perämäki. "Recovery of palladium, platinum, rhodium and ruthenium from catalyst materials using microwave-assisted leaching and cloud point extraction." Hydrometallurgy 154 (April 2015): 56–62. http://dx.doi.org/10.1016/j.hydromet.2015.03.014.

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Liu, Kaifeng, Kouki Nagamune, Keisuke Oe, Ryosuke Kuroda, and Takahiro Niikura. "Migration Measurement of Pins in Postoperative Recovery of the Proximal Femur Fractures Based on 3D Point Cloud Matching." Medicina 57, no. 5 (2021): 406. http://dx.doi.org/10.3390/medicina57050406.

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Background and objectives: Internal fixation is one of the most effective methods for the treatment of proximal femur fractures. The migration of implants after the operation can seriously affect the reduction of treatment and even cause complications. Traditional diagnosis methods can not directly measure the extent of displacement. Methods: Based on the analysis of Hansson pins, this paper proposes a measurement method based on three-dimensional matching, which uses computerized tomography (CT) images of different periods of patients after the operation to analyze the implants’ migration in

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Alibrahim, Moussa. "Cloud Point Extraction of Direct Blue 71 Dye using Triton X-100 as Nonionic Surfactant." Tenside Surfactants Detergents 58, no. 1 (2021): 27–32. http://dx.doi.org/10.1515/tsd-2018-2091.

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Abstract A surfactant-mediated cloud point extraction (CPE) method using the non-ionic surfactant Triton X-100 (TX-100) has been developed to remove the dye Direct Blue 71 (DB71) from a waste water. Most of the dye molecules are solubilized in the coacervate phase so that the dilute phase remains free of the dye. The effects of surfactant concentration, temperature and salt concentration on the different dye concentrations were studied to determine the optimal conditions for removing DB71. The concentration of DB71 in the dilute phase was measured using UV-Vis spectrophotometer. It was found t

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Novo, A., H. González-Jorge, J. Martínez-Sánchez, and H. Lorenzo. "REMOTE SENSING APPROACH TO EVALUATE POST-FIRE VEGETATION STRUCTURE." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLIII-B3-2020 (August 21, 2020): 1031–38. http://dx.doi.org/10.5194/isprs-archives-xliii-b3-2020-1031-2020.

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Abstract. Spain is included in the top five European countries with the highest number of wildfires. Forest fire can produce significant impacts on the structure and functioning of natural ecosystems. After a forest fire, the evaluation of the damage severity and spatial patterns are important for forest recovery planning, which plays a critical role in the sustainability of the forest ecosystem. The process of forest recovery and the ecological and physiological functions of the burned forest area should be continuously monitored. Remote sensing technologies and in special LiDAR are useful to

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Griesbaum, Luisa, Sabrina Marx, and Bernhard Höfle. "Direct local building inundation depth determination in 3-D point clouds generated from user-generated flood images." Natural Hazards and Earth System Sciences 17, no. 7 (2017): 1191–201. http://dx.doi.org/10.5194/nhess-17-1191-2017.

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Abstract. In recent years, the number of people affected by flooding caused by extreme weather events has increased considerably. In order to provide support in disaster recovery or to develop mitigation plans, accurate flood information is necessary. Particularly pluvial urban floods, characterized by high temporal and spatial variations, are not well documented. This study proposes a new, low-cost approach to determining local flood elevation and inundation depth of buildings based on user-generated flood images. It first applies close-range digital photogrammetry to generate a geo-reference

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Karim, U., H. C. Inyiama, and R. Karim. "User-Centric Cyber Disaster Recovery as a Service." NIGERIAN ANNALS OF PURE AND APPLIED SCIENCES 1 (December 30, 2019): 238–46. http://dx.doi.org/10.46912/napas.126.

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In a world of interdependent economies and online transactions, a large volume of data hosted on the cyberspace a daily bases. Cyber threats and attacks are steadily increasing. Most time, these threats and attacks are targeted at service providers but service users are greatly affected by the attacks due to their vulnerability level. When disasters knockdown the infrastructures of a single service provider, it will have ripple effects on thousands of innocent service users. Therefore, service users need more than ever to prepare for major crises targeted at their service providers. To cope wi

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Akita, Shigendo, Miquel Rovira, Ana M. Sastre, and Hiroshi Takeuchi. "Cloud-Point Extraction of Gold(lll) with Nonionic Surfactant—Fundamental Studies and Application to Gold Recovery from Printed Substrate." Separation Science and Technology 33, no. 14 (1998): 2159–77. http://dx.doi.org/10.1080/01496399808545721.

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Chen, Xin, Hong Zhao, and Ping Zhou. "Lung Lobe Segmentation Based on Lung Fissure Surface Classification Using a Point Cloud Region Growing Approach." Algorithms 13, no. 10 (2020): 263. http://dx.doi.org/10.3390/a13100263.

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In anatomy, the lung can be divided by lung fissures into several pulmonary lobe units with specific functions. Identifying the lung lobes and the distribution of various diseases among different lung lobes from CT images is important for disease diagnosis and tracking after recovery. In order to solve the problems of low tubular structure segmentation accuracy and long algorithm time in segmenting lung lobes based on lung anatomical structure information, we propose a segmentation algorithm based on lung fissure surface classification using a point cloud region growing approach. We cluster th

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Lee, Seung-Joong, and Sung-Oong Choi. "Analyzing the Stability of Underground Mines Using 3D Point Cloud Data and Discontinuum Numerical Analysis." Sustainability 11, no. 4 (2019): 945. http://dx.doi.org/10.3390/su11040945.

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This study describes a precise numerical analysis process by adopting the real image of mine openings obtained by light detection and ranging (LiDAR), which can produce a point cloud data by measuring the target surface numerically. The analysis target was a section of an underground limestone mine, to which a hybrid room-and-pillar mining method that was developed to improve ore recovery was applied. It is important that the center axis and the volume of the vertical safety pillar in the lower parts match those in the upper parts. The 3D survey of the target section verified that the center a

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Soylak, Mustafa, Erkan Yilmaz, Mehrorang Ghaedi, Mortaza Montazerozohori, and Marjan Sheibani. "Cloud Point Extraction and Flame Atomic Absorption Spectrometry Determination of Lead (II) in Environmental and Food Samples." Journal of AOAC INTERNATIONAL 95, no. 6 (2012): 1797–802. http://dx.doi.org/10.5740/jaoacint.10-370.

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Abstract A cloud point extraction procedure for the preconcentration of Pb2+ in various samples following complexation with 2,2-(1E,1′E)-1,1′-(2,2′-azanediylbis(ethane-2,1-diyl)bis(azan-1-yl-1-ylidene)) bis(ethan-1-yl-1-ylidene)diphenol in Triton X-114 after centrifugation is reported. A 0.5 mL portion of methanol acidified with 1.0 M HNO3 was added to the surfactant-rich phase prior to analysis by flame atomic absorption spectrometry. The influence of analytical parameters—including pH, concentrations of ligand, Triton X-114, and HNO3, bath temperature, heating time, and centrifugation rate a

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Ning, Jinyan, Yang Jiao, Jiao Zhao, Lifen Meng, and Yaling Yang. "Cloud point extraction–flame atomic absorption spectrometry method for preconcentration and determination of trace cadmium in water samples." Water Science and Technology 70, no. 4 (2014): 605–11. http://dx.doi.org/10.2166/wst.2014.263.

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A method based on cloud point extraction (CPE) separation/preconcentration of trace cadmium (Cd) as a prior step to its determination by flame atomic absorption spectrometry has been developed. Cadmium reacted with 8-hydroxyquinoline to form hydrophobic chelates, which were extracted into the micelles of nonionic surfactant oligoethylene glycol monoalkyl ether (Genapol X-080) in an alkaline medium. Octanol was used to depress the cloud point of Genapol X-080 in the extraction process. The chemical variables that affect the CPE, such as pH of complexation reaction, amount of chelating agent, Ge

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Gniazdowska, Elżbieta, Natalia Korytowska, Grzegorz Kłudka, and Joanna Giebułtowicz. "Determination of Antidepressants in Human Plasma by Modified Cloud-Point Extraction Coupled with Mass Spectrometry." Pharmaceuticals 13, no. 12 (2020): 458. http://dx.doi.org/10.3390/ph13120458.

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Cloud-point extraction (CPE) is rarely combined with liquid chromatography coupled to mass spectrometry (LC–MS) in drug determination due to the matrix effect (ME). However, we have recently shown that ME is not a limiting factor in CPE. Low extraction efficiency may be improved by salt addition, but none of the salts used in CPE are suitable for LC–MS. It is the first time that the influences of a volatile salt—ammonium acetate (AA)—on the CPE extraction efficiency and ME have been studied. Our modification of CPE included also the use of ethanol instead of acetonitrile to reduce the sample v

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H.L., Meghana, Asish Oommen Mathew, and Lewlyn L. R. Rodrigues. "Prioritizing the factors affecting cloud ERP adoption – an analytic hierarchy process approach." International Journal of Emerging Markets 13, no. 6 (2018): 1559–77. http://dx.doi.org/10.1108/ijoem-10-2017-0404.

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Purpose In today’s competitive world, the adoption of cloud enterprise resource planning (ERP) has become one of the critical criteria for running a successful business. In this regard, knowing the factors that influence cloud ERP adoption plays a significant role. The purpose of this paper is to rank the factors influencing the cloud ERP adoption in multi-national companies (MNCs) in India. This research would enable the cloud ERP vendors to identify the expectations of MNC customers and develop suitable strategies. Design/methodology/approach The research is being conducted among the cloud E

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Gnanesh, K. E., T. Dheeraj Bhavan Narayana, and M. D. Kamalesh. "Retrieval of Encrypted Data Using Trapdoor Method in Cloud Computing." Journal of Computational and Theoretical Nanoscience 16, no. 8 (2019): 3237–41. http://dx.doi.org/10.1166/jctn.2019.8169.

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Cloud computing is a well-known innovation which licenses putting away and getting to information over Internet as opposed to putting away it on nearby machines’ hard drive. Cloud clients can empower to store their information on cloud with no nervousness about its exactness and dependability. Anyway putting away information on cloud forces certain security challenges. Redistributing information in cloud result may lose physical authority over their information. Putting away and recovering such a lot of information devours part of time as information in the cloud should be constantly put away

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Shyam Sunder, Govind Sharma, Sandhya Adhikari, Ahmad Rohanifar, Abiral Poudel, and Jon R. Kirchhoff. "Evolution of Environmentally Friendly Strategies for Metal Extraction." Separations 7, no. 1 (2020): 4. http://dx.doi.org/10.3390/separations7010004.

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The demand for the recovery of valuable metals and the need to understand the impact of heavy metals in the environment on human and aquatic life has led to the development of new methods for the extraction, recovery, and analysis of metal ions. With special emphasis on environmentally friendly approaches, efforts have been made to consider strategies that minimize the use of organic solvents, apply micromethodology, limit waste, reduce costs, are safe, and utilize benign or reusable materials. This review discusses recent developments in liquid- and solid-phase extraction techniques. Liquid-b

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Gebrehiwot, A., and L. Hashemi-Beni. "A METHOD TO GENERATE FLOOD MAPS IN 3D USING DEM AND DEEP LEARNING." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLIV-M-2-2020 (November 17, 2020): 25–28. http://dx.doi.org/10.5194/isprs-archives-xliv-m-2-2020-25-2020.

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Abstract. High-resolution remote sensing imagery has been increasingly used for flood applications. Different methods have been proposed for flood extent mapping from creating water index to image classification from high-resolution data. Among these methods, deep learning methods have shown promising results for flood extent extraction; however, these two-dimensional (2D) image classification methods cannot directly provide water level measurements. This paper presents an integrated approach to extract the flood extent in three-dimensional (3D) from UAV data by integrating 2D deep learning-ba

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Hadj Youcef, M., T. Benabdallah, and H. Reffas. "Cloud point extraction studies on recovery of nickel(II) from highly saline sulfate medium using salicylideneaniline mono-Schiff base chelating extractant." Separation and Purification Technology 149 (July 2015): 146–55. http://dx.doi.org/10.1016/j.seppur.2015.05.034.

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