Relevant bibliographies by topics / Ion clouds

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Ion clouds'

Author: Grafiati
Published: 4 June 2021
Last updated: 15 February 2022

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Journal articles on the topic "Ion clouds"

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Tamura, M., T. Nagata, S. Sato, et al. "Magnetic Field Structure in Dark Clouds." Symposium - International Astronomical Union 115 (1987): 48–50. http://dx.doi.org/10.1017/s0074180900094808.

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The magnetic field geometry in the central regions of two dark clouds has been mapped by measuring the polarization at 2.2 μm of background stars and of stars embedded in the clouds. The observations were done with the Kyoto polarimeter on the Agematsu 1m IR telescope in December 1984 for Heiles Cloud 2 in the Taurus dark cloud complex, and on the UKIRT 3.8m in May and July 1985 for the ρ Ophiuchus dark cloud core. The main results are: i)Most of the stars in both regions show polarization and their maxima are 2.7% in Heiles Cloud 2 and 7.6% in ρ Oph, respectively. There are similar positive r
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Baum, Carl E. "Motion of Ion Clouds in Air." Electromagnetics 7, no. 3-4 (1987): 253–65. http://dx.doi.org/10.1080/02726348708908185.

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Smith, David. "The ion chemistry of interstellar clouds." Chemical Reviews 92, no. 7 (1992): 1473–85. http://dx.doi.org/10.1021/cr00015a001.

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Nikolic, S. "HCO+ in dark molecular clouds." Serbian Astronomical Journal, no. 175 (2007): 1–6. http://dx.doi.org/10.2298/saj0775001n.

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Formyl ion is one of the most important molecules, and primary molecular ion to be found in molecular clouds. This paper reviews chemical pathways of formation and destruction of the molecule, as well as its use as a tool in the study of dark molecular clouds.
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Zhou, Limin, and Brian A. Tinsley. "Global Circuit Model with Clouds." Journal of the Atmospheric Sciences 67, no. 4 (2010): 1143–56. http://dx.doi.org/10.1175/2009jas3208.1.

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Abstract Cloud data from the International Satellite Cloud Climatology Project (ISCCP) database have been introduced into the global circuit model developed by Tinsley and Zhou. Using the cloud-top pressure data and cloud type information, the authors have estimated the cloud thickness for each type of cloud. A treatment of the ion pair concentration in the cloud layer that depends on the radii and concentration of the cloud droplets is used to evaluate the reduction of conductivity in the cloud layer. The conductivities within typical clouds are found to be in the range of 2%–5% of that of cl
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Zhou, Xiaoyu, Xinwei Liu, Wenbo Cao, et al. "Study of In-Trap Ion Clouds by Ion Trajectory Simulations." Journal of The American Society for Mass Spectrometry 29, no. 2 (2017): 223–29. http://dx.doi.org/10.1007/s13361-017-1814-9.

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Høymork, S. H., M. Yamauchi, Y. Ebihara, Y. Narita, O. Norberg, and D. Winningham. "Dense ion clouds of 0.1 − 2 keV ions inside the CPS-region observed by Astrid-2." Annales Geophysicae 19, no. 6 (2001): 621–31. http://dx.doi.org/10.5194/angeo-19-621-2001.

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Abstract. Data from the Astrid-2 satellite taken between April and July 1999 show several examples of dense ion clouds in the 0.1–2 keV energy range inside the inner mag-netosphere, both in the northern and southern hemispheres. These inner magnetospheric ion clouds are found predomi-nantly in the early morning sector, suggesting that they could have originated from substorm-related ion injections on the night side. However, their location and density show no cor-relation with Kp, and their energy-latitude dispersion is not easily reproduced by a simple particle drift model. There-fore, these
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Siemers, I., R. Blatt, Th Sauter, and W. Neuhauser. "Dynamics of ion clouds in Paul traps." Physical Review A 38, no. 10 (1988): 5121–28. http://dx.doi.org/10.1103/physreva.38.5121.

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Gnat, Orly, Amiel Sternberg, and Christopher F. McKee. "METAL-ION ABSORPTION IN CONDUCTIVELY EVAPORATING CLOUDS." Astrophysical Journal 718, no. 2 (2010): 1315–31. http://dx.doi.org/10.1088/0004-637x/718/2/1315.

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Cohen, R. H., A. Friedman, M. Kireeff Covo, et al. "Simulating electron clouds in heavy-ion accelerators." Physics of Plasmas 12, no. 5 (2005): 056708. http://dx.doi.org/10.1063/1.1882292.

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Dissertations / Theses on the topic "Ion clouds"

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Donald, Charles. "Development of an ion trap quantum information processor." Thesis, University of Oxford, 2000. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.365800.

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Lunney, Matthew David Norwood. "The phase space volume of ion clouds in Paul traps." Thesis, McGill University, 1992. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=39462.

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A new technique is presented for measuring the spatial and momentum distributions of a buffer-gas cooled ion cloud in a Paul trap by extracting it from the trap and fitting the time profile of the extracted ion signal. A thermodynamic model based on the Gibbs distribution has been developed which describes the initial ion cloud phase space volume and fits the measured time distributions of the extracted cloud using only one parameter: temperature. A time-of-flight system has been built to systematically vary the ion extraction conditions and compare predictions of the model to various measurem
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Cazan, Radu Mircea [Verfasser]. "Preparation of cold Mg+ ion clouds for sympathetic cooling of highly charged ions at SPECTRAP / Radu Mircea Cazan." Mainz : Universitätsbibliothek Mainz, 2012. http://d-nb.info/1021243302/34.

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Petrie, Simon Antony Hudson. "A selected-ion flow tube study of some gas-phase ion-molecule reactions of potential relevance to the chemistry of dense interstellar clouds." Thesis, University of Canterbury. Chemistry, 1991. http://hdl.handle.net/10092/7253.

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Results are reported for the studies of several systems of ion-molecule reactions of potential relevance to the chemistry of interstellar clouds. Measurements were obtained using a selected-ion flow tube operated at room temperature (300 ± 5 K) and using helium buffer gas at a pressure of 0.30 ± 0.01 Torr. The proton affinities of C₄H₂ and C₂N₂ were determined by measurement of the rate coefficients for forward and reverse proton transfer reactions involving compounds of similar proton affinity. The results obtained were P A(C₂N₂) = 674 ± 4 kJ mol-¹ and PA(C₄H₂) = 741 ± 4 kJ mol-¹: this latte
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Steinmann, Jochen [Verfasser], and Günter [Gutachter] Zwicknagel. "Analytical and numerical investigations of resistive cooling of trapped ion clouds / Jochen Steinmann ; Gutachter: Günter Zwicknagel." Erlangen : Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), 2016. http://d-nb.info/1117220524/34.

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Young, Gillian. "Understanding the nucleation of ice particles in polar clouds." Thesis, University of Manchester, 2017. https://www.research.manchester.ac.uk/portal/en/theses/understanding-the-nucleation-of-ice-particles-in-polar-clouds(4f80f81b-ed06-480a-944b-6e3594ba8471).html.

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Arctic clouds are poorly represented in numerical models due to the complex, small-scale interactions which occur within them. Modelled cloud fractions are often significantly less than observed in this region; therefore, the radiative budget is not accurately simulated and forecasts of the melting cryosphere are fraught with uncertainty. Our ability to accurately model Arctic clouds can be improved through observational studies. Recent in situ airborne measurements from the springtime Aerosol-Cloud Coupling and Climate Interactions in the Arctic (ACCACIA) campaign are presented in this thesis
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Axelsson, Markus, and Oskar Lundgren. "Raytelligent Cloud." Thesis, Högskolan i Halmstad, Akademin för ekonomi, teknik och naturvetenskap, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:hh:diva-33567.

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I dagens samhälle blir fler och fler enheter uppkopplade mot Internet vilket kan ge en annars begränsad hårdvara möjlighet att genomföra större beräkningar. Detta projekt avser att skapa ett system som hanterar en användares radarenheter i ett molnbaserat system. Systemet erbjuder även möjligheten att ladda upp användarens egna applikationer vilka använder data från radarenheten, körs på virtuella maskiner och vid behov har möjlighet att skicka notiser till användarens mobila applikationer. För att underlätta utveckling har systemet delats upp i tre delsystem. Dessa är rada
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Chang, Ouliang. "Numerical Simulation of Ion-Cyclotron Turbulence Generated by Artificial Plasma Cloud Release." Thesis, Virginia Tech, 2009. http://hdl.handle.net/10919/34018.

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Possibilities of generating plasma turbulence to provide control of space weather processes have been of particular interest in recent years. Such turbulence can be created by chemical released into a magnetized background plasma. The released plasma clouds are heavy ions which have ring velocity distribution and large free energy to drive the turbulence. An electromagnetic hybrid (fluid electrons and particle ions) model incorporating electron inertia is developed to study the generation and nonlinear evolution of this turbulence. Fourier pseudo-spectral methods are combined with finite diffe
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Martello, Rosanna. "Cloud storage and processing of automotive Lithium-ion batteries data for RUL prediction." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2021.

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Lithium-ion batteries are the ideal choice for electric and hybrid vehicles, but the high cost and the relatively short life represent an open issue for automotive industries. For this reason, the estimation of battery Remaining Useful Life (RUL) and the State of Health (SoH) are primary goals in the automotive sector. Cloud computing provides all the resources necessary to store, process and analyze all sensor data coming from connected vehicles in order to develop Predictive Maintenance tasks. This project describes the work done during my internship at FEV Italia s.r.l. The aims were desig
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Gamelin, Alexis. "Collective effects in a transient microbunching regime and ion cloud mitigation in ThomX." Thesis, Université Paris-Saclay (ComUE), 2018. http://www.theses.fr/2018SACLS276/document.

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La thèse est axée sur l'étude des effets collectifs dans un anneau de stockage d'électrons de 50 MeV, ThomX, en l'absence d'amortissement synchrotron et d’adaptation longitudinale. Cette thèse est divisée en deux parties distinctes. La première partie correspond à la conception du modèle d'impédance (champ de sillage géométrique, résistif et rayonnement synchrotron cohérent) de l'anneau de stockage afin de simuler la dynamique faisceau. Le modèle d'impédance géométrique de l'anneau de stockage a été obtenu par la simulation des éléments individuels et a été vérifié en utilisant des mesures RF
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Books on the topic "Ion clouds"

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Workshop on Ion-Aerosol-Cloud Interactions (2001 Geneva, Switzerland). Workshop on Ion-Aerosol-Cloud Interactions: CERN, Geneva, Switzerland, 18-20 April 2001 : proceedings. Edited by Kirkby J and European Organization for Nuclear Research. CERN, 2001.

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Galvin, Matthew. Clouds and clocks: A story for children who soil. Magination Press, 1989.

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Hessell, Jenny. Clouds. SRA School Group, 1994.

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Parks, Stephen Alan. Clouds. Poetry Pals, 1998.

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Taylor, Richard S. Skies & clouds. Collins & Brown, 2003.

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Parrott, Leslie L. Marshmallow clouds. Zonderkidz, 2003.

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Susan, Hill. The service of clouds. Chatto & Windus, 1998.

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Susan, Hill. The service of clouds. Vintage, 1999.

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Falconer, Delia. The service of clouds. Picador, 1999.

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The service of clouds. Picador, 1999.

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Book chapters on the topic "Ion clouds"

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Ferguson, Eldon E. "Ion Molecule Reactions in Interstellar Molecular Clouds." In Molecular Astrophysics. Springer Netherlands, 1985. http://dx.doi.org/10.1007/978-94-009-5432-8_19.

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Hou, Jidong, Yiqiu Wang, and Donghai Yang. "A Statistic Model for Ion Clouds in Paul Traps." In Frontiers of Laser Physics and Quantum Optics. Springer Berlin Heidelberg, 2000. http://dx.doi.org/10.1007/978-3-662-07313-1_41.

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Turner, B. E., John Bally, T. Amano, S. Lee, and P. A. Feldman. "New observational tests of ion-molecule chemistry: HC3NH+ and PN." In Molecular Clouds in the Milky Way and External Galaxies. Springer Berlin Heidelberg, 1988. http://dx.doi.org/10.1007/3-540-50438-9_257.

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Blatt, R., I. Siemers, M. Schubert, T. Sauter, and W. Neuhauser. "Kinetic Energy and Spatial Distribution of Ion Clouds in Paul Traps." In Frequency Standards and Metrology. Springer Berlin Heidelberg, 1989. http://dx.doi.org/10.1007/978-3-642-74501-0_94.

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Sauter, Th, W. Neuhauser, R. Blatt, and P. E. Toschek. "Quantum Jumps and Related Phenomena of Single Ions and Small Ion Clouds." In Laser Spectroscopy VIII. Springer Berlin Heidelberg, 1987. http://dx.doi.org/10.1007/978-3-540-47973-4_32.

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Venzac, Hervé, Karine Sellegri, and Paolo Laj. "The Effect of Clouds on Ion Clusters and Aerosol Nucleation at 1,465 m a.s.l." In Nucleation and Atmospheric Aerosols. Springer Netherlands, 2007. http://dx.doi.org/10.1007/978-1-4020-6475-3_72.

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Chard, Kyle, and Simon Caton. "Social Clouds: Crowdsourcing Cloud Infrastructure." In Progress in IS. Springer Berlin Heidelberg, 2015. http://dx.doi.org/10.1007/978-3-662-47011-4_11.

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Morcrette, J. J., CH Jakob, and J. Teixeira. "Clouds and Cloud Water Prediction." In Numerical Modeling of the Global Atmosphere in the Climate System. Springer Netherlands, 2000. http://dx.doi.org/10.1007/978-94-011-4046-1_10.

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Rossow, William B. "Properties of Clouds and Cloud Systems." In Radiation and Water in the Climate System. Springer Berlin Heidelberg, 1996. http://dx.doi.org/10.1007/978-3-662-03289-3_9.

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Sulistio, Anthony, Christoph Reich, and Frank Doelitzscher. "Cloud Infrastructure & Applications – CloudIA." In Lecture Notes in Computer Science. Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-10665-1_56.

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Conference papers on the topic "Ion clouds"

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Chutov, Yu I. "Ion Acoustic Shocks in Dust Clouds." In NEW VISTAS IN DUSTY PLASMAS: Fourth International Conference on the Physics of Dusty Plasmas. AIP, 2005. http://dx.doi.org/10.1063/1.2134611.

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Gennadi, Milinevsky P., A. M. Evtushevsky, S. N. Zaitsev, H. C. Stenbaek-Nielsen, and A. I. Kashirin. "Ion clouds in CRRES Caribbean barium releases campaign as tracers of ionosphere processes." In High Latitude Optics, edited by Sergej Leontyev. SPIE, 1993. http://dx.doi.org/10.1117/12.164824.

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Coudreau, T., F. Grosshans, S. Guibal, and L. Guidoni. "Towards a new medium for quantum information light-matter interface: The large trapped-ion clouds." In 2006 Conference on Lasers and Electro-Optics and 2006 Quantum Electronics and Laser Science Conference. IEEE, 2006. http://dx.doi.org/10.1109/cleo.2006.4628963.

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Nagorskiy, Petr M., Vladimir N. Morozov, Konstantin N. Pustovalov, and Maria V. Oglezneva. "Variations of Light Ion Concentrations in The Surface Atmosphere During The Passage of Convectiv e Clouds." In 2019 Russian Open Conference on Radio Wave Propagation (RWP). IEEE, 2019. http://dx.doi.org/10.1109/rwp.2019.8810352.

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Pugliese, Roland, Thomas Konrad, René Zweigel, and Dirk Abel. "Object Detection and Potential Field-based Trajectory Planning on LiDAR 3D-Point Clouds for UAV in Uncertain Environments." In 32nd International Technical Meeting of the Satellite Division of The Institute of Navigation (ION GNSS+ 2019). Institute of Navigation, 2019. http://dx.doi.org/10.33012/2019.17094.

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Jiang, Haobo, Jianjun Qian, Jin Xie, and Jian Yang. "Planning with Learned Dynamic Model for Unsupervised Point Cloud Registration." In Thirtieth International Joint Conference on Artificial Intelligence {IJCAI-21}. International Joint Conferences on Artificial Intelligence Organization, 2021. http://dx.doi.org/10.24963/ijcai.2021/107.

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Point cloud registration is a fundamental problem in 3D computer vision. In this paper, we cast point cloud registration into a planning problem in reinforcement learning, which can seek the transformation between the source and target point clouds through trial and error. By modeling the point cloud registration process as a Markov decision process (MDP), we develop a latent dynamic model of point clouds, consisting of a transformation network and evaluation network. The transformation network aims to predict the new transformed feature of the point cloud after performing a rigid transformati
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Bobkowska, Katarzyna, Adam Inglot, Marek Przyborski, Jedrzej Sieniakowski, and Paweł Tysiac. "Low-Level Aerial Photogrammetry as a Source of Supplementary Data for ALS Measurements." In Environmental Engineering. VGTU Technika, 2017. http://dx.doi.org/10.3846/enviro.2017.168.

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The development of laser scanning technology ALS allows to make high-resolution measurements for large areas result-ing in significant reduction of costs. The main stakeholders at heights data received from the airborne laser scanning is mainly state administration. The state institutions appear among projects such as ISOK. Each point is classified in ac-cordance with the standard LAS 1.2, our research focuses on the class 6 – buildings. In the project ISOK, the buildings are not measured in whole (from every side). A typical way to measure the missing elements is to increase the coverage of t
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Zhang, Mingshao, Zhou Zhang, Sven K. Esche, and Constantin Chassapis. "Algorithm Modification Approach to Improve the Kinect’s Performance in Point Cloud Processing." In ASME 2014 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2014. http://dx.doi.org/10.1115/imece2014-37064.

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Since its introduction in 2010, Microsoft’s Kinect input device for game consoles and computers has shown its great potential in a large number of applications, including game development, research and education. Many of these implementations are still in the prototype stages and exhibit a somewhat limited performance. These limitations are mainly caused by the quality of the point clouds generated by the Kinect, which include limited range, high dependency on surface properties, shadowing, low depth accuracy, etc. One of the Kinect’s most significant limitations is the low accuracy and high e
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Peng, Tao, and Satyandra K. Gupta. "A Computational Framework for Point Cloud Construction Using Digital Projection Patterns." In ASME 2006 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2006. http://dx.doi.org/10.1115/detc2006-99553.

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Many reverse engineering and inspection applications require generation of point clouds representing faces of physical objects. This paper describes a computational framework for constructing point clouds using digital projection patterns. The basic principle behind the approach is to project known patterns on the object using a digital projector. A digital camera is then used to take images of the object with the known projection patterns imposed on it. Due to the presence of 3-D faces of the object, the projection patterns appear distorted in the images. The images are analyzed to construct
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Zhang, Zihao, Lei Hu, Xiaoming Deng, and Shihong Xia. "Sequential 3D Human Pose Estimation Using Adaptive Point Cloud Sampling Strategy." In Thirtieth International Joint Conference on Artificial Intelligence {IJCAI-21}. International Joint Conferences on Artificial Intelligence Organization, 2021. http://dx.doi.org/10.24963/ijcai.2021/184.

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3D human pose estimation is a fundamental problem in artificial intelligence, and it has wide applications in AR/VR, HCI and robotics. However, human pose estimation from point clouds still suffers from noisy points and estimated jittery artifacts because of handcrafted-based point cloud sampling and single-frame-based estimation strategies. In this paper, we present a new perspective on the 3D human pose estimation method from point cloud sequences. To sample effective point clouds from input, we design a differentiable point cloud sampling method built on density-guided attention mechanism.
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Reports on the topic "Ion clouds"

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Aziz U. I. Electron Clouds in the Relativistic Heavy Ion Collider. Office of Scientific and Technical Information (OSTI), 2006. http://dx.doi.org/10.2172/1061819.

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Iriso U. and S. Peggs. Maps for Coupled Electron and Ion Clouds in Accelerators. Office of Scientific and Technical Information (OSTI), 2005. http://dx.doi.org/10.2172/1061802.

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Albrecht, Bruce. Aerosol-Cloud-Drizzle-Turbulence Interactions in Boundary Layer Clouds. Defense Technical Information Center, 2009. http://dx.doi.org/10.21236/ada531259.

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Albrecht, Bruce. Aerosol-Cloud-Drizzle-Turbulence Interactions In Boundary Layer Clouds. Defense Technical Information Center, 2008. http://dx.doi.org/10.21236/ada532783.

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Albrecht, Bruce. Aerosol-Cloud-Drizzle-Turbulence Interactions in Boundary Layer Clouds. Defense Technical Information Center, 2010. http://dx.doi.org/10.21236/ada541857.

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Albrecht, Bruce. Aerosol-Cloud-Drizzle-Turbulence Interactions in Boundary Layer Clouds. Defense Technical Information Center, 2012. http://dx.doi.org/10.21236/ada575522.

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Albrecht, Bruce. Aerosol-Cloud-Drizzle-Turbulence Interactions in Boundary Layer Clouds. Defense Technical Information Center, 2012. http://dx.doi.org/10.21236/ada574045.

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Albrecht, Bruce. Aerosol-Cloud-Drizzle-Turbulence Interactions in Boundary Layer Clouds. Defense Technical Information Center, 2011. http://dx.doi.org/10.21236/ada557114.

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Albrecht, Bruce. Aerosol-Cloud-Drizzle-Turbulence Interactions in Boundary Layer Clouds. Defense Technical Information Center, 2013. http://dx.doi.org/10.21236/ada598037.

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Kogan, Yefim L. Midlatitude Aerosol-Cloud-Radiation Feedbacks in Marine Boundary Layer Clouds. Defense Technical Information Center, 2008. http://dx.doi.org/10.21236/ada532932.

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