Relevant bibliographies by topics / Point scale

Academic literature on the topic 'Point scale'

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Published: 10 March 2023

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Journal articles on the topic "Point scale"

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Lin, Baowei, Fasheng Wang, Yi Sun, Wen Qu, Zheng Chen, and Shuo Zhang. "Boundary points based scale invariant 3D point feature." Journal of Visual Communication and Image Representation 48 (October 2017): 136–48. http://dx.doi.org/10.1016/j.jvcir.2017.05.007.

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Landrum, R. Eric. "Scaling Issues in Faculty Evaluations." Psychological Reports 84, no. 1 (February 1999): 178–80. http://dx.doi.org/10.2466/pr0.1999.84.1.178.

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148 students were asked to evaluate particular survey questions with scales that varied in number of scale points, type of labeling, and labeling of anchors only vs all scale points. No significant difference was found between variations on 4-and 5-point scales, so these data were collapsed. Analysis indicated that students generated scale-point exemplars significantly better for 4-point scales (96.7%) than for 5-point (87.8%) and 10-point (79.3%) scales. These results are discussed with respect to the administration of student evaluations and the care required in selecting a scale type and interpreting the subsequent outcomes.
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Lin, Baowei, Toru Tamaki, Fangda Zhao, Bisser Raytchev, Kazufumi Kaneda, and Koji Ichii. "Scale alignment of 3D point clouds with different scales." Machine Vision and Applications 25, no. 8 (September 12, 2014): 1989–2002. http://dx.doi.org/10.1007/s00138-014-0633-2.

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Dawes, John. "Do Data Characteristics Change According to the Number of Scale Points Used? An Experiment Using 5-Point, 7-Point and 10-Point Scales." International Journal of Market Research 50, no. 1 (January 2008): 61–104. http://dx.doi.org/10.1177/147078530805000106.

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Gunderman, Richard B., and Stephen Chan. "The 13-Point Likert Scale." Academic Radiology 20, no. 11 (November 2013): 1466–67. http://dx.doi.org/10.1016/j.acra.2013.04.010.

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Dalal, Dev K., Nathan T. Carter, and Christopher J. Lake. "Middle Response Scale Options are Inappropriate for Ideal Point Scales." Journal of Business and Psychology 29, no. 3 (September 25, 2013): 463–78. http://dx.doi.org/10.1007/s10869-013-9326-5.

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Et.al, Santanu Choudhury. "Reliability and Validity of Compulsive Buying Scale Without Middle Point." Turkish Journal of Computer and Mathematics Education (TURCOMAT) 12, no. 3 (April 10, 2021): 3604–10. http://dx.doi.org/10.17762/turcomat.v12i3.1640.

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Objective: The study aims at finding out the affect of reliability and validity for the compulsive buying behavior scale by Valence, d’ Astou’s and Fortier Scale without middle point. Methodology: Responses across 5 to 9 point scales are obtained to calculate the reliability and validity of compulsive buying behavior scale by Valence, d’ Astou’s and Fortier Scale. Cronbach’s alpha is used to measure the internal reliability of the scale. To compare the reliability coefficients among different scale points Feldt test and Hakstian-Whalen test are used. Convergent validity for measuring inter-correlations between scales with different numbers of response categories is used and Fisher’s –r to –z transformation is used to test population correlation coefficient. Conclusion: From study it is concluded that there is no change in reliability and validity when the middle point is dropped from the compulsive buying scale.
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Lin, Baowei, Fasheng Wang, Fangda Zhao, and Yi Sun. "Scale invariant point feature (SIPF) for 3D point clouds and 3D multi-scale object detection." Neural Computing and Applications 29, no. 5 (May 18, 2017): 1209–24. http://dx.doi.org/10.1007/s00521-017-2964-1.

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Kartika, Nadya Larasati, and Nurul Alfiyati. "ANALYSIS OF AIRY POINT APPLICATION ON LINE SCALE CALIBRATION IN RCM LIPI." Jurnal Standardisasi 20, no. 3 (January 16, 2019): 189. http://dx.doi.org/10.31153/js.v20i3.717.

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<p>Calibration of line scale in the Research Center for Metrology LIPI Indonesia (RCM-LIPI) is traceable to one dimensional measuring machine (SIP machine). Capability of the SIP machine table used as the base of line scale, however, covers only up to 400 mm and can be extended to 1000 mm using shifting methods. Supporting point as a method to maintain line scale still straight during measurement should be applied on machine table. For line scale ranged 400 mm, supporting point can be attached because the whole artefact is on the table, while some of the industrial instruments have scales above 400 mm, this mean slightly difficult to attach supporting point. This paper described an appropriate supporting points setting and their influence in line scale calibration ranged 500 mm by designed two systems supporting point attachment, they are L = 500 mm and L = 350 mm. As for the supporting points, airy points were used, because they were the most suitable for line scales with the pattern at the top plane. Each design is analysed using error graph and E<sub>n </sub>score to determine the most suitable design for 500 mm line scale calibration<em>.</em></p>
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Wang, Guang Xue, Yong Chun Liu, and Huan He. "A New Multi-Scale Harris Interesting Point Detector." Applied Mechanics and Materials 602-605 (August 2014): 1950–55. http://dx.doi.org/10.4028/www.scientific.net/amm.602-605.1950.

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The interesting point is important features in images, which is frequently used for image registration, scene analysis, object tracking. Many algorithms for detecting the interesting points have been developed up to now. Among them, the Harris interesting point detector is proved most stable against rotation and noise, while it is also very sensitive to scale change. In order to solve this problem, a new multi-scale Harris interesting point detection algorithm is proposed in this paper. The algorithm consists of two main stages. In stage one, we build a multi-scale representation for Harris measure and find candidate interesting points at each scale level. In stage two, a novel measure is defined to measure the stability of each point. Based on the measure, the final interesting point is selected from candidates. The experiments on both optical and sar data sets have shown that, compared with stand Harris interesting point detector and some other multi-scale interesting point detectors, our algorithm is more robust.
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Dissertations / Theses on the topic "Point scale"

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Lindeberg, Tony. "Scale Selection Properties of Generalized Scale-Space Interest Point Detectors." KTH, Beräkningsbiologi, CB, 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-101220.

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Scale-invariant interest points have found several highly successful applications in computer vision, in particular for image-based matching and recognition. This paper presents a theoretical analysis of the scale selection properties of a generalized framework for detecting interest points from scale-space features presented in Lindeberg (Int. J. Comput. Vis. 2010, under revision) and comprising: an enriched set of differential interest operators at a fixed scale including the Laplacian operator, the determinant of the Hessian, the new Hessian feature strength measures I and II and the rescaled level curve curvature operator, as well as an enriched set of scale selection mechanisms including scale selection based on local extrema over scale, complementary post-smoothing after the computation of non-linear differential invariants and scale selection based on weighted averaging of scale values along feature trajectories over scale. A theoretical analysis of the sensitivity to affine image deformations is presented, and it is shown that the scale estimates obtained from the determinant of the Hessian operator are affine covariant for an anisotropic Gaussian blob model. Among the other purely second-order operators, the Hessian feature strength measure I has the lowest sensitivity to non-uniform scaling transformations, followed by the Laplacian operator and the Hessian feature strength measure II. The predictions from this theoretical analysis agree with experimental results of the repeatability properties of the different interest point detectors under affine and perspective transformations of real image data. A number of less complete results are derived for the level curve curvature operator.

QC 20121003


Image descriptors and scale-space theory for spatial and spatio-temporal recognition
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Griffin, Joshua D. "Interior-point methods for large-scale nonconvex optimization /." Diss., Connect to a 24 p. preview or request complete full text in PDF format. Access restricted to UC campuses, 2005. http://wwwlib.umi.com/cr/ucsd/fullcit?p3167839.

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Graehling, Quinn R. "Feature Extraction Based Iterative Closest Point Registration for Large Scale Aerial LiDAR Point Clouds." University of Dayton / OhioLINK, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=dayton1607380713807017.

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Siegl, Manuel. "Atomic-scale investigation of point defect interactions in semiconductors." Thesis, University College London (University of London), 2018. http://discovery.ucl.ac.uk/10043636/.

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Miniaturisation of computer hardware has increased the transistor density in silicon devices significantly and is approaching the ultimate physical limit of single atom transistors. A thorough understanding of the nature of materials at the atomic scale is needed in order to increase the transistor density further and exploit more recent technology proposals. Moreover, exploring other materials with more desirable characteristics such as wide band gap semiconductors with a higher dielectric strength and optical addressability are paramount in the effort of moving to a post-silicon era. Scanning Tunnelling Microscopy (STM) has been shown to be a suitable tool for the investigation of the technologically important material surface properties at the atomic scale. In particular, Scanning Tunnelling Spectroscopy (STS) – and its spatial extension Current Imaging Tunnelling Spectroscopy (CITS) – can reveal the electronic properties of single atom point defects as well as quantum effects caused by the confinement of energetic states. Nanoscale device performance is governed by these effects. In order to control and exploit the quantum effects, they firstly need to be understood. In this thesis, three systems have been investigated with STM and STS/CITS to broaden the comprehension of confined quantum states and material surface properties. The first data chapter concentrates on the interaction of confined quantum states of dangling bonds (DB) on the Si(111)-(√ 3 × √ 3)R30◦ surface. The site dependent interaction between neighbouring bound states is investigated by changing the distance and crystallographic direction between two DB point defects, revealing a non-linear constructive interference of the bound states and an antibonding state in resonance with the CB. In the second data chapter we explore subsurface bismuth dopants in silicon, a system relevant to recent information processing proposals. Bismuth was ion-implanted in the Si(001) surface and hydrogen passivated before the STM study. The bismuth dopants form a bismuth-vacancy (Bi+V) complex, which acts as an acceptor and lowers the Fermi level. The Bi+V complex further induces in-band gap states, which appear as square-like protrusions with a round depression in the centre. Interference of these states is energy dependent and the antibonding state is found at a lower energy than the bonding state due to the acceptor-like nature of the Bi+V defect complex. The third investigated system concerns the silicon face of the wide band gap semiconductor Silicon Carbide (SiC(0001)). The influence of atomic hydrogen on the 4HSiC(0001)-3 × 3 surface was investigated and found to result in a surface etching at the lower and upper end of the passivation temperature range. The electronic structure of two different surface defects of the 3 × 3 reconstruction is presented and a new superstructure consisting of silicon atoms on top of the 4H-SiC(0001)-(√ 3 × √ 3)R30◦ surface was discovered. A Schottky barrier height study of different surface reconstructions finds a nearly optimal power device fabrication value for the (√ 3× √ 3)R30◦ prepared surface. In summary, I have found a quantum interference that results in bonding and antibonding states for DB bound states on the Si(111):B surface and Bi+V complex states in the Si(001):H surface. Additionally, a new silicon superstructure on the SiC surface and a silicon reconstruction dependent Schottky barrier height are found.
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Marcia, Roummel F. "Primal-dual interior-point methods for large-scale optimization /." Diss., Connect to a 24 p. preview or request complete full text in PDF format. Access restricted to UC campuses, 2002. http://wwwlib.umi.com/cr/ucsd/fullcit?p3044769.

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Khoury, Rasha. "Nanometer scale point contacting techniques for silicon Photovoltaic devices." Thesis, Université Paris-Saclay (ComUE), 2017. http://www.theses.fr/2017SACLX070/document.

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Au cours de cette thèse, j’ai étudié la possibilité et les avantages d’utiliser des contacts nanométriques au-dessous de 1 µm. Des simulations analytiques et numériques ont montré que ces contacts nanométriques sont avantageux pour les cellules en silicium cristallin comme ils peuvent entrainer une résistance ohmique négligeable. Mon travail expérimental était focalisé sur le développement de ces contacts en utilisant des nanoparticules de polystyrène comme un masque. En utilisant la technique de floating transfert pour déposer les nanosphères, une monocouche dense de nanoparticules s’est formée. Cela nécessite une gravure par plasma de O2 afin de réduire la zone de couverture des NPs. Cette gravure était faite et étudiée en utilisant la technique de plasmas matriciels distribués à résonance cyclotronique électronique (MD-ECR). Une variété de techniques de créations de trous nanométriques était développée et testée dans des structures de couches minces et silicium cristallin. Des trous nanométriques étaient formés dans la couche de passivation, de SiO2 thermique, du silicium cristallin pour former des contacts nanométriques dopés. Un dopage local de bore était fait, à travers ces trous nanométriques par diffusion thermique et implantation ionique. En faisant la diffusion, le dopage local était observé par CP-AFM en mesurant des courbes de courant-tension à l’intérieur et à l’extérieur des zones dopées et en détectant des cellules solaires nanométriques. Par contre le processus de dopage local par implantation ionique a besoin d’être améliorer afin d’obtenir un résultat similaire à celui de diffusion
The use of point contacts has made the Passivated Emitter and Rear Cell design one of the most efficient monocrystalline-silicon photovoltaic cell designs in production. The main feature of such solar cell is that the rear surface is partially contacted by periodic openings in a dielectric film that provides surface passivation. However, a trade-off between ohmic losses and surface recombination is found. Due to the technology used to locally open the contacts in the passivation layer, the distance between neighboring contacts is on the order of hundreds of microns, introducing a significant series resistance.In this work, I explore the possibility and potential advantages of using nanoscale contact openings with a pitch between 300 nm to 10 µm. Analytic and numerical simulations done during the course of this thesis have shown that such nanoscale contacts would result in negligible ohmic losses while still keeping the surface recombination velocity Seff,rear at an acceptable level, as long as the recombination velocity at the contact (Scont) is in the range from 103-105 cm/s. To achieve such contacts in a potentially cost-reducing way, my experimental work has focused on the use of polystyrene nanospheres as a sacrificial mask.The thesis is therefore divided into three sections. The first section develops and explores processes to enable the formation of such contacts using various nanosphere dispersion, thin-film deposition, and layer etching processes. The second section describes a test device using a thin-film amorphous silicon NIP diode to explore the electrical properties of the point contacts. Finally, the third section considers the application of such point contacts on crystalline silicon by exploring localized doping through the nanoholes formed.In the first section, I have explored using polystyrene nanoparticles (NPs) as a patterning mask. The first two tested NPs deposition techniques (spray-coating, spin-coating) give poorly controlled distributions of nanospheres on the surface, but with very low values of coverage. The third tested NPs deposition technique (floating transfer technique) provided a closely-packed monolayer of NPs on the surface; this process was more repeatable but necessitated an additional O2 plasma step to reduce the coverage area of the sphere. This was performed using matrix distributed electron cyclotron resonance (MD-ECR) in order to etch the NPs by performing a detailed study.The NPs have been used in two ways; by using them as a direct deposition mask or by depositing a secondary etching mask layer on top of them.In the second section of this thesis, I have tested the nanoholes as electrical point-contacts in thin-film a-Si:H devices. For low-diffusion length technologies such as thin-film silicon, the distance between contacts must be in the order of few hundred nanometers. Using spin coated 100 nm NPs of polystyrene as a sacrificial deposition mask, I could form randomly spaced contacts with an average spacing of a few hundred nanometers. A set of NIP a-Si:H solar cells, using RF-PECVD, have been deposited on the back reflector substrates formed with metallic layers covered with dielectrics having nanoholes. Their electrical characteristics were compared to the same cells done with and without a complete dielectric layer. These structures allowed me to verify that good electrical contact through the nanoholes was possible, but no enhanced performance was observed.In the third section of this thesis, I investigate the use of such nanoholes in crystalline silicon technology by the formation of passivated contacts through the nanoholes. Boron doping by both thermal diffusion and ion implantation techniques were investigated. A thermally grown oxide layer with holes was used as the doping barrier. These samples were characterized, after removing the oxide layer, by secondary electron microscopy (SEM) and conductive probe atomic force microscopy (CP-AFM)
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Colombo, Marco. "Advances in interior point methods for large-scale linear programming." Thesis, University of Edinburgh, 2007. http://hdl.handle.net/1842/2488.

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This research studies two computational techniques that improve the practical performance of existing implementations of interior point methods for linear programming. Both are based on the concept of symmetric neighbourhood as the driving tool for the analysis of the good performance of some practical algorithms. The symmetric neighbourhood adds explicit upper bounds on the complementarity pairs, besides the lower bound already present in the common N−1 neighbourhood. This allows the algorithm to keep under control the spread among complementarity pairs and reduce it with the barrier parameter μ. We show that a long-step feasible algorithm based on this neighbourhood is globally convergent and converges in O(nL) iterations. The use of the symmetric neighbourhood and the recent theoretical under- standing of the behaviour of Mehrotra’s corrector direction motivate the introduction of a weighting mechanism that can be applied to any corrector direction, whether originating from Mehrotra’s predictor–corrector algorithm or as part of the multiple centrality correctors technique. Such modification in the way a correction is applied aims to ensure that any computed search direction can positively contribute to a successful iteration by increasing the overall stepsize, thus avoid- ing the case that a corrector is rejected. The usefulness of the weighting strategy is documented through complete numerical experiments on various sets of publicly available test problems. The implementation within the hopdm interior point code shows remarkable time savings for large-scale linear programming problems. The second technique develops an efficient way of constructing a starting point for structured large-scale stochastic linear programs. We generate a computation- ally viable warm-start point by solving to low accuracy a stochastic problem of much smaller dimension. The reduced problem is the deterministic equivalent program corresponding to an event tree composed of a restricted number of scenarios. The solution to the reduced problem is then expanded to the size of the problem instance, and used to initialise the interior point algorithm. We present theoretical conditions that the warm-start iterate has to satisfy in order to be successful. We implemented this technique in both the hopdm and the oops frameworks, and its performance is verified through a series of tests on problem instances coming from various stochastic programming sources.
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Wehbe, Diala. "Simulations and applications of large-scale k-determinantal point processes." Thesis, Lille 1, 2019. http://www.theses.fr/2019LIL1I012/document.

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Avec la croissance exponentielle de la quantité de données, l’échantillonnage est une méthode pertinente pour étudier les populations. Parfois, nous avons besoin d’échantillonner un grand nombre d’objets d’une part pour exclure la possibilité d’un manque d’informations clés et d’autre part pour générer des résultats plus précis. Le problème réside dans le fait que l’échantillonnage d’un trop grand nombre d’individus peut constituer une perte de temps.Dans cette thèse, notre objectif est de chercher à établir des ponts entre la statistique et le k-processus ponctuel déterminantal(k-DPP) qui est défini via un noyau. Nous proposons trois projets complémentaires pour l’échantillonnage de grands ensembles de données en nous basant sur les k-DPPs. Le but est de sélectionner des ensembles variés qui couvrent un ensemble d’objets beaucoup plus grand en temps polynomial. Cela peut être réalisé en construisant différentes chaînes de Markov où les k-DPPs sont les lois stationnaires.Le premier projet consiste à appliquer les processus déterminantaux à la sélection d’espèces diverses dans un ensemble d’espèces décrites par un arbre phylogénétique. En définissant le noyau du k-DPP comme un noyau d’intersection, les résultats fournissent une borne polynomiale sur le temps de mélange qui dépend de la hauteur de l’arbre phylogénétique.Le second projet vise à utiliser le k-DPP dans un problème d’échantillonnage de sommets sur un graphe connecté de grande taille. La pseudo-inverse de la matrice Laplacienne normalisée est choisie d’étudier la vitesse de convergence de la chaîne de Markov créée pour l’échantillonnage de la loi stationnaire k-DPP. Le temps de mélange résultant est borné sous certaines conditions sur les valeurs propres de la matrice Laplacienne.Le troisième sujet porte sur l’utilisation des k-DPPs dans la planification d’expérience avec comme objets d’étude plus spécifiques les hypercubes latins d’ordre n et de dimension d. La clé est de trouver un noyau positif qui préserve le contrainte de ce plan c’est-à-dire qui préserve le fait que chaque point se trouve exactement une fois dans chaque hyperplan. Ensuite, en créant une nouvelle chaîne de Markov dont le n-DPP est sa loi stationnaire, nous déterminons le nombre d’étapes nécessaires pour construire un hypercube latin d’ordre n selon le n-DPP
With the exponentially growing amount of data, sampling remains the most relevant method to learn about populations. Sometimes, larger sample size is needed to generate more precise results and to exclude the possibility of missing key information. The problem lies in the fact that sampling large number may be a principal reason of wasting time.In this thesis, our aim is to build bridges between applications of statistics and k-Determinantal Point Process(k-DPP) which is defined through a matrix kernel. We have proposed different applications for sampling large data sets basing on k-DPP, which is a conditional DPP that models only sets of cardinality k. The goal is to select diverse sets that cover a much greater set of objects in polynomial time. This can be achieved by constructing different Markov chains which have the k-DPPs as their stationary distribution.The first application consists in sampling a subset of species in a phylogenetic tree by avoiding redundancy. By defining the k-DPP via an intersection kernel, the results provide a fast mixing sampler for k-DPP, for which a polynomial bound on the mixing time is presented and depends on the height of the phylogenetic tree.The second application aims to clarify how k-DPPs offer a powerful approach to find a diverse subset of nodes in large connected graph which authorizes getting an outline of different types of information related to the ground set. A polynomial bound on the mixing time of the proposed Markov chain is given where the kernel used here is the Moore-Penrose pseudo-inverse of the normalized Laplacian matrix. The resulting mixing time is attained under certain conditions on the eigenvalues of the Laplacian matrix. The third one purposes to use the fixed cardinality DPP in experimental designs as a tool to study a Latin Hypercube Sampling(LHS) of order n. The key is to propose a DPP kernel that establishes the negative correlations between the selected points and preserve the constraint of the design which is strictly confirmed by the occurrence of each point exactly once in each hyperplane. Then by creating a new Markov chain which has n-DPP as its stationary distribution, we determine the number of steps required to build a LHS with accordance to n-DPP
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Leaf, Kyle, and Fulvio Melia. "A two-point diagnostic for the H ii galaxy Hubble diagram." OXFORD UNIV PRESS, 2018. http://hdl.handle.net/10150/627132.

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A previous analysis of starburst-dominated HII galaxies and HII regions has demonstrated a statistically significant preference for the Friedmann-Robertson-Walker cosmology with zero active mass, known as the R-h = c(t) universe, over Lambda cold dark matter (Lambda CDM) and its related dark-matter parametrizations. In this paper, we employ a two-point diagnostic with these data to present a complementary statistical comparison of Rh = ct with Planck Lambda CDM. Our two-point diagnostic compares, in a pairwise fashion, the difference between the distance modulus measured at two redshifts with that predicted by each cosmology. Our results support the conclusion drawn by a previous comparative analysis demonstrating that Rh = ct is statistically preferred over Planck Lambda CDM. But we also find that the reported errors in the HII measurements may not be purely Gaussian, perhaps due to a partial contamination by non-Gaussian systematic effects. The use of HII galaxies and HII regions as standard candles may be improved even further with a better handling of the systematics in these sources.
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Nxumalo, Jochonia Norman. "Cross-sectional imaging of semiconductor devices using nanometer scale point contacts." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1998. http://www.collectionscanada.ca/obj/s4/f2/dsk2/tape17/PQDD_0007/NQ32010.pdf.

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Books on the topic "Point scale"

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Mitzi, Curtis, ed. The Incredible 5-Point Scale. Shawnee Mission, KS: Autism Asperger Publishing Co., 2003.

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Schwarz, Udo, and Hendrik Hoelscher. Atomic-Scale Principles of Point Contact Friction. s.l.: Springer, 2006.

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IEEE VLSI Test Symposium (17th 1999 Dana Point, Calif.). 17th IEEE VLSI Test Symposium: Proceedings : April 25-29, 1999, Dana Point, California. Los Alamitos, Calif: IEEE Computer Society, 1999.

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Morrison, C. A. A study of point symbol design for computer based large scale tourist mapping. Portsmouth: University of Portsmouth, 1992.

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Multi-point interconnects for globally-asynchronous locally-synchronous systems. Konstanz: Hartung-Gorre Verlag, 2005.

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Tamás, Terlaky, ed. Interior point methods of mathematical programming. Dordrecht, Netherlands: Kluwer, 1996.

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Levkovitz, R. An investigation of interior point methods for large scale linear programs: Theory and computational algorithms. Uxbridge: Brunel University, 1992.

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Buron, Kari Dunn. The incredible 5-point scale: Assisting students in understanding social interactions and controlling their emotional responses. 2nd ed. Shawnee Mission, Kan: AAPC Pub., 2012.

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Fitzgerald, Garrett Christopher. Multi-scale Analysis of Methane Gas Hydrate Formation and Dissociation via Point Source Thermal Stimulation and Carbon Dioxide Exchange. [New York, N.Y.?]: [publisher not identified], 2014.

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K, Tanaabe, and United States. National Aeronautics and Space Administration., eds. A new method of determining acid base strength distribution and a new acidity-basicity scale for solid catalysts: The strongest point, Ho. Washington, D.C: National Aeronautics and Space Administration, 1988.

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Book chapters on the topic "Point scale"

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Axelsson, Owe. "Eigenvalue Estimates for Preconditioned Saddle Point Matrices." In Large-Scale Scientific Computing, 3–16. Berlin, Heidelberg: Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-540-24588-9_1.

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Rethage, Dario, Johanna Wald, Jürgen Sturm, Nassir Navab, and Federico Tombari. "Fully-Convolutional Point Networks for Large-Scale Point Clouds." In Computer Vision – ECCV 2018, 625–40. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-01225-0_37.

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Li, Yunpeng, Noah Snavely, Daniel P. Huttenlocher, and Pascal Fua. "Worldwide Pose Estimation Using 3D Point Clouds." In Large-Scale Visual Geo-Localization, 147–63. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-25781-5_8.

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Betts, John T., Samuel K. Eldersveld, Paul D. Frank, and John G. Lewis. "An Interior-Point Algorithm for Large Scale Optimization." In Large-Scale PDE-Constrained Optimization, 184–98. Berlin, Heidelberg: Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/978-3-642-55508-4_11.

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Bängtsson, Erik, and Maya Neytcheva. "An Agglomerate Multilevel Preconditioner for Linear Isostasy Saddle Point Problems." In Large-Scale Scientific Computing, 113–20. Berlin, Heidelberg: Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11666806_11.

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Leibfritz, Friedemann, and Ekkehard W. Sachs. "Numerical Solution of Parabolic State Constrained Control Problems Using SQP- and Interior-Point-Methods." In Large Scale Optimization, 245–58. Boston, MA: Springer US, 1994. http://dx.doi.org/10.1007/978-1-4613-3632-7_13.

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Tits, André L., and Jian L. Zhou. "A Simple, Quadratically Convergent Interior Point Algorithm for Linear Programming and Convex Quadratic Programming." In Large Scale Optimization, 411–27. Boston, MA: Springer US, 1994. http://dx.doi.org/10.1007/978-1-4613-3632-7_20.

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Giovangigli, V., and M. D. Smooke. "Extinction Limits for Premixed Laminar Flames in a Stagnation Point Flow." In Large Scale Scientific Computing, 138–58. Boston, MA: Birkhäuser Boston, 1987. http://dx.doi.org/10.1007/978-1-4684-6754-3_9.

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Park, Hyun Soo, Yu Wang, Eriko Nurvitadhi, James C. Hoe, Yaser Sheikh, and Mei Chen. "3D Point Cloud Reduction Using Mixed-Integer Quadratic Programming." In Large-Scale Visual Geo-Localization, 189–203. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-25781-5_10.

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Martin, Richard Kipp. "Interior Point Algorithms: Polyhedral Transformations." In Large Scale Linear and Integer Optimization: A Unified Approach, 219–60. Boston, MA: Springer US, 1999. http://dx.doi.org/10.1007/978-1-4615-4975-8_7.

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Conference papers on the topic "Point scale"

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Serajeh, Reza, Amir Ebrahimi Ghahnavieh, and Karim Faez. "Multi scale feature point tracking." In 2014 22nd Iranian Conference on Electrical Engineering (ICEE). IEEE, 2014. http://dx.doi.org/10.1109/iraniancee.2014.6999699.

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Lin, Baowei, Fangda Zhao, Toru Tamaki, Fasheng Wang, and Le Xiao. "SIPF: Scale invariant point feature for 3D point clouds." In 2015 IEEE International Conference on Image Processing (ICIP). IEEE, 2015. http://dx.doi.org/10.1109/icip.2015.7351275.

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Lam, Michael O., and Barry L. Rountree. "Floating-Point Shadow Value Analysis." In 2016 5th Workshop on Extreme-Scale Programming Tools (ESPT). IEEE, 2016. http://dx.doi.org/10.1109/espt.2016.007.

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Lin, Baowei, Toru Tamaki, Bisser Raytchev, Kazufumi Kaneda, and Koji Ichii. "Scale ratio ICP for 3D point clouds with different scales." In 2013 20th IEEE International Conference on Image Processing (ICIP). IEEE, 2013. http://dx.doi.org/10.1109/icip.2013.6738457.

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Guo Ming, Zhao Youshan, Wang Yanmin, and Zhou Junzhao. "Modeling of large-scale point model." In 2009 IEEE International Conference on Intelligent Computing and Intelligent Systems (ICIS 2009). IEEE, 2009. http://dx.doi.org/10.1109/icicisys.2009.5357654.

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Kyae, B. "Shifted Focus Point and Gluino Mass Bound in the Minimal Mixed Mediation of SUSY Breaking." In 18th International Conference From the Planck Scale to the Electroweak Scale. Trieste, Italy: Sissa Medialab, 2016. http://dx.doi.org/10.22323/1.258.0074.

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Jihua Zhu, Nanning Zheng, Zejian yuan, and Shaoyi Du. "Point-to-line metric based Iterative Closest Point with bounded scale." In 2009 4th IEEE Conference on Industrial Electronics and Applications (ICIEA). IEEE, 2009. http://dx.doi.org/10.1109/iciea.2009.5138705.

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Wang, Jun, Xiaolong Li, Alan Sullivan, Lynn Abbott, and Siheng Chen. "PointMotionNet: Point-Wise Motion Learning for Large-Scale LiDAR Point Clouds Sequences." In 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW). IEEE, 2022. http://dx.doi.org/10.1109/cvprw56347.2022.00488.

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Contreras, Jhonatan, and Joachim Denzler. "Edge-Convolution Point Net for Semantic Segmentation of Large-Scale Point Clouds." In IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium. IEEE, 2019. http://dx.doi.org/10.1109/igarss.2019.8899303.

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Hongchen Chen, Zongze Wu, Shaoyi Du, Nan Zhou, and Jing Sun. "Robust scale iterative closest point algorithm based on correntropy for point set registration." In 2016 Australian Control Conference (AuCC). IEEE, 2016. http://dx.doi.org/10.1109/aucc.2016.7868195.

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Reports on the topic "Point scale"

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McVay, Aaron. Point Cloud Storage and Access on a Global Scale. Fort Belvoir, VA: Defense Technical Information Center, January 2015. http://dx.doi.org/10.21236/ada619005.

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Ames, Lawrence L., and Edward J. George. Revision and Verification of a Seven-Point Workload Estimate Scale. Fort Belvoir, VA: Defense Technical Information Center, July 1993. http://dx.doi.org/10.21236/ada269194.

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Nash, J. G. VLSI (Very Large Scale Integration) Floating Point Chip Design Study. Fort Belvoir, VA: Defense Technical Information Center, November 1985. http://dx.doi.org/10.21236/ada164198.

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Frieman, J. A., and E. Gaztanaga. The three-point function as a probe of models for large-scale structure. Office of Scientific and Technical Information (OSTI), June 1993. http://dx.doi.org/10.2172/6280691.

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Frieman, J. A., and E. Gaztanaga. The three-point function as a probe of models for large-scale structure. Office of Scientific and Technical Information (OSTI), June 1993. http://dx.doi.org/10.2172/10171918.

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Dhakal, Tilak Raj. Multi-scale calculation based on dual domain material point method combined with molecular dynamics. Office of Scientific and Technical Information (OSTI), February 2017. http://dx.doi.org/10.2172/1345173.

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Bixby, Robert E., John W. Gregory, Irvin J. Lustig, Roy E. Marsten, and David F. Shanno. Very Large-Scale Linear Programming: A Case Study in Combining Interior Point and Simplex Methods. Fort Belvoir, VA: Defense Technical Information Center, May 1991. http://dx.doi.org/10.21236/ada452700.

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Duque, Earl, Steve Legensky, Brad Whitlock, David Rogers, Andrew Bauer, Scott Imlay, David Thompson, and Seiji Tsutsumi. Summary of the SciTech 2020 Technical Panel on In Situ/In Transit Computational Environments for Visualization and Data Analysis. Engineer Research and Development Center (U.S.), June 2021. http://dx.doi.org/10.21079/11681/40887.

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At the AIAA SciTech 2020 conference, the Meshing, Visualization and Computational Environments Technical Committee hosted a special technical panel on In Situ/In Transit Computational Environments for Visualization and Data Analytics. The panel brought together leading experts from industry, software vendors, Department of Energy, Department of Defense and the Japan Aerospace Exploration Agency (JAXA). In situ and in transit methodologies enable Computational Fluid Dynamic (CFD) simulations to avoid the excessive overhead associated with data I/O at large scales especially as simulations scale to millions of processors. These methods either share the data analysis/visualization pipelines with the memory space of the solver or efficiently off load the workload to alternate processors. Using these methods, simulations can scale and have the promise of enabling the community to satisfy the Knowledge Extraction milestones as envisioned by the CFD Vision 2030 study for "on demand analysis/visualization of a 100 Billion point unsteady CFD simulation". This paper summarizes the presentations providing a discussion point of how the community can achieve the goals set forth in the CFD Vision 2030.
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Lever, James, Susan Taylor, Arnold Song, Zoe Courville, Ross Lieblappen, and Jason Weale. The mechanics of snow friction as revealed by micro-scale interface observations. Engineer Research and Development Center (U.S.), December 2021. http://dx.doi.org/10.21079/11681/42761.

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The mechanics of snow friction are central to competitive skiing, safe winter driving and efficient polar sleds. For nearly 80 years, prevailing theory has postulated that self-lubrication accounts for low kinetic friction on snow: dry-contact sliding warms snow grains to the melting point, and further sliding produces meltwater layers that lubricate the interface. We sought to verify that self-lubrication occurs at the grain scale and to quantify the evolution of real contact area to aid modeling. We used high-resolution (15 μm) infrared thermography to observe the warming of stationary snow under a rotating polyethylene slider. Surprisingly, we did not observe melting at contacting snow grains despite low friction values. In some cases, slider shear failed inter-granular bonds and produced widespread snow movement with no persistent contacts to melt (μ < 0.03). When the snow grains did not move and persistent contacts evolved, the slider abraded rather than melted the grains at low resistance (μ < 0.05). Optical microscopy revealed that the abraded particles deposited in air pockets between grains and thereby carried heat away from the interface, a process not included in current models. Overall, our results challenge whether self-lubrication is indeed the dominant mechanism underlying low snow kinetic friction.
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Burns, Danny, Marina Apgar, and Anna Raw. Designing a Participatory Programme at Scale: Phases 1 and 2 of the CLARISSA Programme on Worst Forms of Child Labour. Institute of Development Studies (IDS), July 2021. http://dx.doi.org/10.19088/clarissa.2021.004.

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CLARISSA (Child Labour: Action-Research-Innovation in South and South-Eastern Asia) is a large-scale Participatory Action Research programme which aims to identify, evidence, and promote effective multi-stakeholder action to tackle the drivers of the worst forms of child labour in selected supply chains in Bangladesh, Nepal, and Myanmar. CLARISSA places a particular focus on participants’ own ‘agency’. In other words, participants’ ability to understand the situation they face, and to develop and take actions in response to them. Most of CLARISSA’s participants are children. This document shares the design and overarching methodology of the CLARISSA programme, which was co-developed with all consortium partners during and since the co-generation phase of the programme (September 2018–June 2020). The immediate audience is the CLARISSA programme implementation teams, plus the Foreign, Commonwealth & Development Office (FCDO). This design document is also a useful reference point for other programmes trying to build large-scale participatory processes. It provides a clear overview of the CLARISSA programmatic approach, the design, and how it is being operationalised in context.
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