Relevant bibliographies by topics / Warping tools

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Book chapters
  4. Conference papers

Academic literature on the topic 'Warping tools'

Author: Grafiati
Published: 1 July 2021
Last updated: 4 May 2024

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Journal articles on the topic "Warping tools"

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Bonnel, Julien, Barbara Nicolas, Jerome I. Mars, Gregoire Le Touze, and Dominique Fattaccioli. "Mode characterization in shallow water using warping tools." Journal of the Acoustical Society of America 125, no. 4 (April 2009): 2541. http://dx.doi.org/10.1121/1.4783605.

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Hoffmann, E., F. Kolpak, and A. E. Tekkaya. "Warping and springback reduction in bending of U-profiles through partial heating over the cross-section." IOP Conference Series: Materials Science and Engineering 1238, no. 1 (May 1, 2022): 012015. http://dx.doi.org/10.1088/1757-899x/1238/1/012015.

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Abstract Bending of profiles is challenging due to the high stiffness and possible deformations in the process. Especially bending of profiles with asymmetric cross-section regarding the force initiation axis leads to unwanted warping of the bent profile. This warping results from the position difference between the force initiation axis and the shear center, implying torsion moments on the profile. To prevent profile warping the use of shape-bound tools or a change of the force initiation axis position are common practices, though these methods reduce the flexibility of the process. A new method to prevent profile warping during bending is the use of partial, cross-sectional heating. Due to thermal softening in one profile area a quasi-symmetric bending case is achieved, which changes the position of the stress-free fiber and thus reduces the torsion moment. In this work, the warping and springback behavior of partially heated U-profiles consisting of S500MC steel after a three-roll push bending process is investigated using experimental methods. Through partial heating of one profile area to up to 600°C, a warping reduction of 83 % and a springback reduction of 69 % were achieved.
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Wardani, Indira Kusuma, Irwan Iftadi, and Rahmaniyah Dwi Astuti. "Design of tools to reduce the risk level of work postures at warping station." Jurnal Sistem dan Manajemen Industri 4, no. 1 (July 21, 2020): 30–40. http://dx.doi.org/10.30656/jsmi.v4i1.1997.

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Based on the REBA analysis, there is a risky operator work postures in the warping work station at PT. Iskandar Indah Printing Textile because they do not use work tools. The assessment of the level of work posture risk by the REBA method gets the result that the highest work element with a final score of 10 is obtained by taking warp yarn at the warping station. This study aims to produce a design tool to reduce the level of work posture risk in warping work station operators. Then the design of tools was carried out by the Pahl and Beitz method to produce three alternative product design concepts. Based on the three ideas, the best plan is chosen by using an Engineering Design Selection, and the result is the second design concept. The selected design is an adjustable trolley with a vertical screw drive system that is comfortable to use and does not cause a bending position on the operator because it has a trolley plate that can be adjusted in height as needed. The use of the trolley causes a decrease in the level of work posture risk from a high-risk level to a small risk level with a final score of 10 to 3.
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Huang, C. K., and S. Y. Yang. "Warping in advanced composite tools with varying angles and radii." Composites Part A: Applied Science and Manufacturing 28, no. 9-10 (January 1997): 891–93. http://dx.doi.org/10.1016/s1359-835x(97)00045-6.

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Khalil, Adel, and Henning Hoeber. "Wave-equation-based image warping." GEOPHYSICS 81, no. 1 (January 1, 2016): V1—V6. http://dx.doi.org/10.1190/geo2015-0117.1.

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In seismic processing and reservoir characterization, we often need to measure relative displacements between different realizations of data. Over the years, many methods have been developed using different measures of similarity. Such alignment or warping methods are often effective signal or image processing tools. However, none of the available methods are directly driven by the physics of seismic imaging. We have found that a seismic image can be considered as a field governed by the wave equation. We visualized different image realizations as snapshots of the wavefield at different times, and these conveyed the required displacements or time shifts. By formulating the problem in a physical context, we obtained displacements that honored the directionality of the wave propagation. For example, 4D time shifts on migrated stacks were obtained in a direction normal to the reflectors. We have computed these shifts in an inverted finite-difference scheme. To overcome limitations of the two-way wave equation in this application, we factorized it to its one-way counterparts. The method was demonstrated on synthetic and real data sets.
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Sapountzakis, EJ, and IN Tsiptsis. "Generalized vibration analysis of beams including warping effects by isogeometric methods." Journal of Vibration and Control 24, no. 6 (January 5, 2017): 1032–50. http://dx.doi.org/10.1177/1077546316685679.

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In this paper, the Isogeometric tools, either integrated in the Finite Element Method (FEM) or in a Boundary Element based Method (BEM) called Analog Equation Method (AEM), are employed for the vibration analysis of homogeneous beams of arbitrary cross section (thin- or thick- walled) taking into account nonuniform warping and shear deformation effects (shear lag due to both flexure and torsion). The beam is subjected to the combined action of arbitrarily distributed or concentrated axial and transverse loading, as well as to bending, twisting and warping moments. Its edges are subjected to the most general boundary conditions. By employing a distributed mass model system accounting for longitudinal, transverse, rotatory, torsional and warping inertia, ten boundary value problems with respect to the variable along the beam time-dependent 1-D kinematical components are formulated. The numerical solution or the spectrum analysis of the aforementioned problems is performed through IGA, FEM and AEM, leading to a system of second-order differential equations, which are quasi-static and solved for the free vibration case, formulating a generalized eigenvalue problem. Special cases of the generalized problem have also been studied in order to demonstrate the efficiency of AEM in reducing computational effort and improving accuracy, especially when combined to Isogeometric tools, such as NURBS and B-splines.
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Denkena, Berend, Benjamin Bergmann, and Tobias H. Stiehl. "Transfer of Process References between Machine Tools for Online Tool Condition Monitoring." Machines 9, no. 11 (November 10, 2021): 282. http://dx.doi.org/10.3390/machines9110282.

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Process and tool condition monitoring systems are a prerequisite for autonomous production. One approach to monitoring individual parts without complex cutting simulations is the transfer of knowledge among similar monitoring scenarios. This paper introduces a novel monitoring method which transfers monitoring limits for process signals between different machine tools. The method calculates monitoring limits statistically from cutting processes carried out on one or more similar machines. The monitoring algorithm aims to detect general process anomalies online. Experiments comprise face-turning operations at five different lathes, four of which were of the same model. Results include the successful transfer of monitoring limits between machines of the same model for the detection of material anomalies. In comparison to an approach based on dynamic time warping (DTW) and density-based spatial clustering of applications with noise (DBSCAN), the new method showed fewer false alarms and higher detection rates. However, for the transfer between different models of machines, the successful application of the new method is limited. This is predominantly due to limitations of the employed process component isolation and differences between machine models in terms of signal properties as well as execution speed.
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Herranz, Gorka, Alfonso Antolínez, Javier Escartín, Amaia Arregi, and Jon Kepa Gerrikagoitia. "Machine Tools Anomaly Detection Through Nearly Real-Time Data Analysis." Journal of Manufacturing and Materials Processing 3, no. 4 (December 2, 2019): 97. http://dx.doi.org/10.3390/jmmp3040097.

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This work presents a new methodology for machine tools anomaly detection via operational data processing. The previous methodology has been field tested on a milling-boring machine in a real production environment. This paper also describes the data acquisition process, as well as the technical architecture needed for data processing. Subsequently, a technique for operational machine data segmentation based on dynamic time warping and hierarchical clustering is introduced. The formerly mentioned data segmentation and analysis technique allows for machine tools anomaly detection thanks to comparison between near real-time machine operational information, coming from strategically positioned sensors and outcomes collected from previous production cycles. Anomaly detection techniques shown in this article could achieve significant production improvements: “zero-defect manufacturing”, boosting factory efficiency, production plans scrap minimization, improvement of product quality, and the enhancement of overall equipment productivity.
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Samara, E., B. Laperre, R. Kieokaew, M. Temmer, C. Verbeke, L. Rodriguez, J. Magdalenić, and S. Poedts. "Dynamic Time Warping as a Means of Assessing Solar Wind Time Series." Astrophysical Journal 927, no. 2 (March 1, 2022): 187. http://dx.doi.org/10.3847/1538-4357/ac4af6.

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Abstract Over the last decades, international attempts have been made to develop realistic space weather prediction tools aiming to forecast the conditions on the Sun and in the interplanetary environment. These efforts have led to the development of appropriate metrics to assess the performance of those tools. Metrics are necessary to validate models, to compare different models, and to monitor the improvements to a certain model over time. In this work, we introduce dynamic time warping (DTW) as an alternative way of evaluating the performance of models and, in particular, of quantifying the differences between observed and modeled solar wind time series. We present the advantages and drawbacks of this method, as well as its application to Wind observations and EUHFORIA predictions at Earth. We show that DTW can warp sequences in time, aiming to align them with the minimum cost by using dynamic programming. It can be applied for the evaluation of modeled solar wind time series in two ways. The first calculates the sequence similarity factor, a number that provides a quantification of how good the forecast is compared to an ideal and a nonideal prediction scenario. The second way quantifies the time and amplitude differences between the points that are best matched between the two sequences. As a result, DTW can serve as a hybrid metric between continuous measurements (e.g., the correlation coefficient) and point-by-point comparisons. It is a promising technique for the assessment of solar wind profiles, providing at once the most complete evaluation portrait of a model.
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Křístek, Vladimír, and Lukáš Kadlec. "3D Analysis of Bridges Changing Structural Systems – An Easy Design Tool." Applied Mechanics and Materials 796 (October 2015): 69–75. http://dx.doi.org/10.4028/www.scientific.net/amm.796.69.

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Due to increase of requirements on accuracy of structural analyses, practically applicable computational tools for reliable determination of the real structural performance of bridges are needed. A method is proposed for the true full 3D analysis which can be applied to achieve the real spatial behaviour of concrete bridge structures taking into account rheological phenomena and changes of structural systems. Particularly, the effects of shear lag, shear performance of webs of box girders, warping torsion, warping of cross-sections, distortional effects, state of stresses in the singular regions, the real prestress loss, etc., can be correctly determined. The method combines conventional approaches (based on the elementary beamtype assumptions) for calculating the time development of the internal forces due to rheological phenomena and changes in the structural system during construction and routine commercial FEM software intended for calculating spatial shell structures. The method is capable to give the true 3D prediction of structure behaviour by using only commercially available software. The primary advantage of the proposed method is its ease of application which allows the true 3D performance to be determined from simple calculations. The method offers the designers of concrete bridge girders an ideal design tool. The correct 3D simulation can lead to more efficient and economical designs.
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Dissertations / Theses on the topic "Warping tools"

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Woo, Hyoungmin. "Development of Real-Time Predictive Analytics Tools for Small Water Distribution System." University of Cincinnati / OhioLINK, 2017. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1504802657161527.

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Bonnel, Julien. "Analyse de la dispersion acoustique UBF (0-150 Hz) pour la surveillance et la caractérisation du milieu marin." Phd thesis, Grenoble INPG, 2010. http://tel.archives-ouvertes.fr/tel-00522789.

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Le milieu marin recèle de nombreuses sources acoustiques Ultra Basse Fréquence (UBF : 0-100Hz), qu'elles soient naturelles ou d'origine humaine. Les ondes UBF sont d'excellents porteurs d'information, aussi bien pour caractériser l'environnement que pour localiser des sources acoustiques. Cependant, la propagation des ondes UBF en milieu marin est dispersive, et cette dispersion est ambivalente. Elle déforme un signal large bande au cours de sa propagation, rendant son étude plus compliquée. En revanche, son analyse permet de remonter aux informations sur le canal de propagation et sur la localisation de la source. Cette étude propose des outils d'analyse de la dispersion UBF dans le cas défavorable d'une réception monocapteur en milieu petit fond. En caractérisant le signal reçu dans le domaine temps-fréquence grâce à des outils de warping, il est possible d'effectuer l'inversion géoacoustique sur un unique récepteur et la localisation de source sur un réseau parcimonieux d'hydrophones. Les méthodes proposées ne sont pas applicables aux environnements de type grand fond. Pour y remédier, une étude de la dispersion basée sur l'invariant océanique est alors proposée. Elle permet de réaliser la localisation de source en utilisant une antenne horizontale de récepteurs. Toutes les méthodes développées lors de cette étude ont été validées sur des simulations et des données expérimentales marines. Un effort particulier a été fourni pour proposer des méthodes applicables en contexte opérationnel, et plusieurs expériences en cuve ultrasonore ont été réalisées.
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Josso, Nicolas. "Caractérisation des milieux sous-marins en utilisant des sources mobiles d'opportunité." Phd thesis, Grenoble INPG, 2010. https://theses.hal.science/tel-00546875.

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Les contraintes de rapidité et de discrétion imposées à un système moderne de caractérisation du milieu océanique ont conduit au développement de la tomographie passive, définie comme un moyen discret et rapide d'estimation des paramètres d'un canal acoustique. Ce concept fait appel aux signaux existants dans le milieu et transmis par des sources d'opportunité. Les signaux d'opportunité sont inconnus à la réception mais contiennent des informations relatives aux paramètres physiques du canal défini entre la source et le récepteur. Le travail de recherche présenté dans ce mémoire est d´edié à la caractérisation des milieux sous-marins en utilisant des signaux bioacoustiques d'opportunité (sifflements à modulation fréquentielle). La méconnaissance du signal transmis, de la position et de la vitesse de la source acoustique d'opportunité rendent la tomographie passive difficile à mettre en oeuvre. La propagation dans l'environnement océanique et le mouvement inconnu de la source transforment conjointement les signaux d'opportunité enregistrés. Dans un premier temps, nous présentons de nouvelles méthodes d'estimation simultanée des paramètres environnementaux et des déformations engendrées par le mouvement dans le plan d'ambiguïté large-bande, dans un contexte d'émissions actives (le signal transmis est supposé connu). Ces méthodes, permettant de compenser les effets du mouvement dans les scénarios d'´emissions actives, sont appliquées et validées sur différents jeux de données simulées et réelles enregistrées en mer. Puis nous nous intéressons à la tomographie océanique acoustique passive sur un unique hydrophone. Dans ce contexte, le signal transmis, la position et la vitesse de la source sont entièrement inconnus. A partir des estimateurs développés pour les scénarios d'émissions actives, nous présentons une nouvelle méthodologie permettant d'estimer les paramètres environnementaux en utilisant des vocalises de mammifères marins enregistrées sur un unique hydrophone. Les informations extraites sur les signaux naturels d'opportunité sont ensuite utilisées pour estimer la position puis le vecteur vitesse de la source d'opportunité. Ces méthodes sont appliquées et validées sur différents jeux de données simulées et réelles enregistrées en mer
Quickness, secrecy and loudness constraints imposed by modern oceanic characterization led to passive tomography which is defined as a quick, secretive and quiet mean of estimating underwater propagation canals. This concept uses signals naturally existing in the medium and transmitted by opportunity sources. Opportunity signals are unknown at the receiver but they also carry information about canal physical properties. This research work is dedicated to underwater environments characterization using opportunity bioacoustic signals (dolphin whistles). Opportunity signals are simultaneously transformed by underwater propagation and the unknown motion effects. Firstly, we propose new methods for estimating simultaneously environmental parameters and transformations created by motion effects. These parameters are estimated in the broadband ambiguity plane for active tomography (the emitted signal is known) with unknown motion in the system. This work, allowing to compensate for motion effect in active scenarios, is validated on different simulated and real data. Then, we apply our signal processing methods to passive underwater tomography, using a single hydrophone. In this context, both the transmitted signal, source position and source speed are completely unknown. From the theory we developed for active tomography, we derive new methods allowing the estimation of impulse response using underwater mammals vocalization recorded on a single hydrophone. Information extracted on opportunity signals is then used for source position and speed estimation. These methods are applied and validated on different simulated and real data from at sea experiments
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Lu, Bo active 21st century. "Improving process monitoring and modeling of batch-type plasma etching tools." Thesis, 2015. http://hdl.handle.net/2152/30486.

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Manufacturing equipments in semiconductor factories (fabs) provide abundant data and opportunities for data-driven process monitoring and modeling. In particular, virtual metrology (VM) is an active area of research. Traditional monitoring techniques using univariate statistical process control charts do not provide immediate feedback to quality excursions, hindering the implementation of fab-wide advanced process control initiatives. VM models or inferential sensors aim to bridge this gap by predicting of quality measurements instantaneously using tool fault detection and classification (FDC) sensor measurements. The existing research in the field of inferential sensor and VM has focused on comparing regressions algorithms to demonstrate their feasibility in various applications. However, two important areas, data pretreatment and post-deployment model maintenance, are usually neglected in these discussions. Since it is well known that the industrial data collected is of poor quality, and that the semiconductor processes undergo drifts and periodic disturbances, these two issues are the roadblocks in furthering the adoption of inferential sensors and VM models. In data pretreatment, batch data collected from FDC systems usually contain inconsistent trajectories of various durations. Most analysis techniques requires the data from all batches to be of same duration with similar trajectory patterns. These inconsistencies, if unresolved, will propagate into the developed model and cause challenges in interpreting the modeling results and degrade model performance. To address this issue, a Constrained selective Derivative Dynamic Time Warping (CsDTW) method was developed to perform automatic alignment of trajectories. CsDTW is designed to preserve the key features that characterizes each batch and can be solved efficiently in polynomial time. Variable selection after trajectory alignment is another topic that requires improvement. To this end, the proposed Moving Window Variable Importance in Projection (MW-VIP) method yields a more robust set of variables with demonstrably more long-term correlation with the predicted output. In model maintenance, model adaptation has been the standard solution for dealing with drifting processes. However, most case studies have already preprocessed the model update data offline. This is an implicit assumption that the adaptation data is free of faults and outliers, which is often not true for practical implementations. To this end, a moving window scheme using Total Projection to Latent Structure (T-PLS) decomposition screens incoming updates to separate the harmless process noise from the outliers that negatively affects the model. The integrated approach was demonstrated to be more robust. In addition, model adaptation is very inefficient when there are multiplicities in the process, multiplicities could occur due to process nonlinearity, switches in product grade, or different operating conditions. A growing structure multiple model system using local PLS and PCA models have been proposed to improve model performance around process conditions with multiplicity. The use of local PLS and PCA models allows the method to handle a much larger set of inputs and overcome several challenges in mixture model systems. In addition, fault detection sensitivities are also improved by using the multivariate monitoring statistics of these local PLS/PCA models. These proposed methods are tested on two plasma etch data sets provided by Texas Instruments. In addition, a proof of concept using virtual metrology in a controller performance assessment application was also tested.
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Book chapters on the topic "Warping tools"

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Harder, Jennifer. "Basic Warping Tools." In Perspective Warps and Distorts with Adobe Tools: Volume 1, 39–160. Berkeley, CA: Apress, 2022. http://dx.doi.org/10.1007/978-1-4842-8710-1_2.

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Harder, Jennifer. "Warping Text." In Perspective Warps and Distorts with Adobe Tools: Volume 1, 411–88. Berkeley, CA: Apress, 2022. http://dx.doi.org/10.1007/978-1-4842-8710-1_5.

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Harder, Jennifer. "Warping Patterns." In Perspective Warps and Distorts with Adobe Tools: Volume 2, 357–456. Berkeley, CA: Apress, 2022. http://dx.doi.org/10.1007/978-1-4842-8829-0_7.

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Harder, Jennifer. "Warping with Patterns." In Perspective Warps and Distorts with Adobe Tools: Volume 1, 161–317. Berkeley, CA: Apress, 2022. http://dx.doi.org/10.1007/978-1-4842-8710-1_3.

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Harder, Jennifer. "Working with Symbol Warping Tools." In Perspective Warps and Distorts with Adobe Tools: Volume 2, 883–921. Berkeley, CA: Apress, 2022. http://dx.doi.org/10.1007/978-1-4842-8829-0_12.

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Oswald, Julie N., Christine Erbe, William L. Gannon, Shyam Madhusudhana, and Jeanette A. Thomas. "Detection and Classification Methods for Animal Sounds." In Exploring Animal Behavior Through Sound: Volume 1, 269–317. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-97540-1_8.

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AbstractClassification of the acoustic repertoires of animals into sound types is a useful tool for taxonomic studies, behavioral studies, and for documenting the occurrence of animals. Classification of acoustic repertoires enables the identification of species, age, gender, and individual identity, correlations between sound types and behavior, the identification of changes in vocal behavior over time or in response to anthropogenic noise, comparisons between the repertoires of populations living in different geographic regions and environments, and the development of software tools for automated signal processing. Techniques for classification have evolved over time as technical capabilities have expanded. Initially, researchers applied qualitative methods, such as listening and visually discerning sounds in spectrograms. Advances in computer technology and the development of software for the automatic detection and classification of sounds have allowed bioacousticians to quickly find sounds in recordings, thus significantly reducing analysis time and enabling the analysis of larger datasets. In this chapter, we present software algorithms for automated signal detection (based on energy, Teager–Kaiser energy, spectral entropy, matched filtering, and spectrogram cross-correlation) as well as for signal classification (e.g., parametric clustering, principal component analysis, discriminant function analysis, classification trees, artificial neural networks, random forests, Gaussian mixture models, support vector machines, dynamic time-warping, and hidden Markov models). Methods for evaluating the performance of automated tools are presented (i.e., receiver operating characteristics and precision-recall) and challenges with classifying animal sounds are discussed.
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Schaefer, Gerald, and Arcangelo Merla. "Image Processing Tools for Biomedical Infrared Imaging." In Biocomputation and Biomedical Informatics, 187–97. IGI Global, 2010. http://dx.doi.org/10.4018/978-1-60566-768-3.ch012.

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Medical infrared imaging captures the temperature distribution of the human skin and is employed in various medical applications. Unfortunately, many of the conventional and commercial suites for image processing provide only very basic tools for the processing of medical thermal images which represent a challenging combination of both functional and morpho-structural imaging. In this chapter, several more advanced approaches are discussed which in turn provide tremendous help to the clinician. As an example, it is often useful to cross-reference thermograms with visual images of the patient, either to see which part of the anatomy is affected by a certain disease or to judge the efficacy of the treatment. It is shown that image registration techniques can be effectively used to generate an overlay of visual and thermal images to provide a useful diagnostic visualisation. Image registration can also be performed based on two thermograms and a warping-based method for this is presented. Segmenting the background from the foreground (i.e., the patient) is a crucial task and it is highlighted how this can be accomplished. Finally, it is shown how descriptors, extracted from medical infrared images, can be usefully employed to search through a large database of cases as well as to aid in diagnosis.
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Conference papers on the topic "Warping tools"

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Lu, Feng, Baifan Chen, Zhaohong Guo, and Xiangdong Zhou. "Visual Sequence Place Recognition with Improved Dynamic Time Warping." In 2019 IEEE 31st International Conference on Tools with Artificial Intelligence (ICTAI). IEEE, 2019. http://dx.doi.org/10.1109/ictai.2019.00145.

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Hiyadi, Hajar, Fakhreddine Ababsa, Christophe Montagne, El Houssine Bouyakhf, and Fakhita Regragui. "Adaptive dynamic time warping for recognition of natural gestures." In 2016 Sixth International Conference on Image Processing Theory, Tools and Applications (IPTA). IEEE, 2016. http://dx.doi.org/10.1109/ipta.2016.7820971.

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Klippel, Alexander, Jan Oliver Wallgrun, Arif Masrur, Jiayan Zhao, and Peter LaFemina. "Warping Space and Time-Reviving Educational Tools of the 19th Century." In 2019 IEEE Conference on Virtual Reality and 3D User Interfaces (VR). IEEE, 2019. http://dx.doi.org/10.1109/vr.2019.8797897.

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Tavard, F., A. Simon, A. I. Hernandez, J. Betancur, E. Donal, and M. Garreau. "Dynamic registration of cardiac US and CT data using Fourier descriptors and Dynamic Time Warping." In 2012 3rd International Conference on Image Processing Theory, Tools and Applications (IPTA). IEEE, 2012. http://dx.doi.org/10.1109/ipta.2012.6469516.

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Tuan, Pham Minh, Mouloud Adel, Nguyen Linh Trung, and Eric Guedji. "Dynamic Time Warping-based distance for constructing individual brain networks from FDG-PET Images: Application to Alzheimer’s Disease." In 2023 Twelfth International Conference on Image Processing Theory, Tools and Applications (IPTA). IEEE, 2023. http://dx.doi.org/10.1109/ipta59101.2023.10320083.

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Bai, Lu, Lixin Cui, Yue Wang, Yuhang Jiao, and Edwin R. Hancock. "A Quantum-inspired Entropic Kernel for Multiple Financial Time Series Analysis." In Twenty-Ninth International Joint Conference on Artificial Intelligence and Seventeenth Pacific Rim International Conference on Artificial Intelligence {IJCAI-PRICAI-20}. California: International Joint Conferences on Artificial Intelligence Organization, 2020. http://dx.doi.org/10.24963/ijcai.2020/614.

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Network representations are powerful tools for the analysis of time-varying financial complex systems consisting of multiple co-evolving financial time series, e.g., stock prices, etc. In this work, we develop a new kernel-based similarity measure between dynamic time-varying financial networks. Our ideas is to transform each original financial network into quantum-based entropy time series and compute the similarity measure based on the classical dynamic time warping framework associated with the entropy time series. The proposed method bridges the gap between graph kernels and the classical dynamic time warping framework for multiple financial time series analysis. Experiments on time-varying networks abstracted from financial time series of New York Stock Exchange (NYSE) database demonstrate that our approach can effectively discriminate the abrupt structural changes in terms of the extreme financial events.
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Bowden, Anton E., Richard D. Rabbitt, and Jeffrey A. Weiss. "Warping Template Finite Element Models Into Alignment With Subject Specific Image Data." In ASME 1998 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 1998. http://dx.doi.org/10.1115/imece1998-0144.

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Abstract Detailed finite element (FE) models of biological tissues and structures are typically generated from medical image data collected from one individual subject — a process which draws from an array of segmentation and mesh generation tools. The geometric model is augmented with material constitutive properties as well as natural and essential boundary conditions. This is a time consuming process which is exacerbated by the inhomogeneity and anisotropy of biological structures. Even after the model is complete its application is usually limited to a single subject owing to geometric and constitutive variations between individuals. In many cases, however, it is possible to account for geometric variations by deforming the geometry of the detailed FE model to reflect the anatomy of an individual subject. In the present work this alignment is achieved automatically by using medical image data to drive a nonlinear deformation process termed anatomical warping.
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Wu, Jiahao, Rattikan Chantiwas, Steven A. Soper, and Sunggook Park. "Fabrication of Cost-Effective Polymer-Based Nanofluidic Device for Single Molecular Analysis." In ASME 2010 International Mechanical Engineering Congress and Exposition. ASMEDC, 2010. http://dx.doi.org/10.1115/imece2010-38885.

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A nanochannel based single molecular sensor was fabricated in poly(methyl methacrylate) substrate by a single step imprinting process with a polymer stamp. The sensor structure consists of hierarchical multiscale patterns of an array of 90 nm (depth) × 190 nm (width) × 80 μm (length) nanochannels and microfluidic networks. In contrast to nanofluidic devices fabricated by high-end nanofabrication tools such as focused ion beam milling and electron beam lithography, this direct imprint process is more desirable for efficient and low cost fabrication. Moreover, due to the reduction of stress generated during imprinting, this polymer stamp imprinting process can also reduce the deformation (warping) in molded substrates, and prevent the damage of expensive nanostructured stamp as well.
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9

Zhang, Qie, Bosen Du, Qingsong Li, and Kenneth Gullette. "WARpick: A 3D warping tool for seismic gather flattening." In SEG Technical Program Expanded Abstracts 2017. Society of Exploration Geophysicists, 2017. http://dx.doi.org/10.1190/segam2017-17684896.1.

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10

Hand, Steven D., and James F. F. Clark. "Metrology and Modeling Techniques Used to Compare Highly Accurate As-Built 3D Models to FEA Weld Distortion Predictions." In ASME 2005 Pressure Vessels and Piping Conference. ASMEDC, 2005. http://dx.doi.org/10.1115/pvp2005-71632.

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High accuracy laser scanning and three-dimensional modeling are critical requirements of weld distortion research and ultimately to the management of weld distortion. The significance of these requirements is based on an on-going fabrication project designed to validate FEA predictions of weld distortions typical of large curved steel structures. As built 3D models of a series of 1,300 square foot test beams are measured using Coherent Laser Radar for the purpose of determining deformations caused by the thermal affects of welding, i.e.: bending, warping and buckling. This paper describes tools and techniques currently used to minimize the un-certainty of measurements and maintain accuracy during the processing of point clouds into surfaced models. Further techniques are defined for generating 3D parametric models from finite element analysis results, and utilizing these models for direct comparison to the as-built 3D modeled results.
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