Relevant bibliographies by topics / Inverted Residual

Academic literature on the topic 'Inverted Residual'

Author: Grafiati
Published: 10 December 2022
Last updated: 28 January 2023

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Journal articles on the topic "Inverted Residual"

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Zhang, Feng, Xiaoyan Qian, Lei Han, and Yi Shen. "Inverted Residual Siamese Visual Tracking With Feature Crossing Network." IEEE Access 9 (2021): 27158–66. http://dx.doi.org/10.1109/access.2021.3056194.

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GIAMPAOLO, S. M., F. ILLUMINATI, A. DI LISI, and G. MAZZARELLA. "MASSIVE QUANTUM MEMORIES BY PERIODICALLY INVERTED DYNAMIC EVOLUTIONS." International Journal of Quantum Information 04, no. 03 (June 2006): 507–17. http://dx.doi.org/10.1142/s0219749906001955.

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We introduce a general scheme to realize perfect quantum state reconstruction and storage in systems of interacting qubits. This novel approach is based on the idea of controlling the residual interactions by suitable external controls that, acting on the inter-qubit couplings, yield time-periodic inversions in the dynamical evolution, thus cancelling exactly the effects of quantum state diffusion. We illustrate the method for spin systems on closed rings with XY residual interactions, showing that it enables the massive storage of arbitrarily large numbers of local states, and we demonstrate its robustness against several realistic sources of noise and imperfections.
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Kaneko, Hiroshi, Hiroshi Kitoh, Akiko Kitamura, Kenta Sawamura, and Tadashi Hattori. "Docking phenomenon and subsequent acetabular development after gradual reduction using overhead traction for developmental dysplasia of the hip over six months of age." Journal of Children's Orthopaedics 15, no. 6 (December 1, 2021): 554–63. http://dx.doi.org/10.1302/1863-2548.15.210143.

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Purpose This study aimed to explore the docking of the femoral head into the acetabulum after gradual reduction (GR) using traction for developmental dysplasia of the hip (DDH) and the impact on subsequent acetabular development. Methods A total of 40 patients with DDH (42 hips) undergoing GR using overhead traction and spica casting were retrospectively reviewed. The presence of inverted labrum and the coronal and axial femoral-acetabular distances (FADs) were compared between MRI immediately and five weeks after spica casting. The change in the acetabular index on anteroposterior pelvic radiographs were compared between hips with inverted labrum (residual group) and with normally-shaped labrum (normalized group) on follow-up MRI. Results The mean age at reduction was 13.1 months (7 to 33) and the mean follow-up duration was 7.7 years (4 to 11). The rate of inverted labrum and the FADs significantly decreased between the MRI scans (all p-values < 0.001), and previous Pavlik harness failure had no negative effect on these decreases. The acetabular indices at the ages of three and five years in the residual group were significantly larger than those in the normalized group (both p-values < 0.001). Residual acetabular dysplasia was seen in 84.2% of the residual group compared with 34.8% of the normalized group (p = 0.002). Conclusion The docking phenomenon can occur during spica casting following GR using traction in children with DDH between the ages of six months and three years. The remaining inverted labrum at the cast removal may negatively affect subsequent acetabular development. Level of evidence III - retrospective comparative study
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Zhang, Tianyu, Cuiping Shi, Diling Liao, and Liguo Wang. "Deep Spectral Spatial Inverted Residual Network for Hyperspectral Image Classification." Remote Sensing 13, no. 21 (November 7, 2021): 4472. http://dx.doi.org/10.3390/rs13214472.

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Convolutional neural networks (CNNs) have been widely used in hyperspectral image classification in recent years. The training of CNNs relies on a large amount of labeled sample data. However, the number of labeled samples of hyperspectral data is relatively small. Moreover, for hyperspectral images, fully extracting spectral and spatial feature information is the key to achieve high classification performance. To solve the above issues, a deep spectral spatial inverted residuals network (DSSIRNet) is proposed. In this network, a data block random erasing strategy is introduced to alleviate the problem of limited labeled samples by data augmentation of small spatial blocks. In addition, a deep inverted residuals (DIR) module for spectral spatial feature extraction is proposed, which locks the effective features of each layer while avoiding network degradation. Furthermore, a global 3D attention module is proposed, which can realize the fine extraction of spectral and spatial global context information under the condition of the same number of input and output feature maps. Experiments are carried out on four commonly used hyperspectral datasets. A large number of experimental results show that compared with some state-of-the-art classification methods, the proposed method can provide higher classification accuracy for hyperspectral images.
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Ade, Ogunde Adebisi, Oseghale Osezuwa Innocent, Olayode Fatoki, and Laoye Victoria Eshomomoh. "Modified Extended Inverted Weibull Distribution with Application to Neck Cancer Data." Journal of Mathematics Research 14, no. 2 (March 24, 2022): 39. http://dx.doi.org/10.5539/jmr.v14n2p39.

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This work introduces a new three-parameter modified extended inverted Weibull (MEIW) distribution which is a hybrid of the one-parameter inverted Weibull distribution. The density function of the MEIW can be expressed as a linear combination of the inverted Weibull densities. Some mathematical properties of the proposed MEIW model such as ordinary and incomplete moments, mean residual life, and mean waiting time, Tsallis entropy, moment generating function and order statistics are investigated. The maximum likelihood estimation method is considered to estimate the parameters of the MEIW model. The relevance of the MEIW model is studied via an application to neck cancer data.
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Wang, Zhikai, Satish C. Singh, and Mark Noble. "True-amplitude versus trace-normalized full waveform inversion." Geophysical Journal International 220, no. 2 (November 26, 2019): 1421–35. http://dx.doi.org/10.1093/gji/ggz532.

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SUMMARY Full waveform inversion (FWI) is a powerful method to estimate high-resolution physical parameters of the subsurface by iteratively minimizing the misfit between the observed and synthetic seismic data. Standard FWI algorithms measure seismic misfit between amplitude-preserved seismic data (true-amplitude FWI). However, in order to mitigate the variations in sources and recording systems acquired on complex geological structures and the physics that cannot be modelled using an approximation of the seismic wave equation, the observed and synthetic seismic data are normalized trace-by-trace and then used to perform FWI. Trace-by-trace normalization removes the amplitude effects related to offset variations and only keeps the phase information. Furthermore, trace-by-trace normalization changes the true amplitude difference because of different normalization factors used for the corresponding synthetic and observed traces. In this paper, we study the performance of true-amplitude FWI and trace-normalized-residual-based FWI in the time domain. The misfit function of trace-normalized-residual-based FWI is defined such that the adjoint source used in gradient calculation is the trace-normalized seismic residual. We compare the two inversion schemes with synthetic seismic data simulated on laterally invariant models and the more complex 2-D Marmousi model. In order to simulate realistic scenarios, we perform the elastic FWI ignoring attenuation to noisy seismic data and to the synthetic data modelled using a viscoelastic modelling scheme. Comparisons of seismic data and adjoint sources show that trace-by-trace normalization increases the magnitude of seismic data at far offsets, which are usually more cycle-skipped than those at near offsets. The inverted results on linear-gradient models demonstrate that trace-by-trace normalization increases the non-linearity of FWI, so an initial model with sufficient accuracy is required to guarantee the convergence to the global minimum. The inverted results and the final seismic residuals computed using seismic data without trace-by-trace normalization demonstrate that true-amplitude FWI provides inverted models with higher accuracy than trace-normalized-residual-based FWI, even when the unknown density is updated using density–velocity relationship in inversion or in the presence of noise and complex physics, such as attenuation.
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Yavuz Solmaz, Murat. "Residual Stress Analysis of Steel Fibre Reinforced Composite Inverted-Tooth Chains." Materials Testing 54, no. 10 (October 2012): 694–99. http://dx.doi.org/10.3139/120.110381.

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Liu Wanjun, 刘万军, 高明月 Gao Mingyue, 曲海成 Qu Haicheng, and 刘腊梅 Liu Lamei. "Light-Weight Multi-Object Detection Network Based on Inverted Residual Structure." Laser & Optoelectronics Progress 56, no. 22 (2019): 221003. http://dx.doi.org/10.3788/lop56.221003.

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Basavannaiah, Sphoorthi. "Tricky nasal mass from meek polyp to intricate papilloma: A diagnostic dilemma." IP Journal of Otorhinolaryngology and Allied Science 4, no. 3 (November 15, 2021): 115–18. http://dx.doi.org/10.18231/j.ijoas.2021.022.

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Inverted papilloma is a benign epithelial growth arising from the underlying stroma of the nasal cavity and paranasal sinuses. The pathogenesis of this lesion uptil date remains unclear. The tumor is known for its local invasiveness, rapid recurrence and link with malignancy. The recurrence rate of this tumor is usually too high that represents residual disease in most of the cases. Hence, it is mandate that the patient keeps a proper follow up on long term concerns. Here is one such patient, whose nasal mass seemed Antrochoanal polyp clinically but ended up as Inverted papilloma histopathologically.
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Chaudhary, Arun Kumar, and Laxmi Prasad Sapkota. "New modified Inverted Weibull Distribution: Properties and Applications to COVID-19 Dataset of Nepal." Pravaha 27, no. 1 (December 31, 2021): 1–12. http://dx.doi.org/10.3126/pravaha.v27i1.50603.

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We have developed a four parameters new modified inverted Weibull distribution and we named it exponentiated exponential inverted Weibull distribution. Linear representation of probability density function, reliability function, hazard function, moments about the origin and its generating function, mean residual life function, order statistics, two entropies namely Renyi and q-Entropy, and mean deviation for the proposed distribution are presented. For the parameter estimation the maximum likelihood, least-square, and Cramer-Von-Mises estimation methods are used. The application of the proposed distribution is analyzed using the deaths case of the COVID-19 dataset of Nepal from 1st April to 14th May 2021.
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Dissertations / Theses on the topic "Inverted Residual"

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Viles, Weston D. "Roller-Coaster Failure Rates and Mean Residual Life Functions." Fogler Library, University of Maine, 2008. http://www.library.umaine.edu/theses/pdf/VilesWD2008.pdf.

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Iracheta-Cabrera, Omar Adrian. "A holistic inverse approach on depth-sensing indentation characterisation and its application for predicting residual stresses in multi-phase inertia friction welds." Thesis, University of Nottingham, 2017. http://eprints.nottingham.ac.uk/44781/.

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The present study is concerned with the development of an inverse analysis of the depth-sensing indentation test based on a multi-objective function (MOF) optimisation model. The input data of this model are the load-displacement (P-h) curve extracted from the indentation instrument and the surface topography of the residual imprint left by the indenter after the removal of the load measured via atomic force microscopy (AFM). A Swift’s power law material model was considered to represent the indented material and thus, the output of the optimisation are the Young’s modulus (E), yield stress (σy) and strain-hardening exponent (n). The optimisation problem was designed to minimise the error between both the experimental and predicted P-h curves, i.e. the first objective, and pile-up profiles, i.e. the second objective, with the aim of addressing the non-uniqueness of the inverse analysis of indentation. A 3D FE model of the depth-sensing indentation test has been developed in ABAQUS in order to generate the predicted data from a set of trial material properties, i.e. E, σy and n. The generation of FE input files (pre-processor) and extraction of FE output files (post-processor) have been automated through MATLAB and Python subroutines. The optimisation problem was solved by the trust-region reflective algorithm available in the MATLAB Optimization ToolboxTM and thus, concisely, the model minimised the experimental and predicted data by modifying iteratively the material properties, starting from the initial guess properties specified by the user, until convergence was reached. Upon convergence, the material properties were said to describe the elastic-plastic behaviour of the indented material. A comprehensive experimental programme was carried out in order to investigate the load dependency of the indentation response of three different materials, including a steel (CrMoV), a titanium alloy (Ti-6Al-4V) and a high-purity copper (C110). The study of the topography of the residual imprints provided a better understanding of the effects of the microstructural arrangement on the plastic displacement of material beneath the indenter. The extent of piling-up was observed to be very sensitive to the difference in material properties from grain to grain and the crystallographic plane of the indented grain. Furthermore, it was concluded that the structural arrangement of the indented material may also contribute to the asymmetry observed in the pile-up profiles, in particular in materials with large grains relative to the projected area of the indenter, e.g. C110. This piece of work therefore, is suggested as a guideline for the use of height measurements of the residual imprint in the characterisation of the plastic behaviour of materials. The multi-objective function optimisation model is proved to be a step forward to the characterisation of the near-surface properties as, in contrast to the P-h curve, the residual imprint is strongly linked to the plastic behaviour of the indented material. Therefore, the physics governing the indentation problem were better represented. Therefore, the optimised P-h curve provided a very good fit to the corresponding experimental curve, to within an error of less than 2.4% and 8.4% the maximum (hmax) and residual (hr) depth, respectively, for all three materials, CrMoV steel, C110 copper and Ti-6Al-4V. Furthermore, a deviation of less than 12.4% was achieved between the area of indentation provided by the FE model and AFM instrument. Additionally, the value of maximum peak height (hpeak) was predicted with a maximum error of 11% in relation with the experimental pile-up profiles. Therefore, it was concluded that the optimised solution provided a very good representation of the complex mechanical response to indentation such that the volume of plastically displaced material as predicted by the optimised FE model was observed notably in accordance with experimental measurements. Furthermore, the complementary information provided by the second objective function allowed the model to distinguish between different materials showing identical indentation response – referred to in the literature as ‘mystical’ materials. In addition, a key outcome of this investigation suggested that stress-strain curves generated by mechanical tests performed at different scales, exhibit similar behaviour with only the magnitude of the stress increasing or decreasing depending upon the scale. Part of this thesis is dedicated to the application of the proposed inverse analysis for the characterisation of three phases located across the joint of a like-to-like inertia friction weld of SCMV steel, including martensite in the tempered, quenched and over-tempered condition. This study, characterised the generation of residual stresses into two stages: the thermal strain dominated initial cooling period that accounts for the majority of the residual stresses, and the phase transformation strain dominated final cooling period. In addition, it was concluded that at the onset of transformation from austenite to martensite, the volumetric changes experienced in the lattice relax up to 70% of the predicted tensile hoop stress found in the vicinity of the weld line near the inner surface and that the interaction of soft regions of austenite and hard regions of heat unaffected martensite accounts for up to 17% of the peak tensile stress. The indentation response of the set of optimised properties that represent each of the phases, was in very good agreement with the corresponding P-h curve and residual pile-up profile extracted from the indentation instrument and AFM, respectively. The capability of the inverse analysis to build the stress-strain relationship in the elastic-plastic regime using the optimised mechanical properties of the parent metal has been validated using experimental data extracted from the compressive test of an axisymmetric sample of tempered martensite [1]. The inclusion of the softer over-tempered martensite phase allowed the FE prediction to determine the proportion of the heat affected zone (HAZ) comprised by each phase in better agreement with the experimental weld-trial. Based on the interpretation of the microhardness test performed across the weld, the harder region formed due to the quenching process extends approximately 54% the length of the HAZ, whereas the rest 46% is comprised by the softer over-tempered martensitic phase. According to the FE prediction, the heat affected zone was composed by a proportion of 57% quenched martensite and 43% over-tempered martensite. Moreover, the distance from the weld line to the region where martensite fully tempered was observed to extend 79 and 71% the length of the HAZ, as determined by the FE model and experimental measurements, respectively. The presence of a softer region, OTM, between two harder regions, namely QM and TM, relaxed 7 to 11%, 1 to 6% and 12.8 to 15.3% the peak values of stress in the radial, axial and hoop directions respectively. A key observation from the results of the FE prediction was that the peak hoop residual stress is located at the boundary of the quenched and over-tempered martensite, and not at the edge of the heat affected zone. This observation was in agreement with the residual stress measurements published by Moat et al. [2].
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Uriarte, Sabín Leticia. "Inverse Heat Conduction problem of the Quenching a Rotary Cylinder by Multiple Water Impinging Jets." Thesis, Högskolan i Gävle, Avdelningen för byggnadsteknik, energisystem och miljövetenskap, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:hig:diva-36529.

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The thesis deals with solving the time dependent inverse heat conduction and heat transfer problem of the quenching process of a rotary solid cylinder by multiple impinging water jets. The development of such investigation consists of two parts that complement each other. As is the case of any scientific experiment, first of all, an initial hypothesis will be set to be demonstrated theoretically. The numerical validation is carried out with a series of artificial cooling curve data and sensitivity analyses in the inverse solution. Then, a series of recorded temperature data were implemented into the inverse solution to predict the surface heat transfer during the quenching process.The numerical study consists of the solution of a two-dimensional linear time dependent inverse heat conduction problem based on the Generalized Minimal Residual Method (GMRES). The inverse solution method is based on the solution of an iterative problem, validated by a set of artificial temperature data. Such solution allows the prediction of the surface temperature and heat flux distribution in the quenching process, making use of recorded internal temperatures of the specimen. In order to solve the problem, the Matlab and Comsol Multiphysics programs were used. The GMRES algorithm was written as Matlab code, while the computational domain was defined in Comsol Multiphysics. Moreover, both programs collaborated in the solution of the inverse problem. Once the problem was solved, a sensitivity analysis was carried out in order to study the dependence of the numerical result on various parameters and optimize the inverse solution setup for application of recorded experimental data.The validated inverse solution setup examined by the sensitivity analyses was used on a set of experimental data, allowing the demonstration of the initially proposed hypothesis. This sensitivity analyses were performed consecutively for different key parameters regarding the numerical definition of the problem. The values for the parameters were considered optimal when minimum values for the error of the predicted surface temperature were recorded. In this case, the analyzed parameters were the m-value, mesh cell size, effect of noise, initial quenching temperature and quenching cooling rate. The connection between the experimental and numerical studies is obvious, as the first oneprovides the latter with input data of the inner temperature data of the specimen for the solving of the inverse problem, as is the case of the practical application of the code developed in the present thesis, and the inverse solution is essential in order to predict thesurface temperature and heat flux that are key information in studying quenching systems.
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Alamri, Yosef Abdulrahman. "THREE ESSAYS ON SAUDI ARABIA AGRICULTURAL MARKETS." UKnowledge, 2019. https://uknowledge.uky.edu/agecon_etds/79.

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The first essay compares six common models, linear, quadratic, Cobb-Douglas, translog, logarithmic, and transcendental, to estimate wheat yield and area functions for Saudi Arabia. Data cover 1990-2016 for all the variables that affect wheat supply. After testing the models using Box-Cox, multicollinearity, and autocorrelation tests, we decide that the Cobb-Douglas models provide the best fit for both yield and area. We find the price elasticity of wheat is inelastic. Yield price elasticities are more inelastic than area elasticities. The impact of government policy number 335 has a larger effect on area than yield. The cultivated area of wheat, the one-year lag of yield, and the number of machines per hectare are the most influential factors affecting wheat yield. The primary factors influencing the area models are a one-year lag of both cultivated area and yield, as well as the number of machines per hectare. The second essay estimates the residual demand elasticity that rice exporters face in Saudi Arabia. The inverse residual demand methods, as proposed by Reed and Saghaian 2004, are used for rice exporters to Saudi Arabia during the period 1993-2014. Estimation results of the elasticities of the residual demand indicate that Australia, India, and Pakistan enjoy market power, while Egypt faces a perfectly elastic demand curve. We find Thailand and the US had positive inverse residual demand which means they also have no market power. The last essay is about the virtual water trade in Saudi Arabia. Using the concept of virtual water introduced by Allan 1994 and developed by Hoekstra and Hung (2002), we estimate virtual water trade for 20 crops of Saudi Arabia during 2000-2016. Our result shows the average virtual water trade was 12.5 billion m3/year. Saudi has net virtual water imports, with the most significant virtual water imports coming from cereals & alfalfa and vegetables; and there is net virtual water export of fruit. Saudi virtual water trade reduces pressure on water resources by 52%. Distance plays a role in Saudi virtual water export; we found that more than 90% of exports go to neighboring countries, including 45% to GCC countries. More than 30% of virtual water imports come from Europe. A Gravity model is used to investigate whether water scarcity variables influence trade. We compare the OLS, Fixed effects, Random effects, and PPML estimators to get the best model. The AIC, and tests for multicollinearity, and heteroskedasticity assist in determining estimation procedures and the final models. We cluster the errors by distance to improve the specific country effect variables such as economic mass variables. For the cereals and alfalfa group, we find that water-related variables influence virtual water imports of cereals, millet, sorghum, corn, barley, and sesame. Therefore, we suggest that a basic gravity model be applied to the other crops. In the vegetable group, we find that related water variables impact virtual water trade for all crops except marrow. Dates are the only fruit crop that are not influenced by the water-related variables.
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Britez, Diego. "Modélisation d'un processus de mise en forme intégrant l’interaction entre procédés dans le comportement du matériau." Thesis, Bordeaux, 2022. http://www.theses.fr/2022BORD0219.

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Le contexte industriel actuel impose l’optimisation des ressources de production, notamment des matières premières et de l’énergie consommée. Cet engagement ne répond pas seulement aux critères de compétitivité liés aux coûts de production mais aussi à l’impact environnemental du processus global de fabrication. Pour répondre à ce problème, il est nécessaire de disposer de modèles pour définir des stratégies d'optimisation efficientes tout au long du processus complet de mise en forme d'une pièce mécanique.La plupart des lois de comportement habituellement utilisées pour modéliser le comportement des matériaux métalliques dans les procédés de transformation, sont caractérisées par un comportement isotrope. Ces modèles sont efficaces pour prédire le comportement d’un procédé sous chargement proportionnel, mais par définition ne peuvent pas prendre en compte l’anisotropie développée durant l’écrouissage. Cette caractéristique ne permet pas de prendre en compte les effets de l’interaction entre les différents procédés constitutifs du processus. Ce travail explore les lois de comportement phénoménologiques capables de modéliser ce phénomène afin d’obtenir un modèle précis du processus global. Sachant que la modélisation de chaque procédé nécessite un solveur et des mises en œuvre particulières, une méthodologie de travail ainsi que les outils numériques nécessaires pour gérer les variables d’état du processus ont été développés. Cette méthodologie permet un suivi des valeurs de variables d’écrouissage tout au long de la simulation du processus.Ce travail explore également des l'estimation du profil des contraintes résiduelles obtenu par des méthodes de mesure destructives afin en confrontant les résultats de simulations avec des données expérimentales. Une nouvelle méthodologie basée sur l’analyse inverse est développée et mise en œuvre. La nouvelle méthode est comparée avec les résultats obtenus avec deux méthodes destructives de référence. Les résultats obtenus dans cette application montrent une diminution à la fois de l'erreur et du niveau d'incertitude
The current industrial context requires the optimization of production resources, particularly raw materials and energy consumption. This commitment does not only meet the criteria of competitiveness related to production costs but also to the environmental impact of the overall manufacturing process. To solve this problem, is required a mode to define optimization strategies through a complete forming process during a mechanical part manufacturing.Most behavior laws used for metals, dedicated to perform simulations of forming and machining processes are characterized by an isotropic behavior. These models are effective in predicting the behavior under proportional loading, but by definition cannot consider the anisotropy developed during work hardening. This limitation makes it impossible to take to consider the interaction effects between the different stages of the manufacturing process. This work goes through the phenomenological behavior laws capable of modeling this phenomenon, in order to obtain an accurate model of the overall process. Knowing that the modeling of each process stage requires a solver and specific definitions, a methodology as well as numerical tools necessary to manage the hardening variables along the process have been developed. This methodology allows a traceability of the values of hardening variables throughout the simulation of the process, dividing the global simulation, admitting the use of different solvers or software.This work explores the profile estimation obtained with destructive residual stresses measurement methods in order to compare simulation results with experiments. A new methodology using inverse analysis is developed and implemented. From numerical generated data, the new method is applied and compared with two destructive reference methods. The results in this application show, a decrease in both the error and the uncertainty level
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Ferreira, Anderson Moura. "Avaliação de proposições matemáticas para interpretação do comportamento de solos residuais não saturados." Universidade do Estado do Rio de Janeiro, 2010. http://www.bdtd.uerj.br/tde_busca/arquivo.php?codArquivo=2485.

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Nas últimas décadas, teorias têm sido formuladas para interpretar o comportamento de solos não saturados e estas têm se mostrado coerentes com resultados experimentais. Paralelamente, várias técnicas de campo e de laboratório têm sido desenvolvidas. No entanto, a determinação experimental dos parâmetros dos solos não saturados é cara, morosa, exige equipamentos especiais e técnicos experientes. Como resultado, essas teorias têm aplicação limitada a pesquisas acadêmicas e são pouco utilizados na prática da engenharia. Para superar este problema, vários pesquisadores propuseram equações para representar matematicamente o comportamento de solos não saturados. Estas proposições são baseadas em índices físicos, caracterização do solo, em ensaios convencionais ou simplesmente em ajustes de curvas. A relação entre a umidade e a sucção matricial, convencionalmente denominada curva característica de sucção do solo (SWCC) é também uma ferramenta útil na previsão do comportamento de engenharia de solos não saturados. Existem muitas equações para representar matematicamente a SWCC. Algumas são baseadas no pressuposto de que sua forma está diretamente relacionada com a distribuição dos poros e, portanto, com a granulometria. Nestas proposições, os parâmetros são calibrados pelo ajuste da curva de dados experimentais. Outros métodos supõem que a curva pode ser estimada diretamente a partir de propriedades físicas dos solos. Estas propostas são simples e conveniente para a utilização prática, mas são substancialmente incorretas, uma vez que ignoram a influência do teor de umidade, nível de tensões, estrutura do solo e mineralogia. Como resultado, a maioria tem sucesso limitado, dependendo do tipo de solo. Algumas tentativas têm sido feitas para prever a variação da resistência ao cisalhamento com relação a sucção matricial. Estes procedimentos usam, como uma ferramenta, direta ou indiretamente, a SWCC em conjunto com os parâmetros efetivos de resistência c e . Este trabalho discute a aplicabilidade de três equações para previsão da SWCC (Gardner, 1958; van Genuchten, 1980; Fredlund; Xing, 1994) para vinte e quatro amostras de solos residuais brasileiros. A adequação do uso da curva característica normalizada, proposta por Camapum de Carvalho e Leroueil (2004), também foi investigada. Os parâmetros dos modelos foram determinados por ajuste de curva, utilizando técnicas de problema inverso; dois métodos foram usados: algoritmo genético (AG) e Levenberq-Marquardt. Vários parâmetros que influênciam o comportamento da SWCC são discutidos. A relação entre a sucção matricial e resistência ao cisalhamento foi avaliada através de ajuste de curva utilizando as equações propostas por Öberg (1995); Sällfors (1997), Vanapalli et al., (1996), Vilar (2007); Futai (2002); oito resultados experimentais foram analisados. Os vários parâmetros que influênciam a forma da SWCC e a parcela não saturadas da resistência ao cisalhamento são discutidos.
In the last decades, theories have been formulated to interpret the behavior of unsaturated soils and found to be consistent with the experimental response. Besides, several techniques for field and laboratory testing have been developed, as well. However, the experimental determination of unsaturated soil parameters is costly, time-consuming, requires particular test equipments and experienced technicians. As a result, these theories application are limited to academic researches and are barely used in engineering practice. To overcome this issue, several researchers proposed equations to mathematically represent the experimental behavior unsaturated soils. These propositions are based on physical indexes, soil characterization, and current laboratory tests or simply curve fitting. The relationship of soil-water content and matric suction, conventionally referred to as the soil-water characteristic curve (SWCC) is also useful tool in the prediction of the engineering behavior of unsaturated soils. There are many equations to mathematically represent SWCC. Some are based on the assumption that its shape is directly related to the pore distribution, and, therefore, the grain size distribution. In these propositions the parameters are calibrated by curve adjustment of the experimental data. Others assume that the curve can be directly estimated from physical properties of soils. These proposals are simple and convenient for practical use, but are substantially incorrect since they disregard the influence of moisture content, stress level, soil structure and mineralogy. As a result, most of them have limited success depending on soil types. Some attempts have also been made to predict the variation of the shear strength with respect to matric suction. These procedures use SWCC as a tool either directly or indirectly along with the saturated strength parameters c and . This work discusses the applicability of three SWCC equations (Gardner, 1958; van Genuchten, 1980; and Fredlund and Xing, 1994) for twenty four residual soils from Brazil. The suitability of the normalized soil-water characteristic curve, proposed by Camapum de Carvalho and Leroueil (2004), was also investigated. Models parameters were determined by curve fitting, using inverse problem techniques; two optimization methods were used: Genetic Algorithm (GA) and Levenberq-Marquardt method. Several parameters that influence the SWCC behavior are discussed, as well. The relationship between matric suction and shear strength was evaluated by curve fitting using the equations proposed by Öberg and Sällfors (1995, 1997), Vanapalli et al., (1996), Vilar (2007) and Futai (2002); eight experimental results were analyzed. Several parameters that influence the SWCC behavior and the unsaturated shear strength are discussed, as well.
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Shivashankar, Nithin. "Design and Analysis of Modular Architectures for an RNS to Mixed Radix Conversion Multi-processor." University of Cincinnati / OhioLINK, 2014. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1396531505.

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Nilsson, Martin. "Fast Numerical Techniques for Electromagnetic Problems in Frequency Domain." Doctoral thesis, Uppsala : Acta Universitatis Upsaliensis : Univ.-bibl. [distributör], 2003. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-3884.

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Barrat-Charlaix, Pierre. "Comprendre et améliorer les modèles statistiques de séquences de protéines." Electronic Thesis or Diss., Sorbonne université, 2018. http://www.theses.fr/2018SORUS378.

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Dans les dernières décennies, les progrès des techniques expérimentales ont permis une augmentation considérable du nombre de séquences d'ADN et de protéines connues. Cela a incité au développement de méthodes statistiques variées visant à tirer parti de cette quantité massive de données. Les méthodes dites co-évolutives en font partie, utilisant des idées de physique statistique pour construire un modèle global de la variabilité des séquences de protéines. Ces méthodes se sont montrées très efficaces pour extraire des informations pertinentes des seules séquences, comme des contacts structurels ou les effets mutationnels. Alors que les modèles co-évolutifs sont pour l'instant utilisés comme outils prédictifs, leur succès plaide pour une meilleure compréhension de leur fonctionnement. Dans cette thèse, nous proposons des élaborations sur les méthodes déjà existantes tout en questionnant leur fonctionnement. Nous étudions premièrement sur la capacité de l'Analyse en Couplages Directs (DCA) à reproduire les motifs statistiques rencontrés dans les séquences des familles de protéines. La possibilité d'inclure d'autres types d'information comme des effets mutationnels dans cette méthode est présentée, suivie de corrections potentielles des biais phylogénétiques présents dans les données utilisées. Finalement, des considérations sur les limites des modèles co-évolutifs actuels sont développées, de même que des suggestions pour les surmonter
In the last decades, progress in experimental techniques have given rise to a vast increase in the number of known DNA and protein sequences. This has prompted the development of various statistical methods in order to make sense of this massive amount of data. Among those are pairwise co-evolutionary methods, using ideas coming from statistical physics to construct a global model for protein sequence variability. These methods have proven to be very effective at extracting relevant information from sequences, such as structural contacts or effects of mutations. While co-evolutionary models are for the moment used as predictive tools, their success calls for a better understanding of they functioning. In this thesis, we propose developments on existing methods while also asking the question of how and why they work. We first focus on the ability of the so-called Direct Coupling Analysis (DCA) to reproduce statistical patterns found in sequences in a protein family. We then discuss the possibility to include other types of information such as mutational effects in this method, and then potential corrections for the phylogenetic biases present in available data. Finally, considerations about limitations of current co-evolutionary models are presented, along with suggestions on how to overcome them
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Capron, Adélie. "Towards the predictive FE analysis of a metal/composite booster casing’s thermomechanical integrity." Doctoral thesis, Universite Libre de Bruxelles, 2020. https://dipot.ulb.ac.be/dspace/bitstream/2013/314767/5/contratAC.pdf.

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In response to serious environmental and economic concerns, the design and production of aircrafts have been changing profoundly over the past decades with the nose-to-tail switch from metallic materials to lightweight composite materials such as carbon fibre reinforced plastic (CFRP). In this context, the present doctoral research work aimed to contribute to the development of a CFRP booster casing, a real innovation in the field initiated and conducted by Safran Aero Boosters. More specifically, this thesis addresses the matter of joining metal/CFRP hybrid structures, which are prone to possibly detrimental residual stresses.The issue is treated with an approach combining experimental characterisation and finite element (FE) simulations. The multi-layered system’s state of damage was systematically examined on hundreds of micrographs, and the outcome of this study is presented under the form of a statistical analysis. Further, the defects’ 3D morphology is investigated by incremental polishing. A number of thermal and mechanical properties are measured by diverse physical tests on part of the constituent materials, i.e. the aerospace grade RTM6 epoxy resin, the structural Redux 322 epoxy film adhesive, and AISI 316L stainless steel. They are used as input data in a FE model of the multilayer that is developed and progressively refined to obtain detailed residual stress fields after thermal loading. These results are compared to experimental data acquired by X-ray diffraction stress analysis and with the curvature-based Stoney formula. Cohesive elements are placed at specific locations within the FE model to allow simulating progressive damage. Peel tests, mode I, mode II and mixed mode I/II fracture tests are thus performed in view of measuring the joint toughness. The results of these tests are discussed and the presence of residual stress in the fracture specimens is highlighted. Key information for the calibration of the cohesive law is finally identified via inverse FE analysis of the mode I test, this being a significant step in the process of building a damage predictive FE model of the multi-layered system.
Doctorat en Sciences de l'ingénieur et technologie
info:eu-repo/semantics/nonPublished
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Books on the topic "Inverted Residual"

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Baldi, Antonio, Sharlotte L. B. Kramer, Fabrice Pierron, John Considine, Sven Bossuyt, and Johan Hoefnagels, eds. Residual Stress, Thermomechanics & Infrared Imaging and Inverse Problems, Volume 6. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-30098-2.

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Quinn, Simon, and Xavier Balandraud, eds. Residual Stress, Thermomechanics & Infrared Imaging, Hybrid Techniques and Inverse Problems, Volume 9. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-42255-8.

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Baldi, Antonio, Simon Quinn, Xavier Balandraud, Janice M. Dulieu-Barton, and Sven Bossuyt, eds. Residual Stress, Thermomechanics & Infrared Imaging, Hybrid Techniques and Inverse Problems, Volume 7. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-319-95074-7.

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Bossuyt, Sven, Gary Schajer, and Alberto Carpinteri, eds. Residual Stress, Thermomechanics & Infrared Imaging, Hybrid Techniques and Inverse Problems, Volume 9. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-21765-9.

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Baldi, Antonio, John M. Considine, Simon Quinn, and Xavier Balandraud, eds. Residual Stress, Thermomechanics & Infrared Imaging, Hybrid Techniques and Inverse Problems, Volume 8. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-62899-8.

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Rossi, Marco, Marco Sasso, Nathanael Connesson, Raman Singh, Adrian DeWald, David Backman, and Paul Gloeckner, eds. Residual Stress, Thermomechanics & Infrared Imaging, Hybrid Techniques and Inverse Problems, Volume 8. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-00876-9.

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Quinn, Simon, and Xavier Balandraud. Residual Stress, Thermomechanics & Infrared Imaging, Hybrid Techniques and Inverse Problems, Volume 9. Springer, 2018.

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Quinn, Simon, and Xavier Balandraud. Residual Stress, Thermomechanics & Infrared Imaging, Hybrid Techniques and Inverse Problems, Volume 9: Proceedings of the 2016 Annual Conference on ... Society for Experimental Mechanics Series). Springer, 2016.

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9

Smith, Martin Cruz, and Xavier Balandraud. Residual Stress, Thermomechanics and Infrared Imaging, Hybrid Techniques and Inverse Problems, Volume 9: Proceedings of the 2016 Annual Conference on Experimental and Applied Mechanics . Springer London, Limited, 2016.

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Springer. Residual Stress, Thermomechanics and Infrared Imaging, Hybrid Techniques and Inverse Problems Vol. 8. Springer London, Limited, 2013.

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Book chapters on the topic "Inverted Residual"

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Li, Yuancheng, Yufei Bao, Shaofa Shang, and Mei Wang. "Face Recognition Based on Inverted Residual Network in Complex Environment of Mine." In Communications in Computer and Information Science, 287–98. Singapore: Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-7943-9_25.

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Xia, Menghan, and Tien-Tsin Wong. "Deep Inverse Halftoning via Progressively Residual Learning." In Computer Vision – ACCV 2018, 523–39. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-20876-9_33.

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Olson, Mitchell D., Adrian T. DeWald, and Michael R. Hill. "Regularization Uncertainty in Slitting Residual Stress Measurement." In Residual Stress, Thermomechanics & Infrared Imaging and Inverse Problems, Volume 6, 1–7. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-30098-2_1.

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Olson, Mitchell D., Michael R. Hill, Jeremy S. Robinson, Adrian T. DeWald, and Victor Sloan. "Residual Stress Mapping with Multiple Slitting Measurements." In Residual Stress, Thermomechanics & Infrared Imaging, Hybrid Techniques and Inverse Problems, Volume 9, 319–30. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-21765-9_39.

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Baldi, Antonio, and Filippo Bertolino. "A Low-Cost Residual Stress Measuring Instrument." In Residual Stress, Thermomechanics & Infrared Imaging, Hybrid Techniques and Inverse Problems, Volume 9, 113–19. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-42255-8_15.

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Yousefi, Mohammad, Xavier Balandraud, and Wael A. Samad. "Stress Determination for Granular Materials Using TSA: An Inverse Approach." In Residual Stress, Thermomechanics & Infrared Imaging and Inverse Problems, Volume 6, 111–17. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-30098-2_17.

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Hu, Changhua, Hongdong Fan, and Zhaoqiang Wang. "Inverse Gaussian Process-Based Degradation Modeling and Residual Life Prediction." In Residual Life Prediction and Optimal Maintenance Decision for a Piece of Equipment, 99–116. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-2267-0_5.

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D’Elia, Christopher R., Michael R. Hill, Michael E. Stender, and Christopher W. San Marchi. "Residual Stresses at Critical Locations in Additively-Manufactured Components." In Residual Stress, Thermomechanics & Infrared Imaging and Inverse Problems, Volume 6, 49–57. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-30098-2_8.

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Fairfax, E. J., and M. Steinzig. "A Summary of Failures Caused by Residual Stresses." In Residual Stress, Thermomechanics & Infrared Imaging, Hybrid Techniques and Inverse Problems, Volume 9, 209–14. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-21765-9_26.

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Casavola, C., A. Cazzato, V. Moramarco, and G. Pappalettera. "Preliminary Study on Residual Stress in FDM Parts." In Residual Stress, Thermomechanics & Infrared Imaging, Hybrid Techniques and Inverse Problems, Volume 9, 91–96. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-42255-8_12.

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Conference papers on the topic "Inverted Residual"

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Joshi, Sanket Ramesh, and Mohamed El-Sharkawy. "HBONext: HBONet with Flipped Inverted Residual." In 2021 IEEE International Conference on Design & Test of Integrated Micro & Nano-Systems (DTS). IEEE, 2021. http://dx.doi.org/10.1109/dts52014.2021.9498121.

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Shah, Kanishk, and Khushali Deulkar. "Lightweight Apparel Classification with Residual and Inverted Residual Block based Architectures." In 2021 IEEE Cloud Summit (Cloud Summit). IEEE, 2021. http://dx.doi.org/10.1109/ieeecloudsummit52029.2021.00017.

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Yang, Hao, Dongsheng Li, and Yiming Xu. "SAR target recognition based on inverted residual and knowledge distillation." In International Conference on Advanced Algorithms and Neural Networks (AANN 2022), edited by Rajeev Tiwari. SPIE, 2022. http://dx.doi.org/10.1117/12.2637166.

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Okano, Shigetaka, and Masahito Mochizuki. "Mitigation of Welding-Induced Tensile Residual Stress at Surface of Heavy Section Plate by In-Process Control Welding With Trailing Heat Sink." In ASME 2013 Pressure Vessels and Piping Conference. American Society of Mechanical Engineers, 2013. http://dx.doi.org/10.1115/pvp2013-98071.

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In this study, in-process control welding with a trailing heat sink was applied to mitigate the weld tensile residual stress at the surface of a heavy section plate of low-carbon austenitic stainless steel. The distribution of the weld residual stress at the surface of the plate was evaluated by X-ray stress measurement and finite element analysis. As the results, it was experimentally and analytically confirmed that the welding-induced tensile residual stress at the welded surface was mitigated by welding with a trailing heat sink. Also, the measurement and simulation results were in good agreement. Based on the simulation results, the mechanisms of mitigation of the residual stress by welding with a trailing heat sink were discussed. It was concluded that the mitigation of the weld residual stress is due to the inverted gradient of temperature from the welded surface to the deepest parts of the plate.
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Arakelyan, Vigen, and Yang Zhang. "Improvement of the Balancing Accuracy in Gravity Compensators Based on the Inverted Slider Crank Mechanism." In ASME 2018 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2018. http://dx.doi.org/10.1115/detc2018-85361.

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The static balancing of mechanical systems is an important issue because it allows significant reduction of torques. However the literature review shows that in many cases the gravity balancing of mechanical systems is carried out by neglecting the masses of auxiliary links associated to the principal mechanism. For many balancing schemes it is the source of errors. This paper deals with an improved solution for gravity compensators based on the inverted slider crank mechanism considering the masses of the rocker and the spring. For this purpose, the torques due to auxiliary links are determined. Then, they are introduced into the balancing equation for minimization of the residual unbalance. In this way, a more accurate balancing of gravity compensators is achieved. The efficiency of the suggested approach is illustrated by numerical simulations.
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Nguyen, The, Jakkarin Iamboon, Piyanuch Nampratchayakul, Nirut Tongpan, Ye Yint Htun, and Dong Tran. "Improving Accuracy of Checkshot Time-Depth by Applying Advanced Model-Based Correction for Rig-Source Survey on a Highly Inclined Well." In IADC/SPE Asia Pacific Drilling Technology Conference. SPE, 2021. http://dx.doi.org/10.2118/201077-ms.

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Abstract In seismic exploration, checkshot survey is an important method to obtain accurate time-depth profile for depth-to-time or time-to-depth conversion. However, the standard geometry correction for a rig-source survey in a high-inclination well will not provide a reliable time-depth result due to ray-bending effect. The objective of this study was to enhance the accuracy of the time-depth velocity by utilizing an advanced technique called model-based correction or pseudo walk-above simulation. To obtain model-based vertical times, a flat-layered velocity model was built by using the checkshot velocities as initial guess. The model was then inverted to match the observed checkshot travel times, which were the actual measurement of travel path from source to receivers. The model was iterated to minimize the residual between the observed and modeled travel times in a least-square sense. A pseudo walk-above checkshot simulation was run on the inverted model by positioning the sources exactly on top of the receivers to get the vertical times, which were used for the final time-depth relationship and further image processing. The residual times of less than 1 millisecond (ms) were observed between the actual measured transit times and modeled travel times from a fixed source to the receivers in the inverted model. This demonstrated the inverted model was realiable to use for obtaining more accurate vertical time-depth through pseudo walk-above checkshot simulation. This optimal inverted model was considered as the best estimation of the true earth model in this case. A comparison of modeled vertical times estimated through the pseudo walk-above simulation and calculated vertical times using standard geometry correction were done. The difference between the two scenarios was 6 ms one-way time (OWT) demonstrated the reduction of 6 ms uncertainty of using the advanced model-based correction versus the standard geometry correction. In short, the advanced technique delivered more reliable time-depth velocity information to reduce depth uncertainties for drilling operation. The walk-above or vertical incidence checkshot survey, which required boat and navigation system, was unable to acquire in a highly deviated well due to very bad weather conditions. The rig-source survey was carried out instead of employing the walk-above survey in this project. The standard geometry correction using simple trigonometry was not able to provide the correct vertical times. The advanced model-based correction was the optimal solution to improve the accuracy of checkshot time-depth velocity data.
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Herbst, Brian, Steven Forrest, Steven E. Meyer, David Chng, Mark Davis, and Anthony Sances. "Vehicle Crashworthiness in Vertical Drop Tests." In ASME 2000 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2000. http://dx.doi.org/10.1115/imece2000-2606.

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Abstract Inverted drop testing of vehicles is a methodology that has long been used by the automotive industry and by researchers to test roof integrity. In our laboratory, the inverted drop test methodology was employed on a late model production sport utility vehicle (SUV) in order to simulate the damage incurred by a real world rollover accident. The extent and shape of residual damage matched well with the accident damage. A second vehicle was reinforced based upon techniques and methods published by Herbst et al1, which reduced the crush from 11″ to 2.75″. Incorporation of these techniques demonstrated an increase in roof strength of approximately four-fold with a minor weight addition. The modified vehicle was dropped a second time for a cumulative drop height of 3 feet. The modified vehicle after the second test crushed approximately 3–4″ over the driver seating location and 7″ at the top of the driver’s A-pillar.
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8

Henke, Martin, Thomas Monz, and Manfred Aigner. "Inverted Brayton Cycle With Exhaust Gas Recirculation: A Numerical Investigation." In ASME Turbo Expo 2013: Turbine Technical Conference and Exposition. American Society of Mechanical Engineers, 2013. http://dx.doi.org/10.1115/gt2013-94889.

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Micro gas turbine (MGT) based CHP units provide a highly efficient, low-pollutant technology to supply heat and electrical power from fossil and renewable energy sources; however, pressurized MGT systems in an electrical power range from 1 to 5 kWel utilize very small turbocharger components. These components suffer from higher losses, like seal and tip leakages, resulting in a reduced electrical efficiency. This drawback is avoided by an Inverted Brayton Cycle (IBC) based system. In an IBC hot gas is produced in a combustion chamber at atmospheric pressure. Subsequently, the exhaust gas is expanded in a turbine from atmospheric to sub-atmospheric pressure level. In order to increase electrical efficiency, heat from the turbine exhaust gas is recuperated to the combustion air. After recuperation, the gas is compressed to atmospheric pressure and is discharged from the cycle. To decrease the power demand of the compressor, and thereby increasing the electrical cycle efficiency, it is crucial to further extract residual thermal power from the gas before compression. Coolant flows provided by heating applications can use this heat supply combined with heat from the discharged exhaust gas. The low pressure levels of the IBC result in high volumetric gas flows, enabling the use of large, highly efficient turbocharger components. Because of this efficiency benefit and the described cooling demand, micro-CHP applications provide an ideal field for utilization of the IBC. To further increase the total efficiency, discharged exhaust gas can be partially recirculated to the air inlet of the cycle. In the present paper a steady state analysis of an IBC with exhaust gas recirculation (EGR) is shown, and compared to the performance of a conventional Brayton Cycle with equivalent component properties. Using EGR, it could be found that the sensitivity of the electrical cycle efficiency to the coolant temperature further increases. The sequent discussion focuses on the trade-off between total efficiency and electrical efficiency, depending on coolant temperature and EGR rate. The results show that EGR can increase the total efficiency by 10 to 15 %-points, while electrical efficiency decreases by 0.5 to 1 %-point. If the coolant temperature is below 35 °C, condensation of water vapor in the exhaust gas leads to a further increase of heat recovery efficiency. A validated in-house simulation tool based on turbocharger maps has been used for the calculations.
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Zhang, Zilong, and C. Steve Suh. "A Novel Nonlinear Time-Frequency Strategy for Stabilizing Inverted Pendulum Cart System." In ASME 2018 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2018. http://dx.doi.org/10.1115/imece2018-86758.

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The stabilization of the inverted pendulum-cart system (IPCS) is a classical problem in the control engineering. The study of IPCS is motivated by its applications to the balancing of rocket boosters and bipedal robots. IPCS represents a class of nonlinear, under-actuated, and unstable system hard to be controlled in real-time. In this paper, a novel nonlinear time-frequency control (NTFC) strategy is applied to stabilize an inverted pendulum mounted on a cart. The proposed controller design is adaptive and employs discrete the wavelet transform and filtered-x least-mean-square (Fx-LMS) algorithm to realize the control in real-time. Using the wavelet transform, the adaptive controller is demonstrated to inhibit the deteriorations of the time and frequency responses simultaneously before the residual oscillation is too broadband to be controlled. The presented controller consists of two adaptive finite impulse response filers that operate on the wavelet coefficients: the first one realizes the online identification and provides a priori information in real-time while the second one realizes a feedforward control and rejects the uncontrollable input signal based on the first FIR filter. The equation of motion is derived based on the Newton’s Second law of motion and the model id simulated in MATLAB for verification. A number of commonly used control methods for the stabilization of the IPCS are investigated and evaluated against the proposed NTFC strategy. The simulation results show that the proposed control strategy is feasible for balancing the IPCS for a large, tilted initial angle within a short time interval and strongly robust to external impact and perturbation in real-time.
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Sandler, Mark, Andrew Howard, Menglong Zhu, Andrey Zhmoginov, and Liang-Chieh Chen. "MobileNetV2: Inverted Residuals and Linear Bottlenecks." In 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). IEEE, 2018. http://dx.doi.org/10.1109/cvpr.2018.00474.

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Reports on the topic "Inverted Residual"

1

Hughett, P. Tradeoffs between measurement residual and reconstruction error in inverse problems with prior information. Office of Scientific and Technical Information (OSTI), June 1995. http://dx.doi.org/10.2172/106621.

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Anderson, Gerald L., and Kalman Peleg. Precision Cropping by Remotely Sensed Prorotype Plots and Calibration in the Complex Domain. United States Department of Agriculture, December 2002. http://dx.doi.org/10.32747/2002.7585193.bard.

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Abstract:
This research report describes a methodology whereby multi-spectral and hyperspectral imagery from remote sensing, is used for deriving predicted field maps of selected plant growth attributes which are required for precision cropping. A major task in precision cropping is to establish areas of the field that differ from the rest of the field and share a common characteristic. Yield distribution f maps can be prepared by yield monitors, which are available for some harvester types. Other field attributes of interest in precision cropping, e.g. soil properties, leaf Nitrate, biomass etc. are obtained by manual sampling of the filed in a grid pattern. Maps of various field attributes are then prepared from these samples by the "Inverse Distance" interpolation method or by Kriging. An improved interpolation method was developed which is based on minimizing the overall curvature of the resulting map. Such maps are the ground truth reference, used for training the algorithm that generates the predicted field maps from remote sensing imagery. Both the reference and the predicted maps are stratified into "Prototype Plots", e.g. 15xl5 blocks of 2m pixels whereby the block size is 30x30m. This averaging reduces the datasets to manageable size and significantly improves the typically poor repeatability of remote sensing imaging systems. In the first two years of the project we used the Normalized Difference Vegetation Index (NDVI), for generating predicted yield maps of sugar beets and com. The NDVI was computed from image cubes of three spectral bands, generated by an optically filtered three camera video imaging system. A two dimensional FFT based regression model Y=f(X), was used wherein Y was the reference map and X=NDVI was the predictor. The FFT regression method applies the "Wavelet Based", "Pixel Block" and "Image Rotation" transforms to the reference and remote images, prior to the Fast - Fourier Transform (FFT) Regression method with the "Phase Lock" option. A complex domain based map Yfft is derived by least squares minimization between the amplitude matrices of X and Y, via the 2D FFT. For one time predictions, the phase matrix of Y is combined with the amplitude matrix ofYfft, whereby an improved predicted map Yplock is formed. Usually, the residuals of Y plock versus Y are about half of the values of Yfft versus Y. For long term predictions, the phase matrix of a "field mask" is combined with the amplitude matrices of the reference image Y and the predicted image Yfft. The field mask is a binary image of a pre-selected region of interest in X and Y. The resultant maps Ypref and Ypred aremodified versions of Y and Yfft respectively. The residuals of Ypred versus Ypref are even lower than the residuals of Yplock versus Y. The maps, Ypref and Ypred represent a close consensus of two independent imaging methods which "view" the same target. In the last two years of the project our remote sensing capability was expanded by addition of a CASI II airborne hyperspectral imaging system and an ASD hyperspectral radiometer. Unfortunately, the cross-noice and poor repeatability problem we had in multi-spectral imaging was exasperated in hyperspectral imaging. We have been able to overcome this problem by over-flying each field twice in rapid succession and developing the Repeatability Index (RI). The RI quantifies the repeatability of each spectral band in the hyperspectral image cube. Thereby, it is possible to select the bands of higher repeatability for inclusion in the prediction model while bands of low repeatability are excluded. Further segregation of high and low repeatability bands takes place in the prediction model algorithm, which is based on a combination of a "Genetic Algorithm" and Partial Least Squares", (PLS-GA). In summary, modus operandi was developed, for deriving important plant growth attribute maps (yield, leaf nitrate, biomass and sugar percent in beets), from remote sensing imagery, with sufficient accuracy for precision cropping applications. This achievement is remarkable, given the inherently high cross-noice between the reference and remote imagery as well as the highly non-repeatable nature of remote sensing systems. The above methodologies may be readily adopted by commercial companies, which specialize in proving remotely sensed data to farmers.
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