Articoli di riviste: "Geometry fusion"

1

Gepner, Doron. "Fusion rings and geometry." Communications in Mathematical Physics 141, no. 2 (1991): 381–411. http://dx.doi.org/10.1007/bf02101511.

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Siler, Todd. "Fractal Reactor: Re-Creating the Sun." Leonardo 40, no. 3 (2007): 270–78. http://dx.doi.org/10.1162/leon.2007.40.3.270.

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The author recounts his quest to design an alternative plasma fusion device that could generate limitless energy through nuclear fusion. The proposed Fractal Reactor is based on fractal geometry rather than the Euclidean geometry used in the designs for the containment systems of plasma fusion devices. Fusion energy systems might become more effective if they more closely embody the geometry and physics of stars, nature's “fractal reactors.” The author aims to work with nature and not against it in controlling the forces that govern burning plasmas. Instead of jamming the square peg of Euclidean geometry into the round hole of fractal geometry, the author considers exerting intense forces on plasmas that approximate the gravitational forces in a star.

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Basko, M. M., M. D. Churazov, A. Kemp, and J. Meyer-ter-Vehn. "Magnetized target fusion in cylindrical geometry." Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment 464, no. 1-3 (2001): 196–200. http://dx.doi.org/10.1016/s0168-9002(01)00033-x.

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4

Szepesvári, Csaba, and András Lőrincz. "Approximate geometry representations and sensory fusion." Neurocomputing 12, no. 2-3 (1996): 267–87. http://dx.doi.org/10.1016/0925-2312(95)00116-6.

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5

Li, Yuhan, Yishun Dou, Yue Shi, et al. "FocalDreamer: Text-Driven 3D Editing via Focal-Fusion Assembly." Proceedings of the AAAI Conference on Artificial Intelligence 38, no. 4 (2024): 3279–87. http://dx.doi.org/10.1609/aaai.v38i4.28113.

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While text-3D editing has made significant strides in leveraging score distillation sampling, emerging approaches still fall short in delivering separable, precise and consistent outcomes that are vital to content creation. In response, we introduce FocalDreamer, a framework that merges base shape with editable parts according to text prompts for fine-grained editing within desired regions. Specifically, equipped with geometry union and dual-path rendering, FocalDreamer assembles independent 3D parts into a complete object, tailored for convenient instance reuse and part-wise control. We propose geometric focal loss and style consistency regularization, which encourage focal fusion and congruent overall appearance. Furthermore, FocalDreamer generates high-fidelity geometry and PBR textures which are compatible with widely-used graphics engines. Extensive experiments have highlighted the superior editing capabilities of FocalDreamer in both quantitative and qualitative evaluations.

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6

Wang, Yuan, Haonan Wang, and Louis L. Scharf. "The geometry of fusion inspired channel design." Signal Processing 99 (June 2014): 136–46. http://dx.doi.org/10.1016/j.sigpro.2013.12.015.

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7

Knapp, Daniel R. "Planar geometry inertial electrostatic confinement fusion device." Journal of Physics: Conference Series 591 (March 24, 2015): 012018. http://dx.doi.org/10.1088/1742-6596/591/1/012018.

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8

Dubrovin, B. "Geometry and integrability of topological-antitopological fusion." Communications in Mathematical Physics 152, no. 3 (1993): 539–64. http://dx.doi.org/10.1007/bf02096618.

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9

Tang, Chengkai, Yuyang Wang, Lingling Zhang, Yi Zhang, and Houbing Song. "Multisource Fusion UAV Cluster Cooperative Positioning Using Information Geometry." Remote Sensing 14, no. 21 (2022): 5491. http://dx.doi.org/10.3390/rs14215491.

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Due to the functional limitations of a single UAV, UAV clusters have become an important part of smart cities, and the relative positioning between UAVs is the core difficulty in UAV cluster applications. Existing UAVs can be equipped with satellite navigation, radio navigation, and other positioning equipment, but in complex environments, such as urban canyons, various navigation sources cannot achieve full positioning information due to occlusion, interference, and other factors, and existing positioning fusion methods cannot meet the requirements of these environments. Therefore, demand exists for the real-time positioning of UAV clusters. Aiming to solve the above problems, this paper proposes multisource fusion UAV cluster cooperative positioning using information geometry (UCP-IG), which converts various types of navigation source information into information geometric probability models and reduces the impact of accidental errors, and proposes the Kullback–Leibler divergence minimization (KLM) fusion method to achieve rapid fusion on geometric manifolds and creatively solve the problem of difficult fusion caused by different positioning information formats and parameters. The method proposed in this paper is compared with the main synergistic methods, such as LS and neural networks, in an ideal scenario, a mutation error scenario, and a random motion scenario. The simulation results show that by using UAV cluster movement, the method proposed in this paper can effectively suppress mutation errors and achieve fast positioning.

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10

Holland, Kitty L. "An introduction to fusion of strongly minimal sets: The geometry of fusions." Archive for Mathematical Logic 34, no. 6 (1995): 395–413. http://dx.doi.org/10.1007/s001530050031.

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Holland, Kitty L. "An introduction to fusion of strongly minimal sets: The geometry of fusions." Archive for Mathematical Logic 34, no. 6 (1995): 395–413. http://dx.doi.org/10.1007/bf02391555.

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12

Liu, Xinqi, Jituo Li, and Guodong Lu. "A New Volumetric Fusion Strategy with Adaptive Weight Field for RGB-D Reconstruction." Sensors 20, no. 15 (2020): 4330. http://dx.doi.org/10.3390/s20154330.

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High-quality 3D reconstruction results are very important in many application fields. However, current texture generation methods based on point sampling and fusion often produce blur. To solve this problem, we propose a new volumetric fusion strategy which can be embedded in the current online and offline reconstruction framework as a basic module to achieve excellent geometry and texture effects. The improvement comes from two aspects. Firstly, we establish an adaptive weight field to evaluate and adjust the reliability of data from RGB-D images by using a probabilistic and heuristic method. By using this adaptive weight field to guide the voxel fusion process, we can effectively preserve the local texture structure of the mesh, avoid wrong texture problems and suppress the influence of outlier noise on the geometric surface. Secondly, we use a new texture fusion strategy that combines replacement, integration, and fixedness operations to fuse and update voxel texture to reduce blur. Experimental results demonstrate that compared with the classical KinectFusion, our approach can significantly improve the accuracy in geometry and texture clarity, and can achieve equivalent texture reconstruction effects in real-time as the offline reconstruction methods such as intrinsic3d, even better in relief scenes.

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13

Mon, Ioan Catalin, Mircea Horia Tierean, Eugen Cicala, Michel Pilloz, Iryna Tomashchuk, and Pierre Sallamand. "Characterization of Fusion Lines Obtained with Laser Welding on Ductile Iron Plates." Solid State Phenomena 254 (August 2016): 33–42. http://dx.doi.org/10.4028/www.scientific.net/ssp.254.33.

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This paper studies the ductile iron (DI) weldability using laser welding. For performing an Yb:YAG continuous laser was used, with a maximum power of 6 kW. The parametrical window power (P) - welding speed (S) was explored by carrying out the fusion lines on ductile iron plates without preheating, to determinate areas of weldability (complete penetration, correct geometry) to allow further characterization. The criteria for selection of focus areas were the geometry of the fusion lines and the absence of the welding defects. The unsatisfactory domains were characterized by: collapse of the melted metal, incomplete penetration, low fusion lines quality (geometry, compactness). In present study, several values of power and welding speed have been tested to identify their influence on geometry, compactness of the joints and mechanical properties. As result, the power-welding speed diagram for feasible domains of laser welding was generated.

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14

Luo, X. Y., J. Zhang, and Q. H. Dai. "Saliency-Based Geometry Measurement for Image Fusion Performance." IEEE Transactions on Instrumentation and Measurement 61, no. 4 (2012): 1130–32. http://dx.doi.org/10.1109/tim.2011.2174898.

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15

BASKO, M. M., M. D. CHURAZOV, and A. G. AKSENOV. "Prospects of heavy ion fusion in cylindrical geometry." Laser and Particle Beams 20, no. 3 (2002): 411–14. http://dx.doi.org/10.1017/s0263034602203080.

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A possibility is analyzed to use direct drive cylindrical targets in the fast ignition mode irradiated by beams of nearly relativistic heavy ions with long ranges in matter. The minimum beam energy required to compress the DT fuel in a 1-cm-long target to (ρR)DT = 0.5 g/cm2, ρDT = 100 g/cm3 is found to lie in the range 10–15 MJ. Ignition and axial burn propagation is achieved with a 0.2-ns, 0.4-MJ pulse of 100-GeV heavy ions. Thermonuclear energy gains in the range 50–150 appear to be possible.

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16

Viola, R., and E. B. Deksnis. "Geometry free of singularities for fusion duplex components." Fusion Engineering and Design 31, no. 1 (1996): 17–27. http://dx.doi.org/10.1016/0920-3796(95)00423-8.

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17

Dong, Jinpeng, Yuhao Huang, Songyi Zhang, Shitao Chen, and Nanning Zheng. "Construct Effective Geometry Aware Feature Pyramid Network for Multi-Scale Object Detection." Proceedings of the AAAI Conference on Artificial Intelligence 36, no. 1 (2022): 534–41. http://dx.doi.org/10.1609/aaai.v36i1.19932.

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Feature Pyramid Network (FPN) has been widely adopted to exploit multi-scale features for scale variation in object detection. However, intrinsic defects in most of the current methods with FPN make it difficult to adapt to the feature of different geometric objects. To address this issue, we introduce geometric prior into FPN to obtain more discriminative features. In this paper, we propose Geometry-aware Feature Pyramid Network (GaFPN), which mainly consists of the novel Geometry-aware Mapping Module and Geometry-aware Predictor Head.The Geometry-aware Mapping Module is proposed to make full use of all pyramid features to obtain better proposal features by the weight-generation subnetwork. The weights generation subnetwork generates fusion weight for each layer proposal features by using the geometric information of the proposal. The Geometry-aware Predictor Head introduces geometric prior into predictor head by the embedding generation network to strengthen feature representation for classification and regression. Our GaFPN can be easily extended to other two-stage object detectors with feature pyramid and applied to instance segmentation task. The proposed GaFPN significantly improves detection performance compared to baseline detectors with ResNet-50-FPN: +1.9, +2.0, +1.7, +1.3, +0.8 points Average Precision (AP) on Faster-RCNN, Cascade R-CNN, Dynamic R-CNN, SABL, and AugFPN respectively on MS COCO dataset.

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18

Chang, Chia Lung, and Yen Hung Chen. "Measurements of Weld Geometry Using Image Processing Technology." Key Engineering Materials 437 (May 2010): 449–52. http://dx.doi.org/10.4028/www.scientific.net/kem.437.449.

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The weld geometry is directly related to weld strength. The weld geometry by manual measurement may be inaccurate due to human errors. In this study, the image processing is proposed to measure the geometrical dimensions of bead-on-plate weld. The image noise of weld was smoothed by median filter. The boundary of fusion area was enhanced by histogram processing. The edge of deposit and fusion area is then obtained using Laplacian-Gaussian operator and zero crossing detection. The demonstrated example shows that the image processing can effectively and accurately measure the weld geometry.

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19

Nimko, Maksym. "INFLUENCE OF GEOMETRY OF FUSION LINE ON DECARBONIZATION IN DISSIMILAR WELD JOINTS AFTER HEAT TREATMENT." Bulletin of the National Technical University «KhPI» Series: New solutions in modern technologies, no. 1(11) (May 18, 2022): 17–22. http://dx.doi.org/10.20998/2413-4295.2022.01.03.

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Welded joints of dissimilar steels are widely used in various components of the steam-water circuit at thermal and nuclear power plants. In such welded joints after tempering and during high-temperature operations, carbon migrates through the fusion surface from less alloyed steel to more alloyed steel due to the difference in the chemical potential of carbon in these steels. Decarburization in the weld-adjacent area of the heat affected zone of less alloyed steel, which occurs due to carbon migration, can lead to the formation of defects and subsequent failures in service. It was noticed that the thickness of the decarburized layer varies depending on the geometry of the fusion line: after heat treatment in places of convexity of the more alloyed weld in the base metal the thickness of the decarburized layer in the heat affected zone is less than in places of concavity of the weld. To numerically estimate the influence of the shape of the fusion line on the intensity of decarburization in the weld-adjacent zone, it is proposed to use a geometric factor. The aim of the work was to find such a function for use as the geometric factor, which would allow to estimate locally the variable concavity of a complex curve (in our case - the fusion line) from a point outside the curve and express it through a scalar parameter. An integral function ФL(t) is proposed, which "scans" the fusion line L from the point t in the heat affected zone; the obtained numerical value of this function for each point t can be interpreted as the order of decarburization of this point during tempering or high-temperature operation at a given geometry of the fusion line L, and can be used to construct a scalar field of the decarburization order in the heat affected zone of less alloyed steel by implementation of ФL(t) using computer vision software.

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20

Klingaa, Christopher Gottlieb, Sankhya Mohanty, and Jesper Henri Hattel. "Realistic design of laser powder bed fusion channels." Rapid Prototyping Journal 26, no. 10 (2020): 1827–36. http://dx.doi.org/10.1108/rpj-01-2020-0010.

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Purpose Conformal cooling channels in additively manufactured molds are superior over conventional channels in terms of cooling control, part warpage and lead time. The heat transfer ability of cooling channels is determined by their geometry and surface roughness. Laser powder bed fusion manufactured channels have an inherent process-induced dross formation that may significantly alter the actual shape of nominal channels. Therefore, it is crucial to be able to predict the expected surface roughness and changes in the geometry of metal additively manufactured conformal cooling channels. The purpose of this paper is to present a new methodology for predicting the realistic design of laser powder bed fusion channels. Design/methodology/approach This study proposes a methodology for making nominal channel design more realistic by the implementation of roughness prediction models. The models are used for altering the nominal shape of a channel to its predicted shape by point cloud analysis and manipulation. Findings A straight channel is investigated as a simple case study and validated against X-ray computed tomography measurements. The modified channel geometry is reconstructed and meshed, resulting in a predicted, more realistic version of the nominal geometry. The methodology is successfully tested on a torus shape and a simple conformal cooling channel design. Finally, the methodology is validated through a cooling test experiment and comparison with simulations. Practical implications Accurate prediction of channel surface roughness and geometry would lead toward more accurate modeling of cooling performance. Originality/value A robust start to finish method for realistic geometrical prediction of metal additive manufacturing cooling channels has yet to be proposed. The current study seeks to fill the gap.

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21

Cong, Jing, Bing Fang, Qian Wang, Yan Su, Tianqi Gu, and Tianzhi Luo. "The mechanobiology of actin cytoskeletal proteins during cell–cell fusion." Journal of The Royal Society Interface 16, no. 156 (2019): 20190022. http://dx.doi.org/10.1098/rsif.2019.0022.

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Myosin II and spectrin β display mechanosensitive accumulations in invasive protrusions during cell–cell fusion of Drosophila myoblasts. The biochemical inhibition and deactivation of these proteins results in significant fusion defects. Yet, a quantitative understanding of how the protrusion geometry and fusion process are linked to these proteins is still lacking. Here we present a quantitative model to interpret the dependence of the protrusion size and the protrusive force on the mechanical properties and microstructures of the actin cytoskeleton and plasma membrane based on a mean-field theory. We build a quantitative linkage between mechanosensitive accumulation of myosin II and fusion pore formation at the tip of the invasive protrusion through local area dilation. The mechanical feedback loop between myosin II and local deformation suggests that myosin II accumulation possibly reduces the energy barrier and the critical radius of fusion pores. We also analyse the effect of spectrin β on maintaining the proper geometry of the protrusions required for the success of cell–cell fusion.

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Song, Haoxuan, Jiahui Huang, Yan-Pei Cao, and Tai-Jiang Mu. "HDR-Net-Fusion: Real-time 3D dynamic scene reconstruction with a hierarchical deep reinforcement network." Computational Visual Media 7, no. 4 (2021): 419–35. http://dx.doi.org/10.1007/s41095-021-0230-z.

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AbstractReconstructing dynamic scenes with commodity depth cameras has many applications in computer graphics, computer vision, and robotics. However, due to the presence of noise and erroneous observations from data capturing devices and the inherently ill-posed nature of non-rigid registration with insufficient information, traditional approaches often produce low-quality geometry with holes, bumps, and misalignments. We propose a novel 3D dynamic reconstruction system, named HDR-Net-Fusion, which learns to simultaneously reconstruct and refine the geometry on the fly with a sparse embedded deformation graph of surfels, using a hierarchical deep reinforcement (HDR) network. The latter comprises two parts: a global HDR-Net which rapidly detects local regions with large geometric errors, and a local HDR-Net serving as a local patch refinement operator to promptly complete and enhance such regions. Training the global HDR-Net is formulated as a novel reinforcement learning problem to implicitly learn the region selection strategy with the goal of improving the overall reconstruction quality. The applicability and efficiency of our approach are demonstrated using a large-scale dynamic reconstruction dataset. Our method can reconstruct geometry with higher quality than traditional methods.

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Cai, L., and P. Sheng. "Analysis of Laser Evaporative and Fusion Cutting." Journal of Manufacturing Science and Engineering 118, no. 2 (1996): 225–34. http://dx.doi.org/10.1115/1.2831015.

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This paper presents an analytical description of the evaporative and fusion laser cutting process. The model incorporates the effects of heat conduction, phase change, beam divergence, surface absorption and plasma absorption (for fusion cutting of metals) to estimate the geometry of the cutting front for given process parameters, material properties and workpiece geometry. Model estimates for kerf shape were developed for continuous-wave CO2 laser cutting of polymethyl-methacrylate (PMMA), aluminum oxide and 304 stainless steel. Comparison of model estimates with experimental results showed good agreement for cutting front geometries for PMMA, good kerf width agreement for aluminum oxide and model underestimation of kerf profile for 304 stainless steel. Results for the comparison of predicted and measured profile and centerline angles of inclination are also presented.

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N, JaelEdith, Nithya B, and PalaniThanaraj K. "EVALUATION OF GRADIENT GEOMETRY FOR MULTIMODAL MEDICAL IMAGE FUSION." International Journal of Advanced Research 5, no. 3 (2017): 1098–105. http://dx.doi.org/10.21474/ijar01/3611.

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Bera, Asish, Debotosh Bhattacharjee, and Mita Nasipuri. "Fusion-Based Hand Geometry Recognition Using Dempster–Shafer Theory." International Journal of Pattern Recognition and Artificial Intelligence 29, no. 05 (2015): 1556005. http://dx.doi.org/10.1142/s0218001415560054.

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This paper presents a new technique for user identification and recognition based on the fusion of hand geometric features of both hands without any pose restrictions. All the features are extracted from normalized left and right hand images. Fusion is applied at feature and also at decision level. Two probability-based algorithms are proposed for classification. The first algorithm computes the maximum probability for nearest three neighbors. The second algorithm determines the maximum probability of the number of matched features with respect to a thresholding on distances. Based on these two highest probabilities initial decisions are made. The final decision is considered according to the highest probability as calculated by the Dempster–Shafer theory of evidence. Depending on the various combinations of the initial decisions, three schemes are experimented with 201 subjects for identification and verification. The correct identification rate is found to be 99.5%, and the false acceptance rate (FAR) of 0.625% has been found during verification.

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Basko, M. M., A. J. Kemp, and J. Meyer-ter-Vehn. "Ignition conditions for magnetized target fusion in cylindrical geometry." Nuclear Fusion 40, no. 1 (2000): 59–68. http://dx.doi.org/10.1088/0029-5515/40/1/305.

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Shishkin, A. A., O. Motojima, S. Sudo, A. V. Eremin, A. A. Moskvitin, and Yu K. Moskvitina. "Dynamics of D+D fusion products in LHD geometry." Fusion Engineering and Design 81, no. 23-24 (2006): 2733–36. http://dx.doi.org/10.1016/j.fusengdes.2006.07.047.

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Dal Mutto, Carlo, Pietro Zanuttigh, and Guido M. Cortelazzo. "Fusion of Geometry and Color Information for Scene Segmentation." IEEE Journal of Selected Topics in Signal Processing 6, no. 5 (2012): 505–21. http://dx.doi.org/10.1109/jstsp.2012.2194474.

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Liew, S. C., X. Huang, E. S. Lin, C. Shi, A. T. K. Yee, and A. Tandon. "INTEGRATION OF TREE DATABASE DERIVED FROM SATELLITE IMAGERY AND LIDAR POINT CLOUD DATA." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-4/W10 (September 12, 2018): 105–11. http://dx.doi.org/10.5194/isprs-archives-xlii-4-w10-105-2018.

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<p><strong>Abstract.</strong> 3D tree database provides essential information of tree species abundance, spatial distribution and tree height for forest mapping, sustainable urban planning and 3D city modelling. Fusion of passive optical satellite imagery and active Lidar data can potentially be exploited for operational forest inventory. However, such fusion requires very high geometric accuracy for both data sets. This paper proposes an approach for 3D tree information extracted from passive and active data integrating into existing tree database by effectively using geometric information of satellite camera model and laser scanner scanning geometry. The paper also presents the individual methods for tree crown identification and delineation from satellite images and lidar point cloud data respectively, the geometric correction of tree position from tree top to tree base. The ground truth accuracy assessment for the tree extracted is also present.</p>

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Díaz Ramos, Antonio. "A spectral sequence for fusion systems." Algebraic & Geometric Topology 14, no. 1 (2014): 349–78. http://dx.doi.org/10.2140/agt.2014.14.349.

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Finkelberg, M. "An equivalence of fusion categories." Geometric and Functional Analysis 6, no. 2 (1996): 249–67. http://dx.doi.org/10.1007/bf02247887.

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S.Chate, Suhas, Pratik R. Ubale, and M. A. Joshi. "Person Verification using Fusion of Palm Geometry and Palm Print." International Journal of Computer Applications 73, no. 17 (2013): 42–48. http://dx.doi.org/10.5120/12836-0163.

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Shimwell, Jonathan, John Billingsley, Rémi Delaporte-Mathurin, et al. "The Paramak: automated parametric geometry construction for fusion reactor designs." F1000Research 10 (January 18, 2021): 27. http://dx.doi.org/10.12688/f1000research.28224.1.

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During the conceptual design process of fusion reactors it is useful to rapidly prototype different design concepts and assess their suitability against a range of high level requirements. Rapid prototyping allows the 'fail early' mantra of other fields to be applied to engineering design. Furthermore, the rapid generation of low fidelity analysis allows fast exploration of design space, which enables better decisions to be made during concept selection and the detailed design phase. The Paramak is an open-source tool that aims to provide automated parameter driven 3D CAD models for fusion reactor components and magnetic fusion reactors. The geometry produced is compatible with several analysis workflows and this allows iterative automated model building and analysis to help steer the design concept optimisation process. The Paramak uses CadQuery 2 to create the 3D CAD model. The Paramak framework is used to create a few example reactor configurations including: a spherical reactor, a regular large radius tokamak and a compact submersion tank reactor. Input parameters for the various reactors that the Paramak can generate generally fall into three categories: continuous ranges such as blanket thickness, integer ranges such as number of toroidal field coils and categorical parameters such as type of divertor. The Paramak facilitates parameter studies where users can investigate the impact of input design parameters on the reactor performance. The use of modern software practices allows the geometry to be continuously tested in analysis workflows to ensure it is fit for purpose. The generation of output metrics from input parameters lends itself to the use of data science and machine learning approaches in order to steer the design. The Paramak provides rapid construction of analysis ready CAD in a manner that allows the designer to save time when exploring the design space for design studies and facilitate automated generative design.

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Jones, Alistair, Martin Leary, Stuart Bateman, and Mark Easton. "Effect of surface geometry on laser powder bed fusion defects." Journal of Materials Processing Technology 296 (October 2021): 117179. http://dx.doi.org/10.1016/j.jmatprotec.2021.117179.

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Wu, Pengfei, Yiguang Liu, Mao Ye, Zhenyu Xu, and Yunan Zheng. "Geometry Guided Multi-Scale Depth Map Fusion via Graph Optimization." IEEE Transactions on Image Processing 26, no. 3 (2017): 1315–29. http://dx.doi.org/10.1109/tip.2017.2651383.

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SAITO, Yudai, and Hiroshi IIZUKA. "OS0507 Geometry of Fusion Bonded Joint in Rubber Conveyor Belts." Proceedings of the Materials and Mechanics Conference 2013 (2013): _OS0507–1_—_OS0507–3_. http://dx.doi.org/10.1299/jsmemm.2013._os0507-1_.

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Hadzhilazova, Mariana, Jean-Francois Ganghoffer, and Ivaïlo M. Mladenov. "Membrane fusion based on the geometry of the stalk model." Mechanics Research Communications 63 (January 2015): 54–60. http://dx.doi.org/10.1016/j.mechrescom.2014.11.004.

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Wu, Bin, Shengpeng Yu, Lijuan Hao, Jing Song, Longfeng Shen, and Pengcheng Long. "Advanced geometry navigation methods without cavity representation for fusion reactors." Fusion Engineering and Design 122 (November 2017): 232–37. http://dx.doi.org/10.1016/j.fusengdes.2017.08.008.

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Zhang, Y. M., and R. Kovacevic. "Neurofuzzy model-based predictive control of weld fusion zone geometry." IEEE Transactions on Fuzzy Systems 6, no. 3 (1998): 389–401. http://dx.doi.org/10.1109/91.705507.

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SAITO, Yudai, Hideki MASUKO, and Hiroshi IIZUKA. "122 Geometry of Fusion Bonded Joint in Rubber Conveyor Belts." Proceedings of Conference of Tohoku Branch 2013.48 (2013): 46–47. http://dx.doi.org/10.1299/jsmeth.2013.48.46.

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Duan, Jin, Ju Liu, Youfei Hao, Guangqiu Chen, Yue Zheng, and Linfeng Jia. "Joint target geometry and polarization properties for polarization image fusion." Optics and Lasers in Engineering 178 (July 2024): 108176. http://dx.doi.org/10.1016/j.optlaseng.2024.108176.

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Sandhya, S., and G. Phanikumar. "Investigation of Fusion Weldments of Semi-Solid Aluminium A356 Alloy: Pool Geometry and Microstructure." Materials Science Forum 765 (July 2013): 751–55. http://dx.doi.org/10.4028/www.scientific.net/msf.765.751.

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A fusion welding technique to join a semi-solid processed A356 cast plate is explored using Gas Tungsten Arc Welding (GTAW). Semi-solid metal (SSM) billets of non-dendritic microstructure produced by rheocasting in a mould placed inside a linear electromagnetic stirrer were used for this study. GTAW experiments were conducted to simulate different thermal gradients near the fusion zone. The geometries of the weld pool as well as the temperature gradient in the fusion boundary were measured to understand the microstructure evolution. Simulation of the welding process was performed to aid in the analysis. Quantitative metallography provided the shape factor as a measure of globularity of the primary a-Al phase. Based on the studies, a model has been proposed to explain the observation of globular microstructure in the fusion zone of the welds. Conclusions show a positive correlation of thermal gradient with globular microstructure formation in this class of alloys.

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43

Suponitsky, Victoria, Ivan V. Khalzov, and Eldad J. Avital. "Magnetohydrodynamics Solver for a Two-Phase Free Surface Flow Developed in OpenFOAM." Fluids 7, no. 7 (2022): 210. http://dx.doi.org/10.3390/fluids7070210.

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A magnetohydrodynamics solver (“mhdCompressibleInterFoam”) has been developed for a compressible two-phase flow with a free surface by extending “compressibleInterFoam” solver within OpenFOAM suite. The primary goal is to develop a tool to simulate compression of magnetic fields in vacuum and simplified magnetized plasma targets by imploding rotating liquid metal liners in the context of a Magnetized Target Fusion (MTF) concept in pursuit by General Fusion Inc. At present, the solver is limited to axisymmetric problems and the magnetic field evolution is solved in terms of toroidal field component and poloidal flux functions. The solver has been validated and verified using a number of test cases for which analytical or other numerical solutions are provided. Those tests cases include: (i) compression of toroidal and poloidal magnetic fields in vacuum and cylindrical geometry, (ii) axisymmetric annular Hartmann flow, and (iii) compression of magnetized target initialized with a Grad–Shafranov equilibrium state in a cylindrical geometry. A methodology to incorporate conductive solid regions into simulation has also been developed. Capability of the code is demonstrated by simulating a complex case of compressing a magnetized target, which is injected during implosion of a rotating liquid metal liner with an initially soaked poloidal magnetic field. An application of the solver to simulate compression of a magnetized target in a geometry and parameters relevant to the Fusion Demonstration Plant (FDP) being developed by General Fusion Inc. is also demonstrated.

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44

Treloar, Thomas. "The Symplectic Geometry of Polygons in the 3-Sphere." Canadian Journal of Mathematics 54, no. 1 (2002): 30–54. http://dx.doi.org/10.4153/cjm-2002-002-1.

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AbstractWe study the symplectic geometry of the moduli spaces Mr = Mr() of closed n-gons with fixed side-lengths in the 3-sphere. We prove that these moduli spaces have symplectic structures obtained by reduction of the fusion product of n conjugacy classes in SU(2) by the diagonal conjugation action of SU(2). Here the fusion product of n conjugacy classes is a Hamiltonian quasi-Poisson SU(2)-manifold in the sense of [AKSM]. An integrable Hamiltonian system is constructed on Mr in which the Hamiltonian flows are given by bending polygons along a maximal collection of nonintersecting diagonals. Finally, we show the symplectic structure on Mr relates to the symplectic structure obtained from gauge-theoretic description of Mr. The results of this paper are analogues for the 3-sphere of results obtained for Mr(), the moduli space of n-gons with fixed side-lengths in hyperbolic 3-space [KMT], and for Mr(), the moduli space of n-gons with fixed side-lengths in [KM1].

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45

Mifdal, Jamila, Bartomeu Coll, Jacques Froment, and Joan Duran. "Variational Fusion of Hyperspectral Data by Non-Local Filtering." Mathematics 9, no. 11 (2021): 1265. http://dx.doi.org/10.3390/math9111265.

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The fusion of multisensor data has attracted a lot of attention in computer vision, particularly among the remote sensing community. Hyperspectral image fusion consists in merging the spectral information of a hyperspectral image with the geometry of a multispectral one in order to infer an image with high spatial and spectral resolutions. In this paper, we propose a variational fusion model with a nonlocal regularization term that encodes patch-based filtering conditioned to the geometry of the multispectral data. We further incorporate a radiometric constraint that injects the high frequencies of the scene into the fused product with a band per band modulation according to the energy levels of the multispectral and hyperspectral images. The proposed approach proved robust to noise and aliasing. The experimental results demonstrate the performance of our method with respect to the state-of-the-art techniques on data acquired by commercial hyperspectral cameras and Earth observation satellites.

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46

ITZYKSON, C. "GEOMETRY OF DIFFERENTIAL EQUATIONS AND PROJECTIVE REPRESENTATIONS OF THE WITT ALGEBRA." International Journal of Modern Physics B 06, no. 11n12 (1992): 1969–2003. http://dx.doi.org/10.1142/s0217979292000979.

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47

AVRIN, J. S. "FLATTENED MOEBIUS STRIPS: THEIR PHYSICS, GEOMETRY AND TAXONOMY." Journal of Knot Theory and Its Ramifications 17, no. 07 (2008): 835–76. http://dx.doi.org/10.1142/s0218216508006415.

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Apart from their generic relationship to knots and their application to particle physics [1], flattened Moebius strips (FMS) are of intrinsic interest as elements of a genus with specific rules of combination and a unique taxonomy. Here, FMS taxonomy is developed in detail from combinatorial and lexicographic points of view which include notions of degeneracy, completeness and excited states. The results are compared to the standard, spin-parameterized, abstract hierarchy derived by group-theoretic arguments as the direct product of vector spin spaces [2]. A review of the notion of excited states then leads to a new and different model of Beta decay that employs only fusion and fission. There is additional discussion of the relationship between twist and charge and an operator/tensor formulation of the fusion and fission of basic FMS units. Associating a Hopf algebra to FMS operations as a step toward a topological quantum field theory is also investigated. The notion of spinor/twistor networks is seen to emerge from a consideration of FMS configurations for higher values of twist and the introduction of a mode dual to the canonical FMS configuration. The last section discusses the connection of the MS genus to fiber bundle/gauge theory, the concept of spin, and the Dirac equation of the electron.

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48

Englert, Lukas, Volker Schulze, and Stefan Dietrich. "Concentric Scanning Strategies for Laser Powder Bed Fusion: Porosity Distribution in Practical Geometries." Materials 15, no. 3 (2022): 1105. http://dx.doi.org/10.3390/ma15031105.

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Besides the optimisation of process parameters such as laser power or scan speed, the choice of the scan path represents a possibility to optimise the laser powder bed fusion process even further. The usual hatching strategy creates a homogeneous microstructure but makes it necessary to switch the laser off and on after each scan vector, which can slow down the fabrication. Moreover, the end of each scan vector is a location susceptible to the creation of keyhole pores. In this work, these disadvantages were meant to be avoided by using scan strategies that consist of longer paths and thus less end of track points. To this end, an open-source tool to tailor the LPBF G-code to geometric part features and advanced path configurations was developed and embedded into a co-visualization platform. With this tool, specimens built with four different types of paths were fabricated and the effect of these alternative scan strategies on pore distributions and path neighbourhood was investigated using micro-computed tomography. In the examined example geometry, a spiral scan pattern reduced the distance the laser had to jump between scanning by 78%. However, with the alternative path patterns, the defect architecture was strongly dependant on the part geometry and increased the overall porosity to 0.42%. Respective alleviation approaches are therefore necessary and are discussed in the remainder of this work.

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49

Micucci, Monica, and Antonio Iula. "Recognition Performance Analysis of a Multimodal Biometric System Based on the Fusion of 3D Ultrasound Hand-Geometry and Palmprint." Sensors 23, no. 7 (2023): 3653. http://dx.doi.org/10.3390/s23073653.

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Multimodal biometric systems are often used in a wide variety of applications where high security is required. Such systems show several merits in terms of universality and recognition rate compared to unimodal systems. Among several acquisition technologies, ultrasound bears great potential in high secure access applications because it allows the acquisition of 3D information about the human body and is able to verify liveness of the sample. In this work, recognition performances of a multimodal system obtained by fusing palmprint and hand-geometry 3D features, which are extracted from the same collected volumetric image, are extensively evaluated. Several fusion techniques based on the weighted score sum rule and on a wide variety of possible combinations of palmprint and hand geometry scores are experimented with. Recognition performances of the various methods are evaluated and compared through verification and identification experiments carried out on a homemade database employed in previous works. Verification results demonstrated that the fusion, in most cases, produces a noticeable improvement compared to unimodal systems: an EER value of 0.06% is achieved in at least five cases against values of 1.18% and 0.63% obtained in the best case for unimodal palmprint and hand geometry, respectively. The analysis also revealed that the best fusion results do not include any combination between the best scores of unimodal characteristics. Identification experiments, carried out for the methods that provided the best verification results, consistently demonstrated an identification rate of 100%, against 98% and 91% obtained in the best case for unimodal palmprint and hand geometry, respectively.

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50

Zhang, Song, Anne Jahn, Lucas Jauer, and Johannes Henrich Schleifenbaum. "Geometry-Based Radiation Prediction of Laser Exposure Area for Laser Powder Bed Fusion Using Deep Learning." Applied Sciences 12, no. 17 (2022): 8854. http://dx.doi.org/10.3390/app12178854.

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Laser powder bed fusion (LPBF) is a promising technique used to manufacture complex geometries in a layer-wised manner. Radiation during the LPBF process is influenced by the part geometry, e.g., the overhang angle and the wall thickness. Locally varying radiation can cause deformation of the product after manufacturing. Thus, the prediction of the geometry-caused radiation before the manufacturing can support the evaluation of the design printability to achieve first-time-right printing. In this paper, we present a framework to predict the geometry-based radiation information using a deep learning (DL) algorithm based on the part geometry from computer-aided design (CAD). The algorithm was trained using data from an LPBF-print job consisting of parts with varying overhang angles. Image data, which include the information of radiation, were captured with an optical tomography (OT) camera system that was installed on a LPBF machine used in a laboratory environment. For the DL algorithm, a U-Net based network with mean absolute error (MAE) loss was applied. The training input was binarized OT data representing the contour of the designed geometry. Complementary, the OT data were used as ground truth for the model training. For the application, the design contours of multiple layers were extracted from the CAD file. The result shows the applicability to predict the OT-like radiation by its contour, which has the possibility to show the anomaly due to the part geometry.

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