Thematische Bibliographien / Accuracy evaluation of 3D object model

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  2. Dissertationen
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Auswahl der wissenschaftlichen Literatur zum Thema „Accuracy evaluation of 3D object model“

Autor: Grafiati
Veröffentlicht am 28. Juni 2021
Zuletzt aktualisiert am 17. Februar 2022

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Zeitschriftenartikel zum Thema "Accuracy evaluation of 3D object model"

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Mousavi, V., M. Khosravi, M. Ahmadi, N. Noori, A. Hosseini Naveh, and M. Varshosaz. "THE PERFORMANCE EVALUATION OF MULTI-IMAGE 3D RECONSTRUCTION SOFTWARE WITH DIFFERENT SENSORS." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XL-1-W5 (December 11, 2015): 515–19. http://dx.doi.org/10.5194/isprsarchives-xl-1-w5-515-2015.

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Today, multi-image 3D reconstruction is an active research field and generating three dimensional model of the objects is one the most discussed issues in Photogrammetry and Computer Vision that can be accomplished using range-based or image-based methods. Very accurate and dense point clouds generated by range-based methods such as structured light systems and laser scanners has introduced them as reliable tools in the industry. Image-based 3D digitization methodologies offer the option of reconstructing an object by a set of unordered images that depict it from different viewpoints. As their
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Mizginov, V. A., and V. V. Kniaz. "EVALUATING THE ACCURACY OF 3D OBJECT RECONSTRUCTION FROM THERMAL IMAGES." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-2/W18 (November 29, 2019): 129–34. http://dx.doi.org/10.5194/isprs-archives-xlii-2-w18-129-2019.

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Abstract. Thermal cameras are increasingly used in many photogrammetric and computer vision tasks. Nowadays it is possible to detect and recognize objects in infrared images, to solve such tasks as pedestrian detection (Huckridge et al., 2016), security applications, and autonomous driving (Wenbin, Li et al., 2017). Nevertheless, some tasks that are easily solved in the visible range data are still challenging to achieve in the infrared range. Reconstruction of a 3D object model from infrared images is challenging due to the low contrast of the original infrared image, noise of the sensor, and
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Okawa, Marina, Takafumi Taketomi, Goshiro Yamamoto, et al. "A model-based tracking framework for textureless 3D rigid curved objects." Journal on Interactive Systems 3, no. 2 (2013): 1. http://dx.doi.org/10.5753/jis.2012.611.

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This paper addresses the problem of tracking texturelessrigid curved objects. A common approach uses polygonalmeshes to represent curved objects inside an edge-based trackingsystem. However, in order to accurately recover their shape,high quality meshes are required, creating a trade-off betweencomputational efficiency and tracking accuracy. To solve thisissue, we suggest the use of quadrics calculated for each patchin the mesh to give local approximations of the object contour.This representation reduces considerably the level of detail of thepolygonal mesh while maintaining tracking accuracy
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Gong, Yiping, Fan Zhang, Xiangyang Jia, Xianfeng Huang, Deren Li, and Zhu Mao. "Deep Neural Networks for Quantitative Damage Evaluation of Building Losses Using Aerial Oblique Images: Case Study on the Great Wall (China)." Remote Sensing 13, no. 7 (2021): 1321. http://dx.doi.org/10.3390/rs13071321.

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Automated damage evaluation is of great importance in the maintenance and preservation of heritage structures. Damage investigation of large cultural buildings is time-consuming and labor-intensive, meaning that many buildings are not repaired in a timely manner. Additionally, some buildings in harsh environments are impossible to reach, increasing the difficulty of damage investigation. Oblique images facilitate damage detection in large buildings, yet quantitative damage information, such as area or volume, is difficult to generate. In this paper, we propose a method for quantitative damage
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Yilmazturk, Ferruh, and Ali Ersin Gurbak. "Geometric Evaluation of Mobile-Phone Camera Images for 3D Information." International Journal of Optics 2019 (September 30, 2019): 1–10. http://dx.doi.org/10.1155/2019/8561380.

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This study aimed to investigate the usability of smartphone camera images in 3D positioning applications with photogrammetric techniques. These investigations were performed in two stages. In the first stage, the cameras of five smartphones and a digital compact camera were calibrated using a calibration reference object, with signalized points having known three-dimensional (3D) coordinates. In the calibration process, the self-calibration bundle adjustment method was used. To evaluate the metric performances, the geometric accuracy tests in the image and object spaces were performed and the
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Grinyak, V. M. "Configuration of 3D Indoor Positioning System Based on Bluetooth Beacons." INFORMACIONNYE TEHNOLOGII 27, no. 1 (2021): 32–40. http://dx.doi.org/10.17587/it.27.32-40.

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This paper devoted to research of indoors navigation problems under poor or insufficient quality of satellite navigational data environment. The problem of object positioning in 3D space by Bluetooth devices located indoors forming a multi-position tracking system is considered in this research. Emphasized that in order to succeed for such system it is required to pre-estimate distinctive accuracy. The proposed model interpretation of the positioning problem as the system of linear equations. The classic model interpretation for method of least squares is used for resolution. General problem o
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Vetter, Sebastian, and Gunnar Siedler. "Automated 3D-Objectdocumentation on the Base of an Image Set." Geoinformatics FCE CTU 6 (December 21, 2011): 370–75. http://dx.doi.org/10.14311/gi.6.46.

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Digital stereo-photogrammetry allows users an automatic evaluation of the spatial dimension and the surface texture of objects. The integration of image analysis techniques simplifies the automation of evaluation of large image sets and offers a high accuracy [1]. Due to the substantial similarities of stereoscopic image pairs, correlation techniques provide measurements of subpixel precision for corresponding image points. With the help of an automated point search algorithm in image sets identical points are used to associate pairs of images to stereo models and group them. The found identic
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FIKUS, Bartosz, Robert PASZKOWSKI, and Paweł PŁATEK. "Application of 3D Scanning Technology for Evaluation of Virtual Model of Gun Geometry." Problems of Mechatronics Armament Aviation Safety Engineering 9, no. 1 (2018): 105–14. http://dx.doi.org/10.5604/01.3001.0011.7183.

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The paper presents the results of reconstruction of selected gun elements with application of 3D scanning technology. Algorithm of under investigation process, the way of preparing object for scanning and measuring process were also presented. This article discusses also data acquisition of clouds of points and methods of some activities with measured geometry data (i.e. solving some imperfections caused by the preparation or by the measurement process). Geometry was remeshed by the creating a new mesh of polygons to unify shapes defined after previous steps. On the basis of cloud of points me
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Kniaz, V. V., V. A. Mizginov, L. V. Grodzitkiy, N. A. Fomin, and V. A. Knyaz. "DENSE 3D OBJECT RECONSTRUCTION USING STRUCTURED-LIGHT SCANNER AND DEEP LEARNING." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLIII-B2-2020 (August 12, 2020): 777–83. http://dx.doi.org/10.5194/isprs-archives-xliii-b2-2020-777-2020.

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Abstract. Structured light scanners are intensively exploited in various applications such as non-destructive quality control at an assembly line, optical metrology, and cultural heritage documentation. While more than 20 companies develop commercially available structured light scanners, structured light technology accuracy has limitations for fast systems. Model surface discrepancies often present if the texture of the object has severe changes in brightness or reflective properties of its texture. The primary source of such discrepancies is errors in the stereo matching caused by complex su
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Li, Wei, Hongtai Cheng, and Xiaohua Zhang. "Efficient 3D Object Recognition from Cluttered Point Cloud." Sensors 21, no. 17 (2021): 5850. http://dx.doi.org/10.3390/s21175850.

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Recognizing 3D objects and estimating their postures in a complex scene is a challenging task. Sample Consensus Initial Alignment (SAC-IA) is a commonly used point cloud-based method to achieve such a goal. However, its efficiency is low, and it cannot be applied in real-time applications. This paper analyzes the most time-consuming part of the SAC-IA algorithm: sample generation and evaluation. We propose two improvements to increase efficiency. In the initial aligning stage, instead of sampling the key points, the correspondence pairs between model and scene key points are generated in advan
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Dissertationen zum Thema "Accuracy evaluation of 3D object model"

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Mrůzek, Tomáš. "3D model vybraného objektu." Master's thesis, Vysoké učení technické v Brně. Fakulta stavební, 2021. http://www.nusl.cz/ntk/nusl-444254.

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This diploma thesis describes the implementation of a 3D model of two objects using laser scanning. This paper deals with the accuracy evaluation of several data interpretation. The first two methods are the outputs of the results from the FARO SCENE program and other interpretations are the outputs from the TRIMBLE REAL WORKS program. To assess accuracy and veracity, the exact test field of points previously built in the AdMas complex was used. The result of the project is a georeferenced 3D model of two objects with the surrounding environment.
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Raclavský, David. "3D model vybraného objektu." Master's thesis, Vysoké učení technické v Brně. Fakulta stavební, 2020. http://www.nusl.cz/ntk/nusl-414316.

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The result of the diploma thesis is a photogrammetrically evaluated georeferenced 3D model of an object with its environment, located in the AdMaS complex. The work describes in detail all phases of creating a 3D model of the object from the selection and calibration of the camera to editing the 3D model. Discuss about software and methods for evaluating 3D models. The thesis deals with the optimal setting of ContectCapture software. The accuracy of the resulting 3D model is tested by the methodology according to ČSN 013410 on the basis of control measurements.
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Tecklenburg, Gerhard. "Design of body assemblies with distributed tasks under the support of parametric associative design (PAD)." Thesis, University of Hertfordshire, 2011. http://hdl.handle.net/2299/5809.

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This investigation identifies how CAD models of typical automotive body assemblies could be defined to allow a continuous optimisation of the number of iterations required for the final design and the number of variants on the basis of Parametric Associative Design (PAD) and how methodologies for the development of surfaces, parts and assemblies of the automotive body can be represented and structured for a multiple re-use in a collaborative environment of concept phase of a Product Evolution (Formation) Process (PEP). The standardisation of optimised processes and methodologies and the enhanc
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Buchteile zum Thema "Accuracy evaluation of 3D object model"

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Jamaludin, Mohd Syahmi, and Akihiko Hanafusa. "Accuracy Evaluation of 3D Reconstruction of Transfemoral Residual Limb Model Using Basic Spline Interpolation." In IFMBE Proceedings. Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-10-9038-7_125.

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Granadillo, Gustavo Gonzalez, Joaquin Garcia-Alfaro, and Hervé Debar. "Using a 3D Geometrical Model to Improve Accuracy in the Evaluation and Selection of Countermeasures Against Complex Cyber Attacks." In Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-28865-9_29.

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Diestmann, Thomas, Nils Broedling, Benedict Götz, and Tobias Melz. "Surrogate Model-Based Uncertainty Quantification for a Helical Gear Pair." In Lecture Notes in Mechanical Engineering. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-77256-7_16.

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AbstractCompetitive industrial transmission systems must perform most efficiently with reference to complex requirements and conflicting key performance indicators. This design challenge translates into a high-dimensional multi-objective optimization problem that requires complex algorithms and evaluation of computationally expensive simulations to predict physical system behavior and design robustness. Crucial for the design decision-making process is the characterization, ranking, and quantification of relevant sources of uncertainties. However, due to the strict time limits of product development loops, the overall computational burden of uncertainty quantification (UQ) may even drive state-of-the-art parallel computing resources to their limits. Efficient machine learning (ML) tools and techniques emphasizing high-fidelity simulation data-driven training will play a fundamental role in enabling UQ in the early-stage development phase.This investigation surveys UQ methods with a focus on noise, vibration, and harshness (NVH) characteristics of transmission systems. Quasi-static 3D contact dynamic simulations are performed to evaluate the static transmission error (TE) of meshing gear pairs under different loading and boundary conditions. TE indicates NVH excitation and is typically used as an objective function in the early-stage design process. The limited system size allows large-scale design of experiments (DoE) and enables numerical studies of various UQ sampling and modeling techniques where the design parameters are treated as random variables associated with tolerances from manufacturing and assembly processes. The model accuracy of generalized polynomial chaos expansion (gPC) and Gaussian process regression (GPR) is evaluated and compared. The results of the methods are discussed to conclude efficient and scalable solution procedures for robust design optimization.
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Poitras, Eric, Kirsten R. Butcher, and Matthew P. Orr. "Modeling Interactive Behaviors While Learning With Digitized Objects in Virtual Reality Environments." In Cognitive and Affective Perspectives on Immersive Technology in Education. IGI Global, 2020. http://dx.doi.org/10.4018/978-1-7998-3250-8.ch011.

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This chapter outlines a framework for automated detection of student behaviors in the context of virtual learning environments. The components of the framework establish several parameters for data acquisition, preprocessing, and processing as a means to classify different types of behaviors. The authors illustrate these steps in training and evaluating a detector that differentiates between students' observations and functional behaviors while students interact with three-dimensional (3D) virtual models of dinosaur fossils. Synthetic data were generated in controlled conditions to obtain time series data from different channels (i.e., orientation from the virtual model and remote controllers) and modalities (i.e., orientation in the form of Euler angles and quaternions). Results suggest that accurate detection of interaction behaviors with 3D virtual models requires smaller moving windows to segment the log trace data as well as features that characterize orientation of virtual models in the form of quaternions. They discuss the implications for personalized instruction in virtual learning environments.
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Lal, Anisha M., B. Koushik Reddy, and Aju D. "Review on Various Machine Learning and Deep Learning Techniques for Prediction and Classification of Quotidian Datasets." In Recent Advances in 3D Imaging, Modeling, and Reconstruction. IGI Global, 2020. http://dx.doi.org/10.4018/978-1-5225-5294-9.ch014.

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Machine learning can be defined as the ability of a computer to learn and solve a problem without being explicitly coded. The efficiency of the program increases with experience through the task specified. In traditional programming, the program and the input are specified to get the output, but in the case of machine learning, the targets and predictors are provided to the algorithm make the process trained. This chapter focuses on various machine learning techniques and their performance with commonly used datasets. A supervised learning algorithm consists of a target variable that is to be predicted from a given set of predictors. Using these established targets is a function that plots targets to a given set of predictors. The training process allows the system to train the unknown data and continues until the model achieves a desired level of accuracy on the training data. The supervised methods can be usually categorized as classification and regression. This chapter discourses some of the popular supervised machine learning algorithms and their performances using quotidian datasets. This chapter also discusses some of the non-linear regression techniques and some insights on deep learning with respect to object recognition.
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Mahmood, Nasrul Humaimi Bin. "3D Surface Reconstruction from Multiviews for Prosthetic Design." In 3-D Surface Geometry and Reconstruction. IGI Global, 2012. http://dx.doi.org/10.4018/978-1-4666-0113-0.ch014.

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Existing methods that use a fringe projection technique for prosthetic designs produce good results for the trunk and lower limbs; however, the devices used for this purpose are expensive. This chapter investigates the use of an inexpensive passive method involving 3D surface reconstruction from video images taken at multiple views. The design and evaluation methodology, consisting of a number of techniques suitable for prosthetic design, is developed. The method that focuses on fitting the reference model (3D model) of an object to the target data (3D data) is presented. The 3D model is obtained by a computer program while the 3D data uses the shape-from-silhouette technique in an approximately circular motion. The modification of existing model-based reconstruction – mainly on the deformation process of vertices – is discussed, and the results of different objects show a good possibility for using a passive method in prosthetic devices. The methodology developed is shown to be useful for prosthetic designers as an alternative to manual impression during the design.
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Demian, Peter, Kirti Ruikar, Tarun Sahu, and Anne Morris. "Three-Dimensional Information Retrieval (3DIR)." In Information Retrieval and Management. IGI Global, 2018. http://dx.doi.org/10.4018/978-1-5225-5191-1.ch043.

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An increasing amount of information is packed into BIMs, with the 3D geometry serving as a central index leading to other information. The 3DIR project investigates information retrieval from such environments. Here, the 3D visualization can be exploited when formulating queries, computing the relevance of information items, or visualizing search results. The need for such a system was specified using workshops with end users. A prototype was built on a commercial BIM platform. Following an evaluation, the system was enhanced to exploit model topology. Relationships between 3D objects are used to widen the search, whereby relevant information items linked to a related 3D object (rather than linked directly to objects selected by the user) are still retrieved but ranked lower. An evaluation of the enhanced prototype demonstrates its effectiveness but highlights its added complexity. Care needs to be taken when exploiting topological relationships, but that a tight coupling between text-based retrieval and the 3D model is generally effective in information retrieval from BIMs.
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"Advanced Augmented Reality TAPS Software for Visualizing 4BL Mechanisms with Touch to Print Technique." In Advanced Technology-Assisted Problem Solving in Engineering Education. IGI Global, 2020. http://dx.doi.org/10.4018/978-1-7998-0465-9.ch008.

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Many learning methods have changed the way students learn. One method that is achieving much attention is augmented reality (AR). AR is a technology that blends simulated and real environment during the learning, interaction, and visualization process. As such, an AR ATAPS with a new interaction technique (touch-to-print) was designed, tested, and evaluated. The aim was to provide an improved user interface i.e. without having to use markers so as the learner could focus more on the visualization process. The AR ATAPS is capable of recognizing the 4BL mechanisms (based on Grashof's law and user input data) (i.e., drag-link, crank-rocker, double-rocker, and parallelogram linkage) and have been used in this study as an adjunct to traditional problem-solving method. The touch to print interaction technique, which is the main contribution of this research, has been useful to engage the user in the problem with a new interactive and learning experience as compared to the previous method (i.e., the use of markers to interact with a virtual object). The interaction technique method uses seven functions that are recognizable by the ATAPS (rotational, link colour change A, B, C, D, pause and voice command) for the user to touch the symbols on the paper and the system to model and analyze accordingly in real-time 3D environment. This study explores how far AR technology has come to support students in their learning and interest in using this technology. The objective of this chapter was to determine the usefulness of touch to print interaction user interface for an AR application. A hands-on practical lab was conducted with first year engineering students at UNITEN. The evaluation and effectiveness of the AR ATAPS as an alternative to textbooks and current software learning packages was examined by means of a single-institutional evaluation study using mainly statistical quantitative techniques and ANOVA analysis. The prospective study (total sample size = 30) at University Tenaga Nasional (UNITEN) validated aspects of AR ATAPS interaction technique and provided feedback on the interface design and its problem-solving method. The results of the study showed that most of the participants never been experienced with AR applications before, but the ideas of implementing AR as a simulation tool for learning the kinesthetic and dynamic subjects is well accepted with a very beneficial feedback. Based on the findings, it was found that there is a positive changing in terms of the visualizing and imagining of the four-bar linkage mechanisms (4BL) which led to a good understanding of this subject. Further development of AR applications in the learning environment is being discussed.
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Konferenzberichte zum Thema "Accuracy evaluation of 3D object model"

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Korumaz, Saadet Armağan Güleç, and Büşra Kubiloğlu. "Evaluations on The Use Of 3d Terrestrial Laser Scanning Technology in Architectural Conservation Projects." In 4th International Conference of Contemporary Affairs in Architecture and Urbanism – Full book proceedings of ICCAUA2020, 6-8 May 2020. Alanya Hamdullah Emin Paşa University, 2021. http://dx.doi.org/10.38027/iccaua2021tr0060n21.

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3D Laser Scanning technologies have proven to be significant way to architectural documentation studies. Due to these facilities, the use of technology in architectural documentation have become widespread day by day. Thanks to these technologies it is possible to get high accuracy and intense data in a short time compared to conventional methods. Therefore, this technology has increased the content and quality of conservation practices. The technology is mainly aimed at obtaining a three-dimensional model or two-dimensional layouts from a dense and detailed point cloud. Terrestrial Laser Scan
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Jacobsen, C., E. Ashe, and R. Noorani. "The Recreation and Evaluation of a Human Hand Using Low-Cost Reverse Engineering and 3D Printing Systems." In ASME 2016 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2016. http://dx.doi.org/10.1115/imece2016-66905.

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The primary goal of this research was to evaluate the effectiveness of a low-cost reverse engineering system to recreate a physical, three-dimensional model of a human hand. In order to achieve the goal of this research, three key objectives were fulfilled: (1) the first objective was to recreate the physical model of the human hand using a low-cost experimental setup (<$5000), (2) the second objective was to assess the ability of the reverse engineered hand to perform common tasks of everyday life, and (3) the third objective was to investigate the potential biomedical applications of the
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Di Carmine, Emiliano, Bruno Facchini, and Luca Mangani. "Investigation of Innovative Trailing Edge Cooling Configurations With Enlarged Pedestals and Square or Semicircular Ribs: Part II—Numerical Results." In ASME Turbo Expo 2008: Power for Land, Sea, and Air. ASMEDC, 2008. http://dx.doi.org/10.1115/gt2008-51048.

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Trailing edge is a critical region for turbine airfoils since this part of the blade has to match aerodynamic, cooling and structural requirements at the same time. In fact aerodynamic losses are strictly related to trailing edge thickness which, on the contrary, tends to be increased to implement an internal cooling system, in order to face high thermal loads. At the moment the most employed devices consist of pin fins of various shapes, which contribute to both heat transfer enhancement and structural resistance improvement. Enlarged pedestals decrease pressure losses in comparison with mult
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Fabris, Davide Maria, Remo Sala, and Tarabini Marco. "3DOPE-DL: Accuracy Evaluation of a Deep Learning Framework for 3D Object Pose Estimation." In 2020 IEEE International Workshop on Metrology for Industry 4.0 & IoT (MetroInd4.0&IoT). IEEE, 2020. http://dx.doi.org/10.1109/metroind4.0iot48571.2020.9138271.

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Krenicky, Tibor, and Luboslav Straka. "DETERMINATION OF THE VOLUME OF THE TANK OF RAILWAY WAGON WITH RIBBING." In GEOLINKS Conference Proceedings. Saima Consult Ltd, 2021. http://dx.doi.org/10.32008/geolinks2021/b2/v3/41.

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This article is aimed at comparing the effectiveness of testing the dimensional parameters of a tank wagon with an internal ribbing with a nominal volume of 85 m3 in a production plant. One of the used methods is the traditional volumetric method, ie measuring the volume of water with a pair of flowmeters when filling the vessel. The second method is a method of computer processing of data obtained by 3d scanning of the interior of the tank from several positions and the subsequent composition of the tank model and calculation of its volume using the PolyWorks program. Evaluation of both measu
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Calvert, W. John, Andrew W. Stapleton, Paul R. Emmerson, Cecil R. Buchanan, and Christopher M. Nott. "Evaluation of a 3D Viscous Code for Turbomachinery Flows." In ASME 1997 International Gas Turbine and Aeroengine Congress and Exhibition. American Society of Mechanical Engineers, 1997. http://dx.doi.org/10.1115/97-gt-078.

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Computational Fluid Dynamics (CFD) codes play an increasingly important role in the design and development of turbomachinery for modern gas turbine engines. As a result additional emphasis is being placed on the evaluation of the codes to ensure that they are working correctly and to indicate the accuracy which is likely to be achieved in practice. At DERA a programme of work has been carried out to evaluate the TRANSCode 3D viscous flow code, which was developed from the BTOB3D solver written by Dawes in 1986. A three part strategy for the validation and calibration of the code was adopted, c
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Onitsuka, Shohei, Tadashi Iijima, Yuichi Ushio, Yukihiko Okuda, Takamasa Hirai, and Katsuhisa Inagaki. "Seismic Margin Evaluation Methods Using Equivalent SDOF Model and Elasto-Plastic Response Spectrum." In ASME 2015 Pressure Vessels and Piping Conference. American Society of Mechanical Engineers, 2015. http://dx.doi.org/10.1115/pvp2015-45469.

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Two simplified methods for evaluating seismic margin due to elasto-plastic response were proposed. Generally, elasto-plastic response is evaluated by nonlinear time-history response analysis using three-dimensional FEM model (3D FEM model). It, however, takes an immense amount of time with commonly used computers. In order to evaluate it in a shorter time, this study developed seismic margin evaluation methods using Equivalent Single Degree Of Freedom (ESDOF) model and elasto-plastic response spectrum. Additionally, the accuracy of the two methods was verified by static loading tests and vibra
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Ikeda, Toru, Masatoshi Oka, and Noriyuki Miyazaki. "Reliability Evaluation of a 3D SIC Package by the Combination of the SEM-DIC and the FEM." In ASME 2013 International Technical Conference and Exhibition on Packaging and Integration of Electronic and Photonic Microsystems. American Society of Mechanical Engineers, 2013. http://dx.doi.org/10.1115/ipack2013-73126.

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Numerical methods such as the finite element method (FEM) have been used to evaluate the reliability of electronic packages. The accuracy of the analyses should be verified by some experimental measurements. In this study, we evaluated the thermal strain of a test chip for three-dimensional stacked integrated circuits (3D SIC) with both measurement and an analysis. First, the distribution of thermal strain on the cross-section of a test chip was measured using scanning electron microscope (SEM) and the digital image correlation. Then, the distribution of strain of the test chip was also analyz
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Yang, Xin, Yuanbo Wang, Yaru Wang, et al. "Active Object Reconstruction Using a Guided View Planner." In Twenty-Seventh International Joint Conference on Artificial Intelligence {IJCAI-18}. International Joint Conferences on Artificial Intelligence Organization, 2018. http://dx.doi.org/10.24963/ijcai.2018/689.

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Inspired by the recent advance of image-based object reconstruction using deep learning, we present an active reconstruction model using a guided view planner. We aim to reconstruct a 3D model using images observed from a planned sequence of informative and discriminative views. But where are such informative and discriminative views around an object? To address this we propose a unified model for view planning and object reconstruction, which is utilized to learn a guided information acquisition model and to aggregate information from a sequence of images for reconstruction. Experiments show
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Decker, Nathan, and Qiang Huang. "Geometric Accuracy Prediction for Additive Manufacturing Through Machine Learning of Triangular Mesh Data." In ASME 2019 14th International Manufacturing Science and Engineering Conference. American Society of Mechanical Engineers, 2019. http://dx.doi.org/10.1115/msec2019-3050.

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Abstract While additive manufacturing has seen tremendous growth in recent years, a number of challenges remain, including the presence of substantial geometric differences between a three dimensional (3D) printed part, and the shape that was intended. There are a number of approaches for addressing this issue, including statistical models that seek to account for errors caused by the geometry of the object being printed. Currently, these models are largely unable to account for errors generated in freeform 3D shapes. This paper proposes a new approach using machine learning with a set of pred
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