Relevant bibliographies by topics / Software reconstruction

Academic literature on the topic 'Software reconstruction'

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

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Journal articles on the topic "Software reconstruction"

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Rousseau, David. "ATLAS reconstruction software." European Physical Journal C 33, S1 (March 31, 2004): s1038—s1040. http://dx.doi.org/10.1140/epjcd/s2004-03-1805-1.

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Chevalier, M., R. Cheddadi, and B. M. Chase. "CREST: Climate REconstruction SofTware." Climate of the Past Discussions 10, no. 1 (February 17, 2014): 625–63. http://dx.doi.org/10.5194/cpd-10-625-2014.

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Abstract. Several methods currently exist to quantitatively reconstruct palaeoclimatic variables from fossil botanical data. Of these, pdf-based (probability density functions) methods have proven valuable as they can be applied to a wide range of plants assemblages. Most commonly applied to fossil pollen data, their performance, however, can be limited by the taxonomic resolution of the pollen data, as many species may belong to a given pollen-type. Consequently, the climate information associated with different species cannot sometimes not be precisely identified, resulting less accurate reconstructions. This can become particularly problematic in regions of high biodiversity. In this paper, we propose a novel pdf-based method that takes into account the different climatic requirements of each species constituting the broader pollen-type. Pdfs are fitted in two successive steps, with parametric pdfs fitted first for each species, and then a combination of those individual species pdfs into a broader single pdf to represent the pollen-type as a unit. A climate value for the pollen assemblage is estimated from the likelihood function obtained after the multiplication of the pollen-type pdfs, with each being weighted according to its pollen percentage. To test the robustness of the method, we have applied the method to southern Africa as a regional case study, and reconstructed a suite of climatic variables based on extensive botanical data derived from herbarium collections. The reconstructions proved to be accurate for both temperature and precipitation. Predictable exceptions were areas that experience conditions at the extremes of the regional climatic spectra. Importantly, the accuracy of the reconstructed values is independent from the vegetation type where the method is applied or the number of species used. The method used in this study is publicly available in a software package entitled CREST (Climate REconstruction SofTware) and will provide the opportunity to reconstruct reliable quantitative estimates of climatic variables even in areas with high geographical and botanical diversity.
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Caro, Dann Joel, and Ferdinand Pamintuan. "Application of Open-Source 3D Planning Software in Virtual Reconstruction of Complex Maxillofacial Defects." Philippine Journal of Otolaryngology Head and Neck Surgery 36, no. 2 (November 11, 2021): 30. http://dx.doi.org/10.32412/pjohns.v36i2.1801.

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ABSTRACT Objective: To present our in-house 3D planning protocol utilizing open-source computer-aided design software and discuss specific applications in reconstruction of various craniomaxillofacial defects, demonstrating a free, accessible, efficient, accurate, and easily learnable alternative to expensive counterparts. Methods: Design: Case Series Setting: Tertiary Private Training Hospital Participants: Ten (10) patients who underwent CAD assisted reconstructive surgeries from February 2017 – May 2018. Results: A total of 10 patients were included; 7 mandibular reconstructions were surgically reconstructed using our 3D planning protocol and achieved symmetric mandibular contour, with good functional occlusion after surgery; 1 cranioplasty and 1 orbital trauma case also achieved good symmetry and adequate correction of enophthalmos respectively. However, inadequate soft tissue correction was seen in 1 case of maxillary reconstruction despite achieving symmetric bony contour. Conclusion: Our 3D planning protocol using open-source CAD applications is a viable alternative to expensive professional counterparts. Additional prospective studies may better demonstrate benefits in terms of accuracy and decreasing intraoperative time in craniomaxillofacial and head and neck reconstruction.
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Lange, David J. "The CMS Reconstruction Software." Journal of Physics: Conference Series 331, no. 3 (December 23, 2011): 032020. http://dx.doi.org/10.1088/1742-6596/331/3/032020.

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Brett, Paul. "Using text reconstruction software." ELT Journal 48, no. 4 (October 1994): 329–36. http://dx.doi.org/10.1093/elt/48.4.329.

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D'Ambros, Marco, and Michele Lanza. "Visual software evolution reconstruction." Journal of Software Maintenance and Evolution: Research and Practice 21, no. 3 (May 2009): 217–32. http://dx.doi.org/10.1002/smr.407.

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Chevalier, M., and B. M. Chase. "CREST – Climate Reconstruction SofTware." Quaternary International 404 (June 2016): 204. http://dx.doi.org/10.1016/j.quaint.2015.08.188.

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Ganguly, Poulami Somanya, Daniël M. Pelt, Doga Gürsoy, Francesco de Carlo, and K. Joost Batenburg. "Improving reproducibility in synchrotron tomography using implementation-adapted filters." Journal of Synchrotron Radiation 28, no. 5 (August 12, 2021): 1583–97. http://dx.doi.org/10.1107/s1600577521007153.

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For reconstructing large tomographic datasets fast, filtered backprojection-type or Fourier-based algorithms are still the method of choice, as they have been for decades. These robust and computationally efficient algorithms have been integrated in a broad range of software packages. The continuous mathematical formulas used for image reconstruction in such algorithms are unambiguous. However, variations in discretization and interpolation result in quantitative differences between reconstructed images, and corresponding segmentations, obtained from different software. This hinders reproducibility of experimental results, making it difficult to ensure that results and conclusions from experiments can be reproduced at different facilities or using different software. In this paper, a way to reduce such differences by optimizing the filter used in analytical algorithms is proposed. These filters can be computed using a wrapper routine around a black-box implementation of a reconstruction algorithm, and lead to quantitatively similar reconstructions. Use cases for this approach are demonstrated by computing implementation-adapted filters for several open-source implementations and applying them to simulated phantoms and real-world data acquired at the synchrotron. Our contribution to a reproducible reconstruction step forms a building block towards a fully reproducible synchrotron tomography data processing pipeline.
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Hou, Ying-Rui, Suzanne Klaver, Sneha Malde, Rosen Matev, Dmitry Popov, and Miroslav Saur. "Monitoring reconstruction software in LHCb." EPJ Web of Conferences 251 (2021): 03044. http://dx.doi.org/10.1051/epjconf/202125103044.

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The LHCb detector at the LHC is currently undergoing a major upgrade to increase its full detector read-out rate to 30 MHz. In addition to the detector hardware modernisation, the new trigger system will be software-only. The code base of the new trigger system must be thoroughly tested for data flow, functionality and physics performance. Currently, the testing procedure is based on a system of nightly builds and continuous integration tests of each new code development. The continuous integration tests are now extended to test and evaluate high-level quantities related to LHCb’s physics program, such as track reconstruction and particle identification, which is described in this paper. Before each merge request, the differences after the change in code are shown and automatically compared using an interactive visualisation tool, allowing easy verification of all relevant quantities. This approach gives an extensive control over the physics performance of the new code resulting into better preparation for data taking with the upgraded LHCb detector at Run 3.
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Naumov, A. S. "Fragmented Image Reconstruction Software Development." INFORMACIONNYE TEHNOLOGII 24, no. 7 (July 19, 2018): 487–95. http://dx.doi.org/10.17587/it.24.487-495.

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Dissertations / Theses on the topic "Software reconstruction"

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Knodel, Jens. "Process models for the reconstruction of software architecture views." [S.l. : s.n.], 2002. http://www.bsz-bw.de/cgi-bin/xvms.cgi?SWB10252225.

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Collins, Anthony Leslie. "The tomographic reconstruction of holographic interferograms." Thesis, City University London, 1998. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.287671.

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Strother, Philip David. "Design and application of the reconstruction software for the BaBar calorimeter." Thesis, Imperial College London, 1999. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.314229.

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Taylor, Ian James. "Development of T2K 280m near detector software for muon and photon reconstruction." Thesis, Imperial College London, 2009. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.505000.

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Dikmen, Mehmet. "3d Face Reconstruction Using Stereo Vision." Master's thesis, METU, 2006. http://etd.lib.metu.edu.tr/upload/12607543/index.pdf.

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3D face modeling is currently a popular area in Computer Graphics and Computer Vision. Many techniques have been introduced for this purpose, such as using one or more cameras, 3D scanners, and many other systems of sophisticated hardware with related software. But the main goal is to find a good balance between visual reality and the cost of the system. In this thesis, reconstruction of a 3D human face from a pair of stereo cameras is studied. Unlike many other systems, facial feature points are obtained automatically from two photographs with the help of a dot pattern projected on the object&
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s face. It is seen that using projection pattern also provided enough feature points to derive 3D face roughly. These points are then used to fit a generic face mesh for a more realistic model. To cover this 3D model, a single texture image is generated from the initial stereo photographs.
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Pardoe, Andrew Charles. "Neural network image reconstruction for nondestructive testing." Thesis, University of Warwick, 1996. http://wrap.warwick.ac.uk/44616/.

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Conventional image reconstruction of advanced composite materials using ultrasound tomography is computationally expensive, slow and unreliable. A neural network system is proposed which would permit the inspection of large composite structures, increasingly important for the aerospace industry. It uses a tomographic arrangement, whereby a number of ultrasonic transducers are positioned along the edges of a square, referred to as the sensor array. Two configurations of the sensor array are utilized. The first contains 16 transducers, 4 of which act as receivers of ultrasound, and the second contains 40 transducers, 8 of which act as receivers. The sensor array has required the development of instrumentation to generate and receive ultrasonic signals, multiplex the transmitting transducers and to store the numerous waveforms generated for each tomographic scan. The first implementation of the instrumentation required manual operation, however, to increase the amount of data available, the second implementation was automated.
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Ren, Yuheng. "Implicit shape representation for 2D/3D tracking and reconstruction." Thesis, University of Oxford, 2014. http://ora.ox.ac.uk/objects/uuid:c70dc663-ee7c-4100-b492-3a85bf8640d1.

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This thesis develops and describes methods for real-time tracking, segmentation and 3-dimensional (3D) model acquisition, in the context of developing games for stroke patients that are rehabilitating at home. Real-time tracking and reconstruction of a stroke patient's feet, hands and the control objects that they are touching can enable not only the graphical visualization of the virtual avatar in the rehabilitation games, but also permits measurement of the patient's performs. Depth or combined colour and depth imagery from a Kinect sensor is used as input data. The 3D signed distance function (SDF) is used as implicit shape representation, and a series of probabilistic graphical models are developed for the problem of model-based 3D tracking, simultaneous 3D tracking and reconstruction and 3D tracking of multiple objects with identical appearance. The work is based on the assumption that the observed imagery is generated jointly by the pose(s) and the shape(s). The depth of each pixel is randomly and independently sampled from the likelihood of the pose(s) and the shape(s). The pose(s) tracking and 3D shape reconstruction problems are then cast as the maximum likelihood (ML) or maximum a posterior (MAP) estimate of the pose(s) or 3D shape. This methodology first leads to a novel probabilistic model for tracking rigid 3D objects with only depth data. For a known 3D shape, optimization aims to find the optimal pose that back projects all object region pixels onto the zero level set of the 3D shape, thus effectively maximising the likelihood of the pose. The method is extended to consider colour information for more robust tracking in the presence of outliers and occlusions. Initialised with a coarse 3D model, the extended method is also able to simultaneously reconstruct and track an unknown 3D object in real time. Finally, the concept of `shape union' is introduced to solve the problem of tracking multiple 3D objects with identical appearance. This is formulated as the minimum value of all SDFs in camera coordinates, which (i) leads to a per-pixel soft membership weight for each object thus providing an elegant solution for the data association in multi-target tracking and (ii) it allows for probabilistic physical constraints that avoid collisions between objects to be naturally enforced. The thesis also explore the possibility of using implicit shape representation for online shape learning. We use the harmonics of 2D discrete cosine transform (DCT) to represent 2D shapes. High frequency harmonics are decoupled from low ones to represent the coarse information and the details of the 2D shape. A regression model is learnt online to model the relationship between the high and low frequency harmonics using Locally Weighted Projection Regression (LWPR). We have demonstrated that the learned regression model is able to detect occlusion and recover them to the complete shape.
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Yamada, Randy Matthew. "Identification of Interfering Signals in Software Defined Radio Applications Using Sparse Signal Reconstruction Techniques." Thesis, Virginia Tech, 2013. http://hdl.handle.net/10919/50609.

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Software-defined radios have the agility and flexibility to tune performance parameters, allowing them to adapt to environmental changes, adapt to desired modes of operation, and provide varied functionality as needed.  Traditional software-defined radios use a combination of conditional processing and software-tuned hardware to enable these features and will critically sample the spectrum to ensure that only the required bandwidth is digitized.  While flexible, these systems are still constrained to perform only a single function at a time and digitize a single frequency sub-band at time, possibly limiting the radio\'s effectiveness.  
Radio systems commonly tune hardware manually or use software controls to digitize sub-bands as needed, critically sampling those sub-bands according to the Nyquist criterion.  Recent technology advancements have enabled efficient and cost-effective over-sampling of the spectrum, allowing all bandwidths of interest to be captured for processing simultaneously, a process known as band-sampling.  Simultaneous access to measurements from all of the frequency sub-bands enables both awareness of the spectrum and seamless operation between radio applications, which is critical to many applications.  Further, more information may be obtained for the spectral content of each sub-band from measurements of other sub-bands that could improve performance in applications such as detecting the presence of interference in weak signal measurements.    
This thesis presents a new method for confirming the source of detected energy in weak signal measurements by sampling them directly, then estimating their expected effects.  First, we assume that the detected signal is located within the frequency band as measured, and then we assume that the detected signal is, in fact, interference perceived as a result of signal aliasing.  By comparing the expected effects to the entire measurement and assuming the power spectral density of the digitized bandwidth is sparse, we demonstrate the capability to identify the true source of the detected energy.  We also demonstrate the ability of the method to identify interfering signals not by explicitly sampling them, but rather by measuring the signal aliases that they produce.  Finally, we demonstrate that by leveraging techniques developed in the field of Compressed Sensing, the method can recover signal aliases by analyzing less than 25 percent of the total spectrum.
Master of Science
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Andersson, Sebastian. "Implementation of a reconstruction software and image quality assessment tool for a micro-CT system." Thesis, KTH, Fysik, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-183147.

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Gryshkov, O. P., M. Y. Tymkovych, О. Г. Аврунін, and B. Glasmacher. "Experience of development and use of specialized software intended for automated analysis of alginate structures." Thesis, ХНУРЕ, 2019. http://openarchive.nure.ua/handle/document/8374.

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The work is devoted to the problem of three-dimensional reconstruction of alginate capsules and their subsequent analysis. The results of the software are shown and the main stages of its work are described. They include such image processing operations as filtering, segmentation, morphological operations, classification, construction of Hough space with the subsequent analysis stage.
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Books on the topic "Software reconstruction"

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Press, Home Builder, ed. Software directory for home builders and remodelers, 1993. Washington, D.C: Home Builder Press, National Association of Home Builders, 1993.

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Vinci, Michele. Metodi di calcolo e tecniche di consolidamento per edifici in muratura: Analisi, esempi di calcolo, particolari costruttivi. [Palermo]: Dario Flaccovio, 2012.

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Chuvikov, Dmitriy. Models and algorithms for reconstruction and examination of emergency events of road accidents based on logical artificial intelligence. 2nd ed. ru: INFRA-M Academic Publishing LLC., 2021. http://dx.doi.org/10.12737/1220729.

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The purpose of the monograph is to create a methodology, combined expert and simulation models, as well as algorithms and software-modeling tools for reconstruction and examination of accident events for automating decision-making by an expert center employee. The methodology of combining and algorithms of joint work of an expert system based on logical artificial intelligence (mivar approach) and a simulation system for solving problems of reconstruction and examination of road accidents are developed; model reconstruction and examination of the accident in the formalism of the knowledge base bipartite oriented mivar nets, including analysis formulas braking qualities of the vehicle, determining the speed of a car's performance in terms of specific DTS, the formula for calculating different occasions: - slip car when braking, driving on curved sections of the road, hitting a car on the pedestrian in uniform motion and unlimited visibility; a method of generation of interfaces for designer expert systems based on the concept of mivar approach; special software in the form of expert systems "Analysis of road accident" in order to reduce the complexity of the process of calculating the disputed accidents, errors in the calculation and improve the accuracy and objectivity of the results obtained and the speed and quality of the calculations. It can be useful to specialists of expert institutions, insurance companies, educational institutions in the field of expertise, as well as unmanned vehicles in terms of objective analysis and examination of road accidents.
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Jones, Allan R. Surface reconstruction from planar contours. 1986.

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Techniques in Operative Orthopaedics: Adult Reconstruction : Pda Software (Techniques in Operative Orthopaedics). C.V. Mosby, 2003.

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Brown, Melissa. Software Directory for Home Builders & Remodelers 1996. Home Builder Pr, 1995.

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Book chapters on the topic "Software reconstruction"

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Koschke, Rainer. "Architecture Reconstruction." In Software Engineering, 140–73. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-540-95888-8_6.

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Riva, Claudio. "Architecture Reconstruction in Practice." In Software Architecture, 159–73. Boston, MA: Springer US, 2002. http://dx.doi.org/10.1007/978-0-387-35607-5_10.

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Guo, George Yanbing, Joanne M. Atlee, and Rick Kazman. "A Software Architecture Reconstruction Method." In Software Architecture, 15–33. Boston, MA: Springer US, 1999. http://dx.doi.org/10.1007/978-0-387-35563-4_2.

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Ersoy, Ersin, Kamer Kaya, Metin Altınışık, and Hasan Sözer. "Using Hypergraph Clustering for Software Architecture Reconstruction of Data-Tier Software." In Software Architecture, 326–33. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-48992-6_24.

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Hosokawa, Naofumi, Yuki Sugiura, and Mitsutoshi Setou. "Ion Image Reconstruction Using BioMap Software." In Imaging Mass Spectrometry, 113–26. Tokyo: Springer Japan, 2010. http://dx.doi.org/10.1007/978-4-431-09425-8_9.

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Prajapati, Amarjeet, and Zong Woo Geem. "Harmony Search-Enhanced Software Architecture Reconstruction." In Handbook on Artificial Intelligence-Empowered Applied Software Engineering, 87–99. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-08202-3_6.

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Canteaut, Anne, and Eric Filiol. "Ciphertext only Reconstruction of Stream Ciphers Based on Combination Generators." In Fast Software Encryption, 165–80. Berlin, Heidelberg: Springer Berlin Heidelberg, 2001. http://dx.doi.org/10.1007/3-540-44706-7_12.

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Giani, Simone. "Physics Simulation Software Foundations, Methodology and Functionality." In Molecular Imaging: Computer Reconstruction and Practice, 19–37. Dordrecht: Springer Netherlands, 2008. http://dx.doi.org/10.1007/978-1-4020-8752-3_3.

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Soltanieh, Amin, and Markus Siegle. "Solving Systems of Bilinear Equations for Transition Rate Reconstruction." In Fundamentals of Software Engineering, 157–72. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-89247-0_11.

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Schöning, Julius, and Gunther Heidemann. "Evaluation of Multi-view 3D Reconstruction Software." In Computer Analysis of Images and Patterns, 450–61. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-23117-4_39.

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Conference papers on the topic "Software reconstruction"

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Isselmou, O. D., E. Perna, B. Shariat, and D. Vandorpe. "3D Reconstruction Software." In Proceedings of the Second Pacific Conference on Computer Graphics and Applications, Pacific Graphics '94. WORLD SCIENTIFIC, 1994. http://dx.doi.org/10.1142/9789814503860_0020.

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Trocino, Daniele, and CMS Collaboration. "The CMS muon reconstruction software." In INTERNATIONAL CONFERENCE OF COMPUTATIONAL METHODS IN SCIENCES AND ENGINEERING 2009: (ICCMSE 2009). AIP, 2012. http://dx.doi.org/10.1063/1.4771870.

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Ayuso, Catherine. "The Online Reconstruction Software at the E1039/SpinQuest Experiment." In The Online Reconstruction Software at the E1039/SpinQuest Experiment. US DOE, 2020. http://dx.doi.org/10.2172/1771291.

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Mirakhorli, Mehdi. "Software architecture reconstruction: Why? What? How?" In 2015 IEEE 22nd International Conference on Software Analysis, Evolution and Reengineering (SANER). IEEE, 2015. http://dx.doi.org/10.1109/saner.2015.7081885.

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Pruijt, Leo, and Wiebe Wiersema. "Software architecture reconstruction and compliance checking." In ECSA '17: 11th European Conference on Software Architecture. New York, NY, USA: ACM, 2017. http://dx.doi.org/10.1145/3129790.3129809.

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Nierstrasz, Oscar, Markus Kobel, Tudor Girba, and Michele Lanza. "Example-Driven Reconstruction of Software Models." In 11th European Conference on Software Maintenance and Reengineering (CSMR'07). IEEE, 2007. http://dx.doi.org/10.1109/csmr.2007.23.

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Malet Planas, Albert, Diego Garcia Pinto, Oliver Diaz, Robert Marti Marly, and Josep Fernandez Bayó. "Breast tomosynthesis reconstruction using TIGRE software tool." In Fourteenth International Workshop on Breast Imaging, edited by Elizabeth A. Krupinski. SPIE, 2018. http://dx.doi.org/10.1117/12.2317933.

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Strupczewski, Adam, and Błażej Czupryński. "3D reconstruction software comparison for short sequences." In Symposium on Photonics Applications in Astronomy, Communications, Industry and High-Energy Physics Experiments, edited by Ryszard S. Romaniuk. SPIE, 2014. http://dx.doi.org/10.1117/12.2075922.

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Zukovic, Sanja, Milica Medenica, Irena Orovic, and Srdjan Stankovic. "Synthetic software tool for compressive sensing reconstruction." In 2014 3rd Mediterranean Conference on Embedded Computing (MECO). IEEE, 2014. http://dx.doi.org/10.1109/meco.2014.6862699.

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de Jong, Tijmen, and Jan Martijn E. M. van der Werf. "Process-mining based dynamic software architecture reconstruction." In the 13th European Conference. New York, New York, USA: ACM Press, 2019. http://dx.doi.org/10.1145/3344948.3344985.

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Reports on the topic "Software reconstruction"

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O'Brien, Liam, Christoph Stoermer, and Chris Verhoef. Software Architecture Reconstruction: Practice Needs and Current Approaches. Fort Belvoir, VA: Defense Technical Information Center, August 2002. http://dx.doi.org/10.21236/ada407795.

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Strother, Philip David. Design and Application of the Reconstruction Software for the BaBar Calorimeter. Office of Scientific and Technical Information (OSTI), July 2006. http://dx.doi.org/10.2172/885541.

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Estep, R. J. TGS[underscore]FIT: Image reconstruction software for quantitative, low-resolution tomographic assays. Office of Scientific and Technical Information (OSTI), January 1993. http://dx.doi.org/10.2172/6779008.

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Eslinger, P. W. Software Development Plan for DESCARTES and CIDER. Hanford Environmental Dose Reconstruction Project: Version 1.0. Office of Scientific and Technical Information (OSTI), December 1992. http://dx.doi.org/10.2172/10124172.

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Palomino Gallo, Jose Luis. Tests of the Hardware and Software for the Reconstruction of Trajectories in the Experiment MINERvA. Office of Scientific and Technical Information (OSTI), May 2009. http://dx.doi.org/10.2172/1000270.

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Huang, Haohang, Erol Tutumluer, Jiayi Luo, Kelin Ding, Issam Qamhia, and John Hart. 3D Image Analysis Using Deep Learning for Size and Shape Characterization of Stockpile Riprap Aggregates—Phase 2. Illinois Center for Transportation, September 2022. http://dx.doi.org/10.36501/0197-9191/22-017.

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Riprap rock and aggregates are extensively used in structural, transportation, geotechnical, and hydraulic engineering applications. Field determination of morphological properties of aggregates such as size and shape can greatly facilitate the quality assurance/quality control (QA/QC) process for proper aggregate material selection and engineering use. Many aggregate imaging approaches have been developed to characterize the size and morphology of individual aggregates by computer vision. However, 3D field characterization of aggregate particle morphology is challenging both during the quarry production process and at construction sites, particularly for aggregates in stockpile form. This research study presents a 3D reconstruction-segmentation-completion approach based on deep learning techniques by combining three developed research components: field 3D reconstruction procedures, 3D stockpile instance segmentation, and 3D shape completion. The approach was designed to reconstruct aggregate stockpiles from multi-view images, segment the stockpile into individual instances, and predict the unseen side of each instance (particle) based on the partial visible shapes. Based on the dataset constructed from individual aggregate models, a state-of-the-art 3D instance segmentation network and a 3D shape completion network were implemented and trained, respectively. The application of the integrated approach was demonstrated on re-engineered stockpiles and field stockpiles. The validation of results using ground-truth measurements showed satisfactory algorithm performance in capturing and predicting the unseen sides of aggregates. The algorithms are integrated into a software application with a user-friendly graphical user interface. Based on the findings of this study, this stockpile aggregate analysis approach is envisioned to provide efficient field evaluation of aggregate stockpiles by offering convenient and reliable solutions for on-site QA/QC tasks of riprap rock and aggregate stockpiles.
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Kazman, Rick, and S. J. Carriere. Playing Detective: Reconstructing Software Architecture from Available Evidence. Fort Belvoir, VA: Defense Technical Information Center, October 1997. http://dx.doi.org/10.21236/ada330928.

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BARKHATOV, NIKOLAY, and SERGEY REVUNOV. A software-computational neural network tool for predicting the electromagnetic state of the polar magnetosphere, taking into account the process that simulates its slow loading by the kinetic energy of the solar wind. SIB-Expertise, December 2021. http://dx.doi.org/10.12731/er0519.07122021.

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Abstract:
The auroral activity indices AU, AL, AE, introduced into geophysics at the beginning of the space era, although they have certain drawbacks, are still widely used to monitor geomagnetic activity at high latitudes. The AU index reflects the intensity of the eastern electric jet, while the AL index is determined by the intensity of the western electric jet. There are many regression relationships linking the indices of magnetic activity with a wide range of phenomena observed in the Earth's magnetosphere and atmosphere. These relationships determine the importance of monitoring and predicting geomagnetic activity for research in various areas of solar-terrestrial physics. The most dramatic phenomena in the magnetosphere and high-latitude ionosphere occur during periods of magnetospheric substorms, a sensitive indicator of which is the time variation and value of the AL index. Currently, AL index forecasting is carried out by various methods using both dynamic systems and artificial intelligence. Forecasting is based on the close relationship between the state of the magnetosphere and the parameters of the solar wind and the interplanetary magnetic field (IMF). This application proposes an algorithm for describing the process of substorm formation using an instrument in the form of an Elman-type ANN by reconstructing the AL index using the dynamics of the new integral parameter we introduced. The use of an integral parameter at the input of the ANN makes it possible to simulate the structure and intellectual properties of the biological nervous system, since in this way an additional realization of the memory of the prehistory of the modeled process is provided.
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Software requirements specification for the Hanford Environmental Dose Reconstruction Project air pathway environmental accumulation and dose codes. Office of Scientific and Technical Information (OSTI), December 1992. http://dx.doi.org/10.2172/6714771.

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Software requirements specification for the Hanford Environmental Dose Reconstruction Project air pathway environmental accumulation and dose codes. Office of Scientific and Technical Information (OSTI), December 1992. http://dx.doi.org/10.2172/10117382.

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