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Journal articles on the topic 'Software architecture reconstruction'
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Schmidt, Frederick, Stephen MacDonell, and Andy M. Connor. "Multi-Objective Reconstruction of Software Architecture." International Journal of Software Engineering and Knowledge Engineering 28, no. 06 (2018): 869–92. http://dx.doi.org/10.1142/s0218194018500262.
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Design erosion is a persistent problem within the software engineering discipline. Software designs tend to deteriorate over time and there is a need for tools and techniques that support software architects when dealing with legacy systems. This paper presents an evaluation of a search-based software engineering (SBSE) approach intended to recover high-level architecture designs of software systems by structuring low-level artifacts into high-level architecture artifact configurations. In particular, this paper describes the performance evaluation of a number of metaheuristic search algorithms applied to architecture reconstruction problems with high dimensionality in terms of objectives. These problems have been selected as representative of the typical challenges faced by software architects dealing with legacy systems and the results inform the ongoing development of a software tool that supports the analysis of trade-offs between different reconstructed architectures.
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Stoermer, Christoph, Anthony Rowe, Liam O'Brien, and Chris Verhoef. "Model-centric software architecture reconstruction." Software: Practice and Experience 36, no. 4 (2006): 333–63. http://dx.doi.org/10.1002/spe.699.
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KANG, SUNGWON, SEONAH LEE, and DANHYUNG LEE. "A FRAMEWORK FOR TOOL-BASED SOFTWARE ARCHITECTURE RECONSTRUCTION." International Journal of Software Engineering and Knowledge Engineering 19, no. 02 (2009): 283–305. http://dx.doi.org/10.1142/s0218194009004167.
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For software with nontrivial size and complexity, it is not feasible to manually perform architecture reconstruction. Therefore it is essential for the software architecture miner who is mining architecture from the existing software to have a well-defined software architecture reconstruction process that helps incorporate as much tool use as possible at the appropriate steps of architecture reconstruction. There are some existing software architecture reconstruction frameworks but they do not provide guidelines on how to systematically utilize tools to produce architecture views for a reconstruction purpose. In this paper, we propose a framework for tool-based software architecture reconstruction. This framework consists of a generic process for software architecture reconstruction and the steps to derive from it a concrete tool-based process to be used for actual architecture reconstruction. The architecture miner can use this framework to analyze source code for modifying source code as well as to reconstruct software architecture from source code.
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Qiu, Dehong, Qifeng Zhang, and Shaohong Fang. "Reconstructing Software High-Level Architecture by Clustering Weighted Directed Class Graph." International Journal of Software Engineering and Knowledge Engineering 25, no. 04 (2015): 701–26. http://dx.doi.org/10.1142/s0218194015500072.
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Software architecture reconstruction plays an important role in software reuse, evolution and maintenance. Clustering is a promising technique for software architecture reconstruction. However, the representation of software, which serves as clustering input, and the clustering algorithm need to be improved in real applications. The representation should contain appropriate and adequate information of software. Furthermore, the clustering algorithm should be adapted to the particular demands of software architecture reconstruction well. In this paper, we first extract Weighted Directed Class Graph (WDCG) to represent object-oriented software. WDCG is a structural and quantitative representation of software, which contains not only the static information of software source code but also the dynamic information of software execution. Then we propose a WDCG-based Clustering Algorithm (WDCG-CA) to reconstruct high-level software architecture. WDCG-CA makes full use of the structural and quantitative information of WDCG, and avoids wrong compositions and arbitrary partitions successfully in the process of reconstructing software architecture. We introduce four metrics to evaluate the performance of WDCG-CA. The results of the comparative experiments show that WDCG-CA outperforms the comparative approaches in most cases in terms of the four metrics.
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Prajapati, Amarjeet, and Zong Woo Geem. "Harmony Search-Based Approach for Multi-Objective Software Architecture Reconstruction." Mathematics 8, no. 11 (2020): 1906. http://dx.doi.org/10.3390/math8111906.
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The success of any software system highly depends on the quality of architectural design. It has been observed that over time, the quality of software architectural design gets degraded. The software system with poor architecture design is difficult to understand and maintain. To improve the architecture of a software system, multiple design goals or objectives (often conflicting) need to be optimized simultaneously. To address such types of multi-objective optimization problems a variety of metaheuristic-oriented computational intelligence algorithms have been proposed. In existing approaches, harmony search (HS) algorithm has been demonstrated as an effective approach for numerous types of complex optimization problems. Despite the successful application of the HS algorithm on different non-software engineering optimization problems, it gained little attention in the direction of architecture reconstruction problem. In this study, we customize the original HS algorithm and propose a multi-objective harmony search algorithm for software architecture reconstruction (MoHS-SAR). To demonstrate the effectiveness of the MoHS-SAR, it has been tested on seven object-oriented software projects and compared with the existing related multi-objective evolutionary algorithms in terms of different software architecture quality metrics and metaheuristic performance criteria. The experimental results show that the MoHS-SAR performs better compared to the other related multi-objective evolutionary algorithms.
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Ducasse, S., and D. Pollet. "Software Architecture Reconstruction: A Process-Oriented Taxonomy." IEEE Transactions on Software Engineering 35, no. 4 (2009): 573–91. http://dx.doi.org/10.1109/tse.2009.19.
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Guamán, Daniel, Jennifer Pérez, Jessica Diaz, and Carlos E. Cuesta. "Towards a reference process for software architecture reconstruction." IET Software 14, no. 6 (2020): 592–606. http://dx.doi.org/10.1049/iet-sen.2019.0246.
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Gasanov, Arsenii. "Virtual 3D-reconstruction of key buildings of the Baranchinsky plant in the Perm Province at the turn of the 19th-20th centuries (source studies and technological aspects)." Исторический журнал: научные исследования, no. 2 (February 2025): 34–53. https://doi.org/10.7256/2454-0609.2025.2.73752.
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This article is dedicated to the process of virtual 3D reconstruction of the manufacturing complex of the Barancha plant in the Perm region, with the turn of the 19th-20th centuries chosen as the time period for reconstruction, representing the peak of the enterprise's development and the most documented period. The architectural design of the blast furnaces, executed by architect A.Z. Komarov, is an outstanding and unique example of Ural industrial architecture. The history of the plant is associated with the names of V.N. Demidov and P.I. Shuvалов, and it was visited by an expedition led by D.I. Mendeleev. The Barancha plant was built in 1743, and its long history included periods of prosperity and decline, while its unique architecture, influenced by the characteristics of the region and the time period, makes the plant an interesting subject for virtual reconstruction. The main aspects under consideration are the work with historical sources in the context of virtual reconstruction of cultural and industrial heritage, particularly the methods of virtual 3D reconstruction, and the issues of selecting and applying software. The novelty of the work lies in the approach to industrial heritage within the field of virtual 3D reconstruction, as well as the scale of the reconstructed object, which consists of an entire complex of buildings, summarizing the experience of working with sources and software in the development of virtual 3D reconstructions. Currently, most historical buildings of the Barancha plant have been destroyed, which makes the choice of it as an object for reconstruction particularly relevant. The work presents images of several sources depicting the visual appearance of the plant, supported by their descriptions and classifications, screenshots of the reconstruction process demonstrating the technical solutions employed, as well as final visualizations (renders) of the complex of buildings that were the subject of virtual reconstruction. All work on the virtual 3D reconstruction was carried out using free software – the 3D editor Blender.
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Arcelli Fontana, Francesca, and Marco Zanoni. "A tool for design pattern detection and software architecture reconstruction." Information Sciences 181, no. 7 (2011): 1306–24. http://dx.doi.org/10.1016/j.ins.2010.12.002.
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Zenian, Bahareh, Zoheir Mottaki, and Mahnaz Mahmoudi Zarandi. "A Meta-study of Architectural Design Processes in Post-disaster Housing Reconstruction in Iran." Disaster Prevention and Management Knowledge 13, no. 2 (2023): 114–43. http://dx.doi.org/10.32598/dmkp.13.2.214.3.
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Background and objective Despite conducting numerous studies in the two areas of “architectural design process” and “post-disaster housing reconstruction” in recent years in Iran, limited studies have been conducted for the meta-study of these two areas. Therefore, to redefine the “post-disaster housing reconstruction” and strengthen the common theoretical foundations, the current study aims to review the related studies to obtain in-depth knowledge of the concepts common between post-disaster housing reconstruction and architectural design process, extract operational concepts, and formulate a proposed conceptual model. Method This is a mixed-method meta-study using an interpretive-naturalistic approach. The articles published in Persian over the last twenty years were searched using the keywords “housing architecture design process”, “post-disaster housing reconstruction,” and “participatory architecture design process and post-disaster housing “. The initial search yielded 168 articles. After several stages of screening, 66 articles were selected for further review. Quantitative analysis was done using descriptive statistics in Excel software. Qualitative analysis was done using the coding technique and MaxQDA software. Results The studies in the field of Iranian architecture are mainly subject-oriented and independent of time and place, based on theoretical knowledge along with the global knowledge of architecture and in line with the third generation of design processes (mental processes of architects). Meanwhile, the articles in the field of post-disaster housing reconstruction in Iran are mainly experience-oriented and location-oriented, with an applied design and using a case study method. Conclusion The “post-disaster housing design process,” due to its nature, includes all three generations of architectural design processes, including systematic, collaborative, and mental processes. Recognizing and redefining the “steps of post-disaster housing design and planning”, “roles and responsibilities”, and “managing the implementation of plans and programs” related to the systematic processes; “participatory design and participatory architects”, “participation in post-disaster design and supply of housing”, “effective factors, barriers, and facilitators of participation” related to the collaborative processes; and “architect- and problem-focused design factors”, “architect’s post-disaster knowledge and attitude towards the situation”, “redefining the post-disaster contextual architecture” and “ mentalizing factors of the architect and disaster survivors” related to the mental processes are the most important issues involved in the three generations of the post-disaster housing design process.
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Lutteroth, Jan, Piotr Kuroczyński, and Igor Piotr Bajena. "Digital 3D reconstructions of synagogues for an innovative approach on Jewish architectural heritage in East Central Europe." Virtual Archaeology Review 16, no. 32 (2025): 144–60. https://doi.org/10.4995/var.2024.22542.
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Highlights: The article describes the concept of a Scientific Reference Model (SRM) and its specific workflow and guidelines exemplified for a hypothetical 3D reconstruction of architectural cultural heritage. The article gives new insights and questions concerning the former synagogue in Ashmyany (Belarus) as a Case Study for testing the SRM concept. The article gives an insight into the market for infrastructures for publication and preservation of 3D models of cultural heritage using the example of the presented case study. Abstract: This article examines the application of the Scientific Reference Model (SRM) concept in hypothetical three-dimensional (3D) reconstructions of architectural heritage, focusing on the synagogue in Ashmyany, Belarus. The SRM approach, tested in courses at the Hochschule Mainz, allows for transparent documentation of digital reconstructions to support further scholarly research and community engagement. Using historical source material, the 3D model of the synagogue in Ashmyany, serves as a case study for testing this methodology. The reconstruction process highlights the complexity of preserving Jewish architectural heritage in East Central Europe, where shifting political borders and a lack of comprehensive documentation complicate efforts. The synagogue’s architecture, including significant elements such as the Bima and Torah ark, was modelled using Building Information Modelling (BIM)-compliant software. However, certain elements had to be approximated due to limited historical sources, illustrating the challenge of reconstructing lost heritage with accuracy. The integration of historical photographs and surveys into the modelling phase not only enriched the digital reconstruction but also led to further questions about the building’s history and modifications over time. In addition to creating 3D models, the SRM emphasizes the importance of detailed documentation, following the FAIR principles to ensure that reconstructions are traceable and reusable for future research. Platforms like the CoVHer Repository facilitate the publication and accessibility of these models, alongside their metadata and source documentation. The Ashmyany synagogue case study demonstrates how 3D reconstructions can help visualize lost architectural heritage, offering new insights into its historical context and emphasizing the need for continued research on open repositories and digital preservation efforts. This approach showcases the potential of HBIM-modelling to contribute to the study and preservation of Jewish architectural heritage, while underscoring the ongoing need for community engagement and scholarly collaboration.
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Said, Beldjilali. "3D Rebuilding of a Heritage Construction: Case of City Hall of Mostaganem." Journal of Architectural Drawing 3, no. 3 (2018): 1–4. https://doi.org/10.5281/zenodo.1560711.
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To rebuild 3D there consists in creating a virtual retort identical to the real object in all his definite and geometric characteristics. Beyond virtual reproduction of relief and of the external appearance of objects and artefacts, to rebuild 3D there contributes also in jobs of simulation and virtual animations. In order to do that, to us adopted an approach of reconstruction 3D based mainly on software of computer graphics 3D. Method that we tried of adopting must drive experimental reconstructions 3D using the software of computer graphics: 3ds Max, the Mayan, Zbrush on a neoclassical inheritance constructing which was mutilated: the City Mostaganem. At the end of this applied job, we could rebuild the town hall in the 3D, contributing so to its conservation and its rehabilitation. We also identified tools and techniques for optimum application for reconstruction 3D of a fabricated object. We offer that the method which we developed could be spread to the advantage of several similar cases.
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Allam, Atef, and Wael Deabes. "Model-Based Hardware-Software Codesign of ECT Digital Processing Unit." Modelling and Simulation in Engineering 2021 (March 30, 2021): 1–14. http://dx.doi.org/10.1155/2021/4757464.
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Image reconstruction algorithm and its controller constitute the main modules of the electrical capacitance tomography (ECT) system; in order to achieve the trade-off between the attainable performance and the flexibility of the image reconstruction and control design of the ECT system, hardware-software codesign of a digital processing unit (DPU) targeting FPGA system-on-chip (SoC) is presented. Design and implementation of software and hardware components of the ECT-DPU and their integration and verification based on the model-based design (MBD) paradigm are proposed. The inner-product of large vectors constitutes the core of the majority of these ECT image reconstruction algorithms. Full parallel implementation of large vector multiplication on FPGA consumes a huge number of resources and incurs long combinational path delay. The proposed MBD of the ECT-DPU tackles this problem by crafting a parametric segmented parallel inner-product architecture so as to work as the shared hardware core unit for the parallel matrix multiplication in the image reconstruction and control of the ECT system. This allowed the parameterized core unit to be configured at system-level to tackle large matrices with the segment length working as a design degree of freedom. It allows the trade-off between performance and resource usage and determines the level of computation parallelism. Using MBD with the proposed segmented architecture, the system design can be flexibly tailored to the designer specifications to fulfill the required performance while meeting the resources constraint. In the linear-back projection image reconstruction algorithm, the segmentation scheme has exhibited high resource saving of 43% and 71% for a small degradation in a frame rate of 3% and 14%, respectively.
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Müller, Jan, Dirk Fimmel, Renate Merker, and Rainer Schaffer. "A Hardware–Software System for Tomographic Reconstruction." Journal of Circuits, Systems and Computers 12, no. 02 (2003): 203–29. http://dx.doi.org/10.1142/s021812660300074x.
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We present the design of a hardware–software system for the reconstruction of tomographic images. In a systematic approach we developed the parallel processor array, a reconfigurable hardware controller and processing kernel, and the software control up to the integration into a graphical user interface. The processor array acting as a hardware accelerator, is constructed using theoretical results and methods of application-specific hardware design. The reconfigurability of the system allows one to utilize a much wider realm of algorithms than the three reconstruction algorithms implemented so far. In the paper we discuss the system design at different levels from algorithm transformations to board development.
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Zeroual, Mohamed Aziz, Karyna Isaieva, Pierre-André Vuissoz, and Freddy Odille. "Performance Study of an MRI Motion-Compensated Reconstruction Program on Intel CPUs, AMD EPYC CPUs, and NVIDIA GPUs." Applied Sciences 14, no. 21 (2024): 9663. http://dx.doi.org/10.3390/app14219663.
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Motion-compensated image reconstruction enables new clinical applications of Magnetic Resonance Imaging (MRI), but it relies on computationally intensive algorithms. This study focuses on the Generalized Reconstruction by Inversion of Coupled Systems (GRICS) program, applied to the reconstruction of 3D images in cases of non-rigid or rigid motion. It uses hybrid parallelization with the MPI (Message Passing Interface) and OpenMP (Open Multi-Processing). For clinical integration, the GRICS needs to efficiently harness the computational resources of compute nodes. We aim to improve the GRICS’s performance without any code modification. This work presents a performance study of GRICS on two CPU architectures: Intel Xeon Gold and AMD EPYC. The roofline model is used to study the software–hardware interaction and quantify the code’s performance. For CPU–GPU comparison purposes, we propose a preliminary MATLAB–GPU implementation of the GRICS’s reconstruction kernel. We establish the roofline model of the kernel on two NVIDIA GPU architectures: Quadro RTX 5000 and A100. After the performance study, we propose some optimization patterns for the code’s execution on CPUs, first considering only the OpenMP implementation using thread binding and affinity and appropriate architecture-compilation flags and then looking for the optimal combination of MPI processes and OpenMP threads in the case of the hybrid MPI–OpenMP implementation. The results show that the GRICS performed well on the AMD EPYC CPUs, with an architectural efficiency of 52%. The kernel’s execution was fast on the NVIDIA A100 GPU, but the roofline model reported low architectural efficiency and utilization.
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Collins, Nicolas. "Improvising with Architecture." Resonance 2, no. 2 (2021): 168–81. http://dx.doi.org/10.1525/res.2021.2.2.168.
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In Pea Soup a self-stabilizing phase shift network nudges the pitch of audio feedback to a different resonant frequency every time the feedback starts to build. The familiar shriek is replaced with unstable patterns of hollow tones, a site-specific raga reflecting the acoustical personality of the room. These architectural melodies can be influenced by movement in the space, other sounds, or even by a draft of cold air. This essay covers the history of the work, from its earliest iteration in hardware when the author was a student in the 1970s through its software reconstruction in the early 2000s, as well as its influence on the author’s subsequent musical projects.
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Qu, Zhong. "Algebraic Reconstruction Technique in Image Reconstruction Based on Data Mining." International Journal of Data Warehousing and Mining 2, no. 3 (2006): 1–15. http://dx.doi.org/10.4018/jdwm.2006070101.
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Kudo, Tomoo, Yoshihito Shimazu, Hisao Yagishita, et al. "Three-Dimensional Reconstruction of Oral Tongue Squamous Cell Carcinoma at Invasion Front." International Journal of Dentistry 2013 (2013): 1–11. http://dx.doi.org/10.1155/2013/482765.
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We conducted three-dimensional (3D) reconstruction of oral tongue squamous cell carcinoma (OTSCC) using serial histological sections to visualize the architecture of invasive tumors. Fourteen OTSCC cases were collected from archival paraffin-embedded specimens. Based on a pathodiagnostic survey of whole cancer lesions, a core tissue specimen (3 mm in diameter) was dissected out from the deep invasion front using a paraffin tissue microarray. Serial sections (4 μm thick) were double immunostained with pan-cytokeratin and Ki67 antibodies and digitized images were acquired using virtual microscopy. For 3D reconstruction, image registration and RGB color segmentation were automated using ImageJ software to avoid operator-dependent subjective errors. Based on the 3D tumor architecture, we classified the mode of invasion into four types: pushing and bulky architecture; trabecular architecture; diffuse spreading; and special forms. Direct visualization and quantitative assessment of the parenchymal-stromal border provide a new dimension in our understanding of OTSCC architecture. These 3D morphometric analyses also ascertained that cell invasion (individually and collectively) occurs at the deep invasive front of the OTSCC. These results demonstrate the advantages of histology-based 3D reconstruction for evaluating tumor architecture and its potential for a wide range of applications.
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Abella, M., J. J. Vaquero, A. Sisniega, et al. "Software architecture for multi-bed FDK-based reconstruction in X-ray CT scanners." Computer Methods and Programs in Biomedicine 107, no. 2 (2012): 218–32. http://dx.doi.org/10.1016/j.cmpb.2011.06.008.
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Kortelainen, Matti J., Martin Kwok, Taylor Childers, Alexei Strelchenko, and Yunsong Wang. "Porting CMS Heterogeneous Pixel Reconstruction to Kokkos." EPJ Web of Conferences 251 (2021): 03034. http://dx.doi.org/10.1051/epjconf/202125103034.
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Programming for a diverse set of compute accelerators in addition to the CPU is a challenge. Maintaining separate source code for each architecture would require lots of effort, and development of new algorithms would be daunting if it had to be repeated many times. Fortunately there are several portability technologies on the market such as Alpaka, Kokkos, and SYCL. These technologies aim to improve the developer’s productivity by making it possible to use the same source code for many different architectures. In this paper we use heterogeneous pixel reconstruction code from the CMS experiment at the CERNL LHC as a realistic use case of a GPU-targeting HEP reconstruction software, and report experience from prototyping a portable version of it using Kokkos. The development was done in a standalone program that attempts to model many of the complexities of a HEP data processing framework such as CMSSW. We also compare the achieved event processing throughput to the original CUDA code and a CPU version of it.
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Pierrot-Deseilligny, Marc, Livio De Luca, and Fabio Remondino. "Automated Image-Based Procedures for Accurate Artifacts 3D Modeling and Orthoimage Generation." Geoinformatics FCE CTU 6 (December 21, 2011): 291–99. http://dx.doi.org/10.14311/gi.6.36.
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The accurate 3D documentation of architectures and heritages is getting very common and required in different application contexts. The potentialities of the image-based approach are nowadays very well-known but there is a lack of reliable, precise and flexible solutions, possibly open-source, which could be used for metric and accurate documentation or digital conservation and not only for simple visualization or web-based applications. The article presents a set of photogrammetric tools developed in order to derive accurate 3D point clouds and orthoimages for the digitization of archaeological and architectural objects. The aim is also to distribute free solutions (software, methodologies, guidelines, best practices, etc.) based on 3D surveying and modeling experiences, useful in different application contexts (architecture, excavations, museum collections, heritage documentation, etc.) and according to several representations needs (2D technical documentation, 3D reconstruction, web visualization, etc.).<br />
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Huang, Guoxian, and Lei Wang. "An FPGA-Based Architecture for High-Speed Compressed Signal Reconstruction." ACM Transactions on Embedded Computing Systems 16, no. 3 (2017): 1–23. http://dx.doi.org/10.1145/3056481.
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Báskay, János, Dorottya Pénzes, Endre Kontsek, et al. "Are Artificial Intelligence-Assisted Three-Dimensional Histological Reconstructions Reliable for the Assessment of Trabecular Microarchitecture?" Journal of Clinical Medicine 13, no. 4 (2024): 1106. http://dx.doi.org/10.3390/jcm13041106.
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This study aimed to create a three-dimensional histological reconstruction through the AI-assisted classification of tissues and the alignment of serial sections. The secondary aim was to evaluate if the novel technique for histological reconstruction accurately replicated the trabecular microarchitecture of bone. This was performed by conducting micromorphometric measurements on the reconstruction and comparing the results obtained with those of microCT reconstructions. A bone biopsy sample was harvested upon re-entry following sinus floor augmentation. Following microCT scanning and histological processing, a modified version of the U-Net architecture was trained to categorize tissues on the sections. Detector-free local feature matching with transformers was used to create the histological reconstruction. The micromorphometric parameters were calculated using Bruker’s CTAn software (version 1.18.8.0, Bruker, Kontich, Belgium) for both histological and microCT datasets. Correlation coefficients calculated between the micromorphometric parameters measured on the microCT and histological reconstruction suggest a strong linear relationship between the two with ⍴-values of 0.777, 0.717, 0.705, 0.666, and 0.687 for BV/TV, BS/TV, Tb.Pf Tb.Th, and Tb.Sp, respectively. Bland–Altman and mountain plots suggest good agreement between BV/TV measurements on the two reconstruction methods. This novel method for three-dimensional histological reconstruction provides researchers with a tool that enables the assessment of accurate trabecular microarchitecture and histological information simultaneously.
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Ardizzone, Edoardo, Antonio Chella, and Salvatore Gaglio. "Hybrid architecture for shape reconstruction and object recognition." International Journal of Intelligent Systems 11, no. 12 (1998): 1115–33. http://dx.doi.org/10.1002/(sici)1098-111x(199612)11:12<1115::aid-int5>3.0.co;2-q.
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SOROKIN, M. I., D. D. ZHDANOV, and A. D. ZHDANOV. "3D SCENE RECONSTRUCTION AND DIGITIZATION METHOD FOR MIXED REALITY SYSTEMS." Программирование, no. 3 (May 1, 2023): 26–36. http://dx.doi.org/10.31857/s0132347423030056.
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Mixed reality systems are a promising direction of research that opens up great opportunities forinteraction with virtual objects in the real world. Like any promising direction, mixed reality has a number of unresolved problems. One of these problems is the synthesis of natural lighting conditions for virtual objects, including the correct light interaction of virtual objects with the real world. Since virtual and real objects are located in different spaces, it is difficult to ensure their correct interaction. To create digital copies of realworld objects, machine learning tools and neural network technologies are employed. These methods are successfully used in computer vision for space orientation and environment reconstruction. As a solution, it is proposed to transfer all objects into the same information space: virtual space. This makes it possible to solve most of the problems associated with visual discomfort caused by the unnatural light interaction of real and virtual objects. Thus, the basic idea of the method is to recognize physical objects from point clouds and replace these objects with virtual CAD models. In other words, it implies semantic analysis of a scene and classification of objects with their subsequent transformation into polygonal models. In this study, we use competitive neural network architectures, which can provide state-of-the-art results. The test experiments are carried out on Semantic3D, ScanNet, and S3DIS, which are currently the largest datasets with point clouds that represent indoor scenes. For semantic segmentation and classification of 3D point clouds, we use the PointNeXt architecture based on PointNet, as well as modern methods of data augmentation in the process of learning. For geometry reconstruction, the Soft Rasterizer differentiable rendering method and the Total3Understanding neural network are considered.
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Argyrou, M., P. Paschalis, D. Maintas, and E. Stiliaris. "Tomographic Image Reconstruction based on Artificial Neural Network (ANN) Techniques." HNPS Proceedings 18 (November 23, 2019): 89. http://dx.doi.org/10.12681/hnps.2542.
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A new approach for tomographic image reconstruction from projections using Artificial Neural Network (ANN) techniques is presented in this work. The design of the proposed reconstruction system is based on a simple but efficient network architecture, which best utilizes all available input information. Due to the computational complexity, which grows quadratically with the image size, the training phase of the system is characterized by relatively large CPU times. The trained network, on the contrary, is able to provide all necessary information in a quick and efficient way giving results comparable to other time consuming iterative reconstruction algorithms. The performance of the network studied with a large number of software phantoms is directly compared to the well known Algebraic Reconstruction Technique (ART). For a given image and projections size, the role of the hidden layers in the network architecture is examined and the quality dependence of the reconstructed image on the size of the geometrical patterns used in the training phase is also investigated.
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Ginat, David. "Board reconstruction." ACM SIGCSE Bulletin 35, no. 4 (2003): 25–26. http://dx.doi.org/10.1145/960492.960516.
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LEGRAND, I. C., U. GENSCH, H. LEICH, and P. WEGNER. "DESIGN AND SIMULATION OF THE ON-LINE TRIGGER AND RECONSTRUCTION FARM FOR THE HERA-B EXPERIMENT." International Journal of Modern Physics C 06, no. 04 (1995): 489–94. http://dx.doi.org/10.1142/s0129183195000332.
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The common third level trigger and forth level reconstruction farm for the future HERA-B experiment will have to perform full on-line event reconstruction and calibration for an expected input rate of 2000 events/s. More than a hundred powerful RISC processors connected in a network capable of distributing several hundreds of MB/s with low latency are likely to be necessary for this task. Proper simulation of the real time multi-processor systems is central for an optimal design (hardware and software protocol) of a scalable and flexible parallel data processing architecture. A discrete event, process oriented simulation developed in concurrent μC++ is used as a framework for modelling and evaluating different farm architectures. An object oriented graphic interface to the simulation allows the monitoring of various features and provides an easier way to optimize the system.
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Šleglová, Kristýna, Marek Hrdina, and Peter Surový. "Discovering Tree Architecture: A Comparison of the Performance of 3D Digitizing and Close-Range Photogrammetry." Remote Sensing 17, no. 2 (2025): 202. https://doi.org/10.3390/rs17020202.
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Accurate measurement of tree architecture is vital for understanding forest dynamics and supporting effective forest management. This study evaluates close-range photogrammetry (CRP) using TreeQSM (v2.4.1) software, reconstructing 3D tree structures in both deciduous and coniferous species and comparing its performance to the Fastrak 3D digitizing method. CRP proved less labor-intensive and effective for estimating parameters like tree height, stem diameter, and volume of thicker branches in small trees. However, it struggled with capturing intricate structures, overestimating volumetric values and underestimating branch lengths and counts. Mean relative root mean square errors for height, diameter at 0.3 m height, volume, and branch count were 34.19%, 69.9%, 107.87%, and 142.03%, respectively. These discrepancies stem from challenges in reconstructing moving objects and filtering non-woody elements. While CRP shows potential as a complementary method, further advancements are necessary to improve 3D tree model reconstruction, emphasizing the need for ongoing research in this domain.
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Evers, J. F., S. Schmitt, M. Sibila, and C. Duch. "Progress in Functional Neuroanatomy: Precise Automatic Geometric Reconstruction of Neuronal Morphology From Confocal Image Stacks." Journal of Neurophysiology 93, no. 4 (2005): 2331–42. http://dx.doi.org/10.1152/jn.00761.2004.
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Dendritic architecture provides the structural substrate for myriads of input and output synapses in the brain and for the integration of presynaptic inputs. Understanding mechanisms of evolution and development of neuronal shape and its respective function is thus a formidable problem in neuroscience. A fundamental prerequisite for finding answers is a precise quantitative analysis of neuronal structure in situ and in vivo. Therefore we have developed a tool set for automatic geometric reconstruction of neuronal architecture from stacks of confocal images. It provides exact midlines, diameters, surfaces, volumes, and branch point locations and allows analysis of labeled molecule distribution along neuronal surfaces as well as direct export into modeling software. We show the high accuracy of geometric reconstruction and the analysis of putative input synapse distribution throughout entire dendritic trees from in situ light microscopy preparations as a possible application. The binary version of the reconstruction module is downloadable at no cost.
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Chung, Wonyong. "Differentiable Full Detector Simulation of a Projective Dual-Readout Crystal Electromagnetic Calorimeter with Longitudinal Segmentation and Precision Timing." EPJ Web of Conferences 320 (2025): 00052. https://doi.org/10.1051/epjconf/202532000052.
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A differentiable full detector simulation has been implemented in the key4hep software stack for future colliders. A fully automated and configurable geometry enabling differentiation of all detector dimensions, including crystal widths and thicknesses, is presented. The software architecture, development environment, and necessary components to implement a new detector concept from scratch are described. General AI/ML reconstruction strategies for future collider detectors are discussed, based around the idea of picking the right neural network for each detector.
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Valls Canudas, Núria, Xavier Vilasis Cardona, Míriam Calvo Gómez, and Elisabet Golobardes Ribé. "Preliminary Performance Study of an Alternative Calorimeter Clustering Solution for Allen in LHCb." EPJ Web of Conferences 295 (2024): 02023. http://dx.doi.org/10.1051/epjconf/202429502023.
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The LHCb experiment has recently started a new period of data taking after a major upgrade in both software and hardware. One of the biggest challenges has been the migration of the first part of the trigger system into a parallel GPU architecture framework called Allen, which performs a partial reconstruction of most of the LHCb sub-detectors. In Allen, the reconstruction of the Electromagnetic Calorimeter (ECAL) sub-detector is used in many selection algorithms, but its efficiency is currently 10% lower than the full reconstruction performed in the second stage of the trigger. In this work, we present a preliminary performance study of an alternative ECAL reconstruction algorithm implemented in Allen that complements the current algorithm to maximise the reconstruction efficiency and also minimise the impact on the throughput rate.
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Campoi, L. B. C., L. E. P. Vecina, G. S. R. Costa, et al. "Software architecture at Sirius’ MOGNO beamline, towards a web-based system." Journal of Physics: Conference Series 3010, no. 1 (2025): 012137. https://doi.org/10.1088/1742-6596/3010/1/012137.
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Abstract MOGNO beamline, the micro and nanotomography beamline of the synchrotron light source Sirius, at the Brazilian Synchrotron Light Laboratory (LNLS), supports a variety of tomographic experiments including regular, zoom and panoramic tomographies, and high throughput, as well as in-situ experiments. The existing control software is based on EPICS and uses Python and the PyEpics library for the device abstraction layer that is made available for different control routines. To ensure ease of use, these routines are maily accesed via PyQt/PyDM GUIs at the beamline’s control terminals. Looking to reduce the dependency on the control terminals, a transition towards a web-based control system is proposed, where maintainability, availability and safety, are enhanced. The new architecture is based on a microservices that provide APIs for experiment control and data processing, centralizing tasks on a server and allowing for access through the same GUIs already in use with few changes. Moreover, the decoupling will enable the move to a standardized backend, following facility-wide efforts, such as the use of the Bluesky stack. Importantly, the proposed architecture also enables the use of standard tools for security on its different layers, such as authentication methods, HTTPS, and user management. As proof of concept, the system has been deployed for data reconstruction at the beamline, managing job submission to an HPC cluster via a PyQt GUI.
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Lu, Zhou. "Construction of the 3D Reconstruction System of Building Construction Scene Based on Deep Learning." Scientific Programming 2021 (December 14, 2021): 1–9. http://dx.doi.org/10.1155/2021/5839391.
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The increasing complexity and enormity of construction projects, as well as the fact that the actual operation of construction schedule management still mainly relies on traditional manual management methods, have led to low efficiency of construction schedule management and caused many construction projects to have cost overruns and legal disputes due to schedule delays. Existing 3D reconstruction algorithms often lead to significant voids, distortions, or blurred parts in the reconstructed 3D models, while the machine learning-based 3D reconstruction algorithms are often only to reconstruct simple separated objects and represent them as 3D boxes. A novel architecture of semisupervised 3D reconstruction algorithm is proposed. The algorithm iteratively improves the quality of the original 3D reconstruction model by training a generative adversarial network model to a converged state. Only the prior observed 2D images are required as weakly supervised samples, without any dependence on prior knowledge of the 3D structure shape or reference observations. Experimental results show that this algorithmic framework has significant advantages over the current state-of-the-art 3D reconstruction methods on the standard 3D reconstruction test set.
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Popova, Dimitrina. "Digital Three-Dimensional Reconstruction of an Old House in the Town of Sungurlare from the Architectural Archive at the Institute of Art Studies." Cultural and Historical Heritage: Preservation, Presentation, Digitalization 8, no. 2 (2022): 21–34. http://dx.doi.org/10.55630/kinj.2022.080202.
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This research is dedicated to preserving and studying architectural memory. The attention is focused on the architectural archive at the Institute of Art Studies at the Bulgarian Academy of Sciences where a cultural architectural heritage is collected over decades. Specifically, research interest is towards the collections in fund "Drawings and Surveys" conducted on the case study of a 19th century house of the Hrusanovi brothers in the town of Sungurlare. The building was depicted in plans and facades on paper 60 years ago. In development the knowledge on this old architecture is boosted by transforming it into a digital three-dimensional structure through two software applications. The analysis consists of reading of the archived drawings in the context of reconstruction and achieving a high level of authenticity in it.
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Musavi, Seyyedeh Atefeh, and Mahmoud Reza Hashemi. "An Ontology-Based Method for HW/SW Architecture Reconstruction." IEEE Transactions on Computers 68, no. 7 (2019): 1007–18. http://dx.doi.org/10.1109/tc.2019.2895329.
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Sha, Zhibing, Jiaojiao Wu, Jun Li, Balazs Gerofi, Zhigang Cai, and Jianwei Liao. "Proactive Stripe Reconstruction to Improve Cache Use Efficiency of SSD-Based RAID Systems." ACM Transactions on Embedded Computing Systems 22, no. 5s (2023): 1–18. http://dx.doi.org/10.1145/3609099.
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Solid-State Drives (SSDs) exhibit different failure characteristics compared to conventional hard disk drives. In particular, the Bit Error Rate (BER) of an SSD increases as it bears more writes. Then, Parity-based Redundant Array of Inexpensive Disks (RAID) arrays composed from SSDs are introduced to address correlated failures. In the RAID-5 implementation, specifically, the process of parity generation (or update) associating with a data stripe, consists of read and write operations to the SSDs. Whenever a new update request comes to the RAID system, the related parity must be also updated and flushed onto the RAID component of SSD. Such frequent parity updates result in poor RAID performance and shorten the life-time of the SSDs. Consequently, a DRAM cache is commonly equipped accompanying with the RAID controller, called the parity cache, and used to buffer the parity chunks that are most frequently updated data, for boosting I/O performance. To better improve the use efficiency of the parity cache, this paper proposes a stripe reconstruction approach to minimize the number of parity updates on SSDs, thus boosting I/O performance of the SSD RAID system. When the currently updated stripe has both cold and hot updated data chunks, it will proactively carry out stripe reconstruction if we can find another matched stripe that also includes cold and hot update data chunks on the complementary RAID components. In the reconstruction process, we first group the cold data chunks of two matched stripes, to build a new stripe and flush the parity chunk on the RAID component. After that, the hot data chunks are organized as a new stripe as well, and its parity chunk is buffered in the parity cache. This results in better cache use efficiency, as it can reduce the number of parity updates on RAID components of SSDs, as well as proactively free up cache space for quickly absorbing subsequent write requests. In addition, the proposed method adjusts the target SSD of write requests based on stripe reconstructions through considering the I/O workload balance of all SSDs. Experimental results show that our proposal can reduce the number of parity chunk updates in SSDs by 2.3% and overall I/O latency by 12.2% on average, compared to state-of-the-art parity cache management techniques.
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Lahouli, Rihab, Manel Ben-Romdhane, Chiheb Rebai, and Dominique Dallet. "Mixed baseband architecture based on FBD ΣΔ–based ADC for multistandard receivers." ACTA IMEKO 4, no. 3 (2015): 14. http://dx.doi.org/10.21014/acta_imeko.v4i3.258.
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<p>This paper presents the design and simulation results of a novel mixed baseband stage for a frequency band decomposition (FBD) analog-to-digital converter (ADC) in a multistandard receiver. The proposed FBD-based ADC architecture is flexible with programmable parallel branches composed of discrete time (DT) 4<sup>th</sup> order single-bit Sigma-Delta modulators. The mixed baseband architecture uses a single non-programmable anti-aliasing filter (AAF) avoiding the use of an automatic gain control (AGC) circuit. System level analysis proved that the proposed FBD architecture satisfies design specifications of the software defined radio (SDR) receiver. In this paper, the authors focus on the Butterworth AAF filter design for a multistandard receiver. Besides, theoretical analysis of the reconstruction stage for UMTS test case is discussed. It leads to a complicated system of equations and high digital filter orders. To reduce the digital reconstruction stage complexity, the authors propose an optimized digital reconstruction stage architecture design. The demodulation-based digital reconstruction stage using two decimation stages has been implemented using MATLAB/SIMULINK. Technical choices and performances are discussed. The computed signal-to-noise ratio (SNR) of the MATLAB/SIMULINK FBD ADC model is equal to at least 75 dB which satisfies the dynamic range required for UMTS signals. Next to hardware implementation with quantized filters coefficients, the authors implemented their proposition in VHDL in a SysGen environment. The measured SNR of the hardware implementation is equal to 74.08 dB which satisfies the required dynamic range of UMTS signals.</p>
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Formica, Andrea, Riccardo Maria Bianchi, and Alessandro De Salvo. "A new mechanism to use the Conditions Database REST API to serve the ATLAS detector description." EPJ Web of Conferences 214 (2019): 04032. http://dx.doi.org/10.1051/epjconf/201921404032.
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Efficient and fast access to the detector description of the ATLAS experiment is needed for many tasks, at different steps of the data chain: from detector development to reconstruction, from simulation to data visualization. Until now, the detector description was only accessible through dedicated services integrated into the experiment’s software framework, or by the use of external applications. In this work, we explore the possibility of using a web access-based conditions database to store and serve the detector description, aiming at a simplification of the software architecture of the experiment and a reduction in the number of software packages to be maintained.
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Cercos-Pita, J. L., I. R. Cal, D. Duque, and G. Sanjuán de Moreta. "NASAL-Geom, a free upper respiratory tract 3D model reconstruction software." Computer Physics Communications 223 (February 2018): 55–68. http://dx.doi.org/10.1016/j.cpc.2017.10.008.
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Allen, Matthew. "The Genius of Bureaucracy: SOM’s Hajj Terminal and Geiger Berger Associates’ Form-Finding Software." Journal of the Society of Architectural Historians 80, no. 4 (2021): 416–35. http://dx.doi.org/10.1525/jsah.2021.80.4.416.
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Abstract Through a reconstruction of the murky process involved in the design of the Hajj Terminal at the King Abdulaziz International Airport in Jeddah, Saudi Arabia, by Skidmore, Owings & Merrill, Matthew Allen examines how computational expertise negotiated a new role for itself within the hierarchy of late twentieth-century corporate architecture. In The Genius of Bureaucracy: SOM’s Hajj Terminal and Geiger Berger Associates’ Form-Finding Software he explores how Henry-Russell Hitchcock’s rubric of “the architecture of genius and the architecture of bureaucracy” played out in a situation where the two ideals converged. Unusual among other large corporate firms, SOM not only invested in computation early on but also leveraged computer-generated images to promote its practice. Examination of SOM’s printouts from the Hajj Terminal project reveals the pervasive presence of the lower ranks of the corporate hierarchy—particularly the engineering subconsultants Geiger Berger Associates, who developed unique software for engineering tensile structures. In this contest between decisive SOM designers such as Gordon Bunshaft and Fazlur Khan and engineering paperwork, a new understanding of “the computer” emerged that congealed around the concept of form-finding, or “smart” digital modeling.
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Feng, Yu-Cheng, Sheng-Yun Zeng, and Tyng-Yeu Liang. "Part2Point: A Part-Oriented Point Cloud Reconstruction Framework." Sensors 24, no. 1 (2023): 34. http://dx.doi.org/10.3390/s24010034.
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Three-dimensional object modeling is necessary for developing virtual and augmented reality applications. Traditionally, application engineers must manually use art software to edit object shapes or exploit LIDAR to scan physical objects for constructing 3D models. This is very time-consuming and costly work. Fortunately, GPU recently provided a cost-effective solution for massive data computation. With GPU support, many studies have proposed 3D model generators based on different learning architectures, which can automatically convert 2D object pictures into 3D object models with good performance. However, as the demand for model resolution increases, the required computing time and memory space increase as significantly as the parameters of the learning architecture, which seriously degrades the efficiency of 3D model construction and the feasibility of resolution improvement. To resolve this problem, this paper proposes a part-oriented point cloud reconstruction framework called Part2Point. This framework segments the object’s parts, reconstructs the point cloud for individual object parts, and combines the part point clouds into the complete object point cloud. Therefore, it can reduce the number of learning network parameters at the exact resolution, effectively minimizing the calculation time cost and the required memory space. Moreover, it can improve the resolution of the reconstructed point cloud so that the reconstructed model can present more details of object parts.
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Li, Chaoneng, Guanwen Feng, Yiran Jia, Yunan Li, Jian Ji, and Qiguang Miao. "RETAD." International Journal of Data Warehousing and Mining 19, no. 2 (2023): 1–14. http://dx.doi.org/10.4018/ijdwm.316460.
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Due to the rapid advancement of wireless sensor and location technologies, a large amount of mobile agent trajectory data has become available. Intelligent city systems and video surveillance all benefit from trajectory anomaly detection. The authors propose an unsupervised reconstruction error-based trajectory anomaly detection (RETAD) method for vehicles to address the issues of conventional anomaly detection, which include difficulty extracting features, are susceptible to overfitting, and have a poor anomaly detection effect. RETAD reconstructs the original vehicle trajectories through an autoencoder based on recurrent neural networks. The model obtains moving patterns of normal trajectories by eliminating the gap between the reconstruction results and the initial inputs. Anomalous trajectories are defined as those with a reconstruction error larger than anomaly threshold. Experimental results demonstrate that the effectiveness of RETAD in detecting anomalies is superior to traditional distance-based, density-based, and machine learning classification algorithms on multiple metrics.
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Britzger, Daniel, Sergey Levonian, Stefan Schmitt, and David South. "Preservation through modernisation: The software of the H1 experiment at HERA." EPJ Web of Conferences 251 (2021): 03004. http://dx.doi.org/10.1051/epjconf/202125103004.
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The lepton–proton collisions produced at the HERA collider represent a unique high energy physics data set. A number of years after the end of collisions, the data collected by the H1 experiment, as well as the simulated events and all software needed for reconstruction, simulation and data analysis, were migrated into a preserved operational mode at DESY. A recent modernisation of the H1 software architecture has been performed, which will not only facilitate on going and future data analysis efforts with the new inclusion of modern analysis tools, but also ensure the long-term availability of the H1 data and associated software. The present status of the H1 software stack, the data, simulations and the currently supported computing platforms for data analysis activities are discussed.
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Rodríguez-Santiago, Armando Levid, José Aníbal Arias-Aguilar, Hiroshi Takemura, and Alberto Elías Petrilli-Barceló. "A Deep Learning Architecture for 3D Mapping Urban Landscapes." Applied Sciences 11, no. 23 (2021): 11551. http://dx.doi.org/10.3390/app112311551.
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In this paper, an approach through a Deep Learning architecture for the three-dimensional reconstruction of outdoor environments in challenging terrain conditions is presented. The architecture proposed is configured as an Autoencoder. However, instead of the typical convolutional layers, some differences are proposed. The Encoder stage is set as a residual net with four residual blocks, which have been provided with the necessary knowledge to extract the feature maps from aerial images of outdoor environments. On the other hand, the Decoder stage is set as a Generative Adversarial Network (GAN) and called a GAN-Decoder. The proposed network architecture uses a sequence of the 2D aerial image as input. The Encoder stage works for the extraction of the vector of features that describe the input image, while the GAN-Decoder generates a point cloud based on the information obtained in the previous stage. By supplying a sequence of frames that a percentage of overlap between them, it is possible to determine the spatial location of each generated point. The experiments show that with this proposal it is possible to perform a 3D representation of an area flown over by a drone using the point cloud generated with a deep architecture that has a sequence of aerial 2D images as input. In comparison with other works, our proposed system is capable of performing three-dimensional reconstructions in challenging urban landscapes. Compared with the results obtained using commercial software, our proposal was able to generate reconstructions in less processing time, with less overlapping percentage between 2D images and is invariant to the type of flight path.
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An, Yang, Changsheng Zhang, and Xuanyu Zheng. "Knowledge reconstruction assisted evolutionary algorithm for neural network architecture search." Knowledge-Based Systems 264 (March 2023): 110341. http://dx.doi.org/10.1016/j.knosys.2023.110341.
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Banasiak, Robert, Radosław Wajman, Tomasz Jaworski, Paweł Fiderek, Paweł Kapusta, and Dominik Sankowski. "TWO-PHASE FLOW REGIME THREE-DIMENSONAL VISUALIZATION USING ELECTRICAL CAPACITANCE TOMOGRAPHY – ALGORITHMS AND SOFTWARE." Informatics Control Measurement in Economy and Environment Protection 7, no. 1 (2017): 11–16. http://dx.doi.org/10.5604/01.3001.0010.4575.
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This paper presents the software for comprehensive processing and visualization of 2D and 3D electrical tomography data. The system name as TomoKIS Studio has been developed in the frame of DENIDIA international research project and has been improved in the frame of Polish Ministry of Science and Higher Education Project no 4664/B/T02/2010/38. This software is worldwide unique because it simultaneously integrates the process of tomographic data acquisition, numerical FEM modeling and tomographic images reconstruction. The software can be adapted to specific industrial applications, particularly to monitoring and diagnosis of two-phase flows. The software architecture is composed of independent modules. Their combination offers calibration, configuration and full-duplex communication with any tomographic acquisition system with known and open communication protocol. The other major features are: online data acquisition and processing, online and offline 2D/3D images linear and nonlinear reconstruction and visualization as well as raw data and tomograms processing. Another important ability is 2D/3D ECT sensor construction using FEM modeling. The presented software is supported with the multi-core GPU technology and parallel computing using Nvidia CUDA technology.
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P, Mrs Divya, and Karthika K S. "A Cognitive Framework for Memory Reconstruction in Artificial Systems." International Journal for Research in Applied Science and Engineering Technology 13, no. 4 (2025): 770–75. https://doi.org/10.22214/ijraset.2025.68286.
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Artificial cognitive systems suitable of storing and recalling complex patterns are vital for advancing independent intelligence. These systems bear the integration of episodic and semantic memory structures to reconstruct shattered information without significant interference. This study presents a new frame for artificial memory reconstruction inspired by mortal cognitive processes. The frame includes the storage and recovery of spatio-temporal patterns and the operation of Intelligent Software Agents to emulate mortal- suchlike memory functionality. By using contextual integration and similarity- predicated generality, this architecture achieves adaptive memory reconstruction and robust information operation. The proposed methodology highlights a scalable and effective approach to memory systems in artificial intelligence.
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Boutsikas, Efrosyni. "The Contribution of ‘Total Environment’ Reconstructions in Interpreting Ancient Greek Experience of Ritual Spaces." Open Archaeology 5, no. 1 (2019): 540–52. http://dx.doi.org/10.1515/opar-2019-0033.
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AbstractThe temple of Epikourean Apollo in Bassae has long been suspected to have been constructed with astronomical considerations, aimed at influencing ancient religious experience. The study presented here involves the use of Virtual Reality software to reconstruct the temple in its original position and orientation, combined with an accurate reconstruction of the sun’s position during the Classical period. The aim is to test the hypothesis of deliberate solar considerations associated with the temple’s east entrance. The reconstruction also discusses the application of Virtual Reality Models (VRM) and their potential impact on understanding ancient spatial movement and memory, emotionality and cognition. In addition, it explores the possibility of ancient natural light manipulation in enhancing experience of religious architecture. This paper not only presents the first VRM of Apollo’s temple, but also a model with an accurate reconstruction of the sun’s position at specific moments in the year. The importance of such reconstructions in understanding religious experience is exemplified. A great deal is revealed about the proposed solar effect in relation to human observation, and the connotations of such an effect in specific religious contexts. This study could facilitate discussion on the contribution of digital technology in understanding ancient Greek ritual experience.
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To, T., D. Nguyen, and G. Tran. "Automated 3D architecture reconstruction from photogrammetric structure-and-motion: A case study of the One Pilla pagoda, Hanoi, Vienam." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XL-7/W3 (April 30, 2015): 1425–29. http://dx.doi.org/10.5194/isprsarchives-xl-7-w3-1425-2015.
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Heritage system of Vietnam has decline because of poor-conventional condition. For sustainable development, it is required a firmly control, space planning organization, and reasonable investment. Moreover, in the field of Cultural Heritage, the use of automated photogrammetric systems, based on Structure from Motion techniques (SfM), is widely used. With the potential of high-resolution, low-cost, large field of view, easiness, rapidity and completeness, the derivation of 3D metric information from Structure-and- Motion images is receiving great attention. In addition, heritage objects in form of 3D physical models are recorded not only for documentation issues, but also for historical interpretation, restoration, cultural and educational purposes. The study suggests the archaeological documentation of the “One Pilla” pagoda placed in Hanoi capital, Vietnam. The data acquired through digital camera Cannon EOS 550D, CMOS APS-C sensor 22.3 × 14.9 mm. Camera calibration and orientation were carried out by VisualSFM, CMPMVS (Multi-View Reconstruction) and SURE (Photogrammetric Surface Reconstruction from Imagery) software. The final result represents a scaled 3D model of the One Pilla Pagoda and displayed different views in MeshLab software.