Bibliografias temáticas / Smart Reconstruction

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Literatura científica selecionada sobre o tema "Smart Reconstruction"

Autor: Grafiati

Publicado: 23 de novembro de 2024

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Artigos de revistas sobre o assunto "Smart Reconstruction"

Boudaghi, Farnaz, Danial Waleed e Luis A. Duffaut Espinosa. "Data Reconstruction Using Smart Sensor Placement". Sensors 24, n.º 18 (17 de setembro de 2024): 6008. http://dx.doi.org/10.3390/s24186008.

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This paper deals with spatio-temporal field estimation with efficient sensor placement based on the QR decomposition. The proposed method also identifies the optimal number of sensors needed for field estimation that captures the most relevant features of the field of interest. To address the uncertainties inherent in spatio-temporal field estimation, a robust data-driven control method is utilized, providing resilience against unpredictable environmental and model changes. In particular, the approach uses the Kriged Kalman Filter (KKF) for uncertainty-aware field reconstruction. Unlike other reconstruction methods, the positional uncertainty originating from the data acquisition platform is integrated into the KKF estimator. Numerical results are presented to show the efficacy of the proposed dynamic sensor placement strategy together with the KKF field estimator.

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Cai, Zhenglong, Junxing Yang, Tianjiao Wang, He Huang e Yue Guo. "3D Reconstruction of Buildings Based on 3D Gaussian Splatting". International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLVIII-4/W10-2024 (31 de maio de 2024): 37–43. http://dx.doi.org/10.5194/isprs-archives-xlviii-4-w10-2024-37-2024.

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Abstract. In the current era of urban construction, smart city management, and digital twinning, three-dimensional reconstruction of urban buildings is particularly important. Traditional methods have limitations in reconstructing complex geometric scenes, while new methods such as Nerf focus on using implicit MLP to represent the geometric space of the model, but suffer from slow training and rendering speeds. To address this issue, this paper proposes the use of 3D Gaussian scatter points for three-dimensional reconstruction of urban buildings, improving training speed and reconstruction quality through optimized and accelerated rendering algorithms. This method demonstrates high efficiency and editability, providing a new solution for urban building reconstruction.

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Zhang, Hesheng, Xiaojin Zhu, Zhiyuan Gao, Kaining Liu e Zhaowen Li. "Dynamic Error Analysis Method for Vibration Shape Reconstruction of Smart FBG Plate Structure". Shock and Vibration 2016 (2016): 1–13. http://dx.doi.org/10.1155/2016/5958073.

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Shape reconstruction of aerospace plate structure is an important issue for safe operation of aerospace vehicles. One way to achieve such reconstruction is by constructing smart fiber Bragg grating (FBG) plate structure with discrete distributed FBG sensor arrays using reconstruction algorithms in which error analysis of reconstruction algorithm is a key link. Considering that traditional error analysis methods can only deal with static data, a new dynamic data error analysis method are proposed based on LMS algorithm for shape reconstruction of smart FBG plate structure. Firstly, smart FBG structure and orthogonal curved network based reconstruction method is introduced. Then, a dynamic error analysis model is proposed for dynamic reconstruction error analysis. Thirdly, the parameter identification is done for the proposed dynamic error analysis model based on least mean square (LMS) algorithm. Finally, an experimental verification platform is constructed and experimental dynamic reconstruction analysis is done. Experimental results show that the dynamic characteristics of the reconstruction performance for plate structure can be obtained accurately based on the proposed dynamic error analysis method. The proposed method can also be used for other data acquisition systems and data processing systems as a general error analysis method.

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Chen, Yung-Yao, Chih-Hsien Hsia, Sin-Ye Jhong e Chin-Feng Lai. "Attention-Guided HDR Reconstruction for Enhancing Smart City Applications". Electronics 12, n.º 22 (12 de novembro de 2023): 4625. http://dx.doi.org/10.3390/electronics12224625.

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In the context of smart city development, video surveillance serves as a critical component for maintaining public safety and operational efficiency. However, traditional surveillance systems are often constrained by a limited dynamic range, leading to the loss of essential image details. To address this limitation, this paper introduces HDRFormer, an innovative framework designed to enhance high dynamic range (HDR) image quality in edge–cloud-based video surveillance systems. Leveraging advanced deep learning algorithms and Internet of Things (IoT) technology, HDRFormer employs a unique architecture comprising a feature extraction module (FEM) and a weighted attention module (WAM). The FEM leverages a transformer-based hierarchical structure to adeptly capture multi-scale image information. In addition, the guided filters are utilized to steer the network, thereby enhancing the structural integrity of the images. On the other hand, the WAM focuses on reconstructing saturated areas, improving the perceptual quality of the images, and rendering the reconstructed HDR images with naturalness and color saturation. Extensive experiments on multiple HDR image reconstruction datasets demonstrate HDRFormer’s substantial improvements, achieving up to a 2.7 dB increase in the peak signal-to-noise ratio (PSNR) and an enhancement of 0.09 in the structural similarity (SSIM) compared to existing methods. In addition, the framework exhibits outstanding performance in multi-scale structural similarity (MS-SSIM) and HDR visual difference predictor (HDR-VDP2.2). The proposed method not only outperforms the existing HDR reconstruction techniques but also offers better generalization capabilities, laying a robust foundation for future applications in smart cities.

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Popova, Solomiya, e Ivan Izonin. "Application of the Smart House System for Reconstruction of Residential Buildings from an Obsolete Housing Stock". Smart Cities 6, n.º 1 (26 de dezembro de 2022): 57–71. http://dx.doi.org/10.3390/smartcities6010004.

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The smart home is amongst the most promising areas of development of communication and information technologies. In order to assure safety, comfort, and resource conservation for all users, a smart home should be viewed as a high-tech system that combines the benefits of automation technologies and contemporary construction methods. Installation of the system is possible during the construction of new buildings as well as during the reconstruction of existing buildings. In this study, the smart home system’s overall idea is considered, the necessity of using resource-saving systems and technologies is supported, and the integration of such systems with the reconstruction of low-rise residential buildings is examined. The study generated a representation of the smart home system for a particular reconstruction project as well as an application for controlling the system using a mobile device.

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Yu, Cheng Yuan, e Yi Ying Yin. "RRSH: An Architecture for Rapid Reconstruction of Service Composition in Smart Home". Applied Mechanics and Materials 719-720 (janeiro de 2015): 661–64. http://dx.doi.org/10.4028/www.scientific.net/amm.719-720.661.

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The environment of a smart home is highly dynamic, where resources, such as devices, services and applications, can be introduced or removed at a moment’s notice. Thus the probability of failures, such as device, network, and service failures, is improved. It is challenging to improve the availability and reliability of services compositions in smart home. In this paper, we propose an architecture for rapid reconstruction of services compositions in smart home. It can rapidly achieve failure capturing and recovery. We build ASM (Abstract State Machines) ground model [1] to analyze the correctness of the process of the reconstruction of services compositions in smart home.

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Assem, Ayman, Sherif Abdelmohsen e Mohamed Ezzeldin. "Smart management of the reconstruction process of post-conflict cities". Archnet-IJAR: International Journal of Architectural Research 14, n.º 2 (5 de outubro de 2019): 325–43. http://dx.doi.org/10.1108/arch-04-2019-0099.

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Purpose Cities lying within conflict zones have continually faced hardships of both war aftermath and long-term sustainable reconstruction. Challenges have surpassed the typical question of recovery from post-conflict trauma, preserving urban heritage and iconic elements of the built environment, to face issues of critical decision making, rebuilding effectiveness and funding mechanisms, leading to time-consuming processes that lack adequate consistent long-term management. Some approaches have explored methods of effective long-term city reconstruction management but have not fully developed comprehensive approaches that alleviate the management of such complex processes. The paper aims to discuss these issues. Design/methodology/approach The authors devise an approach for the smart management of post-conflict city reconstruction. The authors focus on evaluation, strategic planning, reconstruction projects and implementation. The authors integrate building information modeling and geographic/geospatial information systems in a platform that allows for real-time analysis, reporting, strategic planning and decision making for managing reconstruction operations and projects among involved stakeholders including government agencies, funding organizations, city managers and public participants. Findings The approach suggested a smart management system for the reconstruction process of post-conflict cities. Implementing this system was shown to provide a multi-objective solution for post-conflict city reconstruction based on its interlinked modules. Research limitations/implications Results may lack generalizability and require testing on several cases to provide rigorous findings for different case studies. Practical implications Implications include developing smart management systems for use by city managers and government authorities in post-conflict zones, as well as bottom-up decision making by including participant citizens especially populations in the diaspora. Originality/value The approach offers an integrated platform that informs city reconstruction decision makers, allowing for strategic planning tools for efficient planning, monitoring tools for continuous management during and after reconstruction, and effective platforms for communication among all stakeholders.

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Chen, Wei, Jiafeng He, Gaoyan Cai e Dehan Luo. "Smart meter data transmission based on compressed sensing". Journal of Physics: Conference Series 2477, n.º 1 (1 de abril de 2023): 012109. http://dx.doi.org/10.1088/1742-6596/2477/1/012109.

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Abstract To achieve high-precision load recognition for residential electricity consumption and to solve the transmission problem of collecting large amounts of current data from household appliances by smart meters, a data transmission method based on compressed sensing is proposed to reduce data transmission costs. Firstly, a dictionary learning algorithm is used to sparsely represent the current data of household appliances, and the over-complete dictionary matrix is used as the sparse matrix; then a random Gaussian matrix is used as the measurement matrix for data transmission, and finally, regular orthogonal matching pursuit algorithm is used to complete the data reconstruction. The experimental results show that the reconstruction effect of this method is better than the traditional reconstruction method under the same compression ratio.

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Capone, M., D. Palomba, S. Scandurra e E. Lanzara. "TRAPEZOIDAL AND APSIDAL RIBBED VAULTS SMART 3D RECONSTRUCTION". International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLVI-2/W1-2022 (25 de fevereiro de 2022): 135–42. http://dx.doi.org/10.5194/isprs-archives-xlvi-2-w1-2022-135-2022.

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Abstract. The automatic generation of structured 3D model from point clouds is a primary focus for a lot of researches in the area of 3D modelling and HBIM. The use of procedural modelling techniques, based on set of geometric rules, is spreading the construction of parametric objects and processes for survey data mapping. In this research field one of the most common methodological approach consists in testing different procedures based on use of specific data from point cloud. One of the main problem to solve is to define the best parameters to use in relation to geometric features of different architectural element and what are the data to extract from point cloud. Starting from shape grammar approach, the main goal of our research is to define 3D parametric models for ribbed vaults suitable to generate 3D smart model for different uses. Most researches in this area deal the case of rectangular or square plan vaults, we addressed the case of trapezoidal vaults and different rules used for apsidal vaults tracing. Our aim is to define an adaptive parametric model that we can use to generate a 3D ideal model or a mixed reality based model. In order to evaluate our tool we compared two 3D models with point clouds: the first is based on geometric rules from sources, the second is based on some specific data from point cloud. Testing the tool on two gothic churches in Naples, the church of S. Lorenzo and the church of S.Maria di Donnaregina, we are going to improve it.

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Cholil, Saifur Rohman, Agusta Praba Ristadi Pinem e Vensy Vydia. "Implementasi metode Simple Multi Attribute Rating Technique untuk penentuan prioritas rehabilitasi dan rekonstruksi pascabencana alam". Register: Jurnal Ilmiah Teknologi Sistem Informasi 4, n.º 1 (24 de novembro de 2018): 1. http://dx.doi.org/10.26594/register.v4i1.1133.

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Penanganan bencana alam di Indonesia menjadi hal yang sangat penting untuk segera dilakukan dalam menentukan prioritas rehabilitasi dan rekonstruksi wilayah pascabencana alam. Penentuan prioritas rehabilitasi dan rekonstruksi pascabencana alam dilakukan dengan pendekatan metodologi Sistem Pendukung Keputusan (SPK) untuk membantu menyelesaikan permasalahan dalam proses pengambilan keputusan. Metode Simple Multi Attribute Rating Technique (SMART) akan diterapkan untuk menentukan prioritas wilayah pada rencana aksi rehabilitasi dan rekonstruksi pascabencana alam karena kesederhanaannya pada proses perhitungan dalam pemilihan alternatif yang telah dirumuskan. Tujuan penelitian ini adalah menghasilkan SPK dengan mengimplementasikan metode SMART untuk menentukan prioritas rehabilitasi dan rekonstruksi wilayah pascabencana, sehingga proses penanggulangan bencana akan tepat sasaran dan sesuai dengan peraturan penanggulangan bencana alam. Proses validasi pada penelitian ini adalah dengan membandingkan hasil metode dengan data fakta atau data kejadian (data histori). Koefisien Korelasi Rank Spearman yang diperoleh yaitu 0,95. Hal ini menunjukan bahwa, metode SMART bisa digunakan untuk menentukan prioritas rehabilitasi dan rekonstruksi pascabencana alam.The handling of natural disasters in Indonesia becomes a very important thing to be done in determining the priority of rehabilitation and reconstruction of post-disaster natural areas. The prioritization of post-disaster natural rehabilitation and reconstruction is done by methodology of Decision Support System (DSS) to help solve problems in decision making process. The Simple Multi Attribute Rating Technique (SMART) method will be applied to determine the priority of the region in the post-disaster natural rehabilitation and reconstruction action plan because of its simplicity in the calculation process in the alternative selection that has been formulated. The purpose of this research is to produce SPK by implementing SMART method to determine priority of rehabilitation and reconstruction of post disaster area, so that disaster management process will be appropriate target and in accordance with natural disaster management regulation. The validation process in this research is by comparing the method result with fact data or event data (historical data). Spearman Rank Correlation Coefficient obtained is 0.95. This indicates that the SMART method can be used to determine priorities for post-disaster rehabilitation and reconstruction.

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Mais fontes

Teses / dissertações sobre o assunto "Smart Reconstruction"

El, Hage Josiana. "Smart Reconstruction after a natural or man-made disaster : Feedback, methodology, and application to the Beirut Harbor Disaster". Electronic Thesis or Diss., Université de Lille (2022-....), 2024. http://www.theses.fr/2024ULILN015.

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L'objectif de cette étude est de développer un cadre intelligent pour la reconstruction post-catastrophe des bâtiments, en se concentrant sur l'explosion de Beyrouth comme étude de cas, en raison de son contexte géopolitique complexe, de l'étendue de ses dommages et des crises socio-économiques qui ont frappé le pays pendant ces dernières années. L'étude explore diverses dimensions comprenant l'état structurel, l'économique et le social pour prioriser les groupes communautaires marginalisés dans les projets de reconstruction et plaider en faveur de l'approche "Build-Back-Better", selon les recommandations de « Sendai Framework For Disaster Risk Reduction ».Pour atteindre ces objectifs, la thèse commence par l'état de l'art du sujet (Chapitre 1) pour identifier les lacunes de recherche et les cadres de reconstruction post-catastrophe existants. S'appuyant sur cette revue, une méthodologie de recherche est formulée pour combler ces lacunes en mettant l'accent sur la ville de Beyrouth au Liban (Chapitre 2). Elle comprend l'étude du contexte local, les méthodes d'analyse des données et une compréhension des défis de la reconstruction post-catastrophe, plus particulièrement à Beyrouth. Un cadre complet pour évaluer les bâtiments post-catastrophe à Beyrouth suite à l'explosion est développé (Chapitre 3), comprenant 12 indicateurs couvrant les attributs physiques du bâtiment et le profil socio-économique de ses habitants. Ce cadre facilite le calcul d'un indice de priorité pour un grand ensemble de bâtiments endommagés à Beyrouth (Chapitre 4). L'évaluation aide les décideurs et les parties prenantes impliquées dans le processus de reconstruction à gérer et à surveiller les projets de rénovation des bâtiments tout en encourageant l'engagement de la communauté affectée. Elle donne la priorité aux individus les plus vulnérables, favorisant ainsi une approche centrée sur les personnes pour le rétablissement, soutenue par les principes de "Build-Back-Better" et d'inclusivité.Le cadre basé sur les données et les résultats présentés dans cette thèse constituent une avancée dans le domaine de la reconstruction post-catastrophe. Cependant, cette recherche montre certaines limitations, notamment la collecte de données via la méthode de crowdsourcing et le manque de participation des personnes, la dynamique et la complexité du contexte post-catastrophe, ainsi que la concentration uniquement sur le secteur du bâtiment. Les futures recherches pourraient se concentrer sur (i) la prise en compte de tous les secteurs affectés par la catastrophe, (ii) l'étude de l'acceptation sociale pour participer au processus de collecte de données, (iii) et la diversification des sources de collecte de données
The objective of this study is to develop a smart framework for post-disaster reconstruction of buildings, with a focus on the Beirut explosion as a case study, due to its complex geopolitical context, extensive damage, and socio-economic crises. The study delves into various dimensions encompassing physical, economic, and social to prioritize marginalized community groups in the recovery efforts and advocate for the “Build-Back-Better approach”, according to the recommendations of « Sendai Framework For Disaster Risk Reduction ».To attain these objectives, the thesis starts with a literature review (Chapter 1) to identify research gaps and existing post-disaster reconstruction frameworks. Drawing from this review, a research methodology is formulated to address these gaps with emphasis on Beirut city in Lebanon (Chapter 2). It includes the local context study, the data analysis methods, and an understanding of the challenges facing the post-disaster reconstruction with a focus on Beirut. A comprehensive framework for assessing post-disaster buildings in Beirut following the explosion is developed (Chapter 3), comprising 12 indicators spanning physical attributes of the building and socio-economic profile of its residents. This framework facilitates the calculation of a Priority Index for a large set of damaged buildings in Beirut (Chapter 4). The assessment assists decision-makers and stakeholders involved in the reconstruction process manage and monitor building renovation projects while encouraging the affected community engagement. It prioritizes the most vulnerable individuals, thereby fostering a people-centric approach to recovery, underpinned by the principles of building-back-better and inclusivity.The data-based framework and results presented in this thesis form a step forward in the post-disaster reconstruction field. However, this research shows some limitations including the data collection via crowdsourcing and the lack of people participation, the dynamics and the complexity of the post-disaster context, and the focus on the building sector only. Future research could focus on (i) considering all the sectors affected by the disaster, (ii) investigating the social acceptance for participating in the data collection process, (iii) and diversifying the data collection sources

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Levine, Ross M. "Ultrasonic guided wave imaging via sparse reconstruction". Diss., Georgia Institute of Technology, 2014. http://hdl.handle.net/1853/51829.

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Structural health monitoring (SHM) is concerned with the continuous, long-term assessment of structural integrity. One commonly investigated SHM technique uses guided ultrasonic waves, which travel through the structure and interact with damage. Measured signals are then analyzed in software for detection, estimation, and characterization of damage. One common configuration for such a system uses a spatially-distributed array of fixed piezoelectric transducers, which is inexpensive and can cover large areas. Typically, one or more sets of prerecorded baseline signals are measured when the structure is in a known state, with imaging methods operating on differences between follow-up measurements and these baselines. Presented here is a new class of SHM spatially-distributed array algorithms that rely on sparse reconstruction. For this problem, damage over a region of interest (ROI) is considered to be sparse. Two different techniques are demonstrated here. The first, which relies on sparse reconstruction, uses an a priori assumption of scattering behavior to generate a redundant dictionary where each column corresponds to a pixel in the ROI. The second method extends this concept by using multidimensional models for each pixel, with each pixel corresponding to a "block" in the dictionary matrix; this method does not require advance knowledge of scattering behavior. Analysis and experimental results presented demonstrate the validity of the sparsity assumption. Experiments show that images generated with sparse methods are superior to those created with delay-and-sum methods; the techniques here are shown to be tolerant of propagation model mismatch. The block-sparse method described here also allows the extraction of scattering patterns, which can be used for damage characterization.

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Malý, Michal. "Aplikace systému inteligentního řízení rodinného domu". Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2015. http://www.nusl.cz/ntk/nusl-221069.

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The thesis is focused on the preparation of documentation for reconstruction of the electrical distribution installation in a family house. There are described problems of the original installation and the consequences associated with it. It explains how to design a new installation, on what to watch and what to follow. The next chapter is compared with conventional wiring and intelligent comparison and selection of a more nejvhod-solving. Furthermore, a thorough documentation of the pin assignment, and wiring circuits. The last chapter is presented draft of web interface for control.

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Miksik, Ondrej. "Living in a dynamic world : semantic segmentation of large scale 3D environments". Thesis, University of Oxford, 2017. http://ora.ox.ac.uk/objects/uuid:28050b9e-5e42-46b5-9a54-004450f812ec.

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As we navigate the world, for example when driving a car from our home to the work place, we continuously perceive the 3D structure of our surroundings and intuitively recognise the objects we see. Such capabilities help us in our everyday lives and enable free and accurate movement even in completely unfamiliar places. We largely take these abilities for granted, but for robots, the task of understanding large outdoor scenes remains extremely challenging. In this thesis, I develop novel algorithms for (near) real-time dense 3D reconstruction and semantic segmentation of large-scale outdoor scenes from passive cameras. Motivated by "smart glasses" for partially sighted users, I show how such modeling can be integrated into an interactive augmented reality system which puts the user in the loop and allows her to physically interact with the world to learn personalized semantically segmented dense 3D models. In the next part, I show how sparse but very accurate 3D measurements can be incorporated directly into the dense depth estimation process and propose a probabilistic model for incremental dense scene reconstruction. To relax the assumption of a stereo camera, I address dense 3D reconstruction in its monocular form and show how the local model can be improved by joint optimization over depth and pose. The world around us is not stationary. However, reconstructing dynamically moving and potentially non-rigidly deforming texture-less objects typically require "contour correspondences" for shape-from-silhouettes. Hence, I propose a video segmentation model which encodes a single object instance as a closed curve, maintains correspondences across time and provide very accurate segmentation close to object boundaries. Finally, instead of evaluating the performance in an isolated setup (IoU scores) which does not measure the impact on decision-making, I show how semantic 3D reconstruction can be incorporated into standard Deep Q-learning to improve decision-making of agents navigating complex 3D environments.

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Kwasnicki, Richard Mark. "Body sensor networks : smart monitoring solutions after reconstructive surgery". Thesis, Imperial College London, 2014. http://hdl.handle.net/10044/1/26899.

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Advances in reconstructive surgery are providing treatment options in the face of major trauma and cancer. Body Sensor Networks (BSN) have the potential to offer smart solutions to a range of clinical challenges. The aim of this thesis was to review the current state of the art devices, then develop and apply bespoke technologies developed by the Hamlyn Centre BSN engineering team supported by the EPSRC ESPRIT programme to deliver post-operative monitoring options for patients undergoing reconstructive surgery. A wireless optical sensor was developed to provide a continuous monitoring solution for free tissue transplants (free flaps). By recording backscattered light from 2 different source wavelengths, we were able to estimate the oxygenation of the superficial microvasculature. In a custom-made upper limb pressure cuff model, forearm deoxygenation measured by our sensor and gold standard equipment showed strong correlations, with incremental reductions in response to increased cuff inflation durations. Such a device might allow early detection of flap failure, optimising the likelihood of flap salvage. An ear-worn activity recognition sensor was utilised to provide a platform capable of facilitating objective assessment of functional mobility. This work evolved from an initial feasibility study in a knee replacement cohort, to a larger clinical trial designed to establish a novel mobility score in patients recovering from open tibial fractures (OTF). The Hamlyn Mobility Score (HMS) assesses mobility over 3 activities of daily living: walking, stair climbing, and standing from a chair. Sensor-derived parameters including variation in both temporal and force aspects of gait were validated to measure differences in performance in line with fracture severity, which also matched questionnaire-based assessments. Monitoring the OTF cohort over 12 months with the HMS allowed functional recovery to be profiled in great detail. Further, a novel finding of continued improvements in walking quality after a plateau in walking quantity was demonstrated objectively. The methods described in this thesis provide an opportunity to revamp the recovery paradigm through continuous, objective patient monitoring along with self-directed, personalised rehabilitation strategies, which has the potential to improve both the quality and cost-effectiveness of reconstructive surgery services.

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Marchetto, Mattia <1997&gt. "Reconstructing the theory behind Smart Specialisation Strategies in Europe". Master's Degree Thesis, Università Ca' Foscari Venezia, 2022. http://hdl.handle.net/10579/21254.

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The objective of the thesis is to provide general overview of the reasoning behind S3 Strategies in Europe – in particular the RIS3 (Research and Innovation Strategies for Smart Specialisation). In recent years, following the financial crisis that has shaken the European and world economies, the need has re-emerged to devise a new industrial policy model capable of generating a sustainable development path that resolves the macroeconomic, environmental and industrial imbalances that plague the European economy. Up to the Lisbon Strategy, political inability on the part of European and national institutions has failed to draw up an effective vision and strategy capable of waking up the continent from its stagnation. This is the context in which the Smart Specialisation concept came up, taking the form of a regional strategy capable of bringing out local entrepreneurial expertise and connecting it to the stakeholder complex (regional authorities, knowledge insitutions, civil society). The thesis will try to analyse the main concepts and contributions behind the concept of Smart Specialisation and its application through RIS3 regional strategies; a deeper level of scrutiny is given to the Italian and Veneto contexts to portray actual examples of such dynamics at work.

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Veta, Jacob E. "Analysis and Development of a Lower Extremity Osteological Monitoring Tool Based on Vibration Data". Miami University / OhioLINK, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=miami1595879294258019.

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Baghyari, Roza, e Carolina Nykvist. "Händelsekonstruktion genom säkrande och analys av data från ett hemautomationssystem". Thesis, Linköpings universitet, Datorteknik, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-157619.

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I detta examensarbete har tidsstämplar extraherats ur ett forensiskt perspektiv från ett hemautomationssystem med styrenheten Homey från Athom. Först konstruerades ett fiktivt händelsescenario gällande ett inbrott i en lägenhet med ett hemautomationssystem. Hemautomationssystemet bestod av flera perifera enheter som använde olika trådlösa nätverksprotokoll. Enheterna triggades under händelsescenariot. Därefter testades olika metoder för att få ut data i form av tidsstämplar. De metoder som testades var rest-API, UART och chip-off på flashminnet medan JTAG inte hanns med på grund av tidsbrist. Den metod som gav bäst resultat var rest-API:t som möjliggjorde extrahering av alla tidsstämplar samt information om alla enheter. I flashminnet hittades alla tidsstämplar, men det var inte möjligt att koppla ihop dessa tidsstämplar med en specifik enhet utan att använda information från rest-API:t. Trots att rest-API:t gav bäst resultat så var det den metod som krävde en mängd förutsättningar i form av bland annat inloggningsuppgifter eller en rootad mobil. Med hjälp av de extraherade tidsstämplarna rekonstruerades sedan händelsescenariot för inbrottet.
The purpose of this bachelor thesis was to extract timestamps from a home automation system with a control unit named Homey in a forensic perspective. The first step was to create a course of event regarding a burglar breaking into an apartment with home automation. The home automation system consisted of some peripheral units using different types of wireless network protocols. All these units were triggered during the break in. Thereafter different types of methods were tested in an attempt to extract the timestamps for each unit. These methods included rest-API, UART and chip-off on a flash memory. The method using JTAG were not tested due to lack of time. Rest-API was the method that provided most information about the units and time stamps. The flash memory also contained every timestamp, however it did not provide any information about which timestamp belonged to which unit. Even though the rest-API was the best method to extract data, it was also the method with most requirements such as credentials or a rooted smartphone. With the extracted timestamps it was possible to reconstruct the course of events of the break-in.

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LIN, CHIG-CHUNG, e 林志忠. "Adopting Welfare Smart Building to the Reconstruction of Unsafe and Old Building-Based on CORPS Model". Thesis, 2019. http://ndltd.ncl.edu.tw/handle/n93w4g.

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碩士
世新大學
企業管理研究所(含碩專班)
107
Urban regeneration aims at extensive integration of economic and material conditions as well as social and environmental conditions in specific area for continuous improvement. There are different theoretical bases for urban regeneration. Different names and conceptual changes for the conception, policy and name of urban regeneration in all eras could be urban rebuilding, urban recovery, urban renaissance and sustainable city, etc. Although Statute for Renewal of Urban Planning exists in Taiwan, renewal rate is so inefficiency; meanwhile, most of old buildings in Taiwan lack anti-catastrophic and anti-seismic capacity. It can be seen that huge potential demand and urgency for urban regeneration holds great significance for people’s living safety, living quality, urban competitiveness and industry economic development. Start to pay attention to the improvement of current unsafe and old buildings. Statute for Expediting Reconstruction of Urban Unsafe and Old Buildings passed on May, 2017 may even bring new opportunity for unsafe and old buildings. The problem is that the approval of cases is still too little so far. The proportion of elderly population in Taiwan in 1993, more than 7%, entered the aging society, and in March 2018 amounted to 14.05%, entered the aging society. Expected in 2026, Taiwan's elderly population will exceed 20%, into the super-aging society. In recent years, the popularity of the Internet of Things devices are rapidly growing. In the future, if we can combine 5G with Reconstruction Mechanism of Unsafe and Old Buildings of Welfare Smart Building, construction senior friendly community in long-term care, and at the same time get the expected profit is important. This paper is implemented through the operation of practical organizations, integrating the reconstruction of the elderly and creating a community of senior citizens. The core value of the old-age reconstruction team based on the public welfare, and then the new thinking of CORPS.

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DI, FINA DARIO. "Multi-Target Tracking and Facial Attribute Estimation in Smart Environments". Doctoral thesis, 2016. http://hdl.handle.net/2158/1029030.

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This dissertation presents a study on three different computer vision topics that have applications to smart environments. We first propose a solution to improve multi-target data association based on l1-regularized sparse basis expansions. The method aims to improve the data association process by addressing problems like occlusion and change of appearance. Experimental results show that, for the pure data association problem, our proposed approach achieves state-of-the-art results on standard benchmark datasets. Next, we extend our new data association approach with a novel technique based on a weighted version of sparse reconstruction that enforces long-term consistency in multi-target tracking. We introduce a two-phase approach that first performs local data association, and then periodically uses accumulated usage statistics in order to merge tracklets and enforce long-term, global consistency in tracks. The result is a complete, end-to-end tracking system that is able to reduce tracklet fragmentation and ID switches, and to improve the overall quality of tracking. Finally, we propose a method to jointly estimate face characteristics such as Gender, Age, Ethnicity and head pose. We develop a random forest based method based around a new splitting criterion for multi-objective estimation. Our system achieves results comparable to the state-of-the-art, and has the additional advantage of simultaneously estimating multiple facial characteristics using a single pool of image features rather than characteristic-specific ones.

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Livros sobre o assunto "Smart Reconstruction"

Gherlone, Marco. Dynamic shape reconstruction of three-dimensional frame structures using the inverse finite element method. Hampton, Va: National Aeronautics and Space Administration, Langley Research Center, 2011.

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Committee on Foreign Relations (senate), United States Senate e United States United States Congress. Haiti Reconstruction: Smart Planning Moving Forward. Independently Published, 2019.

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Ruiz, Fernando Pages. Building An Affordable House: A Smart Guide to High-Value, Low-Cost Construction. Taunton, 2005.

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Salama, Ashraf M., Hisham Abusaada e Abeer Elshater. Reconstructing Urban Ambiance in Smart Public Places. IGI Global, 2020.

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Salama, Ashraf M., Hisham Abusaada e Abeer Elshater. Reconstructing Urban Ambiance in Smart Public Places. IGI Global, 2020.

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Salama, Ashraf M., Hisham Abusaada e Abeer Elshater. Reconstructing Urban Ambiance in Smart Public Places. IGI Global, 2020.

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Salama, Ashraf M., Hisham Abusaada e Abeer Elshater. Reconstructing Urban Ambiance in Smart Public Places. IGI Global, 2020.

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Salama, Ashraf M., Hisham Abusaada e Abeer Elshater. Reconstructing Urban Ambiance in Smart Public Places. IGI Global, 2020.

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Haiti reconstruction: Smart planning moving forward : hearing before the Subcommittee on International Development and Foreign Assistance, Economic Affairs, and International Environmental Protection of the Committee on Foreign Relations, United States Senate, One Hundred Eleventh Congress, second session, February 4, 2010. Washington: U.S. G.P.O., 2010.

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Matsumi, Hideyuki, Dara Hallinan, Diana Dimitrova, Eleni Kosta e Paul De Hert, eds. Data Protection and Privacy, Volume 16. Hart Publishing, 2024. http://dx.doi.org/10.5040/9781509975976.

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This book explores the complexity and depths of our digital world by providing a selection of analyses and discussions from the 16th annual international conference on Computers, Privacy and Data Protection (CPDP): Ideas that Drive Our Digital World. The first half of the book focuses on issues related to the GDPR and data. These chapters provide a critical analysis of the 5-year history of the complex GDPR enforcement system, covering: codes of conduct as a potential co-regulation instrument for the market; an interdisciplinary approach to privacy assessment on synthetic data; the ethical implications of secondary use of publicly available personal data; and automating technologies and GDPR compliance. The second half of the book shifts focus to novel issues and ideas that drive our digital world. The chapters offer analyses on social and environmental sustainability of smart cities; reconstructing states as information platforms; stakeholder identification using the example of video-based Active and Assisted Living (AAL); and a human-centred approach to dark patterns. This interdisciplinary book takes readers on an intellectual journey into a wide range of issues and cutting-edge ideas to tackle our ever-evolving digital landscape.

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Capítulos de livros sobre o assunto "Smart Reconstruction"

Chen, Yueh-Tung, Cheng-Hsien Han, Hao-Wei Jeng e Hao-Chuan Wang. "Crowdsourcing 3D Motion Reconstruction". In Smart Graphics, 170–73. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-11650-1_16.

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Naya, Ferran, Julián Conesa, Manuel Contero, Pedro Company e Joaquim Jorge. "Smart Sketch System for 3D Reconstruction Based Modeling". In Smart Graphics, 58–68. Berlin, Heidelberg: Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/3-540-37620-8_6.

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Abe, Y., S. Yamada e T. Kyoya. "Reconstruction of isotropic Cam-clay model based on finite deformation theory". In Smart Geotechnics for Smart Societies, 324–28. London: CRC Press, 2023. http://dx.doi.org/10.1201/9781003299127-30.

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Annuth, Hendrik, e Christian-A. Bohn. "Surface Reconstruction with Smart Growing Cells". In Intelligent Computer Graphics 2010, 47–66. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-15690-8_3.

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Saturi, Rajesh, Anusha Alavala, Bhargavi Baddam, Keerthana Chatlaparthy e P. Hanumanth Rao. "Segmentation of Brain Tumor Images Using Morphological Reconstruction". In IOT with Smart Systems, 121–29. Singapore: Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-99-3761-5_12.

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Lu, Long, e Wang Zhao. "Research on Three-Dimensional Reconstruction of Brain Image Features Based on Augmented Reality Technology". In Smart Health, 39–47. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-34482-5_4.

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Hasenko, Lina, Tetyana Lytvynenko, Viktoriia Ivasenko e Mohamed Elgandour. "Urban Street and Road Network Reconstruction Problems". In Smart Technologies in Urban Engineering, 854–64. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-20141-7_76.

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Zeng, Feng. "Slicing and Virtual Reconstruction Method in SolidWorks Environment". In Smart Innovation, Systems and Technologies, 19–27. Singapore: Springer Nature Singapore, 2024. http://dx.doi.org/10.1007/978-981-97-3210-4_2.

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Ronzoni, M. R., M. S. Brioschi e F. L. Bianchi. "Innovation through tradition: “Cerreto Smart Land” project". In Reconstruction and Restoration of Architectural Heritage 2021, 284–89. London: CRC Press, 2021. http://dx.doi.org/10.1201/9781003136804-55.

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Sandilya, Mrinmoy, e S. R. Nirmala. "Compressed Sensing MRI Reconstruction Using Convolutional Dictionary Learning and Laplacian Prior". In IOT with Smart Systems, 661–69. Singapore: Springer Singapore, 2022. http://dx.doi.org/10.1007/978-981-16-3945-6_65.

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Trabalhos de conferências sobre o assunto "Smart Reconstruction"

Nicolas, Troesch, Vena Arnaud, Séverin Pistre e Combette Philippe. "Autonomous Probe for Underwater Karstic Topology Reconstruction". In 2024 9th International Conference on Smart and Sustainable Technologies (SpliTech), 1–4. IEEE, 2024. http://dx.doi.org/10.23919/splitech61897.2024.10612451.

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Knopf, George K. "Adaptive reconstruction of closed Bezier surfaces". In Intelligent Systems and Smart Manufacturing, editado por Peter E. Orban e George K. Knopf. SPIE, 2001. http://dx.doi.org/10.1117/12.417239.

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Hildebrand, Axel, e Ullrich Koethe. "SMART: system for segmentation matching and reconstruction". In Optical Engineering and Photonics in Aerospace Sensing, editado por Bill P. Clark, Andy Douglas, Bryan L. Foley, Brian Huberty e LeLand D. Whitmill. SPIE, 1993. http://dx.doi.org/10.1117/12.157133.

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Duncan, Stephen R., e Peter E. Wellstead. "Processing data from scanning gauges: 2D reconstruction". In Intelligent Systems and Smart Manufacturing, editado por Hugh McCann e David M. Scott. SPIE, 2001. http://dx.doi.org/10.1117/12.417180.

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Lee, Dah-Jye, Robert M. Lane e Guang-Hwa Chang. "Three-dimensional reconstruction for high-speed volume measurement". In Intelligent Systems and Smart Manufacturing, editado por Kevin G. Harding, John W. V. Miller e Bruce G. Batchelor. SPIE, 2001. http://dx.doi.org/10.1117/12.417201.

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Wu, Qingyu, Jianfei Shen, Yang Gu, Feiyi Fan e Yiqiang Chen. "Motion-Robust Respiratory Signal Reconstruction Using Smart Glasses". In 2022 IEEE Smartworld, Ubiquitous Intelligence & Computing, Scalable Computing & Communications, Digital Twin, Privacy Computing, Metaverse, Autonomous & Trusted Vehicles (SmartWorld/UIC/ScalCom/DigitalTwin/PriComp/Meta). IEEE, 2022. http://dx.doi.org/10.1109/smartworld-uic-atc-scalcom-digitaltwin-pricomp-metaverse56740.2022.00108.

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Chen, Liang, Xiaowen Wei, Shengbei Chen e Yucong Duan. "Reconstruction of Smart Meteorological Service Based on DIKW". In 2021 IEEE 23rd Int Conf on High Performance Computing & Communications; 7th Int Conf on Data Science & Systems; 19th Int Conf on Smart City; 7th Int Conf on Dependability in Sensor, Cloud & Big Data Systems & Application (HPCC/DSS/SmartCity/DependSys). IEEE, 2021. http://dx.doi.org/10.1109/hpcc-dss-smartcity-dependsys53884.2021.00324.

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Anantrasirichai, N., C. Nishan Canagarajah, David W. Redmill e Akbar Sheikh Akbari. "Volumetric Reconstruction with Compressed Data". In 2007 First ACM/IEEE International Conference on Distributed Smart Cameras. IEEE, 2007. http://dx.doi.org/10.1109/icdsc.2007.4357541.

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Sekertekin, Aliihsan, Serkal Kartan, Qi Liu e Stefania Bonafoni. "A Modified Deep Learning Approach for Reconstruction of MODIS LST Product". In GIS Ostrava 2022 Earth Observation for Smart City and Smart Region. VŠB - TU Ostrava, 2022. http://dx.doi.org/10.31490/9788024846026-6.

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Chen, I.-An, Shih-Chun Wu, Kai-Lun Chang e Chang-Hong Lin. "Real-time scene structure reconstruction". In 2014 International Conference on Intelligent Green Building and Smart Grid (IGBSG). IEEE, 2014. http://dx.doi.org/10.1109/igbsg.2014.6835157.

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