Academic literature on the topic 'Automated restoration design'
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Journal articles on the topic "Automated restoration design"
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Akgungor, G., Y. Olcer, D. Şen, and B. Tunçelli. "Occlusal Surface Reconstruction with Chairside Ceramic Onlay Using CEREC Biogeneric Design Mode: Case Report." Key Engineering Materials 493-494 (October 2011): 594–98. http://dx.doi.org/10.4028/www.scientific.net/kem.493-494.594.
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The occlusal design of dental restorations should stay in harmonic relation to the remaining dentition. In CAD/CAM dentistry, the occlusion is generated by the CAD software based on standard morphologies from the dental database. An automated adaptation process of this standard morphology to an individual clinical situation is difficult and leading to manual adaptation of the proposal with design tools. The new biogeneric software of the chairside CAD/CAD system (CEREC) automatically collects optic measurement of the preparation side including mesial and distal neighbor teeth and antagonist teeth to design a restoration with a patient specific occlusal morphology. This clinical report demonstrated a case, which was treated with ceramic onlay designed and milled with CEREC system used in biogeneric design mode. Digital impression of the preparation was taken with the intraoral camera. Buccal scan,technique was used for taking the occlusal record. Preparation and antagonist images were automatically correlated by software and a virtual articulator was created. After trimming the virtual model, preparation margins were outlined with the automatic margin finder option of the software and then the insertion axis of the restoration was determined. The biogeneric restoration proposal was then automatically seated to the virtual model and desired changes were performed with the design tools of the software. The restoration was milled from feldspathic ceramic block.
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Lamb, Nikolas, Sean Banerjee, and Natasha Kholgade Banerjee. "DeepJoin." ACM Transactions on Graphics 41, no. 6 (2022): 1–10. http://dx.doi.org/10.1145/3550454.3555470.
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We introduce DeepJoin, an automated approach to generate high-resolution repairs for fractured shapes using deep neural networks. Existing approaches to perform automated shape repair operate exclusively on symmetric objects, require a complete proxy shape, or predict restoration shapes using low-resolution voxels which are too coarse for physical repair. We generate a high-resolution restoration shape by inferring a corresponding complete shape and a break surface from an input fractured shape. We present a novel implicit shape representation for fractured shape repair that combines the occupancy function, signed distance function, and normal field. We demonstrate repairs using our approach for synthetically fractured objects from ShapeNet, 3D scans from the Google Scanned Objects dataset, objects in the style of ancient Greek pottery from the QP Cultural Heritage dataset, and real fractured objects. We outperform six baseline approaches in terms of chamfer distance and normal consistency. Unlike existing approaches and restorations generated using subtraction, DeepJoin restorations do not exhibit surface artifacts and join closely to the fractured region of the fractured shape. Our code is available at: https://github.com/Terascale-All-sensing-Research-Studio/DeepJoin.
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Rahito, D. Wahab, and A. Azman. "Additive Manufacturing for Repair and Restoration in Remanufacturing: An Overview from Object Design and Systems Perspectives." Processes 7, no. 11 (2019): 802. http://dx.doi.org/10.3390/pr7110802.
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Repair and restoration is an important step in remanufacturing as it ensures end-of-life products are returned to as-new condition before entering the subsequent life cycle. Currently, such processes are carried out manually by skilled workers. The advent of additive manufacturing (AM) has encouraged researchers to investigate its potential in automated repair and restoration, thus rendering it as a more effective method for remanufacturing. However, the application of this widespread technology for repair and restoration in remanufacturing is still new. This paper provides an overview of the principles and capabilities offered by the existing metal AM technology for object repair and restoration namely, direct energy deposition, powder bed fusion, and cold spray technology. Their applications in the repair and restoration of remanufacturable components are presented and discussed along with issues requiring attention from the perspectives of object design and process systems capabilities. The study provides a compilation of the challenges in AM repair and restoration, which primarily lie in the aspects of geometrical complexity, geometric dimensioning and tolerancing, material compatibility, and pre-processing requirements since it is critical for remanufacturing to restore end-of-life components to as new-condition. The paper concludes with suggestions for further works in AM restoration to enable product life cycle extension in the circular economy.
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Kim, Ji-Beom, Je-Bum Choi, and Eun-Sung Jung. "Design and Implementation of an Automated Disaster-Recovery System for a Kubernetes Cluster Using LSTM." Applied Sciences 14, no. 9 (2024): 3914. http://dx.doi.org/10.3390/app14093914.
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With the increasing importance of data in modern business environments, effective data management and protection strategies are gaining increasing research attention. Data protection in a cloud environment is crucial for safeguarding information assets and maintaining sustainable services. This study introduces a system structure that integrates Kubernetes management platforms with backup and restoration tools. This system is designed to immediately detect disasters and automatically recover applications from another Kubernetes cluster. The experimental results show that this system executes the restoration process within 15 s without human intervention, enabling rapid recovery. This, in turn, significantly reduces the potential for delays and errors compared to manual recovery processes, thereby enhancing data management and recovery efficiency in cloud environments. Moreover, our research model predicts the CPU utilization of the cluster using Long Short-Term Memory (LSTM). The necessity of scheduling through this predict is made clearer through comparison with experiments without scheduling, demonstrating its ability to prevent performance degradation. This research highlights the efficiency and necessity of automatic recovery systems in cloud environments, setting a new direction for future research.
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Schwalm, Robert C., and Linda C. Carlson. "On the Loss and Restoration of End User Acceptance." Proceedings of the Human Factors Society Annual Meeting 33, no. 13 (1989): 797–801. http://dx.doi.org/10.1177/154193128903301306.
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This paper identifies, through a case study, some of the specific factors contributing to the erosion of user acceptance during the redesign of an automated system and the specific steps taken to restore user acceptance. Among the factors contributing to a shift in user attitude are resistance to a new computer environment, a temporary emphasis during design on computer (vs user) issues, less frequent user reviews, and concerns about job security. Steps taken to restore user acceptance include increased contact with end users, familiarizing users with the computer environment, and clarification of system and user roles.
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de Ruijter, W. J., P. Rez, and David J. Smith. "Recent developments in automated Transmission Electron MI." Proceedings, annual meeting, Electron Microscopy Society of America 47 (August 6, 1989): 46–47. http://dx.doi.org/10.1017/s0424820100152203.
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There is growing interest in the on-line use of computers in high-resolution electron n which should reduce the demands on highly skilled operators and thereby extend the r of the technique. An on-line computer could obviously perform routine procedures hand, or else facilitate automation of various restoration, reconstruction and enhan These techniques are slow and cumbersome at present because of the need for cai micrographs and off-line processing. In low resolution microscopy (most biologic; primary incentive for automation and computer image analysis is to create a instrument, with standard programmed procedures. In HREM (materials researc computer image analysis should lead to better utilization of the microscope. Instru (improved lens design and higher accelerating voltages) have improved the interpretab the level of atomic dimensions (approximately 1.6 Å) and instrumental resolutior should become feasible in the near future.
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Apollonio, F. I., M. Ballabeni, S. Bertacchi, F. Fallavollita, R. Foschi, and M. Gaiani. "FROM DOCUMENTATION IMAGES TO RESTAURATION SUPPORT TOOLS: A PATH FOLLOWING THE NEPTUNE FOUNTAIN IN BOLOGNA DESIGN PROCESS." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-5/W1 (May 15, 2017): 329–36. http://dx.doi.org/10.5194/isprs-archives-xlii-5-w1-329-2017.
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The sixteenth-century Fountain of Neptune is one of Bologna’s most renowned landmarks. During the recent restoration activities of the monumental sculpture group, consisting in precious marbles and highly refined bronzes with water jets, a photographic campaign has been carried out exclusively for documentation purposes of the current state of preservation of the complex. Nevertheless, the highquality imagery was used for a different use, namely to create a 3D digital model accurate in shape and color by means of automated photogrammetric techniques and a robust customized pipeline. This 3D model was used as basic tool to support many and different activities of the restoration site. The paper describes the 3D model construction technique used and the most important applications in which it was used as support tool for restoration: (i) reliable documentation of the actual state; (ii) surface cleaning analysis; (iii) new water system and jets; (iv) new lighting design simulation; (v) support for preliminary analysis and projectual studies related to hardly accessible areas; (vi) structural analysis; (vii) base for filling gaps or missing elements through 3D printing; (viii) high-quality visualization and rendering and (ix) support for data modelling and semantic-based diagrams.
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Petukhov, A. V. "FORMALIZATION OF THE PROBLEM OF SELECTION OF AUTOMATED SYSTEM." «System analysis and applied information science», no. 1 (June 12, 2018): 16–20. http://dx.doi.org/10.21122/2309-4923-2018-1-16-20.
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The results of many years of research in the field of formalizing the task of selecting automated systems for various areas of design and office activities are given. The purpose of the study is the development of methods for qualitative and quantitative evaluation when choosing an automated system, taking into accounts the operating conditions and customer requirements. Qualitative assessment is based on the theory of choice and decision making, which examines the mathematical models of this type of activity. In view of the fact that in the problem under consideration, many alternatives, which are automated systems, are known, it can be related to the choice problem. The peculiarity of this approach is that it does not require a complete restoration of the principle of optimality, but allows us to confine ourselves to information sufficient to identify the optimal variant. The quantitative assessment is based on the determination of the projected annual economic effect from the introduction of an automated system. The described technique can be used by enterprises and organizations in the evaluation of automated systems at the stage preceding the tender for their purchase.
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Virchenko, Gennadii, Vitalii Ploskyi, and Mykola Tereschuk. "ON THE ISSUE OF DESIGN AND RESTORATION OF CULTURAL ARCHITECTURAL OBJECTS." APPLIED GEOMETRY AND ENGINEERING GRAPHICS, no. 108 (July 3, 2025): 43–52. https://doi.org/10.32347/0131-579x.2025.108.43-52.
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The current historical period is quite difficult for our state, which is associated with the war, which brings grief and suffering, destroys and annihilates the infrastructure of cities and villages. Various religious buildings are no exception, in particular, Orthodox and Catholic temples, mosques, synagogues, etc. In this difficult time, more and more people are turning to the Almighty Powers for support, seeking to restore holy places, to build new religious architectural objects, such as chapels in cemeteries and hospitals, in military units and educational institutions, etc. In many cases, domes are an integral part of religious buildings and have great symbolic significance for believers, as they represent the sky where the deities reside. When constructing sacred architectural objects, there are, on the one hand, certain canonical religious requirements, and on the other, there is usually a need to ensure the proper individuality of these buildings. The above facts determine the diversity of shapes, sizes, numbers and designs of domes of Orthodox Christian temples, the most common religious architectural objects in Ukraine. In previous publications of the authors, automated variant design of domes using structural-parametric shaping methods was considered in order to improve the quality of these building structures and reduce the costs of their design, manufacture, and operation. The aspects of the effective application of computer geometric modeling to solve the problem of preserving and restoring of the architectural heritage of Ukraine are analyzed. This concerns the maximum coverage by one structural-parametric model of possible varieties of shapes and sizes of domes of Orthodox temples to define the optimal option according to specific circumstances. The necessary mathematical apparatus for calculating the geometric properties of designed domes (lengths of the generating and directing lines, the surface areas, the volumes bounded by them, etc.) is presented. The use of the presented approach in the environment of current progressive computer BIM (Building Information Modeling) technologies, taking into account existing religious architectural traditions, is proposed. This publication develops the presented topic by studying such an aesthetic element of dome design as the variant parquetry of their external surfaces. Prospects for further relevant scientific research are outlined.
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Baboshin, Vladimir A., Konstantin N. Savinov, Andrei K. Chernykh, and Mikhail G. Iashin. "SOME ISSUES OF ORGANIZATION OF RESTORATION OF RAILWAY INFRASTRUCTURE FACILITIES." Автоматизация Процессов Управления 62, no. 4 (2020): 23–32. http://dx.doi.org/10.35752/1991-2927-2020-4-62-23-32.
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The Railway Troops of the Armed Forces of the Russian Federation are intended for technical cover, restoration, demining and barrage of sections (objects) of the RF railroad transport infrastructure in the RF Armed Forces responsibility zone, increasing its survivability and carrying capacity, as well as planning the guidance and operation of floating railway bridges. The railway infrastructure is understood as "a technological complex, which includes subsystems of railway infrastructure, components of subsystems and elements of components of subsystems of railway infrastructure, ensuring the functioning of this complex" [1]. The tasks of the troops include the operation of existing and construction of new sections of railways, bypassing railway (railway) junctions, the construction of temporary railway bridges in order to ensure the actions of troops [2]. When restoring infrastructure facilities for railroad transport, the organization of work management and the promptness of restoring interrupted train traffic play a decisive role, which largely depends on the preparation and decision-making that requires certain engineering calculations. In particular, the development of design documentation for the construction of a bypass of a destroyed section of a road or a railway junction requires a significant amount of time. The most time-consuming document of design documentation is the calculation and construction of a longitudinal bypass profile. The article discusses the issues of automated construction of a longitudinal bypass profile, which can significantly reduce the time required for preparing design documentation, including for laying cable lines to restore the regulation of train traffic.
Dissertations / Theses on the topic "Automated restoration design"
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Wang, Lu. "Design of an Automated Book Reader as an Assistive Technology for Blind Persons." FIU Digital Commons, 2007. http://digitalcommons.fiu.edu/etd/222.
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This dissertation introduces a novel automated book reader as an assistive technology tool for persons with blindness. The literature shows extensive work in the area of optical character recognition, but the current methodologies available for the automated reading of books or bound volumes remain inadequate and are severely constrained during document scanning or image acquisition processes. The goal of the book reader design is to automate and simplify the task of reading a book while providing a user-friendly environment with a realistic but affordable system design. This design responds to the main concerns of (a) providing a method of image acquisition that maintains the integrity of the source (b) overcoming optical character recognition errors created by inherent imaging issues such as curvature effects and barrel distortion, and (c) determining a suitable method for accurate recognition of characters that yields an interface with the ability to read from any open book with a high reading accuracy nearing 98%. This research endeavor focuses in its initial aim on the development of an assistive technology tool to help persons with blindness in the reading of books and other bound volumes. But its secondary and broader aim is to also find in this design the perfect platform for the digitization process of bound documentation in line with the mission of the Open Content Alliance (OCA), a nonprofit Alliance at making reading materials available in digital form. The theoretical perspective of this research relates to the mathematical developments that are made in order to resolve both the inherent distortions due to the properties of the camera lens and the anticipated distortions of the changing page curvature as one leafs through the book. This is evidenced by the significant increase of the recognition rate of characters and a high accuracy read-out through text to speech processing. This reasonably priced interface with its high performance results and its compatibility to any computer or laptop through universal serial bus connectors extends greatly the prospects for universal accessibility to documentation.
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Amura, Annamaria. "Design of a semi-automatic methodology supporting the graphic documentation for the restoration of artifacts." Doctoral thesis, Urbino, 2021. http://hdl.handle.net/11576/2683497.
Full textBook chapters on the topic "Automated restoration design"
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Sossa, Humberto, Beatriz A. Garro, Juan Villegas, Carlos Avilés, and Gustavo Olague. "Automatic Design of Artificial Neural Networks and Associative Memories for Pattern Classification and Pattern Restoration." In Lecture Notes in Computer Science. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-31149-9_3.
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Catalano, Chiara, Salvatore Pasta, and Riccardo Guarino. "A Plant Sociological Procedure for the Ecological Design and Enhancement of Urban Green Infrastructure." In Future City. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-75929-2_3.
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AbstractUrban green infrastructure could represent an important mean for environmental mitigation, if designed according to the principles of restoration ecology. Moreover, if suitably executed, managed and sized, they may be assimilated to meta-populations of natural habitats, deserving to be included in the biodiversity monitoring networks. In this chapter, we combined automatised and expert opinion-based procedures in order to select the vascular plant assemblages to populate different microhabitats (differing in terms of light and moisture) co-occurring on an existing green roof in Zurich (Switzerland). Our results lead to identify three main plant species groups, which prove to be the most suitable for the target roof. These guilds belong to mesoxeric perennial grasslands (Festuco-Brometea), nitrophilous ephemeral communities (Stellarietea mediae) and drought-tolerant pioneer species linked to nutrient-poor soils (Koelerio-Corynephoretea). Some ruderal and stress-tolerant species referred to the class Artemisietea vulgaris appear to fit well with local roof characteristics, too. Inspired by plant sociology, this method also considers conservation issues, analysing whether the plants selected through our procedure were characteristic of habitats of conservation interest according to Swiss and European laws and directives. Selecting plant species with different life cycles and life traits may lead to higher plant species richness, which in turn may improve the functional complexity and the ecosystem services provided by green roofs and green infrastructure in general.
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Rot, Peter, Peter Peer, and Vitomir Štruc. "Detecting Soft-Biometric Privacy Enhancement." In Handbook of Digital Face Manipulation and Detection. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-87664-7_18.
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AbstractWith the proliferation of facial analytics and automatic recognition technology that can automatically extract a broad range of attributes from facial images, so-called soft-biometric privacy-enhancing techniques have seen increased interest from the computer vision community recently. Such techniques aim to suppress information on certain soft-biometric attributes (e.g., age, gender, ethnicity) in facial images and make unsolicited processing of the facial data infeasible. However, because the level of privacy protection ensured by these methods depends to a significant extent on the fact that privacy-enhanced images are processed in the same way as non-tampered images (and not treated differently), it is critical to understand whether privacy-enhancing manipulations can be detected automatically. To explore this issue, we design a novel approach for the detection of privacy-enhanced images in this chapter and study its performance with facial images processed by three recent privacy models. The proposed detection approach is based on a dedicated attribute recovery procedure that first tries to restore suppressed soft-biometric information and based on the result of the restoration procedure then infers whether a given probe image is privacy enhanced or not. It exploits the fact that a selected attribute classifier generates different attribute predictions when applied to the privacy-enhanced and attribute-recovered facial images. This prediction mismatch (PREM) is, therefore, used as a measure of privacy enhancement. In extensive experiments with three popular face datasets we show that the proposed PREM model is able to accurately detect privacy enhancement in facial images despite the fact that the technique requires no supervision, i.e., no examples of privacy-enhanced images are needed for training.
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Srivastava, Subodh, Neeraj Sharma, and S. K. Singh. "Image Analysis and Understanding Techniques for Breast Cancer Detection from Digital Mammograms." In Research Developments in Computer Vision and Image Processing. IGI Global, 2014. http://dx.doi.org/10.4018/978-1-4666-4558-5.ch008.
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In this chapter, an overview of recent developments in image analysis and understanding techniques for automated detection of breast cancer from digital mammograms is presented. The various steps in the design of an automated system (i.e. Computer Aided Detection [CADe] and Computer Aided Diagnostics (CADx)] include preparation of image database for classification, image pre-processing, mammogram image enhancement and restoration, segmentation of Region Of Interest (ROI) for cancer detection, feature extraction of selected ROIs, feature evaluation and selection, and classification of selected mammogram images in to benign, malignant, and normal. In this chapter, a detailed overview of the various methods developed in recent years for each stage required in the design of an automated system for breast cancer detection is discussed. Further, the design, implementation and performance analysis of a CAD tool is also presented. The various types of features extracted for classification purpose in the proposed tool include histogram features, texture features, geometric features, wavelet features, and Gabor features. The proposed CAD tool uses fuzzy c-means segmentation algorithm, the feature selection algorithm based on the concepts of genetic algorithm which uses mutual information as a fitness function, and linear support vector machine as a classifier.
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Usenko, Valery, Anton Hasenko, and Dmytro Usenko. "RESOURCE-SAVING TECHNOLOGIES AND STRUCTURAL OPTIMIZATION OF CIVIL DEFENSE PROTECTIVE STRUCTURES." In Innovations in science: current research and advanced technologies. Publishing House “Baltija Publishing”, 2025. https://doi.org/10.30525/978-9934-26-531-0-3.
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This study thoroughly examines modern approaches to the restoration and optimization of civil defense protective structures, which have become increasingly relevant amid growing threats, limited resources, and the need for rapid responses to critical situations. The reliability of such structures is determined not only by their strength but also by their ability to withstand combined loads, including seismic, dynamic, and vibrational impacts, as well as by the durability of the materials used in construction and reconstruction. In this context, modern construction trends necessitate the expansion of methodological tools and the adoption of innovative technologies, such as 3D printing, eco-friendly materials, and probabilistic risk assessment models, to enhance the efficiency of designing and operating protective structures. The subject of the study involves analyzing methods for restoring damaged buildings, evaluating their operational suitability, including under man-made loads, such as those experienced during military actions, and developing approaches for predicting service life under such conditions while optimizing reconstruction costs. Traditional methods for enhancing structural load-bearing capacity, such as applying additional layers of reinforced concrete, remain important but may be limited in efficiency due to modern demands for construction speed and structural adaptability. Meanwhile, the adoption of additive technologies, enabling the rapid construction of complex structures, opens new perspectives for the design and construction of protective facilities. The research methodology is based on an integrated approach that includes classical experimental testing methods, numerical modeling of stress-strain states, and probabilistic risk models. The use of probabilistic limit state design models allows for the consideration of uncertainties in material properties and loads, while the implementation of automated monitoring systems enhances safety and enables rapid responses to potential damage. The incorporation of eco-friendly materials plays a crucial role, not only improving structural durability but also ensuring economic and environmental efficiency. The objective of the study is to develop scientifically grounded methods for evaluating structural conditions, predicting service life, and optimizing the construction and reconstruction of civil defense protective structures. The utilization of advanced technologies, such as 3D printing and composite materials, can significantly enhance construction efficiency while reducing overall restoration costs. An essential aspect of the study involves considering economic feasibility and resource conservation, which enables more efficient use of available construction materials and minimizes waste. The study concludes that the integration of modern technologies significantly improves the quality and efficiency of restoring damaged structures, particularly through the use of resource management optimization models and structural durability prediction methods. The analysis demonstrated that the application of additive technologies, eco-friendly materials, and probabilistic risk assessment methods results in significant time and resource savings, which are critically important for civil defense facilities. Thus, this study contributes to the advancement of modern construction and civil defense engineering by offering comprehensive methods for assessing and predicting the technical condition of structures. Practical recommendations regarding material selection, the application of modern design methods, and risk management strategies significantly enhance the safety and durability of strategically important infrastructure. Future research in this field could focus on refining structural condition assessment algorithms, developing adaptive risk management models, and integrating artificial intelligence for monitoring and automated design of protective structures.
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Veltink Peter H., Koopman Bart F.J.M., Hermens Hermie J., et al. "Restoration of Gait in Paraplegics by Functional Electrical Stimulation and Orthoses (Hybrid Systems)." In Studies in Health Technology and Informatics. IOS Press, 1993. https://doi.org/10.3233/978-1-60750-853-3-60.
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Gait restoration in paraplegics by means of electrical stimulation of paralysed muscles (FES) in combination with orthoses (hybrid systems) is being investigated at the Centre for Rehabilitation Technology (University of Twente and the Roessingh Rehabilitation Centre). The research is well embedded in concerted European efforts in this field. Research activities include electrical stimulation of paralysed muscles, orthosis design, automatic control systems, gait analysis, biomechanical modelling, and clinical application.
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Oikonomou, Kostas N., Rakesh K. Sinha, and Robert D. Doverspike. "Multi-Layer Network Performance and Reliability Analysis." In Networking and Telecommunications. IGI Global, 2010. http://dx.doi.org/10.4018/978-1-60566-986-1.ch014.
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The authors describe a methodology for evaluating the performability (combined performance and reliability) of large communications networks. Networks are represented by a 4-level hierarchical model, consisting of traffic matrix, network graph, “components” representing failure modes, and reliability information. Network states are assignments of modes to the network components, which usually represent network elements and their key modules, although they can be more abstract. The components can be binary or multi-modal, and each of their failure modes may change a set of attributes of the graph (e.g. the capacity or cost of a link). Their methodology also captures the effect of automatic restoration against network failures by including two common rerouting methods. To compute network performability measures, including upper and lower bounds on their cumulative distribution functions, we augment existing probabilistic state-space generation algorithms with our new “hybrid” algorithm. To characterize the network failures of highest impact, we compute the Pareto boundaries of the network’s risk space. The authors have developed a network analysis tool called nperf that embodies this methodology. To illustrate the methodology and the practicality of the tool, they describe a performability analysis of three design alternatives for a large commercial IP backbone network.
Conference papers on the topic "Automated restoration design"
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Ko, Ho Fai, and Nicola Nicolici. "Automated Trace Signals Identification and State Restoration for Improving Observability in Post-Silicon Validation." In 2008 Design, Automation and Test in Europe. IEEE, 2008. http://dx.doi.org/10.1109/date.2008.4484858.
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Darovskih, Vladimir Dmitrievich. "New Generation of Multi Connected Systems of Flexible Automation and the Ways of Strategic Control of Them." In ASME 8th Biennial Conference on Engineering Systems Design and Analysis. ASMEDC, 2006. http://dx.doi.org/10.1115/esda2006-95064.
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Principles are opened and solved problems of technology, designing and control at transformation of discrete processes of the automated machine-building manufacture to continuous streams on its output with an opportunity of achievement by actual productivity of a level technological therefore technological mechanisms of new generation in which by means of multi connected structure technological machines and robots, control systems and information monitoring, the control and designing, diagnostics and restoration of working capacity are flexibly incorporated are created and solved problems of strategy of control through system likelihood opportunities.
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"Automatic Detection and Classification of Dental Restorations in Panoramic Radiographs." In InSITE 2019: Informing Science + IT Education Conferences: Jerusalem. Informing Science Institute, 2019. http://dx.doi.org/10.28945/4307.
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[This Proceedings paper was revised and published in the 2019 issue of the journal Issues in Informing Science and Information Technology, Volume 16] Aim/Purpose: The aim of this study was to develop a prototype of an information-generating computer tool designed to automatically map the dental restorations in a panoramic radiograph. Background: A panoramic radiograph is an external dental radiograph of the oro-maxillofacial region, obtained with minimal discomfort and significantly lower radiation dose compared to full mouth intra-oral radiographs or cone-beam computed tomography (CBCT) imaging. Currently, however, a radiologic informative report is not regularly designed for a panoramic radiograph, and the referring doctor needs to interpret the panoramic radiograph manually, according to his own judgment. Methodology: An algorithm, based on techniques of computer vision and machine learning, was developed to automatically detect and classify dental restorations in a panoramic radiograph, such as fillings, crowns, root canal treatments and implants. An experienced dentist evaluated 63 panoramic anonymized images and marked on them, manually, 316 various restorations. The images were automatically cropped to obtain a region of interest (ROI) containing only the upper and lower alveolar ridges. The algorithm automatically segmented the restorations using a local adaptive threshold. In order to improve detection of the dental restorations, morphological operations such as opening, closing and hole-filling were employed. Since each restoration is characterized by a unique shape and unique gray level distribution, 20 numerical features describing the contour and the texture were extracted in order to classify the restorations. Twenty-two different machine learning models were evaluated, using a cross-validation approach, to automatically classify the dental restorations into 9 categories. Contribution: The computer tool will provide automatic detection and classification of dental restorations, as an initial step toward automatic detection of oral pathologies in a panoramic radiograph. The use of this algorithm will aid in generating a radiologic report which includes all the information required to improve patient management and treatment outcome. Findings: The automatic cropping of the ROI in the panoramic radiographs, in order to include only the alveolar ridges, was successful in 97% of the cases. The developed algorithm for detection and classification of the dental restorations correctly detected 95% of the restorations. ‘Weighted k-NN’ was the machine-learning model that yielded the best classification rate of the dental restorations - 92%. Impact on Society: Information that will be extracted automatically from the panoramic image will provide a reliable, reproducible radiographic report, currently unavailable, which will assist the clinician as well as improve patients’ reliance on the diagnosis. Future Research: The algorithm for automatic detection and classification of dental restorations in panoramic imaging must be trained on a larger dataset to improve the results. This algorithm will then be used as a preliminary stage for automatically detecting incidental oral pathologies exhibited in the panoramic images.
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"AUTOMATIC SOUND RESTORATION SYSTEM - Concepts and Design." In International Conference on Signal Processing and Multimedia Applications. SciTePress - Science and and Technology Publications, 2011. http://dx.doi.org/10.5220/0003527702070211.
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Tomić, Ivana, Nataša Bajšanski, Jelena Vladušić, and Ivana Jurič. "RESTORATION OF OLD PHOTOGRAPHS USING AI APPLICATIONS." In INTERNATIONAL SYMPOSIUM ON GRAPHIC ENGINEERING AND DESIGN. UNIVERSITY OF NOVI SAD FACULTY OF TECHNICAL SCIENCES DEPARTMENT OF GRAPHIC ENGINEERING AND DESIGN 21000 Novi Sad, Trg Dositeja Obradovića 6, 2024. http://dx.doi.org/10.24867/grid-2024-p39.
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Restoration of old photographs is a demanding task that requires a lot of skill and attention to detail. It can involve many different steps in photo editing and, until recently, was almost always done by photo editing professionals. Thanks to numerous photo editing AI applications, nowadays even the inexperienced users can perform this task. However, the results may not always be satisfactory. In this work, we evaluated the effectiveness of different free web-based AI applications in restoring old photographs that exhibited the most frequently seen damage. Tested AI solutions enabled significantly faster photo editing compared to manual techniques, while still providing visually pleasing results. On the other hand, they showed tendency to smooth out graininess, important details, and textures in images. When automatic processing failed to correct certain details, the results heavily depended on the user's skill to recognize and mark the errors for post-processing. Therefore, we believe that AI tools for photo restoration are a great choice for fast image processing, but their outcomes should be manually adjusted to ensure the authenticity and naturalness of old photographs.
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Lin, Chun-Li, Chih-Han Chang, Chau-Hsiang Wang, and Huey-Er Lee. "Finite Element Analysis of MOD Cavity Depth in a Restored Tooth." In ASME 1999 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 1999. http://dx.doi.org/10.1115/imece1999-0470.
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Abstract Numerous studies have confirmed a correlation between the restored tooth fracture and the cavity design parameters. Improper geometric design of cavity could increase the unfavorable stresses of remaining tooth structure and cause fracture. However, the quantitative guideline for cavity preparation is unclear. This study developed an automatic mesh generation tool and employed finite element method to examine the stress distribution with different cavity depth designs in class II MOD restoration. The results indicated that for deeper cavity designs the unfavorable stress gradient was evident, therefore, the existence of a pulpal wall is essential.
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Kissel, Harald Peter, Hosam Shahin, Alexander Stankowski, Guenter Ambrosy, and Hans Bissig. "Alstom’s Reconditioning Technologies for Film Cooled Single Crystal (SX) Turbine Blading." In ASME Turbo Expo 2012: Turbine Technical Conference and Exposition. American Society of Mechanical Engineers, 2012. http://dx.doi.org/10.1115/gt2012-68092.
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Increased availability, reliability and performance combined with reduced maintenance costs are key factors for the success of gas turbine users. Alstom reconditioning answers to this market demand by providing advanced and competitive repair techniques and an increasing broad reconditioning portfolio to its customers. This paper focuses on the reconditioning of film cooled SX components used in the GT24 and GT26 fleet and the latest enabling technologies. The general reconditioning strategy is based on a thorough analysis of the accumulated field experience with SX parts and a controlled, step-wise introduction of new techniques. Taking advantage of the broad interdisciplinary OEM product and design know-how, as well as Alstom’s rich engineering experience in advanced reconditioning, state of the art reconditioning processes have been developed for different damage scenarios for components. This would include the most technically challenging SX “heavy” scope reconditioning. This paper gives an overview about the reconditioning sequence for SX components and some of its key process steps. As an example, the crack braze repair process is described in detail and several novel SX welding techniques for crack repairs, blade tip and temperature controlled leading edge wall thickness restoration are shown. This covers different processes such as TIG welding or laser metal forming (LMF) of SX components. During the last few years, highly automated production solutions and innovative production tools have been implemented, which enable high capacity and consistently high quality of reconditioning. After their successful validation and a limited phase of monitored production, these techniques are applied on rotating and stationary SX turbine parts. Validation criteria and the experience gained during the first years of commercial production and operation in the field will be presented.
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Li, Jianning, Antonio Pepe, Christina Gsaxner, and Jan Egger. "An online platform for automatic skull defect restoration and cranial implant design." In Image-Guided Procedures, Robotic Interventions, and Modeling, edited by Cristian A. Linte and Jeffrey H. Siewerdsen. SPIE, 2021. http://dx.doi.org/10.1117/12.2580719.
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Bulgakov, Volodymyr, Oleksandra Trokhaniak, Aivars Aboltins, et al. "Investigation of contact stresses in engagement elements of screw conveyor safety clutch." In 23rd International Scientific Conference Engineering for Rural Development. Latvia University of Life Sciences and Technologies, Faculty of Engineering and Information Technologies, 2024. http://dx.doi.org/10.22616/erdev.2024.23.tf136.
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In the article there is presented the design of a safety clutch for a screw conveyor with time-separated modes of slipping and axial displacement of the screw for automatic restoration of the operating condition in the event of overload. A calculation has been made using contact stresses in the engagement elements of the safety device, the level of which is the determining indicator that affects the wear rate of the contact surfaces. Using the SolidWorks Premium software diagrams of the distribution of contact stresses during operation of the safety clutch were constructed, by the results of which it was established that the analytical dependencies, presented in the article, can be used in the engineering design of various standard sizes of this protective mechanism.
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Shimoda, Ikuo, Kazuaki Shiki, and Go Tanaka. "Development of Damper for Vibration Control of Detached Houses." In ASME 2002 Pressure Vessels and Piping Conference. ASMEDC, 2002. http://dx.doi.org/10.1115/pvp2002-1443.
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By using a damper at the relation story for detached houses, the damping effects for compression side decrease. The reason is that the compressive force is dissipated by deformation, for example, by bending in case of using a brace. So that, the damper was developed that exercise efforts in the tensile direction only, with automatic stroke return. By using this damper, the design for the brace become easier because the action of the tensile force is the only consideration. The damper uses Binghum Material with the unique physical property. It allows the energy dissipation and the self restoration to operate as one without a complex mechanism. The real scaled damper was designed applicable to detached houses. It has rated reaction force of 20kN and maximum stroke of 50mm. And the loading test was performed two patterns. One was only the damper in the static and the dynamic condition, another was steel frame with the damper. The results showed that this damper has made possible easier design for the brace, construction and the highly effective for the vibration control of detached houses.
Reports on the topic "Automated restoration design"
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Pruitt, Bruce, and Richard Rheinhardt. A regional guidebook for applying the hydrogeomorphic approach to assessing wetland functions of forested riverine wetlands in alluvial valleys of the Piedmont Region of the United States. Engineer Research and Development Center (U.S.), 2023. http://dx.doi.org/10.21079/11681/47685.
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The Hydrogeomorphic (HGM) approach is used for developing and applying models for the site-specific assessment of wetland functions. It was initially designed for use in the context of the Clean Water Act Section 404 Regulatory Program permit review process to analyze project alternatives, minimize impacts, assess unavoidable impacts, determine mitigation requirements, and monitor the success of compensatory mitigation. However, a variety of other potential uses have been identified, including the design of wetland restoration projects, projecting ecological outcomes, developing success criteria and performance standards, and adaptive monitoring and management of wetlands. This guidebook provides an overview of the HGM approach including classification and characterization of the principal alluvial riverine wetlands identified in the Piedmont physiography. Eight potential subclasses of Piedmont wetlands, including Headwater, Low- and Mid-gradient Riverine, Floodplain Depression, Footslope Seeps, Flats, Precipitation Depressions, and Fringe wetlands were recognized. However, the occurrence of Flats, Precipitation Depressions, and Fringe wetlands in the Piedmont, are uncommon and not generally associated with alluvial riverine systems which is the subject of this Guidebook. Detailed HGM assessment models and protocols are presented for the five most common Piedmont riverine subclasses: Headwater, Low- and Mid-gradient Riverine, Floodplain Depression, and Footslope Seep. For each wetland subclass, the guidebook presents (a) the rationale used to select the wetland functions considered in the assessment process, (b) the rationale used to select assessment models, and (c) the functional index calibration curves developed from reference wetlands used in the assessment models. The guidebook outlines an assessment protocol for using the model variables and functional indices to assess each wetland subclass. The appendices provide field data collection forms. In addition, an automated spreadsheet model is provided to make calculations.