Letteratura scientifica selezionata sul tema "Custom-Made architecture"
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Articoli di riviste sul tema "Custom-Made architecture":
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Mvelase, Promise, Nomusa Dlodlo, Quentin Williams e Matthew O. Adigun. "Custom-Made Cloud Enterprise Architecture for Small Medium and Micro Enterprises". International Journal of Cloud Applications and Computing 1, n. 3 (luglio 2011): 52–63. http://dx.doi.org/10.4018/ijcac.2011070105.
Abstract (sommario):
Small, Medium, and Micro enterprises (SMMEs) usually do not have adequate funds to acquire ICT infrastructure and often use cloud computing. In this paper, the authors discuss the implementation of virtual enterprises (VE) to enable SMMEs to respond quickly to customers’ demands and market opportunities. The virtual enterprise model is based on the ability to create temporary co-operations and realize the value of a short term business opportunity that the partners cannot fully capture on their own. The model of virtual enterprise is made possible through virtualisation technology, which is a building block of cloud computing. To achieve a common goal, enterprises integrate resources, organisational models, and process models. Through the virtual business operating environment offered by cloud computing, the SMMEs are able to increase productivity and gain competitive advantage due to the cost benefit incurred. In this paper, the authors propose a virtual enterprise enabled cloud enterprise architecture based on the concept of virtual enterprise at both business and technology levels. The business level comprises of organisational models, process models, skills, and competences whereas the technology level comprises of IT resources.
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Oliveira, Douglas Voss de, José Thiers Carneiro Junior, Eber Coelho Paraguassu e Luis Raimundo Serra Rabelo. "Ankylosed joint replacement with custom total joint prosthesis and custom miniplates." Research, Society and Development 9, n. 6 (9 aprile 2020): e15963095. http://dx.doi.org/10.33448/rsd-v9i6.3095.
Abstract (sommario):
When managing a severely ankylosed joint in a patient with a history of multiple previous operations since the development phase, it is necessary besides the total joint replacement also the orthognathic surgery. Miniplates and total joint custom-made prosthesis are the state of arts in accuracy and precision; therefore use them concurrently in a complex surgery, such this, is a suitable treatment option. A 44-year-old male patient with bilateral temporomandibular joint ankylosis where the TMJ architecture was completely replaced by a large bone mass was treated through orthognathic surgery with customized cutting guides and customized material for maxilla, jaw and chin fixation, in addition to the installation of two complete custom-made joint-prosthesis in one-stage surgery. This is the first report in the literature using custom Miniplates and Joint-Prosthesis for treatment of Ankylosis. The treatment was successful and the patient benefited from adequate aesthetics and function.
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Sonar, Prasanna Ravindra, e Aarati S. Panchbhai. "Rehabilitation of Partially Edentulous Esthetic Zone with Custom-made Abutment in Young Patient". Journal of Datta Meghe Institute of Medical Sciences University 18, n. 4 (2023): 783–86. http://dx.doi.org/10.4103/jdmimsu.jdmimsu_423_23.
Abstract (sommario):
Abstract Implant positioning plays an important role in giving esthetics as well as in proper functioning of prosthesis. To achieve the best results, extensive evaluation and treatment planning are necessary for placing dental implants in an esthetically pleasing area. Important factors include the soft-tissue architecture, bone quantity and quality in both the horizontal and vertical planes. Thin labial cortical plate and gingival tissue in the upper anterior region are issues for esthetic outcomes. The use of high-performance ceramic material, the ability to customize the position, the angulation, the emergence profile, and the future position of the crown margin of the final restoration are all advantages of the custom abutment. Many cases of correcting the divergence between implants in total rehabilitation of the maxilla or mandible or in screw-retained single crowns are mentioned in the literature. This case report describes prosthetic rehabilitation of missing lateral teeth with customized abutments in young patients.
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Manataki, Merope, Nikos Papadopoulos, Nikolaos Schetakis e Alessio Di Iorio. "Exploring Deep Learning Models on GPR Data: A Comparative Study of AlexNet and VGG on a Dataset from Archaeological Sites". Remote Sensing 15, n. 12 (20 giugno 2023): 3193. http://dx.doi.org/10.3390/rs15123193.
Abstract (sommario):
This comparative study evaluates the performance of three popular deep learning architectures, AlexNet, VGG-16, and VGG-19, on a custom-made dataset of GPR C-scans collected from several archaeological sites. The introduced dataset has 15,000 training images and 3750 test images assigned to three classes: Anomaly, Noise, and Structure. The aim is to assess the performance of the selected architectures applied to the custom dataset and examine the potential gains of using deeper and more complex architectures. Further, this study aims to improve the training dataset using augmentation techniques. For the comparisons, learning curves, confusion matrices, precision, recall, and f1-score metrics are employed. The Grad-CAM technique is also used to gain insights into the models’ learning. The results suggest that using more convolutional layers improves overall performance. Further, augmentation techniques can also be used to increase the dataset volume without causing overfitting. In more detail, the best-obtained model was trained using VGG-19 architecture and the modified dataset, where the training samples were raised to 60,000 images through augmentation techniques. This model reached a classification accuracy of 94.12% on an evaluation set with 170 unseen data.
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SASTRY, RAGHU, e N. RANGANATHAN. "PMAC: A POLYGON MATCHING CHIP". International Journal of Pattern Recognition and Artificial Intelligence 09, n. 02 (aprile 1995): 367–85. http://dx.doi.org/10.1142/s0218001495000171.
Abstract (sommario):
The recognition of polygons in 3-D space is an important task in robot vision. Advances in VLSI technology have now made it possible to implement inexpensive, efficient and very fast custom designs. The authors have earlier proposed a class of VLSI architectures for this computationally intensive task, which makes use of a set of local shape descriptors for polygons which are invariant under affine transformations, i.e. translation, scaling, rotation and orthographic projection from 3-D to any 2-D plane. This paper discusses the design and implementation of PMAC, a prototype for polygon matching, as a custom CMOS VLSI chip. The recognition procedure is based on the matching of edge-length ratios using a simplified version of the dynamic programming procedure commonly employed for string matching. The matching procedure also copes with partial occlusions of polygons. The implemented architecture is systolic and fully utilizes the principles of pipelining and parallelism in order to obtain high speed and throughput.
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Gopal, Venu, Praveen Ganesh, Muralidhara Nagarjuna, Kiran Kumar, Samarth Shetty e Paul C. Salins. "Custom made orthotic device for maintaining skull architecture during the postoperative period in infants undergoing craniosynostosis surgery". Journal of Oral Biology and Craniofacial Research 5, n. 2 (maggio 2015): 75–80. http://dx.doi.org/10.1016/j.jobcr.2015.04.004.
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Lehrer, Ute Angelika. "Images of the Periphery: The Architecture of Flex Space in Switzerland". Environment and Planning D: Society and Space 12, n. 2 (aprile 1994): 187–205. http://dx.doi.org/10.1068/d120187.
Abstract (sommario):
The peripheries of Swiss cities are currently being restructured at an unprecedented pace. Specifically, new commercial and office developments are mushrooming along the major traffic arteries. Peripheral centers without a center have sprung up. In this paper, urban forms are described in relation to the architectural form. The new urban form comes with a specific aesthetic programme: the architecture and the planning design of the industrial and office centers in the periphery defy the mass-produced built environment of earlier suburbanization. Rather, ‘individualized’ architectural designs lend themselves to custom-made commercialization of the new urban landscape. Buildings increasingly become billboards which are strategically placed along freeways and rail lines. Finally, in what seems a marked difference to automobile-based peripheral centralization in North America and other parts of Europe, the Swiss example depends heavily on a state-managed expansion of the railroads and light-rail systems.
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Jakeš, Erik. "Glass Fibre Reinforced Concrete Products for Construction Industry and Architecture". Applied Mechanics and Materials 820 (gennaio 2016): 75–80. http://dx.doi.org/10.4028/www.scientific.net/amm.820.75.
Abstract (sommario):
Glass fibre reinforced concrete is a material which found its undisputable place in architecture and construction industry. Architecture has been using its creativity potential at building atypical elements of a specific building and the needed detail. This specific material enables unusual geometrical shapes, curves and surfaces. It is able to create custom-made original works. It is not a material which is used to make the products competitive with their price and serial production etc. It wants to be original, offers new challenges and provide new forms of its application to the people. The paper describes selected glass fibre reinforced concrete products which can serve as examples of new components creation to the producers and architects.
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Jo, Yong Hwan, Se Yeon Cho e Byoung Wook Choi. "Towards a ROS2-based software architecture for service robots". Bulletin of Electrical Engineering and Informatics 12, n. 5 (1 ottobre 2023): 3027–38. http://dx.doi.org/10.11591/eei.v12i5.5590.
Abstract (sommario):
This paper presents a scalable software architecture based on robot operating system 2 (ROS2) for service robots. ROS2 supports the data distribution service (DDS) protocol that provides benefits such as real-time operation and security and performance enhancements. However, ROS2 still lacks task management capabilities, essential for practical robotic applications consisting of multiple threads and processes. Moreover, integrating new devices into ROS2 requires additional development effort to create specific drivers for specific devices. The proposed software architecture addresses these drawbacks and provides a simple and user-friendly programming interface for easier integrating of various devices and existing ROS2 applications. Moreover, it is designed using python with multi-processing to avoid issues related to the python global interrupt lock (GIL). To verify the developed software architecture, an application for a custom-made service robot called the SeoulTech service robot (SSR) is implemented on a Jetson Xavier NX board with various features, such as ROS2 navigation and SLAM, text-to-speech (TTS), speech recognition, and face recognition.
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Hummel, Karin, Manuela Pollak e Johannes Krahofer. "A Distributed Architecture for Human-Drone Teaming: Timing Challenges and Interaction Opportunities". Sensors 19, n. 6 (20 marzo 2019): 1379. http://dx.doi.org/10.3390/s19061379.
Abstract (sommario):
Drones are expected to operate autonomously, yet they will also interact with humans to solve tasks together. To support civilian human-drone teams, we propose a distributed architecture where sophisticated operations such as image recognition, coordination with humans, and flight-control decisions are made, not on-board the drone, but remotely. The benefits of such an architecture are the increased computational power available for image recognition and the possibility to integrate interfaces for humans. On the downside, communication is necessary, resulting in the delayed reception of commands. In this article, we discuss the design considerations of the distributed approach, a sample implementation on a smartphone, and an application to the concrete use case of bookshelf inventory. Further, we report experimentally-derived first insights into messaging and command response delays with a custom drone connected through Wi-Fi.
Tesi sul tema "Custom-Made architecture":
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Cheikho, Karim. "Conception de structures souples élastiques et applications en biomécanique". Electronic Thesis or Diss., Université de Lorraine, 2022. http://www.theses.fr/2022LORR0147.
Abstract (sommario):
La sélection d’une matrice poreuse la plus adaptée à la régénération tissulaire pour une application clinique donnée est un défi, qui a motivée de nombreuses études en particulier pour des applications au comblement osseux. Plusieurs propositions ont été proposés au cours de la dernière décennie, y compris des structures avec des gradients de taille de pores dont il a été prouvé qu’elles facilitaient le transport des nutriments de la périphérie au cœur de la matrice poreuse, et encourageaient donc la régénération tissulaire. Le cadre utilisé pour concevoir de telles matrices poreuses à gradients est limité par les possibilités de distribution des pores et l’étendue des propriétés mécaniques qu’il est possible d’atteindre. Dans ce travail, nous avons proposé un cadre de conception pour générer diverses structures de matrices poreuses tridimensionnelles dotées de gradients de taille de pores à partir de transformations appliquées à des cellules unitaires. Nous avons proposé une méthodologie pour générer des matrices poreuses par une répétition multicouche de sections transverses circulaires, ce qui a permis d'obtenir une anisotropie ajustable en fonction de l'application clinique visée. Nous avons identifié les propriétés mécaniques apparentes de différentes configurations de matrices poreuses à l'aide d'une méthode numérique originale, soulignant la polyvalence de la procédure de conception qui permet d’ajuster séparément les propriétés mécaniques longitudinales et transversales des matrices poreuses. Afin d'étudier la capacité des techniques de fabrications additives usuelles à fabriquer les structures proposées, nous avons élaboré des structures poreuses à l'aide de la technique DFF (dépôt de filaments fondus) et SLA (stéréolithographie), et nous avons réalisés des essais mécaniques expérimentaux pour les confronter aux prédictions issues des simulations. Malgré les différences géométriques observées entre la conception initiale et les structures réellement obtenues, les propriétés apparentes des structures issues de la technique SLA concordent avec celles prédites par la méthode de calcul proposée. Des perspectives prometteuses ont été proposées concernant la conception de matrices poreuses auto-adaptables utilisables pour des applications spécifiques, notamment pour le comblement osseux dans un contexte de chirurgie mini-invasiveThe selection of the most-suitable porous bone scaffold for regenerative medicine applied to a given clinical application is challenging, which has motivated numerous studies especially for the repair of bone defects. Several designs have been proposed over the last decade, including structures with pore size gradients that have been proved to facilitate nutrient transport from the periphery to the core of the scaffold, and therefore to enhance tissue regeneration. The framework used to design such porous scaffolds with pore size gradients is limited by the range of the reachable pore distribution and mechanical properties.In this work, we presented a design framework to generate various three-dimensional porous scaffolds structures including cylindrical graded scaffolds from the transformations of unit cells. We proposed a methodology to generate porous scaffolds by multilayer repetition of circular cross sections, resulting in tunable anisotropy depending on the intended clinical application. We identified the apparent mechanical properties of different porous scaffold configurations using an original numerical method, highlighting the versatility of the design procedure that allows for separate tuning of longitudinal and transverse mechanical properties of porous scaffold.In order to investigate the ability of common additive manufacturing techniques to fabricate the proposed structures, we have elaborated scaffolds using FDM (fused deposition modeling) and SLA (stereolithography) techniques, we have performed experimental mechanical tests to be confronted to the predictions issued from simulations. In spite of the geometrical differences observed between the initial design and the obtained structures, the apparent properties of the structures obtained by the SLA technique agree with those predicted by the proposed computational method.Promising perspectives have been proposed concerning the design of self-fitting scaffolds that can be used for clinical applications, particularly to repair bone defects using mini-invasive surgery
Libri sul tema "Custom-Made architecture":
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Michelin, Nicolas. Cinq sur cinq : dix projets sur mesure, architecture et urbanisme =: Five by five : ten custom-made projects architecture and urban planning. Paris: Archibooks, 2008.
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Nicolas, Michelin, Pierre Catherine, Agence Nicolas Michelin et Associés. e Arc en rêve centre d'architecture., a cura di. Cinq sur cinq : dix projets sur mesure, architecture et urbanisme =: Five by five : ten custom-made projects architecture and urban planning. Paris: Archibooks, 2008.
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Cinq sur cinq : dix projets sur mesure, architecture et urbanisme =: Five by five : ten custom-made projects architecture and urban planning. Paris: Archibooks, 2008.
Capitoli di libri sul tema "Custom-Made architecture":
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Ruitinga, Volker, e Emma Chris Avramiea. "Custom-Made Printheads Empowering 3d Printed Concrete: Innovations in Digital Design and Fabrication of Complex Prefabricated Elements". In Coding Architecture, 239–61. Cham: Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-47913-7_13.
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Arvind, Aniketh. "A Deep Neural Architecture Search Net-Based Wearable Object Classification System for the Visually Impaired". In Communications in Computer and Information Science, 198–213. Cham: Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-46338-9_15.
Abstract (sommario):
AbstractThe World Health Organization estimates that a staggering 2.2 billion individuals worldwide suffer from vision impairments, drastically limiting independence and quality of daily life and leading to billions of dollars in direct costs and annual productivity losses. Although the field of machine learning has made significant strides in recent years, particularly in image classification, these advances have predominantly focused on tasks that are visual in nature, which can be challenging for vision-impacted individuals. Much work has been published on obstacle avoidance and large-object detection for the visually impaired. However, little has been done to aid them in better understanding complex indoor daily-living environments. For these reasons, this study develops and presents a wearable object classification system specifically designed to assist the visually impaired in identifying small tabletop objects commonly found in their surrounding indoor environments. Through transfer learning, the system uses a pretrained neural architecture search network called NASNet-Mobile and a custom image dataset to conduct highly effective small-object classification with model accuracies of over 90.00%. The proposed transfer-learning model is subsequently deployed on a wearable wrist device for real-world applicability. This study ultimately evaluates and demonstrates the system’s ability to accurately classify small tabletop objects using an eight-trial experiment that calculates the system’s average precision, recall, and F1 score to be 99.30%, 97.93%, and 98.61%, respectively. Overall, this system represents a significant step forward in the development of machine learning systems that constructively assist the visually impaired while simultaneously improving their daily independence and quality of life.
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Zanetto, Francesco. "Low-Noise Mixed-Signal Electronics for Closed-Loop Control of Complex Photonic Circuits". In Special Topics in Information Technology, 55–64. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-85918-3_5.
Abstract (sommario):
AbstractAn increasing research effort is being carried out to profit from the advantages of photonics not only in long-range telecommunications but also at short distances, to implement board-to-board or chip-to-chip interconnections. In this context, Silicon Photonics emerged as a promising technology, allowing to integrate optical devices in a small silicon chip. However, the integration density made possible by Silicon Photonics revealed the difficulty of operating complex optical architectures in an open-loop way, due to their high sensitivity to fabrication parameters and temperature variations. In this chapter, a low-noise mixed-signal electronic platform implementing feedback control of complex optical architectures is presented. The system exploits the ContactLess Integrated Photonic Probe, a non-invasive detector that senses light in silicon waveguides by measuring their electrical conductance. The CLIPP readout resolution has been maximized thanks to the design of a low-noise multichannel ASIC, achieving an accuracy better than −35 dBm in light monitoring. The feedback loop to stabilize the behaviour of photonic circuits is then closed in the digital domain by a custom mixed-signal electronic platform. Experimental demonstrations of optical communications at high data-rate confirm the effectiveness of the proposed approach.
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Mvelase, Promise, Nomusa Dlodlo, Quentin Williams e Matthew O. Adigun. "Custom-Made Cloud Enterprise Architecture for Small Medium and Micro Enterprises". In Cloud Computing Advancements in Design, Implementation, and Technologies, 205–17. IGI Global, 2013. http://dx.doi.org/10.4018/978-1-4666-1879-4.ch015.
Abstract (sommario):
Small, Medium, and Micro enterprises (SMMEs) usually do not have adequate funds to acquire ICT infrastructure and often use cloud computing. In this paper, the authors discuss the implementation of virtual enterprises (VE) to enable SMMEs to respond quickly to customers’ demands and market opportunities. The virtual enterprise model is based on the ability to create temporary co-operations and realize the value of a short term business opportunity that the partners cannot fully capture on their own. The model of virtual enterprise is made possible through virtualisation technology, which is a building block of cloud computing. To achieve a common goal, enterprises integrate resources, organisational models, and process models. Through the virtual business operating environment offered by cloud computing, the SMMEs are able to increase productivity and gain competitive advantage due to the cost benefit incurred. In this paper, the authors propose a virtual enterprise enabled cloud enterprise architecture based on the concept of virtual enterprise at both business and technology levels. The business level comprises of organisational models, process models, skills, and competences whereas the technology level comprises of IT resources.
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Mvelase, Promise, Nomusa Dlodlo, Quentin Williams e Matthew O. Adigun. "Custom-Made Cloud Enterprise Architecture for Small Medium and Micro Enterprises". In Grid and Cloud Computing, 589–601. IGI Global, 2012. http://dx.doi.org/10.4018/978-1-4666-0879-5.ch303.
Abstract (sommario):
Small, Medium, and Micro enterprises (SMMEs) usually do not have adequate funds to acquire ICT infrastructure and often use cloud computing. In this paper, the authors discuss the implementation of virtual enterprises (VE) to enable SMMEs to respond quickly to customers’ demands and market opportunities. The virtual enterprise model is based on the ability to create temporary co-operations and realize the value of a short term business opportunity that the partners cannot fully capture on their own. The model of virtual enterprise is made possible through virtualisation technology, which is a building block of cloud computing. To achieve a common goal, enterprises integrate resources, organisational models, and process models. Through the virtual business operating environment offered by cloud computing, the SMMEs are able to increase productivity and gain competitive advantage due to the cost benefit incurred. In this paper, the authors propose a virtual enterprise enabled cloud enterprise architecture based on the concept of virtual enterprise at both business and technology levels. The business level comprises of organisational models, process models, skills, and competences whereas the technology level comprises of IT resources.
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Petersen, Wesley, e Peter Arbenz. "Shared Memory Parallelism". In Introduction to Parallel Computing. Oxford University Press, 2004. http://dx.doi.org/10.1093/oso/9780198515760.003.0009.
Abstract (sommario):
Shared memory machines typically have relatively few processors, say 2–128. An intrinsic characteristic of these machines is a strategy for memory coherence and a fast tightly coupled network for distributing data from a commonly accessible memory system. Our test examples were run on two HP Superdome clusters: Stardust is a production machine with 64 PA-8700 processors, and Pegasus is a 32 CPU machine with the same kind of processors. The HP9000 is grouped into cells, each with 4 CPUs, a common memory/cell, and connected to a CCNUMA crossbar network. The network consists of sets of 4×4 crossbars and is shown in Figure 4.2. An effective bandwidth test, the EFF_BW benchmark [116], groups processors into two equally sized sets. Arbitrary pairings are made between elements from each group, Figure 4.3, and the cross-sectional bandwidth of the network is measured for a fixed number of processors and varying message sizes. The results from the HP9000 machine Stardust are shown in Figure 4.4. It is clear from this figure that the cross-sectional bandwidth of the network is quite high. Although not apparent from Figure 4.4, the latency for this test (the intercept near Message Size = 0) is not high. Due to the low incremental resolution of MPI_Wtime, multiple test runs must be done to quantify the latency. Dr Byrde’s tests show that minimum latency is ≳ 1.5μs. A clearer example of a shared memory architecture is the Cray X1 machine, shown in Figures 4.5 and 4.6. In Figure 4.6, the shared memory design is obvious. Each multi-streaming processor (MSP) shown in Figure 4.5 has 4 processors (custom designed processor chips forged by IBM), and 4 corresponding caches. Although not clear from available diagrams, vector memory access apparently permits cache by-pass; hence the term streaming in MSP. That is, vector registers are loaded directly from memory: see, for example, Figure 3.4. On each board (called nodes) are 4 such MSPs and 16 memory modules which share a common (coherent) memory view. Coherence is only maintained on each board, but not across multiple board systems.
Atti di convegni sul tema "Custom-Made architecture":
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Gulling, Dana K. "CRM in Architecture: Data Collection of Customized Repetitive Manufacturing Case Studies Analyzed". In 109th ACSA Annual Meeting Proceedings. ACSA Press, 2021. http://dx.doi.org/10.35483/acsa.am.109.22.
Abstract (sommario):
In architecture, computer-aided manufacturing (CAM) and computer numerical controlled (CNC) equipment has revolutionized the relationship between design and fabrication. Directly, CNC equipment can cut, carve, and shape materials to fabricate architecture components; indirectly, CNC equip¬ment can cut, carve, and shape custom tools (e.g. molds, patterns, and jigs) to manufacture architecture components. With its indirect use, CNC equipment has made it affordable and practical to customize repetitive manufacturing (CRM) on a per-building basis. For many processes and projects, CRM offers a wider range of component materials, with less manufacturing waste, in less time, and for less money than directly manufacturing with CAM. We have collected over 340 examples of CRM in architecture. Our examples are located around the world and demon-strate a global application of CRM in architecture. Our CRM example data includes project year completed; architect; building location, size, type, and budget; and categorizes the CRM component types, manufacturing processes, materials, production runs, and the number of produced variants. Using the data visualization software Tableau, this paper presents and analyzes our CRM data.
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Beck, Joseph R., Daniel F. Walczyk, Casey J. Hoffman e Steve J. Buelte. "Ultrasonic Bonding of Membrane Electrode Assemblies for Low Temperature PEM Fuel Cells". In ASME 2012 10th International Conference on Fuel Cell Science, Engineering and Technology collocated with the ASME 2012 6th International Conference on Energy Sustainability. American Society of Mechanical Engineers, 2012. http://dx.doi.org/10.1115/fuelcell2012-91308.
Abstract (sommario):
Ultrasonic bonding of low temperature PEM membrane electrode assemblies has shown to cut the cycle time and energy input of manufacturing by over an order of magnitude each as compared to the industry standard of thermal pressing. Ultrasonic bonding uses high-frequency mechanical oscillations to convert electrical energy into heat energy which bonds the membrane electrode assembly components. This reduction in manufacturing resource requirement and time helps make fuel cell energy more economical as an alternative electrical power source. This paper will discuss ultrasonic and thermal bonding for low temperature Nafion fuel cells with 10 cm2 active area including process optimization and the effects of electrode type and membrane conditioning on ultrasonically bonded MEA performance. A design set of experiments was created for both ultrasonic bonding and thermal pressing process optimization using commercially available electrodes and conditioned Nafion 115 membrane. Analysis of Variance suggests that neither energy nor pressure have a statistically significant effect on the performance on ultrasonically bonded MEAs. For thermally pressed MEAs, temperature was found to have a significant effect on performance while pressure was not. Neither manufacturing technique found interaction effects to be statistically significant. Three different electrode compositions were tested on both ultrasonic and thermal MEA bonding methods. Electrodes investigated include two that were custom made in-house with catalyst loadings of 0.16 and 0.33 mg Pt/cm2, and one commercial electrode with 0.5 mg Pt/cm2. The lower loaded custom electrode had greater performance than the commercial electrode, which had higher platinum loading, indicating electrode architecture is an important factor in the performance of ultrasonically bonded MEAs. Membrane electrode assemblies made using Nafion membranes that were pretreated with a conditioning process showed decreased performance compared to MEAs ultrasonically bonded from dry, unconditioned membrane in short-term testing. MEAs thermally pressed with the custom made electrodes performed better with conditioned membranes while the commercial electrodes showed decreased performance with conditioning. Current electrodes have been optimized for thermal pressing as demonstrated by the two commercial electrodes having the largest performance decreases between thermally and ultrasonically manufactured MEAs. Future work includes intelligently designing an electrode for optimizing the ultrasonic bonding process for low temperature fuel cells to increase the performance of this manufacturing technique.
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Gupta, Aditya, Ananthavijayan Sridhar e Dereje Agonafer. "CFD Optimization of the Cooling of Yosemite Open Compute Server". In ASME 2017 International Technical Conference and Exhibition on Packaging and Integration of Electronic and Photonic Microsystems collocated with the ASME 2017 Conference on Information Storage and Processing Systems. American Society of Mechanical Engineers, 2017. http://dx.doi.org/10.1115/ipack2017-74254.
Abstract (sommario):
Over the past few years, there has been an ever increasing rise in energy consumption by IT equipment in Data Centers. Thus, the need to minimize the environmental impact of Data Centers by optimizing energy consumption and material use is increasing. In 2011, the Open Compute Project was started which was aimed at sharing specifications and best practices with the community for highly energy efficient and economical data centers. The first Open Compute Server was the ‘ Freedom’ Server. It was a vanity free design and was completely custom designed using minimum number of components and was deployed in a data center in Prineville, Oregon. Within the first few months of operation, considerable amount of energy and cost savings were observed. Since then, progressive generations of Open Compute servers have been introduced. Initially, the servers used for compute purposes mainly had a 2 socket architecture. In 2015, the Yosemite Open Compute Server was introduced which was suited for higher compute capacity. Yosemite has a system on a chip architecture having four CPUs per sled providing a significant improvement in performance per watt over the previous generations. This study mainly focuses on air flow optimization in Yosemite platform to improve its overall cooling performance. Commercially available CFD tools have made it possible to do the thermal modeling of these servers and predict their efficiency. A detailed server model is generated using a CFD tool and its optimization has been done to improve the air flow characteristics in the server. Thermal model of the improved design is compared to the existing design to show the impact of air flow optimization on flow rates and flow speeds which in turn affects CPU die temperatures and cooling power consumption and thus, impacting the overall cooling performance of the Yosemite platform. Emphasis is given on effective utilization of fans in the server as compared to the original design and improving air flow characteristics inside the server via improved ducting.
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Green, J. T., I. A. Rybak e C. Glaesman. "Backup-Ring Optimization for High-Temperature and High-Pressure Applications Through Dynamic Composition Modification in Composite 3d Printing". In International Petroleum Technology Conference. IPTC, 2024. http://dx.doi.org/10.2523/iptc-23353-ms.
Abstract (sommario):
Abstract Performance optimization was demonstrated in thermoplastic sealing systems for oil and gas equipment using emerging technologies in 3D printing to manufacture multicomponent composite structures. A custom 3D printer was equipped with a patented print head designed for dynamic mixing of individual feed materials and paired with advanced print-planning procedures to enable fabrication of novel thermoplastic structures. Simple flat backup rings used in O-ring sealing connections were manufactured with numerous architectures including homogeneous carbon fiber distributions, consistent with typical commercial processes and products, and novel carbon fiber distributions unique to this study. Specimens were tested in a sealing configuration to determine performance. Backup rings made from polyether ether ketone with uniformly distributed carbon fiber at high concentrations result in lower peak extrusion pressures than do unfilled grades but have the advantage of lower permanent deformation during long periods of steady-state loading. Flat backup rings were produced with discrete regions of each unfilled and carbon filled grades of polyether ether ketone and polylactic acid to optimize extrusion pressure at failure and long-term creep which were found to be dependent on both the volume ratio and orientation of the two regions relative to the primary O-ring seal. Uniform distributions of carbon fiber were outperformed by at least one binary or functionally graded architecture having the same nominal carbon fiber content. This demonstrates the viability of on-demand 3D printing of backup rings and provides a novel means of simplifying multicomponent systems while simultaneously expanding the operating envelope and life expectancy of oil and gas equipment since extrusion resistance and long-term creep in thermoplastic backup systems are major factors influencing service ratings for temperature, pressure, and service life. Innovative technology and methods described in this study enable fabrication of novel composite structures that increase performance when compared to homogeneous materials manufactured through traditional molding processes. In addition to supporting fabrication of sealing components for rapid response in oil and gas equipment, this technique provides a means of improving the overall performance of sealing systems without an increase to the size or complexity of the sealing assembly.
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Butean, Alex, Adrian Florea, Marco leon Olescu e Nicolae adrian Tocu. "IMPROVING TRAINING METHODS FOR INDUSTRY WORKERS THOUGH AI ASSISTED MULTI-STAGE VIRTUAL REALITY SIMULATIONS". In eLSE 2019. Carol I National Defence University Publishing House, 2019. http://dx.doi.org/10.12753/2066-026x-19-007.
Abstract (sommario):
For industry workers in the manufacturing space, the most time-consuming and less-productive process is represented by the multitude of training stages. For each new process / module / change in the manufacturing flow, there is a need for another customized training stage. For demanding industries (automotive, toys factories, household appliances, etc) where customization is the key to sell more products, the time spent for preparing, designing and training people for new scenarios represents an important parameter that influences the production cycle efficiency. The current paper presents a solution to improve the measured performance on a new custom given task added to an existing scenario, using a multi-stage virtual reality (VR) simulator. The simulator acts as a digital twin for a physical testbed that offers 20+ parts to build the end product. To prove the performance of the solution, the first experiment uses a realistic multi-layered toy car as the end product. Both activities (real and virtual) are favoring the exploration of the building process, allowing the user (trainee) to discover multiple solutions that should lead to the same final result. The course of actions is supervised by an adaptive AI algorithm that compares the progress made by previous attempts (successful or not) with the ongoing attempt of a user and offers real-time guidance. Aside from using a gamified lego-like experience, the described approach contributes to the training process by offering personalized contextual suggestions, advices and tips. The article contains a serious state of the art study, current version specifications and objectives, details regarding the architecture of the solution, development components, results, comparative experimental tests and conclusions.
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Sato, S., S. Jovanovic, J. Lang e Z. Spakovszky. "Demonstration of a Palm-Sized 30 Watt Air-to-Power Turbine Generator". In ASME Turbo Expo 2010: Power for Land, Sea, and Air. ASMEDC, 2010. http://dx.doi.org/10.1115/gt2010-22925.
Abstract (sommario):
A compact, high power-density turbo-generator system was conceived, designed and experimentally tested. The air-to-power (A2P) device with a nominal design point of 50 W electric power output operates on high pressure air such as for example from a plant pneumatic system or a portable bottle of pressurized air. A concept design study was first carried out to explore the design space for a range of output power at cost efficiency levels specified in collaboration with industry. The cost efficiency is defined as the cost of electrical power over the cost of pressurized air. The key challenge in the design is the relatively low power demand of 50 W while operating at high supply pressures of nominally 5 to 6 bar. To meet the cost efficiency goal under these conditions, a high-speed turbine and generator (∼450,000 rpm) are required with small blade span (∼200 μm) minimizing the mass flow while achieving the highest possible turbine performance. Since turbines with such small turbomachinery blading aren’t commercially available, a silicon-based MEMS turbine was designed using 2-D and 3-D CFD computations. To reduce the development time, existing and previously demonstrated custom-made generator and ceramic ball-bearing technology were used, resulting in a compact A2P proof-of-concept demonstration. The cylindrical device of 35 mm diameter resembles a tube fitting with a standard M24 adapter. Without load, a top turbine speed of 475,000rpm was demonstrated exceeding the design specification. Using load resistors, the proof-of-concept A2P device achieved 30 W of electrical power at 360,000 rpm and a turbine efficiency of 47%, meeting the cost efficiency goal. Higher speeds under load could not be achieved due to thrust load limitations of the off-shelf ball bearings. The demonstrated performance is in good agreement with the projected CFD based predictions. To the authors’ knowledge, this is the first successful demonstration of a self-contained, 50 W-class turbo-generator of hybrid architecture where a MEMS turbine disk is joined with a precision machined titanium shaft and aluminum housing.
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Ray, Unmesa, e Abdulaziz Banawi. "Development of A Smart Database for Construction Inventory Management Using Deep Learning to Eliminate Supply Chain Bottlenecks Post COVID-19". In 13th International Conference on Applied Human Factors and Ergonomics (AHFE 2022). AHFE International, 2022. http://dx.doi.org/10.54941/ahfe1002520.
Abstract (sommario):
The COVID-19 pandemic has sent shockwaves down the supply chains of industries. The Architecture, Engineering, and Construction (AEC) industry is used to cyclical downturns, but the speed and strength with which COVID-19 has struck are unprecedented. Projects are being delayed or canceled. Supply chains are under threat. National and International policies are being revamped to deal with the transformed landscape. In 2019, the USA receives more than 530 thousand metric tons of steel from Russia, Germany, Italy, Canada, Mexico, and other such countries. The US building industry is dependent largely on other countries for the supply of raw materials, which make the construction industry at risk due to trade restrictions that have ensued in the post COVID world. One way to deal with such a changing environment is to diversify the dependence portfolio in supply chains to reduce shocks. The other alternative is to look to build an inventory based on predictive analytics. This research aims to implement the two reactionary measures of portfolio diversification and inventory infrastructure development by leveraging predictive analytics and big data. The project will be mainly divided into three phases – PHASE 1 will be mainly focused on the gathering of the relevant manufacturer and supplier data of construction materials both within and external to geographical borders of the USA. PHASE 2 will focus on the selection and integration of algorithms with the live database that has been created in phase 1. PHASE 3 will be devoted to the creation of custom-made user interfaces for the project owners. This phase will also focus on the automation of live reports, notifications,s, etc. to be sent to project owners. The deep learning algorithms would need continuous feedback and improvement to increase their credibility and reliance on a continuous basis. Thus, it will help to reduce the risks generated through uncertainties by developing a resilient smart responsive database that will provide stockholders accurate data and predictions in response to the market and industry behavior.
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Haure, J. M. "RCCE-E 2005 Creator of Confidence Between Nuclear Safety Authority, Owner, and Suppliers". In 18th International Conference on Nuclear Engineering. ASMEDC, 2010. http://dx.doi.org/10.1115/icone18-30369.
Abstract (sommario):
The paper deals with the design rules included in the RCCE code applicable to electrical, and instrumentation and control systems and components contributing to safety-class functions. It is a major document in the relationships between the Owner and its suppliers and the safety authorities. The code is periodically submitted to the Nuclear Safety Authority Assessment. Initially used for the French PWR program and published by the French Society for Design and Construction rules for Nuclear Island Components (AFCEN), the code evolves to comply with third generation PWR nuclear islands and aims to comply with national regulations if needed in addition to French regulations. It gathers within one set of rules, the design and construction practices of, the electrical and I&C systems and components, and installation engineering documents. Brief presentation of some items is proposed: - Relationships between Safety Analyses Report plant system and installation engineering; - Off-site and on-site sources requirements; - Periodic tests and permanent monitoring requirements to guarantee the safety function availability; - I&C architecture and Human Machine Interfaces; - Digital I&C systems requirements; - Establishing qualification to ambience conditions, that includes normal and mild conditions and, harsh and severe accident conditions. Custom-made approach based on the families of ambience defined as a combination of equipment mission time, and normal and abnormal conditions (pressure, temperature, radiation) enabling to cope better with environmental conditions; - High and Low frequencies disturbances protections (Lightning, GSM, DECT, WiFi); - Project data used by any supplier or designer such as site data, temperature of rooms, maximum design temperature of equipment, the voltages and frequency variation range and tolerances of the alternative current and direct current electrical networks, the decoupling data of environmental conditions; - Electrical equipment separation requirements and isolation and decoupling solutions designs; - Electrical enclosures design requirements. A conclusion on the evolution of AFCEN organization in charge of comprehensive set of technical codes on the design, construction and surveillance of civil work structures, fire protection, mechanical structures, the core and fuel design, the electrical and I&C equipment and systems of PWR nuclear island.
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Schuberth, Maximilian Georg, Håkon Sunde Bakka, Claire Emma Birnie, Stefan Dümmong, Kjetil Eik Haavik, Qin Li, Johan-Fredrik Synnevåg, Yanis Saadallah, Lars Vinje e Kevin Constable. "A Real-Time Fiber Optical System for Wellbore Monitoring: A Johan Sverdrup Case Study". In SPE Offshore Europe Conference & Exhibition. SPE, 2021. http://dx.doi.org/10.2118/205405-ms.
Abstract (sommario):
Abstract Fiber Optic (FO) sensing capabilities for downhole monitoring include, among other techniques, Distributed Temperature Sensing (DTS) and Distributed Acoustic Sensing (DAS). The appeal of DTS and DAS data is based on its high temporal and spatial sampling, allowing for very fine localization of processes in a wellbore. Furthermore, the broad frequency spectrum that especially DAS data is acquired with, enables observations, ranging from more continuous effects like oil flow, to more distinct effects like opening and closing of valves. Due to the high data volume of hundreds of Gb per well per hour, DAS data has traditionally been acquired acquisition-based, where data is recorded for a limited amount of time and processed at a later point in time. This limits the decision-making capability based on this data as reacting to events is only possible long after the event occurred. Equinor has addressed these decision-making shortcomings by building a real-time streaming solution for transferring, processing, and interpretation of its FO data at the Johan Sverdrup field in the North Sea. The streaming solution for FO data consists of offshore interrogators streaming raw DAS and DTS data via a dedicated bandwidth to an onshore processing cluster. There, DAS data is transformed into FO feature data, e.g., Frequency Band Energies, which are heavily decimated versions of the raw data; allowing insight extraction, while significantly reducing data volumes. DTS and DAS FO feature data are then streamed to a custom-made, cloud-based visualization and integration platform. This cloud-based platform allows efficient inspection of large data sets, control and evaluation of applications based on these data, and sharing of FO data within the Johan Sverdrup asset. During the last year, this FO data streaming pipeline has processed several tens of PB of FO data, monitoring a range of well operations and processes. Qualitatively, the benefits and potential of the real-time data acquisitions have been illustrated by providing a greater understanding of current well conditions and processes. Alongside the FO data pipeline, multiple prototype applications have been developed for automated monitoring of Gas Lift Valves, Safety Valve operations, Gas Lift rate estimation, and monitoring production start-up, all providing insights in real-time. For certain use cases, such as monitoring production start-up, the FO data provides a previously non-existent monitoring solution. In this paper, we will discuss in detail the FO data pipeline architecture from-platform-to-cloud, illustrate several data examples, and discuss the way-forward for "real-time" FO data analytics.
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Wills, Jackson, Nathan Tom e Senu Sirnivas. "Power Take-Off Design Study for a Small-Scale Oscillating Surge Wave Energy Converter for Powering the Blue Economy Applications". In ASME 2023 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2023. http://dx.doi.org/10.1115/imece2023-112259.
Abstract (sommario):
Abstract The power take-off (PTO) is an integral part of wave energy conversion, and the design process is nontrivial. Better PTOs, and better processes for selecting and designing PTO architectures for various applications, would benefit devices that assist in powering the blue economy by decreasing time and money spent on PTO design and increasing the overall energy capture performance of these devices. This paper chronicles the selection process of a PTO for a small-scale surge-type wave energy converter (WEC) for the purpose of informing future PTO selection processes. Three PTO architectures are evaluated in WEC-Sim: a hydraulic check valve PTO, a hydraulic active valving PTO, and a directly electrified PTO. Simple models of each PTO are constructed. Because a model for the small-scale device was initially unavailable, the PTOs are simulated on a large-scale device. The results are scaled down using Froude scaling and compared to results from directly simulating a small-scale model. Strong assumptions are made because this work is early in the design stages, and a coarse look at PTO options was desired. Specifically, the effectiveness of controls is investigated, along with the efficiency of energy conversion. However, energy capture is only part of the consideration; there are also logistic concerns to be considered when selecting a PTO. For example, components for large-scale WECs are so large and expensive that it may make sense to custom-build PTO components, but small-scale WECs would benefit from off-the-shelf availability because the cost of customization would be a significant portion of the total capital cost of deployment at a small scale. Submersible, off-the-shelf components are much easier to source for hydraulic PTOs. Because of highly effective controls, efficient energy conversion, and availability of marine-grade components, an active valving hydraulic PTO is selected for this small-scale surge-type WEC.