Bibliographies thématiques / Granular platform

Littérature scientifique sur le sujet « Granular platform »

Auteur : Grafiati
Publié le 27 juillet 2024
Mis à jour le 29 juillet 2024

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Articles de revues sur le sujet "Granular platform"

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Dan Liu, Dan Liu. « Study on Cultural Consumption Characteristics of Museum Short Video Platforms under the Threshold of Identifier Economics ». Northeast Asian Arts and Cultural Management Association 1, no 1 (30 juin 2024) : 49–58. http://dx.doi.org/10.69887/jnaacm.2024.1.1.49.

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Purpose - This study examines museums’ operations on the Shakeology platform, elucidating the characteristics of museums’ cultural consumption in relation to identity, cultural identity, value identity, and the cluster effect of certified museums. The study explores how short video platforms can serve as effective tools for cultural communication and consumption promotion. Design/Methodology/Approach - The study utilizes qualitative research to investigate how museums utilize the Shakeology platform to create a diverse content ecosystem and improve audience engagement. Data is collected through the analysis of museum activities on the platform, including content types, interaction strategies, and audience engagement. It also examines how short video platforms differ from traditional media in terms of granular information processing and community interaction. Findings - Short video platforms are more effective in communication than traditional media due to their granular information processing and community interaction. Museums that focus on Shakeology can enhance consumers’ connection to cultural heritage, optimize market positioning, and improve audience interaction. Key characteristics of cultural consumption on the platform include enhanced cultural identity, value identity, and a significant cluster effect of certified museums, leading to a richer cultural experience for audiences. Research Implications - The study holds significant implications for museums aiming to utilize modern media for audience engagement and market positioning. By understanding cultural consumption dynamics on short video platforms, museums can customize content and interaction strategies to cultivate stronger audience connections. The study suggests that museums should continue to innovate and adapt to new media trends to enhance their cultural communication efforts.
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Kim, Woon-Hyung, Tuncer B. Edil, Craig H. Benson et Burak F. Tanyu. « Structural Contribution of Geosynthetic-Reinforced Working Platforms in Flexible Pavement ». Transportation Research Record : Journal of the Transportation Research Board 1936, no 1 (janvier 2005) : 43–50. http://dx.doi.org/10.1177/0361198105193600106.

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A study was conducted in the field and with a large-scale model experiment (LSME) to evaluate the structural contribution of a 0.30-m-thick geosynthetic-reinforced granular layer used as a working platform for construction over soft subgrade. The study was conducted in the context of the 1993 AASHTO design guideline, in which the structural number (SN) of the pavement is based on layer coefficients (each defined using a resilient modulus). Working platforms reinforced with geosynthetics had smaller elastic deflections and larger elastic moduli than unreinforced working platforms with the same thickness. Reinforcement factors obtained in the field ranged from 1.2 to 1.8; those obtained in the laboratory ranged from 1.7 to 2.0, with greater reinforcement factors for the less extensible geosynthetics (geogrid, woven geotextile) for a 0.3-m-thick granular working platform. Of the four geosynthetics tested, the geogrid resulted in the greatest increase in modulus. Reinforcing the working platforms with geosynthetics resulted in increases in layer coefficients ranging from 50% to 70%. Similarly, increases in SN for a typical pavement structure were realized, ranging from 3% to 11% when all other factors were equal.
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Goodall, Sean, et Richard Merifield. « Working platforms and bearing capacity assessments of sand overlying clay using finite element limit analysis ». Australian Geomechanics Journal 58, no 3 (1 septembre 2023) : 117–39. http://dx.doi.org/10.56295/agj5835.

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The bearing capacity of shallow foundations on layered soils is typically based on empirical models assuming a strip footing. Shape factors are then applied to the strip footing solution to account for the specific geometry of the foundation being considered. A common practical application of this methodology is when the ultimate bearing capacity of a granular working platform constructed over a clay subgrade is estimated using the Working Platforms for Tracked Plant BRE-470 guideline. Previous studies using finite element limit analysis have been undertaken to examine a strip footing on a layered soil and how the resulting bearing capacity compares to that derived from BRE-470. This paper presents an extension of previous work by the authors using finite element limit analysis to investigate the three-dimensional influence on the bearing capacity of square and rectangular footings on sand over clay. The finite element limit analysis solutions are used to produce charts to assist designers with estimating the ultimate bearing capacity of granular working platforms overlying clay. The paper also aims to highlight some important considerations when adopting the BRE-470 guideline to design granular working platforms overlying clay.
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Okyay, U. S., D. Dias, L. Thorel et G. Rault. « Centrifuge Modeling of a Pile-Supported Granular Earth-Platform ». Journal of Geotechnical and Geoenvironmental Engineering 140, no 2 (février 2014) : 04013015. http://dx.doi.org/10.1061/(asce)gt.1943-5606.0001004.

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Shapira, Kfir, et Ines Zucker. « Emerging investigator series : Molybdenum disulfide-enabled activated carbon - a multifunctional adsorbent for practical water treatment applications ». Environmental Science : Nano 9, no 2 (2022) : 477–88. http://dx.doi.org/10.1039/d1en00897h.

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This study addresses barriers to large-scale application of molybdenum disulfide (MoS2) in water treatment schemes through its affixation onto granular activated carbon (AC) as an active adsorbing platform.
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Du, Wen Sheng. « Transformations and information granularity of knowledge structures in set-based granular computing ». Journal of Intelligent & ; Fuzzy Systems 41, no 1 (11 août 2021) : 451–66. http://dx.doi.org/10.3233/jifs-202086.

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Granular computing is a relatively new platform for constructing, describing and processing information or knowledge. For crisp information granulation, the universe is decomposed into granules by binary relations on the universe, say, preorder, tolerance and equivalence relations. A knowledge structure is composed of all information granules induced by a relation that corresponds to the granulation. This paper establishes a novel theoretical framework for the measurement of information granularity of knowledge structures. First, two new relations between knowledge structures are introduced through the use of their respective Boolean relation matrices, where the granular equality relation is defined based on an orthogonal transformation with the transformation matrix being a permutation matrix, and the granularly finer relation is presented by combining the classical finer relation and the orthogonal transformation. Then, it is demonstrated that the simplified knowledge structure base with the granularly finer relation is a partially ordered set, which can be represented by a Hasse diagram. Subsequently, an axiomatic definition of information granularity is proposed to satisfy the constraints regarding these two relations. Moreover, a general form of the information granularity is given, and some existing measures are proved to be its special cases. Finally, as an application of the proposed measure, the attribute significance measure is developed based on the information granularity.
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Wang, Xiao Liang, et Jia Chun Li. « Numerical Triaxial Apparatus and Application ». Applied Mechanics and Materials 353-356 (août 2013) : 3251–55. http://dx.doi.org/10.4028/www.scientific.net/amm.353-356.3251.

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A numerical triaxial apparatus based on discrete element method is developed on the platform of Yade using Python script. A DEM model with rolling resistance contact considered is proposed for dense granular materials, which is then applied in triaxial compression test of Chende sand. Stress-strain response and volume-axial strain response of the DEM model agree well with that of experiments, with a good prediction of dilatancy angle. Degradation of granular materials duo to particle erosion is also investigated using triaxial compression tests. It is indicated that peak friction angle decreases with the remove of particles if strong force network of granular materials is destroyed.
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Agrela, Francisco, Francisco González-Gallardo, Julia Rosales, Javier Tavira, Jesús Ayuso et Manuel Cabrera. « Complete Real-Scale Application of Recycled Aggregates in a Port Loading Platform in Huelva, Spain ». Materials 13, no 11 (10 juin 2020) : 2651. http://dx.doi.org/10.3390/ma13112651.

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The application of recycled aggregates (RA) from construction and demolition waste and crushed concrete blocks is a very important challenge for the coming years from the environmental point of view, in order to reduce the exploitation of natural resources. In Spain, the use of these recycled materials in the construction of road bases and sub-bases is growing significantly. However, presently, there are few studies focused on the properties and behavior of RA in civil works such as road sections or seaport platforms. In this work, two types of RA were studied and used in a complete real-scale application. Firstly, recycled concrete aggregates (RCA) were applied in the granular base layer under bituminous superficial layers, and secondly mixed recycled aggregates (MRA) which contain a mix of ceramic, asphalt, and concrete particles were applied in the granular subbase layer, under the base layer made with RCA. Both RA were applied in a port loading platform in Huelva, applying a 100% recycling rate. This civil engineering work complied with the technical requirements of the current Spanish legislation required for the use of conventional aggregates. The environmental benefits of this work have been very relevant, and it should encourage the application of MRA and RCA in civil engineering works such as port platforms in a much more extended way. This is the first and documented real-scale application of RA to completely build the base and sub-base of a platform in the Huelva Port, Spain, replacing 100% of natural aggregates with recycled ones.
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Zhou, Yanlei, Tao Jia, Xiangjun Zhang, Zhenyu Liu et R. D. K. Misra. « Investigation on tempering of granular bainite in an offshore platform steel ». Materials Science and Engineering : A 626 (février 2015) : 352–61. http://dx.doi.org/10.1016/j.msea.2014.12.074.

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Kusk, Kalle, et Midas Nouwens. « Platform-Mediated Food Delivery Work ». Proceedings of the ACM on Human-Computer Interaction 6, CSCW2 (7 novembre 2022) : 1–25. http://dx.doi.org/10.1145/3555645.

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CSCW holds a valuable set of notions and tools for future granular inquiry into the work practice on food delivery platforms and pertinent questions from the field of food delivery resonate with research agendas within CSCW. This argument is based on a synthetic literature review that identifies characteristics of food delivery work and connects them to previous scholarship within CSCW. With few exceptions, the food delivery workers in the papers included are typically young, male and of immigrant background. The work practice the papers describe typically relies on algorithmic management, flexible scheduling, pay-per-delivery, and while food delivery workers work solitarily, workers repeatedly organize in both formal and informal groups. Finally, the review shows that while these characteristics are common, the local environment where the work is done has a significant impact on the workers' practice, resulting in meaningful differences between places and platforms that should be considered. The discussion brings forth salient issues and outlines two alleys of future work.
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Thèses sur le sujet "Granular platform"

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Abou, Chaz Nisrine. « Etudes expérimentale et numérique des plateformes granulaires renforcées par géosynthétiques sur sol mou ». Electronic Thesis or Diss., Université Grenoble Alpes, 2024. http://www.theses.fr/2024GRALI031.

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La mauvaise qualité de la couche de fondation est un défi important dans la construction de routes non revêtues. Les géosynthétiques (GSY) sont des solutions innovantes développés à partir des années 70. Selon le type de GSY utilisé, ils peuvent assurer un ou plusieurs rôles, notamment la séparation, le renforcement par les effets membrane et la stabilisation par l'imbrication des grains de sol dans les ouverture de la géogrille et/ou le frottement à l'interface sol-GSY. Il existe dans la littérature peu de méthodes de dimensionnement pour quantifier ces mécanismes, et elles présentent des limites en raison de leur calibration sur des paramètres spécifiques aux GSY et au sol utilisé et, parfois, dans des conditions de charge statique plutôt que cyclique. La complexité des mécanismes et le nombre importants de paramètres qui interviennent dans leur mise en place requirent une analyse plus poussée dans ce domaine.Pour répondre à ce problème persistant, une série d'études expérimentales et numériques a été menée. Le volet expérimental a étudié la performance du renforcement sous des charges cycliques verticales et de circulation en testant deux GTX tissés avec deux rigidités de traction différentes et deux épaisseurs de plateformes granulaires. En parallèle à l'expérimentation, un modèle numérique couplant couplant la méthode des éléments discrets et la méthode des éléments finis (à l'aide du logiciel SDEC) a été utilisé. Ce modèle visait à mettre en évidence l'impact du GSY et des paramètres du sol sur le rôle du renforcement et à fournir des données sur des phénomènes difficiles à mesurer expérimentalement.Les plots expérimentaux sont formés d'une couche de sol de fondation avec un CBR d'environ 1 %, recouverte par une plateforme granulaire compactée d'une épaisseur de 300 mm ou 500 mm. Le GTX est placé à l'interface entre la couche de fondation et la couche de base. Les résultats ont montré que, sous des charges verticales cycliques, le GTX n’apportaient pas de gain d’efficacité des plateformes de 500 mm d’épaisseur. Pour une plateforme de 300 mm d’épaisseur, les deux GTXs ont réduit de manière significative le tassement par rapport à une plateforme non renforcée de la même épaisseur (300 mm) et à une plateforme plus épaisse (500 mm). L'amélioration la plus importante a été observée avec le GTX le plus rigide. Trois essais ont été réalisés avec une charge de trafic appliquée par le Simulateur Accélérateur de Trafic (SAT). Il a été démontré que la charge de circulation exerçait une plus grande déformation dans la plateforme par rapport à la charge verticale, mais il était difficile d'arriver à une conclusion définitive sur la comparaison entre une plateforme renforcée et non renforcée.Dans le modèle numérique, une loi de comportement (1D) a été intégrée prenant en compte les variations du module de réaction du sol pendant les phases de chargement et de déchargement ainsi qu’avec les cycles, et décrivant la transition d'un comportement plastique à un comportement quasi-élastique du sol compressible. Par ailleurs, la plateforme granulaire purement frottant a montré son incapacité à supporter la charge cyclique verticale appliquée sur une plaque circulaire placée au centre du modèle. Cette limitation « numérique » a nécessité l’ajout d’une cohésion entre les particules de sol. Une fois calibré, le modèle numérique s'est avéré capable de reproduire le comportement des plates-formes renforcées par GSYs sur sol mou au cours du premier cycle et au fur et à mesure des cycles. Initialement, les efforts de frottement dépassaient l'effet membrane, mais à mesure que la déflexion augmentait avec les cycles, l'effet membrane devenait plus important. En plus, une étude paramétrique sur la compressibilité de la couche de fondation, la rigidité du GSY, le frottement à l’interface sol granulaire-GTX et les paramètres mécaniques de la couche a permis de mettre en évidence l’influence de ces différents paramètres sur les mécanismes
Poor subgrade quality is a pervasive challenge in the construction of unpaved roads. Geosynthetics (GSYs) have emerged as innovative solutions since their initial usage in the late 1970s. Depending on the type of GSY employed, they can fulfil one or several roles, including separation, reinforcement by tensioned membrane effects, and stabilization by interlocking and/or friction at the soil-GSY interface. Few design methods exist in the literature to quantify these mechanisms, but they have limitations due to their calibration on specific GSY and soil parameters and, at times, under static rather than cyclic loading conditions. The various factors and parameters that influence the dominant mechanism and its corresponding contribution to platform enhancement underscore the necessity for further exploration in this area.To address this persistent issue, a series of experimental and numerical studies were conducted. The experimental part studied the performance of reinforcement under cyclic vertical and traffic loadings using two woven geotextiles (GTXs) with two different tensile stiffness and two base course thicknesses. Additionally, alongside the experimentation, a numerical model coupling the discrete element method and the finite element method (using Software-Defined Edge Computing) was employed. This model aimed to showcase the impact of GSY and soil parameters on reinforcement performance and provide insights into aspects challenging to measure through experimentation.The tested unpaved road sections are composed of a subgrade layer with a CBR around 1% covered by a compacted base course layer with thickness of 300 mm or 500 mm. The GTXs are placed at the interface between the subgrade and the base course layers. The results showed that the 500 mm base course reinforced platform did not exhibit reinforcement effects under vertical cyclic loading. However, the use of a 300 mm base course with GTX significantly reduced settlement compared to an unreinforced base course of the same thickness (300 mm) and to the thicker base course (500 mm). The most important improvement was observed with the highest-stiffness GTX. Moreover, three tests were performed under traffic loading applying by the Simulator Accelerator of Traffic (SAT). It was shown that traffic loading exerted greater deformation in the base course layer compared to vertical loading, but definitive conclusion can hardly be reached about the comparison between reinforced and unreinforced platform.In the numerical model, a behavioural law (1D) was integrated, considering the variation of the soil reaction modulus during loading and unloading phases and with cycles, and describing the transition of the soil from plastic to quasi-elastic behavior. In addition, the purely frictional base course layer revealed its incapacity to sustain the loading applied in the experimental. This inherent limitation prompted the incorporation of adhesion between soil particles to rectify this shortcoming in load-bearing capacity. Once calibrated the numerical model proved capable of accurately replicating the behavior of GTX-reinforced platforms in the first cycle and with cycles. It facilitated a quantification of the GTX friction effort and GTX tension effort with cycles. Initially, frictional forces outweighed the tensioned membrane effect, but as deflection increased with cycles, the latter became more prominent. This dynamic highlighted a diminishing dominance of the soil confinement mechanism with cycles, giving way to the increasing significance of the membrane effect. Furthermore, the subgrade softness, the GTX rigidity, the mattress-GTX interface parameters and the base course mechanical parameters influenced the behavior of the model
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Khoueiry, Nicole. « Study of granular platforms behaviour over soft subgrade reinforced by geosynthetics : Experimental and numerical approaches ». Thesis, Lyon, 2020. http://www.theses.fr/2020LYSEI027.

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Les géosynthétiques sont utilisés depuis les années 70 dans le renforcement des plateformes granulaires reposant sur des sols de faible portance pour des applications de routes non revêtues. La complexité des mécanismes développés et la diversité des produits de renforcement nécessitent encore d’étudier ces plateformes renforcées. Un essai au laboratoire permettant de tester des plateformes à échelle réelle a été développé. Une plateforme granulaire non revêtue reposant sur un sol de faible portance a été reproduite. Un protocole de mise en place de ce sol a été élaboré pour assurer son homogénéité et la répétabilité des essais. Une instrumentation spécifique a été développée pour collecter le maximum de mesures utiles pour l’interprétation du transfert de charge et du comportement des géogrilles utilisées. Trois types de géogrille ont été testées : une géogrille extrudée et deux géogrilles tricotées de rigidité différente. Après de nombreux essais de faisabilité, dix essais ont été effectués sous un chargement cyclique sur plaque circulaire, la plateforme testée a été placée dans un banc d’essai de 1,8 m de large, 1,9 m de long et 1,1 m de haut. Sur la base du même protocole de mise en œuvre, des essais de circulation avec un Simulateur Accélérateur de Traffic (SAT) ont été effectués. Ce simulateur a été spécifiquement conçu et construit pour cette application. Pour ces essais, la plateforme testée a été placée dans le banc d’essai allongé à 5 m. La plateforme a été soumise à deux types de sollicitations : un chargement cyclique sur plaque et un chargement de circulation. Des essais de répétabilité ont permis de vérifier le protocole mis en place. A partir des essais, plusieurs observations ont pu être faites sur le comportement des plateformes granulaires, le sol peu porteur, et sur l’efficacité du renforcement. De plus, ces essais ont permis de montrer que le chargement de circulation est beaucoup plus endommageant que le chargement sur plaque. Parallèlement à ces essais, un modèle numérique a été développé en se basant sur la méthode des différences finies avec le logiciel FLAC 3D. Cette modélisation a permis de prédire le comportement de la plateforme sous le premier chargement de plaque
Geosynthetics were used since 1970 in the base course reinforcement supported by soft subgrade in unpaved road application. The various factors and parameters influencing the dominant mechanism and its relative contribution on the platform improvement explain the need of more investigations in this topic. In this research work, large-scale laboratory test was developed to study the reinforcement contribution in the unpaved road improvement. Therefore, an unpaved platform was built of 600 mm of artificial subgrade supporting a base course layer. A detailed experimental Protocol was established regarding the soil preparation, the installation and the soils compaction procedure to reproduce the site conditions and insure the platform repeatability for each test. Three geosynthetics were tested first under a cyclic plate load test. Cyclic load was performed on the prepared platform, with a maximum load of 40 kN resulting in a maximum applied pressure of 560 kPa. The platform was subjected to 10,000 cycles with a frequency of 0.77 Hz. An advanced and complete soil instrumentation was provided in order to collect the maximum data needed for thorough analysis. Quality control tests were performed before each test to verify the soil layers homogeneity and properties. Two base course thicknesses were tested under this test condition, 350 and 220 mm. Once the developed protocol was confirmed under the circular plate load tests, further tests using the Simulator Accelerator of Traffic (SAT) were performed. Indeed, the laboratory prepared platform was placed in a larger box of 1.8 m in large, 5 m in length and 1.1 m in height. The prepared platform was subjected to two solicitations: a particular plate and traffic load. The Simulator Accelerator of Traffic was developed specially for this application. A machine that simulates the traffic load under an effective length of 2 m and a velocity of 4 km/h. The two areas were instrumented: the area under the circulation load, and the area under the plat load, located aside. In addition, a numerical model based on the differential element method using FLAC 3D was developed. The model simulated the circular plate load test with the same platform configuration under monotonic load. The results were compared to the first monotonic load applied on the rigid plate experimentally
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Su, Po-Yuan, et 蘇柏元. « A Mulit-Granular Environment-Modeling Simulation Platform for IoT End Devices ». Thesis, 2017. http://ndltd.ncl.edu.tw/handle/4te2ec.

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碩士
國立清華大學
資訊工程學系所
105
The development of Internet of Things (IoT) systems becomes difficult and time consuming. IoT simulation is desirable to provide a way to evaluate the system to save time and money. Current simulation tools only focus on the functional correctness but lack of execution information for design optimization. Particularly, it needs to identify the functions/objects in the original program that contain the executed instructions, which is essential in identifying bottlenecks. However, addition of the profiling ability slows down the simulation speed, it needs to support multiple simulation granularity at the functions/objects level to trade off simulation fidelity with simulation time. Furthermore, those tools also lack of supports for interactions with the environment. It needs to add environmental models in terms of time and location to dynamically inject environmental data to the simulated IoT devices. In this thesis, we present a multi-granular environment-modeling simulation platform for IoT end devices. We propose a source level profiling mechanism to allow generation of trace of executed instructions and link each executed instruction to the source level function. Our work is configurable to allow change of simulation granularity at the function level dynamically and support environmental modeling with external inputs to influence IoT simulation for the IoT end devices.
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« A Bio-Inspired Algorithm and Foldable Robot Platform for Collective Excavation ». Master's thesis, 2018. http://hdl.handle.net/2286/R.I.50513.

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abstract: Existing robotic excavation research has been primarily focused on lunar mining missions or simple traffic control in confined tunnels, however little work attempts to bring collective excavation into the realm of human infrastructure. This thesis explores a decentralized approach to excavation processes, where traffic laws are borrowed from swarms of fire ants (Solenopsis invicta) or termites (Coptotermes formosanus) to create decision rules for a swarm of robots working together and organizing effectively to create a desired final excavated pattern. First, a literature review of the behavioral rules of different types of insect colonies and the resulting structural patterns over the course of excavation was conducted. After identifying pertinent excavation laws, three different finite state machines were generated that relate to construction, search and rescue operations, and extraterrestrial exploration. After analyzing these finite state machines, it became apparent that they all shared a common controller. Then, agent-based NetLogo software was used to simulate a swarm of agents that run this controller, and a model for excavating behaviors and patterns was fit to the simulation data. This model predicts the tunnel shapes formed in the simulation as a function of the swarm size and a time delay, called the critical waiting period, in one of the state transitions. Thus, by controlling the individual agents' behavior, it was possible to control the structural outcomes of collective excavation in simulation. To create an experimental testbed that could be used to physically implement the controller, a small foldable robotic platform was developed, and it's capabilities were tested in granular media. In order to characterize the granular media, force experiments were conducted and parameters were measured for resistive forces during an excavation cycle. The final experiment verified the robot's ability to engage in excavation and deposition, and to determine whether or not to begin the critical waiting period. This testbed can be expanded with multiple robots to conduct small-scale experiments on collective excavation, such as further exploring the effects of the critical waiting period on the resulting excavation pattern. In addition, investigating other factors like tuning digging efficiency or deposition proximity could help to transition the proposed bio-inspired swarm excavation controllers to implementation in real-world applications.
Dissertation/Thesis
Masters Thesis Mechanical Engineering 2018
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Chapitres de livres sur le sujet "Granular platform"

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den Heuvel, Jeroen van, Jasmin Thurau, Martin Mendelin, Rik Schakenbos, Marcel van Ofwegen et Serge P. Hoogendoorn. « An Application of New Pedestrian Tracking Sensors for Evaluating Platform Safety Risks at Swiss and Dutch Train Stations ». Dans Traffic and Granular Flow '17, 277–86. Cham : Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-11440-4_31.

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Celeste, Edoardo, Nicola Palladino, Dennis Redeker et Kinfe Yilma. « Shaping Standards from Below : Insights from Civil Society ». Dans The Content Governance Dilemma, 61–92. Cham : Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-32924-1_4.

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AbstractThis chapter discusses how civil society groups are articulating rights and principles for the digital age through non-legally binding declarations, known as ‘Internet Bills of Rights’. These documents represent the ‘voice’ of communities that are seeking to redefine core constitutional principles in light of the challenges posed by digital society, resulting in a new form of ‘digital constitutionalism’. The chapter analyses 40 Internet Bills of Rights and their principles related to online content governance, including substantive and procedural standards, as well as ad hoc provisions specifically crafted to address social media platforms. These provisions aim to contextualise and adapt international human rights standards into more granular norms and rules to be implemented in the platform environment.
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Li, Yi, Dong Hu, Chuanwei Yin et Yingcan Qiu. « Fine Granular Parallel Algorithm for HEVC Encoding Based on Multicore Platform ». Dans Lecture Notes in Computer Science, 59–69. Cham : Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-34113-8_6.

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Daamen, Winnie, Jeroen van den Heuvel, Victor L. Knoop et Serge P. Hoogendoorn. « Macroscopic Fundamental Diagram for Train Platforms ». Dans Traffic and Granular Flow '17, 365–72. Cham : Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-11440-4_40.

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Dubreucq, T., L. Thorel, S. Lerat, A. Jagu et A. Neel. « 2D behavior of a granular platform above a soft soil reinforced by rigid inclusions and geogrid subjected to a rolling load traffic ». Dans Geosynthetics : Leading the Way to a Resilient Planet, 1047–52. London : CRC Press, 2023. http://dx.doi.org/10.1201/9781003386889-129.

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Kapranova, A. B., D. V. Stenko, D. D. Bahaeva, A. A. Vatagin et A. E. Lebedev. « Analysis of the Efficiency of the Rotary Method for Producing a Mixture of Granular Raw Materials in the Preparation of a Cyber-Physical Platform ». Dans Cyber-Physical Systems : Modelling and Industrial Application, 299–310. Cham : Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-95120-7_25.

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Thurau, Jasmin, Jeroen van den Heuvel, Nicolas Keusen, Marcel van Ofwegen et Serge P. Hoogendoorn. « Influence of Pedestrian Density on the Use of the Danger Zone at Platforms of Train Stations ». Dans Traffic and Granular Flow '17, 287–96. Cham : Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-11440-4_32.

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Tripathy, B. K. « Multi-Granular Computing through Rough Sets ». Dans Advances in Secure Computing, Internet Services, and Applications, 1–34. IGI Global, 2014. http://dx.doi.org/10.4018/978-1-4666-4940-8.ch001.

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Granular Computing has emerged as a framework in which information granules are represented and manipulated by intelligent systems. Granular Computing forms a unified conceptual and computing platform. Rough set theory put forth by Pawlak is based upon single equivalence relation taken at a time. Therefore, from a granular computing point of view, it is single granular computing. In 2006, Qiang et al. introduced a multi-granular computing using rough set, which was called optimistic multigranular rough sets after the introduction of another type of multigranular computing using rough sets called pessimistic multigranular rough sets being introduced by them in 2010. Since then, several properties of multigranulations have been studied. In addition, these basic notions on multigranular rough sets have been introduced. Some of these, called the Neighborhood-Based Multigranular Rough Sets (NMGRS) and the Covering-Based Multigranular Rough Sets (CBMGRS), have been added recently. In this chapter, the authors discuss all these topics on multigranular computing and suggest some problems for further study.
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Liu, Shengwei. « Can Algorithm Management Improve Platform Commitment Effectively?–Job Remaking in the Gig Economy ». Dans Frontiers in Artificial Intelligence and Applications. IOS Press, 2023. http://dx.doi.org/10.3233/faia230048.

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With the development of digital technology, gig economy has become a new form of quickly matching work tasks and labor force in digital scenarios. Based on 426 survey data, this paper finds that there is an inverted U-shaped relationship between algorithm management and platform commitment, and the relationship is mediated by advantage job remodeling and interest job remodeling. This study attempts to examine the impact of algorithmic management on platform commitment in the gig economy from a more comprehensive perspective, and to examine the dual mechanism of action in the new scenario of job reshaping theory from a more granular perspective.
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Bowles, Juliana, Thais Webber, Euan Blackledge et Andreas Vermeulen. « A Blockchain-Based Healthcare Platform for Secure Personalised Data Sharing ». Dans Studies in Health Technology and Informatics. IOS Press, 2021. http://dx.doi.org/10.3233/shti210150.

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To facilitate personalised healthcare provision across Europe, we envision solutions that enable the secure integration and sharing of medical health records. These solutions should address privacy concerns, such as granular access control to personal data, establishing what should be accessible when and by whom, whilst complying with collective regulatory frameworks such as the European General Data Protection Regulation (GDPR) and adhering to international standards on how to manage information security. The proposed healthcare system design integrates technologies such as blockchain and scalable data lakes with adequate system routines to guarantee the secure access of confidential data. In this paper, we present the essential architectural components for the secure integration of medical records in a blockchain-based platform. We present a patient-centric data retrieval approach which incorporates a structured format to compose access rules.
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Actes de conférences sur le sujet "Granular platform"

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Kulakova, Lina, Panagiotis Angelikopoulos, Panagiotis E. Hadjidoukas, Costas Papadimitriou et Petros Koumoutsakos. « Approximate Bayesian Computation for Granular and Molecular Dynamics Simulations ». Dans PASC '16 : Platform for Advanced Scientific Computing Conference. New York, NY, USA : ACM, 2016. http://dx.doi.org/10.1145/2929908.2929918.

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Apolloni, Bruno, Simone Bassis, Gian Luca Galliani et Lorenzo Valerio. « Wireless Domotic : An Enabling Platform for Granular Intelligence ». Dans 2010 5th International Conference on Future Information Technology. IEEE, 2010. http://dx.doi.org/10.1109/futuretech.2010.5482697.

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Ichikawa, Kohei, Katsutoshi Yada et Takashi Washio. « Development of Data Mining Platform MUSASHI Towards Service Computing ». Dans 2010 IEEE International Conference on Granular Computing (GrC-2010). IEEE, 2010. http://dx.doi.org/10.1109/grc.2010.168.

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Tode, Hideki, Kento Nishii et Yosuke Tanigawa. « A participating fine-granular cloud computing platform with in-network guidance ». Dans ICC 2014 - 2014 IEEE International Conference on Communications. IEEE, 2014. http://dx.doi.org/10.1109/icc.2014.6883950.

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Xie, Keming, Feng Zhan, Jingge Zhao et Gang Xie. « GrC and SDG-Based Fault Diagnosis System and its Simulation Platform ». Dans 2010 IEEE International Conference on Granular Computing (GrC-2010). IEEE, 2010. http://dx.doi.org/10.1109/grc.2010.10.

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Zheng, MK, et Jia-li Feng. « Blood Oxygen Monitoring Cloud Platform based on the Attribute Theory College of Information Engineering ». Dans 2012 IEEE International Conference on Granular Computing (GrC-2012). IEEE, 2012. http://dx.doi.org/10.1109/grc.2012.6468703.

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Wagner, C., B. Poppel et G. McKee. « Getting Granular with Proppant Logistics ». Dans SPE Hydraulic Fracturing Technology Conference and Exhibition. SPE, 2024. http://dx.doi.org/10.2118/217831-ms.

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Abstract Delivery of the proppant required for a hydraulic fracturing job can quickly become a weak link in operational excellence. New technology in the oil and gas industry has been hyper focused on well site efficiency but has missed out on the synergies that can be leveraged between proppant delivery and hydraulic fracturing operations. A new logistics solution was developed to take advantage of these synergies and support higher operational efficiency. The new proppant logistics solution was built on an established hydraulic fracturing field data collection platform. Driver and proppant load information was ingested into the new solution with a software program used to order the proppant loads to be delivered to the job. The combination of these two systems synergized the new solution and ensured the supply chain of products needed for a hydraulic fracturing job would not create a weak link in the chain of operational excellence. With the world still feeling impacts from the 2020 pandemic, worldwide shipping and logistics markets sank into a supply imbalance. This supply-demand disparity combined with the consistency of over-the-road trucking as compared with the historically volatile nature of proppant delivery, over-the-road trucking became very desirable for existing proppant delivery drivers. This paper will present a case study reviewing how a new software solution was built and implemented to facilitate rapid field data delivery and will also discuss how this solution was utilized to build out differential visual and predictive analysis tools to promote timely delivery of proppant needed at each fracturing location. After implementing the new solution, success was measured through the following observations. 90% decrease in proppant delivery downtime.35% decrease in drivers needed for a job, lowering the footprint of drivers on the road.Individual drivers delivered 20% more loads per day.33% decrease in total time required to deliver a load of proppant.Enhanced competitiveness among drivers lowering the cost to produce a barrel of oil. With this new solution, proppant logistics teams are now able to leverage intelligent solutions to help dispatch proppant so that operational excellence is maintained to the highest standard.
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Li, Yi, Dong Hu et Wenxiang Zhang. « Fine Granular Multilevel Parallel Algorithm for HEVC Decoding Based on Tilera-GX36 Multi-core Platform ». Dans the 3rd International Conference. New York, New York, USA : ACM Press, 2019. http://dx.doi.org/10.1145/3331453.3361646.

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Ice, Phil. « ADVANCING PLATFORM TECHNOLOGIES IN ONLINE LEARNING ». Dans eLSE 2013. Carol I National Defence University Publishing House, 2013. http://dx.doi.org/10.12753/2066-026x-13-100.

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Over the last decade, online learning has experienced year-over-year, double-digit growth, with one third of US based registrations currently being online. However, educational technology has not kept pace with technology in general. Current learning platforms do not have the robust media capabilities, mobile access options, or background analytics that are prevalent in the commercial sector. With over 120,000 online students, American Public University System (APUS) believed that enhancing the learning platform, in such a manner that it was commensurate with commercial offerings, should be paramount. In response to this challenge APUS integrated a commercial, Apache Sling based platform with the institutional ERP and data exchange components of Sakai ? the current LMS. They then constructed highly ordered taxonomies that leverage rich meta and para data to provide for object reusability. Finally, Omniture web analytics (Site Catalyst and Test and Target 1:1) were integrated into the system to provide granular views into student interactions and provide personalized learning experiences. This presentation will review the architecture of the system developed, with a focus on integrations with existing systems and modern functionality. In addition, mobile capabilities, offline functionality, and data derived from web analytics will be covered. The intent is to provide insight into what APUS believes will be a model for next generation platform technologies. Practical applications for how advanced learning technologies can allow for an increase in student to instructor ratios through personalized content provisioning. This in turn will allow for lower cost delivery of educational experiences to previously underserved students.
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Themistocleous, Charalambos. « Open Brain AI : An AI Research Platform ». Dans Huminfra Conference (HiC 2024). Linköping University Electronic Press, 2024. http://dx.doi.org/10.3384/ecp205001.

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Language assessment is pivotal in identifying therapeutic interventions for speech, language, and communication disorders stemming from neurogenic origins, developmental or acquired, and student performance in the classroom. Traditional assessment techniques, however, are predominantly manual, necessitating extensive time and effort for administration and scoring. Such procedures can exacerbate the stress experienced by patients. In response to these inherent challenges, we introduced Open Brain AI (https://openbrainai.com). This state-of-the-art computational platform leverages advanced AI methodologies, encompassing machine learning, natural language processing, large language models, and automated speech-to-text transcription. These capabilities enable Open Brain AI to autonomously analyze multilingual spoken and written language productions. This work aims to present the development and evolution of Open Brain AI, elucidating its AI-driven language processing components and the intricate linguistic metrics it employs to evaluate the overarching and granular discourse structures. Open Brain AI significantly reduces the workload on researchers, clinicians, and teachers by facilitating rapid and automated language analysis. It allows healthcare and education professionals to optimize their operational processes, reallocating precious time and resources to more personalized user interactions. Moreover, Open Brain AI provides clinicians, researchers, and educators the autonomy to undertake essential data analytics, freeing up more bandwidth to focus on other vital facets of therapeutic intervention and care.
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Rapports d'organisations sur le sujet "Granular platform"

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Cunha, Daniel, Giovana Craveiro et Marina Rossi. The Impact of the Creation of a Sovereign ESG Reference Yield Curve on Corporate ESG Bonds Issuances from Latin American and Caribbean. Inter-American Development Bank, mars 2024. http://dx.doi.org/10.18235/0012859.

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This paper explores a granular database from the Inter-American Development Bank (IDB) Green Bond Transparency Platform covering the issuance of 430 corporate and sovereign Environmental, Social, and Governance (ESG) bonds in Latin America and the Caribbean (LAC) that are outstanding in international markets. The goal was to investigate how the creation of a sovereign ESG reference yield curve can boost the private ESG bond market. Using a difference-in-differences (DID) approach, we empirically estimate that the creation of a sovereign ESG reference curve roughly leads to a 60 percent increase in the volume of corporate bond issuances and a 25 percent increase in the number of ESG corporate bond issuances in the external markets after three years. On the mechanisms, we argue that the sovereign ESG reference yield curve works as a benchmark for private sector ESG bond issuers by providing a standard against which the performance of ESG bonds can be measured.
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Waisner, Scott, Victor Medina, Charles Ellison, Jose Mattei-Sosa, John Brasher, Jacob Lalley et Christopher Griggs. Design, construction, and testing of the PFAS Effluent Treatment System (PETS), a mobile ion exchange–based system for the treatment of per-, poly-fluorinated alkyl substances (PFAS) contaminated water. Engineer Research and Development Center (U.S.), mars 2022. http://dx.doi.org/10.21079/11681/43823.

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Poly-,Per-fluorinated alkyl substances (PFAS) are versatile chemicals that were incorporated in a wide range of products. One of their most important use was in aqueous film-forming foams for fighting liquid fuel fires. PFAS compounds have recently been identified as potential environmental contaminants. In the United States there are hundreds of potential military sites with PFAS contamination. The ERDC designed and constructed a mobile treatment system to address small sites (250,000 gallons or less) and as a platform to field test new adsorptive media. The PFAS Effluent Treatment System (PETS) has cartridge filters to remove sediments and a granular activated carbon (GAC) media filter to remove organic compounds that might compete with PFAS in the ion exchange process, although it may also remove PFAS too. The last process is an ion exchange resin specifically designed to remove PFAS to a target level of 70 ng/L or less (equivalent to the US Environmental Protection Agency (EPA) Drinking Water Health Advisory). The system was tested at Hurlburt Field, a US Air Force facility in Florida and at Naval Support Activity (NSA) Mid-South in Millington, TN.
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Heide-Ottosen, Sif, Yahye Abdi, Abdullahi Ahmed Nor, James Khalil et Martine Zeuthen. Journeys through Extremism : The Experiences of Former Members of Al-Shabaab. RESOLVE Network, octobre 2022. http://dx.doi.org/10.37805/cbags2022.3.

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This research report applies the Attitudes-Behaviors Corrective (ABC) Model of Violent Extremism to map personal journeys in and out of al-Shabaab, the al-Qaeda affiliate operating in Somalia and the wider Horn of Africa. The ABC Model provides a framework through which to analyze individual trajectories in relation to sympathy for and actual involvement in violent extremism. The study was designed to deliver key insights for policy and practice by revealing the extent to which these journeys vary between respondents. The ABC Model was also designed as a platform through which to explore drivers of attitudinal and behavioral change, offering a granular understanding of the processes of joining and leaving the group. This report features the findings from interviews with thirteen ex-members of the group, including those from its intelligence agency (the Amniyat), military wing (the Jabhat), and police force (the Hizbah), as well as drivers, teachers, and others in support roles. These findings provide important considerations for the design of interventions to prevent further involvement and to facilitate disengagements from the group, including recommendations for communications campaigns, rehabilitation services, and the relevance of territorial control.
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