Relevant bibliographies by topics / Bio-modelling

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Bio-modelling'

Author: Grafiati
Published: 16 March 2023

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Journal articles on the topic "Bio-modelling"

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Davia, Miguel, Antonio Jimeno-Morenilla, and Faustino Salas. "Footwear bio-modelling: An industrial approach." Computer-Aided Design 45, no. 12 (December 2013): 1575–90. http://dx.doi.org/10.1016/j.cad.2013.08.006.

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Ciocchetta, Federica, and Maria Luisa Guerriero. "Modelling Biological Compartments in Bio-PEPA." Electronic Notes in Theoretical Computer Science 227 (January 2009): 77–95. http://dx.doi.org/10.1016/j.entcs.2008.12.105.

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Wodołażski, Artur, and Adam Smoliński. "Bio-Hydrogen Production in Packed Bed Continuous Plug Flow Reactor—CFD-Multiphase Modelling." Processes 10, no. 10 (September 20, 2022): 1907. http://dx.doi.org/10.3390/pr10101907.

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This research study investigates the modelling and simulation of biomass anaerobic dark fermentation in bio-hydrogen production in a continuous plug flow reactor. A CFD multiphase full transient model in long-term horizons was adopted to model dark fermentation biohydrogen production in continuous mode. Both the continuous discharge of biomass, which prevents the accumulation of solid parts, and the recirculation of the liquid phase ensure constant access to the nutrient solution. The effect of the hydraulic retention time (HRT), pH and the feed rate on the bio-hydrogen yield and production rates were examined in the simulation stage. Metabolite proportions (VFA: acetic, propionic, butyric) constitute important parameters influencing the bio-hydrogen production efficiency. The model of substrate inhibition on bio-hydrogen production from glucose by attached cells of the microorganism T. neapolitana applied to the modelling of the kinetics of bio-hydrogen production was used. The modelling and simulation of a continuous plug flow (bio)reactor in biohydrogen production is an important part of the process design, modelling and optimization of the biological H2 production pathway.
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Urama, K. C., C. F. Dilks, S. M. Dunn, and R. C. Ferrier. "Socio-economic and bio-physical modelling of diffuse pollution: closing the gaps." River Systems 17, no. 1-2 (July 28, 2006): 175–99. http://dx.doi.org/10.1127/lr/17/2006/175.

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Ogundele, O. S., B. K. Alese, and O. O. Mathew. "A Bio-Inspired Concept for Information Security Modelling." International Journal of Green Computing 1, no. 1 (January 2010): 53–67. http://dx.doi.org/10.4018/jgc.2010010106.

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Bio-inspired models for information security were designed to demonstrate the performances by which biology achieves security. Existing research focuses on borrowing partial ideas from biological systems to resolve some facet of information security in a network environment, such as intrusion detection and fault tolerance. This work uses the bio-inspired concept of the body system to demonstrate an information security model that makes use of the immune system. The white blood cells (leucocytes) produce the antibodies (lymphocyte) that fight against all antigens (foreign materials) and kill them. The skin layer of the body contains keratin that prevents microorganisms from penetrating the body. The authors relate the processes in biological systems to information security using mechanisms of the immune system in molecular biology as the key paradigm. Theory of set and algebra were used to describe the relationship between the immune system and the information security model. A simple simulator was developed to demonstrate the operation of the designed bio-inspired model. Although the simulator was tested with assumed data, the work offered insight into how the immune system of biology can be adapted to design and implement a more secure information security system.
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Nasir, Arooj, Dumitru Baleanu, Ali Raza, Pervez Anwar, Nauman Ahmed, Muhammad Rafiq, and Tahir Nawaz Cheema. "Bio-Inspired Modelling of Disease Through Delayed Strategies." Computers, Materials & Continua 73, no. 3 (2022): 5717–34. http://dx.doi.org/10.32604/cmc.2022.031879.

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Kabbej, Marouane, Valérie Guillard, Hélène Angellier-Coussy, Caroline Wolf, Nathalie Gontard, and Sébastien Gaucel. "3D Modelling of Mass Transfer into Bio-Composite." Polymers 13, no. 14 (July 9, 2021): 2257. http://dx.doi.org/10.3390/polym13142257.

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A three-dimensional model structure that allows considering interphase layer around permeable inclusions is developed to predict water vapor permeability in composite materials made of a matrix Poly(3-HydroxyButyrate-co-3-HydroxyValerate) (PHBV) including Wheat Straw Fiber (WSF) particles. About 500 two-phase structures corresponding to composites of different particles volume fractions (5.14−11.4−19.52 % v/v) generated using experimental particles’ size distribution have permitted to capture all the variability of the experimental material. These structures have served as a basis to create three-phase structures including interphase zone of altered polymer property surrounding each particle. Finite Element Method (FEM) applied on these structures has permitted to calculate the relative permeability (ratio between composite and neat matrix permeability P/Pm). The numerical results of the two-phase model are consistent with the experimental data for volume fraction lower than 11.4 %v/v but the large upturn of the experimental relative permeability for highest volume fraction is not well represented by the two-phase model. Among hypothesis made to explain model’s deviation, the presence of an interphase with its own transfer properties is numerically tested: numerical exploration made with the three-phase model proves that an interphase of 5 µm thick, with diffusivity of Di≥1×10−10 m2·s−1, would explain the large upturn of permeability at high volume fraction.
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Lawrance, Ani, Mani Veera Santhoshi Gollapalli, S. Savithri, Ajit Haridas, and A. Arunagiri. "Modelling and simulation of food waste bio-drying." Chemosphere 294 (May 2022): 133711. http://dx.doi.org/10.1016/j.chemosphere.2022.133711.

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Kumar, Y. Ravi. "Bio-Modelling Using Rapid Prototyping by Fused Deposition." Advanced Materials Research 488-489 (March 2012): 1021–25. http://dx.doi.org/10.4028/www.scientific.net/amr.488-489.1021.

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This work deals with planning the dental surgery by making bio-model of the jaw of the patient using rapid prototyping (RP) technique called fused deposition modelling (FDM). The bio-model is not only increasing the safety of dental surgery but also aiding diagnosis and treatment planning. Having an exact model of the patient’s jaw in hand would enable a surgeon to plan the surgery more precisely, as compared to one which is planned using 2D images obtained from CT scan, magnetic resonance imaging (MRI) or X-ray. A mock surgery has been performed on the bio-model by making holes using drill bits of the same size and material as the ones used in an actual surgery and after that the implants were placed and screwed into the holes drilled to secure their positions. This drill has been given the surgeon an exact idea of size of the implant and the orientation in which the implant has to be placed and also depth up to which the hole has to be drilled in order to avoid the damage of the Inferior Alveolar Canal.
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Demongeot, Jacques, Florence Thuderoz, Thierry Pascal Baum, François Berger, and Olivier Cohen. "Bio-array images processing and genetic networks modelling." Comptes Rendus Biologies 326, no. 5 (May 2003): 487–500. http://dx.doi.org/10.1016/s1631-0691(03)00114-8.

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Dissertations / Theses on the topic "Bio-modelling"

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Cousin, Thibault. "Synthesis and molecular modelling of bio-based polyamides." Phd thesis, INSA de Lyon, 2013. http://tel.archives-ouvertes.fr/tel-00952848.

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In the current context of oil resources rarefaction, the development of biobased polymers is of major importance. The present work focused on the development of a biobased amorphous polyphthalamide, based on furan-2,5-dicarboxylic acid. The first part of the study was devoted to the development of a molecular modelling protocol that could calculate the glass transition temperature of polyphthalamides with accuracy. In order to do this, model polyphthalamides based on isophthalic, terephthalic acid and hexamethylene diamine were synthesized and characterized as well as simulated. By comparison between simulated and measured Tg, the protocol was validated. In a second part of the study, this protocol was applied to FDCA based polyphthalamides. These PPA were also synthesized. It was found that the PA 6-F undertakes a decarboxylation, preventing it from reaching high a molar mass. It was also found that the mechanical and thermal properties decrease as the amount of FDCA in the copolymers increases.
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Moscardo, Marco <1989&gt. "Modelling trophic network with PEPA and Bio-PEPA." Master's Degree Thesis, Università Ca' Foscari Venezia, 2015. http://hdl.handle.net/10579/5973.

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The thesis focuses on some attemps to model trophic networks using two different stochastic process algebras: PEPA and Bio-PEPA. In the first part we introduce all the main concepts on trophic networks and the process algebras used in the thesis. In the second part we apply PEPA and Bio-PEPA first to a toy example of trophic network and then to a real trophic network. We discuss the problems arised during the modelling and we compare the solutions we obtained. Bio-PEPA seems to permit a better modelling, better analysis of the flow of biomass and better analysis about the variation of the population of the species.
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Dennison, Catherine Lindsay. "Modelling and monitoring of a Herhof bio-degradation system." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1998. http://www.collectionscanada.ca/obj/s4/f2/dsk2/tape17/PQDD_0007/MQ33218.pdf.

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Bermudez, Contreras Edgar. "Modelling active bio-inspired object recognition in autonomous mobile agents." Thesis, University of Sussex, 2010. http://sro.sussex.ac.uk/id/eprint/2364/.

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Object recognition is arguably one of the main tasks carried out by the visual cortex. This task has been studied for decades and is one of the main topics being investigated in the computer vision field. While vertebrates perform this task with exceptional reliability and in very short amounts of time, the visual processes involved are still not completely understood. Considering the desirable properties of the visual systems in nature, many models have been proposed to not only match their performance in object recognition tasks, but also to study and understand the object recognition processes in the brain. One important point most of the classical models have failed to consider when modelling object recognition is the fact that all the visual systems in nature are active. Active object recognition opens different perspectives in contrast with the classical isolated way of modelling neural processes such as the exploitation of the body to aid the perceptual processes. Biologically inspired models are a good alternative to study embodied object recognition since animals are a working example that demonstrates that object recognition can be performed with great efficiency in an active manner. In this thesis I study biologically inspired models for object recognition from an active perspective. I demonstrate that by considering the problem of object recognition from this perspective, the computational complexity present in some of the classical models of object recognition can be reduced. In particular, chapter 3 compares a simple V1-like model (RBF model) with a complex hierarchical model (HMAX model) under certain conditions which make the RBF model perform as the HMAX model when using a simple attentional mechanism. Additionally, I compare the RBF and HMAX model with some other visual systems using well-known object libraries. This comparison demonstrates that the performance of the implementations of the RBF and HMAX models employed in this thesis is similar to the performance of other state-of-the-art visual systems. In chapter 4, I study the role of sensors in the neural dynamics of controllers and the behaviour of simulated agents. I also show how to employ an Evolutionary Robotics approach to study autonomous mobile agents performing visually guided tasks. In addition, in chapter 5 I investigate whether the variation in the visual information, which is determined by simple movements of an agent, can impact the performance of the RBF and HMAX models. In chapter 6 I investigate the impact of several movement strategies in the recognition performance of the models. In particular I study the impact of the variation in visual information using different movement strategies to collect training views. In addition, I show that temporal information can be exploited to improve the object recognition performance using movement strategies. In chapter 7 experiments to study the exploitation of movement and temporal information are carried out in a real world scenario using a robot. These experiments validate the results obtained in simulations in the previous chapters. Finally, in chapter 8 I show that by exploiting regularities in the visual input imposed by movement in the selection of training views, the complexity of the RBF model can be reduced in a real robot. The approach of this work proposes to gradually increase the complexity of the processes involved in active object recognition, from studying the role of moving the focus of attention while comparing object recognition models in static tasks, to analysing the exploitation of an active approach in the selection of training views for a object recognition task in a real world robot.
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Grimaud, Christel. "Logical modelling of reasoning and learning : a bio-inspired approach." Thesis, Lille 3, 2016. http://www.theses.fr/2016LIL30026/document.

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Dans ce mémoire, on s’inspire des sciences cognitives pour aborder la question de la modélisation logique du raisonnement et de l’apprentissage. Notre principale conviction est qu’il faudrait, pour traiter ce problème, prendre modèle sur la manière dont les agents naturels (c’est à dire les humains et les animaux) procèdent lorsqu’ils raisonnent ou apprennent. Considérant que le raisonnement fait appel à un grand nombre de facultés cognitives distinctes, et qu’il ne serait donc pas raisonnable d’espérer modéliser d’un seul coup l’ensemble du raisonnement humain, on se concentre ici sur un type d’inférences très simples dont on soutient qu’elles constituent le coeur du raisonnement chez tous les animaux à cerveau. On identifie un processus sous-jacent plausible pour ces inférences, d’abord au niveau mental de description, puis au niveau neuronal, et on développe une famille de modèles logiques permettant de le simuler. On s’attache ensuite à produire un ensemble de règles d’inférence caractérisant les relations d’inférence induites par ces modèles. Ces règles résultent du processus suggéré, et doivent donc être vues comme des règles qui, d’après le modèle, émergent fonctionnement des cerveaux. Enfin, on analyse les processus d’apprentissage attachés aux inférences considérées, et on montre comment le formalisme proposé permet de les modéliser. Pour conclure on évoque brièvement les possibles développements futurs du modèle, et notamment on donne quelques indications quant à la manière dont la modélisation d’un certain nombre de facultés additionnelles pourrait être envisagée
In this dissertation, we take inspiration in cognitive sciences to address the issue of the logical modelling of reasoning and learning. Our main thrust is that to address these issues one should take inspiration in the way natural agents (i.e., humans and animals) actually proceed when they draw inferences and learn. Considering that reasoning incorporates a wide range of cognitive abilities, and that it would thus be unreasonable to hope to model the whole of human’s reasoning all at once, we focus here on a very basic kind of inferences that, we argue, can be considered as the primary core of reasoning in all brained animals. We identify a plausible underlying process for these inferences, first at the mental level of description and then at the neural level, and we develop a family of logical models that allow to simulate it. Then we tackle the issue of providing sets of rules to characterise the inference relations induced by these models. These rules are a by-product of the posited process, and should thus be seen as rules that, according to the model, result from the very functioning of brains. Finally we examine the learning processes attached to the considered inferences, and we show how to they can be modelled within our framework. To conclude we briefly discuss possible further developments of the framework, and in particular we give indications about how the modelling of some other cognitive abilities might be envisioned
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Shirinskaya, Anna. "Physical modelling of bio sensors based on Organic Electrochemical Transistors." Thesis, Université Paris-Saclay (ComUE), 2017. http://www.theses.fr/2017SACLX055/document.

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Les Transistors Organiques Electrochimiques (OECT) sont largement utilisés comme les capteurs dans de nombreux appareils bioélectroniques. Bien qu’ils aient été largement étudiés au cours de ces dernières années, il n'y a pas encore de compréhension fondamentale et univoque principe de fonctionnement d'un OECT, notamment en ce qui concerne le mécanisme du dé-dopage.Cette thèse est consacrée à la modélisation des Transistors Organiques Electrochimiques. Tout d'abord, un modèle d'état stationnaire numérique a été établi. Ce modèle utilisant les équations de Poisson-Boltzmann, Nernst-Planck et Nernst, nous permet de décrire finement le processus du dé-dopage dans la couche de PEDOT: PSS ainsi que, la distribution des ions et trous dans le capteur. Il a été prouvé expérimentalement que le modèle numérique dit de « neutralité global » est valable pour expliciter le fonctionnement global du capteur, mais aussi, l'origine et le résultat du processus du dé-dopage. La transition d’un modèle totalement numérique à un modèle analytique a été réalisée en ajustant la fonction analytique logistique paramétrique de Boltzmann au profil de conductivité calculé numériquement.Nous avons pu ainsi extraire, la fonction analytique de la dépendance du courant de drain en Fonction du potentiel local. Cette fonction ajuster sur un profil de courant de drain mesuré expérimentalement en fonction du potentiel appliqué permet d'obtenir la conductivité maximale d'une couche de PEDOT: PSS entièrement dopée. La conductivité maximale était dépendante non seulement du matériau, mais aussi de la taille du canal. Il est possible d'extraire, en utilisant la valeur de conductivité maximale et un modèle de semi-conducteur conventionnel, les autres paramètres pour la description complète d’OECT: densité intrinsèque de charge, densité de trous initiaux, concentration initiale de PSS- et capacité volumétrique de la couche polymère conductrice. Le fait d'avoir un outil permettant d'extraire et de caractériser facilement tous les OECT permet non seulement d'augmenter le niveau de description de compréhension du transistor, mais surtout de mieux maitriser la corrélation entre paramètres internes et externes.Finalement, l’approche que nous avons réalisée, couplant modélisation analytique et numérique, nous a permis de proposer une description complète du fonctionnement physique d’un OECT. En outre nous avons pu valider expérimentalement la pertinence de nos modèles en les comparants avec les caractéristiques obtenues via des mesures réelles
Organic Electrochemical Transistors are widely used as transducers for sensors in bioelectronics devices. Although these devices have been extensively studied in the last years, there is a lack of fundamental understanding of their working mechanism, especially concerning the de-doping mechanism.This thesis is dedicated to Organic Electrochemical Transistors modelling. First of all, a numerical steady state model was established. This model allows implementing the Poisson-Boltzmann, Nernst-Planck and Nernst equations to describe the de-doping process in the conductive PEDOT:PSS layer, and ions and holes distribution in the device. Two numerical models were proposed. In the first, Local Neutrality model, the assumption of electrolyte ions trapping in PEDOT:PSS layer was taken into consideration, thus the local neutrality was preserved. In the second model the ions were allowed to move freely under applied electric field inside conductive polymer layer, thus only global electroneutrality was kept. It was experimentally proven that the Global Neutrality numerical model is valid to explain the global physics of the device, the origin and the result of the de-doping process. The transition from totally numerical model to analytical model was performed by fitting the parametric analytical Boltzmann logistic function to numerically calculated conductivity profiles. As a result, an analytical equation for the Drain current dependence on applied voltage was derived. By fitting this equation to experimentally measured Drain current- applied voltage profiles, we could obtain the maximum conductivity of a fully doped PEDOT:PSS layer. The maximum conductivity is shown to be dependent not only on the material, but also on device channel size. Using the maximum conductivity value together with the Conventional Semiconductor model it is possible to extract the other parameters for the full description of the OECT: intrinsic charge carrier density, initial holes density, initial PSS- concentration and conductive polymer layer volumetric capacitance. Having a tool to make easy parameters extraction and characterization of any OECT, permits not only to increase the level of device description, but most importantly to highlight the correlation between external and internal device parameters.Finally it is shown how to make the whole description of the real OECT device, all the models were validated by fitting the modeled and experimentally measured data profiles.As a result, not only the purely theoretical model was presented in this thesis to describe the device physics, but also the prominent step was made on simple real device characterization
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Smith, David Everett. "Modelling and controlling a bio-inspired flapping-wing micro aerial vehicle." Thesis, Georgia Institute of Technology, 2012. http://hdl.handle.net/1853/43577.

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The objective of this research is to verify the three degree of freedom capabilities of a bio-inspired quad flapping-wing micro aerial vehicle in simulation and in hardware. The simulation employs a nonlinear plant model and input-output feedback linearization controller to verify the three degree of freedom capabilities of the vehicle. The hardware is a carbon fiber test bench with four flapping wings and an embedded avionics system which is controlled via a PD linear controller. Verification of the three degree of freedom capabilities of the quad flapping-wing concept is achieved by analyzing the response of both the simulation and test bench to pitch, roll, and yaw attitude commands.
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Wall, Julie. "Post-cochlear auditory modelling for sound localisation using bio-inspired techniques." Thesis, Ulster University, 2010. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.525140.

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This thesis presents spiking neural architectures which simulate the sound localisation capability of the mammalian auditory pathways. This localisation ability is achieved by exploiting important differences in the sound stimulus received by each ear, known as binaural cues. Interaural time difference and interaural intensity difference are the two binaural cues which play the most significant role in mammalian sound localisation. These cues are processed by different regions within the auditory pathways and enable the localisation of sounds at different frequency ranges; interaural time difference is used to localise low frequency sounds whereas interaural intensity difference localises high frequency sounds. Interaural time difference refers to the different points in time at which a sound from a single location arrives at each ear and interaural intensity difference refers to the difference in sound pressure levels of the sound at each ear, measured in decibels. Taking inspiration from the mammalian brain, two spiking neural network topologies were designed to extract each of these cues. The architecture of the spiking neural network designed to process the interaural time difference cue was inspired by the medial superior olive. The lateral superior olive was the inspiration for the architecture designed to process the interaural intensity difference cue. The development of these spiking neural network architectures required the integration of other biological models, such as an auditory periphery (cochlea) model, models of bushy cells and the medial nucleus of the trapezoid body, leaky integrate and fire spiking neurons, facilitating synapses, receptive fields and the appropriate use of excitatory and inhibitory neurons. Two biologically inspired learning algorithms were used to train the architectures to perform sound localisation. Experimentally derived HRTF acoustical data from adult domestic cats was employed to validate the localisation ability of the two architectures. The localisation abilities of the two models are comparable to other computational techniques employed in the literature. The experimental results demonstrate that the two SNN models behave in a similar way to the mammalian auditory system, i.e. the spiking neural network for interaural time difference extraction performs best when it is localising low frequency data, and the interaural intensity difference spiking neuron model performs best when it is localising high frequency data. Thus, the combined models form a duplex system of sound localisation. Additionally, both spiking neural network architectures show a high degree of robustness when the HRTF acoustical data is corrupted by noise.
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Ramraj, Anitha. "Computational modelling of intermolecular interactions in bio, organic and nano molecules." Thesis, University of Manchester, 2011. https://www.research.manchester.ac.uk/portal/en/theses/computational-modelling-of-intermolecular-interactions-in-bio-organic-and-nano-molecules(7a41f3cd-1847-4ccf-8853-5fd8be2a2c15).html.

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We have investigated the noncovalent interactions in carbohydrate-aromatic interactions which are pivotal to the recognition of carbohydrates in proteins. We have employed quantum mechanical methods to study carbohydrate-aromatic complexes. Due to the importance of dispersion contribution to the interaction energy, we mainly use density functional theory augmented with an empirical correction for the dispersion interactions (DFT-D). We have validated this method with a limited number of high level ab initio calculations. We have also analysed the vibrational and NMR chemical shift characteristics using the DFT-D method. We have mainly studied the complexes involving β-glucose with 3-methylindole and p-hydroxytoluene, which are analogues of tryptophan and tyrosine, respectively. We find that the contribution for interaction energy mainly comes from CH/π and OH/π interactions. We find that the interaction energy of complexes involving CH/π and OH/π interactions is reflected in the associated blue and red shifts of vibrational spectrum. We also find that the interactions involving 3-methylindole are somewhat greater than those for p-hydroxytoluene. The C-H blueshifts are also in parallel with the predicted NMR proton shift. We have also tested different density functionals including both standard density functionals and newly developed M0x functionals and MP2 method for studying carbohydrate-aromatic complexes. The DFT-D method and M06 functionals of the M0x family are found to perform better, while B3LYP and BLYP functionals perform poorly. We find that the inclusion of a dispersion term to BLYP is found to perform better. The dispersion energy dominates over the interaction energy of carbohydrate-aromatic complexes. From the DFT-D calculations, we found that the complexes would be unstable without the contribution from dispersive energy. We have also studied the importance of noncovalent interactions in functionalization of nanotubes by nucleic acid bases and aromatic amino acids by using semi-empirical methods with dispersion term such asPM3-D and PM3-D*. We find that the both semi-empirical schemes give reasonable interaction energies with respect to DFT-D interaction energies. We have also used PM3-D method to study the adsorption of organic pollutants on graphene sheet and on nanotubes. We found that the semi-empirical schemes, which are faster and cheaper, are suitable to study these larger molecules involving noncovalent interactions and can be used as an alternative to DFT-D method. We have also studied the importance of dispersion interaction and the effect of steric hindrance in aggregation of functionalized anthracenes and pentacenes. We have also employed molecular dynamics simulation methods to study the aggregation of anthracene molecules in toluene solution.
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Buoso, Stefano. "High-fidelity modelling and feedback control of bio-inspired membrane wings." Thesis, Imperial College London, 2015. http://hdl.handle.net/10044/1/32832.

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This work is a numerical investigation on the performance of integrally actuated two-dimensional membrane wings made with dielectric elastomers. A high-fidelity model based on the direct numerical integration of the unsteady Navier-Stokes equations is coupled with a geometrically non-linear structural model. The rate-dependent constitutive law for the dielectric elastomer is based on a non-linear formulation, and it has been validated against experimental data. In addition, the implementation of the aeroelastic framework has been verified against the relevant literature for the low-Reynolds number flows investigated in this dissertation. Numerical simulations of the open-loop dynamics of the actuated membrane, in good agreement with experimental observations, show that integral actuation offers enough authority in the control of the wing aerodynamic performance. Dielectric elastomers can then be used as embedded actuators, coupling the advantages of passive membranes with a simple and lightweight control mechanism. Further, this work also proposes a model-reduction methodology for the fully coupled system to aid control system design. The low-order description of the actuated system can capture the main system dynamics, and can be used for the design of the control scheme of the wing. Proportional-Integral-Derivative and Linear Quadratic Gaussian feedback controllers, designed using the reduced-order model, are finally implemented in the high-fidelity model for the rejection of flow disturbances. Results show that the wing aerodynamic performance is noticeably enhanced through the actuation as the disturbances on the lift in case of gusts can be reduced up to 60%.
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Books on the topic "Bio-modelling"

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Basualdo, Marta S., Rachid Outbib, and Diego Feroldi. PEM fuel cells with bio-fuel processor systems: A multidisciplinar study of modelling, simulation, fault diagnosis and advanced control. London: Springer, 2010.

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J, Naidoo Kevin, and Royal Society of Chemistry (Great Britain), eds. Modelling molecular structure and reactivity in biological systems. Cambridge: Royal Society of Chemistry, 2006.

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Climate under cover: Digital dynamic simulation in plant bio-engineering. Dordrecht: Kluwer Academic Publishers, 1993.

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Human Modelling for Bio-Inspired Robotics. Elsevier, 2017. http://dx.doi.org/10.1016/c2014-0-02964-4.

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Mishra, Deepak R., Igor Ogashawara, and Anatoly Abraham Gitelson. Bio-Optical Modelling and Remote Sensing of Inland Waters. Elsevier Science & Technology Books, 2017.

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Ueda, Jun, and Yuichi Kurita. Human Modelling for Bio-Inspired Robotics: Mechanical Engineering in Assistive Technologies. Elsevier Science & Technology Books, 2016.

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Boon, Mieke. Theoretical and experimental methods in the modelling of bio-oxidation kinetics of sulphide Minerals. Mieke Boon, 1996.

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Basualdo, Marta S., Rachid Outbib, and Diego Feroldi. PEM Fuel Cells with Bio-Ethanol Processor Systems: A Multidisciplinary Study of Modelling, Simulation, Fault Diagnosis and Advanced Control. Springer, 2013.

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ASME. Print Proceedings of the ASME 2016 Conference on Smart Materials, Adaptive Structures and Intelligent Systems Volume 2: Modelling, Simulation and Control; Bio-Inspired Smart Materials and Systems; Energy Harvesting. American Society of Mechanical Engineers, The, 2016.

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Takakura, Tadashi. Climate Under Cover: Digital Dynamic Simulation in Plant Bio-Engineering. Springer, 1993.

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Book chapters on the topic "Bio-modelling"

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Chhatre, Sunil. "Modelling Approaches for Bio-Manufacturing Operations." In Advances in Biochemical Engineering/Biotechnology, 85–107. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/10_2012_170.

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Tang, Dunbing, Lei Wang, Wenbin Gu, Weidong Yuan, and Dingshan Tang. "Modelling of Bio-inspired Manufacturing System." In Advances in Intelligent and Soft Computing, 1165–74. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-10430-5_89.

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Gheorghe, Marian, Ioanna Stamatopoulou, Mike Holcombe, and Petros Kefalas. "Modelling Dynamically Organised Colonies of Bio-entities." In Lecture Notes in Computer Science, 207–24. Berlin, Heidelberg: Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11527800_17.

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Massink, Mieke, Diego Latella, Andrea Bracciali, and Jane Hillston. "Modelling Non-linear Crowd Dynamics in Bio-PEPA." In Fundamental Approaches to Software Engineering, 96–110. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-19811-3_8.

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Fass, Didier, and Franck Gechter. "Towards a Theory for Bio $$-$$ - Cyber Physical Systems Modelling." In Digital Human Modeling. Applications in Health, Safety, Ergonomics and Risk Management: Human Modeling, 245–55. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-21073-5_25.

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Warby, Michael K., and John R. Whiteman. "Modelling of Thermoforming Processes for Bio-Degradable Thermoplastic Materials." In UK Success Stories in Industrial Mathematics, 205–10. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-25454-8_26.

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Patra, Asesh, Meet Patel, Priyabrata Chattopadhyay, Anubhab Majumder, and Sanjoy Kumar Ghoshal. "A Bio-inspired Climbing Robot: Dynamic Modelling and Prototype Development." In Lecture Notes in Mechanical Engineering, 191–209. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-1071-7_17.

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Sivagnanamani, G. S., P. Ramesh, Mohit Hemanth Kumar, and V. Arul Mozhi Selvan. "Fracture Analysis of Fused Deposition Modelling of Bio-composite Filaments." In Fracture Failure Analysis of Fiber Reinforced Polymer Matrix Composites, 71–84. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-0642-7_4.

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Mavelli, Fabio, Emiliano Altamura, and Pasquale Stano. "Giant Vesicles as Compartmentalized Bio-reactors: A 3D Modelling Approach." In Communications in Computer and Information Science, 184–96. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-32695-5_17.

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Li, Cai, Robert Lowe, and Tom Ziemke. "Modelling Walking Behaviors Based on CPGs: A Simplified Bio-inspired Architecture." In From Animals to Animats 12, 156–66. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-33093-3_16.

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Conference papers on the topic "Bio-modelling"

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Massey, Roslyn, Rana Amache, Siziwe Bebe, and Ravi Prakash. "A Comprehensive Modelling Approach for Bio-EDLC systems." In 2020 IEEE SENSORS. IEEE, 2020. http://dx.doi.org/10.1109/sensors47125.2020.9278742.

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"Modelling volatility spillovers for bio-ethanol, sugarcane and corn." In 21st International Congress on Modelling and Simulation (MODSIM2015). Modelling and Simulation Society of Australia and New Zealand, 2015. http://dx.doi.org/10.36334/modsim.2015.e3.chang.

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Tietz, U., C. C. Berndt, and K. P. Schmitz. "Microstructural Modelling and Performance Simulation of Engineered Bio-Composites." In ITSC2010, edited by B. R. Marple, A. Agarwal, M. M. Hyland, Y. C. Lau, C. J. Li, R. S. Lima, and G. Montavon. DVS Media GmbH, 2010. http://dx.doi.org/10.31399/asm.cp.itsc2010p0516.

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Abstract A primary goal in modern orthopaedics is increasing the rate and long-lasting anchoring of implants in the human body. Hydroxyapatite, having a chemical structure and chemistry that is identical to bone, significantly enhances the on growth and subsequent ingrowth of natural bone material. Nevertheless some aspects of the performance of hydroxyapatite coatings have not been investigated sufficiently; for example the in vivo, long-term behaviour of the material, including the time-dependent dissolution accompanied by changes of mechanical properties have been poorly documented. The current study creates an idealized, virtual microstructural coating model that examines the time-dependent behaviour and properties of hydroxyapatite coatings. The analyses examine time vs. dissolution dependencies that reflect in vivo behaviour.
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Vasiliadou, Ioanna A., Dimitris V. Vayenas, Constantinos V. Chrysikopoulos, Theodore E. Simos, George Psihoyios, Ch Tsitouras, and Zacharias Anastassi. "Mathematical Modelling of Bacterial Populations in Bio-remediation Processes." In NUMERICAL ANALYSIS AND APPLIED MATHEMATICS ICNAAM 2011: International Conference on Numerical Analysis and Applied Mathematics. AIP, 2011. http://dx.doi.org/10.1063/1.3637898.

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Keskin, Ali Umit, and Feride Sermin Utku. "Rheological Modelling of Bio-fluids Using Moving Coil Transducers." In The 2nd World Congress on Electrical Engineering and Computer Systems and Science. Avestia Publishing, 2016. http://dx.doi.org/10.11159/icbes16.132.

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Lisnichenko, Marina, and Stanislav Protasov. "BIO MATERIAL MODELING QUANTUM CIRCUIT COMPRESSION." In Mathematical modeling in materials science of electronic component. LCC MAKS Press, 2022. http://dx.doi.org/10.29003/m3058.mmmsec-2022/15-17.

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Bioelectronics is a perspective future of electronics. The modelling of the protein is an important part that allows to search the appropriate folding structure with applicable conductivity properties. The classical computers struggle from modelling large structures because of number degrees of freedom. The mathematical modelling inside the quantum programming paradigm is a possible way to overcome this factor. This work describes a simplification algorithm of bio material (protein) model used in bioelectronics
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Mao, Xiaomin, and Haizhu Hu. "Modelling Bio-Enhanced TCE DNAPL Elimination in a Soil Column." In 2010 4th International Conference on Bioinformatics and Biomedical Engineering (iCBBE). IEEE, 2010. http://dx.doi.org/10.1109/icbbe.2010.5516966.

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Donzella, V., S. Talebi Fard, and L. Chrostowski. "Modelling of asymmetric slot racetracks for improved bio-sensors performance." In 2013 13th International Conference on Numerical Simulation of Optoelectronic Devices (NUSOD). IEEE, 2013. http://dx.doi.org/10.1109/nusod.2013.6633106.

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Morales, Manuel E., and Stephane Lhuillery. "Modelling Circularity in Bio-based Economy Through Territorial System Dynamics." In 2021 IEEE European Technology and Engineering Management Summit (E-TEMS). IEEE, 2021. http://dx.doi.org/10.1109/e-tems51171.2021.9524890.

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Ye and Choy. "Modelling of the Pulmonary Circulation via Electrical Bio-Impedance Technique." In Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE, 1992. http://dx.doi.org/10.1109/iembs.1992.590117.

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Reports on the topic "Bio-modelling"

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Rural NEET Youth Policy Brief - Youth and Mobility in EU Rural Areas. COST Action 18213: Rural NEET Youth Network: Modeling the risks underlying rural NEETs social exclusion, May 2022. http://dx.doi.org/10.15847/cisrnyn.neetpbym.2022.05.

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This policy brief is based upon findings from the COST Action CA18213: Rural NEET Youth Network: Modelling the Risks Underlying Rural NEETs Social Ex- clusion. This network brings together researchers and practitioners from 31 countries and aims at developing a model of comprehension for rural NEETs’ social exclusion risks and protective factors based on a bio-ecological model. The three specific goals of the action are: 1. upholding future research capacity, with an emphasis on Early Career Investigators, and Inclusiveness Tar- get Countries; 2. creating a rural NEETs’ online observatory; and, 3. fostering use of knowledge by policy makers and practitioners.
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African Open Science Platform Part 1: Landscape Study. Academy of Science of South Africa (ASSAf), 2019. http://dx.doi.org/10.17159/assaf.2019/0047.

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This report maps the African landscape of Open Science – with a focus on Open Data as a sub-set of Open Science. Data to inform the landscape study were collected through a variety of methods, including surveys, desk research, engagement with a community of practice, networking with stakeholders, participation in conferences, case study presentations, and workshops hosted. Although the majority of African countries (35 of 54) demonstrates commitment to science through its investment in research and development (R&D), academies of science, ministries of science and technology, policies, recognition of research, and participation in the Science Granting Councils Initiative (SGCI), the following countries demonstrate the highest commitment and political willingness to invest in science: Botswana, Ethiopia, Kenya, Senegal, South Africa, Tanzania, and Uganda. In addition to existing policies in Science, Technology and Innovation (STI), the following countries have made progress towards Open Data policies: Botswana, Kenya, Madagascar, Mauritius, South Africa and Uganda. Only two African countries (Kenya and South Africa) at this stage contribute 0.8% of its GDP (Gross Domestic Product) to R&D (Research and Development), which is the closest to the AU’s (African Union’s) suggested 1%. Countries such as Lesotho and Madagascar ranked as 0%, while the R&D expenditure for 24 African countries is unknown. In addition to this, science globally has become fully dependent on stable ICT (Information and Communication Technologies) infrastructure, which includes connectivity/bandwidth, high performance computing facilities and data services. This is especially applicable since countries globally are finding themselves in the midst of the 4th Industrial Revolution (4IR), which is not only “about” data, but which “is” data. According to an article1 by Alan Marcus (2015) (Senior Director, Head of Information Technology and Telecommunications Industries, World Economic Forum), “At its core, data represents a post-industrial opportunity. Its uses have unprecedented complexity, velocity and global reach. As digital communications become ubiquitous, data will rule in a world where nearly everyone and everything is connected in real time. That will require a highly reliable, secure and available infrastructure at its core, and innovation at the edge.” Every industry is affected as part of this revolution – also science. An important component of the digital transformation is “trust” – people must be able to trust that governments and all other industries (including the science sector), adequately handle and protect their data. This requires accountability on a global level, and digital industries must embrace the change and go for a higher standard of protection. “This will reassure consumers and citizens, benefitting the whole digital economy”, says Marcus. A stable and secure information and communication technologies (ICT) infrastructure – currently provided by the National Research and Education Networks (NRENs) – is key to advance collaboration in science. The AfricaConnect2 project (AfricaConnect (2012–2014) and AfricaConnect2 (2016–2018)) through establishing connectivity between National Research and Education Networks (NRENs), is planning to roll out AfricaConnect3 by the end of 2019. The concern however is that selected African governments (with the exception of a few countries such as South Africa, Mozambique, Ethiopia and others) have low awareness of the impact the Internet has today on all societal levels, how much ICT (and the 4th Industrial Revolution) have affected research, and the added value an NREN can bring to higher education and research in addressing the respective needs, which is far more complex than simply providing connectivity. Apart from more commitment and investment in R&D, African governments – to become and remain part of the 4th Industrial Revolution – have no option other than to acknowledge and commit to the role NRENs play in advancing science towards addressing the SDG (Sustainable Development Goals). For successful collaboration and direction, it is fundamental that policies within one country are aligned with one another. Alignment on continental level is crucial for the future Pan-African African Open Science Platform to be successful. Both the HIPSSA ((Harmonization of ICT Policies in Sub-Saharan Africa)3 project and WATRA (the West Africa Telecommunications Regulators Assembly)4, have made progress towards the regulation of the telecom sector, and in particular of bottlenecks which curb the development of competition among ISPs. A study under HIPSSA identified potential bottlenecks in access at an affordable price to the international capacity of submarine cables and suggested means and tools used by regulators to remedy them. Work on the recommended measures and making them operational continues in collaboration with WATRA. In addition to sufficient bandwidth and connectivity, high-performance computing facilities and services in support of data sharing are also required. The South African National Integrated Cyberinfrastructure System5 (NICIS) has made great progress in planning and setting up a cyberinfrastructure ecosystem in support of collaborative science and data sharing. The regional Southern African Development Community6 (SADC) Cyber-infrastructure Framework provides a valuable roadmap towards high-speed Internet, developing human capacity and skills in ICT technologies, high- performance computing and more. The following countries have been identified as having high-performance computing facilities, some as a result of the Square Kilometre Array7 (SKA) partnership: Botswana, Ghana, Kenya, Madagascar, Mozambique, Mauritius, Namibia, South Africa, Tunisia, and Zambia. More and more NRENs – especially the Level 6 NRENs 8 (Algeria, Egypt, Kenya, South Africa, and recently Zambia) – are exploring offering additional services; also in support of data sharing and transfer. The following NRENs already allow for running data-intensive applications and sharing of high-end computing assets, bio-modelling and computation on high-performance/ supercomputers: KENET (Kenya), TENET (South Africa), RENU (Uganda), ZAMREN (Zambia), EUN (Egypt) and ARN (Algeria). Fifteen higher education training institutions from eight African countries (Botswana, Benin, Kenya, Nigeria, Rwanda, South Africa, Sudan, and Tanzania) have been identified as offering formal courses on data science. In addition to formal degrees, a number of international short courses have been developed and free international online courses are also available as an option to build capacity and integrate as part of curricula. The small number of higher education or research intensive institutions offering data science is however insufficient, and there is a desperate need for more training in data science. The CODATA-RDA Schools of Research Data Science aim at addressing the continental need for foundational data skills across all disciplines, along with training conducted by The Carpentries 9 programme (specifically Data Carpentry 10 ). Thus far, CODATA-RDA schools in collaboration with AOSP, integrating content from Data Carpentry, were presented in Rwanda (in 2018), and during17-29 June 2019, in Ethiopia. Awareness regarding Open Science (including Open Data) is evident through the 12 Open Science-related Open Access/Open Data/Open Science declarations and agreements endorsed or signed by African governments; 200 Open Access journals from Africa registered on the Directory of Open Access Journals (DOAJ); 174 Open Access institutional research repositories registered on openDOAR (Directory of Open Access Repositories); 33 Open Access/Open Science policies registered on ROARMAP (Registry of Open Access Repository Mandates and Policies); 24 data repositories registered with the Registry of Data Repositories (re3data.org) (although the pilot project identified 66 research data repositories); and one data repository assigned the CoreTrustSeal. Although this is a start, far more needs to be done to align African data curation and research practices with global standards. Funding to conduct research remains a challenge. African researchers mostly fund their own research, and there are little incentives for them to make their research and accompanying data sets openly accessible. Funding and peer recognition, along with an enabling research environment conducive for research, are regarded as major incentives. The landscape report concludes with a number of concerns towards sharing research data openly, as well as challenges in terms of Open Data policy, ICT infrastructure supportive of data sharing, capacity building, lack of skills, and the need for incentives. Although great progress has been made in terms of Open Science and Open Data practices, more awareness needs to be created and further advocacy efforts are required for buy-in from African governments. A federated African Open Science Platform (AOSP) will not only encourage more collaboration among researchers in addressing the SDGs, but it will also benefit the many stakeholders identified as part of the pilot phase. The time is now, for governments in Africa, to acknowledge the important role of science in general, but specifically Open Science and Open Data, through developing and aligning the relevant policies, investing in an ICT infrastructure conducive for data sharing through committing funding to making NRENs financially sustainable, incentivising open research practices by scientists, and creating opportunities for more scientists and stakeholders across all disciplines to be trained in data management.
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