Relevant bibliographies by topics / Analogue Behavioural Models (ABM)

Academic literature on the topic 'Analogue Behavioural Models (ABM)'

Author: Grafiati
Published: 10 December 2022
Last updated: 19 February 2023

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Journal articles on the topic "Analogue Behavioural Models (ABM)"

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WOŹNIAK, Łukasz, Paweł SURDACKI, and Leszek JAROSZYŃSKI. "THE NUMERICAL MODEL OF 2G YBCO SUPERCONDUCTING TAPE IN THE WINDINGS OF THE TRANSFORMER." Applied Computer Science 13, no. 2 (June 30, 2017): 23–38. http://dx.doi.org/10.35784/acs-2017-11.

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Computer assisted calculations consists in applying software for the simu-lation of models of certain devices and later analysing their behavior under given conditions corresponding to real working conditions in a specific environment.The paper proposes a circuit model of 2G YBCO super-conducting tape created in the PSpice program. The model consists of passive blocks and active user blocks of analogue behavioural modelling (ABM). ABM blocks calculate the conductances, the currents of the indi-vidual layers of the superconducting tape, its thermal capacity, the heating power, the cooling power and resulting temperature of the tape. The model uses table of thermal power density passed to the liquid nitrogen vs. temperature. Smooth transition of the YBCO superconductor layer into the resistive state is described by Rhyner’s power law. The developed model was used for generating waveforms of thermal and electrical quantities.
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De Jonghe, D., and G. Gielen. "Compact trajectory-based behavioural models for analogue circuits." Electronics Letters 46, no. 15 (2010): 1058. http://dx.doi.org/10.1049/el.2010.0928.

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Parovik, Roman. "Mathematical Modeling of Linear Fractional Oscillators." Mathematics 8, no. 11 (October 29, 2020): 1879. http://dx.doi.org/10.3390/math8111879.

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In this work, based on Newton’s second law, taking into account heredity, an equation is derived for a linear hereditary oscillator (LHO). Then, by choosing a power-law memory function, the transition to a model equation with Gerasimov–Caputo fractional derivatives is carried out. For the resulting model equation, local initial conditions are set (the Cauchy problem). Numerical methods for solving the Cauchy problem using an explicit non-local finite-difference scheme (ENFDS) and the Adams–Bashforth–Moulton (ABM) method are considered. An analysis of the errors of the methods is carried out on specific test examples. It is shown that the ABM method is more accurate and converges faster to an exact solution than the ENFDS method. Forced oscillations of linear fractional oscillators (LFO) are investigated. Using the ABM method, the amplitude–frequency characteristics (AFC) were constructed, which were compared with the AFC obtained by the analytical formula. The Q-factor of the LFO is investigated. It is shown that the orders of fractional derivatives are responsible for the intensity of energy dissipation in fractional vibrational systems. Specific mathematical models of LFOs are considered: a fractional analogue of the harmonic oscillator, fractional oscillators of Mathieu and Airy. Oscillograms and phase trajectories were constructed using the ABM method for various values of the parameters included in the model equation. The interpretation of the simulation results is carried out.
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Rahmani, Jamal, Jalaledin Mirzay Razaz, Naser Kalantari, Leandro M. T. Garcia, Seyed Peyman Shariatpanahi, Hiba Bawadi, Jacqueline Y. Thompson, Paul M. Ryan, Heitor O. Santos, and Arezoo Haghighian Roudsari. "Dynamic conceptual framework to investigate adoption of healthy diet through agent-based modelling." British Food Journal 123, no. 8 (February 17, 2021): 2743–55. http://dx.doi.org/10.1108/bfj-09-2020-0828.

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PurposeThe purpose of this research is to develop a dynamic conceptual framework depicting factors related to the adoption of a healthy diet, which will underpin the development of an agent-based model (ABM) to uncover the dynamic interplay between these factors.Design/methodology/approachThe conceptual framework was developed in three steps using available empirical data from a semi-structured in-depth interview qualitative study, comprehensive systematic literature searches, existing theories and models and expert opinions from across the world.FindingsThe conceptual framework explicitly presents intention as the key determinant of the tendency to adopt a healthy diet. Intention is determined by demographic, psychological and behavioural factors and individual dietary mindset factors and dynamically affected by social environment and the person's past behaviour. The relationship between intention and behaviour is dynamically moderated by perceived control factors (price and accessibility of healthy food and time).Originality/valueThe conceptual framework developed in this study is well supported by evidence and experts' opinions. This conceptual framework will be used to design the ABM of this study, and it can be used in future investigations on the tendency to adopt healthy diet and food choices.
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Dobson, Andrew D. M., Emiel de Lange, Aidan Keane, Harriet Ibbett, and E. J. Milner-Gulland. "Integrating models of human behaviour between the individual and population levels to inform conservation interventions." Philosophical Transactions of the Royal Society B: Biological Sciences 374, no. 1781 (July 29, 2019): 20180053. http://dx.doi.org/10.1098/rstb.2018.0053.

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Conservation takes place within social–ecological systems, and many conservation interventions aim to influence human behaviour in order to push these systems towards sustainability. Predictive models of human behaviour are potentially powerful tools to support these interventions. This is particularly true if the models can link the attributes and behaviour of individuals with the dynamics of the social and environmental systems within which they operate. Here we explore this potential by showing how combining two modelling approaches (social network analysis, SNA, and agent-based modelling, ABM) could lead to more robust insights into a particular type of conservation intervention. We use our simple model, which simulates knowledge of ranger patrols through a hunting community and is based on empirical data from a Cambodian protected area, to highlight the complex, context-dependent nature of outcomes of information-sharing interventions, depending both on the configuration of the network and the attributes of the agents. We conclude by reflecting that both SNA and ABM, and many other modelling tools, are still too compartmentalized in application, either in ecology or social science, despite the strong methodological and conceptual parallels between their uses in different disciplines. Even a greater sharing of methods between disciplines is insufficient, however; given the impact of conservation on both the social and ecological aspects of systems (and vice versa), a fully integrated approach is needed, combining both the modelling approaches and the disciplinary insights of ecology and social science. This article is part of the theme issue ‘Linking behaviour to dynamics of populations and communities: application of novel approaches in behavioural ecology to conservation’.
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D’Alessandro, Marco, Giuseppe Gallitto, Antonino Greco, and Luigi Lombardi. "A Joint Modelling Approach to Analyze Risky Decisions by Means of Diffusion Tensor Imaging and Behavioural Data." Brain Sciences 10, no. 3 (March 1, 2020): 138. http://dx.doi.org/10.3390/brainsci10030138.

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Understanding dependencies between brain functioning and cognition is a challenging task which might require more than applying standard statistical models to neural and behavioural measures to be accomplished. Recent developments in computational modelling have demonstrated the advantage to formally account for reciprocal relations between mathematical models of cognition and brain functional, or structural, characteristics to relate neural and cognitive parameters on a model-based perspective. This would allow to account for both neural and behavioural data simultaneously by providing a joint probabilistic model for the two sources of information. In the present work we proposed an architecture for jointly modelling the reciprocal relation between behavioural and neural information in the context of risky decision-making. More precisely, we offered a way to relate Diffusion Tensor Imaging data to cognitive parameters of a computational model accounting for behavioural outcomes in the popular Balloon Analogue Risk Task (BART). Results show that the proposed architecture has the potential to account for individual differences in task performances and brain structural features by letting individual-level parameters to be modelled by a joint distribution connecting both sources of information. Such a joint modelling framework can offer interesting insights in the development of computational models able to investigate correspondence between decision-making and brain structural connectivity.
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Sosin, I., Y. Chuev, and O. Goncharova. "Integrated Identification of New Substantional Gadget Addiction: With Selfie-mania Phenomenon Model." European Psychiatry 41, S1 (April 2017): S705. http://dx.doi.org/10.1016/j.eurpsy.2017.01.1254.

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IntroductionModern selfie-infatuation extent went far beyond fashion and subculture causing distinct tendency to non-chemical addiction state transformation requiring evidential scientific identification.Aims and objectivesTo develop clinical-psychological and classification basis for new type of gadget addiction (selfie-mania), prevention and approaches to mental correction and rehabilitation.MethodSelfie attitude testing of 157 respondents-students, and internet resources topical data analysis were done.ResultsBehaviour models were rubricated, design and content, causes, clinical-psychological description, selfie-phenomenon prevalence were clarified. It allows to state selfie-addiction specific key symptoms, conforming to ICD-10 diagnostic criteria for addiction states:– psychological and emotional supercomfort feeling during realizing selfie-interventions (substantional analogue of euphoria phenomenon caused by psychoactive substances in narcology);– desire for permanent updating and layouting in social networks selfie-portraits, selfie-positions (impulse control disorder analogue);– selfie-modifying need causing adrenaline extreme and life threat (analogues: compulsive craving, megadoses, overdosages, amnesias);– obsessive craving to increase daily number of selfie-shots (tolerance syndrome analogue);– constant foreshortening change of selfie-interventions (analogue: experimentation with different psychoactive substances, searching behaviour);– selfie-destruction psychopathological consequences (neurotism, mental and behavioural disorders, group pattern of behavioural selfie-deviations);– formation of associated comorbid chemical and other substantional addiction forms;– selfie-deprivation syndrome (analogue: alcohol or drug withdrawal syndrome);– interdisciplinary range of problems (professional sphere of study for sociologists, psychologists, neurologists, psychiatrists, narcologists, psychotherapists, sexopathologists, lawyers).ConclusionsSelfie-addiction problem recognition is necessary on the level of inclusion to ICD, that will allow to develop scientific, legal and clinical base for integrated prevention, rehabilitation and treatment.Disclosure of interestThe authors have not supplied their declaration of competing interest.
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Zhao, Na, Congcong Lei, Hui Liu, and Chunlin Wu. "Improving the Effectiveness of Organisational Collaborative Innovation in Megaprojects: An Agent-Based Modelling Approach." Sustainability 14, no. 15 (July 25, 2022): 9070. http://dx.doi.org/10.3390/su14159070.

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As the complexity, breadth of expertise and number of agents involved in megaprojects grow, collaborative innovation models become invaluable for helping to achieve sustainable project development. On this basis, the purpose of this study is to explore the innovation output mechanisms used for collaborative innovation in megaproject (CIMP) systems by the agent-based modelling (ABM) approach, and to promote the efficiency and effectiveness of organisational collaborative innovation through variable controls. A multi-agent simulation CIMP model was developed using the NetLogo tool. The model encompasses the behavioural factors and interaction rules that affect organisational CIMP. Four simulations were conducted, and the results showed that (1) the innovation environment, including policy environment, cultural climate, and engineering demand, has a positive effect on the output rate of CIMP; (2) a larger scale of innovative network organisation accelerates innovation output; (3) innovative organisations must avoid enforcing high standards for cooperation, communication, and recognition abilities when selecting partner organisations; (4) innovative organisations’ ability to absorb technology, information, and knowledge is positively related to output, while an increase in behavioural costs reduces the scale of innovative network organisations, thereby affecting their output. This study developed its CIMP theory from the perspective of organisational behaviour. The findings are expected to provide methodological and practical guidance for the selection of innovation agents, behavioural patterns, and for guaranteeing efficient innovation in collaborative megaproject organisations.
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Jakovljevic, Mirko, Zeljko Mrcarica, Peter A. Fotiu, Helmut Detter, and Vanco Litovski. "Transient electro-thermal simulation of microsystems with space-continuous thermal models in an analogue behavioural simulator." Microelectronics Reliability 40, no. 3 (March 2000): 507–16. http://dx.doi.org/10.1016/s0026-2714(99)00251-6.

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Wilkie, Lowri, Zoe Fisher, and Andrew H. Kemp. "The ‘Rippling’ Waves of Wellbeing: A Mixed Methods Evaluation of a Surf-Therapy Intervention on Patients with Acquired Brain Injury." Sustainability 14, no. 15 (August 4, 2022): 9605. http://dx.doi.org/10.3390/su14159605.

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Dominant psychological models of wellbeing neglect the role that nature connection and other key factors, such as positive health behaviours and behaviour change, play in determining wellbeing. The present mixed-methods evaluation explores the impact of ”Surf-Ability”, an adapted surf therapy intervention delivered in collaboration with a UK neurorehabilitation service, on individuals with acquired brain injury (ABI) as part of an effort to design interventions based on advances in wellbeing science. Following five surf-therapy sessions, within-subjects analysis (n= 15) revealed significant improvements on the Warwick–Edinburgh mental wellbeing scale (t (15) = −2.164, p = 0.048), as well as in anxiety and happiness as measured via a brief visual analogue. No significant changes occurred in the Hospital Anxiety and Depression Scale (HADS) or resting heart rate variability (HRV). A ripple effects mapping (REM) session at 6–10 months follow-up (n = 6) revealed that the physical and psychological experience of a nature-based challenge initiated a mindset shift in participants, which ultimately led to them adopting wellbeing-promoting long-term behaviour changes. These changes occurred at the scale of (1) individual wellbeing—increased mindfulness and physical activity; (2) collective wellbeing—improved relationships, community participation and contribution to organisations; and (3) planetary wellbeing—connection to nature. These findings align with the GENIAL theoretical framework, which defines wellbeing from a biopsychosocial ecological perspective across multiple levels of scale. The findings support the need for healthcare providers—including neurorehabilitation services—to enhance interventions for patients by incorporating novel factors that improve wellbeing, such as nature-connection.
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Dissertations / Theses on the topic "Analogue Behavioural Models (ABM)"

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(9833834), Steven Senini. "Simulation of complete traction system using SIMULINK dynamic systems analysis package." Thesis, 1994. https://figshare.com/articles/thesis/Simulation_of_complete_traction_system_using_SIMULINK_dynamic_systems_analysis_package/20353218.

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 The development of tools for large systems simulation is of considerable importance for the power electronics designer. This thesis addresses the application of the SIMULINK dynamic systems analysis package to simulation of large power electronic/mechanical systems. 

Power electronics components are modelled with a consistent structure and topological similarity to the real circuit. This structure enables SIMULINK to produce power electronic equipment models which are easily identified. The approach is readily extended beyond the simulations presented in this thesis. 

The SIMULINK dynamic systems analysis package has been used to implement a simulation of a complete railway traction system including the ac -dc conversion stage, the dc -ac inversion stage, the motor and mechanical load. Control techniques for both the converter and the inverter are investigated and use is made of the simulation tool to demonstrate the concepts discussed. The ac -dc converter and the dc -ac inverter are first discussed separately with respect to the individual control elements. The combination of the two systems is then presented with results. 

The development of additional elements applicable to traction systems is presented. The nature of these elements is such that the time required for the simulation with current personal computing technology is long. It is expected that these elements may be used in future simulations as the power of the personal computer increases. 

Finally the simulation approach developed also has potential as a teaching aid and has been used in private courses and in the design verification of a 10 kW prototype PWM converter. It is expected that this usage will grow until the simulation is used in regular courses at a university undergraduate level and as a design tool for postgraduates and researchers.  

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Knoth, Christoph Platte Daniel. "Model generation for analytical behavioural models of analog systems /." 2007. http://www.gbv.de/dms/ilmenau/abs/573699569knoth.txt.

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Conference papers on the topic "Analogue Behavioural Models (ABM)"

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Ali, Sawal, Reuben Wilcock, Peter Wilson, and Andrew Brown. "A new approach for combining yield and performance in behavioural models for analogue integrated circuits." In the conference. New York, New York, USA: ACM Press, 2008. http://dx.doi.org/10.1145/1403375.1403414.

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Ali, Sawal, Reuben Wilcock, Peter Wilson, and Andrew Brown. "A New Approach for Combining Yield and Performance in Behavioural Models for Analogue Integrated Circuits." In 2008 Design, Automation and Test in Europe. IEEE, 2008. http://dx.doi.org/10.1109/date.2008.4484678.

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Mulvihill, J. J., M. R. O’Donnell, B. M. O’Connell, and M. T. Walsh. "An Investigation on the Use of Silicone to Model Arterial Tissue Behaviour in the Idealised Tuning-Fork Model of the Carotid Bifurcation." In ASME 2011 Summer Bioengineering Conference. American Society of Mechanical Engineers, 2011. http://dx.doi.org/10.1115/sbc2011-53440.

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The development of atherosclerosis in the carotid bifurcation of the cardiovascular system has been the subject of much investigation. The carotid bifurcation is a prevalent area for atherosclerotic plaque build-up (Sakata et al., 1988). The performance of minimally invasive treatment of this plaque build-up has been below expectations. There is an increased need to analyse the poor performance of this treatment by numerically and experimentally replicating the diseased carotid bifurcation geometry with realistic material behaviour. This paper presents the investigation of an analogue material to represent arterial tissue behaviour. The aim of this study is to computationally set up an idealised carotid bifurcation model and compare the mechanical behaviour of arterial tissue and a silicone material model.
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Jodko, Daniel, Tomasz Palczynski, Piotr Reorowicz, Kacper Miazga, Damian Obidowski, and Krzysztof Jozwik. "Determination of a Pressure Drop in the Arteriovenous Fistula With Fluid Structure Interaction Simulations and In Vitro Methods." In ASME 2017 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2017. http://dx.doi.org/10.1115/imece2017-70402.

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A pressure drop and its oscillations occurring in the arteriovenous fistula due to sudden changes in the velocity vector direction or the transitional or turbulent flow, related to its complicated geometry, can exert a significant impact on the blood vessel wall behaviour. On the other hand, the pressure drop cannot be precisely measured in vivo with non-invasive measurement methods. The aim of this study is to assess the pressure drop with numerical and experimental methods in the patient-specific fistula model taking into account a pulsating nature of the flow and the elasticity of blood vessel walls. An additional target is to find a correlation between these two methods. FSI and in vitro simulations of the blood flow were performed for a patient-specific model of the fistula. Basic geometrical data of the correctly functioning mature fistula were obtained with angio-computed tomography. Those data were applied to develop a spatial CAD model of the fistula, which allowed for creating a virtual model for computer simulations and an analogous in vitro model made with rapid prototyping techniques. The material used to build the in vitro model is characterised by mechanical properties similar to the arterial tissue. A non-stationary computer simulation was carried out with an ANSYS software package, keeping as many flow similarities to the experiments carried out on the test stand as possible, and where the blood mimicking fluid was a water solution of glycerine. During the experiments, the static pressure was measured downstream and upstream of the anastomosis with precise pressure transducers. The pressure drop was determined with the numerical and experimental methods, which take into account the elasticity of blood vessels. This is a novel approach, since most of similar studies were conducted on the assumption of rigid blood vessel walls. The obtained results show that the pressure drop within the fistula is not so high as reported in the literature, which is correlated with the precision of measurement methods and the fact that a large portion of the fluid energy is accumulated by the elastic walls.
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Reports on the topic "Analogue Behavioural Models (ABM)"

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Masotti, Matteo, Lusine Aramyan, Katja Logatcheva, Simone Piras, Simone Righi, Matteo Vittuari, and Marco Setti. Behavioural economics : assessing food waste innovations diffusion through ABM models - insights from Italy and the Netherlands. Netherlands: REFRESH, 2019. http://dx.doi.org/10.18174/478168.

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