The Experts below are selected from a list of 297 Experts worldwide ranked by ideXlab platform
Milad Mohammadi Darani - One of the best experts on this subject based on the ideXlab platform.
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modeling the evolution of system technology performance when component and system technology performances interact commensalism and Amensalism
Technological Forecasting and Social Change, 2017Co-Authors: Guanglu Zhang, Daniel A Mcadams, Venkatesh Shankar, Milad Mohammadi DaraniAbstract:Abstract The interaction between technologies critically determines technology evolution. Commensalism and Amensalism are two common relationships between component and system technologies but have attracted scant research attention. In both the relationships, the component technology performance is unaffected by the system technology performance. However, as the component technology performance improves, the system technology performance is enhanced in commensalism but inhibited in Amensalism. We model commensalism and Amensalism and predict the evolution of system technology performance using Lotka-Volterra equations. In these two scenarios, we decouple the equations and derive the general analytic solution for system technology performance. We also deduce the corresponding solutions for cases where the component technology performance follows a logistic function or simple exponential growth. The solutions consider the impact on system technology performance of changes in component technology performance and enable us to predict the future performance evolution of system technology. We demonstrate the prediction accuracy of our model through an empirical study of the concrete skyscraper technology. We also interpret the parameters in Lotka-Volterra equations and explore strategies to boost system technology performance. The analytic solutions and parameter interpretations allow practitioners and policy makers to use our model as a strategic management tool for their future work.
Fengde Chen - One of the best experts on this subject based on the ideXlab platform.
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dynamical analysis of a two species Amensalism model with beddington deangelis functional response and allee effect on the second species
Nonlinear Analysis-real World Applications, 2019Co-Authors: Xinyu Guan, Fengde ChenAbstract:Abstract A two species Amensalism model with Beddington–DeAngelis functional response is proposed and studied in this paper. The existence and stability of possible equilibria are investigated. Under some additional assumptions, there are two stable equilibria which implies this system is not asymptotically stable. Based on the stability analysis of equilibria, closed orbits and the saddle connection, we give some comprehensive bifurcation and global dynamics of the system. Next, we further incorporate the Allee effect into the second species and provide a complete qualitative and bifurcation analysis of the system with Allee effect. Numerical simulations show that the system with an Allee effect must take a longer time to reach its stable steady-state solution than that without Allee effect. There is a good agreement between the present results and the numeric simulations.
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The influence of partial closure for the populations to a non-selective harvesting Lotka–Volterra discrete Amensalism model
Advances in Difference Equations, 2019Co-Authors: Fengde ChenAbstract:In this paper, a non-selective harvesting Lotka–Volterra Amensalism discrete model incorporating partial closure for the populations is proposed and studied. By applying the relevant conclusions of difference inequality and some calculation technique, sufficient conditions are obtained to ensure the permanence and extinction of the system. By constructing a suitable Lyapunov function, sufficient conditions that ensure the global attractivity of the system are obtained. Finally, numerical simulations show the feasibility of our results.
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the influence of partial closure for the populations to a non selective harvesting lotka volterra discrete Amensalism model
Advances in Difference Equations, 2019Co-Authors: Fengde ChenAbstract:In this paper, a non-selective harvesting Lotka–Volterra Amensalism discrete model incorporating partial closure for the populations is proposed and studied. By applying the relevant conclusions of difference inequality and some calculation technique, sufficient conditions are obtained to ensure the permanence and extinction of the system. By constructing a suitable Lyapunov function, sufficient conditions that ensure the global attractivity of the system are obtained. Finally, numerical simulations show the feasibility of our results.
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Dynamical analysis of a two species Amensalism model with Beddington–DeAngelis functional response and Allee effect on the second species
Nonlinear Analysis: Real World Applications, 2019Co-Authors: Xinyu Guan, Fengde ChenAbstract:Abstract A two species Amensalism model with Beddington–DeAngelis functional response is proposed and studied in this paper. The existence and stability of possible equilibria are investigated. Under some additional assumptions, there are two stable equilibria which implies this system is not asymptotically stable. Based on the stability analysis of equilibria, closed orbits and the saddle connection, we give some comprehensive bifurcation and global dynamics of the system. Next, we further incorporate the Allee effect into the second species and provide a complete qualitative and bifurcation analysis of the system with Allee effect. Numerical simulations show that the system with an Allee effect must take a longer time to reach its stable steady-state solution than that without Allee effect. There is a good agreement between the present results and the numeric simulations.
Guanglu Zhang - One of the best experts on this subject based on the ideXlab platform.
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System evolution prediction and manipulation using a Lotka–Volterra ecosystem model
Design Studies, 2019Co-Authors: Guanglu Zhang, Daniel A Mcadams, Douglas Allaire, Venkatesh ShankarAbstract:System evolution prediction is critical for designers to make R&D and outsourcing decisions. Many descriptive models are used for this purpose, but they have several limitations. In this paper, we extend the Lotka–Volterra equations as an ecosystem model to predict the performances of the system and its components. This model comprises a set of differential equations that describe symbiosis, commensalism, and Amensalism relationships between a system and multiple components. We associate every parameter in the model with its causal factors, develop a three-step application of the model, and illustrate the application through a case study on passenger airplane fuel efficiency. Our model identifies the key components in a system. The identified components help designers generate strategies to boost system performance.
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modeling the evolution of system technology performance when component and system technology performances interact commensalism and Amensalism
Technological Forecasting and Social Change, 2017Co-Authors: Guanglu Zhang, Daniel A Mcadams, Venkatesh Shankar, Milad Mohammadi DaraniAbstract:Abstract The interaction between technologies critically determines technology evolution. Commensalism and Amensalism are two common relationships between component and system technologies but have attracted scant research attention. In both the relationships, the component technology performance is unaffected by the system technology performance. However, as the component technology performance improves, the system technology performance is enhanced in commensalism but inhibited in Amensalism. We model commensalism and Amensalism and predict the evolution of system technology performance using Lotka-Volterra equations. In these two scenarios, we decouple the equations and derive the general analytic solution for system technology performance. We also deduce the corresponding solutions for cases where the component technology performance follows a logistic function or simple exponential growth. The solutions consider the impact on system technology performance of changes in component technology performance and enable us to predict the future performance evolution of system technology. We demonstrate the prediction accuracy of our model through an empirical study of the concrete skyscraper technology. We also interpret the parameters in Lotka-Volterra equations and explore strategies to boost system technology performance. The analytic solutions and parameter interpretations allow practitioners and policy makers to use our model as a strategic management tool for their future work.
Karl Hillman - One of the best experts on this subject based on the ideXlab platform.
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a framework for analysis of multi mode interaction among technologies with examples from the history of alternative transport fuels in sweden
Research Policy, 2011Co-Authors: Bjorn A Sanden, Karl HillmanAbstract:The relationship between technologies is a salient feature of the literature on technical change and terms like 'dominant design' and 'technology lock-in' are part of the standard vocabulary and put competition among technologies in focus. The aim of this paper is to provide an account of the wide range of interaction modes beyond competition that is prevalent in transition processes and to develop a conceptual framework to facilitate more detailed and nuanced descriptions of technology interaction. Besides competition, we identify five other basic modes of interaction: symbiosis, neutralism, parasitism, commensalism and Amensalism. Further, we describe interaction as overlapping value chains. Defining a technology as a socio-technical system extending in material, organisational and conceptual dimensions allows for an even more detailed description of interaction. The conceptual framework is tested on and illustrated by a case study of interaction among alternative transport fuels in Sweden 1974-2004.
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A framework for analysis of multi-mode interaction among technologies with examples from the history of alternative transport fuels in Sweden
Research Policy, 2011Co-Authors: Bjorn A Sanden, Karl HillmanAbstract:The relationship between technologies is a salient feature of the literature on technical change and terms like 'dominant design' and 'technology lock-in' are part of the standard vocabulary and put competition among technologies in focus. The aim of this paper is to provide an account of the wide range of interaction modes beyond competition that is prevalent in transition processes and to develop a conceptual framework to facilitate more detailed and nuanced descriptions of technology interaction. Besides competition, we identify five other basic modes of interaction: symbiosis, neutralism, parasitism, commensalism and Amensalism. Further, we describe interaction as overlapping value chains. Defining a technology as a socio-technical system extending in material, organisational and conceptual dimensions allows for an even more detailed description of interaction. The conceptual framework is tested on and illustrated by a case study of interaction among alternative transport fuels in Sweden 1974-2004. (C) 2011 Elsevier B.V. All rights reserved.
Daniel A Mcadams - One of the best experts on this subject based on the ideXlab platform.
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System evolution prediction and manipulation using a Lotka–Volterra ecosystem model
Design Studies, 2019Co-Authors: Guanglu Zhang, Daniel A Mcadams, Douglas Allaire, Venkatesh ShankarAbstract:System evolution prediction is critical for designers to make R&D and outsourcing decisions. Many descriptive models are used for this purpose, but they have several limitations. In this paper, we extend the Lotka–Volterra equations as an ecosystem model to predict the performances of the system and its components. This model comprises a set of differential equations that describe symbiosis, commensalism, and Amensalism relationships between a system and multiple components. We associate every parameter in the model with its causal factors, develop a three-step application of the model, and illustrate the application through a case study on passenger airplane fuel efficiency. Our model identifies the key components in a system. The identified components help designers generate strategies to boost system performance.
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modeling the evolution of system technology performance when component and system technology performances interact commensalism and Amensalism
Technological Forecasting and Social Change, 2017Co-Authors: Guanglu Zhang, Daniel A Mcadams, Venkatesh Shankar, Milad Mohammadi DaraniAbstract:Abstract The interaction between technologies critically determines technology evolution. Commensalism and Amensalism are two common relationships between component and system technologies but have attracted scant research attention. In both the relationships, the component technology performance is unaffected by the system technology performance. However, as the component technology performance improves, the system technology performance is enhanced in commensalism but inhibited in Amensalism. We model commensalism and Amensalism and predict the evolution of system technology performance using Lotka-Volterra equations. In these two scenarios, we decouple the equations and derive the general analytic solution for system technology performance. We also deduce the corresponding solutions for cases where the component technology performance follows a logistic function or simple exponential growth. The solutions consider the impact on system technology performance of changes in component technology performance and enable us to predict the future performance evolution of system technology. We demonstrate the prediction accuracy of our model through an empirical study of the concrete skyscraper technology. We also interpret the parameters in Lotka-Volterra equations and explore strategies to boost system technology performance. The analytic solutions and parameter interpretations allow practitioners and policy makers to use our model as a strategic management tool for their future work.