The inherent inability to obtain real-time quality measurements in calcined kilns poses significant challenges for maintaining optimal production stability. This research introduces an intelligent control method for c...
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The inherent inability to obtain real-time quality measurements in calcined kilns poses significant challenges for maintaining optimal production stability. This research introduces an intelligent control method for calcined kiln product quality, leveraging a multivariable integrated deep learning model to predict and regulate quality by manipulating production actuators. A feature screening process was conducted by combining grey relative correlation, feature extraction was performed using Time Series Convolutional model, quality classification was carried out by Support Vector Machine model, and the GTS model was constructed to predict the quality of the calcined kiln product. An intelligent fuzzy control system was established to fine-tune operational parameters based on quality forecasts, with the goal of direct quality. Experimental validation using industrial furnace data demonstrates the effectiveness of the model, achieving 87.55 % prediction accuracy, and confirms the operational viability of the control strategy. This study provides a scientific approach to managing calcining kiln quality, enhancing production efficiency and facilitating the implementation of intelligent control in calcining operations.
Integrated Cellular Framework for Modeling Ecosystems: Theory and Applications', by Baha Uddin Kazi and Gabriel Wainer, published Online First on 11 March 2017 in the journal of simulation with the DOI: 10.1177/00...
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Integrated Cellular Framework for Modeling Ecosystems: Theory and Applications', by Baha Uddin Kazi and Gabriel Wainer, published Online First on 11 March 2017 in the journal of simulation with the DOI: 10.1177/0037549717706007. In this paper, the funding statement was incorrect and the acknowledgements section was not added in the Online First version. This has since been corrected in the Online First version of the article.
Optimization problems are often highly constrained and evolutionary algorithms（EAs）are effective methods to tackle this kind of problems. To further improve search efficiency and convergence rate of EAs, this paper ...
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Optimization problems are often highly constrained and evolutionary algorithms（EAs）are effective methods to tackle this kind of problems. To further improve search efficiency and convergence rate of EAs, this paper presents an adaptive double chain quantum genetic algorithm（ADCQGA） for solving constrained optimization problems. ADCQGA makes use of doubleindividuals to represent solutions that are classified as feasible and infeasible solutions. Fitness（or evaluation） functions are defined for both types of solutions. Based on the fitness function, three types of step evolution（SE） are defined and utilized for judging evolutionary individuals. An adaptive rotation is proposed and used to facilitate updating individuals in different *** further improve the search capability and convergence rate, ADCQGA utilizes an adaptive evolution process（AEP）, adaptive mutation and replacement techniques. ADCQGA was first tested on a widely used benchmark function to illustrate the relationship between initial parameter values and the convergence rate/search capability. Then the proposed ADCQGA is successfully applied to solve other twelve benchmark functions and five well-known constrained engineering design problems. Multi-aircraft cooperative target allocation problem is a typical constrained optimization problem and requires efficient methods to tackle. Finally, ADCQGA is successfully applied to solving the target allocation problem.
This paper describes the result of the interdisciplinary cooperation of traumatologists of the Berufsgenossenschaftliche Unfallklinik (BGU) in Frankfurt am Main and a team of computer graphics scientists of the Fraunh...
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This paper describes the result of the interdisciplinary cooperation of traumatologists of the Berufsgenossenschaftliche Unfallklinik (BGU) in Frankfurt am Main and a team of computer graphics scientists of the Fraunhofer Institute for Computer Graphics in Darmstadt. We have developed a highly interactive training simulator system by means of computer graphics and virtual reality techniques.
This paper describes a system for investigating molecule data. By means of combined Virtual Environment and Scientific visualization techniques it allows for immersive exploration of individual molecules as well as fo...
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This paper describes a system for investigating molecule data. By means of combined Virtual Environment and Scientific visualization techniques it allows for immersive exploration of individual molecules as well as for investigation of docking behaviour between two molecules. Special emphasis is put on good interaction (simultaneous operation of two input devices with 6 degrees of freedom each, virtual menus), on fast rendering of large molecules in high quality (level of detail, fast rendering of spheres, utilization of multiple rendering pipelines, sorted triangle strips for transparent surfaces), and on other perceptual issues (e.g. judgement of position and size of molecules by shadows). The techniques which were realized for this system may also be used in other applications like assembly tasks, virtual material testing, etc. (C) 1996 Elsevier Science Ltd
This article discusses the need of complex systems to be adaptive, and various innovative technologies that are required to engineer these systems. Complex adaptive systems consist of several simultaneously interactin...
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This article discusses the need of complex systems to be adaptive, and various innovative technologies that are required to engineer these systems. Complex adaptive systems consist of several simultaneously interacting parts or components, which are expected to function in an uncertain, complex environment, and to adapt to unforeseeable contingencies. The defining characteristics of complex adaptive systems are that the components are continually changing, the systems involve many interactions among components, and configurations cannot be fully determined in advance. Studies have shown that complex systems of the future will require a multidisciplinary framework—an approach that has been called emergent (complexity) engineering. Emergent engineering designs a system from the bottom-up by designing the individual components and their interactions that can lead to a desired global response. Although significant effort has been devoted to understanding complexity in natural and engineered systems, the research into complex adaptive systems is fragmented and is largely focused on specific examples. In order to accelerate the development of future diverse complex systems, there is a profound need for developing the new multidisciplinary framework of emergent engineering, along with associated systematic approaches, and generally valid methods and tools for high-fidelity simulations of the collective emergent behavior of these systems.
In recent years, virtual environments have played a key role in engineering education. The use of virtual environments as learning tools continues to grow on account of the capabilities of providing learners with more...
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作者：
McKenzie, Frederic D.Modeling
Simulation and Visualization Engineering Department Old Dominion University NorfolkVA United States
The Accreditation Board for Engineering and Technology (ABET) is an internationally known organization for recognizing engineering programs that work towards student attainment in learning outcomes that conform to eng...
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ISBN:
(纸本)9788897999485
The Accreditation Board for Engineering and Technology (ABET) is an internationally known organization for recognizing engineering programs that work towards student attainment in learning outcomes that conform to engineering disciplines and have a process for measuring attainment and continuous improvement. There are eight general criteria to be satisfied that include student outcomes, educational objectives, curriculum, facilities and faculty. Additionally, there may be program-specific requirements depending on the particular discipline. The modeling and simulation (M&S) engineering (M&SE) program at Old Dominion University satisfies the program criteria for general engineering in the ABET Engineering Accreditation Commission and declares detailed discipline-specific student outcomes to ensure unambiguous definition of a pioneering program in order to set a standard that can be utilized as a template for future up-and-coming M&SE programs. This paper presents the curriculum and programspecific outcomes that have been incorporated into our continuous improvement process for student attainment of our M&S engineering program outcomes.
Stress can impose negative impact on the health and well-being of a person. People who do not have tools to manage their stress are more likely to acquire cardiovascular disease (CVD) -The leading cause of death in th...
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