Analytical modeling of the flow of manufacturing process of the cement is difficult because of their complexity and has not resulted in sufficiently precise mathematical models. In this paper, based on a statistical m...
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Analytical modeling of the flow of manufacturing process of the cement is difficult because of their complexity and has not resulted in sufficiently precise mathematical models. In this paper, based on a statistical model of the process and using the knowledge of human experts, was designed a fuzzy system for automatic control of clinkering process.
Today's product development process is characterized by increasing complexity of products. Subsequently universities have to adapt and constantly improve the content of their courses to prepare the future graduate...
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ISBN:
(纸本)9781904670742
Today's product development process is characterized by increasing complexity of products. Subsequently universities have to adapt and constantly improve the content of their courses to prepare the future graduates for the free market economy. An approach at Technische Universitat Darmstadt to expand the scope of CAD education, is the introduction of a new one-week tutorial on shape design with Siemens NX. This paper will describe the teaching concept and its implementation. The concurrently submissions of the examinations with content from realistic industrial tasks play an important role during the course.
This paper investigates the use of formal mathematical models in the design of interactive systems and argues for the development of generic models that describe the behaviour of a class of interactive systems. In rec...
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This paper investigates the use of formal mathematical models in the design of interactive systems and argues for the development of generic models that describe the behaviour of a class of interactive systems. In recent years a number of authors have suggested methods for modelling interactive systems using notations and frameworks drawn from software engineering mathematics. We argue that these models tend to be either: so abstract as to limit their ability to express important interaction concerns for specific systems, and limited in the degree to which they support the construction of software that conforms to the designer's intention;or so specific to an individual system that they provide only limited re-use across development projects and are therefore likely to be too expensive to develop except in a few special applications such as safety-critical systems. We argue that it is possible to construct a generic model of a class of interactive systems at an intermediate level of abstraction. Such a model would offer wider reusability than detailed specifications of a single system, but greater expressiveness and support for software development than fully general abstract models. To support our argument we review a number of existing models in the literature and present a generic model of interactive case memories, a class of systems used in case-based reasoning.
The number of application specific and efficient drives is growing. Their subsystems (e.g. power electronics, control system) unite to a heterogeneous device. Due to strong cross-couplings of the subsystems, the desig...
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This study investigates a novel way of analyzing the rheometer curves obtained front an Oscillating Disk Rheometer (ODR) for predicting the non-isothermal curing characteristics of a rubber compound. A mathematical fu...
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ISBN:
(纸本)9781538644171
This study investigates a novel way of analyzing the rheometer curves obtained front an Oscillating Disk Rheometer (ODR) for predicting the non-isothermal curing characteristics of a rubber compound. A mathematical function is proposed to predict the change in the observed rheometer torque as a function of the temperature to model the state of cure under transient temperature conditions. This was achieved by modeling the rheometer curve with the aid of six temperature dependant parametric constants. The proposed function was observed to accurately describe, the shape of the torque rate at any given temperature. The characteristics variation of the parametric constants too have been briefly examined.
The objective of this study is to determine the three-dimensional dynamic response of the human knee joint. A three-dimensional anatomical dynamic model was thus developed and consists of two body segments in contact ...
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The objective of this study is to determine the three-dimensional dynamic response of the human knee joint. A three-dimensional anatomical dynamic model was thus developed and consists of two body segments in contact (the femur and tibia) executing a general three-dimensional dynamic motion within the constraints of the different ligamentous structures. Each of the articular surfaces at the tibio-femoral joint was represented mathematically by a separate mathematical function. The joint ligaments were modelled as nonlinear elastic springs. The six-degrees-of-freedom joint motions were characterized by using six kinematic parameters, and ligamentous forces were expressed in terms of these six parameters. Knee response was studied by considering sudden external forcing pulse loads applied to the tibia. Model equations consist of nonlinear second-order ordinary differential equations coupled with nonlinear algebraic constraint conditions. Constraint equations were written to maintain at least one-point contact throughout motion;one- and two-point contact versions of the model were developed. This Differential-Algebraic Equations (DAE) system was solved by employing a DAE solver: the Differential/Algebraic System Solver (DASSL) developed at Lawrence Livermore National Laboratory. A solution representing the response of this three-dimensional dynamic system was thus obtained for the first time. Earlier attempts to determine the system's response were unsuccessful owing to the inherent numerical instabilities in the system and the limitations of the solution techniques, Under the conditions tested, evidence of "femoral roll back" on both medial and lateral tibial plateaus was not observed from the model predictions. In the range of 20 degrees to 66 degrees of knee flexion, the lateral tibial contact point moved posteriorly while the medial tibial contact point moved anteriorly. In the range of 66 degrees to 90 degrees of knee flexion, contact was maintained only on the me
Purpose - The purpose of this paper is to create a model to calculate the high frequency (HF) complex impedance of common low-voltage DC motors from construction parameters to predict their electromagnetic compatibili...
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Purpose - The purpose of this paper is to create a model to calculate the high frequency (HF) complex impedance of common low-voltage DC motors from construction parameters to predict their electromagnetic compatibility (EMC) emission behaviour and perform sensitivity analyses, and an optimization routine is developed to find combinations of construction parameters which best match a desired impedance curve. Design/methodology/approach - The motor is divided into components. For each component, its electrical behaviour including parasitics is derived from material and geometry, and the electromagnetic interactions between components are defined. These results are then reproduced using inductances, capacitances, and resistors where applicable. mathematical expressions are given to calculate their value from the material and geometrical parameters. Findings - The complex impedance of DC motors can be accurately constructed from geometry and material parameters within a small range. The optimization routine successfully finds parameters to match a desired curve within specified parameter ranges. This can help finding a motor with lower conducted electromagnetic interference. Originality/value - This analytically parameterized model constitutes a new way to describe electrical motors from an EMC perspective and define critical parameters.
Data and Models are needed to analyse the dynamic behaviour of any system. One of the main goal of mathematicalmodelling is optimization of some objective function subject to certain constraint. Nature has optimility...
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Data and Models are needed to analyse the dynamic behaviour of any system. One of the main goal of mathematicalmodelling is optimization of some objective function subject to certain constraint. Nature has optimility principle in biological systems. For example shapes of different cells or bones in human body are optimal for function they perform. Optimization models may provide better understanding in diagnosis of diseases as well as in patient health care system. The present paper deals with application of optimization technique of Dynamic programming for human Gall Bladder.
Recently it has been noted that user behaviour can have a large impact on the final energy consumption in buildings. Through the combination of mathematicalmodelling and data from wireless ambient sensors, we can mod...
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ISBN:
(纸本)9781479985470
Recently it has been noted that user behaviour can have a large impact on the final energy consumption in buildings. Through the combination of mathematicalmodelling and data from wireless ambient sensors, we can model humanbehaviour patterns and use the information to regulate building management systems (BMS) in order to achieve the best trade-off between user comfort and energy efficiency. In this work, we have modelled user occupancy and activity patterns using Machine Learning approaches. We have applied non-linear multiclass Support Vector Machines (SVMs) to deal with the complex nature of the data collected from various sensors to accurately identify user occupancy and activities of daily living (ADL) patterns. To validate our results, we also used other methodologies (i.e. Hidden-Markov Model and k-Nearest Neighbours). The experimental results show that our proposed approach outperforms the other methods for the scenarios evaluated.
Refinements to a mathematical model of human drivers' steering control incorporating driver learning are reported. State estimation and realistic sensorimotor noise sources are introduced to the driver model to be...
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Refinements to a mathematical model of human drivers' steering control incorporating driver learning are reported. State estimation and realistic sensorimotor noise sources are introduced to the driver model to better represent neural processes. It is found that the driver model exhibits the expected learning behaviour in terms of estimation and control performance. Further work is planned to validate the model experimentally.
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