Xem 1-20 trên 336 kết quả Process dynamics
  • Process control is an application area of chemical engineering - an identifiable specialty for the ChE. It combines chemical process knowledge (how physics, chemistry, and biology work in operating equipment) and an understanding of dynamic systems, a topic important to many fields of engineering. Thus study of process control allows chemical engineers to span their own field, as well as form a useful acquaintance with allied fields. Practitioners of process control find their skills useful in design, operation, and troubleshooting - major categories of chemical engineering practice....

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  • Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành hóa học dành cho các bạn yêu hóa học tham khảo đề tài: Research Article Multiple Human Tracking Using Particle Filter with Gaussian Process Dynamical Model

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  • This book is intended to serve as a reference text for advanced scientists and research engineers to solve a variety of fluid flow problems using computational fluid dynamics (CFD). Each chapter arises from a collection of research papers and discussions contributed by the practiced experts in the field of fluid mechanics. This material has encompassed a wide range of CFD applications concerning computational scheme, turbulence modeling and its simulation, multiphase flow modeling, unsteady-flow computation, and industrial applications of CFD....

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  • With many 'flexible' structures such as large span bridges, tall buildings, towers, cable roofs, etc., being built, the need to understand the dynamics behavior of structures has become a necessity for many engineers. The recent problems with the millinium bridge is simply another reminder. The many devastating earthquakes in many parts of the world leading to severe loss of life in densely inhabited urban areas alos has underlined the need for a fundamental understanding of structural behavior.

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  • Automatic process control is concerned with maintaining process variables, temperatures, pressures, flows, compositions, and the like, at a desired operating value. As we shall see in the ensuing pages, processes are dynamic in nature. Changes are always occurring, and if actions are not taken, the important process variables— those related to safety, product quality, and production rates—will not achieve design conditions.

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  • This volume covers a diverse collection of topics dealing with some of the fundamental concepts and applications embodied in the study of nonlinear dynamics. Each of the 15 chapters contained in this compendium generally fit into one of five topical areas: physics applications, nonlinear oscillators, electrical and mechanical systems, biological and behavioral applications or random processes. The authors of these chapters have contributed a stimulating cross section of new results, which provide a fertile spectrum of ideas that will inspire both seasoned researches and students....

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  • The RNNs (Recurrent Neural Networks) are a general case of artificial neural networks where the connections are not feed-forward ones only. In RNNs, connections between units form directed cycles, providing an implicit internal memory. Those RNNs are adapted to problems dealing with signals evolving through time. Their internal memory gives them the ability to naturally take time into account. Valuable approximation results have been obtained for dynamical systems.

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  • What are the compelling reasons for carrying out dynamic speech modeling? We provide the answer in two related aspects. First, scientific inquiry into the human speech code has been relentlessly pursued for several decades. As an essential carrier of human intelligence and knowledge, speech is the most natural form of human communication. Embedded in the speech code are linguistic (as well as para-linguistic) messages, which are conveyed through four levels of the speech chain.

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  • Molecular dynamics (MD) simulations have played increasing roles in our understanding of physical and chemical processes of complex systems and in advancing science and technology. Over the past forty years, MD simulations have made great progress from developing sophisticated theories for treating complex systems to broadening applications to a wide range of scientific and technological fields. The chapters of Molecular Dynamics are a reflection of the most recent progress in the field of MD simulations....

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  • When talking about modelling it is natural to talk about simulation. Simulation is the imitation of the operation of a real-world process or systems over time. The objective is to generate a history of the model and the observation of that history helps us understand how the real-world system works, not necessarily involving the real-world into this process. A system (or process) model takes the form of a set of assumptions concerning its operation.

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  • Exhaustive testing (use of all possible inputs and conditions) is impractical must use a subset of all possible test cases. must have high probability of detecting faults. Need thought processes that help to select test cases more intelligently. test case design techniques are such thought processes.Effective testing: find more faults. focus attention on specific types of fault. know you're testing the right thing. Efficient testing: find faults with less effort. avoid duplication systematic techniques are measurable...

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  • This era is characterised by a revolution in the development in the information management sector with the introduction of the personal computer (PC) and associated computer communications networking facilities. The result was availability of low cost PCs that had high efficiency in the management of project schedules. An example of major projects undertaken then (for there were several) is the Space Shuttle Challenger project of 1983 – 1986. The projects of the time focused on risk management, group dynamics, and quality management. ...

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  • Sediment Transport Processes and their Modelling Applications is a book which covers a wide range of topics. The effective management of many aquatic environments, requires a detailed understanding of sediment dynamics. This has both environmental and economic implications, especially where there is any anthropogenic involvement. Numerical models are often the tool used for predicting the transport and fate of sediment movement in these situations, as they can estimate the various spatial and temporal fluxes.

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  • Mechatronics is a design process that includes a combination of mechanical engineering, electrical engineering, telecommunications engineering, control engineering and computer engineering.[1][2] Mechatronics is a multidisciplinary field of engineering, that is to say, it rejects splitting engineering into separate disciplines.

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  • Changing time, timely change, change creating time, time measuring changeÐthe themes of this book are change and time in various per- mutations and combinations. The book also deals with nonlinearity, chaos, randomness, and stochastic models, the use of computers to study complicated systems of di¨erential equations, systems theory, complemen- tarity, the importance of formal models, methods from physics and mathe- matics for the analysis of cognitive systems, and interdisciplinarity, among other topics.

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  • Weighted context-free grammars are a convenient formalism for representing grammatical constructions and their likelihoods in a variety of language-processing applications. In particular, speech understanding applications require appropriate grammars both to constrain speech recognition and to help extract the meaning of utterances. In many of those applications, the actual languages described are regular, but context-free representations are much more concise and easier to create.

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  • Sitting at the intersection between statistics and machine learning, Dynamic Bayesian Networks have been applied with much success in many domains, such as speech recognition, vision, and computational biology. While Natural Language Processing increasingly relies on statistical methods, we think they have yet to use Graphical Models to their full potential. In this paper, we report on experiments in learning edit distance costs using Dynamic Bayesian Networks and present results on a pronunciation classification task. ...

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  • This paper discusses the work of automat- experiencer;if a person who uses this concept ically extracting Case Frames from Machine- believesthat seeing is a process of active selecReadable Dictionaries based on a three layer tion,then this person will assign to itssubject, a posteriori Case Theory[5]. The theory is intended to deal with two problems: 1. To dynamically adjust grains of Cases. This is where a posteriori comes from. 2. To provide a procedure to determine Cases. This is where three layer comes from. ...

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  • Model-theoretic semantics provides a computationally attractive means of representing the semantics of natural language. However, the models used in this formalism are static and are usually infinite. Dynamic models are incomplete models that include only the information needed for an application and to which information can be added. Dynamic models are basically approximations of larger conventional models, but differ is several interesting ways. The difference discussed here is the possibility of inconsistent information being included in the model. ...

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  • Speech style accommodation refers to shifts in style that are used to achieve strategic goals within interactions. Models of stylistic shift that focus on specific features are limited in terms of the contexts to which they can be applied if the goal of the analysis is to model socially motivated speech style accommodation. In this paper, we present an unsupervised Dynamic Bayesian Model that allows us to model stylistic style accommodation in a way that is agnostic to which specific speech style features will shift in a way that resembles socially motivated stylistic variation.

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