169,200 research outputs found
Development and calibration of a model for the dynamic simulation of fans with induction motors
In this paper a model for the dynamic simulation of fans used in mechanical air supply systems is
described. Thanks to this model, the behavior of fans subject to control by variable frequency drives
(VFD) can be predicted, which includes power absorbed by the fan and expected ventilation rates.
Hence, it can help design energy control systems for buildings. The proposed model was based on the
Modelica language and was developed from the dynamic phasor domain representation, because this
representation is a trade-off between the basic non transient representation, that is computationally efficient
but cannot describe fan dynamics, and the dynamic time domain model, that is the most representative
one but computationally very demanding. A comparison among these models showed that, within
fan frequency variations typical of ventilation systems in buildings, the phasor domain model is as representative
as the more complex dynamic time domain model in terms of prediction of the dynamic
behavior, that is neglected by the basic non transient model. Moreover, the new phasor domain model
was validated against measured data relative to a fan installed in a subway station in Barcelona.
Thanks to this model, energy consumption of dynamically driven fans can be estimated at the simulation
stage, at the expense of a reasonable computational effort
On relating functional modeling approaches: abstracting functional models from behavioral models
This paper presents a survey of functional modeling approaches and describes a strategy to establish functional knowledge exchange between them. This survey is focused on a comparison of function meanings and representations. It is argued that functions represented as input-output flow transformations correspond to behaviors in the approaches that characterize functions as intended behaviors. Based on this result a strategy is presented to relate the different meanings of function between the approaches, establishing functional knowledge exchange between them. It is shown that this strategy is able to preserve more functional information than the functional knowledge exchange methodology of Kitamura, Mizoguchi, and co-workers. The strategy proposed here consists of two steps. In step one, operation-on-flow functions are translated into behaviors. In step two, intended behavior functions are derived from behaviors. The two-step strategy and its benefits are demonstrated by relating functional models of a power screwdriver between methodologies
Hidden unity in the quantum description of matter
We introduce an algebraic framework for interacting quantum systems that
enables studying complex phenomena, characterized by the coexistence and
competition of various broken symmetry states of matter. The approach unveils
the hidden unity behind seemingly unrelated physical phenomena, thus
establishing exact connections between them. This leads to the fundamental
concept of {\it universality} of physical phenomena, a general concept not
restricted to the domain of critical behavior. Key to our framework is the
concept of {\it languages} and the construction of {\it dictionaries} relating
them.Comment: 10 pages 2 psfigures. Appeared in Recent Progress in Many-Body
Theorie
A modern vision of simulation modelling in mining and near mining activity
The paper represents the creation of the software simulation
system, which reproduce the basic processes of mining and near
production. It presents the consideration of such systems for both
traditional and non-traditional mineral extraction systems. The principles
of using computer recognition of processes are also presented in other
processes of carbon-containing raw materials transition, as well as power
production and waste utilization of mining production. These systems
considerably expand the manageability of a rather complicated mining
enterprise. The main purpose of such research is the simulation
reproduction of all technological processors associated with the activity of
mining enterprises on the display of the dispatch center. For this purpose,
is used so-called UML-diagrams, which allows to simulate mining and
near mining processes. Results of this investigation were included to the
Roman Dychkovskyi thesis of the scientific degree of the Doctor of the
Technique Sciences “Scientific Principles of Technologies Combination
for Coal Mining in Weakly Metamorphoses Rockmass”
Computation in Finitary Stochastic and Quantum Processes
We introduce stochastic and quantum finite-state transducers as
computation-theoretic models of classical stochastic and quantum finitary
processes. Formal process languages, representing the distribution over a
process's behaviors, are recognized and generated by suitable specializations.
We characterize and compare deterministic and nondeterministic versions,
summarizing their relative computational power in a hierarchy of finitary
process languages. Quantum finite-state transducers and generators are a first
step toward a computation-theoretic analysis of individual, repeatedly measured
quantum dynamical systems. They are explored via several physical systems,
including an iterated beam splitter, an atom in a magnetic field, and atoms in
an ion trap--a special case of which implements the Deutsch quantum algorithm.
We show that these systems' behaviors, and so their information processing
capacity, depends sensitively on the measurement protocol.Comment: 25 pages, 16 figures, 1 table; http://cse.ucdavis.edu/~cmg; numerous
corrections and update
Simulation of Electric Vehicles Combining Structural and Functional Approaches
In this paper the construction of a model that represents the behavior of an Electric Vehicle is described. Both the mechanical and the electric traction systems are represented using Multi-Bond Graph structural approach suited to model large scale physical systems. Then the model of the controllers, represented with a functional approach, is included giving rise to an integrated model which exploits the advantages of both approaches. Simulation and experimental results are aimed to illustrate the electromechanical interaction and to validate the proposal.Fil: Silva, Luis Ignacio. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional de Rio Cuarto. Facultad de Ingeniería. Grupo de Electronica Aplicada; ArgentinaFil: Magallán, Guillermo Andrés. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional de Rio Cuarto. Facultad de Ingeniería. Grupo de Electronica Aplicada; ArgentinaFil: de la Barrera, Pablo Martin. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional de Rio Cuarto. Facultad de Ingeniería. Grupo de Electronica Aplicada; ArgentinaFil: de Angelo, Cristian Hernan. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional de Rio Cuarto. Facultad de Ingeniería. Grupo de Electronica Aplicada; ArgentinaFil: Garcia, Guillermo. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional de Rio Cuarto. Facultad de Ingeniería. Grupo de Electronica Aplicada; Argentin
Cognitive Computation sans Representation
The Computational Theory of Mind (CTM) holds that cognitive processes are essentially computational, and hence computation provides the scientific key to explaining mentality. The Representational Theory of Mind (RTM) holds that representational content is the key feature in distinguishing mental from non-mental systems. I argue that there is a deep incompatibility between these two theoretical frameworks, and that the acceptance of CTM provides strong grounds for rejecting RTM. The focal point of the incompatibility is the fact that representational content is extrinsic to formal procedures as such, and the intended interpretation of syntax makes no difference to the execution of an algorithm. So the unique 'content' postulated by RTM is superfluous to the formal procedures of CTM. And once these procedures are implemented in a physical mechanism, it is exclusively the causal properties of the physical mechanism that are responsible for all aspects of the system's behaviour. So once again, postulated content is rendered superfluous. To the extent that semantic content may appear to play a role in behaviour, it must be syntactically encoded within the system, and just as in a standard computational artefact, so too with the human mind/brain - it's pure syntax all the way down to the level of physical implementation. Hence 'content' is at most a convenient meta-level gloss, projected from the outside by human theorists, which itself can play no role in cognitive processing
Object oriented design of a thermo-mechanical FEM code
An object oriented design is presented for a computer program that can perform\ud
thermo-mechanically coupled analyzes. The target of the design is a \ud
exible and robust\ud
computer program. It should be easy to adapt and extend, re-using existing code, without\ud
interfering with already established algorithms.\ud
The program uses publicly available toolkits that are currently emerging as C++ pack-\ud
ages. First of all the Standard C++ Library (formerly Standard Template Library) is\ud
used for packing items in container classes. Secondly the matrix and vector operations\ud
are derived from the Template Numerical Toolkit (TNT) and �nally (not essentially for\ud
the numerical part) a graphical user interface is made, based on the wxWindows package,\ud
that can generate a GUI for Motif and MS-Windows with the same code.\ud
Attention is given to the design of classes such as speci�c elements and material classes\ud
based on more general classes. A hierarchy of classes is constructed where general behavior\ud
is put high in the hierarchy and speci�c behavior low. The choice between inheritance and\ud
aggregation is made at several levels
Grounding Language for Transfer in Deep Reinforcement Learning
In this paper, we explore the utilization of natural language to drive
transfer for reinforcement learning (RL). Despite the wide-spread application
of deep RL techniques, learning generalized policy representations that work
across domains remains a challenging problem. We demonstrate that textual
descriptions of environments provide a compact intermediate channel to
facilitate effective policy transfer. Specifically, by learning to ground the
meaning of text to the dynamics of the environment such as transitions and
rewards, an autonomous agent can effectively bootstrap policy learning on a new
domain given its description. We employ a model-based RL approach consisting of
a differentiable planning module, a model-free component and a factorized state
representation to effectively use entity descriptions. Our model outperforms
prior work on both transfer and multi-task scenarios in a variety of different
environments. For instance, we achieve up to 14% and 11.5% absolute improvement
over previously existing models in terms of average and initial rewards,
respectively.Comment: JAIR 201
Examples of Artificial Perceptions in Optical Character Recognition and Iris Recognition
This paper assumes the hypothesis that human learning is perception based,
and consequently, the learning process and perceptions should not be
represented and investigated independently or modeled in different simulation
spaces. In order to keep the analogy between the artificial and human learning,
the former is assumed here as being based on the artificial perception. Hence,
instead of choosing to apply or develop a Computational Theory of (human)
Perceptions, we choose to mirror the human perceptions in a numeric
(computational) space as artificial perceptions and to analyze the
interdependence between artificial learning and artificial perception in the
same numeric space, using one of the simplest tools of Artificial Intelligence
and Soft Computing, namely the perceptrons. As practical applications, we
choose to work around two examples: Optical Character Recognition and Iris
Recognition. In both cases a simple Turing test shows that artificial
perceptions of the difference between two characters and between two irides are
fuzzy, whereas the corresponding human perceptions are, in fact, crisp.Comment: 5th Int. Conf. on Soft Computing and Applications (Szeged, HU), 22-24
Aug 201
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