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IEEE Annual Conference on Decision and Control

作者： Guilhem Richard A. Agung Julius Calin Belta Program in Bioinformatics Boston University Boston MA 02215 Department of Electrical Computer and Systems Engineering Rensselaer Polytechnic Institute Troy NY 12180 Department of Mechanical Engineering the Division of Systems Engineering Boston University Boston MA 02215

ISBN: (纸本)9781467357159

This paper is concerned with the problem of identifying a discrete-time dynamical system model for a gene regulatory network with unknown topology using time series gene expression data. The topology of such a network can be characterized by a set of regulation hypotheses, one for each gene. In our earlier work, we formulated a convex optimization method to select the regulation hypotheses (and hence the network topology). In this paper, we further optimize the dynamics of the inferred network. Specifically, for a given topology, we minimize the l_2 distance between the experimental data and the model prediction. We illustrate the performance of our algorithm by identifying models for gene networks with known topology.

关键词： gene network identification monotone functions optimization

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Firefly approach optimized wavenets applied to multivariable identification of a thermal process

Firefly approach optimized wavenets applied to multivariable...

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IEEE EUROCON

作者： Leandro dos Santos Coelho Carlos Eduardo Klein Luiz Guilherme J. Luvizotto Viviana Cocco Mariani Industrial and Systems Engineering Graduate Program (PPGEPS) Pontifical Catholic University of Parana Volvo do Brasil Veiculos Ltda Department of Mechanical Engineering (PPGEM) Pontifical Catholic University of Parana

ISBN: (纸本)9781467322331

The combination of wavelet theory and feedforward artificial neural networks has resulted in wavelet neural networks or wavenets (WNNs). In these networks, the activation functions are described by discrete wavelet functions. Due to the promising properties of time-frequency localization and multi-resolution signal processing of the wavelet transform combined with the approximation capability of artificial neural networks, WNNs have found applications in dynamic system identification field during the past years. The paper aims at the development of the WNN based on traditional firefly algorithm (FA). The proposed FA is based on Tinkerbell map to tune the spread of wavelets and number of selected wavelet bases. The FA is a stochastic metaheuristic approach based on the idealized behaviour of the flashing characteristics of fireflies. In FA, the flashing light can be formulated in such a way that it is associated with the objective function to be optimized, which makes it possible to formulate the firefly algorithm. The efficacy of WNN with FA tuning is tested on the identification of a multivariable thermal process.

关键词： Wavelet neural network System identification Firefly optimization Chaotic sequences Metaheuristics

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Wavelet neural network approach applied to biomechanics of swimming

Wavelet neural network approach applied to biomechanics of s...

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UK Workshop on Computational Intelligence (UKCI)

作者： Weslly Puchalski Viviana Cocco Mariani Felipe Fidelis Schauenburg Leandro dos Santos Coelho Industrial and Systems Engineering Graduate Program PPGEPS Pontifical Catholic University of Parana Curitiba Brazil Department of Mechanical Engineering University of Parana Curitiba Brazil Department of Electrical Engineering Federal University of Parana Curitiba Brazil

An artificial neural network (ANN) consists of a number of interconnecting artificial neurons and employs mathematical or computational models for information processing. ANNs are suitable for handling large amounts of dynamic, noisy and nonlinear data. On the other hand, the wavelet theory provides a multi-resolution approximation for discriminate functions. The combination of the wavelet transforms theory with the basic concept of ANNs leads to new mapping networks called wavelet neural networks (WNNs) or wavenets, which are proposed as an alternative to feedforward ANNs for approximating arbitrary nonlinear functions. Generalized from radial basis function ANNs, WNNs are in fact feed-forward neural networks with one hidden layer, radial wavelets as activation functions in the hidden nodes and a linear output layer. The contribution of this paper is to evaluate the WNNs to model a parathlete swimmer behavior. The parathlete swimmer swims the breaststroke style using biomechanics data generated by the software tool called SWUMSUIT, which was developed in Tokyo Technological Institute in Japan. The forecasted results clearly show that WNN has good prediction properties. The proposed WNN modeling approach can benefit disabled swimmers (parathletes) to gain competitive advantage by studying the biomechanics involved in the sport and considering the help of simulations systems.

关键词： Wavelet transforms Biomechanics Mathematical model Modeling Biological system modeling Force Artificial neural networks

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Analysis of demand-supply interaction and inventory build-up strategies for products with short life cycles

Analysis of demand-supply interaction and inventory build-up...

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作者： Solis, Adriano O. Pan, Rong Paul, Bixler Nicoletti, Letizia School of Administrative Studies York University Toronto ON M3J 1P3 Canada School of Computing Informatics and Decision Systems Engineering Arizona State University Tempe AZ 85287-8809 United States Global Program Management Dell Inc. Austin TX 78753 United States Department of Mechanical Energy and Management Engineering University of Calabria 87036 Rende Cosenza Italy

Revenues and profits from short life cycle products will depend upon careful formulation and execution of production plans in response to demands in the marketplace. This research contributes to the development of the production and inventory build-up strategies for short life cycle products under different demand-supply scenarios. A modified Bass diffusion model is used to characterise the product demand pattern with consideration of demand-sales interaction. We develop cost models based on production costs, inventory carrying costs, backlog costs, and cost of lost sales for a number of different production scenarios. The optimal production rate is obtained by minimising the total cost. We also investigate the benefit of an initial build-up of inventory before the product's sales period starts. © 2013 Inderscience Enterprises Ltd.

关键词： Costs

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Modeling and simulation of the microalgae derived hydrogen process in compact photobioreactors

Modeling and simulation of the microalgae derived hydrogen p...

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IEEE Conference on Technologies for Sustainability

作者： J. V. C. Vargas D. A. Mitchell A. B. Mariano D. O. Correa J. C. Ordonez Graduate Program in Engineering and Materials Science PIPE and Sustainable Energy Research and Development Center NPDEAS Federal University of Parana Department of Mechanical Engineering Energy and Sustainability Center and Center for Advanced Power Systems Florida State University FSU

ISBN: (纸本)9781467346290

A general transient mathematical model for managing microalgae derived hydrogen production, with temperature dependence of the cultivation medium is developed. For that, the simplified physical model combines principles of classical thermodynamics, mass, species and heat transfer, resulting in a system of differential equations which are discretized in space using a three-dimensional cell-centered finite volume scheme. A Michaelis-Menten type expression is proposed for modeling the rate of H_2 production with dependence on O_2 inhibition. Tridimensional simulations are performed in order to determine the mass fractions distributions inside a compact photobioreactor (PBR), under different operating conditions. A relatively coarse mesh was used (6048 volume elements) to obtain converged results for a large compact PBR computational domain (5m×2m×8m). The largest computational time required for obtaining results was 560 s, i.e., less than 10 min. The numerical results for microalgal growth are validated by direct comparison to experimental measurements. Hydrogen production simulations are conducted to demonstrate PBR intermittent operation (aerobic and anaerobic stages) feasibility and adequate species evolution trends in an indirect biophotolysis approach. Therefore, after experimental validation for a particular H_2 production system, it is reasonable to state that the model could be used as an efficient tool for PBR systems thermal design, control and optimization for maximum H_2 production.

关键词： Chlamydomonas reinhardtii Scenedesmus sp. Photobioreactor architecture Early stage design tool

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Hardware-based parallel firefly algorithm for embedded applications

Hardware-based parallel firefly algorithm for embedded appli...

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NASA/ESA Conference on Adaptive Hardware and systems (AHS)

作者： Daniel M. Muñoz Carlos H. Llanos Leandro dos Santos Coelho Mauricio Ayala-Rincón Electronics Engineering Graduate Program Faculty of Gama University of Brasilia Brasilia DF Brazil Department of Mechanical Engineering University of Brasilia Brasilia DF Brazil Industrial and Systems Engineering Graduate Program LAS/PPGEPS Pontifical Catholic University of Parana Curitiba Parana Brazil Departments of Computer Science and Mathematics University of Brasilia Brasilia DF Brazil

ISBN: (纸本)9781467363822

The firefly algorithm (FA) is a new population-based metaheuristic bioinspired on the behavior of the flashing characteristics of fireflies. As a population-based algorithm, the FA suffers from large execution times specifically for embedded optimization problems with computational limitations. For reducing execution times we propose a hardware parallel architecture of the FA algorithm that facilitates the implementation in Field programmable Gate Arrays (FPGAs). In addition, this work proposes the application of the opposition-based learning (OBL) approach to the FA algorithm. The respective hardware implementation (HPOFA) was mapped into a Virtex5 FPGA device and numerical experiments using four well-known benchmark problems demonstrate that the opposition-based approach allows the FA algorithm to improve its functionality, preserving the swarm diversity and avoiding the premature convergence problem. Synthesis results point out that the HPOFA architecture is effectively mapped in hardware and is suitable for embedded applications.

关键词： Hardware Computer architecture Optimization Equations Random access memory Field programmable gate arrays Search problems

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A partially permeable mixed-mode crack embedded in a functionally graded magneto electro elastic layer

A partially permeable mixed-mode crack embedded in a functio...

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13th International Conference on Fracture（ICF13）

作者： Mongi Rekik Sami El-Borgi Zoubeida Ounaies Applied Mechanics and Systems Research Laboratory Tunisia Polytechnic School University of CarthageB.P.743.La Marsa 2078Tunisia Applied Mechanics and Systems Research Laboratory Tunisia Polytechnic SchoolUniversity of CarthageB.P.743La Marsa 2078Tunisia Texas A&M University at Qatar Engineering BuildingMechanical Engineering ProgramDohaQatar Department of Mechanical Engineering the Pennsylvania State UniversityUniversity ParkPA 16802USA

This paper focuses on the study of the influence of a partially permeable mixed-mode crack on the coupled response of a functionally graded magneto electro elastic material(FGMEEM).The crack is embedded in a 2D layer subjected to magneto electro mechanical *** material is graded in the direction orthogonal to the crack plane and is modeled

关键词： A partially permeable mixed-mode crack embedded in a functionally graded magneto electro elastic layer

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Origin of Overstretching Transitions in Single-Stranded Nucleic Acids

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Physical Review Letters 2013年第18期111卷 188302-188302页

作者： Zackary N. Scholl Mahir Rabbi David Lee Laura Manson Hanna S-Gracz Piotr E. Marszalek Program in Computational Biology and Bioinformatics Duke University Durham North Carolina 27708 USA Department of Mechanical Engineering and Materials Science Center for Biologically Inspired Materials and Material Systems Duke University Durham North Carolina 27708 USA Department of Molecular and Structural Biochemistry North Carolina State University Raleigh North Carolina 27708 USA

We combined single-molecule force spectroscopy with nuclear magnetic resonance measurements and molecular mechanics simulations to examine overstretching transitions in single-stranded nucleic acids. In single-stranded DNA and single-stranded RNA there is a low-force transition that involves unwinding of the helical structure, along with base unstacking. We determined that the high-force transition that occurs in polydeoxyadenylic acid single-stranded DNA is caused by the cooperative forced flipping of the dihedral angle formed between four atoms, O5’-C5’-C4’-C3’ (γ torsion), in the nucleic acid backbone within the canonical B-type helix. The γ torsion also flips under force in A-type helices, where the helix is shorter and wider as compared to the B-type helix, but this transition is less cooperative than in the B type and does not generate a high-force plateau in the force spectrums of A-type helices. We find that a similar high-force transition can be induced in polyadenylic acid single-stranded RNA by urea, presumably due to disrupting the intramolecular hydrogen bonding in the backbone. We hypothesize that a pronounced high-force transition observed for B-type helices of double stranded DNA also involves a cooperative flip of the γ torsion. These observations suggest new fundamental relationships between the canonical structures of single-and double-stranded DNA and the mechanism of their molecular elasticity.

关键词： NUCLEAR magnetic resonance spectroscopy SINGLE-stranded DNA NUCLEOTIDE sequence DEOXYRIBOSE ATOMIC force microscopy

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Acid-base chemical reaction model for nucleation rates in the polluted atmospheric boundary layer

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AIP Conference Proceedings 2013年第1期1527卷 647-650页

作者： Modi Chen Mari Titcombe Jingkun Jiang Coty Jen Chongai Kuang Marc L. Fischer Fred L. Eisele J. Ilja Siepmann David R. Hanson Jun Zhao Peter H. McMurry Department of Mechanical Engineering University of Minnesota Minneapolis MN USA Department of Chemistry University of Minnesota Minneapolis MN and Environmental Program Colorado College Colorado Springs CO USA Department of Mechanical Engineering University of Minnesota Minneapolis MN and Department of Environmental Engineering Tsinghua University Beijing China Environmental Sciences Department Brookhaven National Lab NY USA Sustainable Energy Systems Group LBL Berkeley CA USA National Center for Atmospheric Research Boulder CO USA Department of Chemistry University of Minnesota Minneapolis MN USA Department of Chemistry Augsburg College Minneapolis MN USA Department of Mechanical Engineering University of Minnesota Minneapolis MN and National Center for Atmospheric Research Boulder CO USA

Measurements of aerosol number distributions down to one molecule have provided information that we’ve used to develop a new approach for modeling atmospheric nucleation rates. Measurements were carried out with the Cluster Chemical Ionization Mass Spectrometer (Cluster CIMS), the scanning mobility spectrometer using a diethylene glycol condensation particle counter as detector (DEG SMPS), and an ambient pressure proton transfer mass spectrometer for ammonia and amines (AmPMS). The model explains nucleation as a result of cluster evolution due to a sequence of acid-base reactions. We conclude that the smallest stable cluster contains four sulfuric acid molecules. The model leads to a simple analytic expression for nucleation rates that is reasonably consistent (i.e., ± 10x) with atmospheric observations. The model predicts that nucleation rates are equal to a prefactor, P<1, times the sulfuric acid vapor collision rate, (i.e., J=P⋅0.5⋅k11 *[H2SO4]2 ).

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Length measurement based on Pulse repetition interval of a femtosecond optical frequency comb 12

Length measurement based on Pulse repetition interval of a f...

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12th International Conference of the European Society for Precision engineering and Nanotechnology, EUSPEN 2012

作者： Wei, Dong Takamasu, Kiyoshi Matsumoto, Hirokazu Global COE Program Mechanical Systems Innovation School of Engineering University of Tokyo Japan Department of Precision Engineering University of Tokyo Japan

ISBN: (纸本)9780956679000

We proposed pulse repetition interval-based Excess Fraction (PRIEF) method which can be realized in a modified Michelson interferometer for an arbitrary and absolute length measurement directly linked to a femtosecond optical frequency comb. In the modified Michelson interferometer an arbitrary and absolute distance can be estimation as an integral multiples and a fraction of the pulse repetition interval. The PRIEF method can be regarded as a multi-pulse repetition interval version of the multiple pulse train interference-based length measurement method. We can measure a fraction part by determining the distance between the peaks of an obtained multiple pulse trains interference fringes, and use conventional Excess Fraction method to decide integer part for an arbitrary and absolute length.

关键词： Natural frequencies

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