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13th International Conference on Indoor Air Quality and Climate, Indoor Air 2014

作者： Mao, Yun-Feng Li, Zhuo Tao, Wen-Quan Centre of Modelling and Simulation of Environmental Engineering College of Environmental Science and Engineering Tongji University China Key Laboratory of Thermo-Fluid Science and Engineering of MOE School of Energy and Power Engineering Xi'an Jiaotong University China

Semi-volatile organic compounds (SVOCs) from indoor products pose great threats to human health. Some experimental studies on them have been conducted, but a general model could be an excellent alternative to predict the concentration distribution of SVOCs because SVOCs cost long term to reach equilibrium and are hard to be detected. This paper is expected to offer an apprehensive review of the physically-based models evolved from the VOC models and improved ones. Detailed analysis and critical discussions concentrating on the studies of SVOCs adsorbing on interior surfaces and particles are given. Current studies based on experiments and mechanistic models involved in influences of different factors on the emission rate and concentrations are summarized. Despite some great advances have been made, further model development, parameters identification and model validation are needed. Also, the micro and mesoscale methods are proposed here due to their strong potential in numerically predicting SVOC behaviors.

关键词： Volatile organic compounds

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Structural evolution in the packing of uniform spheres

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Physical Review E 2014年第3期89卷 032202-032202页

作者： Z. A. Tian K. J. Dong A. B. Yu []Laboratory for Simulation and Modelling of Particulate Systems School of Materials Science and Engineering University of New South Wales Sydney NSW 2052 Australia

Structural analysis is very important to understanding the physics of atomic or particle systems of various types. However, properly characterizing the structures at different packing fraction ρ is still a challenge. Here we analyze the local structure, in terms of the so-called common-neighbor-subcluster (CNS), of sphere packings with ρ ∈ (0.2, 0.74). We show that although complicated in structure, there are totally 39 kinds of CNSs of which 12 are dominant. The evolution of these CNSs with the increase of ρ is quantified, and the rules governing the evolution are explored. The results are found to be useful in constructing a comprehensive picture about the critical states and their transition in sphere packing.

关键词： STRUCTURAL analysis (engineering) PACKING fractions UNIFORM spaces PHASE transformations (Physics) MICROCLUSTERS CRITICAL point ATOMS

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engineering Nanoparticles for Energy and Environmental Applications

Engineering Nanoparticles for Energy and Environmental Appli...

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主题：引领工业革命新浪潮——2014第四届国际纳米科技大会

作者： Xuchuan Jiang Laboratory for Simulation and Modelling of Particulate Systems (SIMPAS)School of Materials Science and Engineering The University of New South Wales

Energy and environment have emerged as the most critical challenges to the sustainable global developments in the 21st century. Nanomaterials have attracted much more attention because of their unique ftmctional properties and broad applications in energy and environment. This presentation is going to talk about how to engineer nanoparticles for energy and environmental applications, through the development of synthesis strategies of metal oxide nanoparticles, fundamental understandings of particle growth and understanding the relationship between structure and functions, specificallyfocusing on gas sensors, smart window coatings and self-cleaning films in this talk.

关键词： engineering Nanoparticles for Energy and Environmental Applications

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Evolving fuzzy-model-based on c-regression clustering

Evolving fuzzy-model-based on c-regression clustering

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2014 IEEE Conference on Evolving and Adaptive Intelligent Systems, EAIS 2014

作者： Škrjanc, Igor Dovžan, Dejan Gomide, Fernando Laboratory of Modelling Simulation and Control Faculty of Electrical Engineering University of Ljubljana Tržaška 25 LjubljanaSI-1000 Slovenia Department of Computer Engineering and Automation DCA School of Electrical and Computer Engineering FEEC University of Campinas UNICAMP Av. Albert Einstein 400 Campinas SP13083-852 Brazil

ISBN: (纸本)9781479933471

In this paper a new approach to data stream evolving fuzzy model identification is given. The structure of the model is given in the form of Takagi-Sugeno and the partitioning of the input-output space is obtained using a fuzzy c-regression clustering method and the approach also involves the evolving properties. The method is given in a recursive form. The proposed approach is shown with two simple examples of nonlinear system approximation and nonlinear dynamical system modelling. © 2014 IEEE.

关键词： Nonlinear dynamical systems

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Structural, electronic and elastic properties of KCaF3 and RbCaF3 for vacuum-ultraviolet-transparent lens materials

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AIP Conference Proceedings 2015年第1期1661卷

作者： K. Ephraim Babu N. Murali K. Vijaya Babu B. Kishore Babu V. Veeraiah 1Modelling and Simulation in Materials Science Laboratory Department of Physics Andhra University Visakhapatnam-530 003 INDIA 2Department of Engineering Chemistry AUCE(A) Andhra University Visakhapatnam-530003 INDIA

The first principles calculation within the full potential linearized augmented plane wave (FP-LAPW) method is applied to study the structural, electronic and elastic properties of cubic perovskite-type compounds KCaF3 and RbCaF3. The exchange correlation effects are included through the LDA, GGA and modified Becke-Johnson (mBJ) exchange potential. The calculated structural properties such as equilibrium lattice constant, the bulk modulus and its pressure derivative are in good agreement with the available data. KCaF3 and RbCaF3 have wide and indirect band gaps and they agree with experimental values. The elastic properties such as elastic constants, anisotropy factor, shear modulus, Young’s modulus and Poisson’s ratio are obtained for the first time. KCaF3 and RbCaF3 are elastically anisotropic and the B/G ratio indicate that these are ductile materials.

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Evolving neural network with extreme learning for system modeling

Evolving neural network with extreme learning for system mod...

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IEEE Workshop on Evolving and Adaptive Intelligent Systems (EAIS)

作者： Raul Rosa Fernando Gomide Djan Dovzan Igor Skrjanc School of Electrical and Computer Engineering University of Campinas Campinas São Paulo Brazil Laboratory of Modelling Simulation and Control University of Ljubljana Ljubljana Slovenia

This p aper introduces an evolving feedforward single hidden layer neural network with extreme learning. The evolving neural network simultaneously adapts its structure and updates its weights using recursive algorithms. Neurons in the hidden layer are added whenever necessary by the implicit nature of the input data. The number of neurons in the hidden layer is found using a recursive granulation algorithm based on the concept of cloud. A cloud is a collection of points whose density implicitly defines a cluster. An extreme learning-based algorithm is used to compute hidden and output layers weights of the neural network. Computational results show that the evolving neural network modeling approach is competitive when compared with alternative evolving modeling approaches.

关键词： Neurons Data models Computer architecture Computational modeling Biological neural networks Clustering algorithms

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Robustness of continuous-variable entanglement via geometrical nonlinearity

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Physical Review A 2014年第2期90卷 024303-024303页

作者： Philippe Djorwé S. G. Nana Engo Paul Woafo Laboratory of Modelling and Simulation in Engineering Biomimetics and Prototypes Department of Physics Faculty of Science Universitiy of Yaoundé P.O. Box 812 Yaoundé Cameroon Laboratory of Photonics Department of Physics Faculty of Science University of Ngaoundéré P.O. Box 454 Ngaoundéré Cameroon

We propose a scheme to generate robust stationary continuous-variable entanglement in optomechanical systems, based on geometrical nonlinearity that occurs for large mechanical displacements. Such nonlinearity is often used to correct the dynamics of the systems in the strong-coupling regime. It appears that geometrical nonlinearity enhances the entanglement and shifts its maximum towards high detuning values. Using the experimental parameters, we find that such a scheme generates a very robust entanglement against thermal decoherence even at room temperature. Our results show that geometrical nonlinearity affects entanglement as the optomechanical quantum interface.

关键词： QUANTUM entanglement NONLINEAR theories OPTOMECHANICS FABRY-Perot resonators GROUND state (Quantum mechanics)

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Vehicle Tracking Using Particle Filter for Parking Management System

Vehicle Tracking Using Particle Filter for Parking Managemen...

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Artificial Intelligence with Applications in engineering and Technology (ICAIET)

作者： Kenneth Tze Kin Teo Renee Ka Yin Chin N.S.V. Kameswara Rao Farrah Wong Wei Leong Khong Universiti Malaysia Sabah Kota Kinabalu Sabah MY Modelling Simulation & Computing Laboratory Material & Mineral Research Unit Faculty of Engineering Universiti Malaysia Sabah Kota Kinabalu Malaysia

Increment of on-road vehicles has urged public venues to provide visitors with a larger area of parking space. As the parking area grew larger for example in a hyper mall, a well-organized parking management system is necessary to assist drivers in locating parking position. Besides, it can also help the management team to monitor vehicle flow in the parking lot. Vehicle tracking plays an important role to the parking management system, as accurate tracking result will lead to a more efficient management system. Among commercially available sensors, video sensor has been commonly deployed in the parking area due to its ability in obtaining a wide range of vehicle information. However, images captured using video sensors are limited under situations where vehicles are undergoing occlusion and maneuvering incidents. This will cause tracking error therefore affecting the performance of the parking management system. Particle filter has been proven as one of the promising techniques to track vehicle under disturbances. Therefore, particle filter is proposed to track vehicle under occlusion and maneuvering incidents in this study. Experimental results show that the particle filter is able to track a target vehicle under different disturbances.

关键词： Vehicles Target tracking Sensors Genetic algorithms Particle filters Color Shape

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Performance Analysis of Enhanced Genetic Algorithm Based Network Coding in Wireless Networks

Performance Analysis of Enhanced Genetic Algorithm Based Net...

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Asia International Conference on Modeling & simulation

作者： Kenneth Tze Kin Teo Renee Ka Yin Chin Shee Eng Tan Chun Hoe Lee Kit Guan Lim Universiti Malaysia Sabah Kota Kinabalu Sabah MY Modelling Simulation & Computing Laboratory Material & Mineral Research Unit Faculty of Engineering Universiti Malaysia Sabah Kota Kinabalu Malaysia

Network coding combines several packets from different sources and broadcasts the combined packet to several destinations in single transmission time slot. Each destination is capable to extract the intended information by decoding from a common packet. In short, network coding improves the throughput for wireless and wired networks but also causes side effects such as complexity of packets management and increased delay for coding opportunity. Hence, genetic algorithm is used to optimize the resources for network coding. Genetic algorithm will search for suitable routes to the destination according to the desired throughput with a desired multicast rate. In this paper, genetic algorithm is further enhanced in searching of optimum route for a packet. The simulation results show that enhanced genetic algorithm can adapt to various situations with different topologies, providing an optimum route for a packet in the network.

关键词： Genetic algorithms Biological cells Network coding Encoding Sociology Statistics Throughput

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Genetic Algorithm Based Objective Functions Comparative Study for Damage Detection and Localization in Beam Structures

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Journal of Physics: Conference Series 2015年第1期628卷

作者： S Khatir I Belaidi R Serra B Benaissa A Ait Saada University M'hamed Bougara Boumerdes LEMI Laboratory Research Team Modelling and Simulation in Mechanical Engineering 35000 Boumerdes Algeria Laboratoire de Mecanique et Rheologie INSA Centre Val de Loire LMR 3 Rue de la chocolaterie 41000 Blois France

The detection techniques based on non-destructive testing (NDT) defects are preferable because of their low cost and operational aspects related to the use of the analyzed structure. In this study, we used the genetic algorithm (GA) for detecting and locating damage. The finite element was used for diagnostic beams. Different structures considered may incur damage to be modelled by a loss of rigidity supposed to represent a defect in the structure element. Identification of damage is formulated as an optimization problem using three objective functions (change of natural frequencies, Modal Assurance Criterion MAC and MAC natural frequency). The results show that the best objective function is based on the natural frequency and MAC while the method of the genetic algorithm present its efficiencies in indicating and quantifying multiple damage with great accuracy. Three defects have been created to enhance damage depending on the elements 2, 5 and 8 with a percentage allocation of 50% in the beam structure which has been discretized into 10 elements. Finally the defect with noise was introduced to test the stability of the method against uncertainty.

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