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  • Open Access

    ABSTRACT

    Kinetics of the ordered phase growth across the phase separation of a multi-component liquid crystalline mixture

    Sergei Bronnikov1, Sergei Kostromin, Vyacheslav Zuev

    The International Conference on Computational & Experimental Engineering and Sciences, Vol.9, No.4, pp. 207-214, 2009, DOI:10.3970/icces.2009.009.207

    Abstract Kinetics of the ordered phase growth in a melted multi-component liquid crystalline mixture subjected to a deep cooling was studied using polarizing optical microscopy. The droplets of the ordered phase revealed in the optical images across the phase transition were segmented and treated statistically. In the resulting histograms, two overlapping statistical ensembles related to two main components of the mixture were recognized. These ensembles were successfully described using principles of irreversible thermodynamics and the mean droplet diameters within both ensembles were determined. Analysis of the mean droplet diameter as a function of time allowed recognition of two regimes involved in… More >

  • Open Access

    ABSTRACT

    Alternating iteration method in multi-connected crack interactions

    C. K. Chen1

    The International Conference on Computational & Experimental Engineering and Sciences, Vol.9, No.3, pp. 163-178, 2009, DOI:10.3970/icces.2009.009.163

    Abstract A classical alternating iteration method is applied to evaluate the stress intensity factors for a mixed oriented crack approaching semi-infinite plane or a straight crack. Conventional Gaussian-Legedre quadrature scheme is employed for the numerical integration in the crack vs. free boundary interacting problems; however, averaged image stresses along crack surfaces are invoked to simplify the alternating procedures in crack vs. crack interaction. Good correlation was achieved between the iterated solutions and the available solutions in the literature. As crack approach the free semi-infinite plane, mode I affect increases, however, maximum mode II stress intensity factors may shift to the lower… More >

  • Open Access

    ABSTRACT

    Analytical solution for estimation of temperature-dependent material properties of metals using modified morse potential

    Kuo-Ning Chiang1, Chan-Yen Chou2, Chung-Jung Wu2, Chao-Jen Huang2, Ming-Chih Yew2

    The International Conference on Computational & Experimental Engineering and Sciences, Vol.9, No.3, pp. 130-142, 2009, DOI:10.3970/icces.2009.009.130

    Abstract An atomic-level analytical solution, together with a modified Morse potential, has been developed to estimate temperature-dependent thermal expansion coefficients (CTE) and elastic characteristics of bulk metals. In this study, inter-atomic forces are considered as a set of anharmonic oscillator networks which can be described by Morse potential, while the material properties can be defined by these inter-atomic forces; when temperature increases, the vibration of the anharmonic oscillator causes the phenomenon of temperature-dependent material properties. The results of analysis showed that the original Morse potential can give a reasonable prediction of the thermal expansion coefficients and elastic constants of metals at… More >

  • Open Access

    ABSTRACT

    Calculation of Energy Release Rate in Mode I Delamination of Angle Ply Laminated Composites

    K. Gordnian1, H. Hadavinia1, G. Simpson1, A. Aboutorabi1

    The International Conference on Computational & Experimental Engineering and Sciences, Vol.1, No.2, pp. 61-68, 2007, DOI:10.3970/icces.2007.001.061

    Abstract The compliance equation is used to calculate the energy release rate for angle ply laminated double cantilever composite beam specimen. Instead of the traditional approach of a beam on an elastic foundation, a second order shear thickness deformation beam theory (SSTDBT) has been considered. More >

  • Open Access

    ARTICLE

    Hardware Circuit Implementation and Performance Analysis of Three-Slot NP-CSMA

    Xu Lu1, Hongwei Ding1,*, Zejun Han1, Zhijun Yang1, Liqing Wang1, Liyong Bao1

    CMES-Computer Modeling in Engineering & Sciences, Vol.119, No.3, pp. 639-658, 2019, DOI:10.32604/cmes.2019.04813

    Abstract The development of wireless communication technology has become increasingly important in the communications industry. How to allocate limited channel resources reasonably and reliably to each competing user is a problem that the access protocol of the MAC (Multiple Access Control) layer needs to solve. As an important way of random access, NP-CSMA (Non Persistent Carrier Sense Multiple Access) has a higher network throughput rate when the arrival rate is higher. This paper analyzes and improves the implemented NP-CSMA model, and obtains a three-slot NP-CSMA model. The mathematical tool MATLAB is used to analyze the network throughput, delay and energy efficiency… More >

  • Open Access

    ARTICLE

    IoT Based Approach in a Power System Network for Optimizing Distributed Generation Parameters

    P. Shanmugapriya1, J. Baskaran2, C. Nayanatara1,*, D. P. Kothari3

    CMES-Computer Modeling in Engineering & Sciences, Vol.119, No.3, pp. 541-558, 2019, DOI:10.32604/cmes.2019.04074

    Abstract The objective of this paper is to provide a robust Virtual Power Plant (VPP) network collaborated with Internet of Things (IoT) which uses a conceptual model to integrate each device in the grid. Based on the functionality all the devices which are purely distributed within the grid are networked initially from residential units to substations and up to service data and demand centres. To ensure the trapping of the available power and the efficient transfer of Distributed Generation (DG) power to the grid Distribution Active Control (DAC) strategy is used. Synchronized optimization of DG parameter which includes DG size, location… More >

  • Open Access

    ARTICLE

    A Self-Organizing Memory Neural Network for Aerosol Concentration Prediction

    Qiang Liu1,*, Yanyun Zou2,3, Xiaodong Liu4

    CMES-Computer Modeling in Engineering & Sciences, Vol.119, No.3, pp. 617-637, 2019, DOI:10.32604/cmes.2019.06272

    Abstract Haze-fog, which is an atmospheric aerosol caused by natural or man-made factors, seriously affects the physical and mental health of human beings. PM2.5 (a particulate matter whose diameter is smaller than or equal to 2.5 microns) is the chief culprit causing aerosol. To forecast the condition of PM2.5, this paper adopts the related the meteorological data and air pollutes data to predict the concentration of PM2.5. Since the meteorological data and air pollutes data are typical time series data, it is reasonable to adopt a machine learning method called Single Hidden-Layer Long Short-Term Memory Neural Network (SSHL-LSTMNN) containing memory capability… More >

  • Open Access

    ARTICLE

    An Automated Approach to Generate Test Cases From Use Case Description Model

    Thamer A. Alrawashed1,*, Ammar Almomani2, Ahmad Althunibat1, Abdelfatah Tamimi1

    CMES-Computer Modeling in Engineering & Sciences, Vol.119, No.3, pp. 409-425, 2019, DOI:10.32604/cmes.2019.04681

    Abstract Test complexity and test adequacy are frequently raised by software developers and testing agents. However, there is little research works at this aspect on specification-based testing at the use case description level. Thus, this research proposes an automatic test cases generator approach to reduce the test complexity and to enhance the percentage of test coverage. First, to support the infrastructure for performing automatic, this proposed approach refines the use cases using use case describing template and save it in the text file. Then, the saved file is input to the Algorithm of Control Flow Diagram (ACFD) to convert use case… More >

  • Open Access

    ARTICLE

    A Novel Image Categorization Strategy Based on Salp Swarm Algorithm to Enhance Efficiency of MRI Images

    Mohammad Behrouzian Nejad1, Mohammad Ebrahim Shiri Ahmadabadi1, 2, *

    CMES-Computer Modeling in Engineering & Sciences, Vol.119, No.1, pp. 185-205, 2019, DOI:10.32604/cmes.2019.01838

    Abstract The main target of this paper is presentation of an efficient method for MRI images classification so that it can be used to diagnose patients and non-patients. Image classification is one of the prominent subset topics of machine learning and data mining that the most important image technique is the auto-categorization of images. MRI images with high resolution and appropriate accuracy allow physicians to decide on the diagnosis of various diseases and treat them. The auto categorization of MRI images toward diagnosing brain diseases has been being used to accurately diagnose hospitals, clinics, physicians and medical research centers. In this… More >

  • Open Access

    ARTICLE

    On a Reformulated Convolution Quadrature Based Boundary Element Method

    M. Schanz1

    CMES-Computer Modeling in Engineering & Sciences, Vol.58, No.2, pp. 109-130, 2010, DOI:10.3970/cmes.2010.058.109

    Abstract Boundary Element formulations in time domain suffer from two problems. First, for hyperbolic problems not too much fundamental solutions are available and, second, the time stepping procedure is expensive in storage and has stability problems for badly chosen time step sizes. The first problem can be overcome by using the Convolution Quadrature Method (CQM) for time discretisation. This as well improves the stability. However, still the storage requirements are large. A recently published reformulation of the CQM by Banjai and Sauter [Rapid solution of the wave equation in unbounded domains, SIAM J. Numer. Anal., 47, 227-249] reduces the time stepping… More >

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