Vol.121, No.3, 2019-Table of Contents

  • Computational Study of Collective Cell Migration By Meshfree Method
  • Abstract The collective cell migration behavior on a substrate was studied using RKPM meshfree method. The cells were modeled as nematic liquid crystal with hyperelastic cell nucleus. The cell-substrate and cell-cell interactions were modeled by coarse-grained potential forces. Through this study, the pulling and pushing phenomenon during collective cell migration process was observed and it was found that the individual cell mobility significantly influenced the collective cell migratory behavior. More self-propelled cells are in the system along the same direction, the faster the collective group migrates toward coordinated direction. The parametric study on cell-cell adhesion strength indicated that as the adhesion… More
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  • Stability Analysis of Cyber-Physical Micro Grid Load Frequency Control System with Time-Varying Delay and Non-Linear Load Perturbations
  • Abstract In a cyber-physical micro-grid system, wherein the control functions are executed through open communication channel, stability is an important issue owing to the factors related to the time-delay encountered in the data transfer. Transfer of feedback variable as discrete data packets in communication network invariably introduces inevitable time-delays in closed loop control systems. This delay, depending upon the network traffic condition, inherits a time-varying characteristic; nevertheless, it adversely impacts the system performance and stability. The load perturbations in a micro-grid system are considerably influenced by the presence of fluctuating power generators like wind and solar power. Since these non-conventional energy… More
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  • A Novel Probabilistic Hybrid Model to Detect Anomaly in Smart Homes
  • Abstract Anomaly detection in smart homes provides support to enhance the health and safety of people who live alone. Compared to the previous studies done on this topic, less attention has been given to hybrid methods. This paper presents a two-steps hybrid probabilistic anomaly detection model in the smart home. First, it employs various algorithms with different characteristics to detect anomalies from sensory data. Then, it aggregates their results using a Bayesian network. In this Bayesian network, abnormal events are detected through calculating the probability of abnormality given anomaly detection results of base methods. Experimental evaluation of a real dataset indicates… More
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  • Effect of the Wall Thickness of the Vessel on FFRCT of Carotid Artery Stenosis
  • Abstract Fractional flow reserve (FFR) computed from computed tomography angiography (CTA), i.e., FFRCT has been used in the clinic as a noninvasive parameter for functional assessment of coronary artery stenosis. It has also been suggested to be used in the assessment of carotid artery stenosis. The wall thickness of the vessel is an important parameter when establishing a fluid-structure coupling model of carotid stenosis. This work studies the effect of the vessel wall thickness on hemodynamic parameters such as FFRCT in carotid stenosis. Models of carotid stenosis are established based on CTA image data using computer-aided design software. It is assumed… More
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  • Review on Application of Artificial Intelligence in Civil Engineering
  • Abstract In last few years, big data and deep learning technologies have been successfully applied in various fields of civil engineering with the great progress of machine learning techniques. However, until now, there has been no comprehensive review on its applications in civil engineering. To fill this gap, this paper reviews the application and development of artificial intelligence in civil engineering in recent years, including intelligent algorithms, big data and deep learning. Through the work of this paper, the research direction and difficulties of artificial intelligence in civil engineering for the past few years can be known. It is shown that… More
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  • Geometrically Nonlinear Analysis of Structures Using Various Higher Order Solution Methods: A Comparative Analysis for Large Deformation
  • Abstract The suitability of six higher order root solvers is examined for solving the nonlinear equilibrium equations in large deformation analysis of structures. The applied methods have a better convergence rate than the quadratic Newton-Raphson method. These six methods do not require higher order derivatives to achieve a higher convergence rate. Six algorithms are developed to use the higher order methods in place of the NewtonRaphson method to solve the nonlinear equilibrium equations in geometrically nonlinear analysis of structures. The higher order methods are applied to both continuum and discrete problems (spherical shell and dome truss). The computational cost and the… More
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  • METARO3: Metamorphic Relation Group for Automatic Program Repair
  • Abstract The application of metamorphic testing (MT) on automatic program repair (APR-MT) is used to generate a patch without test oracles by examining whether the input metamorphic relation (MR) is satisfied or not. However, the delivered patch is plausible since it may satisfy the input MR but violate other MRs. This inspires us to propose an improved approach to enhance the effectiveness of APR-MT with metamorphic relation group. Our approach involves three major steps. First, we formally define the repair process of APR-MT by building the model of automatic program repair and metamorphic testing separately. Then, we propose the advanced model… More
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  • The Hemodynamic Study on the Effects of Entry Tear and Coverage in Aortic Dissection
  • Abstract In this work, the hemodynamic effects of the type-A aortic dissection in different entry and covering entry tear positions were mainly studied. It provides a new method or idea in the field of the aortic dissection hemodynamics, and it is of profound significance to provide basic theoretical research on the development of aortic dissection in the aspect of clinical judgment. Two type-A aortic dissection models with different entry tear positions (Model 1: The entry tear was located at the entrance of the ascending aorta, Model 2: The entry tear was located at the starting position of the descending aorta) were… More
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  • Solving Fully Fuzzy Nonlinear Eigenvalue Problems of Damped Spring-Mass Structural Systems Using Novel Fuzzy-Affine Approach
  • Abstract The dynamic analysis of damped structural system by using finite element method leads to nonlinear eigenvalue problem (NEP) (particularly, quadratic eigenvalue problem). In general, the parameters of NEP are considered as exact values. But in actual practice because of different errors and incomplete information, the parameters may have uncertain or vague values and such uncertain values may be considered in terms of fuzzy numbers. This article proposes an efficient fuzzy-affine approach to solve fully fuzzy nonlinear eigenvalue problems (FNEPs) where involved parameters are fuzzy numbers viz. triangular and trapezoidal. Based on the parametric form, fuzzy numbers have been transformed into… More
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  • Numerical Simulation of Debris Flow Runout Using Ramms: A Case Study of Luzhuang Gully in China
  • Abstract This study proposes a comprehensive method, which consists of field investigation, flume test and numerical simulation, to predict the velocity and sediment thickness of debris flow. The velocity and sediment thickness of the debris flow in mountainous areas can provide critical data to evaluate the geohazard, which will in turn help to understand the debris runout. The flume test of this debris prototype can provide friction coefficient and viscosity coefficient which are important for numerical simulation of debris flow. The relation between the key parameters in the numerical modelling using the Voellmy model and debris-flow rheology is discussed. Through simulation… More
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  • Gear Fault Detection Analysis Method Based on Fractional Wavelet Transform and Back Propagation Neural Network
  • Abstract A gear fault detection analysis method based on Fractional Wavelet Transform (FRWT) and Back Propagation Neural Network (BPNN) is proposed. Taking the changing order as the variable, the optimal order of gear vibration signals is determined by discrete fractional Fourier transform. Under the optimal order, the fractional wavelet transform is applied to eliminate noise from gear vibration signals. In this way, useful components of vibration signals can be successfully separated from background noise. Then, a set of feature vectors obtained by calculating the characteristic parameters for the de-noised signals are used to characterize the gear vibration features. Finally, the feature… More
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  • Explicit Shifted Second-kind Chebyshev Spectral Treatment for Fractional Riccati Differential Equation
  • Abstract This paper is confined to analyzing and implementing new spectral solutions of the fractional Riccati differential equation based on the application of the spectral tau method. A new explicit formula for approximating the fractional derivatives of shifted Chebyshev polynomials of the second kind in terms of their original polynomials is established. This formula is expressed in terms of a certain terminating hypergeometric function of the type 4F3(1). This hypergeometric function is reduced in case of the integer case into a certain terminating hypergeometric function of the type 3F2(1) which can be summed with the aid of Watson’s identity. Six illustrative… More
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