Home / Journals / CMES / Vol.119, No.3, 2019
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  • Open AccessOpen 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 AccessOpen Access

    ARTICLE

    Hybrid Deep VGG-NET Convolutional Classifier for Video Smoke Detection

    Princy Matlani1,*, Manish Shrivastava1
    CMES-Computer Modeling in Engineering & Sciences, Vol.119, No.3, pp. 427-458, 2019, DOI:10.32604/cmes.2019.04985
    Abstract Real-time wild smoke detection utilizing machine based identification method is not produced proper accuracy, and it is not suitable for accurate prediction. However, various video smoke detection approaches involve minimum lighting, and it is required for the cameras to identify the existence of smoke particles in a scene. To overcome such challenges, our proposed work introduces a novel concept like deep VGG-Net Convolutional Neural Network (CNN) for the classification of smoke particles. This Deep Feature Synthesis algorithm automatically generated the characteristics for relational datasets. Also hybrid ABC optimization rectifies the problem related to the slow convergence since complexity is reduced.… More >

  • Open AccessOpen Access

    ARTICLE

    A Normal Contact Stiffness Model of Joint Surface Based on Fractal Theory

    Kuo Xu1, Yuan Yuan1,*, Lihua Zhang1
    CMES-Computer Modeling in Engineering & Sciences, Vol.119, No.3, pp. 459-480, 2019, DOI:10.32604/cmes.2019.04677
    Abstract Based on the fractal theory, a normal contact stiffness model is established. In the model, the asperity is initially in elastic deformation under contact interference. As the interference is increased, a transition from elastic to elastoplastic to full plastic deformation occurs in this order. The critical elastic interference, the first elastoplastic critical interference and the second elastoplastic critical interference are scale-dependent. According to the truncated asperity size distribution function, the relations between the total normal contact stiffness and the total contact load are obtained. The results show the total normal contact stiffness depends on the range of frequency indexes of… More >

  • Open AccessOpen Access

    ARTICLE

    Design of Smith Predictor Based Fractional Controller for Higher Order Time Delay Process

    P. R. Hemavathy1,*, Y. Mohamed Shuaib2, S. K. Lakshmanaprabu1
    CMES-Computer Modeling in Engineering & Sciences, Vol.119, No.3, pp. 481-498, 2019, DOI:10.32604/cmes.2019.04731
    Abstract Normally all real world process in a process industry will have time delay. For those processes with time delays, obtaining satisfactory closed loop performances becomes very difficult. In this work, three interacting cylindrical tank process is considered for study and the objective of the work is to compensate for time delays using smith predictor structure and to maintain the level in the third tank. Input/Output data is generated for the three interacting tank process. It is approximated as Integer First Order Plus Dead Time system (IFOPDT) and Fractional First Order Plus Dead Time system (FFOPDT). Smith predictor based fractional order… More >

  • Open AccessOpen Access

    ARTICLE

    Experimental Study and Finite Element Analysis on Ultimate Strength of Dual-Angle Cross Combined Section Under Compression

    Hao Hu1,2, Jian He1,*, Lian Song1, Zhifeng Zhan1, Zhengliang Li3
    CMES-Computer Modeling in Engineering & Sciences, Vol.119, No.3, pp. 499-539, 2019, DOI:10.32604/cmes.2019.06266
    Abstract This paper investigates Q420 dual-angle cross combined section columns under axial and eccentric compression by conducting experiments. The specimen parameters, experimental setup, and test results are presented. It showed that local buckling occurred apparently for single internode specimens (λ<35) under axial compression, while overall bending buckling appeared for others, and no torsional buckling occurred. The theoretical formulas on stability factor were derived by the energy approach. Non-linear finite element models considering residual stress were established using ANSYS which were verified by the corresponding experimental results. The parametric study was to evaluate the effects of slenderness ratio (λ), width to thickness… More >

  • Open AccessOpen 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 AccessOpen Access

    ARTICLE

    3D Bounding Box Proposal for on-Street Parking Space Status Sensing in Real World Conditions

    Yaocheng Zheng1, Weiwei Zhang1,*, Xuncheng Wu1, Bo Zhao1
    CMES-Computer Modeling in Engineering & Sciences, Vol.119, No.3, pp. 559-576, 2019, DOI:10.32604/cmes.2019.05684
    Abstract Vision-based technologies have been extensively applied for on-street parking space sensing, aiming at providing timely and accurate information for drivers and improving daily travel convenience. However, it faces great challenges as a partial visualization regularly occurs owing to occlusion from static or dynamic objects or a limited perspective of camera. This paper presents an imagery-based framework to infer parking space status by generating 3D bounding box of the vehicle. A specially designed convolutional neural network based on ResNet and feature pyramid network is proposed to overcome challenges from partial visualization and occlusion. It predicts 3D box candidates on multi-scale feature… More >

  • Open AccessOpen Access

    ARTICLE

    Suppression of Ambipolar Conduction in Schottky Barrier Carbon Nanotube Field Effect Transistors: Modeling, Optimization Using Particle Swarm Intelligence, and Fabrication

    P. Reena Monica1,*, V. T. Sreedevi2
    CMES-Computer Modeling in Engineering & Sciences, Vol.119, No.3, pp. 577-591, 2019, DOI:10.32604/cmes.2019.04718
    Abstract A mathematical model and experimental analysis of the impact of oxide thickness on the ambipolar conduction in Schottky Barrier Carbon Nanotubes (CNTs) Field Effect Transistor (SB CNTFETs) is presented. Suppression of ambipolar conduction in SB CNTFETs is imperative in order to establish them as the future of IC technology. The ambipolar nature of SB CNTFETs leads to a great amount of leakage current. Employing a gate oxide dielectric of thickness, tox~50 nm suppresses the ambipolar behavior. In an SB CNTFET, it is the electric field at the source/drain contacts that control the conductance and the band bending length at the… More >

  • Open AccessOpen Access

    ARTICLE

    CHT/CFD Analysis of Thermal Sensitivity of a Transonic Film-Cooled Guide Vane

    Prasert Prapamonthon1,2,*, Soemsak Yooyen1, Suwin Sleesongsom1
    CMES-Computer Modeling in Engineering & Sciences, Vol.119, No.3, pp. 593-615, 2019, DOI:10.32604/cmes.2019.05579
    Abstract Thermal parameters are important variables that have great influence on life time of turbine vanes. Therefore, accurate prediction of the thermal parameters is essential. In this study, a numerical approach for conjugate heat transfer (CHT) and computational fluid dynamics (CFD) is used to investigate thermal sensitivity of a transonic guide vane which is fully film-cooled by 199 film holes. Thermal barrier coating (TBC), i.e., the typical TBC and a new one as the candidate TBC, and turbulence intensity (Tu), i.e., Tu=3.3%, 10% and 20%, are two variables used for the present study. At first the external surface temperatures of the… More >

  • Open AccessOpen 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 AccessOpen 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 >

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