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  • 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)… More >

  • Open 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… More >

  • Open 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… More >

  • Open 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 More >

  • Open 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). More >

  • Open 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… More >

  • Open 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… 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… More >

  • Open Access

    ARTICLE

    Inferring Spatial Distribution Patterns in Web Maps for Land Cover Mapping

    Yang Liu1, Zeying Lan4, Hanfa Xing2,3,*

    CMES-Computer Modeling in Engineering & Sciences, Vol.119, No.2, pp. 311-330, 2019, DOI:10.32604/cmes.2019.04284

    Abstract Web maps represent an effective source for land cover mapping in capturing human activities. However, due to spatial heterogeneity, previous research has mainly focused on generating land cover maps in partial areas. Inferring spatial distribution patterns in Web maps may provide an alternative perspective on improving map production on a larger scale. This paper represents a novel approach to investigating the spatial distribution in Web maps for land cover mapping. First, linear features from Web maps are utilised to delineate parcels with insufficient Web map data for classification. Then, spatial factors are constructed from point… More >

  • Open Access

    ARTICLE

    LNA Design for Future S Band Satellite Navigation and 4G LTE Applications

    Muhammad Arsalan1, Falin Wu1,*

    CMES-Computer Modeling in Engineering & Sciences, Vol.119, No.2, pp. 249-261, 2019, DOI:10.32604/cmes.2019.04430

    Abstract A good design of LNA for S band satellite navigation receivers and 4G LTE wireless communication system has been implemented in this paper. Due to increased congestion in the present L band, the S Band frequency from 2483.5-2500 MHz has been allocated for the future satellite navigation systems. For this purpose ATF-34143 amplifier (pHEMT) having high electron mobility and fast switching response has been chosen due to its very low Noise Figure (NF). The amplifier has been designed having bandwidth of 0.8 GHz from 1.8-2.6 GHz. Because of the large bandwidth, the amplifier could serve… More >

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