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  • Open Access

    ARTICLE

    Presenting a Signal to Noise Ratio Model Based on the Combined Effect of Sound Pressure Level/frequency, Exposure Time and Oral Potassium: Experimental Study in Rats

    Parvin Nassiri1, Sajad Zare2,*, Mohammad Reza Monazzam1, Akram Pourbakht3, Rasoul Hemmatjo4, Hossein ElahiShirvan2

    Sound & Vibration, Vol.54, No.1, pp. 17-25, 2020, DOI:10.32604/sv.2020.08395 - 01 March 2020

    Abstract Exposure to noise can lead to anatomical, nonauditory, and auditory impacts. The auditory influence of noise exposure is manifested in the form of Noise-induced hearing loss (NIHL). The current study aimed at present a signal to noise ratio model of otoacoustic emission of rats’ ears in the light of the combined effect of sound pressure level, sound frequency, exposure time, and potassium concentration of the used water. In total, 36 adult male rates, whose age varied from 3 to 4 months and had a weight of 200 ± 50 g, were randomly divided into 12… More >

  • Open Access

    ARTICLE

    Shadow detection and correction using a combined 3D GIS and image processing approach

    Safa Ridene1 , Reda Yaagoubi1, Imane Sebari1, Audrey Alajouanine2

    Revue Internationale de Géomatique, Vol.29, No.3, pp. 241-253, 2019, DOI:10.3166/rig.2019.00091

    Abstract While shadow can give useful information about size and shape of objects, it can pose problems in feature detection and object detection, thereby, it represents one of the major perturbator phenomenons frequently occurring on images and unfortunately, it is inevitable. “Shadows may lead to the failure of image analysis processes and also cause a poor quality of information which in turn leads to problems in implementation of algorithms.” (Mahajan and Bajpayee, 2015). It also affects multiple image analysis applications, whereby shadow cast by buildings deteriorate the spectral values of the surfaces. Therefore, its presence causes More >

  • Open Access

    ARTICLE

    Materials Selection Method Combined with Different MADM Methods

    Won-Chol Yang1.*, Son-Hak Chon1, Chol-Min Choe1, Un-Ha Kim1

    Journal on Artificial Intelligence, Vol.1, No.2, pp. 89-99, 2019, DOI:10.32604/jai.2019.07885

    Abstract Materials selection is a multiple attribute decision making (MADM) problem. A lot of MADM methods are applicable to materials selection, and it may produce considerable differences between the results of materials selection. But it is unknown which MADM method is better. So it is desirable to decide reasonable final result of materials selection in consideration of the individual results from different MADM methods. In this paper, materials selection method combined with different MADM methods is proposed. The method is based on final ranks of alternative materials, where the final ranks are determined from the ranks More >

  • Open Access

    ARTICLE

    Assessing the Forecasting of Comprehensive Loss Incurred by Typhoons: A Combined PCA and BP Neural Network Model

    Shuai Yuan1, Guizhi Wang1,*, Jibo Chen1, Wei Guo2

    Journal on Artificial Intelligence, Vol.1, No.2, pp. 69-88, 2019, DOI:10.32604/jai.2019.06535

    Abstract This paper develops a joint model utilizing the principal component analysis (PCA) and the back propagation (BP) neural network model optimized by the Levenberg Marquardt (LM) algorithm, and as an application of the joint model to investigate the damages caused by typhoons for a coastal province, Fujian Province, China in 2005-2015 (latest). First, the PCA is applied to analyze comprehensively the relationship between hazard factors, hazard bearing factors and disaster factors. Then five integrated indices, overall disaster level, typhoon intensity, damaged condition of houses, medical rescue and self-rescue capability, are extracted through the PCA; Finally,… More >

  • Open Access

    ARTICLE

    Photosynthetic Behaviour and Mineral Nutrition of Tamarix gallica Cultivated Under Aluminum and NaCl Combined Stress

    Dhouha Belhaj Sghaier1, Insaf Bankaji1, Sylvia Pedro2, Isabel Caçador2, Noomene Sleimi1,*

    Phyton-International Journal of Experimental Botany, Vol.88, No.3, pp. 239-252, 2019, DOI:10.32604/phyton.2019.06887

    Abstract The lack of knowledge of plant tolerance and differential response to aluminum (Al) encouraged many researchers, in the last decade, to elucidate Al toxicity and tolerance mechanisms. The current study reported the impact of Al, a toxic element with negative effects on plant growth and development, in halophytic plant Tamarix gallica. Plants were subjected to different Al concentrations (0, 200, 500 and 800 μM) with or without NaCl (200 mM) supplementation. Growth, photosynthesis and mineral content were assessed. Al stress had a significant decrease on shoots’ biomass production between 19 to 41%, and a little variation… More >

  • Open Access

    ABSTRACT

    Experimental Study on Mechanical Properties of Heat-Treated Hot Dry Rock Samples Under Combined Actions of Triaxial Stress and Pore Pressure

    Daobing Wang1,2, Bo Yu1,*, Dongliang Sun1, Dongxu Han1, Jingfa Li1, Hao Qin1, Peng Wang1, Xufei Yang1, Yajun Deng1

    The International Conference on Computational & Experimental Engineering and Sciences, Vol.22, No.3, pp. 147-148, 2019, DOI:10.32604/icces.2019.04786

    Abstract Hot dry rock (HDR), which is usually buried depth in 3-10 km, contains abundant heat energy for heating the house and making the electricity. Hydraulic fracturing is an effective technology to develop the geothermal resources. In hydraulic fracturing, a large amount of cold water is injected to generate the artificial fractures in subsurface. However, in previous studies, the study on the mechanical properties of HDR under the combined action of triaxial stress and pore pressure is still in its infancy and an exhaustive investigation is lacking. In this study, we experimentally investigated the heat-treated HDR… 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

    NUMERICAL STUDY AND CORRELATIONS DEVELOPMENT ON TWIN-PARALLEL JETS FLOW WITH NON-EQUAL OUTLET VELOCITIES

    Nidhal Hnaiena , Salwa Marzouka , Lioua Kolsia,b,*, Abdullah A.A.A. Al-Rashedc , Habib Ben Aissiaa , Jacques Jayd

    Frontiers in Heat and Mass Transfer, Vol.11, pp. 1-11, 2018, DOI:10.5098/hmt.11.8

    Abstract The purpose of the present paper is to numerically investigate two plane turbulent parallel jets using CFD model. A parametric study was carried out to evaluate the simultaneous effect of the nozzle spacing and the velocity ratio on the merge point (MP), the combined points (CP) as well as the upper (UVC) and lower (LVC) vortices centers positions. Results show that the velocity ratio significantly affects twin-parallel jets flow structure. In fact, increasing the velocity ratio moves the MP, CP, UVC and LVC further upstream along the longitudinal direction while deflecting toward the stronger jet More >

  • Open Access

    ARTICLE

    Friends Classification of Ego Network Based on Combined Features

    Jing Jiaa, Tinghuai Mab, Fan Xinga, William Faraha, Donghai Guana,c

    Intelligent Automation & Soft Computing, Vol.24, No.4, pp. 819-827, 2018, DOI:10.1080/10798587.2017.1355656

    Abstract Ego networks consist of a user and his/her friends and depending on the number of friends a user has, makes them cumbersome to deal with. Social Networks allow users to manually categorize their “circle of friends”, but in today’s social networks due to the unlimited number of friends a user has, it is imperative to find a suitable method to automatically administrate these friends. Manually categorizing friends means that the user has to regularly check and update his circle of friends whenever the friends list grows. This may be time consuming for users and the… More >

  • Open Access

    ARTICLE

    A User Authentication Protocol Combined with the Trust Model, Biometrics and ECC for Wireless Sensor Networks

    Tao Liu, Gan Huang*, Ping Zhang

    Intelligent Automation & Soft Computing, Vol.24, No.3, pp. 519-529, 2018, DOI:10.31209/2018.100000019

    Abstract In this article, a new user authentication protocol using trust model, elliptic curve cryptography and biometrics for WSNs is submitted. The result of the trust model analysis indicates that the model can improve the model’s ability of withstanding attacks from the malicious nodes. The results of safety analysis and performance analysis for our proposed user authentication protocol demonstrate that this protocol can be flexible to all sorts of common known attacks and performs similarly or better compared with some active user authentication protocols. It is suitable for WSNs which have a prominent request for the More >

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