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  • Open Access

    ARTICLE

    Sonar Image Target Detection for Underwater Communication System Based on Deep Neural Network

    Lilan Zou1, Bo Liang1, Xu Cheng2, Shufa Li1,*, Cong Lin1,*

    CMES-Computer Modeling in Engineering & Sciences, Vol., , DOI:10.32604/cmes.2023.028037

    Abstract Target signal acquisition and detection based on sonar images is a challenging task due to the complex underwater environment. In order to solve the problem that some semantic information in sonar images is lost and model detection performance is degraded due to the complex imaging environment, we proposed a more effective and robust target detection framework based on deep learning, which can make full use of the acoustic shadow information in the forward-looking sonar images to assist underwater target detection. Firstly, the weighted box fusion method is adopted to generate a fusion box by weighted fusion of prediction boxes with… More >

  • Open Access

    ARTICLE

    Computational Analysis of Heat and Mass Transfer in Magnetized Darcy-Forchheimer Hybrid Nanofluid Flow with Porous Medium and Slip Effects

    Nosheen Fatima1, Nabeela Kousar1, Khalil Ur Rehman2,3,*, Wasfi Shatanawi2,4,5

    CMES-Computer Modeling in Engineering & Sciences, Vol., , DOI:10.32604/cmes.2023.026994

    Abstract A computational analysis of magnetized hybrid Darcy-Forchheimer nanofluid flow across a flat surface is presented in this work. For the study of heat and mass transfer aspects viscous dissipation, activation energy, Joule heating, thermal radiation, and heat generation effects are considered. The suspension of nanoparticles singlewalled carbon nanotubes (SWCNTs) and multi-walled carbon nanotubes (MWCNTs) are created by hybrid nanofluids. However, single-walled carbon nanotubes (SWCNTs) produce nanofluids, with water acting as conventional fluid, respectively. Nonlinear partial differential equations (PDEs) that describe the ultimate flow are converted to nonlinear ordinary differential equations (ODEs) using appropriate similarity transformation. The ODEs are dealt with… More >

  • Open Access

    TUTORIAL

    Loss Factors and their Effect on Resonance Peaks in Mechanical Systems

    Roman Vinokur*

    Sound & Vibration, Vol., , DOI:10.32604/sv.2023.041784

    Abstract The loss factors and their effects on the magnitude and frequency of resonance peaks in various mechanical systems are reviewed for acoustic, vibration, and vibration fatigue applications. The main trends and relationships were obtained for linear mechanical models with hysteresis damping. The well-known features (complex module of elasticity, total loss factor, etc.) are clarified for practical engineers and students, and new results are presented (in particular, for 2-DOF in-series models with hysteresis friction). The results are of both educational and practical interest and may be applied for NVH analysis and testing, mechanical and aeromechanical design, and noise and vibration control… More >

  • Open Access

    ARTICLE

    Appraisal of Improvement in Physiological and Metabolic Processes by Exogenously Applied Natural and Synthetic Ascorbic Acid in Okra (Abelmoschus esculentus L.) Fruit Subjected to Water Deficit Stress

    Muhammad Younis1, Nudrat Aisha Akram1,*, Arafat Abdel Hamed Abdel Latef2,*, Muhammad Ashraf3

    Phyton-International Journal of Experimental Botany, Vol., , DOI:10.32604/phyton.2023.028801

    Abstract To counteract the effects of drought stress, scientists have adopted several approaches including the use of different chemicals both inorganic and organic, which is contemplated as a highly efficient and cost-effective shot-gun approach. Ascorbic acid (AsA) is a potential organic substance, which widely occurs in plants, and is considered to be an effective antioxidant to counteract reactive oxygen species (ROS). Thus, a pot experiment was performed to assess the relative mitigating impacts of synthetic AsA and naturally occurring AsA in the form of lemon juice (LJ) and orange juice (OJ) on two cultivars of okra (Abelmoschus esculentus L.) namely Sabz… More >

  • Open Access

    ARTICLE

    Effects of Biowaste-Derived Hydrochar on Anaerobic Digestion: Insights into Hydrochar Characteristics

    Hongqiong Zhang1,2,#, Xu Wang3,#, Zhaojing Qian4, Buchun Si1,4,*, Kai Jin5, Tengfei Wang5

    Journal of Renewable Materials, Vol., , DOI:10.32604/jrm.2023.028438

    Abstract Hydrochar prepared with four typical biowastes, pine wood, food waste, digested sewage sludge, and Chlorella were applied for the promotion of anaerobic digestion. The gas production and substrate composition were analyzed associated with the hydrochar characteristics. The results suggested that Chlorella hydrochar (C-C) showed the highest cumulative yield of methane (approximately 345 mL) with high total organic carbon (TOC) removal efficiency and low volatile fatty acids (VAFs) concentration. Especially, food waste hydrochar (F-C) showed a poor effect on anaerobic digestion and aroused 1.4–1.6 g/L accumulation of VAFs, in which the toxic components may account for the low efficiency. The C-C… More >

  • Open Access

    ARTICLE

    Nail Holding Performance of Self-Tapping Screws on Masson Pine and Chinese Fir Dimension Lumbers

    De Li1,#, Bengang Zhang1,#, Yuan Tu1, Guoming Xiao1, Meifen Tian2, Xiaoxue Xu1, Xiao Zhong1, Qiaoyan Zhang3, Zhigang Wu1,*, Jiankun Liang4,*

    Journal of Renewable Materials, Vol., , DOI:10.32604/jrm.2023.027895

    Abstract Screw connection is a type most commonly applied to timber structures. As important commercial tree species in China, Masson pine and Chinese fir have the potential to prepare wood structures. In this study, the effects of the diameter of the self-tapping screw and the guiding bores on the nail holding performance on different sections of Masson pine and Chinese fir dimension lumbers were mainly explored. The results showed that: (1) The nail holding strength of the tangential section was the maximum, followed by that of the radial section, and that of the cross section was the minimum. (2) The nail… More >

  • Open Access

    ARTICLE

    Influence of Bayer Red Mud on the Operational and Mechanical Characteristics of Composite Cement Mortar

    Cheng Hu1,2, Weiheng Xiang1,3,*, Ping Chen2,3, Yi Yang4,5, Libo Zhou3, Jiufang Jiang5, Shunkai Li2,4, Yang Ming1, Qing Li3

    Journal of Renewable Materials, Vol., , DOI:10.32604/jrm.2023.027544

    Abstract The aim of this study is to enhance the value and utilization of red mud generated in the Bayer process by preparing composite cement mortars. The effects of two different types of Bayer red mud with varying physical and chemical characteristics on the fluidity, mechanical strength, mineral composition, and microstructure of the composite cement mortar were systematically evaluated. The results showed that the optimal addition of red mud A was 10 wt%, while it was 20 wt% for red mud B. The mechanical properties of the composite cement mortar met the standards for P·O42.5 cement. Furthermore, the composite mortar with… More >

  • Open Access

    ARTICLE

    Optical and Mechanical Properties of Ramie Fiber/Epoxy Resin Transparent Composites

    Chunhua Liu1, Dongfang Zou1, Qinqin Huang1, Shang Li2, Xia Zheng1, Xingong Li1,*

    Journal of Renewable Materials, Vol., , DOI:10.32604/jrm.2023.028111

    Abstract The residual resources of ramie fiber-based textile products were used as raw materials. Ramie fiber felt (RF) was modified by NaClO2 aqueous solution and then impregnated with water-based epoxy resin (WER). RF/WER transparent composite materials were prepared by lamination hot pressing process. The composite materials’color difference, transmittance, haze, density, water absorption, and mechanical properties were determined to assess the effects of NaClO2 treatment and the number of ramie fiber layers on the properties of the prepared composites. The results showed significantly improved optical and mechanical properties of the RF/WER transparent composites after NaClO2 treatment. With the increase of ramie fiber… More >

  • Open Access

    ARTICLE

    Preparation of Iron-Pillared Bentonite/Oyster Shell Composite and Phosphate Adsorption in Water

    Zhijian Zhou1, Jie Yan1,*, Xinxiang Du1, Qiulin Xu1, Zijun Wu2, Jinlan Yang3, Xitong Fang1, Qiuling Zhong2, Qiaoguang Li1,*

    Journal of Renewable Materials, Vol., , DOI:10.32604/jrm.2023.027852

    Abstract Iron-pillared bentonite (FB) was prepared by Fe(III) modified bentonite, and then the composites (FB-OS) were prepared by iron-pillared bentonite and oyster shell powder. The composites were characterized by FTIR, SEM, TGA, and EDS, and the phosphorus removal test was carried out. The results showed that FB-OS contained a large amount of CaO. Its structure was compact, but there were gaps in it. The maximum bending stress and compressive strength were 43.7 N and 0.927 MPa, respectively. The phosphorus removal test showed that the phosphorus removal rate of FB-OS was more than 90%, and measured the maximum adsorption capacity was 48.31… More >

  • Open Access

    ARTICLE

    Multi Head Deep Neural Network Prediction Methodology for High-Risk Cardiovascular Disease on Diabetes Mellitus

    B. Ramesh, Kuruva Lakshmanna*

    CMES-Computer Modeling in Engineering & Sciences, Vol., , DOI:10.32604/cmes.2023.028944

    Abstract Major chronic diseases such as Cardiovascular Disease (CVD), diabetes, and cancer impose a significant burden on people and healthcare systems around the globe. Recently, Deep Learning (DL) has shown great potential for the development of intelligent mobile Health (mHealth) interventions for chronic diseases that could revolutionize the delivery of health care anytime, anywhere. The aim of this study is to present a systematic review of studies that have used DL based on mHealth data for the diagnosis, prognosis, management, and treatment of major chronic diseases and advance our understanding of the progress made in this rapidly developing field. Type 2… More >

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