Ling Cheng^1,2,3,*, Bingqing Guo^1,2, Kecheng Li^1,2

FDMP-Fluid Dynamics & Materials Processing, Vol.17, No.1, pp. 49-70, 2021, DOI:10.32604/fdmp.2021.011062 - 09 February 2021

Abstract The performances of a hybrid energy system for decentralized heating are investigated. The proposed energy system consists of a solar collector, an air-source heat pump, a gas-fired boiler and a hot water tank. A mathematical model is developed to predict the operating characteristics of the system. The simulation results are compared with experimental data. Such a comparison indicates that the model accuracy is sufficient. The influence of the flat plate solar collector area on the economic and energy efficiency of such system is also evaluated through numerical simulations. Finally, this system is optimized using the More >

Taidong Xu^1,2, Hao Liu², Dejun Zhang^1,2, Yadong Li², Xiaoming Zhou^2,*

FDMP-Fluid Dynamics & Materials Processing, Vol.17, No.1, pp. 109-121, 2021, DOI:10.32604/fdmp.2021.010608 - 09 February 2021

Abstract With the progressive increase in the number of transistors that can be accommodated on a single integrated circuit, new strategies are needed to extract heat from these devices in an efficient way. In this regard methods based on the combination of the so-called “jet impingement” and “micro-channel” approaches seem extremely promising for possible improvement and future applications in electronics as well as the aerospace and biomedical fields. In this paper, a hybrid heat sink based on these two technologies is analysed in the frame of an integrated model. Dedicated CFD simulation of the coupled flow/temperature More >

Kuipeng Li^1,2, Hua Han¹, Yunhui Xie¹, Xiaomei Sun^1,*

Phyton-International Journal of Experimental Botany, Vol.90, No.2, pp. 583-593, 2021, DOI:10.32604/phyton.2021.013912 - 07 February 2021

Abstract Optimization of in vitro adventitious root induction contributes to the development of a large-scale production system of hybrid clone seedlings of larch (Larix spp.). We used orthogonal testing to investigate the factors that affect the rooting of hybrid larch shoots–activated carbon, vitamin B1, sucrose, glycine, glutamic acid (Glu), cysteine, pH, and induction time in the dark and indole-3-butyric acid (IBA). Variance analysis showed that the effects of sucrose concentration on rooting rate, survival rate, and average root number, pH on the average number of roots; and Glu on survival rate were all significant (p < 0.05) when More >

V. Vidya Lakshmi^1,*, J. S. Leena Jasmine²

Computer Systems Science and Engineering, Vol.37, No.2, pp. 233-245, 2021, DOI:10.32604/csse.2021.015700 - 01 March 2021

Abstract Melanoma or skin cancer is the most dangerous and deadliest disease. As the incidence and mortality rate of skin cancer increases worldwide, an automated skin cancer detection/classification system is required for early detection and prevention of skin cancer. In this study, a Hybrid Artificial Intelligence Model (HAIM) is designed for skin cancer classification. It uses diverse multi-directional representation systems for feature extraction and an efficient Exponentially Weighted and Heaped Multi-Layer Perceptron (EWHMLP) for the classification. Though the wavelet transform is a powerful tool for signal and image processing, it is unable to detect the intermediate More >

Naira Elazab¹, Shaker El-Sappagh^2,3, Ahmed Atwan⁴, Hassan Soliman¹, Mohammed Elmogy¹, Louai Alarabi^5,*, Nagham Mekky¹

CMC-Computers, Materials & Continua, Vol.67, No.2, pp. 1915-1932, 2021, DOI:10.32604/cmc.2021.015067 - 05 February 2021

Abstract Realism rendering methods of outdoor augmented reality (AR) is an interesting topic. Realism items in outdoor AR need advanced impacts like shadows, sunshine, and relations between unreal items. A few realistic rendering approaches were built to overcome this issue. Several of these approaches are not dealt with real-time rendering. However, the issue remains an active research topic, especially in outdoor rendering. This paper introduces a new approach to accomplish reality real-time outdoor rendering by considering the relation between items in AR regarding shadows in any place during daylight. The proposed method includes three principal stages… More >

Hegazy Rezk^1,2,*, Ahmed Fathy^3,4, Mokhtar Aly^5,6, Mohamed N. Ibrahim^7,8,9

CMC-Computers, Materials & Continua, Vol.67, No.2, pp. 2271-2281, 2021, DOI:10.32604/cmc.2021.014590 - 05 February 2021

Abstract Hydrocarbons, carbon monoxide and other pollutants from the transportation sector harm human health in many ways. Fuel cell (FC) has been evolving rapidly over the past two decades due to its efficient mechanism to transform the chemical energy in hydrogen-rich compounds into electrical energy. The main drawback of the standalone FC is its slow dynamic response and its inability to supply rapid variations in the load demand. Therefore, adding energy storage systems is necessary. However, to manage and distribute the power-sharing among the hybrid proton exchange membrane (PEM) fuel cell (FC), battery storage (BS), and… More >

A. S. Al-Waisy¹, Mazin Abed Mohammed¹, Shumoos Al-Fahdawi¹, M. S. Maashi², Begonya Garcia-Zapirain³, Karrar Hameed Abdulkareem⁴, S. A. Mostafa⁵, Nallapaneni Manoj Kumar⁶, Dac-Nhuong Le^7,8,*

CMC-Computers, Materials & Continua, Vol.67, No.2, pp. 2409-2429, 2021, DOI:10.32604/cmc.2021.012955 - 05 February 2021

Abstract Coronavirus (COVID-19) epidemic outbreak has devastating effects on daily lives and healthcare systems worldwide. This newly recognized virus is highly transmissible, and no clinically approved vaccine or antiviral medicine is currently available. Early diagnosis of infected patients through effective screening is needed to control the rapid spread of this virus. Chest radiography imaging is an effective diagnosis tool for COVID-19 virus and follow-up. Here, a novel hybrid multimodal deep learning system for identifying COVID-19 virus in chest X-ray (CX-R) images is developed and termed as the COVID-DeepNet system to aid expert radiologists in rapid and… More >

Liqun Wang¹, Zengtao Chen², Guolai Yang^1,*

CMES-Computer Modeling in Engineering & Sciences, Vol.126, No.2, pp. 479-503, 2021, DOI:10.32604/cmes.2021.011954 - 21 January 2021

Abstract This paper proposes a non-intrusive uncertainty analysis method for artillery dynamics involving hybrid uncertainty using polynomial chaos expansion (PCE). The uncertainty parameters with sufficient information are regarded as stochastic variables, whereas the interval variables are used to treat the uncertainty parameters with limited stochastic knowledge. In this method, the PCE model is constructed through the Galerkin projection method, in which the sparse grid strategy is used to generate the integral points and the corresponding integral weights. Through the sampling in PCE, the original dynamic systems with hybrid stochastic and interval parameters can be transformed into… More >

S. Praveen Kumar^1,*, S. Appavu alias Balamurugan², S. Kannan³

Intelligent Automation & Soft Computing, Vol.27, No.2, pp. 333-346, 2021, DOI:10.32604/iasc.2021.013310 - 18 January 2021

Abstract The establishment of multi-channel routing systems in WSNs has shown the reliability of the transmission across several channels. Meeting the service quality needs of all the applications is still a challenging task. Various surveys carried out, have suggested for the development of user-oriented Wireless Sensor Network (WSN) architectures. Throughout WSNs, the Optimized Link State Routing (OLSR) and the Adhoc On Demand Vector (AODV) are the multi-way routing systems that exhibit the reliability of the multipath delivery to fulfill the customer service quality requirements. The topology is modified only on requests, by selecting the best route… More >

Boheng Zhu¹, Huaxin Liu^1,*, Genjin Liu², Abasal Hussain², Xiaofei Zhang³, Xuezhi Wang¹

Journal of Renewable Materials, Vol.9, No.3, pp. 507-521, 2021, DOI:10.32604/jrm.2021.013580 - 14 January 2021

Abstract The aim of this study is to improve the bond performance of basalt fiber reinforced polymer (BFRP) bars and recycled aggregate concrete (RAC) after being exposed to high temperatures. The bond behavior (failure modes, bond strength, bond stress-slip curves) between BFRP bars and hybrid fiber recycled aggregate concrete (HFRAC) after being exposed to temperatures ranging from 20°C up to 500°C was studied by using pull-out tests. The effect of high temperatures on mechanical properties of concrete (compressive strength, splitting tensile strength) and tensile strength of BFRP bars was also investigated. The bond strength decreased as More >