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  • Open Access

    ARTICLE

    A Nonstandard Computational Investigation of SEIR Model with Fuzzy Transmission, Recovery and Death Rates

    Ahmed H. Msmali1, Fazal Dayan2,*, Muhammad Rafiq3, Nauman Ahmed4, Abdullah Ali H. Ahmadini1, Hassan A. Hamali5

    CMC-Computers, Materials & Continua, Vol.77, No.2, pp. 2251-2269, 2023, DOI:10.32604/cmc.2023.040266 - 29 November 2023

    Abstract In this article, a Susceptible-Exposed-Infectious-Recovered (SEIR) epidemic model is considered. The equilibrium analysis and reproduction number are studied. The conventional models have made assumptions of homogeneity in disease transmission that contradict the actual reality. However, it is crucial to consider the heterogeneity of the transmission rate when modeling disease dynamics. Describing the heterogeneity of disease transmission mathematically can be achieved by incorporating fuzzy theory. A numerical scheme nonstandard, finite difference (NSFD) approach is developed for the studied model and the results of numerical simulations are presented. Simulations of the constructed scheme are presented. The positivity,… More >

  • Open Access

    REVIEW

    Review of Black Start on New Power System Based on Energy Storage Technology

    Jin Fan1, Litao Niu2, Cuiping Li3, Gang Zhang2, He Li3, Yiming Wang3, Junhui Li3,*, Qinglong Song3, Jiacheng Sun3, Jianglong Pan4, Fangfang Lai4

    Energy Engineering, Vol.120, No.12, pp. 2857-2878, 2023, DOI:10.32604/ee.2023.029740 - 29 November 2023

    Abstract With the continuous development of new energy generation technology and the increasingly complex power grid environment, the traditional black start scheme cannot meet the requirements of today’s power grid in order to ensure the stable operation of the power system can be restored quickly in the face of large power outages, so a more complete black start scheme needs to be developed to cope with the new power system. With the development of energy storage technology, the limitations of the traditional black-start scheme can be solved by new energy farms with energy storage configuration. Therefore, More > Graphic Abstract

    Review of Black Start on New Power System Based on Energy Storage Technology

  • Open Access

    ARTICLE

    Off-Design Simulation of a CSP Power Plant Integrated with a Waste Heat Recovery System

    T. E. Boukelia1,2,*, A. Bourouis1, M. E. Abdesselem3, M. S. Mecibah3

    Energy Engineering, Vol.120, No.11, pp. 2449-2467, 2023, DOI:10.32604/ee.2023.030183 - 31 October 2023

    Abstract Concentrating Solar Power (CSP) plants offer a promising way to generate low-emission energy. However, these plants face challenges such as reduced sunlight during winter and cloudy days, despite being located in high solar radiation areas. Furthermore, their dispatch capacities and yields can be affected by high electricity consumption, particularly at night. The present work aims to develop an off-design model that evaluates the hourly and annual performances of a parabolic trough power plant (PTPP) equipped with a waste heat recovery system. The study aims to compare the performances of this new layout with those of… More >

  • Open Access

    ARTICLE

    Optimal Concentration of the Bubble Drainage Agent in Foam Drainage Gas Recovery Applications

    Shaopeng Liu1, Guowei Wang2,3,*, Pengfei Liu1, Dong Ye1, Jian Song1, Xing Liu1, Yang Cheng2,3

    FDMP-Fluid Dynamics & Materials Processing, Vol.19, No.12, pp. 3045-3058, 2023, DOI:10.32604/fdmp.2023.029810 - 27 October 2023

    Abstract Foam drainage is the flow of liquid through the interstitial spaces between bubbles driven by capillarity and gravity and resisted by viscous damping. The so-called foam drainage gas recovery technology is a technique traditionally used to mitigate the serious bottom-hole liquid loading in the middle and late stages of gas well production. In this context, determining the optimal concentration of the bubble drainage agent is generally crucial for the proper application of this method. In this study, a combination of indoor experiments and theoretical analysis have been used to determine the pressure drop related to… More >

  • Open Access

    ARTICLE

    Assessment of Nanoparticle-Enriched Solvents for Oil Recovery Enhancement

    Muayad M. Hasan1,*, Firas K. Al-Zuhairi2, Anfal H. Sadeq1, Rana A. Azeez1

    FDMP-Fluid Dynamics & Materials Processing, Vol.19, No.11, pp. 2827-2835, 2023, DOI:10.32604/fdmp.2023.027746 - 18 September 2023

    Abstract Solvents are generally used to reduce the viscosity of heavy crude oil and ultimately enhance oil recovery. Recently, a new method has been introduced where nanoparticles (NPs) are exploited to induce enhanced oil recovery owing to their ability to improve the mobility ratio, dampen the interfacial tension, and alter rock wettability. This study investigated the integration of nano-alumina (Al2O3) NPs with an n-hexane solvent. In particular, a Brookfield viscometer has been used to measure the crude oil viscosity and it has been found that NPs can effectively lead to a significant decrease in the overall oil More >

  • Open Access

    PROCEEDINGS

    Uniaxial Compressive Mechanical Properties of Three-Dimensional Graphene: Theoretical Models and Molecular Dynamics Simulations

    Xinliang Li1, Jiangang Guo1,*

    The International Conference on Computational & Experimental Engineering and Sciences, Vol.27, No.1, pp. 1-2, 2023, DOI:10.32604/icces.2023.09484

    Abstract As the first two-dimensional (2D) material discovered in experiments, graphene has attracted increasing attention from the scientific community [1]. And it possesses many superb mechanical, electronic and optical properties [2-4] due to its unique atomic structure. Its Young’s modulus and failure strength are 1TPa and 130GPa [5], respectively. Thus, 2D graphene has been extensively used in nanosensors and nanocomposites [6-8], etc. In order to fabricate graphene-based devices which inherit outstanding properties of 2D graphene, materials scientists are trying to use 2D graphene as building blocks to construct three-dimensional (3D) carbon nanomaterials, such as 3D graphene… More >

  • Open Access

    ARTICLE

    Exploring the Experiences of Personal Recovery among Mental Health Consumers and Their Caregivers Receiving Strength-Based Family Interventions

    Li-yu Song1,*, Su-ting Hsu2

    International Journal of Mental Health Promotion, Vol.25, No.8, pp. 915-925, 2023, DOI:10.32604/ijmhp.2023.019349 - 06 July 2023

    Abstract Background: This study explored the personal recovery of consumers and their caregivers receiving the strength-based family intervention. Method: A three-year project was implemented with 43 dyads from 5 community psychiatric rehabilitation agencies in northern, central, and Southern Taiwan. This paper presents qualitative analysis with a focus on describing the experiences of personal recovery. To gain a deeper understanding of the participants’ personal experiences and perspectives, semi-structured in-depth interviews were conducted on three occasions (six months after the inception of the experiment, 18 months after, and when the participants left the services of this study). Over… More >

  • Open Access

    ARTICLE

    Prediction-Based Thunderstorm Path Recovery Method Using CNN-BiLSTM

    Xu Yang1,2, Ling Zhuang1, Yuqiang Sun3, Wenjie Zhang4,5,*

    Intelligent Automation & Soft Computing, Vol.37, No.2, pp. 1637-1654, 2023, DOI:10.32604/iasc.2023.039879 - 21 June 2023

    Abstract The loss of three-dimensional atmospheric electric field (3DAEF) data has a negative impact on thunderstorm detection. This paper proposes a method for thunderstorm point charge path recovery. Based on the relationship between a point charge and 3DAEF, we derive corresponding localization formulae by establishing a point charge localization model. Generally, point charge movement paths are obtained after fitting time series localization results. However, AEF data losses make it difficult to fit and visualize paths. Therefore, using available AEF data without loss as input, we design a hybrid model combining the convolutional neural network (CNN) and… More >

  • Open Access

    ARTICLE

    Deletion and Recovery Scheme of Electronic Health Records Based on Medical Certificate Blockchain

    Baowei Wang1,2,*, Neng Wang1, Yuxiao Zhang1, Zenghui Xu1, Junhao Zhang1

    CMC-Computers, Materials & Continua, Vol.76, No.1, pp. 849-859, 2023, DOI:10.32604/cmc.2023.039749 - 08 June 2023

    Abstract The trusted sharing of Electronic Health Records (EHRs) can realize the efficient use of medical data resources. Generally speaking, EHRs are widely used in blockchain-based medical data platforms. EHRs are valuable private assets of patients, and the ownership belongs to patients. While recent research has shown that patients can freely and effectively delete the EHRs stored in hospitals, it does not address the challenge of record sharing when patients revisit doctors. In order to solve this problem, this paper proposes a deletion and recovery scheme of EHRs based on Medical Certificate Blockchain. This paper uses… More >

  • Open Access

    ARTICLE

    Waste Heat Recovery from a Drier Receiver of an A/C Unit Using Thermoelectric Generators

    Ali Jaber Abdulhamed1,*, Aws Al-Akam1, Ahmed A. Abduljabbar2, Mohammed H. Alkhafaji3

    Energy Engineering, Vol.120, No.8, pp. 1729-1746, 2023, DOI:10.32604/ee.2023.029069 - 05 June 2023

    Abstract Thermoelectric generators (TEGs) are considered promising devices for waste heat recovery from various systems. The Seebeck effect can be utilized to generate power using the residual heat emitted by the filter dryer receiver (FDR) of an air conditioning (A/C) system, which would otherwise go to waste. The study aims to build a set of thermoelectric generators (TEG) to collect the waste heat of the FDR and generate low-power electricity. A novel electrical circuit with two transformers is designed and fabricated to produce a more stable voltage for operation and charging. The thermoelectric generator (TEGs) was… More >

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