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  • Open Access

    ARTICLE

    A Fault Risk Warning Method of Integrated Energy Systems Based on RelieF-Softmax Algorithm

    Qidai Lin1, Ying Gong2,*, Yizhi Shi1, Changsen Feng2, Youbing Zhang2

    CMES-Computer Modeling in Engineering & Sciences, Vol.132, No.3, pp. 929-944, 2022, DOI:10.32604/cmes.2022.020752 - 27 June 2022

    Abstract The integrated energy systems, usually including electric energy, natural gas and thermal energy, play a pivotal role in the energy Internet project, which could improve the accommodation of renewable energy through multi-energy complementary ways. Focusing on the regional integrated energy system composed of electrical microgrid and natural gas network, a fault risk warning method based on the improved RelieF-softmax method is proposed in this paper. The raw data-set was first clustered by the K-maxmin method to improve the preference of the random sampling process in the RelieF algorithm, and thereby achieved a hierarchical and non-repeated… More >

  • Open Access

    ARTICLE

    Effect Evaluation and Intelligent Prediction of Power Substation Project Considering New Energy

    Huiying Wu*, Meihua Zou, Ye Ke, Wenqi Ou, Yonghong Li, Minquan Ye

    CMES-Computer Modeling in Engineering & Sciences, Vol.132, No.3, pp. 739-761, 2022, DOI:10.32604/cmes.2022.019714 - 27 June 2022

    Abstract The evaluation of the implementation effect of the power substation project can find out the problems of the project more comprehensively, which has important practical significance for the further development of the power substation project. To ensure accuracy and real-time evaluation, this paper proposes a novel hybrid intelligent evaluation and prediction model based on improved TOPSIS and Long Short-Term Memory (LSTM) optimized by a Sperm Whale Algorithm (SWA). Firstly, under the background of considering the development of new energy, the influencing factors of power substation project implementation effect are analyzed from three aspects of technology, More >

  • Open Access

    ARTICLE

    Enhanced Metaheuristics-Based Clustering Scheme for Wireless Multimedia Sensor Networks

    R. Uma Mageswari1, Sara A. Althubiti2, Fayadh Alenezi3, E. Laxmi Lydia4, Gyanendra Prasad Joshi5, Woong Cho6,*

    CMC-Computers, Materials & Continua, Vol.73, No.2, pp. 4179-4192, 2022, DOI:10.32604/cmc.2022.030806 - 16 June 2022

    Abstract Traditional Wireless Sensor Networks (WSNs) comprise of cost-effective sensors that can send physical parameters of the target environment to an intended user. With the evolution of technology, multimedia sensor nodes have become the hot research topic since it can continue gathering multimedia content and scalar from the target domain. The existence of multimedia sensors, integrated with effective signal processing and multimedia source coding approaches, has led to the increased application of Wireless Multimedia Sensor Network (WMSN). This sort of network has the potential to capture, transmit, and receive multimedia content. Since energy is a major… More >

  • Open Access

    ARTICLE

    Artificial Intelligence-Enabled Cooperative Cluster-Based Data Collection for Unmanned Aerial Vehicles

    R. Rajender1, C. S. S. Anupama2, G. Jose Moses3, E. Laxmi Lydia4, Seifedine Kadry5, Sangsoon Lim6,*

    CMC-Computers, Materials & Continua, Vol.73, No.2, pp. 3351-3365, 2022, DOI:10.32604/cmc.2022.030229 - 16 June 2022

    Abstract In recent times, sixth generation (6G) communication technologies have become a hot research topic because of maximum throughput and low delay services for mobile users. It encompasses several heterogeneous resource and communication standard in ensuring incessant availability of service. At the same time, the development of 6G enables the Unmanned Aerial Vehicles (UAVs) in offering cost and time-efficient solution to several applications like healthcare, surveillance, disaster management, etc. In UAV networks, energy efficiency and data collection are considered the major process for high quality network communication. But these procedures are found to be challenging because… More >

  • Open Access

    ARTICLE

    A Novel Stochastic Framework for the MHD Generator in Ocean

    Sakda Noinang1, Zulqurnain Sabir2, Shumaila Javeed3, Muhammad Asif Zahoor Raja4, Dostdar Ali3, Wajaree Weera5,*, Thongchai Botmart5

    CMC-Computers, Materials & Continua, Vol.73, No.2, pp. 3383-3402, 2022, DOI:10.32604/cmc.2022.029166 - 16 June 2022

    Abstract This work aims to study the nonlinear ordinary differential equations (ODEs) system of magnetohydrodynamic (MHD) past over an inclined plate using Levenberg-Marquardt backpropagation neural networks (LMBNNs). The stochastic procedures LMBNNs are provided with three categories of sample statistics, testing, training, and verification. The nonlinear MHD system past over an inclined plate is divided into three profiles, dimensionless momentum, species (salinity), and energy (heat) conservations. The data is applied 15%, 10%, and 75% for validation, testing, and training to solve the nonlinear system of MHD past over an inclined plate. A reference data set is designed More >

  • Open Access

    ARTICLE

    ESSD: Energy Saving and Securing Data Algorithm for WSNs Security

    Manar M. Aldaseen1, Khaled M. Matrouk1, Laiali H. Almazaydeh2,*, Khaled M. Elleithy3

    CMC-Computers, Materials & Continua, Vol.73, No.2, pp. 3969-3981, 2022, DOI:10.32604/cmc.2022.028520 - 16 June 2022

    Abstract The Wireless Sensor Networks (WSNs) are characterized by their widespread deployment due to low cost, but the WSNs are vulnerable to various types of attacks. To defend against the attacks, an effective security solution is required. However, the limits of these networks’ battery-based energy to the sensor are the most critical impediments to selecting cryptographic techniques. Consequently, finding a suitable algorithm that achieves the least energy consumption in data encryption and decryption and providing a highly protected system for data remains the fundamental problem. In this research, the main objective is to obtain data security… More >

  • Open Access

    ARTICLE

    Bilateral Contract for Load Frequency and Renewable Energy Sources Using Advanced Controller

    Krishan Arora1, Gyanendra Prasad Joshi2, Mahmoud Ragab3,4,5,*, Muhyaddin Rawa6,7,8, Ahmad H. Milyani6,7, Romany F. Mansour9, Eunmok Yang10

    CMC-Computers, Materials & Continua, Vol.73, No.2, pp. 3165-3180, 2022, DOI:10.32604/cmc.2022.026966 - 16 June 2022

    Abstract Reestablishment in power system brings in significant transformation in the power sector by extinguishing the possession of sound consolidated assistance. However, the collaboration of various manufacturing agencies, autonomous power manufacturers, and buyers have created complex installation processes. The regular active load and inefficiency of best measures among varied associates is a huge hazard. Any sudden load deviation will give rise to immediate amendment in frequency and tie-line power errors. It is essential to deal with every zone’s frequency and tie-line power within permitted confines followed by fluctuations within the load. Therefore, it can be proficient… More >

  • Open Access

    ARTICLE

    Research on Distributed Cooperative Control Strategy of Microgrid Hybrid Energy Storage Based on Adaptive Event Triggering

    Wenqian Zhang1, Jingwen Chen1,*, Saleem Riaz3, Naiwen Zheng1, Li Li2

    CMES-Computer Modeling in Engineering & Sciences, Vol.132, No.2, pp. 585-604, 2022, DOI:10.32604/cmes.2022.020523 - 15 June 2022

    Abstract Distributed collaborative control strategies for microgrids often use periodic time to trigger communication, which is likely to enhance the burden of communication and increase the frequency of controller updates, leading to greater waste of communication resources. In response to this problem, a distributed cooperative control strategy triggered by an adaptive event is proposed. By introducing an adaptive event triggering mechanism in the distributed controller, the triggering parameters are dynamically adjusted so that the distributed controller can communicate only at a certain time, the communication pressure is reduced, and the DC bus voltage deviation is effectively More >

  • Open Access

    ARTICLE

    Induction of adaptive response in utero by ionizing radiation: A radiation quality dependent phenomenon

    BING WANG*, KAORU TANAKA, KOUICHI MARUYAMA, YASUHARA NINOMIYA, TAKANORI KATSUBE, MITSURU NENOI*

    BIOCELL, Vol.46, No.10, pp. 2315-2325, 2022, DOI:10.32604/biocell.2022.021161 - 13 June 2022

    Abstract Investigation on possible induction of adaptive response (AR) by high-liner energy transfer (LET) particle radiation for protection against low-LET photon radiation-induced detrimental effects has not yet been performed in utero. This study verified if an AR could be induced by high-LET particle radiation from accelerated heavy ions against low-LET X-ray radiation-induced detrimental effects on fetal mice. Total body irradiation of pregnant C57BL/6J mice were performed by delivering a priming dose ranging from 10 mGy to 320 mGy of particle radiation on gestation day 11 followed one day later by a challenge dose at 3500 mGy from… More >

  • Open Access

    ARTICLE

    DFT and TD-DFT Calculations of Orbital Energies and Photovoltaic Properties of Small Molecule Donor and Acceptor Materials Used in Organic Solar Cells

    Daniel Dodzi Yao Setsoafia1, Kiran Sreedhar Ram1, Hooman Mehdizadeh-Rad1,2, David Ompong1,2, Vinuthaa Murthy1,2, Jai Singh1,2,*

    Journal of Renewable Materials, Vol.10, No.10, pp. 2553-2567, 2022, DOI:10.32604/jrm.2022.020967 - 08 June 2022

    Abstract DFT and TD-DFT calculations of HOMO and LUMO energies and photovoltaic properties are carried out on four selected pentathiophene donor and one IDIC-4F acceptor molecules using B3LYP and PBE0 functionals for the ground state energy calculations and CAM-B3LYP functional for the excited state calculations. The discrepancy between the calculated and experimental energies is reduced by correlating them with a linear fit. The fitted energies of HOMO and LUMO are used to calculate the Voc of an OSC based on these donors and acceptor blend and compared with experimental values. Using the Scharber model the calculated PCE… More >

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