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  • Open Access

    ARTICLE

    Optimal Energy Consumption Optimization in a Smart House by Considering Electric Vehicles and Demand Response via a Hybrid Gravitational Search and Particle Swarm Optimization Algorithm

    Rongxin Zhang1,*, Chengying Yang2,3, Xuetao Li1

    Energy Engineering, Vol.119, No.6, pp. 2489-2511, 2022, DOI:10.32604/ee.2022.021517 - 14 September 2022

    Abstract Buildings are the main energy consumers across the world, especially in urban communities. Building smartization, or the smartification of housing, therefore, is a major step towards energy grid smartization too. By controlling the energy consumption of lighting, heating, and cooling systems, energy consumption can be optimized. All or some part of the energy consumed in future smart buildings must be supplied by renewable energy sources (RES), which mitigates environmental impacts and reduces peak demand for electrical energy. In this paper, a new optimization algorithm is applied to solve the optimal energy consumption problem by considering… More >

  • Open Access

    ARTICLE

    Feature Selection with Stacked Autoencoder Based Intrusion Detection in Drones Environment

    Heba G. Mohamed1, Saud S. Alotaibi2, Majdy M. Eltahir3, Heba Mohsen4, Manar Ahmed Hamza5,*, Abu Sarwar Zamani5, Ishfaq Yaseen5, Abdelwahed Motwakel5

    CMC-Computers, Materials & Continua, Vol.73, No.3, pp. 5441-5458, 2022, DOI:10.32604/cmc.2022.031887 - 28 July 2022

    Abstract The Internet of Drones (IoD) offers synchronized access to organized airspace for Unmanned Aerial Vehicles (known as drones). The availability of inexpensive sensors, processors, and wireless communication makes it possible in real time applications. As several applications comprise IoD in real time environment, significant interest has been received by research communications. Since IoD operates in wireless environment, it is needed to design effective intrusion detection system (IDS) to resolve security issues in the IoD environment. This article introduces a metaheuristics feature selection with optimal stacked autoencoder based intrusion detection (MFSOSAE-ID) in the IoD environment. The… More >

  • Open Access

    ARTICLE

    Speed-Direction Sensing under Multiple Vehicles Scenario Using Photonic Radars

    Abhishek Sharma1, Sushank Chaudhary2,*, Jyoteesh Malhotra3, Muhammad Saadi4, Sattam Al Otaibi5, Lunchakorn Wuttisittikulkij2

    CMC-Computers, Materials & Continua, Vol.73, No.3, pp. 5399-5410, 2022, DOI:10.32604/cmc.2022.031173 - 28 July 2022

    Abstract Recent reports from World Health Organization (WHO) show the impact of human negligence as a serious concern for road accidents and casualties worldwide. There are number of reasons which led to this negligence; hence, need of intelligent transportation system (ITS) gains more attention from researchers worldwide. For achieving such autonomy different sensors are involved in autonomous vehicles which can sense road conditions and warn the control system about possible hazards. This work is focused on designing one such sensor system which can detect and range multiple targets under the impact of adverse atmospheric conditions. A More >

  • Open Access

    ARTICLE

    State-of-Charge Estimation of Lithium-Ion Battery for Electric Vehicles Using Deep Neural Network

    M. Premkumar1, R. Sowmya2, S. Sridhar3, C. Kumar4, Mohamed Abbas5,6, Malak S. Alqahtani7, Kottakkaran Sooppy Nisar8,*

    CMC-Computers, Materials & Continua, Vol.73, No.3, pp. 6289-6306, 2022, DOI:10.32604/cmc.2022.030490 - 28 July 2022

    Abstract It is critical to have precise data about Lithium-ion batteries, such as the State-of-Charge (SoC), to maintain a safe and consistent functioning of battery packs in energy storage systems of electric vehicles. Numerous strategies for estimating battery SoC, such as by including the coulomb counting and Kalman filter, have been established. As a result of the differences in parameter values between each cell, when these methods are applied to high-capacity battery packs, it has difficulties sustaining the prediction accuracy of overall cells. As a result of aging, the variation in the parameters of each cell… More >

  • Open Access

    ARTICLE

    Efficient UAV-Based MEC Using GPU-Based PSO and Voronoi Diagrams

    Mohamed H. Mousa1,2,*, Mohamed K. Hussein2

    CMES-Computer Modeling in Engineering & Sciences, Vol.133, No.2, pp. 413-434, 2022, DOI:10.32604/cmes.2022.020639 - 21 July 2022

    Abstract Mobile-Edge Computing (MEC) displaces cloud services as closely as possible to the end user. This enables the edge servers to execute the offloaded tasks that are requested by the users, which in turn decreases the energy consumption and the turnaround time delay. However, as a result of a hostile environment or in catastrophic zones with no network, it could be difficult to deploy such edge servers. Unmanned Aerial Vehicles (UAVs) can be employed in such scenarios. The edge servers mounted on these UAVs assist with task offloading. For the majority of IoT applications, the execution… More >

  • Open Access

    ARTICLE

    Investigating the Effects of the Driving Cycle and Penetration of Electric Vehicles on Technical and Environmental Characteristics of the Hybrid Energy System Considering Uncertainties

    Jiusong Chen1,*, Dejun Miao1, Yizong Dai1, Mojtaba Ghadamyari2,*

    Energy Engineering, Vol.119, No.5, pp. 1985-2003, 2022, DOI:10.32604/ee.2022.021142 - 21 July 2022

    Abstract Electric vehicles (EVs) have received special consideration from modern society over the past several years. Although EVs are a fine example of environmentally friendly technology and have many advantages, they relatively increase the electricity demand upon a power grid as well. Therefore, their negative impact on busvoltage and line losses should be analyzed. In this study, the effect of EV loads and their penetration on bus voltage and line losses of an IEEE-33 bussystem has been examined via two scenarios. It is important to mention that the effect of EVs on the rate of air 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

    An Algorithm for Target Detection of Engineering Vehicles Based on Improved CenterNet

    Pingping Yu1, Hongda Wang1, Xiaodong Zhao1,*, Guangchen Ruan2

    CMC-Computers, Materials & Continua, Vol.73, No.2, pp. 4261-4276, 2022, DOI:10.32604/cmc.2022.029239 - 16 June 2022

    Abstract Aiming at the problems of low target image resolution, insufficient target feature extraction, low detection accuracy and poor real time in remote engineering vehicle detection, an improved CenterNet target detection model is proposed in this paper. Firstly, EfficientNet-B0 with Efficient Channel Attention (ECA) module is used as the basic network, which increases the quality and speed of feature extraction and reduces the number of model parameters. Then, the proposed Adaptive Fusion Bidirectional Feature Pyramid Network (AF-BiFPN) module is applied to fuse the features of different feature layers. Furthermore, the feature information of engineering vehicle targets… More >

  • Open Access

    ARTICLE

    Multi-Objective Immune Algorithm for Internet of Vehicles for Data Offloading

    B. Gomathi1, S. T. Suganthi2,*, T. N. Prabhu3, Andriy Kovalenko4

    Intelligent Automation & Soft Computing, Vol.34, No.3, pp. 1851-1860, 2022, DOI:10.32604/iasc.2022.026779 - 25 May 2022

    Abstract On the Internet of Vehicle (IoV) devices, offloading data is the major problem because massive amounts of data generate energy consumption, and the execution cost is high. At present, accidents traffic management is highly prominent due to increased vehicles among the population. IoV is the only technology to help the transport system effectively. This data outreach the memory also has high energy consumption, and the storage cost is high. To overcome these issues, a Mobility aware Offloading scheme with Multi-Objective Immune Optimization algorithm (MOS-MOIO) is used in the cloud storage. The data is generated from More >

  • Open Access

    ARTICLE

    Development of Vehicle-to-Grid System to Regulate the System Parameters of Microgrid

    Om Prakash Mahela1, Baseem Khan2,*, Rupendra Kumar Pachauri3

    Energy Engineering, Vol.119, No.4, pp. 1261-1298, 2022, DOI:10.32604/ee.2022.018913 - 23 May 2022

    Abstract This paper proposes a vehicle-to-grid (V2G) system interfaced with a microgrid that is effective at regulating frequency on a microgrid over a 24-h cycle. A microgrid is designed and divided into four components. The first component is a diesel generator, which is used to act as the base power generator. The second component consists of renewable energy (RE) power plants, which include solar photovoltaic (PV) and wind plants. The third component is a V2G system. The last component is the load connected to the microgrid. A microgrid is designed to be of sufficient size to… More > Graphic Abstract

    Development of Vehicle-to-Grid System to Regulate the System Parameters of Microgrid

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