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  • Open Access

    ARTICLE

    Performance Analysis of PTS PAPR Reduction Method for NOMA Waveform

    Himanshu Sharma1, Nidhi Gour1, Sumit Chakravarty2, Fahad Alraddady3, Mehedi Masud4, Rajneesh Pareek1, Arun Kumar5,*

    Intelligent Automation & Soft Computing, Vol.34, No.2, pp. 1367-1375, 2022, DOI:10.32604/iasc.2022.025655

    Abstract Cellular systems utilize single and multicarrier waveforms for high-speed data transmission. The Fifth-Generation (5G) system proposes several techniques based on multicarrier waveforms. However, the Peak to Average Power Ratio (PAPR) is one of the significant concerns in advanced waveforms as it degrades the framework's efficiency. Non Orthogonal Multiple Access (NOMA) can provide massive connectivity, which is the crucial requirement of the Internet of Things (IoT). The 3rd generation tested NOMA applications in downlink and uplink transmission. However, NOMA uplink transmission in the power domain has performance degradation and is not considered a possible technique in 3rd generation power projects (3GPP).… More >

  • Open Access

    ARTICLE

    Performance Analysis of Multilayer Coil Based MI Waveguide Communication System

    Sandeep N. Dandu1, Vinay Kumar2, Joydeep Sengupta1, Neeraj D. Bokde3,*

    CMC-Computers, Materials & Continua, Vol.72, No.3, pp. 5287-5300, 2022, DOI:10.32604/cmc.2022.026390

    Abstract In the non-conventional media like underwater and underground, the Radio Frequency (RF) communication technique does not perform well due to large antenna size requirement and high path loss. In such media, magnetic induction (MI) communication technique is very promising due to small coil size and constant channel behavior. Unlike the RF technique, the communication range in MI technique is relatively less. To enhance this range, a waveguide technique is already brought in practice. This technique employs single layer coils to enhance the performance of MI waveguide. To further enhance the system functioning, in this paper, we investigated the performance of… More >

  • Open Access

    ARTICLE

    Performance Analysis of an Organic Rankine Cycle with a Preheated Ejector

    Kaiyong Hu1,*, Yumeng Zhang1, Tianrun Zhang1, Dequan Zhang2,*, Zhaoxian Yang3

    FDMP-Fluid Dynamics & Materials Processing, Vol.18, No.4, pp. 1183-1193, 2022, DOI:10.32604/fdmp.2022.019787

    Abstract The so-called organic Rankine cycle (ORC) is an effective technology allowing heat recovery from lower temperature sources. In the present study, to improve its thermal efficiency, a preheated ejector using exhaust steam coming from the expander is integrated in the cycle (EPORC). Considering net power output, pump power, and thermal efficiency, the proposed system is compared with the basic ORC. The influence of the ejector ratio (ER) of the preheated ejector on the system performances is also investigated. Results show that the net power output of the EPORC is higher than that of the basic ORC due to the decreasing… More >

  • Open Access

    ARTICLE

    Performance Analysis of Machine Learning Algorithms for Classifying Hand Motion-Based EEG Brain Signals

    Ayman Altameem1, Jaideep Singh Sachdev2, Vijander Singh2, Ramesh Chandra Poonia3, Sandeep Kumar4, Abdul Khader Jilani Saudagar5,*

    Computer Systems Science and Engineering, Vol.42, No.3, pp. 1095-1107, 2022, DOI:10.32604/csse.2022.023256

    Abstract Brain-computer interfaces (BCIs) records brain activity using electroencephalogram (EEG) headsets in the form of EEG signals; these signals can be recorded, processed and classified into different hand movements, which can be used to control other IoT devices. Classification of hand movements will be one step closer to applying these algorithms in real-life situations using EEG headsets. This paper uses different feature extraction techniques and sophisticated machine learning algorithms to classify hand movements from EEG brain signals to control prosthetic hands for amputated persons. To achieve good classification accuracy, denoising and feature extraction of EEG signals is a significant step. We… More >

  • Open Access

    ARTICLE

    Dynamic Simulation and Performance Analysis on Multi-Energy Coupled CCHP System

    Xueqin Tian1, Jinfei Sun2, Tong Xu1, Mengran Cui2, Xinlei Wang1, Jianxiang Guo2, De-gejirifu1,*, Na Wang1

    Energy Engineering, Vol.119, No.2, pp. 723-737, 2022, DOI:10.32604/ee.2022.015982

    Abstract Although the Combined Cooing, Heating and Power System (hereinafter referred to as “CCHP”) improves the capacity utilization rate and energy utilization efficiency, single use of CCHP system cannot realize dynamic matching between supply and demand loads due to the unbalance features of the user’s cooling and heating loads. On the basis of user convenience and wide applicability of clean air energy, this paper tries to put forward a coupled CCHP system with combustion gas turbine and ASHP ordered power by heat, analyze trends of such parameters as gas consumption and power consumption of heat pump in line with adjustment of… More >

  • Open Access

    ARTICLE

    Forward Flight Performance Analysis of Supercritical Airfoil in Helicopter Main Rotor

    Inamul Hasan1,2,*, R. Mukesh2, P. Radha Krishnan1,2, R. Srinath1, R. B. Dhanya Prakash2

    Intelligent Automation & Soft Computing, Vol.33, No.1, pp. 567-584, 2022, DOI:10.32604/iasc.2022.023252

    Abstract In this research, the aerodynamic performance and flow characteristics of NASA SC (2)-0714 airfoil and HH02 airfoil in the helicopter main rotor are evidently analyzed. The supercritical airfoil is used in the aircraft for attaining better transonic and high-speed flow characteristics. Moreover, a specialized helicopter airfoil called HH02 is used in the Apache helicopter rotor for increasing the operational speed. As most of the high-speed helicopters are using four-bladed main rotor configuration, it is analyzed with prior attention. The lift and thrust act in different directions for the forward phase of the flight whereas the lift and thrust act in… More >

  • Open Access

    ARTICLE

    Performance Analysis of Magnetic Nanoparticles during Targeted Drug Delivery: Application of OHAM

    Muhammad Zafar1,#,*, Muhammad Saif Ullah1,#, Tareq Manzoor2, Muddassir Ali3, Kashif Nazar4, Shaukat Iqbal5, Habib Ullah Manzoor6, Rizwan Haider1, Woo Young Kim7,*

    CMES-Computer Modeling in Engineering & Sciences, Vol.130, No.2, pp. 723-749, 2022, DOI:10.32604/cmes.2022.017257

    Abstract In recent years, the emergence of nanotechnology experienced incredible development in the field of medical sciences. During the past decade, investigating the characteristics of nanoparticles during fluid flow has been one of the intriguing issues. Nanoparticle distribution and uniformity have emerged as substantial criteria in both medical and engineering applications. Adverse effects of chemotherapy on healthy tissues are known to be a significant concern during cancer therapy. A novel treatment method of magnetic drug targeting (MDT) has emerged as a promising topical cancer treatment along with some attractive advantages of improving efficacy, fewer side effects, and reduce drug dose. During… More >

  • Open Access

    ARTICLE

    Live Migration of Virtual Machines Using a Mamdani Fuzzy Inference System

    Tahir Alyas1, Iqra Javed1, Abdallah Namoun2, Ali Tufail2, Sami Alshmrany2, Nadia Tabassum3,*

    CMC-Computers, Materials & Continua, Vol.71, No.2, pp. 3019-3033, 2022, DOI:10.32604/cmc.2022.019836

    Abstract Efforts were exerted to enhance the live virtual machines (VMs) migration, including performance improvements of the live migration of services to the cloud. The VMs empower the cloud users to store relevant data and resources. However, the utilization of servers has increased significantly because of the virtualization of computer systems, leading to a rise in power consumption and storage requirements by data centers, and thereby the running costs. Data center migration technologies are used to reduce risk, minimize downtime, and streamline and accelerate the data center move process. Indeed, several parameters, such as non-network overheads and downtime adjustment, may impact… More >

  • Open Access

    ARTICLE

    A Low-Cost, Real-Time Rooftop IoT-Based Photovoltaic (PV) System for Energy Management and Home Automation

    Muhammad Uzair*, Salah Al-Kafrawi, Karam Al-Janadi, Ibrahim Al-Bulushi

    Energy Engineering, Vol.119, No.1, pp. 83-101, 2022, DOI:10.32604/EE.2022.016411

    Abstract This work discusses the importance of monitoring and energy management of green energy resources in order to minimize the negative impacts of electricity generation by regular power plants. The paper introduces a highly efficient, low-cost rooftop photovoltaics (PV) solar panel system which can provide monitoring, controlling and automation. The proposed system is based on Internet of Things (IoT) and can be used to control different utilities in any premises automatically or set by the user-defined priority list, as compared to the existing IoT-based PV systems which can only perform monitoring and maintenance of the PV panels or only certain parameters,… More >

  • Open Access

    ARTICLE

    Performance Analysis of Two-Stage Optimal Feature-Selection Techniques for Finger Knuckle Recognition

    P. Jayapriya*, K. Umamaheswari

    Intelligent Automation & Soft Computing, Vol.32, No.2, pp. 1293-1308, 2022, DOI:10.32604/iasc.2022.022583

    Abstract Automated biometric authentication attracts the attention of researchers to work on hand-based images to develop applications in forensics science. Finger Knuckle Print (FKP) is one of the hand-based biometrics used in the recognition of an individual. FKP is rich in texture, less in contact and known for its unique features. The dimensionality of the features, extracted from the image, is one of the main problems in pattern recognition. Since selecting the relevant features is an important but challenging task, the feature subset selection is an optimization problem. A reduced number of features results in enhanced classification accuracy. The proposed FKP… More >

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