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  • Open Access

    ARTICLE

    Performance Analysis of Intelligent Neural-Based Deep Learning System on Rank Images Classification

    Muhammad Hameed Siddiqi1,*, Asfandyar Khan2, Muhammad Bilal Khan2, Abdullah Khan2, Madallah Alruwaili1, Saad Alanazi1

    Computer Systems Science and Engineering, Vol.47, No.2, pp. 2219-2239, 2023, DOI:10.32604/csse.2023.040212

    Abstract The use of the internet is increasing all over the world on a daily basis in the last two decades. The increase in the internet causes many sexual crimes, such as sexual misuse, domestic violence, and child pornography. Various research has been done for pornographic image detection and classification. Most of the used models used machine learning techniques and deep learning models which show less accuracy, while the deep learning model ware used for classification and detection performed better as compared to machine learning. Therefore, this research evaluates the performance analysis of intelligent neural-based deep learning models which are based… More >

  • Open Access

    ARTICLE

    Performance Analysis of ACO-OFDM Visible Light Communication System Based on SCMA

    Xiukai Ruan1, Shahid Iqbal Awan2,*

    Journal on Internet of Things, Vol.4, No.4, pp. 215-225, 2022, DOI:10.32604/jiot.2022.038270

    Abstract A SCMA ACO-OFDM downlink visible light communication (VLC) system is proposed. Six users share four spectrum resources, four of which are 4 primary color LED lights. ACO-OFDM technology is used to convert the user’s sparse codebook mapped signal into a positive real value signal that can be carried on the light wave, which can realize high-speed parallel communication. Simulation verifies the feasibility of the system. At the same time, the channel model of visible light communication is constructed, and the signal-to-noise ratio(SNR) and channel gain of the visible light channel are systematically analyzed. Finally, the theoretical bit error rate formula… More >

  • Open Access

    REVIEW

    A COMPREHENSIVE REVIEW OF PERFORMANCE ANALYSIS OF WITH AND WITHOUT FINS SOLAR THERMAL COLLECTOR

    Sushil Kumara , Robin Thakura, Amar Raj Singh Suria, Kamal Kashyapa, Arvind Singhya, Sunil Kumara, Anil Kumarb

    Frontiers in Heat and Mass Transfer, Vol.16, pp. 1-11, 2021, DOI:10.5098/hmt.16.4

    Abstract Solar thermal collector is a simple, economic, and environment friendly equipment which is used to utilize solar energy for various agriculture and industrial applications. The investigators mainly focus on the improvement of the thermal performance by providing various fins shapes underside of the absorber plate in the single pass and double pass solar thermal collector. This work discusses the influence of different shaped fins used by various researchers in improving the thermal performance of thermal collectors. Fin’s design, geometries used, and their influence on turbulence and thermal performance have also been discussed. As per the literature review and comparative study… More >

  • Open Access

    ARTICLE

    PERFORMANCE ANALYSIS OF LONGITUDINAL FIN JET PLATE SOLAR AIR HEATER UNDER CROSS FLOW CONDITION

    Rajen Kumar Nayaka,* , Ravi Shankar Prasada,† , Ujjwal Kumar Nayaka, Amit Kumar Guptab

    Frontiers in Heat and Mass Transfer, Vol.19, pp. 1-12, 2022, DOI:10.5098/hmt.19.22

    Abstract The present experimental work has been carried out for a solar air heater under cross flow condition having inline hole jet plate between bottom plate and absorber plate with longitudinal fins underside the absorber surface. The performance of this inline hole jet plate solar air heater is compared with the performance of jet plate solar air heaters without longitudinal fins under cross and non-cross flow conditions for similar geometrical and operational parameters. Results are presented for mass flow rates of air, 1 = 0.020 - 0.070 kg/sec, 2 = 0.018 - 0.041 kg/sec, flow Reynolds number, Reja2 = 2000 -… More >

  • Open Access

    ARTICLE

    PERFORMANCE ANALYSIS OF AN ENERGY EFFICIENT PCM-BASED ROOM COOLING SYSTEM

    Ummid I. Shaikha , Sonali Kaleb, Anirban Surc, Anindita Royc

    Frontiers in Heat and Mass Transfer, Vol.20, pp. 1-10, 2023, DOI:10.5098/hmt.20.28

    Abstract The requirement for sustainable development for buildings is to have environmentally friendly cooling and heating systems. The utilization of phase change materials (PCM) in the cooling system is a potential solution for minimizing active power requirements as well as for reducing the size of components of a vapor compression refrigeration VCR system. A prototype of an Air-PCM (T25™) heat exchanger was fabricated and tested in actual environmental conditions. Experimental trials using a salt hydrate as PCM have shown the maximum cooling effect of 2.05 kW when 75% of the PCM was solidified. Based on the results, it is found that… More >

  • Open Access

    ARTICLE

    Performance Analysis of Intelligent Reflecting Surface Assisted Wireless Communication System

    Weiqiang Tan1,*, Quanquan Zhou1, Weijie Tan2, Longcheng Yang3, Chunguo Li4

    CMES-Computer Modeling in Engineering & Sciences, Vol.137, No.1, pp. 775-787, 2023, DOI:10.32604/cmes.2023.027427

    Abstract In this paper, we investigate the end-to-end performance of intelligent reflecting surface (IRS)-assisted wireless communication systems. We consider a system in which an IRS is deployed on a uniform planar array (UPA) configuration, including a large number of reflecting elements, where the transmitters and receivers are only equipped with a single antenna. Our objective is to analytically obtain the achievable ergodic rate, outage probability, and bit error rate (BER) of the system. Furthermore, to maximize the system’s signal-to-noise ratio (SNR), we design the phase shift of each reflecting element and derive the optimal reflection phase of the IRS based on… More > Graphic Abstract

    Performance Analysis of Intelligent Reflecting Surface Assisted Wireless Communication System

  • Open Access

    ARTICLE

    Performance Analysis of Three Spectrum Sensing Detection Techniques with Ambient Backscatter Communication in Cognitive Radio Networks

    Shayla Islam1, Anil Kumar Budati1,*, Mohammad Kamrul Hasan2, Saoucene Mahfoudh3, Syed Bilal Hussian Shah3

    CMES-Computer Modeling in Engineering & Sciences, Vol.137, No.1, pp. 813-825, 2023, DOI:10.32604/cmes.2023.027595

    Abstract In wireless communications, the Ambient Backscatter Communication (AmBC) technique is a promising approach, detecting user presence accurately at low power levels. At low power or a low Signal-to-Noise Ratio (SNR), there is no dedicated power for the users. Instead, they can transmit information by reflecting the ambient Radio Frequency (RF) signals in the spectrum. Therefore, it is essential to detect user presence in the spectrum for the transmission of data without loss or without collision at a specific time. In this paper, the authors proposed a novel Spectrum Sensing (SS) detection technique in the Cognitive Radio (CR) spectrum, by developing… More >

  • Open Access

    ARTICLE

    Performance Analysis of Intrusion Detection System in the IoT Environment Using Feature Selection Technique

    Moody Alhanaya, Khalil Hamdi Ateyeh Al-Shqeerat*

    Intelligent Automation & Soft Computing, Vol.36, No.3, pp. 3709-3724, 2023, DOI:10.32604/iasc.2023.036856

    Abstract The increasing number of security holes in the Internet of Things (IoT) networks creates a question about the reliability of existing network intrusion detection systems. This problem has led to the developing of a research area focused on improving network-based intrusion detection system (NIDS) technologies. According to the analysis of different businesses, most researchers focus on improving the classification results of NIDS datasets by combining machine learning and feature reduction techniques. However, these techniques are not suitable for every type of network. In light of this, whether the optimal algorithm and feature reduction techniques can be generalized across various datasets… More >

  • Open Access

    ARTICLE

    Evolutionary Algorithm Based Feature Subset Selection for Students Academic Performance Analysis

    Ierin Babu1,*, R. MathuSoothana2, S. Kumar2

    Intelligent Automation & Soft Computing, Vol.36, No.3, pp. 3621-3636, 2023, DOI:10.32604/iasc.2023.033791

    Abstract Educational Data Mining (EDM) is an emergent discipline that concentrates on the design of self-learning and adaptive approaches. Higher education institutions have started to utilize analytical tools to improve students’ grades and retention. Prediction of students’ performance is a difficult process owing to the massive quantity of educational data. Therefore, Artificial Intelligence (AI) techniques can be used for educational data mining in a big data environment. At the same time, in EDM, the feature selection process becomes necessary in creation of feature subsets. Since the feature selection performance affects the predictive performance of any model, it is important to elaborately… More >

  • Open Access

    ARTICLE

    Performance Analysis of a Profile Control Agent for Waste Drilling Fluid Treatment

    Xueyu Zhao*

    FDMP-Fluid Dynamics & Materials Processing, Vol.19, No.7, pp. 1897-1905, 2023, DOI:10.32604/fdmp.2023.025247

    Abstract A method for the treatment of hazardous waste drilling fluids, potentially leading to environmental pollution, is considered. The waste drilling fluid is treated with an inorganic flocculant, an organic flocculant, and a pH regulator. The profile control agent consists of partially hydrolyzed polyacrylamide, formaldehyde, hexamethylenetetramine, resorcinol, phenol, and the treated waste drilling fluid itself. For a waste drilling fluid concentration of 2500 mg/L, the gelling time of the profile control agent is 25 h, and the gelling strength is 32,000 mPa.s. Compared with the profile control agent prepared by recirculated water under the same conditions, the present profile control agent displays better… More >

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