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  • Open Access

    ARTICLE

    Performance Analysis of a Solar Continuous Adsorption Refrigeration System

    Kolthoum Missaoui1,2,*, Nader Frikha2,3, Abdelhamid Kheiri1, Slimane Gabsi2,3, Mohammed El Ganaoui4

    FDMP-Fluid Dynamics & Materials Processing, Vol.19, No.4, pp. 1067-1081, 2023, DOI:10.32604/fdmp.2022.021969 - 02 November 2022

    Abstract A study is conducted on the performances of a solar powered continuous-adsorption refrigerator considering two particular days as references cases, namely, the summer solstice (June 21st) and the autumn equinox (September 21st). The cooling capacity, system performance coefficient and the daily rate of available cooling energy are assessed. The main goal is to compare the performances of a solar adsorption chiller equipped with a hot water tank (HWT) with an equivalent system relying on solar collectors with no heat storage module. The daily cooling rates for the solar refrigerator are found to be 102.4 kWh More >

  • Open Access

    ARTICLE

    Augmenting IoT Intrusion Detection System Performance Using Deep Neural Network

    Nasir Sayed1, Muhammad Shoaib2,*, Waqas Ahmed3, Sultan Noman Qasem4, Abdullah M. Albarrak4, Faisal Saeed5

    CMC-Computers, Materials & Continua, Vol.74, No.1, pp. 1351-1374, 2023, DOI:10.32604/cmc.2023.030831 - 22 September 2022

    Abstract Due to their low power consumption and limited computing power, Internet of Things (IoT) devices are difficult to secure. Moreover, the rapid growth of IoT devices in homes increases the risk of cyber-attacks. Intrusion detection systems (IDS) are commonly employed to prevent cyberattacks. These systems detect incoming attacks and instantly notify users to allow for the implementation of appropriate countermeasures. Attempts have been made in the past to detect new attacks using machine learning and deep learning techniques, however, these efforts have been unsuccessful. In this paper, we propose two deep learning models to automatically More >

  • Open Access

    ARTICLE

    Impact of Data Quality on Question Answering System Performances

    Rachid Karra*, Abdelali Lasfar

    Intelligent Automation & Soft Computing, Vol.35, No.1, pp. 335-349, 2023, DOI:10.32604/iasc.2023.026695 - 06 June 2022

    Abstract In contrast with the research of new models, little attention has been paid to the impact of low or high-quality data feeding a dialogue system. The present paper makes the first attempt to fill this gap by extending our previous work on question-answering (QA) systems by investigating the effect of misspelling on QA agents and how context changes can enhance the responses. Instead of using large language models trained on huge datasets, we propose a method that enhances the model's score by modifying only the quality and structure of the data feed to the model.… More >

  • Open Access

    ARTICLE

    System Performance of Wireless Sensor Network Using LoRa–Zigbee Hybrid Communication

    Van-Truong Truong1, Anand Nayyar2,*, Showkat Ahmad Lone3

    CMC-Computers, Materials & Continua, Vol.68, No.2, pp. 1615-1635, 2021, DOI:10.32604/cmc.2021.016922 - 13 April 2021

    Abstract Wireless sensor network (WSN) is considered as the fastest growing technology pattern in recent years because of its applicability in varied domains. Many sensor nodes with different sensing functionalities are deployed in the monitoring area to collect suitable data and transmit it to the gateway. Ensuring communications in heterogeneous WSNs, is a critical issue that needs to be studied. In this research paper, we study the system performance of a heterogeneous WSN using LoRa–Zigbee hybrid communication. Specifically, two Zigbee sensor clusters and two LoRa sensor clusters are used and combined with two Zigbee-to-LoRa converters to… More >

  • Open Access

    ARTICLE

    EFFECT OF RESIDUAL NON-CONDENSABLE GASES ON THE PERFORMANCE OF A CARBON DIOXIDE EVAPORATOR AND THE SYSTEM PERFORMANCE

    Jing Hua,* , Mingxing Dub

    Frontiers in Heat and Mass Transfer, Vol.14, pp. 1-7, 2020, DOI:10.5098/hmt.14.5

    Abstract Inert gases are conveniently used for leak detection. Relative to CO2, majority of the inert gases are non-condensable. It is of great significance to understand the effects of residual non-condensable gases on the performance of a refrigeration system. This paper investigates, both theoretically and experimentally, on the impact of residual non-condensable gases on the performance of a carbon dioxide (CO2) evaporator and the system performance. A theoretical analysis indicates that residual non-condensable gases can convert homogeneous nucleation into a heterogeneous nucleation process and accelerate phase change, thus, reducing superheat or incipient boiling temperature. To investigate the… More >

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