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  • Open Access

    ARTICLE

    A Trailblazing Framework of Security Assessment for Traffic Data Management

    Abdulaziz Attaallah1, Khalil al-Sulbi2, Areej Alasiry3, Mehrez Marzougui3, Neha Yadav4, Syed Anas Ansar5,*, Pawan Kumar Chaurasia4, Alka Agrawal4

    Intelligent Automation & Soft Computing, Vol.37, No.2, pp. 1853-1875, 2023, DOI:10.32604/iasc.2023.039761

    Abstract Connected and autonomous vehicles are seeing their dawn at this moment. They provide numerous benefits to vehicle owners, manufacturers, vehicle service providers, insurance companies, etc. These vehicles generate a large amount of data, which makes privacy and security a major challenge to their success. The complicated machine-led mechanics of connected and autonomous vehicles increase the risks of privacy invasion and cyber security violations for their users by making them more susceptible to data exploitation and vulnerable to cyber-attacks than any of their predecessors. This could have a negative impact on how well-liked CAVs are with the general public, give them… More >

  • Open Access

    ARTICLE

    NUMERICAL ANALYSES ON VAPOR PRESSURE DROP IN A CENTERED-WICK ULTRA-THIN HEAT PIPE

    Yasushi Koitoa,*

    Frontiers in Heat and Mass Transfer, Vol.13, pp. 1-6, 2019, DOI:10.5098/hmt.13.26

    Abstract This paper describes extended numerical analyses on vapor pressure distribution in a centered-wick ultra-thin heat pipe. Analyses were conducted by using a three-dimensional model developed by the author. Numerical results were obtained changing design parameters and operating conditions of the heat pipe. Discussion was made on the heat transfer limit as well as the vapor pressure drop. Moreover, a simple method was also presented to evaluate the vapor pressure drop in the ultra-thin heat pipe. Calculated results with the simple method agreed in 10 % with the three-dimensional numerical results. More >

  • Open Access

    ARTICLE

    Characterization of Memory Access in Deep Learning and Its Implications in Memory Management

    Jeongha Lee1, Hyokyung Bahn2,*

    CMC-Computers, Materials & Continua, Vol.76, No.1, pp. 607-629, 2023, DOI:10.32604/cmc.2023.039236

    Abstract Due to the recent trend of software intelligence in the Fourth Industrial Revolution, deep learning has become a mainstream workload for modern computer systems. Since the data size of deep learning increasingly grows, managing the limited memory capacity efficiently for deep learning workloads becomes important. In this paper, we analyze memory accesses in deep learning workloads and find out some unique characteristics differentiated from traditional workloads. First, when comparing instruction and data accesses, data access accounts for 96%–99% of total memory accesses in deep learning workloads, which is quite different from traditional workloads. Second, when comparing read and write accesses,… More >

  • Open Access

    ARTICLE

    Optimizing Decision-Making of A Smart Prosumer Microgrid Using Simulation

    Oussama Accouche1,*, Rajan Kumar Gangadhari2

    CMC-Computers, Materials & Continua, Vol.76, No.1, pp. 151-173, 2023, DOI:10.32604/cmc.2023.038648

    Abstract Distributed renewable energy sources offer significant alternatives for Qatar and the Arab Gulf region’s future fuel supply and demand. Microgrids are essential for providing dependable power in difficult-to-reach areas while incorporating significant amounts of renewable energy sources. In energy-efficient data centers, distributed generation can be used to meet the facility’s overall power needs. This study primarily focuses on the best energy management practices for a smart microgrid in Qatar while taking demand-side load management into account. This article looked into a university microgrid in Qatar that primarily aimed to get all of its energy from the grid. While diesel generators… More >

  • Open Access

    ARTICLE

    Blockchain and IIoT Enabled Solution for Social Distancing and Isolation Management to Prevent Pandemics

    Muhammad Saad1, Maaz Bin Ahmad1,*, Muhammad Asif2, Muhammad Khalid Khan1, Toqeer Mahmood3, Elsayed Tag Eldin4,*, Hala Abdel Hameed5,6

    CMC-Computers, Materials & Continua, Vol.76, No.1, pp. 687-709, 2023, DOI:10.32604/cmc.2023.038335

    Abstract Pandemics have always been a nightmare for humanity, especially in developing countries. Forced lockdowns are considered one of the effective ways to deal with spreading such pandemics. Still, developing countries cannot afford such solutions because these may severely damage the country’s economy. Therefore, this study presents the proactive technological mechanisms for business organizations to run their standard business processes during pandemic-like situations smoothly. The novelty of this study is to provide a state-of-the-art solution to prevent pandemics using industrial internet of things (IIoT) and blockchain-enabled technologies. Compared to existing studies, the immutable and tamper-proof contact tracing and quarantine management solution… More >

  • Open Access

    ARTICLE

    Survey of Resources Allocation Techniques with a Quality of Service (QoS) Aware in a Fog Computing Environment

    Wan Norsyafizan W. Muhamad1, Kaharudin Dimyati2, Muhammad Awais Javed3, Suzi Seroja Sarnin1,*, Divine Senanu Ametefe1

    CMC-Computers, Materials & Continua, Vol.76, No.1, pp. 1291-1308, 2023, DOI:10.32604/cmc.2023.037214

    Abstract The tremendous advancement in distributed computing and Internet of Things (IoT) applications has resulted in the adoption of fog computing as today’s widely used framework complementing cloud computing. Thus, suitable and effective applications could be performed to satisfy the applications’ latency requirement. Resource allocation techniques are essential aspects of fog networks which prevent unbalanced load distribution. Effective resource management techniques can improve the quality of service metrics. Due to the limited and heterogeneous resources available within the fog infrastructure, the fog layer’s resources need to be optimised to efficiently manage and distribute them to different applications within the IoT network.… More >

  • Open Access

    ARTICLE

    An Efficient Memory Management for Mobile Operating Systems Based on Prediction of Relaunch Distance

    Jaehwan Lee1, Sangoh Park2,*

    Computer Systems Science and Engineering, Vol.47, No.1, pp. 171-186, 2023, DOI:10.32604/csse.2023.038139

    Abstract Recently, various mobile apps have included more features to improve user convenience. Mobile operating systems load as many apps into memory for faster app launching and execution. The least recently used (LRU)-based termination of cached apps is a widely adopted approach when free space of the main memory is running low. However, the LRU-based cached app termination does not distinguish between frequently or infrequently used apps. The app launch performance degrades if LRU terminates frequently used apps. Recent studies have suggested the potential of using users’ app usage patterns to predict the next app launch and address the limitations of… More >

  • Open Access

    EDITORIAL

    Sustainable Development of Energy Systems and Climate Systems: Key Issues and Perspectives

    Bing Wang1,2,*, Lu Li1, Xinru Jiang1

    Energy Engineering, Vol.120, No.8, pp. 1763-1773, 2023, DOI:10.32604/ee.2023.027846

    Abstract Climate change and energy security issues are prominent challenges in current energy system management, which should be governed synergistically due to the feedback relationships between them. The “Energy Systems Management and Climate Change” Special Collection Issue in the journal of Energy Engineering provide insights into the field of energy systems management and climate change. From an extended perspective, this study discusses the key issues, research methods and models for energy system management and climate change research. Comprehensive and accurate prediction of energy supply and demand, the evaluation on the energy system resilience to climate change and the coupling methodology application… More > Graphic Abstract

    Sustainable Development of Energy Systems and Climate Systems: Key Issues and Perspectives

  • Open Access

    ARTICLE

    Design and Development of an Intelligent Energy Management System for a Smart Grid to Enhance the Power Quality

    Nisha Vasudevan1,*, Vasudevan Venkatraman2, A. Ramkumar1, T. Muthukumar3, A. Sheela4, M. Vetrivel5, R. J. Vijaya Saraswathi6, F. T. Josh7

    Energy Engineering, Vol.120, No.8, pp. 1747-1761, 2023, DOI:10.32604/ee.2023.027821

    Abstract MigroGrid (MG) has emerged to resolve the growing demand for energy. But because of its inconsistent output, it can result in various power quality (PQ) issues. PQ is a problem that is becoming more and more important for the reliability of power systems that use renewable energy sources. Similarly, the employment of nonlinear loads will introduce harmonics into the system and, as a result, cause distortions in the current and voltage waveforms as well as low power quality issues in the supply system. Thus, this research focuses on power quality enhancement in the MG using hybrid shunt filters. However, the… More >

  • Open Access

    ARTICLE

    THERMAL BEHAVIOR OF LITHIUM-ION BATTERIES: AGING, HEAT GENERATION, THERMAL MANAGEMENT AND FAILURE

    Daniela Galatroa,*, Maan Al-Zareera , Carlos Da Silvaa , David A. Romeroa , Cristina H. Amona

    Frontiers in Heat and Mass Transfer, Vol.14, pp. 1-18, 2020, DOI:10.5098/hmt.14.17

    Abstract This work presents a succinct review of the thermal behavior of lithium-ion batteries (LIBs) and its relationship with aging, heat generation, thermal management and thermal failure. This work focuses on the temperature effects that promote the main aging mechanisms in the anode and compare these effects among different cell chemistries for calendar and cycling aging modes. We review the strategies to mitigate aging, including the design of the battery thermal management system (BTMS), best practices of battery users to minimize the effect of stress factors, and the appropriate selection of the anode material. We discuss the heat generation and surface… More >

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