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  • Open Access

    ARTICLE

    Industrial Automation Information Analogy for Smart Grid Security

    Muhammad Asif1, Ishfaq Ali1, Shahbaz Ahmad1, Azeem Irshad2, Akber Abid Gardezi3, Fawaz Alassery4, Habib Hamam5, Muhammad Shafiq6,*

    CMC-Computers, Materials & Continua, Vol.71, No.2, pp. 3985-3999, 2022, DOI:10.32604/cmc.2022.023010

    Abstract Industrial automation or assembly automation is a strictly monitored environment, in which changes occur at a good speed. There are many types of entities in the focusing environment, and the data generated by these devices is huge. In addition, because the robustness is achieved by sensing redundant data, the data becomes larger. The data generating device, whether it is a sensing device or a physical device, streams the data to a higher-level deception device for calculation, so that it can be driven and configured according to the updated conditions. With the emergence of the Industry 4.0 concept that includes a… 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

    Ontology Driven Testing Strategies for IoT Applications

    Muhammad Raza Naqvi1, Muhammad Waseem Iqbal2, Muhammad Usman Ashraf3, Shafiq Ahmad4, Ahmed T. Soliman4, Shahzada Khurram5, Muhammad Shafiq6,*, Jin-Ghoo Choi6

    CMC-Computers, Materials & Continua, Vol.70, No.3, pp. 5855-5869, 2022, DOI:10.32604/cmc.2022.019188

    Abstract Internet-of-Things (IoT) has attained a major share in embedded software development. The new era of specialized intelligent systems requires adaptation of customized software engineering approaches. Currently, software engineering has merged the development phases with the technologies provided by industrial automation. The improvements are still required in testing phase for the software developed to IoT solutions. This research aims to assist in developing the testing strategies for IoT applications, therein ontology has been adopted as a knowledge representation technique to different software engineering processes. The proposed ontological model renders 101 methodology by using Protégé. After completion, the ontology was evaluated in… More >

  • Open Access

    ARTICLE

    Low Cost Autonomous Learning and Advising Smart Home Automation System

    Daniel Chioran*, Honoriu Valean

    Intelligent Automation & Soft Computing, Vol.31, No.3, pp. 1939-1952, 2022, DOI:10.32604/iasc.2022.020649

    Abstract In today’s world, more than ever before, we are fascinated and drawn towards smart autonomous devices that make our lives safer and more comfortable. Devices that aid in reducing our energy consumption are also highly appreciated but often quite expensive to buy. This context is favorable for developing an autonomous smart home automation system (SHAS) with energy-saving potential and low price, making it widely accessible. This paper presents the design and prototype implementation of such a low-cost micro-controller based autonomous SHAS that learns the resident’s work schedule and integrates a wide array of sensors and actuators to automatically control the… More >

  • Open Access

    ARTICLE

    AI Based Traffic Flow Prediction Model for Connected and Autonomous Electric Vehicles

    P. Thamizhazhagan1,*, M. Sujatha2, S. Umadevi3, K. Priyadarshini4, Velmurugan Subbiah Parvathy5, Irina V. Pustokhina6, Denis A. Pustokhin7

    CMC-Computers, Materials & Continua, Vol.70, No.2, pp. 3333-3347, 2022, DOI:10.32604/cmc.2022.020197

    Abstract There is a paradigm shift happening in automotive industry towards electric vehicles as environment and sustainability issues gained momentum in the recent years among potential users. Connected and Autonomous Electric Vehicle (CAEV) technologies are fascinating the automakers and inducing them to manufacture connected autonomous vehicles with self-driving features such as autopilot and self-parking. Therefore, Traffic Flow Prediction (TFP) is identified as a major issue in CAEV technologies which needs to be addressed with the help of Deep Learning (DL) techniques. In this view, the current research paper presents an artificial intelligence-based parallel autoencoder for TFP, abbreviated as AIPAE-TFP model in… More >

  • Open Access

    ARTICLE

    Automated Disassembly Sequence Prediction for Industry 4.0 Using Enhanced Genetic Algorithm

    Anil Kumar Gulivindala1, M. V. A. Raju Bahubalendruni1, R. Chandrasekar1,2, Ejaz Ahmed2, Mustufa Haider Abidi3,*, Abdulrahman Al-Ahmari4

    CMC-Computers, Materials & Continua, Vol.69, No.2, pp. 2531-2548, 2021, DOI:10.32604/cmc.2021.018014

    Abstract The evolution of Industry 4.0 made it essential to adopt the Internet of Things (IoT) and Cloud Computing (CC) technologies to perform activities in the new age of manufacturing. These technologies enable collecting, storing, and retrieving essential information from the manufacturing stage. Data collected at sites are shared with others where execution automatedly occurs. The obtained information must be validated at manufacturing to avoid undesirable data losses during the de-manufacturing process. However, information sharing from the assembly level at the manufacturing stage to disassembly at the product end-of-life state is a major concern. The current research validates the information optimally… More >

  • Open Access

    ARTICLE

    AI/ML in Security Orchestration, Automation and Response: Future Research Directions

    Johnson Kinyua1, Lawrence Awuah2,*

    Intelligent Automation & Soft Computing, Vol.28, No.2, pp. 527-545, 2021, DOI:10.32604/iasc.2021.016240

    Abstract Today’s cyber defense capabilities in many organizations consist of a diversity of tools, products, and solutions, which are very challenging for Security Operations Centre (SOC) teams to manage in current advanced and dynamic cyber threat environments. Security researchers and industry practitioners have proposed security orchestration, automation, and response (SOAR) solutions designed to integrate and automate the disparate security tasks, processes, and applications in response to security incidents to empower SOC teams. The next big step for cyber threat detection, mitigation, and prevention efforts is to leverage AI/ML in SOAR solutions. AI/ML will act as a force multiplier empowering SOC analysts… More >

  • Open Access

    EDITORIAL

    Industrial Informatics-Based Applications and Techniques in Intelligent Automation

    Zheng Xu1,*, Qingyuan Zhou2

    Intelligent Automation & Soft Computing, Vol.26, No.5, pp. 1005-1006, 2020, DOI:10.32604/iasc.2020.010132

    Abstract This article has no abstract. More >

  • Open Access

    ARTICLE

    Intelligent Power Compensation System Based on Adaptive Sliding Mode Control Using Soft Computing and Automation

    Qidan Zhua, Zhibo Yanga,*

    Computer Systems Science and Engineering, Vol.34, No.4, pp. 179-189, 2019, DOI:10.32604/csse.2019.34.179

    Abstract The approach power compensator system (APCS) plays a role in the automatic carrier landing system (ACLS), and the performance of the APCS is affected by the carrier air-wake in the final-approach . In this paper, the importance of the APCS is verified through the analysis of the signal flow chart of the ACLS. Hence, it is necessary to suppress the carrier air-wake in order to improve the anti-interference ability. The adaptive sliding mode control (ASMC) not only has better dynamic tracking performance compared to the nonlinear mode, but also can efficiently resist the disturbance caused by the carrier air-wake. The… More >

  • Open Access

    ARTICLE

    Application of Multi Agent Systems in Automation of Distributed Energy Management in Micro-grid using MACSimJX

    Leo Rajua, R. S. Miltonb, Senthilkumaran Mahadevana

    Intelligent Automation & Soft Computing, Vol.24, No.3, pp. 483-491, 2018, DOI:10.1080/10798587.2017.1305647

    Abstract The objective of this paper is to monitor and control a micro-grid model developed in MATLABSimulink through Multi Agent System (MAS) for autonomous and distributed energy management. Since MATLAB/Simulink is not compatible with parallel operations of MAS, MAS operating in Java Agent Development Environment (JADE) is linked with MATLAB/Simulink through Multi Agent Control using Simulink with Jade extension (MACSimJX). This allows the micro-grid system designed with Simulink to be controlled by MAS for realizing the advantages of MAS in distributed and decentralized microgrid systems. JADE agents receive environmental information through Simulink and they coordinate to take best possible action, which… More >

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