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  • Open Access

    ARTICLE

    Multi-UAV Collaborative Mission Planning Method for Self-Organized Sensor Data Acquisition

    Shijie Yang1, Jiateng Yuan1, Zhipeng Zhang1, Zhibo Chen1,2, Hanchao Zhang4, Xiaohui Cui1,2,3,*

    CMC-Computers, Materials & Continua, Vol.81, No.1, pp. 1529-1563, 2024, DOI:10.32604/cmc.2024.055402 - 15 October 2024

    Abstract In recent years, sensor technology has been widely used in the defense and control of sensitive areas in cities, or in various scenarios such as early warning of forest fires, monitoring of forest pests and diseases, and protection of endangered animals. Deploying sensors to collect data and then utilizing unmanned aerial vehicle (UAV) to collect the data stored in the sensors has replaced traditional manual data collection as the dominant method. The current strategies for efficient data collection in above scenarios are still imperfect, and the low quality of the collected data and the excessive… More >

  • Open Access

    ARTICLE

    Performance Assessment and Configuration Analysis in the Study of SCADA System (Supervisory Control and Data Acquisition)

    R. Vanalakshmi1, S. Maragathasundari1,*, M. Kameswari1, B. Balamurugan2, C. Swedheetha3

    Intelligent Automation & Soft Computing, Vol.37, No.2, pp. 1399-1419, 2023, DOI:10.32604/iasc.2023.038506 - 21 June 2023

    Abstract Queuing models are used to assess the functionality and aesthetics of SCADA systems for supervisory control and data collection. Here, the main emphasis is on how the queuing theory can be used in the system’s design and analysis. The analysis’s findings indicate that by using queuing models, cost-performance ratios close to the ideal might be attained. This article discusses a novel methodology for evaluating the service-oriented survivability of SCADA systems. In order to evaluate the state of service performance and the system’s overall resilience, the framework applies queuing theory to an analytical model. As a More >

  • Open Access

    ARTICLE

    Blockchain-Based Data Acquisition with Privacy Protection in UAV Cluster Network

    Lemei Da1, Hai Liang1,*, Yong Ding1,2, Yujue Wang1, Changsong Yang1, Huiyong Wang3

    CMES-Computer Modeling in Engineering & Sciences, Vol.137, No.1, pp. 879-902, 2023, DOI:10.32604/cmes.2023.026309 - 23 April 2023

    Abstract The unmanned aerial vehicle (UAV) self-organizing network is composed of multiple UAVs with autonomous capabilities according to a certain structure and scale, which can quickly and accurately complete complex tasks such as path planning, situational awareness, and information transmission. Due to the openness of the network, the UAV cluster is more vulnerable to passive eavesdropping, active interference, and other attacks, which makes the system face serious security threats. This paper proposes a Blockchain-Based Data Acquisition (BDA) scheme with privacy protection to address the data privacy and identity authentication problems in the UAV-assisted data acquisition scenario.… More >

  • Open Access

    REVIEW

    Intelligent Identification over Power Big Data: Opportunities, Solutions, and Challenges

    Liang Luo1, Xingmei Li1, Kaijiang Yang1, Mengyang Wei1, Jiong Chen1, Junqian Yang1, Liang Yao2,*

    CMES-Computer Modeling in Engineering & Sciences, Vol.134, No.3, pp. 1565-1595, 2023, DOI:10.32604/cmes.2022.021198 - 20 September 2022

    Abstract The emergence of power dispatching automation systems has greatly improved the efficiency of power industry operations and promoted the rapid development of the power industry. However, with the convergence and increase in power data flow, the data dispatching network and the main station dispatching automation system have encountered substantial pressure. Therefore, the method of online data resolution and rapid problem identification of dispatching automation systems has been widely investigated. In this paper, we perform a comprehensive review of automated dispatching of massive dispatching data from the perspective of intelligent identification, discuss unresolved research issues and More >

  • Open Access

    ARTICLE

    Real Time Control System for Metro Railways Using PLC & SCADA

    Ishu Tomar*, Indu Sreedevi, Neeta Pandey

    Intelligent Automation & Soft Computing, Vol.35, No.2, pp. 1403-1421, 2023, DOI:10.32604/iasc.2023.028163 - 19 July 2022

    Abstract This paper proposes to adopt SCADA and PLC technology for the improvement of the performance of real time signaling & train control systems in metro railways. The main concern of this paper is to minimize the failure in automated metro railways system operator and integrate the information coming from Operational Control Centre (OCC), traction SCADA system, traction power control, and power supply system. This work presents a simulated prototype of an automated metro train system operator that uses PLC and SCADA for the real time monitoring and control of the metro railway systems. Here, SCADA… More >

  • Open Access

    ARTICLE

    UAV-Aided Data Acquisition Using Gaining-Sharing Knowledge Optimization Algorithm

    Rania M Tawfik1, Hazem A. A. Nomer2, M. Saeed Darweesh1,*, Ali Wagdy Mohamed3,4, Hassan Mostafa5,6

    CMC-Computers, Materials & Continua, Vol.72, No.3, pp. 5999-6013, 2022, DOI:10.32604/cmc.2022.028234 - 21 April 2022

    Abstract Unmanned Aerial Vehicles (UAVs) provide a reliable and energy-efficient solution for data collection from the Narrowband Internet of Things (NB-IoT) devices. However, the UAV’s deployment optimization, including locations of the UAV’s stop points, is a necessity to minimize the energy consumption of the UAV and the NB-IoT devices and also to conduct the data collection efficiently. In this regard, this paper proposes Gaining-Sharing Knowledge (GSK) algorithm for optimizing the UAV’s deployment. In GSK, the number of UAV’s stop points in the three-dimensional space is encapsulated into a single individual with a fixed length representing an More >

  • Open Access

    ARTICLE

    Methods for the Efficient Energy Management in a Smart Mini Greenhouse

    Vasyl Teslyuk1,*, Ivan Tsmots1, Michal Gregus ml.2, Taras Teslyuk3, Iryna Kazymyra1

    CMC-Computers, Materials & Continua, Vol.70, No.2, pp. 3169-3187, 2022, DOI:10.32604/cmc.2022.019869 - 27 September 2021

    Abstract To solve the problem of energy efficiency of modern enterprise it is necessary to reduce energy consumption. One of the possible ways is proposed in this research. A multi-level hierarchical system for energy efficiency management of the enterprise is designed, it is based on the modular principle providing rapid modernization. The novelty of the work is the development of new and improvement of the existing methods and models, in particular: 1) models for dynamic analysis of IT tools for data acquisition and processing (DAAP) in multilevel energy management systems, which are based on Petri nets;… More >

  • Open Access

    ARTICLE

    Development and Application of a Heating Remote Monitoring System Based on KingSCADA

    Chunlei Liu, Tian Gao, Chen Wang, Peiqi Wang, Limin Wang, Yi Wang, Yong Sun*

    FDMP-Fluid Dynamics & Materials Processing, Vol.17, No.6, pp. 1179-1193, 2021, DOI:10.32604/fdmp.2021.017543 - 08 September 2021

    Abstract A remote monitoring system for a secondary heating pipe network is designed on the basis of the KingSCADA software. Remote data communication is implemented through the IP mapping technology. Remote data are sorted through IOServer, and the remote monitoring of the pipe network unit port return is implemented accordingly. Using data such as water temperature and pressure of the water supply and return pipes, valve opening can be remotely adjusted to optimize the performances of the network to meet user needs in real time. The research results show that this remote monitoring system displays a More >

  • Open Access

    ARTICLE

    The Data Acquisition and Control System Based on IoT-CAN Bus

    He Gong1,2,3,4, Ji Li1, RuiWen Ni1, Pei Xiao1, Hang Ouyang1, Ye Mu1,*, Thobela Louis Tyasi5

    Intelligent Automation & Soft Computing, Vol.30, No.3, pp. 1049-1062, 2021, DOI:10.32604/iasc.2021.019730 - 20 August 2021

    Abstract Presently, the adoption of Internet of things(IOT)-related technologies in the Smart Farming domain is rapidly emerging. The increasing number of sensors used in diverse applications has provided a massive number of continuous, unbounded, rapid data and requires the management of distinct protocols, interfaces and intermittent connections. A low-cost, low-power, and low data-rate solution is proposed to fulfill the requirements of information monitoring for actual large-scale agricultural farms, which we will need pressingly in the future. This paper designs a heterogeneous data acquisition and control system for differentiated agricultural information monitoring terminal. Based on the IoT-CAN More >

  • Open Access

    REVIEW

    Supervision of Milling Tool Inserts using Conventional and Artificial Intelligence Approach: A Review

    Nilesh Dhobale1, Sharad Mulik2, R. Jegadeeshwaran3,*, Abhishek Patange4

    Sound & Vibration, Vol.55, No.2, pp. 87-116, 2021, DOI:10.32604/sv.2021.014224 - 21 April 2021

    Abstract Due to continuous cutting tool usage, tool supervision is essential for improving the metal cutting industry. In the metal removal process tool, supervision is carried out either by an operator or online tool supervision. Tool supervision helps to understand tool condition, dimensional accuracy, and surface superiority. For downtime in the metal cutting industry, the main reasons are tool breakage and excessive wear, so it is necessary to supervise tool which gives better tool life and enhance productivity. This paper presents different conventional and artificial intelligence techniques for tool supervision in the processing procedures that have More >

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