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  • Open Access


    Articuler cognition spatiale et cognition environnementale pour saisir les représentations socio-cognitives de l’espace

    Thierry Ramadier

    Revue Internationale de Géomatique, Vol.30, No.1, pp. 13-35, 2020, DOI:10.3166/rig.2020.00101

    Abstract This article is based on a body of research on spatial cognition in order to show, on the one hand, that still scattered results argue in favour of a social construction of “mental maps”, and on the other hand, that it is by combining the analysis of the social meanings of geographical space (environmental cognition) with that of the topological distributions of geographical elements internalised by individuals (spatial cognition) that it is possible to account for this socialisation of cognitive mapping. The author thus questions the reasons that hinder a socio-cognitive analysis of “mental maps”, whereas, moreover, cartographic representations are… More >

  • Open Access


    Cognitive Granular-Based Path Planning and Tracking for Intelligent Vehicle with Multi-Segment Bezier Curve Stitching

    Xudong Wang1,2, Xueshuai Qin1, Huiyan Zhang2,*, Luis Ismael Minchala3

    Intelligent Automation & Soft Computing, Vol.37, No.1, pp. 385-400, 2023, DOI:10.32604/iasc.2023.036633

    Abstract Unmanned vehicles are currently facing many difficulties and challenges in improving safety performance when running in complex urban road traffic environments, such as low intelligence and poor comfort performance in the driving process. The real-time performance of vehicles and the comfort requirements of passengers in path planning and tracking control of unmanned vehicles have attracted more and more attentions. In this paper, in order to improve the real-time performance of the autonomous vehicle planning module and the comfort requirements of passengers that a local granular-based path planning method and tracking control based on multi-segment Bezier curve splicing and model predictive… More >

  • Open Access


    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


    Improvements in Weather Forecasting Technique Using Cognitive Internet of Things

    Kaushlendra Yadav*, Anuj Singh, Arvind Kumar Tiwari

    Computer Systems Science and Engineering, Vol.46, No.3, pp. 3767-3782, 2023, DOI:10.32604/csse.2023.033991

    Abstract Forecasting the weather is a challenging task for human beings because of the unpredictable nature of the climate. However, effective forecasting is vital for the general growth of a country due to the significance of weather forecasting in science and technology. The primary motivation behind this work is to achieve a higher level of forecasting accuracy to avoid any damage. Currently, most weather forecasting work is based on initially observed numerical weather data that cannot fully cover the changing essence of the atmosphere. In this work, sensors are used to collect real-time data for a particular location to capture the… More >

  • Open Access


    Efficient Resource Allocation Algorithm in Uplink OFDM-Based Cognitive Radio Networks

    Omar Abdulghafoor1, Musbah Shaat2, Ibraheem Shayea3, Ahmad Hamood1, Abdelzahir Abdelmaboud4, Ashraf Osman Ibrahim5, Fadhil Mukhlif6,*, Herish Badal1, Norafida Ithnin6, Ali Khadim Lwas7

    CMC-Computers, Materials & Continua, Vol.75, No.2, pp. 3045-3064, 2023, DOI:10.32604/cmc.2023.033888

    Abstract The computational complexity of resource allocation processes, in cognitive radio networks (CRNs), is a major issue to be managed. Furthermore, the complicated solution of the optimal algorithm for handling resource allocation in CRNs makes it unsuitable to adopt in real-world applications where both cognitive users, CRs, and primary users, PUs, exist in the identical geographical area. Hence, this work offers a primarily price-based power algorithm to reduce computational complexity in uplink scenarios while limiting interference to PUs to allowable threshold. Hence, this paper, compared to other frameworks proposed in the literature, proposes a two-step approach to reduce the complexity of… More >

  • Open Access


    Power Optimized Multiple-UAV Error-Free Network in Cognitive Environment

    Shakti Raj Chopra1, Parulpreet Singh1, Ahmed Alhussen2,*, Nitin Mittal3, MohdAnul Haq4

    CMC-Computers, Materials & Continua, Vol.75, No.2, pp. 3189-3201, 2023, DOI:10.32604/cmc.2023.030061

    Abstract Many extensive UAV communication networks have used UAV cooperative control. Wireless networking services can be offered using unmanned aerial vehicles (UAVs) as aerial base stations. Not only is coverage maximization, but also better connectivity, a fundamental design challenge that must be solved. The number of applications for unmanned aerial vehicles (UAVs) operating in unlicensed bands is fast expanding as the Internet of Things (IoT) develops. Those bands, however, have become overcrowded as the number of systems that use them grows. Cognitive Radio (CR) and spectrum allocation approaches have emerged as a potential approach for resolving spectrum scarcity in wireless networks,… More >

  • Open Access


    Low Altitude Satellite Constellation for Futuristic Aerial-Ground Communications

    Saifur Rahman Sabuj1, Mohammad Saadman Alam2, Majumder Haider2, Md Akbar Hossain3, Al-Sakib Khan Pathan4,*

    CMES-Computer Modeling in Engineering & Sciences, Vol.136, No.2, pp. 1053-1089, 2023, DOI:10.32604/cmes.2023.024078

    Abstract This paper discusses the significance and prospects of low altitude small satellite aerial vehicles to ensure smooth aerial-ground communications for next-generation broadband networks. To achieve the generic goals of fifthgeneration and beyond wireless networks, the existing aerial network architecture needs to be revisited. The detailed architecture of low altitude aerial networks and the challenges in resource management have been illustrated in this paper. Moreover, we have studied the coordination between promising communication technologies and low altitude aerial networks to provide robust network coverage. We talk about the techniques that can ensure userfriendly control and monitoring of the low altitude aerial… More > Graphic Abstract

    Low Altitude Satellite Constellation for Futuristic Aerial-Ground Communications

  • Open Access


    Experimental Study on the Influence of Cognition and Emotion on Moral Judgment of College Students in Dilemma Situation

    Chenhao Sun, Shaobei Xiao, Ting Liu, Xiaolin Yuan*

    International Journal of Mental Health Promotion, Vol.25, No.2, pp. 275-286, 2023, DOI:10.32604/ijmhp.2022.017934

    Abstract Objective: To study the influence of cognition and emotion on moral judgment of college students under the circumstance of whether the cognitive resources are occupied and whether the emotion is induced. Methods: This experiment uses a multi-factor mixed experiment method to divide experiments and groups. Experiment 1 uses a two-factor mixed experimental design of 2 (cognitive resource occupancy group, cognitive resource non-occupied group) × 3 (difficult situation type). Experiment 2 uses a two-factor mixed experimental design of 2 (emotion induction group, emotion induction and cognitive resource occupation group) × 3 (three types of dilemma situation types) is adopted. The dependent… More >

  • Open Access


    Spectrum Sensing Using Optimized Deep Learning Techniques in Reconfigurable Embedded Systems

    Priyesh Kumar*, Ponniyin Selvan

    Intelligent Automation & Soft Computing, Vol.36, No.2, pp. 2041-2054, 2023, DOI:10.32604/iasc.2023.030291

    Abstract The exponential growth of Internet of Things (IoT) and 5G networks has resulted in maximum users, and the role of cognitive radio has become pivotal in handling the crowded users. In this scenario, cognitive radio techniques such as spectrum sensing, spectrum sharing and dynamic spectrum access will become essential components in Wireless IoT communication. IoT devices must learn adaptively to the environment and extract the spectrum knowledge and inferred spectrum knowledge by appropriately changing communication parameters such as modulation index, frequency bands, coding rate etc., to accommodate the above characteristics. Implementing the above learning methods on the embedded chip leads… More >

  • Open Access


    Impediments of Cognitive System Engineering in Machine-Human Modeling

    Fayaz Ahmad Fayaz1,2, Arun Malik2, Isha Batra2, Akber Abid Gardezi3, Syed Immamul Ansarullah4, Shafiq Ahmad5, Mejdal Alqahtani5, Muhammad Shafiq6,*

    CMC-Computers, Materials & Continua, Vol.74, No.3, pp. 6689-6701, 2023, DOI:10.32604/cmc.2023.032998

    Abstract A comprehensive understanding of human intelligence is still an ongoing process, i.e., human and information security are not yet perfectly matched. By understanding cognitive processes, designers can design humanized cognitive information systems (CIS). The need for this research is justified because today’s business decision makers are faced with questions they cannot answer in a given amount of time without the use of cognitive information systems. The researchers aim to better strengthen cognitive information systems with more pronounced cognitive thresholds by demonstrating the resilience of cognitive resonant frequencies to reveal possible responses to improve the efficiency of human-computer interaction (HCI). A… More >

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