This research focuses on the trade-off between data privacy and the convenience of using modern, built-in automobile infotainment systems as a precursor to intelligent vehicles. Our research approach involves a survey...
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This research focuses on the trade-off between data privacy and the convenience of using modern, built-in automobile infotainment systems as a precursor to intelligent vehicles. Our research approach involves a survey with experimental elements. Various dimensions of consumers' 'convenience of use' and 'openness to sharing data' were identified via focus groups and incorporated into the survey of a sample of young consumers. The conceptual model was tested using structural equation modelling in SmartPLS 4. The main finding is the positive relationship between 'convenience of use' and 'openness to sharing data' implying the wiliness of young consumers to forgo privacy concerns in exchange of higher levels of perceived convenience. The warning given to the experimental group about the potential risk to data privacy did not solicit the expected response, as both the experimental and the control groups were equally willing to exchange their personal data for the convenience of using modern infotainment systems. The main contribution of this empirical study is in pursuing a nomological framework to conceptualize and develop an original scale for the 'convenience of use' and 'openness to sharing data' constructs. To our knowledge, this is the first study to focus on the convenience/data privacy trade-off applied to modern infotainment systems. Modern infotainment systems are the heralds of intelligent vehicles and more automated modes of transportation. Today consumers frequently exchange their data for convenience, so the legal and ethical boundaries of data-sharing in the context of infotainment systems must be discussed.
This paper discusses the optimal synchronisation problem of multi-agent systems with unknown system dynamics, where each agent is subject to both input saturation and external disturbances. A novel data-driven control...
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This paper discusses the optimal synchronisation problem of multi-agent systems with unknown system dynamics, where each agent is subject to both input saturation and external disturbances. A novel data-driven control approach is developed in this paper based on low-gain technique, output regulation, differential game theory, and adaptive dynamic programming (ADP). Unlike existing approaches to the data-driven optimal synchronisation problem, our method eliminates the need for an initially admissible stabilising control policy, and the proposed distributed control law ensures asymptotic tracking even in the presence of both modelling disturbances and unmodeled disturbances.
Advancement and flourishment in mobile edge computing (MEC) have motivated the farmers to deploy an efficient ecosystem in their farms. For further real-time monitoring and surveillance of the environment along with t...
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Advancement and flourishment in mobile edge computing (MEC) have motivated the farmers to deploy an efficient ecosystem in their farms. For further real-time monitoring and surveillance of the environment along with the deployment of intelligent farming, digital twin is considered as one of the emerging and most promising technologies. For proper optimization and utilization of physical systems, the physical components of the ecosystems are connected with the digital space. Further, the smart technologies and devices have convinced to address the expected level of requirements for accessing the rapid growth in farming associated with digital twins. However, with a large number of smart devices, huge amount of generated information from heterogeneous devices may increase the privacy and security concern by challenging the interrupting operations and management of services in smart farming. In addition, the growing risks associated with MEC by modifying the sensor readings and quality of service further affect the overall growth of intelligent farming. In order to resolve these challenges, this paper has proposed a secure surveillance architecture to detect deviations by incorporating digital twins in the ecosystem. Further, for real-time monitoring and preprocessing of information, we have integrated a four-dimensional trust mechanism along with blockchain. The four-dimensional trusted method recognizes the behavior of each communicating device during the transmission of information in the network. Further, blockchain strengthens the surveillance process of each device behavior by continuously monitoring their activities. The proposed mechanism is tested and verified against various abnormalities received from sensors by simulating false use cases in the ecosystem and compared against various security metrics over existing approaches. Furthermore, the proposed mechanism is validated against several security threats such as control command threat, coordinated cyber th
The development of network technology has laid a solid foundation for the network transmission of integrated media. The amount of information in integrated media is large, and it has the characteristics of real-time, ...
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The proceedings contain 60 papers. The topics discussed include: military actions and climate change as drivers of wildfires in northern regions of Ukraine in 2022-2023;investigation of regeneration and spreading of b...
The proceedings contain 60 papers. The topics discussed include: military actions and climate change as drivers of wildfires in northern regions of Ukraine in 2022-2023;investigation of regeneration and spreading of black locust (Robinia pseudoacacia L.) in Lithuania;analysis of possibilities for rainwater harvesting from green roofs as a part of sustainable water management in Lithuania;enhancing sustainability in municipal solid waste management: an anaerobic-based scenario for Kaunas MBT;geospatial analysis of the degraded areas of Vidzeme and Latgale regions of Latvia;problems of determining wetland boundaries: the case of Lithuania;and the potential of sand – polonite filters for reducing total phosphorus concentration in subsurface horizontal flow constructed wetlands.
This paper presents the design and implementation of an innovative control valve system that integrates a ball valve run by a servo motor, IoT capabilities, and PID control for precise operation. The system uses a 1/4...
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Quantum computing is poised to revolutionize numerous fields, including artificial intelligence (AI) and machine learning (ML), by offering the potential for vastly improved computational efficiency and speed. This pa...
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The proceedings contain 27 papers. The special focus in this conference is on Machine Learning, Cloud computing and intelligent Mining. The topics include: Decentralized Optimal Tracking control of MRMs Under Hea...
ISBN:
(纸本)9789819616978
The proceedings contain 27 papers. The special focus in this conference is on Machine Learning, Cloud computing and intelligent Mining. The topics include: Decentralized Optimal Tracking control of MRMs Under Health Indicator-Based Event-Triggered Mechanism;iterative Learning control for Nonlinear Switched Continuous-Time systems with Time-Varying Delay;Model Migration and Joint Communication and computing Resource Allocation in Native AI Wireless Networks;FTB-RRP control for 2-D Continuous-Discrete systems in Roesser Model;Optimal UAVs Placement for TDOA Localization Method Based On An Improved Grey Wolf Optimization Algorithm;A Bat-BP Optimization Algorithm Based System of Dry Ice Decontamination for UAV;Optimal Resource Allocation Algorithm for Multi-user AI Tasks in Native AI Networks;study on Non-intrusive Load Monitoring Method Based on K-means Clustering and Dual Convolutional Neural Networks;research and Application of Computer Vision and Predictive Maintenance in Health Management of Conveying Equipment;attitude Stabilization control for Unmanned Aerial Vehicle with Robotic Arm Based on Fixed-Time Observer Active Disturbance Rejection control;state Estimation and control of Switched Neural Networks with Mode-Dependent Hybrid Dwell Time;Distributed Consensus control Research of Unmanned Aerial Vehicle (UAV) Swarms Based on Lennard-Jones Potential;lifetime Prediction of Fuel Cell Composite Operating Conditions Based on Genetic Algorithm Optimized Elman Neural Network;a Tiered Native Digital Twin for Telco Networks;defender: The Possibility of Repairing Jailbreak Defects;research on Special Vision Recognition and Fault Alarm System for Vertical Roller;malicious Traffic Classification Algorithm Based on Multimodal Fusion;Enhanced Affine Formation control in Multi-agent systems with Disturbance Rejection Using RISE controller;model Predictive control for Contour control in Biaxial System.
The proceedings contain 27 papers. The special focus in this conference is on Machine Learning, Cloud computing and intelligent Mining. The topics include: Decentralized Optimal Tracking control of MRMs Under Hea...
ISBN:
(纸本)9789819624676
The proceedings contain 27 papers. The special focus in this conference is on Machine Learning, Cloud computing and intelligent Mining. The topics include: Decentralized Optimal Tracking control of MRMs Under Health Indicator-Based Event-Triggered Mechanism;iterative Learning control for Nonlinear Switched Continuous-Time systems with Time-Varying Delay;Model Migration and Joint Communication and computing Resource Allocation in Native AI Wireless Networks;FTB-RRP control for 2-D Continuous-Discrete systems in Roesser Model;Optimal UAVs Placement for TDOA Localization Method Based On An Improved Grey Wolf Optimization Algorithm;A Bat-BP Optimization Algorithm Based System of Dry Ice Decontamination for UAV;Optimal Resource Allocation Algorithm for Multi-user AI Tasks in Native AI Networks;study on Non-intrusive Load Monitoring Method Based on K-means Clustering and Dual Convolutional Neural Networks;research and Application of Computer Vision and Predictive Maintenance in Health Management of Conveying Equipment;attitude Stabilization control for Unmanned Aerial Vehicle with Robotic Arm Based on Fixed-Time Observer Active Disturbance Rejection control;state Estimation and control of Switched Neural Networks with Mode-Dependent Hybrid Dwell Time;Distributed Consensus control Research of Unmanned Aerial Vehicle (UAV) Swarms Based on Lennard-Jones Potential;lifetime Prediction of Fuel Cell Composite Operating Conditions Based on Genetic Algorithm Optimized Elman Neural Network;a Tiered Native Digital Twin for Telco Networks;defender: The Possibility of Repairing Jailbreak Defects;research on Special Vision Recognition and Fault Alarm System for Vertical Roller;malicious Traffic Classification Algorithm Based on Multimodal Fusion;Enhanced Affine Formation control in Multi-agent systems with Disturbance Rejection Using RISE controller;model Predictive control for Contour control in Biaxial System.
The proceedings contain 27 papers. The special focus in this conference is on Machine Learning, Cloud computing and intelligent Mining. The topics include: Decentralized Optimal Tracking control of MRMs Under Hea...
ISBN:
(纸本)9789819616930
The proceedings contain 27 papers. The special focus in this conference is on Machine Learning, Cloud computing and intelligent Mining. The topics include: Decentralized Optimal Tracking control of MRMs Under Health Indicator-Based Event-Triggered Mechanism;iterative Learning control for Nonlinear Switched Continuous-Time systems with Time-Varying Delay;Model Migration and Joint Communication and computing Resource Allocation in Native AI Wireless Networks;FTB-RRP control for 2-D Continuous-Discrete systems in Roesser Model;Optimal UAVs Placement for TDOA Localization Method Based On An Improved Grey Wolf Optimization Algorithm;A Bat-BP Optimization Algorithm Based System of Dry Ice Decontamination for UAV;Optimal Resource Allocation Algorithm for Multi-user AI Tasks in Native AI Networks;study on Non-intrusive Load Monitoring Method Based on K-means Clustering and Dual Convolutional Neural Networks;research and Application of Computer Vision and Predictive Maintenance in Health Management of Conveying Equipment;attitude Stabilization control for Unmanned Aerial Vehicle with Robotic Arm Based on Fixed-Time Observer Active Disturbance Rejection control;state Estimation and control of Switched Neural Networks with Mode-Dependent Hybrid Dwell Time;Distributed Consensus control Research of Unmanned Aerial Vehicle (UAV) Swarms Based on Lennard-Jones Potential;lifetime Prediction of Fuel Cell Composite Operating Conditions Based on Genetic Algorithm Optimized Elman Neural Network;a Tiered Native Digital Twin for Telco Networks;defender: The Possibility of Repairing Jailbreak Defects;research on Special Vision Recognition and Fault Alarm System for Vertical Roller;malicious Traffic Classification Algorithm Based on Multimodal Fusion;Enhanced Affine Formation control in Multi-agent systems with Disturbance Rejection Using RISE controller;model Predictive control for Contour control in Biaxial System.
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