In this paper, we propose an automatic video processed hand gesture based drone control *** is based on automatic gesture recognition using a camera mounted on the mini-drone and using the neural network concept to co...
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ISBN:
(纸本)9798350385939;9798350385922
In this paper, we propose an automatic video processed hand gesture based drone control *** is based on automatic gesture recognition using a camera mounted on the mini-drone and using the neural network concept to control the motion of the drone in terms of longitude and latitude. The model is implemented in two-folds. First, we developed the hardware control strategies to control the camera signals and the motor controls for direction and load. Secondly, we propose to implement the image processing and object/ gesture recognition model for control signal generation. The results acquired show cases the accuracy of the hardware response ranging from 0.3 to 1 Sec and software response for gesture recognition being 17 milliseconds, with true-positive and true-negative accuracy being more than 90%.
Vehicle positioning algorithms are essential for improving traffic management and safety by accurately locating vehicles in real-time, and, thus, minimizing congestion and accidents. They also support the development ...
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ISBN:
(纸本)9798350364309;9798350364293
Vehicle positioning algorithms are essential for improving traffic management and safety by accurately locating vehicles in real-time, and, thus, minimizing congestion and accidents. They also support the development of advanced driver assistance systems and autonomous vehicles, relying on precise positioning data for safe navigation. One of the solutions involves using image processing algorithms, which can have two approaches. One approach is decentralized, in which each vehicle performs its own computing steps and determines its position concerning the other nearby vehicles. The second approach, proposed in this paper, is centralized, where each vehicle sends data to a server that uses cloud computing to process all the data in real-time. As such, vehicles can create a more comprehensive view of the driving conditions in the area by using either of these two approaches, which can help them anticipate potential hazards and make more informed decisions.
In response to the expanding need for advanced digital communication tools, this paper presents the development of a novel chat application designed to transcend conventional boundaries by seamlessly integrating nativ...
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ISBN:
(纸本)9798350385939;9798350385922
In response to the expanding need for advanced digital communication tools, this paper presents the development of a novel chat application designed to transcend conventional boundaries by seamlessly integrating native LaTeX support. The primary objective of this research is to address the limitations of traditional chat platforms in facilitating precise communication of mathematical notations, equations, and scientific symbols. The significance of this research lies in its contribution to advancing the landscape of digital communication by providing a platform that seamlessly accommodates mathematical and scientific discourse. The chat application's intuitive user interface, coupled with the precision of LaTeX rendering, fosters an environment conducive to collaboration among researchers, educators, and professionals across various disciplines. Preliminary user testing demonstrates the effectiveness of the proposed solution in streamlining communication workflows, particularly in scenarios requiring the expression of complex mathematical ideas. The development of this chat application with built-in LaTeX support not only extends the capabilities of existing communication tools but also sets the stage for future innovations in enhancing the richness and inclusivity of online conversations.
The automatic vehicle speed control system (AVSCS) is a cutting-edge automotive innovation designed to enhance road safety and driving comfort. Integrating advanced sensor technology, AVSCS enables real-time monitorin...
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The supervision of data storage systems that are centered on the cloud has become more important for both the academic and industrial communities. Service providers must ensure the secure and reliable exchange of data...
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With unprecedented growth of IoT and wireless communication, notably 5G, evolves, a surge in new service types and mobile data traffic unfolds exponentially. This shift propels the processing of mobile device's ta...
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ISBN:
(纸本)9798350351491;9798350351484
With unprecedented growth of IoT and wireless communication, notably 5G, evolves, a surge in new service types and mobile data traffic unfolds exponentially. This shift propels the processing of mobile device's task from conventional distant and high capacity cloud computing to close proximity Mobile Edge computing (MEC), ensuring Quality of Service (QoS). MEC, characterized by the dispersion of network resources to the network's periphery, caters to the exigencies of delay-sensitive and computation-intensive services, ultimately enhancing user experience. Within MEC, computational offloading stands as a pivotal research domain. This paper presents a comprehensive overview of task offloading in MEC, beginning with an elucidation of the core conceptions and most promising MEC application scenarios. We then delineate the task offloading problem, analyzing industry research encompassing key technologies, strategies, scenarios, and objectives. Lastly, we offer insights into the existing challenges in current task offloading mechanisms and impending research avenues charting a course for subsequent investigative endeavors.
With the rapid development of science and technology, artificial intelligence (AI) has penetrated into every aspect of our lives. Especially in the field of intelligent control system, the application of AI algorithm ...
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This paper focuses on developing an advanced Stellar Data Analysis and Deep Space Data Analysis System, leveraging the power of machine learning and deep learning algorithms. Utilizing cutting-edge techniques such as ...
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The fast evolution of technology and the availability of huge datasets have enabled the improvement of extra sophisticated algorithms and equipment to improve the efficacy of best management practices amongst multinat...
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Effective traffic management is a crucial element of urban infrastructure, influencing road safety, traffic efficiency, and environmental sustainability. In the contemporary landscape, Field-Programmable Gate Array (F...
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