This study focuses on development of a secure and efficient image cryptosystem optimized for IoT devices. The proposed technique addresses the and resource constraints of IoT devices, it introduces a hybrid encryption...
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To understand the recent advancements in the application of artificial intelligence in the field of signal processing, this paper employs VOSviewer and CiteSpace to conduct a quantitive analysis and visualization of r...
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The effective use of high technology in all sectors of society can achieve the purpose of technological empowerment and facilitate the development of education, medical, aerospace, biomedical and other fields to overc...
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With the rapid development of internet technology, video service providers have gradually amassed substantial user bases, which in turn generate significant traffic and revenue. However, this also escalates network lo...
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Brain-inspired intelligence is a form of machine intelligence that mimics human brain *** machine intelligence similar to human consciousness is the ultimate task of brain-inspired intelligence and the long-term goal ...
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Text-to-speech (TTS) turns written text into spoken words using artificial voices. This uses natural language processing (NLP) and speech synthesis to make audio from text input. TTS has many uses - for people with vi...
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With the rapid development of network technologies and increasing number of complex network attacks, traditional cybersecurity approaches do not provide sufficient protection against emerging threats. In the hybrid mo...
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In this paper, a computer-vision(CV)-based robotic autonomous part repairing system is developed. Robotic autonomous part repair is needed to retrofit high-value parts as robotic-based machining system offers advantag...
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ISBN:
(纸本)9798350355376;9798350355369
In this paper, a computer-vision(CV)-based robotic autonomous part repairing system is developed. Robotic autonomous part repair is needed to retrofit high-value parts as robotic-based machining system offers advantages in manufacturing flexibility, adaptability, precision, and low cost. Although CV-based robotic manipulation has been explored for applications, challenges emerge in CV-based robotic machining applications due to the more stringent precision and accuracy in part identification, the inevitable eccentric misalignment in data acquisition, the artifacts of the laser-scanned data, and the needs for simultaneous force and path tracking. The contribution of this work is the development of an experimental-based approach to quantify and compensate for the eccentric misalignment, and then, identify and quantify the defect on the part. We illustrate the function and performance of the CV-based robotic autonomous repairing through experiment.
With the rapid development of computertechnology and internet technology, online teaching has undergone certain changes in terms of its connotation, forms of expression, and functional roles. Compared to traditional ...
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In this study, we propose the architecture and implementation of an IoT and machine learning powered Integrated Transport Management (ITM-SCD)for Smart City development to mitigate the issues described above. The desi...
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