Ear image-based person recognition is one of the technologies that has garnered more attention in recent years. Person recognition is potentially attributed to the advancement of capabilities and capturing techniques....
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It has been generally observed that a set of clinically established features can be used to predict obesity. Due to lifestyle habits, most of the population deviates from the suggested treatment to control the state o...
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This paper presents the design and development of a fall detection system that integrates IoT technology to improve the safety and health of the elderly and people with mobility issues. The system employs a piezoresis...
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In this work, we propose a hybrid method to fast solve the optimization of array located on the PEC carrier inside the dielectric radome with parameters variation. By constructing a reusable low-rank reduced-order mod...
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Decreasing arable acreage and a growing world population are pushing for new farming systems. Achieving high crop production requires maintaining a balanced nutrient level in the soil. This study offers a machine lear...
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With the development of technology, the automobile has become an indispensable part of people’s daily lives. People’s needs for automobile entry systems have also changed, in automobile safety and ease of use have b...
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With the development of technology, the automobile has become an indispensable part of people’s daily lives. People’s needs for automobile entry systems have also changed, in automobile safety and ease of use have become more and more important. In recent years, face recognition technology has made significant progress, and face recognition technology has been widely used in various fields, especially face recognition based on deep learning has great advantages in accuracy, recognition speed, and security, and can provide a more secure and reliable way of identity verification. Traditional automobile entry systems usually use mechanical keys and remote control keys, which do not remove the key and have certain shortcomings in security and user experience. Face recognition-based car entry systems can make up for these shortcomings and provide a more convenient and intuitive user experience. Combining face recognition with automobiles is also a hot topic in current scientific research. In this paper, a set of automobile entry systems with high efficiency and security is designed according to the face recognition method research, using three deep learning models: face detection, live body detection, and face recognition. In face detection, the RetinaFace lightweight model is used the network structure is improved, and the detection speed is increased by 14.9%. For face live detection and face recognition, the MobileFaceNet lightweight network is used as the base network for live detection and face recognition, achieving a 98.9% accuracy rate on the CelebA Spoof live detection dataset. In face recognition, feature extraction is performed on the detected faces after face detection, and the recognition results are output by comparing with the recorded faces. Improvements to its network improved the recognition accuracy by 0.18%, 0.77%, and 0.73% on the LFW, CFP FP, and AgeDB30 datasets, respectively. The model was deployed on Raspberry Pi and connected to CANoe via CAN bu
This paper presents a study which examines the pedagogical-interactional dimensions in computerscience education at universities of applied sciences, focusing on the expectations and perceptions of students and profe...
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Emerging non-volatile memory technologies provides a solution to break through the limitations of the vonNeumann architecture and using these technologies to develop logic-in-memory circuits. In this paper, we propose...
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Quasigroups have various applications in mathematics, computerscience, and cryptography. In coding theory and cryptography they have been used in error-correcting codes, error-detection codes, to construct key exchan...
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In the auto insurance industry, accurate risk assessment is essential for determining fair premiums and managing claims effectively. As customer data grows in volume and complexity, machine learning has become crucial...
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