the E-Health care system is crucial in modern health care. these systems are designed to secure medical data repositories. the main goal of this study is to ensure both security and privacy by enhancing fully homomorp...
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Existing magnetically actuated soft robots require an external magnetic field to generate motion, limiting them to carefully controlled laboratory settings. Here, we introduce an electromagnetically actuated soft robo...
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ISBN:
(纸本)9781665408288
Existing magnetically actuated soft robots require an external magnetic field to generate motion, limiting them to carefully controlled laboratory settings. Here, we introduce an electromagnetically actuated soft robot that can locomote without an external magnetic field. the robot is designed to carry its own magnet, which it alternately retracts and repels. Friction-biased feet transform this back-and-forth linear motion into forward locomotion, mimicking an earthworm gait. We demonstrate a characteristic velocity of 1.5 body lengths per second (31.3 mm/s) and actuation speeds over 150 Hz. this work paves the way for fully autonomous, untethered magnetic soft robots.
the proceedings contain 122 papers. the topics discussed include: integrating deep Q-networks and YOLO with autonomous robots for efficient warehouse management;machine learning and end to end deep learning for detect...
ISBN:
(纸本)9798350351378
the proceedings contain 122 papers. the topics discussed include: integrating deep Q-networks and YOLO with autonomous robots for efficient warehouse management;machine learning and end to end deep learning for detection of chronic heart failure from heart sounds;the role of IoT in revolutionizing payment systems and digital transactions in finance;ai-optimized hardware design for Internet of things (IoT) devices;electricity load prediction using ai;big data with cloud computing model for customer need identification in e-commerce industry;artificial neural networks for weld joint strength prediction in various welding techniques;enhancing data privacy in IoT cloud environments with trust management;and electric vehicle injected AC microgrid frequency stability study: an optimal fuzzy control approach.
the increasing global demand for sustainable energy sources necessitates the optimization of solar power systems. Solar panels play a crucial role in generating renewable energy;however, their effectiveness can be imp...
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Mobile and Commercial devices are at high risk when navigating through websites and clicking on various links. Due to lack of knowledge, Individuals click on various links showing up on legitimate chats leading to cli...
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this research paper explores the use of reinforcement learning (RL) to teach a toy car to self-drive in a game environment. the study focuses on the development of an RL-based algorithm that enables the toy car to lea...
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Automated industrial Visual Inspection systems (VIS) are typically customized for specific applications, limiting their flexibility. they are characterized by a demanding setup, high capital investments, and significa...
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Automated industrial Visual Inspection systems (VIS) are typically customized for specific applications, limiting their flexibility. they are characterized by a demanding setup, high capital investments, and significant knowledge barriers. In this paper, we propose an alternative architecture for the visual inspection of 3D printed parts or complex assemblies using a robotic arm equipped with hand-eye sensors and controllable lighting system. the core of the proposed Flexible Vision Inspection System (FVIS) is the self-extraction of 3D text annotations from STandard for the Exchange of Product model (STEP) AP242 files. the system selfselects and parametrizes the most suitable inspection algorithm, including lighting settings. Additionally, it autonomously performs self-localization, self-referencing of physical products, and self-planning of robot inspection path based on CAD information. this framework, characterized by self-X, cost-effective, non-invasive, and plug-and-play architecture has the potential to disrupt the business model of vision inspection, enabling an as-a-service solution aligned withthe next generation of flexible manufacturing.
Image captioning is a challenging task involving generating a textual description for an image using good computer vision and natural language processing techniques. this paper proposes a deep neural framework for ima...
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Active magnetic bearings (AMBs) have many advantages over traditional oil bearings due to their non-contact characteristics. they are environmentally friendly solution and have been proven to be highly reliable and av...
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Modern machine learning techniques in the natural language processing domain can be used to automatically generate scripts for goal-oriented dialogue systems. In this article we present a general framework for studyin...
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