Cloud-driven home automation systems are widely used to enable high levels of convenience, efficiency, and connectivity as cloud technology becomes more and more integrated into everyday household operations. Despite ...
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With the continuous development of IoT technology, smart home systems are playing an increasingly important role in improving the quality of life and convenience. Existing smart home solutions suffer from issues such ...
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In recent years, there has been an increase in the use of IoT devices for home automation, shopping malls, and other public places. However, for individuals who are mute or bedridden, accessing these devices can be di...
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ISBN:
(纸本)9798350346169
In recent years, there has been an increase in the use of IoT devices for home automation, shopping malls, and other public places. However, for individuals who are mute or bedridden, accessing these devices can be difficult, especially when they are voice-activated. To address this issue, hand gesture recognition technology has been developed to allow individuals to control these devices through simple hand movements. Image processing and pattern recognition are crucial for accurately detecting these hand gestures, and platforms such as Open CV, Python, PyCharm, and Media Pipe are commonly used in software development to achieve this. This technology has the potential to help people with physical, sensory, or intellectual disabilities to participate fully in all activities in society and enjoy equal opportunities. By using hand gestures to communicate with IoT devices, individuals who are deaf can also benefit from this technology. Ultimately, this technology has the potential to create a human-computer interaction that is accessible to all, making it a valuable addition to the field of assistive technology. Furthermore, hand gesture recognition technology is an excellent example of the potential of IoT devices to facilitate a more connected and automated world. However, it is important to note that with any new technology, there are also concerns around data privacy and security. As such, it is essential that developers prioritize ethical considerations and robust security protocols when designing these systems. Moreover, hand gesture recognition technology can be further improved through the use of artificial intelligence and machine learning. These technologies can help improve the accuracy of the recognition system and provide a more personalized experience for users. This system is highly reliable and user-friendly, and does not require any physical contact, which makes it highly suitable for disabled people. Furthermore, the development of new sensor technolo
This paper designs an environment monitoring system for data center rooms based on Visible Light communication positioning, which provides an innovative solution for the management of unattended data centers. Combined...
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Multilevel inverters are superior to conventional two level inverters in high and medium power industrial applications. A hybrid multilevel inverter control is proposed to mitigate the harmonic distortions in the outp...
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Category-level object pose estimation that can predict the pose and size of unseen objects from a known set of categories has gained increasing attention in recent years. Existing works map the observations to a deter...
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Environments for the simulation and testing of automation play an important role in developing new robots and machine architectures. This paper presents a design and automation environment to study the control traject...
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ISBN:
(纸本)9783031382406;9783031382413
Environments for the simulation and testing of automation play an important role in developing new robots and machine architectures. This paper presents a design and automation environment to study the control trajectory for new Cable-Driven Parallel Robot (CDPR) architectures, for instance, CDPRs with an unusual number of cables or different motor locations in the robot frame. In order to test the environment capabilities, an architecture of a planar under-constrained CDPR was designed, simulated, and implemented using standard industrial hardware. Both the simulated model and industrial prototype were running the same trajectories to determine the time delay and the error position between them. The tests have demonstrated that the simulated model of the CDPR reproduces the trajectories of the equivalent industrial prototype with a maximum deviation of 0.35% under loading and different speed conditions, despite the time delays produced by the data transmission and the non-deterministic communication protocols used to connect the industrial automationcontroller with the simulated model. The results have shown that the environment is suitable for trajectory control and workspace analysis of new CDPR architectures under different dynamic conditions.
According to a Global Burden of Diseases (GBD) report, 5.8 million individuals worldwide pass away from stroke each year. The primary cause of paralysis, which affects around 33.7% of the paralyzed population, is stro...
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RFID is one of the admired, powerful, and effectual technology in the field of communication, defense and detection in the Indoor RFID localization and tracking systems. The remoteness between RFID reader and object i...
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Using electric motors with a phase greater than three present some advantages over conventional three phase machines: higher reliability, reduced power per phase, increased torque density, and reduced torque pulsation...
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