This review explores recent advancements that are made in remote sensing, enabling detailed analysis of our ecosystem through high resolution and multispectral imaging. The recent advancements in remote sensing includ...
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In view of the 'difficult' situation of trash front-end classification, this paper proposes a novel intelligent classification trash bin based on Internet of Things (IoT) technology. This trash bin uses both S...
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ISBN:
(纸本)9783031705069;9783031705076
In view of the 'difficult' situation of trash front-end classification, this paper proposes a novel intelligent classification trash bin based on Internet of Things (IoT) technology. This trash bin uses both STM32C8T6 control module and K210 vision module to control the operation of the whole equipment. Firstly, the image of the trash bin is collected by the OV5642 camera. Secondly, the function of trash detection and classification can be realized by the K210 vision module. Finally, the recognition results are transmitted to the STM32C8T6 control module through the UART serial port in the form of data, which controls the motor module, ultrasonic module and buzzer module to achieve trash classification, compression crushing and other functions. The experimental results show that the average accuracy of trash recognition is more than 87%. Compared with the traditional smart trash bin, the hardware of our design is added with recyclable trash compression and kitchen waste crushing structure, and the software of our design is added with LCD display interface for providing a more reliable, efficient and low-cost solution for trash classification.
This paper presents an adaptive fractional order sliding mode projective synchronization scheme for different hyperjerk systems with uncertainty and disturbances. A fractional order sliding mode controller with three ...
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Internet of Things (IoT), a modern technology, is a network of devices with sensors and embedded processors which can work even without the use of internet. It can digitally control the real world wired or wirelessly....
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Motor imagery electroencephalogram recognition is a key area in brain-computer interfaces, with applications in human-computer interaction, rehabilitation, and virtual reality. Traditional methods often overlook the b...
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This paper presents the design of highly orthogonal waveforms focusing on minimizing autocorrelation sidelobes and cross-correlation peaks. An enhanced Salp Swarm Algorithm is proposed to improve global search capabil...
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Gesture normality measures have a vast application space in multiple domains and good prospect of application promotion. A measuring method to assess the normativity of human gesture in an intelligent way by using com...
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By analyzing vast amounts of observational data through astronomical image analysis, you can gain valuable information about the structure of the universe. This paper presents a new method for clustering astronomical ...
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The integration of artificial intelligence in agriculture has revolutionized farming practices, enhancing crop yields and resource efficiency. However, existing machine learning systems primarily focus on livestock, o...
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Efficient and dynamic path planning has become an important topic for urban areas with larger density of connected vehicles (CV) which results in reduction of travel time and directly contributes to environmental sust...
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