Detecting complex malware poses a significant challenge to cybersecurity, as traditional methods face limitations when dealing with diverse and evolving attacks. This paper proposes an AI-based framework for detecting...
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With the application of new technologies such as the Internet of Things, cloud computing, and big data, industrial control systems are increasingly becoming digitalized, networked, and intelligent, which injects vital...
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Aiming at the fixed-time dichotomous consistency control problem of a first-order nonlinear multi-intelligence body system with external interference, this paper designs a fixed-time dichotomous consistency control al...
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The proceedings contain 419 papers. The topics discussed include: analysis of the relationship between international service trade and economic growth based on VAR model;building a reference model for a manufacturing ...
The proceedings contain 419 papers. The topics discussed include: analysis of the relationship between international service trade and economic growth based on VAR model;building a reference model for a manufacturing execution system (MES) platform in an industry 4.0 context;study on multi-objective dynamic optimization method for architectural engineering based on BIM;research on LDPC coding cooperative system based on intelligent joint iterative decoding;precise unmanned aerial vehicle visual positioning based on neural network;non-linear regression method for instability problems in haptic rendering system;airborne gateway: key technology of earth observation system in the space-air-ground integration network;airborne gateway: key technology of earth observation system in the space-air-ground integration network;and research on the propagation characteristics of social events in the context of micro-media.
This study applies Wi-Fi Channel State information (CSI) technology using ESP32 modules to detect intruders in horticulture areas. The ESP32-based horticulture field intruder detection system utilises the ESP32 microc...
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ISBN:
(纸本)9783031744396;9783031744402
This study applies Wi-Fi Channel State information (CSI) technology using ESP32 modules to detect intruders in horticulture areas. The ESP32-based horticulture field intruder detection system utilises the ESP32 microcontroller to gather Wi-Fi Channel State informationdata, allowing for cost-effective detection of intruders without the need for further sensors. The system incorporates a Li-ion battery and a step-up voltage module in the transmitter and receiver components. The study utilises the Butterworth low-pass filter and median filter to pre-process CSI data, then employs the standard deviation technique to analyse the fluctuations in CSI data to determine the presence of humans. This system aims to offer effective human intrusion detection to prevent the theft of fruits or crops in horticultural areas.
Depth model-based behavior estimation of human skeletal points is widely used in the field of behavior recognition. In order to improve the accuracy of behavior recognition, the complexity and computation of the desig...
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Handwritten digit recognition (HDR) is one of the most classic application scenarios in machine learning and is often employed to validate algorithms and techniques. The task poses multiple challenges due to variation...
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Higher education occupies an important position in China’s education system, but the high poverty rate results in a heavy workload for poverty identification. The current poverty identification process mainly relies ...
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This paper proposes a hierarchical data-driven scheduling-control framework for a multi-machine/mode production system to operate in an energy-efficient manner. At the scheduling layer, the scheduling problem incorpor...
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With the rapid advancement of the Internet of Things (IoT) and intelligence, traditional attribute based searchable encryption (ABSE) schemes has been unable to satisfy the data privacy and security requirements of In...
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