Due to the critical role of buildings in delivering community resilience after a severe scenario rising from a natural disaster (e.g. wind, earthquake, etc.), this paper presents an enhanced resilience-based design fr...
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Robot arms commonly used in the industrial sector are typically controlled using. ioysticks, although this method is not very effective. this project aims to improve control by developing a two-system control setup fo...
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ISBN:
(数字)9798350355314
ISBN:
(纸本)9798350355321
Robot arms commonly used in the industrial sector are typically controlled using. ioysticks, although this method is not very effective. this project aims to improve control by developing a two-system control setup for the robot arm, focusing on finger and arm control using gloves equipped with bending sensors to detect finger curvature and an inertial measurement unit (IMU) sensor to gauge hand movement direction. the linear actuators control the robot fingers, while Dynamixel smart servo motors control the robot arms. the system utilizes PID control for its control method. Testing the robot hand fingers control system revealed a good response, with an average delay of 0.3 seconds and an average error of 1.44°. Overall testing showed that the robot arm can move based on the set point given by the glove.
In the process of radar design, the way of digital signal processing determines the performance of the whole machine. the characteristics of LFM signal are analyzed, and the advantages of digital quadrature phase demo...
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the proceedings contain 80 papers. the topics discussed include: back-imaging scheme in RF-powered passive camera system;proactive attack detection at the edge through an ensemble deep learning model;a secure federate...
ISBN:
(纸本)9781665466677
the proceedings contain 80 papers. the topics discussed include: back-imaging scheme in RF-powered passive camera system;proactive attack detection at the edge through an ensemble deep learning model;a secure federated learning mechanism for data privacy protection;OFDM signal design based on electrode-based through-the-earth communication;spiking mean field multi-agent reinforcement learning for dynamic resources allocation in D2D networks;joint optimization of latency and reward for offloading dependent tasks in mobile edge computing;energy-efficient power control and resource allocation based on deep reinforcement learning for d2d communications in cellular networks;a fuzzy Bayesian network based on fault tree for vaccine safety risks analysis;a reinforcement learning-based task classification mechanism for privacy-enhanced mobile crowdsensing strategy;a mobile crowd sensing ecosystem based on fog computing infrastructure;preserving privacy for edge weights in communication networks;and design and implementation of anti-wireless electricity rubbing system.
the Internet of things (IoT) refers to a system of interconnected physical objects globally linked to each other through the internet. the IoT envisions connecting trillions of smart devices in our surroundings, gener...
the Internet of things (IoT) refers to a system of interconnected physical objects globally linked to each other through the internet. the IoT envisions connecting trillions of smart devices in our surroundings, generating a substantial volume of data that requires processing, transmission, and storage. Ensuring the security and privacy of data in IoT poses a formidable challenge, and it is regarded as the foremost priority for numerous present and upcoming applications. Devices like WSNs, RFIDs, smartphones, etc., constitute the primary elements of IoT networks, which are essentially resource-constrained devices. the implementation design of privacy and security management schemes for these devices is influenced by several factors such as optimal performance, minimal power usage, resilience against attacks, comprehensive end-to-end security, and protection against data tampering. Security systems for the IoT thwart unauthorized access to data by safeguarding against destruction or modifications. In this study, we proposed a confidentiality algorithm that combines DNA cryptography, Genetic Algorithm (GA), and Elliptic Curve Cryptography (ECC) to form a hybrid approach. the hybrid algorithm ensures robust data confidentiality during the transmission of information for IoT. Our proposed algorithm performs better regarding key generation, encryption, and decryption time with respect to the various file sizes.
this paper presents an approach for designing $H$ ∞ controllers for linear systems with uncertainties using MATLAB simulations. the proposed method utilizes a linear parametric uncertainty model to account for unce...
this paper presents an approach for designing $H$ ∞ controllers for linear systems with uncertainties using MATLAB simulations. the proposed method utilizes a linear parametric uncertainty model to account for uncertainties in the system's dynamics, ensuring robust performance. the design process follows the Mixed Sensitivity framework to balance desired performance and robustness. the Recursive Least Squares (RLS) algorithm is employed to estimate the model parameters iteratively, utilizing input and output data from MATLAB simulations. the synthesized $H$ ∞ controller achieves desired step response characteristics while maintaining closed-loop stability and robust performance in the presence of uncertain parameters, disturbances, and measurement noise. MATLAB simulations are conducted to validate the effectiveness of the approach, demonstrating its wide applicability and effectiveness in addressing uncertainties in control design.
Because of their close association with object identification, video analysis and picture comprehension have drawn a lot of interest in recent years. Detection of conventional objects the solution is built on handcraf...
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Right ventricle segmentation plays an important role in the computer-aided diagnosis of heart diseases. However, due to the small area of right ventricle and limited dataset, the performances of the existing deep lear...
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the phenomenon of globalisation, coupled withthe increasing consumer demand for goods, is compelling manufacturing companies to enhance their operational efficiency, cost-effectiveness, and environmental sustainabili...
the phenomenon of globalisation, coupled withthe increasing consumer demand for goods, is compelling manufacturing companies to enhance their operational efficiency, cost-effectiveness, and environmental sustainability. the advent of Industry 4.0 has presented significant opportunities for the manufacturing industry to use smart manufacturing technologies, hence enabling the transformation of traditional systems into Internet of things (IoT) enabled systems. this paper outlines the process of creating a computer Numerical Control (CNC) system that incorporates Internet of things (IoT) technology for didactic purpose. the system designed and built to incorporate a CNC lathe, sensors for monitoring of performance, an IoT gateway, edge devices, a human-machine interface (HMI), and an IoT platform known as ***. the first step is CNC mechanism design and development. this step is already done and tested, but need some improvements.
A practical and scalable ultra-high-definition resolution display system for multi-screen display wall is constructed based on multiple distributed low-definition display nodes, and the collaborative processing mechan...
A practical and scalable ultra-high-definition resolution display system for multi-screen display wall is constructed based on multiple distributed low-definition display nodes, and the collaborative processing mechanism between distributed display nodes is the key to the performance of the display system. In order to improve the performance of image synchronization between distributed nodes, a node collaboration mechanism based on IEEE1588 time synchronization protocol and phase-locked loop is proposed. A synchronization processing system applied to ultra-high-definition resolution displays is designed, which not only shortens the image processing time but also improves the image synchronization processing performance. the system synchronization test results show that the maximum display frame difference between splicing display units is 0.47 frame and the average system delay is 98.67ms. the provided system can effectively shorten system data processing time, solve synchronization problems of ultra-high-definition resolution displays, meet requirements of large screen display images, and improve users' experience effect.
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