the proceedings contain 67 papers. the topics discussed include: QEEA algorithm for throughput improvement in the LTE networks;Simulink generated control algorithm for nine-phase PMS motor;investigation of cell surfac...
ISBN:
(纸本)9781538638972
the proceedings contain 67 papers. the topics discussed include: QEEA algorithm for throughput improvement in the LTE networks;Simulink generated control algorithm for nine-phase PMS motor;investigation of cell surface interfacial interactions of HeLa cell cultured over self-assembled monolayer surface;study of anti-cancer mechanism: neolamarckia cadamba leaves exposed with electric field on HeLa cell;real-time teat detection using Haar cascade classifier in smart automatic milking system;lightning impulse parameters estimation using fractional model order reduction;evaluating bad and good EEG segments based on extracted features: towards an automated understanding of infant behavior and attention;medical data analysis based on NAO robot: an automated approach towards robotic real-time interaction with human body;a systematic review: attention assessment of virtual reality based intervention for learning in children with autism spectrum disorder;NDVI image extraction of an agricultural land using an autonomous Quadcopter with a filter-modified camera;autonomous seed-planting vehicle;and gravitational search algorithm optimization for bi-objective flow shop scheduling using weighted dispatching rules.
Withthe exponential growth of Internet of things (IoT) devices, vast amounts of diverse data require real-time processing. However, traditional cloud computing approaches often struggle to meet these demands due to i...
详细信息
ISBN:
(数字)9798350377033
ISBN:
(纸本)9798350377040;9798350377033
Withthe exponential growth of Internet of things (IoT) devices, vast amounts of diverse data require real-time processing. However, traditional cloud computing approaches often struggle to meet these demands due to issues related to latency and bandwidth constraints. As an emerging computing paradigm, edge computing significantly reduces data transmission latency and improves processing efficiency. In this paper, a real-time data processing system combining edge computing is proposed to realize efficient processing and intelligent analysis of distributed data. Firstly, this paper systematically analyzes the potential advantages and challenges of edge computing and artificial intelligence in real-time data processing, and designs a system architecture that integrates them. the architecture consists of four main modules: data acquisition, edge processing, intelligent analysis and feedback control, aiming to realize real-time data processing with low latency and high performance. Specifically, edge devices perform preliminary data screening and pre-processing by deploying lightweight artificial intelligence algorithms;then, the optimized deep learning model performs complex data analysis and prediction on the edge nodes;Finally, the processing results are fed back to the data source in time to achieve closed-loop control. Compared withthe traditional cloud computing model, the system combining edge computing and artificial intelligence shows significant advantages in terms of latency, bandwidth utilization and processing throughput.
Brushless Direct Current (BLDC) motors have gained significant popularity across diverse applications owing to their notable advantages such as high efficiency, reliability, and minimal maintenance requirements. this ...
详细信息
the proceedings contain 53 papers. the topics discussed include: research on signal attenuation by humidity and rain in 60ghz frequency band;assessment of machine translation in addressing communication barriers on th...
ISBN:
(纸本)9798350355673
the proceedings contain 53 papers. the topics discussed include: research on signal attenuation by humidity and rain in 60ghz frequency band;assessment of machine translation in addressing communication barriers on the perception of college students;theoretical and experimental studies of thz wireless communication signal transmitting through window glass;application of evolutionary computing for optimal design of base station antenna;improvement plan for cyber-security of DCS controlsystem of nuclear power plants;research on intelligent optimization system for data mining of communication networks;randomized-enhanced magnitude channel pruning for radar jamming detection;and design of human body motion detection system based on pyroelectric infrared sensor.
In the digital controlsystem for high-power three-phase PWM rectifier, the selection of PI control parameters is very hard because of the fast load change and dynamic response speed. therefore, a new control strategy...
详细信息
the proceedings contain 316 papers. the topics discussed include: early screening for Alzheimer’s disease based on OCT image classification;AUV 3D path planning based on improved sparrow search algorithm;a new offloa...
ISBN:
(纸本)9798350361445
the proceedings contain 316 papers. the topics discussed include: early screening for Alzheimer’s disease based on OCT image classification;AUV 3D path planning based on improved sparrow search algorithm;a new offloading method in cloud platforms: reducing latency based on data compression;optimization study of variable spray technology in dust removal systems;a filtering non-discriminative features method for person re-identification based on transformer;measurement of water content in oil-water two-phase system based on optimized EWT-FK algorithm;RRT-trained DDQN algorithm for pathfinding problem of automated guided vehicle;patient's emotion computing under robot vision;an estimation method for state of charge of lithium-ion batteries based on adaptive multi-innovation fractional order unscented Kalman filtering;apple detection and yield estimation based on YOLOv5;and optimization of multi-UUV cooperative detection formation based on particle swarm optimization.
there are many people who are physically disabled or paralyzed due to some accident, because of which they are unable to do their everyday activities such as watching shows, TV, and internet browsing. Even after being...
详细信息
the increasing prevalence of smart devices in homes has created a need for an intelligent system to manage these devices. However, traditional approaches are often expensive and require Wi-Fi-enabled devices. these sy...
详细信息
the goal of the IoT-based smart street light system is to conserve energy by decreasing manual labour requirements and electricity waste. the energy that is conserved can be put to a variety of uses, including domesti...
详细信息
Fault detection and localization in medium and low-voltage distribution networks are critical for ensuring the reliable operation of power systems. Traditional electrical measurement methods face challenges in accurat...
详细信息
ISBN:
(数字)9798350377033
ISBN:
(纸本)9798350377040;9798350377033
Fault detection and localization in medium and low-voltage distribution networks are critical for ensuring the reliable operation of power systems. Traditional electrical measurement methods face challenges in accurately detecting fault locations and types, especially in complex and noisy environments, which often results in delays in fault identification and resolution. this paper proposes a fault detection and localization approach based on fiber optic sensing technology, which offers high sensitivity, strong anti-interference capabilities, and the ability to monitor physical parameters such as vibration, temperature, and strain in real time. A monitoring system utilizing fiber optic sensors is designed, and signal processing techniques such as wavelet and Fourier transforms are employed to extract key fault features from the collected data. Furthermore, machine learning models, including Gradient Boosting Machine (GBM) and Support Vector Machine (SVM), are applied for fault classification and precise localization. Experimental results demonstrate the effectiveness of the proposed method in detecting and localizing faults under various operational conditions, providing a more efficient and reliable alternative to traditional methods. this approach offers a promising solution for the intelligent operation and maintenance of distribution networks and contributes to the development of advanced fault diagnosis and decision-making systems.
暂无评论