The proceedings contain 122 papers. The topics discussed include: DFrFT-ES model for emotion recognition based on fractional Fourier transform of EEG signals;research on traffic sign recognition under complex meteorol...
ISBN:
(纸本)9781510687615
The proceedings contain 122 papers. The topics discussed include: DFrFT-ES model for emotion recognition based on fractional Fourier transform of EEG signals;research on traffic sign recognition under complex meteorological conditions;diffusion-augmented learning for long-tail recognition;apple leaf scab recognition using CNN and transfer learning;container image management in cloud-edge environments: an image deletion method based on layer affinity;computer graphics and image processing techniques based on visual communication design;dynamic fusion and non-negative matrix factorization-based multi-view clustering method;convolutional recurrent neural network-based EEG signal classification in motor imagery;and sentiment classification of MOOC courses by merging local context focus and bi-directional gated recurrent unit.
Calculating spatial relationships between objects in three dimensions is crucial for applications in the field of self-driving automobiles, robotics, computer vision, space terrain mapping and virtual reality. Advance...
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Electron beam processing usually needs to be carried out in a vacuum environment. The influence of high temperature and high concentration of metal vapor makes it difficult for traditional machine vision observation s...
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Pig inventory is an important task in intensive asset management of pig farms. Accurate quantity can realize precise feeding, help reduce farming cost and improve farming efficiency. The realization of pig inventory t...
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ISBN:
(纸本)9798350375770;9798350375763
Pig inventory is an important task in intensive asset management of pig farms. Accurate quantity can realize precise feeding, help reduce farming cost and improve farming efficiency. The realization of pig inventory through computer vision algorithms has become the main development trend of intelligent pig inventory methods [1]. At present, pig inventory mostly adopts manual inventory, which is costly, inefficient and prone to errors. Some of the existing large pig farms use camera-based pig inventory, but they are based on fixed cameras, and cannot complete the inventory of the entire pig farm. Meanwhile, sometimes pigs will jump out of the pen and can't eat, which is very dangerous especially for piglets. Design a track inspection robot carrying a camera to complete the inspection of pig farms, according to the pen information on the pig data collection, this project collected 2000 valid pictures to form a dataset, through the YOLOv5 target detection algorithm to train it, learn a training model, in order to improve the accuracy of inventory, enhancement processing of the photos, through the deep learning model training to obtain the optimal model and deployed, and finally Data correction is performed by Kalman filtering method to improve the inventory accuracy, and this project is carried out on-site experiments in pig farms of Zhengzhou Xinrong Agricultural and Animal Husbandry Information Co. The experimental results show that the overall accuracy of pig inventory is 95.6%. Compared with manual inventory, this method has low cost and good application prospect. When pigs are found in the channel or non-pen labeling, it is an abnormal situation, and the relevant personnel will be notified in time to deal with it, so as to ensure the safety of farming.
The proceedings contain 79 papers. The topics discussed include: symbol sequence recognition using Viterbi algorithm and probability approximation table;RNN-based method for classifying natural human emotional states ...
ISBN:
(纸本)9798350337235
The proceedings contain 79 papers. The topics discussed include: symbol sequence recognition using Viterbi algorithm and probability approximation table;RNN-based method for classifying natural human emotional states from speech;combining computer vision and word processing to classify film genres;piecewise constant signal nonlinear filtering based on local center/surround shrinkage;analysis of characteristics of high-frequency path with parallel connections;implementation of time scales comparison over a fiber-optic line using DPN signals;algorithms for calculating the position of the pupil in tasks of the optical-oculographic interface;spatial suppression of interference complex using phase adaptation algorithms;and multichannel acoustic echo canceller based on fast affine projection algorithm.
Object re-identification (ReID) is prone to errors under variations in scale, illumination, complex background, and object occlusion scenarios. To overcome these challenges, attention mechanisms are employed to focus ...
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In this paper, a novel active noise reduction algorithm SFxNLMS (sigmoid filtered-x normalized least mean square) is proposed, which aims to solve the problem of slow convergence of the traditional FxLMS (filtered-x l...
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Coronavirus disease, more famously known as COVID-19, was first discovered in Wuhan, China;it was declared a global pandemic by WHO in March 2020. Due to the threatening characteristics of the virus, certain precautio...
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ISBN:
(纸本)9781665485296
Coronavirus disease, more famously known as COVID-19, was first discovered in Wuhan, China;it was declared a global pandemic by WHO in March 2020. Due to the threatening characteristics of the virus, certain precautions had to be imposed by the government and health authorities to put the situation under control. To mitigate the further transmission of the virus, the "New Normal" was introduced to the public. This is by practicing the minimum safety protocols: wearing a facemask, frequently washing hands, and observing physical distancing. This study aims to build an autonomous robot that can monitor physical distancing, specifically focusing on people's queues. The robot utilizes the YOLOV4 Algorithm to detect the individuals and determine their Euclidean distance to determine if these people are observing the distance safety protocol that is 1.5 meters apart. The robot also includes a voice alarm that apprehends violators and reminds them to follow the practice. Moreover, the robot has an additional feature of detecting the body temperature of the people detected by the program. In assessing the robot's program, the implemented object detection achieved an accuracy of 93%, a precision of 87.5%, an error rate of 7%, and a recall of 94.6%. Moreover, by determining the constraint distance of the robot, which is 3.5 meters, the physical distancing program obtained a percent error of 4.26%.
The proceedings contain 51 papers. The topics discussed include: design and implementation of vehicle collaborative control system under intelligent connected environment for new energy vehicles;research on image sign...
ISBN:
(纸本)9798331542696
The proceedings contain 51 papers. The topics discussed include: design and implementation of vehicle collaborative control system under intelligent connected environment for new energy vehicles;research on image signal enhancement and denoising algorithms for intelligent communication systems;optimizing unmanned vessel vision systems for biological outbreak prediction in nuclear power plant waters using machine learning;research on collaborative optimization model of complex system reliability and system availability;optimization of aircraft trajectory design based on intelligent learning methods;research on the construction of robot target recognition systems driven by deep learning algorithms and the optimization of intelligent localization technology performance;research on software defect detection model based on neural network;and research on adaptive optimization model of software system based on reinforcement learning.
Emotion recognition via electroencephalography (EEG) has emerged as a pivotal domain in biomedical signalprocessing, offering valuable insights into affective states. This paper presents a novel approach utilizing a ...
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