Weed detection is crucial for the healthy growth of crops, yet existing detection models struggle to perform high-accuracy real-time detection of weeds in natural environments on edge computing devices. This paper int...
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ISBN:
(数字)9781665410205
ISBN:
(纸本)9781665410212
Weed detection is crucial for the healthy growth of crops, yet existing detection models struggle to perform high-accuracy real-time detection of weeds in natural environments on edge computing devices. This paper introduces EMPA-YOLO, a model designed for rapid, accurate, real-time weed detection on low-performance edge computing devices. It incorporates an efficient multi-scale convolutional structure, C3EMSC, and a lightweight, adaptive weight subsampling layer, LAWDS, into YOLOv5s. Additionally, a logical distillation algorithm, AlignSoftTarget, is proposed for knowledge distillation. Validation on a mixed dataset of crops and weeds showed that EMPA-YOLO improved mAP50 by 11.2%, reduced parameter count by 4.8M, decreased computational load by 8.7GFLOPs, and increased inference frame rate by 58% compared to the original YOLOv5s algorithm. When compared to YOLOv3, YOLOv5s, YOLOv6, YOLOv8s, and RT-DETR, inference speed improved by 89.2%, 60.8%, 77.5%, 76.5%, and 94.7%, respectively, with mean accuracy enhancements of 7.3%, 11.2%, 16.7%, 0.9%, and 1.2%. Real-world testing on edge computing devices met real-time detection requirements, proving its efficacy and practicality in weed detection.
Once the fault occurs in the industrial processes, the fault maybe always compound faults which take place in different locations, forms, and degrees. How to diagnose the multiple faults with coupling and propagation ...
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Once the fault occurs in the industrial processes, the fault maybe always compound faults which take place in different locations, forms, and degrees. How to diagnose the multiple faults with coupling and propagation characteristics, enhance the reliability of the system, and ensure the reliable operation of industrial processes is very important. In this paper, a survey on mechanism and manifestation of symptoms for compound faults is given. Meanwhile, difficulties and research status of compound fault diagnosis methods, especially the few-shot learning-based methods are analyzed and discussed. Moreover, the advantages, disadvantages, and research directions are mentioned.
This paper finds the most expressive segments of a shape category called similar and discriminative parts, which can distinguish the learned shape class from other groups. The proposed model chooses a computationally ...
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The human genome contains around 20,000 protein-coding genes and a vast of transcriptional regulatory elements(ENCODE Project Consortium,2012;Roadmap Epigenomics Consortium et al.,2015;Stunnenberg and Hirst,2016).It s...
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The human genome contains around 20,000 protein-coding genes and a vast of transcriptional regulatory elements(ENCODE Project Consortium,2012;Roadmap Epigenomics Consortium et al.,2015;Stunnenberg and Hirst,2016).It still remains elusive how these regulatory elements regulate their target genes across genomic distances of millions of bases.
Visible-thermal Person Re-identification (VT Re-ID) is a challenging task in all-weather surveillance system. Existing methods focus on extracting the modality-shared features, ignoring the discriminative inter-modali...
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Environmental issues have become an important challenge for human development, the application of renewable energy will greatly alleviate this problem. The introduction of renewable energy into the existing power grid...
Environmental issues have become an important challenge for human development, the application of renewable energy will greatly alleviate this problem. The introduction of renewable energy into the existing power grid will has many impacts such as energy distribution, communications and security issues, it is bound to intelligently upgrade the existing power grid. By querying relevant literature, this study summarizes and reviews the current research on smart grids from the above perspectives. At the same time, from the perspective of two emerging technologies, Internet of Things (IoT) and artificial intelligence, the application of smart grid to two emerging technologies is summarized. Finally, the possible development directions of smart grid are discussed and summarized.
The reconfigurable manufacturing system is a cost-effective system that can accommodate a variety of equipments required by customers. However, because of the surprisingly increasing volume and semantically fuzzy natu...
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Text classification is a crucial and fundamental task in natural language processing. Compared with the previous learning paradigm of pre-training and fine-tuning by cross entropy loss, the recently proposed supervise...
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The goal of aspect-based multimodal sentiment analysis (ABMSA) is to classify the sentiment associated with aspect words in a given context. Most current ABMSA models focus only on general inter-modal information inte...
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In this paper, we realize Shamir's no-key protocol via quantum computation of Boolean functions and a private quantum channel. The proposed quantum no-key protocol has three rounds and provides mutual data origin ...
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In this paper, we realize Shamir's no-key protocol via quantum computation of Boolean functions and a private quantum channel. The proposed quantum no-key protocol has three rounds and provides mutual data origin authentication. Random Boolean functions are used to create entanglement and guarantee that any adversary without keys cannot pass the authentication. Thus, our protocol can resist the manin-the-middle attack. A security analysis has shown that pieces of ciphertexts of the three rounds are completely mixed state. This property ensures no adversary can get any information about the sent message or authentication keys. Therefore, our protocol is unconditionally secure and its authentication keys can be reused.
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