Steganography is a method for concealing messages in text, audio, images, and videos. This study outlines a text steganography method called Dictionary Based Text Steganography. This technique seeks for sentences to h...
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Two-dimensional van der Waals（2D vdW） semiconductors have proven to be of great importance for flexible thinfilm transistors（TFTs） owing to their intrinsic mechanical flexibility and superior electronic *** partic...
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Two-dimensional van der Waals（2D vdW） semiconductors have proven to be of great importance for flexible thinfilm transistors（TFTs） owing to their intrinsic mechanical flexibility and superior electronic *** particular,bismuth oxyselenide（Bi2O2Se）,featuring ultrahigh electron mobility along with facile scalable thin-film growth methods,could offer a new option to deliver massively enhanced potential for flexible ***,it has remained a challenge to achieve nonvolatile flexible memory devices based on Bi2O2Se TFTs,thereby hindering the extension of Bi2O2Se TFTs to storage and emerging neuromorphic computing ***,a flexible synaptic TFT is demonstrated through the creation of a Bi2O2Se-based ferroelectric field-effect transistor（FeFET） structure on the flexible mica *** proposed device exhibits excellent nonvolatile memory characteristics,including a large memory window,excellent current modulation ratio,great retention,and strong ***,the Bi2O2Se-based FeFET can be operated as a synaptic device with analog conductance-modulating *** to the superior mechanical flexibility of the component materials and the mica substrate,the Bi2O2Se-based FeFETs can retain their performance against various bending states,showing a straininvariant electrical *** study marks the advancement of Bi2O2Se-based TFTs toward flexible nonvolatile memories and synaptic devices.
The surge in network intrusions is a pressing concern for industry and government in cybersecurity. To counter this, network intrusion detection systems (NIDS) discern normal and abnormal network traffic effectively. ...
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The first crucial identity of human beings is through an individual's face in our evolving technical era. Biometrics has been explored and has given scope to a lot of recognitions technique. However the techniques...
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Modern city construction focuses on developing smart transportation, but the recognition of the large number of non-motorised vehicles in the city is still not sufficient. Compared to fixed recognition equipment, dron...
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ISBN:
(纸本)9798350385144
Modern city construction focuses on developing smart transportation, but the recognition of the large number of non-motorised vehicles in the city is still not sufficient. Compared to fixed recognition equipment, drones have advantages in image acquisition due to their flexibility and maneuverability. On the basis of dataset collected from aerial images taken by drones, this study designs a non-motorised vehicle recognition system that combines with YOLOv8 algorithm and Pyside6, providing data support to recognize non-motorised vehicles and promoting further research on non-motorised vehicle recognition. In order to enable neural networks to fit better network models, this article collected data and constructed a non-motorised vehicle dataset, enhanced the dataset based on the characteristics of images captured by drones, and then trained the model to obtain the best training weights, achieving a recognition accuracy of 99.5%. To design the recognition system, this study uses Pyside6 to complete interface design and functional implementation. Group box controls are used to place various functional modules, while horizontal sliders and precise selection modules are designed for confidence adjustment. Meanwhile, multi-Thread class is used to connect the signal to a specified slot function to achieve user interaction functionality. This function enables users to select files, models, and the degree of confidence so that users can directly know the number of non-motorised vehicles driving in the current image, providing data support for road management. In summary, this article constructed a non-motorised vehicle recognition system based on the YOLOv8 and Pyside6. This system has a high recognition accuracy of 99.5% for non-motorised vehicles, and users can monitor non-motorised vehicles driving in specific road sections through a simple and easy understand user interface, filling the gap of fixed monitoring equipment. It has practical application value in the recogniti
The growing need to support the well-being of elderly individuals has led to the development of a comprehensive Elderly Care system that leverages volunteer and caretaker involvement. To address the challenges faced b...
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The Industrial Internet of Things (IIoT) is the result of integrating the Internet of Things (IoT) into critical industries, especially in industrial and production settings. The industrial Internet of things (IoT) ha...
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This paper introduces a browser-based tool for modeling applications with Process Line Diagrams (PLDs)[1]. The tool aims at providing a modular and logical approach for building process architecture models to bridge t...
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In Supply Chain, the Blockchain technology is important in the transformation of the Bakery Industry. The Blockchain technology is instrumental in ensuring product authenticity, transparency, and product traceability....
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In recent decades, machine learning has its increased problem solving methodologies and applications in various fields of business, marketing, education and medical diagnostics. Among all the ML techniques, some have ...
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