Railway interlocking systems can be implemented as distributed systems, where each part of a station is handled by a separate logical unit. The logical units of such systems form a network and communicate by interchan...
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The paper deals with the design and implementation of safety functions for a CNC milling machine. It is a relatively small CNC milling machine that does not pose a great danger to trained persons. Because it is used i...
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Remote sensing Change Detection(CD)involves identifying changing regions of interest in bi-temporal remote sensing *** technology has rapidly developed in recent years through the powerful learning ability of Convolut...
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Remote sensing Change Detection(CD)involves identifying changing regions of interest in bi-temporal remote sensing *** technology has rapidly developed in recent years through the powerful learning ability of Convolutional Neural Networks(CNN),affording complex feature ***,the local receptive fields in the CNN limit modeling long-range contextual relationships in semantic ***,this work explores the great potential of Siamese Transformers in CD tasks and proposes a general CD model entitled STCD that relies on Swin *** the encoding process,pure Transformers without CNN are used to model the long-range context of semantic tokens,reducing computational overhead and improving model efficiency compared to current *** the decoding process,the 3D convolution block obtains the changing features in the time series and generates the predicted change map in the deconvolution layer with axial *** experiments on three binary CD datasets and one semantic CD dataset demonstrate that the proposed STCD model outperforms several popular benchmark methods considering performance and the required *** the STCD variants,the F1-Score of the Base-STCDon the three binary CD datasets LEVIR,DSIFN,and SVCD reached 89.85%,54.72%,and 93.75%,respectively,and the mF1-Score and mloU on the semantic CD dataset SECOND were 75.60%and 66.19%.
Dear Editor, This letter concerns about the security problem of underwater cyber-physical system(UCPS) for depth-keeping task in the vertical plane. A dynamic parametric model of the UCPS with ocean currents and hydro...
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Dear Editor, This letter concerns about the security problem of underwater cyber-physical system(UCPS) for depth-keeping task in the vertical plane. A dynamic parametric model of the UCPS with ocean currents and hydrostatic is considered. With the intelligence of the controller, the objective function of a zero-sum game between the attacker and the controller is introduced. The attacker destroys the depth-keeping task of UCPS by injecting the designed false data into the system.
The Gannet Optimization Algorithm (GOA) and the Whale Optimization Algorithm (WOA) demonstrate strong performance;however, there remains room for improvement in convergence and practical applications. This study intro...
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The Gannet Optimization Algorithm (GOA) and the Whale Optimization Algorithm (WOA) demonstrate strong performance;however, there remains room for improvement in convergence and practical applications. This study introduces a hybrid optimization algorithm, named the adaptive inertia weight whale optimization algorithm and gannet optimization algorithm (AIWGOA), which addresses challenges in enhancing handwritten documents. The hybrid strategy integrates the strengths of both algorithms, significantly enhancing their capabilities, whereas the adaptive parameter strategy mitigates the need for manual parameter setting. By amalgamating the hybrid strategy and parameter-adaptive approach, the Gannet Optimization Algorithm was refined to yield the AIWGOA. Through a performance analysis of the CEC2013 benchmark, the AIWGOA demonstrates notable advantages across various metrics. Subsequently, an evaluation index was employed to assess the enhanced handwritten documents and images, affirming the superior practical application of the AIWGOA compared with other algorithms.
The explosive growth of information on the internet poses great challenges to users. In response to the above issues, this article studies the construction of an intelligent recommendation system for internet informat...
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With the continuous progress of text style transfer technology, its importance in natural language processing is becoming more and more prominent, especially in machine translation, literary creation and other fields ...
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Reliability in controlengineering remains a fundamental consideration in the design of controllers for various applications. This study proposes an innovative control design for Automatic Voltage Regulator (AVR) that...
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Reliability in controlengineering remains a fundamental consideration in the design of controllers for various applications. This study proposes an innovative control design for Automatic Voltage Regulator (AVR) that integrates Fuzzy Proportional-Integral-Derivative with Filter action (Fuzzy PIDF) enhancing PIDF controllers (PIDF + Fuzzy PIDF), which is tuned in a two-stage framework. This framework leverages Teaching-Learning-Based Optimization (TLBO) and Particle Swarm Optimization (PSO) algorithms to find the optimum values of the PIDF and Fuzzy-PIDF controllers’ gains, respectively. The dual-stage design ensures that the controller maintains functionality even if one stage experiences partial failure, thereby enhancing the reliability of both the controller and the system under control. The tuning process for both stages employs the well-known Integral Time Absolute Error (ITAE) cost function in conjunction with the TLBO and PSO algorithms. The reliability of the proposed controller is rigorously tested, demonstrating its ability to deliver robust performance even when operating partially. A comprehensive comparative analysis with existing techniques in the literature demonstrates the superior performance of the proposed PIDF plus Fuzzy PIDF controller. The results show significant improvements in transient response metrics: overshoot is reduced from 0.1559 pu to 0.0211 pu, undershoot from 0.0954 pu to 0.006 pu, and settling time from 0.7568 seconds to 0.2299 seconds. These advancements underscore the controller’s enhanced dynamic stability and precision compared to prior methodologies. Additionally, the robustness of the PIDF + Fuzzy-PIDF controller is evaluated under conditions of system uncertainty and varying load disturbances, with validation conducted in the MATLAB and Simulink environments. The results affirm the controller’s superiority, robustness, and reliability, establishing its potential for successful implementation in real-world applications. Thi
With the widespread access of various new energy power generation equipment and power electronic interface equipment, voltage sag seriously affects the normal work of all kinds of equipment in the distribution network...
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The article deals with the integration of Lo(ng) Ra(nge) Wide Area Network (LoRaWAN) sensors with generic manufacturing applications and Industrial Internet of Things (IIoT) use-cases. The focus is on creating a suita...
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