This paper presents a novel approach for the online calculation of Linear Quadratic Regulator (LQR) gains using the Tabular Dyna-Q algorithm. By leveraging Q-learning, this technique enables the determination of gains...
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The escalating challenges faced by the agricultural industry, characterized by labor shortages, and rising costs, underscore the imperative for innovative solutions. This study explores the transformative potential of...
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Voice interaction has rapidly become the preferred option for human-machine interactions, especially for domotics and wearable applications. In such contexts, the availability of accurate, yet resource-efficient keywo...
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Aiming at the problem that back propagation(BP)neural network is easy to fall into local extremum,based on the short-term prediction of photovoltaic output power using the BP neural network,this paper studies the infl...
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ISBN:
(数字)9789887581536
ISBN:
(纸本)9781665482561
Aiming at the problem that back propagation(BP)neural network is easy to fall into local extremum,based on the short-term prediction of photovoltaic output power using the BP neural network,this paper studies the influence of genetic algorithm(GA) and particle swarm optimization(PSO) algorithm respectively to optimize the structure of the BP neural network on the prediction accuracy of photovoltaic output *** effectiveness of the proposed method is verified by the simulation of the actual operation data of a photovoltaic power *** simulation results show that different optimization algorithms have a significant impact on the prediction accuracy of photovoltaic output power.
Smart Healthy Schools (SHS) are a new paradigm in building engineering and infection risk control in school buildings where the disciplines of Indoor Air Quality (IAQ), IoT (Internet of Things) and Artificial Intellig...
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This paper proposes a method that uses satellite data to improve adaptive sampling missions. We find and track algal bloom fronts using an autonomous underwater vehicle (AUV) equipped with a sensor that measures the c...
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This paper presents an algorithmic approach for segmenting news broadcasts produced by television stations. The proposed approach uses advanced signal processing techniques to extract and classify audio segments from ...
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ISBN:
(数字)9798350364293
ISBN:
(纸本)9798350364309
This paper presents an algorithmic approach for segmenting news broadcasts produced by television stations. The proposed approach uses advanced signal processing techniques to extract and classify audio segments from Romanian TV news broadcasts. By using derivative of 1-dimensional Gaussian filter and binary classification models, this paper aims to automatically identify and classify news segments into categories such as studio news, field news, commercials and music breaks. The primary objective of this paper is to develop a segmentation methodology optimized for reduced computational memory and quick processing. By leveraging efficient computational techniques, the news segmentation can be performed in a timely manner without compromising accuracy. This optimization is crucial for real-time or near-real-time applications within TV networks, facilitating tasks such as content monitoring and analysis.
Image degradation due to fog and haze is a common problem in the field of life and image research. This article will be designed and implemented of image haze removal algorithm. The traditional methods have some probl...
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This paper presents a blockchain-based platform for managing and issuing academic certificates that features security, transparency, non-repudiation and traceability. Relying on the security provided by Ethereum block...
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ISBN:
(数字)9798350364293
ISBN:
(纸本)9798350364309
This paper presents a blockchain-based platform for managing and issuing academic certificates that features security, transparency, non-repudiation and traceability. Relying on the security provided by Ethereum blockchain and using asymmetrical cryptography in certificate generation, combined with certificate revocation mechanisms, the proposed platform offers a reliable, decentralized and secure solution that can be used by academic institutions to streamline the management of academic certificates and reduce bureaucracy.
Traditional Public Key Infrastructures (PKIs) seem not adequate for some Internet of Things (IoT) environments asking for fast, flexible, and secure solutions. Alternatively, IoT devices could generate asymmetric key ...
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