Maize plays a fundamental role as a staple food for millions worldwide. However, the significant threat posed by various diseases to maize cultivation has led to substantial yield losses on a global scale. Early and a...
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Wireless sensor networks are comprised of countless sensor nodes which are the basic functional unit of a network. The nodes will be deployed in a physical environment. These networks serve in different classes like s...
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This paper presents the application of advanced speech recognition technologies to transcribe and analyze customer interactions, enhancing both business efficiency and customer experience. Motivated by the need for hu...
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Age-related macular degeneration is one of the leading causes of vision loss in individuals. This paper proposes a fundus image-based analysis and automatic grading of AMD using deep learning techniques. We utilize da...
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Accurate classification of cardiac activity using electrocardiogram (ECG) signals is crucial in preventing and treating many heart-related diseases. However, the complex and non-stationary nature of ECG signals poses ...
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ISBN:
(数字)9798350357509
ISBN:
(纸本)9798350357516
Accurate classification of cardiac activity using electrocardiogram (ECG) signals is crucial in preventing and treating many heart-related diseases. However, the complex and non-stationary nature of ECG signals poses challenges for traditional classification methods. This paper presents an effective approach that combines Continuous Wavelet Transform (CWT) for feature extraction with a Deep Neural Network (DNN) for classification. The CWT is used to transform one-dimensional ECG signals into two-dimensional time-frequency spectrograms, preserving both spectral and temporal characteristics. The proposed method utilizes CWT to transform raw ECG signals into time-frequency representation maps, preserving both spectral and temporal features. This transformation reduces the need for complex pre-processing while enhancing classification accuracy. The proposed method was evaluated on benchmark datasets, achieving superior performance compared to traditional techniques in terms of accuracy, precision, recall, and F1-score. The integration of CWT and DNN demonstrates its potential to enhance diagnostic accuracy in real-world applications, making it a promising tool for clinical use.
Several new spatial brightness evaluation methods have been proposed in recent years. Although these new methods provide us to evaluate spatial brightness which is difficult by measuring horizontal illuminance, there ...
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Communication involves the sharing or exchanging of information, ideas, and emotions, which requires a common language between individuals. For those with speech impairments, sign language serves as a means of communi...
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Fuel cell technology is rapidly gaining attention as a sustainable energy solution, utilizing hydrogen and oxygen to generate electricity, with heat and water as its only byproducts. Excess power from the grid can be ...
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ISBN:
(数字)9798350357509
ISBN:
(纸本)9798350357516
Fuel cell technology is rapidly gaining attention as a sustainable energy solution, utilizing hydrogen and oxygen to generate electricity, with heat and water as its only byproducts. Excess power from the grid can be employed by electrolyzers to produce hydrogen, which serves as the primary fuel for fuel cells. This research proposes a robust super-twisting double integral sliding mode controller (STDISMC) for regulating the output voltage of a DC-DC boost converter connected to a DC grid. The controller is designed using the mathematical model of the converter, ensuring robust and precise performance. A comprehensive dynamic model of a proton exchange membrane fuel cell (PEMFC) is used to simulate practical operating conditions and evaluate the system's behavior during its operation. Comparative simulations are conducted in MATLAB Simulink, evaluating the proposed STDISMC against a traditional nonlinear sliding mode controller. The results consistently demonstrate superior dynamic performance, improved robustness, and better voltage regulation by the proposed STDISMC. The findings highlight the controller's effectiveness in enhancing fuel cell-based energy systems, making it a promising solution for future renewable energy applications.
Ensuring reliable and secure operation of power distribution networks requires effective over-current protection, which involves correct coordination between the protective devices such as fuses, circuit breaker and r...
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ISBN:
(数字)9798350390179
ISBN:
(纸本)9798350390186
Ensuring reliable and secure operation of power distribution networks requires effective over-current protection, which involves correct coordination between the protective devices such as fuses, circuit breaker and relays. This paper examines the coordination between relay tripping and total clearing time of fuse operation, evaluating protective devices performance as primary and backup protection mechanisms at various fault location. The simulation model is designed using PSCAD/EMTDC software, with the IEEE-13 node test feeder system serving as the basis for analysis. The study focuses on the tripping times of relays and fuses operation during low impedance shunt faults, including single-line-to-ground (LG), double-line-to-ground (LLG), and three-line-to-ground (LLLG) faults. This analysis contributes to improving the design and implementation of protection strategies in modern distribution networks.
In the public-private management complex building, "high convenience"and "synergistic effect" between uses were highly evaluated by the building manager questionnaire. In addition, the inefficiency...
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