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2025 60th International Scientific Conference on Information, Communication and Energy Systems and Technologies (ICEST)Digital processing and subsequent picture identification are one of the scientific fields that is now experiencing rapid development. Currently, a lot of technology is focused on developing systems that use graphical images as information, including receiving, processing, storing, and transmitting information. Two primary areas of use for digital image
S Esakkirajan +2 more
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A Recognition Method for Multi-Radial-Distance Event of Φ-OTDR System Based on CNN
IEEE Access, 2021 This paper proposes a multi-radial-distance event classification method based on deep learning. To the best of our knowledge, this is the first time that the $\Phi $ -OTDR can tell how far the target event from the sensing fiber is through deep learning
Yi Shi +3 more
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Adaptive coverage control for multi-USV system in complex environment with unknown obstacles
International Journal of Distributed Sensor Networks, 2021 Aiming at the shortcomings of the existing control law based on the global information, this article studies the coverage problem of a given region in the plane using a team of USVs.
Yao Yao +6 more
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Frontiers in Energy Research, 2021 With the rapid development of renewable energy, the scale of China’s power grid with renewable energy has become much bigger than ever; as a result, we are facing severe challenges in the inspection and maintenance work of power grids that use renewable ...
Yao Yao +11 more
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Dynamic Phase Demodulation Algorithm for Phase-Sensitive OTDR With Direct Detection
IEEE Access, 2020 A dynamic phase demodulation algorithm for direct detection Φ-OTDR is proposed and experimentally demonstrated. It offers a way for single channel direct detection Φ-OTDR, which is the simplest and most cost-effective structure, to realize ...
Yi Shi +4 more
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Twofold dynamic attention guided deep network and noise-aware mechanism for image denoising
Journal of King Saud University: Computer and Information Sciences, 2023 Convolutional neural networks are given extensive attention towards noise removal due to their good performance over traditional denoising algorithms. With shallow conventional neural networks, the feature extraction ability is not profound.
Zihao Chen +5 more
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Research on Efficient Soft Switching Based on MPPT of PV Power Generation System
Frontiers in Energy Research, 2021 In this paper, basic soft-switching technology is proposed based on hard switching, and then the basic soft-switching technology is optimized, and an improved soft-switching technology is proposed to improve the conversion efficiency by reducing the ...
Peng Tao +5 more
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Auto Diagnostics of Lung Nodules Using Minimal Characteristics Extraction Technique
Diagnostics, 2016 Computer-aided detection (CAD) systems provide useful tools and an advantageous process to physicians aiming to detect lung nodules. This paper develops a method composed of four processes for lung nodule detection.
Diego M. Peña +2 more
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Towards Smart Home Automation Using IoT-Enabled Edge-Computing Paradigm
Sensors, 2021 Smart home applications are ubiquitous and have gained popularity due to the overwhelming use of Internet of Things (IoT)-based technology. The revolution in technologies has made homes more convenient, efficient, and even more secure.
Hikmat Yar +4 more
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LAND COVER CHANGE DETECTION USING SALIENCY ANDWAVELET TRANSFORMATION [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2016 How to obtain accurate difference map remains an open challenge in change detection. To tackle this problem, we propose a change detection method based on saliency detection and wavelet transformation. We do frequency-tuned saliency detection in initial
H. Zhang +4 more
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