Application of visual perception and recognition technology of intelligent inspection robots in Guanyinyan Hydropower Station

Published: Jan. 15, 2025

In order to ensure the safe operation of hydropower stations, a device state extraction and recognition method based on visual perception inspection robots is proposed. The experimental results show that proposed has lowest accuracy for buttons, switches, text, instrument readings, which are 97.2%, 96.8%, 97.7%, 94.7%, respectively. average 97.9%, 97.4%, 98.7%, 95.3%, respectively, higher than other algorithms. addition, area under working characteristic curve 0.97, algorithms, its recall completely envelops above indicate equipment can accurately identify status different equipment, providing strong support stations.

Language: Английский

---

A Case Study of Princess Sumaya University for Technology (PSUT) Engineering Students’ Perceptions of Utilizing Simulation Software via Online Learning

International Journal of Engineering Pedagogy (iJEP), Journal Year: 2024, Volume and Issue: 14(1), P. 96 - 111

Published: Jan. 30, 2024

The primary goal of this research has been to examine the perceptions related use simulation software in context e-learning at Engineering PSUT Jordan, which is acknowledged as one leading private universities country. present study and a descriptive utilized 25-item survey given 270 students. findings indicate that, according students’ subjective viewpoint, effectiveness online learning was observed be significantly high. This observation supported by an average score 3.89 standard deviation 0.959, indicating relatively consistent perception among participants. study’s results that there were no significant variations terms academic year, computer skills, student GPA or gender parameters. underscore importance incorporating higher educational institutions improve teaching experience.

Language: Английский

---

Watermark Hiding in HDR image based on Visual Saliency and Tucker decomposition

Karbala International Journal of Modern Science, Journal Year: 2023, Volume and Issue: 9(3)

Published: July 28, 2023

Recently, great attention has been paid to high dynamic range (HDR) images because of their richly detailed and intensity. The need for pre-processing the HDR image format with tone mapping (TM) operators makes it unique; TM are provided on display a low (LDR). On other hand, can be regarded as an inevitable attack when protecting ownership is considered. An adaptive approach concealing watermarks based visual saliency Tucker decomposition presented in this article. In first step, three feature maps were produced split into color components (RGB) using host image. Considering that out maps, one represents most significant part information image, was selected due its robustness terms watermark insertion. Afterward, created identify locations used securely embed data achieve balance between quality strength. salience map by decomposing specific LDR various intensity levels tone-mapping operator. Consequently, contrast (CF) model applied each decomposed image; then, integrated single map. Results experiments show proposed technique demonstrated superior performance compared extant algorithms watermarking resisting attacks while considering invisibility embedding capacity

Language: Английский

---

Integration of Time-Frequency Analysis and Regularization Technique for Improved Identification of Fetal Electrocardiogram

International Journal of Online and Biomedical Engineering (iJOE), Journal Year: 2023, Volume and Issue: 19(17), P. 170 - 177

Published: Dec. 15, 2023

This research article presents a novel methodology for effectively extracting the fetal electrocardiogram (FECG) from single-channel signal acquired on maternal abdomen. The comprises mixture of FECG, (MECG), and ambient noise. central concept involves projecting into higher-dimensional spaces leveraging assumption statistical independence among constituent components to achieve their separation mixture. To accomplish this, singular value decomposition (SVD) is initially applied spectrogram, followed by an iterative application independent component analysis (ICA) principal components. SVD technique contributes enhanced separability each individual component, while ICA facilitates promotion between ECGs. Furthermore, we refine customize aforementioned approach specifically ECG signals incorporating knowledge frequency distribution MECG other inherent characteristics. effectiveness proposed validated through comprehensive experimental studies, demonstrating its superior accuracy performance compared existing techniques.

Language: Английский

---