98%
921
2 minutes
20
Satellite Internet of Things (IoT) terminals face design constraints regarding low power consumption and light control. These constraints pose a significant collision risk when utilizing traditional random-access protocols, making it challenging to meet the system throughput requirements. Auxiliary beam schemes based on conventional beam formation suffer from the problem of the auxiliary beam shape being limited by the fixed directional map. This leads to the problem of limited throughput enhancement. In this paper, an auxiliary beam weight optimization method for satellite IoT capacity enhancement is proposed. By increasing the number of main flap roll-off bands, the success rate of collision signal separation is increased. It is possible to improve the system access performance. The simulation results indicate that the proposed method can significantly improve the system throughput performance. Furthermore, it can withstand some direction of arrival (DOA) estimation errors and amplitude-phase errors. Robustness is possessed.
Download full-text PDF |
Source |
---|---|
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC12115648 | PMC |
http://dx.doi.org/10.3390/s25103112 | DOI Listing |
Opt Express
February 2025
Coherent Doppler wind lidar (CDWL) has been widely used for wind detection, but retrieving aerosol optical properties remains challenging, due to its high sensitivity to turbulence and beam focusing. This study comprehensively evaluates the capabilities and limitations of pulsed CDWL in retrieving aerosol backscatter/extinction coefficient profiles, with a special focus on calibration and error analysis. A self-calibration method for the telescope focus function is proposed and validated through horizontal observations.
View Article and Find Full Text PDFInt Endod J
August 2025
Department of Restorative Dentistry, University of Sharjah, College of Dental Medicine, Sharjah, UAE.
Aim: This technical review and case report describes the Minimally Invasive Vertical Incision Subperiosteal Technique (MIVIST) for use in specific targeted endodontic surgical cases.
Summary: The proposed MIVIST technique includes a vertical incision along with auxiliary vertical release incisions to enhance soft tissue healing during targeted endodontic surgery for teeth with small periapical lesions. The technique is described in a case report where a patient presented with persistent periapical periodontitis associated with a previously root canal treated tooth (#15).
Sci Rep
July 2025
School of Mine Safety, North China Institute of Science and Technology, Langfang, 065201, China.
Mastering the deformation and air leakage patterns of gob-side retained roadway in fully mechanized mining faces, as well as the distribution characteristics of the gas flow field, is of great significance for the comprehensive prevention and control of gas in the goaf. Taking the 20,107 fully mechanized mining face of Qincheng Coal Mine in Shanxi Province as a case study, this paper employs fracture mechanics and plate-beam theory to analyze the impact of the roof fracture position on stress concentration and deformation failure of the roadway wall. It is found that when the fracture line is located outside the wall, the supporting stress can be effectively transferred and pressure can be relieved.
View Article and Find Full Text PDFJ Med Life
May 2025
Department of Orthodontics, Faculty of Dental Medicine, Medical University-Sofia, Sofia, Bulgaria.
This study evaluated the attitudes of dental professionals and patients regarding the use of artificial intelligence (AI) in dental practice. A survey was conducted among dentists, dental students, and patients to assess their trust in AI-generated diagnoses-whether partially or entirely AI-based-and in the direct involvement of AI in treatment. The collected data were statistically processed and analyzed.
View Article and Find Full Text PDFSci Rep
July 2025
College of Stomatology, Chongqing Medical University, Chongqing, 401147, China.
Orthodontically-induced external root resorption (OIERR) is among the most common risks in orthodontic treatment. Traditional OIERR diagnosis is limited by subjective judgement as well as cumbersome manual measurement. The research aims to develop an intelligent detection model for OIERR based on deep convolutional neural networks (CNNs) through cone-beam computed tomography (CBCT) images, thus providing auxiliary diagnosis support for orthodontists.
View Article and Find Full Text PDF