The effect of reflection is studied experimentally and theoretically on a high-power 110 GHz gyrotron operating in the TE mode in 3 s pulses at 96 kV, 40 A. The experimental setup allows variation of the reflected power from 0 to 33 % over a range of gyrotron operating conditions. The phase of the reflection is varied by translating the reflector along the axis. Operating at a higher efficiency point, at 4:40 T with 940 kW of output power, reflected power exceeding 11% causes a switch from operation in the TE to simultaneous operation in the TE and TE modes with a large decrease of the total gyrotron output power. This switching effect is in good agreement with simulations using the MAGY code. Operating at a more stable point, 4:44 T with 580 kW of output power, when the reflection is increased, the output power remains in the TE mode but it decreases monotonically with increasing reflection, dropping to 200 kW at 33% reflection. Furthermore, at a reflection above 22%, a power modulation at 25 to 30 MHz is observed, independent of the phase of the reflected wave. Such a modulated signal may be useful in spectroscopic and other applications.
Download full-text PDF |
Source |
---|---|
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8291730 | PMC |
http://dx.doi.org/10.1007/s10762-021-00769-8 | DOI Listing |
PLoS One
January 2025
Renewable Energy Science and Engineering Department, Faculty of Postgraduate Studies for Advanced Sciences (PSAS), Beni-Suef University, Beni-Suef, Egypt.
This study presents a comprehensive comparative analysis of Machine Learning (ML) and Deep Learning (DL) models for predicting Wind Turbine (WT) power output based on environmental variables such as temperature, humidity, wind speed, and wind direction. Along with Artificial Neural Network (ANN), Long Short-Term Memory (LSTM), Recurrent Neural Network (RNN), and Convolutional Neural Network (CNN), the following ML models were looked at: Linear Regression (LR), Support Vector Regressor (SVR), Random Forest (RF), Extra Trees (ET), Adaptive Boosting (AdaBoost), Categorical Boosting (CatBoost), Extreme Gradient Boosting (XGBoost), and Light Gradient Boosting Machine (LightGBM). Using a dataset of 40,000 observations, the models were assessed based on R-squared, Mean Absolute Error (MAE), and Root Mean Square Error (RMSE).
View Article and Find Full Text PDFSTAR Protoc
January 2025
Key Laboratory for Protein Sciences of Ministry of Education, School of Life Sciences, Tsinghua University, Beijing 100084, China; State Key Laboratory of Membrane Biology, School of Life Sciences, Tsinghua University, Beijing 100084, China; Tsinghua-Peking Joint Center for Life Sciences, Beijing 100084, China; Beijing Frontier Research Center for Biological Structure, Beijing 100084, China; School of Life Sciences, Tsinghua University, Beijing 100084, China. Electronic address:
Contrast transfer function (CTF) estimation is essential to the data processing workflow of cryo-electron tomography (cryoET). Here, we present a protocol for CTF estimation of the cryoET tilt series with CTFMeasure. CTFMeasure can estimate the CTF parameters together with the absolute tilt angle offset of the sample.
View Article and Find Full Text PDFJ Funct Morphol Kinesiol
January 2025
Office Physical Education, National Pingtung University of Science and Technology, Pingtung 912301, Taiwan.
: The effects of handlebar width on female cyclists are understudied; therefore, it is necessary to find an optimal handlebar width for women based on anatomical features. : Ten healthy women participants whose muscle activity and movements were measured using four kinds of handlebar widths were observed using EMG and 3D motion analysis systems. Participants cycled at a constant cadence and power output using different handlebar widths in a counterbalanced order.
View Article and Find Full Text PDFInt J Biol Macromol
January 2025
School of Safety Science and Emergency Management, Wuhan University of Technology, Wuhan 430070, People's Republic of China. Electronic address:
The widespread use of flammable building materials severely threatens residential safety. Additionally, traditional fire-alarm systems may fail in complex fire environments due to power disruptions. It is crucial to enhance the flame retardancy of material while establishing effective fire detection and early warning systems.
View Article and Find Full Text PDFRev Sci Instrum
January 2025
College of Electrical Engineering and Control Science, Nanjing Tech University, Nanjing 211816, Jiangsu, China.
Nanosecond pulse power has many driving advantages in the dielectric barrier discharge (DBD) application field, including better discharge effect, higher discharge efficiency, and lower electrode temperature. A high-voltage pulse voltage power supply (HV-PVPS) with a multi-turn ratio linear pulse transformer (PT) based on Marx circuit and PT topologies are suitable for most DBD plasma applications with fewer expansion modules, lower cost, smaller volume, and higher reliability comparing with the all-solid-state Marx nanosecond pulse power supply. However, during the process of DBD driven by an HV-PVPS based on Marx and PT topologies, the PT is prone to magnetic core saturation, which limits the application for DBD.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!