Results 131 to 140 of about 8,951,924 (301)

Photonic based Radar: Characterization of 1x4 Mach-Zehnder Demultiplexer [PDF]

, 2012
This work is based on a research activity which aims to implement an optical transceiver for a photonic-assisted fully–digital radar system based on optic miniaturized optical devices both for the optical generation of the radiofrequency (RF) signal and ...
SHAHZAD, UMAR
core  

Human‐Guided Bayesian Optimization Enables High‐Throughput Laser Annealing of Mesoporous SiOx Anodes for Lithium‐Ion Batteries

Advanced Science, EarlyView.
An empirical‐aided active learning framework is developed to optimize high‐throughput laser‐induced photothermal annealing of silicon suboxide anodes. By integrating probabilistic machine learning with empirical domain knowledge, this approach achieves optimal electrochemical performance using limited experiments.
Chaeyoung Park, Yeongje Lee, Sunho Jeong, Eungkyu Lee   +3 more
wiley   +1 more source

The Use of Radar Reflectors to Validate Radar Performance Calculations [PDF]

Journal of Navigation, 1989
P. D. L. Williams, G. Bryant
openaire   +1 more source

Performance indicators modern surveillance radar

, 2014
Blake chart computations are widely employed to rank detection coverage capabilities of competitive search radar systems. Developed for comparable 2D radar systems with a mechanically rotating reflector antenna, it was not necessary to regard update rate
Nooij, P.N.C., Theil, A.
core  

Disrupting Helicobacter pylori Iron Homeostasis With Bismuth Nanodrug‐Mediated Nutritional Trap for Targeted Gastric Infection Therapy

Advanced Science, EarlyView.
A “nutritional trap” strategy centered on disrupting bacterial iron homeostasis is proposed. The synthesized Bi‐TP@FU (TBF) can target Helicobacter pylori, interfere with the bacterial iron uptake and utilization processes to disrupt its iron homeostasis, induce bacterial death, and meanwhile preserve the balance of the intestinal flora.
Tianye Fang, Jinzhe Tong, Feng Feng, Cong Liu, Chang Shu, Jiaying Zhu, Shibo Zhang, Shuyue Deng, Wanchao Zuo, Yuhan Song, Jun Yang, Yanmin Ju, Yingying Xing, Jianjun Dai   +13 more
wiley   +1 more source

Development of a networked photonic‐enabled staring radar testbed for urban surveillance

IET Radar, Sonar & Navigation
Urban surveillance of slow‐moving small targets such as drones and birds in low to medium airspace using radar presents significant challenges. Detecting, locating and identifying such low observable targets in strong clutter requires both innovation in ...
Mohammed Jahangir, Darren Griffiths, Daniel White, Gwynfor Donlan, Xiaofei Ren, Jithin Kannanthara, Yeshpal Singh, Joseph P. Wayman, Chris J. Baker, Jon P. Sadler, S. James Reynolds, Michail Antoniou   +11 more
doaj   +1 more source

A New Target Detection Algorithm and Its Performance Evaluation for Proposed 5G-NR-Based Novel ISAC System Design

IEEE Access
This study proposes existing base station (BS) infrastructure for radar target detection, enabling the detection of low-altitude and low-radar cross-section (RCS) targets without compromising communication performance.
Seyfettin Uluocak, Mesut Kartal
doaj   +1 more source

Analysing multibeam, cooperative, ground based radar in a bistatic configuration

, 2020
Recent advances in digital beam forming for phased arrays in combination with digital signal processing should enable the development of multibeam radar in a bistatic configuration.
Rossum, W.L. van, Cox, P.B.
core  

A Global Methane Observation System to Reduce Uncertainty for Anthropogenic and Natural Sources and Sinks for Detecting and Attributing Climate Feedbacks

Advanced Science, EarlyView.
Conceptual illustration of a Global Ecosystem Methane Observing System (GEM‐OS) integrating satellites, aircraft, atmospheric networks, and ecosystem measurements to quantify methane emissions from anthropogenic and natural sources. The multi‐scale observing framework improves source attribution, reduces uncertainty in regional methane budgets, and ...
P. Ciais, S. Peng, J. Chang, F. Li, Q. Zhu, K. Yuan, G. Hugelius, H. Li, Y. Cai, F. Chevallier, K. Tibrewal, E. A. Kort, K. Arndt, J. Watts, B. Buma, N. Besic, P. I. Palmer, H. Cadillo‐Quiroz, E. Euskirchen, M. J. Gondwe, A. Hoyt, R. Jackson, S. Malone, D. Monteverde, S. Natali, M. Ramonet, C. Rey‐Sanchez, L. B. Sagang, E. A. G. Schuur, R. Vargas, R. Varner, Z. Zhang, B. Poulter   +32 more
wiley   +1 more source

A Dual‐Modal Wearable PPG Smartwatch with AI‐Enhanced Correction for High‐Accuracy and Continuous AF Burden Assessment

Advanced Science, EarlyView.
ABSTRACT Atrial fibrillation (AF) increases the risk of stroke and heart failure, yet accurate quantification of AF burden in daily life remains difficult. Although smartwatch photoplethysmography (PPG) supports continuous monitoring, complex rhythms and signal noise can impair burden estimation.
Song Zuo, Jinglei Wang, Xin Wang, Han Feng, Yize Zhao, Fadong Li, Shaobin Wei, Le Zhou, Zixu Zhao, Songjie Chen, Xiangyi Kong, Jue Wang, Liu He, Shijun Xia, Xin Li, Junmeng Zhang, Xiaoxia Liu, Xueyuan Guo, Ning Zhou, Songnan Li, Chenxi Jiang, Ribo Tang, Caihua Sang, Deyong Long, Xin Du, Jianzeng Dong, Wenwu Zhu, Changsheng Ma   +27 more
wiley   +1 more source