We explore the use of Cramér-Rao bound calculations for predicting fundamental limits on the accuracy with which target characteristics can be determined by using imaging sensors. In particular, estimation of satellite orientation from high-resolution sensors is examined. The analysis role that such bounds provide for sensor/experiment design, operation, and upgrade is discussed. Emphasis is placed on the importance of including all relevant target/sensor uncertainties in the analysis. Computer simulations are performed that illustrate that uncertainties in target features (e.g., shape, reflectance, and relative orientation) have a significant impact on the bounds and provide considerable insight as to how details of the three-dimensional target structure may influence the estimation process. The simulations also address the impact that a priori information has on the bounds.
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http://dx.doi.org/10.1364/josaa.20.000817 | DOI Listing |
Phytopathology
January 2025
Guizhou University, Key Laboratory of Green Pesticide and Agricultural Bioengineering, Ministry of Education, Huaxi District, Guiyang, Guizhou Province of China, Guiyang, China, 550025;
Gray mold is an important disease of crops and is widespread, harmful, difficult to control, and prone to developing fungicide resistance. Screening new fungicides is an important step in controlling this disease. Hydroxychloroquine is an anti-inflammatory and anti-malarial agent, which has shown marked inhibitory activity against many fungi in medicine.
View Article and Find Full Text PDFNano Lett
January 2025
State Key Laboratory of Infrared Physics, Shanghai Institute of Technical Physics, Chinese Academy of Sciences, 500 Yu Tian Road, Shanghai 200083, China.
Enhancing photoluminescence (PL) efficiency in colloidal quantum dots is pivotal for next-generation near-infrared photodetectors, imaging systems, and photonic devices. Conventional methods, especially metal-based plasmonic structures, suffer from large optical losses, which limits their practical use. Here, we introduce a quasi-bound state in the continuum (quasi-BIC) metasurface on a silicon-on-insulator platform, tailored to provide high-quality factor resonances with minimized losses.
View Article and Find Full Text PDFTight sandstone gas reservoirs are characterized by high water saturation, significant seepage resistance, low single-well productivity, rapid decline, and low gas recovery. Enhancing the recovery rate of tight sandstone gas reservoirs is a complex engineering challenge that necessitates thorough, refined, and systematic research into its fundamental theories. This study employs a comprehensive approach integrating mercury injection, nuclear magnetic resonance, micro-model visualization, and simulation experiments of displacement and inter-layer seepage flow, alongside foundational seepage theories, to systematically explore the characteristics of tight sandstone gas reservoirs, seepage patterns, and methods for improving gas recovery.
View Article and Find Full Text PDFJ Med Humanit
January 2025
Pratt Institute, Brooklyn, NY, USA.
The snub-nosed, reclining, and serene image of the fetus is commonplace in cultural representations and analyses of obstetric ultrasound. Yet following the provocation of various feminist scholars, taking the fetal sonogram as the automatic object of concern vis-à-vis ultrasound cedes ground to anti-abortionists, who deploy fetal images to argue that life begins at conception and that the unborn are rights bearing subjects who must be protected. How might feminists escape this analytical trap, where discussions of ultrasonics must always be engaged in the act of debunking? This article orients away from the problem of fetal representation by employing a method which may appear to be wildly unsuitable: media archaeology.
View Article and Find Full Text PDFISA Trans
January 2025
College of Control Science and Engineering, Bohai University, Jinzhou 121013, Liaoning, China. Electronic address:
This paper investigates the optimal fixed-time tracking control problem for a class of nonstrict-feedback large-scale nonlinear systems with prescribed performance. In the process of optimal control design, the new critic and actor neural network updating laws are proposed by adopting the fixed-time technique and the simplified reinforcement learning algorithm, which both guarantee the simplified optimal control algorithm and accelerate the convergence rate. Furthermore, the prescribed performance method is contemplated simultaneously, which ensures tracking errors can converge within the prescribed performance bounds in fixed time.
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