Results 91 to 100 of about 230,932 (286)

In‐Wheel Piezoelectric DC Power Generator With Zero Resistive Torque

Advanced Science, EarlyView.
In this paper, we present a wheel‐shaped direct‐current piezoelectric generator (DC‐PG) that fundamentally overcomes these constraints by producing phase‐stable DC electricity directly from rolling motion. By embedding this system into suitcase wheels, we demonstrated a fully integrated real‐time location tracking system powered solely by mechanical ...
Hyun Soo Kim, Hyunseok Song, In Woo Oh, Dong‐Gyu Lee, Tae Kyoung Yoon, Jeyeon Lee, Byoung Jin Yoon, So‐Min Song, Iman M. Imani, Seohyun Cho, Seong Jin Kim, Chong‐Yun Kang, Sahn Nahm, Yong Seok Park, Kyung‐Hoon Cho, Jungho Ryu, Jeong Min Baik, Jun Chen, Sunghoon Hur, Hyun‐Cheol Song   +19 more
wiley   +1 more source

On the equilibrium strategy of linear-quadratic time-inconsistent control problems

AIMS Mathematics
The paper investigates the open-loop equilibrium strategy for linear-quadratic time-inconsistent control problems. It derives an equilibrium maximum principle for this strategy and establishes the equivalence among the open-loop equilibrium strategy, two-
Wei Ji
doaj   +1 more source

High‐Order Nonlinear Photonic Crystal with Ordered Structures for Giant Enhancement of Frequency Tripling

Advanced Science, EarlyView.
A meta‐YAG crystal with artificially order/disorder structures was fabricated to realize the efficient third‐harmonic generation at 343 nm with a conversion efficiency of 4.5×10−3, surpassing six orders of magnitude compared to bulk YAG crystal. Moreover, a wide spectral tunability from 331 to 356 nm was also achieved in the meta‐YAG, indicating its ...
Xiaotian Guo, Qiaoling Han, Fei Liang, Bin Zhang, Dazhi Lu, Haohai Yu, Huaijin Zhang   +6 more
wiley   +1 more source

Fully Coupled Mean-Field Forward-Backward Stochastic Differential Equations and Stochastic Maximum Principle

Abstract and Applied Analysis, 2014
We discuss a new type of fully coupled forward-backward stochastic differential equations (FBSDEs) whose coefficients depend on the states of the solution processes as well as their expected values, and we call them fully coupled mean-field forward ...
Hui Min, Ying Peng, Yongli Qin
doaj   +1 more source

Conformal Reconfigurable Intelligent Surfaces: A Cylindrical Geometry Perspective

Advanced Electronic Materials, EarlyView.
Cylindrical reconfigurable intelligent surfaces are explored for low‐complexity beam steering using one‐bit meta‐atoms. A multi‐level modeling approach, including optimization‐based synthesis, demonstrates that even minimal hardware can support directive scattering.
Filippo Pepe, Ivan Iudice, Giuseppe Castaldi, Marco Di Renzo, Vincenzo Galdi   +4 more
wiley   +1 more source

2023–2027 CAP First Pillar Reform and Livestock Sector: Production and Economic Impacts on Italian Specialized Dairy Cattle Farms

Applied Economic Perspectives and Policy, EarlyView.
ABSTRACT The present study uses an agroeconomic supply model to assess the impacts of 2023–2027 CAP on Italian specialized dairy cattle farms. The model considers the voluntary choice of Eco‐Scheme 1, specifically addressed to livestock farms, through the implementation of binary variables.
Davide Dell'Unto, Raffaele Cortignani
wiley   +1 more source

Nonlinear differential equations of Riccati type on ordered Banach spaces

Electronic Journal of Qualitative Theory of Differential Equations, 2012
In this paper we consider a general class of time-varying nonlinear differential equations on infinite dimensional ordered Banach spaces, which includes as special cases many known differential Riccati equations of optimal control.
V. M. Ungureanu, V. Dragan
doaj   +1 more source

Exploring Quantum Support Vector Regression for Predicting Hydrogen Storage Capacity of Nanoporous Materials

Advanced Intelligent Discovery, EarlyView.
In this study we employed support vector regressor and quantum support vector regressor to predict the hydrogen storage capacity of metal–organic frameworks using structural and physicochemical descriptors. This study presents a comparative analysis of classical support vector regression (SVR) and quantum support vector regression (QSVR) in predicting ...
Chandra Chowdhury
wiley   +1 more source

Accelerating Surface Composition Characterization of Thin‐Film Materials Libraries Using Multi‐Output Gaussian Process Regression

Advanced Intelligent Discovery, EarlyView.
To integrate surface analysis into materials discovery workflows, Gaussian process regression is used to accurately predict surface compositions from rapidly acquired volume composition data (obtained by energy‐dispersive X‐ray spectroscopy), drastically reducing the number of required surface measurements on thin‐film materials libraries.
Felix Thelen, Florian Lourens, Alfred Ludwig   +2 more
wiley   +1 more source

Parametric Regularization of the Functional in a Linear-quadratic Optimal Control Problem

Известия Иркутского государственного университета: Серия "Математика"
A linear-quadratic optimal control problem with parameters and arbitrary matrices in the quadratic cost functional is considered on the set of stepwise control functions. As a quality criterion of the admissible set of parameters it is proposed to choose
V.A. Srochko, A. V. Arguchintsev
doaj   +1 more source