To increase the resistance of register files to soft errors, this paper presents ParShield architecture. is based on two observations: (i) data in a only useful for small fraction register's lifetime, and (ii) not all registers are equally vulnerable. selectively protects by generating, storing, checking ECCs most vulnerable while they contain data. In addition, it stores parity bit registers, re-using ECC circuitry generation checking. has no SDC AVF average DUE 0.040 0.010 integer...

ABSTRACT We present a single longitudinal mode Ho:YLF MOPA laser operating at 2050.7 nm by utilizing the Fabry–Perot etalon method to construct compact SLM seed and employing Tm‐doped fiber as amplifier. With an output power of 336 mW generated laser, maximum 13.1 W for was recorded pump 88.7 W. A peak slope efficiency 26.9% achieved when exceeded 58.7 To our knowledge, this is first report amplify operation laser.

The use of bound states in the continuum (BICs) has emerged as an effective tool to trap light at nanoscale and many potential applications photonics. Breaking structural symmetry is regarded way excite quasi-BICs (QBICs) generate high-Q resonances. However, this approach may impact resonance polarization sensitivity, consequently limiting its practicality multi-wavelength polarization-dependent applications. Furthermore, introduction different types perturbations into design form BICs yet...

The new digital landscape is influencing and challenging conventional delivery modes in education. Mixed Reality (MR), one of the newest technologies explored edutainment, promises potential to revolutionise learning teaching, making learners' experience more "engaging". In this paper, we will introduce a MR classroom developed for local primary school Singapore. Currently, two modules on Solar System Plant had been our classroom, providing support teaching self-learning. This novel,...

With the development of distributed generation technology, problem (DG) planning become one important subjects. This paper proposes an Improved non-dominated sorting genetic algorithm-II (INSGA-II) for solving optimal siting and sizing DG units. Firstly, multi-objective optimization model is established by considering energy-saving benefit, line loss, voltage deviation values. In addition, relay protection constraints are introduced on basis node voltage, branch current, capacity...

It is important to locate the fault distance and identify types quickly, take effective measures maintain line stability, minimize losses timely when there are short-circuit faults in transmission lines. For this purpose, a method based on deep learning proposed for identification line. According similarity of samples reconstruction phase, minimum neighborhood sample set selected from massive firstly, then, trained using back propagation algorithm along time recurrent neural network (RNN)...

Improving the ability to detect small leaks prevent more severe accidents plays an extremely important role in safe operation of pipelines. To tackle issue low diagnostic accuracy associated with single sensors for detecting leaks, a multisource multimodal feature fusion method gas pipeline leak detection was proposed. First, collected data from multiple were transformed into 2-D time-frequency images input extraction network. Then, dual-information (DIF) module introduced, incorporating...

We propose an effective virtual view synthesis approach, which utilizes the technology of depth-image-based rendering (DIBR). In our scheme, two reference color images and their associated depth maps are used to generate arbitrary viewpoint. Firstly, main auxiliary viewpoint warped After that, cracks error points removed enhance image quality. Then, we complement disocclusions from with help order reduce incontinuity view, brightness adjusted. Finally, holes filled by depth-assistance...

This paper proposes a probability model and efficient scheme to extract buildings object from high-resolution panchromatic image in dense urban area. The overall idea of this work is segment the into regions, treat all extracted regions' contours as candidates, make use specific select 'true' buildings. Discriminative features that characterize are proposed. Application performed on Quickbird images over Beijing city.

Spectrum sensing is an essential functionality of cognitive radio networks (CRN). Among existing spectrum methods, cooperative the best one which can achieve superior performance by introducing spatial diversity data sources. Such cooperation also introduces additional information exchanging leads to extra power consumption and reporting delay. In this paper, optimal problem formulated as a nonlinear binary integer programming find suitable nodes minimizing average detection Bayesian risk....

Due to the huge destructive power of strong earthquakes, many breaks appear on water pipelines after such events. As a result, leaks from these breaks, causing function loss distribution networks (WDNs). In order evaluate seismic performance WDNs, cannot be ignored. this paper, by adding leakage model hydraulic equation WDNs in daily operation state, new is established describe occurrence earthquakes. it stochastic equation, random perturbation method used solve and give mean, standard...

Abbe's resolution limit, one of the best-known physical limitations, poses a great challenge for any wave system in imaging, transport, and dynamics. Originally formulated linear optics, Abbe limit can be broken using nonlinear optical interactions. We extend theory into regime experimentally demonstrate far-field, label-free, scan-free super-resolution imaging technique based on four-wave mixing to retrieve near-field scattered evanescent waves, achieving sub-wavelength λ / 5.6. This method...

Abstract Rapid and accurate estimation of the state health lithium-ion batteries is great significance. This paper aims to address two issues faced when applying deep learning methods estimate status batteries: high data quality requirements poor model generalizability. proposes a comparison-transfer approach with cyclic synchronization batteries. First, method based on Bezier curve fitting algorithm introduced synchronize obtained at different charge–discharge cycles battery, facilitating...

This study presents a novel sensor that combines air pressure and temperature measurement using dual-interference microfiber resonators. The leverages intermode interference the resonant ring resonance effects within loop structure, enabling simultaneous demodulation of pressure. We have developed mathematical model is closely monitored alongside reflectance spectral structure. exhibits two distinct linear sensitivities for different temperature, as revealed by our testing results....

Optical camera communication (OCC) shows promise for optical wireless (OWC) in vehicular networks. However, vehicle mobility-induced angular distortions hinder system throughput by degrading non-isotropic OCC channel gain. Few of the prior works have ever made a comprehensive analysis their impact, especially based on pixel value which reflects imaging features. To address this knowledge gap, value-described model accounting transmitter location and intensity from geometry radiometry aspects...