Abstract Illumination estimation is an essential problem in computer vision, graphics and augmented reality. In this paper, we propose a learning based method to recover low‐frequency scene illumination represented as spherical harmonic (SH) functions by pairwise photos from rear front cameras on mobile devices. An end‐to‐end deep convolutional neural network (CNN) structure designed process images symmetric views predict SH coefficients. We introduce novel Render Loss improve the rendering...

O-ring seals are critical components in hydraulic steering gears, where their failure can significantly compromise the reliability and performance of entire system. To investigate seal's fault mechanism characteristics main control valve gear, influencing factors leakage for seal discussed. Firstly, model is developed, demonstrating effects compression rate, oil pressure, cross-sectional diameter, fit clearance on leakage. Secondly, modeled simulated using finite element method under ideal...

This paper presents a reliability analysis method on repairable system with standby structure based goal oriented (GO) methodology. Firstly, new combination of GO operator, which is composed logical operator named Type 18A and auxiliary 20 created to represent mode. The availability formula equipment translation exception deduced Markov process theory. Then, the application for mode are proposed. Thirdly, this applied in hydraulic oil supply power‐shift steering transmission. Finally,...

NaI:Tl,6Li single crystals, due to low use cost and an efficient gamma ray ( <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$\gamma$ </tex-math></inline-formula> ) neutron notation="LaTeX">$n$ detection capability, have been regarded as promising notation="LaTeX">$n/\gamma $ scintillators. In this work, crystals co-doped with different Ca notation="LaTeX">$^{2+}$ Sr concentrations were grown by the...

Summary The dynamic ranking, due to its increasing importance in many applications, is becoming crucial, especially with the collection of voluminous time‐dependent data. One such application sports statistics, where ranking aids forecasting performance competitive teams, drawing on historical and current Despite usefulness, predicting inferring rankings pose challenges environments necessitating modelling. This paper introduces a spectral ranker called Kernel Rank Centrality, designed rank...

In engineering practice, degradation analysis often suffers from the small-sample problem. To this end, several generative models are developed to expand data, based on which both original data and synthetic used train neural networks for prediction. However, these methods rarely compared with each other, performances of competitive candidates not explored. Given this, paper reviews some machine learning-based performs a comparison among them. Particularly, segmented sampling method is...

Abstract This paper proposes a new systematic reliability analysis method for repairable systems with multifunction modes based on the goal‐oriented (GO) method. First, we create function GO operator, logical and auxiliary deduce their operation formulas, propose some rules of an exact algorithm shared signal such systems. Then, formulate process Finally, apply this methodology to control system heavy vehicle. To verify feasibility, advantage, reasonableness methodology, compare its results...

This paper provides a new goal-oriented (GO) method for reliability analysis of repairable systems with multiple fault modes. First, formulas operators describing components modes are derived based on Markov process theory. Second, qualitative such system is conducted by combining the existing GO Fussell–Vesely method. Third, this applied in hydraulic transmission oil supply system. Finally, comparing study results tree (FTA) and Monte Carlo simulation shows that suitable

GO methodology is a success-oriented method for system reliability analysis. There are Multiple-Input, which contain control signal, oil provided and electrical signal et.al MultiFunction Components (MIMFC) in some repairable systems, such as double-action variable displacement pump, multiple directional valve, hydraulic coupler etc. Because existing 17 basic operators can’t describe these MIMFCs accurately, it problem to adopt conduct the analysis systems with MIMFC. In this paper, firstly...

This paper presents a new approach for the reliability analysis of vehicle systems by considering typical characteristics based on goal-oriented methodology. First, solutions are proposed with multiple fault modes, standby structure at any position, multiple-input closed-loop feedback link, functions, and conditions method. Then, two-level model rules operation such proposed. Furthermore, quantitative method qualitative improved. In addition, process these is formulated. Finally, this...

GO methodology is a success-oriented method for system reliability analysis. There Dual Input Closed-Loop Feedback Link (DICLFL) considering shutdown correlation in many repairable systems. It problem to use the existing make analysis of such A new operator, named type 9C created describe DICLFL correlation, whose number 1 this paper. And its steady state probability quantification formulas are derived based on Markov process theory. Then adopted conduct hydraulic steering Power-Shift...

This paper proposes a new goal-oriented (GO) method for reliability analysis of repairable systems with multiple-input and multi-function component (MIMFC). First, GO operator combination, which is composed function auxiliary operator, created to represent MIMFC. The named as Type 22 MIMFC itself, the 15B multi-condition control signals Then, operation formulas combination are deduced based on logical relationships among inputs, outputs, itself. process formulated. Furthermore, this applied...

Solar neutron events provide important opportunities to explore particle acceleration mechanisms using data from ground-based detectors and spacecrafts. Energetic neutrons carry crucial physics information of the site, such as energy spectrum, atmospheric elements solar flare, scale height, convergence magnetic field magnetohydrodynamic turbulence. Here 12 representative observed on Earth, together with X γ-ray observations spacecrafts are presented. Theoretical approaches that carried out...

This paper proposes a new reliability optimization allocation for multifunction systems with multistate units based on goal-oriented (GO) methodology. First, this method is expounded in terms of establishing GO model, and solving algorithm. Then its process formulated. Finally, the applied power-shift steering transmission (PSST), whose goal to minimize system cost. The results analysis shows that costs different operation times turn relatively stable value, allocated indices unit are...

To deal with maintenance correlation of parallel structure same elements in repairable system, a new method that is equivalent to one element and then its reliability parameters are calculated presented. GO firstly used steady-state availability analysis qualitative for Hydraulic Transmission Oil Supply System (HTOSS) Power-shift Steering under two conditions low-speed high-speed. success probability respectively by direct algorithm, approximate algorithm accurate shared signals. All system...

Redundant techniques are widely adopted in vehicle management computer (VMC) to ensure that VMC has high reliability and safety. At the same time, it makes have special characteristics, e.g., failure correlation, event simultaneity, self-recovery. Accordingly, safety analysis redundant system (RVMCS) becomes more difficult. Aimed at difficulties RVMCS modeling, this paper adopts generalized stochastic Petri nets establish models of RVMCS. Then analyzes operating states potential threats...

&lt;p&gt;Quantile regression has been widely used in many fields because of its robustness and comprehensiveness. However, it remains challenging to perform the quantile (QR) streaming data by a conventional methods, as they are all based on assumption that memory can fit data. To address this issue, paper proposes Bayesian QR approach for data, which posterior distribution was updated utilizing aggregated statistics current historical In addition, theoretical results presented confirm is...