Statistical analysis of pulsed micro-discharges and ozone generation in dielectric barrier discharges

Pulsed micro-discharges produced by dielectric barrier discharges (DBDs) in a sub-millimeter gap were investigated under 200 cycles of sinusoidal ac voltage at 5 kHz in this work. The impulsive current in the external circuit was accurately measured by an oscilloscope with a bandwidth of 2.5 GHz and maximum sampling rate of 40 GS/s to calculate the filamentary current in the discharge gap. The amplitude, pulse duration and transferred charge of a single filamentary current and the micro-discharge energy acquired over the 200 voltage cycles were statistically analyzed for different discharge gaps and gas pressures. The micro-discharge parameters and ozone generation efficiencies for different conditions were compared. The ozone production efficiency was found to increase with increasing pressure from 1 bar absolute to 2 bar absolute, and the gap length from 0.2 mm to 0.5 mm. The maximum ozone production efficiency achieved in the work was 217 g/kWh, with a gap length of 0.5 mm, 2.0 bar absolute pressure, and an applied voltage of 5.5 kV at 5 kHz

Optimization of ozone generation by investigation of filament current characteristics under dielectric barrier discharge

In this paper, a new method to analyse Lissajous figures is developed. The model takes stray capacitance into account, leading to a more accurate equivalent circuit to describe the conditions during a discharge event. Using this method, the external measured current and the relationship between the filament current and the external current can be determined. The model also allows for calculation of the relationship between reduced electric field and ozone efficiency. In this paper, an optimized efficiency of ~207 g/kWh was achieved, at ~123 Td. The relationship between external current and ozone efficiency was also determined by changing gas pressure and barrier thickness. It was found that with increasing barrier thickness and increasing pressure, the ozone efficiency increased, while the external current decreased. The highest ozone efficiency achieved was ~225 g/kWh

Creating and Stabilizing an Enormous Bubble Economy Similar to the Great Depression

First, with volatile income adjustment and the E-V rule of Markowitz (1952), a bond is embedded into the RBC economy under symmetric information conditions. Second, equipped with this way of involving credit, commercial bank and central bank are embedded into the flexible price economy with the monetary effectiveness of Huang (2021). Based on this monetary economy with banks, an enormous asset price bubble economy similar to the Great Depression was created and stabilized. Credit is a Pareto improvement to the original economies. The resource allocation in the unique equilibrium of the multiagent economy with taxes, money, and credit in this paper is Pareto optimal

A study on deep learning and explainable & interpretable AI: From general domain to healthcare

Deep learning has witnessed an unprecedented evolution over the past decade, transforming from theoretical concepts into practical applications that permeate numerous domains of human activity. The exponential growth in computational power, availability of large-scale data, and advancements in neural network architectures have collectively facilitated the development of increasingly sophisticated deep learning models (e.g., large language models, LLMs) with performance levels that often surpass human capabilities in specific tasks. Despite these advancements, the deployment of deep learning models for healthcare presents substantial methodological and paradigmatic challenges. The transition from general to healthcare-specific contexts requires addressing fundamental differences in (i) representation learning, (ii) domain knowledge, (iii) data characteristics and (iv) explainability and interpretability. To address these issues, this study aims to systematically investigate the methodological and paradigmatic transition of deep learning and explainable & interpretable AI from general domain to healthcare. Our contributions are in following key areas: (i) we introduce multi-label relations in multi-label supervised contrastive learning (MSCL) and propose a novel contrastive loss function, termed Similarity-Dissimilarity Loss, which dynamically re-weights based on the computed similarity and dissimilarity factors between positive samples and anchors, applying for areas from multi-label classification to automated medical coding; (ii) We propose a Prompting Explicit and Implicit knowledge (PEI) framework for multi-hop question answering (QA) in biomedical domains, which employs CoT prompt-based learning to bridge explicit and implicit knowledge, aligning with human reading comprehension; (iii) we introduce a lexical-based imbalanced data augmentation (LIDA) for mental health moderation, which an easy-to-implement and interpretable DA method that strategically leverages sensitive lexicons by incorporating them into negative samples to transform these instances into positive examples. Through rigorous theoretical analyses and extensive experimental validation across multiple domains, this thesis contributes novel methodologies that enhance the performance, interpretability, and clinical applicability of deep learning methods from general domain to healthcare

Seigniorage Channel and Monetary Effectiveness in Flexible Price Economy

Replacing government lump-sum transfers in the household budget by the seigniorage channel in a modified RBC economy, this paper finds that the monetary shocks can impact the real economy effectively in the Neoclassical flexible price condition. The mechanism of the effectiveness is the resource reallocation triggered by monetary shocks. There are three outstanding characteristics of the seigniorage channeled monetary economy—integrality, interactive pricing, and Pareto optimality of the unique equilibrium—all of which are found to be incompatible with the existing dynamic general equilibrium monetary economics. Many vexing issues in macroeconomics are clarified through the lens of the seigniorage channeled monetary economy, including the price puzzle, missing of the liquidity effect, cause of the hump in the impulse-response curves, nonneutrality of growth rate of money and inflation, origin of the money market interest rate, choosing of reactive monetary policy rule, and negative movement of hours under a positive technology shock. The simulation shows that the seigniorage channeled monetary economy matches the empirical results in the literature well

Accuracy improvement on fatigue test of megawatt wind turbine blades by adaptive fuzzy control

A single-point fatigue loading system of wind turbine blade driven by an unbalanced shaft was designed. To determine whether the vibrating performance of the loading system satisfied the fatigue test demanding, the blade was driven by different frequency under open-loop control mode in on-site flapwise fatigue test. The results showed that the more the driven frequency close to the blade’s natural frequency, the more the amplitude of the blade increase. In resonance mode, the amplitude of the blade can reach the maximum value certainly. However, the peak values of the vibration have some fluctuation, which will influence the accuracy of fatigue test. To solve the unstable problem of blade’s amplitude, the amplitude of blade’s loading point obtained by laser range meter was taken as the control index, the deviation of the amplitude and its variation tendency were taken as the input and the loading frequency as the output, then an adaptive fuzzy control system based on multistage network was built to realize blade’s constant amplitude vibrating. The on-site test showed the adaptive fuzzy control algorithm put forward in this paper could maintain the error of the peak value of vibration less than 5 mm, which satisfied the fatigue test requirement