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Articles by Shi Su
Design of a high-uniformity illumination system based on multi-beam superposition
In biomedical experiments such as in vivo microscopy, to achieve high-uniformity illumination on two differently sized illuminated surfaces within a confined space, a multi-beam superposition illumination system comprising a laser source, multi-channel optical fibers, a square light pipe, and a projection lens was designed.
Design of a zoom illumination system based on asymmetric distribution
To meet the requirements of simulating the lunar surface lighting environment in ground-based training for manned lunar landing, and to address the inherent ghosting issues of traditional lamp array solutions, as well as the shortcomings of insufficient energy and poor uniformity in single-lamp direct illumination, a zoom illumination system based on asymmetric distribution was designed.
Cellulose/Aminated Multi-Walled Carbon Nanotube Nanocomposite Aerogels for Oil Adsorption
All articles published by MDPI are made immediately available worldwide under an open access license. No special permission is required to reuse all or part of the article published by MDPI, including figures and tables. For articles published under an open access Creative Common CC BY license, any part of the article may be reused without permission provided that the original article is clearly cited. For more information, please refer to https://www.mdpi.com/openaccess.
A Two-Stage Generative Architecture for Renewable Scenario Generation Based on Temporal Scenario Representation and Diffusion Models
All articles published by MDPI are made immediately available worldwide under an open access license. No special permission is required to reuse all or part of the article published by MDPI, including figures and tables. For articles published under an open access Creative Common CC BY license, any part of the article may be reused without permission provided that the original article is clearly cited. For more information, please refer to https://www.mdpi.com/openaccess.
Spread spectrum photon counting compressed depth imaging method
The pseudo-random spread spectrum photon counting three-dimensional imaging community is able to acquire detailed time-correlated photon counting depth profiles by collecting a large amount of data about a scene and applying the matched filtering (MF) algorithm. However, it limits their ability to process, transmit, and store. To solve this problem, we report the structural time-correlated sparse representation depth reconstruction framework.
ChREBP-mediated up-regulation of Them1 coordinates thermogenesis with glycolysis and lipogenesis in response to chronic stress
Simple Voltage Balancing Control of Four-Level Inverter
1. Introduction Multilevel converters are known for their superior output voltage quality and reduced voltage variability, making them widely applicable in low-voltage, high-power industrial applications, such as photovoltaic power generation, motor control, and electric vehicles.
A Single-Phase Ground Fault Line Selection Method in Active Distribution Networks Based on Transformer Grounding Mode Modification
All articles published by MDPI are made immediately available worldwide under an open access license. No special permission is required to reuse all or part of the article published by MDPI, including figures and tables. For articles published under an open access Creative Common CC BY license, any part of the article may be reused without permission provided that the original article is clearly cited. For more information, please refer to https://www.mdpi.com/openaccess.
Energies | Free Full-Text | Optimal Configuration Method of Primary and Secondary Integrated Intelligent Switches in the Active Distribution Network Considering Comprehensive Fault Observability
1. Introduction As the demand for power supply stability and reliability in the active distribution network (ADN) increases, the integration of primary and secondary distribution network equipment has become an inevitable industry trend, and the primary and secondary integrated intelligent switch (PSIIS) has also become the primary choice for the smart grid transformation in many weak infrastructure areas [1,2]. PSIISs combine the functions of measuring devices and sectional switches.
Ultra‐low‐field magnetic resonance angiography at 0.05 T: A preliminary study
2D two-dimensional 3D three-dimensional AC alternating current BW bandwidth EMI electromagnetic interference FA flip angle GRE gradient echo MIP maximum intensity projection MOTSA multiple overlapping thin slab acquisition MRA magnetic resonance angiography MRI magnetic resonance imaging MT magnetization transfer NEX number of excitations POCS projection onto convex sets RF radiofrequency SAR specific absorption ratio SNR signal-to-noise ratio TE echo time TOF time-of-flight TONE...
Operational Deflection Shape Measurements on Bladed Disks with Continuous Scanning Laser Doppler Vibrometry
All articles published by MDPI are made immediately available worldwide under an open access license. No special permission is required to reuse all or part of the article published by MDPI, including figures and tables. For articles published under an open access Creative Common CC BY license, any part of the article may be reused without permission provided that the original article is clearly cited. For more information, please refer to https://www.mdpi.com/openaccess.
Volt-VAR Control in Active Distribution Networks Using Multi-Agent Reinforcement Learning
1. Introduction With the widespread integration of a high proportion of new energy sources into active distribution networks (ADNs), issues such as voltage violation, voltage fluctuation, and power loss caused by distributed new energy sources such, as photovoltaic (PV), are becoming increasingly prominent [1]. In order to alleviate these problems, Volt-VAR Control (VVC) is widely applied to improve the voltage quality of distribution networks (DNs) and reduce network losses [2].
An ECG Signal Acquisition and Analysis System Based on Machine Learning with Model Fusion
4. Discussion Multiple types of models were built for overall classification and model fusion was conducted. Firstly, traditional models such as logistic regression (LR) [27], support vector machines (SVMs) [28], and XGBoost were employed, along with feature engineering for classification [17]. Feature engineering primarily included morphological features and wavelet coefficient features. Subsequently, deep learning models, including CNN and LSTM, were used for classification.
Field Development-2023
The integration of machine learning and physics-based simulation modeling offers a comprehensive approach to optimizing unconventional development and addressing parent-/child-well depletion issues. By combining the predictive capabilities of machine-learning models with the insights gained from physics-based modeling, operators can develop customized solutions tailored to the specific characteristics of the reservoir.
BIR Publications
Full Paper Abstract Objective: To develop an automated method for 3D magnetic resonance (MR) vessel wall image analysis to facilitate morphologic quantification of intra- and extracranial arteries, including vessel centerline tracking, vessel straightening and reformation, vessel wall segmentation based on convoluted neural networks (CNNs), and morphological measurement.
Getting Viral…
This is not what you think it is. After two years of nimbly dodging it, I got caught. Or rather, I caught it. The infamous COVID-19. Assembled in Microsoft PowerPoint. Yes, clickbait title, it was too tempting! I live in a country where rules are enforced quite strictly. Mask wearing mandates indoors and outdoors are very well respected, hand sanitizer available everywhere, social distancing more or less respected.
Discover a Whole New World; Follow Random People
Content that you never thought existed will be revealed to you, and it’s only the tip of the iceberg. After reading many articles on how to get to 100 followers, I decided to apply a simple strategy. Keep writing content to expand my visibility, and follow random people hoping they would follow me back to reach the magical number. Lazily made in Microsoft PowerPoint. First of all, I managed to reach the 100 followers, with a ratio of roughly 1/5. For five people followed, one would follow me back.
How My Bybit Account Got Terminated
I even forgot I had one. This might be kind of a public service announcement. While exploring crypto exchanges, checking for promotions and opportunities, I ended up seeing some advertisement on the Bybit platform. I created an account two weeks ago, didn’t look around much, and moved on to some other business. Since then, I received daily emails with promotional offers, until I received the email below today.
Work-life Balance, 7 Tips to Keep Your Life Under Control
Tips you should apply to claim back your free time. Almost 10 years ago, fresh out of university, I started my first job as an engineer. I have always been the type to do push myself to learn and do more. Being single at that time, expatriate and striving to progress quickly in my technical career, I did not count my working hours, and happily worked late in the evenings and during the weekends, on my own volition. Photo by Luis Villasmil on Unsplash That served me well in a sense.
Site Trials and Demonstration of a Novel Pilot Ventilation Air Methane Mitigator
Download Hi-Res ImageDownload to MS-PowerPointCite This:Energy Fuels 2020, XXXX, XXX RETURN TO ARTICLES ASAPEnvironmental and Ca...Environmental and Carbon Dioxide IssuesNEXT Junjun Yin, Shi Su* Shi Su CSIRO, P.O. Box 883, Kenmore, QLD 4069, Australia *Email: . Tel: +61 7 3327 4679. Fax: +61 7 3327 4455.
Ammonia Syngas Production from Coal Mine Drainage Gas with CO2 Capture via Enrichment and Sorption-Enhanced Autothermal Reforming
Download Hi-Res ImageDownload to MS-PowerPointCite This:Energy Fuels 2019, XXXX, XXX Junjun Yin* Shi Su Shi Su CSIRO Mineral Resources, Post Office Box 883, Kenmore, Queensland 4069, Australia Jun-Seok Bae Xin Xiang Yu Xin Xiang Yu CSIRO Mineral Resources, Post Office Box 883, Kenmore, Queensland 4069, Australia Michael Cunnington Michael Cunnington CSIRO Mineral Resources, Post Office Box 883, Kenmore, Queensland 4069, Australia Yonggang Jin Yonggang Jin CSIRO Mineral Resources, Post Office...
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