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design, Automation and Test in Europe Conference and Exhibition

作者： Meng Zhang Fei Wu Qin Yu Weihua Liu Lanlan Cui Yahui Zhao Changsheng Xie Wuhan National Laboratory for Optoelectronics Key Laboratory of Information Storage System Engineering Research Center of data storage systems and Technology Ministry of Education of China School of Computer Science and Technology Huazhong University of Science and Technology Wuhan China

ISBN: (数字)9783981926347

ISBN: (纸本)9781728144689

Three-dimensional (3D) NAND flash memory has high capacity and cell storage density by using the multi-bit technology and vertical stack architecture, but degrading data reliability due to high raw bit error rates (RBER) caused by program/erase (P/E) cycles and retention periods. Low-density parity-check (LDPC) codes become more popular error-correcting technologies to improve data reliability due to strong error correction capability, but introducing more decoding iterations at higher RBER. To reduce decoding iterations, this paper proposes BeLDPC: bit errors aware adaptive rate LDPC codes for 3D triple-level cell (TLC) NAND flash memory. Firstly, bit error characteristics in 3D charge trap TLC NAND flash memory are studied on a real FPGA testing platform, including asymmetric bit flipping and temporal locality of bit errors. Then, based on these characteristics, a high-efficiency LDPC code is designed. Experimental results show BeLDPC can reduce decoding iterations under different P/E cycles and retention periods.

关键词： Iterative decoding Three-dimensional displays Error analysis Reliability Encoding Computer architecture

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A Reduced-order Extrapolation Model Based on Proper Orthogonal Decomposition Technique for Rayleigh–Bénard convection

A Reduced-order Extrapolation Model Based on Proper Orthogon...

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第二届材料科学应用与能源材料国际研讨会

作者： Jinghua Yang Dengfeng Lu Zhiguang Deng Xiang Guan Qing Shi Sichuan Electric Power Design & Consulting Co. Ltd National Key Labortory of Science and Technology on Reactor System Design Technology

In order to quickly calculate the flow characteristics in the simulated two-dimensional Rayleigh–Bénard convection model,a reduced-order extrapolation difference model for solving two-dimensional Rayleigh–Bénard is established based on the Proper Orthogonal Decomposition(POD) ***,the classical difference format is used to calculate the flow field on the initial time span,the sample data is to construct the POD basis,and the truncation error generated in the process of constructing the POD base is ***,the two-dimensional reduced-order extrapolation Rayleigh–Bénard model is constructed by combining the SVD and POD *** numerical examples,the classical difference model and the reduced-order extrapolation model are numerically simulated under the given initial boundary *** reliability and effective of the reduced-order method are verified by comparing the flow field temperature cloud maps in the two calculation stages.

关键词： POD A Reduced-order Extrapolation Model Based on Proper Orthogonal Decomposition Technique for Rayleigh nard convection Model

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Study on surface pore characteristic and hydrophilicity of carbon materials in HTGR 27

Study on surface pore characteristic and hydrophilicity of c...

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27th International Conference on Nuclear Engineering: Nuclear Power Saves the World!, ICONE 2019

作者： Ma, Sheng-Chao Shen, Kai-Yue Yin, Hua-Qiang He, Xue-Dong Li, Jun Meng, Ying-Chao Institute of Nuclear and New Energy Technology Collaborative Innovation Center of Advanced Nuclear Energy Technology Key Laboratory of Advanced Reactor Engineering and Safety of Ministry of Education Tsinghua University Beijing100084 China Nuclear Power Design and Research Sub-institute Science and Technology on Reactor System Design Technology Laboratory Nuclear Power Institute of China Chengdu610213 China Institute for Chemical and Bioengineering Department of Chemistry and Applied Biosciences Swiss Federal Institute of Technology Zurich Zurich8093 Switzerland

ISBN: (纸本)9784888983051

Lots of porous carbon materials, including boron-containing carbon (BC) and isostatic pressure graphite (IG-110), are used in high-temperature gas cooled reactor (HTGR). To prevent corrosion caused by carbon-water reaction at high temperature, water absorbed in the materials needs to be removed before the reactor operation. It has become the consensus of the researchers that the pore morphology of the material has an important influence on the physical adsorption and desorption process of the gas. Therefore, it is significant to explore the migration mechanism of moisture in carbon materials by studying the pore characteristics and hydrophilic properties of the material surface. Scanning electron microscopy (SEM) and contact angles tests were used to study the surface pore characteristic and hydrophilicity of BC and IG-110. The results of SEM scanning show that a large number of irregular micropores and cracks were found on the surface of BC, while the structure of IG-110 was more compact, and the size and number of pores were obviously smaller. 3 μL and 5 μL water drops were used to contact angle tests, it was found that the average contact angle of the BC surface with water droplets is 118.04°, which is greater than that of IG-110, measured as 112°. Finally, the water vapor absorption experiment of these two materials were carried out to verify that the pore structure and hydrophilicity have an effect on water absorption, and the pore structure has a more decisive effect on moisture absorption than the hydrophilicity. © 2019 American Society of Mechanical Engineers (ASME). All rights reserved.

关键词： Scanning electron microscopy

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A guideline study for optimal machine learning approaches to predict the off-design performance of sCO 2 -PCHEs

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Case Studies in Thermal Engineering 2025年 73卷

作者： Xin Sui Wenqi Wang Chunyang Liu Peixin Dong School of Mechatronic Engineering Henan University of Science and Technology Luoyang 471003 China Henan Key Laboratory for Machinery Design and Transmission System of Henan Province Luoyang 471003 China Longmen Laboratory Luoyang 471000 China Department of Mechanical Engineering The Hong Kong Polytechnic University Hong Kong Special Administrative Region

As research increasingly focuses on predicting the off-design performance of PCHEs using machine learning (ML) approaches, there is a clear need to identify the most cost-effective method that offers optimal accuracy and generalization across a wide range of operating conditions in sCO 2 power cycles. In response, this study establishes highly accurate machine learning proxies, including XGBoost, SVMs, BPNNs, and FCDNs for comparison, aiming to rank and identify the one with the best accuracy and generalization for different operating conditions of PCHEs. First, multiple datasets concerning the geometric parameters and working conditions of PCHEs are consolidated. Two data-driven techniques are introduced to correlate both inputs and outputs, identifying the most pertinent parameter. Then, the sensitivity of ML models to hyperparameter, split ratio, and data distribution is evaluated. Finally, a mutual assessment is conducted to rank their accuracy and generalization when predicting the heat transfer coefficient across three real-world operating scenarios. This study concludes that: 1) BPNN and XGBoost emerge as the best performers with the highest accuracy, achieving a MAPE of 2.938 % and 3.074 %, respectively, among eleven approaches with four ML models and seven Nu correlation-based models included; 2) BPNN and XGBoost exhibit strong generalization ability, demonstrating accuracy losses of less than 0.057 and 0.244, respectively, against unseen data; 3) unlike FCDN, which requires substantial computational time, or SVM, which produces significant errors, BPNN and XGBoost are more reliable and efficient in forecasting sCO 2 -PCHEs’ performance for future power cycle control studies that involve vast operating conditions and numerous rounds of optimization search.

关键词： Machine learning sCO 2 -PCHEs Hyperparameter optimization Generalization ability Off-design performance

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The Qitai Radio Telescope

arXiv

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arXiv 2023年

作者： Wang, Na Xu, Qian Ma, Jun Liu, Zhiyong Liu, Qi Zhang, Hailong Pei, Xin Chen, Maozheng Manchester, Richard N. Lee, Kejia Zheng, Xingwu Kärcher, Hans J. Zhao, Wulin Li, Hongwei Li, Dongwei Süss, Martin Reichert, Matthias Zhu, Zhongyi Wang, Congsi Li, Mingshuai Li, Rui Li, Ning Kazezkhan, Guljaina Yan, Wenming Wu, Gang Cui, Lang Zhang, Ming Li, Haitao Xinjiang Astronomical Observatory Chinese Academy of Sciences Urumqi830011 China Key Laboratory of Radio Astronomy Chinese Academy of Sciences Nanjing210008 China Xinjiang Key Laboratory of Radio Astrophysics Urumqi830011 China Xinjiang Key Laboratory of Microwave Technology Urumqi830011 China Australia Telescope National Facility CSIRO Space and Astronomy PO Box 76 EppingNSW1710 Australia Department of Astronomy Peking University Beijing100871 China School of Astronomy and Space Science Nanjing University Nanjing210093 China Dr. Hans Jürgen Kärcher Engineering Office Karben61184 Germany Northwest China Research Institute of Electronic Equipment Xi’an710065 China Mainz55130 Germany Beijing Institute of Architectural Design Beijing100045 China Xidian University Guangzhou Institute of Technology Guangzhou510555 China

This study presents a general outline of the Qitai radio telescope (QTT) project. Qitai, the site of the telescope, is a county of Xinjiang Uygur Autonomous Region of China, located in the east Tianshan Mountains at an elevation of about 1800 m. The QTT is a fully steerable, Gregorian-type telescope with a standard parabolic main reflector of 110 m diameter. The QTT has adopted an umbrella support, homology-symmetric lightweight design. The main reflector is active so that the deformation caused by gravity can be corrected. The structural design aims to ultimately allow high-sensitivity observations from 150 MHz up to 115 GHz. To satisfy the requirements for early scientific goals, the QTT will be equipped with ultra-wideband receivers and large field-of-view multi-beam receivers. A multi-function signal-processing system based on RFSoC and GPU processor chips will be developed. These will enable the QTT to operate in pulsar, spectral line, continuum and Very Long Baseline Interferometer (VLBI) observing modes. Electromagnetic compatibility (EMC) and radio frequency interference (RFI) control techniques are adopted throughout the system design. The QTT will form a world-class observational platform for the detection of low-frequency (nanoHertz) gravitational waves through pulsar timing array (PTA) techniques, pulsar surveys, the discovery of binary black-hole systems, and exploring dark matter and the origin of life in the universe. The QTT will also play an important role in improving the Chinese and international VLBI networks, allowing high-sensitivity and high-resolution observations of the nuclei of distant galaxies and gravitational lensing systems. Deep astrometric observations will also contribute to improving the accuracy of the celestial reference frame. Potentially, the QTT will be able to support future space activities such as planetary exploration in the solar system and to contribute to the search for extraterrestrial intelligence. © 2023, CC BY.

关键词： Ultra-wideband (UWB)

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C³DA: A Universal Domain Adaptation Method for Scene Classification From Remote Sensing Imagery

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IEEE Geoscience and Remote Sensing Letters 2024年 21卷

作者： Jiaxu Guo Yushan Lai Jinxiao Zhang Juepeng Zheng Haohuan Fu Lin Gan Liang Hu Gaochao Xu Xilong Che College of Computer Science and Technology Jilin University Changchun China National Supercomputing Center in Wuxi Wuxi China School of Artificial Intelligence Sun Yat-sen University Zhuhai China Department of Earth System Science Tsinghua University Beijing China Tsinghua Shenzhen International Graduate School Tsinghua University Shenzhen China Ministry of Education Key Laboratory for Earth System Modeling and Department of Earth System Science Tsinghua University Beijing China Department of Computer Science and Technology Tsinghua University Beijing China

Various remote sensing applications have widely used domain adaptation (DA) methods. Since it does not need to add human interpretation in the target domain, it can be used in cross-region, multitemporal, and multisensor application scenarios. In order to further optimize the design of the loss function and better address the challenges of DA in remote sensing, in this letter, we propose a new universal DA method named C3DA for scene recognition of remote sensing images. It has a comprehensive C3 criterion for recognizing the “unknown” classes by innovatively fusing confidence, consistency, and certainty of samples to make our network training more efficient. We evaluate the performance of our proposed method based on six transfer tasks on three remote sensing datasets. The evaluation results show that our proposed method achieves an average H-score of 58.44%, significantly higher than other SOTA universal DA methods with an average improvement of 2.32%~29.43%. Compared to the baseline ResNet-50, it achieves up to 19.92% improvement, demonstrating that the proposed method outperforms the universal DA scenario. In the future, we also plan to expand the application of this method to more scenarios.

关键词： Remote sensing Entropy Training Feature extraction Deep learning Adversarial machine learning Vectors

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Performance comparation of two kinds of aircraft ram air outlet

Performance comparation of two kinds of aircraft ram air out...

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CSAA/IET International Conference on Aircraft Utility systems 2020, AUS 2020

作者： Zhimao, Li Xinlong, Zhu Boyu, Wu Houju, Pei Wenbing, Xu Hong, Shi Environment Control and Oxygen System Department Shanghai Aircraft Design and Research Institute Shanghai201210 China College of Energy and Power Jiangsu University of Science and Technology Zhenjiang212003 China Key Laboratory of Aircraft Environment Control and Life Support MIT Nanjing University of Aeronautics and Astronautics Nanjing210016 China

ISBN: (纸本)9781839535635

With the development of electronic equipment integration technology, the air demand for cooling in cabin and electronic system is increasing continuously. The ram air outlet plays an important role in the airflow system. In this paper, the three-dimensional modeling of the door-type ram air outlet and the grille-type ram air outlet is carried out. Then, the flow characteristics and resistance characteristics of ram air outlet are analyzed based on structured grid technology. The results show that the flow rate of the door panel ram air outlet is greater than that of the grille-type ram air outlet in the same size, the discharge rate of the door panel outlet is 0.3kg/s more than that of the grille-type outlet under the design condition, and the skin surface temperature at the back of the door panel outlet is 13.5K lower than that of the grille outlet. Therefore, the door-type ram air outlet has better emission characteristics and flow characteristics, which is more suitable for the aircraft in this research. This study provides a technical reference for the design of the civil aircraft. © 2020 Institution of Engineering and technology. All rights reserved.

关键词： Aircraft

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Forecasting Covid-19 New Cases Through the Mixed Generalized Inverse Weibull Distribution and Time Series Model

SSRN

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SSRN 2023年

作者： Chang, Yiming Tao, YinYing Shan, Wei Yu, Xiangyuan No.37 Xueyuan Road Haidian District Beijing China School of Design and Fashion Zhejiang University of Science and Technology No.318 Liuhe Road Xihu District Zhejiang Hangzhou China School of Economics and Management Beihang University No.37 Xueyuan Road Haidian District Beijing China Key Laboratory of Complex System Analysis and Management Decision Ministry of Education No.37 Xueyuan Road Haidian District Beijing China School of Economics and Management Beijing Jiaotong University No.3 Shangyuancun Haidian District Beijing China

In this paper, the MGIW-ARIMA model is proposed to predict the newly diagnosed cases of COVID-19. The MGIW model is used to predict the trend components, and the ARIMA model is used to predict the random components. Finally, the estimated results of trend components and random components are added together to get the eventual predictions. The data of COVID-19 in the United States is used to verify and evaluate the model. In the short-term prediction, the combined model of MGIW-ARIMA is better than the single MGIW model. In the long-term prediction, the prediction accuracy of the MGIW model is slightly higher than that of the MGIW- ARIMA model. The MGIW-ARIMA model proposed in this paper makes up for the shortcoming of the lack of randomness in the estimated values of the MGIW model. The combination model can effectively capture the short-term changes of the epidemic while grasping the long-term development trend. © 2023, The Authors. All rights reserved.

关键词： COVID-19

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Stress release strategy driven by multi-interface structure and dual-ion insertion toward stable hybrid batteries

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Nano Energy 2025年 142卷

作者： Wenhui Si Miao Tian Zhitao Wang Heping Ma Yibo Du Wenlong Wang Longshuai Zhang Wenming Zhang Hui Ying Yang Song Chen Hebei Key Laboratory of Optic-Electronic Information and Materials National & Local Joint Engineering Laboratory of New Energy Photoelectric Devices College of Physics Science and Technology Hebei University Baoding 071002 China Hebei Key Laboratory of Optic-electronic Information and Materials College of Physics Science and Technology Hebei University Baoding 071002 China Henan Engineering Research Center of Design and Recycle for Advanced Electrochemical Energy Storage Material School of Materials Science and Engineering Henan Normal University Xinxiang 453007 China Key Laboratory of Jiangxi Province for Persistent Pollutants Prevention Control and Resource Reuse Nanchang Hangkong University Nanchang 330063 China Pillar of Engineering Product Development Singapore University of Technology and Design 8 Somapah Road 487372 Singapore

Transition metal chalcogenides exhibit broad application prospects in the energy sector depending on their high energy density and cycling stability. However, the issue of internal stress regulation within them is seriously neglected. Herein, we explore a novel cathode material for the first time and innovatively propose a stress release strategy driven by a multiple interface structure and dual-ion insertion to achieve superior energy storage behavior. We have designed a system with multi-interfaces Cu 4 SnS 4 cathode and APC-LiCl electrolyte to validate the rationality of our thought. Finite element simulations directionally demonstrate that dual-ion insertion and the multi-interface structure possess the capability to alleviate stress in many directions and exhibit exceptional wettability, thereby maintaining structural integrity from a mechanical perspective and significantly enhancing ion diffusion capabilities. Ex-situ characterizations and theoretical calculations comprehensively analyze the reaction mechanisms during magnesiation/lithiation processes, confirming the necessity of regulating internal stress and reaction kinetics. The proposed stress relief strategy not only provides inspiration for developing cathode materials with superior performance and durability but also opens a new path for driving technological innovation and industrial upgrading in the energy fields.

关键词： Cathode Dual-ion insertion Hybrid batteries Multiple interface Stress release

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I3−/I−Redox Reaction-mediated Organic Zinc-Air Batteries with Accelerated Kinetics and Long Shelf Lives

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Angewandte Chemie 2023年第26期135卷

作者： Mangwei Cui Ninggui Ma Hao Lei Youfa Liu Wei Ling Sheng Chen Jiaqi Wang Prof. Hongfei Li Zhaohui Li Prof. Jun Fan Prof. Yan Huang State Key Laboratory of Advanced Welding and Joining Sauvage Laboratory for Smart Materials Shenzhen Key Laboratory of Flexible Printed Electronics Technology School of Materials Science and Engineering Harbin Institute of Technology (Shenzhen) Shenzhen 518055 China Department of Materials Science and Engineering City University of Hong Kong 83 Tat Chee Avenue Kowloon Hong Kong 999077 China Key Laboratory of Radiation Physics and Technology of Ministry of Education Institute of Nuclear Science and Technology Sichuan University Chengdu 610064 China School of System Design and Intelligent Manufacturing Southern University of Science and Technology Shenzhen 518055 China Songshan Lake Materials Laboratory Dongguan 523808 China Shenzhen China Star Optoelectronic Semiconductor Display Technology Co. Ltd. Shenzhen 518055 China

The storage time of Zn-air batteries (ZABs) for practical implementation have been neglected long-lastingly. ZABs based on organic solvents promise long shelf lives but suffer from sluggish kinetics. Here, we report a longly storable ZAB with accelerated kinetics mediated by I 3 − /I − redox. In the charge process, the electrooxidation of Zn 5 (OH) 8 Cl 2 ⋅H 2 O is accelerated by I 3 − chemical oxidation. In the discharge process, I − adsorbed on the electrocatalyst changes the energy level of oxygen reduction reaction (ORR). Benefitting from these advantages, the prepared ZAB shows remarkably improved round-trip efficiency (56.03 % vs. 30.97 % without the mediator), and long-term cycling time (>2600 h) in ambient air without replacing any components or applying any protective treatment to Zn anode and electrocatalyst. After resting for 30 days without any protection, it can still directly discharge continuously for 32.5 h and charge/discharge very stably for 2200 h (440 cycles), which is evidently superior to aqueous ZABs (only 0/0.25 h, and 50/25 h (10/5 cycles) by mild/alkaline electrolyte replenishment). This study provides a strategy to solve both storage and sluggish kinetics issues that have been plaguing ZABs for centuries, opening up a new avenue to the industrial application of ZABs.

关键词： Iodine-Containing Reaction Kinetics Redox Mediators Storage Time Zn-Air Batteries

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