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3rd International Conference on Energy, Power and Electrical technology, ICEPET 2024

作者： Li, Ming Lang, Qingkai Wu, Qiong Beijing Guowang Fuda Science And Technology Development Co. Ltd. Beijing China

ISBN: (纸本)9798350352658

The development status of substation auxiliary control system technology is explained, the substation operation and maintenance and its intelligent development of the new demand is analyzed, and the self-developed auxiliary control system platform architecture design is introduced. Advanced digital technologies such as digital twin, reduced-order modeling, knowledge graph and multi-source data fusion are introduced into the auxiliary control system, and research has been carried out to deepen the application of the auxiliary control system, such as digital twin intelligent operation and maintenance, multi-source data fusion intelligent sensing. Digital Twin Intelligent operation and maintenance is based on the reduced-order agent modeling technology, which achieves a significant reduction in the average simulation computation time from 6.27 hours to 17.25 seconds. Multi-source data fusion intelligent sensing is based on improved D-S evidence theory and Bayesian knowledge graph technology, which realizes the diagnosis and assessment of fault types, especially for equipment insulation, theoretically eliminating the possibility of misdetection. The deepening application of the auxiliary control system has strongly enhanced the safety and reliability of the power grid, and significantly improved the efficiency and intelligent level of operation and maintenance. © 2024 IEEE.

关键词： Auxiliary equipment

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RankAxis: Towards a Systematic Combination of Projection and Ranking in Multi-Attribute Data Exploration

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IEEE Transactions on Visualization and Computer Graphics 2023年第1期29卷 701-711页

作者： Liu, Qiangqiang Ren, Yukun Zhu, Zhihua Li, Dai Ma, Xiaojuan Li, Quan ShanghaiTech China Binance Risk Department United States Corporate Development Group Tencent United States The Hong Kong University of Science and Technology China School of Information Science and Technology ShanghaiTech University China

Projection and ranking are frequently used analysis techniques in multi-attribute data exploration. Both families of techniques help analysts with tasks such as identifying similarities between observations and determining ordered subgroups, and have shown good performances in multi-attribute data exploration. However, they often exhibit problems such as distorted projection layouts, obscure semantic interpretations, and non-intuitive effects produced by selecting a subset of (weighted) attributes. Moreover, few studies have attempted to combine projection and ranking into the same exploration space to complement each other's strengths and weaknesses. For this reason, we propose RankAxis, a visual analytics system that systematically combines projection and ranking to facilitate the mutual interpretation of these two techniques and jointly support multi-attribute data exploration. A real-world case study, expert feedback, and a user study demonstrate the efficacy of RankAxis. © 2022 IEEE.

关键词： Semantics

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Ultralong hydroxyapatite-based forward osmosis membrane for freshwater generation

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Frontiers of Chemical science and Engineering 2024年第9期18卷 37-49页

作者： Mohamed Gamal Gomaa Hamdy Maamoun Abdel-Ghafar Francesco Galiano Francesca Russo Alberto Figoli El-Sayed Ali Abdel-Aal Abdel-Hakim Taha Kandil Bahaa Ahmed Salah Central Metallurgical Research and Development Institute(CMRDI) 11421 CairoEgypt Chemistry Department Faculty of ScienceHelwan University11795 CairoEgypt Institute on Membrane Technology(CNR-ITM) 87036 RendeItaly

Increasing global water shortages are accelerating the pace of membrane manufacturing,which generates many environmentally harmful *** challenges need a radical rethink of developing innovative membranes that can address freshwater production without generating environmentally harmful *** work utilized the synthesized ultra-long hydroxyapatite(UHA)by the solvothermal method using the green solvent oleic acid in preparing UHA-based forward osmosis *** membranes were developed using different loading ratios of graphene oxide(GO)by vacuum-assisted filtration *** prepared GO/UHA membranes were identified using X-ray diffraction,scanning electron microscope,Fourier-transform infrared spectroscopy,and X-ray photoelectron *** contact angle and pore size distribution were determined for the obtained GO/UHA *** obtained hierarchical porous structure in the prepared membranes with interconnected channels results in a stable water flux with reverse salt *** best water flux rate of 42±2 L·m^(–2)·h^(–1)was achieved using the 50 mg GO/UHA membrane,which is 3.3 times higher than the pristine membrane,and a reverse salt flux of 67 g·m^(-2)·h^(–1).The obtained results showed a promising capability of a new generation of sustainable inorganic-based membranes that can be utilized in freshwater generation by energy-efficient techniques such as forward osmosis.

关键词： forward osmosis ultra-long hydroxyapatite graphene oxide inorganic-based membrane

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development of sustainable and efficient recycling technology for spent Li-ion batteries: Traditional and transformation go hand in hand

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Green Energy & Environment 2024年第5期9卷 802-830页

作者： Zejian Liu Gongqi Liu Leilei Cheng Jing Gu Haoran Yuan Yong Chen Yufeng Wu Guangzhou Institute of Energy Conversion Chinese Academy of Sciences(CAS)Guangzhou510640China School of Engineering Science University of Science and Technology of ChinaHefei230026China Guangdong Provincial Key Laboratory of New and Renewable Energy Research and Development Guangzhou510640China Faculty of Materials and Manufacturing Beijing University of TechnologyBeijing100124China

Clean and efﬁcient recycling of spent lithium-ion batteries(LIBs)has become an urgent need to promote sustainable and rapid development of human ***,we provide a critical and comprehensive overview of the various technologies for recycling spent LIBs,starting with lithium-ion power *** research on raw material collection,metallurgical recovery,separation and puriﬁcation is highlighted,particularly in terms of all aspects of economic efﬁciency,energy consumption,technology transformation and policy *** and pathways for transformative full-component recovery of spent LIBs are explored,revealing a clean and efﬁcient closed-loop recovery *** methods are proposed for future recycling technologies,with a focus on how future research directions can be ***,based on life-cycle assessment,the challenges of future recycling are revealed from the LIBs supply chain and stability of the supply chain of the new energy battery industry to provide an outlook on clean and efﬁcient short process recycling *** work is designed to support the sustainable development of the new energy power industry,to help meet the needs of global decarbonization strategies and to respond to the major needs of industrialized recycling.

关键词： Spent LIBs Transformative recycling LCA analysis Policy guidance High value utilization

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Graphdiyne scaffold anchored highly dispersed ruthenium nanoparticles as an efficient cathode catalyst for rechargeable Li-CO_(2) battery

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Chinese Chemical Letters 2024年第1期35卷 552-557页

作者： Yiru Ma Huiqi Qu Wenna Wang Ziyang Guo Yueqin Yu Feng Liu Bin Yu Minge Tian Zhenjiang Li Bin Li Lei Wang College of Chemistry and Molecular Engineering State Key Laboratory Base of Eco-Chemical EngineeringInternational Science and Technology Cooperation Base of Eco-Chemical Engineering and Green ManufacturingQingdao University of Science and TechnologyQingdao 266042China College of Materials Science and Engineering Qingdao University of Science and TechnologyQingdao 266042China College of Environment and Safety Engineering Qingdao University of Science and TechnologyQingdao 266042China College of Chemical Engineering Qingdao University of Science and TechnologyQingdao 266042China Biomedical Sensing Engineering Technology Research Center Shandong UniversityJi'nan 250100China Scientific Green(Shandong)Environmental Technology Co. Ltd.Jining Economic Development ZoneJining 272499China

Lithium (Li)-CO_(2) battery is rising as an attractive energy-storage system with the competence of CO_(2) conversion/fixation. However, its practical development is seriously hindered by the high overpotential. Herein, a rational design on a highly catalytic Li-CO_(2) battery electrode built by graphdiyne powder as a multi-functional laminar scaffold with anchored highly dispersed Ru nanoparticles is explored. The strong interaction between the abundant acetylenic bond sites of graphdiyne scaffold and Ru nanoparticles can effectively promote the electrochemical progress and reduce the voltage polarization. The unique channels architecture of the cathodic catalyst with enough space not only accelerates CO_(2) diffusion and electrons/Li+ transport, but also allows a large amount of accommodation for discharged product (Li2CO3) to assure an advanced capacity. The corresponding Li-CO_(2) battery displays an advanced discharged capacity of 15,030 mAh/g at 500 mA/g, great capacity retention of 8873 mAh/g at 2 A/g, high coulombic efficiency of 97.6% at 500 mA/g and superior life span for 120 cycles with voltage gap of 1.67 V under a restricted capacity of 1000 mAh/g at 500 mA/g. Ex/in-situ studies prove that synergy between Ru nanoparticles and acetylene bonds of GDY can boost the round-trip CO_(2)RR and CO_(2)ER kinetics.

关键词： Nanopores Li-CO_(2)battery Anchored Ru nanoparticles Graphdiyne Synergistic effect

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Extracting Cultural Elements of Intangible Cultural Heritage Based on Region-CNN Algorithm

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Computer-Aided Design and Applications 2024年第S27期21卷 202-214页

作者： Guo, Weiwei Fu, Guangwei School of Cultural Communication Shandong Youth University of Political Science Jinan250103 China Technology Research and Development Department Jinan Dianzheng Information Technology Co. Ltd Shandong Jinan250199 China

Computer-aided design (CAD) technology provides a new possibility for the recording and presentation of ICH culture because it can generate high-precision digital models. Computer vision technology can identify, extract, and analyze the characteristic elements of ICH culture from massive images and videos. By analyzing the content extraction of neural network visual teaching, an application analysis of element extraction for digital cultural heritage has been constructed. Not only has it expanded the application of neural network elements, but it has also been well displayed on the digital table of material culture. The Faster R-CNN algorithm has been carefully evaluated through numerous experiments to identify the characteristics of material culture accurately. Data points were collected at different stages of the training results. The experimental results show that in the traditional testing and training stage, it has constructed a training model with high accuracy and fast convergence speed. By analyzing the quality of rendering speed. We created a high teaching quality effect. Therefore, the Faster R-CNN algorithm still provides strong algorithmic support in the inheritance of material culture. © 2024 U-turn Press LLC.

关键词： Computer aided design

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Temporal Alpha Dissimilarity of ADHD Brain Network in Comparison With CPT and CATA

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IEEE Transactions on Neural Systems and Rehabilitation Engineering 2024年 32卷 1333-1343页

作者： Lin, Jo-Wei Fan, Zuo-Cian Tzou, Shey-Cherng Wang, Liang-Jen Ko, Li-Wei Department of Biological Science and Technology The College of Biological Science and Technology Hsinchu300 Taiwan Department of Biological Science and Technology Hsinchu300 Taiwan Department of Biological Science and Technology Hsinchu300 Taiwan Kaohsiung Chang Gung Memorial Hospital Chang Gung University College of Medicine Department of Child and Adolescent Psychiatry Kaohsiung83301 Taiwan Department of Electronics and Electrical Engineering Department of Biological Science and Technology Hsinchu300 Taiwan Kaohsiung Medical University Drug Development and Value Creation Research Center Department of Biomedical Science and Environment Biology Kaohsiung807 Taiwan

Attention deficit hyperactivity disorder (ADHD) is a chronic neurological and psychiatric disorder that affects children during their development. To find neural patterns for ADHD and provide subjective features as decision references to assist specialists and physicians. Many studies have been devoted to investigating the neural dynamics of the brain through resting-state or continuous performance tests (CPT) with EEG or functional magnetic resonance imaging (fMRI). The present study used coherence, which is one of the functional connectivity (FC) methods, to analyze the neural patterns of children and adolescents (8-16 years old) under CPT and continuous auditory test of attention (CATA) task. In the meantime, electroencephalography (EEG) oscillations were recorded by a wireless brain-computer interface (BCI). 72 children were enrolled, of which 53 participants were diagnosed with ADHD and 19 presented to be typical developing (TD). The experimental results exhibited a higher difference in alpha and theta bands between the TD group and the ADHD group. While the differences between the TD group and the ADHD group in all four frequency domains were greater than under CPT conditions. Statistically significant differences (p © 2001-2011 IEEE.

关键词： Electroencephalography

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Improvement in hydrogen storage performance of MgH_(2) by vanadium doped with ZIF-8 derived a single-atom catalyst V-N-C

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Rare Metals 2024年第6期43卷 2623-2635页

作者： Fei-Fan Hong Wei-Tao Shi Ruo-Lin Zhao Yi Fan Zi-Qi Liu Si-Zhi Ding Hai-Zhen Liu Wen-Zheng Zhou Jin Guo Zhi-Qiang Lan Guangxi Novel Battery Materials Research Center of Engineering Technology and Center on Nanoenergy Research Guangxi Colleges and Universities Key Laboratory of Blue Energy and Systems IntegrationCarbon Peak and Neutrality Science and Technology Development InstituteSchool of Physical Science and TechnologyGuangxi UniversityNanning 530004China Nanning Engineering Technology Research Center for Power Transmission System of New Energy Vehicle Transportation CollegeNanning UniversityNanning 530200China

Herein,the successful preparation of a singleatom catalyst V-N-C using vanadium-doped zeolitic imidazolate framework(ZIF)-8 as a precursor is *** experimental results showed that the V-N-C had a good promoting effect on the hydrogen storage performance of MgH_(2),and the optimal addition amount of V-N-C was 10wt%.The hydrogenation and dehydrogenation apparent activation energies of 10 wt%V-N-C-catalyzed MgH_(2)were reduced by 44.9 and 53.5 kJ·mol^(-1),respectively,compared to those of additive-free MgH_(2).The 10 wt%V-N-C-catalyzed MgH_(2)could reabsorb 5.92 wt%of hydrogen in 50 min at 150℃,with a capacity retention rate of 99.1%after 30 cycles of hydrogen absorption and *** analysis showed that V-N-C was partially transformed into VN and metallic V when it was milled with MgH_(2);the in-situ-formed VN and metallic V played an important role in improving the hydrogen storage performance of MgH_(2).This approach provides a potential solution for obtaining high-performance Mg-based hydrogen storage materials through synergistic interactions between V,N and C.

关键词： MgH_(2) Hydrogen storage materials Catalyst Hydrogen storage perormance

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A Hybrid Model Using Coordinate Attention Mechanisms for Stock Price Prediction 24

A Hybrid Model Using Coordinate Attention Mechanisms for Sto...

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2024 International Conference on Digital Economy, Blockchain and Artificial Intelligence, DEBAI 2024

作者： Sun, Ying Zhang, Bowen Peng, Cheng The Institute for Sustainable Development Macau University of Science and Technology China College of Big Data and Internet Shenzhen Technology University Shenzhen China School of Computer Science University of Electronic Science and Technology of China Zhongshan China

ISBN: (纸本)9798400710261

Predicting stock prices is a complex and challenging task in financial markets due to the intricate and non-linear nature of stock price movements. This study explores the application of Coordinate Attention mechanisms within advanced Temporal Convolutional Network (TCN) frameworks for stock price prediction based solely on historical stock price data. We present a hybrid model that combines the advantages of modern TCNs with Coordinate Attention mechanisms to improve the precision and robustness of stock prediction models. Extensive experiments are conducted on the well-known TSLA stock dataset. The results show varying levels of alignment with actual stock prices, highlighting the strengths and weaknesses of each model. © 2024 Copyright held by the owner/author(s).

关键词： Prediction models

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Lifecycle carbon footprint and cost assessment for coal-to-liquid coupled with carbon capture,storage,and utilization technology in China

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Frontiers in Energy 2023年第3期17卷 412-427页

作者： Jingjing XIE Kai LI Jingli FAN Xueting PENG Jia LI Yujiao XIAN Centre for Sustainable Development and Energy Policy Research School of Energy and Mining EngineeringChina University of Mining and TechnologyBeijing 100083China Centre for Sustainable Development and Energy Policy Research School of Energy and Mining EngineeringState Key Laboratory of Coal Resources and Safe MiningChina University of Mining and TechnologyBeijing 100083China The Administrative Centre for China's Agenda 21 Ministry of Science and TechnologyBeijing 100038China The Hong Kong University of Science and Technology(Guangzhou) Carbon Neutrality and Climate Change ThrustGuangzhou 511400China Jiangmen Laboratory of Carbon Science and Technology The Hong Kong University of Science and TechnologyJiangmen 529199China Centre for Sustainable Development and Energy Policy Research School of Energy and Mining EngineeringState Key Laboratory of Coal Resources and Safe MiningSchool of ManagementChina University of Mining and TechnologyBeijing 100083China

Thecoal-to-liquidcoupledwithcarbon capture,utilization,and storage technology has the potential to reduce CO_(2)emissions,but its carbon footprint and cost assessment are still *** this paper,coal mining to oil production is taken as a life cycle to evaluate the carbon footprint and levelized costs of direct-coal-toliquid and indirect-coal-to-liquid coupled with the carbon capture utilization and storage technology under three scenarios:non capture,process capture,process and public capture throughout the life *** results show that,first,the coupling carbon capture utilization and storage technology can reduce CO_(2)footprint by 28%-57%from 5.91 t CO_(2)/t:oil of direct-coal-to-liquid and 24%-49%from 7.10 t CO_(2)/t:oil of ***,the levelized cost of direct-coal-to-liquid is 648-1027$/t of oil,whereas that of indirect-coal-to-liquid is 653-1065$/t of *** coupled with the carbon capture utilization and storage technology,the levelized cost of direct-coalto-liquid is 285-1364$/t of oil,compared to 1101-9793/t of oil for ***,sensitivity analysis shows that CO_(2)transportation distance has the greatest impact on carbon footprint,while coal price and initial investment cost significantly affect the levelized cost ofcoal-to-liquid.

关键词： coal-to-liquid carbon capture utilization and storage(CCUS) carbon footprint levelized cost of liquid lifecycle assessment

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