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Fast UAV path planning in urban environments based on three-step experience buffer sampling DDPG

Digital Communications and Networks 2024年第4期10卷 813-826页

作者： Shasha Tian Yuanxiang Li Xiao Zhang Lu Zheng Linhui Cheng Wei She Wei Xie College of Computer Science South-Central Minzu UniversityWuhan430074China Hubei Provincial Engineering Research Center for Intelligent Management of Manufacturing Enterprises Wuhan430074China School of Computer Science Wuhan UniversityWuhan430072China School of Mathematics&Statistics South-Central Minzu UniversityWuhan430074China

The path planning of Unmanned Aerial Vehicle(UAV)is a critical issue in emergency communication and rescue operations,especially in adversarial urban *** to the continuity of the flying space,complex building obstacles,and the aircraft's high dynamics,traditional algorithms cannot find the optimal collision-free flying path between the UAV station and the ***,in this paper,we study the fast UAV path planning problem in a 3D urban environment from a source point to a target point and propose a Three-Step Experience Buffer Deep Deterministic Policy Gradient(TSEB-DDPG)*** first build the 3D model of a complex urban environment with buildings and project the 3D building surface into many 2D geometric *** transformation,we propose the Hierarchical Learning Particle Swarm Optimization(HL-PSO)to obtain the empirical ***,to ensure the accuracy of the obtained paths,the empirical path,the collision information and fast transition information are stored in the three experience buffers of the TSEB-DDPG algorithm as dynamic guidance *** sampling ratio of each buffer is dynamically adapted to the training ***,we designed a reward mechanism to improve the convergence speed of the DDPG algorithm for UAV path *** proposed TSEB-DDPG algorithm has also been compared to three widely used competitors experimentally,and the results show that the TSEB-DDPG algorithm can archive the fastest convergence speed and the highest *** also conduct experiments in real scenarios and compare the real path planning obtained by the HL-PSO algorithm,DDPG algorithm,and TSEB-DDPG *** results show that the TSEBDDPG algorithm can archive almost the best in terms of accuracy,the average time of actual path planning,and the success rate.

关键词： Unmanned aerial vehicle Path planning Deep deterministic policy gradient Three-step experience buffer Particle swarm optimization

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Transferable,highly crystalline covellite membrane for multifunctional thermoelectric systems

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InfoMat 2024年第11期6卷 66-80页

作者： Myungwoo Choi Geonhee Lee Yea-Lee Lee Hyejeong Lee Jin-Hoon Yang Hanhwi Jang Hyeonseok Han MinSoung Kang Seonggwang Yoo A-Rang Jang Yong Suk Oh Inkyu Park Min-Wook Oh Hosun Shin Seokwoo Jeon Jeong-O Lee Donghwi Cho Department of Materials Science and Engineering Korea UniversitySeoulRepublic of Korea Thin Film Materials Research Center Korea Research Institute of Chemical TechnologyDaejeonRepublic of Korea Chemical Data-Driven Research Center Korea Research Institute of Chemical TechnologyDaejeonRepublic of Korea Division of Chemical and Material Metrology Korea Research Institute of Standards and ScienceDaejeonRepublic of Korea Department of Materials Science and Engineering Korea Advanced Institute of Science and TechnologyDaejeonRepublic of Korea Department of Mechanical Engineering Korea Advanced Institute of Science and TechnologyDaejeonRepublic of Korea Therapeutics&Biotechnology Division Drug Discovery Platform Research CenterKorea Research Institute of Chemical TechnologyDaejeonRepublic of Korea Querry Simpson Institute for Bioelectronics Northwestern UniversityEvanstonIllinoisUSA Division of Electrical Electronic and Control EngineeringKongju National UniversityCheonanRepublic of Korea Department of Mechanical Engineering Changwon National UniversityChangwonRepublic of Korea Department of Materials Science and Engineering Hanbat National UniversityDaejeonRepublic of Korea Advanced Materials and Chemical Engineering University of Science and TechnologyDaejeonRepublic of Korea

Emerging freestanding membrane technologies,especially using inorganic thermoelectric materials,demonstrate the potential for advanced thermoelectric ***,using rare and toxic elements during material processing must be ***,we present a scalable method for synthesizing highly crystalline CuS membranes for thermoelectric *** sulfurizing crystalline Cu,we produce a highly percolated and easily transferable network of submicron CuS *** CuS membrane effectively separates thermal and electrical properties to achieve a power factor of 0.50 mW m^(-1) K^(-2) and thermal conductivity of 0.37 W m^(-1) K^(-1) at 650 K(estimated value).This yields a record-high dimensionless figure-of-merit of 0.91 at 650 K(estimated value)for ***,integrating 12 CuS devices into a module resulted in a power generation of4μW atΔT of 40 K despite using a straightforward configuration with only p-type ***,based on the temperature-dependent electrical characteristics of CuS,we develop a wearable temperature sensor with antibacterial properties.

关键词： copper sulfide flexible thermoelectric generator multifunctional thermoelectric systems sulfurization thermoelectric membrane

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Mutual Retinex: Combining Transformer and CNN for Image Enhancement

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IEEE Transactions on Emerging Topics in Computational Intelligence 2024年第3期8卷 2240-2252页

作者： Jiang, Kui Wang, Qiong An, Zhaoyi Wang, Zheng Zhang, Cong Lin, Chia-Wen Harbin Institute of Technology School of Computer Science and Technology Harbin150001 China Wuhan University National Engineering Research Center for Multimedia Software School of Computer Science Wuhan430072 China Wuhan Polytechnic University School of Mathematics and Computer Science Wuhan430024 China National Tsing Hua University Department of Electrical Engineering Institute of Communications Engineering Hsinchu30013 Taiwan

Images captured in low-light or underwater environments are often accompanied by significant degradation, which can negatively impact the quality and performance of downstream tasks. While convolutional neural networks (CNNs) and Transformer architectures have made significant progress in computer vision tasks, there are few efforts to harmonize them into a more concise framework for enhancing such images. To this end, this study proposes to aggregate the individual capability of self-attention (SA) and CNNs for accurate perturbation removal while preserving background contents. Based on this, we carry forward a Retinex-based framework, dubbed as Mutual Retinex, where a two-branch structure is designed to characterize the specific knowledge of reflectance and illumination components while removing the perturbation. To maximize its potential, Mutual Retinex is equipped with a new mutual learning mechanism, involving an elaborately designed mutual representation module (MRM). In MRM, the complementary information between reflectance and illumination components are encoded and used to refine each other. Through the complementary learning via the mutual representation, the enhanced results generated by our model exhibit superior color consistency and naturalness. Extensive experiments have shown the significant superiority of our mutual learning based method over thirteen competitors on the low-light task and ten methods on the underwater image enhancement task. In particular, our proposed Mutual Retinex respectively surpasses the state-of-the-art method MIRNet-v2 by 0.90 dB and 2.46 dB in PSNR on the LOL 1000 and FIVEK datasets, while with only 19.8% model parameters. © 2017 IEEE.

关键词： Image enhancement

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Reviewing metal supported solid oxide fuel cells for efficient electricity generation with biofuels for mobility

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Journal of Energy Chemistry 2025年第04期103卷 106-153页

作者： Fábio C.Antunes Jo?o P.J.de Oliveira Ricardo S.de Abreu Thiago Dias Bruno B.N.S.Brand?o Josué M.Gon?alves Josimar Ribeiro Julian Hunt Hudson Zanin Gustavo Doubek School of Electrical and Computer Engineering University of Campinas School of Food Engineering University of Campinas School of Chemical Engineering University of Campinas Mackenzie Institute for Research in Graphene and Nanotechnologies (Mack Graphe) Mackenzie Presbyterian Institute Electrochemistry Research and Development Laboratory (LPDE) Department of Chemistry Center of Exact Sciences Federal University of Espírito Santo Biological and Environmental Science and Engineering Division King Abdullah University of Science and Technology

Metal-Supported Solid Oxide Fuel Cells（MS-SOFCs） hold significant potential for driving the energy *** electrochemical devices represent the most advanced generation of Solid Oxide Fuel Cell（SOFCs） and can pave the way for mass production and wider adoption than Proton Exchange Membrane Fuel Cells（PEMFCs） due to their fuel flexibility,higher power density and the absence of noble metals in the fabrication *** review examines the state-of-the-art of SOFCs and MS-SOFCs,presenting perspectives and research directions for these key technological devices,highlighting novel materials,techniques,architectures,devices,and degradation mechanisms to address current challenges and future *** such as infiltration/impregnation,ex-solution catalyst synthesis,and the use of a pre-catalytic reformer layer are discussed as their impact on efficiency and prolonged *** concepts are also described and connected with well-dispersed nano particles,hindrance of coarsening,and an increased number of Triple Phase Boundaries（TPBs）.This review also describes the synergistic use of reformers with MS-SOFCs to compose solutions in energy generation from readily available ***,the End-of-Life（EoL）,recycling,and life-cycle assessments（LCAs） of the Fuel Cell Hybrid Electric Vehicles（FCHEVs） were *** comparing Fuel Cell Electric Vehicles（FCEVs）equipped with（PEMFCs） and FCHEVs equipped with MS-SOFCs,both powered with hydrogen（H2） generated by different routes were *** review aims to provide valuable insights into these key technological devices,emphasizing the importance of robust research and development to enhance performance and lifespan while reducing costs and environmental impact.

关键词： Biofuel Fuel cell Hybrid electric vehicle Metal-supported solid oxide fuel cell Powertrain systems Reform

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advanced In situ Characterization Techniques for Photocatalysis

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Chemical research in Chinese Universities 2025年第2期41卷 237-253页

作者： HU Miao Jumanah ALHARBI ZHANG Huabin Hassan S.AI QAHTANI FENG Chengyang Center for Renewable Energy and Storage Technologies(CREST) Physical Science and Engineering DivisionKing Abdullah University of Science and TechnologyThuwal 23955-6900Saudi Arabia KAUST Catalysis Center(KCC) King Abdullah University of Science and Technology(KAUST)Thuwal 23955-6900Saudi Arabia EXPEC Advanced Research Centre Saudi AramcoDhahran 31311SaudiArabia

Photocatalysis is a promising approach for solar energy conversion and environmental remediation, which has garnered increasing attention. advanced in situ characterization techniques enable real-time observation of dynamic changes in catalyst structure, charge transfer, and surface species during photocatalytic reactions, which is crucial for understanding the relationship between photocatalyst structure and activity. This review summarizes the main applications of in situ characterization techniques in photocatalysis, discusses their contributions to optimizing photocatalyst performance for enhanced solar energy conversion and environmental applications, provides guidance for designing in situ experiments to understand catalytic mechanisms, and presents an outlook on the future development of in situ characterization techniques in photocatalysis.

关键词： In situ characterization Photocatalysis Real-time observation

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Precision spectral line-resolution to classify greenhouse gas species in broadband mid-infrared sensing

Precision spectral line-resolution to classify greenhouse ga...

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2023 Conference on Lasers and Electro-Optics, CLEO 2023

作者： Alexis, Al Juracka, Zayna Juracka, Zakaria Khan, Amir Division of Physics Engineering Mathematics and Computer Science Optical Science Center for Applied Research Delaware State University DoverDE19901 United States

ISBN: (纸本)9781957171258

We present a novel methodology to classify greenhouse gas species by investigating the structural complexity of broadband overlapping molecular lines in the spectral region of 7.0 μm to 8.0 urn. The structural information is classified by resolving peaks and zero crossings by adaptive learning methods. © Optica Publishing Group 2023 © 2023 The Author(s)

关键词： Greenhouse gases

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Bifunctionally Hydrophobic MOF-Supported Platinum Catalyst for the Removal of Ultralow Concentration Hydrogen Isotope

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Energy & Environmental Materials 2025年第2期8卷 144-154页

作者： Huiryung Heo Jeong-un Jang Euna Jeong Hyung-Ju Kim Young Jin Kim Chan Woo Park Jungseob So Dong-Yeun Koh Department of Chemical and Biomolecular Engineering Korea Advanced Institute of Science and Technology Decommissioning Technology Division Korea Atomic Energy Research Institute Department of Chemical Engineering and Applied Chemistry Chungnam National University Department of Environmental Engineering Kyungpook National University CO2 & Energy Research Center Korea Research Institute of Chemical Technology (KRICT) Saudi Aramco-KAIST CO2 Management Center

Water often presents significant challenges in catalysts by deactivating active sites,poisoning the reaction,and even degrading composite *** challenges are amplified when the water participates as a reactant and is fed as a liquid phase,such as trickle bed-type reactors in a hydrogen-water isotope exchange（HIE） *** key balance in such multiphase reactions is the precise control of catalyst design to repel bulk liquid water while diffusing water ***,a platinum-incorporated metal-organic framework（MIL-101） based bifunctional hydrophobic catalyst functionalized with long alkyl chains(C12,dodecylamine) and further manufactured with poly（vinylidene fluoride）,Pt@MIL-101-12/PVDF,has been developed which can show dramatically improved catalytic activity under multi-phase reactions involving hydrogen gas and liquid ***@MIL-101-12/PVDF demonstrates enhanced macroscopic water-blocking properties,with a notable reduction of over 65% in water adsorption capacity and newly introduced liquid water *** exhibiting a negligible increase in mass transfer resistance,i.e.,bifunctional *** catalytic activity,evaluated via HIE reaction,and its durability underscore the impact of bifunctional *** situ DRIFTS analysis elucidates water adsorption/desorption dynamics within the catalyst composite,highlighting reinforced water diffusion at the microscopic level,affirming the catalyst's bifunctionality in different length *** demonstrated radiation resistance,Pt@MIL-101-12/PVDF emerges as a promising candidate for isotope exchange reactions.

关键词： bifunctional hydrophobic catalyst hydrogen-water isotope exchange hydrophobic modification metal–organic framework tritium removal

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Superconductivity of metastable dihydrides at ambient pressure

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npj Computational Materials 2024年第1期10卷 1450-1455页

作者： Heejung Kim Ina Park J.H.Shim D.Y.Kim Department of MPPHC-CPM Max Plank POSTECH/Korea Research InitiativePohang37673Korea Center for Theoretical Physics Seoul National University Seoul08826Korea Department of Chemistry POSTECHPohang37673Korea Center for High Pressure Science and Technology Advanced Research Shanghai201203China Division of Advanced Nuclear Engineering POSTECHPohang37673Korea

Hydrogen in metals is a significant research area with far-reaching implications,encompassing diverse fields such as hydrogen storage,metal-insulator transitions,and the recently emerging phenomenon of room-temperature superconductivity under high *** atoms pose challenges in experiments as they are nearly invisible,and they are considered within ideal crystalline structures in theoretical predictions,which hampers research on the formation of metastable hydrides.

关键词： hydrides metastable crystalline

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Deciphering urban traffic impacts on air quality by deep learning and emission inventory

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Journal of Environmental sciences 2023年第2期124卷 745-757页

作者： Wenjie Du Lianliang Chen Haoran Wang Ziyang Shan Zhengyang Zhou Wenwei Li Yang Wang School of Software Engineering University of Science and Technology of ChinaHefei 230026China Suzhou Institute for Advanced Research University of Science and Technology of ChinaSuzhou 215123China Alibaba Inc. Hangzhou 310052China School of Computer Science and Technology University of Science and Technology of ChinaHefei 230026China CAS Key Laboratory of Urban Pollutant Conversion Department of environmental science and EngineeringUniversity of Science and Technology of ChinaHefei 230026China USTC-CityU Joint Advanced Research Center Suzhou 215123China

Air pollution is a major obstacle to future sustainability,and traffic pollution has become a large drag on the sustainable developments of future ***,combined with the large volume of real-time monitoring data,we propose a deep learning model,iDeepAir,to predict surface-level PM2.5 concentration in Shanghai megacity and link with MEIC emission inventory creatively to decipher urban traffic impacts on air *** model exhibits high-fidelity in reproducing pollutant concentrations and reduces the MAE from 25.355μg/m^(3) to 12.283μg/m^(3) compared with other *** identifies the ranking of major factors,local meteorological conditions have become a nonnegligible ***-wise relevance propagation(LRP)is used here to enhance the interpretability of the model and we visualize and analyze the reasons for the different correlation between traffic density and PM_(2.5) concentration in various regions of ***,As the strict and effective industrial emission reduction measurements implementing in China,the contribution of urban traffic to PM_(2.5) formation calculated by combining MEIC emission inventory and LRP is gradually increasing from 18.03%in 2011 to 24.37% in 2017 in Shanghai,and the impact of traffic emissions would be ever-prominent in 2030 according to our *** also infer that the promotion of vehicular electrification would achieve further alleviation of PM_(2.5) about 8.45% by 2030 *** insights are of great significance to provide the decision-making basis for accurate and high-efficient traffic management and urban pollution control,and eventually benefit people’s lives and high-quality sustainable developments of cities.

关键词： PM_(2.5)concentration forecast Traffic emissions Deep learning Attention mechanism New energy vehicles

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Interfacial Tension of Hydrogenated and De-Hydrogenated Organic Hydrogen Carriers: Implications for Hydrogen Geological Storage

Interfacial Tension of Hydrogenated and De-Hydrogenated Orga...

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2024 Abu Dhabi International Petroleum Exhibition and Conference, ADIPEC 2024

作者： Ali, Muhammad Rawat, Narendra Alsubhi, Mutaz Alissa, Faisal Ghamdi, Abdulwahab Hoteit, Hussein Physical Science and Engineering Division King Abdullah University of Science and Technology Thuwal Saudi Arabia Exploration and Petroleum Engineering Center-Advanced Research Center Saudi Aramco Thuwal Saudi Arabia

ISBN: (纸本)9781959025498

Organic Hydrogen Carriers (OHCs) have emerged as a promising solution for efficient hydrogen storage, addressing one of the key challenges towards enabling hydrogen economy. As the demand for renewable energy and decarbonization intensifies, the need for reliable and efficient large-scale storage and hydrogen transport becomes increasingly crucial. OHC technology offers a promising approach that enables hydrogen to be geologically stored in a liquid form, allowing for safe and convenient handling, distribution, and utilization. The ability of subsurface formations to store geologically is determined by their wetting properties and interfacial forces. These factors significantly impact residual saturations, fluid flow dynamics, injection, withdrawal rates, and containment reliability. To our knowledge, literature has yet to report these properties for most OHCs at natural geological physio-thermal conditions. Therefore, we have measured the interfacial tension of methyl-cyclohexane (MCH;hydrogenated OHC) and toluene (dehydrogenated MCH) in the presence of one molar NaCl solution at natural physio-thermal geological conditions (T = 298-343 K and P = 1-20 MPa). MCH and toluene were used as a surrounding phase, and one molar NaCl was used as a drop phase. The results suggest that IFT values decrease with temperature and increase with pressure. This is caused by the increased intermolecular interaction of one liquid to the other liquid molecule due to pressure increase, thus increasing the IFT. Similarly, temperature reduces the density of both liquids, causing a reduction in IFT. However, MCH has higher IFT values than the toluene at pressure and temperature conditions similar to the toluene. This is due to the difference in density of a similar compound's hydrogenated and de-hydrogenated form. For instance, at 10 MPa and 323 K, the IFT value for MCH was 54 mN/m (density = 0.7599 g/ml) compared to the toluene = 38 mN/m (density = 0.84762 g/ml). Our findings pave the way

关键词： Sodium chloride

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