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Vehicle tracking by detection in UAV aerial video

Science China(Information Sciences) 2019年第2期62卷 192-194页

作者： Shaohua LIU Suqin WANG Wenhao SHI Haibo LIU Zhaoxin LI Tianlu MAO School of Electronic Engineering University of Beijing Posts and Telecommunications Institute of Electronic and Information Engineering in Guangdong University of Electronic Science and Technology of China School of Control and Computer Engineering North China Electric Power University Beijing Key Lab of Mobile Computing and Pervasive Device Institute of Computing TechnologyChinese Academy of Sciences

With the maturity and popularity of UAV (unmanned aerial vehicle) technology [1–3], UAV video is becoming an effective supplement to the fixed monitoring video [4, 5]. In the aspect of traffic information acquisition, the advantages of UAV are obvious. UAV can fly not only between the buildings, but also on the freeway, and even into the tunnel, showing the unique flexibility and maneuverability. UAV can control its hovering position artificially and has a high angle shot to get more comprehensive and clearer video *** some emergent situation, such as evacuation caused by typhoons and earthquakes, there are lots of countryside areas without fixed road monitoring cameras. UAV is undoubtedly the best choice to

关键词： UAV Vehicle tracking by detection in UAV aerial video

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Catalytic ozonation for the removal of methyl orange in water using iron-coated Moringa oleifera seeds husk

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Process Safety and Environmental Protection 2025年 199卷

作者： Ikhlaq, Amir Nawab, Hira Yasar, Abdullah Naeem, Asma Akram, Asia Qazi, Umair Yaqub Qi, Fei Javaid, Rahat Institute of Environmental Engineering University of Engineering and Technology Lahore54890 Pakistan Sustainable Development Study Center Government College University Lahore Pakistan Department of Chemistry University of Management and Technology Johar Town Lahore54770 Pakistan Department of Chemistry Benedict College 1600 Harden Street ColumbiaSC29204 United States Beijing Key Lab for Source Control Technology of Water Pollution College of Environmental Science and Engineering Beijing Forestry University Beijing100083 China Molinaroli College of Engineering and Computing University of South Carolina ColumbiaSC29208 United States

In the current study, a novel agricultural-based green catalyst, i.e., iron-coated Moringa oleifera seeds husk (Fe-MOSH), was synthesized for its innovative usage in the catalytic ozonation process (Fe-MOSH/O3) to remove methyl orange (MO) containing wastewater. Fe-MOSH was characterized by FTIR, BET, and SEM-EDS. Fe-MOSH was then used for the treatment of MO in a catalytic ozonation reactor, and its performance was optimized concerning several operational parameters, i.e., reaction time, pH, ozone dosage, and catalyst dose. The results demonstrated that Fe-MOSH/O3 was much more efficient than the simple ozonation process at removing MO, as the removal efficiency elevated from 60 % to 85 % under neutral pH, and an improvement in the reduction of COD from 73 % to 86 %. The radical scavenger effect revealed the leading role of hydroxyl radicals in dye degradation by decreasing the removal efficiency of MO from 60 % and 85–33 % and 63 % in the ozonation and Fe-MOSH/O3 processes, respectively. The catalyst's stability was also demonstrated by achieving 79 % MO removal even after the 3rd run of reuse, i.e., only a 7.5 % reduction in activity. Therefore, the results exhibit that the unique Fe-MOSH/O3 process is highly efficient for the removal of MO in water, with positive implications for industrial applications. © 2025

关键词： Ozonization

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Accurate Robotic Grasp Detection with Angular Label Smoothing

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Journal of Computer Science & Technology 2023年第5期38卷 1149-1161页

作者：石敏路昊李兆歆朱登明王兆其 School of Control and Computer Engineering North China Electric Power UniversityBeijing 102206China Institute of Computing Technology Chinese Academy of SciencesBeijing 100190China

Grasp detection is a visual recognition task where the robot makes use of its sensors to detect graspable objects in its *** the steady progress in robotic grasping,it is still difficult to achieve both real-time and high accuracy grasping *** this paper,we propose a real-time robotic grasp detection method,which can accurately predict potential grasp for parallel-plate robotic grippers using RGB *** work employs an end-to-end convolutional neural network which consists of a feature descriptor and a grasp *** for the first time,we add an attention mechanism to the grasp detection task,which enables the network to focus on grasp regions rather than ***,we present an angular label smoothing strategy in our grasp detection method to enhance the fault tolerance of the *** quantitatively and qualitatively evaluate our grasp detection method from different aspects on the public Cornell dataset and Jacquard *** experiments demonstrate that our grasp detection method achieves superior performance to the state-of-the-art *** particular,our grasp detection method ranked first on both the Cornell dataset and the Jacquard dataset,giving rise to the accuracy of 98.9%and 95.6%,respectively at realtime calculation speed.

关键词： robotic grasp detection attention mechanism angular label smoothing anchor box deep learning

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Generating diverse clothed 3D human animations via a generative model

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Computational Visual Media 2024年第2期10卷 261-277页

作者： Min Shi Wenke Feng Lin Gao Dengming Zhu School of Control and Computer Engineering North China Electric Power UniversityBeijing 102206China Institute of Computing Technology Chinese Academy of SciencesBeijing 100190China

Data-driven garment animation is a current topic of interest in the computer graphics *** approaches generally establish the mapping between a single human pose or a temporal pose sequence,and garment deformation,but it is difficult to quickly generate diverse clothed human *** address this problem with a method to automatically synthesize dressed human animations with temporal consistency from a specified human motion *** the heart of our method is a twostage ***,we first learn a latent space encoding the sequence-level distribution of human motions utilizing a transformer-based conditional variational autoencoder(Transformer-CVAE).Then a garment simulator synthesizes dynamic garment shapes using a transformer encoder-decoder *** the learned latent space comes from varied human motions,our method can generate a variety of styles of motions given a specific motion *** means of a novel beginning of sequence(BOS)learning strategy and a self-supervised refinement procedure,our garment simulator is capable of efficiently synthesizing garment deformation sequences corresponding to the generated human motions while maintaining temporal and spatial *** verify our ideas *** is the first generative model that directly dresses human animation.

关键词： Transformer garment animation conditional variational autoencoder(CVAE) computer graphics

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Formal modelling of list based dynamic memory allocators

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Science China(Information Sciences) 2018年第12期61卷 81-96页

作者： Bin FANG Mihaela SIGHIREANU Geguang PU Wen SU Jean-Raymond ABRIAL Mengfei YANG Lei QIAO Shanghai Key Laboratory of Trustworthy Computing East China Normal University IRIF University Paris Diderot and CNRS School of Computer Engineering and Science Shanghai University Marseille Beijing Institute of Control Engineering

Existing implementations of dynamic memory allocators(DMA) employ a large spectrum of policies and techniques. The formal specifications of these techniques are quite complicated in isolation and very complex when combined. Therefore, the formal reasoning on a specific DMA implementation is difficult for automatic tools and mostly single-use. This paper proposes a solution to this problem by providing formal models for a full class of DMA, the class using various kinds of lists to manage the memory blocks controlled by the DMA. To obtain reusable formal models and tractable formal reasoning, we organise these models in a hierarchy ranked by refinement relations. We prove the soundness of models and the refinement relations using the modeling framework Event-B and the theorem prover Rodin. We demonstrate that our hierarchy is a basis for an algorithm theory for list based DMA: it abstracts various existing implementations of DMA and leads to new DMA implementations. The applications of this formalisation include model-based code generation, testing, and static analysis.

关键词： dynamic memory allocators formal methods refinement Event-B Rodin model-based design

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EJB based intelligent agents framework

EJB based intelligent agents framework

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6th IASTED International Conference on Software engineering and Applications, SEA 2002

作者： Vidaković, Milan Konjović, Zora Computing and Control Institute Faculty of Engineering University of Novi Sad Serbia

ISBN: (纸本)0889863237

Intelligent agents play an important role in software engineering regarding their intensive employment in search and processing of information as well as in complex software products, tools and systems. This paper suggests a pluggable architecture of the hierarchical intelligent agents system with communication based on KQML. This framework supports pluggable software managers that are dealing with a particular job. Also, the problem of implementation techniques and environment for intelligent agents is considered. The EJB based implementation is proposed.

关键词： Search engines

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Transverse momentum spectra and angular correlations in -hadron production in relativistic heavy-ion collisions

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The European Physical Journal Plus 2025年第1期140卷 1-20页

作者： Gao, Zhan Chen, Lin Hu, Peng-Hui Xie, Man Zhang, Han-Zhong Key Laboratory of Quark and Lepton Physics (MOE) and Institute of Particle Physics Central China Normal University Wuhan China School of Science and Engineering The Chinese University of Hong Kong Shenzhen China University of Science and Technology of China Hefei People’s Republic of China Key Laboratory of Atomic and Subatomic Structure and Quantum Control (MOE) Guangdong Basic Research Center of Excellence for Structure and Fundamental Interactions of Matter Institute of Quantum Matter South China Normal University Guangzhou China Guangdong-Hong Kong Joint Laboratory of Quantum Matter Guangdong Provincial Key Laboratory of Nuclear Science Southern Nuclear Science Computing Center South China Normal University Guangzhou China

We carry out a detailed study of medium modifications on transverse momentum spectra and angular correlations between a large transverse momentum hadron and a $$Z/\gamma$$ trigger in relativistic heavy-ion collisions within a perturbative QCD parton model improved by the Sudakov resummation technique. The total energy loss of a hard parton propagating inside the medium is employed to modify the fragmentation function, while the medium-induced transverse momentum broadening is included in the resummation approach, and both of them are related to the jet transport parameter and obtained by the higher-twist formalism. We obtain good agreements with the existing data on transverse momentum and azimuthal angular correlations for the $$Z/\gamma$$ -hadron pairs in pp and AA collisions and predict the correlations for the $$\gamma$$ -hadron in central PbPb collisions at 5.02 TeV. The numerical analyses for the $$Z/\gamma$$ -hadron in central PbPb collisions show that the normalized angular distribution is decorrelated due to the medium-induced transverse momentum broadening; however, the angular correlation is enhanced due to the parton energy loss, namely anti-broadening. The observed modification of the angular correlation is a result of the competition between the broadening and the anti-broadening. This work provides a reliable theoretical tool for a comprehensive and precise study of jet quenching in relativistic heavy-ion collisions.

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Synergistic enhancement of memristive behavior and self-rectifying effect in MnO2 based memristor by ions doping method

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Applied Materials Today 2025年 44卷

作者： Yang, Bo Cao, Zelin Sun, Bai Gao, Kaikai Wang, Mengna Zhou, Guangdong Lv, Jian Luo, Sihai Chen, Xiaoliang Li, Xiangming Shao, Jinyou Frontier Institute of Science and Technology and Interdisciplinary Research Center of Frontier Science and Technology Xi'an Jiaotong University Shaanxi Xi'an710049 China Micro-and Nano-technology Research Center State Key Laboratory for Manufacturing Systems Engineering Xi'an Jiaotong University Shaanxi Xi'an710049 China College of Artificial Intelligence Brain-inspired Computing & Intelligent Control of Chongqing Key Lab Southwest University Chongqing400715 China

As one of the most promising candidates to replace the traditional von Neumann architecture, memristor shows considerable potential in neuromorphic computing, neural networks, brain-like chips, artificial intelligence, and information storage. However, its performance in terms of ultra-high stability, scalability, and extended switching windows has yet to be broken through, limiting its practical applications. In this work, it is investigated in detail the effect of Cu2+/Zn2+ ions doping on the memristive performance in the Ag/δ-MnO2/Ti devices with three different doping concentrations. We found that the optimal doping concentration can significantly improve the stability and resistance switching ratio of the device. Through first principles analysis, it is further confirmed that the main mechanism for the improvement in device switching ratio is the reduction of MnO bandgap caused by Cu2+/Zn2+ ions doping. Finally, we proposed that the formation of CuO/ZnO buffer layer through the interaction between Cu2+/Zn2+ ions and O2- ions is the key factor leading to the transition of threshold voltage from self-rectification to memristive behavior. Therefore, this work provides an in-deep understanding of the theory of metal ions doping in memristive device, which adds a new strategy to improve the memristive performance of the device in neuromorphic applications. © 2025 Elsevier Ltd

关键词： Electric rectifiers

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Binding of the three-hadron DD*K system from the lattice effective field theory

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Physical Review D 2025年第3期111卷 036002-036002页

作者： Zhenyu Zhang Xin-Yue Hu Guangzhao He Jun Liu Jia-Ai Shi Bing-Nan Lu Qian Wang Guangdong-Hong Kong Joint Laboratory of Quantum Matter Guangdong Provincial Key Laboratory of Nuclear Science Southern Nuclear Science Computing Center South China Normal University Guangzhou 510006 China Key Laboratory of Atomic and Subatomic Structure and Quantum Control (MOE) Guangdong Basic Research Center of Excellence for Structure and Fundamental Interactions of Matter Institute of Quantum Matter South China Normal University Guangzhou 510006 China Graduate School of China Academy of Engineering Physics Beijing 100193 China Southern Center for Nuclear-Science Theory (SCNT) Institute of Modern Physics Chinese Academy of Sciences Huizhou 516000 Guangdong Province China

We employ the nuclear lattice effective field theory (NLEFT), an efficient tool for nuclear ab initio calculations, to solve the asymmetric multihadron systems. We take the DD*K three-body system as an illustration to demonstrate the capability of the method. Here the two-body chiral interactions between D, D*, and K are regulated with a soft lattice regulator and calibrated with the binding energies of the Tcc+, Ds0*(2317), and Ds1(2460) molecular states. We then calculate the three-body binding energy using the NLEFT and analyze the systematic uncertainties due to the finite volume effects, the sliding cutoff, and the leading-order three-body forces. Even when the three-body interaction is repulsive (even as large as the infinite repulsive interaction), the three-body system has a bound state unambiguously with binding energy no larger than the Ds1(2460)D threshold. To check the renormalization group invariance of our framework, we extract the first excited state. We find that when the ground state is fixed, the first excited states with various cutoffs coincide with each other when the cubic size goes larger. In addition, the standard angular momentum and parity projection technique is implemented for the quantum numbers of the ground and excited states. We find that both of them are S-wave states with quantum number JP=1−. Because the three-body state contains two charm quarks, it is easier to be detected in the Large Hadron Collider.

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Landscape and climatic drivers of dengue fever in Lao People’s Democratic Republic and Thailand: a retrospective analysis during 2002–2019

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Landscape Ecology 2025年第5期40卷 1-18页

作者： Zafar, Sumaira Rocklöv, Joacim Paul, Richard E. Shipin, Oleg Rahman, Md. Siddikur Pientong, Chamsai Aromseree, Sirinart Poolphol, Petchaboon Mayxay, Mayfong Pongvongsa, Tiengkham Vannavong, Nanthasane Overgaard, Hans J. Haque, Ubydul Institute of Nutrition Mahidol University Nakhon Pathom Thailand Heidelberg Institute of Global Health & the Interdisciplinary Centre for Scientific Computing Heidelberg University Heidelberg Germany Department of Public Health and Clinical Medicine Umeå University Umeå 90187 Sweden Ecology and Emergence of Arthropod-Borne Pathogens Unit Institut Pasteur CNRS UMR2000 Université Paris Cité Paris 75015 France Department of Environmental Engineering and Management Asian Institute of Technology Khlong Luang Thailand Department of Statistics Begum Rokeya University Rangpur Bangladesh Department of Microbiology Faculty of Medicine Khon Kaen University Khon Kaen Thailand The Office of Disease Prevention and Control Region 10(th) Ubon Ratchathani 34000 Thailand Institute of Research and Education Development (IRED) University of Health Sciences Ministry of Health Vientiane Laos Microbiology Laboratory Lao-Oxford-Mahosot Hospital-Welcome Trust Research Unit (LOMWRU) Mahosot Hospital Vientiane Laos Centre for Tropical Medicine and Global Health University of Oxford Oxford United Kingdom Saw Swee Hock School of Public Health National University of Singapore Singapore Singapore Savannakhet Provincial Health Department Savannakhet Province Savannakhet Laos Champasak Provincial Health Office Pakse Laos Faculty of Science and Technology Norwegian University of Life Sciences P.O. Box 5003 Ås Norway Rutgers Global Health Institute Piscataway NJ United States Department of Biostatistics and Epidemiology School of Public Health Rutgers University Newark United States

Context: Dengue is a major public health threat in the Lao People’s Democratic Republic (Laos) and Thailand. Dengue transmission is ecologically complex. Concurrently identifying both climate and landscape-based risk factors for dengue virus transmission is necessary to improve dengue prevention and control efforts in Laos and Thailand. Objectives: The objective of this study was to determine how changes in climate (temperature and rainfall), and land use (e.g. built-up areas, agricultural crops, fruit orchards, rubber plantations) and land cover (e.g. evergreen and deciduous forests, permanent and temporary wetlands) affect dengue risk in four provinces in southern Laos and north-eastern Thailand during 2002 to 2019. Methods: A conditional autoregressive Bayesian spatiotemporal modeling framework was used to analyze the risk of dengue by spatiotemporal variations in land use and land cover (LULC) and climatic parameters. Results: The average annual temperatures in the study area increased by 0.44–0.94 °C during the study period. The model indicated that an increase of 1 °C in weekly average temperatures (up to a 29 °C threshold level) increased the average dengue risk by up to 24% in the two Lao provinces and 18.9% in the two Thai provinces. The model suggested that a rainfall increase of 1 mm up to 60 mm increased dengue risk by 1.8–3.2%. A 0.6–1.6% increase in built-up land use increased dengue risk by 1.8–6.9%. Built-up areas and rubber plantations were positively associated with dengue in the Ubon Ratchathani province of Thailand, while wetlands were negatively associated with dengue cases in the Savannakhet province of Laos. Conclusions: Changes in dengue risk were clearly related to increases in rainfall and temperature as well as changes in LULC in both Laos and Thailand. These insights may inform community-based dengue control activities by targeting geographically localized areas (microgeographic scale) to deploy dengue control activities more effectively

关键词： Bayesian Climate change Dengue Land use and landcover Vectors

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