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Empowering smart city situational awareness via big mobile data

Frontiers of Information Technology & Electronic Engineering 2024年第2期25卷 286-307页

作者： Zhiguang SHAN Lei SHI Bo LI Yanqiang ZHANG Xiatian ZHANG Wei CHEN State Information Center Beijing100045China School of Computer Science and Engineering Beihang UniversityBeijing100191China Zhongguancun Laboratory Beijing100094China Beijing Tendcloud Tianxia Technology Co. Ltd.Beijing100027China The State key Lab of CAd&CG Zhejiang UniversityHangzhou310027China

Smart city situational awareness has recently emerged as a hot topic in research societies,industries,and governments because of its potential to integrate cutting-edge information technology and solve urgent challenges that modern cities *** example,in the latest five-year plan,the Chinese government has highlighted the demand to empower smart city management with new technologies such as big data and Internet of Things,for which situational awareness is normally the crucial first *** traditional static surveillance data on cities have been available for decades,this review reports a type of relatively new yet highly important urban data source,i.e.,the big mobile data collected by devices with various levels of mobility representing the movement and distribution of public and private agents in the *** especially focus on smart city situational awareness enabled by synthesizing the localization of hundreds of thousands of mobile software Apps using the Global Positioning System(GPS).This technique enjoys advantages such as a large penetration rate(∼50%urban population covered),uniform spatiotemporal coverage,and high localization *** first discuss the pragmatic requirements for smart city situational awareness and the challenges *** we introduce two suites of empowering technologies that help fulfill the requirements of(1)cybersecurity insurance for smart cities and(2)spatiotemporal modeling and visualization for situational awareness,both via big mobile *** main contributions of this review lie in the description of a comprehensive technological framework for smart city situational awareness and the demonstration of its feasibility via real-world applications.

关键词： Smart city Mobile data Situational awareness

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disparity estimation for multi-scale multi-sensor fusion

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Journal of Systems Engineering and Electronics 2024年第2期35卷 259-274页

作者： SUN Guoliang PEI Shanshan LONG Qian ZHENG Sifa YANG rui Suzhou Automotive research Institute Tsinghua UniversitySuzhou 215000China Beijing Smarter Eye Technology Co. Ltd.Beijing 100023China College of Artifical Intelligence Tianjin University of Science and TechnologyTianjin 300457China State key Laboratory of Automotive Safety and Energy Tsinghua UniversityBeijing 100084China department of Precision Instrument Tsinghua UniversityBeijing 100084China

The perception module of advanced driver assistance systems plays a vital *** schemes often use a single sensor for data processing and environmental perception or adopt the information processing results of various sensors for the fusion of the detection *** paper proposes a multi-scale and multi-sensor data fusion strategy in the front end of perception and accomplishes a multi-sensor function disparity map generation scheme.A binocular stereo vision sensor composed of two cameras and a light deterction and ranging(LidAr)sensor is used to jointly perceive the environment,and a multi-scale fusion scheme is employed to improve the accuracy of the disparity *** solution not only has the advantages of dense perception of binocular stereo vision sensors but also considers the perception accuracy of LidAr *** demonstrate that the multi-scale multi-sensor scheme proposed in this paper significantly improves disparity map estimation.

关键词： stereo vision light deterction and ranging(LidAr) multi-sensor fusion multi-scale fusion disparity map

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Prediction model for corrosion rate of low-alloy steels under atmospheric conditions using machine learning algorithms

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International Journal of Minerals,Metallurgy and Materials 2024年第2期31卷 337-350页

作者： Jingou Kuang Zhilin Long School of Civil Engineering Xiangtan UniversityXiangtan 411105China

This work constructed a machine learning(ML)model to predict the atmospheric corrosion rate of low-alloy steels(LAS).The material properties of LAS,environmental factors,and exposure time were used as the input,while the corrosion rate as the output.6 dif-ferent ML algorithms were used to construct the proposed *** optimization and filtering,the eXtreme gradient boosting(XG-Boost)model exhibited good corrosion rate prediction *** features of material properties were then transformed into atomic and physical features using the proposed property transformation approach,and the dominant descriptors that affected the corrosion rate were filtered using the recursive feature elimination(rFE)as well as XGBoost *** established ML models exhibited better predic-tion performance and generalization ability via property transformation *** addition,the SHapley additive explanations(SHAP)method was applied to analyze the relationship between the descriptors and corrosion *** results showed that the property transformation model could effectively help with analyzing the corrosion behavior,thereby significantly improving the generalization ability of corrosion rate prediction models.

关键词： machine learning low-alloy steel atmospheric corrosion prediction corrosion rate feature fusion

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Establishment of a Multiplex detection Method for Common Bacteria in Blood Based on Human Mannan-Binding Lectin Protein-Conjugated Magnetic Bead Enrichment Combined with recombinase-Aided PCr Technology

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Biomedical and Environmental Sciences 2024年第4期37卷 387-398页

作者： ZHAO Zi Jin CHEN Xiao Ping HUA Shao Wei LI Feng Yu ZHAO Meng XING Chen Hao WANG Jie TIAN Feng Yu ZHANG rui Qing LYU Xiao Na HAN Zhi Qiang WANG Yu Xin LI Hong Yi SHEN Xin Xin MA Xue Jun TIE Yan Qing Graduate School Hebei North UniversityZhangjiakou 075000HebeiChina department of Clinical Laboratory Hebei General HospitalShijiazhuang 050051HebeiChina national key Laboratory of Intelligent Tracking and Forecasting for Infectious diseases NHC Key Laboratory of Medical Virology and Viral DiseasesNational Institute for Viral Disease Control and PreventionChinese Center for Disease Control and PreventionBeijing 102206China national Institute for Communicable disease Control and Prevention Chinese Center for Disease Control and PreventionBeijing 102206China department of Clinical Laboratory Pathology diagnostic Center Shiyan General HospitalShiyan 442000HubeiChina Graduate School Hebei Medical University Shijiazhuang 050031HebeiChina

Objective recombinase-aided polymerase chain reaction(rAP)is a sensitive,single-tube,two-stage nucleic acid amplification *** study aimed to develop an assay that can be used for the early diagnosis of three types of bacteremia caused by Staphylococcus aureus(SA),Pseudomonas aeruginosa(PA),and Acinetobacter baumannii(AB)in the bloodstream based on recombinant human mannanbinding lectin protein(M1 protein)-conjugated magnetic bead(M1 bead)enrichment of pathogens combined with *** recombinant plasmids were used to evaluate the assay *** blood influenza bacteria were used for the specific *** and clinical plasma samples were enriched with M1 beads and then subjected to multiple recombinase-aided PCr(M-rAP)and quantitative PCr(qPCr)*** analysis was used to evaluate the consistency between the two *** The M-rAP method had sensitivity rates of 1,10,and 1 copies/μL for the detection of SA,PA,and AB plasmids,respectively,without cross-reaction to other bacterial *** M-rAP assay obtained results ford within 4 h,with higher sensitivity than qPCr.M-rAP and qPCr for SA,PA,and AB yielded Kappa values of 0.839,0.815,and 0.856,respectively(PrAP assay for SA,PA,and AB in blood samples utilizing M1 bead enrichment has been developed and can be potentially used for the early detection of bacteremia.

关键词： Staphylococcus aureus Pseudomonas aeruginosa Acinetobacter baumannii Human Mannan-binding lectin protein Bloodstream infection recombinase-aided PCr assay Multiple detection

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Chromosome-level genome assembly of the Asian citrus psyllid,diaphorina citri

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Insect Science 2024年第1期31卷 13-27页

作者： Shuang Lei Shi-Jiang Yu Qi Pan Li-Li ding Si-Chen Li Lu-Yan Cheng Shu-Qi Wang Bing-Hai Lou Jun He Cui-Yun Lei Lin Cong Hao-Qiang Liu Xue-Feng Wang Chun ran Citrus research Institute Southwest University/Chinese Academy of Agricultural SciencesNational Engineering Research Center for CitrusChongqingChina

diaphorina citri is a global citrus *** a vector insect,it can transmit the causative agents of citrus huanglongbing,causing irreversible losses to the citrus *** acquisition of genomic information can provide a molecular genetic basis for effective control of ***,the dNBSEQ™,Oxford Nanopore Technologies,and Hi-C technologies are applied to generate a high-quality chromosome-level genome of *** genome size of *** was 523.78 Mb with a scaffold N50 of 47.05 Mb distributed on 13 chromosomes.A total of 250.64 Mb(47.85%)repeat sequences and 24048 protein-coding genes were *** resequencing of female and male individuals indicated that the sex chromosome system of *** is *** analysis demonstrated that *** and Pachypsylla venusta,which separated from their most recent common ancestor about 336.62 million years ago,were the most closely ***,we identified genes potentially involved in detoxification metabolism,pathogen transmission,and honeydew secretion for further *** high-quality genome provides an important reference for developing effective management strategies of ***.

关键词： Asian citrus psyllid chromosome-level genome comparative genomics cytochrome P450 detoxification Huanglongbing

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Enhancing electrolyte ion diffusion via direct ink writing pillar array structure of graphene electrodes for high-performance microsupercapacitors

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Nano research 2024年第7期17卷 6203-6211页

作者： Yan Zhang Huandi Zhang Xiaoxiao Wang Cheng Tang Xiaowei Shi Zehua Zhao Jiamei Liu Guolong Wang Jianfeng Shen Lei Li State key Laboratory for Mechanical Behavior of Materials School of Materials Science and EngineeringXi’an Jiaotong University28 Xianning West RoadXi’an 710049China Center for Materials Chemistry Frontier Institute of Science and TechnologyXi’an Jiaotong UniversityXi’an 710049China Instrument Analysis Center of Xi'an Jiaotong University Xi’an Jiaotong University28 Xianning West RoadXi’an 710049China Institute of special materials and technology Fudan UniversityShanghai 200433China

The graphene-based microsupercapacitors(MSCs)suffer from graphene aggregation issue in *** reduces the electrolyte ions transportation in the electrodes to degrade the charge storage ability of MSCs,hampering their practical *** the electrolyte ions transportation in the electrodes can boost the charge storage ability of ***,we design and experimentally realize pillar array structure of graphene electrodes for MSCs by direct ink writing *** graphene electrodes with pillar array structure increase the contact area with electrolyte and short the electrolyte ions transport path,facilitating electrolyte ions transport in *** MSCs exhibit high areal capacitance of 25.67 mF·cm^(−2),high areal energy density of 20.54μWh·cm^(−2),and high power density of 1.45 mW·cm^(−2).One single MSCs can power timer for 10 min and pressure sensor more than 160 min,showing high practical application *** work provides a new avenue for developing high performance MSCs.

关键词： microsupercapacitors pillar array structure direct ink writing areal energy density ion transport

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Surface roughness classification using light scattering matrix and deep learning

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Science china(Technological Sciences) 2024年第2期67卷 520-535页

作者： SUN Hao TAN Wei rUAN YiXiao BAI Long XU JianFeng State key Laboratory of Intelligent Manufacturing Equipment and Technology School of Mechanical Science and EngineeringHuazhong University of Science and TechnologyWuhan 430074China Wuhan digital design and Manufacturing Innovation Center Co. LtdWuhan 430074China

High-quality optical components have been widely used in various applications;thus,extremely high beam quality is ***,surface roughness is a key indicator of the surface *** this study,the angular distribution of light scattering field intensity was obtained for surfaces having different roughness profiles based on the finite difference time domain(FdTd)method,and the results were compared with those obtained using the generalized Harvey-Shack(GHS)*** was shown that the FdTd approach can be used for an accurate simulation of the scattered field of a rough surface,and the superposition of results obtained from many surfaces that have the same roughness level was in good agreement with the result given by the analytic GHS model.A light scattering matrix(LSM)method was proposed based on the FdTd simulation results that could obtain rich surface roughness *** classification effect of LSM was compared with that of the single-incidence scattering distribution(SISd)based on a resNet-50 deep learning *** classification accuracy of the model trained with the LSM dataset was obtained as 95.74%,which was 23.40%higher than that trained using the SISd ***,the effects of different noise types and filtering methods on the classification performance were analyzed,and the LSM was also shown to improve the robustness and generalizability of the trained surface roughness ***,the proposed LSM method has important implications for improving the data acquisition scheme of current light scattering measurement systems,and it also has the potential to be used for detection and characterization of surface defects of optical components.

关键词： surface roughness FdTd simulation GHS theory deep learning light scattering matrix

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design optimization of a hexapod vibration isolation system for electro-optical payload

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Chinese Journal of Aeronautics 2024年第2期37卷 330-342页

作者： Jing LI Weipeng LI Xiaoyan ZHANG Hai HUANG School of Astronautics Beihang UniversityBeijing 100191China

The electro-optical payloads on mobile platforms generally suffer undesirable vibrations generated by maneuvers and *** vibrations are in six degrees of freedom and cause line-of-sight jitters,resulting in image blurring and loss of tracking *** this paper,a Hexapod Vibration Isolation System(HVIS)is proposed and optimized to solve this *** optimization aims to centralize and minimize the natural frequencies of HVIS,for expanding the vibration isolation bandwidth and improving the vibration isolation in the higher frequency *** that the design space for HVIS is limited and interfered with the frames of the mobile platform,a non-collision algorithm is proposed and applied in the optimization to obtain the feasible optimal *** optimization result shows that the natural frequency bandwidth has been reduced by 42.9%,and the maximum natural frequency is reduced by 30.2%.The prototypes of initial and optimal designs are manufactured and *** simulated and experimental results demonstrate the validity of the optimization,and the optimal design provides a maximum of 15 dB more isolation in rotation direction than the initial design.

关键词： Electro-optical payload Vibrations Isolation system Hexapod Optimization Non-collision design

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Brain-inspired multimodal approach for effluent quality prediction using wastewater surface images and water quality data

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Frontiers of Environmental Science & Engineering 2024年第3期18卷 69-82页

作者： Junchen Li Sijie Lin Liang Zhang Yuheng Liu Yongzhen Peng Qing Hu School of Environment Harbin Institute of TechnologyHarbin 150090China School of Environmental Science and Engineering Southern University of Science and TechnologyShenzhen 518055China Engineering Innovation Center of SUSTech(Beijing) Southern University of Science and TechnologyBeijing 100083China Faculty of Environment and Life Beijing University of TechnologyBeijing 100124China Engineering research Center of Intelligence Perception and Autonomous Control Ministry of EducationBeijing 100124China

Efficiently predicting effluent quality through data-driven analysis presents a significant advancement for consistent wastewater treatment *** this study,we aimed to develop an integrated method for predicting effluent COd and NH3 *** employed a 200 L pilot-scale sequencing batch reactor(SBr)to gather multimodal data from urban sewage over 40 *** we collected data on critical parameters like COd,dO,pH,NH_(3),EC,OrP,SS,and water temperature,alongside wastewater surface images,resulting in a data set of approximately 40246 *** we proposed a brain-inspired image and temporal fusion model integrated with a CNN-LSTM network(BITF-CL)using this *** innovative model synergized sewage imagery with water quality data,enhancing prediction *** a result,the BITF-CL model reduced prediction error by over 23%compared to traditional methods and still performed comparably to conventional techniques even without using dO and SS sensor ***,this research presents a cost-effective and precise prediction system for sewage treatment,demonstrating the potential of brain-inspired models.

关键词： Wastewater treatment system Water quality prediction data driven analysis Brain-inspired model Multimodal data Attention mechanism

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A GNSS Anti-Spoofing Technique Based on the Spatial distribution Characteristic of the residual Vectors

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Tsinghua Science and Technology 2024年第2期29卷 457-468页

作者： Qi'an Wu Xiaowei Cui Mingquan Lu Pengxiang Yang Peng Wu department of Electronic Enginnering Tsinghua UniversityBeijing 100084China Xi’an Modern Control Technology research Institute Xi’an 710065China

Anti-spoofing is becoming a crucial technique for applications with high navigation accuracy and reliability ***-spoofing technique based on receiver Autonomous Integrity Monitoring(rAIM)is a good choice for most Global Navigation Satellite System(GNSS)receivers because it does not require any change to the hardware of the ***,the conventional rAIM method can only detect and mitigate a single spoofing *** improved rAIM methods can deal with more spoofing signals,but the computational complexity increases dramatically when the number of satellites in view increase or need additional *** paper proposes a new rAIM method,called the SrV-rAIM method,which has a very low computation complexity regardless of the number of satellites in view and can deal with any number of spoofing *** key to the new method is the spatial distribution characteristic of the Satellites'residual Vectors(SrV).In replay or generative spoofing scenarios,the pseudorange measurements of spoofing signals are consistent,the residual vectors of real satellites and those of spoofing satellites have good separation characteristics in spatial *** on this characteristic,the SrV-rAIM method is proposed,and the simulation results show that the method can separate the real signals and the spoofing signals with an average probability of 86.55%in the case of 12 visible satellites,regardless of the number of spoofing *** to the conventional traversal-rAIM method,the performance is only reduced by 3.59%,but the computational cost is reduced by 98.3%,so most of the GNSS receivers can run the SrV-rAIM algorithm in time.

关键词： Global Navigation Satellite System(GNSS) anti-spoofing receiver Autonomous Integrity Monitoring(rAIM) Satellites'residual Vectors(SrV)

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