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A review of research on urban parking prediction

Journal of Traffic and Transportation Engineering(English Edition) 2024年第4期11卷 700-720页

作者： Changxi Ma Xiaoting huang Jiangchen Li school of Traffic and Transportation Lanzhou Jiaotong UniversityLanzhou 730070China College of Civil Aviation Nanjing University of Aeronautics and AstronauticsNanjing 210016China

The rapid growth of urban traffic has intensified daily congestion,affecting both traffic flow and *** parking prediction plays a vital role in effectively managing limited parking resources and is essential for the successful implementation of advanced intelligent *** an effort to comprehensively assess the latest developments in parking prediction,we curated a dataset of 639 articles spanning from 2010 to the present,using the scopus ***,we performed a bibliometric analysis utilizing VOsviewer *** findings not only illuminate emerging trends within the parking prediction field but also provide strategic guidance for its ***,we categorized advancements in three focal areas:behavior prediction,demand prediction,and parking space prediction.A comprehensive overview of the present research status and future directions was then *** findings underscore the substantial progress achieved in current parking prediction models,achieved through diverse avenues like multi-source data integration,multi-variable feature extraction,nonlinear relationship modeling,deep learning techniques application,and ensemble model *** innovative endeavors have not only pushed the theoretical boundaries of parking prediction but also significantly heightened the precision and applicability of predictive models in practical *** research should explore avenues such as processing unstructured parking datasets,developing predictive models for small-scale data,mitigating noise interference in parking data,and harnessing potent platform fusion *** study's significance transcends guiding and catalyzing advancement in academic and practical domains;it holds paramount relevance across academic research,technological innovation,decision-making support,business applications,and policy formulation.

关键词： Parking prediction Machine learning smart parking Deep learning

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Concentration breaking on two optimization problems

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science China Mathematics 2024年第7期67卷 1555-1570页

作者： Yong huang Qinfeng Li Qiuqi Li school of Mathematics Hunan UniversityChangsha410082China

In the present paper, we study the boundary concentration-breaking phenomena on two thermal insulation problems considered on Lipschitz domains, based on serrin's overdetermined result, the perturbation argument, and a comparison of Laplacian eigenvalues with different boundary conditions. since neither of the functionals in the two problems is C^(1), another key ingredient is to obtain the global H?lder regularity of minimizers of both problems on Lipschitz domains. Also, the exact dependence on the domain of breaking thresholds is given in the first problem, and the breaking values are obtained in the second problem on ball domains, which are related to 2π in dimension 2.

关键词： spectral inequalities symmetry breaking Laplacian eigenvalue

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TsCND:Temporal subsequence-Based Convolutional Network with Difference for Time series Forecasting

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Computers, Materials & Continua 2024年第3期78卷 3665-3681页

作者： Haoran huang Weiting Chen Zheming Fan MOE Research Center of software/Hardware Co-Design Engineering East China Normal UniversityShanghai200062China

Time series forecasting plays an important role in various fields, such as energy, finance, transport, and weather. Temporal convolutional networks (TCNs) based on dilated causal convolution have been widely used in time series forecasting. However, two problems weaken the performance of TCNs. One is that in dilated casual convolution, causal convolution leads to the receptive fields of outputs being concentrated in the earlier part of the input sequence, whereas the recent input information will be severely lost. The other is that the distribution shift problem in time series has not been adequately solved. To address the first problem, we propose a subsequence-based dilated convolution method (sDC). By using multiple convolutional filters to convolve elements of neighboring subsequences, the method extracts temporal features from a growing receptive field via a growing subsequence rather than a single element. Ultimately, the receptive field of each output element can cover the whole input sequence. To address the second problem, we propose a difference and compensation method (DCM). The method reduces the discrepancies between and within the input sequences by difference operations and then compensates the outputs for the information lost due to difference operations. Based on sDC and DCM, we further construct a temporal subsequence-based convolutional network with difference (TsCND) for time series forecasting. The experimental results show that TsCND can reduce prediction mean squared error by 7.3% and save runtime, compared with state-of-the-art models and vanilla TCN.

关键词： Difference data prediction time series temporal convolutional network dilated convolution

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Weakly supervised Network with scribble-supervised and Edge-Mask for Road Extraction from High-Resolution Remote sensing Images

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Computers, Materials & Continua 2024年第4期79卷 549-562页

作者： supeng Yu Fen huang Chengcheng Fan College of Artificial Intelligence Nanjing Agricultural UniversityNanjing210095China Innovation Academy for Microsatellites of CAs Shanghai201210China shanghai Engineering Center for Microsatellites Shanghai201210China Key Laboratory of satellite Digital Technology Shanghai201210China

significant advancements have been achieved in road surface extraction based on high-resolution remote sensingimage processing. Most current methods rely on fully supervised learning, which necessitates enormous humaneffort to label the image. Within this field, other research endeavors utilize weakly supervised methods. Theseapproaches aim to reduce the expenses associated with annotation by leveraging sparsely annotated data, such asscribbles. This paper presents a novel technique called a weakly supervised network using scribble-supervised andedge-mask (WssE-net). This network is a three-branch network architecture, whereby each branch is equippedwith a distinct decoder module dedicated to road extraction tasks. One of the branches is dedicated to generatingedge masks using edge detection algorithms and optimizing road edge details. The other two branches supervise themodel’s training by employing scribble labels and spreading scribble information throughout the image. To addressthe historical flaw that created pseudo-labels that are not updated with network training, we use mixup to blendprediction results dynamically and continually update new pseudo-labels to steer network training. Our solutiondemonstrates efficient operation by simultaneously considering both edge-mask aid and dynamic pseudo-labelsupport. The studies are conducted on three separate road datasets, which consist primarily of high-resolutionremote-sensing satellite photos and drone images. The experimental findings suggest that our methodologyperforms better than advanced scribble-supervised approaches and specific traditional fully supervised methods.

关键词： semantic segmentation road extraction weakly supervised learning scribble supervision remote sensing image

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Upper and Lower Bounds of the α-Universal Triple I Method for Unified Interval Implications

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Computers, Materials & Continua 2024年第4期79卷 1063-1088页

作者： Yiming Tang Jianwei Gao Yifan huang school of Computer and Information Hefei University of TechnologyHefei230601China Department of Electrical and Computer Engineering University of AlbertaEdmontonAB T6R 2V4Canada

Theα-universal triple I(α-UTI)method is a recognized scheme in the field of fuzzy reasoning,whichwas proposed by our research group *** robustness of fuzzy reasoning determines the quality of reasoning algorithms to a large extent,which is quantified by calculating the disparity between the output of fuzzy reasoning with interference and the output without ***,in this study,the interval robustness(embodied as the interval stability)of theα-UTI method is explored in the interval-valued fuzzy *** begin with,the stability of theα-UTI method is explored for the case of an individual rule,and the upper and lower bounds of its results are estimated,using four kinds of unified interval implications(including the R-interval implication,the s-interval implication,the QL-interval implication and the interval t-norm implication).Through analysis,it is found that theα-UTI method exhibits good interval stability for an individual ***,the stability of theα-UTI method is revealed in the case of multiple rules,and the upper and lower bounds of its outcomes are *** results show that theα-UTI method is stable for multiple rules when four kinds of unified interval implications are used,***,theα-UTI reasoning chain method is presented,which contains a chain structure with multiple *** corresponding solutions and their interval perturbations are *** is found that theα-UTI reasoning chain method is stable in the case of chain *** application examples in affective computing are given to verify the stability of theα-*** summary,through theoretical proof and example verification,it is found that theα-UTImethod has good interval robustness with four kinds of unified interval implications aiming at the situations of an individual rule,multi-rule and reasoning chain.

关键词： Fuzzy reasoning the CRI method the triple I method fuzzy implication interval robustness

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Chinese Clinical Named Entity Recognition Using Multi-Feature Fusion and Multi-scale Local Context Enhancement

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Computers, Materials & Continua 2024年第8期80卷 2283-2299页

作者： Meijing Li Runqing huang Xianxian Qi College of Information Engineering Shanghai Maritime UniversityShanghai200306China

Chinese Clinical Named Entity Recognition(CNER)is a crucial step in extracting medical information and is of great significance in promoting medical ***,CNER poses challenges due to the specificity of clinical terminology,the complexity of Chinese text semantics,and the uncertainty of Chinese entity *** address these issues,we propose an improved CNER model,which is based on multi-feature fusion and multi-scale local context *** model simultaneously fuses multi-feature representations of pinyin,radical,Part of speech(POs),word boundary with BERT deep contextual representations to enhance the semantic representation of text for more effective entity ***,to address the model’s limitation of focusing just on global features,we incorporate Convolutional Neural Networks(CNNs)with various kernel sizes to capture multi-scale local features of the text and enhance the model’s comprehension of the ***,we integrate the obtained global and local features,and employ multi-head attention mechanism(MHA)extraction to enhance the model’s focus on characters associated with medical entities,hence boosting the model’s *** obtained 92.74%,and 87.80%F1 scores on the two CNER benchmark datasets,CCKs2017 and CCKs2019,*** results demonstrate that our model outperforms the latest models in CNER,showcasing its outstanding overall *** can be seen that the CNER model proposed in this study has an important application value in constructing clinical medical knowledge graph and intelligent Q&A system.

关键词： CNER multi-feature fusion BiLsTM CNN MHA

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Evolution of HIV/AIDs Prevention and Control Policies in China:A Grounded Theory Approach

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China CDC weekly 2024年第1期6卷 12-22页

作者： huang Li Rui Gao Chichen Zhang school of Public Health Southern Medical UniversityGuangzhou CityGuangdong ProvinceChina school of Health Management Southern Medical UniversityGuangzhou CityGuangdong ProvinceChina Key Laboratory of Philosophy and social sciences of Colleges and Universities in Guangdong Province for Collaborative Innovation of Health Management Policy and Precision Health service Southern Medical UniversityGuangzhou CityGuangdong ProvinceChina Graduate school Xi’an Jiaotong-Liverpool UniversitySuzhou CityJiangsu ProvinceChina school of Political science and Public Administration Soochow UniversitySuzhou CityJiangsu ProvinceChina

Objective:This study aims to provide a theoretical foundation for the development and practical application of human immunodeficiency virus(HIV)/acquired immunodeficiency syndrome(AIDs)prevention and control policy systems in China by scrutinizing,analyzing,and synthesizing the evolution of Chinese policies in this ***:Utilizing grounded theory,we employed NVivo12 software to perform text content analysis,mining,and coding classification,along with visualization techniques,on policy texts sourced from Chinese government platforms,including the official website of China’s state *** considered four analytical dimensions—time,subject,type,and ***:The National Health Commission and the state Council emerged as the primary entities engaged in policymaking for HIV/AIDs in *** identified four distinct stages in the evolution of these policies,culminating in a novel‘sun-shaped’HIV/AIDs prevention and control policy network model with an emphasis on‘knowledge,attitude,and practice’at its nucleus,which aligns with national conditions and societal ***,the focal groups of these policies have been dynamically refined and updated over ***:Our findings introduce a‘sunshaped’HIV/AIDs prevention and control policy network model specific to *** observed a conceptual policy shift towards prioritizing overall human health rather than confining the focus to disease ***,in light of China’s growing elderly population,the imperative to address HIV/AIDs prevention and control among older adults is an issue that warrants increased attention.

关键词： prevention HIV/AIDs policy

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A study on Enhancing Chip Detection Efficiency Using the Lightweight Van-YOLOv8 Network

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Computers, Materials & Continua 2024年第4期79卷 531-547页

作者： Meng huang Honglei Wei Xianyi Zhai school of Mechanical Engineering and Automation Dalian Polytechnic UniversityDalian116034China

In pursuit of cost-effective manufacturing,enterprises are increasingly adopting the practice of utilizing recycled semiconductor *** ensure consistent chip orientation during packaging,a circular marker on the front side is employed for pin alignment following successful functional ***,recycled chips often exhibit substantial surface wear,and the identification of the relatively small marker proves ***,the complexity of generic target detection algorithms hampers seamless *** these issues,this paper introduces a lightweight YOLOv8s-based network tailored for detecting markings on recycled chips,termed ***,to alleviate the influence of diminutive,low-resolution markings on the precision of deep learning models,we utilize an upscaling approach for enhanced *** technique relies on the super-Resolution Generative Adversarial Network with Extended Training(sRGANext)network,facilitating the reconstruction of high-fidelity images that align with input ***,we replace the original YOLOv8smodel’s backbone feature extraction network with the lightweight VanillaNetwork(VanillaNet),simplifying the branch structure to reduce network ***,a Hybrid Attention Mechanism(HAM)is implemented to capture essential details from input images,improving feature representation while concurrently expediting model inference *** results demonstrate that the Van-YOLOv8 network outperforms the original YOLOv8s on a recycled chip dataset in various ***,it demonstrates superiority in parameter count,computational intricacy,precision in identifying targets,and speed when compared to certain prevalent algorithms in the current *** proposed approach proves promising for real-time detection of recycled chips in practical factory settings.

关键词： Lightweight neural networks attention mechanisms image super-resolution enhancement feature extraction small object detection

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A rapid and visual detection method for Crimean-Congo hemorrhagic fever virus by targeting s gene

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Journal of Integrative Agriculture 2024年第6期23卷 2149-2153页

作者： Xingqi Liu Zengguo Cao Boyi Li Pei huang Yujie Bai Jingbo huang Zanheng huang Yuanyuan Zhang Yuanyuan Li Haili Zhang Hualei Wang state Key Laboratory for Diagnosis and Treatment of severe Zoonotic Infectious Diseases/Key Laboratory for Zoonosis Research of the Ministry of Education Institute of ZoonosisCollege of Veterinary MedicineJilin UniversityChangchun 130062China Key Laboratory of special Pathogens and Biosafety Wuhan Institute of VirologyCenter for Biosafety Mega-ScienceChinese Academy of SciencesWuhan 430071China

Crimean-Congo hemorrhagic fever(CCHF)is a zoonotic disease caused by the CCHF virus(CCHFV),which is primarily transmitted by ticks(Lorenzo Juanes et al.2023).It is an emerging disease that occurs sporadically in Africa,Asia,and Europe,with a high morbidity and mortality rate,as high as 30%in humans(Ceylan et al.2013).CCHFV,belonging to genus Nairovirus,family Bunyaviridae,was first identified in the Congo in the 1960s.

关键词： hemorrhagic fever

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Absorbed Bioactive Compounds Replicate GuanxinⅡ-Induced Endothelium-Associated in/ex vivo Vasodilation

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Chinese Journal of Integrative Medicine 2024年第5期30卷 387-397页

作者： XU Min LIU Hao sU Meng-qing LI Lan YU Ai-ling CHEN Ken huang Yun-ke ZHAO Qiu-long huang Wen-ya huang Xi Institute of Traditional Chinese Medicine Related Comorbid Depression Nanjing University of Chinese MedicineNanjing 210029China Department of Gynecology Women's HospitalZhejiang University School of MedicineHangzhou 310053China

Objective:To develop an interference-free and rapid method to elucidate GuanxinⅡ(GXⅡ)'s representative vasodilator absorbed bioactive compounds(ABCs)among enormous ***:The contents of ferulic acid,tanshinol,and hydroxysafflor yellow A(FTA)in GXⅡ/rat serum after the oral administration of GXⅡ(30 g/kg)were detected using ultra-performance liquid chromatography-mass *** 18 rats were randomly assigned to the control group(0.9%normal saline),GXⅡ(30 g/kg)and FTA(5,28 and 77 mg/kg)by random number table *** coronary flow velocity-time integral(VTI),i.e.,coronary flow or coronary flow-mediated dilation(CFMD),and endothelium-intact vascular tension of isolated aortic rings were *** 12 h of exposure to blank medium or 0.5 mmol/L H_(2)O_(2),endothelial cells(ECs)were treated with post-dose GXⅡof supernatant from deproteinized serum(PGsDs,300μL PGsDs per 1 m L of culture medium)or FTA(237,1539,and 1510 mg/m L)for 10 min as control,H_(2)O_(2),PGsDs and FTA *** oxide(NO),vascular endothelial growth factor(VEGF),endothelin-1(ET-1),superoxide dismutase(sOD),malondialdehyde(MDA)and phosphorylated phosphoinositide 3 kinase(p-PI3K),phosphorylated protein kinase B(p-AKT),phosphorylated endothelial nitric oxide synthase(p-e NOs)were *** was developed as a GXⅡproxy of ex vivo herbal crude ***:PGsDs effectively eliminates false responses caused by crude GXⅡ*** doses equaled the contents in GXⅡ/its post-dose serum,FTA accounted for 98.17%of GXⅡ-added CFMD and 92.99%of PGsDs-reduced vascular *** ECs,FTA/PGsDs was found to have significant antioxidant(lower MDA and higher sOD,Pses in aortic relaxation,endothelial NO levels and phosphorylated PI3K/Akt/e NOs protein induced by FTA/PGsDs were markedly abolished by NG-nitro-L-arginine methyl ester(L-NA,e NOs inhibitor)and wortmannin(PI3K/AKT inhibitor

关键词： ultra-performance liquid chromatography-mass spectrometry endothelium-dependent vasodilation herbal extract GuanxinⅡ absorbed bioactive compound

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