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Experimental and numerical simulation study on forced ventilation and dust removal of coal mine heading surface

International Journal of Coal science & technology 2024年第1期11卷 204-220页

作者： Haotian Zheng Bingyou Jiang Haoyu Wang Yuannan Zheng Key Laboratory of Industrial Dust Prevention and Control&Occupational Health and Safety Ministry of EducationAnhui University of Science and TechnologyHuainan232001China Joint National-Local Engineering Research Centre for Safe and Precise Coal Mining Anhui University of Science and TechnologyHuainan232001China School of Safety Science and Engineering Anhui University of Science and TechnologyHuainan232001China

In order to study the problems of unreasonable airflow distribution and serious dust pollution in a heading surface,an experimental platform for forced ventilation and dust removal was built based on the similar *** the similar experiment and numerical simulation,the distribution of airflow field in the roadway and the spatial and temporal evolution of dust pollution under the conditions of forced ventilation were *** airflow field in the roadway can be divided into three zones:jet zone,vortex zone and reflux *** dust concentration gradually decreases from the head to the rear of the *** the forced ventilation conditions,there is a unilateral accumulation of dust,with higher dust concentrations away from the *** position of the equipment has an interception effect on the *** maximum error between the test value and the simulation result is 12.9%,which verifies the accuracy of the experimental *** research results can provide theoretical guidance for the application of dust removal technology in coal mine.

关键词： Heading surface Forced ventilation Airflow field Dust pollution

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A Miniaturized UWB MIMO Antenna Design for 5G Multi-Band Applications

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Progress in Electromagnetics Research C 2025年 153卷 1-12页

作者： Yao, Shanhua Qiu, Xiaorong Yang, Tianchu School of Electrical and Information Engineering Anhui University of Science and Technology Huainan232001 China

In this paper, an ultra-wideband (UWB) multiple-input multiple-output (MIMO) antenna covering the n77, n78, n79, and 6 GHz bands is proposed for 5G applications, which achieves the full coverage of the 5G NR (New Radio) band with a compact geometry. The antenna is fabricated from low-cost printed circuit boards, with the dimensions of 36 mm × 53 mm × 1.6 mm. The MIMO antenna has been designed with two positive octagonal antenna monopole elements, which feature triangular fractal slots and a defected ground plane. Each of these elements is excited by a microstrip feed, and the antenna operates within a bandwidth of 2.92–16.97 GHz, which encompasses the entire UWB frequency range. The utilization of a floor with T-shaped slots and T-shaped stubs serves to minimize the generation of coupling currents between the antenna elements, thereby achieving an isolation of in excess of 19 dB across the entire operating band and a figure in excess of 20 dB in multiple 5G bands. In addition, simulations and measurements show that the antenna has an envelope correlation coefficient (ECC) less than 0.005, a diversity gain (DG) more than 9.98, a total active reflection coefficient (TARC) less than −30 dB, and a channel capacity loss (CCL) less than 0.3 bit/s/Hz in the operating frequency band, with good gain and stable radiation characteristics. The designed antenna has the potential for significant applications in 5G wireless communications. © 2025, Electromagnetics Academy. All rights reserved.

关键词： Slot antennas

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Transformer-Based Person Re-Identification: A Comprehensive Review

IEEE Transactions on Intelligent Vehicles

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IEEE Transactions on Intelligent Vehicles 2024年第7期9卷 1-19页

作者： Sarker, Prodip Kumar Zhao, Qingjie Uddin, Md. Kamal School of Computer Science and Technology Beijing Institute of Technology China Department of Computer Science and Telecommunication Engineering Noakhali Science and Technology University Bangladesh

In the evolving landscape of surveillance and security applications, the task of person re-identification(re-ID) has significant importance, but also presents notable difficulties. This task entails the process of accurately matching and identifying persons across several camera views that do not overlap with one another. This is of utmost importance to video surveillance, public safety, and person-tracking applications. However, vision-related difficulties, such as variations in appearance, occlusions, viewpoint changes, cloth changes, scalability, limited robustness to environmental factors, and lack of generalizations, still hinder the development of reliable person re-ID methods. There are few approaches have been developed based on these difficulties relied on traditional deep-learning techniques. Nevertheless, recent advancements of transformer-based methods, have gained widespread adoption in various domains owing to their unique architectural properties. Recently, few transformer-based person re-ID methods have developed based on these difficulties and achieved good results. To develop reliable solutions for person re-ID, a comprehensive analysis of transformer-based methods is necessary. However, there are few studies that consider transformer-based techniques for further investigation. This review proposes recent literature on transformer-based approaches, examining their effectiveness, advantages, and potential challenges. This review is the first of its kind to provide insights into the revolutionary transformer-based methodologies used to tackle many obstacles in person re-ID, providing a forward-thinking outlook on current research and potentially guiding the creation of viable applications in real-world scenarios. The main objective is to provide a useful resource for academics and practitioners engaged in person re-ID. IEEE

关键词： Cameras

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Solitary pulmonary nodules prediction for lung cancer patients using nomogram and machine learning

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arXiv 2023年第S9期21卷 38-48页

作者： Zhang, Hailan Song, Gongjin School of Computer Science and Technology Anhui University of Technology Maanshan China

Background: Lung cancer (LC) is a type of malignant neoplasm that originates in the bronchial mucosa or glands. As a clinically common nodule, solitary pulmonary nodules (SPNs) have a significantly higher probability of malignancy when they are larger than 8 mm in diameter. But there is also a risk of lung cancer when the diameter is less than 8mm, the purpose of this study was to create a nomogram for estimating the likelihood of lung cancer in patients with SPNs of 8 mm or smaller using computed tomography (CT) scans and biomarker information. Objective. Use CT scans and various biomarkers as input to build predictive models for the likelihood of lung cancer in patients with SPNs of 8 mm or less. Results: The age, precursor gastrin-releasing peptide (ProGRP), Carcinoembryonic Antigen (CEA), gender and stress corrosion cracking (SCC) were independent key tumor markers and were entered into the nomogram. The developed nomogram demonstrated strong accuracy in predicting lung cancer risk, with an internal validation area under the receiver operating characteristics curve (ROC) of 0.8474. The calibration curves plotted showed that the nomogram predicted the probability of lung cancer with good agreement with the actual probability. Conclusions: In this study, we finally succeeded in constructing a suitable nomogram that could predict the risk of lung cancer in patients with SPNs ≤8 mm in diameter. The model has a high level of accuracy and is able to accurately distinguish between different patients, allowing clinicians to develop personalized treatment plans for individuals with SPNs. © 2023, CC BY.

关键词： Tumors

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On building automation system security

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High-Confidence Computing 2024年第3期4卷 103-122页

作者： Christopher Morales-Gonzalez Matthew Harper Michael Cash Lan Luo Zhen Ling Qun Z.Sun Xinwen Fu Department of Computer Science University of Massachusetts LowellLowell 01854USA Department of Electrical and Computer Engineering University of Central FloridaOrlando 32816USA School of Computer Science and Technology Southeast UniversityMa’anshan 243032China School of Computer Science and Engineering Anhui University of TechnologyNanjing 211189China

Building Automation Systems(BASs)are seeing increased usage in modern society due to the plethora of benefits they provide such as automation for climate control,HVAC systems,entry systems,and lighting *** BASs in use are outdated and suffer from numerous vulnerabilities that stem from the design of the underlying BAS *** this paper,we provide a comprehensive,up-to-date survey on BASs and attacks against seven BAS protocols including BACnet,EnOcean,KNX,LonWorks,Modbus,ZigBee,and *** studies of secure BAS protocols are also presented,covering BACnet Secure Connect,KNX Data Secure,KNX/IP Secure,ModBus/TCP Security,EnOcean High Security and Z-Wave *** and ZigBee do not have security *** point out how these security protocols improve the security of the BAS and what issues remain.A case study is provided which describes a real-world BAS and showcases its vulnerabilities as well as recommendations for improving the security of *** seek to raise awareness to those in academia and industry as well as highlight open problems within BAS security.

关键词： Building automation system BAS protocols Security Attack

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A Review of the Current Task Offloading Algorithms,Strategies and Approach in Edge Computing Systems

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computer Modeling in engineering & sciences 2023年第1期134卷 35-88页

作者： Abednego Acheampong Yiwen Zhang Xiaolong Xu Daniel Appiah Kumah School of Computer Science and Technology Anhui UniversityHefei230039China School of Computer and Software Nanjing University of Information Science and TechnologyNanjing210044China

Task offloading is an important concept for edge computing and the Internet of Things(IoT)because computationintensive tasksmust beoffloaded tomore resource-powerful remote *** has several advantages,including increased battery life,lower latency,and better application performance.A task offloading method determines whether sections of the full application should be run locally or offloaded for execution *** offloading choice problem is influenced by several factors,including application properties,network conditions,hardware features,and mobility,influencing the offloading system’s operational *** study provides a thorough examination of current task offloading and resource allocation in edge computing,covering offloading strategies,algorithms,and factors that influence *** offloading and partial offloading strategies are the two types of offloading *** algorithms for task offloading and resource allocation are then categorized into two parts:machine learning algorithms and non-machine learning *** examine and elaborate on algorithms like Supervised Learning,Unsupervised Learning,and Reinforcement Learning(RL)under machine *** the non-machine learning algorithm,we elaborate on algorithms like non(convex)optimization,Lyapunov optimization,Game theory,Heuristic Algorithm,Dynamic Voltage Scaling,Gibbs Sampling,and Generalized Benders Decomposition(GBD).Finally,we highlight and discuss some research challenges and issues in edge computing.

关键词： Task offloading machine learning algorithm game theory dynamic voltage scaling

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Coarse-to-fine lightweight meta-embedding for ID-based recommendations

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science China(Information sciences) 2025年第4期68卷 82-97页

作者： Yang WANG Haipeng LIU Zeqian YI Biao QIAN Meng WANG School of Computer Science and Information Engineering Hefei University of Technology College of Information and Intelligence Hunan Agricultural University

State-of-the-art recommender systems are increasingly focused on optimizing implementation efficiency, such as enabling on-device recommendations under memory constraints. Current methods commonly use lightweight embeddings for users and items or employ compact embeddings to enhance reusability and reduce memory usage. However, these approaches consider only the coarse-grained aspects of embeddings, overlooking subtle semantic nuances. This limitation results in an adversarial degradation of meta-embedding performance, impeding the system's ability to capture intricate relationships between users and items, leading to suboptimal recommendations. To address this, we propose a novel approach to efficiently learn meta-embeddings with varying grained and apply fine-grained meta-embeddings to strengthen the representation of their coarse-grained counterparts. Specifically, we introduce a recommender system based on a graph neural network, where each user and item is represented as a node. These nodes are directly connected to coarse-grained virtual nodes and indirectly linked to fine-grained virtual nodes, facilitating learning of multi-grained semantics. Fine-grained semantics are captured through sparse meta-embeddings, which dynamically balance embedding uniqueness and memory constraints. To ensure their sparseness, we rely on initialization methods such as sparse principal component analysis combined with a soft thresholding activation function. Moreover, we propose a weight-bridging update strategy that aligns coarse-grained meta-embedding with several fine-grained meta-embeddings based on the underlying semantic properties of users and items. Comprehensive experiments demonstrate that our method outperforms existing baselines. The code of our proposal is available at https://***/htyjers/C2F-MetaEmbed.

关键词： lightweight meta-embedding coarse-to-fine learning ID-based recommendations

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An empirical formula of nuclear β-decay half-lives with the transition-strength contribution

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Chinese Physics C 2025年第4期49卷 179-185页

作者： Lei Tian Wei-Feng Li Ji-Yu Fang Zhong-Ming Niu School of Physics and Optoelectronic Engineering Anhui UniversityHefei 230601China School of Mechanics and Photoelectric Physics Anhui University of Science and TechnologyHuainan 232001China

An empirical formula of nuclearβ-decay half-lives is proposed by including the transition-strength *** inclusion of the transition-strength contribution can reduce nuclearβ-decay half-lives by about an order of magnitude,and its effect gradually increases toward the neutron-rich or heavy nuclear *** nuclearβ-decay half-lives less than 1 s,the empirical formula can describe the experimental data within approximately2 times,which is more accurate than the sophisticated microscopic *** transition-strength contribution can also be effectively considered by refitting the parameters of other empirical formulas without the transition-strength term although they will still significantly deviate from the new empirical formula in light or heavy neutron-rich nuclear *** indicates that the inclusion of the transition-strength contribution in the empirical formula is crucial for the global description of nuclearβ-decay *** extrapolation ability of the new empirical formula was verified by the newly measuredβ-decay half-lives.

关键词： β-decay half-lives transition strength empirical formula

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Disentangling Dynamics: Advanced, Scalable and Explainable Imputation for Multivariate Time Series

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IEEE Transactions on Knowledge and Data engineering 2025年第7期37卷 4010-4022页

作者： Liu, Shuai Li, Xiucheng Chen, Yile Jiang, Yue Cong, Gao Nanyang Technological University School of Computer Science and Engineering 639798 Singapore School of Computer Science and Technology Guangdong 518055 China

Missing values pose a formidable obstacle in multivariate time series analysis. Existing imputation methods rely on entangled representations that struggle to simultaneously capture multiple orthogonal time-series patterns, leading to suboptimal performance and limited interpretability. Meanwhile, requiring the entire data span as input renders these models impractical for long time series. To address these issues, we propose TIDER and its enhanced version, AdaTIDER. TIDER employs low-rank matrix factorization and disentangled temporal representations to model intricate dynamics like trend, seasonality, and local bias. However, TIDER is limited to single-period modeling and does not explicitly capture dependencies between channels. To overcome these limitations, AdaTIDER incorporates adaptive cross-channel dependency modeling and multi-period seasonality representations. These advancements enable it to dynamically capture variable relationships and complex multi-period patterns, significantly enhancing imputation accuracy and interpretability, while maintaining TIDER's scalability. Extensive experiments on real-world datasets validate the superiority of our models in imputation accuracy, scalability, interpretability, and robustness. © 1989-2012 IEEE.

关键词： Matrix factorization

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Damage constitutive model of lunar soil simulant geopolymer under impact loading

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Journal of Rock Mechanics and Geotechnical engineering 2024年第3期16卷 1059-1071页

作者： Hanyan Wang Qinyong Ma Qianyun Wu School of Civil Engineering and Architecture Anhui University of Science and TechnologyHuainan232001China Engineering Research Center of Underground Mine Construction Ministry of EducationAnhui University of Science and TechnologyHuainan232001China

Lunar base construction is a crucial component of the lunar exploration program,and considering the dynamic characteristics of lunar soil is important for moon ***,investigating the dynamic properties of lunar soil by establishing a constitutive relationship is critical for providing a theoretical basis for its damage *** this paper,a split Hopkinson pressure bar(SHPB)device was used to perform three sets of impact tests under different pressures on a lunar soil simulant geopolymer(LSSG)with sodium silicate(Na_(2)SiO_(3))contents of 1%,3%,5%and 7%.The dynamic stressestrain curves,failure modes,and energy variation rules of LSSG under different pressures were *** equation was modified based on the ZWT viscoelastic constitutive model and was combined with the damage *** damage element obeys the Weibull distribution and the constitutive equation that can describe the mechanical properties of LSSG under dynamic loading was *** results demonstrate that the dynamic compressive strength of LSSG has a marked strain-rate strengthening ***_(2)SiO_(3) has both strengthening and deterioration effects on the dynamic compressive strength of *** Na_(2)SiO_(3) grows,the dynamic compressive strength of LSSG first increases and then *** a fixed air pressure,5%Na_(2)SiO_(3) had the largest dynamic compressive strength,the largest incident energy,the smallest absorbed energy,and the lightest *** ZWT equation was modified according to the stress response properties of LSSG and the range of the SHPB strain rate to obtain the constitutive equation of the LSSG,and the model’s correctness was confirmed.

关键词： Lunar soil simulant geopolymer(LSSG) Split hopkinson pressure bar(SHPB)test Constitutive model Energy analysis Failure mode

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