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Fusion Recommendation System Based on Collaborative Filtering and Knowledge Graph

computer Systems science & Engineering 2022年第9期42卷 1133-1146页

作者： Donglei Lu Dongjie Zhu Haiwen Du Yundong Sun Yansong Wang Xiaofang Li Rongning Qu Ning Cao Russell Higgs School of Artificial Intelligence Wuxi Vocational College of Science and TechnologyWuxi214028China School of Computer Science and Technology Harbin Institute of TechnologyWeihai264209China School of Astronautics Harbin Institute of TechnologyHarbin150001China Department of Mathematics Harbin Institute of TechnologyWeihai264209China School of Mathematical Sciences University College DublinDublinDublin4Ireland

The recommendation algorithm based on collaborative filtering is currently the most successful recommendation method. It recommends items to theuser based on the known historical interaction data of the target user. Furthermore,the combination of the recommended algorithm based on collaborative filtrationand other auxiliary knowledge base is an effective way to improve the performance of the recommended system, of which the Co-Factorization Model(CoFM) is one representative research. CoFM, a fusion recommendation modelcombining the collaborative filtering model FM and the graph embeddingmodel TransE, introduces the information of many entities and their relationsin the knowledge graph into the recommendation system as effective auxiliaryinformation. It can effectively improve the accuracy of recommendations andalleviate the problem of sparse user historical interaction data. Unfortunately,the graph-embedded model TransE used in the CoFM model cannot solve the1-N, N-1, and N-N problems well. To tackle this problem, a novel fusion recommendation model Joint Factorization Machines and TransH Model (JFMH) isproposed, which improves CoFM by replacing the TransE model with TransHmodel. A large number of experiments on two widely used benchmark data setsshow that compared with CoFM, JFMH has improved performance in terms ofitem recommendation and knowledge graph completion, and is more competitivethan multiple baseline methods.

关键词： Fusion recommendation system knowledge graph graph embedding

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Boosting Monolayer Transition Metal Dichalcogenides Growth by Hydrogen-Free Ramping during Chemical Vapor Deposition

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Nano Letters 2024年第27期24卷 8277-8286页

作者： Liu, Hongwei Zhang, Tianyi Wu, Peng Lee, Hae Won Liu, Zhenjing Tang, Tsz Wing Tang, Shin-Yi Kang, Ting Park, Ji-Hoon Wang, Jun Zhang, Kenan Zheng, Xudong Peng, Yu-Ren Chueh, Yu-Lun Liu, Yuan Palacios, Tomás Kong, Jing Luo, Zhengtang Department of Chemical and Biological Engineering Guangdong-Hong Kong-Macao Joint Laboratory for Intelligent Micro-Nano Optoelectronic Technology William Mong Institute of Nano Science and Technology and Hong Kong Branch of Chinese National Engineering Research Center for Tissue Restoration and Reconstruction The Hong Kong University of Science and Technology Kowloon999077 Hong Kong Department of Electrical Engineering and Computer Science Massachusetts Institute of Technology CambridgeMA02139 United States Department of Materials Science and Engineering Massachusetts Institute of Technology CambridgeMA02139 United States Department of Materials Science and Engineering National Tsing-Hua University Hsinchu30013 Taiwan Department of Materials Science and Engineering Korea University Seoul02841 Korea Republic of Key Laboratory for Micro-Nano Optoelectronic Devices of Ministry of Education School of Physics and Electronics Hunan University Changsha410082 China

The controlled vapor-phase synthesis of two-dimensional (2D) transition metal dichalcogenides (TMDs) is essential for functional applications. While chemical vapor deposition (CVD) techniques have been successful for transition metal sulfides, extending these methods to selenides and tellurides often faces challenges due to uncertain roles of hydrogen (H2) in their synthesis. Using CVD growth of MoSe2 as an example, this study illustrates the role of a H2-free environment during temperature ramping in suppressing the reduction of MoO3, which promotes effective vaporization and selenization of the Mo precursor to form MoSe2 monolayers with excellent crystal quality. As-synthesized MoSe2 monolayer-based field-effect transistors show excellent carrier mobility of up to 20.9 cm2/(V·s) with an on-off ratio of 7 × 107. This approach can be extended to other TMDs, such as WSe2, MoTe2, and MoSe2/WSe2 in-plane heterostructures. Our work provides a rational and facile approach to reproducibly synthesize high-quality TMD monolayers, facilitating their translation from laboratory to manufacturing. © 2024 American Chemical Society.

关键词： Monolayers

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Exploring the potentiality of future standard candles and standard sirens to detect cosmic opacity

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Chinese Physics C 2021年第6期45卷 209-219页

作者： Xiangyun Fu Lu Zhou Jianfei Yang Zhen-Yan Lu Ying Yang Guo Tang Institute of Physics Hunan University of Science and TechnologyXiangtan 411201China Aumanities Quality Teaching Department Hunan Software Vocational InstituteXiangtan 411100China

In this work,we explore the potentiality of future gravitational wave(GW)and Type la supermovae(SNe la)measurements to detect cosmic opacity by comparing the opacity-free luminosity distance(LD)of GW events with the opacity-dependent LD of SNe la *** GW data are simulated from the future measurements of the ground-based Einstein Telescope(ET)and the space-borne Deci-Herz Interferometer Gravitational wave Obser-vatory(DECIGO).The SNe la data are simulated from the observations of the Wide Field Infrared Survey Tele-scope(WFIRST)that will be collected over the next few decades.A binning method is adopted to match the GW data with the SNe la data at the same redshift z with a sclection criterion|△z|<0.005,and most of the available data from the GW measurements is employed to detect cosmic opacity due to improvements in the distribution of the fu-ture SNe la *** show that the uncertainties of the constraints on cosmic opacity can be reduced toσe~0.0041 and 0.0014 at the lσconfidence level(CL)for 1000 data points from the ET and DECIGO measure-ments,*** with the allowable limits of intergalactic opacity obtained from quasar continum ob-servations,these future astronomical observations can be used to verify the cosmic *** this way,GW and SNe la measurements can be used as important and effective tools to detect cosmic opacity in the future.

关键词： cosmic opacity gravitational wave Type la supemovae

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Research on dynamic optimization method of embedded multi-core performance based on runtime

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Recent Patents on Engineering 2021年第3期15卷 356-365页

作者： Huang, Ying Fang, Xiaoyong Zeng, Yihuang Huang, Zhixin Guo, Hongtao Computer and Information Science Department Hunan Institute of Technology Hengyang China Safety and Environment Engineering Department Hunan Institute of Technology Hengyang China Electric and Information Engineering Department University of South China Hengyang China

Embedded multi-core systems often show special limitations in sharing resources and storage capacity, which will lead to the reduction of parallel efficiency due to bandwidth, data competition and other factors. In this paper, a run-time optimization framework is proposed to dynamically and adaptively adjust parallel strategies according to the structure of different parallel pro-grams. On the one hand, the performance analysis model of a parallel program structure is established to get the number of threads during the best performance. On the other hand, in view of the load imbalance in parallel thread execution, an adaptive dynamic scheduling algorithm is proposed to dynamically select the size of the scheduling block. Experimental results show that the proposed dynamic scheduling strategy can improve program performance and achieve improvement of the performance of the embedded multi-core system. Background: Embedded multi-core systems often have special limitations in sharing resources and storage capacity. These limitations often lead to parallel programs running with lower parallel efficiency due to bandwidth, data competition and other factors. Objective: In order to improve the performance of embedded multi-core systems, parallel strategies can be adjusted dynamically and adaptively for different parallel program structures. Methods: A control mechanism of the thread count based on runtime information feedback is pro-posed, which enables the system to dynamically select the number of threads when the program runs best according to the structure characteristics of parallel programs. Then, an adaptive dynamic scheduling algorithm is proposed to solve the load imbalance in parallel program execution. Results: An optimization framework based on run-time architecture is presented, which consists of two parts: performance monitoring and control interface. It can take corresponding optimization strategies according to the running state of parallel programs. Conclus

关键词： Bandwidth

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MCDS: An Effective Multi-UAV Collaborative Decision-Making System in Mobile Edge Computing Networks

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IEEE Internet of Things Journal 2025年

作者： Xiong, Naixue Zhong, Weiyu Chen, Yuxiang He, Dacheng Li, Yuhui Chen, Linshu Liang, Wei Sanya Research Institute of Hunan University of Science and Technology School of Computer Science and Engineering Hunan University of Science and Technology Hunan Key Laboratory for Service Computing and Novel Software Technology China Sanya Research Institute of Hunan University of Science and Technology Hunan University School of Computer Science and Engineering Hunan University of Science and Technology Hunan Key Laboratory for Service Computing and Novel Software Technology School of Information Science and Engineering China The Hong Kong Polytechnic University Department of Computing Hong Kong

Mobile Edge Computing (MEC) pushes computing resources from the network center to the network edge to provide efficient and reliable computing services. However, due to the mobility and diversity of mobile users (MUs), edge servers (ESs) are likely to be overloaded, which leads to a rapid decline in the quality of service provided by the MEC system. This paper introduces unmanned aerial vehicles (UAVs) to solve the problem of ES overload. This paper presents an effective Multi-UAV Collaborative Decision-Making System (MCDS) tailored to optimize task offloading and resource allocation in MEC networks. The proposed system seeks to reduce task computing delays and energy consumption while guaranteeing timely task completion and compliance with resource constraints. We design a distributed two-stage optimization algorithm to jointly optimize the task offloading decision and resource allocation of the collaborative computing system (UAVs, ESs, and MUs). To address the flight cooperation problem of multi-UAVs, we also proposed a task-aware scheduling algorithm for multi-UAVs. In addition, we conducted a large number of simulation experiments. Experimental results show that our two-stage optimization scheme is lower than other benchmark algorithms in terms of task completion delay, energy consumption and total cost of objective function. Specifically, compared with seven baseline algorithms under three different system setting scenarios, our algorithm reduces the total cost by an average of 38.79%, the energy consumption by an average of 40.70%, and the delay by an average of 15.67%. © 2014 IEEE.

关键词： Drones

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Modeling the External,Internal,and Multi-Center Transmission of Infectious Diseases:The COVID-19 Case

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Journal of Social Computing 2022年第2期3卷 171-181页

作者： Xiaojing Guo Hui Zhang Luyao Kou Yufan Hou the Institute of Public Safety Research Tsinghua UniversityBeijing 100084China the Department of Computer Science and Technology Tsinghua UniversityBeijing 100084China

We used the Bass model to investigate the transmission dynamics of COVID-19 taking the United States and China as *** Bass model was originated from business literature and initially modeled the process of new products getting adopted by the population with an external and internal influence ***,we fit the cumulative number of confirmed COVID-19 cases in 8 major cities in the United States with the Bass *** external and internal parameters of Bass were calculated and correlation analyses were performed between the parameters and the volume of traveling across different cities and within a *** results show that the Bass model fits the epidemics data better than the logistic distribution which only has an internal influence term and the SIR model which is a classical infectious disease ***,there is a significant positive correlation between the external parameter of Bass and the number of passengers at the airport as well as between the internal parameter of Bass and the number of short-distance trips in a ***,it is closer to true circumstances considering both external and internal transmission rather than assuming a region to be *** external infection rate rises as the number of enplanements rises and the internal infection rate rises as the number of short-distance trips in a city ***,we put forward an adapted multi-center Bass model for the multi-chain COVID-19 transmission in China and compared it with the original Bass *** results indicated that the accuracy of the multi-center Bass model was higher than that of the original Bass *** conclusion,the Bass model distinguishes the external and internal effects and is suitable for simulating the spread of COVID-19 and analyzing the infection rate caused by social interactions among different regions and inside a *** adapted multi-center Bass model commendably described disease transmission when there is more than one transmission cent

关键词： COVID-19 diffusion models correlation analysis epidemics

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Mechanical behavior of sandstone during post-peak cyclic loading and unloading under hydromechanical coupling

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International Journal of Mining science and technology 2023年第8期33卷 927-947页

作者： Yanlin Zhao Jinhai Liu Chunshun Zhang Houquan Zhang Jian Liao Sitao Zhu Lianyang Zhang School of Resources Environment and Safety EngineeringHunan University of Science and TechnologyXiangtan 411201China School of Emergency Technology and Management North China Institute of Science and TechnologyBeijing 101601China School of Civil Engineering Wuhan UniversityWuhan 430072China State Key Laboratory for Geomechanics and Deep Underground Engineering School of Mechanics and Civil EngineeringChina University of Mining and TechnologyXuzhou 221116China School of Civil and Resource Engineering University of Science and Technology BeijingBeijing 100083China Department of Civil and Architectural Engineering and Mechanics University of ArizonaTucsonAZ 85721USA

This paper investigates mechanical behaviours of sandstone during post-peak cyclic loading and unloading subjected to hydromechanical coupling effect, confirming the peak and residual strengths reduction laws of sandstone with water pressure, and revealing the influence of water pressure on the upper limit stress and deformation characteristics of sandstone during post-peak cyclic loading and *** the rock strength, the experimental study confirms that the peak strength σ_(p) and residual strength σ_(r) decrease as water pressure P increases. Especially, the normalized strength parameters σ_(p)/σ_(pk) and σ_(r)/σ_(re) was negatively and linearly correlated with the P/σ_(3). Moreover, the Hoek-Brown strength criterion can be applied to describe the relationship between effective peak strength and effective confining stress. During post-peak cyclic loading and unloading, both the upper limit stress σ_(p(i)) and crack damage threshold stress σ_(cd(i)) of each cycle tend to decrease with the increasing cycle number. A hysteresis loop exists among the loading and unloading stress–strain curves, indicating the unloading deformation modulus E_(unload) is larger than the loading deformation modulus E_(load). Based on experimental results,a post-peak strength prediction model related to water pressure and plastic shear strain is established.

关键词： Post-peak stage Cyclic loading and unloading Hydromechanical coupling Sandstone Water pressure

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Cau-Net: Enhancing Medical Image Segmentation With Contour-Guided Attention for Accurate Stroke Prediction 2

Cau-Net: Enhancing Medical Image Segmentation With Contour-G...

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2nd IEEE International Conference on Integrated Intelligence and Communication Systems, ICIICS 2024

作者： Annamalai, Sivakumar Priya, T. Nandhini Deepika, J. Jeevitha, R. Priyanka, B. Richard, Titus Department of Safety and Fire Engineering Excel Engineering College Namakkal Komarapalayam India Department of Electrical and Electronics Engineering Excel Engineering College Namakkal Komarapalayam India Department of Information Technology Sona College of Technology Salem India Department of Computer Science and Engineering KPR Institute of Engineering and Technology Coimbatore India Department of English Vels Institute of Science Technology & Advance Studies Chennai India

ISBN: (纸本)9798331504960

Accurate segmentation of medical images is necessary for accurate diagnosis and treatment planning. The achievement of the precise boundaries in complex anatomical structures is difficult. In this paper, a novel hybrid segmentation model called Contour-Guided Attention U-Net (CAU-Net) is proposed by combining the traditional region-based active contour models with the advanced deep learning capabilities of Attention U-Net. CAU-Net employs an active contour model that generates an initial segmentation mask that provides the boundary awareness needed to steer the attention U-Net refinement. The use of attention mechanisms will be allowed with the selective features on the regions of interest identified by active contours in order to refine it to high accuracy of results in segmentation. It was tested on a Kaggle MRI dataset of medical images, including stroke prediction tasks, and performed better in boundary accuracy and overall segmentation quality than standalone Attention U-Net and active contour models. In stroke prediction, the CAU-Net achieved 98.3% segmentation accuracy and a Dice coefficient of 0.87 in detecting stroke lesions and delineating fine anatomical details. From the results, the hybrid approach significantly amplifies the contour adherence in addition to contextual sensitivity such that these are effective methods in such complex segmentation task especially those in medical applications. © 2024 IEEE.

关键词： Image segmentation

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AMSFuse:Adaptive Multi-Scale Feature Fusion Network for Diabetic Retinopathy Classification

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computers, Materials & Continua 2025年第3期82卷 5153-5167页

作者： Chengzhang Zhu Ahmed Alasri Tao Xu Yalong Xiao Abdulrahman Noman Raeed Alsabri Xuanchu Duan Monir Abdullah School of Computer Science and Engineering Central South UniversityChangsha410083China School of Humanities Central South UniversityChangsha410083China Department of Human Anatomy and Histology & Embryology Basic Medical SciencesChangsha Health Vocational CollegeChangsha410100China Glaucoma Institute Changsha Aier Eye HospitalChangsha410000China Department of Computer Science and Artificial Intelligence College of Computing and Information TechnologyUniversity of BishaBisha67714Saudi Arabia

Globally,diabetic retinopathy(DR)is the primary cause of blindness,affecting millions of people *** widespread impact underscores the critical need for reliable and precise diagnostic techniques to ensure prompt diagnosis and effective *** learning-based automated diagnosis for diabetic retinopathy can facilitate early detection and ***,traditional deep learning models that focus on local views often learn feature representations that are less discriminative at the semantic *** the other hand,models that focus on global semantic-level information might overlook critical,subtle local pathological *** address this issue,we propose an adaptive multi-scale feature fusion network called(AMSFuse),which can adaptively combine multi-scale global and local features without compromising their individual ***,our model incorporates global features for extracting high-level contextual information from retinal ***,local features capture fine-grained details,such as microaneurysms,hemorrhages,and exudates,which are critical for DR *** global and local features are adaptively fused using a fusion block,followed by an Integrated Attention Mechanism(IAM)that refines the fused features by emphasizing relevant regions,thereby enhancing classification accuracy for DR *** model achieves 86.3%accuracy on the APTOS dataset and 96.6%RFMiD,both of which are comparable to state-of-the-art methods.

关键词： Diabetic retinopathy multi-scale feature fusion global features local features integrated attention mechanism retinal images

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Correlations between mineral composition and mechanical properties of granite using digital image processing and discrete element method

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International Journal of Mining science and technology 2023年第8期33卷 949-962页

作者： Changdi He Brijes Mishra Qingwen Shi Yun Zhao Dajun Lin Xiao Wang Department of Mining Engineering University of UtahSalt Lake City 84112USA College of Mine Safety North China Institute of Science and TechnologyLangfang 065201China Department of Mining Engineering West Virginia UniversityMorgantown 26506USA Department of Electrical and Computer Engineering University of UtahSalt Lake City 84112USA College of Energy and Mining Engineering Shandong University of Science and TechnologyQingdao 266590China

This study investigated the correlations between mechanical properties and mineralogy of granite using the digital image processing(DIP) and discrete element method(DEM). The results showed that the X-ray diffraction(XRD)-based DIP method effectively analyzed the mineral composition contents and spatial distributions of granite. During the particle flow code(PFC2D) model calibration phase, the numerical simulation exhibited that the uniaxial compressive strength(UCS) value, elastic modulus(E), and failure pattern of the granite specimen in the UCS test were comparable to the experiment. By establishing 351 sets of numerical models and exploring the impacts of mineral composition on the mechanical properties of granite, it indicated that there was no negative correlation between quartz and feldspar for UCS, tensile strength(σ_(t)), and E. In contrast, mica had a significant negative correlation for UCS, σ_(t), and E. The presence of quartz increased the brittleness of granite, whereas the presence of mica and feldspar increased its ductility in UCS and direct tensile strength(DTS) tests. Varying contents of major mineral compositions in granite showed minor influence on the number of cracks in both UCS and DTS tests.

关键词： Granite Digital image processing Discrete element method Mineral composition Mechanical properties

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