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A PERT-BiLSTM-Att Model for Online Public Opinion Text Sentiment Analysis

Intelligent Automation & Soft Computing 2023年第8期37卷 2387-2406页

作者： Mingyong Li Zheng Jiang Zongwei Zhao longfei ma College of Computer and Information Science Chongqing Normal UniversityChongqing401331China

As an essential category of public event management and control,sentiment analysis of online public opinion text plays a vital role in public opinion early warning,network rumor management,and netizens’person-ality portraits under massive public opinion *** traditional sentiment analysis model is not sensitive to the location information of words,it is difficult to solve the problem of polysemy,and the learning representation ability of long and short sentences is very different,which leads to the low accuracy of sentiment *** paper proposes a sentiment analysis model PERT-BiLSTM-Att for public opinion text based on the pre-training model of the disordered language model,bidirectional long-term and short-term memory network and attention *** model first uses the PERT model pre-trained from the lexical location information of a large amount of corpus to process the text data and obtain the dynamic feature representation of the *** the semantic features are input into BiLSTM to learn context sequence information and enhance the model’s ability to represent long ***,the attention mechanism is used to focus on the words that contribute more to the overall emotional tendency to make up for the lack of short text representation ability of the traditional model,and then the classification results are output through the fully connected *** experimental results show that the classification accuracy of the model on NLPCC14 and weibo_senti_100k public data sets reach 88.56%and 97.05%,respectively,and the accuracy reaches 95.95%on the data set MDC22 composed of Meituan,Dianping and Ctrip *** proves that the model has a good effect on sentiment analysis of online public opinion texts on different *** experimental results on different datasets verify the model’s effectiveness in applying sentiment analysis of *** the same time,the model has a strong generalization ability and can achieve good results

关键词： Natural language processing PERT pre-training model emotional analysis BiLSTM

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TECMH:Transformer-Based Cross-Modal Hashing For Fine-Grained Image-Text Retrieval

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Computers, materials & Continua 2023年第5期75卷 3713-3728页

作者： Qiqi Li longfei ma Zheng Jiang Mingyong Li Bo Jin College of Computer and Information Science Chongqing Normal UniversityChongqing401331China Institute of Systems and Robotics(ISR) Department of Electrical and Computer Engineering(DEEC)University of CoimbraCoimbraPortugal

In recent years,cross-modal hash retrieval has become a popular research field because of its advantages of high efficiency and low ***-modal retrieval technology can be applied to search engines,crossmodalmedical processing,*** existing main method is to use amulti-label matching paradigm to finish the retrieval ***,such methods do not use fine-grained information in the multi-modal data,which may lead to suboptimal *** avoid cross-modal matching turning into label matching,this paper proposes an end-to-end fine-grained cross-modal hash retrieval method,which can focus more on the fine-grained semantic information of multi-modal ***,the method refines the image features and no longer uses multiple labels to represent text features but uses BERT for ***,this method uses the inference capabilities of the transformer encoder to generate global fine-grained ***,in order to better judge the effect of the fine-grained model,this paper uses the datasets in the image text matching field instead of the traditional label-matching *** article experiment on Microsoft COCO(MS-COCO)and Flickr30K datasets and compare it with the previous *** experimental results show that this method can obtain more advanced results in the cross-modal hash retrieval field.

关键词： Deep learning cross-modal retrieval hash learning transformer

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Building up 1-D, 2-D, and 3-D Polyiodide Frameworks by Finely Tuning the Size of Aryls on Ar-S-TTF in the Charge-Transfer （CT） Complexes of Ar-S-TTFs and Iodine

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Chinese Journal of Chemistry 2018年第9期36卷 845-850页

作者： longfei ma Haili Peng Xiaofeng Lu Lei Liu Xiangfeng Shao State Key Laboratory of Applied Organic Chemistry Lanzhou University Lanzhou Gansu 730000 China

The arylthio-substituted tetrathiafuivalenes （Ar-S-TTFs） are electron donors having three reversible states, neutral, cation radical, and dica- tion. The charge-transfer （CT） between Ar-S-TTFs （TTF1--TTF3） and iodine （12） is reported herein. TTF1--TTF3 show the CT with 12 in the CH2C12 solution, but they are not completely converted into cation radical state. In CT complexes of TTF1--TTF3 with 12, the charged states of Ar-S-TTFs are distinct from those in solution. TTF1 is at cation radical state, and TTF2--TTF3 are oxidized to dication. The iodine components in complexes show various structures including 1-D chain of V-shaped （Is）-, and 2-D and 3-D iodine networks composed of 12 and （13）^- .

关键词： polyiodide tetrathiafulvalene charge-transfer complex crystal engineering halogen bond

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Digital Twin-Assisted Knowledge Distillation Framework for Heterogeneous Federated Learning

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China Communications 2023年第2期20卷 61-78页

作者： Xiucheng Wang Nan Cheng longfei ma Ruijin Sun Rong Chai Ning Lu School of Telecommunications Engineering Xidian UniversityXi’an 710071China Chongqing Key Laboratory of Mobile Communications Technology Chongqing University of Posts and TelecommunicationsChongqing 400065China Department of Electrical and Computer Engineering Queen’s UniversityKingston K7L 3N6OntarioCanada

In this paper,to deal with the heterogeneity in federated learning(FL)systems,a knowledge distillation(KD)driven training framework for FL is proposed,where each user can select its neural network model on demand and distill knowledge from a big teacher model using its own private *** overcome the challenge of train the big teacher model in resource limited user devices,the digital twin(DT)is exploit in the way that the teacher model can be trained at DT located in the server with enough computing ***,during model distillation,each user can update the parameters of its model at either the physical entity or the digital *** joint problem of model selection and training offloading and resource allocation for users is formulated as a mixed integer programming(MIP)*** solve the problem,Q-learning and optimization are jointly used,where Q-learning selects models for users and determines whether to train locally or on the server,and optimization is used to allocate resources for users based on the output of *** results show the proposed DT-assisted KD framework and joint optimization method can significantly improve the average accuracy of users while reducing the total delay.

关键词： federated learning digital twin knowledge distillation heterogeneity Q-learning convex optimization

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An Analysis Model of Learners’ Online Learning Status Based on Deep Neural Network and Multi-Dimensional Information Fusion

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Computer Modeling in Engineering & Sciences 2023年第6期135卷 2349-2371页

作者： Mingyong Li Lirong Tang longfei ma Honggang Zhao Jinyu Hu Yan Wei College of Computer and Information Science Chongqing Normal UniversityChongqing401331China Chongqing Engineering Research Center of Educational Big Data Intelligent Perception and Application Chongqing401331China

The learning status of learners directly affects the quality of *** with offline teachers,it is difficult for online teachers to capture the learning status of students in the whole class,and it is even more difficult to continue to pay attention to studentswhile ***,this paper proposes an online learning state analysis model based on a convolutional neural network and multi-dimensional information ***,a facial expression recognition model and an eye state recognition model are constructed to detect students’emotions and fatigue,*** integrating the detected data with the homework test score data after online learning,an analysis model of students’online learning status is *** to the PAD model,the learning state is expressed as three dimensions of students’understanding,engagement and interest,and then analyzed from multiple ***,the proposed model is applied to actual teaching,and procedural analysis of 5 different types of online classroom learners is carried out,and the validity of the model is verified by comparing with the results of the manual analysis.

关键词： Deep learning fatigue detection facial expression recognition sentiment analysis information fusion

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High magnetic energy product in isotropic nanocomposite powders with high percent of soft phase towards ultrastrong magnets

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Journal of materials Science & Technology 2023年第13期144卷 161-167页

作者： longfei ma Wei Quan Jinkui Fan Yanbai Chen Qiang Zheng Baoru Bian Jian Zhang Juan Du Institute of materials School of Materials Science and EngineeringShanghai UniversityShanghai 200444China Ningbo Institute of material Technology&Engineering Chinese Academy of SciencesNingbo 315201China

Nanostructure of magnetically hard and soft materials is fascinating for exploring next-generation ul-trastrong permanent magnets with less expensive rare-earth ***,the resulting hard/soft nanocomposites often exhibit a low remanence/energy product due to the challenge in obtaining ideal phase components and appropriate soft phase *** this work,a novel microstructure of multiple phases consisting of 1:5 phase and 1:3 phase as main hard phase,and a high ratio of Fe(Co)(27 wt.%-48 wt.%)as soft phase was obtained in Sm-Co(Fe)/Fe nanocomposite *** grain size of both hard and soft phases below 15 nm was *** optimal energy product for Sm-Co(Fe)/Fe(Co)nanocom-posite is 2.1 times(an increment of 107%)of the corresponding single-hard-phase powders without soft *** reports that the isotropic nanocomposite powders exhibit a record of magnetic energy product larger than 25 MGOe(the highest value is 28.6 MGOe).The high performance and the microstructure achieved in this work for the isotropic powders will shed light on and provide a good premise for syn-thesizing high performance anisotropic bulk nanocomposite magnets.

关键词： Nanocomposite Sm-Co(Fe)/Fe(Co) Microstructure Phase composition Phase fraction magnetic energy product

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High energy product of isotropic bulk Sm-Co/α-Fe(Co)nanocomposite magnet with multiple hard phases and nanoscale grains

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Journal of materials Science & Technology 2021年第29期88卷 183-188页

作者： Shuo Li longfei ma Jinkui Fan Jianping Yang Qiang Zheng Baoru Bian Jian Zhang Juan Du Institute of materials School of Materials Science and EngineeringShanghai UniversityShanghai200444China Ningbo Institute of material Technology&Engineering Chinese Academy of SciencesNingbo315201China

Nanocomposite magnets consisting of hard and soft magnetic phases have potential applications to be the next generation of permanent magnets with very high energy product and less expensive rare-earth *** it is still a big challenge to obtain bulk magnets with ideal microstructure and high *** this work,two-step warm processing at relative low temperatures had been adopted to obtain nearly theoretical density bulk nanocomposite magnets from amorphous/nanocrystalline powder *** nanostructures consisting of multiple Sm-Co hard phases(SmCo_(5)as main phase,SmCO_(3),SmCo_(7),Sm_(2)Co_(17)as minor phases)and 25 wt%α-Fe(Co)soft phase,nanoscale grain size below 20 nm for both the hard phase and soft phase,and the diffusion of Fe and Co compositions had been obtained in bulk isotropic *** the ideal nanostructures,a high coercivity of 5.9 kOe,M_(r)/M_(s)value of 0.78 and a high square degree of demagnetization curve S=0.47 were *** of these factors together brought a new record-high energy product(BH)_(max)of 23.6 *** results make an important step toward fabricating novel nanostructure with high performance.

关键词： Hard/soft phase nanocomposite Isotropic bulk magnetic properties Grain size Phase constitution

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Research on the neutralization control of the RF ion micropropulsion system for the‘Taiji-1’satellite mission

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Plasma Science and Technology 2020年第9期22卷 12-17页

作者： Jianwu HE Peng LIU Runlian GAO Changbin XUE longfei ma Li DUAN Qi KANG National Micro Gravity Laboratory Institute of MechanicsChinese Academy of SciencesBeijing 100190People's Republic of China 2 Department of Physics&Tsinghua-Foxconn Nanotechnology Research Center Tsinghua UniversityBeijing 100084People’s Republic of China National Space Science Center Chinese Academy of SciencesBeijing 100190People's Republic of China School of Engineering Sciences University of Chinese Academy of SciencesBeijing 100049People's Republic of China

To achieve the neutralization control requirements of the radio-frequency(RF)ion microthruster(μRIT)in the‘Taiji-1’satellite mission,we proposed an active neutralization control solution that is based on the carbon nanotube field emission *** carbon nanotube field emission neutralizer(CNTN)has the characteristics of light weight,small size,and propellantless,which is especially suitable for the neutralization control tasks of ion *** Institute of Mechanics,Chinese Academy of Sciences,in collaboration with Tsinghua University,has successfully developed a CNTN to meet mission *** the ground,the feasibility of cooperation working betweenμRIT and CNTN was fully verified,as well as the simulation and experimental study of neutralization control strategy,which finally passed the engineering assessment *** the launch of‘Taiji-1’satellite on 31 August,2019,the RF ion micropropulsion system has successfully completed nearly one hundred test missions in *** test results indicate that CNTN does not have performance degradation,and the neutralization control strategy is effective.

关键词： CNT cathode neutralization micropropulsion Taiji-1

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Research on the Impact of Digital Transformation on the Performance of manufacturing Enterprises

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Proceedings of Business and Economic Studies 2024年第4期7卷 16-22页

作者： longfei ma Thanaphon Ratchatakulpat Gumporn Supasettaysa PhD Candidate Faculty of Business AdministrationRajamangala University of Technology PranakornBangkok 10100Thailand Faculty of Business Administration Rajamangala University of Technology PranakornBangkok 10100Thailand

To address the challenges faced by manufacturing enterprises in digital transformation,this paper analyzes the relationship between digital transformation and enterprise *** panel data from domestic A-share-listed manufacturing enterprises from 2012 to 2022,two hypotheses were *** analysis and verification revealed that digital transformation in manufacturing enterprises can enhance performance and reduce *** on the impact of digital transformation on manufacturing enterprise performance,optimization suggestions are proposed to guide future digital transformation and performance improvement efforts in these enterprises.

关键词： Digital transformation manufacturing enterprise Performance Costs

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Calculation of Space NURBS Curve Interpolation Error

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Journal of Computer and Communications 2020年第6期8卷 1-9页

作者： Liangji Chen Fei Gao Bo Zhao longfei ma School of Mechanical Engineering Tiangong University Tianjin China

Aiming at the problem of low accuracy of interpolation error calculation of existing NURBS curves, an approximate method for the distance between a point and a NURBS interpolation curve is proposed while satisfying the accuracy of the solution. Firstly, the minimum parameter interval of the node vector corresponding to the data point under test in the original data point sequence is determined, and the parameter interval is subdivided according to the corresponding step size, and the corresponding parameter value is obtained. Secondly, the distance from the measured point to the NURBS curve is calculated, and the nearest distance is found out. The node interval is subdivided again on one side of the nearest distance. Finally, the distance between the data point to be measured and each subdivision point is calculated again, and the minimum distance is taken as the interpolation error between the point and the NURBS curve. The simulation results of actual tool position data show that this method can more accurately obtain the error of spatial NURBS interpolation curve.

关键词： Computer-Aided Design NURBS Interpolation Curve Interpolation Error Approximation Solution

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