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International Conference on Audio, Language and Image Processing, ICALIP

作者： Xiao Sun Chengcheng Li Anhui Province Key Laboratory of Affective Computing and Advanced Intelligent Machine Hefei University of Technology Hefei China

ISBN: (纸本)9781479939046

Through analysis and study of emotional characteristics in Chinese micro-blog, such as Sina Weibo, this paper proposed a multidimensional sentiment classification method based on micro-blog emoticon by dividing micro-blog into 7 types of emotions categories: happiness, fondness, sorrow, anger, fear, detestation and surprise. We used predefined micro-blog emoticon sets to initial screen large-scale unmarked data, and automatically labeled them, then used this emotional corpus as training set to train the emotion classifier, which divided micro-blog data into multiple emotion categories. The experimental results show that accuracy rate of using unigram model for each class can reach 63.7%. And the adoption of different feature selection methods for Support Vector Machines and Naive Bias classifier experiment, by which the obtained accuracy rate and recall rate has reached higher than 71%.

关键词： Accuracy Blogs Support vector machines Twitter Niobium Educational institutions Training

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FRUIT RECOGNITION BASED ON MULTI-FEATURE AND MULTI-DECISION

FRUIT RECOGNITION BASED ON MULTI-FEATURE AND MULTI-DECISION

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2014 IEEE 3rd International Conference on Cloud computing and Intelligence Systems

作者： Xiaohua Wang Wei Huang Chao Jin Min Hu Fuji Ren Affective Computing and Advanced Intelligent Machines Anhui Key Laboratory School of Computer and Information Hefei University of Technology

In order to overcome the existing fruit recognition method only for single feature recognition which leads the problem of lower recognition rate,this paper proposes a recognition method based on multi-feature and ***,we preprocess the fruit image which is to be classified,separateing foreground and background,and then we divide the target ***,in order to take full advantage of multi-independence and complementarity between features,we extract the color,shape and texture of fruits image and put these features into the BP neural network to ***,the results of different features are put into the decision-making mechanisms to obtain a final recognition *** experiment results on object library and self-built library that is built by ourselves show that the method has good identification ability to fruit recognition and achieve the goal to identify different fruit.

关键词： fruit features BP neural network multi-feature multi-decision

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PanGu Drug Model: learn a molecule like a human

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Science China(Life Sciences) 2023年第4期66卷 879-882页

作者： Xinyuan Lin Chi Xu Zhaoping Xiong Xinfeng Zhang Ningxi Ni Bolin Ni Jianlong Chang Ruiqing Pan Zidong Wang Fan Yu Qi Tian Hualiang Jiang Mingyue Zheng Nan Qiao Laboratory of Health Intelligence Huawei Cloud Computing Technologies Co.LtdGuizhou 550025China Shanghai Institute for Advanced Immunochemical Studies and School of Life Science and TechnologyShanghaiTech UniversityShanghai 200031China Drug Discovery and Design Center State Key Laboratory of Drug ResearchShanghai Institute of Materia MedicaChinese Academy of SciencesShanghai 201203China

Dear Editor,Recent achievements in large-scale pre-trained models like GPT-3 and PanGu-α have demonstrated astounding performances in many downstream tasks of natural language processing (NLP),confirming AI to be user-oriented for even industrial *** learning has been recognized as the most promising technology for pharmaceuticals,a powerful molecule pre-trained model that could economize researchers’tons of *** the strategic application of AI capabilities to the drug discovery field,we pre-trained a model called PanGu Drug Model with 1.7 billion small molecules from ZINC20 (Irwin et al.,2020),DrugSpaceX(Yang et al.,2021),and UniChem (Chambers et al.,2013).

关键词： fir trained strategic

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Multi-Objective Optimal Feedback Controls for Under-Actuated Dynamical System

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Journal of Shanghai Jiaotong university(Science) 2020年第5期25卷 545-552页

作者： QIN Zhichang XIN Ying SUN Jianqiao School of Transportation and Vehicle Engineering Shandong University of TechnologyZibo 255000ShandongChina School of Mechanical Engineering Tianjin University of TechnologyTianjin 300384China Tianjin Key Laboratory for Advanced Mechatronic System Design and Intelligent Control Tianjin University of TechnologyTianjin 300384China School of Engineering University of California MercedCA 95343USA

This paper presents a study of optimal control design for a single-inverted pendulum(SIP)system with the multi-objective particle swarm optimization(MOPSO)*** proportional derivative(PD)control algorithm is utilized to control the *** the SIP system is nonlinear and the output(the pendulum angle)cannot be directly controlled(it is under-actuated),the PD control gains are not tuned with classical *** this work,the MOPSO method is used to obtain the best PD *** use of multi-objective optimization algorithm allows the control design of the system without the need of linearization,which is not provided by using classical *** multi-objective optimal control design of the nonlinear system involves four design parameters(PD gains)and six objective functions(time-domain performance indices).The HausdorfF distances of consecutive Pareto sets,obtained in the MOPSO iterations,are computed to check the convergence of the MOPSO *** MOPSO algorithm finds the Pareto set and the Pareto front *** simulations and experiments of the rotary inverted pendulum system are done to verify this design *** and experimental results show that the multi-objective optimal controls offer a wide range of choices including the ones that have comparable performances to the linear quadratic regulator(LQR)control.

关键词： multi-objective optimal control under-actuated system particle swarm optimization(PSO) rotary inverted pendulum

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Multiscale Bilateral Attention Fusion Network for Pansharpening

IEEE Transactions on Artificial Intelligence

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IEEE Transactions on Artificial Intelligence 2024年第11期5卷 5828-5843页

作者： Guo, Zhongyuan Li, Jiawei Lei, Jia Liu, Jinyuan Zhou, Shihua Wang, Bin Kasabov, Nikola K. Dalian University Key Laboratory of Advanced Design and Intelligent Computing Ministry of Education School of Software Engineering Dalian116622 China University of the Science and Technology Beijing School of Computer and Communication Engineering Beijing100083 China Dalian University of Technology School of Mechanical Engineering Dalian116024 China Auckland University of Technology Knowledge Engineering and Discovery Research Institute Auckland1061 New Zealand University of Ulster Intelligent Systems Research Center LondonderryBT48 7JL United Kingdom Bulgarian Academy of Sciences IICT Sofia1000 Bulgaria

High-resolution multispectral (HRMS) images combine spatial and spectral information originating from panchromatic (PAN) and reduced-resolution multispectral (LRMS) images. Pansharpening performs well and is widely used to obtain HRMS images. However, most pansharpening approaches determine the ratio of PAN and LRMS images through direct interpolation, which may introduce artifacts and distort the color of the fused results. To address this issue, an unsupervised progressive pansharpening framework, MSBANet, is proposed, which adopts a multistage fusion strategy. Each stage contains an attention interactive extraction module (AIEM) and a multiscale bilateral fusion module (MBFM). The AIEM extracts spatial and spectral features from input images and captures the correlations between features. The MBFM can efficiently integrate information from the AIEM and improve MSBANet context awareness. We design a hybrid loss function that enhances the ability of the fusion network to store spectral and texture details. In qualitative and quantitative experimental studies on four datasets, MSBANet outperformed state-of-the-art pansharpening techniques. The code will be released. © 2024 IEEE.

关键词： Data mining

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Flexible liquid metal electromagnetic shielding materials

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Science China(Technological Sciences) 2023年第10期66卷 2757-2774页

作者： BAI YunLong ZHANG Jie ZHANG MingKuan RAO Wei Key Laboratory of Cryogenics Technical Institute of Physics and ChemistryChinese Academy of SciencesBeijing 100190China Beijing Key Lab of CryoBiomedical Engineering and Key Lab of Cryogenics Technical Institute of Physics and ChemistryChinese Academy of SciencesBeijing 100190China School of Engineering Science University of Chinese Academy of SciencesBeijing 100039China School of Future Technology University of Chinese Academy of SciencesBeijing 100049China Tianjin Key Laboratory for Advanced Mechatronic System Design and Intelligent Control School of Mechanical EngineeringTianjin University of TechnologyTianjin 300384China National Demonstration Center for Experimental Mechanical and Electrical Engineering Education Tianjin University of TechnologyTianjin 300384China

The demand for flexible shielding has been rapidly growing in recent *** materials using solid metals,carbon materials,or MXenes as shielding units usually have difficulty in combining high shielding and flexibility(stretching and bending characteristics),and thus they gradually fail to meet the shielding needs of flexible ***,shielding materials with both flexibility and high conductivity are urgent to fill this ***-based room temperature liquid metal(LM)is an emerging functional material with a low melting point,low viscosity,low modulus,and easy ***,due to wettability and compatibility issues,it is difficult to apply bulk LMs directly in the field of electromagnetic shielding(EMS).The article reviews the fabrication methods,performance,and applications of LMs EMS materials from three perspectives:Macroscopic LMs,micro/nano-LMs,and LM-based *** gallium-based liquid EMS materials demonstrate the characteristics of high shielding performance with stretchability and a wide shielding *** this review,different types of gallium-based LM materials are described from macroscopic to microscopic,from liquid to semi-solid,from high density to low density,from room temperature to ultra-low temperature,and from monolayer structure to multilayer *** prospect of LM materials as amorphous high-performance EMS materials is demonstrated in various applications,such as mobile communication,astronomical observation,radar,and medical detection,showing tremendous potential in the EMS field.

关键词： liquid metal electromagnetic shielding flexibility

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The microstructure and mechanical properties analysis of H13/Ni60 functionally gradient coating fabricated by laser cladding method

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Optics & Laser Technology 2025年 190卷

作者： Zixuan Wang Bowen Fu Tianhang Chen Liaoyuan Chen Tianbiao Yu Jun Zhao School of Mechanical Engineering and Automation Northeastern University Shenyang 110819 People's Republic of China Liaoning Provincial Key Laboratory of High-end Equipment Intelligent Design and Manufacturing Technology Shenyang 110819 People's Republic of China School of Mechatronics Engineering Henan University of Science and Technology Luoyang 471000 People's Republic of China School of Advanced Manufacturing Sun Yat-sen University Shenzhen 518107 People's Republic of China

H13 mold steel has excellent hardenability, wear resistance, and thermal fatigue resistance. However, long-term high-temperature thermal load and friction loss will seriously affect the service life of the mold. Surface modification treatment can be used to repair the worn parts. In this study, the surface treatment of H13 mold steel was carried out by laser cladding method to improve its hardness and wear resistance. The H13/Ni60 functionally gradient coating was designed and obtained, and its structure and performance variation with composition were investigated. The optimal processing parameter combinations, including laser power of 400 W, powder feeding rate of 1.2 r/min, scanning speed of 4 mm/s, overlap rate of 23 %, and lifting amount of 0.42 mm, were obtained through orthogonal experiments and the equal area method. The microstructure and physical phase analysis were conducted, and the growth direction of the grains is along the normal direction to the melt pool boundary. With the gradual increase of Ni60 content, the grain structure becomes finer. The [Fe, Ni] and Cr 7 C 3 are produced and reach their maximum contents in the top surface of functionally gradient coating with 100 % Ni60. The average microhardness of the surface is 797.8 HV, which is 3.4 times higher than that of the substrate. Its average friction coefficient is 0.465, which is only 73 % of that of the substrate. The obtained functionally gradient coating has significantly improved the hardness and wear resistance of the H13 mold steel surface. The metallurgical bonds were formed between the different gradient layers and the substrate.

关键词： Microhardness

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Answer-Centric Local and Global Information Fusion for Conversational Question Generation 12

Answer-Centric Local and Global Information Fusion for Conve...

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12th IEEE International Conference on Big Knowledge, ICBK 2021

作者： Lei, Panpan Sun, Xiao Hefei University of Technology Anhui Province Key Laboratory of Affective Computing and Advanced Intelligent Machine School of Computer Science and Information Engineering Anhui Hefei China Institute of Artificial Intelligence Hefei Comprehensive National Science Center Anhui Hefei China

ISBN: (纸本)9781665438582

Conversational Question Generation (CQG) is a new concern in Question Generation (QG) study. Recently Seq2Seq neural network model has been widely used in the QG area. CQG model is also based on the Seq2Seq neural network model. We note a problem: the CQG model's input is not a single sentence, but a long text and conversation history. Seq2Seq model can't effectively process long input, the model will generate questions not related to the answer. To solve this problem, we propose an answer-centric local and global information fusion model. We extract the evidence sentence containing the answer in the passage and encode the evidence sentence and the passage information separately. On the one hand, we add answer-centered position tags in the passage to reinforce the attention of information related to the answer. On the other hand, we put the key sentence into the question type prediction model. By combining the answer position embedding to predict the question type, and then put the predicted question types in the key sentence to guide the generation of the question. Finally, we use a gate mechanism to merge key sentence information and passage information. The experimental results show that we have achieved better results. © 2021 IEEE.

关键词： Neural network models

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Generalized-Extended-State-Observer and Equivalent-Input-Disturbance Methods for Active Disturbance Rejection: Deep Observation and Comparison

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IEEE/CAA Journal of Automatica Sinica 2023年第4期10卷 957-968页

作者： Jinhua She Kou Miyamoto Qing-Long Han Min Wu Hiroshi Hashimoto Qing-Guo Wang School of Engineering Tokyo University of TechnologyHachiojiTokyo 192-0982Japan K.Miyamoto is with the Institute of Technology Shimizu CorporationKotoTokyo 135-0044Japan School of Science Computing and Engineering TechnologiesSwinburne University of TechnologyMelbourneVIC 3122Australia School of Automation China University of GeosciencesWuhan 430074 Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Engineering Research Center of Intelligent Technology for Geo-Exploration Ministry of EducationWuhan 430074China School of Industrial Technology Advanced Institute of Industrial TechnologyTokyo 140-0011Japan Institute of Artificial Intelligence and Future Networks Beijing Normal UniversityZhuhai 519087 Guangdong Key Lab of AI and Multi-Modal Data Processing Guangdong Provincial Key Laboratory of Interdisciplinary Research and Application for Data Science BNUHKBU United International College Zhuhai 519087China

Active disturbance-rejection methods are effective in estimating and rejecting disturbances in both transient and steady-state *** paper presents a deep observation on and a comparison between two of those methods:the generalized extended-state observer(GESO)and the equivalent input disturbance(EID)from assumptions,system configurations,stability conditions,system design,disturbance-rejection performance,and extensibility.A time-domain index is introduced to assess the disturbance-rejection performance.A detailed observation of disturbance-suppression mechanisms reveals the superiority of the EID approach over the GESO method.A comparison between these two methods shows that assumptions on disturbances are more practical and the adjustment of disturbance-rejection performance is easier for the EID approach than for the GESO method.

关键词： Active disturbance-rejection control(ADRC) disturbance observer(DOB) equivalent input disturbance(EID) extendedstate observer(ESO) generalized extended-state observer(GESO)

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EmoDamp: A Model for Speaker Emotion Inference in Dialogues with Bidirectional Emotion Damping Mechanism 6

EmoDamp: A Model for Speaker Emotion Inference in Dialogues ...

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6th International Conference on Algorithms, computing and Artificial Intelligence, ACAI 2023

作者： Jiang, Yueqi Sun, Xiao Wang, Jiamin AnHui Province Key Laboratory of Affective Computing and Advanced Intelligent Machine School of Computer Science and Information Engineering Hefei University of Technology Anhui Hefei China Institute of Artificial Intelligence Hefei Comprehensive National Science Center Anhui Hefei China

ISBN: (纸本)9798400709203

Emotion analysis in conversation has been a popular research topic in the natural language processing field. While much of the existing research has focused on emotion recognition in conversation, the emotion inference task in conversation is more challenging due to its specific prerequisites. In this paper, we propose EmoDamp, a novel model for the conversational emotion inference task. By referring to psychological theories, a bidirectional emotion damping network(BED Net) is designed to model the emotion generation mechanism. Furthermore, external commonsense knowledge is also used to supplement the prediction results to make them more consistent with authentic logic. Finally, a conditional random field (CRF) is used to capture the potential constraints of the emotion transfer process in conversation and simulate emotion contagion. Experimental results on two benchmark datasets demonstrate that EmoDamp outperforms the baseline model, achieving improved results on each emotion category and showcasing its effectiveness. © 2023 Copyright held by the owner/author(s). Publication rights licensed to ACM.

关键词： Human computer interaction

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