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A Method of multimodal Emotion Recognition in Video Learning Based on Knowledge Enhancement

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Computer Systems Science & Engineering 2023年第11期47卷 1709-1732页

作者： Hanmin Ye Yinghui Zhou Xiaomei Tao School of information Science and Engineering Guilin University of TechnologyGuilin541004China guangxi key laboratory of Embedded Technology and Intelligent System Guilin University of TechnologyGuilin541004China guangxi key lab of multi-source information mining and security Guangxi Normal UniversityGuilin541004China

With the popularity of online learning and due to the significant influence of emotion on the learning effect,more and more researches focus on emotion recognition in online *** of the current research uses the comments of the learning platform or the learner’s expression for emotion *** research data on other modalities are *** of the studies also ignore the impact of instructional videos on learners and the guidance of knowledge on *** of the need for other modal research data,we construct a synchronous multimodal data set for analyzing learners’emotional states in online learning *** data set recorded the eye movement data and photoplethysmography(PPG)signals of 68 subjects and the instructional video they *** the problem of ignoring the instructional videos on learners and ignoring the knowledge,a multimodal emotion recognition method in video learning based on knowledge enhancement is *** method uses the knowledge-based features extracted from instructional videos,such as brightness,hue,saturation,the videos’clickthrough rate,and emotion generation time,to guide the emotion recognition process of physiological *** method uses Convolutional Neural Networks(CNN)and Long Short-Term Memory(LSTM)networks to extract deeper emotional representation and spatiotemporal information from shallow *** model uses multi-head attention(MHA)mechanism to obtain critical information in the extracted deep ***,Temporal Convolutional Network(TCN)is used to learn the information in the deep features and knowledge-based ***-based features are used to supplement and enhance the deep features of physiological ***,the fully connected layer is used for emotion recognition,and the recognition accuracy reaches 97.51%.Compared with two recent researches,the accuracy improved by 8.57%and 2.11%,*** the four public data sets,our proposed method also achieves bett

关键词： Emotion recognition video learning physiological signal knowledge enhancement deep learning CNN LSTM TCN

Prospects on mangrove knowledge services in the smart era:From plant atlas to knowledge graphs

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Science China Earth Sciences 2025年第1期68卷 111-127页

作者： Zhi-Wei HOU Wenlong JING Cheng-Zhi QIN Ji YANG Qing XIA Xiaoling YIN key laboratory of Guangdong for Utilization of Remote Sensing and Geographical information System Guangdong Open Laboratory of Geospatial Information Technology and ApplicationGuangzhou Institute of GeographyGuangdong Academy of SciencesGuangzhou510070China Southern Marine Science and Engineering Guangdong laboratory(Guangzhou) Guangzhou511458China State key laboratory of Resources and Environmental information System Institute of Geographic Sciences and Natural Resources ResearchChinese Academy of SciencesBeijing100101China College of Resources and Environment University of Chinese Academy of SciencesBeijing100049China School of Traffic&Transportation Engineering Changsha University of Science and TechnologyChangsha410114China

Mangroves are crucial to the ecological security of the Earth and human *** management,conservation,and restoration are of great importance and necessitate the support of spatio-temporal information and multidisciplinary knowledge such as biology and *** knowledge services such as plant atlas provide illustrated textual knowledge of ***,this kind of service is oriented to information retrieval and is incapable of effectively mining and utilizing fragmented knowledge from multi-source heterogeneous data,facing the problem of“massive data,rare knowledge”.Knowledge graphs are capable of extracting,organizing,and fusing the knowledge contained in massive data into semantic networks that can be understood and computed by *** provide a solution for the realization of intelligent knowledge *** on the urgent need for mangrove knowledge acquisition,formal representation,and intelligent services,this paper proposes a research prospect on mangrove knowledge graphs and knowledge *** first analyze the similarities and differences between various domain-specific concepts of *** this basis,we define the mangrove knowledge graph as a large-scale knowledge base that integrates multi-disciplinary knowledge and spatio-temporal information with mangrove ecosystems as the ***,we propose a research framework for mangrove knowledge services that can realize the transformation from multi-modal data to intelligent knowledge services,including multiple research levels such as ubiquitous data sensing and aggregation,knowledge organization and graph construction,and intelligent mangrove knowledge ***,the methods and workflow for constructing mangrove knowledge graphs are ***,we discuss the challenges and possible future directions of mangrove knowledge services in the smart era,including the construction of a mangrove knowledge system that integrates the domain-specific charac

关键词： Mangrove Tupu Knowledge graph multi-modal Knowledge service

A secure image protection algorithm by steganography and encryption using the 2D-TSCC

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Chinese Physics B 2021年第11期30卷 274-285页

作者： Qi Li Xingyuan Wang He Wang Xiaolin Ye Shuang Zhou Suo Gao Yunqing Shi School of information Science and Technology Dalian Maritime UniversityDalian 116026China guangxi key laboratory of multi-source information mining&security Guangxi Normal UniversityGuilin 541004China Dalian Hongwen Middle School Dalian 116000China School of Mathematical Sciences Chongqing Normal UniversityChongqing 401331China Department of Electrical and Computer Engineering New Jersey Institute of TechnologyNewark NJ 07102USA

Based on the two-dimensional(2D)tan-sin-cos-coupling(2D-TSCC),a new image protection method is designed,this method includes steganography and ***,a 2D-TSCC system is *** 2D-TSCC has a large parameter space in a hyperchaotic *** chaotic trajectory fills the entire *** chaotic sequence generated by the 2D-TSCC has a good pseudorandomness,so it can be used in steganography and ***,the amount of information contained in each bit of the cover image is analyzed,and the three bits which carry the least amount of information are *** secret image is hidden in these three bits base on the ***,the carrier image is scrambled and diffused by the *** ciphertext is generated in this *** the ciphertext to the recipient through channel transmission,and the recipient obtains the secret image by decrypting twice.

关键词： 2D-TSCC steganography image encryption mod diffuse chaos

A multiple sensitive attributes data publishing method with guaranteed information utility

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CAAI Transactions on Intelligence Technology 2023年第2期8卷 288-296页

作者： Haibin Zhu Tong Yi Songtao Shang Minyong Shi Zhucheng Li Wenqian Shang Department of Computer Science and Mathematics Nipissing UniversityNorth BayOntarioCanada key lab of Education Blockchain and Intelligent Technology Ministry of EducationGuangxi Normal UniversityGuilinChina guangxi key lab of multi‐source information mining and security Guangxi Normal UniversityGuilinChina School of Computer and Communication Engineering Zhengzhou University of Light IndustryZhengzhouChina School of Computer Science Communication University of ChinaBeijingChina Business College Beijing Union UniversityBeijingChina

Data publishing methods can provide available information for analysis while preserving *** multiple sensitive attributes data publishing,which preserves the relationship between sensitive attributes,may keep many records from being grouped and bring in a high record suppression *** category of multiple sensitive attributes data publishing,which reduces the possibility of record suppression by breaking the relationship between sensitive attributes,cannot provide the sensitive attributes association for ***,the existing multiple sensitive attributes data publishing fails to fully account for the comprehensive information *** acquire a guaranteed information utility,this article defines comprehensive information loss that considers both the suppression of records and the relationship between sensitive attributes.A heuristic method is leveraged to discover the optimal anonymity scheme that has the lowest comprehensive information *** experimental results verify the practice of the proposed data publishing method with multiple sensitive *** proposed method can guarantee information utility when compared with previous ones.

关键词： data analysis data privacy security of data

A novel method for extracting skeleton of fruit treefrom 3D point clouds

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International Journal of Modeling, Simulation, and Scientific Computing 2020年第6期11卷 78-89页

作者： Shenglian Lu Guo Li Jian Wang College of Computer Science and information Technology guangxi Normal University Guilin 541004P.R.China guangxi key lab of multi-source information mining and security No.15 Yucai Road Guilin 541004P.R.China Center of information Technology Beijing Municipal Bureau of Agriculture and Rural Affairs No.6 Yumin Middle Rood Beijing 100029P.R.China

Tree skeleton could be useful to agronomy researchers because the skeleton describes the shape and topological structure of a *** phenomenon of organs’mutual occlusion in fruit tree canopy is usually very serious,this should result in a large amount of data missing in directed laser scanning 3D point clouds from a fruit ***,traditional approaches can be ineffective and problematic in extracting the tree skeleton correctly when the tree point clouds contain occlusions and missing *** overcome this limitation,we present a method for accurate and fast extracting the skeleton of fruit tree from laser scanner measured 3D point *** proposed method selects the start point and endpoint of a branch from the point clouds by user’s manual interaction,then a backward searching is used to find a path from the 3D point cloud with a radius parameter as a *** experimental results in several kinds of fruit trees demonstrate that our method can extract the skeleton of a leafy fruit tree with highly accuracy.

关键词： Skeleton extraction fruit tree 3D point cloud modeling plant structure

Lateral Migration and Nonuniform Rotation of Square Particle Suspended in Poiseuille Flow

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Journal of Flow Control, Measurement & Visualization 2020年第3期8卷 146-158页

作者： Yong Ye Huajie Zhou Sihao Zhou Zhangrong Qin Binghai Wen guangxi key lab of multi-source information mining & security Guangxi Normal University Guilin China Department of Computer Science and information Engineering Guangxi Normal University Guilin China

A square particle suspended in a Poiseuille flow is investigated by using the lattice Boltzmann method with the Galilean-invariant momentum exchange method. The lateral migration of Segré-Silberberg effect is observed for the square particle, accompanied by the nonuniform rotation and regular wave. To compare with the circular particle, its circumscribed and inscribed squares are used in the simulations. Because the circumscribed square takes up a greater difference between the upper and lower flow rates, it reaches the equilibrium position earlier than the inscribed one. The trajectories of the latter are much closer to those of circle;this indicates that the circle and its inscribed square have a similar hydrodynamic radius in a Poiseuille flow. The equilibrium positions of the square particles change with Reynolds number and show a shape of saddle, whereas those of the circular particles are virtually not affected by Reynolds number. The regular wave and nonuniform rotation are owing to the interactions of the square shape and the parabolic velocity distribution of Poiseuille flow, and high Reynolds number makes the square rotating faster and decrease its oscillating amplitude. A series of contours illustrate the dynamic flow fields when the square particle has successive postures in a half rotating period. This study is beneficial to understand the motion of anisotropic particles and the dendrite growth in dynamic environment.

关键词： Particle Suspension Square Particle Segré-Silberberg Effect Lattice Boltzmann Method

A Copyright-Preserving and Fair Image Trading SchemeBased on Blockchain

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Tsinghua Science and Technology 2023年第5期28卷 849-861页

作者： Feng Yu Jiahui Peng Xianxian Li Chunpei Li Bin Qu School of Computer Science&Engineering Guangxi Normal UniversityGuilin 541004Chinaand with the Key Lab of Education Blockchain and Intelligent TechnologyMinistry of EducationGuangxi Normal UniversityGuilin 541004Chinaand also with Guangxi Collaborative Innovation Center of Multi-Source Information Integration and Intelligent ProcessingGuangxi Normal UniversityGuilin 541004China guangxi Power Grid Materials Co Ltd Nanning 530022China

With the proliferation of the Internet,particularly the rise of social media,digital images have gradually become an important part of life,and trading platforms have emerged for buying and selling ***,traditional image trading service providers may disclose users’private information for ***,many image trading platforms disregard the fairness of a transaction and the issue of copyright protection after an image is *** neglect harms the interests of users and affects their enthusiasm for trading.A secure way to safely transact images is *** proposed a copyright-preserving and fair image trading scheme based on blockchain,which combines amplifying locality-sensitive hashing with searchable symmetric encryption to achieve safe image retrieval on blockchain and ensure the credibility of the image retrieval ***,we use digital fingerprint and watermark technologies to realize the copyright protection of images and use smart contracts to achieve fair transaction *** experimental results show that our scheme can protect image copyrights and realize a fair trading process while ensuring efficiency.

关键词： blockchain copyright-preserving trade fair trade tadors code

New Identity Based Proxy Re-Encryption Scheme from Lattices

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China Communications 2019年第10期16卷 174-190页

作者： Liqiang Wu Xiaoyuan Yang Minqing Zhang Longfei Liu key lab of Network and information security Engineering University of Chinese Armed Police ForceXi’an 710086China key lab of Computer Network and information security Xi Dian UniversityXi’an 710071China

Identity-Based Proxy Re-Encryption (IB-PRE) allows a semi-trusted proxy to convert the ciphertext encrypted under Alice’s identity into Bob’s ciphertext of the same message without leaking plaintext. Lattice-based cryptography enjoys potential resistance to quantum analysis and low computational complexity. A multi-hop and unidirectional IB-PRE from lattices is presented. We split the functions of decryption and ciphertext transformation separately, and design the double private keys mechanism, where two keys are generated for each user, one key is used to decrypt the ciphertext by Pre-Image Sampling technique, and the other is used to generate the re-encryption key by Bonsai Trees technique. The generation of the re-encryption key is non-interactive and collusion resistant. Moreover, its IND-sID-CPA security over the decisional Learning With Errors (LWE) assumption under the standard model is proved. Compared with some previous IBPRE schemes from Bilinear Pairings, the format of transformed ciphertext in our scheme remains unchanged, furthermore, it can also resist quantum analysis. Compared with some existing IB-PRE schemes from lattices with similar properties, the space of the message in our scheme is a vector of length l and the encryption process remains a lower encryption blowup factor. At last, a proof-of-concept implementation is provided.

关键词： IB-PRE lattices bonsai trees collusion resistance

On-line Modeling of Non-stationary Network Traffic with Schwarz information Criterion

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Journal of Shanghai Jiaotong university(Science) 2010年第2期15卷 213-217页

作者：夏正敏陆松年李建华铁玲 Department of Electronic Engineering key lab of information security Integrated Management Research Shanghai Jiaotong University School of information security Engineering key lab of information security Integrated Management Research Shanghai Jiaotong University

Modeling of network traffic is a fundamental building block of computer science. Measurements of network traffic demonstrate that self-similarity is one of the basic properties of the network traffic possess at large time-scale. This paper investigates the change of non-stationary self-similarity of network traffic over time,and proposes a method of combining the discrete wavelet transform (DWT) and Schwarz information criterion (SIC) to detect change points of self-similarity in network traffic. The traffic is segmented into pieces around changing points with homogenous characteristics for the Hurst parameter,named local Hurst parameter,and then each piece of network traffic is modeled using fractional Gaussian noise (FGN) model with the local Hurst parameter. The presented experimental performance on data set from the Internet Traffic Archive (ITA) demonstrates that the method is more accurate in describing the non-stationary self-similarity of network traffic.

关键词： network traffic model self-similarity Schwarz information criterion (SIC) discrete wavelet transform (DWT) fractional Gaussian noise (FGN)