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2019 International Conference on Security, Pattern Analysis, and Cybernetics, SPAC 2019

作者： Chen, Zhiyu Gu, Yangwei Deng, Chunhua Zhu, Ziqi School of Computer Science and Technology Wuhan University of Science and Technology Wuhan China Hubei Key Lab of Intelligent Information Processing and Real-time Industrial System Wuhan China

ISBN: (纸本)9781728159287

Learning deep representations have been widely used in action recognition task. However, the features extracted by deep convolutional neural networks (CNNs) have many redundant information. This paper aims to discover the relevance between temporal features extracted by CNNs. Different fromTemporal Segment Networks (TSN) to randomly select video clips. Based on the matrix-based Rényi's α-entropy, we estimate the mutual information between temporal domain features. Through our experiments, we propose an adaptive temporal segmentation scheme to represent the entire videos. We also combine the features of RGB and optical flow frames extracted by 3D ConvNets to verify the complementary information between them. We show that the proposed approach achieves 94.4 and 72.8 percent accuracy, in the UCF- 101 and HMDB-51 datasets. © 2019 IEEE.

关键词： Deep neural networks

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A pervasive service discovery strategy based on peer to peer model

A pervasive service discovery strategy based on peer to peer...

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作者： Zhang, De-Gan Chen, Xu-Yan Li, Chao Li, Lin-Qing Tianjin Key Lab of Intelligent Computing and Novel Software Technology Tianjin University of Technology 300191 China Key Laboratory of Computer Vision and System Ministry of Education Tianjin University of Technology 300191 China

ISBN: (纸本)9780955529337

In order to improve the efficiency of service discovery in the pervasive environment, this paper presents a new strategy of service discovery based on p2p network model. Reference the ring topology of chord algorithm and tbe algorithm used by DDT, tbe traditional single finger-table witch be maintained by each node in the ring will be changed into double finger-table: the Neigbbor-Finger-Table and Long-distance Finger-Table. The structure of the Neighbor-Finger-Table is the same as the traditional single finger-table's. The Long-distance Finger-Table can construct small-world network. Some similar algorithm uses random method to select remote access node, the new strategy is different from that, tbrough tbe calculation of the local node, it can ensure the scope of service can cover tbe entire network. The simulation shows the algorithm can effectively reduce the path length of service discovery, improve the service success rate, and control the path length of magnitude.

关键词： Small-world networks

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A new method for image fusion based on fuzzy neural network

A new method for image fusion based on fuzzy neural network

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作者： Zhang, De-Gan Wang, Yuan-Yuan Liu, Wei-Wei Zhang, Xiao-Li Tianjin Key Lab of Intelligent Computing and Novel Software Technology Tianjin University of Technology 300191 China Key Laboratory of Computer Vision and System Ministry of Education Tianjin University of Technology 300191 China

ISBN: (纸本)9780955529337

In pervasive computing paradigm, the image data obtained by a variety of multimedia, information equipment. In order to make use of these information reasonably and efficiently, a new method for image fusion based on fuzzy neural network has presented in this paper. It can fuse massive data from the multi-sensor image. Here, fuzzy neural network is a paraDel information processing model, there are more adaptive and self-organization, and can accomplish the complexity of real-time computing and mass data retrieval, it demonstrate its unique superiority of image understanding, pattern recognition and the handling of incomplete information. The fuzzy neural network system developed by us can be used in multi- sensor image fusion. Based on our experiments, it has been proved that the fusion is fast, effective, and can meet the real-time requirements of pervasive computing.

关键词： Fuzzy neural networks

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Research of the issues based on trusted cloud security

Research of the issues based on trusted cloud security

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4th International Conference on Materials Science and information Technology, MSIT 2014

作者： Huang, Yi Ma, Xin Qiang Liu, You Yuan Li, Dan Ning Key Laboratory of Machine Vision and Intelligent Information System Chongqing University of Arts and Sciences Chongqing 402160 China Guizhou Academy of Science Guiyang 550001 China School of Computer Science and Technology Guizhou University Guiyang 550025 China

ISBN: (纸本)9783038351733

Cloud computing represents one of the most significant shifts in information technology many of us are likely to see in our lifetimes. It offers an innovative business model for organizations to adopt IT services without upfront investment. Cloud computing moves the application software and databases to large data centers, where the management of the data and services may not be fully trustworthy. Security is one of the major issues which hamper the growth of cloud. The security for cloud computing is emerging area for study and this paper provide technical components of cloud computing and security idea in terms of cloud computing based on analysis of cloud security treats. © (2014) Trans Tech Publications, Switzerland.

关键词： Access control

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3D printed-electrospun PCL/hydroxyapatite/MWCNTs scaffolds for the repair of subchondral bone

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Regenerative Biomaterials 2023年第1期10卷 294-305页

作者： Yanyan Cao Lei Sun Zixian Liu Zhizhong Shen Wendan Jia Peiyi Hou Shengbo Sang College of Information Science and Engineering Hebei North UniversityZhangjiakou 075000China Shanxi Key Laboratory of Micro Nano Sensors&Artificial Intelligence Perception College of Information and ComputerTaiyuan University of TechnologyTaiyuan 030024China Key Lab of Advanced Transducers and Intelligent Control System of the Ministry of Education Taiyuan University of TechnologyTaiyuan 030024China Shanxi Research Institute of 6D Artificial Intelligence Biomedical Science Taiyuan 030031China

Osteochondral defect caused by trauma or osteoarthritis exhibits a major challenge in clinical treatment with limited symptomatic effects at *** regeneration and remodeling of subchondral bone play a positive effect on cartilage regeneration and further promotes the repair of osteochondral *** use of the strengths of each preparation method,the combination of 3D printing and electrospinning is a promising method for designing and constructing multi-scale scaffolds that mimic the complexity and hierarchical structure of subchondral bone at the microscale and nanoscale,*** this study,the 3D printed-electrospun poly(ɛ-caprolactone)/nano-hydroxyapatites/multi-walled carbon nanotubes(PCL/nHA/MWCNTs)scaffolds were successfully constructed by the combination of electrospinning and layer-by-layer 3D *** resulting dual-scale scaffold consisted of a dense layer of disordered nanospun fibers and a porous microscale 3D scaffold layer to support and promote the ingrowth of subchondral ***,the biomimetic PCL/nHA/MWCNTs scaffolds enhanced cell seeding efficiency and allowed for higher cell-cell interactions that supported the adhesion,proliferation,activity,morphology and subsequently improved the osteogenic differentiation of bone marrow mesenchymal stem cells in ***,this study elucidates that the construction of 3D printed-electrospun PCL/nHA/MWCNTs scaffolds provides an alternative strategy for the regeneration of subchondral bone and lays a foundation for subsequent in vivo studies.

关键词： additive manufacturing 3D printing electrospinning subchondral bone

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Identifying driver genes in cancer based on Pareto optimality consensus

Identifying driver genes in cancer based on Pareto optimalit...

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2022 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2022

作者： Deng, Zheng Wu, Jingli Chen, Xiaorong Li, Gaoshi Guangxi Normal University College of Computer Science Information Technology Guilin China Guangxi Normal University Guangxi Key Lab of Multi-source Information Mining & Security Guilin China Wuzhou University Guangxi Key Laboratory of Machine Vision Intelligent Control Wuzhou China

ISBN: (纸本)9781665468190

An important issue in cancer genomics is the identification of driver genes. It is significant for the discovery of key biomarkers and the development of effective personalized therapies. In this paper, a computated method PGScore is proposed. It scores genes at multilayer and integrates the scores to identify cancer driver genes based on Pareto Optimality Consensus(POC) strategy. PGScore uses random walks to reevaluate gene mutations, and integrates differential expression of mRNA and miRNA in normal and cancer samples. It measures the centrality of the gene in the network according to the weight of its direct and indirect neighbors, and finally integrates the above layers to get the final priority of the genes. We compare PGScore with state-of-the-art cancer driver genes prioritization methods on two real cancer datasets. The results show that PGScore can obtain better performance in identification accuracy and the partial area under the ROC(pAUC) curve on multiple reference databases. © 2022 IEEE.

关键词： Gene expression

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Variable-order fractional derivative rutting depth prediction of asphalt pavement based on the RIOHTrack full-scale track

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Science China(information Sciences) 2023年第5期66卷 196-214页

作者： Yu WANG Jiaojiao YAN Wei HUANG Leszek RUTKOWSKI Jinde CAO School of Mathematics Southeast University Jiangsu Provincial Key Laboratory of Networked Collective Intelligence Southeast University Intelligent Transportation System Research Center Southeast University Systems Research Institute of the Polish Academy of Sciences Institute of Computer Science AGH University of Science and Technology Information Technology Institute University of Social Sciences Yonsei Frontier Lab Yonsei University

Rutting deformation is typical damage to asphalt pavement and can be quantitatively described as the time-varying mechanical deformation feature of the asphalt mixture during the creep process. First,a nonlinear viscoelastic creep model is established based on the Caputo variable-order fractional *** fractional order in this model is not fixed and is defined as a time-varying function. The time-dependent mechanical properties of asphalt mixtures are efectively reflected. Based on the modified Burgers model, the variable-order function is revised to a linear form. Second, the variable-order fractional Burgers rutting model is obtained by fitting the test data of the RIOHTrack full-scale track. The Levenberg-Marquardt optimization algorithm is used to analyze the test data and the corresponding parameters to obtain more accurate and applicable variable-order fractional rutting mechanics and empirical models for diferent asphalt pavement structures. Finally, according to the classification of the pavement structure, structures III and VI are taken as examples. The rutting prediction and comparison results of several representative pavement structures are obtained to verify that the proposed rutting prediction model can also accurately predict all road sections of RIOHTrack. The new model is also compared with the rutting model of the mechanistic-empirical pavement design guide, the fractional-order Burgers rutting model, and the modified Burgers rutting model. The fitting results are evaluated using the determination coefficient R2. The results show that the variable-order fractional Burgers rutting model proposed in this study exhibits a better fit and is more applicable to describe the rutting deformation of asphalt pavement.

关键词： RIOHTrack full-scale track Caputo fractional derivative variable-order fractional modified Burgers model rutting prediction

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Knowledge Graph for Identifying Geological Disasters by Integrating computer vision with Ontology

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Journal of Earth Science 2023年第5期34卷 1418-1432页

作者： Qinjun Qiu Zhong Xie Die Zhang Kai Ma Liufeng Tao Yongjian Tan Zhipeng Zhang Baode Jiang School of Computer Science China University of GeosciencesWuhan 430078China Key Laboratory of Geological Survey and Evaluation of Ministry of Education China University of GeosciencesWuhan 430074China National Engineering Research Center of Geographic Information System Wuhan 430074China School of Resource and Environmental Sciences Wuhan UniversityWuhan 430074China College of Computer and Information Technology China Three Gorges UniversityYichang 443002China Hubei Key Laboratory of Intelligent Vision Based Monitoring for Hydroelectric Engineering China Three Gorges UniversityYichang 443002China

The occurrence of geological disasters can have a large impact on urban safety. Protecting people’s safety is the most important concern when disasters occur. Safety improvement requires a large amount of comprehensive and representative risk analysis and a large collection of information related to geological hazards, including unstructured knowledge and experience. To address the relevant information and support safety risk analysis, a geological hazard knowledge graph is developed automatically based on computer vision and domain-geoscience ontology to identify geological hazards from input images while obeying safety rules and regulations, even when affected by changes. In the implementation of the knowledge graph, we design an ontology schema of geological disasters based on a top-down approach, and by organizing knowledge as a logical semantic expression, it can be shared using ontology technologies and therefore enable semantic interoperability. computer vision approaches are then used to automatically detect a set of entities and attributes, using the data from input images, and object types and their attributes are identified so that they can be stored in Neo4j for reasoning and searching. Finally, a reasoning model for geological hazard identification was developed using the Neo4j database to create nodes, relationships, and their properties for modeling, and geological hazards in the images can be automatically identified by searching the Neo4j database. An application on geological hazard is presented. The results show the effectiveness of the proposed approach in terms of identifying possible potential hazards in geological hazards and assisting in formulating targeted preventive measures.

关键词： geological hazard computer vision knowledge graph city safety ontology

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Protein interaction hot spots prediction using LS-SVM within the Bayesian interpretation

Protein interaction hot spots prediction using LS-SVM within...

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9th International Conference on Advanced Data Mining and Applications, ADMA 2013

作者： Qi, Juhong Zhang, Xiaolong Li, Bo School of Computer Science and Technology Wuhan University of Science and Technology Wuhan 430065 China Hubei Key Lab. of Intelligent Information Processing and Real-time Industrial System Wuhan 430065 China

ISBN: (纸本)9783642539169

Hot spot prediction in protein interfaces is very important for understanding the essence of protein interactions and may provide promising prospect for drug design. Since experimental approaches such as alanine scanning mutagenesis are cost-expensive and time-consuming, reliable computational methods are needed. In this paper, a systematic method based on least squares support vector machine (LS-SVM) within the Bayesian evidence framework is proposed, where three levels Bayesian inferences are used to determine the model parameters and regularization hyper-parameters. Then a higher precision model for hot spots is constructed by optimizing these parameters. Compared with the previous methods, our model appears to be better performance. © 2013 Springer-Verlag.

关键词： Forecasting

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Research on spatial adaptive strategy of end-hopping system 4th

Research on spatial adaptive strategy of end-hopping system

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4th International Conference on Emerging intelligent Data and Web Technologies, EIDWT 2013

作者： Zhao, Chunlei Jia, Chunfu Tianjin Key Lab of Intelligence Computing and Novel Software Technology Tianjin University of Technology Tianjin China Key Lab of Computer Vision and System Tianjin University of Technology Ministry of Education Tianjin China College of Information Technical Science Nankai University Tianjin China

ISBN: (纸本)9780769550442

In this paper, spatial adaptive strategy for End-hopping system is proposed, based on the study of attack-defense model. It is a combination of adaptive technology and End-hopping technology. Modules such as attack detection, feedback transmission and adaptive control are added to the original hopping system. Then, guidance is put forward for next hop with the help of the real-time evaluation on each hopping node. Furthermore, investigations are provided on how to adjust related parameters automatically, according to the situations of network communication and the degree to which the nodes are attacked. New system can maintain good service efficiency as well as high security. And this technique is applied to the End-hopping prototype system. By different experiments attacking the prototype system, the feasibility and effectiveness of End-hopping technique are proven. © 2013 IEEE.

关键词： Network security

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