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International Conference on E-Business and E-Government (ICEE)

作者： Wang, Huai-Bin Yang, Hong-Liang Xu, Zhi-Jian Yuan, Zheng Tianjin Key Lab. of Intelligent Computing and Novel Software Technology Tianjin University of Technology 300191 Tianjin China Key Laboratory of Computer Vision and System Ministry of Education 300191 Tianjin China Key Laboratory of Computer Vision and System Ministry of Education China

ISBN: (纸本)9780769539973

Improving detection definition is a pivotal problem for intrusion detection. Many intelligent algorithms were used to improve the detection rate and reduce the false rate. Traditional SOM cannot provide the precise clustering results to us, while traditional K-Means depends on the initial value serious and it is difficult to find the center of cluster easily. Therefore, in this paper we introduce a new algorithm, first, we use SOM gained roughly clusters and center of clusters, then, using K-Means refine the clustering in the SOM stage. At last of this paper we take KDD CUP-99 dataset to test the performance of the new algorithm. The new algorithm overcomes the defects of traditional algorithms effectively. Experimental results show that the new algorithm has a good stability of efficiency and clustering accuracy. © 2010 IEEE.

关键词： Self organizing maps

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Service Portfolio Optimization Algorithm Based on Value Model and Graph Theory in SOA

Service Portfolio Optimization Algorithm Based on Value Mode...

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2013 IEEE 4th International Conference on Software Engineering and Service Science

作者： Zhi-xin Yang Hong-yun Ning Jun-qing Sun Jia-bao Yang Tianjin Key Laboratory of Intelligence Computing and Novel Software Technology Tianjin University of Technology Key Laboratory of Computer Vision and System Ministry of EducationTianjin University of Technology

ISBN: (纸本)9781467349970

Business process reengineering frequently occurs in complex service systems because of its dynamic,random and varied running *** solve the problem,we proposed a novel SOA portfolio optimization algorithm based on value model and graph ***,in order to strengthen the QoS analytical capacity of SOA,the value model is introduced into the SOA system to describe customer's service requirements of both function and non-function ***,a directed graph of SOA services and a value dependence graph of services are provided,as well as a service portfolio optimization algorithm designed based on the ***,the simulated data case is used to analyze and verify the methods proposed in this *** result shows that introducing the value model and graph algorithm into the SOA-based service system can effectively improve the quality of service portfolio.

关键词： service-oriented architecture(SOA) value model graph theory service portfolio optimization

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A New Identity Authentication Scheme of Single Sign On for Multi-Database 7

A New Identity Authentication Scheme of Single Sign On for M...

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2016 IEEE 7th International Conference on Software Engineering and Service Science

作者： Lan Zhang Hong-yun Ning Yun-yun Du Yan-xia Cui Yang Yang Tianjin Key Laboratory of Intelligence Computing and Novel Software Technology Tianjin University of Technology Key Laboratory of Computer Vision and System Ministry of EducationTianjin University of Technology

ISBN: (纸本)9781467399050

At present,multi-database identity authentication is mostly based on centralized global user management *** this paper,we analyze the defects of the current identity authentication in multi-database and propose a new single sign on for multi-database identity authentication based on the idea of database union *** with the traditional methods of authentication,the scheme adopts decentralized authentication mode which without centralized management,so it can avoid single point failure and single point overload,and it can also prevent password theft attack,replay attack and other various *** the case analysis,we know that the new scheme can improve the safety of the multi-database system.

关键词： multi-database single sign on identity authentication authentication model

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A CNN-LSTM Network for Classification of Attention Deficit Hyperactivity Disorder from EEG Data 41

A CNN-LSTM Network for Classification of Attention Deficit H...

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第41届中国控制会议

作者： Yaru Zhang Xiangxin Tan Yue Gu Key Laboratory of Computer Vision and System (Ministry of Education) School of Computer Science and EngineeringTianjin University of Technology Engineering Research Center of Learning-Based Intelligent system Ministry of Education

ISBN: (数字)9789887581536

ISBN: (纸本)9781665482561

Attention deficit hyperactivity disorder(ADHD) is one of the most common neuropsychiatric disorders in children,with core symptoms of inattention,impulsivity,and *** a result,early detection and treatment are *** this point,ADHD can be diagnosed using an electroencephalogram(EEG).This study proposes a model for identifying the EEG of children with *** proposed model is made up of three parts:temporal convolutional blocks,spatial convolutional blocks,and Long Short Term Memory(LSTM),and because EEG contains more temporal information than other data,we build a model that can extract more temporal *** study included 24 subjects,including 12 children with ADHD and12 normal *** experimental results show that our proposed model outperforms Support Vector Machine(SVM) and EEGNet,with our model achieving correct classification rates of 92.29%,92.76%,and 90.91% on the three backs,respectively,and 94.25% on the full data,demonstrating the model's feasibility and applicability to the ADHD recognition problem.

关键词： Attention Deficit Hyperactivity Disorder Electroencephalogram Deep learning Classification

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A pyramid image matching algorithm for chang'E-2 CCD images of the moon 4

A pyramid image matching algorithm for chang'E-2 CCD images ...

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4th IEEE International Conference on computer and Communications, ICCC 2018

作者： Zhou, Zhezhe Zhao, Meng Han, Ying Chen, Shengyong Key Laboratory of Computer Vision and System of Ministry of Education School of Computer Science and Engineering Tianjin University of Technology Tianjin China

ISBN: (纸本)9781538683392

The Chang'e-2(CE-2) satellite is equipped with a three-line Charge-coupled Device (CCD) stereo camera with a resolution of 7 meters. Through the camera's linear array scanning images, the stereoscopic images transmitted by CE-2 are processed. The results obtained from the processing can theoretically build a digital elevation model (DEM) with a resolution better than 10 meters. In this paper, an image matching algorithm is proposed as a code link of the built DEM, which can obtain homonymy image points with high accuracy. In view of the acquired CCD image data, the essay introduces the Wavelet Pyramid stratified matching algorithm to process the modified data. In the whole matching process, the feature points of the image are extracted with the Forstner, Moravec, and Harris operators based on gray features, which are then processed by the hierarchical matching algorithm of the wavelet pyramid. The proposed algorithm reduces the error rate of image matching and shortens the matching time and searching time of the non-homonymous image points. CCD image data simulation experiments show that the algorithm can reduce the error rate to 10.38%. © 2018 IEEE.

关键词： Charge coupled devices

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A method of detecting phishing web pages based on feature vectors matching

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Journal of Information and Computational Science 2012年第15期9卷 4229-4235页

作者： Wang, Huaibin Zhu, Bailu Wang, Chundong Key Laboratory of Computer Vision and System Tianjin University of Technology Ministry of Education Tianjin 300384 China Tianjin Key Laboratory of Intelligence Computing and Novel Software Technology Tianjin University of Technology Ministry of Education Tianjin 300384 China

Phishing is a web-based attack which end users are lured to visit fraudulent websites and give away personal information unconsciously. Typically, the captured information is used to get an illegal economic profit. Although the method is simple, because of their tremendous impact, phishing attacks still caused widespread concern. The key problem for checking the phishing pages is timely and efficiently calculating. There is still remaining a large space for phishing detection methods. In this paper, we attempt to check phishing pages using vector features which determine the fundamental structure of a web page. Then, these features are used to measure the similarity by similarity algorithm. © 2012 by Binary Information Press.

关键词： Vectors

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A robust auto-focus measure based on inner energy

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Optoelectronics Letters 2017年第4期13卷 309-313页

作者： LI Yang TANG Ting-long HUANG Wei Key Laboratory of Computer Vision and System Ministry of Education School of Computer Science and Engineering Tianjin University of Technology Tianjin 300384 China China Three Gorges University Yichang 443002 China

This paper proposes a robust auto-focus(AF) measure based on inner energy. In general, the inner energy of noise pixels is close to zero because the magnitude of gradient and the direction of the noise pixels are random. Therefore, the inner energy can effectively eliminate the influence of noise on image quality assessment. But the gradients of near edge points are consistent with those of edge points, so the inner energy of edge pixels is relatively large, and the detail information of the image can be highlighted. Experimental results indicate that compared with traditional methods, the proposed method has higher accuracy, fewer local peaks, stronger robustness and better practicability. In particular, the evaluation results are close to the subjective evaluation of the human eyes. These results illustrate that the proposed method can be applied in automatic focusing.

关键词： Magnetic materials Optoelectronic devices

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A new watermarking approach based on BP network in wavelet domain

A new watermarking approach based on BP network in wavelet d...

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International Congress on Image and Signal Processing

作者： Liu, Fenglian Liu, Lili Key Laboratory of Computer Vision and System Tianjin University of Technology Tianjin Key Laboratory of Intelligence Computing and Novel Software Technolog Tianjin China

ISBN: (纸本)9781424465149

This paper proposes a novel digital watermarking technique based on BP neural networks in wavelet domain. Firstly, the original image is decomposed by DTCWT, and then the watermark bits are added to the selected coefficients blocks. Because of the learning and adaptive capabilities of neural networks, the trained neural networks can recover the watermark from the watermarked images. Experimental results show that the proposed scheme has good performance against several attacks. ©2010 IEEE.

关键词： Neural networks

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Efficient Distributed Skyline Queries for Mobile Applications

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计算机科学技术学报（英文版） 2010年第3期25卷 523-536页

作者： Ying-Yuan Xiao Yue-Guo Chen Tianjin Key Laboratory of Intelligence Computing and Novel Software Technology Tianjin University of Technology Tianjin 300191China Key Laboratory of Computer Vision and System Tianjin University of TechnologyTianjin 300191China School of Computing National University of Singapore117417Singapore Key Laboratory of Data Engineering and Knowledge Engineering Renmin University of ChinaBeijing 100872China

In this paper,we consider skyline queries in a mobile and distributed environment,where data objects are distributed in some sites(database servers)which are interconnected through a high-speed wired network,and queries are issued by mobile units(laptop,cell phone,etc.)which access the data objects of database servers by wireless *** inherent properties of mobile computing environment such as mobility,limited wireless bandwidth,frequent disconnection,make skyline queries more *** show how to efficiently perform distributed skyline queries in a mobile environment and propose a skyline query processing approach,called efficient distributed skyline based on mobile computing(EDS-MC).In EDS-MC,a distributed skyline query is decomposed into five processing phases and each phase is elaborately designed in order to reduce the network communication,network delay and query response *** conduct extensive experiments in a simulated mobile database system,and the experimental results demonstrate the superiority of EDS-MC over other skyline query processing techniques on mobile computing.

关键词： skyline distributed query processing mobile database system

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Stackelberg Game-Driven Computational Offloading in Edge Computing Scenarios 15

Stackelberg Game-Driven Computational Offloading in Edge Com...

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15th International Conference on Communication Software and Networks, ICCSN 2023

作者： Zhang, Lan Bu, Chao School of Computer Science and Engineering Tianjin University of Technology Key Laboratory of Computer Vision and System of Ministry of Education Tianjin China

ISBN: (纸本)9798350329360

With the number of users that use mobile devices for frequent transactions increasing rapidly, it is a great challenge to guarantee the credibility of transactions. Blockchain is regarded as a practical technology for such demand, however, the limited computing capacity of each user's device becomes a bottleneck. In this paper, the edge computing pattern is introduced to support complex computing for mobile devices of users by renting computing resource from computing service providers. By considering demands of both the user and the service provider, we propose a two-level game approach based on the Stackelberg Game for multiple users and multiple service providers on computing resources renting and pricing. The simulation results show that the proposed mechanism is feasible and effective. © 2023 IEEE.

关键词： Computation offloading

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