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12th ACM Symposium on QoS and Security for Wireless and Mobile Networks, Q2SWinet 2016

作者： Zhao, Dexin Ma, Zhen Zhang, Degan Tianjin Key Lab of Intelligent Computing and Novel Software Tianjin University of Technology Tianjin300384 China

ISBN: (纸本)9781450345040

We propose a distributed and adaptive trust evaluation algorith (DATEA) to calculate the trust between nodes. First, calculate th communication trust by using the number of data packets betwee nodes, and predict the trust based on the trend of this value calculate the comprehensive trust by combining the history trus with the predict value;calculate the energy trust based on th residual energy of nodes;calculate the direct trust by using th communication trust and energy trust. Second, calculate th recommendation trust based on the recommendation reliabilit and the recommendation familiarity;put forward the adaptivel weighting method, and calculate the integrate direct trust b combining the direct trust with recommendation trust. Third according to the integrate direct trust, considering the factor o trust propagation distance, the indirect trust between nodes i calculated. Simulation experiments show that the propose algorithm can effectively avoid the attacks of malicious nodes besides, the calculated direct trust and indirect trust about norma nodes are more conformable to the actual situation. © 2016 ACM.

关键词： Mobile ad hoc networks

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Recommendation in heterogeneous information network via dual similarity regularization

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International Journal of Data Science and Analytics 2017年第1期3卷 35-48页

作者： Zheng, Jing Liu, Jian Shi, Chuan Zhuang, Fuzhen Li, Jingzhi Wu, Bin Beijing Key Lab of Intelligent Telecommunications Software and Multimedia Beijing University of Posts and Telecommunications Beijing China Key Laboratory of Intelligent Information Processing Institute of Computing Technology Chinese Academy of Sciences Beijing China Southern University of Science and Technology Shenzhen China

Recommender system has caught much attention from multiple disciplines, and many techniques are proposed to build it. Recently, social recommendation becomes a hot research direction. The social recommendation methods tend to leverage social relations among users obtained from social network to alleviate data sparsity and cold-start problems in recommender systems. It employs simple similarity information of users as social regularization on users. Unfortunately, the widely used social regularization suffers from several aspects: (1) The similarity information of users only stems from social relations of related users;(2) it only has constraint on users without considering the impact of items for recommendation;(3) it may not work well for dissimilar users. To overcome the shortcomings of social regularization, we design a novel dual similarity regularization to impose the constraint on users and items with high and low similarities simultaneously. With the dual similarity regularization, we further propose an optimization function to integrate the similarity information of users and items under different semantic meta-paths, and a gradient descend solution is derived to optimize the objective function. Experiments with different meta-paths validate the superiority of integrating much available information, and the experiments conducted on three real data sets validate the effectiveness of the proposed solution. © 2016, Springer International Publishing Switzerland.

关键词： Recommender systems

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A novel method of android malware detection based on ensemble learning algorithm 8

A novel method of android malware detection based on ensembl...

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2018 8th International Workshop on Computer Science and Engineering, WCSE 2018

作者： Zhao, Jingyi Mo, Xiuliang Zheng, Qiao Tianjin Intelligent Computing and Software New Technology Key Laboratory School of computer Science and Engineering Tianjin University of Technology China

ISBN: (纸本)9789811178610

Android is popular for mobile devices in recent years. As the risk of malware is sharply increasing in Android platform, Android malware detection has become an important research topic. However, the current work shows that the detection of malware still needs to be reformed. Many current results suggest a modification of permissions or a combination of permissions and intents, but Android's fragmentation issues and requiring rooting, hindering the widespread adoption of those methods. Many approaches have been proposed to detect this attack by modifying the Android OS. Existing anti-viruses depend on signature databases that need to be updated from time to time and are unable to detect zero-day malware. The Android Operating system allows inter-application communication through the use of component reuse by using intents. A malware detection model is developed based on ensemble learning algorithms and on the basis of the random forest in WEKA. The method we proposed can take a better efficiency and precision. © Proceedings of 2018 the 8th International Workshop on Computer Science and Engineering, WCSE 2018. All rights reserved.

关键词： Android (operating system)

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Research on context-aware computing with uncertainty for proactive service

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International Journal of Modelling, Identification and Control 2009年第3期8卷 248-255页

作者： Zhang, De-Gan Tianjin Key Lab of Intelligent Computing and Novel Software Technology Tianjin University of Technology Tianjin 300191 China Key Laboratory of Computer Vision and System Tianjin University of Technology Ministry of Education Tianjin 300191 China Key Lab of Industrial Controlling Technology Zhejiang University Hangzhou 310027 China

It is known to all that context-aware computing with uncertainty is an important part of pervasive computing for proactive service. Because multi-source evidence context-aware information with uncertainty is dynamic and changing randomly, in order to ensure the QoS of different application fields based on pervasive computing, we modified the fusion method of evidence information after considering context's reliability, time efficiency and relativity, which has improved the classic fusion rule of D-S evidence theory when used in the pervasive computing paradigm. After extending the process, we overcome the shortcoming of classic D-S evidence theory. All these suggested technologies have been successfully used in our project. The efficiency of our researches has been tested by application practice and validation of the demo. Copyright © 2009, Inderscience Publishers.

关键词： Ubiquitous computing

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Study on the application of virtual reality technology in the production of industrial products based on OpenGL

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5th International Conference on Mechanical and Electrical technology, ICMET 2013

作者： Wang, Fa Yu Wang, Jing Chao Lu, Baoan Ministry of Education Tianjin Key Lab of Intelligent Computing and Novel Software Technology Tianjin University of Technology Tianjin 300384 China

ISBN: (纸本)9783037858349

This paper mainly discusses the use of virtual reality technology to make the complex steel production environment into direct, simple virtual interface. The model of square steel and the model of cylindrical steel have been founded through object-oriented method and powerful 3D image edit function provided by OpenGL which is employed in this system. Simulation system framework and friendly man-machine interaction are founded using 3-tier application for interactive control. The establishment and maintenance of the steel template, the real-time processing of the temperature in the steel production. © (2013) Trans Tech Publications, Switzerland.

关键词： Human computer interaction

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new Method of MSCA for Edge computing 4

New Method of MSCA for Edge Computing

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4th IEEE International Conference on Smart Internet of Things, SmartIoT 2020

作者： Zhang, De-Gan Zhu, Hao-Li Zhang, Ting Wang, Jia-Xu Tianjin University of Technology Tianjin Key Lab of Intelligent Computing Novel Software Technology Tianjin300384 China Tianjin China

ISBN: (纸本)9781728165141

By innovative use of edge computing technology to construct a node data cache model and step-by-step calculation of node channel separation, a multi-strategy channel allocation algorithm (MSCA) for edge computing is proposed. The mechanism of this algorithm is to use edge computing technology to pre-store the data in the nodes in the multicast tree and calculate the channel separation between the nodes, and then select the transmission channel number of the node with the least interference to avoid mutual interference between node information transmissions. Through experimental tests and comparisons, the MSCA algorithm for edge computing presented in this paper can minimize channel interference and overall network energy consumption while satisfying throughput and end-To-end delay. © 2020 IEEE.

关键词： Edge computing

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The Expansibility Research of K-means Algorithm under the GPU 7

The Expansibility Research of K-means Algorithm under the GP...

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

作者： Sujie Zhong Sheng Lin Guangping Xu Kai Shi Computer and Communication Engineering School Tianjin University of Technology Tianjin Key Lab.of Intelligence Computing and New Software Technology

ISBN: (纸本)9781467399050

K-Means algorithm is one of the most popular clustering analysis *** the algorithm can be easily understood and implemented,and its execution is more efficient than common clustering algorithm,it has been used *** the same time,with the increasing size of the data sets processed,CPUbasedserial K-Means implementation has been unable to meetthe people's need of data *** computing is considered well with the large data sets ***-based concurrent computation can accelerate common tasks,and especially for accelerating the compute-intensive ***(Compute Unified Device Architecture) is one of the methods that achieving the GPU-based concurrent *** the paper,the author hope to achieve a K-Means algorithm implementation can handle larger data sets via CUDA and the algorithm can be used on a common computer with NVIDIA graphics cards.

关键词： CUDA GPU k-means

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POSTER: STAR (Space-Time Adaptive and Reductive) Algorithms for Real-World Space-Time Optimality

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ACM SIGPLAN Notices 2017年第8期52卷 455-456页

作者： Tang, Yuan You, Ronghui School of Computer Science School of Software Fudan University Shanghai Key Lab. of Intelligent Information Processing State Key Lab. of Computer Architecture Institute of Computing Technology Chinese Academy of Sciences China

It's important to hit a space-time balance for a real-world algorithm to achieve high performance on modern shared-memory multi-core or many-core systems. However, a large class of dynamic programs with more than $O(1)$ dependency achieve optimality either in space or time, but not both. In the literature, the problem is known as the fundamental space-time tradeoff. By exploiting properly on the runtime system, we show that our STAR (Space-Time Adaptive and Reductive) technique can help these dynamic programs to achieve sublinear parallel time bounds while still maintaining work-, space-, and cache-optimality in a processor- and cache-oblivious fashion. © 2017 ACM.

关键词： Real time systems

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NBGVF: Normally biased gradient vector flow external force for active contours

NBGVF: Normally biased gradient vector flow external force f...

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2009 International Conference on Information Engineering and Computer Science, ICIECS 2009

作者： Lu, Shaopei Wang, Yuanquan Tianjin Key Lab of Intelligent Computing and Novel Software Technology School of Computer Science Tianjin University of Technology Tianjin 300191 China

ISBN: (纸本)9781424449941

Gradient vector flow (GVF) has been one effective external force for active contours, but it is based on isotropic diffusion. The recently proposed NGVF external force just took into account the diffusion along normal direction of the level line, so it is sensitive to noise and could smear the weak boundaries. In this article, we present a novel one called normally biased gradient vector flow (NBGVF) which keeps the diffusion along the tangential direction of the level line and biases that along the normal direction. The biasing weight of the diffusion along the normal direction approaches zero at boundaries and is 1, even larger, in homogeneous regions. Consequently, the NBGVF can preserve weak edges and smooth out noise while maintaining other desirable properties of GVF and NGVF such as enlarged capture range, insensitivity to initialization and convergence to u-shape concavity. These properties are evaluated on synthetic and real images. ©2009 IEEE.

关键词： Image segmentation

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Redundant data composition of peers in p2p streaming systems using cauchy reed-solomon codes

Redundant data composition of peers in p2p streaming systems...

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6th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2009

作者： Xu, Guangping Wang, Fayu Zhang, Hua Li, Jingxing Key Lab of Intelligent Computing and New Software Technology Tianjin University of Technology Tianjin 300191 China Key Laboratory of Computer Vision and System Ministry of Education Tianjin University of Technology Tianjin 300191 China

ISBN: (纸本)9780769537351

Erasure codes are used in many distributed applications. This paper applies Cauchy Reed-Solomon codes to P2P streaming systems which is different from classical Reed-Solomon codes. Due to churn in these systems, streaming data composition is vital for system management. We mainly concern about how to apply the coding into these systems and present the interaction among the peers and effective buffer management. This distributed sources increase the selection on disseminated encoded data and therefore statistically enhances the overall performance. © 2009 IEEE.

关键词： Reed-Solomon codes

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