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SA Framework based De-anonymization of Social Networks

Procedia computer science 2018年 129卷 358-363页

作者： Honglu Jiang Jiguo Yu Chunqiang Hu Cheng Zhang Xiuzhen Cheng School of Information Science and Engineering Qufu Normal University Rizhao 276826 China Shandong Polytechnic Jinan 250104 China College of Software Engineering Chongqing University Chongqing 400044 China Department of Computer Science The George Washington University Washington DC 20052 USA

The data of social networks contains a large amount of personal information, of which may be public or insignificant, but some may be sensitive and private. Once the user privacy leaked, it may bring a variety of troubles for users. Holders of social networking data first conduct anonymization before the data is published. However, the simple anonymity method does not play a very good protection. At present, a number of de-anonymization attacks for the data releasing of social networks have arisen. These de-anonymization attacks are mostly based on the network structure with the use of feature matching and other methods. In this paper, we model the social network as a Structure-Attribute (SA) framework which integrates the structural characteristics of social networks and social node properties, adding some attribute nodes to the social network. The similarity measurement of social network nodes is proposed, with the consideration of the structure similarity and attribute similarity. The accuracy of node matching and de-anonymization is greatly improved. We conduct our de-anonymization based on the realistic dataset to verify the accuracy and efficiency.

关键词： social network privacy preservation k -anonymity de-anonymization differential privacy

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Model-based adjustment of droplet characteristic for 3D electronic printing 13

Model-based adjustment of droplet characteristic for 3D elec...

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13th Global Congress on Manufacturing and Management, GCMM 2016

作者： Lin, Na Jing, Shikai Chen, Hanning Liu, Wenxin Beijing Shenzhou Aerospace Software Technology Co. Ltd. Beijing China School of Mechanical Engineering Beijing Institute of Technology Beijing China School of Computer Science and Software Tianjin Polytechnic University Tianjin China Department of Electrical and Computer Engineering Lehigh University Bethlehem United States

The major challenge in 3D electronic printing is the print resolution and accuracy. In this paper, a typical mode - lumped element modeling method (LEM) - is adopted to simulate the droplet jetting characteristic. This modeling method can quickly get the droplet velocity and volume with a high accuracy. Experimental results show that LEM has a simpler structure with the sufficient simulation and prediction accuracy. © The Authors, published by EDP sciences.

关键词： Drops

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Intelligent adjustment of printhead driving waveform parameters for 3D electronic printing 13

Intelligent adjustment of printhead driving waveform paramet...

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13th Global Congress on Manufacturing and Management, GCMM 2016

In practical applications of 3D electronic printing, a major challenge is to adjust the printhead for a high print resolution and accuracy. However, an exhausting manual selective process inevitably wastes a lot of time. Therefore, in this paper, we proposed a new intelligent adjustment method, which adopts artificial bee colony algorithm to optimize the printhead driving waveform parameters for getting the desired printhead state. Experimental results show that this method can quickly and accuracy find out the suitable combination of driving waveform parameters to meet the needs of applications. © The Authors, published by EDP sciences.

关键词： Parameter estimation

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Intelligent Development Environment and software Knowledge Graph

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Journal of computer science & Technology 2017年第2期32卷 242-249页

作者： Ze-Qi Lin Bing Xie Yan-Zhen Zou Jun-Feng Zhao Xuan-Dong Li Jun Wei Hai-Long Sun Gang Yin Key Laboratory of High Confidence Software Technologies (Peking University) Ministry of Education Beijing 100871 China Beida ( Binhai) Information Research Tianjin 300450 China National Key Laboratory for Novel Software Technology Nanjing University Nanjing 210023 China Technology Center of Software Engineering Institute of Software Chinese Academy of Sciences Beijing 100190 China School of Computer Science and Engineering Beihang University Beijing 100191 China College of Computer National University of Defense Technology Changsha 410073 China

software intelligent development has become one of the most important research trends in software engineering. In this paper, we put forward two key concepts -- intelligent development environment （IntelliDE） and software knowledge graph -- for the first time. IntelliDE is an ecosystem in which software big data are aggregated, mined and analyzed to provide intelligent assistance in the life cycle of software development. We present its architecture and discuss its key research issues and challenges. software knowledge graph is a software knowledge representation and management framework, which plays an important role in IntelliDE. We study its concept and introduce some concrete details and examples to show how it could be constructed and leveraged.

关键词： intelligent development environment software big data software knowledge graph semantic search

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A Dual-Population-Based Local Search for Solving Multiobjective Traveling Salesman Problem 13th

A Dual-Population-Based Local Search for Solving Multiobject...

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13th International Conference on Bio-Inspired Computing: Theories and Applications, BIC-TA 2018

作者： Hu, Mi Cai, Xinye Fan, Zhun College of Computer Science and Technology Nanjing University of Aeronautics and Astronautics NanjingJiangsu210016 China Collaborative Innovation Center of Novel Software Technology and Industrialization Nanjing210023 China Information Technology Research Base of Civil Aviation Administration of China Civil Aviation University of China Tianjin300300 China Department of Electronic Engineering School of Engineering Shantou University ShantouGuangdong515063 China

ISBN: (纸本)9789811328251

The decomposition-based algorithms, such as MOEA/D, transform a multiobjective optimization problem into a number of single-objective optimization subproblems and solve them in a collaborative manner. It is a natural framework for using single-objective local search for solving combinatorial multiobjective optimization problems. However, the performance of the decomposition-based algorithms strongly depends on the shape of PFs. For this purpose, this paper proposed a dual-population-based local search in MOEA/D framework (DP-MOEA/D-LS) to address the multiobjective traveling salesman problem. Two populations using different sets of direction vectors and different decomposition approaches cooperate with each other for achieving appropriate balance between the convergence and diversity. The experimental results show that DP-MOEA/D-LS significantly outperforms the compared algorithms (MOEA/D-LS (WS, TCH, PBI and iPBI)) on all the test instances. © 2018, Springer Nature Singapore Pte Ltd.

关键词： Multiobjective optimization

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Effect of Pt concentration on the grain growth of TiO2sol-gel films 13

Effect of Pt concentration on the grain growth of TiO2sol-ge...

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13th Global Congress on Manufacturing and Management, GCMM 2016

作者： Jia, Y.J. An, Na Chen, H.N. Chen, Yi School of Mechanical Engineering Tianjin Polytechnic University Tianjin300387 China Siemens Mechanical Drive Systems Co. Ltd. Tianjin300400 China School of Computer Science and Software Engineering Tianjin Polytechnic University Tianjin300387 China Department of Mechanical Engineering Inha University 253 Yonghyun Dong Nam Gu Incheon402-751 Korea Republic of

Pt metallic has been supported on TiO2 surface using different methods, Here, Pt doped TiO2 (Pt-TiO2) sol gel thin film were successfully produced by reducing chloroplatinc acid (H2PtCl6). The structures of prepared composites were investigated using X-ray diffraction (XRD). The physical morphologies of the composites were examined using transmission electron microscope (TEM). The grain size of Pt-TiO2 thin film after annealing was also measured by atomic force microscope (AFM) images. © The Authors, published by EDP sciences.

关键词： Titanium dioxide

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Interactive Tooth Segmentation Method of Dental Model based on Geodesic

Interactive Tooth Segmentation Method of Dental Model based ...

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2017 2nd International Conference on Machinery,Electronics and Control Simulation(MECS 2017)

作者： Shuai Yang Guanghao Jin Ruikun Wang Yongzhen Ke School of Computer Science and Software Engineering Tianjin Polytechnic University

This paper proposed an interactive tooth segmentation method based on Geodesic which aims to solve the inaccurate problem of segmentation in dental model for irregular teeth case. The features of the teeth are automatically acquired according to the prior knowledge. Then based on those features, the boundary of each tooth is obtained by the improved regional growth method and corrected by combining the correction points from the user inputting based on the shortest geodesic path, so that, the teeth are precisely segmented according to the boundary. The experimental results show that our method can be used to segment different kinds of teeth correctly and the computational speed and the precision of segmentation are improved obviously. Furthermore, as the features and the initial boundaries can be acquired automatically, the complexity of the implementation is significantly reduced.

关键词： Tooth Segmentation Geodesic Boundary Correction Dental Orthopedic

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Automated Prototype Generation from Formal Requirements Model

arXiv

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arXiv 2018年

作者： Yang, Yilong Li, Xiaoshan Liu, Zhiming Ke, Wei Zu, Quan Chen, Xiaohong Faculty of Science and Technology University of Macau China School of Computer and Information Science Southwest University Chongqing China Macau Polytechnic Institute China School of Software Engineering Tongji University Shanghai China Department of Computer Science University of Illinois at Urbana-Champaign United States

Prototyping is an effective and efficient way of requirement validation to avoid introducing errors in the early stage of software development. However, manually developing a prototype of a software system requires additional efforts, which would increase the overall cost of software development. In this paper, we present an approach with a developed tool to automatic generation of prototypes from formal requirements models. A requirements model consists of a use case diagram, a conceptual class diagram, use case definitions specified by system sequence diagrams and the contracts of their system operations. A system operation contract is formally specified by a pair of pre- and post-conditions in OCL. We propose a method to decompose a contract into executable parts and non-executable parts. A set of transformation rules is given to decompose the executable part into pre-implemented primitive operations. A non-executable part is usually realized by significant algorithms such as sorting a list, finding the shortest path or domain-specific computation. It can be implemented manually or by using existing code. A CASE tool is developed that provides an interface for developers to develop a program for each non-executable part of a contract, and automatically transforms the executables into sequences of pre-implemented primitive operations. We have conducted four cases studies with over 50 use cases. The experimental result shows that the 93.65% of requirement specifications are executable, and only 6.35% are non-executable such as sorting and event-call, which can be implemented by developers manually or invoking the APIs of advanced algorithms in Java library. The one second generated the prototype of a case study requires approximate nine hours’ manual implementation by a skilled programmer. Overall, the result is satisfiable, and the proposed approach with the developed CASE tool can be applied to the software industry for requirements engineering. Copyright © 2018,

关键词： software design

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Cooperative differential evolution with dynamical population for short-term traffic flow prediction problem

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International Journal of Performability engineering 2018年第4期14卷 785-794页

作者： Wang, Danping Hu, Kunyuan He, Maowei Chen, Hanning Department of Information Service and Intelligent Control Shenyang Institute of Automation Chinese Academy of Sciences Shenyang110016 China University of Chinese Academy of Sciences Beijing100039 China Shenyang University Shenyang110044 China School of Computer Science and Software Tianjin Polytechnic University Tianjin300387 China

Differential Evolution (DE) is a heuristic stochastic search algorithm based on population differences, which has advantages of simple parameters and fast convergence rate. However, it has weak robustness, especially for multimodal problems. Therefore, this paper proposes a Cooperative Differential Evolution with Dynamical population (DynCDE). In the proposed algorithm, the K-means method is employed to partition the whole population. For the high convergence rate of DE/current-to-best/ 1/bin, the neighbor-based mutation strategy is applied and the dynamic population size method based on aging mechanism and lifecycle mechanism is designed to keep the balance between exploration and exploitation. This modified DE has the potential to improve prediction accuracy of neural networks. Finally, this DynCDE-based neural network model is applied to solving the short-term traffic flow prediction problem, which offers very excellent results. © 2018 Totem Publisher, Inc. All rights reserved.

关键词： Neural network models

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Feature extension for Chinese short text classification based on topical N-Grams

Feature extension for Chinese short text classification base...

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International Conference on computer and Information science (ACIS)

作者： Baoshan Sun Peng Zhao School of Computer Science and Software Engineering Tianjin Polytechnic University Tianjin China

ISBN: (纸本)9781509055081

Because of the feature sparseness problem, conventional text classification methods hardly achieve a good effect on short texts. This paper presents a novel feature extension method based on the TNG model to solve this problem. This algorithm can infers not only the unigram words distribution but also the phrases distribution on each topic. We can build a feature extension library using TNG algorithm. Base on the original features in short texts, we can compute the topic tendency for each of these texts. According to the topic tendency, the appropriate candidate words and phrases are selected from the feature extension library. And then these candidate words and phrases are put into original short texts. After extending features, we use the LDA and SVM algorithm to classify these expanded short texts and use precision, recall and F1-score to evaluate the effect of classification. The result shows that our method can significantly improve classification performance.

关键词： Libraries Text categorization Support vector machines Thesauri Buildings Maintenance engineering Internet

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