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2012 IEEE International Conference on computer science and Automation engineering, CSAE 2012

作者： Li, Jigang Meng, Xianhai Li, Yufeng Yang, Qin State Key Laboratory of Software Development Environment School of Computer Science and Engineering Beihang University Beijing China

ISBN: (纸本)9781467300865

3d-geological modeling is a means of improving data interpretation through visualization, as well as a way to generate support for numerical simulations of complex phenomena. Reconstructing horizons from scattered point clouds is an omnipresent task in 3d-geological modeling. As the geometrical representation of faults network is not watertight in the process of modeling for the reason of efficiency, the reconstructed horizons cut by the fault network are often topological inconsistency. A robust and efficient method to reconstruct topologically and geometrically consistent horizons based on meshes cutting and Discrete Smooth Interpolation (DSI) is proposed to tackle this problem. By representing the faults network with both triangular and rectangular mesh, and under the guide of macro spatial topology, the initial continuous mesh of a horizon could be cut by the faults network efficiently and robustly. DSI is adopted to further adjust the non-manifold mesh of horizon to their proper position while keeping the topological contact relation unchanged. The result shows that the horizons reconstructed are consistent. It indicates that the method can solve the inconsistency of the horizons caused by the inconsistency of the faults network. © 2012 IEEE.

关键词： Interpolation

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3D structural geological modeling based on morphing field 1

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International Conference on Information engineering and Applications, IEA 2011

作者： Xianhai, Meng Jigang, Li Qin, Yang State Key Laboratory of Software Development Environment School of Computer Science and Engineering BeiHang University Beijing 100191 China

ISBN: (数字)9781447123866

ISBN: (纸本)9781447123859

Strata are continuous surface by sediment, which form fractured and discontinuous geological layers during strata moving. In 3D structural geological modeling, how to describe fractured geological layers well and truly is a complicated problem. Now most software such as RCRC's 3D Earth Modeling, Petrel's advanced 3D Reservoir Modeling, ROXAR's RMS, T-Surf's GOCAD, create strata by user interactive editing during 3D geological modeling. Only little commercial software such as DGI's Earth Vision Modeling System realizes the function of creating discontinuous strata by strata point set and faults directly. At present, we can't yet search correlative algorithm in open literature. © 2012 Springer-Verlag London Limited.

关键词： Geology

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Chinese personal name recognition using N-gram model and rules

Chinese personal name recognition using N-gram model and rul...

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2012 7th International Conference on Computing and Convergence Technology (ICCIT, ICEI and ICACT), ICCCT 2012

作者： Lin, Chen Hui, Zhang Zhen'an, Li State Key Laboratory of Software Development Environment Beihang University School of Computer Science and Engineering 100191 Beijing China

ISBN: (纸本)9788994364216

Chinese personal name recognition plays an important role in Chinese word segmentation and it's difficult to recognize whether a sequence of characters is a name or not for its complexity. This paper presents a new algorithm based on N-gram model and recognition rules to resolve this problem. In order to increase efficiency and accuracy, we also build several dictionaries such as a surname dictionary and a person-name dictionary. Experiments on different corpora show that the improved tokenizer using this algorithm performs stably and achieves more than 10 percent word segmentation accuracy increase than the original one. Averagely the improved tokenizer's recall rate and accuracy rate are both over 92%. © 2012 AICIT.

关键词： Computational linguistics

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USO- a new slope one algorithm based on modified user similarity

USO- a new slope one algorithm based on modified user simila...

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2012 International Conference on Information Management, Innovation Management and Industrial engineering, ICIII 2012

作者： Sun, Mingtao Zhang, Hui Song, Shiyu Wu, Kejia State Key Software Development Environment Lab. Beihang University Beijing China School of Computer Science and Engineering Beihang University Beijing China

ISBN: (纸本)9781467319324

Recommendation algorithm based on collaborative filtering strategy has achieved great success in the field of personalized recommendation, However, based on collaborative filtering recommendation algorithm complexity is too high, over-fitting problem, the recommended accuracy requirements lead to the algorithm difficult to achieve in practical applications. Slope One algorithm greatly simplifies the complex process of collaborative filtering algorithm, dramatically reducing the recommended system and maintenance difficulty, but at the same time recommended the accuracy will decline. Recommended in order to take into account the recommendation algorithm of low complexity and high accuracy, the authors propose the improved algorithm based on the correct user similarity Slope One - USO algorithm The inspection results show that the algorithm can effectively improve the accuracy of the recommendation of the slope-one algorithm. ©2012 IEEE.

关键词： Collaborative filtering

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When sparsity meets noise in collaborative filtering

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14th Asia Pacific Web Technology Conference, APWeb 2012

作者： Hu, Biyun Li, Zhoujun Chao, Wenhan State Key Laboratory of Software Development Environment Beihang University China School of Computer Science and Engineering Beihang University Beijing China

ISBN: (纸本)9783642292521

Traditionally, it is often assumed that data sparsity is a big problem of user-based collaborative filtering algorithm. However, the analysis is based only on data quantity without considering data quality, which is an important characteristic of data, sparse high quality data may be good for the algorithm, thus, the analysis is one-sided. In this paper, the effects of training ratings with different levels of sparsity on recommendation quality are first investigated on a real world dataset. Preliminary experimental results show that data sparsity can have positive effects on both recommendation accuracy and coverage. Next, the measurement of data noise is introduced. Then, taking data noise into consideration, the effects of data sparsity on the recommendation quality of the algorithm are re-evaluated. Experimental results show that if sparsity implies high data quality (low noise), then sparsity is good for both recommendation accuracy and coverage. This result has shown that the traditional analysis about the effect of data sparsity is one-sided, and has the implication that recommendation quality can be improved substantially by choosing high quality data. © 2012 Springer-Verlag Berlin Heidelberg.

关键词： Collaborative filtering

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When a GUI regression test failed, what should be blamed?

When a GUI regression test failed, what should be blamed?

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5th IEEE International Conference on software Testing, Verification and Validation, ICST 2012

作者： Chen, Jin Lin, Mengxiang Yu, Kai Shao, Bing School of Software Beihang University Beijing China School of Computer Science and Engineering Beihang University Beijing China School of Mechanical Engineering and Automation Beihang University Beijing China State Key Laboratory of Software Development Environment Beihang University Beijing China

ISBN: (纸本)9780769546704

Script-based automated regression testing is widely used in industry. In this work, we focus on failed tests in a real regression test project. The causes of 197 failed tests produced in automated testing are examined and categorized based on an analysis procedure presented. The result shows that incorrect scripts, oracle mismatches, test tool bugs and misconfigurations involved in testing contribute most to failures instead of product bugs. Detecting and fixing the false positives are laborious and time-consuming. Our empirical study demonstrates that the benefits of test automation are obliterated to some extent in practical settings. To improve the effectiveness of automated regression testing further, some issues should receive more attention. © 2012 IEEE.

关键词： Graphical user interfaces

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Independent domination on tree convex bipartite graphs

Independent domination on tree convex bipartite graphs

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6th International Frontiers of Algorithmics Workshop, FAW 2012 and 8th International Conference on Algorithmic Aspects of Information and Management, AAIM 2012

作者： Song, Yu Liu, Tian Xu, Ke Key Laboratory of High Confidence Software Technologies School of Electronic Engineering and Computer Science Peking University Beijing 100871 China National Lab. of Software Development Environment Beihang University Beijing 100191 China

ISBN: (纸本)9783642296994

An independent dominating set in a graph is a subset of vertices, such that every vertex outside this subset has a neighbor in this subset (dominating), and the induced subgraph of this subset contains no edge (independent). It was known that finding the minimum independent dominating set (Independent Domination) is -complete on bipartite graphs, but tractable on convex bipartite graphs. A bipartite graph is called tree convex, if there is a tree defined on one part of the vertices, such that for every vertex in another part, the neighborhood of this vertex is a connected subtree. A convex bipartite graph is just a tree convex one where the tree is a path. We find that the sum of larger-than-two degrees of the tree is a key quantity to classify the computational complexity of independent domination on tree convex bipartite graphs. That is, when the sum is bounded by a constant, the problem is tractable, but when the sum is unbounded, and even when the maximum degree of the tree is bounded, the problem is -complete. © 2012 Springer-Verlag.

关键词： Forestry

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Personalized video recommendation based on viewing history with the study on YouTube 12

Personalized video recommendation based on viewing history w...

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4th International Conference on Internet Multimedia Computing and Service, ICIMCS 2012

作者： Zhao, Xiaojian Luan, Huanbo Cai, Junjie Yuan, Jin Chen, Xiaoming Li, Zhoujun State Key Laboratory of Software Development Environment Beihang University China School of Computing National University of Singapore Singapore Department of Computer Science University of Texas at San Antonio United States School of Computer Science and Engineering Beihang University China

ISBN: (纸本)9781450316002

With internet delivery of video content surging to an un-precedented level, video recommendation has become an important approach for helping people access interesting videos. In this paper, we propose a novel approach to integrate viewing history for personalized video recommendation. For a given user, our approach calculates a recommendation score for each video candidate, that composes of two parts: the interest degree of this video by the user's friends, and the taste similarities between the user and his friends. We measure the interest degree of each video by considering its textual, visual and popularity information. Meanwhile, we construct tag set for each user based on his/her viewing history to estimate the taste similarities between different users. The final recommended videos are ranked according to the accumulated recommendation scores from different recommenders. We conduct experiments with 45 users and more than 11, 000 videos, and the results demonstrate the feasibility and effectiveness of our approach. Copyright © 2012 ACM.

关键词： viewing history multimodal similarity tag set personalized video recommendation

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Malware behavior classification approach based on Naive Bayes

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Journal of Convergence Information Technology 2012年第5期7卷 203-210页

作者： Zhu, Kenan Yin, Baolin State Key Laboratory of Software Development Environment School of Computer Science and Engineering BeiHang University China

Because of the interference of obfuscation and polymorphism on malware analysis and detection, the dynamic analysis of malware binaries during run-time is becoming a research hotspot in intrusion detection field. Malware classification is a key problem in the research of dynamic malware behavior analysis. On the basis of the malware behavior monitoring result reports, after discussing of malware behavior characteristics, operation similarity of behavior and the effect of random factors on behavior pattern, this paper proposed a framework for automatic malware behavior classification using Naive Bayes machine learning model. The framework improves the accuracy and efficiency of classification by introducing the Naive Bayes. Then we designed and implemented automatic malware behavior classifier prototype called MalwareClassifier. In case study, we evaluated the prototype using behavior sequence reports which were generated through true malware. The experiment results show that our approach is effective, and the performance of training and classification is improved through the introduction of Naive Bayes model.

关键词： Intrusion detection

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Towards practical debugging for regression faults

Towards practical debugging for regression faults

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5th IEEE International Conference on software Testing, Verification and Validation, ICST 2012

作者： Yu, Kai Lin, Mengxiang State Key Laboratory of Software Development Environment Beihang University Beijing 100191 China School of Computer Science and Engineering Beihang University Beijing 100191 China School of Mechanical Engineering and Automation Beihang University Beijing 100191 China

ISBN: (纸本)9780769546704

Regression faults are inevitably introduced in software development. Identifying and fixing regression faults can be tedious and time-consuming. The goal of my doctoral research is to provide an automated practical technique to effectively and efficiently locating failure-inducing changes. In this work, the research problem and related work is discussed first. Then, our approach, research questions, completed work and future work is presented. Finally, the expected contributions of my thesis are listed. © 2012 IEEE.

关键词： software design

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