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Lecture Notes in computer science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 2014年 8783卷 490-501页

作者： Yuan, Pinghai Zeng, Qingkai Liu, Yao State Key Laboratory for Novel Software Technology Nanjing University Nanjing210023 China Department of Computer Science and Technology Nanjing University Nanjing210023 China

ISBN: (纸本)9783319132563

Binary obfuscation is widely employed by malware distributors against malware analysis and detection. Mimimorphism is a novel technique arising from this arms race and technically opens a new line of obfuscation. It aims to defeat feature-based detection by generating malicious codes sharing features of benign programs. In order to forecast whether mimimorphic malware will burst out in the future, we evaluate current mimimorphic engines by measuring their mimicry outputs, as well as propose an approach to detection. In practice, we build a machine language model by doing a statistical study on code patterns of normal binary and use this model as a foundation for applying machine learning to detect mimimorphic malware. Experimental results show current mimimorphic engines are not powerful enough and mimicry executables can be effectively detected by our approach. © Springer International Publishing Switzerland 2014.

关键词： Malware

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Fast RFID grouping protocols

Fast RFID grouping protocols

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IEEE Annual Joint Conference: INFOCOM, IEEE computer and Communications Societies

作者： Jia Liu Bin Xiao Shigang Chen Feng Zhu Lijun Chen State Key Laboratory for Novel Software Technology Nanjing University China Department of Computing Hong Kong Polytechnic University China Department of Computer & Information Science & Engineering University of Florida USA

In RFID systems, the grouping problem is to efficiently group all tags according to a given partition such that tags in the same group will have the same group ID. Unlike previous research on the unicast transmission from a reader to a tag, grouping provides a fundamental mechanism for efficient multicast transmissions and aggregate queries in large RFID-enabled applications. A message can be transmitted to a group of m tags simultaneously in multicast, which improves the efficiency by m times when comparing with unicast. We study fast grouping protocols in large RFID systems. To the best of our knowledge, it is the first attempt to tackle this practically important yet uninvestigated problem. We start with a straightforward solution called the Enhanced Polling Grouping (EPG) protocol. We then propose a time-efficient FIltering Grouping (FIG) protocol that uses Bloom filters to remove the costly ID transmissions. We point out the limitation of the Bloom-filter based solution due to its intrinsic false positive problem, which leads to our final ConCurrent Grouping (CCG) protocol. With a drastically different design, CCG is able to outperform FIG by exploiting collisions to inform multiple tags of their group ID simultaneously and by removing any wasteful slots in its frame-based execution. Simulation results demonstrate that our best protocol CCG can reduce the execution time by a factor of 11 when comparing with a baseline polling protocol.

关键词： Protocols Radiofrequency identification labeling computers Conferences Filtering Unicast

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Automated text data extraction based on unsupervised small sample learning 7

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7th International Conference on Intelligent Systems and Knowledge Engineering, ISKE 2012 with 1st International Conference on Cognitive Systems and Information Processing, CSIP 2012

作者： Liu, Yulong Shi, Shengsheng Yuan, Chunfeng Huang, Yihua National Key Laboratory for Novel Software Technology Department of Computer Science and Technology Nanjing University Nanjing210093 China

ISBN: (纸本)9783642378287

Most of Web information extraction systems work with the DOM tree–based structured extraction rules to extract data records from Web pages;however, some, data items of, or even whole, of these data records are often in a semi-structured or unstructured text form. Thus, we need to introduce text data extraction rules to further extract the fine-grained data elements from those coarsegrained text items or records. However, generating text data extraction rules is a challenging task in either manual or automated way. In this paper, we propose an unsupervised learning approach to automatically deducing text data extraction rules from a small sample of text records. First of all, to prepare for extraction rule template deduction, we propose an iterative center core multiple sequence alignment method to align text columns in sample text records. Then, we propose an information entropy model based on the statistical features of text columns to further identify each column as either a template column or a data column. From identified template and data columns, plus some additional processing, we can quickly deduce the template, that is, the text data extraction rule. Eventually, we can use the text data extraction rule to perform the automated text data extraction from test text records. This unsupervised learning approach does not need any manual labeling and enables automated generation of text data extraction rules and text data extraction process. It is the first study effort toward the unsupervised small sample learning approach for automated text data extraction rule generation. The experimental results show that our approach achieves high accuracy. © Springer-Verlag Berlin Heidelberg 2014.

关键词： Websites

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Cluster analysis based on opinion mining

Cluster analysis based on opinion mining

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IEEE International Conference on Ubi-Media Computing

作者： Xiaoye Wang Xiaorui Chai Ching-Hsien Hsu Yingyuan Xiao Yukun Li Ministry of Education Tianjin University of Technology Tianjin China Department of Computer Science and Information Engineering Chung Hua University Hsinchu Taiwan Tianjin Key Laboratory of Intelligence Computing and Novel Software Technology Tianjin University of Technology Tianjin China

ISBN: (纸本)9781467382717

Mining based on opinions can extract useful information from users' comments. After doing cluster and analysis on the information, users can get a detailed understanding of the commodity, then determine to buy the commodity or not. In this paper, firstly, we extract evaluation objects and evaluation words, then cluster the evaluation objects. Next based on SO-PMI algorithm, judge the polarity of evaluation words and determine their polarity intensity values, then use K-means clustering algorithm to cluster the evaluation words. Last, for every kind of target evaluation object, make a count on the proportion of each kind evaluation word, and show the result to users in an intuitive way. This paper uses noun phrase pattern to match comments to extract evaluation objects and put forward the thematic words extraction algorithm. On judging the evaluation words' polarity, this paper establishes an emotional seed dictionary for each target object. The method of establishing dictionary for every attribute can eliminate the influence that less-correlation evaluation words have on the polarity judgment.

关键词： Dictionaries Clustering algorithms computers Correlation Semantics Algorithm design and analysis Data mining

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DRMST: A novel dynamic replica management strategy based on TOPSIS in cloud storage

Journal of Software Engineering

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Journal of software Engineering 2014年第4期8卷 278-286页

作者： Zhiyong, Yang Chunlin, Li Yanpei, Liu Malek, Al-Gabri Department of Computer Science Wuhan University of Technology China State Key Laboratory for Novel Software Technology Nanjing University China Key Laboratory of Fiber Optic Sensing Technology and Information Processing Ministry of Education China

The present study proposes a dynamic replica management strategy based on Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) in the cloud storage system. The replica management strategy includes the replica placement algorithm and the replica number strategy. The replica placement algorithm sorts the nodes by TOPSIS according to the node performance and load, the replicas are placed in the nodes with high performance and low load. The replica number strategy designs the reHability model and the availability model to compute the number of replicas, the initial number of the replicas is decided according to the reliability model and the number of the replicas is adjusted dynamically according to the availability model. Experimental results show that the strategy in the study has better performance in response delay and load-balance than the Default Replica Management Strategy in Hadoop (DRMSH) distributed file system. © 2014 Academic Journals Inc.

关键词： Cloud storage

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Image palette: Brushstroke synthesis-based style transfer 22

Image palette: Brushstroke synthesis-based style transfer

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22nd Pacific Conference on computer Graphics and Applications, PG 2014

作者： Miao, Zheng Zhang, Yan Zheng, Zhibin Sun, Zhengxing State Key Lab for Novel Software Technology Nanjing University China Department of Computer Science and Technology Nanjing University China

ISBN: (纸本)9783905674736

Painting style transfer is one kind technology where given the sample images with some specific art style, we can render the target images in the same style as the samples after some computation. In this paper we present a new approach of painting style transfer in which such a style transfer work is done by analogy with simulating the process of creation. We take the sample as palette where users can select arbitrary outlines or textures as the current input mode brush strokes. We then analyze brush strokes' style feature information and use such information for the style transfer and synthesis along the stroke curves learned from the specified area in target images to get the same painting style as the samples. The results show that the users can get a style-transferred personalized target image just by the given sample images and least interactions. © The Eurographics Association 2014.

关键词： Image processing

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novel multiband linearization technique for closely-spaced dual-band signals of wide bandwidth

Novel multiband linearization technique for closely-spaced d...

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Microwave, MTT-S International Symposium

作者： Ying Liu Patrick Roblin Hai Yu Shihai Shao Youxi Tang National Key Lab of Science & Technology on Communications UESTC Chengdu China Department of Electrical & Computer Engineering OSU Columbus USA

In the concurrent dual-band digital predistortion (DPD), it is required that each band of interest be accurately measured, so that the in-band distortion can be modeled and suppressed. However when the two bands are closely spaced, the inter-band modulation by-products overlap with the cross-modulation and the in-band intermodulation, thus leading to linearization performance degradation. On the other hand, by directly applying the single band linearization for closely-spaced dual-band signals, the one-band DPD approach will saturate in performance due to the wide bandwidth as well as the high nonlinear order and memory depth required resulting in an ill-conditioning problem. To resolve the spectral overlaps taking place in closely-spaced dual wide-band system, (1) the in-band intermodulation, (2) the cross-modulation, and (3) the inter-band modulation by-products are jointly extracted in the new proposed dual-band PA characterization scheme to yield an improved frequency/time selective modeling. The signals of interest extracted in each band using the proposed model are then used for dual-band DPD coefficient extraction. Improved modeling and linearization performances by up to 5 dB are verified with experiments performed on two 40-MHz LTE-advanced signals 40 MHz apart.

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Transition from EBNF to Xtext

Transition from EBNF to Xtext

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Joint MODELS 2014 Poster Session and the ACM Student Research Competition, SRC 2014, Co-located with the 17th International Conference on Model Driven Engineering Languages and Systems, MODELS 2014

作者： Yue, Jianan State Key Laboratory for Novel Software Technology Nanjing University Department of Computer Science and Technology Nanjing210023 China

Xtext is a framework for developing programming languages and domain specific languages (DSLs). Xtext contains a language in- frastructure including parsers, compiler and interpreter. In recent years, it has been applied to develop various DSLs. To benefit from Xtext, in certain cases, it is needed to transform an Extend Backus Naur Form (EBNF) based language to the Xtext grammar. For example, the well- known UML profile MARTE has a BNF-based Value Specification Lan- guage (VSL). It is needed to transform MARTE VSL in EBNF to a MARTE VSL Xtext grammar for the purpose of enabling tool integra- tion. In this paper, as the first step towards a fully automated trans- formation from EBNF to Xtext, a number of transformation rules are defined. The ultimate objective of the project is to provide developers a fully featured and customizable Eclipse-based IDE for developing DSLs using EBNF grammar or enabling tool integration by providing trans- formation from EBNF to Xtext.

关键词： Problem oriented languages

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Fitness proportionate selection based binary particle swarm optimization 14

Fitness proportionate selection based binary particle swarm ...

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16th Genetic and Evolutionary Computation Conference Companion, GECCO 2014 Companion

作者： Liu, Xing Shang, Lin State Key Laboratory of Novel Software Technology Department of Computer Science and Technology Nanjing University Nanjing 210046 China

ISBN: (纸本)9781450328814

Particle Swarm Optimization(PSO) has shown its advantages not only in dealing with continous optimization problems, but also in dealing with discrete optimization problems. Binary Particle Swarm Optimization(BPSO), the discrete version of PSO, has been widely applied to many areas. Although there are some variations aiming to improve BPSO's performance, none of them has been proven to be a promissing alternative. In this paper, we propose a novel binary particle swarm optimization called Fitness Proportionate Selection Based Binary Particle Swarm Optimization(FPSBPSO). We test FPSBPSO's performance in function optimization problems and multidimension knapsack problems. Experimental results show that FPSBPSO can find better optima than BPSO and a variation of BPSO.

关键词： Particle swarm optimization (PSO)

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Cooperative Distributed Energy Generation and Energy Trading for Future Smart Grid 33

Cooperative Distributed Energy Generation and Energy Trading...

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第三十三届中国控制会议

作者： WU Yuan SUN Xiaojie TAN Xiaoqi MENG Limin YU Li SONG Wen-zhan TSANG Danny Hin-Kwok College of Information Engineering Zhejiang University of Technology State Key Lab.for Novel Software Technology Nanjing University Department of Electronic and Computer Engineering Hong Kong University of Science and Technology Department of Computer Science Georgia State University

ISBN: (纸本)9781479947249

In this paper, we investigate the cooperative distributed energy generation and energy trading for future smart *** our model, a group of energy users, who are equipped with the capabilities of distributed energy generation, are allowed to trade energy in a cooperative manner with the goal to minimize their total energy-provisioning cost while meeting the local demand of each individual energy user. Moreover, each user also expects to benefit from the cooperative energy generation and trading with the others. Motivated by these objectives, we first jointly determine the optimal energy scheduling decisions for all energy users such that their total energy-provisioning cost can be minimized. Then, based on the optimal energy scheduling decisions, we further determine the optimal transaction costs associated with the users' energy trading to ensure that each of them can positively benefit from the cooperation. Extensive numerical results are provided to show the advantages of the proposed cooperative energy generation and trading model as well as our proposed algorithms to achieve the optimal solutions.

关键词： Distributed Energy Generation,Energy Trading,Cooperative Optimization,Transaction Cost

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