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IEEE International Conference on Cyber Security and Cloud Computing (CSCloud)

作者： Baolei Cheng Jianxi Fan Dajin Wang Jiwen Yang Provincial Key Laboratory for Computer Information Processing Technology Soochow University China School of Computer Science and Technology Soochow University Suzhou China Department of Computer Science Montclair State University Upper Montclair NJ USA

ISBN: (纸本)9781467393010

Reliable broadcasting for a network can be obtained by using completely independent spanning trees(CISTs). Locally twisted cubes are popular networks which have been studied widely in the literature. In this paper, we study the problem of using CISTs to establish reliable broadcasting in locally twisted cubes. We first propose an algorithm, named LTQCIST, to construct two CISTs in locally twisted cubes, then exemplify the construction procedures to construct CISTs. Finally, we prove the correctness of Algorithm LTQCIST and simulate CISTs with JUNG.

关键词： Broadcasting Hypercubes Reliability computer science Conferences computer security

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Chinese Spelling Error Detection and Correction Based on Language Model, Pronunciation, and Shape 3

Chinese Spelling Error Detection and Correction Based on Lan...

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3rd CIPS-SIGHAN Joint Conference on Chinese Language processing, CLP 2014

作者： Yu, Junjie Li, Zhenghua Provincial Key Laboratory for Computer Information Processing Technology Soochow University China

Spelling check is an important preprocessing task when dealing with user generated texts such as tweets and product comments. Compared with some western languages such as English, Chinese spelling check is more complex because there is no word delimiter in Chinese written texts and misspelled characters can only be determined in word level. Our system works as follows. First, we use character-level n-gram language models to detect potential misspelled characters with low probabilities below some predefined threshold. Second, for each potential incorrect character, we generate a candidate set based on pronunciation and shape similarities. Third, we filter some candidate corrections if the candidate cannot form a legal word with its neighbors according to a word dictionary. Finally, we find the best candidate with highest language model probability. If the probability is higher than a predefined threshold, then we replace the original character;or we consider the original character as correct and take no action. Our preliminary experiments shows that our simple method can achieve relatively high precision but low recall. © 2014 CLP 2014 - 3rd CIPS-SIGHAN Joint Conference on Chinese Language processing. All rights reserved.

关键词： Probability

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Soft cross-Lingual syntax projection for dependency parsing 25

Soft cross-Lingual syntax projection for dependency parsing

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25th International Conference on Computational Linguistics, COLING 2014

作者： Li, Zhenghua Zhang, Min Chen, Wenliang Provincial Key Laboratory for Computer Information Processing Technology Soochow University China

ISBN: (纸本)9781941643266

This paper proposes a simple yet effective framework of soft cross-lingual syntax projection to transfer syntactic structures from source language to target language using monolingual treebanks and large-scale bilingual parallel text. Here, soft means that we only project reliable dependencies to compose high-quality target structures. The projected instances are then used as additional training data to improve the performance of supervised parsers. The major issues for this idea are 1) errors from the source-language parser and unsupervised word aligner;2) intrinsic syntactic non-isomorphism between languages;3) incomplete parse trees after projection. To handle the first two issues, we propose to use a probabilistic dependency parser trained on the target-language treebank, and prune out unlikely projected dependencies that have low marginal probabilities. To make use of the incomplete projected syntactic structures, we adopt a new learning technique based on ambiguous labelings. For a word that has no head words after projection, we enrich the projected structure with all other words as its candidate heads as long as the newly-added dependency does not cross any projected dependencies. In this way, the syntactic structure of a sentence becomes a parse forest (ambiguous labels) instead of a single parse tree. During training, the objective is to maximize the mixed likelihood of manually labeled instances and projected instances with ambiguous labelings. Experimental results on benchmark data show that our method significantly outperforms a strong baseline supervised parser and previous syntax projection methods.

关键词： Syntactics

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A feature selection algorithm based on Hoeffding inequality and mutual information

International Journal of Signal Processing, Image Processing...

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International Journal of Signal processing, Image processing and Pattern Recognition 2015年第11期8卷 433-444页

作者： Yin, Chunyong Feng, Lu Ma, Luyu Yin, Zhichao Wang, Jin School of Computer and Software Jiangsu Key Laboratory of Meteorological Observation and Information Processing Jiangsu Engineering Center of Network Monitoring Nanjing University of Information Science and Technology Nanjing China Nanjing No.1 Middle School Nanjing China

With the rapid development of the Internet, the application of data mining in the Internet is becoming more and more extensive. However, the data source’s complex feature redundancy leads that data mining process becomes very inefficient and complex. So feature selection research is essential to make data mining more efficient and simple. In this paper, we propose a new way to measure the correlation degree of internal features of dataset which is a mutation of mutual information. Additionally we also introduce Hoeffding inequality as constraint of constructing algorithm. During the experiments, we use C4.5 classification algorithm as test algorithm and compare HSF with BIF(feature selection algorithm based on mutual information). Experiments results show that HSF performances better than BIF[1] in TP and FP rate, what’s more the feature subset obtained by HSF can significantly improve the TP, FP and memory usage of C4.5 classification algorithm. © 2015 SERSC.

关键词： Feature Selection

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A topic-based reordering model for statistical machine translation 3

A topic-based reordering model for statistical machine trans...

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3rd CCF Conference on Natural Language processing and Chinese Computing, NLPCC 2014

作者： Wang, Xing Xiong, Deyi Zhang, Min Hong, Yu Yao, Jianmin Provincial Key Laboratory for Computer Information Processing Technology Soochow University Suzhou China

ISBN: (纸本)9783662459232

Reordering models are one of essential components of statistical machine translation. In this paper, we propose a topic-based reordering model to predict orders for neighboring blocks by capturing topic-sensitive reordering patterns. We automatically learn reordering examples from bilingual training data, which are associated with document-level and word-level topic information induced by LDA topic model. These learned reordering examples are used as evidences to train a topic-based reordering model that is built on a maximum entropy (MaxEnt) classifier. We conduct large-scale experiments to validate the effectiveness of the proposed topic-based reordering model on the NIST Chinese-to-English translation task. Experimental results show that our topic-based reordering model achieves significant performance improvement over the conventional reordering model using only lexical information. © Springer-Verlag Berlin Heidelberg 2014.

关键词： computer aided language translation

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Fractional-Order PID Controller of USV Course-Keeping Using Hybrid GA-PSO Algorithm

Fractional-Order PID Controller of USV Course-Keeping Using ...

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International Symposium on Computational Intelligence and Design, ISCID

作者： Guangyu Li Chen Guo Yanxin Li Wu Deng Information Science and Technology College of Dalian Maritime University Dalian China Software institute of Dalian Jiaotong University Dalian China Dalian Maritime University Dalian Liaoning CN The Provincial Key Laboratory for Computer Information Processing Technology Dalian China

ISBN: (纸本)9781467395885

To the problem that traditional PID control method for course-keeping is sensitive to the change of underactuated surface vessels (USV) parameters, an improved fractionalorder PI λ D μ controller based on hybrid GA-PSO Algorithm was designed. The two additional adjustable parameters such as integral-order λ and differential -order μ make the controller more flexible, robust and have stronger disturbance rejection ability. The parameters of fractional-order PI λ D μ controller are determined by using hybrid GA-PSO algorithm, which reduce the probability of searching to the local optimal solution and ensure the accuracy of the global optimal solution. The simulation results show that the fractional-order PI λ D μ controller based on hybrid GA-PSO has better dynamic tracking performance and smaller overshoot and stronger immunity than the traditional PSO-PID controller.

关键词： Marine vehicles Algorithm design and analysis Heuristic algorithms Robustness Genetic algorithms Backstepping Optimization

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Ranking based activity trajectory search

Ranking based activity trajectory search

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15th International Conference on Web information Systems Engineering, WISE 2014

作者： Chen, Wei Zhao, Lei Jiajie, Xu Zheng, Kai Zhou, Xiaofang School of Computer Science and Technology Soochow University China Jiangsu Provincial Key Laboratory for Computer Information Processing Technology Soochow University China School of ITEE The University of Queensland Brisbane Australia

ISBN: (纸本)9783319117485

With the proliferation of the GPS-enabled devices and mobile techniques, there has been a lot of work on trajectory search in the last decade. Previous trajectory search has focused on spatio-temporal features and text descriptions. Different from them, we study a novel problem of searching trajectories with activities and corresponding ranking information. Given a query q, which is attached with a set of activities and a threshold of distance, the results of ranking based activity trajectory search (RTS) are k trajectories such that the given activities are performed with the highest ranking within the threshold of distance. In addition, we also extend the query with an order, i.e., order-sensitive ranking based activity trajectory search (ORTS), which takes both the order of activities in a query q and the order of trajectories into account. It is challenging to answer RTS and ORTS efficiently due to the structural complexity of trajectory data with ranking information. In this paper, a hybrid index AC-tree and its optimized variant RAC-tree are proposed to achieve higher efficiency. Extensive experiments verify the high efficiency and scalability of the proposed algorithms. © Springer International Publishing Switzerland 2014.

关键词： Trajectories

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Discriminative feature combination selection for enhancing multiclass classification

Discriminative feature combination selection for enhancing m...

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International Conference on Behavior, Economic and Social Computing (BESC)

作者： Aibo Song Wei Qian Zhiang Wu Jinghua Zhao School of Computer Science and Engineering Southeast University Nanjing China Jiangsu Provincial Key Laboratory of E-Business Nanjing University of Finance and Economics Nanjing China College of Information Science and Engineering Shandong University of Science and Technology Shandong China

Frequent pattern mining is commonly utilized to generate combined-feature candidates, yet many are non-discriminative and thus might be useless for predictive models. In this paper, we propose to use feature combinations derived from frequent patterns to obtain more accurate multiclass classification models. Specifically, we present a novel mathematics inference to show what are discriminative feature combinations. Hence, an efficient algorithm is proposed for mining and selecting discriminative patterns. Experimental results on twenty UCI datasets demonstrate that the proposed method can help to improve the classification performance remarkably, compared with other baseline methods. Moreover, an internal evaluation is employed to validate the strong discriminative power of our feature combinations.

关键词： Breast Diabetes Vehicles Classification algorithms Niobium Size measurement

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Detecting Optic Disk Based on Structured Learning

Detecting Optic Disk Based on Structured Learning

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IEEE International Conference on Robotics and Biomimetics

作者： Zhun Fan Yibiao Rong Xinye Cai Wenji Li Huibiao Lin Zefeng Yu Jiewei Lu Key Laboratory of Digital Signal and Image Processing of Guangdong Provincial College of Engineering Shantou University. 515063 Shantou China College of Engineering Shantou University. 515063 Shantou China school of computer science and technology Nanjing University of Aeronautics and Astronautics Jiangsu China

ISBN: (纸本)9781467396769

Optic Disk (OD) detection plays an important role for fundus image analysis. In this paper, we propose an algorithm for detecting OD mainly based on a classifier model trained by structured learning. Then we use the model to achieve the edge map of OD. Thresholding is performed on the edge map to obtain a binary image. Finally, circle Hough transform is carried out to approximate the boundary of OD by a circle. The proposed algorithm has been evaluated on the public database and obtained promising results. The results (an area overlap and Dices coefficients of 0.8636 and 0.9196, respectively, an accuracy of 0.9770, and a true positive and false positive fraction of 0.9212 and 0.0106) show that the proposed method is a robust tool for the segmentation of OD and is very competitive with the stage-of-the-art methods.

关键词： algorithm detecting method

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Image reconstruction of concrete based on Filtered Backprojection method using ultrasonic time of flight data

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computer Modelling and New Technologies 2014年第6期18卷 72-78页

作者： Fan, Honghui Zhu, Hongjin Han, Qingbang School of Computer Engineering Jiangsu University of Technology Changzhou Jiangsu China Sichuan Province Key Laboratory of Bridge non-destructive testing and engineering computing Zigong Sichuan China Key Laboratory of Cloud Computing Intelligent Information Processing of Changzhou City Changzhou Jiangsu China College of IOT Engineering Hohai University Jiangsu China

This research aims to recognize the defect of concrete materials using an ultrasonic computed tomography imaging technique. Filtered Backprojection method was used to reconstruct concrete images in this paper. Ultrasonic time of flight data was measured to reconstruct computer tomography images. 306 data paths were obtained in total by manual scanning for one computer tomography image. We examined the effect of the interpolation data as the density of time of flight data has a considerable effect on image quality. The feasibility of concrete reconstruction system and time of flight data interpolation were examined in detail using numerical and concrete phantoms.

关键词： Interpolation

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