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Chinese Automation Congress (CAC)

作者： Ruo Jia Wei Hu Ziheng Li Zewei Ma Jiapei Wang Hubei Province Key Laboratory of Intelligent Information Processing and Real-time Industrial System China College of Computer Science and Technology Wuhan University of Science and Technology Wuhan Hubei China

Mobile intelligent devices are popular nowadays. As one type of embedded systems, such devices have strict response requirements. When the users click on the screen, the display should give the response as soon as possible. The on-chip programmable memory can be used to optimize the process. The main on-chip programmable memory is on-chip SRAM, which is called scratchpad memory. In this paper, a novel approach is proposed to speed the display for mobile intelligent devices based on scratchpad memory. The programs are analyzed and the most used parts are selected and assigned to on-chip programmable memory. Such memory has faster access speed and lower power consumption compared with the traditional off-chip memory and cache. The experimental results show that this approach has reduced the response time and improved the performance of the system.

关键词： System-on-chip Random access memory Optimization Program processors Memory management Mobile communication Frequency conversion

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Communication energy oriented scheduling optimization for network on chip

Communication energy oriented scheduling optimization for ne...

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Chinese Automation Congress (CAC)

作者： Dongsheng Ye Wei Hu Benben Liu Xinwei Cao Zhanyan Zhang Hubei Province Key Laboratory of Intelligent Information Processing and Real-time Industrial System China College of Computer Science and Technology Wuhan University of Science and Technology Wuhan Hubei China

ISBN: (纸本)9781467371902

It is difficult to improve the performance for the traditional processor architecture. The power consumption and the temperature of the processors are the main bottlenecks for CPU with single core. Chip multiprocessor is proposed to solve such problems. In order to solve the communication problem between the on chip components, network on chip is taken as the promising diagram. The on-chip cores are connected by lines. However, the communication is now the core of the on-chip network and the power consumed is more than before. This paper aims at the energy consumption problem in communication. The tasks will be mapped to the cores according to the communication density to reduce the power consumption and improve the performance. The experimental results show that our algorithm can achieve its target.

关键词： System-on-chip Power demand Optimization Silicon Multicore processing Dynamic scheduling

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Effective handwritten digit recognition based on multi-feature extraction and deep analysis

Effective handwritten digit recognition based on multi-featu...

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International Conference on Fuzzy Systems and Knowledge Discovery (FSKD)

作者： Caiyun Ma Hong Zhang College of Computer Science and Technology Wuhan University of Science and Technology Wuhan China Hubei Province Key Laboratory of Intelligent Information Processing and Real-time Industrial System Wuhan China

ISBN: (纸本)9781467376839

Handwritten digit recognition is an important research topic in computer vision and pattern recognition. This paper proposes an effective handwritten digit recognition approach based on specific multi-feature extraction and deep analysis. First, we normalize images of various sizes and stroke thickness in preprocessing to eliminate negative information and keep relevant features. Secondly, considering that handwritten digit image recognition is different from traditional image semantics recognition, we propose specific feature definitions, including structure features, distribution features and projection features. Moreover, we fuse multiple features into the deep neural networks for semantics recognition. Experiments results on benchmark database of MNIST handwritten digit images show that the performance of our algorithm is remarkable and demonstrate its superiority over several existing algorithms.

关键词： Feature extraction Handwriting recognition Image recognition Databases Neural networks Error analysis Training

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A feature selection algorithm towards efficient intrusion detection

International Journal of Multimedia and Ubiquitous Engineeri...

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International Journal of Multimedia and Ubiquitous Engineering 2015年第11期10卷 253-264页

作者： Yin, Chunyong Ma, Luyu Feng, Lu 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

Feature selection algorithm plays a crucial role in intrusion detection, data mining and pattern recognition. According to some evaluation criteria, it gets optimal feature subset by deleting unrelated and redundant features of the original data set. Aiming at solving the problems about the low accuracy, the high false positive rate and the long detection time of the existing feature selection algorithm. In this paper, we come up with a feature selection algorithm towards efficient intrusion detection, this algorithm combines the correlation algorithm and redundancy algorithm to chooses the optimal feature subset. Experimental results show that the algorithm shows almost and even better than the traditional feature selection algorithm on the different classifiers. © 2015 SERSC.

关键词： Redundancy

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Feature subset selection using naive Bayes for text classification

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Pattern Recognition Letters 2015年 65卷 109-115页

作者： Guozhong Feng Jianhua Guo Bing-Yi Jing Tieli Sun Key Laboratory for Applied Statistics of MOE School of Mathematics and Statistics Northeast Normal University Changchun 130024 China Key Laboratory of Intelligent Information Processing of Jilin Universities School of Computer Science and Information Technology Northeast Normal University Changchun 130117 China Department of Mathematics Hong Kong University of Science and Technology Clear Water Bay Kowloon Hong Kong

Feature subset selection is known to improve text classification performance of various classifiers . The model using the selected features is often regarded as if it had generated the data. By taking its uncertainty into account, the discrimination capabilities can be measured by a global selection index (GSI), which can be used in the prediction function. In this paper, we propose a latent selection augmented naive (LSAN) Bayes classifier. By introducing a latent feature selection indicator, the GSI can be factorized into each local selection index (LSI). Using conjugate priors , the LSI for feature evaluation can be explicitly calculated. Then the feature subset selection models can be pruned by thresholding the LSIs, and the LSAN classifier can be achieved by the product of a small percentage of single feature model averages. The numerical results on some real datasets show that the proposed method outperforms the contrast feature weighting methods, and is very competitive if compared with some other commonly used classifiers such as SVM.

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Ontology-based knowledge modeling for using physical effects

Ontology-based knowledge modeling for using physical effects

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World Conference: TRIZ FUTURE 2011-2014

作者： Yan, Wei Zanni-Merk, Cecilia Rousselot, François Cavallucci, Denis Collet, Pierre School of Information Science and Engineering Shandong Normal University Jinan250014 China Shandong Provincial Key Laboratory for Novel Distributed Computer Software Technology Jinan250014 China LGECO INSA Strasbourg 24 Boulevard de la Victoire Strasbourg Cedex67084 France Pôle API BP 10413 Illkirch Cedex67412 France

Su-Field analysis, as one of the inventive problem solving tools, can be used to analyse and improve the efficacy of the technical system. Generally, the process of using Su-Field model to solve a specific inventive problem includes: building a Problem Model, mapping to a Generic Problem Model, finding a Generic Solution Model based on the corresponding inventive standard, and finally establishing and instantiating a Solution Model. As one of the most important phases of Su-Field analysis, the last step is normally implemented manually with the help of physical effects, which link generic technical functions with specific applications and systems. The physical effects compatible with the context of the specific problem should be chosen to assist the users to instantiate the Solution Model. However, the physical effects and the specific problems are built at different levels of abstraction, and it is difficult for the users to choose, that is, given a certain function, too many physical effects are chosen while with the detailed context of the problem, no physical effect is returned. This paper firstly proposes a new way of representing physical effects using the change of two states, that is, the couple of two states before and after applying physical effects. Then, the knowledge about using physical effects is formalized in OWL (Ontology Web Language) - an ontology language for semantic web, and the constraint knowledge, such as the condition to use each kind of physical effect, is formalized in SWRL (Semantic Web Rule Language) - a rule language. Finally, the reasoning process of using physical effects is performed with the support of JESS (Java Expert System Shell) rule engine. © 2015 The Authors. Published by Elsevier Ltd.

关键词： Ontology

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The Feasibility of Long Cycle Time Synchronization for Wireless Sensor Networks

The Feasibility of Long Cycle Time Synchronization for Wirel...

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2015 4th National Conference on Electrical,Electronics and computer Engineering(NCEECE 2015)

作者： Fuqiang Wang Xiaoming Wu Hong Liu Yifan Hu Xiangzhi Liu Shandong Computer Science Center (National Supercomputer Center in Jinan) Shandong Academy of Sciences Shandong Provincial Key Laboratory of Computer Networks College of Information Science and Engineering Shandong University of Science and Technology

ISBN: (纸本)9781510819085

Energy efficiency has received extensive attention in energy-constrained Wireless Sensor Networks(WSNs). As is known, radio communication accounts for major energy consumption of wireless device and the control of radio transmitter can make effective function with energy efficiency system. In this paper we test and analyse the relationship between precision and synchronization rate and we also give an initial model denote for the relationship among synchronous cycle, time error and energy consumption. The experiments and analysis in the paper show the feasibility of long cycle time synchronization for WSNs under certain limitation and the result will be helpful for the time synchronization method with low energy consumption.

关键词： Wireless Sensor Networks Time Synchronization Low Energy Consumption Precision

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A heuristic method of using the pointers to physical effects in Su-Field analysis

A heuristic method of using the pointers to physical effects...

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World Conference: TRIZ FUTURE 2011-2014

作者： Yan, Wei Zanni-Merk, Cecilia Rousselot, François Cavallucci, Denis Collet, Pierre School of Information Science and Engineering Shandong Normal University Jinan250014 China Shandong Provincial Key Laboratory for Novel Distributed Computer Software Technology Jinan250014 China LGECO INSA Strasbourg 24 Boulevard de la Victoire Strasbourg Cedex France Pôle API BP 10413 Illkirch Cedex67412 France

While TRIZ is increasingly developing both in research and education, users always encounter difficulties in their attempts to practice it, especially for one of the most complicated inventive problem solving tools, the Su-Field analysis, which is used to analyze and improve the efficiency of a technical system. Generally, the process of using a Su-Field model to solve a specific inventive problem includes: building a Problem Model, mapping it to a Generic Problem Model, finding a Generic Solution Model based on the corresponding inventive standard and finally establishing and interpreting a Solution Model in real life. As one of the most important phases of the Su-Field analysis, the last step is normally implemented manually with the help of the pointers to physical effects, which link generic technical functions to specific applications and systems. The adequate pointer, compatible with the context of the specific problem, should be chosen to assist the users to instantiate the Solution Model. However, the pointers to physical effects and the specific problems are built at different levels of abstraction, so it is difficult for the users to choose among many eligible pointers to physical effects given a certain function. This paper proposes a heuristic method to use the pointers to physical effects based on ontology reasoning. The use of formal models, called ontologies, allows to formally define the concepts about the models and the effects and to apply logical reasoning on them. An inventive standards ontology and a physical effects ontology are firstly built to describe the process of Su- Field analysis, and then the logical reasoning rules are established according to a lexical dictionary, the analysis of the inventive standards and the physical effects. The lexical dictionary, based on WordNet, is built to improve the selection of the appropriate effect to apply. Finally, ontology reasoning is implemented to provide heuristic physical effects for the users.

关键词： Ontology

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A method for facilitating inventive design based on semantic similarity and case-based reasoning

A method for facilitating inventive design based on semantic...

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World Conference: TRIZ FUTURE 2011-2014

作者： Yan, Wei Zanni-Merk, Cecilia Rousselot, François Cavallucci, Denis School of Information Science and Engineering Shandong Normal University Jinan250014 China Shandong Provincial Key Laboratory for Novel Distributed Computer Software Technology Jinan250014 China LGECO INSA Strasbourg 24 Boulevard de la Victoire Strasbourg Cedex67084 France Pôle API BP 10413 Illkirch Cedex67412 France

While TRIZ is increasingly developing both in research and education, new users always encounter difficulties in their first attempts to practice it. In such situation, Altshuller's original matrix often appears as an "easy-to-begin- with" tool. However, while not being representative of what TRIZ really is, it continues to seduce new users, teachers and trainers. Several approaches to automate the use of the contradiction matrix have been proposed in literature, and researches on the automatic match between specific parameters of the artefact being considered and Altshuller's generalized parameters remains a topic of interest. In this paper, we propose a way to automate the proposal of equivalencies between a specific parameter and a generic parameter from the matrix. This method calculates the semantic distance between short texts, and uses it to fill the semantic gap between the specific parameters of the artefact and the generalized ones. Case-based reasoning is also used to improve the whole accuracy of the method. © 2015 The Authors. Published by Elsevier Ltd.

关键词： Ontology

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Short text classification algorithm based on semi-supervised learning and SVM

International Journal of Multimedia and Ubiquitous Engineeri...

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International Journal of Multimedia and Ubiquitous Engineering 2015年第12期10卷 195-206页

作者： Yin, Chunyong Xiang, Jun Zhang, Hui Yin, Zhichao Wang, Jin Jiangsu Key Laboratory of Meteorological Observation and Information Processing School of Computer and Software Jiangsu Engineering Center of Network Monitoring Nanjing University of Information Science and Technology Nanjing China Nanjing No.1 Middle School NanjingJiangsu China

Short text is a popular text form, which is widely used in real-time network news, short commentary, micro-blog and many other fields. With the development of the application such as QQ, mobile phone text messages and movie websites, the size of data is also becoming larger and larger. Most data is useless for us while other data is significant for us. Therefore, it is necessary for us to extract the useful short text from the big data. However, there are many problems with the short text classification, such as fewer features, irregularity and so on. To solve these problems, we should pretreat the short text set first, and then choose the significant features. This paper use semi-supervised learning method and SVM classifier to improve the traditional methods and it can classify a large number of short texts to mining the useful massage from the short text. The experimental results in this paper also show a good promotion. © 2015 SERSC.

关键词： Supervised learning

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