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2014 International Conference on Materials Science and Computational Engineering, ICMSCE 2014

作者： Zeng, Wei He, Yong Le Zheng, Xiao Jun China North Vehicle Research Institute Beijing 100072 China School of Mechanical Engineering Dalian University of Technology Dalian 116024 China Key Laboratory of Advanced Design and Intelligent Computing Dalian University Ministry of Education Dalian 116622 China

ISBN: (纸本)9783038350996

Multi-depot vehicle routing problem (MDVRP for short) is complex and a typical NP-Hard problem in manufactories, especially in assembly plant. We herein present an ant colony algorithm with memory grouping list (ACMGL for short) to solve this problem. To handle affiliation between clients and depots, we present certain point grouping (CP Grouping) and uncertain point grouping (UP Grouping) and obtain variable grouping purposes, make a grouping memory list for each depot store the optimal value and path of uncertain grouping after UP grouping, and thus improve the efficiency of the operation. Experimental results verified our algorithm in the computational efficiency. © (2014) Trans Tech Publications, Switzerland.

关键词： Computational efficiency

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Chinese microblogging emotion classification based on support vector machine

Chinese microblogging emotion classification based on suppor...

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International Conference on computing and Networking Technology (ICCNT)

作者： Xiao Sun Chengcheng Li Jiaqi Ye Anhui Province Key Laboratory of Affective Computing and Advanced Intelligent Machine Hefei University of Technology Hefei China

ISBN: (纸本)9781479926978

Through the analysis and study of the emotional characteristics in Chinese micro-blog, this paper proposed a multidimensional sentiment classification method based micro-blog emotion classification, emoticon in micro-blog is adopted to train the support vector machine and divide micro-blog into seven types of emotions: happiness, fondness, sorrow, anger, fear, detestation and surprise. We used micro-blog emoticon to initial screen large-scale unmarked data, and automatically labeled them into seven types, then used this emotional corpus as training set to train the emotion classifier to classify micro-blog data into multiple emotion categories. The experimental results show that precision of unigram model for each type can reach 63.7%. Meanwhile, different feature selection methods for support vector machines and Naive Bayes classifier experiment have been adopted in the experiment, the precision and recall has reached more than 71%.

关键词： Accuracy Support vector machines Twitter Niobium Training Blogs Sentiment analysis

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Hybrid model based sentiment classification of Chinese micro-blog

Hybrid model based sentiment classification of Chinese micro...

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International Conference on Audio, Language and Image Processing, ICALIP

作者： Xiao Sun Chengcheng Li Anhui Province Key Laboratory of Affective Computing and Advanced Intelligent Machine Hefei University of Technology Hefei China

ISBN: (纸本)9781479939046

Through analysis and study of emotional characteristics in Chinese micro-blog, such as Sina Weibo, this paper proposed a multidimensional sentiment classification method based on micro-blog emoticon by dividing micro-blog into 7 types of emotions categories: happiness, fondness, sorrow, anger, fear, detestation and surprise. We used predefined micro-blog emoticon sets to initial screen large-scale unmarked data, and automatically labeled them, then used this emotional corpus as training set to train the emotion classifier, which divided micro-blog data into multiple emotion categories. The experimental results show that accuracy rate of using unigram model for each class can reach 63.7%. And the adoption of different feature selection methods for Support Vector Machines and Naive Bias classifier experiment, by which the obtained accuracy rate and recall rate has reached higher than 71%.

关键词： Accuracy Blogs Support vector machines Twitter Niobium Educational institutions Training

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FRUIT RECOGNITION BASED ON MULTI-FEATURE AND MULTI-DECISION

FRUIT RECOGNITION BASED ON MULTI-FEATURE AND MULTI-DECISION

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2014 IEEE 3rd International Conference on Cloud computing and Intelligence Systems

作者： Xiaohua Wang Wei Huang Chao Jin Min Hu Fuji Ren Affective Computing and Advanced Intelligent Machines Anhui Key Laboratory School of Computer and Information Hefei University of Technology

In order to overcome the existing fruit recognition method only for single feature recognition which leads the problem of lower recognition rate,this paper proposes a recognition method based on multi-feature and ***,we preprocess the fruit image which is to be classified,separateing foreground and background,and then we divide the target ***,in order to take full advantage of multi-independence and complementarity between features,we extract the color,shape and texture of fruits image and put these features into the BP neural network to ***,the results of different features are put into the decision-making mechanisms to obtain a final recognition *** experiment results on object library and self-built library that is built by ourselves show that the method has good identification ability to fruit recognition and achieve the goal to identify different fruit.

关键词： fruit features BP neural network multi-feature multi-decision

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Design and realization of 3D NOC multicast router base on multicast rotational routing arithmetic

Design and realization of 3D NOC multicast router base on mu...

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International Conference on computing and Networking Technology (ICCNT)

作者： Wei Wang Runfeng Li Fang Fang Tian Chen Fuji Ren Jun Liu Xi Wu Hefei University of Technology Hefei China Anhui Province Key Laboratory of Affective Computing and Advanced Intelligent Machine China

ISBN: (纸本)9781479926978

Traditional 3D NoC router may encounter the situations of congestion and hot spot. And it also doesn't have the function of multicast. In this paper, we present a new routing arithmetic called Multicast Rotational Routing Arithmetic (MRRA). It can handle several destination addresses at the same time, recombine packets, sent the same data to the different destination nodes, and avoid the congestion. The proposed algorithm is implemented by the new multicast 3D NoC router which is also proposed in this paper. The 3D NoC router is designed in Verilog HDL, simulated by Modelsim, synthesized and prototyped by Synplify and FPGA respectively. The experiment results show that the multicast router of MRRA can achieve a very good performance in terms of throughput and delay. The increased area utilization also can be tolerated.

关键词： Routing Three-dimensional displays Throughput Algorithm design and analysis Ports (Computers) Hardware design languages Integrated circuits

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A new method for motif mining in biological networks

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Evolutionary Bioinformatics 2014年第2014期10卷 155-163页

作者： Xu, Yuan Zhang, Qiang Zhou, Changjun Key Laboratory of Advanced Design and Intelligent Computing Dalian University Ministry of Education Dalian China

Network motifs are overly represented as topological patterns that occur more often in a given network than in random networks, and take on some certain functions in practical biological applications. Existing methods of detecting network motifs have focused on computational efficiency. However, detecting network motifs also presents huge challenges in computational and spatial complexity. In this paper, we provide a new approach for mining network motifs. First, all sub-graphs can be enumerated by adding edges and nodes progressively, using the backtracking method based on the associated matrix. Then, the associated matrix is standardized and the isomorphism sub-graphs are marked uniquely in combination with symmetric ter-nary, which can simulate the elements (−1,0,1) in the associated matrix. Taking advantage of the combination of the associated matrix and the backtracking method, our method reduces the complexity of enumerating sub-graphs, providing a more efficient solution for motif mining. From the results obtained, our method has shown higher speed and more extensive applicability than other similar methods. © the authors, publisher and licensee Libertas Academica Limited.

关键词： Associated matrix Backtracking Sub-graphs mark Symmetric ternary

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Watermarking embedding algorithm for archive image based on image normalization and principal component analysis

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Journal of Computational and Theoretical Nanoscience 2014年第9期11卷 1947-1953页

作者： Wang, Ling Zhou, Changjun Archives of Dalian University Dalian 116622 China Key Laboratory of Advanced Design and Intelligent Computing Dalian University Ministry of Education Dalian 116622 China

In this paper, an algorithm that embed watermarking into archive image based on image normalization and PCA is proposed, which is based on image normalization and invariant centroid theory. For the purpose of enhancing the invisibility and resistance to geometric attack of watermarking, we first encrypt the watermarking with chaotic method before information embedding, and then eliminate the effect of geometric change to archive image by utilizing image normalization. Finally, PCA was applied to embed the watermarking in subspace. Corresponding, we perform inverse transform to the archive image which is attacked by geometric transformation before extracting the watermarking. Thus, we can prove the truth of the attacked archive image by the extracted watermarking which is recognizable. Copyright © 2014 American Scientific Publishers All rights reserved.

关键词： Principal component analysis

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A test data compression scheme based on position information coding

A test data compression scheme based on position information...

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International Conference on computing and Networking Technology (ICCNT)

作者： Tian Chen Bingdong Yang Wei Wang Birong Hao Fuji Ren Jun Liu YiXin Wang AnHui Province Key Laboratory of Affective Computing and Advanced Intelligent Machine Hefei University of Technology Hefei The University of Tokushima Japan

ISBN: (纸本)9781479926978

Under the condition of Built-off Self-test (BOST), a novel test data compression scheme based on position information coding is presented, which is targeting test data and test power consumption. The proposed scheme gets the next test stimuli by reversing some bits of the responses corresponding to the previous test vectors. During the process of bit flip, test power problem should be taken into account; both the shift power and capture power during the test should be limited in the scope of security. For shift power, need to modify the scan chain by adding blocking logic; and the capture power reduction through the test cube filling based on the response. Experimental results justify the efficacy of the proposed method in attaining test-data compression; the average compression ratio is 73.63% on the premise of capture power consumption reduced by 20%.

关键词： Encoding Hamming distance Test data compression Radiation detectors Hardware Sorting Built-in self-test

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WEWATCH:BI-SCREEN VIDEO WATCHING EXPERIENCE ON SMART DEVICES

WEWATCH:BI-SCREEN VIDEO WATCHING EXPERIENCE ON SMART DEVICES

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2014 IEEE 3rd International Conference on Cloud computing and Intelligence Systems

作者： Fuji Ren Mengni Chen Yu Gu Anhui Province Key Laboratory of Affective Computing and Advanced Intelligent Machine School of Computing and InformationHefei University of Technology Dept.of Information Science & Intelligent Systems Univ.of TokushimaJapan

The high resolution and widescreen mobile devices have tremendous applications in our daily *** this paper,we demonstrate a specific bi-screen video sharing application called WeWatch that a high resolution video is played across screens of two mobile *** helps users to enhance their watching experience on the Android *** order to efficiently use idle mobile devices,we develop a novel algorithm to share videos with devices with different screen sizes and *** research provides a method which automatically controls videos based on different distances between *** distance is determined by the empirical WiFi RSSI values obtained through the experimental *** have prototyped the system and conducted a real-world energy efficiency and user experience *** show that WeWatch has negligible impact on battery lifetime while over 80%users like our application.

关键词： Video Sharing Screen adaptation Distance detection Energy efficiency.

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A Connected Component-Based Distributed method for overlapping community detection 5

A Connected Component-Based Distributed method for overlappi...

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5th International Conference on computing Communication and Networking Technologies, ICCCNT 2014

作者： Chen, Tian Liu, Kai Yi, Xin Shen, Dandan Wang, Wei Ren, Fuji Liu, Jun School of Computer and Information Hefei University of Technology Hefei230009 China Anhui Province Key Laboratory of Affective Computing and Advanced Intelligent Machine Hefei University of Technology Hefei230009 China AnHui Agricultural University Hefei230036 China University of Tokushima 770-8506 Japan

ISBN: (纸本)9781479926961

In order to find the overlapping community structure more quickly and accurately in complex network, this paper proposes a Connected Component-Based Distributed method (CCBD) for overlapping community detection. CCBD first divides edges set in the network into smaller one. Next, it seeks out connected component using distributed platforms and gives a serials number to them according to certain rules. Then, it classifies these connected components according to the serials number. Task nodes determine whether any two connected components and non-propagating edges can be connected to become a larger community. Finally, CCBD negotiates a new serials name for the new community. Through repeated iterations, we get the community structure in the network. Nodes belong to multiple communities are overlapping nodes. Experiment results show that CCBD has higher time efficiency benefiting from distributed computing. Moreover, the quality of communities detected by CCBD surpasses those found by other algorithms. © 2014 IEEE.

关键词： Complex networks

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