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检索条件"机构=Affective Computing and Advanced Intelligent Machines Key Laboratory"

共 109 条记录，以下是81-90 订阅

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WEWATCH:BI-SCREEN VIDEO WATCHING EXPERIENCE ON SMART DEVICES

WEWATCH:BI-SCREEN VIDEO WATCHING EXPERIENCE ON SMART DEVICES

引用

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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Test wrapper optimization technique using BDF and GA for 3D IP cores

Test wrapper optimization technique using BDF and GA for 3D ...

引用

International Conference on computing and Networking Technology (ICCNT)

作者： Jun Liu Qingqing Qian Xi Wu Fuji Ren Wei Wang Tian Chen AnHui Province Key Laboratory of Affective Computing and Advanced Intelligent Machine Hefei University of Technology Hefei Department of Information Science & Intelligent Systems The University of Tokushima Tokushima Japan

To reduce pre-bond and post-bond test cost for 3D IP (Three Dimensional Intellectual Property) cores, this paper proposed a test wrapper optimization technique using BFD(Best Fit Decreasing) and GA (Genetic Algorithm) algorithm under the constraints of TSVs(Through Silicon Vias) number, the proposed technique firstly used BFD to balance the length of pre-bond wrapper chains to reduce pre-bond test time. Then, on the basis of optimization results of pre-bond wrapper chains, the GA was used to stitch pre-bond wrapper chains to form balanced post-bond wrapper chains under the constrained TSVs number to reduce hardware overhead and post-bond test time. Experimental results demonstrated the presented methodology can effectively reduce hardware overhead at the cost of little increased test time.

关键词： Biological cells Three-dimensional displays Hardware IP networks System-on-chip Genetic algorithms Sociology

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WeWatch: Bi-screen video watching experience on smart devices

WeWatch: Bi-screen video watching experience on smart device...

引用

IEEE International Conference on Cloud computing and Intelligence Systems (CCIS)

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

ISBN: (纸本)9781467369541

The high resolution and widescreen mobile devices have tremendous applications in our daily lives. In 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 devices. It helps users to enhance their watching experience on the Android system. In order to efficiently use idle mobile devices, we develop a novel algorithm to share videos with devices with different screen sizes and resolutions. Our research provides a method which automatically controls videos based on different distances between devices. The distance is determined by the empirical WiFi RSSI values obtained through the experimental studies. We have prototyped the system and conducted a real-world energy efficiency and user experience evaluations. Results show that WeWatch has negligible impact on battery lifetime while over 80% users like our application.

关键词： Aggregates Smart phones Servers Information services Electronic publishing Internet

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IMAGE RESTORATION METHOD SELF-ADAPTIVE TO THE DIELECTRIC LAYER COLOR

IMAGE RESTORATION METHOD SELF-ADAPTIVE TO THE DIELECTRIC LAY...

引用

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

作者： Tian Chen Xin Yi Dandan Shen Fuji Ren Wei Wang Bingdong Yang Anhui Province Key Laboratory of Affective Computing and Advanced Intelligent Machine Hefei University of Technology School of Computer and Information Hefei University of Technology The University of Tokushima 770-8506Japan

This paper put forwards a new single image restoration method which is self-adaptive to the dielectric layer *** method is used to solve the problem that existing single image visibility restoration method has limited adaptability for dielectric layer color in image acquisition ***,the method can remove influence caused by propagation medium layer from input image,realizing visibility restoration of the input *** show hazy image restoration method proposed by this paper has better adaption ability for dielectric layer color and recover an image.

关键词： Image Restoration Self-Adaptive Dielectric Layer Color Defogging

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MINING THE IMPACT OF SOCIAL NEWS ON THE EMOTIONS OF USERS BASED ON DEEP MODEL

MINING THE IMPACT OF SOCIAL NEWS ON THE EMOTIONS OF USERS BA...

引用

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

作者： Xiao Sun Fei Gao Fuji Ren Anhui Province Key Laboratory of Affective Computing and Advanced Intelligent Machine School of Computer and InformationHefei University of Technology Faculty of Engineering University of Tokushima2-1 Minami-JosanjimaTokushima 770-8506Japan

ISBN: (纸本)9781467369541

In this paper,Deep Belief Nets(DBN) model and Support Vector Machine(SVM) are used to mine the features hidden in social news,which can influence the emotions of *** feature selection methods for text modeling are used to build the input vectors of DBN,with the purpose of keeping the text information to the greatest *** take advantage of the deep features abstracted by DBN to build social news text *** the same time,three optimal models are used as inputs of SVM to train and classify the social *** get a conclusion that DBN not only reduces the dimension of original features,but also makes the abstracted features with more text information and shows better performance in determining the influence on people' s emotions by social news.

关键词： Deep Belief Network(DBN) Restricted Boltzmann Machine(RBM) Impacts on Emotion Social News

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A Connected Component-Based Distributed method for overlapping community detection

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

引用

International Conference on computing and Networking Technology (ICCNT)

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

ISBN: (纸本)9781479926978

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.

关键词： Communities Algorithm design and analysis Educational institutions Complex networks Clustering algorithms Distributed computing Complexity theory

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Dynamic facial expression recognition based on K-order emotional intensity model

Dynamic facial expression recognition based on K-order emoti...

引用

IEEE International Conference on Robotics and Biomimetics

作者： Changqin Quan Yao Qian Fuji Ren Anhui Province Key Laboratory of Affective Computing and Advanced Intelligent Machine Hefei University of Technology Hefei China P.R. The Japan Federation of Engineering Societies University of Tokushima Shinkura-cho Tokushima Japan

ISBN: (纸本)9781479973989

With the development of artificial intelligence and pattern recognition, facial expression recognition plays a more and more important role in intelligent human-computer interaction. In this paper, we present a model named K-order emotional intensity model (K-EIM) which is based on K-Means clustering. Different from other related works, the proposed approach can quantify emotional intensity in an unsupervised way. And then the output from K-EIM is encoded. The coding results are used for the dynamic facial expression recognition. The experiment is conducted on Cohn-Kanade facial expression database and the support vector machine classifier is used for facial expression classification. This method achieved a dynamic facial expression recognition accuracy of 88.32% which suggest that the proposed method shows better performance and proves its validity. Moreover, effect of different segments of emotional intensity is also discussed in the paper.

关键词： Face recognition Encoding Accuracy Emotion recognition Principal component analysis Training Feature extraction

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Expression image preprocessing based on wavelet transform

Expression image preprocessing based on wavelet transform

引用

IEEE International Conference on Robotics and Biomimetics

作者： Changqin Quan Xiaoming Xu Fuji Ren The Anhui Province Key Laboratory of Affective Computing and Advanced Intelligent Machine Hefei University of Technology Hefei China P.R Hefei University of Technology Hefei Anhui CN The University of Tokushima Tokushima Japan

ISBN: (纸本)9781479973989

In this paper, we present a new image preprocessing method which is based on Wavelet Transform. Before we extract expression texture information, Wavelet transform will be applied to remove partial high frequency information. And then Gabor Transform will be used to extract expression information. At last we chose the Support Vector Machine to classify facial expressions. Experiments on the Japanese Female Facial Expression (JAFFE) Database illustrate that the Wavelet Transform and Gabor features are effective for facial expression discrimination. Additionally, the experiment results validate the feasibility of this method.

关键词： Decision support systems Conferences Robots Biomimetics XML Wavelet transforms

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NEW WORD DETECTION AND EMOTIONAL TENDENCY JUDGMENT BASED ON MIXED MODEL

NEW WORD DETECTION AND EMOTIONAL TENDENCY JUDGMENT BASED ON ...

引用

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

作者： Xiao Sun Chongyuan Sun Fuji Ren Anhui Province Key Laboratory of Affective Computing and Advanced Intelligent Machine School of Computer and InformationHefei University of Technology Faculty of Engineering University of Tokushima2-1 Minami-JosanjimaTokushima 770-8506Japan

ISBN: (纸本)9781467369541

The paper studies a new method for Chinese new word detection and emotional tendency judgment based on mixed model and proposes a new word generation *** we construct conditional random fields(CRFs) to recognize the new words,lead-in features based on character combined with the crowd sourcing network *** then express word as a word vector based on neural network language model(NNLM) to judge the new word emotional *** experimental results show that the method can improve the precision and recall of the new word detection with a good system performance,and it also provides a new way for forecasting the public mood.

关键词： New Word Detection Conditional Random Fields Emotional Tendency Judgment Neural Network Language Model

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MODELING BLOG USER FOR CHINESE MICRO-BLOG SENTIMENT CLASSIFICATION WITH FUZZY SVM

MODELING BLOG USER FOR CHINESE MICRO-BLOG SENTIMENT CLASSIFI...

引用

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

作者： Xiao Sun Chengcheng Li Fuji Ren Anhui Province Key Laboratory of Affective Computing and Advanced Intelligent Machine School of Computer and InformationHefei University of Technology Faculty of Engineering University of Tokushima2-1 Minami-JosanjimaTokushima 770-8506Japan

ISBN: (纸本)9781467369541

Micro-blog is easily posted and communicated because of its short text ***,its brevity limits the feature *** paper presents a blogger modeling method for Chinese micro-blog sentiment *** paper would adopt a multidimensional strategy to accomplish the feature extraction *** with traditional feature extraction methods and combined with the interactive property of blog,the blog comment will be considered as the performance characteristic of micro-blog emotion *** comes to comments content and the relationship between commentators and micro-bloggers while it extracts the micro blogging text *** last,the paper adopts fuzzy SVM model to reduce the sensation of noise points and outliers on classification *** results demonstrate the effectiveness of the multidimensional feature extraction method on sentiment classification and the classify effect of fuzzy SVM is better than SVM.

关键词： sentiment classification multidimensional fuzzy SVM

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