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2012 Fourth International Conference on Digital Home最新文献

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Quasi-interpolation for Volumetric Data Reconstruction in S_4^2(Delta_3) S_4^2(Delta_3)中体积数据重构的拟插值方法
2012 Fourth International Conference on Digital Home Pub Date : 2012-11-23 DOI: 10.1109/ICDH.2012.56
You Lu, Lianen Ji
{"title":"Quasi-interpolation for Volumetric Data Reconstruction in S_4^2(Delta_3)","authors":"You Lu, Lianen Ji","doi":"10.1109/ICDH.2012.56","DOIUrl":"https://doi.org/10.1109/ICDH.2012.56","url":null,"abstract":"In this paper we propose a method based on basis in S<sub>4</sub><sup>2</sup>(Δ<sub>3</sub>) for reconstructing volumetric data sampled on the BCC lattice. In particular we implement numerical representation of a trivariate box spline reconstruction kernel in S<sub>4</sub><sup>2</sup>(Δ<sub>3</sub>). It is proved that the box spline have an uniform property and reconstruction that can be considered as a three dimensional extension of the well-known Zwart-Powell element in 2D. At the same time, we obtain the quasi-interpolation operators in S<sub>4</sub><sup>2</sup>(Δ<sub>3</sub>) and some supporting numerical results are presented.","PeriodicalId":308799,"journal":{"name":"2012 Fourth International Conference on Digital Home","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-11-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125454445","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Intelligent Water-Saving Irrigation System Based on Fuzzy Control and Wireless Sensor Network 基于模糊控制和无线传感器网络的智能节水灌溉系统
2012 Fourth International Conference on Digital Home Pub Date : 2012-11-23 DOI: 10.1109/ICDH.2012.13
Xiaohong Peng, Guodong Liu
{"title":"Intelligent Water-Saving Irrigation System Based on Fuzzy Control and Wireless Sensor Network","authors":"Xiaohong Peng, Guodong Liu","doi":"10.1109/ICDH.2012.13","DOIUrl":"https://doi.org/10.1109/ICDH.2012.13","url":null,"abstract":"A scheme is promoted which builds an auto system based on Fuzzy Control and wireless sensor network for water saving irrigation. The wireless sensor network is consists of sensor node, coordinator node and irrigation controller node. Here sensor node is responsible for gathering information such as soil humidity and air temperature regularly, and send it to the coordinator node. Fuzzy controller embedded in the coordinator node takes soil humidity and air temperature as its input and obtained water demand amount of crops through fuzzy inference and fuzzy judge and output it to irrigation controller node. Irrigation controller node controls the implementation of automatic watering. In this article, we describe the implementation scheme of sensor network node and fuzzy controller in detail. The experimental results show that the system can quickly and accurately calculate water demand amount of crops, which can provide a scientific basis for water-saving irrigation. Instead of traditionally wired connection, the wireless design made irrigation intelligent and convenient.","PeriodicalId":308799,"journal":{"name":"2012 Fourth International Conference on Digital Home","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-11-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126661103","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 18
Image Auto-Annotation and Retrieval Using Saliency Region Detecting and Segmentation Algorithm 基于显著区域检测与分割算法的图像自动标注与检索
2012 Fourth International Conference on Digital Home Pub Date : 2012-11-23 DOI: 10.1109/ICDH.2012.72
Helian Chen, Ruomei Wang
{"title":"Image Auto-Annotation and Retrieval Using Saliency Region Detecting and Segmentation Algorithm","authors":"Helian Chen, Ruomei Wang","doi":"10.1109/ICDH.2012.72","DOIUrl":"https://doi.org/10.1109/ICDH.2012.72","url":null,"abstract":"Automatically assigning one or more relevant keywords to image has important significance. It is easier for people to retrieve and understand large collections of image data. Recent years much research has focused upon this field. In this paper, we introduce a salient region detection and segmentation algorithm used for image retrieval and keywords auto-annotation. We investigate the properties of a bin-cross bin metric between two feather-vectors called the Earth Mover's Distance (EMD), to enhance the precision and recall performance. The EMD is based on a solution to the transportation problem from linear optimization. It is more robust than histogram matching techniques. In this paper we only focus on applications about color-feathers, and we compare the performances about image auto-annotation and retrieval between EMD and other histogram matching distances. The results indicate that our methods are more flexible and reliable.","PeriodicalId":308799,"journal":{"name":"2012 Fourth International Conference on Digital Home","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-11-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126718259","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 3
A New Method for Parsing Structures of Business Flow Diagram 业务流程图结构解析的一种新方法
2012 Fourth International Conference on Digital Home Pub Date : 2012-11-23 DOI: 10.1109/ICDH.2012.90
W. Deng, Jianqiang Sheng, Guangyuan Huang
{"title":"A New Method for Parsing Structures of Business Flow Diagram","authors":"W. Deng, Jianqiang Sheng, Guangyuan Huang","doi":"10.1109/ICDH.2012.90","DOIUrl":"https://doi.org/10.1109/ICDH.2012.90","url":null,"abstract":"In many business domain, flow diagrams play more and more important roles with which to represent commercial operation process. Many professional persons promote capability of decisions by means of this graphical descriptive tool. One of important issues is that given a diagram how to obtain the similar peer ones in repository or rank them according to designed algorithms. In this paper, we introduce a novel metric algorithm. Compared to previews methods, we focus not only on conventional semantic or syntactic similarity, but also on the nodes order in entire diagram hierarchical relationship. By precisely studying hundreds of diagrams, we conclude that node's layer order affect the similarity between two diagrams in some fields, such as business diagrams. We integrated layer order weight value and texts information embedded in the node into the flow diagram similarity measure system. Experimental results show that our algorithm is valid and efficient especially when considering layer orders.","PeriodicalId":308799,"journal":{"name":"2012 Fourth International Conference on Digital Home","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-11-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127887652","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
A New Intelligent Contour Tracking Algorithm in Binary Image 一种新的二值图像智能轮廓跟踪算法
2012 Fourth International Conference on Digital Home Pub Date : 2012-11-23 DOI: 10.1109/ICDH.2012.68
J. Rao, Juan Lin, Songhua Xu, Shujin Lin
{"title":"A New Intelligent Contour Tracking Algorithm in Binary Image","authors":"J. Rao, Juan Lin, Songhua Xu, Shujin Lin","doi":"10.1109/ICDH.2012.68","DOIUrl":"https://doi.org/10.1109/ICDH.2012.68","url":null,"abstract":"There are some problems in the traditional contour tracking algorithms based on direction to track boundary points. Such as low accuracy, low efficiency and easy to fall into the cycle of death. To solve these problems, this paper presents a new boundary contour tracking algorithm, it combines the boundary points' scanning direction and weights to determine the next boundary point, the algorithm can scan multiple connected region contours. Experiments show that our algorithm is not only very accurate, but also to get a complete and accurate target area outline. Especially for those contour feature points which distributed complicated area, it has better reflect superiority of the algorithm.","PeriodicalId":308799,"journal":{"name":"2012 Fourth International Conference on Digital Home","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-11-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129082169","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 4
Clothing Comfort Evaluation Model Based on Adaptive Fuzzy Neural Network 基于自适应模糊神经网络的服装舒适度评价模型
2012 Fourth International Conference on Digital Home Pub Date : 2012-11-23 DOI: 10.1109/ICDH.2012.81
Heng Du, Ruomei Wang, Daiguo Deng, Yu Liu
{"title":"Clothing Comfort Evaluation Model Based on Adaptive Fuzzy Neural Network","authors":"Heng Du, Ruomei Wang, Daiguo Deng, Yu Liu","doi":"10.1109/ICDH.2012.81","DOIUrl":"https://doi.org/10.1109/ICDH.2012.81","url":null,"abstract":"In order to improve the predictive precision and adaptability of the garment pressure evaluation model, we presented a dynamic evaluation model based on adaptive fuzzy neural network. In this paper, according to analysis of characteristics and limitations of the existing models, we present our model, and the final verify result showed that our method can significantly improve the evaluation quality of the clothing pressure comfort.","PeriodicalId":308799,"journal":{"name":"2012 Fourth International Conference on Digital Home","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-11-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121779920","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Adaptive Facial Expression Recognition Based on a Weighted Component and Global Features 基于加权分量和全局特征的自适应面部表情识别
2012 Fourth International Conference on Digital Home Pub Date : 2012-11-01 DOI: 10.1109/ICDH.2012.53
Rui Li, Min Hu, Xiaohua Wang, Liangfeng Xu, Zhong Huang, Xing Chen
{"title":"Adaptive Facial Expression Recognition Based on a Weighted Component and Global Features","authors":"Rui Li, Min Hu, Xiaohua Wang, Liangfeng Xu, Zhong Huang, Xing Chen","doi":"10.1109/ICDH.2012.53","DOIUrl":"https://doi.org/10.1109/ICDH.2012.53","url":null,"abstract":"An adaptive facial expression recognition method based on component and global features is presented in this paper. The facial component features are highlighted for purpose of improving facial expression percent correct rate. Firstly, eyebrows, eyes, nose and mouth are divided from a facial expression image and then the component features would be gotten from these organ images which are processed by Gabor wavelets. The weighted adaptive algorithm would be used to calculate the component feature weights, the weighted component features fuse with the global feature to get a feature fusion matrix. Finally, Weighted Principal Component Analysis (WPCA) and Fisher Linear Discriminant (FLD) methods are used to reduce dimensions and classify facial expression. Experimental results show that the algorithm proposed in this paper has much more accurate recognition rate compared with the global Gabor wavelets, PCA and FLD integrated algorithm.","PeriodicalId":308799,"journal":{"name":"2012 Fourth International Conference on Digital Home","volume":"172 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115985953","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 2
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