In this paper, we propose a system of automatically classifying different types of dates from their images. Different dates have various distinguished features that can be useful to recognize a particular date. These features include color, texture, and shape. In the proposed system, a color image of a date is decomposed into its color components. Then, local texture descriptor in the form of local binary pattern (LBP) or Weber local descriptor (WLD) histogram is applied to each of the components to encode the texture pattern of the date. The texture patterns from all the components are fused to describe the image. Fisher discrimination ratio (FDR) based feature selection is utilized to reduce the dimensionality of the feature set. Size and shape features are appended to the texture descriptors to fully describe the date. As a classifier, we use support vector machines. The proposed system achieves more than 99% accuracy to classify the dates and outperforms previous method of dates classification.
{"title":"Automatic Date Fruit Classification by Using Local Texture Descriptors and Shape-Size Features","authors":"Muhammad Ghulam","doi":"10.1109/EMS.2014.63","DOIUrl":"https://doi.org/10.1109/EMS.2014.63","url":null,"abstract":"In this paper, we propose a system of automatically classifying different types of dates from their images. Different dates have various distinguished features that can be useful to recognize a particular date. These features include color, texture, and shape. In the proposed system, a color image of a date is decomposed into its color components. Then, local texture descriptor in the form of local binary pattern (LBP) or Weber local descriptor (WLD) histogram is applied to each of the components to encode the texture pattern of the date. The texture patterns from all the components are fused to describe the image. Fisher discrimination ratio (FDR) based feature selection is utilized to reduce the dimensionality of the feature set. Size and shape features are appended to the texture descriptors to fully describe the date. As a classifier, we use support vector machines. The proposed system achieves more than 99% accuracy to classify the dates and outperforms previous method of dates classification.","PeriodicalId":350614,"journal":{"name":"European Symposium on Computer Modeling and Simulation","volume":"125 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126125822","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}
The Internet of Things (IoT) is a great challenge of our time that will lead, as many scientists argue, to the fourth industrial revolution with major benefits for people's everyday life. As the IoT is still a new field of research, there are various viewpoints regarding it. In this paper we propose an IoT architecture relied on the middleware. The basic principles, and also the strengths of the proposed architecture are the following: it uses mature standards with open source implementations, it ensures increased flexibility and scalability that allow the integration of a large number of current and future technologies, it includes facilities for unitary description of data exposed by THINGS, it decouples the address space of the local objects from the global address space seen in IoT, it is modular and hierarchic, with clear interfaces between hierarchical levels, it ensures data security.
{"title":"Gradual Development of an IoT Architecture for Real-World Things","authors":"N. Gaitan, V. Gaitan, I. Ungurean","doi":"10.1109/EMS.2015.57","DOIUrl":"https://doi.org/10.1109/EMS.2015.57","url":null,"abstract":"The Internet of Things (IoT) is a great challenge of our time that will lead, as many scientists argue, to the fourth industrial revolution with major benefits for people's everyday life. As the IoT is still a new field of research, there are various viewpoints regarding it. In this paper we propose an IoT architecture relied on the middleware. The basic principles, and also the strengths of the proposed architecture are the following: it uses mature standards with open source implementations, it ensures increased flexibility and scalability that allow the integration of a large number of current and future technologies, it includes facilities for unitary description of data exposed by THINGS, it decouples the address space of the local objects from the global address space seen in IoT, it is modular and hierarchic, with clear interfaces between hierarchical levels, it ensures data security.","PeriodicalId":350614,"journal":{"name":"European Symposium on Computer Modeling and Simulation","volume":"79 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115010987","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}
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