AADL supports standard accurate modeling of embedded systems and has been widely used in the embedded field. However, as a new modeling language, modeling and analysis tools of AADL are not mature enough. In the field...
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Simulation of Vehicular Ad Hoc Networks (VANET) plays an crucial role on design and development of VANET including routing algorithms, mobility management and so on. In the paper, the SVNRCS system is presented to sim...
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The shortcoming in development of Mobile value-added business is analyzed firstly, then the Meaning and Purpose of the MISC Platform connected SP's interface project are introduced. The mainframe, key technique an...
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According to the deficiencies of resource information management and information visualization and other aspects in the current planting resources management decision-making system, this paper studied relational datab...
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This paper is a survey on the optical fiber communication and optical networks. First, we show a historical perspective of optical fiber communication and the progress of optical networks. In addition, we give a rough...
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The dramatic growth of the amount of information that is made available through computer systems and the increasing need to access relevant information anywhere at any time are more and more overwhelming the cognitive...
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ISBN:
(纸本)9781612081717
The dramatic growth of the amount of information that is made available through computer systems and the increasing need to access relevant information anywhere at any time are more and more overwhelming the cognitive capacity of human users. Instead of providing the right information at the right time, current computer systems are geared towards providing all information at any time. For many future applications, the integration of embedded systems from multiple smart spaces is a primary key to provide a truly seamless user experience. The project PECES has worked during the last two years to offer the technological basis to enable the global cooperation of embedded devices residing in different smart spaces in a context-dependent, secure, and trustworthy manner. The main output of this paper relies on the set of tools developed to create PECES based applications in an easy and understandable way for developers.
Image spam has become a new obfuscating method to bypass conventional text based spam *** this paper,a new kind of image spam filtering method is proposed based on the characteristics of the spam being sent repeatedly...
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Image spam has become a new obfuscating method to bypass conventional text based spam *** this paper,a new kind of image spam filtering method is proposed based on the characteristics of the spam being sent repeatedly and their contents being highly resemble to each *** extract sub-block color histogram and ORB as image feature and run a scalable vocabulary tree to detect image *** system is tested on Mark Dredze's dataset and our own Chinese image spam *** results demonstrate that the proposed method can achieve good accuracy while having a less than 0.02% false positive rate.
In this paper,we introduce a new dataset for scene classification based on camera *** classify the most common scenes that have been researched much *** dataset consists of 12 scene *** category contains 500 to 2000 *...
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In this paper,we introduce a new dataset for scene classification based on camera *** classify the most common scenes that have been researched much *** dataset consists of 12 scene *** category contains 500 to 2000 *** images are high resolution such as 2000x2000 *** images in the dataset are original,namely,each image brings with a camera metadata(EXIF).Various types,metadata cues of photos,strict definitions among scenes are characteristic factors that make this dataset a very challenging testbed for photo *** supply the scene photos together with scene labeling,as well as the EXIF information extraction via methodology,and we apply the dataset into sementic scene classification up to now.
In this paper we propose a denoising method under the powerful framework-non local means (NL-means), in conjunction with regression analysis. First, the conception and development of NL-means is proposed. Second, an i...
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ISBN:
(纸本)9781612848396
In this paper we propose a denoising method under the powerful framework-non local means (NL-means), in conjunction with regression analysis. First, the conception and development of NL-means is proposed. Second, an image important area map (HAM) is calculated for the protection of edge and structure regions during denoising. Therefore, improved version of NL-means is carried out, which uses a novel patch similarity calculation rule benefited from HAM. This algorithm can better extract and smooth the important information in the noisy image and finally, experimental results validate the proposed algorithm.
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