The technique proposed in this paper is an XOR encryption operation to embed large payload including multimedia information in visual cryptographic color image. The major advantages of the technique are to provide a p...
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ISBN:
(纸本)1891706241
The technique proposed in this paper is an XOR encryption operation to embed large payload including multimedia information in visual cryptographic color image. The major advantages of the technique are to provide a perfect reconstruction of the image and the increased payload including biometrics, voice, text and images. The algorithm was implemented on large database where it shows its effectiveness when compared to basic watermarking techniques.
Active modeling is required in learning settings to cope with the dynamic evolution of the knowledge, since learners competences evolves over time as they participate in the course activities. Moreover, one of the mai...
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ISBN:
(纸本)9781424444823
Active modeling is required in learning settings to cope with the dynamic evolution of the knowledge, since learners competences evolves over time as they participate in the course activities. Moreover, one of the main issues in a competence based eLearning process is to deliver personalized instructional designs adjusted to both 1) intrinsic characteristics of users (i.e. learning styles) and 2) the desired and achieved competences in the learning process (i.e. specific and generic competences). This delivery includes the adaptation of the content and the activities in a learning scenario based on a dynamic user model that evolves according to user interactions. In this paper, an approach to support Conditional Plans Generation (IMS Learning Designs) in the context of a virtual learning environment is presented The process is supported by a pervasive usage of standards and specifications (IMS family of specifications) in conjunction with an integral user modeling.
Dynamic programming provides a method to solve hybrid optimal control problems. This contribution extends existing numerical methods originally developed for purely continuous systems, to a class of hybrid systems wit...
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Dynamic programming provides a method to solve hybrid optimal control problems. This contribution extends existing numerical methods originally developed for purely continuous systems, to a class of hybrid systems with autonomous as well as controlled switching behavior. The hybrid dynamics is approximated by a locally consistent discrete Markov decision process. The original optimal control problem is then reformulated for the Markov decision process and solved by standard dynamic programming methods. The convergence of the discrete approximation to the original problem is ensured. The viability of the numerical scheme is illustrated by a two gear transmission system used previously in literature.
In this paper, we propose a new patch-based texture synthesis method. The core of the proposed method consists of two main components: (1) a feature-weighted similarity measurement to search for the best match and (2)...
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In this paper, we propose a new patch-based texture synthesis method. The core of the proposed method consists of two main components: (1) a feature-weighted similarity measurement to search for the best match and (2) a dynamically prioritized-based pixel re-synthesis to reduce discontinuity at the boundary of adjacent patches. Examples and experimental comparisons with other previous methods are demonstrated to verify the usefulness of our proposed method. In addition, we enhance the proposed method with a view warping technique to better synthesize non-frontal-parallel textures (NFPTs) that can not be synthesized well by traditional texture synthesis methods.
The most scientific papers dealing with handwriting recognition systems make statements relating to recognition performance based on a forced-recognition rate. This rate describes the ratio between the number of the c...
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ISBN:
(纸本)9781601321190
The most scientific papers dealing with handwriting recognition systems make statements relating to recognition performance based on a forced-recognition rate. This rate describes the ratio between the number of the correct recognized samples and the number of all possible samples. This paper proposes a new technique to improve the previous research work in order to have a better result. As part of the preprocessing phase the image file is checked for skewing. If the image is skewed, it is corrected by a simple rotation technique in the appropriate direction. Character fragmentation process is done based on the existing technique. The improvement of feature extraction process is made by detecting details of glyph and used as an input for the classification process of ANN (Artificial Neural Network) to develop a full OCR system. Result indicated that some versions, even upon first using them, were at least as good as last methods of recognition.
The worm experimental environment is a pivotal foundation for the worm research. In this paper, with a comprehensive analysis of existing technologies for building worm experimental environment, including analytical m...
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A comparative study on photovoltaic characterizations in crisscrossed-silicon-nanorod (CSNR) solar cells with an n-type-CSNR/intrinsic- CSNR/polycrystalline-silicon/p-type-Si(100)-stacked structure was demonstrated by...
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In the research of Emergency Preparedness (EP), knowledge representation and storage of the EP is one of the most important tasks. However, most of the existing plans are ill-structured and lacked compatibility, which...
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Event log is the important starting point of any process analysis technique. Existent business process analysis techniques are applied mainly to manual or simulated logs, considering mainly information about control p...
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In this paper we study fault diagnosis of systems modeled by untimed continuous Petri *** particular,we generalize our previous works in this framework where we solved this problem only for special classes of continuo...
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In this paper we study fault diagnosis of systems modeled by untimed continuous Petri *** particular,we generalize our previous works in this framework where we solved this problem only for special classes of continuous Petri nets,namely state machines and backward conflict free *** show that the price to pay for this generalization is that only three diagnosis states can be defined,rather than ***,this is not a significant restriction because it is in accordance with all the literature on finite state automata.
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