We present an evolutionary algorithm for the inference of context-free grammars from positive and negative examples. The algorithm is based on genetic programming and uses a local optimization operator that is capable...
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We present an evolutionary algorithm for the inference of context-free grammars from positive and negative examples. The algorithm is based on genetic programming and uses a local optimization operator that is capable of improving the learning task. Ordinary genetic operators are modified so as to bias the search. The system was evaluated using Tomitas language examples and results were compared with another similar approach. Results show that the proposed approach is promising and more robust than the other one.
This paper discusses the challenges associated with privacy in health care in the electronic information age based on the Health Insurance Portability and Accountability Act (HIPAA) and the Security Rules. We examine ...
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This paper describes a research program with an objective to develop and implement an interactive virtual reality (VR) model of the aircraft inspection maintenance process for asynchronous delivery. Existing approache...
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The article provides information on a workshop on the development of imaging systems for cancer prevention and preemption convened by the U.S. National Cancer Institute (NCI) Cancer Imaging program held in Gaithersbur...
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The article provides information on a workshop on the development of imaging systems for cancer prevention and preemption convened by the U.S. National Cancer Institute (NCI) Cancer Imaging program held in Gaithersburg, Maryland. Doctor Katherine Ferrara of the University of California discussed the function of ultrasound in breast tumor imaging. Ways to close the gap between development and application of imaging approaches were tackled in a roundtable discussion on cervix and skin cancer.
Despite many years of research in the area of human computer interaction, there are still remarkably few computing platforms in existence that permit remote collaboration over various software applications in an inten...
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Despite many years of research in the area of human computer interaction, there are still remarkably few computing platforms in existence that permit remote collaboration over various software applications in an intense manner. Visualisation and interaction on a collaborative access table (ViCAT) is a new project whose aim is to allow intense collaboration between multiple users at multiple remotely located sites, as if the users were gathered around a physical table. This paper introduces the ViCAT design philosophy and how it addresses the mixed presence groupware concept, and then describes the relationship between the ViCAT project and current horizontal interactive human computer systems research.
Teachers always want to know how much their students had learned in classes. The most convenient way to discover learning status is `test'. Each item on a test sheet always contains one or more concepts used to ch...
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Teachers always want to know how much their students had learned in classes. The most convenient way to discover learning status is `test'. Each item on a test sheet always contains one or more concepts used to check whether a student really understands or not. Teachers can also find a student's misconceptions out via the concept relations stored in a test sheet. In order to make the diagnosis process simple, teachers always take concept maps as their test development and learning diagnosis tools. This paper implements a SCORM/IMS compliance online test and diagnosis system base on concept maps. In the system, it has more than 5000 members and generates real-time learning report for misconception diagnosis over 500 times monthly. The members are the third-year student at junior high school and come from different counties and cities all over the country. Currently, the system covers 11 courses such as Chinese, English, Physics, History, and Earth science. It's obviously the system is useful for both teachers and students
The neural networks are successfully applied to many applications in different domains. However, due to the results made by the neural networks are difficult to explain the decision process of neural networks is suppo...
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Fully polarimetric radar systems are capable of simultaneously transmitting and receiving in two orthogonal polarizations. Instantaneous radar polarimetry exploits both polarization modes of a dually-polarized radar t...
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Fully polarimetric radar systems are capable of simultaneously transmitting and receiving in two orthogonal polarizations. Instantaneous radar polarimetry exploits both polarization modes of a dually-polarized radar transmitter and receiver on a pulse by pulse basis, and can improve the radar detection performance and suppress range sidelobes . In this paper, we extend the use of instantaneous radar polarimetry for radar systems with multiple dually-polarized transmit and receive antennas. Alamouti signal processing is used to coordinate transmission of Golay pairs of phase codes waveforms across polarizations and multiple antennas. The integration of multi- antenna signal processing with instantaneous radar polarimetry can further improve the detection performance, at a computational cost comparable to single channel matched filtering.
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