A hybrid of support vector machines and the smoothly clipped absolute deviation (SVM-SCAD) is a penalized classifier that has been used by researchers especially in bioinformatics for defining significant genes in mic...
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With the advance of semiconductor, multi-core architecture is inevitable in today's embedded system design. Nested loops are usually the most critical part in multimedia and high performance DSP (Digital Signal Pr...
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作者：
Shuo PangDepartment of Electrical
Computer Software and Systems Engineering Embrey-Riddle Aeronautical University Daytona Beach FL USA
Hydrothermal vent systems are the plumbing systems of the deep ocean, spewing heat and minerals from Earth's interior while supporting unique ecosystems and offering clues about the geological processes that regul...
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ISBN:
(纸本)9781424443321
Hydrothermal vent systems are the plumbing systems of the deep ocean, spewing heat and minerals from Earth's interior while supporting unique ecosystems and offering clues about the geological processes that regulate the formation of oceanic crust. Locating and mapping the distribution of hydrothermal plumes near the venting sources assists the geochemists optimize their efforts to study the evolution of dissolved and particulate components of vent emissions by helping them determine the best locations and depths to take water samples. This paper presents an effective hydrothermal plume mapping and search algorithms for using on AUVs to locate the hydrothermal venting source location. AUVs use hydrothermal chemical signature as a guide to navigate and track in the unknown environments. The mapping algorithms are based on Bayesian inference theory. The planning algorithms are based on artificial potential field methods. This methodology results in algorithms for predicting likelihood of vent location versus position. The AUV would then optimize a desired trajectory to navigate in the hydrothermal plume and locate the hydrothermal vent.
Model-based diagnosis for industrial applications have to be efficient, and deal with modeling approximations and measurement noise. This paper presents a distributed diagnosis scheme, based on Dynamic Bayesian Networ...
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Model-based diagnosis for industrial applications have to be efficient, and deal with modeling approximations and measurement noise. This paper presents a distributed diagnosis scheme, based on Dynamic Bayesian Networks (DBNs) that generates globally correct diagnosis results through local analysis, by only communicating a minimal number of measurements among diagnosers. We demonstrate experimentally that our distributed diagnosis scheme is computationally more efficient than its centralized counterpart, and it does not compromise the accuracy of the diagnosis results.
One fundamental issue in the sensor networks is the coverage problem, which we would like to determine whether a region of interest is sufficiently covered by a given set of sensors. It can be considered as a measure ...
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One fundamental issue in the sensor networks is the coverage problem, which we would like to determine whether a region of interest is sufficiently covered by a given set of sensors. It can be considered as a measure of the quality of service (QoS) in the sensor networks. There are several efforts that design efficient algorithms to compute coverage; however, they have not considered the presence of obstacles in the corresponding region. In this paper, we present a new algorithm to compute the area covered by a set of sensors distributed in a region containing transparent obstacles with arbitrary shapes. The sensor network can be homogeneous or heterogeneous.
Artificial intelligence (AI) techniques may be applied to a variety of real-world problems. At Embry-Riddle Aeronautical University, CS 455: Artificial Intelligence was offered during the Spring 2008 semester in which...
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ISBN:
(纸本)9781424458547
Artificial intelligence (AI) techniques may be applied to a variety of real-world problems. At Embry-Riddle Aeronautical University, CS 455: Artificial Intelligence was offered during the Spring 2008 semester in which students from all disciplines were invited to attend. Robot kits are incorporated into the course as a pedagogical tool to motivate and encourage learning by applying theoretically abstract algorithms to concrete real-world problems. This paper discusses the approach to incorporating robotics in the AI classroom. A set of commercial off-the-shelf robot kits are discussed and analyzed with respect to the students' work during the semester. Finally, recommendations for improvements on teaching AI to a multi-disciplinary audience with the help of robot kits will be discussed.
Professional Issues in softwareengineering (PISE) has been taught as part of the computersystems undergraduate degree programme at the University of Limerick using a multi-institutional collaborative pedagogy. PISE ...
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Professional Issues in softwareengineering (PISE) has been taught as part of the computersystems undergraduate degree programme at the University of Limerick using a multi-institutional collaborative pedagogy. PISE considers the ethical, legal and social consequences of the design, implementation and use of computer and information systems. Students from UL collaborated with students from other universities in USA, England and Malta, working together in geographically distributed virtual learning groups to consider ethical issues in softwareengineering. This paper reflects the longitudinal evaluation of teaching and assessment methods that have been developed over 20 years.
Internet Data Centers (IDC) emerge as a major network service platform to converge Internet related services and applications to one location, managing servers, networks, together with valuable and sensitive data of m...
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The aim of our research is to find a suitable RE process to be applied in our organisation for the development of software projects. We identified the actor and their roles through the relation practice while implemen...
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The aim of our research is to find a suitable RE process to be applied in our organisation for the development of software projects. We identified the actor and their roles through the relation practice while implementing the RE process. In order to redefine the RE process, good analysis skill is needed besides having a good understanding of the RE process itself. We believe that our experience can be understood and used by other reseachers.
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