The advantage of magnetic resonance imaging (MRI)-guided surgery, in which MR images taken during surgery are used to guide the surgery, has been recognized recently. However, there is a problem, due to long imaging t...
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The research field of Intelligent Service Robots, which has become more and more popular over the last years, covers a wide range of applications from climbing machines for cleaning large storefronts to robotic assist...
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ISBN:
(纸本)1595933751
The research field of Intelligent Service Robots, which has become more and more popular over the last years, covers a wide range of applications from climbing machines for cleaning large storefronts to robotic assistance for disabled or elderly people. When developing service robot software, it is a challenging problem to design the robot architecture by carefully considering user needs and requirements, implement robot application components based on the architecture, and integrate these components in a systematic and comprehensive way for maintainability and reusability. Furthermore, it becomes more difficult to communicate among development teams and with others when many engineers from different teams participate in developing the service robot. To solve these problems, we applied the COMET design method, which uses the industry-standard UML notation, to developing the software of an intelligent service robot for the elderly, called T-Rot, under development at Center for Intelligent Robotics (CIR). In this paper, we discuss our experiences with the project in which we successfully addressed these problems and developed the autonomous navigation system of the robot with the COMET/UML method. Copyright 2006 ACM.
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.
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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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 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.
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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In this paper the authors propose a structural method for a genetic algorithm (GA) for the optimization problem of cable routing in which cables have to be laid optimally. When there are no limits on the layout routes...
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Artificial neural networks can be trained to predict outcomes in a neonatal intensive care unit (NICU). This paper expands on past research and shows that neural networks trained by the maximum likelihood estimation c...
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Artificial neural networks can be trained to predict outcomes in a neonatal intensive care unit (NICU). This paper expands on past research and shows that neural networks trained by the maximum likelihood estimation criterion will approximate the `a posteriori probability' of NICU mortality. A gradient ascent method for the weight update of three-layer feed-forward neural networks was derived. The neural networks were trained on NICU data and the results were evaluated by performance measurement techniques, such as the Receiver Operating Characteristic Curve and the Hosmer-Lemeshow test. The resulting models applied as mortality prognostic screening tools are presented
Many teachers and researchers put their teaching materials on the Internet for students to read in recent years. This sort of teaching materials could be seen as static because students can only follow the learning se...
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Many teachers and researchers put their teaching materials on the Internet for students to read in recent years. This sort of teaching materials could be seen as static because students can only follow the learning sequence made by teachers in advance. The goal of this paper is trying to develop a tool, K-Navi toolbar, to parse and rebuild teaching materials' hypermedia structures according to the concept relations and extracted rules automatically. K-Navi toolbar first uses the formal concept analysis (FCA) to parse the whole set of teaching materials and gets the embedded concept relations between each of two instructional documents; then uses the association rule methodology (ARM) to extract the rules from the concept lattices; and, finally rebuilds the hypermedia structure of the instructional document read by the student automatically. K-Navi toolbar adds related concept hyperlinks (or says links to other knowledge pieces) into the specific position on the instructional hypermedia document automatically when a student asks the document resource. A student then will be able to dig related knowledge pieces via these relevant hyperlinks.
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