970 resultados para Kalman filtering G


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Background: ‘Birth Satisfaction’ is a term that encompasses a woman’s evaluation of her birth experience. The term includes factors such as her appraisal of the quality of care she received, a personal assessment of how she coped, and her reconstructions of what happened on that particular day. Her accounts may be accurate or skewed, yet correspond with her reality of how events unfolded. Objective: To evaluate properties of an instrument designed to measure birth satisfaction in a Greek population of postnatal women. Study design: We assessed factor structure, internal consistency, divergent validity and known-groups discriminant validity of the 30-item Greek Birth Satisfaction Scale – Long Form (30-item G-BSS-LF) and its revised version the 10-item Greek-BSS-Revised (10-item-G-BSS-R), using survey data collected in Athens. Participants: A convenience sample of healthy Greek postnatal women (n = 162) aged 22–46 years who had delivered between 34 and 42 weeks’ gestation. Results: The 30-item-G-BSS-LF performed poorly in terms of factor structure. The short-form 10-item-G-BSS-R performed well in terms of measurement replication of the English equivalent version as a multidimensional instrument. The short-form 10-item-G-BSS-R comprises three subscales which measure distinct but correlated domains of: (1) quality of care provision (4 items), (2) women’s personal attributes (2 items), and (3) stress experienced during labour (4 items). Key conclusions: The 10-item-G-BSS-R is a valid and reliable multidimensional psychometric instrument for measuring birth satisfaction in Greek postnatal women.

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Williams, Howard, G.W.F.Hegel (1770-1831): Cyfundrefn, Ysbryd a Hanes (University of Wales Press, 2005), pp.30-48

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Gough, John; Belavkin, V.P.; Smolianov, O.G., (2005) 'Hamilton?Jacobi?Bellman equations for quantum optimal feedback control', Journal of Optics B: Quantum and Semiclassical Optics 7 pp.S237-S244 RAE2008

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Autorzy artykułu wskazują na poszczególne słabe punkty, czy też wady integracji europejskiej, rozważając jednocześnie przyszłą wizję Europy, jej pozycję w międzynarodowych i globalnych stosunkach oraz koncepcje budowy wspólnych struktur bezpieczeństwa. Artykułu oparty jest na założeniu, że Europa potrzebuje powtórnej, otwartej analizy jej problemów – symptomów przeobrażeń XXI wieku.

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Wydział Biologii: Instytut Biologii Molekularnej i Biotechnologii

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http://www.archive.org/details/amodernpioneerin00grifuoft

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http://www.archive.org/details/missionspacific00eellrich

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http://www.archive.org/details/johninnocent00canduoft

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http://www.archive.org/details/kabirandthekabir020544mbp

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This collection primarily contains correspondence from Wright’s years as president of ASOR. Material dates as far back as 1957, and proceed into the early 1970’s. Some of Wright’s more notable correspondents include William F. Albright, A. Henry Detweiler, Paul W. Lapp, William Reed, and Dean Seiler. Subject-specific correspondence includes records of expenditures, budget planning, corporate memberships, and the Jerusalem School.

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A mechanism is proposed that integrates low-level (image processing), mid-level (recursive 3D trajectory estimation), and high-level (action recognition) processes. It is assumed that the system observes multiple moving objects via a single, uncalibrated video camera. A novel extended Kalman filter formulation is used in estimating the relative 3D motion trajectories up to a scale factor. The recursive estimation process provides a prediction and error measure that is exploited in higher-level stages of action recognition. Conversely, higher-level mechanisms provide feedback that allows the system to reliably segment and maintain the tracking of moving objects before, during, and after occlusion. The 3D trajectory, occlusion, and segmentation information are utilized in extracting stabilized views of the moving object. Trajectory-guided recognition (TGR) is proposed as a new and efficient method for adaptive classification of action. The TGR approach is demonstrated using "motion history images" that are then recognized via a mixture of Gaussian classifier. The system was tested in recognizing various dynamic human outdoor activities; e.g., running, walking, roller blading, and cycling. Experiments with synthetic data sets are used to evaluate stability of the trajectory estimator with respect to noise.