A New Approach of Generating Object Reference Frame for Maxillary Dental Arch

2016 ◽  
Vol 74 (9) ◽  
pp. e26-e27
Author(s):  
D.C. Ho ◽  
J. Li ◽  
C.M. Chang ◽  
P. Yuan ◽  
J. Teichgraeber ◽  
...  
Keyword(s):  
Reference Frame ◽  
Dental Arch ◽  
New Approach ◽  
Object Reference

scholarly journals Ventral pathway visual cortex: Representation by parts in a whole object reference frame

2012 ◽  
Vol 12 (9) ◽  
pp. 1382-1382
Author(s):  
C. E. Connor ◽  
A. Pasupathy ◽  
S. L. Brincat ◽  
Y. Yamane ◽  
C.-C. Hung
Keyword(s):  
Visual Cortex ◽  
Reference Frame ◽  
Ventral Pathway ◽  
Object Reference

An Adaptive System for Retrieval and Composition of Learning Objects

2011 ◽  
Vol 2 (4) ◽  
pp. 42-59
Author(s):  
Burasakorn Yoosooka ◽  
Vilas Wuwongse
Keyword(s):  
Adaptive System ◽  
Reference Model ◽  
Learning Objects ◽  
Preliminary Evaluation ◽  
Learner Characteristics ◽  
New Approach ◽  
Automatic Retrieval ◽  
Hypermedia System ◽  
Content Object ◽  
Object Reference

This paper proposes a new approach to automatic retrieval and composition of Learning Objects (LOs) in an Adaptive Educational Hypermedia System (AEHS) using multidimensional learner characteristics to enhance learning effectiveness. The approach focuses on adaptive techniques in four components of AEHS: Learning Paths, LO Retrieval, LO Sequencing, and Examination Difficulty Levels. This approach has been designed to enable the adaptation of rules to become generic. Hence, the application to various domains is possible. The approach dynamically selects, sequences, and composes LOs into an individual learning package based on the use of domain ontology, learner profiles, and LO metadata. The Sharable Content Object Reference Model is employed to represent LO metadata and learning packages in order to support LO sharing. The IMS Learner Information Package Specification is used to represent learner profiles. A preliminary evaluation of the developed system indicates the system’s effectiveness in terms of learners’ satisfaction.

An Adaptive System for Retrieval and Composition of Learning Objects

2013 ◽  
pp. 83-101
Author(s):  
Burasakorn Yoosooka ◽  
Vilas Wuwongse
Keyword(s):  
Reference Model ◽  
Learning Objects ◽  
Domain Ontology ◽  
Preliminary Evaluation ◽  
Learner Characteristics ◽  
New Approach ◽  
Automatic Retrieval ◽  
Hypermedia System ◽  
Content Object ◽  
Object Reference

This paper proposes a new approach to automatic retrieval and composition of Learning Objects (LOs) in an Adaptive Educational Hypermedia System (AEHS) using multidimensional learner characteristics to enhance learning effectiveness. The approach focuses on adaptive techniques in four components of AEHS: Learning Paths, LO Retrieval, LO Sequencing, and Examination Difficulty Levels. This approach has been designed to enable the adaptation of rules to become generic. Hence, the application to various domains is possible. The approach dynamically selects, sequences, and composes LOs into an individual learning package based on the use of domain ontology, learner profiles, and LO metadata. The Sharable Content Object Reference Model is employed to represent LO metadata and learning packages in order to support LO sharing. The IMS Learner Information Package Specification is used to represent learner profiles. A preliminary evaluation of the developed system indicates the system’s effectiveness in terms of learners’ satisfaction.

scholarly journals Realization of time sequential estimation of terrestrial reference frame using square-root information filter and smoother

2020 ◽  
Author(s):  
Toshio Mike Chin ◽  
Claudio Abbondanza ◽  
Richard Gross ◽  
Michael Heflin ◽  
Jay Parker ◽  
...  
Keyword(s):  
Covariance Matrix ◽  
Reference Frame ◽  
Series Representation ◽  
Sequential Estimation ◽  
Terrestrial Reference Frame ◽  
Square Root ◽  
Numerical Accuracy ◽  
New Approach ◽  
Information Filter ◽  
New Algorithms

<p>The JTRF2014 realization of terrestrial reference frame has adopted a weekly time series representation that can track dominant non-linear station motions including periodic and random variations.  The realization is based on the Kalman filter and smoother algorithms whose time sequential nature would also be suitable for continuous updating of an existing frame as soon as new geodetic data become available.</p><p>As a part of preparation for the next reference frame realization, we have been examining alternative filter and smoother algorithms based on the square-root information filter (SRIF), known generally for improved numerical accuracy of the covariance matrix represented by a square-root matrix.</p><p>The new algorithms offer a number of other advantages over the conventional filter/smoother algorithms used in JTRF2014.  Namely, the new approach allows us to (1) avoid using some fictitious covariance matrix to initialize the filter, (2) avoid the random-walk constraints for the Helmert parameter sequences, and (3) handle cross-temporal EOP data such as the week-long segments reported by the SLR and DORIS networks.  We have also been enhancing the stochastic models of the station position motion to be used by the filter and smoother, including models for non-tidal deformation.</p>

scholarly journals A New Approach to the Construction of a Compiled Catalogue of Positions of Extragalactic Radio Sources

1990 ◽  
Vol 141 ◽  
pp. 295-296 ◽  
Author(s):  
Ya.S. Yatskiv ◽  
A.N. Kuryanova
Keyword(s):  
Reference Frame ◽  
Radio Sources ◽  
New Approach ◽  
Extragalactic Radio Sources ◽  
Numerical Example

An attempt of the realisation of the radio reference frame was undertaken. For this purpose a new approach to the construction of a compiled catalogue from observation catalogues of extragalactic radio sources was used. As a numerical example a compilation catalogue of primary radio sources based on the three individual catalogues (GSFC, JPL, and NGS) was constructed. Comparison of this catalogue with recent compiled catalogues led to the conclusion that their r.m.s. differences were about 1 mas.

scholarly journals Attitude Determination Algorithms through Accelerometers, GNSS Sensors, and Gravity Vector Estimator

2018 ◽  
Vol 2018 ◽  
pp. 1-14 ◽  
Author(s):  
Raúl de Celis ◽  
Luis Cadarso
Keyword(s):  
Reference Frame ◽  
Velocity Vector ◽  
Reference Frames ◽  
Attitude Determination ◽  
The Body ◽  
Gravity Vector ◽  
New Approach ◽  
Spacecraft Navigation ◽  
Body Reference ◽  
Ballistic Projectiles

Aircraft and spacecraft navigation precision is dependent on the measurement system for position and attitude determination. Rotation of an aircraft can be determined measuring two vectors in two different reference systems. Velocity vector can be determined in the inertial reference frame from a GNSS-based sensor and by integrating the acceleration measurements in the body reference frame. Estimating gravity vector in both reference frames, and combining with velocity vector, determines rotation of the body. A new approach for gravity vector estimations is presented and employed in an attitude determination algorithm. Nonlinear simulations demonstrate that using directly the positioning and velocity outputs of GNSS sensors and strap-down accelerometers, aircraft attitude determination is precise, especially in ballistic projectiles, to substitute precise attitude determination devices, usually expensive and forced to bear high solicitations as for instance G forces.

Relativistic coordinates’ transformations of accelerating reference frames. A new approach

2021 ◽  
Vol 34 (2) ◽  
pp. 174-177
Author(s):  
J. Deligiannis
Keyword(s):  
Reference Frame ◽  
Reference Frames ◽  
Twin Paradox ◽  
Constant Acceleration ◽  
New Approach

In this paper, Lorentz-type coordinates’ transformations are proposed to connect the coordinates of an accelerating reference frame with the coordinates of a fixed one. Next, these transformations are applied to accelerating frames of constant acceleration. Finally, the Lorentz-type transformations are applied to the twin paradox, in an attempt to describe how the acceleration affects this phenomenon.

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