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A kinematic view of loop closure

Journal of Computational Chemistry, 2004
AbstractWe consider the problem of loop closure, i.e., of finding the ensemble of possible backbone structures of a chain segment of a protein molecule that is geometrically consistent with preceding and following parts of the chain whose structures are given.
Evangelos A Coutsias, Chaok Seok
exaly   +3 more sources

Loop closure detection using CNN words

Intelligent Service Robotics, 2019
Loop closure detection (LCD) is crucial for the simultaneous localization and mapping system of an autonomous robot. Image features from a convolution neural network (CNN) have been widely used for LCD in recent years. Instead of directly using the feature vectors to compute the image similarity, we propose a novel and easy-to-implement method that ...
Qiang Liu, Fuhai Duan
openaire   +1 more source

Efficient trajectory bending with applications to loop closure

2010 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2010
In robotic applications the absolute pose is often obtained as the integral of successive relative rigid-body motions. As each relative rigid-body motion is typically the product of statistical inference, the integrated absolute pose will exhibit error build-up and the estimated trajectory will differ from the true trajectory undertaken by the system ...
Dubbelman, G., Esteban, I., Schutte, K.
openaire   +4 more sources

Loop Closure and Intersubunit Communication in Tryptophan Synthase,

Biochemistry, 1998
Crystal structures of wild-type tryptophan synthase alpha2beta2 complexes from Salmonella typhimurium were determined to investigate the mechanism of allosteric activation of the alpha-reaction by the aminoacrylate intermediate formed at the beta-active site.
Schneider, T.   +5 more
openaire   +3 more sources

Loop-closure of the visual-cortical response

Proceedings of the IEEE 1988 National Aerospace and Electronics Conference, 2003
Results of a study designed to test the effectiveness of using feedback to consciously connect humans to their evoked response and thereby 'close the loop' around the brain are presented. A technique to achieve loop closure using a lock-in amplifier approach is presented.
A.M. Junker   +3 more
openaire   +1 more source

Analysis of phosphatase 1B WPD loop closure

2010 5th International Symposium on Health Informatics and Bioinformatics, 2010
Protein tyrosine phosphatase 1B (PTP1B) is a negative regulator of insulin and leptin signaling, and is therefore a major molecular target for the treatment of type II diabetes and obesity. WPD loop is a key element in the mechanism of PTP1B catalysis.
Burcu Ozkaral   +3 more
openaire   +1 more source

Loop Closure

2021
Xiang Gao, Tao Zhang
openaire   +2 more sources

RNA conformational sampling. I. Single‐nucleotide loop closure

Journal of Computational Chemistry, 2007
AbstractWe consider the loop‐closure problem for nucleic acids and describe an efficient numerical algorithm for closing single‐nucleotide loops in nucleic acids. Using six new internal coordinates to represent the nucleotide conformation, which we call the R‐representation, the original closure problem with six free torsion angles in each nucleotide ...
openaire   +2 more sources

In-hand scanning with online loop closure

2009 IEEE 12th International Conference on Computer Vision Workshops, ICCV Workshops, 2009
We present a complete 3D in-hand scanning system that allows users to scan objects by simply turning them freely in front of a real-time 3D range scanner. The 3D object model is reconstructed online as a point cloud by registering and integrating the incoming 3D patches with the online 3D model. The accumulation of registration errors leads to the well-
Thibaut Weise   +3 more
openaire   +1 more source

An Improved Loop Closure Detection for RatSLAM

2019 5th International Conference on Control, Automation and Robotics (ICCAR), 2019
RatSLAM is a brain-inspired simultaneous localization and mapping(SLAM) system used to construct experience maps for environments, requiring odometry data and visual scenes in the path traveled. But it does not perform well in complex indoor surroundings due to the rough visual processing approach.
Tong Gu, Rui Yan
openaire   +1 more source

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