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A Survey on Trajectory Data Warehouse
2019
Spatial Information Research
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We propose a framework that aims to provide the requirements for building the TDW. Furthermore, we discuss different applications using the TDW and how these applications utilize the TDW. ...
Trajectory data can be mainly handled either with Moving Object Databases (MOD) or Trajectory Data Warehouse (TDW). ...
In the same manner, the Trajectory Data Mart (TDM) can be used to store information for specific use. It builds from the Trajectory Data Cube. ...
doi:10.1007/s41324-019-00269-x
fatcat:imgs6t3odjgdjmiop7t3jlva7a
A Framework for Hand Gesture Recognition Based on Accelerometer and EMG Sensors
2011
IEEE transactions on systems, man and cybernetics. Part A. Systems and humans
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Additionally, the recognition of 40 CSL sentences is implemented to evaluate our framework for continuous SLR. ...
In our framework, the start and end points of meaningful gesture segments are detected automatically by the intensity of the EMG signals. ...
ACKNOWLEDGMENT The authors are grateful to all the volunteers for their participation in this study. We would like to express our special appreciation to Dr. Z. Zhao, W. Wang, and C. ...
doi:10.1109/tsmca.2011.2116004
fatcat:75htoj7h5nfe5n2ahktmj4sara
A human-in-the-loop haptic interaction with subjective evaluation
2022
Frontiers in Virtual Reality
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To date, one of the challenges in Human-Computer Interaction (HCI) is fully immersive multisensory remote physical interaction technologies. ...
Based on the typical application scenarios of haptic operation, the paper constructs a haptic-visual interaction framework and analyzes the QoE influencing factors. ...
The operator's attention is an important state for an operator to perform stable operations. ...
doi:10.3389/frvir.2022.949324
fatcat:krtj2a4jt5bexetw6ct5va7t24
Online Long-Term Trajectory Prediction Based on Mined Route Patterns
[chapter]
2020
Lecture Notes in Computer Science
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In this paper, we present a Big data framework for the prediction of streaming trajectory data by exploiting mined patterns of trajectories, allowing accurate long-term predictions with low latency. ...
In particular, to meet this goal we follow a two-step methodology. First, we efficiently identify the hidden mobility patterns in an offline manner. ...
an end-to-end big data prediction solution. ...
doi:10.1007/978-3-030-38081-6_4
fatcat:6n5heoumwfguln3chpcp35uifm
FTK: A Simplicial Spacetime Meshing Framework for Robust and Scalable Feature Tracking
[article]
2021
arXiv
pre-print
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We present the Feature Tracking Kit (FTK), a framework that simplifies, scales, and delivers various feature-tracking algorithms for scientific data. ...
As a software framework, FTK provides end users with VTK/ParaView filters, Python bindings, a command line interface, and programming interfaces for feature-tracking applications. ...
Department of Energy Office of Science and the National Nuclear Security Administration, as part of the Co-design center for Online Data Analysis and Reduction (CODAR) [66] . ...
arXiv:2011.08697v2
fatcat:kgslk5srsfb7paqa4g74mznz4y
Dynamic Visual Reasoning by Learning Differentiable Physics Models from Video and Language
[article]
2021
arXiv
pre-print
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The differentiable physics model, implemented as an impulse-based differentiable rigid-body simulator, performs differentiable physical simulation based on the grounded concepts to infer physical properties ...
VRDP is also highly data-efficient: physical parameters can be optimized from very few videos, and even a single video can be sufficient. ...
For more failure analysis, please refer to our main paper. ...
arXiv:2110.15358v1
fatcat:7u6yxru34jfv7fqa3hjywswgiu
Mobile Edge Assisted Live Streaming System for Omnidirectional Video
2019
Mobile Information Systems
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A prototype system of MELiveOV is implemented to prove its complete end-to-end OV live streaming service. ...
The MELiveOV consists of an omnidirectional video generation module, a streaming module, and a viewpoint prediction module. ...
Students Foundation (CX2019102). is work was also supported by the project "Stereoscopic Coverage Communication Network Verification Platform for China Sea" (PCL2018KP002). ...
doi:10.1155/2019/8487372
fatcat:cgec2h5hkbdcdieb22vdcqsfp4
Distances evolution analysis for online and off-line human object interaction recognition
2018
Image and Vision Computing
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A shape analysis of trajectories of the inter-joint and object-joints distances is proposed for this end. ...
However designing automatic systems that are robust to significant variability due to object combinations and high complexity of human motions are more challenging in addition to the typical requirements ...
This framework offers the possibility to calculate an intrinsic trajectory means which represent the mean variations in several sequences belonging to the same class to build the feature vector that will ...
doi:10.1016/j.imavis.2017.12.003
fatcat:7zj2c2ifnncqhjcidhv57mlqrq
"Same, Same but Different" A Survey on Duplicate Detection Methods for Situation Awareness
[chapter]
2009
Lecture Notes in Computer Science
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As a prerequisite, based on a motivating case study in the domain of road traffic management, an evaluation framework is suggested, which categorizes the major requirements on duplicate detection methods ...
with regard to situation awareness. ...
The proposed method handles fuzzy information with similarity measures for spatial on-line analytical processing cubes (spatial OLAP-SOLAP), being an extension to OLAP cubes used in data warehouses [44 ...
doi:10.1007/978-3-642-05151-7_22
fatcat:n6z7sjycgjfthbztvzkn5k3qim
A Survey of Spatio-Temporal Big Data Indexing Methods in Distributed Environment
2022
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
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How to construct an effective index for the application requirements of spatio-temporal data in a distributed environment has become one of the hotspots of spatio-temporal big data research. ...
., traffic trajectories [2], social media [3], remote sensing image [4], [5], climate observation [6], and other data containing spatio-temporal information rapidly accumulate, are forming a special kind ...
ACKNOWLEDGMENT The authors would like to thank to X. Du, C. Li, G. Peng, and C. Li, with special thank A. Eldawy, Assistant Professor, with the University of California Riverside. ...
doi:10.1109/jstars.2022.3175657
fatcat:tjklpbkfffasjhwillift47k2i
A Survey on Big Data for Trajectory Analytics
2020
ISPRS International Journal of Geo-Information
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Trajectory data allow the study of the behavior of moving objects, from humans to animals. ...
A Data Warehouse (DW) is one of the premier Big Data analysis and complex query processing infrastructures. Trajectory Data Warehouses (TDW) emerge as a DW dedicated to trajectory data analysis. ...
The MOD module uses the Hermes framework [68] to provide an Object-Relational DBMS (ORDBMS) to trajectory data. The Oracle DBMS is used to build the TDW. ...
doi:10.3390/ijgi9020088
fatcat:bgpfxcx5jngd7cjcj6u4fl4jpi
Application of MML to Motor Skills Acquisition
2006
2006 International Conference on Computational Inteligence for Modelling Control and Automation and International Conference on Intelligent Agents Web Technologies and International Commerce (CIMCA'06)
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The Minimum Message Length (MML) algorithm is used to identify frames of intrinsic segmentations and to acquire a classification basis for unsupervised machine learning. ...
The Minimum Message Length (MML) algorithm is used to identify frames of intrinsic segmentations and to acquire a classification basis for unsupervised machine learning. ...
The data acquired from the MTx sensor units, is necessarily a stream of multivariate data types, and for our purposes these reduce to two different types of data, Euler angles and accelerations. ...
doi:10.1109/cimca.2006.49
dblp:conf/cimca/SunNS06
fatcat:p2rblqepmbctlnrhqx52ti5cau
Concepts for End-to-end Augmented Reality based Human-Robot Interaction Systems
[article]
2019
arXiv
pre-print
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For researchers already using such techniques, the hope is to perhaps introduce some new ideas and to broaden the field of research. ...
Here we present concepts and systems currently being developed at our lab to enable a truly end-to-end application of AR in HRI, from setting up the working environment of the robot, through programming ...
We proceed to present the basic building blocks of an end-to-end system -referencing (II-A); robot cell set-up (II-B); programming (II-C); HRI in a working system (II-D; and imitation robot learning methods ...
arXiv:1910.04494v1
fatcat:koaibpm25vcizc6g7ifzmt2j6m
ProjectionPathExplorer: Exploring Visual Patterns in Projected Decision-Making Paths
[article]
2020
arXiv
pre-print
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Such embedded trajectories have previously been applied to a wide variety of data, but analysis has focused almost exclusively on the self-similarity of single trajectories. ...
In contrast, we describe patterns emerging from drawing many trajectories---for different initial conditions, end states, and solution strategies---in the same embedding space. ...
We used the three.js framework 1 for WebGL rendering of the trajectory plot. ...
arXiv:2001.08372v2
fatcat:yza34eblwrdkfjhp77ukighz5q
Formalized analysis of structural characteristics of large complex systems
2001
IEEE transactions on systems, man and cybernetics. Part A. Systems and humans
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He served as Chair and an IPC member for many international conferences and symposia and as a Guest Editor for a number of journal special issues. ...
Through a distributed and nested structuring of the loops composed of perception cubes and decision spheroids, i.e., perception-decision links, an LCS is represented as a novel block diagram. ...
. • Set up and consummated standard and norm for data and information architecture for data and information all over the enterprise. • To build an enterprise-wide computer network system, and to set up ...
doi:10.1109/3468.983413
fatcat:g5wdfexocbeivn4vrkialjffau
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