Spatio-Temporal Modeling on Village Land Feature Change

2012 ◽  
Vol 204-208 ◽  
pp. 2721-2725
Author(s):  
Hua Ji Zhu ◽  
Hua Rui Wu
Keyword(s):  
Real World ◽  
Temporal Change ◽  
End Users ◽  
Temporal Modeling ◽  
The Real ◽  
Change Type ◽  
Feature Change ◽  
Spatio Temporal ◽  
The Village ◽  
Land Changes

Village land continually changes in the real world. In order to keep the data up-to-date, data producers need update the data frequently. When the village land data are updated, the update information must be dispensed to the end-users to keep their client-databases current. In the real world, village land changes in many forms. Identifying the change type of village land (i.e. captures the semantics of change) and representing them in the data world can help end-users understand the change commonly and be convenient for end-users to integrate these change information into their databases. This work focuses on the model of the spatio-temporal change. A three-tuple model CAR for representing the spatio-temporal change is proposed based on the village land feature set before change and the village land feature set after change, change type and rules. In this model, the C denotes the change type. A denotes the attribute set; R denotes the judging rules of change type. The rule is described by the IF－THEN expressions. By the operations between R and A, the C is distinguished. This model overcomes the limitations of current methods. And more, the rules in this model can be easy realized in computer program.

scholarly journals Anonymization and Publication of Trajectories by Sensitive Halting points Generalization

2019 ◽  
Vol 8 (10) ◽  
pp. 581-587
Keyword(s):  
Mobile Devices ◽  
Real World ◽  
Mobility Management ◽  
Spherical Shape ◽  
Information Loss ◽  
Spatial Distance ◽  
The Real ◽  
The Earth ◽  
Spatio Temporal ◽  
Temporal Trajectory

The profuse use of wireless and GPS enriched mobile devices has left spatio-temporal trajectory traces in an enormous scale. The researchers and mobility management people are keen to extract and make use of the published mobility traces for their own developmental activities. The spatio-temporal traces publication is definitely a major privacy encroachment for the individuals/objects, especially for VVIPs. The publication of trajectory details urges us for a privacy preserved anonymization approach. The observation was the trajectory consists of halts and passes and anonymizing the sensitive halting points is adequate enough for the trajectory anonymization. This paper suggests a different approach, which derives the major halting points from the trajectories and anonymizes them by using the personalized generalization technique. The prototype referred to here safeguards the major sensitive halting points in an area zone, the size of which is specified by the user. This work uses Haversine measure for the spatial distance instead of Euclidean measure, since the former takes into account the spherical shape of the earth and gives an exact distance from sensitive to non-sensitive points. For the evaluation, the model mentioned here utilizes the real world dataset and the outcome proves that, the published trajectory has lesser information loss and greater privacy than the anonymity methods that exists now and it can be used safely for mobility related applications and developments.

scholarly journals Overground Walking in a Fully Immersive Virtual Reality: A Comprehensive Study on the Effects on Full-Body Walking Biomechanics

2021 ◽  
Vol 9 ◽  
Author(s):  
Brian Horsak ◽  
Mark Simonlehner ◽  
Lucas Schöffer ◽  
Bernhard Dumphart ◽  
Arian Jalaeefar ◽  
...  
Keyword(s):  
Virtual Reality ◽  
Real World ◽  
Gait Training ◽  
Gait Rehabilitation ◽  
Overground Walking ◽  
Convenience Sample ◽  
Single Measure ◽  
The Real ◽  
Temporal Parameters ◽  
Spatio Temporal

Virtual reality (VR) is an emerging technology offering tremendous opportunities to aid gait rehabilitation. To this date, real walking with users immersed in virtual environments with head-mounted displays (HMDs) is either possible with treadmills or room-scale (overground) VR setups. Especially for the latter, there is a growing interest in applications for interactive gait training as they could allow for more self-paced and natural walking. This study investigated if walking in an overground VR environment has relevant effects on 3D gait biomechanics. A convenience sample of 21 healthy individuals underwent standard 3D gait analysis during four randomly assigned walking conditions: the real laboratory (RLab), a virtual laboratory resembling the real world (VRLab), a small version of the VRlab (VRLab−), and a version which is twice as long as the VRlab (VRLab+). To immerse the participants in the virtual environment we used a VR-HMD, which was operated wireless and calibrated in a way that the virtual labs would match the real-world. Walking speed and a single measure of gait kinematic variability (GaitSD) served as primary outcomes next to standard spatio-temporal parameters, their coefficients of variant (CV%), kinematics, and kinetics. Briefly described, participants demonstrated a slower walking pattern (−0.09 ± 0.06 m/s) and small accompanying kinematic and kinetic changes. Participants also showed a markedly increased gait variability in lower extremity gait kinematics and spatio-temporal parameters. No differences were found between walking in VRLab+ vs. VRLab−. Most of the kinematic and kinetic differences were too small to be regarded as relevant, but increased kinematic variability (+57%) along with increased percent double support time (+4%), and increased step width variability (+38%) indicate gait adaptions toward a more conservative or cautious gait due to instability induced by the VR environment. We suggest considering these effects in the design of VR-based overground training devices. Our study lays the foundation for upcoming developments in the field of VR-assisted gait rehabilitation as it describes how VR in overground walking scenarios impacts our gait pattern. This information is of high relevance when one wants to develop purposeful rehabilitation tools.

scholarly journals SPATIO-TEMPORAL CHANGE MODELING OF LULC: A SEMANTIC KRIGING APPROACH

2015 ◽  
Vol II-4/W2 ◽  
pp. 177-184 ◽  
Author(s):  
S. Bhattacharjee ◽  
S. K. Ghosh
Keyword(s):  
Temporal Change ◽  
Semantic Knowledge ◽  
Temporal Modeling ◽  
Temporal Prediction ◽  
Dynamic Factors ◽  
Linear Behavior ◽  
New Variant ◽  
The Future ◽  
Semantic Associations ◽  
Spatio Temporal

Spatio-temporal land-use/ land-cover (<i>LULC</i>) change modeling is important to forecast the future <i>LULC</i> distribution, which may facilitate natural resource management, urban planning, etc. The spatio-temporal change in <i>LULC</i> trend often exhibits non-linear behavior, due to various dynamic factors, such as, human intervention (e.g., urbanization), environmental factors, etc. Hence, proper forecasting of <i>LULC</i> distribution should involve the study and trend modeling of historical data. Existing literatures have reported that the meteorological attributes (e.g., <i>NDVI</i>, <i>LST</i>, <i>MSI</i>), are semantically related to the terrain. Being influenced by the terrestrial dynamics, the temporal changes of these attributes depend on the <i>LULC</i> properties. Hence, incorporating meteorological knowledge into the temporal prediction process may help in developing an accurate forecasting model. This work attempts to study the change in inter-annual <i>LULC</i> pattern and the distribution of different meteorological attributes of a region in Kolkata (a metropolitan city in India) during the years 2000-2010 and forecast the future spread of <i>LULC</i> using <i>semantic kriging</i> (<i>SemK</i>) approach. A new variant of time-series <i>SemK</i> is proposed, namely <i>Rev-SemK</i><sub>ts</sub> to capture the multivariate semantic associations between different attributes. From empirical analysis, it may be observed that the augmentation of semantic knowledge in spatio-temporal modeling of meteorological attributes facilitate more precise forecasting of <i>LULC</i> pattern.

scholarly journals Research on Event-based Geospatial Data Updating

2019 ◽  
Vol 1 ◽  
pp. 1-1
Author(s):  
Zhao Zhou ◽  
Qun Sun ◽  
Xiaohua Lyu
Keyword(s):  
Life Cycle ◽  
Temporal Change ◽  
Geospatial Data ◽  
Prototype System ◽  
New Classification ◽  
Change Type ◽  
Spatio Temporal ◽  
Set Up ◽  
Event Based ◽  
Data Updating

<p><strong>Abstract.</strong> How to update the geospatial data timely and accurately has become the focus of surveying and mapping. However, an efficient updating system has not been set up so far. Still the updating operations depend on human-computer interaction, which is less efficient, labour-consuming and prone to error. Accordingly, this paper proposes a new event-based updating method of geospatial data in order to improve the automation and intelligence of data updating. The main contents of the paper are as follows:</p><p>On the basis of the five classical categories of spatio-temporal change typology, the paper proposes a new classification which includes create, transform, death, disappear, reappear, split，divide，combine，merge and so on. The above new classification of spatio-temporal change type is more compatible with geospatial data updating.</p><p>The paper proposes a new conception about the life cycle of geospatial features which simulates spatio-temporal changing process of the geospatial entity on the world. The life cycle of geospatial features is composed of three stages: emergence, existence and death. The rules of the above life cycle of geospatial features are also set up.</p><p>The paper gives a definition of geographical events and also sets up the conceptual model of geographical eventswhich is composed of time, location, geospatial feature, geographical event type and procedure. To better meet the demand of geospatial data updating, the geographical events are also reclassified into create event, transform event,death event, disappear event, reappear event, evolution event, split event, divide event, combine event and merge event.</p><p>The paper suggests that homologous geographical feature matching and change detecting should be used to deduce spatio-temporal change type and extract geographical events. The thesis intends to set up an up-to-down matching pattern with four layers so as to improve the efficiency and accuracy of matching. Buffer area matching and attribute matching are used to match the point features of the same names. Both the minimum bounding rectangle overlap area and discrete Fréchet distance are used to match the line features of the same names. As for area features, feature overlapping area and Hausdorff distance are employed in matching. In addition, the thesis proposes to use XML to organize and store dynamic updating operation.</p><p>Under the guidance of event-based geospatial data updating method, the related prototype system has been established and tested in the updating experiments of residence community and roads.</p>

scholarly journals Introduction to the Special Issue on IAAI 2008

AI Magazine ◽  
2009 ◽  
Vol 30 (2) ◽  
pp. 15
Author(s):  
Mehmet H. Goker ◽  
Karen Zita Haigh
Keyword(s):  
Artificial Intelligence ◽  
Real World ◽  
End Users ◽  
Special Issue ◽  
The Real ◽  
Complex Technology ◽  
Pure Research

The goal of the Innovative Applications of Artificial Intelligence (IAAI) conference is to highlight new, innovative, systems and application areas of AI technology and to point out the often-overlooked difficulties involved in deploying complex technology to end users. Those of us who have ventured out of the realm of pure research and tried to build applications to be used by our fellow humans realize that it takes a lot more than just brilliant algorithms to make an application survive in the real world. Each application that succeeds is worth celebrating and the teams behind them are due wholehearted congratulations. It is in this spirit that we bring you this special issue covering select applications from the IAAI conference held last year in Chicago.

Current Issues: Evidence-Based Practice for the Real World: Thoughts on Clinical Education in Communication Disorders

2010 ◽  
Vol 20 (3) ◽  
pp. 100-105 ◽  
Author(s):  
Anne K. Bothe
Keyword(s):  
Clinical Education ◽  
Real World ◽  
Evidence Based Practice ◽  
Communication Disorders ◽  
University Faculty ◽  
Evidence Based ◽  
Speech Language Pathology ◽  
Basic Principles ◽  
The Real ◽  
Language Pathology

This article presents some streamlined and intentionally oversimplified ideas about educating future communication disorders professionals to use some of the most basic principles of evidence-based practice. Working from a popular five-step approach, modifications are suggested that may make the ideas more accessible, and therefore more useful, for university faculty, other supervisors, and future professionals in speech-language pathology, audiology, and related fields.

The Real-World Fellowship

2006 ◽  
Vol 40 (7) ◽  
pp. 47
Author(s):  
LEE SAVIO BEERS
Keyword(s):  
Real World ◽  
The Real
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