Reconnaissance Technologies Used after the 2004 Niigata Ken Chuetsu, Japan, Earthquake

2006 ◽  
Vol 22 (1_suppl) ◽  
pp. 133-145 ◽  
Author(s):  
Charles K. Huyck ◽  
Masashi Matsuoka ◽  
Yoshikazu Takahashi ◽  
T. Thuy Vu
Keyword(s):  
Best Practices ◽  
Global Positioning System ◽  
Light Detection And Ranging ◽  
Positioning System ◽  
Advanced Technologies ◽  
Field Reconnaissance ◽  
Global Positioning ◽  
System Data ◽  
High Resolution Satellite Imagery ◽  
Very High

The Niigata Ken Chuetsu earthquake reconnaissance provided an opportunity to test several advanced data collection technologies, including light detection and ranging, global positioning system data linked to photos and video, very high resolution satellite imagery, geographic information systems, and Internet map servers. The experience gained showed that these technologies offer the engineering community valuable data both in the field and afterward if properly deployed. Information technology solutions should either aid in the reconnaissance itself or be easy to use in the field. Standards and best practices are needed for deploying advanced technologies within the challenging framework of field reconnaissance.

scholarly journals Development of Time-location Weighted Spatial Measures Using Global Positioning System Data

2013 ◽  
Vol 28 ◽  
pp. e2013005 ◽  
Author(s):  
Daikwon Han ◽  
Kiyoung Lee ◽  
Jongyun Kim ◽  
Deborah H. Bennett ◽  
Diana Cassady ◽  
...  
Keyword(s):  
Global Positioning System ◽  
Positioning System ◽  
Global Positioning ◽  
Spatial Measures ◽  
System Data

scholarly journals Physical Demands of Top-Class Soccer Friendly Matches in Relation to a Playing Position Using Global Positioning System Technology

2015 ◽  
Vol 47 (1) ◽  
pp. 179-188 ◽  
Author(s):  
Javier Mallo ◽  
Esteban Mena ◽  
Fabio Nevado ◽  
Víctor Paredes
Keyword(s):  
Global Positioning System ◽  
High Intensity ◽  
Positioning System ◽  
Physical Demands ◽  
Gps Technology ◽  
Total Distance ◽  
Professional Soccer ◽  
Global Positioning ◽  
Rate Profile ◽  
Very High

AbstractThe aim of this study was to examine the physical demands imposed on professional soccer players during 11-a-side friendly matches in relation to their playing position, using global positioning system (GPS) technology. One hundred and eleven match performances of a Spanish “La Liga” team during the 2010-11 and 2011-12 pre-seasons were selected for analysis. The activities of the players were monitored using GPS technology with a sampling frequency of 1 Hz. Total distance covered, distance in different speed categories, accelerations, and heart rate responses were analyzed in relation to five different playing positions: central defenders (n=23), full-backs (n=20), central midfielders (n=22), wide midfielders (n=26), and forwards (n=20). Distance covered during a match averaged 10.8 km, with wide and central midfielders covering the greatest total distance. Specifically, wide midfielders covered the greatest distances by very high-intensity running (>19.8 km·h-1) and central midfielders by jogging and running (7.2-19.7 km·h-1). On the other hand, central defenders covered the least total distance and at high intensity, although carried out more (p<0.05-0.01) accelerations than forwards, wide midfielders, and fullbacks. The work rate profile of the players obtained with the GPS was very similar to that obtained with semi-automatic image technologies. However, when comparing results from this study with data available in the literature, important differences were detected in the amount of distance covered by sprinting, which suggests that caution should be taken when comparing data obtained with the GPS with other motion analysis systems, especially regarding high-intensity activities.

scholarly journals Mode Inference using enhanced Segmentation and Pre-processing on raw Global Positioning System data

2020 ◽  
Vol 53 (7-8) ◽  
pp. 1144-1158 ◽  
Author(s):  
Asif Nawaz ◽  
Huang Zhiqiu ◽  
Wang Senzhang ◽  
Yasir Hussain ◽  
Amara Naseer ◽  
...  
Keyword(s):  
Global Positioning System ◽  
Mobile Communications ◽  
Single Mode ◽  
Positioning System ◽  
Trajectory Data ◽  
Transportation Mode ◽  
Extensive Evaluation ◽  
Global Positioning ◽  
Significant Performance ◽  
System Data

Many applications use the Global Positioning System data that provide rich context information for multiple purposes. Easier availability and access of Global Positioning System data can facilitate various mobile applications, and one of such applications is to infer the mobility of a user. Most existing works for inferring users’ transportation modes need the combination of Global Positioning System data and other types of data such as accelerometer and Global System for Mobile Communications. However, the dependency of the applications to use data sources other than the Global Positioning System makes the use of application difficult if peer data source is not available. In this paper, we introduce a new generic framework for the inference of transportation mode by only using the Global Positioning System data. Our contribution is threefold. First, we propose a new method for Global Positioning System trajectory data preprocessing using grid probability distribution function. Second, we introduce an algorithm for the change point–based trajectory segmentation, to more effectively identify the single-mode segments from Global Positioning System trajectories. Third, we introduce new statistical-based topographic features that are more discriminative for transportation mode detection. Through extensive evaluation on the large trajectory data GeoLife, our approach shows significant performance improvement in terms of accuracy over state-of-the-art baseline models.

Subsidence is determined in the heart of the Central Valley using Post Processed Static and Precise Point Positioning techniques

2020 ◽  
Vol 14 (1) ◽  
pp. 113-118 ◽  
Author(s):  
Y. Facio ◽  
M. Berber
Keyword(s):  
Data Processing ◽  
Global Positioning System ◽  
Precise Point Positioning ◽  
Central Valley ◽  
Gps Data ◽  
Positioning System ◽  
Online Services ◽  
Global Positioning ◽  
System Data ◽  
Point Positioning

AbstractPost Processed Static (PPS) and Precise Point Positioning (PPP) techniques are not new; however, they have been refined over the decades. As such, today these techniques are offered online via GPS (Global Positioning System) data processing services. In this study, one Post Processed Static (OPUS) and one Precise Point Positioning (CSRS-PPP) technique is used to process 24 h GPS data for a CORS (Continuously Operating Reference Stations) station (P565) duration of year 2016. By analyzing the results sent by these two online services, subsidence is determined for the location of CORS station, P565, as 3–4 cm for the entire year of 2016. In addition, precision of these two techniques is determined as ∼2 cm. Accuracy of PPS and PPP results is 0.46 cm and 1.21 cm, respectively. Additionally, these two techniques are compared and variations between them is determined as 2.5 cm.

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