scholarly journals Improve wildlife species tracking—Implementing an enhanced global positioning system data management system for California condors

2016 ◽  
Author(s):  
Robert G. Waltermire ◽  
Christopher U. Emmerich ◽  
Laura C. Mendenhall ◽  
Gil Bohrer ◽  
Rolf P. Weinzierl ◽  
...  
Keyword(s):  
Data Management ◽  
Global Positioning System ◽  
Management System ◽  
Data Management System ◽  
Positioning System ◽  
Wildlife Species ◽  
Global Positioning ◽  
System Data

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

Implementasi Automatic Dependent Surveillance Broadcast (ADS-B) di Indonesia

WARTA ARDHIA ◽  
2014 ◽  
Vol 40 (3) ◽  
pp. 147-162
Author(s):  
Yati Nurhayati ◽  
Susanti Susanti
Keyword(s):  
Global Positioning System ◽  
Wind Direction ◽  
Management System ◽  
New Technology ◽  
Positioning System ◽  
Observation Plane ◽  
Detection Technology ◽  
Global Positioning ◽  
Other Information ◽  
Plane Passing

Teknlologi ADSB is a new technology in the observation plane which is a combination of global positioning system (GPS), so that the aircraft can be traced to the position, velocity, wind direction, and altitude. This tool can be installed in the aircraft or ground stations and more superior than the radar.ADS-B is indeed a revolutionary look, start with only the antenna and the tool less than for a small refrigerator can detect aircraft and air traffic displays.Automatic Dependent Surveillance- Broadcast (ADS-B) is a detection technology where each plane passing owned transponder emits every two times per second information altitude, position, speed, direction, and other information to ground stations and other aircraft. This information is obtained from the information the Global Positioning System (GPS) or backup Flight Management System (FMS) in each plane. Teknlologi ADSB adalah teknologi baru dalam pengamatan pesawat terbang yang merupakan kombinasi global positioning system (GPS), sehingga pesawat bisa terlacak posisi, kecepatan, arah angin, dan ketinggian. Alat ini bisa dipasang di pesawat atau stasiun darat dan lebih unggul dari radar. ADS-B ini memang terlihat revolusioner, dengan hanya berbekal antenna dan alat kurang dari sebesar lemari es kecil dapat mendeteksi pesawat terbang dan menampilkan lalu lintas udara.Automatic Dependent Surveillance- Broadcast (ADS-B) adalah teknologi pendeteksi dimana setiap pesawat lewat transponder yang dimiliki memancarkan setiap dua kali dalam tiap detik informasi ketinggian, posisi, kecepatan, arah, dan informasi lainnya ke stasiun darat dan pesawat lainnya. Informasi ini didapat dari informasi Global Positioning System (GPS) atau backup Flight Management System (FMS) yang ada di pesawat masing-masing.

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.

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