scholarly journals Surge of Bering Glacier and Bagley Ice Field, Alaska: an update to August 1995 and an interpretation of brittle-deformation patterns

1997 ◽  
Vol 43 (145) ◽  
pp. 427-434 ◽  
Author(s):  
Ute Christina Herzfeld ◽  
Helmut Mayer
Keyword(s):  
Global Positioning System ◽  
Brittle Deformation ◽  
Location Data ◽  
The Past ◽  
Ice Surface ◽  
Bering Glacier ◽  
Global Positioning ◽  
Ice Field ◽  
Deformation Patterns

AbstractIn the summers of 1993, 1994 and 1995, video and Global Positioning System location data and 35 mm photographs were collected in a series of systematic survey flights undertaken over the Bering Glacier and Bagley Ice Field system (Alaska) in an effort to characterize surge-crevasse patterns and surge propagation. During survey flights in late August 1995, we observed that the 1993–94. Bering Glacier surge was continuing and still expanding affecting new areas farther up in Bagley Ice Field. New crevasse fields, similar in pattern to the first surge crevasses we had observed in June 1993 below Khitrov Hills and in other isolated areas of central Bering Glacier and in July 1994 near the head of Bering Glacier (near the junction of Bering Glacier and Bagley Ice Field, in both upper Bering Glacier and Bagley Ice Field), were opening in eastern Bagley Ice Field and in the “Stellet” side of Bagley Ice Field. The type of crevasses seen in the new fields suggested that the surge was propagating into these areas. By analysis and interpretation of the brittle-deformation patterns apparent in the crevasse patterns, some aspects of the past kinematic framework of the surge can be deduced. This approach may lead to a more general classification of ice-surface structures and to their linkage to ongoing processes.

scholarly journals Surge of Bering Glacier and Bagley Ice Field, Alaska: an update to August 1995 and an interpretation of brittle-deformation patterns

1997 ◽  
Vol 43 (145) ◽  
pp. 427-434 ◽  
Author(s):  
Ute Christina Herzfeld ◽  
Helmut Mayer
Keyword(s):  
Global Positioning System ◽  
Brittle Deformation ◽  
Location Data ◽  
The Past ◽  
Ice Surface ◽  
Bering Glacier ◽  
Global Positioning ◽  
Ice Field ◽  
Deformation Patterns

AbstractIn the summers of 1993, 1994 and 1995, video and Global Positioning System location data and 35 mm photographs were collected in a series of systematic survey flights undertaken over the Bering Glacier and Bagley Ice Field system (Alaska) in an effort to characterize surge-crevasse patterns and surge propagation. During survey flights in late August 1995, we observed that the 1993–94. Bering Glacier surge was continuing and still expanding affecting new areas farther up in Bagley Ice Field. New crevasse fields, similar in pattern to the first surge crevasses we had observed in June 1993 below Khitrov Hills and in other isolated areas of central Bering Glacier and in July 1994 near the head of Bering Glacier (near the junction of Bering Glacier and Bagley Ice Field, in both upper Bering Glacier and Bagley Ice Field), were opening in eastern Bagley Ice Field and in the “Stellet” side of Bagley Ice Field. The type of crevasses seen in the new fields suggested that the surge was propagating into these areas. By analysis and interpretation of the brittle-deformation patterns apparent in the crevasse patterns, some aspects of the past kinematic framework of the surge can be deduced. This approach may lead to a more general classification of ice-surface structures and to their linkage to ongoing processes.

scholarly journals The Application of GPS (Global Positioning System) and SMS Gateway on Hepinar “Helm Pintar” Arduino Microcontroller Based as a Post-Accident Solution

INSIST ◽  
2019 ◽  
Vol 4 (1) ◽  
pp. 195
Author(s):  
Malikul Fanani ◽  
Kukuh Priambodo ◽  
Iklil Sulaiman ◽  
Sumardi Sumardi
Keyword(s):  
Global Positioning System ◽  
Traffic Accident ◽  
Prehospital Care ◽  
Positioning System ◽  
Location Data ◽  
Global Positioning ◽  
Accident Victim ◽  
Arduino Microcontroller ◽  
To Receive ◽  
Coordinate Data

In Indonesia, the number of death of accident is still pretty high with most of 70% the traffic accident is motorcycle driver who is late in getting aid and the head injury is the first order of all types of experiencing by the accident victim. Prehospital Care is an emergency service when the victim is firstly found, during the process of the transportation until the patient arrives at the hospital Thus, the purpose of this research is the application of GPS (Global Positioning System) and SMS gateway on the safety helmet in order to increase the aid post-accident. The application of GPS has an advantage to receive data from the satellite which next will be stored on arduino microcontroller. Microcontroller will retrieve the driver location data in the forms of latitude, longitude and time. Next, the driver location will be sent by microcontroller via SMS gateway service to the nearest hospital and the victim's family to make the evacuation process easy. This research is tested along the travel of Jember-Lumajang regency. The result of this research is the GPS application on the safety helmet can be applied well. The transmission of driver position coordinate data if the accident happened via sending media of SMS can be applied along with GSM signal from the provider so that the SMS sending works well.

scholarly journals The onset area of Ice Stream D, West Antarctica

2000 ◽  
Vol 46 (152) ◽  
pp. 95-101 ◽  
Author(s):  
Robert Bindschadler ◽  
Xin Chen ◽  
Patricia Vornberger
Keyword(s):  
Strain Rate ◽  
Global Positioning System ◽  
Landsat Imagery ◽  
Surface Flow ◽  
West Antarctica ◽  
The Past ◽  
Ice Stream ◽  
Global Positioning ◽  
Longitudinal Strain Rate ◽  
Streaming Flow

AbstractSurface flow in a 10 000 km2 expanse of the onset area of Ice Stream D, West Antarctica, was measured by repeat, precise global positioning system surveys over a 1 year interval. The pattern of velocity and strain rate shows the development of Ice Stream D, the major flow into which originates south of Byrd station and follows the course of a deep bed channel. Plotting of the driving stress vs the ratio of velocity and ice thickness identifies the onset of streaming flow (roughly 140 km downstream of Byrd station) as a transition between deformation flow and sliding flow. Along the kinematic center line of the developing ice stream, the ice rheology is linear at stresses below 0.6 bar, and appears temperate at the base well before the onset of streaming is reached. The onset corresponds to a maximum driving stress of 0.8 bar. It occurs downstream of a slight increase in longitudinal strain rate where stronger along-flow lineations are apparent in Landsat imagery, and after the ice has passed the center of an overdeepening in the bed channel. No current deviation from equilibrium is detected in this region, but a set of flow stripes misaligned with present flow indicates significant changes in flow have occurred in the past.

scholarly journals Estimating Vehicle Movement Direction from Smartphone Accelerometers Using Deep Neural Networks

Sensors ◽  
2018 ◽  
Vol 18 (8) ◽  
pp. 2624 ◽  
Author(s):  
Sara Hernández Sánchez ◽  
Rubén Fernández Pozo ◽  
Luis Hernández Gómez
Keyword(s):  
Global Positioning System ◽  
Driving Forces ◽  
Movement Direction ◽  
Motion Sensors ◽  
Forward Movement ◽  
Significant Acceleration ◽  
Global Positioning ◽  
Vehicle Movement

Characterization of driving maneuvers or driving styles through motion sensors has become a field of great interest. Before now, this characterization used to be carried out with signals coming from extra equipment installed inside the vehicle, such as On-Board Diagnostic (OBD) devices or sensors in pedals. Nowadays, with the evolution and scope of smartphones, these have become the devices for recording mobile signals in many driving characterization applications. Normally multiple available sensors are used, such as accelerometers, gyroscopes, magnetometers or the Global Positioning System (GPS). However, using sensors such as GPS increase significantly battery consumption and, additionally, many current phones do not include gyroscopes. Therefore, we propose the characterization of driving style through only the use of smartphone accelerometers. We propose a deep neural network (DNN) architecture that combines convolutional and recurrent networks to estimate the vehicle movement direction (VMD), which is the forward movement directional vector captured in a phone’s coordinates. Once VMD is obtained, multiple applications such as characterizing driving styles or detecting dangerous events can be developed. In the development of the proposed DNN architecture, two different methods are compared. The first one is based on the detection and classification of significant acceleration driving forces, while the second one relies on longitudinal and transversal signals derived from the raw accelerometers. The final success rate of VMD estimation for the best method is of 90.07%.

scholarly journals Akumulasi Regangan di Sumatera Berdasarkan Data Pengamatan GPS Tahun 2002-2008 dan Dampak Kerusakan Lingkungan Akibat Pelepasan Regangan

2017 ◽  
Vol 1 (2) ◽  
Author(s):  
Riko Maiyudi ◽  
Irwan Meilano ◽  
Dina Sarsito
Keyword(s):  
Global Positioning System ◽  
Displacement Vector ◽  
Disaster Mitigation ◽  
Environmental Damage ◽  
Positioning System ◽  
Eurasian Plate ◽  
Tectonic Plates ◽  
Global Positioning ◽  
Sumatra Island ◽  
Deformation Patterns

ABSTRAKPulau Sumatera terletak di antara dua lempeng tektonik yaitu lempeng Indo-Australia dan lempeng Eurasia. Intensitas gempa bumi sangat besar di pulau ini, terutama di sepanjang daerah pesisir barat. Pada 2002-2008 periode, banyak gempa bumi besar yang menyebabkan korban jiwa dan kerusakan lingkungan. Fenomena ini menunjukkan bahwa studi tentang pola deformasi pulau Sumatera sangat diperlukan. Studi yang diperlukan adalah untuk rencana mitigasi bencana di masa depan. Pola deformasi gempa dapat diamati dengan GPS pengamatan (Global Positioning System). Data yang digunakan untuk gempa Sumatera adalah GPS Sumatera Array (SuGAr). Perangkat lunak yang digunakan untuk data Array GPS Sumatera dari pulau Sumatera adalah Gamit 10.4. Dari hasil pengolahan data, dapat disimpulkan bahwa data perpindahan koordinat stasiun dapat digunakan jika data outlier telah terhapus. Dari koordinat perpindahan stasiun bisa diperoleh vektor perpindahan semua stasiun sebelum, selama atau setelah gempa bumi. Dari perpindahan nilai-nilai vektor, nilai regangan yang terjadi di sepanjang pulau Sumatera dapat diperkirakan. Dari data regangan, nilai akumulasi regangan 2002-2008 dapat diperoleh. Sehingga dapat dianalisis wilayah yang berpotensi terjadinya gempa selanjutnya.Kata Kunci: Akumulasi Regangan , Deformasi, Kerusakan Lingkungan, ABSTRACTThe Sumatra Island is located between two tectonic plates; the Indo-Australia Plate and the Eurasian plate. The intensity of the earthquakes is very large on the island because of this, especially along the western coastal area. On the 2002 to 2008 period, many large earthquakes that caused casualties and damage to the environment. These phenomena shows that the studies of the deformation patterns of the Sumatra island is required. The studies are required for disaster mitigation plans in the future. The deformation patterns of the earthquake can be observed with GPS (Global Positioning System) observation. The data that is being used for Sumatra earthquake is the Sumatran GPS Array. The software that is used for the Sumatran GPS Array data of the Sumatra Island is the Gamit 10.4. From the data processing, it can be concluded that there are displacements of the nations can be used if the outlier data has been erased. From the station displacement coordinates, we can obtain the displacement vector of all of the station before, during or after the earthquakes. From the displacement vector values, the values of the strain that occurs along the Sumatra Island can be estimated. From the strain data, the accumulated value of strain from 2002 to 2008 can be obtained. Finally it can be predicted potential area for next earthquake.Keywords: Keywords: Deformation, Environmental Damage, Accumulated Strain. 

scholarly journals Quantification of the Accuracy of Low Priced GPS Receivers for Crash Location

2010 ◽  
Author(s):  
Thobias Sando ◽  
Renatus Mussa ◽  
John Sobanjo ◽  
Lisa Spainhour
Keyword(s):  
Global Positioning System ◽  
Time Of Day ◽  
Gps Data ◽  
Positioning System ◽  
Gps Receiver ◽  
Accuracy Improvement ◽  
Gps Receivers ◽  
Location Data ◽  
Global Positioning ◽  
Potential Tool

Global positioning system (GPS) has been identified as a potential tool for capturing crash location data. This study quantifies factors that could affect the accuracy of GPS receivers. The results showed that GPS receiver orientation, site obstructions, and weather have significant effects on the accuracy of GPS receivers. Time of day and number of satellites were not found to significantly affect the accuracy of GPS receivers. HDOP values of 1.2 or less were found to be adequate for crash location purposes. An accuracy improvement of 20.7% was realized by filtering GPS data based on HDOP values.

scholarly journals How Users of a Smartphone Weather Application Are Influenced by Animated Announcements Conveying Rainfall Intensity and Electronic Gifts Promoting Rain Evacuation

2019 ◽  
Vol 14 (9) ◽  
pp. 1236-1244
Author(s):  
Hiroko Nakajima ◽  
Kan Shimazaki ◽  
Yang Ishigaki ◽  
Akiko Miyajima ◽  
Akira Kuriyama ◽  
...  
Keyword(s):  
Global Positioning System ◽  
Rainfall Intensity ◽  
Heavy Rain ◽  
Statistical Bias ◽  
Start Time ◽  
Location Data ◽  
Weather Information ◽  
Significant Difference ◽  
Global Positioning ◽  
The Relationship

In this study, we assumed that animated announcements that conveyed rainfall intensity of localized heavy rain and the distribution of electronic gifts to encourage rain evacuation would promote evacuation actions. If evacuation actions could be promoted through these methods, then the transmission of weather information could be improved. Therefore, we modified the features of a weather information application for smartphones, which was already widely used, and conducted a demonstrative experiment with application users who agreed to participate in order to check the validity. We analyzed users’ behaviors by transmitting information regarding the predicted start time of rain and recording the Global Positioning System coordinates of the users’ smartphones. In addition, a questionnaire survey was administered to the users after the experiment to collect data on their conception of rainfall intensity. The participants were also interviewed. The results of the experiment showed a significant difference in user conception of rainfall intensity depending on whether they had viewed the animation. However, a behavior analysis based on location data showed no statistical bias in the relationship between the animation and rain evacuation behavior.

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