scholarly journals Travel mode detection method based on big smartphone global positioning system tracking data

2017 ◽  
Vol 9 (6) ◽  
pp. 168781401770813 ◽  
Author(s):  
Chaoran Zhou ◽  
Hongfei Jia ◽  
Jingxin Gao ◽  
Lili Yang ◽  
Yixiong Feng ◽  
...  
Keyword(s):  
Global Positioning System ◽  
Detection Method ◽  
Positioning System ◽  
Tracking Data ◽  
Travel Mode ◽  
Mode Detection ◽  
Global Positioning ◽  
Global Positioning System Tracking

Pediatric Tuberculosis and a Unique Method of Case Finding and Default Prevention: The Case of Baby ‘Lucky’, Moyale Sub-County, Kenya, 2019

2020 ◽  
Vol 66 (5) ◽  
pp. 553-555
Author(s):  
Dahabo Adi Galgallo ◽  
Ibrahim Lio ◽  
Adano Kochi ◽  
Dennis Kalikidane Mutiga CCE ◽  
James Ransom
Keyword(s):  
Global Positioning System ◽  
Male Infant ◽  
Case Finding ◽  
Positioning System ◽  
Extra Pulmonary Tuberculosis ◽  
Global Positioning ◽  
Unique Method ◽  
Global Positioning System Tracking ◽  
Pediatric Tuberculosis ◽  
Default Prevention

Abstract We report the case of a 9-month-old male infant diagnosed in the field with extra-pulmonary tuberculosis (TB). Use of innovative global positioning system tracking of pregnant pastoralist women allowed staff to find the mother, locate the infant and enroll the infant in care and treatment. Due to this innovative intervention of case finding and tracking, the infant was prevented from defaulting and completed his anti-TB regimen.

scholarly journals Pigeons combine compass and landmark guidance in familiar route navigation

2007 ◽  
Vol 104 (18) ◽  
pp. 7471-7476 ◽  
Author(s):  
Dora Biro ◽  
Robin Freeman ◽  
Jessica Meade ◽  
Stephen Roberts ◽  
Tim Guilford
Keyword(s):  
Global Positioning System ◽  
Columba Livia ◽  
Homing Pigeon ◽  
Positioning System ◽  
Compass Orientation ◽  
Sun Compass ◽  
Global Positioning ◽  
Global Positioning System Tracking ◽  
Tracking Technology ◽  
Route Navigation

How do birds orient over familiar terrain? In the best studied avian species, the homing pigeon (Columba livia), two apparently independent primary mechanisms are currently debated: either memorized visual landmarks provide homeward guidance directly, or birds rely on a compass to home from familiar locations. Using miniature Global Positioning System tracking technology and clock-shift procedures, we set sun-compass and landmark information in conflict, showing that experienced birds can accurately complete their memorized routes by using landmarks alone. Nevertheless, we also find that route following is often consistently offset in the expected compass direction, faithfully reproducing the shape of the track, but in parallel. Thus, we demonstrate conditions under which compass orientation and landmark guidance must be combined into a system of simultaneous or oscillating dual control.

scholarly journals Spoofing Detection of Civilian UAVs Using Visual Odometry

2019 ◽  
Vol 9 (1) ◽  
pp. 6 ◽  
Author(s):  
Masood Varshosaz ◽  
Alireza Afary ◽  
Barat Mojaradi ◽  
Mohammad Saadatseresht ◽  
Ebadat Ghanbari Parmehr
Keyword(s):  
Global Positioning System ◽  
Detection Method ◽  
Visual Odometry ◽  
Positioning System ◽  
Moving Window ◽  
Gps Receiver ◽  
Flight Direction ◽  
Global Positioning ◽  
Spoofing Detection ◽  
Euclidian Distances

Spoofing of Unmanned Aerial Vehicles (UAV) is generally carried out through spoofing of the UAV’s Global Positioning System (GPS) receiver. This paper presents a vision-based UAV spoofing detection method that utilizes Visual Odometry (VO). This method is independent of the other complementary sensors and any knowledge or archived map and datasets. The proposed method is based on the comparison of relative sub-trajectory of the UAV from VO, with its absolute replica from GPS within a moving window along the flight path. The comparison is done using three dissimilarity measures including (1) Sum of Euclidian Distances between Corresponding Points (SEDCP), (2) angle distance and (3) taxicab distance between the Histogram of Oriented Displacements (HOD) of these sub-trajectories. This method can determine the time and location of UAV spoofing and bounds the drift error of VO. It can be used without any restriction in the usage environment and can be implemented in real-time applications. This method is evaluated on four UAV spoofing scenarios. The results indicate that this method is effective in the detection of UAV spoofing due to the Sophisticated Receiver-Based (SRB) GPS spoofing. This method can detect UAV spoofing in the long-range UAV flights when the changes in UAV flight direction is larger than 3° and in the incremental UAV spoofing with the redirection rate of 1°. Additionally, using SEDCP, the spoofing of the UAV, when there is no redirection and only the velocity of the UAV is changed, can be detected. The results show that SEDCP is more effective in the detection of UAV spoofing and fake GPS positions.

scholarly journals Physical Activity Measured Using Global Positioning System Tracking in Non–Small Cell Lung Cancer

2014 ◽  
Vol 13 (6) ◽  
pp. 482-492 ◽  
Author(s):  
Catherine L. Granger ◽  
Linda Denehy ◽  
Christine F. McDonald ◽  
Louis Irving ◽  
Ross A. Clark
Keyword(s):  
Physical Activity ◽  
Lung Cancer ◽  
Global Positioning System ◽  
Small Cell ◽  
Gps Tracking ◽  
Positioning System ◽  
Healthy Individuals ◽  
Small Cell Lung ◽  
Global Positioning ◽  
Global Positioning System Tracking

Introduction. Increasingly physical activity (PA) is being recognized as an important outcome in non–small cell lung cancer (NSCLC). We investigated PA using novel global positioning system (GPS) tracking individuals with NSCLC and a group of similar-aged healthy individuals. Methods. A prospective cross-sectional multicenter study. Fifty individuals with NSCLC from 3 Australian tertiary hospitals and 35 similar-aged healthy individuals without cancer were included. Individuals with NSCLC were assessed pretreatment. Primary measures were triaxial accelerometery (steps/day) and GPS tracking (outdoor PA behavior). Secondary measures were questionnaires assessing depression, motivation to exercise, and environmental barriers to PA. Between-group comparisons were analyzed using analysis of covariance. Results. Individuals with NSCLC engaged in significantly less PA than similar-aged healthy individuals (mean difference 2363 steps/day, P = .007) and had higher levels of depression ( P = .027) and lower motivation to exercise ( P = .001). Daily outdoor walking time ( P = .874) and distance travelled away from home ( P = .883) were not different between groups. Individuals with NSCLC spent less time outdoors in their local neighborhood area ( P < .001). A greater number of steps per day was seen in patients who were less depressed ( r = .39) or had better access to nonresidential destinations such as shopping centers ( r = .25). Conclusion. Global positioning system tracking appears to be a feasible methodology for adult cancer patients and holds promise for use in future studies investigating PA and or lifestyle behaviors.

scholarly journals Design of Entry Detection Method for Top-Bounded Spaces Using GPS SNR and Spatial Characteristics for Seamless Positioning in Logistics Facilities

Sensors ◽  
2020 ◽  
Vol 20 (23) ◽  
pp. 6864
Author(s):  
Kenichi Tabata ◽  
Madoka Nakajima ◽  
Naohiko Kohtake
Keyword(s):  
Global Positioning System ◽  
Detection Method ◽  
Signal To Noise Ratio ◽  
Industrial Applications ◽  
Positioning System ◽  
Spatial Characteristics ◽  
Outdoor Spaces ◽  
Global Positioning ◽  
Simple Processing ◽  
Indoor And Outdoor

With the widespread use of indoor positioning technology, various services based on this technology are beginning to be offered to consumers and industrial applications. In the case of logistics facilities, in addition to indoor and outdoor spaces, there are top-bounded spaces (TBSs): elongated areas that are covered with roofs or eaves on the upper parts of buildings. The sides of such spaces are open, and workers and forklifts work in these areas. Only a few studies have been conducted on positioning methods for this unusual environment, and the way by which Signal-to-Noise Ratio (SNR) of Global Positioning System (GPS) changes with the stay in TBSs is unclear. Therefore, we conducted preliminary experiments and confirmed that TBS dwellings are difficult to stably detect with existing methods due to the combination of satellites with variable and unchanged SNRs. In this study, we designed a simple processing flow for selecting satellites with high probabilities of changing SNRs by using the spatial characteristics of TBSs as parameters (height, depth, and side opening orientation). We propose a method to detect the stay in TBSs using the SNR change rates of the selected satellites. As a result of evaluation experiments with three TBSs, we successfully detected the stay in TBSs with about 30% higher probability than those of an existing method.

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