positioning systems
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2022 ◽  
Vol 7 (1) ◽  
pp. 11
Author(s):  
Andrew R. Jagim ◽  
Andrew T. Askow ◽  
Victoria Carvalho ◽  
Jason Murphy ◽  
Joel A. Luedke ◽  
...  

Research quantifying the unique workload demands of starters and reserves in training and match settings throughout a season in collegiate soccer is limited. Purpose: The purpose of the current study is to compare accumulated workloads between starters and reserves in collegiate soccer. Methods: Twenty-two NCAA Division III female soccer athletes (height: 1.67 ± 0.05 m; body mass: 65.42 ± 6.33 kg; fat-free mass: 48.99 ± 3.81 kg; body fat %: 25.22 ± 4.78%) were equipped with wearable global positioning systems with on-board inertial sensors, which assessed a proprietary training load metric and distance covered for each practice and 22 matches throughout an entire season. Nine players were classified as starters (S), defined as those playing >50% of playing time throughout the entire season. The remaining 17 were reserves (R). Goalkeepers were excluded. A one-way ANOVA was used to determine the extent of differences in accumulated training load throughout the season by player status. Results: Accumulated training load and total distance covered for starters were greater than reserves ((S: 9431 ± 1471 vs. R: 6310 ± 2263 AU; p < 0.001) and (S: 401.7 ± 31.9 vs. R: 272.9 ± 51.4 km; p < 0.001), respectively) throughout the season. Conclusions: Starters covered a much greater distance throughout the season, resulting in almost double the training load compared to reserves. It is unknown if the high workloads experienced by starters or the low workloads of the reserves is more problematic. Managing player workloads in soccer may require attention to address potential imbalances that emerge between starters and reserves throughout a season.


2022 ◽  
Vol 119 (1) ◽  
pp. e2102233118
Author(s):  
Luke E. Miller ◽  
Cécile Fabio ◽  
Malika Azaroual ◽  
Dollyane Muret ◽  
Robert J. van Beers ◽  
...  

Perhaps the most recognizable sensory map in all of neuroscience is the somatosensory homunculus. Although it seems straightforward, this simple representation belies the complex link between an activation in a somatotopic map and the associated touch location on the body. Any isolated activation is spatially ambiguous without a neural decoder that can read its position within the entire map, but how this is computed by neural networks is unknown. We propose that the somatosensory system implements multilateration, a common computation used by surveying and global positioning systems to localize objects. Specifically, to decode touch location on the body, multilateration estimates the relative distance between the afferent input and the boundaries of a body part (e.g., the joints of a limb). We show that a simple feedforward neural network, which captures several fundamental receptive field properties of cortical somatosensory neurons, can implement a Bayes-optimal multilateral computation. Simulations demonstrated that this decoder produced a pattern of localization variability between two boundaries that was unique to multilateration. Finally, we identify this computational signature of multilateration in actual psychophysical experiments, suggesting that it is a candidate computational mechanism underlying tactile localization.


2022 ◽  
Vol 961 (1) ◽  
pp. 012077
Author(s):  
Jaafar Naji Daoud Al-Shuwaili ◽  
Hussein Musa Al-Shamri

Abstract This study was conducted for the purpose of estimating the soil and water quality of the Gharraf River Basin in the north of Dhi Qar Governorate using geomatics techniques represented by geographic information systems (GIS), remote sensing (RS) and positioning systems (GNSS). Which is about (90 km) from the city center. The chemical analyzes of the water samples showed that the degree of interaction was between (7.84-7.7) and the electrical conductivity (dS.m¯1.1-1.05), and the total dissolved substances were between (1106-1051ppm), and the mathematical statistical relationships were weakly correlated with the ratios of the visible space bands. pH, electrical conductivity and total dissolved materials. Calcium ratios in the study area ranged between (ppm 47.4-107) and there was a significant correlation with the range (B/R + B) with a value of (R2 = 0.51), and the results showed the ratios of magnesium in the study area between (ppm 9.67 - 26.61.) Between it and the band ratio (B/R + B)), a correlation relationship with a value of (R2=0.525), potassium recorded an average between (3.1-ppm 5.5), and there was a significant correlation between it and the band ratio (B/R +R) and it reached (R2=0.665). ), found a statistical relationship between sodium and the ratio of the band (B/R + R)) and a significant correlation was recorded with a value of (R2 = 0.527). - 102.52) And there was a correlation between the presence of chloride and the ratio of the range (B/NIR + G) as it was recorded (R2 = 0.593), the bicarbonate recorded ratios between (ppm 1.8-2.7), and there was a statistical relationship between the bicarbonate and the ratio of the range (C / R). ) amounted to (R2 = 0.573), nitrate values were recorded in the study area between (4 - 3.45 ppm) and there was a significant correlation between them and the range (B5) as it reached (R2 = 0.581), sulfate values were recorded between (207.25 - 277.5 ppm) and through Statistical analysis found that there is a correlation between The presence of sulfate with the ratio (C + B + G + R + NIR) which amounted to (R2 = 0.596), the sodium adsorption ratio (SAR) was calculated, as its values ranged between (3.192 - 0.147) and most of the statistical relationships were weakly related to the spatial ratios and were gradually The hardness values in the study area are between (99.7 - 198.1)(


Silva Fennica ◽  
2022 ◽  
Vol 56 (1) ◽  
Author(s):  
Lennart Noordermeer ◽  
Erik Næsset ◽  
Terje Gobakken

Newly developed positioning systems in cut-to-length harvesters enable georeferencing of individual trees with submeter accuracy. Together with detailed tree measurements recorded during processing of the tree, georeferenced harvester data are emerging as a valuable tool for forest inventory. Previous studies have shown that harvester data can be linked to airborne laser scanner (ALS) data to estimate a range of forest attributes. However, there is little empirical evidence of the benefits of improved positioning accuracy of harvester data. The two objectives of this study were to (1) assess the accuracy of timber volume estimation using harvester data and ALS data acquired with different scanners over multiple years and (2) assess how harvester positioning errors affect merchantable timber volume predicted and estimated from ALS data. We used harvester data from 33 commercial logging operations, comprising 93 731 harvested stems georeferenced with sub-meter accuracy, as plot-level training data in an enhanced area-based inventory approach. By randomly altering the tree positions in Monte Carlo simulations, we assessed how prediction and estimation errors were influenced by different combinations of simulated positioning errors and grid cell sizes. We simulated positioning errors of 1, 2, …, 15 m and used grid cells of 100, 200, 300 and 400 m. Values of root mean square errors obtained for cell-level predictions of timber volume differed significantly for the different grid cell sizes. The use of larger grid cells resulted in a greater accuracy of timber volume predictions, which were also less affected by positioning errors. Accuracies of timber volume estimates at logging operation level decreased significantly with increasing levels of positioning error. The results highlight the benefit of accurate positioning of harvester data in forest inventory applications. Further, the results indicate that when estimating timber volume from ALS data and inaccurately positioned harvester data, larger grid cells are beneficial.2


2022 ◽  
Vol 961 (1) ◽  
pp. 012079
Author(s):  
Jaafar Naji Daoud Al-Shuwaili ◽  
Hussein Musa Al-Shamri

Abstract Overview of assessment in geographical areas (GIS) and model reviews, positioning (GNSS), positioning, this study was conducted for the purpose of estimating the soil quality of the Gharat River Basin in the north of Dhi Qar Governorate using geomatics techniques represented by geographic information systems (GIS), remote sensing (RS) and positioning systems (GNSS). Which is about (90 km) from the city center. In nature soils and the correlation (B / C) reached (R2 = 0.907) for sand, while the clay was correlation with the range (B / R) and it was (R2 = 0.763) in While the correlation between the silt and the band (B/R) was recorded (R2 = 0.730), the ph record (7.8-8.42) as it was classified as a neutral slant to the basal and it was clear from the statistical analysis that there is a relationship with the range (C / B) as it reached (R2 = 0.583). The results showed a decrease in the values of soil samples between (0.2 - 1.7%) and the results of the analysis. 0.114% -0.197%) and the results of the statistical analysis showed the correlation of the range (C/NIR) and gypsum with a correlation value of (R2 = 0.686) in the proportion of lime ranged between (64.5% -21.5%) and the statistical analysis showed a correlation between calcium carbonate and the relativity of the range (C / NIR) as recorded (R2 = 0.513), the results of the analysis of samples from the study samples ranged between (26.86-395.55), and through the statistical analysis it was found that there is a relationship between the rate of sodium adsorption and the ratio of the bandwidth of the satellite visual correlation amounted to (R2 = 0.736), and it ranged The electrical conductivity values for the soils of the study area (5.79 -44.2 dS.m¯1) and it was a correlation (G / R) and the correlation value was (R2 = 0.602), the calcium values in the area. The study ranged between (400-1944 ppm) and the correlation numbering (R2 = 0.640) and the rates of magnesium in the study table ranged, the correlation coefficient (R2 = 0.602), the sodium record between (50-1307 ppm) and the correlation range was (C / NIR) ) Correlation coefficient reached (R2 = 0.920), calcium carbonate ratios were found in the study stations (64.5% -21.5%) and its ratio reached with the range (C / NIR) as the proportion of gypsum in the region was calculated. The correlation coefficient of gypsum and range (C / NIR) was calculated) where it reached (R2 = 0.686), the sodium adsorption ratio (SAR) was calculated and meals were between (26.86-395.5) and there was an association with the range (B / R + NIR) as it was recorded (R2 = 0.737)


2022 ◽  
Vol 8 (1) ◽  
pp. e001219
Author(s):  
Jan H Rosenvinge ◽  
Marcus Smavik Dasa ◽  
Morten Kristoffersen ◽  
Gunn Pettersen ◽  
Jorunn Sundgot-Borgen ◽  
...  

Enduring low energy availability (LEA) is associated with several potentially serious physiological and mental conditions. LEA has been found highly prevalent among female elite athletes within endurance sports, thus hampering athletes’ health and performance. The prevalence and the underpinning risk factors of LEA among female elite football players are less studied. One reason is that the existing self-report measures and technological devices to monitor energy intake and expenditure are inadequately adapted to capture the nature of the physical activity and energy expenditure among football players and are thus inaccurate.The present paper outlines a study protocol addressing the prevalence of LEA, the measurement of LEA and the correlations of LEA in terms of health and performance in female football players. Four studies will be conducted with the following aims (1) to evaluate the accuracy of global positioning systems (GPS)-based devices to monitor energy expenditure with indirect calorimetry as the gold standard, (2) to assess energy intake, quantify energy expenditure and investigate energy availability through self-report instruments, double labelled water (DLW) and GPS monitoring devices, (3) to determine the point prevalence of LEA using self-report instruments, DLW, dual-X-ray-absorptiometry (DXA) to quantify muscle and bone mass distribution and density, and a battery of hormonal analyses, and (4) to explore whether the prevalence of LEA varies across a full football season. Measures covering mental symptoms and psychological resources will be included, and a selection of biological measures derived from study 3.Measurements of DXA and DLW are resource-demanding and will be collected from one professional club (N~20 women). In contrast, the remaining data will be collected from four professional clubs (N~60 women) located in Bergen, the largest city within the Western region of Norway. Overall procedures and biobank storage procedures have been approved for data collection that will end in December 2024.


2022 ◽  
Vol 2161 (1) ◽  
pp. 012022
Author(s):  
N Aswini ◽  
S V Uma ◽  
V Akhilesh

Abstract Now a days, drones are very commonly used in various real time applications. Moving towards autonomy, these drones rely on obstacle detection sensors and various collision avoidance algorithms programmed into it. Development of fully autonomous drones provide the fundamental benefits of being able to operate in hazardous environments without a human pilot. Among the various sensors, monocular cameras provide a rich source of information and are one of the main sensing mechanisms in low flying drones. These drones can be used for rescue and search operations, traffic monitoring, infrastructure, and pipeline inspection, and in construction sites. In this paper, we propose an onboard obstacle detection model using deep learning techniques, combined with a mathematical approach to calculate the distance between the detected obstacle and the drone. This when implemented does not need any additional sensor or Global Positioning Systems (GPS) other than the vision sensor.


Author(s):  
Thejaswini. R

Abstract: A good electrical power system ensures the availability of electrical power without any of the interruption to every load connected to it. Generally the power is transmitted through the high voltage transmission lines. Normally these are the types of the devices which are can be of the batteries or of the ultra-capacitors these devices stores energy as the DC Charges. Here the energy can be obtained from the AC lines which are connected to the grid lines and these can be processed either type can be wired type or the wireless. The processes involved they will work in the reverse direction in which the power present which can be fed back to the grid lines and the batteries which is of the regenerative braking type when the vehicle present in the idle V2G state. Here the typical placement of the various different types of the converters in an EV positioning systems along with the power converting storage type of the devices here the conversion present can be of the DC-AC or DC-DC types. Here the description of the power converter electronic devices are provided and the classification of the AC-AC converters. Index Terms: LLC, SRC , MOSFET, ZVS FB Converter, BCM, OLPT, PMPT, RIPT, V2G.


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