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Zumberge J. F., Heflin M. B., Jefferson D. C., Watkins M. M., Webb F. H. Precise point positioning for the efficient and robust analysis of GPS data from large networks, J. Geophys Research , Vol. 102, No.B3
. Road safety conditions of municipal roads operation: identification of accident black-spots with GPS coordinates, (in Hungarian) , Thesis on Post Graduate Course about Transport Engineering Technology , Széchenyi István University, 2016
Mosavi M. R., Akhyani A. A., Rahmati A. (2012), A PMU placement optimal method in power systems using modified ACO algorithm and GPS timing. Iran University of Science and Technology, Przeglad Elektrotechniczny (Electrical Review), ISSN 0033-2097, 88
The paper presents a photovoltaic system auto sizing algorithm with irradiance and shading calculation, which uses the photovoltaic geographical information system database. This calculation step is a very labor intensive task, which require a lot of iterative design time to find the optimum alternative. Based on measurement data, monthly irradiance correction matrixes are simulated to completely describe the yearly irradiance loss caused by shading of the nearby objects. As result, a function between the shaded area and the yearly energy loss can be obtained. Furthermore, photovoltaic modules can be auto-allocated on a given area according to the boundary conditions. Taking into consideration the photovoltaic installers’ pricing system, a complete photovoltaic auto-sizing algorithm can be presented, which greatly reduces the time spent on quotation writing. This paper also includes a battery energy storage sizing algorithm according to the given economic conditions, which extends the capability of the photovoltaic system auto-sizing algorithm.
the body in three-dimensional space. Knowing that these techniques utilize data obtainable by electronical systems such as GPS (global positioning system) [ 1 , 2 ], IMU (Inertial Measurement Unit) sensors [ 3 , 4 ], and MARG sensors [ 5 , 6
administrative map, and rainfall data. Twenty-nine years of rainfall data ranging from 1983 to 2011 were obtained from Nigeria Meteorological Agency. The major analytical tools include Google Earth, ArcGIS, and Global Positioning System (GPS). The ArcGIS desktop
, computers, and conducted soil tests to examine the protection of the groundwater. Similarly, they wrote about Global Positioning System (GPS) system irrigation approaches, automatic field machine technology, sensing techniques, Geographic Information System
addition to the aforementioned basic hardware, some advanced drone structures may also include Global Positioning System (GPS) modules. In literature, there are several works analyzing the design process of drones. In [ 1–4 ], detailed analysis have been
-SR04 GPS Component GY-NEO6MV2 3.2 Pre-processing Captured waste images contain excess noise while transmitting. The presence of unwanted interference can reduce the image quality. Hence, image pre-processing technique is the basic method for eradicating
Beutler G., Bauersima I., Gurtner W., Rothacher M., Schildknecht T., Geiger A. Atmospheric refraction and other important biases in GPS carrier phase observations, In monograph 12, ‘Atmospheric Effects on Geodetic Space
