Zobrazeno 1 - 10
of 63
pro vyhledávání: '"R. Ali Abbaspour"'
Publikováno v:
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol X-4-W1-2022, Pp 215-220 (2023)
VGI projects include geographic information, which are the product of many unorganized volunteers, making it a challenge to ensure the quality of their information. In this field of study, several researchers have suggested using intrinsic factors to
Externí odkaz:
https://doaj.org/article/30e3ca0c0eec43a0a488968376387f7c
Publikováno v:
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol X-4-W1-2022, Pp 501-508 (2023)
Continuous progress in navigation, sensor-based, and GPS technologies have made smart devices essential to our daily lives and many location-based applications. However, the trajectory datasets generated by these applications require the management o
Externí odkaz:
https://doaj.org/article/226f40b8d3c44267936ed9c706565757
Publikováno v:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLII-4-W18, Pp 905-912 (2019)
This paper proposes an indoor positioning method using Pedestrian Dead Reckoning (PDR) based on the detection of the mode of the user’s smartphone. In the first step, to determine the mode of carrying the smartphone (Holding, Calling, Swinging) by
Externí odkaz:
https://doaj.org/article/7d84fa9e147e490cadd90f57f59ff727
Publikováno v:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLII-4-W18, Pp 1071-1078 (2019)
Despite years of research on natural hazards and efforts to reduce physical and psychological damage, earthquake as a natural disaster is catastrophic. Though, human is the main axis in dealing with crisis and vulnerability, and since the space of ci
Externí odkaz:
https://doaj.org/article/e6df9ec321514475b0dd6c8c2d1eaaf3
Publikováno v:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLII-4-W4, Pp 381-387 (2017)
Automated fare collection (AFC) systems are regarded as valuable resources for public transport planners. In this paper, the AFC data are utilized to analysis and extract mobility patterns in a public transportation system. For this purpose, the smar
Externí odkaz:
https://doaj.org/article/d7984bdda6354971ae2758377577d150
Publikováno v:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLII-4-W4, Pp 333-339 (2017)
Users planning a trip to a given destination often search for the most appropriate points of interest location, this being a non-straightforward task as the range of information available is very large and not very well structured. The research prese
Externí odkaz:
https://doaj.org/article/51f5fab168704d6e82b78772d08360b1
Autor:
Z. Bahramian, R. Ali Abbaspour
Publikováno v:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XL-1-W5, Pp 83-90 (2015)
A tourist has time and budget limitations; hence, he needs to select points of interest (POIs) optimally. Since the available information about POIs is overloading, it is difficult for a tourist to select the most appreciate ones considering preferen
Externí odkaz:
https://doaj.org/article/d0f2ac88be784e4a85c302b6f1f6090c
Publikováno v:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XL-2/W3, Pp 151-155 (2014)
Knowing the position has been an ambition in many areas such as science, military, business, etc. GPS was the realization of this wish in 1970s. Technological advances such as ubiquitous computing, as a conquering perspective, requires any service to
Externí odkaz:
https://doaj.org/article/6c37514fdabb44c0b511c95cbc954b42
Publikováno v:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLII-4-W18, Pp 905-912 (2019)
This paper proposes an indoor positioning method using Pedestrian Dead Reckoning (PDR) based on the detection of the mode of the user’s smartphone. In the first step, to determine the mode of carrying the smartphone (Holding, Calling, Swinging) by
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bec0abb7a26f2f5c44f4634a24c2689f
https://doi.org/10.5194/isprs-archives-xlii-4-w18-905-2019
https://doi.org/10.5194/isprs-archives-xlii-4-w18-905-2019
Publikováno v:
Annals of GIS. 25:313-327
Spatiotemporal movement pattern discovery has stimulated considerable interest due to its numerous applications, including data analysis, machine learning, data segmentation, data reduction, abnorm...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bba137c59932bac035e2477e43ff314e
https://doi.org/10.1080/19475683.2019.1679254
https://doi.org/10.1080/19475683.2019.1679254