Abstract The discrete spatial information set is grouped and modified the original points to arrive for the protection of Geomasks. We have developed Adaptive Voronoi Masking which relies on Adaptive Aerial Elimination (AAE) and Voronoi Masking and it serves a potential alternative. It uses the population density by establishing areas of K-anonymity in which Voronoi polygons are created. AVM uses the... The discrete spatial information set is grouped and modified the original points to arrive for the protection of Geomasks. We have developed Adaptive Voronoi Masking which relies on Adaptive Aerial Elimination (AAE) and Voronoi Masking and it serves a potential alternative. It uses the population density by establishing areas of K-anonymity in which Voronoi polygons are created. AVM uses the underlying topography and displaces data points to street intersections. This process enables the decreases the risk of false-identification since residences are not endowed with a data point. We in the work further assessed the geomasking effects of AVM by many spatial analytical results and compared with the outputs of AAE, VM, and Donut Masking (DM). We found that the VM attains the best efficiency for the mean centres whereas DM does for the median centres. DM proved to the strongest performance since its cluster ellipsoids and clustering distance are the most similar to those of the original data. Finally, we found that the AVM was ranked as 2nd in terms of data utility (i) and also outperforms all methods regarding the risk of false re-identification. AVM is found to be an advantageous technique to mask geodata which is assessed with the help of the performance combination of all the factors. Read More Read Less

Abstract The roads which are characterized by green effect are preferred by both pedestrians as well as by vehicle drivers. Using openrouteservice, we have evaluated the green routes and find the extent of greenery in these roads. With the help of OpenStreetMap, we have measured the greenness in the roads for which we used imagery and three dimensional data. . We... The roads which are characterized by green effect are preferred by both pedestrians as well as by vehicle drivers. Using openrouteservice, we have evaluated the green routes and find the extent of greenery in these roads. With the help of OpenStreetMap, we have measured the greenness in the roads for which we used imagery and three dimensional data. . We studied the impact both at the level of the individual route and at the urban level for then cities. For individual routes, we find how strongly green routes differ from the respective fast routes. Besides, we measured the parts of the road network which represent important green corridors as well as unattractive parts which can or cannot be avoided at the cost of reasonable detours. During analysis we found that the significance of green spaces for the provision of attractive green routes and provide new insights for urban planning. Read More Read Less

Abstract In this work we studied the formation cloud structures for the communication by using IoT embedded systems. We have used the sensors data and applied it for cloud structure visualization. We used the steps and the nodes that are useful for designing the IoT cloud.... In this work we studied the formation cloud structures for the communication by using IoT embedded systems. We have used the sensors data and applied it for cloud structure visualization. We used the steps and the nodes that are useful for designing the IoT cloud. Read More Read Less