- #GOOGLE MAPS KILOMETRE HESAPLAMA FOR FREE#
- #GOOGLE MAPS KILOMETRE HESAPLAMA FULL#
- #GOOGLE MAPS KILOMETRE HESAPLAMA DOWNLOAD#
Increased maximum size for the Quick Find optionĪdded square nautical miles output.
Allow area fill and perimeter color to be changed after the area has been added. Saved Areas : Allow them to be loaded or unloaded independently. Option to subtract sub area from main area. The ability to select an area as an entirety and drag it around, copy/clone/duplicate it. 
Allow different color schemes for additional areas rather than just one (+2).Allow export of lengths of perimeter sides.Allow upload a KML file and calculate any areas of polygons inside.Allow multiple areas to be added to a project, saved then loaded afterwards.
#GOOGLE MAPS KILOMETRE HESAPLAMA FULL#
s - Toggle Full Screen Off and On - Windows : (Alt+s) - Mac (Ctrl+Alt+s).t - Toggle Markers - Windows : (Alt+t) - Mac (Ctrl+Alt+t).z - Zoom to fit - Windows : (Alt+z) - Mac (Ctrl+Alt+z).n - Create New Area - Windows : (Alt+n) - Mac (Ctrl+Alt+n).a - Clear All Points - Windows : (Alt+a) - Mac (Ctrl+Alt+a).l - Delete Last Point - Windows : (Alt+l) - Mac (Ctrl+Alt+l).Once you confirm your email, you will be able to save and load maps while logged in.
#GOOGLE MAPS KILOMETRE HESAPLAMA FOR FREE#
You can create an account for free from which you can save and load saved areas unique to you. You can then copy and paste these to an external system. Click to export a list of latitude and longitude coordinates to a text box below the map.You can adjust the map size by clicking Small, Medium, Large or Full Screen.Click to start drawing anew area whilst keeping any existing areas on-screen.
#GOOGLE MAPS KILOMETRE HESAPLAMA DOWNLOAD#
From this link, you can download your KML file Once you click this option, after a short delay, a hyperlink "Download KML File Here" will appear. Click to generate a KML file representing the last area drawn.
Click to remove the last point clicked. The calculated area will then be displayed below the map. Click multiple times around the map to define an area. Conclusively, nearest insertion which utilises lesser execution time and shorter distance covered is found to be more efficient and better than nearest neighbour approach. The total distance covered by nearest neighbour are : 7584, 8946, 8835, 8196, 7946, 7156, (in km) respectively and the distance covered by nearest insertion are : 8246, 8509, 8574, 7227, 7946, 7156, (in km) respectively. A sample of six cities were taken and nearest neighbour’s execution time for the six cities are: 59, 60, 63, 97, 58, 77, (in ms) respectively and for nearest insertion are: 137, 68, 48, 55, 45, 57, (in ms) respectively. The algorithms were implemented using c# programming language of the dot Net framework. This work adopts the nearest neighbour and nearest insertion algorithm to solve the well- known travelling salesman problem. In other words, the problem deals with finding a route covering all cities so that total distance and execution time is minimized. The travelling salesman problem (TSP) is a combinatorial optimization problem in which the goal is to find the shortest path between different cities that the salesman takes. We also present a thorough analysis of the implemented algorithm for several cases using different parameter values. The parallel genetic algorithm devised for GPUs has been compared to the alternative algorithms and found to be promising in terms of speed-up. The proposed approach is based on converting the problem into Traveling Salesman Problem which is solved using Genetic Algorithms on Graphical Processing Unit (GPU). This study presents an approach to find a near-optimal solution to the flight route planning problem. Due to the combinatorial nature of the problem it is impractical to devise a solution using brute force approaches. The optimal flight route planning manages to find a tour passing through all of the waypoints by covering the minimum possible distance. A flight route may consist of hundreds of predefined geographical positions called waypoints. Flight route planning operation has to be done before the actual mission is executed. The route that the aerial reconnaissance vehicle will follow is known as the flight route. Aerial surveillance missions require a geographical region known as the area of interest to be inspected.
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