Notes for Vishal

Sources.txt

IP Geofencing :

[1] Venkata  N.  Padmanabhan,  Lakshminarayanan  Subramanian,  “An 
investigation of geographic mapping techniques for internet hosts”, 
Proceedings  of  ACMSIGCOMM,  p.173-185,  August  2001,  San 
Diego, CA, USA 

In this paper, we ask whether it is possible to build an IP address to geographic location mapping service for Internet hosts. Such a service would enable a large and interesting class of location-aware applications. 
This is a challenging problem because an IP address does not inherently contain an indication of location. We present and evaluate three distinct techniques, collectively referred to as IP2Geo, 
for determining the geographic location of Internet hosts. The first technique, Geo Track, infers location based on the DNS names of the target host or other nearby network nodes. 
The second technique, GeoPing, uses network delay measurements from geographically distributed locations to deduce the coordinates of the target host. 
The third technique, GeoCluster, combines partial (and possibly inaccurate) host-to-location mapping information and BGP prefix information to infer the location of the target host.
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CNN based object detection

[2] Sudharshan, Duth P., and Swathi Raj. "Object recognition in images using convolutional neural network." In 2018 2nd International Conference on Inventive Systems and Control (ICISC). IEEE, 2018.
Object detection from repository of images is challenging task in the area of computer vision
and image processing in this work we present object classification and detection using cifar-
10 data set with intended classification and detection of airplain images. So we used
convolutional neural network on keras with tensorflow support the experimental results
shows the time required to train, test and create the model in limited computing system

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