Bøger af Polepogu Rajesh

Biometric based systems has revolutionized today¿s hi technology market in areas like Passport offices, Ration Identification Cards, Voter Identification Cards, PAN cards etc. The explosive growth of technology has resulted in ¿skimming¿ and ¿eavesdropping¿. Two fundamental operations performed by a digital camera are image capturing and storing. In this book, an image is captured using a digital camera and image data is processed using MATLAB 8.2 which is given as an input to the VHDL code. Security code is developed using AES-128 (Advanced Encryption Standards) based on Rijndael algorithm. The complete security design is being to be developed using HDL and active HDL functional simulation was performed, then the design was synthesized using Xilinx-ISE. In this book, all the blocks of the security system are designed based on Rijndael algorithm.

Automobiles and computing technologies are creating a new level of data services in vehicles. The Automobile Black Box has functions similar to an airplane black box. It is used to analyse the cause of vehicular accidents and prevent the loss of life and property arising from vehicle accidents. This book proposes a prototype of an Automobile Black Box System that can be installed into vehicles. The system aims to achieve accident analysis by objectively tracking what occurs in vehicles. The system also involves enhancement of security by preventing tampering of the Black Box data. In addition, the Black Box sends an alert message to a pre-stored mobile number via Short Message Service (SMS) in the case of occurrence of an accident.The proposed system makes use of 7 sensors to record the various driving data parameters. The Raspberry Pi controller (RPi) and Arduino controllers are used to regulate these sensors. The data received from the sensors are stored on the SD card mounted on RPi for retrieval after the accident. The system uses external sensors such as camera and Global Positioning System (GPS) to collect video and location data.

This book describes a preliminary study of detection of different types of leukemia using microscopic blood sample images. Analyzing through images is very important as diseases can be detected and diagnosed at earlier stage. From there, further actions like controlling, monitoring and prevention of diseases can be done. Images are used as they are cheap and do not require expensive testing and lab equipments. The system focuses on white blood cells disease, leukemia. The system will use features in microscopic images and examine changes on texture, geometry, colour and statistical analysis. Changes in these features will be used as a classifier input. A literature review has been done and Reinforcement Learning is proposed to classify types of leukemia. A little discussion about issues suggested by researchers has also been presented..