Sanjay Saxena

Voice Automated Mobile Robot

This paper elucidates the research and implementation of voice automated mobile robot. The robot is controlled through connected speech input. The language input allows a user to interact with the robot which is familiar to most of the people. The advantages of speech activated robots are hands-free and fast data input operations. In future, it is expected that speech recognition systems will be used as man-machine interface for robots in rehabilitation, entertainment etc. In view of this, aforementioned system is a source of learning process for a mobile robot which takes speech input as commands and performs some navigation task through a distinct man- machine interaction with the application of the learning. The speech recognition system is trained in such a way that it recognizes defined commands and the designed robot navigates based on the instruction through the Speech Commands. The medium of interaction between humans and computers is on the processing of speech (words uttered by the person). . The complete system consists of three sub- systems, the speech recognition system, a central controller and the robot .we have studied the various factors such as noise which interferes speech recognition and distance factor . The results prove that proposed robot is capable of understanding the meaning of speech commands.

Multithreaded Approach for Registration of Medical Images using Mutual Information in Multicore Environment and its Applications in Medical Imaging

Image Registration plays very crucial role in case of medical imaging to register different modalities of images like CT (Computed Tomography) and PET (Positron Emission Tomography) registration. CT is essential for structural information of anatomic and PET (Positron Emission Tomography) is for functional information. Basically it is the procedure of transforming dissimilar sets of data into one coordinate system. These sets of data can be acquired from multiple image modalities, different viewpoints, similar or dissimilar sensors. MI based image registration has been found to be reasonably useful methods of image registration. However, it is found to be quite computationally intensive and time consuming process for enormous size images and for different data sets of images. It involves steps for computation of joint histogram, marginal entropies, calculation and probability distribution. Main motive of this paper is to provide an intelligent method for image registration based on Mutual Information using multi core environment with maintaining the synchronization between different activated cores and processors. Proposed Method has been able to execute with different number of threads to achieve all the remuneration of the processors and gives significant speedup working with verity of images like gray scale, RGB and Dicom images with different size. Finally the designed algorithm has been used to register medical images of different modalities.