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Suresh, M. B.
- Ad-Hoc Message Routing Algorithm for Bluetooth Nodes-Challenges and Design Approach
Authors
1 East West Institute of Technology, Bangalore, IN
2 Adhiyamaan College of Engineering, Hosur, IN
3 Bharatrathna Indira Gandhi College of Engineering, Solapur, IN
Source
Wireless Communication, Vol 3, No 3 (2011), Pagination: 177-182Abstract
Bluetooth has become an extremely popular technology in Wireless Personal Area Networking (WPAN), and is being extensively used for wide range of applications in which the communicating devices are in range of each other, forming a piconet. On the other front, Mobile Ad-hoc Networks (MANet) are being envisioned to provide a self-configuring network of randomly moving nodes, which would assist each other in increasing the range of the network and giving rise to a whole new set of applications. But a MANet routing system using Bluetooth devices poses a lot of challenges and not sufficient research work is yet available in this regard. In this paper the key challenges involved in Mobile Ad-hoc Networks (MANet) over Bluetooth are analyzed. Also, the characteristics of the Bluetooth technology that can be adopted to address the challenges are described. In addition, a design approach for an efficient mobile ad-hoc routing algorithm for Bluetooth nodes is presented.Keywords
Bluetooth, Ad-hoc Routing, JSR82, Inquiry, Unicast, Broadcast.
- Secured Image Compression Using Gradient Decent Based ANN Learning
Authors
1 Department of Information Science & Engineering, East West Institute of Technology, Bangalore, IN
2 East West Institute of technology, Bangalore, IN
Source
Digital Image Processing, Vol 5, No 3 (2013), Pagination: 98-102Abstract
It is well known that the classic image compression techniques such as JPEG and MPEG have serious limitations at high compression rate; the decompressed image gets really indistinguishable. Recent image compression techniques like Genetic algorithm based ANN could not perform well at high compressed rate and finally it leads to poor convergence rate and quality of the image is not good. In this paper, we investigate the performance of ANN with Gradient Decent in the application of image compression for obtaining optimal set of weights. Direct method of compression has been applied with neural network to get the additive advantage for security of compressed data and also this method can be applied for different formats of the image. The experiments reveal that the standard BP with proper parameters provide good generalize capability for compression and is much faster compared to earlier work in the literature, based on cumulative distribution function.Keywords
Image Compression, Genetic Algorithm, Gradient Descent, Neural Network, Back Propagation.- Automatic Text Extraction in a Complex Background and Different Font Styles Regions of Moving Videos
Authors
1 East West Institute of Technology, Bangalore, IN
2 Adhiyamaan College of Engineering, Hosur, IN
3 Bharatrathna Indira Gandhi College of Engineering, Solapur, IN
Source
Digital Image Processing, Vol 3, No 3 (2011), Pagination: 145-148Abstract
Efficient content based retrieval of image and video databases is an important emerging application due to rapid proliferation of image and digital video data on the internet and corporate intranets and exponential growth of video content in general. Text either embedded or superimposed within video frames is very useful for describing the semantic content of the frames, as it enables both keyword and free-text based search, automatic video logging, and video cataloging. Extracting text directly from video data becomes especially important when closed captioning or speech recognition is not available to generate textual transcripts of audio or when video footage that completely lacks audio needs to be automatically annotated and searched based on frame content.
Towards building a video query system, developed a scheme for automatically extracting text from digital image and videos for content annotation and robust text extract which can handle complex backgrounds in video frames, deal with different font sizes, font styles, and font appearances such as normal and inverse videos. The algorithm results in segmented characters from video frames that can be directly processed by an OCR system to produce ASCII text. Results from the experiments obtained from MPEG video streams demonstrate the good performance if our systems in terms of text identification accuracy and computational efficiency.
Keywords
Video, Digital Images, Content-Based Search and Annotation, Automatic Text Extraction, Image Segmentation, Character Recognition.- SDS Technique for Secret Image Encryption
Authors
1 Department of Information Science & Engineering, East West Institute of Technology, Bangalore, IN
2 Department of Computer Science & Engg in SRSIT, Bangalore, IN
Source
Biometrics and Bioinformatics, Vol 6, No 2 (2014), Pagination:Abstract
In this paper we study the approach of image encryption using the concept of image SDS that is sieving, dividing and shuffling. We have two approaches for encrypting images that is using algorithm and keys and second approach is dividing the image into shares for secrecy. And is discussed above that is SDS technique. Since the first approach suffered from some disadvantages that may have the key size is limited and cost of building the secure algorithms. Hence in this paper we are adopting the second approach for securing the image. The output image recovered after applying the second approach will be of good quality image.