Scientific Publications
Browse our catalog of peer-reviewed scientific articles
Research Categories
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Computer Science & Engineering
Core computing paradigms, algorithm design, software architectures, advanced computing theory, and hardware engineering.
Computer Networks
Network architectures, wireless ad-hoc protocols, vehicular networks (VANET), buffering, and communications.
Electronics Department
Circuits, semiconductor devices, flexible electronics, solar array modeling, signal processing, and photonics.
Civil Engg
Structural analysis, thermal stability of fluid layers, environmental infrastructure, and applied materials engineering.
Recent Publications (2)
IMAGE TRANSFORMATION & DWT BASED IMAGE DECOMPOSITION FOR COVERT COMMUNICATION
ABSTRACT Widely used computer, and therefore require large-scale data storage and transfer, and efficient method of data storage has become necessary. Image compression is to reduce the number of bytes in an image file, without degrading the image quality to an unacceptable level. In reducing the file size to allow more images to be stored in a given amount of memory or disk space. It also reduces the desired image is transmitted from a website via the Internet or downloaded time. Gray image is 256 × 256 pixels of 65,536 Yuan, to store and a typical 640 × 480 colour image of nearly one million. These files are downloaded from the Internet can be very time-consuming task. A significant portion of the image data of the multimedia data comprises they occupy the major portion of the communication bandwidth used for the multimedia communication. Therefore, the development of effective techniques for image compression has become quite necessary [9]. The basic goal of image compression is to find the image representation associated with fewer pixels. Two basic principles used in image compression is redundant and irrelevant. Source Redundancy eliminating redundant and irrelevant omit pixel values rather than by the human eye to detect. International standard for image compression work began in the late 1970s with the CCITT (now ITU-T) requires specification of the binary image compression algorithm facsimile communications. Image compression standard brings many benefits, such as: (1) different image files between devices and applications easily exchanged; (2) the re-use of existing hardware and software products are more widely; (3) the existence of benchmarks and benchmark data sets for new and alternative development.
A Novel Idea of Dynamic Radio Spectrum Management Using Peak Load Pricing Algorithm
The concept of Dynamic Spectrum Access (DSA) will allow the radio spectrum to be traded in a market like scenario allowing Wireless Service Providers (WSPs) to lease chunks of spectrum on a short-term basis. Such market mechanisms will lead to competition among WSPs where they not only compete to acquire spectrum but also attract and retain users. Currently, there is little understanding on how such a dynamic trading system will operate so as to make the system feasible under economic terms. Synthetic monitoring is a good complement when used with passive monitoring that together will help provide visibility on application health during off peak hours when transaction volume is low. Several concepts are reviewed that are central to the design of spectrum management algorithms emphasizing on spectrum charging and allocation. In connection with these concepts and models, the authors suggested a Peak Load Spectrum Charging Algorithm for the Harmonized Usages Band (HUB) operated by the spectrum broker for homogeneous CDMA networks.