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Advances in applications demanding high data rate wireless applications and existing wireless system upgrading has lead to scarcity in spectrum. Unlicensed new technologies like Digital video broadcast (DVB), Digital audio broadcast (DAB), internet, WiMAX etc. launched recently are reaching thousands of customers at rapid speed. Most of the primary spectrum is assigned, so it is becoming very difficult...
AODV On-demand routing protocol is widely deployed in Ad Hoc networks, but it has some drawbacks. This paper proposes to modify the AODV protocol called AODVSRR algorithm. By calculating the route stability process to the RREQ message and the route repair mechanism to the RREQ message, the new protocol not only reduces the packet loss rate and the end-to-end latency, but also enhances the utilization...
This paper presents a new approach to equalization of communication channels using Functional Link Artificial Neural Networks (FLANNs). A novel method of training the FLANNs using PSO Algorithm is described. The performance of the proposed network has been compared with the conventional LMS based channel equalizer and FLANN trained with BP algorithm based equalizer. From the results it can be noted...
Flash memories have found extensive application for use in portable storage devices. They have been used for code storage as well as data storage. The storage density associated with these devices has increased tremendously in the past few years. This has necessitated very dense packing of data bits on the device. This gives rise to increased Raw Bit Error Rate (RBER) as a result of Inter Symbol Interference...
Future wireless network must be able to coordinate services within a diverse network environment. One of the challenging problems for coordination is the selection of optimal network depending upon the type of demanding application. There are different types of Internet applications and network interfaces. The quality of service requirement varies from one application to another. The present work...
This paper highlights the use of Calibration Constant of Test & Measuring (T&M) equipment derived during calibration process, in measurement inference. The equipment user is much interested to find the true value of measurand against the measured quantity. In this paper, the Best-fit-curve is proposed to model a set of test results obtained during calibration by Least Square Error (LSE) based...
Silicon piezoresistors are widely used for making microsensors like pressure sensors, accelerometers etc. A major problem associated with piezoresistive sensors is their dependence of resistance with respect to temperature. This paper proposes a novel low-cost technique to compensate for the temperature dependence of piezoresistive sensor configured in a Wheatstone bridge. A calibration algorithm...
Color Images captured under complex lighting conditions may suppress the visual cue information. In order to perform consistent analysis from the images they need to be enhanced in terms of brightness along with colors restored with minimal computational overhead. Transform domain image enhancement offers a superior visual brilliance. This paper presents Hirschman Optimal Transform (HOT) based enhancement...
This paper introduces the use of a new method of feature extraction for robust text-independent speaker identification. The focus of this work is on applications which yield higher identification accuracy without increasing the computational effort. The impetus for this new feature extraction technique comes from a new transformation which is based on the Nyquist filter bank. We have proposed this...
Clustering is a form of unsupervised classification that aims at grouping data points based on similarity. In this paper, we propose a new partitional clustering algorithm based on the notion of `contribution of a data point'. We apply the algorithm to content-based image retrieval and compare its performance with that of the k-means clustering algorithm. Unlike the k-means algorithm, our algorithm...
In this paper we propose a novel algorithm for object tracking from Video images based on segmentation and Kernel based procedure. Many Kernel based object tracking algorithms have been developed during last few years. The computational complexity becomes very high in those kernel based techniques. In our proposed method the target localization problem is minimized using segmentation technique, instead...
Automatic identification of a script in a given document image facilitates many important applications such as automatic archiving of multilingual documents, searching online archives of document images and for the selection of script specific OCR in a multilingual environment. In this paper a Zone-based Structural feature extraction algorithm scheme towards the recognition of South-Indian scripts...
In recent years, Gabor filters have found effective for feature extraction as they possess many properties such as tunable to specific orientation, spectrally localized, spatially localized etc. In this paper, a rotation invariant object recognition system is proposed using Gabor filters. A set of Gabor filters are considered and directional features are extracted from an image. A Gabor Vector Set...
Within a carbon constrained world, the proportion of generation from nonconventional renewable energy sources in the generation mix of power systems, is expected to increase substantially. The generation from renewable sources, connected to power networks mostly at distribution level, will change the traditional power flow patterns and produce adverse power fluctuations due to its random nature. Although...
Clock inaccuracies cause serious problems and troublesome in distributed systems. The clocks of different processors need to be synchronized to limit errors. This is to have an efficient communication or resource sharing. Hence the clocks need to be monitored and adjusted continuously. Otherwise, the clocks drift apart. Similarly clock skew also introduces mismatch in time value of two clocks. Both...
This paper evaluates the end-to-end performance of a CDMA based static multi-hop wireless sensor network (WSN) in shadowed environment. An interference model for multi-hop is presented using correlated interferers. Three different information delivery mechanisms are studied using regenerative relays with or without error correction capability. Energy requirement for successful delivery of a data packet...
The major medium access control (MAC) layer protocol design challenges for wireless body area network (WBAN) involve Quality of Service assurance for high reliability and guaranteed latency requirement for real time data, especially vital signs that needs a deterministic structure with special care for emergency reaction alarm; flexibility since it must support various types (periodic, non-periodic,...
This research work focuses on Integer Linear Programming (ILP) formulations for the Routing and Wavelength Assignment (RWA) problem in Wavelength Division Multiplexed (WDM) networks where end-users communicate with each other by establishing all-optical, non-interfering wavelength channels which are referred as lightpaths. The RWA problem is reducible to Graph Coloring problem in polynomial time and...
Study on a multimode plastic optical fiber as a cost effective alternative for expensive glass fiber is presented. An analysis of PMMA (Polymethylmetacrylate) and PFBVE (Perfluoro-butenylvinylether) plastic fibers was carried out in order to evaluate their characteristics and to evaluate their capability to be used in some specific applications. Based upon the results, two copper to fiber media converters...
This paper presents an RF frontend architecture for wideband software defined radio to function in 400 MHz to 3.5 GHz frequency range. In wideband frontends, devices with high linearity are used to lower the level of IM products. There are different front-end architectures available for catering to wideband operation. However, some of these, particularly the wideband ones suffer with IM problem. This...
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