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This paper contains early work on how GOSAM, a learning based unconstrained optimization technique that we had proposed in previous work, can be extended to the constrained optimization domain. The algorithm, termed as a global optimizer using support vector regression based adaptive multistart (GOSAM), yielded highly encouraging results for unconstrained benchmark optimization problems
In this paper, we show that the efficiency of LSA is significantly controlled by the choice of weighting algorithm applied. These weighting algorithms allocate relative importance to the document attributes (e.g. keywords) based on their occurrences in the corpus. Effects of different weighting algorithms are the central point of this paper. We experimented with various weighting algorithms to evaluate...
This paper presents a novel variable step-size LMS (VSLMS) algorithm for tracking a discrete-time fractional Brownian motion that is inherently non-stationary. In the proposed work, one of the step-size values requires time-varying constraints for the algorithm to converge to the optimal weights whereas the constraints on the remaining step-size values are time-invariant in the decoupled weight vector...
In this paper, a novel active queue management (AQM) control law using modified Smith predictor is proposed. The proposed method provides a stable response for a TCP flow dynamics which is highly oscillatory or unstable under practical conditions. The controller decouples the setpoint response from the load response. The proposed control scheme can track the desired buffer level and reject any additional...
A formulation is proposed for construction of PRFB from a given non-PRFB and is described using vector space framework for filter banks. To construct PRFB, a transmultiplexer (TMUX) structure is inserted into the subband such that the synthesis and analysis parts of the TMUX are biorthonormal to analysis and synthesis bank of the given filter bank. The TMUX is a represented by transformation matrix...
Online estimation of state variables that are difficult or expensive to measure has been a widely studied problem. But those measurements are needed in a variety of engineering applications such as condition monitoring, fault diagnosis and process control. An observer can be designed to produce an estimate xcapped(k) of the state x(k) by making use of relevant process inputs, outputs and process knowledge...
Frequent set mining (FSM), an important phase of association rule mining, is the process of generating frequent sets that satisfy a specified minimum support threshold. This paper explores FSM in temporal data domain or FTP mining and proposes an efficient algorithm for the same. Existing algorithms for FTP mining are based on a priori's level wise principle. In conventional or transactional data...
This paper has considered the problem of distributed diagnosis in dynamic fault environments for not-completely connected network topologies under crash and value fault assumptions. Heartbeat based mechanisms are used to detect the failure and recovery event at a particular node. A diagnosis algorithm has been simulated and the results are presented. The result shows that failure and recovery events...
In this paper a multi-model approach based fault detection and identification has been proposed. Takagi-Sugeno dynamic model has been used in this paper to describe the nonlinear dynamic system using locally linearized linear models. The augmented local linear models function as state and fault parameter estimator and the overall state and fault parameter estimation is a non-linear combination of...
This paper proposes a generation mechanism for cyclostationary and self-similar processes. The proposed model extracts the information from the immediate coarser scale and adds the innovations to it to obtain the finer scale representation of the stochastic process. Basic block of the proposed model is the subband coder. By cascading the blocks of subband coder and passing white noise as one of input...
The software industry has been plagued by the staggering failure rate of projects, which have resulted in the loss of billions of dollars. The industry has realized that the solution lies in fixing the software process. Hence the processes have been built for development of the systems. The implementation process has still not gained that much importance. Hence problems are faced in moving the systems...
Self-healing approach enables sensor network configuration robust to node failures. Fault-tolerance of k-connected network can be achieved using threshold of critical transmission range and node density. A self-healing scheme for clusterhead failure in k-connected cluster sensor network is presented in this work. Clusterhead failure triggers re-clustering in existing clustering schemes for wireless...
IEEE 802.11 standard is being widely used for providing wireless networking capability for a variety of applications. Though the standard has been developed primarily to provide data communication capability, it is becoming a popular tool for voice communications as well. The reasons for this interest are two fold; one is widespread availability of WLAN networks and the other is the low cost of making...
In this paper, we present a novel and simple technique for signal conditioning of EOG signals which primarily involves denoising corrupted signals and post-processing for signal enhancement. Researches in the past have mainly focused on the EOG signals where the problem of removal of ocular artifacts from the electroencephalogram was dealt. We present, from a new perspective, a scheme which essentially...
In this paper, we present a new reactive routing protocol that we call optimal reactive routing protocol (ORRP). The proposed protocol does not require global periodic advertisement of routing messages like the proactive approaches. At the same time, ORRP guarantees optimal path solution. The protocol uses the Dijkstra's shortest path routing algorithm. The demand on the overall bandwidth available...
This paper presents the simulation and real time hardware implementation of shunt active power filter in analog devices DSP (ADMC401) environment. The synchronous detection method is applied to calculate compensating currents while the three phase source is feeding a highly non-linear load. Synchronous detection algorithm is capable of working under both balanced and unbalanced source voltages. The...
This paper presents neural based proportional integral (PI) control applicable for active power filters for single-phase system, which are comprised of multiple nonlinear loads. The system consists of an uncontrolled rectifier and AC controller as the non-linear loads, with an active filter to compensate for the harmonic current injected by the load. The active filter is based on a single-phase inverter...
In this paper, design of a quarter wave transformer-fed circular patch antenna is presented. The maximum size of proposed antenna is 25.4 mm by 25.4 mm. The substrate material used for this antenna has thickness of substrate 0.762 mm and relative permittivity epsivr 3.2. The design frequency of the antenna is 10 GHz. By selecting optimum parameters of proposed antenna, the measured return loss of...
In this paper design and fabrication of microstrip line fed aperture coupled patch antenna is presented at 10 GHz using 0.762 mm and .508 mm thick (epsivr=3.2) substrates. The maximum size of proposed antenna is 35.4 mm by 35.4 mm. The design is optimized by means of parameter-variation studies that have been performed using a 3D electromagnetic simulator. A novel bandwidth enhancing network is described,...
Grid infrastructure supports services on demand. Computational grids connected in a service oriented way thus forming virtual enterprises need several security measures to be undertaken. We have worked on several security measures like single sign-on through layered authentication model, dynamic token based authentication, privacy protection. In this paper, we try to simulate our observations using...
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