Scientific Publications
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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 (7)
Performance Analysis of AODV with the constraints of Varying Terrain Area and Pause Time in Wireless Sensor Networks using NS-3 Simulator
Mobile Ad Hoc Networks (MANETs) are wireless networks, where there is no requirement for any infrastructure support to transfer data packets between mobile nodes. These nodes communicate in a multi-hop mode; each mobile node acts both as a host and router. The main job of Quality of Service (QoS)[1][2] routing in MANETs is to search and establish routes among different mobile nodes for satisfying QoS requirements of wireless sensor networks as PDR, Average end-to-end delay, Average Throughput. The QoS routing protocols efficient for commercial, real-time and multimedia applications are in demand for day to day activities[2].
A Survey of Modified Support Vector Machine using Particle of Swarm Optimization for Data Classification
Dynamic feature evaluation and concept evaluation is major challenging task in the field of data classification. The continuity of data induced a new feature during classification process, but the classification process is predefined task for assigning data into class. Data comes into multiple feature sub-set format into infinite length. The infinite length not decided the how many class are assigned. Support vector machine is well recognized method for data classification. For the process of support vector machine evaluation of new feature during classification is major problem. The problem of feature evaluation decreases the performance of Support Vector Machine (SVM). For the improvement of support vector machine, particle of swarm optimization technique is used. Particle of swarm optimization controls the dynamic feature evaluation process and decreases the possibility of confusion in selection of class and increase the classification ratio of support vector machine. Particle of swarm optimization work in two phases one used as dynamic population selection and another are used for optimization process of evolved new feature
Quantum Computation: A Review
In the classical model, the fundamental building block is represented by bits exists in two states a 0 or a 1. Computations are done by logic gates on the bits to produce other bits. By increasing the number of bits, the complexity of problem and the time of computation increases. A quantum algorithm is a sequence of operations on a register to transform it into a state which when measured yields the desired result. This paper provides introduction to quantum computation by developing qubit, quantum gate and quantum circuits
SURVEY ON ENERGY EFFICIENCY IN WIRELESS SENSOR NETWORK USING MAC PROTOCOL WITH NETWORK PROTOCOLS
The main objective of this survey paper is to provide a detailed description of Wireless Sensor Networks with Medium Access Control layer and Routing layer. In the medium access control layer, Event Driven Time Division Multiple Access protocol is studied and in Network layer, two routing protocols Bellman-Ford and Dynamic Source Routing are studied.
Induction Motor Fault Diagnosis by Motor Current Signature Analysis and Neural Network Techniques
—Early detection of faults occurring in three-phase induction motors can appreciably reduce the costs of maintenance, which could otherwise be too much costly to repair. Internal faults in three phase induction motors can result in significant performance degradation and eventual system failures. Artificial intelligence techniques have numerous advantages over conventional Model-based and Signal Processing fault diagnostic approaches; therefore, in this paper, a softcomputing system was studied through Neural Network Analysis to detect and diagnose the stator and rotor faults. The fault diagnostic system for three-phase induction motors samples the fault symptoms and then uses a Neural Network model to first train and then identify the fault which gives fast accurate diagnostics. This approach can also be extended to other applications
Designing Geometric Parameters of Axisymmetrical Cassegrain Antenna and Corrugated Horn Feed for Circularly Polarized Communications
This paper presents steps in designing dimensions of antenna and feed in axisymmetrical Cassegrain Antennas. Corrugated conical horns are used as feeds in applications with circular polarization. In the initial design steps, diameter of the main reflector is determined considering communication link budget, then feed dimensions are designed to create optimum aperture efficiency. In the last step of design, considering feed dimensions and the amount of its center phase displacements with respect to its aperture plane, dimensions of subreflector is determined to avoid additional blockage. To illustrate the procedure, an applicative design example is presented in Xband
Design of Ternary Sequence Using MSAA
Pulse Compression Sequence (PCS) are widely used in radar to increase the range resolution. Binary sequence has the limitation that the compression ratio is small. Ternary code is suggested as an alternative. The design of ternary sequence with good Discriminating Factor (DF) and merit factor can be considered as a nonlinear multivariable optimization problem which is difficult to solve. In this paper, we proposed a new method for designing ternary sequence by using Modified Simulated Annealing Algorithm (MSAA). The general features such as global convergence and robustness of the statistical algorithm are revealed