Mepco Schlenk Engineering College

About: Mepco Schlenk Engineering College is a based out in . It is known for research contribution in the topics: Wavelet & Wavelet transform. The organization has 1307 authors who have published 1665 publications receiving 18690 citations.

Design of a triangular fractal patch antenna with slit for IRNSS and GAGAN applications

Abstract: In this paper a triangular fractal patch antenna with slit is designed for IRNSS and GAGAN applications using ADS software. India is intended to develop a satellite based navigation systems known as Indian Regional Navigational Satellite System (IRNSS) for positioning applications. Design of IRNSS antenna at user sector is indispensable. GPS Aided and Geo Augmented Navigation (GAGAN), a satellite based augmentation system for India, erect over the GPS system is anticipated to provide the flawless navigation support over the Asia-Pacific regions. The desired antenna has been deliberate on dielectric constant e r = 4.8 and substrate thickness h = 3.05 mm. The feed location of the antenna has been selected to produce the circular polarization. The self-similar property in antenna exhibits multi-band resonant frequencies. These specifications should be satisfied at the frequency L5 (1175 MHz), L1 (1575.42MHz) and S (2492.08MHz).

Multi-constraint multi-objective QoS aware routing heuristics for query driven sensor networks using fuzzy soft sets

Abstract: Display Omitted A fuzzy based routing technique is proposed to enhance the lifetime of randomly deployed homogenous sensor network for query driven applicationsMultiple broadcast query from sink to the sensor nodes considers the routing uncertainties due to link quality, remaining energy and traffic loadRouting individual unicast replies from the sensor nodes to the sink will consider only link quality and remaining energy of each nodeIn the link layer asynchronous scheduling algorithm is used to reduce latency due to time synchronization for network communicationNearest neighbor tree, Fuzzy and A star algorithms are used to find optimal route in the sensor network under energy and bandwidth constraints In this paper, a fuzzy based distributed power aware routing scheme considering both energy and bandwidth constraints, especially for query driven applications in the asynchronous duty-cycled wireless sensor networks are devised The proposed multi-constraint, multi-objective routing optimization approach under strict resource constraints guarantees reliability and fast data delivery along with efficient power management in spite of unreliable wireless links and limited power supply In query driven applications, the request from the sink to the individual sensor node will be a broadcast message, whereas the individual sensor nodes replies back to sink as unicast messages In the proposed work, the fuzzy approach and A Star algorithm are utilized for satisfying energy and bandwidth constraints to route the broadcast messages of the sink while querying all the sensor nodes in the network Every node will be provided with a guidance list, which is used to decide the next best neighbor node with good route quality for forwarding the received multi-hop broadcast messages The route quality of the every node is estimated with fuzzy rules based on the network parameters such as maximum remaining energy, minimum traffic load and better link quality to increase the network lifetime The provision of overhearing the broadcast messages and acknowledgements within the transmission range minimizes the effort to search for the active time of nodes while routing the broadcast messages with asynchronous scheduling Further, in the proposed work only the time slot of its nearest neighbor relay node (to which packets are to be forwarded) is learnt to reduce the number of message transmissions in the network For the unicast message replies, the fuzzy membership function is modified and devised based on the routing metrics such as higher residual energy, minimum traffic loads and minimum hop count under energy and bandwidth constraints Also, the multi-hop heuristic routing algorithm called Nearest Neighbor Tree is effectively used to reduce the number of neighbors in the guidance list that are elected for forwarding This helps to increase the individual sensor nodes lifetime, thereby maximizes the network lifetime and guarantees increased network throughput The simulation results show that the proposed technique reduces repeated transmissions, decreases the number of transmissions, shortens the active time of the sensor nodes and increases the network lifetime for query driven sensor network applications invariant to total the number of sensor nodes and sinks in the network The proposed algorithm is tested in a small test bed of sensor network with ten nodes that monitors the room temperature

Low cost fuzzy logic based speed control of BLDC motor drives

Abstract: In this article, an embedded system approach for closed-loop speed control of BLDC motor drive is implemented and its performance with Proportional Integral control (PI) and fuzzy controllers are investigated. The PI controller is well designed and its parameters are well tuned by using Ziegler Nichols method. The fuzzy controller is also designed and considered for comparison. The performance of the system is studied under various operating conditions, such as sudden change in the reference speed and load torque. For validating the results, steady-state error and rise time are taken in account for comparison. It is observed that fuzzy controller provide a superior speed response compared to PI and better speed tracking make this to fit in adjustable speed drives. The simulation is carried out in MATLAB software and implemented the same in hardware.

Enhancing the Properties of Al–WC Nanocomposites Using Liquid Metallurgy

Abstract: High energy ball milling is employed to fabricate 100–150 nm sized WC which is reinforced with aluminium metal through liquid metallurgy process. Stir casting technique is used to produce the Al–WC composite in which the homogeneous distribution of WC reinforcement particles in Al matrix is obtained. WC is reinforced in the proportion of 2, 4, 6, 8, and 10 % by weight with the aluminium metal matrix to prepare the composites. The results show the steady improvement of the composites properties when compared to the aluminium metal. Thus Al–WC nanocomposites guarantee for high strength, wear resistance, hardness, and exceptional microstructure stability at high temperatures.