National Institute of Technology, Meghalaya

About: National Institute of Technology, Meghalaya is a education organization based out in Shillong, India. It is known for research contribution in the topics: Control theory & Electric power system. The organization has 503 authors who have published 1062 publications receiving 6818 citations. The organization is also known as: NIT Meghalaya & NITM.

An efficient protocol for load-balanced multipath routing in mobile ad hoc networks

Abstract: In this paper, we propose a new routing protocol called the Least Common Multiple based Routing (LCMR) for load-balanced multipath routing in Mobile Ad hoc NETworks (MANETs) First, we find multiple paths between a source to a destination, when those exist, along with the estimates of the time to route a packet along each of these paths The data packets originating from the source to the destination are then distributed along these multiple paths in such a way that the number of data packets sent along any such path is inversely proportional to the routing time through this path This distribution strategy keeps the load balanced along all the paths so that the overall routing time for sending the data packets is minimized Routes between a given source-destination pair are discovered in a way similar to that in the Ad hoc On-demand Distance Vector (AODV) routing protocol with the difference that instead of the number of hops, the routing time for reaching the destination along every route is measured, and multiple routes, if those exist, will also be determined by the route discovery process Our proposed technique for distribution of packets along different routes is very elegant with a better performance than the existing load-balanced routing protocols like Fibonacci Multipath Load Balancing (FMLB) and Multiple AODV (MAODV), as established from a theoretical analysis as well as through simulation results

Influence of PET fiber geometry on the mechanical properties of concrete: an experimental investigation

Abstract: Polyethylene terephthalate (PET) fibers are generally used as a discrete reinforcement in the substitution of steel fiber for enhancing the tensile strength as well as improving the ductile property of concrete. PET fibers can be produced by hand cutting from PET bottles or through mechanical slitting. Straight slit sheet fibers obtained from the former process normally result in a weak bond with the concrete matrix and they can slip out at low loads. To improve the anchorage effect, three additional PET fibers with varying geometry (flattened end slit sheet, deformed slit sheet and crimped end sheet) were considered in the present study. The influence of fiber geometry on the mechanical properties of cylindrical and prismatic concrete specimens was investigated. The test results show that the fibers’ geometry has a marginal effect on the workability of concrete but a significant contribution to the mechanical properties of concrete.

XSpeed: Accelerating Reachability Analysis on Multi-core Processors

Abstract: We present XSpeed a parallel state-space exploration algorithm for continuous systems with linear dynamics and nondeterministic inputs. The motivation of having parallel algorithms is to exploit the computational power of multi-core processors to speed-up performance. The parallelization is achieved on two fronts. First, we propose a parallel implementation of the support function algorithm by sampling functions in parallel. Second, we propose a parallel state-space exploration by slicing the time horizon and computing the reachable states in the time slices in parallel. The second method can be however applied only to a class of linear systems with invertible dynamics and fixed input. A GP-GPU implementation is also presented following a lazy evaluation strategy on support functions. The parallel algorithms are implemented in the tool XSpeed. We evaluated the performance on two benchmarks including an 28 dimension Helicopter model. Comparison with the sequential counterpart shows a maximum speed-up of almost 7\(\times \) on a 6 core, 12 thread Intel Xeon CPU E5-2420 processor. Our GP-GPU implementation shows a maximum speed-up of 12\(\times \) over the sequential implementation and 53\(\times \) over SpaceEx (LGG scenario), the state of the art tool for reachability analysis of linear hybrid systems. Experiments illustrate that our parallel algorithm with time slicing not only speeds-up performance but also improves precision.