Thapar University

About: Thapar University is a education organization based out in Patiāla, Punjab, India. It is known for research contribution in the topics: Cloud computing & Fuzzy logic. The organization has 2944 authors who have published 8558 publications receiving 130392 citations.

Impact of seismic factors on landslide susceptibility zonation: a case study in part of Indian Himalayas

Abstract: Landslides are one of the most widespread natural hazards in high mountain terrains such as the Himalayas, which are one of the youngest tectonically and seismically active mountain ranges in the world. The crustal movements along the longitudinal thrusts and transverse faults give rise to earthquakes and in turn initiate landslides in the region. In fact, in addition to various static factors causing landslides, earthquakes are one of the major causes of landslides. It is thus imperative to incorporate seismic factor also while carrying out landslide susceptibility zonation map preparation in a seismically active areas like Garhwal Himalayas. In this paper, a study on the effect of earthquakes on landslide susceptibility zonation has been demonstrated by taking Chamoli earthquake as an example.

Load Balancing and Job Migration Techniques in Grid: A Survey of Recent Trends

Abstract: Grid computing has recently become one of the most important research topics in the field of computing. The Grid computing paradigm has gained popularity due to its capability to offer easier access to geographically distributed resources operating across multiple administrative domains. The grid environment is considered as a combination of dynamic, heterogeneous and shared resources in order to provide faster and reliable access to the Grid resources, the resource overloading must be prevented which can be obtained by proper load balancing and job migration mechanisms. This paper presents an extensive survey of the existing load balancing and job migration techniques proposed so far. A detailed classification has also been included based on different parameters which are depending on the analysis of the existing techniques, a new Load balancing technique, along with Job Migration approach has been proposed and discussed to fulfill the existing research gaps.

Symmetrical and Asymmetrical Reduced Device Multilevel Inverter Topology

Abstract: This article presents a single-phase symmetrical and asymmetrical multilevel inverter (MLI) topology. The presented topology can generate 9-level output voltage in a symmetrical configuration and 13- and 17-level output voltage in asymmetrical configuration with a single cell. The number of output levels can be improved further by increasing either the number of cells or switches in a single cell. The presented topology contains the least number of dc sources, semiconductor switches, capacitors, and diodes compared with classical and recently proposed topologies. Reduction in component count decreases the size, complexity, and cost of the overall converter. A detailed comparison has been done of the presented topology with the recently proposed topologies in terms of dc sources, semiconductor switches, capacitor, and total blocking voltage. Finally, to validate the presented concept, the prototype of the presented 9-, 13-, and 17-level MLI topologies has been tested in the laboratory for different switching frequencies, different modulation indexes, sudden load changes, and nonlinear load.