Gandhi Institute of Technology and Management

About: Gandhi Institute of Technology and Management is a education organization based out in Visakhapatnam, Andhra Pradesh, India. It is known for research contribution in the topics: Computer science & Heat transfer. The organization has 3392 authors who have published 4043 publications receiving 29139 citations. The organization is also known as: GITAM & GITAM College.

Drainage morphometry based sub-watershed prioritization of Kalinadi basin using geospatial technology

Abstract: Watershed management is an essential part to achieve sustainability. In the case of large watersheds, management and conservation practices cannot be implemented efficiently over the entire area due to inadequate human resources and financial support. Therefore, prioritizing the sub-watersheds and implementation of management practices would be a viable technique to ensure sustainability within the watershed. In this study, sub-watershed prioritization is carried out for the Kalinadi basin based on erosion susceptibility using morphometric analysis. SRTM DEM is used to extract stream network and delineate the sub-watersheds using ArcGIS software. Further, the Kalinadi basin is divided into eight sub-watersheds and morphometric analysis performed. In the current study, for prioritizing the sub-watersheds, nineteen morphometric parameters are considered which include linear, aerial and relief aspects. The results of linear, aerial and relief parameters of every sub-watershed are given with ranks based on their influence on soil erosion and then subjected to compound parameter analysis which is used to prioritize each sub-watershed. The morphometry-based prioritization findings demonstrate that Sub watershed-8 (SW-8), SW-4 and SW-5 face high risk, SW-6, SW-7 and SW-2 face medium risk whereas SW-3 and SW-1 face a low risk of soil erosion. The results can be used by the decision-making authorities to plan and implement the watershed management practices optimally to control soil erosion.

FUCEM: futuristic cooperation evaluation model using Markov process for evaluating node reliability and link stability in mobile ad hoc network

Abstract: The cooperation between the nodes is one of the potential factor for successful routing in mobile ad hoc networks. The non-cooperative behaviour of the node disturbs the routing as well as degrades network performances. The non-cooperativeness is due to the resource constraint characteristics of a mobile node. The battery energy is an important constraint of a node because it exhausts after some period. On the other side, the mobility of nodes also affects routing performances. Hence, this work concentrates on evaluating cooperation of a node by probing future node energy and mobility. This paper proposes a futuristic cooperation evaluation model (FUCEM) for evaluating node reliability and link stability to establish effective routing. The FUCEM model examines influencing factors of cooperation and state transition of nodes using Markov process. Node reliability and link stability manipulated through the Markov process. The Markov process helps in fixing the upper and lower bounds of the cooperation and calculates the cooperation factor. The NS2 simulator simulates the proposed work and evaluates performance results with different scenarios. The result indicates that the proposed FUCEM has 13–21% higher packet delivery ratio than other algorithms. The remaining energy of the nodes increases to 6–7% as compared with the existing algorithms in a higher mobility scenario. Further, it significantly improves the results of routing overhead and average end-to-end delay than the existing models.

A Hybrid Multiple Criteria Decision Making Technique for Prioritizing Equipments

Abstract: Prioritization of equipment is an important factor for decision making to optimize maintenance management in Reliability Centered Maintenance (RCM). Many factors must be considered as part of the prioritization of equipment for maintenance activities. Consequently, evaluation procedures involve several objectives and it is often necessary to compromise among conflicting tangible and intangible factors. Multiple Criteria Decision Making (MCDM) is a useful approach to solve these problems. In this study, a hybrid model is developed for prioritizing the equipment in hybrid flow systems. The first stage involves identifying the criteria. The second stage is prioritizing the different criteria using fuzzy Analytical Network Process (ANP), in which the weight of each criterion is calculated using modified fuzzy Logarithmic Least Square Method (LLSM) to overcome the criticism of inconsistency, unbalanced scale of judgments, uncertainty and imprecision in the pair-wise comparison process, then finally ranking of equipment using fuzzy Technique for Order Preference by Similarity to Ideal Solution (TOPSIS).