Motilal Nehru National Institute of Technology Allahabad

About: Motilal Nehru National Institute of Technology Allahabad is a education organization based out in Allahabad, Uttar Pradesh, India. It is known for research contribution in the topics: Computer science & Control theory. The organization has 2475 authors who have published 5067 publications receiving 61891 citations. The organization is also known as: NIT Allahabad & Motilal Nehru Regional Engineering College.

Modeling Arsenic(V) Removal from Water by Sulfate Modified Iron‐Oxide Coated Sand (SMIOCS)

Abstract: The batch kinetics of arsenic(V) on a novel media developed by coating BaSO4 and Fe on quartz sand, known as sulfate modified iron‐oxide coated sand (SMIOCS), was investigated. Batch rate data were analyzed using active available site and chemical reaction rate models. The batch kinetic data were a better fit on an active, available site model as compared to a chemical reaction rate model. The media was characterized for certain chemical properties and surface area. The media showed alkali resistance with the presence of iron, barium, and sulfur on the surface. The Langmuir and Freundlich isotherm equations could be used to describe the partitioning behavior of system at different pH. The removal of As(V) on SMIOCS was pH dependent and maximum removal was observed in acidic pH range. The variation in ionic strength and chloride (Cl−) concentration in the solute do not play a significant role in As(V) removal efficiency but major anions showed some reduction in As(V) removal efficiency. A very sma...

An automated early diabetic retinopathy detection through improved blood vessel and optic disc segmentation

Abstract: This paper presents an automated early diabetic retinopathy detection scheme from color fundus images through improved segmentation strategies for optic disc and blood vessels. The red lesions, microaneurysms and hemorrhages are the earliest signs of diabetic retinopathy. This paper essentially proposes improved techniques for microaneurysm as well as hemorrhages detection, which eventually contribute in the overall improvement in the early detection of diabetic retinopathy. The proposed method consists of five stages- pre-processing, detection of blood vessels, segmentation of optic disc, localization of fovea, feature extraction and classification. Mathematical morphology operation is used for pre-processing and blood vessel detection. Watershed transform is used for optic disc segmentation. The main contribution of this model is to propose an improved blood vessel and optic disc segmentation methods. Radial basis function neural network is used for classification of the diseases. The parameters of radial basis function neural network are trained by the features of microaneurysm and hemorrhages. The accuracy of the proposed algorithm is evaluated based on sensitivity and specificity, which are 87% and 93% respectively.

Electrical discharge machining–based hybrid machining processes: A review

Abstract: Electrical discharge machining is one of the widely used noncontact-type advanced machining processes in which material removal takes place due to melting and vaporization by thermal energy of electric sparks. Electrical discharge machining has the capability of machining difficult-to-cut materials such as superalloys, advanced ceramics, and composites with complex shapes at both macro- and micro-levels. But its application is limited to electrically conductive materials. Other limitations include low material removal rate, high tool wear rate, recast layer formation, and geometrical inaccuracy in the form of taper and overcut. To overcome such limitations, the mechanism of electrical discharge machining has been combined with the mechanism of one or more other machining/physical/chemical processes. The mechanism of two constituent processes may be applied simultaneously or sequentially to constitute the hybrid machining process. It has been found that the performance of hybrid machining processes is bett...