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.

A review on Microgrid protection

Abstract: Incorporation of Microgrid (MG) comprising of distributed generators (DGs), in the existing bulk power system has become an inevitable trend. The traditional distribution network designed to operate radially is protected by simple protective devices such as fuses, reclosers and over-current relays (OCRs). This changes the distribution system from single supply radial system to multi-source network which causes the multidirectional power flow and also having significant impact on protection coordination issues. The presence of DG and MG changes the Load-Flow of the overall network and also influences the fault current magnitude and direction. A lot of research work is carried out for improvement of the grid connected distributed generators for the safe and reliable operation of the overall system. This paper proposes a comprehensive review on the traditional protection scheme of the distribution system and the challenges associated with the MG protection system along with the discussion of some alternate protection strategies.

Estimating software maintenance effort: a neural network approach

Abstract: Software maintenance forms an essential component of software development. Its planning includes estimation of maintenance effort, duration, personnel and costs. Adequate information regarding size, complexity and maintainability is however often unavailable. In the present work, a Neural Network (NN) based effort estimator is developed using Matlab. A feed forward back- propagation NN employing Bayesian regularization training is selected and trained for one dataset. Various categories of software maintenance cost drivers and their effect on maintenance effort have been analyzed using different combinations of number of hidden layers and hidden neurons etc. The NN is able to successfully model the maintenance effort as the obtained results are well within the previously published error limits

A review on medicinal properties of Centella asiatica

Abstract: Plant-based drug discovery has drawn the attention of researchers, especially the one used as traditional medicines Centella asiatica is traditional Ayurveda medicine widely used in India and across Asia for treating a variety of diseases The aerial parts and roots are used for medicinal purpose, and its chemical constituents have wide therapeutic applications in areas of antimicrobial, anti-inflammatory, anticancer, neuroprotective, antioxidant, and wound healing activities Many of its uses have been proven scientifically, and bioactive ingredients have been validated In this review, we have done a critical evaluation of available literature looking for the pharmacological importance of C asiatica Further studies will be helpful to discover more bioactive compounds their exact mode of actions

Ni, Co and Ni–Co codoping induced modification in shape, optical band gap and enhanced photocatalytic activity of CeO2 nanostructures for photodegradation of methylene blue dye under visible light irradiation

Abstract: A simple method has been used to synthesize uneven sizes and shapes of CeO2 nanostructures by Ni, Co and Ni–Co codoping without using any surfactant. All the samples were further characterized using X-ray diffraction (XRD), scanning electron microscopy (SEM), high-resolution transmission electron microscopy (HR-TEM), energy dispersive X-ray spectroscopy (EDS), Raman spectroscopy, Fourier transform infrared (FT-IR) spectroscopy, ultraviolet-visible (UV-VIS) spectroscopy and photoluminescence (PL) spectroscopy measurements. The Ni–Co codoped CeO2 nanostructures show broad absorption in the visible range (450–800 nm) as compared to undoped, Ni and Co doped CeO2 nanostructures. The broad absorption feature (visible range) has made it a suitable material for obtaining enhanced photocatalytic activity under visible light irradiation. Further, Ni–Co codoping reduces the value of the optical band gap of CeO2 nanostructures sharply from 3.46 to 2.5 eV. The recombination rate of photo-induced electrons and holes for Ni–Co codoped CeO2 nanostructures is significantly reduced. A more realistic mechanism for superior photocatalytic activity of the Ni–Co codoped CeO2 nanostructures is also proposed. In the CeO2 matrix, the Ni and Co ion sites may act as electron and hole trap centers, which essentially improve the separation efficiency of the photo-induced electrons and holes in the Ni–Co codoped CeO2 nanostructures.