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.

Adaptive fuzzy model identification to predict the heat transfer coefficient in pool boiling of distilled water

Abstract: In this paper, a modeling technique based on fuzzy system is used to predict the heat transfer coefficient in pool boiling of distilled water. To achieve this, an experimental investigation has been carried out for saturated boiling of distilled water from plain copper heating tube surface at atmospheric and sub-atmospheric pressures. An empirical correlation has been established to predict the boiling heat transfer coefficient. Further, the experimental data has been compared with those determined from the zero-order adaptive fuzzy model with heat flux as input variable. The representation accuracies of the pool boiling heat transfer coefficient for fuzzy model is very high as indicated from the performance index. The prediction performance of zero-order adaptive fuzzy model has also been compared with MATLAB based ANFIS function. Further, the statistical attributes are determined and compared with the experimental data set of pool boiling of distilled water available in open literatures.

Supervisor support in transfer of training: looking back at past research

Abstract: Purpose – Of the various factors directly or indirectly influencing transfer of training, supervisor support as a work environment variable is found to have diverse relationships with transfer, further complicated with the perspective of time. The purpose of this paper is to bring together findings from past research to have a better insight on the impact of supervisor support on training transfer. Design/methodology/approach – A qualitative approach has been adopted to review existing research on the selected constructs. Findings – Literature reveals divergent influences of supervisor support on transfer: some researchers have established a direct-indirect relationship, some opine a positive-negative relationship and few show mixed results. Usually the relation is found to be indirect when trainee characteristics have been used as mediators. The authors may infer that the influence of supervisor support on transfer is contextual and nothing can be said affirmatively on their relation. Practical implicati...

Nanogold based lateral flow assay for the detection of Salmonella typhi in environmental water samples

Abstract: Background: Salmonella infection is one of the leading causes of water and food borne diseases and is the cause of approximately 3.5–18 million deaths per year worldwide. The severity of this infection demands the early detection of bacteria in drinking water before its consumption. The present study, therefore, attempts to develop a rapid lateral flow assay for the detection of Salmonella typhi in Ganges water using gold nanoparticles as the label. Methodology: gold nanoparticles were synthesized using sodium citrate reduction and characterized using various techniques such as UV-visible spectrometry, fluorescence spectroscopy and TEM. An optimized amount of anti-Salmonella monoclonal antibodies was conjugated with the synthesized gold nanoparticles. An optimum amount of anti-Salmonella polyclonal antibodies and anti-mouse antibodies were coated on nitrocellulose membranes as the test line and control line. The strip detected Salmonella in the sandwich assay format. The developed assay was tested with water samples collected from five different ghats of Ganges, and the results were correlated with conventional culture based methods. Results: statistical validation of the assay results showed that the diagnostic and analytical sensitivity was 100% and 86.7%, respectively. The specificity for the LFIA strip was found to be 100%, and the accuracy of the Salmonella LFIA strip was found to be 93.1%. The positive predictive value and negative predictive value for the LFIA strip was found to be 1 and 0.875, respectively.