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: Control theory & Electric power system. 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.

Modelling the hypsometric seasonal snow cover using meteorological parameters

Abstract: This study established a decadal correlation between meteorological observations (temperature and snowfall) and satellite-derived seasonal snow cover for a glacier catchment. The study area was classified into 10 elevation zones. The time period for considering climatic variables was from the start of the significant fresh snowfall of the new season to the date of satellite image acquisition. The snowfall inputs from the five meteorological stations at different altitudes were interpolated for the entire catchment using a discretised thin-plate spline technique. A local temperature lapse rate for this specific time period was calculated. It was applied throughout the catchment for interpolating the temperature, which was further used to refine the interpolated snowfall. Such a hypsometric approach along with third-order polynomial curve fitting (R2 = 0.998) finally gave an equation for estimating percent snow-covered area for different elevation zones with a good accuracy and very low average RMSE (Root M...

Implementing the dynamic time warping algorithm in multithreaded environments for real time and unsupervised pattern discovery

Abstract: Dynamic Time Warping (DTW) has been a widely used algorithm in the field of patter recognition. DTW is used to finding acoustic similarities in the same speech sequence or between sequences or both. Its use is not limited to speech signals but it is also a key step in image processing as well. Despite being one of the most important and effective algorithms, DTW is computationally very intense. Processing of one hour of speech using DTW takes a few hours on a single processor, limiting its applicability to desktop and server platforms. Even on advanced platforms, DTW is used only in an offline manner and not in real time. Further modifications for improving performance in DTW make the algorithm slower. In this paper, we aim at extracting maximum thread-level parallelism from the process so as to accelerate its execution using clusters, multicore and multi-processor servers. Since the existing parallelism in this process in highly limited, we restructure the entire algorithm to extract maximum parallelism without altering the functional behavior of the algorithm. We implement the algorithm on a cluster of Intel Xeon processors running at 2.93GHz. We compare the results on a multi processor and multicore level to analyze the benefits of both versions. Our results show that it is possible to implement such a compute intense algorithm in real time which is a big boost considering that these algorithms are always done in an offline manner.

Time-Domain Analysis of Sampling Effect in DPWM of DC–DC Converters

Abstract: This paper investigates time-domain analysis of sampling effect in digital pulsewidth modulation (DPWM) of dc–dc converters. The relation between the sampling delay, duty ratio, and multisampling factor (sampling to carrier frequency ratio) has been characterized. The sampling delay of the digital controller used for DPWM of the dc–dc converter has close relation with the actual pulsewidth-modulation output. An increase in the multisampling factor can reduce the delay effect of the DPWM. The output voltage varies as a stepped function of the duty ratio instead of the linear function as observed in ideal modulation. It is shown in this paper that this delay is a periodic function of the duty ratio. The effect of variations in the sampling frequency, switching frequency, and modulation index has been analyzed. The proposed sampling effect has been verified analytically for the buck, boost, and buck–boost dc–dc converters. The experimental results for the buck and boost converters have been obtained with the control circuit realized through a field-programmable gate array-based digital controller.