Heritage Institute of Technology

About: Heritage Institute of Technology is a based out in . It is known for research contribution in the topics: Support vector machine & Transconductance. The organization has 581 authors who have published 1045 publications receiving 8345 citations.

Tuberculosis amidst COVID-19 pandemic in India: unspoken challenges and the way forward.

Abstract: India is home to the most significant number of tuberculosis (TB) cases around the globe. The COVID-19 crisis has deeply perturbed most of the essential TB services in India. Regulating TB is difficult in a densely populated country like India due to latent TB infection in millions of Indians, which can reactivate at any point in the future. Due to the ongoing pandemic, healthcare workers have been diverted to activities implemented for effective COVID-19 management, leaving a meager workforce to help deal with TB management. Integrating TB and COVID-19 to augment India's health outreach is the need of the hour to diminish the effect of the COVID-19 crisis on TB. Increasing overall testing capacity, active screening, implementation of strategies for easy identification of TB hotspots, and ensuring uninterrupted drug supply for treatment through heedful planning of local and regional distribution and transportation will especially help cater to the vulnerable population who are at a high risk of suffering from adverse outcomes of TB. Lessons learnt in the battle against COVID-19 can most definitely help in providing insights to fulfill the goal of eliminating TB from India.

A new approach of sensorless control methodology for achieving ideal characteristics of brushless DC motor using MATLAB/Simulink

Abstract: This paper describes a new mathematical model of permanent magnet brushless dc motor (PMBLDC) with sensorless commutated drive on MATLAB/Simulink based platform. The main challenges in sensorless BLDC commutation techniques compared with sensored drive lies in identification of first commutation point and minimization of torque ripple. In this work, an ideal back-EMF generation methodology has been designed and implemented in order to incline the system with the ideal one. As a result, a significant reduction in torque ripple is achieved. The characteristics of this model give satisfactory outputs over a wide range of controlled speed variation from 700 to 14000 rpm. Moreover, the torque and speed characteristic provide a high torque even at low speed. The strength of the sensorless commutation technique used here is established by performance analysis of the simulated design.

Image feature based high capacity steganographic algorithm

Abstract: Steganography is the growing field of research, where hiding techniques are used to secure the communicative elements (e.g., images). In this paper, the message is hidden in the color image in spatial domain, exploring multi-bit Least Significant Bit (mLSB) steganography. Path trace, based on eccentricity of pixels gives the potential pixels to capacitate more hiding scope. Perspective based technique and meticulous statistical analysis are applied to immune the algorithm from sterilization along with other attacks. The algorithm overcome different tests done by benchmark like StirMark Benchmark 4.0, Receiver Operating Characteristic (ROC) curve. Visual Steganalysis and statistical tools like Dual Statistical Method and Histogram Difference are used to test the security and imperceptibility.The algorithm also ensures security with insignificant visual disturbance/distortion. Capacity per pixel after embedding, ranges from 9-bits to 12-bits and the minimum capacity per color per pixel is 2.37 and maximum is 2.69. The time complexity of the proposed algorithm is O(n2). The robustness is increased by unpredictable selection of bit for embedding.

Temporal evolution of photon energy emitted from two-component advective flows: origin of time lag

Abstract: X-Ray time lag of black hole candidates contains important information regarding the emission geometry. Recently, study of time lags from observational data revealed very intriguing properties. To investigate the real cause of this lag behavior with energy and spectral states, we study photon paths inside a Two Component Advective Flow (TCAF) which appears to be a satisfactory model to explain the spectral and timing properties. We employ the Monte-Carlo simulation technique to carry out the Comptonization process. We use a relativistic thick disk in Schwarzschild geometry as the CENtrifugal pressure supported BOundary Layer (CENBOL) which is the Compton cloud. In TCAF, this is the post-shock region of the advective component. Keplerian disk on the equatorial plane which is truncated at the inner edge i.e., at the outer boundary of the CENBOL, acts as the soft photon source. Ray-tracing code is employed to track the photons to a distantly located observer. We compute the cumulative time taken by a photon during Comptonization, reflection and following the curved geometry on the way to the observer. Time lags between various hard and soft bands have been calculated. We study the variation of time lags with accretion rates, CENBOL size and inclination angle. Time lags for different energy channels are plotted for different inclination angles. The general trend of variation of time lag with QPO frequency and energy as observed in satellite data is reproduced.