Narula Institute of Technology

About: Narula Institute of Technology is a based out in . It is known for research contribution in the topics: Quantum dot cellular automaton & Cognitive radio. The organization has 288 authors who have published 490 publications receiving 2258 citations. The organization is also known as: NiT.

Proton Density Variation in Ionosphere Before Strong Earthquake Using GOES-15 Data

Abstract: Seismic activity has some relationship with proton density which reveled from the observation of Scotia Sea Earthquake. In this paper, proton density variations are observed with the help of GOES-15 satellite data considering the density of proton in between 8:00 and 12:00 (I.S.T) for a few days before and after the earthquake. The earthquake time was at 9:04 a.m. on 17 November 2013 in Scotia Sea (with the magnitude of 7.5 M and depth of 10 km). In this paper, the variations of proton density and ion densities are statistically analysed from GOES-15. The GOES N Series of spacecraft continuously observe and measure the meteorological phenomena in real time, providing the meteorological community and the atmospheric scientist greatly improved observational and measurement data of the Western Hemisphere. Because of forecasting and space environmental monitoring, these enhanced operational services also improve support for atmospheric science research, numerical weather prediction models and environmental sensor design and development. The GOES satellites provides timely environmental information to meteorologists and their audiences alike—graphically displaying the intensity, path and size of storms. The result shows that the variation in the anomalies before the earthquakes have different sign from case to case and that there exists a strong relationship between the amplitude and the magnitude of the earthquake. It has also been found that the proton density at night detects variations significantly before the earthquakes. Due to the plate movements under Scotia Sea, the submicron aerosols are emerged by which ionosphere gets ionized and electric field becomes stronger; then electrons are accelerated but huge amount of protons comes from solar radiation. So there is a chance of decreasing proton density in ionosphere. Anomalies in the positive and negative pulses in GOES-15 data during 1–7 days before all studied earthquakes during quiet geomagnetic conditions indicates that these anomalous behaviours are highly regarded as seismo ionospheric precursors.

Designing a human computer interface using Laser Track Pad (LTP) for the physically challenged people

Abstract: In this paper, we have proposed a Human Computer Interface, replacing all the basic mouse operations by simple laser beam operations controlled by a Laser Pen (LP) & tracked by the Laser Track Pad (LTP). This approach helps to overcome the limitations of the physically challenged people for interacting with the computer systems. The main emphasis of this work is on mapping the Display Units (DUs) of various resolutions with our fixed-resolution LTP. We have introduced an algorithm to solve the Intermediate Pixel Reachability problem with minimal movement of the laser beam on the LTP (i.e., also with minimal movement of the body part holding the laser pen). The potentiality and possibilities for future works are considered.

Mesoscale convective system tracking in satellite thermal infrared images

Abstract: In the field of meteorology, mesoscale convective systems are required to be distinguished, tracked, and their lifecycle to be observed, for precipitation forecasting. Mesoscale convective systems are easily identifiable from satellite infrared images. There are several existing techniques like temperature induced mean based cloud motion prediction model, for identification and tracking of cloud structures from a series of thermal infrared images. This technique has been previously implemented for tracking of single and then multiple cloud clusters. In this study, temperature induced mean based cloud motion prediction model has been deployed for tracking and predicting the motion of an entire convective system.

Computerized Seed and Range Selection Method for Flood Extent Extraction in SAR Image Using Iterative Region Growing

Abstract: This study presents a novel method to capture the flood-affected area in SAR image. It initially locates a pixel in HH-polarized SAR image whose intensity value is equal or close to minimum intensity value in that image. This is adapted since SAR reflectance values of flooded area are less than the other regions due to the water surface smoothness that makes the flood surface a specular reflector with nearly no return to the sensor. Thereafter, the identified seed point is confirmed locally based on two parameters corresponding to intensities and percentage of occurrence of intensities around the seed. Densely populated range around the seed point is computed in the second step. Subsequently in the third step, from the seed point, regions are grown till the intensity value of that point is within the range. These three steps are continued till all flooded regions are captured in SAR image. The algorithm works with minimum human interaction. This method is validated by applying on RADARSAT-2 data and is found that the classification accuracy is 95%, in comparison with “mean shift” and “LPQ”.

Effect of noise on Electro Absorption Modulator (EAM) and optimization — Used for optical communication

Abstract: The noise transfer characteristics in an electro-absorption modulator are investigated. The transfer of intensity noise is assessed by considering the optical signal-to-noise ratio and relative intensity noise of the optical signals. An electro-absorption (EA) modulator is described from the viewpoint of noise transfer characteristics, where input optical signals are converted to electrical signals and the EA modulator is driven by the inversely amplified electrical signals. We have analyzed the linearity performance of analog fiber-optic links based on electro-absorption modulators (EAM) operating at high optical power. At substantially high optical power noise increases.