Assam Don Bosco University Journals
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    Demarcation of Ground Water Potential Zones using Remote Sensing and GIS Applications

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    Now-a-days, due to the high demand of water for the human needs, groundwater sources are drastically extracted and causing to least the source. The entire Yearly furnish is contributing from the utmost resource called Groundwater. Globally, groundwater is extracting primarily for the purpose of agricultural fields, domestic and for industrial water supply. Majority of the surface water is in the form of saline water which is not useful for the needs of human beings for their daily needs. Very less amount of fresh surface water is existing on the ground surface. To compensate the needs, it is essential to identify, extract and manage the groundwater which is available at different levels at different areas of the globe. Proper planning is required for the extraction of groundwater using updated technologies for using and maintaining of natural resources like water resources. The prime strive of the selected project area is to map out potential groundwater regions in the Pendlimarri Mandal of Kadapa District by using Geospatial Technology. The main impartial target of the work is to select appropriate methods and assessment criteria of the technology to identify the potential underground demarcations in geographic information system environment with help of ArcGIS software. To demarcate zones of groundwater potential, various key parameters called geology, lineament density, LU / LC, geomorphology, groundwater depths, slope and drainage pattern were prepared by utilizing remote sensing data and secondary data which can collect from concern departments. The thematic layers are to be finally integrated by using weighted overlay analysis of spatial analyst tools of data management tools of ArcMap software to delineate underground water prospects regions output layout of the project. Disparate groundwater prospects levels were categorized, from the range excellent to poor including very good, good and moderate in between. At last, decided that that the applications of geoinformatics are essential and effectively applied for the demarcation of potential zones of groundwater

    INDIRECT NATURAL CONVECTION FOR TRANSIENT HYDROMAGNETIC GAS FLOW ALONG AN INCLINED PLANE IN A POROUS MEDIA: LAPLACE TECHNIQUE

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    The present flow model deals with analytical solution for unsteady gravity-driven thermal convection flow of a viscous incompressible, absorbing-emitting, electrically-conducting, optically-thick gray gas along an inclined plane in saturated porous medium in presence of a transverse magnetic field. To simulate thermal radiation effects the Rosseland diffusion flux model is employed. Moreover, for some of physical parameters numerical investigations have been made for the flow velocity, flow temperature, skin-friction coefficient and surface heat transfer rate. With increasing inclination of the plane the flow is found to be accelerated. With progression of porosity and greater inclination of the plate velocity gradients at the plate are found to be enhanced. Applications of the model arise in astrophysics, high temperature materials operations exploiting magnetic fields and MHD (Magneto-Hydro-Dynamic) energy generators

    Experimental Evaluation of Effect of Length of Stone Column on Load Carrying Capacity of Cohesive Soil

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    Stone column technique is widely used to improve load bearing capacity and to reduce settlement in case of soft clayey soil and loose silty soil. Stone column helps to improve the properties of soil by densifying, reinforcing the soil forming stiff fused soil mass. More over stone column provides good drainage path and diminishes the excess pore pressure. This paper discuss the effect of length of stone column on the performance of stone column through a lab study

    Change Detection of Vegetation Cover by NDVI Technique on Radhangari Wildlife Sanctuary of Kolhapur District in Maharashtra, India

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    The degradation of green cover has been going on since the beginning of human culture in space. The loss of natural forests as a result of progressive activities has become a major environmental concern. The loss of green vegetation is a fact of hydroelectric power generation by impeding the natural flow of a river. It has an influence on both the upper and lower catchment areas' vegetation. Various techniques of Vegetation Index (VI) based on Remote Sensing (RS) and Geographical Information System (GIS) methods are used to analyses this damage. One of the most widely used techniques for assessing vegetation cover is the Normalized Difference Vegetation Index (NDVI. For this study three decade has taken for calculating the NDVI of Radhanagari wildlife Sanctuary. After calculating the NDVI it shows the year 1998 shows 0.71 highest NDVI value and -0.48 was lowest, in the year 2008 highest NDVI was 0.38 and the lowest was -0.46 and for the year 2018 it was 0.49 highest and -0.12 NDVI values. This decreased NDVI represent forest area has degraded rapidly

    An application of design of experiments approach to statistically model and optimize performance parameters of a single cylinder four-stroke diesel engine

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    This paper investigates the application of design of experiments to enhance the performance characteristics such as indicated thermal power and mechanical efficiency of a four-stroke diesel engine with single cylinder. The dependent response variables are examined by varying the independent variables namely engine speed from 1421 to 1435 rpm, load from 18 to 28 kg and fuel flow rate from 2.5 to 3 kg/h. The influence of the input parameters and their interactions on the response functions are quantified using mathematical models. Statistical analysis comprising of analysis of variance, residuals, Pareto and normal probability are used for validating the models and obtaining relevant parameters. Engine load is proved to be the most significant factor influencing the indicated thermal power while fuel flow rate considerably impacts the mechanical efficiency. The optimum settings of the input variables are determined to be engine speed of 1435 rpm, load 28 kg and fuel flow rate 2.5 kg/h. The indicated thermal power is maximized to 27.3025 kW whereas mechanical efficiency have been increased to 80.0775 percent with the optimum settings

    Role of Hyperspectral imaging for Precision Agriculture Monitoring

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    In the modern era precision agriculture has started emerging as a new revolution. Remote sensing is generally regarded as one of the most important techniques for agricultural monitoring at multiple spatiotemporal scales. This has expanded from traditional systems such as imaging systems, agricultural monitoring, atmospheric science, geology and defense to a variety of newly developing laboratory-based measurements. The development of hyperspectral imaging systems has taken precision agriculture a step further. Because of the spectral range limit of multispectral imagery, the detection of minute changes in materials is significantly lacking, this shortcoming can be overcome by hyperspectral sensors and prove useful in many agricultural applications. Recently, various emerging platforms also popularized hyperspectral remote sensing technology, however, it comes with the complexity of data storage and processing. This article provides a detailed overview of hyperspectral remote sensing that can be used for better estimation in agricultural applications

    PULSAR DETECTION SYSTEM USING RADIO TELESCOPE

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    Radio astronomers and Researchers have detected numerous neutron stars in our galaxy, and they also predicted the Existence of many more neutron stars in space. Pulsars are very peculiar, yet almost inscrutable celestial objects. This is an object which is impelling radiation into space closest to the speed of light. Neutron stars are the most interesting galactic bodies to mankind. The things that hold us during the whole study are the fascinating properties of pulsar i.e. high density, a small diameter, strong gravity, and strong magnetic field. As the peculiar properties and the extreme nature of pulsar continue to disclose this catches the attention of Astronomers. Pulsars are distant objects. So, it is very tedious job to capture the radiations coming from it for this we have designed a system which consist of an Antenna, Filters, Amplifiers and Receiver. The signal we capture through the antenna will undergo signal processing to extract the Pulse which is buried in noise. The techniques used here are the fast-folding algorithm (FFA) and Fast Fourier transform (FFT) are explained along. By this whole study to building a system and performed signal processing and obtained the Pulse

    Fixed point approximation for generalized Chatterjea type contractive mappings in hyperbolic bb-metric spaces

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    In this paper, we consider a generalized Chatterjea type contractive mapping and introduce an iteration scheme in a uniformly convex hyperbolic bb-metric space. Strong convergence as well as Δ\Delta-convergence results for the introduced iteration scheme are obtained

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    SIZE-DEPENDENT OPTICAL PROPERTIES OF COPPER NANOPARTICLE OVER A WIDE RANGE OF WAVELENGTHS: AN ELECTROMAGNETIC SIMULATION STUDY

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    In this article, we modulate the optical absorption, scattering, extinction, transmission and field intensities of an ellipsoid copper nanoparticle by tuning its dimension. The finite-difference time-domain (FDTD) method is employed for this electromagnetic simulation study and a comparative investigation has been carried out. In the investigation it is found that Cu nanoparticle with 20 nm size exhibiting the optical absorption at the resonant wavelength ~530 nm. This plasmon peak is shifted to ~550 nm when the particle size is increased to 40 nm. In addition to shifting, the enhancement of the plasmon peak is also observed. This nonlinear enhancement arises due to the size dependent property of the surface plasmon resonance (SPR). For smaller nanoparticle, the scattering is found to be negligible as compared to the larger particle. The scattering becomes dominant as the particle size increases beyond 28 nm. The scattering cross-sections of all the particle decreases at the longer wavelength. All the structures exhibit a strong transmission minimum at a wavelength close to 590 nm in the visible spectrum. However, above 600 nm high transmission is observed. The electric field intensity is also enhanced from 5.15 (V/m)2 to 16.9 (V/m)2 as the particle size increases from 20 nm to 40 nm. We strongly believe that this research could provide an overall idea about the importance of particle size variation while fabricating Cu based solar energy harvesting systems, plasmonics photovoltaic devices etc

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