Master's Dissertations

Permanent URI for this collectionhttps://kr.cup.edu.in/handle/32116/156

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    Spatial Pattern Of Urban Crime in Bathinda City Using Geographical Information System
    (Central University of Punjab, 2018) Kaur, Arshdeep; Singh, Kiran K.
    Cities are place of hope and opportunity not only for people of the city but also for the surrounding areas. Cities seem very beautiful to people when they see tall buildings, malls, parks, and well-designed roads but there is a dark side of cities also. In cities, people feel insecure, even in their own streets and houses with the rise in criminal activities. There is a big fear of crimes in the mind of people in the city, which arise from inequality, poverty, segregation, and injustice. This study focused on the six urban crimes in Bathinda city such as crime related to alcohol under Excise Act, drugs related crime under NDPS Act, gambling, snatching, house-break, and vehicle theft. The crime pattern of Bathinda city has been explored by using Geo-Spatial techniques for the period 2007-2017. Changing pattern of crimes from year 2007 to 2017 is represented by graph diagrams. Hotspot analysis of these six crimes has been done of year 2007 and 2017
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    A Study on MGNREGA Employment Patterns in Jammu and Kashmir
    (Central University of Punjab, 2018) Ghafoor, Ahmed; Parida, Jajati Keshari
    This study attempted of MGNREGA on Employment Pattern in Jammu and Kashmir. In this used secondary data for Labour Bureau 5th (2015-16) and Ministry of Rural Development. The MGNREGA provides for one hundred days of employment in every financial year for every rural household who are willing to do unskilled manual work. The scheme was launched with an aim of increasing poor people living standard in rural. The objectives of this study are the process of implementation and patterns of MGNREGA and its determinants. In this examines both financial and physical performance of MGNREGA in the State by focusing on the issues like, job cards issued, man-days generated, employment provided to households in Jammu and Kashmir. MGNREGA play a vital role to poverty reduction in Jammu and Kashmir
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    DWT-SVD Based robust digital image watermarking using adaptive median filter
    (Central University of Punjab, 2013) Kumar, Ashok; Brar, Sukhreet Singh
    Feature Matching is one of the central issues of model-based recognition and an important component of most object recognition systems. The feature matching technique can be applied in image alignment, 3D secure reconstruction, motion tracking, object recognition and in pharmacophore based molecular alignment. Even though numerous algorithms exist for feature recognition and search yet the efficiency of these have considerable room for improvement. This has necessitated a continuous search for better performing algorithms. The combination of geometric hashing technique and tolerance limits for a given set of known interactions can be used for the pharmacophore modelling based search. The algorithm proposed is precise as compared with the previous existing algorithms. This algorithm is better in its runtime complexity.
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    Polyelectrolyte modificaion of microfiltration for removal of arsenic lons
    (Central University of Punjab, 2017) Bala, Bindu; Yogalakshmi, K.N.
    Increased human activity and consumption of natural energy resources have led to decline in the stock of fossil fuels. The current technologies used for energy generation are not environment friendly. Microbial electrolysis cell (MEC) represents a new approach for harnessing the energy contained in the organic matter of wastewater. It is a type of bioelectrochemical systems in which chemical energy stored in organic compounds are converted to biogas such as hydrogen through biocatalytic oxidation by microorganisms. But it still suffers from the lack of efficiency in terms of hydrogen production and current generation. Previous studies have demonstrated that the electrodes coated with nanoparticles such as Fe, Au, Pd, and Ni nanoparticles have the potential to enhance energy recovery in MEC. Hence, the present study aims to use single chambered membrane-less microbial electrolysis cell with magnetic iron nanoparticle coated electrodes for treating combined leachate and dairy industry wastewater. The performance of the MEC was assessed through COD removal, current and biogas generation at an applied voltage of 0.8 V and HRT of 48 hours. Results demonstrated that the maximum current density achieved by nanoparticles decorated electrodes was 3.86 times higher than iv generated by plain electrodes. The highest COD removal efficiency of 96.5% was achieved at OLR equal to 17.14 gCOD/L/d. The maximum coulombic efficiency of 155% represents the conversion of maximum chemical energy stored in the combined wastewater into electrical energy. The hydrogen production rate of 3.192 L/L/d was achieved in this study. The results shows that magnetic iron nanoparticle coated electrodes enhance the current generation and COD removal in single chambered MEC operated with combined leachate and dairy wastewater treatment.
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    Estimation of heavy metals in human blood samples- To evaluate immunotoxic correlation with health risk in local population of Malwa region of Punjab
    (Central University of Punjab, 2018) Padhi, Padhi; Jain Manju
    Elements play a significant role in the human body for growth, development, and metabolism. But there are certain heavy metals which adversely affect the various processes of the biological system. A certain amount of different heavy metals is tolerable but above the optimum level, these have a drastic effect on the body. In this work, we evaluated the concentrations of specific heavy metals - Copper, Arsenic, Cadmium, and Lead in human blood. The study area chosen is Malwa region of Punjab specifically Bathinda, as the area is reported to have heavy metal contamination in groundwater and soil which enter the food chain. There is no single study demonstrating the presence of heavy metals in blood samples of subjects in the study area and its possible correlation with high incidence of various diseases reported in the region. In our work, we have analyzed the concentration of four heavy metals- Copper, Arsenic, Cadmium and Lead in whole blood samples collected from susceptible and diseased individuals from study area using ICP- MS. Our preliminary data show that the concentration of arsenic and the lead was higher in the diseased group compared to the susceptibility group. Presence of these two heavy metals in blood found to be above the permissible limits can be the possible reason for high disease incidence in the study area.