Browsing by Author "MUHAMMAD USMAN"

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    Jaded ilhad ka falfsana nuqta nazr sa tehleli mutaliya
    (UMT Lahore, 2016) MUHAMMAD USMAN
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    Optimal energy solution for rural household
    (UMT.Lahore, 2014) SAAD AHMED QURESHI; MUHAMMAD USMAN
    Electric short fall is at a critical point and is considered as one of the major issues of Pakistan. Most of the population approximately 62% resides in the rural development. The major crisis of electricity exists in rural areas. Therefore, it is essential to provide a viable solution to the rural development to overcome the short fall of electricity. Electricity crisis in rural development is a major issue. Rural development is facing almost 15-20 hours of load shedding therefore there it is important to provide an optimal energy solution for rural household to meet the demands of the electricity. The cheapest and most suitable solution for rural environment is the biogas which is decentralized and does not require any extra effort for the production of biogas. Available resources in rural environment are enough to provide the energy needs and end up the crisis of the rural electricity needs as well as other energy issues. Almost 159 million animals are present in Pakistan’s rural development whose manure can be utilized for the purpose of biogas production if utilized properly. Surveys show that there are almost 35.2 million cattle and buffalo whose dung can be used solely for this purpose. Biogas production is not the only purpose of this research as it is produced before. The main issue is the generation of electricity. Therefore, the generation of electricity is estimated to be done through the use of turbines whose main fuel will be biogas which will be utilized in turbines for the production of electricity and provide a decentralized solution of electricity for the rural development. If every village is to be provided with decentralized power plants then in this way, the energy crisis for the rural development can come to an end. Secondly, it will also reduce the load on power houses to provide electricity to remote areas of the rural development.
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    PREDICTING STUDENT FUTURE INTERACTION USING SELF ATTENTION MECHANISM WITH RANDOMIZATION
    (UMT, Lahore, 2021) MUHAMMAD USMAN
    In the modern era, finding quality education and testing the student’s ability on some standards has become a primary challenging task. To attend this problem, there are several methods designed, some are manual and some of them use technology. The latest and technical methods are more useful and reliable. In the pandemic situation, the education system using technology is better than old systems. In the latest methods, a large number of researchers proposed machine-based prediction methods for student study and their future results. In this thesis, an education model is proposed to predict the future results of the student as well as the correct domain or field selection for the student. The KCT (Knowledge Component Theory) based Model is proposed with Satisfying Results. The main goal is to introduce the tracking model based on Deep Knowledge. The EDNet dataset is utilized for the testing of the projected model. The research is based on some phases like data collection, Feature Engineering, and Model Implementation. The main contribution of the researcher is to accurately predict how students will perform in future interactions
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    Psychosocial stressors, work family conflict, mindfulness, and quality of life in police personnel
    (UMT Lahore, 2023) MUHAMMAD USMAN
    The present study investigated the relationship between police psychosocial stressors, work family conflict, mindfulness and quality of life and also determined the moderating role of mindfulness and mediating role of work family conflict between police psychosocial stressors and quality of life. Correlational research design was used. The sample consisted of 160 police personnel with age range 20-60 years (M = 38.58, SD = 7.92) were taken from police stations of Lahore, Sheikhupura and Toba Tek Singh. Questionnaire on the police psychosocial stressor scale (Bashir & Subhan, 2017), Work Family Conflict Scale (Haslam et al., 2015), Mindful Attention Awareness scale (Brown & Ryan, 2003) and Professional quality of life (Hundall, 2009) were used to assess the sample. Results of Pearson product moment showed that there was a significant relationship in police psychosocial stressors, work family conflict, mindfulness and quality of life. The results of multiple hierarchical regression indicated that work to family conflict negatively predicted the compassion satisfaction and positively predicted the burnout. However, police psychosocial stressors positively predicted Secondary traumatic stress. Further mindfulness negatively predicted burnout. The results of mediation through process Macro indicated that family to work conflict showed indirect effect between police psychosocial stressors and compassion satisfaction well as burnout. However, work to family conflict did not mediate the relationship. The results of the moderation through multiple regression analysis indicated non-significant interaction effect between police psychosocial stressors and subscales of quality of life. The present study is important in police department highlighting the role of police psychosocial stressors, work family conflict in predicting the compassion satisfaction, burnout and secondary traumatic stress viii in police personnel so the results can be helpful to reduce stressors to improve work qualities.
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    Synthesis, characterization and photocatalytic activity of copper doped zinc oxide and its composites with sulphur doped graphitic carbon nitride
    (UMT, Lhr, 2018) MUHAMMAD USMAN
    Investigation of the doping influence on structures and photocatalytic properties of Zn nanostructures at optimum concentration is presented. Moreover, enhanced photocatalytic performance making composite with sulfur doped g-C₃N₄ is also presented. Copper (Cu) is used as dopant on ZnO nanostructures. Undoped and doped nanoparticles were prepared by co-precipitation method and annealing was done at 520oC for 3 hours. Sulfur doped graphitic carbon nitride nanosample was prepared by using thiourea. Nanocomposites of sulfur doped graphitic carbon nitride with pure zinc oxide and copper doped zinc oxide were prepared. Different characterization techniques were used to analyze the structural properties like (SEM) scanning electron microscopy, (XRD) X-ray diffraction and FTIR spectroscopy. Photocatalytic activities of all the samples were checked by UV- Visible. Methylene blue was employed as an organic pollutant for the photocatalytic activities and sunlight used for this activity. All the sample was good photodegradation of methylene blue. Therefore, 15% Cu doped ZnO was made composites with sulfur-doped graphitic carbon nitride by physical mixing method to determine it effect on photocatalytic activity and the formation of series of nanocomposites. Tauc plots were made by determining the band gap of different nanosample. Nanocomposites are excellent samples for degradation of an organic dyes and can be very effective for removal of organic dyes from industrial waste waters.