Browsing by Author "Ameer Hamza"

Now showing 1 - 14 of 14
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    Budget expense tracking app
    (UMT, Lhr, 2018-07-19) Arslan Ahmed; Ameer Hamza; Muhammad Hassaan
    Basically, we can see that today everyone seek towards his savings. They want that in this era of inflation how they can control their expenses and save money for future use. Obviously, they are seeking towards such an application which guides them how they can meet their expenses in efficient manner and also save their money for future use. So that we are making such an application which helps you to maintain the record of incomes and the expenses on a daily, monthly, yearly basis. So, you can easily see your expenses detail in a graphical format.
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    Budget Expense Tracking App.
    (University of Management and Technology, 2018) Arslan Ahmed; Ameer Hamza; Muhammad Hassan
    Basically, we can see that today everyone seek towards his savings. They want that in this era of inflation how they can control their expenses and save money for future use. Obviously, they are seeking towards such an application which guides them how they can meet their expenses in efficient manner and also save their money for future use. So that we are making such an application which helps you to maintain the record of incomes and the expenses on a daily, monthly, yearly basis. So, you can easily see your expenses detail in a graphical format.
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    Centralized healthcare system using blockchain
    (UMT.Lahore, 2019) Fahad Rashid; Shahzaib Khalid; Ameer Hamza; Muhammad Mohsin Ali
    In today’s world, as diseases are increasing day by day which also increase prescription paper work. Another problem is that patient has to carry his prescriptions and tests reports each time before visiting a Doctor. As we see every thing in this modern World is automated, so there should be a system for healthcare as well which hold patient’s data in digital form to avoid paper work. System should be available and accessible all time, for such System main problems are Security and consistency of Data. In order to make data consistant and secure as well as available at any time, we came up with an idea of Implementing HealthCare System Using Blockchain. Breif Description of Blockchain is Given below: Blockchain technology is a system of creating an immutable, secure, distributed database of transactions. Block chains were initially created to provide a distributed ledger of financial transactions that did not rely upon a central bank, Credit Company, or other financial institution. The technological breakthrough, however, has been extended to transactions involving legal matters, medical records, insurance billing, and smart contracts. One primary way that Blockchain technology is important to healthcare professionals is that it can revolutionize medical database interoperability. This greater interoperability can help improve access to medical records and prescription databases. In this proposed system, we maintian patient’s Visits Record in a manageable way to make it easy to use. We also Manage Patient’s Test Record which describe Test details, Doctor’s details who prescribed Test and Hospital Details. We also store Family History of a Patient to locate Genetic Diseases. We also maintain Reports in this system, to maintain Disease Counters Province wise. This system also provide login portal for Patient to view his/her medical history. This system provide portal for Laboratory Staff to add Tests Results. We tried to cover all possible aspects of HealthCare System to ensure secure and consistent medical Data.
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    Comparison of three different DNA extraction methods for betel quid spits and gutka spits collected from ten different surfaces
    (UMT Lahore, 2020) Ameer Hamza
    Betel quid and Gutka chewing is habit of a mass population mainly consist of Asian countries and is also spread to other world through immigrants. Chewing of Betel quid and Gutka induce some chemical changes in the saliva of consumers due to the presence of a number of carcinogenic and other substances present in them which cause inhibition in the isolation of DNA from their chewer’s saliva. Saliva is an important examined biological fluid in forensic analysis. It is a significant evidence that can help to investigate a rape case, assault and homicide cases. This study was designed to make an evaluation and compare three manual methods consisting of Phenol Chloroform isoamyl alcohol (PCI) test, Trehalose test and Alkaline lysis test for DNA isolation from Betel quid and Gutka samples collected from ten different surfaces. The aim of this study was to find a most suitable method for DNA isolation to face these kind of challenging samples in the field of Forensic science. The surfaces which were supposed in this study were more susceptible as a part of crime scene where evidential saliva might be found. soil, marble, glass, cloth, wood, plastic, cardboard, paper, metal and plant material were the surfaces selected in this study. The isolated DNA was checked for concentration and purity through spectrophotometer method in order to evaluate the most favorable method for DNA isolation. In this study Phenol Chloroform Isoamyl Alcohol was found to be the most favorable and efficient method from two other methods for both Betel quid and Gutka spit samples. However, it was observed in this study that it is difficult to recover DNA from these kind of Forensic samples.
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    Experimental study of strengthening of reinforced concrete beams through steel sheets
    (UMT.Lahore, 2020) Ameer Hamza; Anas Akhtar; Noman Riaz; Jahandad Khan
    In comparison with the option of “flatten and rebuild buildings”, durability can be better achieved by extending the life spans of existing structures. Strengthening of structures results in less construction waste materials, reserves natural resources, minimizes adverse environmental effects, saves time, saves cost, etc. The structural behavior of reinforced concrete beams strengthened steel sheets has been determined in the undertaken research both theoretical and experimental. The main aim of our project is to highlights the best among the investigated strengthening techniques. The experimental work included complete research plan consists of 6 concrete cylinders and 9 concrete beams. Making concrete (6 concrete cylinders, 2 for each strength & 6 beams 2 of each strength, 3 for control sample 3 for steel sheet sample) with different strength properties (strength range 18MPa, 21MPa and 25 MPa).to have inadequate flexural capacity and the purpose is to increase it. Strengthening operation has been accomplished using concrete steel sheets with different configurations. The test variables included the type of strengthening flexural the technique of strengthening. As predicted, the strengthened beams exhibited different structural behavior upon loading up to failure. The beams strengthened with epoxy bonded steel sheets showed best structural behavior. Steel sheets bonded at the bottom of the beam can prevent the shear failure and recover flexural capacity while continuous steel plates bonded to bottom sides of the beam only delay the shear failure with increasing in flexural capacity. In conclusion, strengthening of Steel sheet beams can be effectively increase by 22% to the control beams achieved using practical techniques, which will increase the life spans of the beams and thus enhance the durability of existing structure. Keywords:
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    Image processing using deep learning
    (UMT.Lahore, 2020) Ameer Hamza; Umar Farooq
    Entertainment industry is the most emerging and promising field of the time in which competition is increasing with every day. Kid’s content of entertainment covers a sufficient part of industry’s revenue. Different kinds of cartoons and animated shapes are the basic need of kid’s content to capture their attention for every new cartoon series. A professional artist is required in order to make new cartoons which is time consuming and quite expensive. To tackle the aforementioned problem we are presenting an artificial intelligence based solution to generate different types of cartoon without involvement of man force, which is challenging and valuable in computer graphics and computer vision. Recent research showed that GAN (Generative Adversarial Network) produces the cartoon with highly visual fidelity and have achieved great success. GAN based methodology provide automatic cartoon generation. The deep generative networks have exhibited a remarkable capability in cartoon generation. An approach for GAN’s Latent vector optimization to generate more realistic cartoons is introduced in this research. The dataset used for this research has been taken from kaggle to train our model of GAN as it requires a lot of data to learn. Moreover, an adversarial learning technique is presented to simultaneously to train a generator and parallel discriminators, The evaluation of objective of proposed method demonstrate the following results proposed framework produced more realistic results by comparing the state-of-art and ground truth.
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    Janam asthan nankana sahib
    (UMT, Lahore, 2021) Muhammad Anas Siddique; Ameer Hamza
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    Labor force
    (UMT.Lahore, 2016) Ameer Hamza
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    Labour force
    (UMT.Lahore, 2015) Ameer Hamza
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    Labour force
    (University of Management and Technology, 2016) Ameer Hamza
    Sometimes we encounter a problem in my home like, we need a carpenter, a rickshaw driver, a plumber etc. Or any other type of labor, but we don't get them and sometime the lower class people who work as labor suffer to earn money but they don't get any work. So, the question arises here we both need each other but I have no contacts with each other. So, what do we do then? We are researching for software, which will give comfort to both middle class and lower class people. The software is about helping the middle class people to get the Labor assistance whenever they need it and the lower class people need a job to earn their everyday living and have a better way to make communication easier between them. The software will have all the mobile numbers of the labors living near to our desired area. The user will enter his location where he/she is currently living and then choose the type of labor he wants from the category menu. Then a list of address, name and phone number is generated of the respective labor and User have chosen from the category menu.
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    Parent-child communication, self-harm, and externalizing problems in left behind children of immigrants
    (UMT, Lahore, 2023) Ameer Hamza
    The current research study aims to discover the relationship between parent-child communications, self-harm behavior, and externalizing problems in left-behind children of immigrants aged 12-18. Data were collected using correlational methodology having boys (n=92) and girls (n=105). The parent-adolescent communication scale ([PACS]; Olson, 1985), self-injurious behavior scale ([SIBS]; Saleem & Saleem, 2017), and Child Behavior Checklist (Achenbach, 2001 translated by Syed, 2001) were measuring tools used for data collection. Pearson product-moment correlation was used to check the relationship between parent-child communication, self-harm behavior, and externalizing problems in left-behind children of immigrants, and regression analysis was conducted to determine the significant predictors of externalizing problems. Moreover, the independent sample t-test was used to determine gender and family system differences and ANOVA was conducted to explore the class differences. The findings revealed that parent-adolescent communication is significantly negatively associated with self-harm behavior and externalizing problems. While self-harm behaviors are significantly positively associated with externalizing problems. Furthermore, self-injurious behavior and the mother’s education were significant predictors of externalizing problems.
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    Personality (extroversion, neuroticism), reassurance seeking behavior and life stressors in smokers and non-smokers university females
    (UMT, Lahore, 2025) Ameer Hamza
    This research investigates the relationship between personality, reassurance-seeking behavior, and life stressors among smoker and nonsmoker university females. The research study was quantitative (correlational) research study. The data was collected from universities in Lahore, Pakistan. Purposive sampling was used to collect data from (n=200) female students aged 18 to 25. Among the total 200 participants 100 were smokers and 100 were non-smokers. Demographics sheet, Big Five Inventory Scale (BFI); (John, Donahue, and Kentle, 1991), Reassurance Seeking Behavior Scale (RSB); (Quratulain Hafez, 2020) and Life Stressors scale; (Shaheen & Farukh 2021) were administered to study variables. Pearson correlation and Multiple Linear Regression were used to test the study variables. Results of Pearson correlation showed that there is strong positive relationship between personality (extroversion and neuroticism), reassurance-seeking behavior, and life stressors among smokers and non-smokers university females. Life stressors in females were found to be significantly related to smoking. However, when considering factors such as extroversion, neuroticism and reassurance seeking behavior and life stress, the differences in smoking frequency among various groups appear to be relatively insignificant. These findings have significance for mental health practitioners, educators, and legislators, pointing the need for female university students to have specialized smoking prevention and intervention programs.
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    Taufiq Rafat’s poetry
    (UMT, Lahore, 2019) Ameer Hamza
    As an individual living in a society, the culture becomes a deep part of the identity of that individual. This research aims to explore the culture and its social aspects as presented in Taufiq Rafat’s anthology of poem titled The Arrival of the Monsoon, in the lens of Marxist theory exploring Capitalism and effects, labor and working class and their relation to culture. It also dedicates a part of the research to the most modern and contemporary Marxist theories and their significance in literary world such as Neo-Marxism and Cultural Marxism. Rafat poems are elegant, deep and present to its readers the very true to life image of Pakistani Culture along with the ingenuity of his simple yet unique language. Rafat not only paints the culture of Pakistan with his words but also question the implication of the cultural studies that seems troublesome to his observation. This research explores those aspects in Rafat’s poems by analyzing his language, themes and the content of his poetry under the framework of Marxism as the umbrella of the study. The main areas of this research include Ideology and its impacts, Capitalism and its consequences and Culture and its relation to economic gain. It introduces the idea of looking at Rafat’s poetry has a rich source of cultural studies a quite different approach than the linguistic research based on his poems and use of language.
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    Tourist guide app
    (UMT.Lahore, 2024) Mujahid Islam; Hafiz M. Faisal; Ameer Hamza
    The proposed project aims to develop a smart tourist guide mobile app that will serve as a comprehensive tool for travelers seeking to enhance their travel experience and simplify trip planning. The app will offer a range of features and functionalities to assist users in navigating unfamiliar destinations, planning itineraries, checking weather forecasts, integrating with social media, personalizing preferences, providing emergency assistance, offering cultural norms and customs information, providing local transportation details through the app.