eScholar-UMT
eScholar is the institutional repository for research conducted at UMT and maintains a large collection of theses, dissertations and projects produced by UMT graduates as part of their respective degree programs. It includes (but not limited to):
- PhD/MS Theses
- Graduate Program Research Projects
- Undergraduate Program Reports and Final Year Projects
- Full-text articles/research work of faculty and students
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Recent Submissions
Understanding risk & resilience in red meat supply chain
(UMT, Lahore, 2018) MUHAMMAD IMRAN
Management of food supply chain is not so simple in this technological era where consumers are well aware and authorities are more vigilant than in past. This study was conducted in order to understand key risks involved in red meat supply chain and to propose a framework for a more resilient supply chain in order to achieve overall business performance and consumer satisfaction. Methodology of this research is case study based where detail interviews were conducted with experts involved in red meat supply chain from farm to retail and also observations during field visit and secondary data review. Demand of meat is increasing as source of nutrition and as it is highly perishable in nature and also its complex supply chain making it vulnerable to different risks at individual enterprise level includes animals farming to processing, logistics and display at retailer end. Natural and human factors are impacting operations of meat supply chain which includes risks involved at production side, disruption due to environmental factors, institutional polices and logistical operations are major contributor in overall red meat supply chain risks. Study not only identify key risks involved at different stages at operational and policies level but also carefully adopt strategies to make supply chain resilient in order to achieve business performance and profitability.
Cancer type driver classification accuracy using spark ML technology
(UMT, Lahore, 2021) Hafiz Abdullah Tanweer
In this paper, analysis of genes extracted from the body has been performed that can be a driver of tumor, resulting In cancer of different types like breast cancer etc. motivated by the BIGBIOCL The Classifier with Alternative and Multiple Rule Based (CAMUR) Is a core algorithm that Is applied here to dissect large datasets. For the purpose of acquiring the desired goal. Apache Spark as well as MLlIb are used on a stack of Hadoop In local mode. The practice has been performed using the decision tree as well as a random forest. As far as the deployed data Is concerned. In terms of measurement of F and efficiency, random forest has shown better results. For the objective of extraction of genes and other pertinent models, deletion of features has been performed with the deployment of an Iterative algorithm as proposed earlier by CAMUR with a modified version. Finally, the extracted results are facilitated to biologists, so they can analyze whether the extraction Is related or can be a driver of cancer.
A simulation study of dose deposition in a Fano Cavity using MonteCarlo code
(UMT, Lahore, 2021) MARIA FAROOQ
In this work, the electron transport algorithm is examine using Monte Carlo GEANT4 code. To perform simulation of an ionization chamber composed for water for 1.25MeV incidentphoton beam using FanoCavity and evaluate the consistency of the cavity response for variouscombinations of electron transport parameters. Due to this, electron reach geometric boundaries in large steps, and lateral displacement near interfaces is estimated by GEANT4. A number of histograms simulation results are plotted in Root to demonstrate the behavior of electrons in Fano Cavity response. As part of the FanoCavity setup, several improvements have been madeto electron transport algorithms. The number of events increases as well as the number ofelectrons inside the cavity and the highest energy peak is obtained. It is observed that theFanoCavity accuracy was greatly affected by the electron step size in the GEANT4 MC code.
Entrepreneurial potential
(UMT, Lahore, 2013) Rashid Minhas
Virtual intra city guiding system
(UMT Lahore, 2023-10-28) Tayyaba Zahid; Haris Masood; Irshad Ahmed
People always gaze with wonder at the hi-tech screens, often called terminals, at airports, which are provided for tourists and users to browse across a wide sea of information. Visitors are often interested in finding information related to tourism or browsing for fun.
Such terminals, which provide access to the World Wide Web by inserting a credit card, are visible at Abu Dhabi and Singapore airports. Using this as an inspiration for our project, The Virtual Intra-City Guiding System, we have planned to design a site that will provide tourists and locals with a wide range of information about the city of Lahore. The system is categorized for tourist users and local users according to their information needs.
The main theme of the project is to provide users with a virtual guiding system on a map. The user will enter their current location and desired destination, and the system will highlight the route between the current location and the destination. Considering the circumstances, it is obvious that the system will show the user the shortest path.