NUST Institutions Library Catalogue Search for 'an:24272'

Automatic Glaucoma Detection Using Retinal Fundus Images /

By Abdullah, Muhammad.. Islamabad: SEECS - NUST, 2016 . 87 p.: ill.; 30cm..

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Structural Optimization of Orthopedic Hip Implant Using Different Topology Optimization Algorithms /

By Abdullah, Muhammad . . 76p. , This research investigates the reduction in weight of hip implant by the application of parametric and non-parametric optimization techniques. Orthopaedic hip implants can be made from metals, ceramics, composites, or metallic alloys and are generally solid structures. The stiffness of orthopaedic hip implant is a pertaining problem when implanted in the human body as Hip implant are stiffer than bone material and causes stress shielding. This results in bone weakening which causes osteoporosis. Reduction in mass of femur stem results in stiffness reduction of femur stem. Non-Parametric topology optimization results in 34.9 % mass reduction and parametric optimization based on Central Composite Design technique in Design of Experiments (DoE) uses hole diameters as parameters and performs structural optimization that results in 22% mass reduction. 30cm.

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Modeling and Energy Simulation of and Educational Building, A case study in Pakistan /

By Abdullah, Muhammad. . 68p. , Climate change is increasing the average temperature of world due to emission of greenhouse gases (GHGs) in large amount. This has increased the annual energy consumption of buildings. These energy demands are fulfilled by non-renewable energy resources mostly. The infrastructural development in the fields of educational buildings, hospitals, industries, etc. is necessary requirement for growing country like Pakistan. The building sector of Pakistan consumes approximately 50 % of country’s total energy. To reduce the energy consumption of the buildings, different passive climate adaptation measures (PCAMs) can be implemented. In this study, several low-cost and medium-cost passive measures and their combinations were applied on the building model. This study analyzes their effects on annual energy consumption of the educational buildings in Pakistan. Energy simulations were performed by implementing these passive measures using DesignBuilder. The result shows that 2 °C variation in temperature setpoints and green wall are the most effective passive measures for reducing the annual energy consumption of the building. The implementation of these passive measures can reduce the cooling and heating energy consumption by 27.18 % and 62 % respectively. The energy use intensity (EUI) of the SMME building was 154.71 kWh/m2 /year which is higher than EUI requirement for buildings. Furthermore, the payback period of each passive measure and their combinations was also calculated. Variation in temperature setpoints can reduce the significant energy consumption with a zero-payback period. Finally, the cost benefit analysis was performed to suggest some lowcost and medium-cost passive measures. 30cm.

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Human Reliability Analysis using AI /

By Abdullah ,Muhammad. . 87p. ; 30cm..

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