NUST Institutions Library Catalogue Search for 'au:"Salman Khan"'

Decision Support System in Object Oriented Data Base Management System

By M. Salman Khan. Islamabad, NUST School of Electrical Engineering & Computer Science, 2004 . x, 54 p. : , Supervisors : Dr. Sharifullah Khan, Mr. Kamran Munir. 27 cm. +.

Place Hold on Decision Support System in Object Oriented Data Base Management System

Graphical Display of MIPS-32 on monitor

By Salman Khan, SGC 1018 71(B) EC. Risalpur CAE, PAF Academy Risalpur 2011 . 56p. , BE Project Reports

Place Hold on Graphical Display of MIPS-32 on monitor

Using lab view software design and fabriate PC based prototype systems for test and measurement

By Muhammad Aneel ; Salman Khan. Risalpur NUST Risalpur 2007 . 110p. , BE Project Reports

Place Hold on Using lab view software design and fabriate PC based prototype systems for test and measurement

Drag estimation and performance analysis of F-6 with and without gandola tank

By Salman Khan. Karachi NED 1982 . 240p. , BE Project Reports

Place Hold on Drag estimation and performance analysis of F-6 with and without gandola tank

Honeycomb structures designing manufacturing and testing using aluminium as material for airframe application

By Muhammad Salman Khan. Islamabad SMME NUST 2015 . 66 P.

Place Hold on Honeycomb structures designing manufacturing and testing using aluminium as material for airframe application

Optimization of machining parameters of Nomex honeycomb core for the development of a mesoscale numerical model to predict deformation and failure in core structures /

By Habib, Hassan . . 68cmp. ; 30cm..

Place Hold on Optimization of machining parameters of Nomex honeycomb core for the development of a mesoscale numerical model to predict deformation and failure in core structures /

Impact analysis of the Cement Manufacturing Industry to Reduce Health & Enviromental Issues in Pakistan /

By Khan, Muhammad Ahtsham. . 68p. 30cm.

Place Hold on Impact analysis of the Cement Manufacturing Industry to Reduce Health & Enviromental Issues in Pakistan /

Path Planning of Robot Motion using Vector Pursuit Method /

By KHAN , SALMAN . . 55p. ; 30cm..

Place Hold on Path Planning of Robot Motion using Vector Pursuit Method /

Investigation of 3D Printed Honeycomb Cores by Varying Printing Parameters for Different Loading Conditions /

By Rashid, Muhammad Fahad . . 69p. , Light weight components having greater strength and lower manufacturing cost are the need of the hour especially for aerospace industries. For this, honeycomb sandwich structures of various materials and parameters are developed by Additive Manufacturing (AM) to meet the desired output of sufficient strength to withstand compression and flexural loading. In this paper, the honeycomb structures are fabricated using a fused filament fabrication (FDM) technique. The effect of different printing conditions on the compressive and flexural properties of the 3D-printed honeycomb structures made of PLA, ABS and PLA+ polymeric laminates are investigated experimentally and analyzed by Taguchi and ANOVA (Analysis of Variance). Three build orientations, i.e., 0, 45 and 90 degrees, with layer heights of 0.1, 0.2 and 0.3 mm are considered for the 3D printing. Moreover, Multi-objective optimization is performed to optimize the strength and printing time (cost) of L27 array samples. Results show that 90ᵒ and 0ᵒ build orientations with 0.3 mm layer height being PLA and PLA+ the best materials are the optimum conditions for compressive and flexural mode of testing, respectively. The results deduced that compressive and flexural samples could withstand maximum load of 69,000N and 120 N with minimum printing time. Thus. it would be fruitful in harnessing energy for the development of sustainable printing of durable components. 30cm.

Place Hold on Investigation of 3D Printed Honeycomb Cores by Varying Printing Parameters for Different Loading Conditions /

Multi-Disease Classification For Retinal Diseases Using Deep Learning Technique

By Khan, Omar Salman . . 55p. , Diagnosis before the spread of retinal diseases is vital to prevent high level blindness and any sort of visual impairment. Many retinal diseases can be found via the fundus imaging which has a very important role in the observation and detection of various ophthalmic diseases. Most previous literature has focused their approaches on identifying individual diseases or a combination of 3-4 diseases like DR, MYA, ARMD, MH, ODC having major research. The eye is mostly affected by more than one underlying disease or disease marker, and uptil now most datasets had very few classes. Recently introduced RFMiD dataset, is one of the first datasets to provide 45 different classes of ophthalmic diseases. Hence making it possible to work towards automated multi-disease classification models which would provide great help to highlight this issue via clinical decision support systems integrated in the medical image diagnosis. Our work aimed to achieve higher accuracy than previous literature and to create an CDS application from the model in understanding and predicting multi retinal diseases. Deep learning models are excellent and have proven to be extremely effective in solving complex image processing problems. In addition, ensemble learning yields high generalization performance by reducing variance. Therefore, a synthesis of transfer, ensemble, and deep learning was used in this work to create an accurate and reliable model for multi retinal disease classification. To create the Multi Retinal Disease Classification Model (MRDCM) we used ensemble of EfficientNetB4 and EfficientNetV2S, with our final ensemble model giving promising results. In our evaluation, we scored an AUC of 0.973 which stands better than literature. Further our model selection is lighter than models used in literature. The model was tested on 27 main classes of RFMiD dataset for comparison with literature. Index Terms—Deep iii Learning, Ensemble learning, Retinal Image Analysis, multi-Disease classification, transfer learning. 30cm.

Place Hold on Multi-Disease Classification For Retinal Diseases Using Deep Learning Technique

Experimental Investigation of Flexural Properties of Fibre Glass Reinforced Polymer /

By Abbas, Asad . . 48p. , Additive manufacturing is an advanced manufacturing technology in which computer aided design is converted into STL file and then fed to 3D printer after slicing the design with the help of slicer software. Masked Stereo-lithographic apparatus (MSLA) is a type of liquid based 3d printer in which an array of LED is used to cure the photosensitive polymer resin with the help of ultra violet radiations. These radiations solidify the resin on platform of printer when fall on exposed area. The platform rises for next layer and this process continues until all the layers are cured and part is manufactured. The time to manufacture the part depends on layer thickness, height of part and the orientation of the part on platform. These parameters are set during the slicing process. We can find many applications of SLA printers in fields like engineering, medical, dentistry, jewelry and many others. These printers now a day are used to manufacture the final parts apart from the prototypes but there is limitation in the availability of resin of required mechanical strength. So to overcome this problem researches are carried out to manufacture polymer composites in different ways. This research focuses on using short glass fibres of different strand lengths as reinforcing material to matrix photosensitive polymer. The glass fibres of 5, 10, 15, 20, 25, 30, 35 and 40 mm lengths are used as reinforcing materials and nine specimens including neat one are manufactured in MSLA printer. The flexural properties of these specimens are obtained by performing 3-point bend test on universal testing machine as per ISO 14125 standard. The graphs of the force vs deflection are obtained and flexural strengths and flexural modulus is calculated and compared for all the specimens. It was observed that the flexural strength as well as flexural modulus of these specimens was increased initially for 5 and 10mm strands lengths and then started decreasing as the strands length increases. The maximum value of flexural strength and flexural modulus was obtained for 10mm glass fibre length and minimum for 40mm. 30cm.

Place Hold on Experimental Investigation of Flexural Properties of Fibre Glass Reinforced Polymer /

Refrigeration Load Calculation Of Cold Storage Box Used For Tomato Storage /

By Khan, Muhammad Salman . . 77p , Food loss and waste is a global problem, approximately 40 to 50% of fruits and vegetables are lost annually, exceeding 1.3 billion tons of food globally, with an estimated 750 billion US dollars wasted yearly. Throughout the stages of cultivation, handling, postharvest, storing, processing, distribution, and consumption, food is lost. A smart cold storage and reefer container is a sophisticated thermal and relative humidity control system designed to preserve and effectively use perishable food products. Due to no proper postharvest and transportation management, we are not losing the quantity, but we are also affected by losing nutritional quality of vegetables and fruits. The present study focused on reducing post-harvest loss of fruits and vegetables, more specifically on tomatoes during storing and transportation by providing an energy efficient small size solar powered smart cold storage solution with real time remote control of temperature and relative humidity. Solar panels are installed on the roof and walls of cold storage boxes for power generation during peak hours and batteries are installed for backup during low solar hours. The cooling is achieved by Vapor compression cycle. The temperature and percent relative humidity are set by a mobile app and are controlled by microcontroller. The cold storage box can be placed in ambient and can also be fixed in a vehicle for transportation as reefer container. The cold storage box includes both hardware and software parts, this IoT based control system is tested on a 110 liters DC chest freezer. The modeling of the temperature and relative humidity distribution inside cold storage walls was done using computational fluid dynamics (CFD). 30cm.

Place Hold on Refrigeration Load Calculation Of Cold Storage Box Used For Tomato Storage /

Ultrasonic Assisted Micro Milling of Inconel 718 /

By Mirza, Asim Ali . . 56p. , A super alloy with high temperature resistance, high corrosion resistance, and high strength is iconel-718, which is based on nickel. In the biomedical, aerospace, marine, and automotive industries, nickel-based super alloys are frequently used. The super alloy inconel-718 is difficult to machine and to cut. For greater surface roughness, little tool wear, and minimal burr formation, which produces better results than conventional micro milling, a methodology using ultrasonic assisted micro milling is developed to address this problem. This experimental investigation uses 0.5mm diameter cutting tools with various coatings, such as TiAlN, TiSiN, and nACo, to evaluate the effects of various machining parameters on surface roughness, tool wear, and burr development. With four levels and five parameters—cutting speed, feed rate, depth of cut, coating, and amplitude of tool vibration—Taguchi L16 array is used to create experiments. The analysis of variance is performed using Minitab software. It provides the percentage influence of each element, and we can identify the best and worst set of parameters to achieve the desired results using main effect plots. For multi-objective optimization, Grey Relational Analysis (GRA) is used to determine the best and worst parameter levels for each of the three answers. Confirmatory experiments revealed that ultrasonic aided micro milling produces better results than traditional micro milling with an amplitude of vibration of 9 m. 30cm.

Place Hold on Ultrasonic Assisted Micro Milling of Inconel 718 /

Optimization of FDM Printing Parameters to Enhance Mechanical Properties in Z-Direction /

By Haris Ali Nasir, Muhammad . . 88p. , Fused deposition modeling (FDM) is a commonly used additive manufacturing process that offers new opportunities for creating complex geometries that are difficult to produce using traditional production methods. However, the use of FDM technology in practical goods is limited due to anisotropic strength concerns. This means that the strength of parts created using FDM in the build direction (Z direction) can be much lower than in the X-Y directions. The objective of this study is to specifically examine a polymer called Polycarbonate (PC). The effects of layer height, printing temperature, and printing speed on the Z-direction tensile characteristics of 3D-printed PC samples were systematically explored using Taguchi design and response surface methodology (RSM). The RSM results indicate that the thickness of the layers has the greatest impact on the bonding between interlayers during printing. The optimal tensile characteristics for 3D-printed polycarbonate (PC) parts were obtained using parts generated with a layer thickness of A = 0.1288 mm, a printing angle of B = 270 °C, and a printing speed of C = 40 mm/s. The results confirm that printing PC material with the optimal conditions significantly enhances the bonding between interlayers in the build direction. An increase of 39.23% in the tensile strength of 3D printed parts was achieved 30cm..

Place Hold on Optimization of FDM Printing Parameters to Enhance Mechanical Properties in Z-Direction /

Investigating the effect of various cellular configurations and geometrical parameters on the strength-to-weight ratio of honeycomb cores designed for Additive Manufacturing /

By Khizar ,Umair . . 83p. ; 30cm..

Place Hold on Investigating the effect of various cellular configurations and geometrical parameters on the strength-to-weight ratio of honeycomb cores designed for Additive Manufacturing /

Investigation Of Energy Absorption Characteristic of Origami Inspired 3D-Printed Sandwich Honeycomb Structures /

By Saleem ,Ahmad Hassan. . 83p. ; 30cm..

Place Hold on Investigation Of Energy Absorption Characteristic of Origami Inspired 3D-Printed Sandwich Honeycomb Structures /

Performance Analysis of Routing Protocols of Mobile Ad Hoc Networks (MANETs) /

By Mumtaz, CJUO Aanish (TE-43 B). Rawalpindi MCS (NUST) 2010 . x,46 p.;

Place Hold on Performance Analysis of Routing Protocols of Mobile Ad Hoc Networks (MANETs) /

Performance analysis of routing protocols of mobile ad hoc networks (MANETs) /

By Mumtaz, CJUO Aanish (TE-43 B). Rawalpindi MCS (NUST) 2010 . x,46 p.;

Place Hold on Performance analysis of routing protocols of mobile ad hoc networks (MANETs) /