Electrical Engineering: Recent submissions

  • A Novel Wavelength Shift Keying Technique for the Transmission of Bidirectional Data over FSO Link 
    Ullah, Wasi (School of Electrical Engineering and Computer Science (SEECS), NUST, 2023)
    We proposed a simple and elegant model to achieve the Optical wavelength shift keying (OWSK), the transmitter side with modulation and the receiver side with demodulation are designed in a different way. A simple ...
  • Wideband Radio Frequency Detection based on Photonic Signal Processing 
    Khalid, Ammar (School of Electrical Engineering and Computer Science NUST SEECS, 2019)
    Microwave photonic techniques are overtaking electronic techniques in commercial as well as in military applications because it offers large bandwidth with low transmission loss and has no effect of electromagnetic ...
  • Non-linear controller designing of PMSM motor for industrial applications 
    Hussain, Zahid (School of Electrical Engineering and Computer Science NUST SEECS, 2020)
    In our technology world motors are used in 80-90 percent industrial as well as domestic applications. Permanent magnet synchronous motor finds its applications in industrial automation for traction, hybrid electric ...
  • Ground truth Data Collection for Visual SLAM Methods for Bench-marking Localization and Loop Closing Methods 
    Muddassar, Usama (School of Electrical Engineering and Computer Science NUST SEECS, 2019)
    Visual SLAM has the potential of offering the most accurate method for localization of a moving platform. There is a recent interest in fusing classical SLAM methods with the deep networks. This fusion demands big data. ...
  • Non-linear Simultaneous Control of Power Stage of Fuel Cell Based Vehicles 
    Siffat, Syed Ahmad (School of Electrical Engineering and Computer Science NUST SEECS, 2020)
    Exponential decrease in oil and natural gas resources, increasing global warming issues and insufficiency of fossil fuels has shifted the focus to utilizing alternative energy sources in power generation and vehicular ...
  • Analysis of Ultrasound Using Deep Learning 
    Jafri, Syed Muhammad Baqar Hussain (School of Electrical Engineering and Computer Science NUST SEECS, 2021)
    In this work, we have analyzed the working of Big transfer (BiT) model for three kinds of tasks which are object detection, image classification and instance segmentation. First of all, in object detection task we have ...
  • Design and Control of Single Inductor Multi-Input, Multi-Output (SIMIMO) Boost Converter: A Comparative Analysis based on Linear and Nonlinear Control Techniques 
    Jadoon, Summayiah Khan (School of Electrical Engineering and Computer Science NUST SEECS, 2019)
    Multi-input Multi-output (MIMO) dc-dc converters are presently analysed as a substitute to mainstream dc–dc converter topologies for their improved power density in multiload applications. There are various power devices ...
  • Energy Efficiency and Hover Time Optimization in UAV-Based HetNets 
    Muntah, Sidra Tul (School of Electrical Engineering and Computer Science NUST SEECS, 2019)
    In this dissertation, we investigate the performance of downlink transmission link in a three-tier HetNet. Our goal here is to enhance the edge capacity of a macro cell by deploying unmanned aerial vehicles (UAVs) as ...
  • Integral Backstepping Plus SMC Based Nonlinear Control Design for Artificial Pancreas in Type-1 Diabetic Patients 
    Babar, Sheraz Ahmad (School of Electrical Engineering and Computer Science NUST SEECS, 2019)
    Diabetic patients of type 1 category have deficiency of an internal harmone produced by β-cells present in pancreas which causes a high blood-glucose level. Treatment of such patients is done by injecting exogenous insulin ...
  • Improving Channel Efficiency in LoRaWANs using Novel Channel Sensing Mechanism 
    Ahsan, Shahzeb (School of Electrical Engineering and Computer Science NUST SEECS, 2019)
    Low Power Wide area network (LPWAN) technology is being widely adapted in different Internet of things (IOT) services. Long Range Wide are Network (LoRaWAN) is most used in private outdoor applications. LPWAN technology ...
  • Supertwisting Sliding Mode Control for MPPT of Solar Photovoltaic System with Artificial Neural Networks Based Reference Generation 
    Ahmed, Shahzad (School of Electrical Engineering and Computer Science NUST SEECS, 2020)
    The problem of extracting maximum power from a photovoltaic (PV) system with negligible power loss is concerned with the power generating capability of the PV array and nature of the output load. Changing weather conditions ...
  • Loop Closure For Visual Slam in Dynamic Environment 
    Khaliq, Saran (School of Electrical Engineering and Computer Science NUST SEECS, 2019)
    Visual SLAM is a method where a robot moves in an environment and keeps building map of the environment and localizing itself within the map . The biggest problem in visual SLAM is the drift in localization that keeps ...
  • Resource Allocation for Intelligent Reflecting Surface Assisted NOMA Networks 
    Basharat, Sarah (School of Electrical Engineering and Computer Science NUST SEECS, 2021)
    Intelligent Reflecting Surface (IRS), with the potential to realize smart radio environment, has emerged as an energy efficient and a cost effective technology to support the services and demands foreseen for coming ...
  • Formal Verification of E-Voting Protocols Using Probabilistic Model Checking 
    Iftikhar, Sara (School of Electrical Engineering and Computer Science NUST SEECS, 2020)
    In the last couple of decades a large number of reliable e-voting protocols are introduced. However, it is quite challenging to completely verify these protocols quantitatively due to their distributive nature and complex ...
  • Tunable Power Divider for SWIPT Systems 
    Ilyas, Sana (School of Electrical Engineering and Computer Science NUST SEECS, 2020)
    Fifth generation (5G) is an advanced telecommunication standard as it is assumed that it will provide high bandwidth, rise in data rates, the reliability of connectivity and coverage, together with the huge reduction in ...
  • Automatic Classification of Normal vs Malignant cells in B-ALL White Blood Cells Cancer Microscopic Images 
    Shah, Salman (School of Electrical Engineering and Computer Science NUST SEECS, 2019)
    Acute Lymphoblastic or lymphocytic leukemia (ALL) is a lethal type of haematological malignancy of white blood cells in which abnormal white blood cells are produced.These abnormal cells affect the whole blood circulatory ...
  • UAV-Enabled Disaster Recovery and Management 
    Javed, Sadaf (School of Electrical Engineering and Computer Science NUST SEECS, 2021)
    Due to the unavailability of the traditional network in disaster scenarios, users are unable to communicate with each other or the rescue team. In this regard, Unmanned Aerial Vehicle (UAV) as an Aerial Base Station ...
  • MINIMAL DECOMPOSITION FOR SEPARABLE MULTI-H CPM SIGNALS 
    JANJUA, RAZI AHMAD (School of Electrical Engineering and Computer Science NUST SEECS, 2019)
    CPM signal is widely used in military telemetry applications and wireless communications.CPM posses robustness and additive noise immunity property phase modulation,it has advantage over digital phase modulation techniques ...
  • Incorporating Integrity in the Global Positioning System 
    Khan, Razeen Ahmed (School of Electrical Engineering and Computer Science NUST SEECS, 2021)
    A GPS application that incorporates integrity into the maps (Global Positioning System) ensures that the user does not get spoofed. Coordinates are extracted from Google in a JSON file regarding longitude and latitude ...
  • UAV Assisted Wireless Localization Framework for Search and Resc 
    Atif, Rana Muhammad (School of Electrical Engineering and Computer Science NUST SEECS, 2019)
    We present a novel framework for the search and rescue of victims or assets in the aftermath natural or man-made disasters. It employs unmanned aerial vehicles (UAVs) for physical localization of wireless devices. Our ...

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