Browsing by Subject "."

Sort by: Order: Results:

  • APPLICATION OF SBSE TECHNIQUES FOR HIERARCHICAL SOFTWARE CLUSTERING 
    HUSSAIN, IBRAR (College of Electrical & Mechanical Engineering (CEME), NUST, 2012)
    Software systems evolve and change with time due to change in business needs. At some stage the available architectural description may not best represent the current software system. Accurate understanding of software ...
  • ASSESSMENT OF EXISTING HYDROPOWER POTENTIAL IDENTIFICATION OF CRITICAL FACTORS CAUSING UNDERUTILIZTION OF RESOURCES 
    Shahid, Jawad (College of Electrical & Mechanical Engineering (CEME), NUST, 2013)
    This work presents the problem of shortfall in the supply of electrical energy that is currently faced by Pakistan. The root cause of the shortage in the supply of energy is mentioned in this work. Previous as well as ...
  • An Automated Approach for Software Bug Classification.pdf 
    Unknown author (College of Electrical & Mechanical Engineering (CEME), NUST, 2012)
    Open source projects for example eclipse and fire fox have open source bug repositories. User reports bugs to these repositories. Users of these repositories are usually non-technical and cannot assign correct class to ...
  • Design and Simulation of MEMS Based Varactor with High Tunability for Digital Communication Systems 
    Akhtar, Ayesha (College of Electrical & Mechanical Engineering (CEME), NUST, 2018)
    Over the past few years, RF MEMS varactor and switches have attained significant interest in the field of telecommunication and Microwave engineering. These RF MEMS varactors have many advantages over the conventional based ...
  • DESIGN OF A LOWER LIMB EXOSKELETON FOR DISABLE PEOPLE 
    BALUCH, TAWAKAL HASNAIN (College of Electrical & Mechanical Engineering (CEME), NUST, 2012)
    The rehabilitation robot technology is new application in medical field which help people who suffer paralysis caused by disease or limp movement disorder. People suffering from paralysis do not have better chances of ...
  • FILLER MATERIAL ESTIMATION FOR POTHOLES USING 3D PAVEMENT IMAGES 
    MOAZZAM, SYED IMRAN (College of Electrical & Mechanical Engineering (CEME), NUST, 2013)
    Pavement distress and wear detection is of prime importance in transportation engineering. Due to degradation, potholes and different types of cracks are formed and they have to be detected and repaired in due course. ...
  • Imaging Solution by a Fusion of Thermal and Color Images using the Convolutional Neural Network 
    Khalid, Bushra (College of Electrical & Mechanical Engineering (CEME), NUST, 2018)
    In Computer vision, object detection and classification are active fields of research. Applications of object detection and classification includes a diverse range of fields such as surveillance, autonomous cars, robotic ...
  • IMPORTANCE OF MOTIVATIONAL FACTORS AMONG ENGINEERS AND MEDICAL DOCTORS IN RAWALPINDIISLAMABAD, PAKISTAN 2014 
    DURAB, MUHAMMAD (College of Electrical & Mechanical Engineering (CEME), NUST, 2014)
    Motivation is an important part of Human resource management. This paper summarizes motivational factor importance of engineers and doctors in Rawalpindi/Islamabad. Demographical analysis and comparison has been performed ...
  • Physical Layer Cognition of FBMC-based Wideband Networking Waveform of SDR 
    Tiwana, Amna Javed (College of Electrical & Mechanical Engineering (CEME), NUST, 2020)
    With the fast evolution in wireless communication standards and enhancement in cellular applications, the data rate requirement has increased exponentially over the past few decades. The next generation wireless standards, ...
  • SIGNAL PROCESSOR FOR PULSED RADAR IDENTIFICATION AND LOCALIZATION SYSTEM 
    Haider, Zeeshan (College of Electrical & Mechanical Engineering (CEME), NUST, 2012)
    Radar identification and localization (Range and direction of arrival (DOA) determination) is quite an old topic and a lot of work has been carried out in this field. Due to noise and interfering sources, accurate parameter ...
  • WIND SPEED ESTIMATION USING ARTIFICIAL NEURAL NETWORKS 
    Cheema, Zeeshan Ali (College of Electrical & Mechanical Engineering (CEME), NUST, 2020)
    In this masters thesis, two type of Artificial Neural Networks, Feed Forward Back Propagation Neural Network (FFBP NN) and Nonlinear Autoregressive Neural Network (NAR NN) are used for wind speed estimations and predictions. ...