Now showing items 1-20 of 42

    • Active eavesdroppers detection system in multi-hop wireless sensor networks 

      Abedini, Masih (Faculty of Graduate Studies and Research, University of Regina, 2022-08)
      Wireless Sensor Networks (WSNs) are vulnerable to eavesdropping attacks that endanger their privacy, confidentiality, and authenticity. As the broadcast nature of the wireless channel makes it susceptible to eavesdropping ...
    • An analysis of shallow vs deep features for AI-based plant disease detection 

      Chan, Vincent Sun-Wai (Faculty of Graduate Studies and Research, University of Regina, 2022-06)
      Many literatures show deep networks to be highly effective in visual classification. While effective, these networks rely on big data for its training process which tends to be time-consuming and resource heavy. On-site ...
    • Analysis, Modeling and Enhancement of LTE-A Heterogeneous Networks in a Real-World Environment 

      Gao, Haijun (Faculty of Graduate Studies and Research, University of Regina, 2021-06)
      During the past decades, cellular networks have been greatly developed. An increasing number of devices such as tablets and mobile phones are connected to cellular networks. The heterogeneous networks (HetNets) play an ...
    • Blinded by the Light: Commissioning of the Hall C SHMS Heavy Gas Cherenkov Detector 

      Ambrose, George Ryan (Faculty of Graduate Studies and Research, University of Regina, 2018-12)
      The University of Regina built a heavy gas Cherenkov (HGC) detector for use at the Thomas Jefferson National Accelerator Facility (JLab) as it enters a new era of 12 GeV experiments. This detector will play an important ...
    • Capacitive Flow Meter Realtime Processing Using Cross Correlation HDL Design Methodology and Performance 

      Nell, Peter Condie (Faculty of Graduate Studies and Research, University of Regina, 2015-03)
      Accurate low cost flow rate measurements of multiphase varying rate flows would be beneficial to the oil and gas industries in Saskatchewan. This thesis provides a design methodology, implementation and analysis of ...
    • A Combinatorial Tweet Clustering Methodology Utilizing Inter and Intra Cosine Similarity 

      Kaur, Navneet (Faculty of Graduate Studies and Research, University of Regina, 2015-07)
      Data mining techniques are well known and are often used to analyze and explore datasets for meaningful information. Social media, such as Twitter, has emerged as a source of data where millions of tweets are generated ...
    • A Comparison of Aggregate and Multi-Region Load Forecasting Models in Saskatchewan 

      Wright, Connor James (Faculty of Graduate Studies and Research, University of Regina, 2012-10)
      Power systems in large geographic environments experience diverse weather phenomena. Due to spatial separation and economic diversification, load centres will exhibit differing electrical demand. This diversity of weather ...
    • Comparison of Three Dimensional Measurement Accuracy Using Stereo Vision 

      Peng, Jinglin (Faculty of Graduate Studies and Research, University of Regina, 2011-11)
      The stereo vision system has been widely used in recent years. The imaging process of a camera consists in projection from a three dimensional world to a two dimensional image in which one dimension of information has ...
    • Cybersecurity Impact on Siting Distributed Generation in a Smart Grid Environment 

      Nayak, Jay (Faculty of Graduate Studies and Research, University of Regina, 2020-10)
      The integration of information and communication technologies (ICTs) in the smart grid exposes the power systems to various cyber threats. The operation and control of the highly complex and non-linear smart grid ...
    • Data Reduction in Smart Grid 

      Aleshinloye, Ahmed (Faculty of Graduate Studies and Research, University of Regina, 2018-09)
      The advancement of the electric grid has led to tremendous growth in data generated from the installed sensors. With this huge amount of data, the electric grid faces a big data problem. Therefore, it is necessary to ...
    • DEEPVEG: Deep Learning for Multiclass Segmentation of Weed, Canola and Canola Damage 

      Das, Mohana (Faculty of Graduate Studies and Research, University of Regina, 2021-04)
      Farmers need to produce more food to feed the growing population. On top of that, pests (weeds and insects) pose a serious threat to crop production and we need to take steps to reduce the risk. Currently, the use of ...
    • Design of an Over-Coupled Coaxial Resonator for Determing the Electrical Properties of Materials 

      Suleman, Muhammed Bashiru (Faculty of Graduate Studies and Research, University of Regina, 2017-09)
      knowledge so that different materials can be adapted for varying purposes. For example, materials used in engineering design and processes. With unique properties of every material, there is need to determine the properties ...
    • Detection of Textureless Occluded Objects by Deformable Part Models 

      Iqbal, Faisal (Faculty of Graduate Studies and Research, University of Regina, 2017-01)
      Detection of objects in images has been a popular area of research in computer vision. Researchers have been working on the automatic detection of both fully visible and occluded objects. In this thesis work, detection ...
    • Development of Enhanced Neural Decision Tree Model and Application of Data Mining Techniques for Modeling of Petroleum Datasets 

      Omer, Sardar Usman (Faculty of Graduate Studies and Research, University of Regina, 2014-07)
      In this work, two data mining techniques are studied and applied to petroleum datasets. so as to extract useful information such as: correlations and interdependencies among the attributes. This helps to better understand ...
    • The diabetic patient software agent. 

      Wang, Zhanle (Faculty of Graduate Studies and Research, University of Regina, 2012-07)
      The purpose of this thesis is to develop an agent-based simulation model of a diabetic patient‟s blood glucose levels in which the efficiency of various treatment strategies can be evaluated in a micro scope. A further ...
    • EEG Feature Extraction and Pattern Recognition Based on Chaotic Systems 

      Pulayamparambil Sunny, Jobin (Faculty of Graduate Studies and Research, University of Regina, 2018-12)
      Nonlinear dynamical systems exhibit a wide variety of dynamic behaviour, including chaotic dynamics. Previous studies have reported the chaotic nature of EEG (Electroencephalogram) signals and various feature extraction ...
    • Electrical Considerations for Siting of a Small Modular Reactor: A Case Study of Saskatchewan, Canada 

      Shrestha, Reena (Faculty of Graduate Studies and Research, University of Regina, 2019-05)
      Distributed generation resources (DGs) can help to mitigate the growth in electricity demand and the large burden on the central grid by reducing transmission and distribution power losses. DGs are typically small-scale ...
    • Fiber-Wireless Sensor Networks for Monitoring Distributed Generation in a Smart Grid Environment 

      Akerele, Oyeka Michael (Faculty of Graduate Studies and Research, University of Regina, 2018-05)
      Smart grid applications like teleprotection, synchrophasors and remote condition monitoring and control of assets require timely and reliable data transmission from the widely distributed assets to the Data Control Centers ...
    • Investigating Acoustic Properties of Biocomposite from Waste Streams 

      Guo, Jiayi (Faculty of Graduate Studies and Research, University of Regina, 2016-04)
      Biocomposites are a type of material. Recently, research and development into biocomposites have experienced a resurgence, as they are environmental friendly material. As part of the “green” industries, biocomposites ...
    • Low-Cost Grain Bin Moisture Sensor Using Multiple Capacitive Elements 

      Knutson, Kevin Martin (Faculty of Graduate Studies and Research, University of Regina, 2014-06)
      The ability to know the condition of grain stored on the farm is very important. Grains grown in the prairie provinces of Canada are valuable commodities and the farm has become a primary storage location for more and more ...