Now showing items 1-20 of 29

    • A Code Structure Visualization Tool for Groovy 

      Saha, Manas K. 1966- (2013-12)
      Real world systems often turn complex by nature. Dealing with complexity takes great amount of effort and time. A visualization tool can help to understand the code structure and ease the efforts. This work is an attempt ...
    • A Library in C++ for Graphical Password and Human Verification 

      Limaye, Sagar; Biyani, Pulkit; Moghe, Vaibhavi (2017)
      A graphical authentication method is implemented through selection of discretized points on an image. Discretization is used in click-based graphical passwords so that approximately correct entries can be accepted by the ...
    • A PATTERN RECOGNITION APPROACH TO LEARNING TRACKS OF HEAVY-ION PARTICLES IN TIMEPIX DETECTORS 

      Hoang, Son M. 1985- (2013-12)
      The rapid development in semiconductor detector technology at CERN has provided the capability to develop an active personal dosimeter for use in space radiation environments. The work reported here is based on the Timepix ...
    • An Energy-Aware Management Technique for Real-Time Multi-Core Systems 

      Liu, Fang 1973- (2013-12)
      In this work, we propose a new dynamic migration (DM) heuristic method integrating dynamic voltage scaling (DVS), dynamic power management (DPM) and task migration in multi-core real-time systems which can feasibly balance ...
    • AN EVALUATION OF THE SPARK PROGRAMMING MODEL FOR BIG DATA ANALYTICS 

      Ayyalasomayajula, Haripriya 1992- (2015-05)
      The focus of companies like Google, Amazon etc. is to gain competitive business advantage from the insights drawn by processing petabytes of data. Big Data refers to data characterized by large volume, great variety, and ...
    • An Interactive Application to Relax the Brain Waves 

      Shirur Sudhakar, Lavanya (2017)
    • Contextual Descriptors for Human Activity Recognition 

      Tran, Khai Nguyen 1984- (2013-08)
      Human activity recognition is one of the most challenging problems that has received considerable attention from the computer vision community in recent years. Its applications are diverse, spanning from its use in activity ...
    • Dataset Modification To Improve Machine Learning Algorithm Performance And Speed 

      Ahmed, Owais 1985- (2014-05)
      We propose two pre-processing steps to classification that apply convex hull-based algorithms to the training set to help improve the performance and speed of classification. The Class Reconstruction algorithm uses a ...
    • Discriminative Semi-coupled Dictionary Learning for Face Recognition 

      Chu, Dat 1985- (2012-12)
      Performing 3D face recognition when only partial 3D data are present in the gallery and probe is a very challenging task. The task is even more challenging when the gallery dataset originates from one side of the face ...
    • Energy Aware Routing of Web Requests in Hybrid Cloud 

      Velusamy, Gandhimathi; Lent, D. Ricardo; Subhlok, Jaspal (2017)
      Normally the application services are deployed as web services on the cloud for scalability and fault tolerance. We propose to use an autonomous intelligent global load balancer (IGLB) to distribute the requests across ...
    • Energy Efficient Hybrid Display for Embedded and Mobile Systems 

      Wen, Yuanfeng 1984- (2013-08)
      Embedded and mobile devices, such as smartphones, e-books, and tablets, have limited battery capability because of the constraint of battery size and mobility requirement. However the large color display on those devices ...
    • Enhanced Debugging of Data Races in Parallel Programs Using OpenMP 

      Hervey, Marcus W 1970- (2016-12)
      Parallel computing is pervasive. The variety and number of parallel hardware architectures increase daily. As this technology evolves, parallel developers will need productivity enhancing tools to analyze, debug, and ...
    • Enhancing Multiple Sclerosis Lesion Segmentation in MRI Images 

      Biediger, Dan 1974- (2012-12)
      Multiple sclerosis (MS) is an autoimmune disease of the central nervous system that causes damage to the insulating myelin sheaths around the axons in the brain. It affects over 2.5 million people world-wide. The disease ...
    • Evaluating Type Prediction with Textual Hints 

      Alipour, Mohammad Amin; Lopez-Monroy, Adrian; Gonzalez, Fabio; Solorio, Thamar; Shirani, Amirreza (2018-03)
      One of the main obstacles to program comprehension and software maintenance is the lack of information about the types of variables in a source code. In this paper, we explore the effectiveness of type inference using ...
    • Fundamentals of Digital Watermarking 

      Patil, Shon 1982- (2014-08)
      Theft has always been a problem throughout the ages. Piracy is on the rise and encryption is not enough to counteract the theft of virtual property. Digital watermarking presents another concept that may help in the ...
    • Generalized Framework for Time-Sensitive Decision Support Systems 

      Kundooru, Shyam Sunder Reddy 1991- (2015-05)
      The University of Houston has various monitoring systems that feed information to Emergency Operations Centers for emergency decisions. Emergency decisions must be made utilizing the information available to Emergency ...
    • IMAGE ANALYSIS FOR ZEBRAFISH VASCULATURE 

      Hans, Charu 1985- (2015-08)
      Zebrafish has become a viable model for various research including vertebrate development, gene expression analysis, human diseases modeling, drug screening and toxicology analysis. Zebrafish have a closed circulatory ...
    • Increasing Student Retention in the Course of Data Structure Through the Implementation of Data Mining 

      Tian, Yilei (2017)
      With its strong commitment in supporting students to complete a high quality education within four years, this research wishes to extend this commitment and shed light on improving students’ performances in class. In doing ...
    • LUMEN SEGMENTATION IN INTRAVASCULAR ULTRASOUND DATA 

      Mendizabal Ruiz, Eduardo 1980- (2012-12)
      Intravascular ultrasound (IVUS) is a catheter-based medical imaging technique that is capable of producing high resolution cross-sectional images of interior of blood vessels and it is currently the gold standard technique ...
    • Motion Histograms for Action Recognition Using a Convolutional Neural Network 

      Chotard, David Loic 1992- (2015-08)
      Video recognition of human actions is an important research subject in the field of computer vision. Such solutions are particularly useful in video surveillance to detect potential felonies, but also find applications in ...