Iris recognition has been an interesting subject for many research studies in the last two decades and has raised many challenges for the researchers. One new and interesting challenge in the iris studies is gender recognition using iris images. Gender classification can be applied to reduce processing time of the identification process. On the other hand, it can be used in applications such as access control systems, and gender-based marketing and so on. To the best of our knowledge, only a few numbers of studies are conducted on gender recognition through analysis of iris images.

  • Artificial Intelligence
  • Last Updated On: 
    Thu, 10/31/2019 - 09:48

    This Dataset consist of 3Dmodels in Spherical harmonic coefficients andcorresponding shortcut of front view, the SH degree is 80.

  • Image Processing
  • Last Updated On: 
    Sat, 10/12/2019 - 22:55

    Monitoring cell viability and proliferation in real-time provides a more comprehensive picture of the changes cells undergo during their lifecycle than can be achieved using traditional end-point assays. Our lab has developed a CMOS biosensor that monitors cell viability through high-resolution capacitance measurements of cell adhesion quality. The system consists of a 3 × 3 mm2 chip with an array of 16 sensors, on-chip digitization, and serial data output that can be interfaced with inexpensive off-the-shelf components.

  • Image Processing
  • Last Updated On: 
    Mon, 07/22/2019 - 10:20


  • Power and Energy
  • Last Updated On: 
    Mon, 05/27/2019 - 08:19


  • Biomedical and Health Sciences
  • Last Updated On: 
    Tue, 01/21/2020 - 08:21

    Device Fingerprinting for Access Control over a Campus and Isolated Network Device Fingerprinting (DFP) is a technique to identify devices using Inter-Arrival Time (IAT) of packets and without using any other unique identifier. Our experiments include generating graphs of IATs of 100 packets and using Convolutional Neural Network on the generated graphs to identify a device. We did two experiments where the first experiment was on Raspberri Pi and other experiment was on crawdad dataset. First Experiment: Raspberry Pi We developed a packet sniffer application to capture IAT of packets.

  • Communications
  • Last Updated On: 
    Sat, 02/02/2019 - 22:53

    This set of data provides test results for designers and facility operators to apply in determining the arc-flash hazard distance and the incident energy to which employees could be exposed during their work on or near electrical equipment. 

  • Standards Research Data
  • Last Updated On: 
    Fri, 12/20/2019 - 10:18

    This dataset is a human blood smear section FPM dataset for testing the performance of colorful FPM reconstruction. The subdirectories 'R', 'G'  and 'B ' contain images corresponding to red, green and blue light with 30ms exposure time. The subdirectory 'W' contains the multiplex images with 10ms exposure time. The subdirectory 'K' contains one dark-frame for using dark-frame denoising method. The subdirectory '20X' contains high-resolution images captured with a 20X objective lens for comparison.

  • Image Fusion
  • Last Updated On: 
    Thu, 11/08/2018 - 10:34