Bioaccelerators

July 18, 2016

Bioaccelerators

Modern next-generation sequencing (NGS) technologies have greatly reduced the cost of full genome sequencing. As the chemical aspect of the sequencing process becomes faster and more parallel, the computational components become a more and more significant component of the cost and time. This research project develops field-programmable gate array (FPGA) -based implementations of key genomics…

Large Hadron Collider Electronics

The Large Hadron Collider (LHC), located at CERN in Geneva, Switzerland, is the world’s largest particle physics experiment. Famous for demonstrating the existence of the Higgs boson, it relies on field-programmable gate array (FPGA) -based computation to capture, identify, filter and transmit events for further software processing. In collaboration with CERN and Shih-Chieh Hsu (UW…

Cochlear Implants Prototyping Environment

Cochlear implants are electronics embedded in the ears of deaf patients to help them regain their hearing. To help drive further growth in the quality of these systems, we are developing a field-programmable gate array (FPGA) -based Bluetooth interface between the cochlear systems and a smartphone, so that new algorithms can be prototyped and deployed…

QoS Enhancement of Wireless Video Networking

This project aims to further improve the quality of service (QoS) techniques for WiMAX/LTE 4G protocol stacks. We are working on a scheduling algorithm based on multiple-input multiple-output (MIMO) for not only transmitting traditional videos, but also transmitting videos with scalable coding. Moreover, the feedback resource allocation algorithm can be extended to a MIMO system…

3D Human Pose Estimation Based on Structure from Motion

This research aims to estimate 3D human pose by utilizing Structure from Motion (SfM), 3D modeling and pose estimation techniques. Structure from Motion is the process of estimating 3D structures from 2D image sequences or videos. In our approach, the camera produces multiple images by shooting video of the target while simultaneously reconstructing both the…

Activity Recognition

We propose a framework, consisting of several algorithms, to recognize human activities that involve manipulating objects using a Kinect camera. Our algorithm identifies objects being manipulated and models high-level tasks being performed accordingly. We evaluate our approach on a challenging dataset of 12 kitchen tasks that involve 24 objects performed by 2 subjects. The entire…