This project was my final team project for "Electrical Engineering Laboratory 3" class in 2004 (when I was junior in college). The goal was to make a wireless system that substitutes price tags with electrical displays in grocery stores. The base station manages a list of products in the database, and it sends out price information to receiver units. Receiver units are simple character displays having unique IDs. When any products' prices change, the system can easily update new prices on these displays.
Hao Li (Ph.D. student from CS) and I conducted a big-data analysis project using the MapReduce framework (Hadoop) for the final project of INFM718G (Data-Intensive Computing with MapReduce, by Dr. Jimmy Lin). Targeting all the news images in April 2013, we tried to rank news images based on the importance and popularity level of each news image. To do that, we extracted image features using SIFT (Scale-invariant feature transform) and constructed a graph of images using LSH (Locality-sensitive Hashing) as a means to approximate the similarity of images.