I work as a database engineer intern at futuretwei technolgies at santa clara during last summer during which I studied two kinds of mobile database SQLite and Realm by building location-based android applications using these two kinds of database and perform database evaluation and testing. The app is retriving the meta-data from the photos in our album and perform queries like grouping the photos close to an location together, fetch the photos of a specific city, or group the photos according to timeline. The most important thing I learnt through this project is that I need to be creative and figure out the solutions on my own instead of always relying on my manager to give more hints, the project contains many possible thingkin of an android app and a way to write the queries.

EECS 358

During this project: I am writing parellel Algorithms to solve a set of dense linear equations using

different technique. Including explicit parallel programing construct(pthread),convert the algorithm to message passing

distributed memory version using MPI and different scheduling technique:dynamic scheduling and static Interleaved scheduling

Snoring System:

Develop an android app that can detect whether people are snoring and the persentage of time of snoring during sleep.

We are equiped with a neck-worn sound sensor. Based on the sample we receive we are dividing it into sub ranges. The frequency and magnitude were mainly used for feature construction, and the energies of the specified frequency ranges were also used as a kind of feature component.

Support Vector Machine(binary classification) and Decision Tree to seperate different event since we are interested in which

factor affects the detection

Ten-fold cross validation was performed in order to evaluate the proposed algorithm. This is a frequently used validation

method where the total set is divided into 10 subsets, using 9 subsets for training and the remaining subset as test set