We have been extremely busy these past few weeks, hashing out use cases, figuring out the best possible types of donuts to purchase for IBM employees, and cutting through red tape to get access to certain databases, amongst other things.
On November 6th we met with IBM mentors to the project John Cohn, Eoin Lane, and Matt Ganis at UConn to figure out just where this project should be headed. This conversation led us to the idea of gamifying our mobile app. We wanted to come up with an awesome name for our app to make it that much more attractive to users, however nothing great enough has come to mind yet. Arguably more important than the name of the app however, we finalized the use-case and figured out just what we would need to start coding.
It was at this time we were informed that an IBM development team out of China had already built a mobile app with some of the basic functionality we were planning on using. The app included a map with overlays of water infrastructure, a nifty UI and some of the other features we were planning out for our app. This was great news considering our time constraint and the winter break so quickly approaching.
We have now been able to utilize the code from the IBM development team and have been working to adjust different aspects of it to better suit our use-case. Because the code given to us was created for use with a different database, our team is first working to decipher what each aspect of the code specifically does in order to then integrate it into our application. This will be our next step in the process and will definitely be the biggest challenge we have faced thus far.
Pictured: The first meeting of our Smarter Water team. From left to right: Julie Cappello, Peter Xu, Ian Brunjes, Andrew Boba, Robert McCartney and Matt Ganis. Not pictured are John Cohn (taking the picture) and Eoin Lane.
We are the University of Connecticut team of students working with Students for a Smarter Planet. Our project will be based around a campaign to raise public awareness and involvement with the water infrastructure in Rotterdam, Netherlands. We will be utilizing the Intelligent Operations for Water platform to develop a mobile application that will make learning and managing the water infrastructure both fun and rewarding.
But how could water infrastructure be interesting you may ask? Simple. Put it in a game! Users will interact in a gamified, informative system that will help the city’s water utilities to maintain their infrastructure. Through the use of this app and social media, we aim to get the public thinking about how their city manages and maintains its water.
Meet the Team…
Andrew Boba – Senior, Computer Science and Engineering major. A lover of snowboarding, the Brooklyn Nets, take-out Chinese, and of course, sewage.
Ian Brunjes - Senior, Computer Science major. Enjoys puns far too much. A devout gamer, likes to go outside occasionally, especially when it rains.
Julie Cappello – Senior, Computer Science and Engineering major. Loves cooking, sushi, warm weather, and sleeping (especially on water beds).
Zhuoqing Xu- Senior, Computer Science major. Embracing the nigh impossible task to build a healthy body while being a software engineer. A big fan of Arsenal FC and frivolously jumping around in puddles.
Follow us and enjoy all our missteps, triumphs, and confusion of IBM acronyms. We are about to take a plunge into Smarter Water and are excited to see where this ends up.
If you have any questions or comments, please let us know!
Our group works on smarter healthcare project. Our task is to find all repetitive sequences in human and rat chromosomes. Those sequences are called ultra conserved elements (UCE) which highly preserved in genome, remaining unchanged for nearly 300 million years. By setting up our own Hadoop Cluster (one master node and seven data nodes), we can run Java MapReduce program on Large Scale Genome DataSet in short period of time. We designed and implemented our Java MapReduce program to obtain UCE and stored it to HBase.
With a goal to inspire the next generation of scientists, technologists and engineers IBM will host a new THINK series aimed at high school students. The “Big Brains” live event will be held in Livestream on November 7th and recorded as learning modules that will be posted a few days later on YouTube, Teachers TryScience and the IBM Academy of Technology site. Reach out to your old high school and share this post to get them interested and involved. If you would like to attend the event post a comment and I’ll be sure to share the LiveStream connection information 5 days prior to the event. AoT-Invitation_Big_Brains_Nov2013
Big data is the term for a collection of data sets so large and complex that it becomes difficult to process using on-hand database management tools or traditional data processing applications. It has been the buzzword of the last couple years, and many businesses today want to “Get Started with Big Data”.
When I start discussing with clients what they want to do with big data, more often than not I get puzzled looks. It is important to have the preparedness to “get started with big data” by having:
- Pinpointed a line of business in the company to get started with the use cases
- Identified use cases that serves a true business needs within that line of business
- Verified that there’s indeed large amounts of meaningful data available to support the use cases
Above is the snapshot of the mindmap showing some sample use cases. You can download the original mindmap from the links at the original post.