Wednesday Jan 14, 2015
Wednesday Jul 30, 2014
By Yolande Poirier-Oracle on Jul 30, 2014
Nighthacking moves in! Join Stephen Chin as he interviews Java developers attending JavaOne. You will learn from fellow developers about ingenious ways to get your job done with the tools and technologies they use. Those interviews will be live at Java Hub during the whole conference and live streamed online.
The Hackergarten is where developers contribute to JSRs and open source projects. Whether you are a veteran contributor or a beginner, you are invited to participate for as long as you want. You can stay for less than an hour, several hours, a day, or the entire time of the conference. JSR contributors will be onsite to help. Topics include Java EE, Data Grids, Java SE 8 (Lambdas and Date & Time API) and OpenJDK. Java Champion Andres Almiray organizes Hackergarten at many conferences around the world. Check the hackergarten.net for events close to you!
What's that Java and the Internet of Things? Check out what's new with the platform and how it provides a great solution for the Internet of Things. Whether you are working in the industry or just want to do your own DIY projects. Stop by Java IoT Demo Showcase and learn what you can do with Java. The cool keynote demo will be there as well for all 3 days of the conference.
Learn how to use 3D Modeling with JavaFX 3D, Java Embedded, and 3D printing. You will experience the entire process from the modeling interface to the 3D printing of no less than the Duke. Computer scientist Michael Hoffer from the Goethe-Center in Germany will demo his 3D modeling and printing.
The scavenger hunt at the Java Hub will add a twist of fun to the discovery of Java technologies. The Java Hub will be located in the JavaOne Exhibit Hall at Hilton San Francisco Union Square.
Register today with the Early Bird rate to save $400 off the onsite price!
Tuesday Apr 30, 2013
By Yolande Poirier-Oracle on Apr 30, 2013
- Alphalogic, an easy to use tool with high level integration, control and monitoring for engineering systems and security systems
- Platypus Application Designer, a tool to develop the structure of database applications, reusable SQL queries and client/server applications
- Sypherlink Harvester, a tool collecting metadata, database statistics, sample data and more in relational and non-relational data sources
- Total Airport Management (TAM)
- Summit Management Systems, an data acquisition and floor plant monitoring tools for assembly processes
- Integrated Service Technology, a testing and analysis solution for integrated circuits
- DigiMed, a radiology software for hospitals in Mexico
- Ksenia, a security system configuration software
- Vimar, a home automation management software
- Phyloviz, a visualization software tool for Phylogenetics
- Delcam Crispin, a footwear CAD/CAM software
- Autopsy, a digital forensics platform
- Sristy Technologies, a software solutions to analyze seismic data, drilling, completion and reservoirs for the energy sector
- HEIDE, a multiprocessor microcontroller platform
- SIEUFERD, a universal user interface for relational databases
- Polaris Slipstream, an extensive data modeling application designed for NASA Mission visualization
- MammoControl DIANNA, a tools analyzing and transmitting managraphy images for the German Breast Cancer Screening Program
- IGS-Bio, a motion capture software application
- Klinika Medical Assistant, a EMR software used in the Philipines
- A series of software from Satlantic, an ocean technology company
- Mongkie, an integrated network visualization platform for biological data
- 4Vending, a vending machine management solution
- Piraso, an open source debugger and analyzer tool
- SafetyMach, a European safety requirement software
Wednesday Mar 27, 2013
By Janice J. Heiss on Mar 27, 2013
A new article published on the front page of otn/java, by Yogesh Tewari and Rajesh Kawad, of Infosys Limited Labs in Bangalore, India, titled “Real-Time Topic Modeling of Microblogs,” explores “the challenge of real-time extraction of topics from a continuous stream of incoming microblogs or tweets that are particular to an application” that they created. From a simple tweet text, the application is designed to accurately suggest relevant topics discussed in the tweet, and provide real-time timelines of topics generated from the tweet streams.
They explain that this is no simple tasks since a tweet, “considered as a text corpus, contains only 140 characters and second, given their brevity, tweets may not provide useful information and may contain different forms of text such as ‘smileys’ and short-form URLs. Finally, tweets are generated in real time.”
Yogesh and Rajesh apply LDA (latent Dirichlet allocation) to topic model tweets and make use of the Machine Learning for Language Toolkit (MALLET) API as the implementation for LDA – all performed in a Java environment. The LDA implementation is in turn encapsulated within the MALLET API, which here functions as a command line–based Java tool.
As they state: “Our targets are the actual Java classes that perform the LDA logic whose methods we invoke with required input in real-time. Storm is our choice of a free and open source distributed real time computation engine implemented in Java and running in a distributed mode. Storm is highly scalable and easily capable of handling incoming tweet streams. We use Twitter4J to stream tweets, which require valid Twitter authentication. So our task is to design a topology that will consume tweet streams and output a timeline of topics.”
Check out the article here.