Touting an expanding partner network, Aras continues to push the envelope with open source Product Lifecycle Management (PLM), including its latest joint development effort with NorthRidge Software. NorthRidge, a developer of advanced search solutions, has signed on to the Aras partner program to develop a sophisticated search solution for Aras Innovator based on Apache Lucene, an open source search engine.
The NorthRidge solution will provide users with a fast and secure interface for accessing the full range of complex data sets managed in Aras Innovator as well as information stored in other venues, including intranets, Microsoft SharePoint, file shares or any where else engineering or product development-related content is captured. Using the new search capability, users of Aras Innovator will be able to locate engineering drawings, documents and other information simply by searching on keyword terms, phrases used within the content or other metadata value. Searches are performed using a familiar Google-style user interface and the results are presented with the most relevant documents appearing at the top of the list.
Robots that walk have come a long way from simple barebones walking machines or pairs of legs without an upper body and head. Much of the research these days focuses on making more humanoid robots. But they are not all created equal.
The IEEE Computer Society has named the top 10 trends for 2014. You can expect the convergence of cloud computing and mobile devices, advances in health care data and devices, as well as privacy issues in social media to make the headlines. And 3D printing came out of nowhere to make a big splash.
For industrial control applications, or even a simple assembly line, that machine can go almost 24/7 without a break. But what happens when the task is a little more complex? That’s where the “smart” machine would come in. The smart machine is one that has some simple (or complex in some cases) processing capability to be able to adapt to changing conditions. Such machines are suited for a host of applications, including automotive, aerospace, defense, medical, computers and electronics, telecommunications, consumer goods, and so on. This discussion will examine what’s possible with smart machines, and what tradeoffs need to be made to implement such a solution.