I think of the most interesting points about the National Instruments paper is re: differentiation, i.e. not about gathering the most data, but understanding it faster. This will be a key factor as use of mobile instrumentation begins to rise.
That's very true naperlou. Critical thinking is becoming a lost skill for most. The economic divide that's discussed in technology isn't just in access to devices. There's a divide in the skills learned in school for analyzing and understanding information.
Definitely not surprising that mobile technology is having such an influence, but agree that this distinction is interesting. It seems that quality not quantity is a factor at work here, as it is in a lot of data-acquisition strategies.
Influence of mobile technology on data aquisition raises the issue of security. Mobiles are used in banking transactions, access company's private informations like emails. Mobiles have become target for the hackers. To overcome mobile security threats, there is a need to develop anti-virus software apps for mobiles.
I would think that monitoring applications are the vast majority of where apps will be used at least in the short term. That reduces security concerns significantly because the emphasis is on viewing data.
Indeed there is a great evolution in the mobile technology, engineers are working very keenly to enhance the mobile technology so that different types of information can be transfered from the device to the mobile .Transfering data from device to mobile is not as simple as we consider because it needs an interface that can match with the mobile and the device .Applications have to be developed by the engineers .
I couldn't agree more. The ability to shift through this large amount of data quickly will differentiate future tools. Mobile security is a major concern. I call out some specific steps to help combat mobile security threats but more effort is needed by industry. The US Navy might (in proposal phase) spend $1M to make Android more secure. These type of efforts on an open platform really benefit everyone. Great comments everyone and awesome post Al! - Grant Heimbach, LabVIEW Product Marketing Manager, firstname.lastname@example.org
Are they robots or androids? We're not exactly sure. Each talking, gesturing Geminoid looks exactly like a real individual, starting with their creator, professor Hiroshi Ishiguro of Osaka University in Japan.
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.