VISION Data Analyzer Version 3.6
Now Available
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ATI is happy to announce that the latest release of VDA is now available on ATI’s support portal. VDA version 3.6 includes new features as well as significant performance and usability improvements.
To download the most up-to-date version, please log into the ATI support portal at the link below.
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New Feature Highlights:
- All Zoom functions now mirror VISION’s behavior
- Two new Data Grid views
- Local Data Grid view on a Trace Page
- Separate Data Grid Page
- Calculated Channel optimizations
- Display optimizations to increase the available plot area and optimized the graph legend for space and readability
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ATI is Looking for Beta Testers
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Calling all VISION Calibration and Data Acquisition Software users! ATI is always looking for user feedback and would like to grow its beta user base. If you’re interested in getting first access to all of ATI's latest updates, here’s your official invite to join! Click the link below to contact your local sales representative. Upon qualification, your account manager will contact you with details to get started.
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ATI China Moves to New Location
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Effective February 1st, ATI China will have moved to a new office location. The new location is closer to the subway station, and provides more accommodations for future customer visits and training.
Thanks to diligent planning, there will be little to no downtime while the move is completed. If you have any questions about the new location or ATI services, please do not hesitate to reach out. Please make sure to update your ATI China contact information.
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Room AB107-2, R&D Plaza,
No. 30 Shuangqing Road,
Haidian District, Beijing 100084
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北京市海淀区双清路30号
学研大厦AB107-2房间
邮编100084
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While ATI China's address may have changed, the phone number and support/sales emails remain the same:
+86 13810236357
sales_cn@accuratetechnologies.com
support_cn@accuratetechnologies.com
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Using Digital Traces in VDA
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In ‘VISION Data Analyzer’ traces can be represented/viewed in a digital format. Digital traces are displayed as a straight horizontal and vertical line representing an ‘On/Off’ state of the data. The ‘On’ state is set, via basic inequalities, to capture instances such as spikes/drops that are out of a desired range in a trace(s). Changes of state(s) can be quickly identified in instances above, below, equal to, or a combination for a set value(s). ‘On’ state reveals when and how long these occurrences happened.
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