Sentences with phrase «point cloud data»

Spearhead Interactive received point cloud data for the 3D scene, forensic and tachograph data for the incident, alongside all witness statements and information collected by investigators, with additional data received from the UK MET office to inform us of weather and environmental factors.

Not exact matches

The company's cloud - based software enables its users to tap directly into suppliers» data and spot pinch points across the whole supply chain.

«Major (cloud) infrastructure service providers are now also critical points for systemic failure, and any data breach or significant downtime can have a cascading effect impacting thousands of businesses, with a great potential for economic impacts,» Goddjin observes.

To Plank, it's the former, of course: «It's like, I wake up in the morning, my wearable device tells me how long I slept, and data point one beams to the cloud.

I go to the bathroom and step on the scale, and data point two beams to the cloud.

We live in a mobile world today, and almost all innovation in media and technology is happening at end points that touch people (phones, vehicles, electronics, homes) and connection points that aggregate data and extract knowledge (the cloud).

It is also fair to point out that this move continues a three - or four - year long period in which the biggest public cloud providers got bigger by virtue of massive spending on their own data center infrastructure and smaller players scrambled to stay relevant.

But Kogan rebutted this idea — saying the data had never been in his physical possession when he traveled to Russia, pointing out it was stored in a cloud hosting service in the US.

Beyond a century of collective franchising experience and among a host of key factors is a serious focus on: 1) Bright, clean and fresh - aired stores; 2) Smart store layouts; 3) State - of - the - art inventory managing, pricing and point of sale cloud - based software systems; and 4) a firm grasp on all the «big data» needed to make wise purchase and sell decisions throughout the day — every day.

Summary A cloud - based «big - data» advertising platform which enables brands with loyalty programs to leverage members» web / app usage to place ads strategically, and at the same time accelerate customer retention by offering points for active opt - in participation.

According to Joe Nocera, PwC US» cybersecurity & privacy financial services industry leader, as companies continue to move towards greater digitisation and innovation (especially when it comes to cloud and data analytics capabilities), they also increase the attack footprint and points of potential vulnerability.

That continuous 3D view consists of a cloud of millions of points generated by on - board laser mapping equipment, and it involves a huge amount of data.

«In 5 to 10 years, each individual patient will be surrounded by a virtual cloud of billions of data points,» he predicts.

In less than a decade, each of us will be surrounded by a virtual cloud of billions of points of medical data.

The scientists addressed the problem by organizing all this knowledge in a cloud - based data warehouse that integrates all 300 million data points collected in the BXD mouse population.

It is proactive rather than reactive, focuses on the individual patient, emphasizes wellness, and will create a virtual cloud of billions of health data points for each person that can be reduced to simple models about how to optimize wellness and minimize disease.

It is important to regard the LGM studies as just one set of points in the cloud yielded by other climate sensitivity estimates, but the LGM has been a frequent target because it was a period for which there is a lot of data from varied sources, climate was significantly different from today, and we have considerable information about the important drivers — like CO2, CH4, ice sheet extent, vegetation changes etc..

OpenTopography is pleased to announce the release of lidar point cloud and DEM data covering 2,775.65 km2 of the McMurdo Dry Valleys, Antarctica.

The technique calls for using a three - dimensional sensor, such as Microsoft's Kinect device, to generate a cloud of data points for the real - life object — your hand, for example.

Qualitative analysis can help an investor figure out which data points they should focus on for specific companies and industries, and can help generate good contrarian investing opportunities when a good company is temporarily clouded by poor financial ratios and performance.

My Nintendo starting with point program, coupons, e-mails, web DLs, expanding to friend list, cloud data, in - store.

My Nintendo will have a points system, discounts, friends list, cloud saves / data etc.... Probably more as well.

You could also, use the previous cloud cover data I pointed you at.

My point is that uncertainty both in theory and in data makes it conceivable (to me, anyway), that a net negative cloud feedback could be compensated by changes in forcings elsewhere.

So if at this point all GCMs hypothetically turned out to share similar flaws - e.g. regarding the unknowns for which there's essentially no data - the responses at the LGM of water vapour, clouds, aerosols etc - wouldn't that undermine validated model approaches to estimating climate sensitivity from even the LGM?

By warming the upper ocean (agrees with observations) and reducing low cloud cover (unclear from observations: ISCCP data are routinely over - interpreted / downright misrepresented on this point).

Although the chain of the actual physical mechanisms generating these cycles is still obscure, (I have argued in my previous papers that the available climatic data would suggest an astronomical modulation of the cloud cover that would induce small oscillations in the albedo that, consequently, would cause oscillations in the surface temperature also by modulating ocean oscillations), the detected cycles can surely be considered from a purely geometrical point of view as a description of the dynamical evolution of the climate system.

The common arithmetic mean is just an estimate that provides a measure of the centre value of a batch of measurements (centre of a cloud of data points, and can be written more formally as the integral of x f (x) dx.

The only climate data that goes into the models is grid data — the albedo, elevation, terrain type and average cloud cover of each grid point.

* According to the Berkeley group, the Earth's surface temperature will have risen (on average) slightly less than what indicated by NASA, NOAA and the Met Office * Differences will be on the edge of statistical significance, leaving a lot open to subjective interpretation * Several attempts will be made by climate change conformists and True Believers to smear the work of BEST, and to prevent them from publishing their data * After publication, organised groups of people will try to cloud the issue to the point of leaving the public unsure about what exactly was found by BEST * New questions will be raised regarding UHI, however the next IPCC assessment's first draft will be singularly forgetful of any peer - reviewed paper on the topic * We will all be left with a slightly - warming world, the only other certitude being that all mitigation efforts will be among the stupidest ideas that ever sprung to human mind.

Fig. 11 Tropical cloud cover and global air temperature (29) The global millennial temperature rising trend seen in Fig11 (29) from 1984 to the peak and trend inversion point in the Hadcrut3 data at 2003/4 is the inverse correlative of the Tropical Cloud Cover fall from 1984 to the Millennial trend change at cloud cover and global air temperature (29) The global millennial temperature rising trend seen in Fig11 (29) from 1984 to the peak and trend inversion point in the Hadcrut3 data at 2003/4 is the inverse correlative of the Tropical Cloud Cover fall from 1984 to the Millennial trend change at Cloud Cover fall from 1984 to the Millennial trend change at 2002.

John: Yeah, that's a good point how the new either cloud solutions or practice management software or whatever you're using might give you bigger data easier than in the past.

Actually, as Google's enterprise chief recently pointed out, your client data is probably safer on Google's cloud than on your computer.

The ranking uses five unique data points to assess apps, giving software buyers a shortlist of some of the top cloud - based solutions for their growing business.

After the primary cloud location fails, to maintain or resume operations there might be a lot of work to do (e.g., moving the «safe harbour» data to an operational site, pointing your applications to the new location of your relational database), but having to rebuild the relations in your relational database should never be necessary.

But most cloud datasets will be relational databases that have as their utility, the links that exist between the data points.

Looking back, it's hard to point to any year and say that is the year DIY legal services or cloud - based practice management software or Big Data happened.

We have reached a point in today's «post PC» environment where most lawyers accept that (a) cloud services and mobile apps exist, (b) they offer an enticing way to store and share data for a law practice, and (c) they are here to stay.

Martin points out several prior hot topic: cloud and Big Data.

3) Access Points — One of the advantages of the cloud is how it opens up the freedom to access data from a wide variety of devices and locations.

There is a lot of competition in areas such as real estate and videography, but not a great deal of competition in the more data - heavy applications like inspection, point - cloud mapping, high - precision mapping and agriculture, said Harris.

Once Windows is «getting to know you» and location is enabled, you can start using Cortana though keep in mind, from this point you're sending Microsoft a great deal of personal data, which is then stored in the cloud.

As cloud technologies and e-commerce environments continue to grow, creating multiple points of access to cardholder data, online retailers will only become more appealing targets for hackers.

2017 saw the release of the Google Cloud Machine Learning (ML) Engine to help developers with ML expertise in creating models that work on data, and the Google Cloud is aiming to make its AI capabilities become one of its platform's major selling points.

Thus each Android device backing data up into the cloud is essentially helping Google add to the already extensive maps of Wi - Fi access points built up over the years.

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