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  1. 4 likes
    Intel announced a new family of “Core X” desktop processors at Computex yesterday, offering even more powerful versions of its existing Core i5 and Core i7 models, along with a new, top-of-the-line Core i9 line for those who want even more firepower. Last year at Computex, Intel unveiled its first 10-core consumer CPU, the company's move into the world of a "megatasking." It was a pricey chip, launching at around $1,700, but it satisfied users who needed to juggle several intensive tasks at once. Now, Intel is upping the ante with a new family of processors for enthusiasts, the Core X-series, and it's anchored by the company's first 18-core CPU, the i9-7980XE. Priced at $1,999, the 7980XE is clearly not a chip you'll see in an average desktop. Instead, it's more of a statement from Intel. It beats out AMD's 16-core Threadripper CPU, which was slated to be that company's most powerful consumer processor for 2017. And it gives Intel yet another way to satisfy the demands of power-hungry users who might want to do things like play games in 4K while broadcasting them in HD over Twitch. And, as if its massive core count wasn't enough, the i9-7980XE is also the first Intel consumer chip that packs in over a teraflop's worth of computing power. If 18 cores is a bit too rich for you, Intel also has other Core i9 Extreme Edition chips in 10-, 12-, 14- and 16-core variants. Perhaps the best news for hardware geeks: The 10 core i9-7900X will retail for $999, a significant discount from last year's version. All of the i9 chips feature base clock speeds of 3.3GHz, reaching up to 4.3GHz dual-core speeds with Turbo Boost 2.0 and 4.5GHz with Turbo Boost 3.0. And speaking of Turbo Boost 3.0, its performance has also been improved in the new Extreme Edition chips to increase both single and dual-core speeds. Rounding out the X-Series family are the quad-core i5-7640X and i7 models in 4-, 6- and 8-core models. While it might all seem like overkill, Intel says its Core i9 lineup was driven by the surprising demand for last year's 10-core chip. "Broadwell-E was kind of an experiment," an Intel spokesperson told Engadget. "It sold ... proving that our enthusiast community will go after the best of the best... Yes, we're adding higher core count, but we're also introducing lower core counts. Scalability on both ends are what we went after." As you can imagine, stuffing more cores into a processor leads to some significant heat issues. For that reason, Intel developed its own liquid cooling solution, which will work across these new chips, as well as some previous generations. All of the new Core i9 processors, along with the 6- and 8-core i7 chips, feature scorching hot 140W thermal design points (TDPs), the maximum amount of power that they'll draw. That's the same as last year's 10-core CPU, but it's still well above the 91W TDP from Intel's more affordable i7-7700K. Over the past few years, Intel's laptop chips have been far more interesting than its desktop CPUs. Partially, that's because the rise of ultraportables and convertible laptops have shifted its focus away from delivering as much computing power as possible, to offering a reasonable amount of processing power efficiently. The new Core i9 X-series processors might not be feasible for most consumers, but for the hardware geeks who treat their rigs like hot rods, they're a dream come true. Source - Engadget, The Verge
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    The 2017 Capacity Building Workshop of Satellite Remote Sensing for Southeast Asian Scientists is organized by the Center for Space and Remote Sensing Research, National Central University (CSRSR, NCU), Taiwan. This workshop is officially supported by the Ministry of Science and Technology, Taiwan. The purpose of this workshop is to provide a platform for young scientists to learn knowledge and experience hands-on practices. In addition, it is an excellent opportunity to meet internationally well recognized scholars in remote sensing to share their valuable experiences and knowledge with young scientists. Themes Satellite Remote Sensing Infrastructure in Taiwan Satellite Remote Sensing Applications in Asia Integration of Active/Passive Remote Sensing, GNSS and GIS Spatial Information, Sciences and Applications The expenses for each participant will be covered by the workshop Round Trip Airfare: based on Economy Class (According to MOST rule, airfare is subject to change) Accommodation Visa fee ( only when applicable, not covering the travel expenses to and from the Embassy or Consulate for applying a visa or other related documents) The application is open from June 12 to July 7 and the results of acceptance will be announced by July 17 via email Visit http://www1.csrsr.ncu.edu.tw/workshop/index.php for detail information about the workshop
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    Job Vacancy as Spatial Information Officer for Tasmania Fire Service - based in Launceston. Applications must be submitted by Monday 26 June, 2017 11:55 PM (AEST) Provide GIS and desktop mapping support to assist in planning, preparedness, response and recovery for bushfire risk assessment and strategic fire management planning. Investigate, coordinate, develop, implement and refine operational systems and procedures for data acquisition, data integration, data maintenance and operational response. http://careers.jobs.tas.gov.au/cw/en/job/495448/spatial-information-officer-003955
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    urns out WiFi is good for more than just sharing cat GIFs with your friends. Researchers at the Mostofi Lab at UC Santa Barbara have created a system that "sees" inside buildings using two drones and WiFi. To pull this off, the drones are each equipped with WiFi transceivers and fly in tandem outside the target building. One of the UAVs then transmits a WiFi signal while the second one reads the corresponding received power. Throw in a bunch of advanced math and the data is translated into a 3D image of the internals of the building with some impressive results. The Mostofi Lab is no stranger to using radio waves to penetrate walls. In 2010 it published its first demonstration of imaging using WiFi. "However, enabling 3D through-wall imaging of real areas is considerably more challenging due to the considerable increase in the number of unknowns," professor Yasamin Mostofi told UCSB's The Current. This research could help emergency response teams do sweeps of buildings without putting first responders in unnecessary danger. The lab also noted it could be used for archaeological and structural monitoring. source : https://www.engadget.com/2017/06/19/researchers-map-a-building-in-3d-using-wifi-enabled-drones/
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    Many of my clients have been supplied with LAS and LAZ files that haven't had any ground point return classifications performed on them which makes it nearly impossible generate a contour map or surface model. There's a great open source tool called MCC-LIDAR which performs this function very well but it is a command line app and only compiled for 32-bit systems so the number of points it can handle is somewhat limited. There are a couple commercial products that perform ground classification but they are extremely costly and some even require annual subscriptions. I've written a GUI version of MCC-LIDAR and compiled it for 64-bit editions of Windows and released it as freeware. It has successfully classified the ground returns on a file with 83+ million points and should have no trouble on larger point clouds/point sets. You can download a copy here: MCC-LIDAR GUI and see my other apps here: LIDAR Widgets
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    glad you made it, keep your good work
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    I've figured what's wrong with my query :-D SELECT Point.id, Point.geom, Box.Postcode, CASE WHEN Box.postcode = 'A' THEN 'A' WHEN Box.postcode = 'B' THEN 'B' WHEN Box.postcode = 'C' THEN 'C' ELSE 'No postcode' END AS PointPostcode WHERE ST_Intersects(Box.geom, Point.geom)
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    What this have to do with the question above? I mean, my worries are about generating the ortomosaic in the first place. But answering, semi-automatic for me when vectorizing. And lots of image processing either.
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    For updated version you may try. http://blogs.esri.com/esri/arcgis/2014/11/18/the-build-elevation-mosaic-tools-toolbox-is-now-available/ Thanks.. :) :)
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    I simply meant using GPSMapEdit to save your garmin img as polish format then use global mapper to extract (export) to esri arcgis shapefile...
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    Water Balance Toolbox for ArcGIS (for ArcGIS version 9.2) Download + data sample [hide] http://www.ohio.edu/people/dyer/WB_Demo.zip [/hide] Tutorial [hide] http://www.ohio.edu/people/dyer/Water_Balance_User_Manual.pdf [/hide] websites : [hide] http://www.ohio.edu/people/dyer/water_balance.html [/hide] enjoy it :cheesy: