Adobe After Effects CC 2017 14.0 + Universal Patch by Painter | FullSoftAppz
Adobe After Effects CC 2017 - one of the industry's leading application for the development of animation and creative compositions, lets you create professional graphics and visual effects for cinema screens, television and web sites, which can be downloaded for free on cwer.ws.
The name is derived from the effect known as "resistance (inertia) visual sensation", this mechanism uses a sensory memory of the retina of the eye that allows you to store visual information within a short period of time. With an extensive library of plug-ins developed by third-party companies, AfterEffects is also used in the printing and graphic design to edit static graphic images (photos, images, computer-generated, and so on. D.)
New Adobe After Effects CC 2017:
Mechanism of 3D-rendering. The new mechanism of Cinema 4D 3D-rendering improves processor performance and allows you to create elements such as text and layers of elongated figures directly in After Effects.
Creative Cloud Group Projects (beta). Interact with other members of the group and share materials group projects in several Creative Cloud applications. After Effects application supports embedded version control function, conflict resolution, and tracking actions that are available from any other applications and does not require additional equipment. These features are now available in Creative Cloud for workgroups and organizations.
Reproduction in real time. For better performance, it is possible to reproduce most of the raw material captured in real time, without caching or pre-rendering.
Accelerated application of effects and interactive features. Get rid of imperfections in the work process and work even faster thanks to the effects of GPU acceleration and enhanced Dynamic Link feature, which eliminates the need for intermediate rendering while simultaneously dealing with applications Premiere Pro and After Effects.
Improved templates interactive text. You can now combine all of their songs in one file and templates to easily share interactive text through Premiere Pro.
Improvements Character Animator. Modifying the puppet in Photoshop and Illustrator - changes are saved faster with improved performance Character Animator. You can also switch between applications Character Animator, After Effects and Premiere Pro using Dynamic Link function.
Typekit updates. In Typekit Marketplace store, you can buy fonts from leading designers and use them in After Effects projects. Instantly sync your purchased fonts devices and embed them directly into the composition.
Improvements Creative Cloud Assets. Perform backup and restore, add comments, and view the version history of all your resources, Creative Cloud, including files in libraries Creative Cloud Libraries, resources created in CC applications for desktop computers, and mobile projects.
Common templates. To members of your workgroup and freelancers we have always used the same initial resources, create your own template of the new project with the specified directory and file structure of flowers and publish it in the Creative Cloud folders.
date and time markers. To keep track of several works that are based on the same file, add the date and time markers in the output file name pattern.
And much more. Other improvements: better support for UI on the Retina displays, improved markers, improved scenario, improved exporting Adobe Media Encoder, better reallocation of time, built-in template for the 360-degree equirectangular monoscopic video viewing, and more.
System Requirements:
Intel Core2 Processor or AMD Phenom II with support for 64-bit OS
Microsoft Windows 7 SP1, Windows 8 or Windows 8.1
4GB of RAM (8GB recommended)
5 GB of free hard disk space; during installation requires additional free space (the product can not be mounted on a removable flash memory device)
Additional disk space for disk cache (10GB recommended)
The display with a resolution of 1280 x 1080
The system supports OpenGL 2.0
Software QuickTime 7.6.6 software required for QuickTime support functions
The smart city concept is developing very quickly around the world, because it provides a comprehensive digital environment that improves the efficiency and security of urban systems and reinforces the involvement of citizens in urban development. This concept is based on the use of geospatial data concerning the urban built environment, the natural environment and urban services. The successful implementation of a smart city project requires the development of a digital system that can manage and visualise the geospatial data in a user-friendly environment. The geographic information system (GIS) offers advanced and user-friendly capabilities for smart city projects. This article shows how a GIS could help in the implementation of smart city projects and describes its use in the construction of a large-scale model of the smart city.
The ‘smart city’ concept aims at developing a comprehensive system that uses geospatial data to enhance the understanding of complex urban systems and to improve the efficiency and security of these systems. This geospatial data concerns (i) the urban built environment such as infrastructure, buildings and public spaces, (ii) the natural environment such as biodiversity, green spaces, air quality, soil and water, and (iii) urban services such as transport, municipal waste, water, energy, health and education. The smart city concept also aims at transforming the ‘silo-based’ management of cities into a ‘shared’ system that involves urban stakeholders in the design, realisation and evaluation of urban projects.
Figure 1: Steps for the implementation of smart city projects.
The emergent technology enables cities to achieve more agile management that improves the quality of life for citizens, enhances the economic development, improves the attractiveness of the city and reinforces the involvement of citizens in the city government. Indeed, the smart city concept provides the city managers with pertinent information about the performance of urban infrastructure and services, as well as users’ feedback. Analysis of this data allows policymakers and city managers to improve the efficiency of the urban system as well as the quality of urban services. This concept is particularly pertinent for the security and resilience of the city. It allows collection of data concerning how the city infrastructure and stakeholders respond to urban hazards. Analysis of this data provides greater understanding of the behaviour of urban systems (infrastructure, public services, emergency response, etc.) during urban crises or disasters, and consequently enables improvements to the city’s capacity to address the resiliency challenges. The smart city concept offers the possibility to confine a local fault and to prevent its spread to larger areas.
Use of GIS in smart city projects
The implementation of smart city projects is based on a number of steps (Figure 1) including the construction of the urban digital model, data collection using the sensing layer, then data analysis, interactive data visualisation and system control. GIS plays a role in these steps, as described below.
Construction of the urban digital model
The first step in the implementation of smart city projects concerns the construction of the urban digital model that describes the components of the urban built and natural environments. For each urban component, the digital model provides the geolocalisation and characteristics (attributes). GIS is generally used for the construction of the digital model of urban ‘horizontal components’ such as urban networks, transport facilities and natural environment, while building information modelling (BIM) is used for the description of ‘vertical components’ such as buildings. The combination of GIS and BIM provides a powerful tool for the construction of the urban digital model with georeferenced data and the visualisation of this data in a user-friendly environment.
Figure 2: Sensors used in water and energy utilities monitoring.
Sensing layer
The second step in smart city projects concerns the construction of the sensing layer that transfers urban operating data to the smart city information system. This layer includes sensors used for monitoring urban networks and infrastructures. Data could also be enhanced by images, videos and audio files resulting in the construction of urban big data. Figure 2 shows examples of sensors used in monitoring water and energy utilities. The drinking water system uses automatic meter readers (AMRs) to record water consumption, pressure sensors to record water pressure and water quality devices to track the water quality (turbidity, pH, chlorine, conductivity). The drainage system uses sensors to monitor the water level and flow, water quality (turbidity, temperature, pH, etc.) and pumping equipment. It allows early detection of flood and faults in pumping equipment. The electrical grid uses sensors to measure the electrical tension, current and frequency. It allows early detection of faults in the electrical grid. The district heating system is monitored by sensors to record fluid temperature, pressure and flow as well as the state of the valve. It allows early fault detection and the improvement of the system performance. GIS offers the possibility to visualise the monitoring system as well as the sensors’ characteristics and status. It also provides the possibility to visualise real-time and historical data on GIS maps.
Figure 3: GIS system of the electrical grid (red: high-tension line, blue: low-tension line)
Data analysis
The third step in implementing a smart city project concerns the development of the analytic environment, which converts real-time and historical data into operational data that improves the security, efficiency and quality of urban systems. The analytic environment includes engineering, management and safety software for urban systems as well as advanced digital tools such as artificial intelligence (AI). In smart city projects, GIS provides tools for (i) geospatial data analysis (distance and directional analysis, geometrical processing, grid models), (ii) spatiotemporal analysis, (iii) spatial statistics (spatial autocorrelation and egression), (iv) surface analysis (surface form and flow analysis, gridding and interpolation methods) and, (v) location analysis (shortest path calculation, facility location).
Interactive data visualisation
Interactive data visualisation allows users to interact with the smart city’s components and the stakeholders in a user-friendly environment. Web applications are used to create this interactive environment. The use of HTML popups enables users to access web-based content such as graphics referenced by URLs. The interactive GIS graphic environment allows the visualisation of urban components and sensors maps. Users and managers can utilise these maps to access static and dynamic data concerning urban systems as well as to update the data.
Figure 4: Use of GIS to visualise the equipment of the storm-water system in the SunRise project.
Control layer
Data analysis of historical and real-time data results in commands for the optimal and safe management of urban systems. These commands are transmitted to the control layer, which includes different electronic devices such as smart valves, pumps, motors, switches, breakers and locks. The GIS system allows real-time visualisation of these devices as well as their status. It could also visualise faults in device command.
SunRise smart city project
The SunRise smart city project was aimed at the construction of a large-scale model of the smart city at Lille University’s scientific campus. The campus is equivalent to a small town, with 145 buildings, about 25,000 users and 100km of urban utilities.
The first step of the SunRise project included the collection of asset data about the campus utilities and integration in the SunRise GIS system. The data concerned linear components such as pipes and lines and their attributes (diameter, material, age, etc.) as well as utilities-related equipment such as valves, hydrants, pumps, substations, manholes and tanks. Figure 3 shows the use of GIS for the electrical grid of the campus. The GIS map provides the grid architecture as well as attributes of the grid components including the electrical lines and substations. Figure 4 shows the GIS map of the storm-water system and the relevant equipment (valves, flow regulator, retention tank and lifting station).
Figure 5: Use of GIS to visualise the maintenance of the sanitation system in the SunRise project.
The SunRise GIS system also included inspection and maintenance data. Figure 5 shows images of the video inspection of the sanitation system. For each component of this system, the management team can gain access to the maintenance history and reports including images and videos. The team can also conduct geospatial analysis of maintenance data for the optimisation of renovation and maintenance costs.
The monitoring system was also integrated in the SunRise GIS system. Figure 6 shows the smart monitoring of the drinking water network. It includes automatic reading meters (AMRs) for the water supply and consumption as well as pressure meters. The team manager can directly access information about the sensors and visualise the consumption history. The team can also compare the consumption of buildings and use data analysis to show abnormal consumption levels.
Conclusion
This article has presented the use of the GIS in the implementation of smart city projects. Since smart city projects are based on the collection, analysis, sharing and visualisation of data concerning urban systems and services, GIS provides powerful capacities for a successful implementation of such projects. GIS allows smart city managers to utilise a user-friendly and widely used digital system in the management of urban systems. GIS was used in the construction of the SunRise smart city demonstrator at the Lille University campus. The use of GIS facilitated effective cooperation between around 20 young researchers and the campus team management. GIS was used to store, share and analyse data concerning the campus utilities as well as their maintenance and monitoring.
Acknowledgement
The author would like to thank Nitivat Voraditee from Lille University for his contribution to this article.
Figure 6: Use of GIS to visualise the monitoring system of the drinking water network in the SunRise project.
Download Microsoft Office 2016 Free with Keys + (Torrent Download)
Download Microsoft Office 2016 Free with Keys + (Torrent Download)
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This page describes how to monetize your search engine by associating your AdSense account with your search engine.
Overview
You can make money with your search engine by connecting it with your Google AdSense account. AdSense is a free program that gives you a fast and easy way to display relevant Google ads on your result pages. When users click on an ad in your search results, you get a share of the ad revenue. For more information about AdSense, see the Help Center.
If you don't have an AdSense account, you can apply for one by going to Google AdSense website. If you already have an AdSense account, don't create a new one; just associate the existing one with your search engine. All search engines in your account will automatically be associated with that AdSense account.
You can also associate your existing AdSense account with your search engine in the context file by following these steps:
Associate the AdSense publisher ID with the search engine.
Finding Your AdSense ID
If you already have an AdSense account, you can find your unique AdSense publisher ID by signing in to your AdSense account. Your publisher ID number is above the help search box in the top corner. Alternatively, you can find your publisher ID within the generated AdSense code that you insert in the HTML code of your webpage. Locate the line that has: google_ad_client="pub-1234567890123456" ; the number is the ID.
How to Get Your Business to Show Up on Google and Rank Well
If you want your business to rank well online, you should click here to learn how to get your business to show up on Google and have a high ranking.
When customers are looking for a business or service, the first thing they do is open up Google. If you want your customers to be able to find you, showing up on the first page of the Google search results is essential.
Wondering how to get your business to show up on Google? There are some simple things you can do to your business’s website to ensure that it shows up high in the Google search results. Read on to find out everything you need to know!
Content Is King
There’s a saying in the SEO world, “content is king.” Essentially, this means that the content on your business’s website is the most important factor in showing up on Google. For your website to rank well, which means showing up high in the search results, the content on your website needs to be high-quality, relevant, and informative.
How can you make sure that your content is good enough to land your website in the top search results? Think of the information that your customers are looking for and include that in your website’s content.
Your website should have an informative “About” page that explains what your business does, who you serve, and a bit of your history. You should also have pages that detail your products or services, with all the information your customer needs to know.
And of course, all this content needs to be well-written–grammatically correct with no spelling errors! This matters to the search engines as much as it matters to your customers.
Keyword Optimization
If you’ve started looking into SEO techniques then you’ve probably run into the term keyword optimization. This refers to the process of including relevant search terms in your website content. Think of this as another level of “content is king.”
So how do you optimize your content with relevant keywords? First, brainstorm the searches that a customer might perform to find your business.
For example, if you’re a doggy daycare, then customers might search for “dog kennel in my area.” In this case “dog kennel” is the relevant keyword. So, make sure that you include the words “dog kennel” in your website content.
But don’t just put the words “dog kennel” on your site out of context! Google wants to make sure that you’re using keywords in content that are relevant to customers. So, make sure that you’re using “dog kennel” in well-written content about your business.
Consider Sponsored Advertising
Google has two kinds of search results–organic and paid. Organic search results are the ones Google delivers based on what their algorithms determine is the most relevant content. Writing relevant content and focusing on keyword optimization mostly helps with organic search results.
Google also has a service called Google AdWords, which is paid advertising. Essentially, you pay Google to run your ads as part of their search results. These results show up “Sponsored Ads” on the top of the search results.
If you have the budget for paid digital advertising, which you should these days, consider Google AdWords as another way to guarantee that you show up on Google.
More Info on How to Get Your Business to Show Up on Google
This is just a quick primer on how to get your business to show up on Google. There are plenty more tips that will help you optimize your website to ensure customers can find you when they search on Google.
For more information about doing business in the digital world, check out our blog!
Hey there, this is SolutionHow and you are going to learn about the complete setup of Facebook Videos Monetization. How to check eligibility standards and enable them quickly.
Ad breaks are short 10 seconds ads, you can include these ads on your copyright videos, facebook automatically place these ads between the videos after you can complete setup of your page.
Requirements for page eligibility:
Page likes and Followers = 10,000
1 minute views on 3 minute videos = 30,000
Page Eligible For Monetization Standards
Country Availability
Minimum Page Likes
If you want to eligible your page for monetization your page must be 10,000 likes and followers, this is the initial requirements if your page has less than 10,000 likes then your page is not eligible for monetization.
1-minute views on 3-minute videos
Your page must have 3 or more minute long videos. Facebook requires 30,000 views on minimum 1 minute watching time on 3-minute videos in last 60 days, If you have videos page and your page are fulfill on these requirements, so you are eligible to be facebook terms and conditions.
Monetization Eligibility Standards
Your content must be copyright and you have no copyright issue on your page. By using your own content, you must be eligible for monetization
Country Availability
Facebook just announce videos monetization for publishers in some countries, if your country is eligible for videos monetization, in my case see the below image its red this mean country is not eligible for videos monetization, if this show you green signal, its mean you are eligible for videos monetization.
Facebook Videos Monetization Eligibility Check
How To Check Facebook Page Eligibility Requirements
If you want to check your page eligibility go on Facebook Page Videos Monetization Check, this page helps you to find eligibility of the page, it is eligible or not for facebook videos monetization.
If you have any issue about Facebook videos monetization, feel free give your feedback in the comment section.
GIS software encompasses a broad range of applications, all of which involve the use of some combination of digital maps and georeferenced data. GIS software can be sorted into different categories.[1] Below is a list of notable GIS software applications. Please update the listing of software below with respect to the different categories.
Open source software
The development of open source GIS software has - in terms of software history - a long tradition[2] with the appearance of a first system in 1978. Numerous systems are nowadays available which cover all sectors of geospatial data handling.
Desktop GIS
The following open source desktop GIS projects are reviewed in Steiniger and Bocher (2008/9)[3]:
gvSIG 1.0
GRASS GIS 6.4
Capaware rc1 0.1
SAGA-GIS v. 2.0.3
Whitebox GAT 1.0.2
IDRISI Taiga 16.05
GRASS GIS – Originally developed by the U.S. Army Corps of Engineers, open source: a complete GIS
SAGA GIS – System for Automated Geoscientific Analysis- a hybrid GIS software. SAGA has a unique Application Programming Interface (API) and a fast growing set of geoscientific methods, bundled in exchangeable Module Libraries.
Quantum GIS – QGIS is an Open Source GIS that runs on Linux, Unix, Mac OS X, and Windows.
MapWindow GIS – Free, open source GIS desktop application and programming component.
ILWIS – ILWIS (Integrated Land and Water Information System) integrates image, vector and thematic data.
uDig – Open source GIS desktop application (API and source code (Java) available).
gvSIG – Open source GIS written in Java.
JUMP GIS / OpenJUMP – (Open) Java Unified Mapping Platform (the desktop GIS OpenJUMP, SkyJUMP, deeJUMP and Kosmo emerged from JUMP; see [3])
other:
Whitebox GAT – Open source and transparent GIS software
Kalypso (software) – Kalypso is an Open Source GIS (Java, GML3) and focuses mainly on numerical simulations in water management.
TerraView – GIS desktop that handles vector and raster data stored in a relational or geo-relational database, i.e. a frontend for TerraLib.
Capaware – Capaware is also an Open Source GIS, an incredible fast C++ 3D GIS Framework with a multiple plugin architecture for geographic graphical analysis and visualization.
FalconView – FalconView is a mapping system created by the Georgia Tech Research Institute for the Windows family of operating systems. A free, open source version is available.
Other GIS tools - classified
Note, for different categories of GIS tools see GIS software and [1].
WebMap Server
Mapnik - C++/Python library for rendering - used by OpenStreetMap
GeoServer
MapGuide Open Source – Web-based mapping server.
MapServer – Web-based mapping server, developed by the University of Minnesota.
Spatial Database Management Systems
PostGIS – Spatial extensions for the open source PostgreSQL database, allowing geospatial queries.
TerraLib is a spatial DBMS and also provides advanced functions for GIS analysis.
SpatiaLite – Spatial extensions for the open source SQLite database, allowing geospatial queries.
Software Development Frameworks and Libraries (non-web)
GeoTools – Open source GIS toolkit written in Java, using Open Geospatial Consortium specifications.
GDAL / OGR
Orfeo toolbox
Software Development Frameworks and Libraries (for web applications)
OpenLayers – open source AJAX library for accessing geographic data layers of all kinds, originally developed and sponsored by MetaCarta.
MapFish
GeoBase (Telogis GIS software) - Geospatial mapping software available as a Software development kit, which performs various functions including address lookup, mapping, routing, reverse geocoding, and navigation. Suited for high transaction enterprise environments.
Cataloging application for spatially referenced resources
GeoNetwork opensource – A catalog application to manage spatially referenced resources
Other GIS tools - unclassified
ST-Links – Connection tool for working with ArcMap and spatial databases PostGres/PostGIS, SQL Server spatial.
Chameleon – Environments for building applications with MapServer.
MapPoint, a technology ("MapPoint Web Service," previously known as MapPoint .NET) and a specific software program created by Microsoft that allows users to view, edit and integrate maps.
Notable commercial or proprietary GIS software
Desktop GIS provider
Note: Almost all of the below companies offer Desktop GIS and WebMap Server products. Some offer Spatial DBMS products as well.
COMPANIES WITH HIGH MARKET SHARE
Autodesk – Products include Map 3D, Topobase, MapGuide and other products that interface with its flagship AutoCAD software package.
Bentley Systems – Products include Bentley Map, Bentley Map View and other products that interface with its flagship MicroStation software package.
ERDAS IMAGINE by ERDAS Inc; products include Leica Photogrammetry Suite, ERDAS ER Mapper, and ERDAS ECW JPEG2000 SDK (ECW (file format))are used throughout the entire mapping community (GIS, Remote Sensing, Photogrammetry, and image compression).
Esri – Products include ArcView 3.x, ArcGIS, ArcSDE, ArcIMS, ArcWeb services and ArcGIS Server.
Intergraph – Products include G/Technology, GeoMedia, GeoMedia Professional, GeoMedia WebMap, and add-on products for industry sectors, as well as photogrammetry.
MapInfo by Pitney Bowes – Products include MapInfo Professional and MapXtreme.
Smallworld – developed in Cambridge, England (Smallworld, Inc.) and purchased by General Electric and used primarily by public utilities.
COMPANIES WITH MINOR BUT NOTABLE MARKET SHARE
Aquaveo - Developers of GMS, WMS, SMS, which are modular hydrology programs with 3D mapping features.
Cadcorp – Products include Cadcorp SIS, GeognoSIS, mSIS and developer kits
Caliper – Products include Maptitude, TransModeler and TransCAD
Dragon/ips – Remote sensing software with some GIS capabilities.
ENVI - Utilized for image analysis, exploitation, and hyperspectral analysis.
Field-Map : GIS tool designed for computer aided field data collection, used mainly for mapping of forest ecosystems.
IDRISI – GIS and Image Processing product developed by Clark Labs at Clark University. Affordable and robust, it is used for both operations and education.
RegioGraph by GfK GeoMarketing; GIS software for business planning and analyses; company also provides compatible maps and market data.
Spatial DBMS
VMDS version managed data store from smallworld
Boeing's Spatial Query Server spatially enables Sybase ASE.
DB2 – Allows spatial querying and storing of most spatial data types.
Informix – Allows spatial querying and storing of most spatial data types.
Microsoft SQL Server 2008 – The latest player in the market of storing and querying spatial data. At this stage only some GIS products such as MapInfo and Cadcorp SIS can read and edit this data while ESRI and others are expected to be able to read and edit this data within the next few months
Oracle Spatial – Product allows users to perform complex geographic operations and store common spatial data types in a native Oracle environment. Most commercial GIS packages can read and edit spatial data stored in this way.
PostGIS – a spatial database based on the free PostgreSQL database
Spatial ETL Tools
Safe Software – Spatial ETL products including FME Desktop, FME Server and the ArcGIS Data Interoperability Extension.
ST-Links PgMap for converting spatial data between databases and feature classes. It is and connection tool for ArcMap to view/edit/convert spatial data in databases systems.
