Re: تطبيقات Tv Smart
Kirby Apodaca
Some smart applications are custom-made for the needs of an organization. For example, a company might aggregate data from sensors in place at the soap dispenser to alert staff when the dispenser needs refilling.
A general term that encompasses all autonomous technologies which generate outputs based on computer-generated pattern recognition. AI is the system of collecting and cleaning data sets, as well as the algorithmic processing and synthesis of that data.What is artificial intelligence in easy words?
Refers to the rapid scale transformation of an organization with automation that increases efficiency. More specifically, the term tends to be used to describe the productivity gains that stem from workflow automation.
An area of computing that begins with structured data as inputs, a model to train this data, and the discover of patterns in the data set, often to generate outputs based on these patterns.What is the difference between AI, ML, and DL?
Recent U.S. Census Bureau data revealed that all but one of the twenty largest cities in the U.S. experienced population growth in 2019. Interestingly, with the exception of New York City, the fifteen cities that experienced the greatest population growth were located in the southern and western portions of the country.
As this migration trend continues, cities will need to become more efficient in order to keep up with the surging population. Thus, smart cities supported by applications of the Internet of Things (IoT) will start to become the norm in the major metropolitan areas around the world.
According to a recent survey from Daintree Networks, almost 60% of building managers in the U.S. are familiar with IoT. Further, 43% believe that in the next two to three years, the IoT will shape how they operate their buildings. One area that would benefit from IoT technologies lies in lighting, as building managers could switch to LED bulbs in order to save energy and money.
Earlier this year, London announced that it would begin tests on a smart parking project that would allow drivers to quickly locate parking spaces rather than spending copious amounts of time conducting lengthy searches for an open spot. This, in turn, is projected to lessen urban traffic congestion. Additionally, London also plans on testing electric car and bike-sharing programs.
Even though North America is the most urbanized region in the world, with more than 80% of its population in urban centers, it has fallen behind in the adoption of smart cities. Yet, there are plenty of smart city solutions related to public safety and traffic that are up and running.
For instance, New York City has tested gunshot detection technology in police precincts in the Bronx and Brooklyn, and the mayor wants to expand this testing around the city. Camden, New Jersey has also implemented similar smart city technology.
In 2015, the Big Apple also piloted a connected car program. Its goal? Learn where drivers make frequent hard brakes or sharp turns because of traffic. This open data could then be used by officials alleviate traffic and improve road conditions.
When cities face issues brought on by population density, a plethora of problems can arise, such as air pollution, freshwater scarcity, mountains of garbage, and an increase in traffic. How can we deal with these challenges? According to Finextra, smart cities can leverage IoT and smart technologies in the following ways:
Digital technologies are becoming increasingly important for cities to have the conditions for continuous development; buildings and urban infrastructures must be planned more efficiently and sustainably. Cities should also invest in electric cars and self-propelled vehicles to keep CO2 emissions low. In fact, intelligent technologies to achieve an energy-efficient and environmentally friendly infrastructure. For example, to reduce the need for electrical power, smart lighting only gives light when someone actually walks past smart lights; setting brightness levels and tracking daily use are both important components of smart lights.
Smart cities also are implementing tools that can capture pollution data in real time and forecast emissions. Being able to predict air pollution accurately allows cities to get to the root of their emissions problems and brainstorm strategic ways to limit the amount of air pollution they put out.
Cities are also leveraging intelligent parking solutions that identify when a vehicle has left the parking area. Sensors are built into the ground and report the location of free parking spaces via a mobile app the driver downloads. Others use vehicle feedback to precisely pinpointing the location of openings and guide waiting cars down the path of least resistance. Smart Parking is a reality today and does not require complicated infrastructure and a high investment, making this smart city application ideal for a mid-sized smart city initiative.
Waste management solutions help to optimize the efficiency of waste collection and reduce operational costs while better addressing any and all environmental issues associated with inefficient waste collection. In these solutions, the waste container receives a level sensor; when a certain threshold is reached, the management platform of a truck driver receives a notification via their smartphone. The message helps them avoid half empty drains by appearing to empty a full container.
We offer a variety of solutions, deploying the most modern communication and network technologies and promoting world-class stability. In real-time, we select the most modern and high-performance technologies and deploy them under certified excellence.
Through deeply-studied models, we leverage the excellence of cognitive computing and artificial intelligence in the solution. Finally, accuracy is our middle name; from the most modern sensors and IoT components to the Decision-Making outcomes, Stefanini delivers high rates of accuracy within the Smart Solution.
Information and Communications Technologies (ICT) play an important role in connecting these resources, securely managing the massive amounts of data generated, and providing the relevant services that are required.
The creation of smart cities will only be achieved with a holistic approach, supported by globally acceptable standards that enable fully interoperable solutions that can be deployed and replicated at scale.
Smart Cities has become a major interoperability Use Case for the Internet of Things since it is by default requiring a cross-domain interworking. ETSI TC SmartM2M provides (with oneM2M that collaborates with 3GGP) a comprehensive standardization-based solution including, among other, IoT Semantic Interoperability (SAREF developped by ETSI in TC SmartM2M).
Much of the work relating to M2M/IoT in ETSI takes place in our global standards initiative oneM2M and 3GPP. oneM2M is developing technical specifications for a common M2M/IoT Service Layer that can be readily embedded within various hardware and software, and relied upon to connect the myriad of devices in the field with M2M/IoT application servers worldwide.
The oneM2M standards cover requirements, architecture, application programming interface (API) specifications, security solutions and mapping to common industry protocols such as CoAP, MQTT and HTTP. By building upon well-proven protocols that allow applications across industry segments to communicate with each other, oneM2M enables service providers to combine different M2M/IoT devices, technologies and applications, a critical feature in their efforts to provide services across a range of industries. oneM2M has already been used in service provider deployments in the world and in Europe for smart city and transport system deployments.
Our Access, Terminals, Transmission and Multiplexing committee (TC ATTM) and particularly the working group ATTM SDMC (Sustainable Digital Multiservice Communities) is working towards the creation, development and maintenance of standards relating to the relationship between deployment of ICT systems and implementation of services within cities and communities. This committee is working on efficient ICT waste management in sustainable communities.
Our Industry Specification Group on Operational energy Efficiency for Users (ISG OEU) is supporting development of standards for efficient sustainable communities, e.g. efficient engineering and global Key Performance Indicators for green smart cities, covering both residential and office environments.
Our Industry Specification Group on cross-sector Context Information Management (ISG CIM) develops technical specifications and reports to enable multiple organisations to develop interoperable software implementations of a cross-cutting Context Information Management (CIM) layer, for smart cities applications and beyond.
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Smart Dust: Sensor Network Applications, Architecture, and Design details the applications and technologies that are at the frontier of modern sensor networks. It is an ideal reference for anyone interested in designing, planning, or building emerging sensor and communications networks.