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Urban Computing and Intelligence

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Smart city

This includes data collected from citizens, devices, and assets that is processed and analyzed to monitor and manage traffic and transportation systems, power plants, water supply networks, waste management, crime detection,[1]

The Smart city concept integrates information and communication technology (ICT), and various physical devices connected to the IoT network to optimize the efficiency of city operations and services and connect to citizens.[4][5]

Major technological, economic and environmental changes have generated interest in smart cities, including climate change, economic restructuring, the move to online retail and entertainment, ageing populations, urban population growth and pressures on public finances.[11]

The intelligence of cities 'resides in the increasingly effective combination of digital telecommunication networks (the nerves), ubiquitously embedded intelligence (the brains), sensors and tags (the sensory organs), and software (the knowledge and cognitive competence)'.[43]

The creation, integration, and adoption of Smart city capabilities requires a unique set of frameworks to realize the focus areas of opportunity and innovation central to Smart city projects.

Members of these Communities are people that share their interest and work in a partnership with government and other institutional organizations to push the use of IT to improve the quality of daily life as a consequence of different worsening in daily actions.

a smart growth is essential what the partnership between citizen and institutional organizations try to do that is a reaction to worsening trends in daily things, like for instance traffic congestion, school overcrowding and air pollution.

Smart cities use data and technology to create efficiencies, improve sustainability, create economic development, and enhance quality of life factors for people living and working in the city.

Smart city is powered by 'smart connections' for various items such as street lighting, smart buildings, distributed energy resources (DER), data analytics, and smart transportation.

Electric companies, working partnership with city officials, technology companies and a number of other institutions, are among the major players that helped accelerate the growth of America's smart cities.[68]

Smart city employs a combination of data collection, processing, and disseminating technologies in conjunction with networking and computing technologies and data security and privacy measures encouraging application innovation to promote the overall quality of life for its citizens and covering dimensions that include: utilities, health, transportation, entertainment and government services.[69]

and smart meters, networks of sensors and RFIDs, and more accurate communication based on the semantic web, open new ways to collective action and collaborative problem solving.

Online collaborative sensor data management platforms are on-line database services that allow sensor owners to register and connect their devices to feed data into an on-line database for storage and allow developers to connect to the database and build their own applications based on that data.[72][73]

In London, a traffic management system known as SCOOT optimises green light time at traffic intersections by feeding back magnetometer and inductive loop data to a supercomputer, which can co-ordinate traffic lights across the city to improve traffic throughout.[74]

The city of Santander in Cantabria, northern Spain, has 20,000 sensors connecting buildings, infrastructure, transport, networks and utilities, offers a physical space for experimentation and validation of the IoT functions, such as interaction and management protocols, device technologies, and support services such as discovery, identity management and security[75]

These cards possess a unique encrypted identifier that allows the owner to log into a range of government provided services (or e-services) without setting up multiple accounts.

Then, technology can be implemented to meet the citizens' need, in order to improve the quality of life and create real economic opportunities.This requires a holistic customized approach that accounts for city cultures, long-term city planning, and local regulations.

Major strategies and achievements related to the spatial intelligence of cities are listed in the Intelligent Community Forum awards from 1999 to 2010, in the cities of Songdo and Suwon (South Korea), Stockholm (Sweden), Gangnam District of Seoul (South Korea), Waterloo, Ontario (Canada), Taipei (Republic of China), Mitaka (Japan), Glasgow (Scotland, UK), Calgary (Alberta, Canada), Seoul (South Korea), New York City (US), LaGrange, Georgia (US), and Singapore, which were recognized for their efforts in developing broadband networks and e-services sustaining innovation ecosystems, growth, and inclusion.[90] There

where traffic is monitored in real time by the City and information about current travel time on certain roads is broadcast to allow motorists to determine the best routes to take.

For example, sensor technology has been implemented in the irrigation system in Parc del Centre de Poblenou, where real time data is transmitted to gardening crews about the level of water required for the plants.[21][99]

Barcelona has also designed a new bus network based on data analysis of the most common traffic flows in Barcelona, utilising primarily vertical, horizontal and diagonal routes with a number of interchanges.[100]

In addition, where an emergency is reported in Barcelona, the approximate route of the emergency vehicle is entered into the traffic light system, setting all the lights to green as the vehicle approaches through a mix of GPS and traffic management software, allowing emergency services to reach the incident without delay.

Many smart cities such as Columbus are using agreements such as this one to prepare for climate change, expand electric infrastructure, convert existing public vehicle fleets to electric cars, and create incentives for people to share rides when commuting.

Because autonomous vehicles are currently seeing 'an increased industrial research and legislative push globally', building routes and connections for them is another important part of the Columbus Smart city initiative.[104]

In an article with The Economist[106], a current major Smart city project is explained: “In Copenhagen, as in many cities around the world, air quality is high on the agenda when it comes to liveability, with 68 percent of citizens citing it as of high importance when it comes to what makes their city attractive.

To monitor pollution levels, Copenhagen Solutions Lab is currently working with Google and has installed monitoring equipment in their streetview car in order to produce a heatmap of air quality around the city.

Some initiatives include the Dubai Autonomous Transportation Strategy to create driverless transits, fully digitizing government, business and customer information and transactions, and providing citizens 5000 hotspots to access government applications by 2021.[107][108]

Two mobile applications, mPay and DubaiNow, facilitate various payment services for citizens ranging from utilities or traffic fines to educational, health, transport, and business services.

The project has a two-year remit to demonstrate the capability of IoT applications and address barriers to deploying smart cities, such as city governance, network security, user trust and adoption, interoperability, scalability and justifying investment.

These will include data about energy and water consumption, transport data, data acquired through satellite technology, social and economic datasets, and crowdsourced data from social media or specialised apps.

These provide services including free WiFi, phone calls, device charging stations, local wayfinding, and more, funded by advertising that plays on the kiosk's screens[citation needed]

California's utility company PG&E is working with the city in this endeavor and on a smart energy pilot program that would develop a distributed energy network across the city that would be monitored by IoT sensors.

An alternative use of Smart city technology can be found in Santa Cruz, California, where local authorities analyse historical crime data in order to predict police requirements and maximise police presence where it is required.[125]

The analytical tools generate a list of 10 places each day where property crimes are more likely to occur, and then placing police efforts on these regions when officers are not responding to any emergency.

As mobile ride share giant, DiDi Chuxing, continuously adds more user protection features such as ride recording, and a new quick response safety center, Shanghai is furthering their Smart city agenda.[127]

It has embarked on its next phase of transformation towards a Smart Nation, and endeavours to harness the power of networks, data and info-comm technologies to improve living, create economic opportunities and build closer communities.

The Green IT program seeks to reduce the environmental impact of Stockholm through IT functions such as energy efficient buildings (minimising heating costs), traffic monitoring (minimising the time spent on the road) and development of e-services (minimising paper usage).

of city hall government to be able to adopt new ideas and new concepts call bottom-up mechanism, and the Taipei Smart city Project management office(TPMO) play a key role of this project.

Artificial Intelligence, Industrial IoT, and Smart Machines in Enterprise & Industrial Automation (2019-2024)

Dublin, July 16, 2019 (GLOBE NEWSWIRE) -- The 'Artificial Intelligence, Industrial IoT, and Smart Machines in Enterprise and Industrial Automation 2019 - 2024' report has been added to ResearchAndMarkets.com's offering.Key Report Findings Artificial Intelligence (AI) algorithms enhance the ability for big data analytics and IoT platforms to provide value to each of these market segments.

AI coupled with advanced big data analytics provides the ability to make raw data meaningful and useful as information for decision-making purposes.

The use of AI for decision making in IoT and data analytics will be crucial for efficient and effective decision making, especially in the area of streaming data and real-time analytics associated with edge computing networks.

While IIoT will initially improve existing processes and augmented current infrastructure, the ultimate goal will be to realize entirely new, and dramatically improved products and services.

Successful companies will be those that understand how and where IoT technologies and solutions will drive opportunities for operational improvements, new and enhanced products and services, as well as completely new business models.

IIoT involves a substantial breadth and depth of technologies, many of which require careful integration and orchestration.Smart machines collectively represent intelligent devices, machinery, equipment, and embedded automation software that perform repetitive tasks and solve complex problem autonomously.

Along with Artificial Intelligence, IoT connectivity, and M2M communications, smart machines are a key component of smart systems, which include many emerging technologies such as smart dust, neuro computing, and advanced robotics.

Currently conceived smart machine products include autonomous robots (such as service robots), self-driving vehicles, expert systems (such as medical decision support systems), medical robots, intelligent assistants (such as automated online assistants), virtual private assistants (Siri, Google Assistant, Amazon Alexa, etc.), embedded software systems (such as machine monitoring and control systems), neurocomputers (such as purpose-built intelligent machines), and smart wearable devices.This research evaluates various AI technologies and their use relative to analytics solutions within the rapidly growing enterprise and industrial data arena.

It also provides analysis of chatbot companies including their strategic initiatives, solutions, applications, and services.This research also evaluates IIoT technologies, companies, applications, services, and solutions.

Our findings, insights, data and forecasts are also a key part of capitalizing upon the market for new and enhanced hardware, software, platforms, and services for emerging IoT networks and systems.

AI Based Chatbot Market Analysis and Forecasts 2019 - 20247.1 Global Markets for AI based Chatbots by Type 2019 - 20247.2 AI based Chatbots by Interface Type 2019 - 20247.2.1 AI based Voice Chatbots by sub-category 2019 - 20247.3 Global Market Size AI Chatbots by Value Chain Components 2019 - 20247.4 Global Markets for AI based Chatbots by Business Model 2019 - 20247.5 Global Markets for AI based Chatbots by Deployment 2019 - 20247.6 Global Markets for AI based Chatbots by Market Segment 2019 - 20247.7 Global Markets for AI based Chatbots by Applications 2019 - 20247.8 Global Markets for AI based Chat by Use Case 2019 - 20247.9 Global Markets for AI based Chatbots by Industry Vertical 2019 - 20248.

Regional AI based Chatbot Market 2019 - 20248.1 AI based Chatbot Market by Region 2019 - 20248.2 North America AI Based Chatbot Markets by Country 2019 - 20248.3 Latin America AI Based Chatbot Markets by Country 2019 - 20248.4 Europe AI Based Chatbot Markets by Country 2019 - 20248.5 APAC AI Based Chatbot Markets by Country 2019 - 20248.6 MEA AI Based Chatbot Markets by Country 2019 - 20249.

Conversational AI Forecasts 2019 - 20249.1 Global Market for Conversational AI by Deployment Type 2019 - 20249.2 Global Markets for Conversational AI by Value Chain Components 2019 - 20249.3 Global Markets for Conversational AI by Market Segment 2019 - 20249.4 Global Markets for Conversational AI by Applications 2019 - 20249.5 Global Markets for Conversational AI by Use Case 2019 - 20249.6 Global Markets for Conversational AI by Industry Vertical 2019 - 20249.7 Global Markets for Conversational AI by Region 2019 - 20249.7.1 North American Markets for Conversational AI by Country 2019 - 20249.7.2 Latin American Markets for Conversational AI by Country 2019 - 20249.7.3 European Markets for Conversational AI by Country 2019 - 20249.7.4 APAC Markets for Conversational AI by Country 2019 - 20249.7.5 MEA Markets for Conversational AI by Country 2019 - 2024 Industrial Internet of Things: IIoT Market by Technologies, Solutions and Services 1.

IIoT Global Market Analysis and Forecasts 2019 - 20246.1 IIoT Market by Region 2019 - 20246.2 IIoT Global Market by Products Offered 2019 - 20246.2.1 IIoT Market for Hardware in 2019 - 20246.2.2 IIoT Market for Software in 2019 - 20246.2.3 IIoT Market for Services 2019 - 20246.3 IIoT Global Market by Industry Vertical 2019 - 20246.3.1 IIoT Deployments in Manufacturing Sector 2019 - 20246.3.2 Healthcare Market for IIoT 2019 - 20246.3.3 Automotive Industry Market for IIoT 2019 - 20246.3.4 Retail industry Market for IIoT 2019 - 20246.3.5 Oil and Gas Industry Market for IIoT 2019 - 20246.3.6 Market for IIoT by Cargo and Logistic Sector 2019 - 20246.3.7 IIoT business in Utilities Sector 2019 - 20246.3.8 IIoT business in Hospitality Sector 2019 - 20247.

Smart Machine Market Analysis and Forecasts 3.1 Global Market Forecast 2019 - 2024 3.1.1 Total Smart Machine Market 3.1.2 Smart Machine Product Market 3.1.3 Smart Machine Technology Market 3.1.3.1 Smart Machine Cognitive Technology Market 3.1.3.1.1 Smart Machine Robotics Technology Market 3.1.3.2 Smart Machine Neurocomputing Technology Market 3.1.4 Smart Machine Market Segment 3.1.4.1 Smart Machine Market in Industry Verticals 3.2 Regional Market Forecast 2019 - 2024 3.2.1 Smart Machine Regional Market 3.2.2 APAC Smart Machine Market 3.2.2.1 APAC Market by Product, Technology, Market Segment, and Industry Vertical 3.2.2.2 APAC Market by Country 3.2.3 North America Smart Machine Market 3.2.3.1 North America Market by Product, Technology, Market Segment, and Industry Vertical 3.2.3.2 North America Market by Country 3.2.4 Europe Smart Machine Market 3.2.4.1 Europe Market by Product, Technology, Market Segment, and Industry Vertical 3.2.4.2 Europe Market by Country 3.2.5 ME&A Smart Machine Market 3.2.5.1 ME&A Market by Product, Technology, Market Segment, and Industry Vertical 3.2.5.2 ME&A Market by Country 3.2.6 Latin America Smart Machine Market 3.2.6.1 Latin America Market by Product, Technology, Market Segment, and Industry Vertical 3.2.6.2 Latin America Market by Country 4.

Full List of Companies Mentioned

For more information about this report visit https://www.researchandmarkets.com/r/xs8g0g

Perfect cities where no one wants to live

If you grew up in the 80s like me — the golden age of Japanese cartoons, you probably remember those you loved to watch after school.

I like this state of maximum attention that I feel as soon as I land, when I have to quickly understand how to catch the right bus, reach a place to stay or even find one on the go.

Sometimes I had to find my way without even reading the alphabet, as in Kiev for example, where the public transportation network was designed in such a way that once you get the logic of it, the rest is easy.

When I decided to walk the Pilgrim’s Way to Santiago (by feet so no cheating), I learned the hard way that without a car, in some areas of France called “ultra rural”, you won’t eat for 3 days if you haven’t planned a stock.

Twenty-first century cities will be hives to billions of human beings Let’s talk numbers : by 2050, a UN study estimates to 68% the global urban population, compared to 55% today.

What we didn’t have before and that changes the deal is data, collected via our smartphones, connected object, street furniture (street lights, etc.) or autonomous cars.

The city of Barcelona has heavily invested to improve the lives of its inhabitants (or its tourists …) 20,000 sensors throughout the city indicate in real time the parking spaces occupation, and an app tells you where to park, reducing traffic jams, CO2 emissions and waste of time.

In the Kalasatama eco-district, all the buildings are connected to the urban heat pump heating network, which is itself powered by wastewater energy : this is a good example of smart city ​​management.

It took centuries to build them, today deadlines are incredibly short : Dubai has just printed some public buildings (university, research center, hospitals) in 3D and in only forty days.

There’s no doubt we need to improve our cities, but a town entirely ruled by data, algorithms etc., and rationalized to the maximum is not necessarily the ideal city either.

We can also value the organic aspect of it, and see the city as a body : it’s alive, it’s swarming, noisy, there are failures sometimes, it’s spontaneous.

It all began with a 40 billion dollar project, 106 buildings over 22 million square meters, certified green and smart.

The streets include computers controlling traffic and public lighting, the buildings are autonomous in the management of energy and waste, each apartment is equipped with screens and videochat to communicate with your neighbors (how lovely).

Its lack of “soul” and humanity… It’s a bit the same logic as my failed attempt, when I was a teenager, to build an optimal town on Sim City… I wanted it geometrical, logical etc.

In the same way today, we think we can solve all urban problems by rationalizing to the extreme, by collecting public data and using powerful AI to analyze and correlate them, which we were unable to do until now.

For example : in Europe, North America, China or Japan, populations are aging and it will be a real challenge : how will we take care of our elders, while the lifestyle in large cities tends to accentuate isolation?

Artificial intelligences can really be useful, not to calculate the height of the grass in front of the town hall or the number of cigarette butts on the ground but, for example, alerting instantly when an accident occurs on the public road.

In “The smart enough city”, Ben Green argue with the same logic : wanting to fix everything by algorithms and data is a trap that distracts us from the real social issues.

don’t believe either in preachings about rejecting technology, “returning to the land” and building an idyllic society, from a primitive model that never existed.

Finally, the lesson about innovation in city management, through examples of success and failure, is very simple : what works is the balance of man and machine cooperation.

The latter manages the framework and the optimization of resources, while human beings are fundamentally the soul of a city: we bring the creativity, the unpredictable, the imperfection … in other words, the emotion.

Meet Frey, the Smart City AI of Dubai 2050

Discover what an Autonomous World can do at ------------------------------------------ HERE Website: HERE 360 Blog: .

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