Big data and artificial intelligence based early risk warning system of fire hazard for smart cities

2021 ◽  
Vol 45 ◽  
pp. 100986
Author(s):  
Yongchang Zhang ◽  
Panpan Geng ◽  
C.B. Sivaparthipan ◽  
Bala Anand Muthu
Keyword(s):  
Artificial Intelligence ◽  
Big Data ◽  
Smart Cities ◽  
Fire Hazard ◽  
Warning System ◽  
Early Risk ◽  
Risk Warning

Applications of Artificial Intelligence for Smart Agriculture

2021 ◽  
pp. 277-288
Author(s):  
Suresh Sankaranarayanan
Keyword(s):  
Artificial Intelligence ◽  
Big Data ◽  
Smart City ◽  
Autonomous Robots ◽  
Smart Cities ◽  
Building Blocks ◽  
City Management ◽  
Latency Reduction ◽  
Smart Agriculture ◽  
Growing Population

Smart cities is the latest buzzword towards bringing innovation, technology, and intelligence for meeting the demand of ever-growing population. Technologies like internet of things (IoT), artificial intelligence (AI), edge computing, big data, wireless communication are the main building blocks for smart city project initiatives. Now with the upcoming of latest technologies like IoT-enabled sensors, drones, and autonomous robots, they have their application in agriculture along with AI towards smart agriculture. In addition to traditional farming called outdoor farming, a lot of insights have gone with the advent of IoT technologies and artificial intelligence in indoor farming like hydroponics, aeroponics. Now along with IoT, artificial intelligence, big data, and analytics for smart city management towards smart agriculture, there is big trend towards fog/edge, which extends the cloud computing towards bandwidth, latency reduction. This chapter focuses on artificial intelligence in IoT-edge for smart agriculture.

scholarly journals Smart Cities, Big Data, Artificial Intelligence and Respect for the European Union Data Protection Rules

2020 ◽  
Vol 3 (2) ◽  
pp. 101
Author(s):  
Francisco Javier Durán Ruiz
Keyword(s):  
Artificial Intelligence ◽  
European Union ◽  
Big Data ◽  
Data Protection ◽  
Smart City ◽  
Smart Cities ◽  
Open Data ◽  
Personal Data ◽  
Point Of View ◽  
The European Union

The importance of cities and their populations grow more and more, as well as the need to apply ICT in their management to reduce their environmental impact and improve the services they offer to their citizens. Hence the concept of smart city arises, a transformation of urban spaces that the European Union is strongly promoting which is largely based on the use of data and its treatment using Big data and Artificial Intelligence techniques based in algorithms. For the development of smart cities it is basic, from a legal point of view, EU rules about open data and the reuse of data and the reconciliation of the massive processing of citizens' data with the right to privacy, non-discrimination and protection of personal data. The use of Big data and AI needed for the development of smart city projects requires a particular respect to data protection regulations. In this sense, the research explores in depth the specific hazards of vulnerating this fundamental right in the framework of smart cities due to the use of Big Data and AI.

Large Technical Systems

2021 ◽  
pp. 91-106
Author(s):  
Muhammed Can ◽  
Halid Kaplan
Keyword(s):  
Artificial Intelligence ◽  
Big Data ◽  
Smart Cities ◽  
Technical System ◽  
Modern World ◽  
Power Networks ◽  
Technical Aspects ◽  
Theoretical Approaches ◽  
Big Data Applications ◽  
Technical Systems

In recent years, artificial intelligence has become a new normal in the modern world. Even though there are still limitations and it remains to be premature both in terms of applications and theoretical approaches, AI has a huge potential to shift various systems from healthcare to transportation. Needless to say, smart cities are also significant for AI's development. IoT, big data applications, and power networks bring a new understanding of how we live and what the future will be like when AI is adapted to smart cities. However, it is highly misleading to focus on AI itself in this manner. Rather, it should be considered as a part of the ‘Large Technical System'. In this vein, the chapter will ask the following questions: To what extent might AI contribute the power networks of smart cities? How can LTS theory explain this evolution both in terms of technical aspects and technopolitics?

On big data, artificial intelligence and smart cities

Cities ◽  
2019 ◽  
Vol 89 ◽  
pp. 80-91 ◽  
Author(s):  
Zaheer Allam ◽  
Zaynah A. Dhunny
Keyword(s):  
Artificial Intelligence ◽  
Big Data ◽  
Smart Cities

scholarly journals Sustainable Smart Cities: Convergence of Artificial Intelligence and Blockchain

2021 ◽  
Vol 13 (23) ◽  
pp. 13076
Author(s):  
Ashutosh Sharma ◽  
Elizaveta Podoplelova ◽  
Gleb Shapovalov ◽  
Alexey Tselykh ◽  
Alexander Tselykh
Keyword(s):  
Artificial Intelligence ◽  
Big Data ◽  
Data Analysis ◽  
Real Time ◽  
Quantitative Measurement ◽  
Smart Cities ◽  
Big Data Analytics ◽  
Training Data ◽  
Qualitative And Quantitative ◽  
Real Time Application

Recently, 6G-enabled Internet of Things (IoT) is gaining attention and addressing various challenges of real time application. The artificial intelligence plays a significant role for big data analytics and presents accurate data analysis in real time. However, designing big data analysis through artificial intelligence faces some issues in terms of security, privacy, training data, and centralized architecture. In this article, blockchain-based IoT framework with artificial intelligence is proposed which presents the integration of artificial intelligence and blockchain for IoT applications. The performance of the proposed architecture is evaluated in terms of qualitative and quantitative measurement. For qualitative measurement, how the integration of blockchain and artificial intelligence addresses various issues are described with the description of AI oriented BC and BC oriented AI. The performance evaluation of proposed AI-BC architecture is evaluated and compared with existing techniques in qualitative measurement. The experimental analysis shows that the proposed framework performs better in comparison with the existing state of art techniques.

Sign in / Sign up

Export Citation Format

Share Document