scholarly journals Failure classification in natural gas pipe-lines using artificial intelligence: A case study

2021 ◽  
Vol 7 ◽  
pp. 7640-7647
Author(s):  
Abdul Manan ◽  
Khurram Kamal ◽  
Tahir Abdul Hussain Ratlamwala ◽  
Muhammad Fahad Sheikh ◽  
Abdul Ghani Abro ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Natural Gas ◽  
Failure Classification ◽  
Pipe Lines

scholarly journals Artificial Intelligence for Advanced Building Control: Energy and GHG Savings from a Case Study

Proceedings ◽  
2019 ◽  
Vol 23 (1) ◽  
pp. 7 ◽  
Author(s):  
Nunzio Cotrufo ◽  
Etienne Saloux
Keyword(s):  
Artificial Intelligence ◽  
Natural Gas ◽  
Predictive Control ◽  
Control Strategies ◽  
Weather Forecasts ◽  
Early Results ◽  
Advanced Control ◽  
Gas Consumption ◽  
Building Operation

Model-based Predictive Control (MPC) is a promising advanced control strategy for the improvement of building operation. MPC uses a model of the building along with weather forecasts to optimize control strategies, such as indoor air temperature set-points, thermal storage charging and discharging cycles, etc. An obstacle to the adoption of MPC is the modelling step: developing a dedicated control-oriented model is a time-consuming process, requiring technical expertise and a large amount of information about the building and its operation. To overcome these issues, this paper proposes a new approach for the development of MPC strategies based on Artificial Intelligence (AI) techniques, aiming to map correlations among commonly available operation variables and to develop models suitable for predictive control. The proposed approach was applied in an institutional building in Varennes, QC, with the aim of reducing the natural gas consumption during the heating season. Early results show a remarkable effectiveness of the proposed approach, with a reduction of natural gas and building heating consumption of 23.9% and 6.3%, respectively.

Geoeconomic Leverage of Natural Gas Resources in the Mediterranean

2019 ◽  
Vol 12 (4) ◽  
pp. 141-155 ◽  
Author(s):  
Ahmed Mahdi
Keyword(s):  
Natural Gas ◽  
Economic Resources ◽  
Tel Aviv ◽  
Economic Influence ◽  
The Mediterranean ◽  
Influence Attempts ◽  
Gas Fields

This article examines the claim that Israel’s natural gas exports from its Mediterranean gas fields will give geopolitical leverage to Tel Aviv over the importing countries. Using the geoeconomic tradition of Klaus Knorr and others who wrote about applying leverage using economic resources to gain geopolitical advantage, it is argued that certain criteria have to be satisfied for economic influence attempts, and that Israel’s gas exports do not satisfy these criteria. They include the importer’s supply vulnerability, the supplier’s demand vulnerability, and the salience of energy as an issue between both countries. Israeli gas exports to Egypt are used as a case study.

scholarly journals UNDERSTANDING SPECTRUM BIAS IN ALGORITHMS DERIVED BY ARTIFICIAL INTELLIGENCE A CASE STUDY IN DETECTING AORTIC STENOSIS USING ELECTROCARDIOGRAMS

2021 ◽  
Vol 77 (18) ◽  
pp. 3241
Author(s):  
Andrew S. Tseng ◽  
Michal Shelly-Cohen ◽  
Zachi Itzhak Attia ◽  
Peter Noseworthy ◽  
Paul Friedman ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Aortic Stenosis

Smart design of intelligent companion toys for preschool children

2020 ◽  
pp. 1-14
Author(s):  
Xin Wang ◽  
Nian Yin ◽  
Zhinan Zhang
Keyword(s):  
Artificial Intelligence ◽  
Early Childhood ◽  
Preschool Children ◽  
Essential Role ◽  
Childhood Education ◽  
Child Centered ◽  
Toy Design ◽  
Complete Framework ◽  
New Framework

Abstract Early childhood education has long-lasting influences on people, and an appropriate companion toy can play an essential role in children's brain development. This paper establishes a complete framework to guide the design of intelligent companion toys for preschool children from 2 to 6 years old, which is child-centered and environment-oriented. The design process is divided into three steps: requirement confirmation, the smart design before the sale, and the iterative update after the sale. This framework considers the characteristics of children and highlights the integration of human and artificial intelligence in design. A case study is provided to prove the superiority of the new framework. In addition to enriching the research on intelligent toy design, this paper also guides for practitioners to design smart toys and helps in children's cognitive development.

scholarly journals Boundaries Between Research Ethics and Ethical Research Use in Artificial Intelligence Health Research

2021 ◽  
pp. 155626462110027
Author(s):  
Gabrielle Samuel ◽  
Jenn Chubb ◽  
Gemma Derrick
Keyword(s):  
Artificial Intelligence ◽  
Health Research ◽  
Decision Makers ◽  
Societal Impact ◽  
The Past ◽  
Research And Innovation ◽  
The United Kingdom ◽  
Responsible Research ◽  
Past Half

The governance of ethically acceptable research in higher education institutions has been under scrutiny over the past half a century. Concomitantly, recently, decision makers have required researchers to acknowledge the societal impact of their research, as well as anticipate and respond to ethical dimensions of this societal impact through responsible research and innovation principles. Using artificial intelligence population health research in the United Kingdom and Canada as a case study, we combine a mapping study of journal publications with 18 interviews with researchers to explore how the ethical dimensions associated with this societal impact are incorporated into research agendas. Researchers separated the ethical responsibility of their research with its societal impact. We discuss the implications for both researchers and actors across the Ethics Ecosystem.

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