Title :
Nature inspired solutions for green energy
Author :
Cho, Jae Hoo ; Kim, Dong Hwa ; Abraham, Ajith
Author_Institution :
Chungbuk Nat. Univ., Cheongju, South Korea
Abstract :
Traditionally intelligence systems are popular in robotics, decision-making, multimedia processing, data mining etc. Recently, green technology and CO2 gas reduction issues have been a major issue, paving the way for artificial intelligence researchers to formulate effective solutions. Therefore, there are good prospects for researchers to study green technology and CO2 gas reduction problems because those issues are directly affecting our daily life. Energy saving and development, power management for renewable energy sources are very important for green technology and CO2 gas reduction. This paper describes our application methods studied up to now for evaluating green technology.
Keywords :
artificial intelligence; environmental engineering; global warming; optimisation; CO2 gas reduction issue; artificial intelligence system; green energy; nature inspired solution; Air pollution; Animals; Artificial intelligence; Green products; Microorganisms; Optimization; Turbines;
Conference_Titel :
Computer Information Systems and Industrial Management Applications (CISIM), 2010 International Conference on
Conference_Location :
Krackow
Print_ISBN :
978-1-4244-7817-0
DOI :
10.1109/CISIM.2010.5643680