Emerging Electronics Technologies and Solutions for Eco-Friendly Cities

doi:10.3390/books978-3-0365-6521-7

Download Url(s)

https://mdpi.com/books/pdfview/book/6678

Contributor(s)

Andriukaitis, Darius (editor)

Pan, Yongjun (editor)

Brida, Peter (editor)

Language

English

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Abstract

The growing population is forcing us to look for new, more effective solutions to various problems. The rising demand for power, water supply and waste management, pedestrian safety, the efficient use of electric vehicles, traffic jams, commuting, the identification of all road users and prediction of their travel paths, and increasing air and noise levels are the most pressing issues in today’s cities. Advance planning is a feature of green development that reduces dependence on vehicles associated with an increase in greenhouse gas emissions. The development of eco-friendly cities includes the development and application of new efficient solutions and technologies, such as efficient transport management, emission control and pollution control, energy efficiency and the usage of renewable energy, resource efficiency, etc., which would ensure a better quality of life of the growing population.

URI

https://directory.doabooks.org/handle/20.500.12854/96732

Keywords

waste management; sustainability; eco-friendly city; design thinking; infectious waste; resource efficiency; communication technology; beacon; large-scale; unmanned vehicle; ad hoc network; hybrid routing protocol; air pollution; drone; land survey; visual recognition algorithm; fast R-CNN; dust sensors; microcontroller; VMD; LSTM; coal thickness; seismic attribute; distributed manufacturing; rescheduling; memetic algorithm; arrhythmia; driving restrictions; adaptive digital filter; noninvasive method; heart rate; spherical microphone array; sound source identification; functional delay and sum beamforming; denoising; performance enhancement; eco-friendly networks; wireless sensor network; energy efficiency; low-power networks; Markov model; log-normal fading; excavator; typical working condition; load; operating data; energy flow; mathematic model; cardiovascular system; seismography; modeling; loader; bucket fill factor; material surface three-dimensional information; regression prediction; RecurDyn; EDEM; n/a