Article Per Year (5 Year)
p-Index From 2019 - 2024
0
P-Index
This Author published in this journals
All Journal Bulletin of Electrical Engineering and Informatics Bulletin of Electrical Engineering and Informatics Bulletin of Electrical Engineering and Informatics
Abayomi Ajofoyinbo
Texas Southern University, Houston, Texas.
Computer Science & IT Electrical & Electronics Engineering Engineering

Published : 3 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 3 Documents
Search

 1 
Health Monitoring and Control of Civil Infrastructures using Wireless Smart Sensors Abayomi Ajofoyinbo; David Olowokere
Bulletin of Electrical Engineering and Informatics Vol 3, No 3: September 2014
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (182.134 KB) | DOI: 10.11591/eei.v3i3.281

Abstract

This paper investigates health monitoring and control (HMC) of civil infrastructures using wireless smart sensor networks.  Two important requirements are (i) energy efficiency, and (ii) effective control to prevent damage of civil infrastructures.  Fuzzy control scheme is incorporated in the system model to provide capability for addressing problems of imprecision and uncertainty that can be associated with values of dynamic response.  Moreover, operation of wireless smart sensor networks is characterised as discounted semi-Markov decision process (SMDP) consisting of four states, namely: sleep, sense, store, and transmit.  The objective is to choose policy that offers optimal energy-efficient transmission of vibration-based dynamic response, and subsequently activate appropriate control.  Relevant mathematical representations are formulated for this model and its efficacy tested via numerical analysis,which is implemented in MATLAB software. It is shown by the results obtained that this HMC model can provide effective control and increase energy efficiency.
Health Monitoring and Control of Civil Infrastructures using Wireless Smart Sensors Abayomi Ajofoyinbo; David Olowokere
Bulletin of Electrical Engineering and Informatics Vol 3, No 3: September 2014
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eei.v3i3.281

Abstract

This paper investigates health monitoring and control (HMC) of civil infrastructures using wireless smart sensor networks.  Two important requirements are (i) energy efficiency, and (ii) effective control to prevent damage of civil infrastructures.  Fuzzy control scheme is incorporated in the system model to provide capability for addressing problems of imprecision and uncertainty that can be associated with values of dynamic response.  Moreover, operation of wireless smart sensor networks is characterised as discounted semi-Markov decision process (SMDP) consisting of four states, namely: sleep, sense, store, and transmit.  The objective is to choose policy that offers optimal energy-efficient transmission of vibration-based dynamic response, and subsequently activate appropriate control.  Relevant mathematical representations are formulated for this model and its efficacy tested via numerical analysis,which is implemented in MATLAB software. It is shown by the results obtained that this HMC model can provide effective control and increase energy efficiency.
Health Monitoring and Control of Civil Infrastructures using Wireless Smart Sensors Abayomi Ajofoyinbo; David Olowokere
Bulletin of Electrical Engineering and Informatics Vol 3, No 3: September 2014
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (182.134 KB) | DOI: 10.11591/eei.v3i3.281

Abstract

This paper investigates health monitoring and control (HMC) of civil infrastructures using wireless smart sensor networks.  Two important requirements are (i) energy efficiency, and (ii) effective control to prevent damage of civil infrastructures.  Fuzzy control scheme is incorporated in the system model to provide capability for addressing problems of imprecision and uncertainty that can be associated with values of dynamic response.  Moreover, operation of wireless smart sensor networks is characterised as discounted semi-Markov decision process (SMDP) consisting of four states, namely: sleep, sense, store, and transmit.  The objective is to choose policy that offers optimal energy-efficient transmission of vibration-based dynamic response, and subsequently activate appropriate control.  Relevant mathematical representations are formulated for this model and its efficacy tested via numerical analysis,which is implemented in MATLAB software. It is shown by the results obtained that this HMC model can provide effective control and increase energy efficiency.
Co-Authors David Olowokere