Control Engineering, Electronics, Internet Of Things
Lecturer II
Electronics and Computer Engineering
At the Electronics And Computer Engineering department office
Appointment on Visitation important
Topic: DESIGN AND IMPLEMENTATION OF PIPELINE LEAKAGE DETECTION SYSTEM ( DETECTION OF PIPELINE VANDALISATION / LEAKAGE)
Description: Pipeline vandalisation is a problem facing the oil sector especially in Nigeria. Nigeria loses billions of naira to vandalisation yearly. The sole responsibility of securing the pipelines lies on the shoulders of the various security officers, including the police and other paramilitary agencies, but rather than arresting the oil thieves or vandals, these officers collaborated and conspired with them, thereby compounding the menace of pipeline vandalism and crude oil theft. Some pipeline networks pass through remote villages where security personnel are not deployed – cases like this will surely result into complete vandalisation of the pipeline. The major benefits to be derived from this study include early detection of pipeline intrusion before pipeline is damaged, the consequence of which can lead to reduction in financial losses and alleviation of environmental degradation as well as the possibility of the authority to take action towards successful arrest and prosecution of the culprits by a way of capturing the vandalisation video footage, which can eventually serve as exhibit in the court of law. This work offers a solution model to this problem in such a way that intruders to the demarcated pipeline area are detected and prevented from vandalizing the pipelines. The necessary authorities will then be notified secretly via SMS when there is an intruder in the pipeline region.
# | Certificate | School | Year |
---|---|---|---|
1. | M.Sc (CONTROL ENGINEERING OPTION) | DEPARTMENT OF ELECTRICAL/ELECTRONIC ENGINEERING/ UNIVERSITY OF LAGOS | 2003 |
Data-Driven Performance Evaluation of IoT-Based Human Tracking Method Using Kalman Filter and Extended Kalman Filter with Particle Swarm Optimization
INTRODUCTION:
Various
crimes have necessitated using security and protection systems to keep people
and their properties safe. Unfortunately, since they are so easily broken,
locks and bolts do little to deter intruders and burglars. Homes require better
security. IoT, biometrics, and tracking provide better safety. Information
security, identity authentication, smart cards, access control systems, and law
enforcement are areas of interest. Many applications rely on biometric identity
and IoT. Therefore, human detection with recognition is the best solution. Life
and property attacks require IoT systems with Kalman filter tracking.
OBJECTIVES:
To design
an IoT-based testbed utilizing Arduino and RFID sensors to monitor human
movement. To develop KF and EKF algorithms to track human movements and predict
their successive positions. To develop PSO algorithm to optimize KF and EKF
errors for human motion tracking.
METHODOLOGY:
The
methodology describes the research context, design, implementation
process, and adopted techniques and tools. It includes IoT
design implementation as a monitoring tool for human motion tracking,
formulation and theoretical framework of KF and EKF, and concept and
development of PSO as error optimization.
RESULTS:
The
measured (or exact) position vs. the estimated (or predicted) position plots
overlap because their curves are close. However, the % error curve, which shows
the difference between exact and predicted positions, is nearly insignificant.
Therefore, the models can reliably predict the tracked person's future
position. The performance analysis of the models was also carried out.
CONTRIBUTION
TO KNOWLEDGE/SOCIETY: The work proposes the Kalman filter
model for IoT-based human tracking. Most prior PSO-KF or PSO-EKF models
employed computer vision or video surveillance to track vehicles, animals,
balls, or humans. However, the proposed work uses an IoT platform as the
monitoring system
AJASA ABIODUN is a Lecturer II at the Department of Electronics and Computer Engineering
AJASA has a M.Sc in CONTROL ENGINEERING OPTION from DEPARTMENT OF ELECTRICAL/ELECTRONIC ENGINEERING/ UNIVERSITY OF LAGOS