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    Chapter and Conference Paper

    Intelligent Sensors for Intelligent Systems: Fault Tolerant Measurement Methods for Intelligent Strain Gauge Pressure Sensors

    A new method is described for measuring an existing pressure transducer with greater potential for analysis. The new method has the potential to allow more comprehensive and early detection of sensor faults. T...

    Thomas Barker, Giles Tewkesbury, David Sanders in Intelligent Systems and Applications (2022)

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    Chapter and Conference Paper

    Intelligent Control of a Semi-autonomous Assistive Vehicle

    A control system for a powered wheelchair is described. The wheelchair is equipped with sensors to help a disabled user to steer their wheelchair. An innovative intelligent control schemes is presented. A mode...

    David Sanders, Giles Tewkesbury, Malik Haddad in Intelligent Systems and Applications (2022)

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    Chapter and Conference Paper

    Facial Recognition Software for Identification of Powered Wheelchair Users

    The research presented in this paper investigates the use of facial recognition software as a potential system to identify powered wheelchair users. Facial recognition offers advantages over other biometric sy...

    Giles Tewkesbury, Samuel Lifton, Malik Haddad in Intelligent Systems and Applications (2022)

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    Chapter and Conference Paper

    A Neuro-Fuzzy Model for Fault Detection, Prediction and Analysis for a Petroleum Refinery

    The paper describes data fusion using a neuro-fuzzy system for fault detection, prediction, and analysis of petroleum refining operations and other process industries. The model described in this paper involve...

    Peter Omoarebun, David Sanders, Favour Ikwan in Intelligent Systems and Applications (2022)

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    Chapter and Conference Paper

    Are Human Drivers a Liability or an Asset?

    This paper investigates the relationship between near misses and human error that leads to a collision. A Smart wheelchair that can detect obstacles is used as an example. Many collisions are the fault of the ...

    David Sanders, Malik Haddad, Giles Tewkesbury in Intelligent Systems and Applications (2022)

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    Chapter and Conference Paper

    One Shot Learning Approach to Identify Drivers

    This paper presents a new approach to identify users of shared powered mobility platfroms using One Shot learning algorithm. An electronic circuit is created using a Raspberry Pi and a camera module. Python pr...

    Malik Haddad, David Sanders, Martin Langner in Intelligent Systems and Applications (2022)

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    Chapter and Conference Paper

    Intelligent User Interface to Control a Powered Wheelchair Using Infrared Sensors

    This paper presents a new system to steer a powered wheelchair using a Sharp IR sensor and a Raspberry Pi. Interviews with occupational therapists, helpers and carers at Chailey Heritage Foundation/School reve...

    Malik Haddad, David Sanders, Giles Tewkesbury in Intelligent Systems and Applications (2022)

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    Chapter and Conference Paper

    Management of Compressed Air to Reduce Energy Consumption Using Intelligent Systems

    This research investigated the use of intelligent systems for reducing energy consumption in compressed air systems. An initial literature review has been completed and mathematical models that describe typica...

    Mohamad Thabet, David Sanders, Malik Haddad in Intelligent Systems and Applications (2021)

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    Chapter and Conference Paper

    Intelligent Monitoring Using Hazard Identification Technique and Multi-sensor Data Fusion for Crude Distillation Column

    Hazard assessment techniques and multi-sensor fusion are used for intelligent systematic monitoring. Firstly, a hazard identification technique is considered using failure mode and effect analysis and advantag...

    Peter Omoarebun, David Sanders, Favour Ikwan in Intelligent Systems and Applications (2021)

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    Chapter and Conference Paper

    Intelligent Control and HCI for a Powered Wheelchair Using a Simple Expert System and Ultrasonic Sensors

    Intelligent control and human computer interaction is investigated for a powered wheelchair using a simple expert system and ultrasonic sensors. The aim is to make driving easier. Signals from sensors and joys...

    David Sanders, Malik Haddad, Peter Omoarebun in Intelligent Systems and Applications (2021)

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    Chapter and Conference Paper

    Intelligent Control of the Steering for a Powered Wheelchair Using a Microcomputer

    The research presented in this paper describes a new architecture for controlling powered wheelchairs. A Raspberry Pi microcomputer is considered to assist in controlling direction. A Raspberry Pi is introduce...

    Malik Haddad, David Sanders, Martin Langner in Intelligent Systems and Applications (2021)

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    Chapter and Conference Paper

    Use of the Analytical Hierarchy Process to Determine the Steering Direction for a Powered Wheelchair

    The Analytical Hierarchy Process (AHP) is utilized to propose a driving course for a powered-wheelchair. A safe route for a wheelchair is proposed by a decision-making system that aims to avoid obstacles. Two ...

    Malik Haddad, David Sanders, Mohamad Thabet in Intelligent Systems and Applications (2021)

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    Chapter and Conference Paper

    Introducing Time-Delays to Analyze Driver Reaction Times When Using a Powered Wheelchair

    This paper investigates the introduction of time-delays into wheelchair driving. Two dissimilar ways in which wheelchair drivers interact are compared. Users were observed as they drove their wheelchairs with ...

    David Sanders, Malik Haddad, Martin Langner in Intelligent Systems and Applications (2021)

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    Chapter and Conference Paper

    Intelligent System to Analyze Data About Powered Wheelchair Drivers

    The research presented in this paper creates an intelligent system that collects powered wheelchair users’ driving session data. The intelligent system is based on a Python programming platform. A program is c...

    Malik Haddad, David Sanders, Martin Langner in Intelligent Systems and Applications (2021)

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    Chapter and Conference Paper

    Intelligent Risk Prediction of Storage Tank Leakage Using an Ishikawa Diagram with Probability and Impact Analysis

    Intelligent probability and impact analysis are used with an Ishikawa diagram. Causes of tank leakage events are identified. Causes were ranked and weights assigned to show their relative importance in the dia...

    Favour Ikwan, David Sanders, Malik Haddad in Intelligent Systems and Applications (2021)

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    Chapter and Conference Paper

    Learning to Make Intelligent Decisions Using an Expert System for the Intelligent Selection of Either PROMETHEE II or the Analytical Hierarchy Process

    This paper presents an expert system to select a most suitable discrete Multi-Criteria Decision Making (MCDM) method using an approach that analyses problem characteristics, MCDM methods characteristics, risk ...

    Malik Haddad, David Sanders, Nils Bausch in Intelligent Systems and Applications (2019)

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    Chapter and Conference Paper

    A Method to Produce Minimal Real Time Geometric Representations of Moving Obstacles

    Real time modelling methods are compared for use with a robot manufacturing work-cell and a simple image processing system. The static parts of a robotic manufacturing work-cell are modelled as a number of sol...

    David Sanders, Qian Wang, Nils Bausch, Ya Huang in Intelligent Systems and Applications (2019)

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    Chapter and Conference Paper

    Adjustment of Tele-Operator Learning When Provided with Different Levels of Sensor Support While Driving Mobile Robots

    A quantitative and qualitative empirical evaluation is presented to show the effect of providing some sensor support during driving lessons as a tele-operator learns to drive a mobile robot. Different levels ...

    David Sanders, David Ndzi, Simon Chester in Proceedings of SAI Intelligent Systems Con… (2018)

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    Chapter and Conference Paper

    Integration of Fuzzy C-Means and Artificial Neural Network for Short-Term Localized Rainfall Forecasting in Tropical Climate

    This paper proposes and analyses the applicability of integrating Fuzzy C-Means (FCM) and artificial neural network (ANN) in rainfall forecasting. The algorithm of ANN and FCM clustering are integrated and app...

    Noor Zuraidin Mohd-Safar, David Ndzi, David Sanders in Intelligent Systems and Applications (2018)

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    Chapter and Conference Paper

    Integration of Fuzzy C-Means and Artificial Neural Network for Short-Term Localized Rainfall Forecast in Tropical Climate

    This paper evaluates the performance of a rainfall forecasting model. In this paper Artificial Neural Network (ANN) and Fuzzy C-Means (FCM) clustering algorithm are combined and used to forecast short-term lo...

    Noor Zuraidin Mohd-Safar, David Ndzi in Proceedings of SAI Intelligent Systems Con… (2018)

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