Boon-Chin Yeo’s research while affiliated with Multimedia University and other places

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Publications (6)


Figure 1. Block diagram of computer-based water sampling system.
Figure 2. Development of water surface surveillance and pollution tracking vehicles.
Figure 3. Rendering water collection.
Figure 4. Planned path for the WSV.
Figure 6. Benchmark values for substances.

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Monitoring water quality and tracking pollution using water surface vehicle: The case of Ayer Keroh Lake, Malaysia
  • Article
  • Full-text available

January 2025

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5 Reads

Journal of Infrastructure Policy and Development

Way-Soong Lim

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Shen-Yee Pang

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Zen Luey-Hooi Ong

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[...]

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Boon-Chin Yeo

Physical sampling of water on site is necessary for various applications like drinking water quality checking in lakes and checking for contaminants in freshwater systems. The use of water surface vehicles is a promising technology for monitoring and sampling water bodies, and they offer several advantages over traditional monitoring methods. This project involved designing and integrating a drone controller, water collection sampling contraption unit, and a surveillance camera system into a water surface vehicle (WSV). The drone controller unit is used to operate the boat from the starting location until the location of interest and then back to the starting location. The drone controller has an autopilot system where the operator can set a course and be able to travel following the path set, whereas the WSV will fight the external forces to keep itself in the right position. The water collection sampling unit is mounted onto WSV so when it travels to the location, it can start collecting and holding water samples until it returns to the start location. The field of view (FOV) surveillance camera helps the operator to observe the surrounding location during the operation. Experiments were conducted to determine the operational capabilities of the robot boat at the Ayer Keroh Lake. The water collection sampling contraption unit collected samples from 44 targeted areas of the lake. The comprehensive examination of 14 different water quality parameters were tested from the collected water samples provides insights into the factors influencing the pollution and observation of water bodies. The successful design and development of a water surface surveillance and pollution tracking vehicle marks the key achievements of this study. The developed collection and surveillance unit holds the potential for further refinement and integration onto various other platforms. They are offering valuable assistance in water body management, coastal surveillance, and pollution tracking. This system opens up new possibilities for comprehensive water body assessments, contributing to the advancement of sustainable and efficient water testing. Through careful sampling efforts, a thorough overview of the substances presents in the water collected from Ayer Keroh Lake has been compiled. This in-depth analysis provides important insights into the lake’s current condition, offering valuable information about its ecological health.

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Intelligent Tourist Attractions Recommender System with Hybrid Collaborative Filtering

December 2024

Annual rise in tourism increases demand for a robust tourism recommendation. Big data processing has been adopted as the main component of adaptive recommendation systems, which provide services that are designed to suit the needs of individual users. Big data processing can be applied to tourism recommendation to provide better options for tourists and reduce distance travelled by user in order to visit a location of their preference. In this system, Logistic Regression is used to categorize big data and recommend tourism types to suit the user's personality is devised based on sentiment analysis, distance and cost of visit. The system is scalable to handle the complexity of the data collected by the system. It informs the user locations with the lowest Mean Squared Error through cumulative values from different tourism criteria. The current best cumulative MSE achieved by the system is 9.482 for a training dataset of 438. The MSE is expected to improve with higher dataset for training.


Integration of UWB RSS to Wi-Fi RSS fingerprinting-based indoor positioning system

June 2022

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98 Reads

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6 Citations

Wi-Fi Received Signal Strength (RSS) fingerprinting-based Indoor Positioning System (IPS) is an economical technique due to its implementation from the existing Wi-Fi infrastructure. Nevertheless, it suffers limited positioning accuracy and in recent years, researchers have proposed various approaches to mitigate the problem. Combining different positioning algorithms is a common approach to improve the accuracy which often at the same increase the system algorithm complexity. Meanwhile, combining signals from different wireless technologies for position information is an alternative approach. Recently, Ultra-Wide Band (UWB) stands out among other wireless technologies due to its high positioning accuracy. However, an IPS developed entirely using UWB suffers from high development costs. Thus, this paper has proposed an integration of UWB RSS into Wi-Fi RSS fingerprinting-based IPS to improve the positioning accuracy. Experiments have been conducted in a designated environment equipped with Wi-Fi and UWB anchors. Results show that the positioning accuracy of IPS with the combination of UWB and Wi-Fi is overall better than Wi-Fi-based IPS even there is a reduction of the sampling points of RSS in the indoor environment. On average, the accuracy of IPS with the combination of UWB and Wi-Fi is at least two times more superior than the Wi-Fi-based IPS.


Data Acquisition System and Pattern Image Generations for Hand Grip Device

November 2021

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12 Reads

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1 Citation

International Journal on Robotics Automation and Sciences

Grip pattern is essential to understand how an object being held in hand. One of the solutions is to use the pressure sensing glove to capture the gripping pressure distributed on the surface of the palm. The objective of this project is to develop a data acquisition system for a gripping device that can capture the grip patterns when a person is gripping an object. The design comprises of Velostat sheet, rows, and columns of conductive threads, that are sandwiched and layered to form a glove with pressure sensor grids. Arduino is used to generate the signals for data acquisition and interface with the MATLAB program through serial communication. On the MATLAB, the sensor data are organized and represented in hand pattern color image. Voltage Divider Rule (VDR) was used in an experiment with different resistor values and the effect of the image patterns were observed. Another experiment has been designed to find out the grip consistency. The results show that resistor values 330ohm can cause the image pattern create noises. Meanwhile, 4.7kohm resistance value is sufficient to eliminate most of the noises made in the pattern images. In this paper, different grip images can be obtained from different grip activities, such as holding toothbrush, lifting dumbbell, and pressing syringe. Future works can be done in resolution improvement and grip pattern recognition.



Development of Electronic Floor Mat for Fall Detection and Elderly Care

June 2018

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93 Reads

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14 Citations

Asian Journal of Scientific Research

Background and Objective: The risk of falls increases for elderly people who are aged 65 and above. Approximately one-third to one-half of the elderly people experience falls on a yearly basis. Falling can be a serious life-threatening event and there is a need to alert their nurses or family members instantly. The developed motion and fall detection is important to response immediate call for medical caregivers and consequently reducing the mortality rate. The objective for this project is to build a cost effective and user-friendly surveillance device. The primary objective of making such system is to track the motion or movement of elderly people in the house. Materials and Methods: Every motion on the mat will reflect to pressure data and collected via a special hardware designed with conductive grids that act like a switch, which is triggered upon pressure exerted over certain area. The pressure value is extracted from a pressure conductive material called velostat. The values are read by microcontroller. Results: The innovative mat will study user's behaviour daily. Once the fall is detected, an alert message will be sent in the form of SMS and email. Apart from fall detection, surveillance system has been incorporated to support vision-based activation for the fall detection system and user access logging. Conclusion: This designed mat is a non-invasive device essential for detection of fall and monitoring. The developed system gives an accuracy of 80% in detecting a fall event for phase 1 detection and 90% in detecting a fall event for phase 2 detection.

Citations (3)


... While our work focuses on single-signal metrics, hybrid methods combining Bluetooth, Wi-Fi, UWB, and ZigBee [52] have been proposed to enhance indoor positioning. Other examples include the integration of Wi-Fi with Visual Light Positioning (VLP) [53] and Bluetooth Low Energy (BLE) [54]. A novel localization framework has been developed that integrates GNSS, Wi-Fi Fine Time Measurement (FTM), and built-in sensors to achieve precise meter-level accuracy [41]. ...

Reference:

Ada-LT IP: Functional Discriminant Analysis of Feature Extraction for Adaptive Long-Term Wi-Fi Indoor Localization in Evolving Environments
Integration of UWB RSS to Wi-Fi RSS fingerprinting-based indoor positioning system

... The force mapping system was adopted from a previous project [60]. This system is used to record contact area data and uses a pressure sensor matrix known as Velostat. ...

Data Acquisition System and Pattern Image Generations for Hand Grip Device
  • Citing Article
  • November 2021

International Journal on Robotics Automation and Sciences

... Even though the Velostat PSM had acquired better results than those of the commercial system in the weight scale, it could still not replace the foot silhouette. Other applications of Velostat-based PSM include monitoring neonatal constants [17], sport-training monitoring [18], and fall detection and elderly care [19]. ...

Development of Electronic Floor Mat for Fall Detection and Elderly Care
  • Citing Article
  • June 2018

Asian Journal of Scientific Research