Zulkifli Zainal Abidin

Chicken Farm Monitoring System

In this paper, the chicken farm monitoring system is proposed and developed based on wireless communication unit to transfer data by using the wireless module combined with the sensors that enable to detect temperature, humidity, light and water level values. This system is focused on the collecting, storing, and controlling the information of the chicken farm so that the high quality and quantity of the meal production can be produced. This system is developed to solve several problems in the chicken farm which are many human workers is needed to control the farm, high cost in maintenance, and inaccurate data collected at one point. The proposed methodology really helps in finishing this project within the period given. Based on the research that has been carried out, the system that can monitor and control environment condition (temperature, humidity, and light) has been developed by using the Arduino microcontroller. This system also is able to collect data and operate autonomously.

Design and Development of an Autonomous Surface Vessel for Inland Water Depth Monitoring

This paper is about design and development of an Autonomous Surface Vessel (ASV) for inland water depth monitoring. Water depth measurement a.k.a bathymetry is important for critical areas such as river and water reservoir (dam) to estimate the volume and surface area for environment conservation and safety purpose. Conventionally, in inland water monitoring, the data obtained from the measurements are recorded in the log book and have to go through some screening process before plotting contour. This procedure is not only slow but also requires a lot of logistic equipment and labor forces. Therefore, an Autonomous Surface Vessel equipped with an echo sounder and data telemetry is proposed. It can be either remotely controlled or run automatically by autopilot navigation software. It is also equipped with GPS and compass for the navigation sensor feedback. The ASV was tested at several lakes for the performance of data collection and navigation.

Development of a buoyancy control device for Autonomous Underwater Vehicle

The development of Autonomous Underwater Vehicle (AUV) or known as unmanned underwater vehicle increase exponentially in these recent years. This is due to the increase of demand in many applications such as prospecting on the seafloor and other underwater tasks without human interference and supervision. This vehicle can be used to perform underwater missions such as surveys, monitoring, image capturing and other applications. In achieving given tasks, AUVs must capable to control its depth level. Thus, a buoyancy control device (BCD) is developed to assist AUV in controlling its depth level. This paper is focusing in developing a volume based BCD. A pair of rubber bellow is simulated as the main hardware to vary the volume of BCD while keeping a constant mass. To execute this method, an input (depth level) is required from user through a Graphical User Interface (GUI) provided. Water level transducer is used to measure the current level of the BCD and compare with the user input. By this comparison, BCD will compensate with water density, in order to achieve positive, negative or neutral buoyancy based on the desired input value. This system is a close loop system with a Proportional Integral Derivatives (PID) controller integrated for the controller. PID controller will continuously calculates the error value as the difference between the desired (user input) and the actual value measured. PID controller is designed to reduce the oscillation occurred in the system during autonomous adjustments with a suitable gain values. This paper proved that by controlling the volume of the bladder, depth level of BCD also can be controlled accordingly with 47% maximum and 2% minimum error occurred.

Tilt compensated mechanical measurement mechanism for very shallow water USV bathymetry

Currently researchers are advancing unmanned surface vehicle (USV) for bathymetry and hydrography applications. The idea of USV was introduced to avoid the risk and danger of personnel on the water terrain. When it comes to shallow water bathymetry mapping most method has the limitation to measure terrain which less than 1 meter deep. Commonly USV uses sonar depth sensor to measure the water depth yet it has a minimum range which it can measure. In this paper, the USV has been equipped with an additional mechanical bar measurer to be used on the very shallow part of the water bodies. By lowering and measuring the angle of the bar respect to the boats draft, the depth of the very shallow water can be obtained. The cases of the rocking of the boat are also being considered by measuring the roll and pitch and implement forward kinematic method for depth correction.

Analysis of Artificial Neural Network and Viola-Jones Algorithm Based Moving Object Detection

In recent years, the worrying rate of street crime has demanded more reliable and efficient public surveillance system. Analysis of moving object detection methods is presented in this paper, includes Artificial Neural Network (ANN) and Viola-Jones algorithm. Both methods are compared based on their precision of correctly classify the moving objects. The emphasis is on two major issues involve in the analysis of moving object detection, and object classification to two groups, pedestrian and motorcycle. Experiments are conducted to quantitatively evaluate the performance of the algorithms by using two types of dataset, which are different in term of complexity of the background. The utilization of cascade architecture to the extracted features, benefits the algorithm. The algorithms have been tested on simulated events, and the more suitable algorithm with high detection rate is expected to be presented in this paper.

Development of an autonomous mobile robot for floor marking

During an exhibition, booths will be allocated for participants. These booths are where their work will be displayed. To construct these booths, organizers measure and mark the exhibition floor manually to determine the correct size of the booths. The purpose of this project is to develop an autonomous mobile robot to automate the process of measuring and marking the exhibition floor space to the correct predetermined size using the help of a video camera overlooking the exhibition floor, i.e. the robot will use machine vision to determine its position and to control its motion in marking the floor according to a predetermined floor plan.