Effect of Obstacle Angles on Signal Strength for Different Mounting Elevations of XBee Pro Module in Viral Advertisement System

This paper presents a study on the effect of obstacle angles on signal strength for different mounting elevations of XBee Pro module. The study has been conducted by using two units of XBee Pro modules which each represents a receiver and a transmitter. The transmitter is mounted in three different elevations which are 0.5, 1.5 and 2.5 meter from the ground while the receiver is fixed at the same elevation but at different positions which yield to different angles. When the transmitter continuously transmits the wireless signal carrying its particular address, the receiver will detect the signal address once the range of communication of both receiver and transmitter intersects. The results obtained are the values of signal strength, in percentage, with respect to the obstacle angles between receiver and transmitter for different mounting elevations of transmitter. These data are then converted into graph that illustrates the signal strength characteristics for each mounting elevation. Finally, the best mounting elevation is to be identified based on the result obtained

Implementation of Shape – Based Matching Vision System in Flexible Manufacturing System

This research is regarding the application of a vision algorithm to monitor the operations of a system in order to control the decision making concerning jobs and work pieces recognition that are to be made during system operation in real time. This paper stress on the vision algorithm used which mainly focus on the shape matching properties of the product. The main focus of this paper is on the development of an adaptive training phase of the vision system, which is the creation of a flexible Region of Interest capability that is able to adapt to various type of applications and purposes depending on the users’ requirements. Additionally, an independent stand-alone control scheme was used to enable this system to be used in various types of manufacturing configurations. The system was tested on a number of different images with various characteristics and properties to determine the reliability and accuracy of the system in respect to different conditions and combination of different training traits

Implementation of Shape – Based Matching Vision System in Flexible Manufacturing System

This research is regarding the application of a vision algorithm to monitor the operations of a system in order to control the decision making concerning jobs and work pieces recognition that are to be made during system operation in real time. This paper stress on the vision algorithm used which mainly focus on the shape matching properties of the product. The main focus of this paper is on the development of an adaptive training phase of the vision system, which is the creation of a flex- ible Region of Interest capability that is able to adapt to various type of applications and purposes depending on the users’ requirements. Additionally, an independent stand-alone control scheme was used to enable this system to be used in various types of manufacturing configurations. The system was tested on a number of different images with various characteristics and properties to determine the reliability and accuracy of the system in respect to different conditions and combination of different training traits

Shape-Based Matching Vision System in Flexible Manufacturing System

This research is regrading the application of a vision algorithms ro monitor the operations of a system in order to control the decision making concerning jobs and work pieces recorgnition that are to be made during system operation in real time

Shape-Based Matching: Defect Inspection of lue Process in Vision System

his reasearch regrading the application of a vision algorithms sensor to monitor the operation of a system in order to control the concerning jobs and work pieces recognition that are to be made during system operation in real time

Flexible Approach for Region of Interest Creation for Shape-Based Matching in Vision System

This research is regarding the application of a vision algorithm to monitor the operations of a system in order to control the decision making concerning jobs and work pieces recognition that are to be made during system operation in real time. This paper stress on the vision algorithm used which mainly focus on the shape matching properties of the product. The algorithm consists of two phases, the training phase and the recognition phase. The main focus of this paper is on the development of an adaptive training phase of the vision system, which is the creation of a flexible Region of Interest capability that is able to adapt to various type of applications and purposes depending on the users’ requirements. The system was tested on a number of different images with various characteristics and properties to determine the reliability and accuracy of the system in respect to different conditions and combination of different training traits. This system can be applied in industrial sectors especially for process and quality control

Comparison of depth control form surface and bottom set point of an unmanned underwater remotely operated vehicle using PID controller

This paper investigates the depth control of an Unmanned Underwater Remotely Operated Vehicle (ROV) based on ballast tank system using conventional PID controller. The PID Controller is applied to control the depth of the ROV from two different reference points, from the surface and from the seafloor. The concept of ballast tank system selected is piston tank type. Two different sensors are selected, which is pressure sensor for measurement from the surface, and sonar sensor for measurement from the bottom. Control method from both references point are investigated and compared to find out which feedback reference points are more appropriate in different conditions. The implementation phase will be verified through MATLAB Simulink platform. The verified algorithms will then be tested on the actual prototype ROV. And also the prospect of automated the vertical movement of a ROV

Impact of Different Land Uses on the Escherichia coli Concentrations, Physical and Chemical Water Quality Parameters in a Tropical Stream

Rural streams are important source of water for the nearby communities. However, bacterial contamination from agriculture and human settlement may render the water unsuitable for drinking and body contact recreation. Hence, the objective of this study was to determine the impact of different land uses such as animal farming and human settlement on E. coli concentrations in the Serin River, a tropical stream. Samplings were conducted at 9 stations from September 2009 to March 2010. Results showed that E. coli concentrations ranged from 2,000-6,900,000 CFU/100 mL with E. coli concentrations in fish aquaculture water exceeding the WHO standard. Animal and crop farming stations showed the highest E. coli concentrations in the tributaries. Re-suspension from stream sediment and non-point sources such as runoff contributed to the high concentrations observed in the main river. Multiple linear regressions indicated that total suspended solids and dissolved oxygen were significant water quality parameters and they explained 68.1% of the total E. coli variations observe

Underwater Technology Research Group (UTeRG) Glider for Monitoring and Surveillances Applications

This paper describes a design and development of Underwater Glider for Monitoring and surveillances applications. An Underwater Glider is a type of Autonomous Underwater Vehicle (AUV). Underwater gliders are buoyancy-driven device. It can alternately reduce and expand displaced volume to dive or climb through the ocean. It has wings to control its motion from vertical to horizontal at very low power consumption. The motivation of this underwater glider is at its long range and high endurance for certain types of mission. Gliders are designed to slip through the ocean a fraction of meter per second to cover hundreds of meters for weeks. It can be used in commercial and military purpose. The design and development of this underwater glider have hydrodynamic characteristic, stability and buoyancy. The simple Microprocessor PIC is used to control the movement of the glider. There are three major phase in developing this glider which are mechanical design, programming and fabrication. The speed and power consumption of the glider in pool and lake are then measured and analyzed. This glider was tested on three types of differences testing area such as lake, swimming pool and laboratory pool. This paper also shows the performances of glider in term of speed and power consumption of three conditions. This glider is proven suitable for monitoring and surveillances application

Design and System Parameter’s Validation of the Unicycle Mobile Robot

Unicycle mobile robot is a robot that can move and maneuver on one wheel. The ability of this robot to stand in the upright position and move without falling down is considered a tough challenge for the researchers to conduct the investigation on it. The ideas of developing unicycle mobile robot are inspired from a human who rides a unicycle. In a real life, when a human rides a unicycle, he needs to balance his position or roll angle by moving his two arms, wrist and body in the unison manner. Meanwhile the pitch angle of the rider can be stabilized by pedalling the unicycle using the two legs back and forth, in order to control the speed and the position of the unicycle’s wheel. Besides that, the yaw angle of the unicycle is stabilized by rotating the left and the right hands synchronously. Thus, in this research, a unicycle mobile robot has been designed and fabricated. The parameter from the unicycle’s model is acquired and used as the input to its dynamic modelling which has been developed previously