E-Water Level: Educational Kit For Testing Student Knowledge On Transient Response Using Water Level Control

Control Principle course is a part of syllabus in the diploma or degree in Electrical Engineering programme where students are exposed to topics such as time response analysis. One of the topics in this course is Transient Response analysis where it requires students to calculate the characteristic of the response based on set of formula. One of the difficulty encounters in delivering this topic is students having difficulty to relate the theory with the application as most theoretical part of this topic does not explain on how the transient response graph is obtained in the first place. In order to address this problem, this paper proposed E-Water Level educational kit that can be used by student in order to understand independently the transient response analysis by applying theory on the water level control application where the student knowledge on Transient Response parameters are tested, namely the delay time, rise time, damping ratio and setting time. The system consists of Arduino Microcontroller, water tank, water pump, relay, ultrasonic sensor and electronic display. The novelty of this educational kit is that the educational kit is adaptive in bridging the gap between theory and application in which the data is generated by real application of water level and the answers for the questions are automatically generated based on the data obtained. Thus, each student will experience different set of question

A study on the application of Gravitational Search Algorithm in optimizing Stereo Matching Algorithm's parameters for star fruit inspection system

This paper reports the result obtained by implementing Gravitational Search Algorithm for tuning Stereo Matching Algorithm's parameters for the application star fruit inspection system. The hardware for the inspection system is built by CvviP from Universiti Teknologi Malaysia using only single camera. The implemented Stereo Matching Algorithm used on the system comes from the built-in Matlab library. Each agent of Gravitational Search Algorithm in the search pace represents a set of candidate numerical value of the stereo matching's parameters. The sum of absolute error of the gray scale value of both images is used to indicate the fitness function. Benchmarking has done by comparing the result obtained with the previous literature that implements Particle Swarm Optimization. The result indicates that the application of Gravitational Search Algorithm as parameters tuner for stereo matching's parameters tuning is essentially on par with the Particle Swarm Optimization Algorithm

Resducational Kit The Development Of An Electronic Quiz Board That Test Engineering Students Knowledge On Resistors Concept In Electrical Circuit

The concept of basic electrical circuit has been covered in most engineering field especially electrical and electronic engineering via Fundamental of Electrical Circuit subject. One of the topic is to test student knowledge on calculation on the combinatorial resistors connection which can be either in series, parallels or combination of both. This can be done by theoretical calculation or hands-on assembling the circuit. This educational kit attempts to bridge the gap between theory and real-time hands-on for the circuit connection. The kit will give questions by providing the desired resistors output while the students need to do the connection base on the available resistors values in order to obtain the desired output resistor. The educational kit will deliverer the answer once the connection is successfully constructed. The kit is developed using Arduino Uno Microcontroller with other components such as LCD, LED, keypad, buzzer and resistors. This paper explains the procedure required in developing the prototype and testing being done to verify the functionality of the proposed kit

A Study On The Application Of Gravitational Search Algorithm In Optimizing Stereo Matching Algorithm’s Parameters For Star Fruit Inspection System

This paper reports the result obtained by implementing Gravitational Search Algorithm for tuning Stereo Matching Algorithm’s parameters for the application star fruit inspection system. The hardware for the inspection system is built by CvviP from Universiti Teknologi Malaysia using only single camera. The implemented Stereo Matching Algorithm used on the system comes from the built-in Matlab library. Each agent of Gravitational Search Algorithm in the search pace represents a set of candidate numerical value of the stereo matching’s parameters. The sum of absolute error of the gray scale value of both images is used to indicate the fitness function. Benchmarking has done by comparing the result obtained with the previous literature that implements Particle Swarm Optimization. The result indicates that the application of Gravitational Search Algorithm as parameters tuner for stereo matching’s parameters tuning is essentially on par with the Particle Swarm Optimization Algorithm

Warning Sign Analysis Of Traffic Sign Data-Set Using Super Vised Spiking Neuron Technique

In this paper, two types of conditions have been applied to analyze the performance of SNN towards usable traffic sign, which are hidden region and rotational effect. There are 20 warning traffic signs being focused on where there are regularly seen around Malacca area. These traffic sign needed to be embedded in this system as a databased to counter the output for mean error and recognition process for both conditions applied. Early hypothesis was design as the mean error and recognition process will degraded its performance as more intrusion get introduced in the system. For hidden region, the values show a critically rising error value at 62.5% = 0.123. While 0%. For recognition process at 6.25% hidden region, 100% of images are correctly matchup to its own image. At 50% of hidden ages are perfectly recognized to its own image. At 60%, there is 30% of image able to recognize leaving others at 70%, 80% and 90% degrees rotation of images were outperformed. In view of element occasion driven handling, they open up new skylines for creating models with a colossal sum limit of recollecting and a solid capacity to quick adjustment. SNNs include another component, the transient hub, to the representation limit and the handling capacities of neural systems

Guide Sign Analysis Of Traffic Sign Data-Set Using Supervised Spiking Neuron Technique

In this paper,20 guided traffic signs mostly displayed around Malacca area were selected as project databased. Early hypothesis was made as the error for each usable image will increased as more interference introduced to the original image used.Three types of conditions which are hidden region,image brightness and image rotation were selected as an experiment to analyze the performance of each sign used.Each condition will perform a specific error to generate their mean value and in the same,image recognition will take place in the matchup process.By focusing on the result,it produces hidden region critically ascending mean error value at 62.5% = 0.07 and has average value at others points.For image brightness effect,it shows a higher mean error value collected at less brightness points and nonstable pattern at 10% to 60% brightness.As for rotation upshot,the values show a critically ascending for error value at 22.5% and slightly increase at 2% to 5% rotation point.For the recognition process,at 6.25% hidden region,almost 70% of images are correctly matched to its own classes while at 62.5% hidden region only 40% of images are correctly matched to its own classes and leaving 2 images to outperform.For -40% brightness,45% of images are correctly matched to its own classes while at 60% brightness 65% of images are correctly matched to its own classes and leaving 1 image to outperform.Lastly,at 2.5 degree rotation,85% of images are correctly matched to its own classes while at 25° rotation,45% of images are correctly matched to its own classes and leaving 2 images to outperform.Finally,the error forms will affect the final output response of the detected traffic signs used

Design and implementation of OFDM transmitter and receiver on FPGA hardware

Orthogonal Frequency Division Multiplexing (OFDM) is a multi-carrier modulation technique which divides the available spectrum into many carriers. OFDM uses the spectrum efficiently compared to FDMA by spacing the channels much closer together and making all carriers orthogonal to one another to prevent interference between the closely spaced carriers. The main advantage of OFDM is their robustness to channel fading in wireless environment. The objective of this project is to design and implement a base band OFDM transmitter and receiver on FPGA hardware. This project concentrates on developing Fast Fourier Transform (FFT) and Inverse Fast Fourier Transform (IFFT). The work also includes in designing a mapping module, serial to parallel and parallel to serial converter module. The design uses 8-point FFT and IFFT for the processing module which indicate that the processing block contain 8 inputs data. All modules are designed using VHDL programming language and implement using Apex 20KE board. The board is connected to computer through serial port and Nios development kit software is used to provide interface between user and the hardware. All processing is executed in Apex board and user only requires to give the inputs data to the hardware throughout Nios. Input and output data is displayed to computer and the results is compared using Matlab software. Software and tools which used in this project includes VHDLmg Design Entry, Synopsys FPGA Express, Altera Maxplus+II and Altera Quartus 3.0. Software tools are used to assist the design process and downloading process into FPGA board while Apex board is used to execute the designed module

Smart Plant Monitoring System Using Aquaponics Production Technological with Arduino Development Environment (IDE) and SMS Alert: A Prototype

Aquaponics is one of the agricultural production technological advancements that should be publicized. Climate change, population expansion, water scarcity, soil degradation, and food security are just a few of the world's most pressing issues. Aquaponics, which is a closed-loop system that combines hydroponics and aquaculture, may be able to deal with issues like climate change, population expansion, water scarcity, soil degradation, and food security. Thus, this paper aims to design and construct an aquaponics system that combines fish farming with plant growth. The system used a variety of sensors, including temperature and humidity sensors, ultrasonic sensors, and pH sensors, as well as microcontrollers like Arduino, to monitor and manage the water quality, plant humidity, and other variables. When the sensor identifies any abnormal circumstance, early warnings in the form of SMS and push notifications are immediately given to the user to ensure a healthy growing environment for fish and plants. The Arduino Development Environment (IDE) software is used to write a programme that connects the microcontroller to various sensors and other devices. pH sensors, temperature and humidity sensors, ultrasonic sensors, liquid crystal displays (LCDs), and GSM circuits are all built and connected to the system. A GSM notification message is sent to a mobile phone when the pH, temperature, and ultrasonic sensor findings are out of range. The data from this system's monitoring reveals the values that have been taken on a daily basis. The graph demonstrated that the plant's growth is increasing every day

Looping Board: Development Of An Electronic Educational Quiz Board That Test Student Knowledge On Laplace Transform For Electrical Circuit Modelling

The application of electronics and internet technology in the current education system is increased tremendously to enhance the students learning activities. One example is an electronic educational kit or simulator which adopted in the classroom to supplement the formal teaching and learning methodology. The educational kit offers attractive and fun learning experiences that possibly enhance the student’s interest and knowledge as compared to ineffective and boring traditional lectures. The objective of this works is to design and develop a prototype of an educational quiz board (named Looping Board) that is automatic, cost-effective, portable, and interactive. This prototype comprises of quiz assessment module that is used to evaluate the students’ knowledge of translating the transfer function of an electrical circuit to its equivalent electrical circuit. Looping Board is developed using Arduino Mega 2560 as the microcontroller, resistors, and female header pin as the inputs, LEDs as the output, and Bluetooth HC-05 module used as a communication device to connect between Arduino and the smartphone. MIT apps inventor is applied to develop smartphone application which consisting of questions and answers of Laplace Transform. To measure and evaluate the effectiveness of the prototype, a survey has been carried out among 50 respondents at the Faculty of Electrical & Electronics Engineering Technology in Universiti Teknikal Malaysia Melaka. Based on the result, more than 60% of students have agreed the Looping Board is useful in enhancing student’s interest and knowledge