Development of System Modules for Children’s Games with Vision and Music-Based Interactive Real-Time Feedback Modules - A Design-Based Research Approach

Most past research on young children’s attention focused on the design of multimedia games based on visual stimulation. In contrast, few studies have been on the development of teaching tools focusing on auditory stimulation. This study aims to develop a real-time interactive digital game with music and eye tracking for young children. The Design-Based Research (DBR) approach was adopted. Melodic tunes and lyrics composed by the researcher constitute the auditory stimulation, paired with visual images, in a game emphasizing interactivity between game content and players. Discussions were held between the various members of the developing team, during which the game developers and domain experts proposed suggestions to the researcher, who then continuously fine-tuned the game in line with the research objective. Our preliminary findings suggested that DBR, which emphasizes child-centered design, provides a novel and innovative approach to digital game design

An Efficient Approach for Line-Following Automated Guided Vehicles Based on Fuzzy Inference Mechanism

Recently, there has been increasing attention paid to AGV (Automated Guided Vehicle) in factories and warehouses to enhance the level of automation. In order to improve productivity, it is necessary to increase the efficiency of the AGV, including working speed and accuracy. This study presents a fuzzy-PID controller for improving the efficiency of a line-following AGV. A line-following AGV suffers from tracking errors, especially on curved paths, which causes a delay in the lap time. The fuzzy-PID controller in this study mimics the principle of human vehicle control as the situation-aware speed adjustment on curved paths. Consequently, it is possible to reduce the tracking error of AGV and improve its speed. Experimental results show that the Fuzzy-PID controller outperforms the PID controller in both accuracy and speed, especially the lap time of a line-following AGV is enhanced up to 28.6% with the proposed fuzzy-PID controller compared to that with the PID controller only

Rethinking Measures of Attitude Toward Technology in Technology Education

Technology curriculums encompass an interdisciplinary approach that integrates science, engineering, the arts, and mathematics, along with a design-oriented learning process. Given the rapid advancement of technology and the challenging environment, technology education has the potential to enhance students' positive outlook on technology. The objectives of this study are to gather existing student attitude scales for technology education, analyse the cognitive, affective, behavioural, and environmental components of these scales, and describe the assessment format and its application. This study referenced established research procedures and instructions, used keywords to research and examine the literature, and collected literature on relevant scales. Afterwards, a coding framework was developed based on the theoretical structure of this study for the research content analysis. Last, descriptive data and critical analysis information were reported. The results of this study can offer a comprehensive component structure for the development of attitude scales in technology education. Furthermore, they will contribute to a more comprehensive understanding of how research in technology education investigates students' attitudes

Takagi-Sugeno fuzzy perpose as speed controller in indirect field oriented control of induction motor drive

This paper deal with the problem in speed controller for Indirect Field Oriented Control of Induction Motor. The problem cause decrease performance of Induction Motor where it widely used in high-performance applications. In order decrease the fault of speed induction motor, Takagi- Sugeno type Fuzzy logic control is used as the speed controller. For this, a model of indirect field oriented control of induction motor is built and simulating using MATLAB simulink. Secondly, error of speed and derivative error as the input and change of torque command as the output for speed control is applied in simulation. Lastly, from the simulation result overshoot is zero persent, rise time is 0.4s and settling time is 0.4s. The important data is steady state error is 0.01 percent show that the speed can follow reference speed. From that simulation result illustrate the effectiveness of the proposed approach

Artificial intelligence based direct torque control of induction motor drive system

In this project, a three-phase Induction motor (IM) under the direct torque control (DTC) technique is studied. IM is known for its simple engines and its self-starter feature but it always suffered a setback in the area of torque and speed control as it is a highly coupled nonlinear plant and proves to be most complex and expensive speed drive. The application of direct torque control (DTC) is beneficial for fast torque reaction in IM but provide high torque and ripples due to harmonic effects. Thus, the speed control of induction motor is important to achieve maximum torque and efficiency. The aim of this study is to improve tracking performance of the induction motor drive using artificial intelligence control system. A method for controlling induction motor drive is presented with Proportional-Integral (PI) controller and Artificial Neural Networks (ANNs) for performance comparison. MATLAB/SIMULINK software is used to develop a three-phase 2 pole-cage type induction motor model. Also the performances of the two controllers have been verified in terms of its speed and torque responses. The ANN is trained so that the speed of the drive tracks the reference speed. This study proved that the performance and dynamics of the induction motor are enhanced using ANN controller as compared with PI controller

Conjugate Gradient Approach for Discrete Time Optimal Control Problems with Model-Reality Differences

In this chapter, an efficient computation approach is proposed for solving a general class of discrete-time optimal control problems. In our approach, a simplified optimal control model, which is adding the adjusted parameters into the model used, is solved iteratively. In this way, the differences between the real plant and the model used are calculated, in turn, to update the optimal solution of the model used. During the computation procedure, the equivalent optimization problem is formulated, where the conjugate gradient algorithm is applied in solving the optimization problem. On this basis, the optimal solution of the modified model-based optimal control problem is obtained repeatedly. Once the convergence is achieved, the iterative solution approximates to the correct optimal solution of the original optimal control problem, in spite of model-reality differences. For illustration, both linear and nonlinear examples are demonstrated to show the performance of the approach proposed. In conclusion, the efficiency of the approach proposed is highly presented

Power Forecasting from Solar Panels Using Artificial Neural Network in UTHM Parit Raja

This paper presents a step-by-step procedure for the simulation of photovoltaic modules with numerical values, using MALTAB/Simulink software. The proposed model is developed based on the mathematical model of PV module, which based on PV solar cell employing one-diode equivalent circuit. The output current and power characteristics curves highly depend on some climatic factors such as radiation and temperature, are obtained by simulation of the selected module. The collected data are used in developing Artificial Neural Network (ANN) model. Multilayer Perceptron (MLP) and Radial Basis Function (RBF) are the techniques used to forecast the outputs of the PV. Various types of activation function will be applied such as Linear, Logistic Sigmoid, Hyperbolic Tangent Sigmoid and Gaussian. The simulation results show that the Logistic Sigmoid is the best technique which produce minimal root mean square error for the system

Performance comparison of PEMFC hydrogen reformer with different controllers

The renewable energy technology has become very popular due to major constraint in the existing electrical system such as high electricity demand, increased in fuel prices and concern of environmental pollution. The aims of this project are to develop a complete Proton Exchange Membrane Fuel Cell (PEMFC) model with hydrogen reformer by using MATLAB/ Simulink with three different controllers and comparison between the three controllers will be discussed. This project presents the development of methods to solve the problem of PEMFC output voltage by using different controllers which are Proportional Integral (PI), Proportional Integral Derivatives (PID) and Proportional Integral Fuzzy (PI-Fuzzy) controllers. The Ziegler Nicholas tuning method is used to tune PI and PID gains in a Simulink model. It helps the system to achieve a balance between performance and robustness for both controllers. The Mamdani type was used to develop the fuzzy controller in Simulink model. The transient performances that will be discussed are rise time, settling time, maximum overshoot, and percentage of overshoot. The results show that the proposed PI-Fuzzy is better than the conventionally used PI and PID controllers

Bending mechanism for piezoelectric transducer

This paper tests and analyzes a piezoelectric transducer with bending mechanism based on the bending condition of piezoelectric transducer after applying a force on the bending mechanism that increase the stress on the piezoelectric surface and thus increase the electrical charges produced An impact force is being exerted onto bending mechanism to bend the piezoelectric transducer and hence generating useable electrical power. The proposed prototype bending mechanism was built by using SolidWork soft-ware and manufactured by employing 3D printer technology to conduct the evaluation. This bending mechanism is divided into two parts, presser and support housing. The presser is design with four different diameter to test the piezoelectric transducer. A round piezoelectric transducer with the size of 50 mm in diameter is used to demonstrate the experiment. This piezoelectric transducer is placed in support housing and the presser is used to give pressure to the piezoelectric transducer. A subject is assigned to hold the presser and press in on the surface of the piezoelectric transducer. It can be seen from the experiment that the last presser with diameter 22.35 mm generated the highest output voltage about 44.0 V. The reported mechanism is a promising candidate in the application of energy harvesting by using piezoelectric transducer for powering various low power output devices