Taiwan Association of Engineering and Technology Innovation: E-Journals
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Development of a Chaff Dispense Program for Target Tracking Radar Deception
Get PDFThis study aims to develop an appropriate chaff dispensing program to deceive the target tracking radar (TTR) effectively. Chaff is a countermeasure commonly used by fighter aircraft to deceive TTR. However, there has been a lack of methodology for calculating chaff dispense programs that take into account the specific characteristics of the fighter, chaff, and TTR. This study proposes a methodology that considers these variables to calculate chaff dispense programs and addresses this gap. The proposed method is demonstrated through TESS engagement, which shows its effectiveness in various engagement situations
Instructional Design, Learning Satisfaction, and Learning Outcome in a Virtual Reality Learning Environment Aimed at Improving the Cognition of Computer Hardware Components
Get PDFThe integration of teaching materials with virtual reality (VR) technology is a common method for improving student interaction in courses, providing students with experience related to real-life spatial environments in class. This study developed a cost-effective and portable device that offers an immersive VR experience for learning the identification of computer hardware components. This device enables teachers to train technicians in computer hardware fabrication. The experimental group comprised 12 participants. According to the results of the learning satisfaction analysis, the students highly enjoyed the immersive learning experience. Descriptive statistics and the Wilcoxon matched-pairs signed-rank test are used for statistical analysis. Analysis of cognitive learning outcomes indicated that all students accurately identified all computer components after the intervention. By using the immersion teaching method, teachers could considerably improve the learning outcomes of students related to their cognition of computer hardware components
Building Information Modeling in the Architecture and Construction Industry
Get PDFThis study aims to investigate the benefits, risks, barriers, and approaches of building information modeling (BIM) implementation in the architecture, engineering and construction (AEC) industries. Descriptive research methods such as surveys and key informant interviews are used to gather data. Respondents in the survey come from different AEC companies and are selected with a purposive sampling method. Descriptive statistics and one-way analysis of variance (ANOVA) are utilized to analyze the data. The narrative analysis method is also performed to validate the research findings through a desk review of secondary data. The result shows that the major benefit of BIM is earlier and more accurate design visualization, while the main risk is accountability and control of data entry into the model. Moreover, the major barrier to BIM implementation is the high acquisition cost, and the most recommended approach is to increase the availability of BIM technology
A Review of Control Techniques for Wind Energy Conversion System
Get PDFWind energy is the most efficient and advanced form of renewable energy (RE) in recent decades, and an effective controller is required to regulate the power generated by wind energy. This study provides an overview of state-of-the-art control strategies for wind energy conversion systems (WECS). Studies on the pitch angle controller, the maximum power point tracking (MPPT) controller, the machine side controller (MSC), and the grid side controller (GSC) are reviewed and discussed. Related works are analyzed, including evolution, software used, input and output parameters, specifications, merits, and limitations of different control techniques. The analysis shows that better performance can be obtained by the adaptive and soft-computing based pitch angle controller and MPPT controller, the field-oriented control for MSC, and the voltage-oriented control for GSC. This study provides an appropriate benchmark for further wind energy research
Humidity Control for Air Circulation in the Drying Process
Get PDFRecycling exhaust air is acknowledged as a method to reduce the energy consumption of agricultural products in the dryer. This study investigates the performance of an air circulation system at a laboratory scale and develops a feedback control compensator for optimizing the drying air circulation process. A servo motor is employed to drive a valve, to feed the exhaust drying air with high temperature and humidity back in different proportions. The system is controlled using an Arduino DUE microcontroller, which communicates data with MATLAB/Simulink. The system identification methodology is employed to analyze the mathematical model of the system. The result indicates that the response of the system meets the acceptance criteria when the percent overshoot is less than 25%, and the settling time is within 60 seconds (with a 2% error tolerance). Evaluation of control system performance during equilibrium employs R2 and RMSE values
Utilizing Ultra-High Performance Concrete Overlay for Road Pavement Repair and Strengthening Applications
Get PDFThis study aims to develop a new thixotropic ultra-high-performance concrete (UHPC) overlay for the repair and strengthening of damaged hot mix asphalt (HMA) pavements. The overlay is purposely designed to accommodate the roadway slope of up to 10% due to presence of viscosifying agent materials. The original UHPC materials are comprised of granite aggregate, ultra-fine calcium carbonate, shrinkage-reducing admixture, viscosifying agent, and expansive agent. The study is conducted with three sets of samples provided and considers thixotropic and mitigated shrinkage properties through comparing control (non-thixotropic) overlay 1 (thixotropic), and overlay 2 (thixotropic) mixtures. Based on the obtained results, only overlay 1 corresponds to the minimum requirement for pavement rehabilitation, with 160-200 mm flowability and -545.3 µm/m free shrinkage. As a result, an average 50 mm thick overlay 1 is selected to repair a damaged HMA pavement (1800 m2), while the field implementation procedures and drawing details are also presented in this paper
Skin Lesion Classification towards Melanoma Detection Using EfficientNetB3
Get PDFThe rise of incidences of melanoma skin cancer is a global health problem. Skin cancer, if diagnosed at an early stage, enhances the chances of a patient’s survival. Building an automated and effective melanoma classification system is the need of the hour. In this paper, an automated computer-based diagnostic system for melanoma skin lesion classification is presented using fine-tuned EfficientNetB3 model over ISIC 2017 dataset. To improve classification results, an automated image pre-processing phase is incorporated in this study, it can effectively remove noise artifacts such as hair structures and ink markers from dermoscopic images. Comparative analyses of various advanced models like ResNet50, InceptionV3, InceptionResNetV2, and EfficientNetB0-B2 are conducted to corroborate the performance of the proposed model. The proposed system also addressed the issue of model overfitting and achieved a precision of 88.00%, an accuracy of 88.13%, recall of 88%, and F1-score of 88%
Determination of the California Bearing Ratio of the Subgrade and Granular Base Using Artificial Neural Networks
Get PDFThe objective of the research is to estimate the value of the California bearing ratio (CBR) through the application of ANN. The methodology consists of creating a database with soil index and CBR variables of the subgrades and granular base of pavements in Jaen, Peru, carried out in the soil mechanics laboratories of the city and the National University of Jaen. In addition, the Python library Seaborn is for variable selection and relevance, and the scikit-learn and Keras libraries were used for the learning, training, and validation stage. Five ANN are proposed to estimate the CBR value, obtaining an error of 4.47% in the validation stage. It can be concluded that this method is effective and valid to determine the CBR value in subgrades and granular bases of any pavement for its evaluation or design
Research and Development of Environmental Monitoring Alarm and Automatic Flag Control System for Barracks
Get PDFThis paper proposes a real-time flag alarm system that can monitor air quality and automatically plant colored flags to inform the people in the barracks. This system automatically measures the local PM 2.5 concentrations with PM sensors; and automatically measures the temperature and humidity with temperature and humidity sensors, then converts the measured values into the grades of danger coefficients and the grades of AQI to plant or replace flags by automatic control. The danger coefficient grades are represented by four colored flags, namely, green, blue, yellow, and red; meanwhile, the AQI grades are represented by six colored flags, namely, green, yellow, orange, red, purple, and maroon. Moreover, this system displays all measured data and related information with electronic billboards to provide a reference for people participating in outdoor activities
Forward Kinematics Based Prediction for Bending Motion of Soft Pneumatic Actuators with Various Air Chambers
Get PDFThis study proposes a forward kinematic model for soft actuators that utilize pneumatic control to predict their bending motion, which is simulated using Ansys software. Firstly, a bending motion test is conducted with a 2-air chamber actuator to derive an equation that establishes the relationship between the bending angle and input pressure. Next, a serial model for the overall soft actuator is developed using forward kinematics with the DH method. The angle variables in the soft actuator are then replaced with an equation that relates the deformed angle and compressed air. Finally, the proposed serial model is used to predict the bending motion of 4-air and 6-air chamber actuators, and the results are compared to simulations and real experiments. The comparison shows that the proposed model could accurately predict the bending motion of the real actuators within an acceptable tolerance of 10%