Thailand Electrical Engineering Journal (TEEJ)

A CNN-Based Approach to Rice Plant Disease Classification: Overfitting Prevention Strategies

2024-08-29T22:29:46+07:00

Rice plant diseases can be an interference to the production of cropping rice plants. The timely and precise detection and classification of the disease is the key to reduce the potential of deprived output. Convolutional Neural Networks (CNNs) have shown a great potential in image recognition and classification, including rice plant disease classification. Nevertheless, CNNs are likely to be overfitting. This research paper proposes a use of combination of overfitting prevention techniques for CNN-based approach to rice plant disease classification. The techniques used are data augmentation, max pooling with stride, dropout and early stopping. The CNN model with these overfitting avoidance strategies is trained to classify the disease of the rice plant leaves and resulted in a prediction accuracy of 0.93. We conclude that this CNN-based architecture is considered to be effective and reliable for rice plant disease classification.

Smart Sensors and IoT-based LoRaWAN Integration for Water Metering in Smart Cities

2024-08-30T10:29:27+07:00

This research presents the integration of smart sensors and IoT (Internet of Things) for water usage data collection, anomaly detection in water volume, and meter theft prevention. It compares two types of sensors: inductive proximity sensors and smart sensors. The study analyzes the performance and accuracy of each sensor and assesses their suitability for use in smart city systems. The experimental results indicate that both sensors are accurate compared to traditional mechanical meters, and the data can be stored and displayed on the cloud. The smart sensor can detect water flow direction and prevent meter theft, enabling consumers and producers to closely monitor water usage and ensure accurate billing. This can be applied to the development and utilization of technology to improve water management efficiency in smart city systems.

Optimization Methods Through Selecting Suitable Search Techniques in Adaptive Hypercubes

2024-09-04T11:55:26+07:00

This paper proposes two methods for unconstrained single objective optimization by creating a search space called a hypercube, where the position and boundaries vary according to the objective function values. The search within the hypercube utilizes either an exploratory search algorithm or an Adaptive Coefficient Particle Swarm Optimizer (ACPSO) based on the improvement of previous search results. The performance of these search methods is tested using seven benchmark functions with dimensions of 10, 15, and 20. The proposed methods successfully find solutions for up to five functions. They can obtain search values close to the solution of the Rosenbrock function, whereas most search methods tend to get trapped in the search process. The proposed search methods maintain their good performance even as the number of dimensions of the functions increases.

The design of a gate drive circuit for inverter DC12V to AC220V

2024-09-02T15:57:15+07:00

This paper presents the design of a gate drive circuit for inverter DC12V to AC220V, providing additional details from the 46th Electrical Engineering Conference [1]. The designed circuit uses both NPN and PNP transistors. Other components used are basic electronic devices that are easily obtainable, ensuring a continuous supply of components when mass-producing the product. Additionally, using transistors results in a lower cost compared to using integrated circuits (ICs). Testing the circuit showed that the designed gate drive circuit for the 12V DC to 220V AC inverter can drive an iron-core transformer with a PWM wave at a high frequency of 110kHz. The higher frequency allows for a smaller and cheaper design of the high-frequency signal filter circuit. This circuit design is well-suited for a 500W inverter.

The simulation of single cooper pair trasistor for megnetic flux detector

2024-09-26T13:08:52+07:00

This article presents a study on the characteristics of single Cooper-pair transistors when integrated into a Superconducting Quantum Interface Device (SQUID) circuit. SQUID is a highly sensitive magnetometer that uses phase balance checks through single Cooper-pair transistors when Josephson currents flow. The study explores the tuning of the supercurrent of the single Cooper-pair transistors in a circuit with a loop coupled to gate voltage. Understanding the behavior of single Cooper-pair transistors in this loop structure is crucial for integrating them with other superconducting electronic circuits. The research includes simulations of the single Cooper-pair transistor in one branch of a SQUID loop circuit. The simulation results indicate that single Cooper-pair transistors can be used as superconducting current switches.

Novel Application of Atmospheric Low Temperature DBD Plasma for Water Quality Improvement

2024-09-02T17:12:49+07:00

This article presents a study on improving the properties of plasma-activated water (PAW) using low-temperature plasma under atmospheric environment. A plasma generator was developed and designed using a dielectric barrier discharge (DBD) technique to produce water enriched with nitrogen fertilizer components. The DBD plasma-activated water generator was designed with a coaxial dielectric barrier discharge system to aid in dissipating heat accumulated on the electrode surface during plasma generation with circulating water. The plasma is generated between the water surface and the lower surface of the coaxial dielectric barrier discharge tube. The experimental results of studying the effect of activation time on mineral water, which was repeatedly activated for 4 cycles, showed that the water parameters changed significantly with an increasing number of cycles per water activation. After the 4^th cycle, the most significant changes were observed. The pH and oxidation-reduction potential (ORP) values decreased with increasing cycles, decreasing to 8.50 and 170 mV, respectively. Meanwhile, the total dissolved solids (TDS) and electrical conductivity (EC) values increased to a maximum of 280 ppm and 550 µS/cm, respectively. Additionally, the concentrations of hydrogen peroxide, ozone, and nitrate in the plasma-activated water increased. These chemical changes help improve water properties and enhance the efficiency of liquid fertilizer production in the agricultural sector.