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13th IEEE Global Conference on Consumer Electronic, GCCE 2024

作者： Ismail, Abdurrahman Ponniran, Asmarashid Choon, Chew Chang Eh Kan, Chessda Uttraphan Ahmadon, Mohd Anuaruddin Yamaguchi, Shingo Universiti Tun Hussein Onn Malaysia Faculty of Electrical and Electronic Engineering Johor Batu Pahat Malaysia Universiti Teknologi Petronas Department of Computer and Information Sciences Perak Seri Iskandar Malaysia Yamaguchi University Graduate School of Sciences and Technology for Innovation Japan

ISBN: (纸本)9798350355079

The proliferation of smartphones has heightened concerns regarding their unauthorized use in restricted areas, posing significant security risks and compromising data integrity. This paper addresses the challenge of detecting unauthorized mobile phone activity in sensitive locations, focusing on examination rooms as a critical case study. It proposes a mobile phone detector system using RF signal detection and an IoT platform for real-time alerts. The system, built with Arduino and an antenna, uses an AD8318 RF power detector to analyse signals from mobile phones. The system successfully detects 4G and 5G signals within a voltage range of 1.2 V to 0.7 V and an effective range of up to 30 cm. It also features real-time alerts via a buzzer and data transmission to the Blynk IoT platform, enhancing security. Tests confirmed the system's accuracy and reliability, though it has limitations such as inconsistent response times and limited detection range. Future improvements will focus on extending the detection range and refining the alert mechanisms for better performance in various environments. © 2024 IEEE.

关键词： Smartphones

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Design and Optimization of Single-Shunt Diode RF Rectifier Using Electromagnetic Co-Simulation 12

Design and Optimization of Single-Shunt Diode RF Rectifier U...

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12th International electrical engineering Congress, iEECON 2024

作者： Arpanutud, Kirote Pongthavornkamol, Tiwat Akkaraekthalin, Prayoot Chalermwisutkul, Suramate Kasetsart University Sriracha Campus Faculty Of Engineering At Sriracha Chonburi Thailand National Electronics And Computer Technology Center The National Science And Technology Development Agency Pathumthani Thailand King Mongkut's University Of Technology North Bangkok Faculty Of Engineering Department Of Electrical And Computer Engineering Bangkok Thailand The Sirindhorn International Thai-German Graduate School Of Engineering King Mongkut's University Of Technology North Bangkok Bangkok Thailand

ISBN: (纸本)9798350383591

In this paper, an efficient design process for a single-shunt diode RF rectifier is proposed. The technique focuses on tuning microstrip line sections in electromagnetic and circuit co-simulation. The design study can achieve an RF-to-DC conversion efficiency of 51.27% at the center frequency of 950 MHz with -10 dBm input power. Good agreement between full wave electromagnetic simulation and electromagnetic/ circuit co-simulation is demonstrated, providing substantial support for the proposed RF rectifier design technique. © 2024 IEEE.

关键词： Conversion efficiency

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Simulation of IoT-based Pool Water Quality Monitoring System with Node-RED 13

Simulation of IoT-based Pool Water Quality Monitoring System...

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13th IEEE Global Conference on Consumer Electronic, GCCE 2024

作者： Hang, Lim Wei Saon, Sharifah Mahamad, Abd Kadir Kadir, Herdawatie Binti Abdul Ahmadon, Mohd Anuaruddin Yamaguchi, Shingo Universiti Tun Hussein Onn Malaysia Faculty of Electrical and Electronic Engineering Johor Batu Pahat Malaysia Universiti Teknologi Petronas Department of Computer and Information Sciences Perak Seri Iskandar Malaysia Yamaguchi University Graduate School of Sciences and Technology for Innovation Japan

ISBN: (纸本)9798350355079

In this study, we present a simulation-based approach to pool water quality monitoring, leveraging Internet of Things (IoT) technology using the Wokwi simulator. The main objective of this research is to ensure the hygiene and safety of swimming pools by monitoring key parameters which are temperature, pH, chlorine levels, and total dissolved solids (TDS). With Node-RED, real-time data received by the ESP32 within the Wokwi simulator is visualized, enabling users to assess the pool's condition at a glance. To enhance user awareness, proactive measures such as Telegram notifications and LED alerts are implemented to indicate deviations from predefined ranges. This research showcases the effectiveness of simulation-based solutions in maintaining optimal water quality standards and underscores the potential of IoT technologies in addressing challenges in aquatic environments. © 2024 IEEE.

关键词： IoT Monitoring system Node-RED Telegram Water quality

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Power Oscillation Damping of a Wind Turbine Generation with Battery Energy to Smoothen Power System Stability

Power Oscillation Damping of a Wind Turbine Generation with ...

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IEEE Southeastcon

作者： Ariesa Budi Zakaria Ilham Akbar Mayur Basu Eduard Muljadi Suwano Nanang Hariyanto Graduate Program PLN-ITB PLN Corporate University Auburn USA Electrical and Computer Engineering Auburn University Auburn USA School of Electrical Engineering and Informatics Institut Teknologi Bandung (ITB) Bandung Indonesia

Integrating wind turbine generation (WTG) into the power grid presents challenges due to their variable and unpredictable output, creating instability. The intermittent nature of wind power and the reduced inertia of wind turbines pose significant challenges to maintaining power system stability, especially during grid faults and transient events. Intermittency can impact the electrical grid's stability and requires additional grid balancing and energy storage measures. This study proposes a Power Oscillation Damping (POD) control scheme integrated with battery energy to enhance WTG stability following grid faults. The proposed scheme combines a POD controller for WTG and a battery controller, demonstrating faster oscillation damping than a WTG without batteries. During damping control, the scheme prioritizes active power control of POD, utilizing the wind turbine's kinetic energy. Simultaneously, the reactive power control of POD adjusts based on the synchronous generator's rotational speed to maintain voltage stability. Feedback for both control loops is derived from the nearest synchronous generator, ensuring coordinated and responsive control. Adding a battery into the control scheme helps to smooth out power fluctuations and enhance stability. Therefore, it is possible to compensate for the intermittency of wind power and voltage drop after short-circuit events through various measures, such as advanced control systems and battery power. The effectiveness of this proposed control scheme, with the added integration of Battery Energy, is validated through the PSCAD simulator involving a short-circuit fault in a two-area power system. Results demonstrate a notable improvement in power system stability, particularly after grid faults.

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Single Layer Antenna based on Gap Waveguide Technology with Dual-Circular Polarization for 60-GHz Band

Single Layer Antenna based on Gap Waveguide Technology with ...

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European Conference on Antennas and Propagation, EuCAP

作者： Ali Farahbakhsh Davood Zarifi Ashraf Uz Zaman Electrical and Computer Department Graduate University of Advanced Technology Kerman Iran School of Electrical and Computer Engineering University of Kashan Kashan Iran Department of Electrical Engineering Chalmers University of Technology Gothenburg Sweden

A dual-circularly polarized antenna element based on E-plane groove gap waveguide (GGW) for 60 GHz applications is presented in this work. The simulated return loss of the antenna is better than -10 dB for both polarizations in the working frequency bandwidth of antenna covering from 58 GHz to 62 GHz. The axial ratio of the proposed antenna is better than 2.5 dB in the whole bandwidth. The simulation results prove that the proposed antenna element is a good candidate to design larger array with dual circular polarization for different wireless applications at millimeter wave frequency range.

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Design and Strategy Deployment of SD-WAN Technology: In Indonesia (Case Study: PT. XYZ)

Design and Strategy Deployment of SD-WAN Technology: In Indo...

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2021 International Conference on Green Energy, Computing and Sustainable Technology, GECOST 2021

作者： Pratiwi, Wiwi Gunawan, Dadang Universitas Indonesia Graduate Program of Telecommunication Management Department of Electrical Engineering Jakarta Indonesia

ISBN: (纸本)9781665438650

For large companies with branch offices spread across various regions, it is not enough to rely on traditional wide area network (WAN) technology to connect networks between data centers, head offices, and branch offices that are far apart. This is because traditional WAN operation requires many devices with their own complexities. SDN is a method that separates the Control Plane and the Forwarding Plane. In a traditional network, the two functions above are in the same device. One of the SDN technologies on the network is SD-WAN. Another problem in traditional network is WAN infrastructure primarily uses MPLS, which can be very expensive and has limited bandwidth. With the increasing volume of data, MPLS costs can be quite high the expensive cost. PT. XYZ as a banking company that has branches scattered everywhere must pay attention to this. This paper proposes the suitable design and implementation scenario of SD-WAN technology at PT. XYZ so that the existing network can be integrated. From the proposed design, it can be shown that SD-WAN technology is able to answer the weaknesses of traditional WANs in terms of ease of monitoring, cost efficiency, and flexibility © 2021 IEEE.

关键词： Wide area networks

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Deep Convolutional Neural Networks for Accurate Solar Module Classification in Thermal Images

Deep Convolutional Neural Networks for Accurate Solar Module...

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International electrical engineering Congress (iEECON)

作者： Chutinun Phungket Prasit Nangthin The Graduate Program Faculty of Engineering Faculty of Engineering Pathumwan Institute of Technology Bangkok Thailand Department of Electrical Engineering Faculty of Engineering Pathumwan Institute of Technology Bangkok Thailand

ISBN: (数字)9798350383591

ISBN: (纸本)9798350383607

The rapid and continuous technological advancements in computer and internet technologies, combined with data management techniques, find applications in various domains. For example, they aid in predictive maintenance systems, evaluate the performance of solar modules, and differentiate efficiently performing solar modules from less efficient ones using thermal imagery. The accuracy of solar module classification significantly impacts the subsequent assessment. In this study, we employ advanced techniques, particularly deep learning through Convolutional Neural Networks (CNN), to classify thermal images of solar modules. The practical aspects of applying CNN to the dataset of thermal images are explored, including transfer learning from pretrained CNN architectures and custom CNN architecture training. Experiments are conducted with three prominent types of solar module conditions: normal, cracked, and dusty. The results reveal that the most effective approach involves learning and fine-tuning pre-trained architectures on detailed studies, achieving a classification accuracy of up to 94.5 % .

关键词： Training Photovoltaic cells Transfer learning Neural networks computer architecture Thermal conductivity Thermal analysis

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Contract-Inspired Contest Theory for Controllable Image Generation in Mobile Edge Metaverse

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IEEE Transactions on Mobile Computing 2025年

作者： Liu, Guangyuan Du, Hongyang Wang, Jiacheng Niyato, Dusit Kim, Dong In Nanyang Technological University College of Computing and Data Science Energy Research Institute @ NTU Interdisciplinary Graduate Program Singapore University of Hong Kong Department of Electrical and Electronic Engineering Hong Kong Hong Kong Nanyang Technological University College of Computing and Data Science Singapore Sungkyunkwan University Department of Electrical and Computer Engineering Korea Republic of

The rapid advancement of immersive technologies has propelled the development of the Metaverse, where the convergence of virtual and physical realities necessitates the generation of high-quality, photorealistic images to enhance user experience. However, generating these images, especially through Generative Diffusion Models (GDMs), in mobile edge computing environments presents significant challenges due to the limited computing resources of edge devices and the dynamic nature of wireless networks. This paper proposes a novel framework that integrates contract-inspired contest theory, Deep Reinforcement Learning (DRL), and GDMs to optimize image generation in these resource-constrained environments. The framework addresses the critical challenges of resource allocation and semantic data transmission quality by incentivizing edge devices to efficiently transmit high-quality semantic data, which is essential for creating realistic and immersive images. The use of contest and contract theory ensures that edge devices are motivated to allocate resources effectively, while DRL dynamically adjusts to network conditions, optimizing the overall image generation process. Experimental results demonstrate that the proposed approach not only improves the quality of generated images but also achieves superior convergence speed and stability compared to traditional methods. This makes the framework particularly effective for optimizing complex resource allocation tasks in mobile edge Metaverse applications, offering enhanced performance and efficiency in creating immersive virtual environments. © 2002-2012 IEEE.

关键词： Resource allocation

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Control of Three-Level PWM Inverter-Fed Induction Motor Drives

Control of Three-Level PWM Inverter-Fed Induction Motor Driv...

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IEEE Conference and Expo Transportation Electrification Asia-Pacific (ITEC Asia-Pacific)

作者： Sutthimat Mueangngoen Neerakorn Jarutus Yuttana Kumsuwan Department of Electrical Engineering Faculty of Engineering Graduate Program in Electrical Engineering Chiang Mai University Chiang Mai Thailand Department of Electrical Engineering Faculty of Engineering Chiang Mai University Chiang Mai Thailand

This paper presents the control of three-level PWM committed to a three-level twelve-switch inverter-fed induction motor drive. The proposed control is totally capable of extracting the maximum DC utilization with the classical continuous and discontinuous PWM. Moreover, in the light of the multi-level inherency, the low switching frequency is attractive to this application to avoid the high power losses, while it can maintain the stability of the operation. Regardless of the single or double carrier waves, optimized switching states associated with the proposed logical operation part, which is responsible for obtaining the multi-level characteristic of the inverter, are also proposed. Importantly, through the MATLAB/Simulink program, the steady-state and dynamic response of the high-performance drive with the classically indirect vector control are definitely investigated to confirm the effectiveness of the proposed control strategy.

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Daily Peak Load Forecast of Banda Aceh City Using Adaptive Neuro Fuzzy Inference System (ANFIS) Method

Daily Peak Load Forecast of Banda Aceh City Using Adaptive N...

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computer System, Information Technology, and electrical engineering (COSITE), International Conference on

作者： Heldi Tindra Ira Devi Sara Ramzi Adriman Graduate program of Electrical Engineering Universitas Syiah Kuala Banda Aceh Aceh Dept. of Electrical and Computer Engineering Universitas Syiah Kuala Banda Aceh Aceh

electrical energy has become a fundamental need for society to achieve economic and technical efficiency. To meet the demand for electrical energy, the thing that is done is Electric Load Forecast. In this study, we developed a daily peak load forecast model for Banda Aceh City by considering data on temperature, humidity, and today’s electricity load data at peak hours. Forecasts are made using artificial intelligence, namely, the Adaptive Neuro-Fuzzy Inference System (ANFIS) method. Software used Matlab R2015a to create a daily peak load forecast model based on the neuro-fuzzy designer toolbox. The ANFIS model developed is a variation of triangular, trapezium, and Gaussian membership function types, with each membership function equipped with 3 and 4 variable fuzzy sets. This study uses the MAPE instrument to measure the accuracy of the developed ANFIS model. The results obtained through simulations that have been carried out, all ANFIS Models produce MAPE values below 10%. This indicates that the developed ANFIS Model is very appropriate to be used for Daily Peak Load Forecast in Banda Aceh.

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