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Performance Measurement of LoRa Modules for Extending Smart Applications to The Things Network 5

Performance Measurement of LoRa Modules for Extending Smart ...

引用

5th international conference on Advances in Electrical, Electronics and computing Technology, EECT 2025

作者： Khoury, Afifi Al-Zoubi, Abdallah National Electric Power Company Amman Jordan Princess Sumaua University for Technology Amman Jordan

ISBN: (纸本)9798331541545

The performance of three LoRa modules with similar characteristics and designs was tested to select suitable options for smart applications. The modules were tested in a specific location in Jordan, which has unique terrains and weather conditions. A GPS module was added to simplify measurements of location and elevation. The data collected included the signal-to-noise ratio (SNR), the received signal strength indicator (RSSI), and benchmark sensor values for temperature and humidity. A Blynk server and Google Sheets scripts facilitated the real-time tracking process and automation of data collection. The results on signal behavior with distance should provide a guide in LoRa module design specification. A low-cost LoRa development board, which achieved over 7.5 Km in range and provided adequate signal stability, was utilized with a gateway to create a LoRaWAN-based system for smart applications. Distribution system. Further integration to The Things Network (TTN) produced promising outcomes for the LoRaWAN-based system, highlighting its potential for sustainable water management solutions. © 2025 IEEE.

关键词： Machine-to-machine communication

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Voice over Internet Protocol: Custom SIP Server with QoS Optimization for Real-Time communication 3

Voice over Internet Protocol: Custom SIP Server with QoS Opt...

引用

3rd international conference on Intelligent Data communication Technologies and Internet of Things, IDCIoT 2025

作者： Dinesh Krishna, B.V. Yogendrasai, P. Rajeev, S. Rajagopal, Shinu M. Department of Computer Science and Engineering Amrita School of Computing Amrita Vishwa Vidyapeetham Bengaluru India

ISBN: (纸本)9798331527549

VoIP is a revolutionary technology for transmission of voice over internet protocol than from plain telephony systems. But current VoIP solutions have some important issues which are packet loss, latency, and jitter especially when the network is in motion. This work outlines the design, implementation and performance of a locally developed VoIP system which includes a SIP Server Node, Sender Node and a Receiver Node. The SIP Server Node was designed nearly from the ground up to handle session initiation, packet forwarding, and adaptive QoS control. Both Sender and Receiver Nodes had facilities to record, compress and playback audio. The system’s performance was evaluated in a LAN environment, achieving significant improvements in Quality of Service (QoS) metrics: achieving low latency under 150 ms, 95% packet recovery and achieving a good audio quality with the MOS of 4.2. Evaluating the obtained results, it can be concluded that the proposed system is efficient in handling the issues of the packet-switched network and providing high-quality real time voice communication. © 2025 IEEE.

关键词： Packet loss

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Diabetic Foot Ulcer Classification Using Deep Learning Approach 8th

Diabetic Foot Ulcer Classification Using Deep Learning Appro...

引用

8th IFIP TC 12 international conference on Computer, communication and Signal Processing, ICCCSP 2024

作者： Sivakamasundari, P. Niranjana, G. Department of Computer Science and Engineering SRM Institute of Science and Technology Tamil Nadu Kattankulathur India Department of Computing Technologies SRM Institute of Science and Technology Tamil Nadu Kattankulathur India

ISBN: (纸本)9783031736162

Podiatrist diagnosis and lesion localization are used as current testing approaches for Diabetic Foot ulcers (DFU). Current systems for automation concentrate on either categorization or division. One of the most common metabolic conditions, Diabetes (also called diabetes mellitus), is brought on by the pancreas incapacity to generate sufficient anti hyper-glycemic hormone to control glycemia levels. It may cause "Diabetic Peripheral Neuropathy," a collection of nerve diseases that can develop if the blood glucose level is left uncontrolled and unmanaged. Blood glucose levels may be efficiently maintained by recognising diabetes initially through constant surveillance and screenings. Using image processing methods such as data stretching with Deep Learning, image reduction and improvement, image division, and feature extraction, this paper offers a thorough approach for analysing thermal scans of the diabetic foot. By using these techniques, doctors may assess and track a patient's condition with fewer examinations. In this work, EfficientNetB3 architecture is compared with other Deep Learning models for accuracy in DFU identification. To create a powerful deep learning model, we gathered an extensive collection of 1,775 DFU photos. The basis of belief for this data gathering was created by two medical experts using annotator software to define the DFU region of interest. It took 48 ms to figure out a single image and 57.2 MB to validate the model. EfficientnetB3 got an average mean accuracy of 93%. This work demonstrates the effectiveness of Deep Learning for DFU localization in real-time, which could have improved with the use of a larger data set. © IFIP international Federation for Information Processing 2025.

关键词： Diagnosis

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Soft-Starting of BLDC Motor Using Model Predictive control for Lightweight Electric Vehicles

Soft-Starting of BLDC Motor Using Model Predictive Control f...

引用

Advancements in Electrical, Electronics, communication, computing and automation (ICAECA), international conference on

作者： Sesharanjith M Arunkumar S Darshan K Subash Bharathi A Electrical and Electronics Engineering Kumaraguru College of Technology Coimbatore Tamil Nadu

ISBN: (数字)9798331525439

ISBN: (纸本)9798331525446

This Project focuses on soft starting of a Brushless DC Motor (BLDCM) with arrangement of Landsman Converter and Voltage Source Inverter (VSI). This innovative configuration incorporates Model Predictive control for BLDCM propulsion. This arrangement eliminates the initial inrush current and initial high torque. The converter is made to operate to maneuver and regulate the input DC voltage fed to the voltage source inverter thereby enabling precise control over the BLDCM speed, hence the landsman converter takes care of the speed control of the BLDCM by gradually applying the voltage to VSI, the switching burden of VSI is reduced. As a result, the VSI switches now operate at low-frequency signals, so switching losses of the system are minimized significantly. The project's performance evaluation utilizes the MATLAB-Simulink platform, ensuring a thorough and reliable assessment of the overall system's capabilities. Usage of Model Predictive control helps in gradual increase voltage during sudden loading and unloading conditions of the vehicle. Based on the iterations it keeps updating itself for the gradual increase in voltage waveforms.

关键词： Torque Voltage source inverters Motors Electric vehicles control systems Reliability Voltage control Stress Inrush current Predictive control

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Evaluating Lightweight Asymmetric Cryptography for Secure communication in Internet of Drones 4

Evaluating Lightweight Asymmetric Cryptography for Secure Co...

引用

4th international conference on Power, control and computing Technologies, ICPC2T 2025

作者： Nanda, Ashok Kumar Marukanti, Srihari Reddy Harish, Upendram Dheeraj, Bavanari Venkata Adoni, Bindu Sree Reddy, Chadala Raghavendar Nanda, Shivangi CSE Department B V Raju Institute of Technology Vishnupur Narsapur Medak Telangana Greater Hyderabad502313 India School of Electronics Engineering VIT-AP University Beside AP Secretariat Andhra Pradesh Amaravathi522241 India

ISBN: (纸本)9798331530402

Unmanned aerial vehicles (UAVs) are being successfully used in a variety of applications, including agriculture, search and rescue operations, surveillance systems, and mission-critical services, thanks to some technological and practical advantages, such as high mobility, the ability to extend wireless coverage areas, or the capacity to reach locations inaccessible to humans. In contrast, attacks against drones, as opposed to traditional cyberattacks, typically happen as a result of serious design flaws and a lack of wireless security protection meth- ods. The study examines lightweight asymmetric cryptographic algorithms for secure Internet of Drones (IoD) communication, addressing cybersecurity challenges within this emerging technology. It evaluates RSA, ElGamal, Diffie-Hellman, and Elliptic Curve Cryptography (ECC), focusing on their suitability for IoD through comparative analysis of calculation time, memory usage, key size, and security. The goal is to contribute to developing robust, efficient, and secure communication protocols for IoD, promoting growth while mitigating risks. This research is pivotal for the advancement of IoD security, exploring the application of these cryptographic techniques to ensure secure, efficient operations within the IoD framework. © 2025 IEEE.

关键词： Target drones

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Improvement in Load Frequency control of Nonlinear Power System with IDDF controller

Improvement in Load Frequency Control of Nonlinear Power Sys...

引用

international conference on Systems, control and automation, ICSCA 2023

作者： Naga Sai Kalyan, C.H. Naga Lahari, Y. Sameer, Sk. Chetan, V. Althaf, Sk. EEE Department Vasireddy Venkatadri Institute of Technology Guntur522 508 India

ISBN: (纸本)9789819773831

In this paper, an integral-double derivative plus filter (IDDF) optimized with the crow search technique (CST) is enforced as a secondary controller for load frequency control (LFC) of two areas of the traditional nonlinear power system (TATNLPS). Investigation on TATNLPS is began with 10% step load disturbance (SLD) on area-1. However, the TATNLPS is considered with the practical constraint of communication time delays (CTDs) to conduct research towards the realistic practice. Later, to improve the LFC performance an additional mechanism of capacitive energy storage (CES) and unified power flow control (UPFC) is adopted. Simulation analysis reported the TATNLPS performance improvement by integrating the CES-UPFC control mechanism. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Load flow control

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Enhanced Coffee Bean Defect Detection Using Super-Resolution GANs and Deep Learning 2

Enhanced Coffee Bean Defect Detection Using Super-Resolution...

引用

2nd international conference on Computational Intelligence, communication Technology and Networking, CICTN 2025

作者： Prabu, S. Thanigaivelu, P.S. Poonkodi, S. Anand, M. Department of Computing Technologies School of Computing SRM Institute of Science and Technology Kattankulathur TamilNadu Chennai603203 India

ISBN: (纸本)9798331530389

Image Super-Resolution (SR) is a key challenge in computer vision, focusing on enhancing low-resolution images while preserving details. This paper presents a novel method using Generative Adversarial Networks (GANs) for improving image quality, specifically targeting coffee bean defect detection. The proposed SR-GAN model includes a generator that upscales low-resolution inputs and a discriminator that differentiates between generated high-resolution images and real ones. Trained on a coffee bean dataset, the model optimizes loss functions to balance perceptual quality and fidelity, capturing subtle defects like cracks and discolorations. Enhanced images are processed by two Convolutional Neural Networks (CNNs): one identifies broad defect categories, such as defective black beans, brown beans, broken beans and non-defective high-quality beans. This layered approach ensures more precise defect identification and classification, overcoming limitations of previous methods that struggled with subtle defects. Performance evaluations show that SR-GAN and CNN significantly outperforms existing models in resolution enhancement and classification accuracy, offering a robust solution for improving quality control in coffee production. © 2025 IEEE.

关键词： Convolutional neural networks

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ST-FLAM: Evaluating Performance of Deep Learning Models on Mobility Patterns for EVD Forecasting based on Spatio-Temporal Feature Learning 24

ST-FLAM: Evaluating Performance of Deep Learning Models on M...

引用

13th international conference on Networks, communication and computing, ICNCC 2024

作者： Fofanah, Abdul Joseph Sankoh, Albert Patrick Dumbuya, Ibrahim Kamara, Alpha Alimamy Conteh, Zachariyah Bai School of Information and Communication Technology Griffith University BrisbaneQLD Australia Khoury College of Computer Science Northeastern University BostonMA United States School of Technology Njala University Western Area Freetown Sierra Leone College of Computer Science and Technology Central South University Hanan Changsha China

ISBN: (纸本)9798400717352

Ebola Virus Disease (EVD) is a highly contagious and fatal disease that poses a serious threat to public health and security. Accurate and timely forecasting of EVD outbreaks is essential for effective prevention and control measures. However, traditional epidemiological models often fail to capture the complex and dynamic nature of human mobility, which plays a key role in EVD transmission. In this paper, we propose a novel framework for EVD forecasting based on spatio-temporal feature learning called ST-FLAM. We use various types of mobility data, such as phone records, Global Positioning System (GPS) traces, and social media posts, to extract meaningful and representative features that reflect the mobility patterns of individuals and populations. Next, we employ ST-FLAM architectures, which incorporate Graph Neural Networks (GNN) and Long Short Term Memory (LSTM), to establish connections and dependencies between mobility features and EVD cases in both space and time. We evaluate the performance of our framework on real-world datasets from the 2014-2016 West Africa EVD outbreak and the 2015-2016 EVD and human mobility in Sierra Leone. We compare our framework with baseline methods to handle traditional epidemiological challenges during an outbreak. We conduct ablation studies and analyse the impact of different mobility data sources, feature extraction methods, and deep learning architectures on EVD forecasting accuracy. Our results show that our framework outperforms the baselines and achieves state-of-the-art performance in EVD forecasting. We also demonstrate that our framework can provide interpretable and actionable insights for EVD prevention and control. © 2024 Copyright held by the owner/author(s). Publication rights licensed to ACM.

关键词： Diseases

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UAV control in Multi-access Edge computing Using Markov Decision Process 1st

UAV Control in Multi-access Edge Computing Using Markov Dec...

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1st international conference on Intelligent Systems, Blockchain, and communication Technologies, ISBCom 2024

作者： Elghitani, Fadi Fayed, Ibraheem M. National Telecommunication Institute Cairo Egypt

ISBN: (纸本)9783031823763

Cloud computing is the pradigim where service providers carry-on computational tasks for their customers. Multi-access Edge computing (MEC) is a recent form of service where the computational tasks are carried in a distributed manner at the edge of the network to be as close to customer as possible. This new pradigim have the advantage of lowering the latency, making the pradigim suitable for real-time applications. One promising way to deploy MEC is to mount the servers over a UAV which can be moved dynamically to become closer to users. In this paper, we address the challenges associated with UAV-mounted servers like energy consumption and path routing. We propose a UAV control mechanism based on continuous-time Markov Decision Process (CT-MDP). We demonstrated the advantage of the proposed mechanism in terms of task-satisfaction rate and policy computational time. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

关键词： Markov processes

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Touch Panel-Based Industrial Device Management System for Persons with Disabilities

Touch Panel-Based Industrial Device Management System for Pe...

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Advancements in Electrical, Electronics, communication, computing and automation (ICAECA), international conference on

作者： S. Jaganathan Muralidharan V Harish K Ajay Kumar M Gokul R Department of Electrical and Electronics Karpagam College of Engineering Coimbatore India

ISBN: (数字)9798331525439

ISBN: (纸本)9798331525446

The incorporation of touch screens in the control and monitoring of Industrial systems has substantially improved operational efficiency and user adaptability. This paper describes, developing and implementing an affordable scalable industrial device management system based on the ATmega328P microcontroller and a 7 inch DWIN touchscreen. The system allows real-time interactions with industrial devices such as sensors, actuators, and controllers, enabling powerful real-time monitoring and intuitive control of complicated processes. The ATmega328P is used as the CPU of the system and is the interfacing unit with industrial sensors for temperature, humidity, and pressure data, thereby allowing high precision real time data collection. Monitoring and controlling operations are performed from an advanced graphical user interface designed for the DWIN touch display. The GUI is designed to include customizable widgets such as active buttons, data panels, and gauges, enhancing user interaction. The communication between the microcontroller and the display is realized by robust serial communication and ensures an easy and reliable transfer of control and monitoring information. The system is intended to be modular, scalable and flexible for various industrial applications. By focusing on low-cost system implementation and including user-friendly design elements and real-time access to data, the solution makes a promising impact on the operational inclusiveness of the system particularly for people with physical disabilities. This work emphasizes the game-changing prospects of modern industrial automation and control systems through the integration of simplified hardware and complex software systems.

关键词： Temperature sensors Industries automation Microcontrollers Assistive technologies Touch sensitive screens Real-time systems Sensor systems Sensors Graphical user interfaces

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