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19th International Bhurban Conference on Applied Sciences and Technology, IBCAST 2022

作者： Qurat-Ul-Ain Javed, Ali Mahmood Malik, Khalid University of Engineering and Technology Dept. of Computer Science Taxila Pakistan University of Engineering and Technology Dept. of Software Engineering Taxila Pakistan Oakland University Dept. of Computer Science and Engineering United States

ISBN: (数字)9781665460514

ISBN: (纸本)9781665460514

With the growing number of sophisticated deep learning algorithms and fake video generation applications, it is now possible to create highly realistic deepfake videos. Faceswap is the most commonly employed deepfakes approach, which is challenging to detect due to variations in the facial skin tone, illumination conditions, presence of accessories like glasses on the face, compression artifacts, etc. Existing local texture descriptors have achieved better performance on face recognition applications;however, they compute only the limited directional information while ignoring the magnitude details. This motivated us to develop a robust local texture descriptor to extract more directional and magnitude details from the adjacent pixels to effectively represent the video frames. For this purpose, we proposed a robust multi-directional hexadecimal feature descriptor (MDHFD) by combining the local hexadecimal pattern (LHeXDP) and Local Adjacent Neighborhood Magnitude Pattern (LANMP). LHeXDP calculates the orientation-based pattern by computing 1st- and 2nd-order derivatives at 0°, 45°, 90°, and 135° angles from each center pixel. LANMP computes the magnitude information from each central pixel to its adjacent pixels in horizontal, vertical, diagonal, and diagonal-back directions. Histograms of both the LHeXDP and LANMP are fused to compute a multi-directional feature vector, which is used to train a support vector machine to classify between the original or faceswap deepfakes video. We measured the performance of our system on the challenging faceswap subset of a diverse and large-scale Face Forensic++ and World Leaders datasets. Experimental results illustrate that the proposed method outperforms state-of-art methods for the detection of faceswap deepfakes. © 2022 IEEE.

关键词： Pixels

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Development of a Predictive IoT-Based System for Real-Time Air Quality Monitoring and Route Optimization 6

Development of a Predictive IoT-Based System for Real-Time A...

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6th International Conference on Advancements in Computing, ICAC 2024

作者： Inthikhaff, M.I.M. Rimas, M.J.M. Kumari, J.M.D. Pasan, M.G.R. Kahandawaarachchi, K.A.D.C.P. Wijesiri, M.P.M. Sri Lanka Institute of Information Technology Dept. of Information Technology Malabe Sri Lanka Sri Lanka Institute of Information Technology Dept. of Computer Systems Engineering Malabe Sri Lanka

ISBN: (数字)9798331517878

ISBN: (纸本)9798331517878

Sri Lanka faces significant air pollution challenges, primarily from vehicular emissions, posing serious public health risks and impacting the quality of life. To address this, we developed a real-time air quality monitoring system that visualizes pollution data through an interactive heatmap. Our system integrates gas sensors that measure methane (CH4), carbon monoxide (CO), carbon dioxide (CO2), sulfur dioxide (SO2), nitrogen dioxide (NO2), and particulate matter (PM.), connected to an ESP32 board and Wi-Fi module, and strategically deployed around smart buildings. The collected data is transmitted to a central hub using IoT technology and visualized on a mobile app developed with Flutter, featuring a color-coded scheme to represent pollution levels. This allows users to easily identify high-risk areas and select cleaner routes for travel. In testing, we focused on predicting PM. concentrations in Colombo using machine learning models, including Random Forest, XGBoost, and Prophet. Random Forest excelled in PM. prediction, while Prophet was highly effective for CO, demonstrating machine learning's potential in air quality forecasting. The system also includes a MIMI Air device that collects, processes, and transmits air quality data every 30 seconds, alerting users in real-time when pollutants exceed WHO thresholds, providing a cost-effective, reliable solution for public health. © 2024 IEEE.

关键词： Decision trees

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Designing and Simulating a Smart Water Harvesting System Using PLC Techniques

Designing and Simulating a Smart Water Harvesting System Usi...

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2023 International Conference on Innovation and Intelligence for Informatics, Computing, and Technologies, 3ICT 2023

作者： Thabet, Hassaan Th. H. Al-Hilali, Aqeel A. Qasim, Haitham B. Thabit, Thabit H. Mahmood, Firas M. Al-Hadba University College Techniques Engineering Dept. of Medical Instruments Mosul Iraq Al-Farahidi University Dept. of Medical Instruments Engineering Techniques Baghdad Iraq Al-Esraa University College Dept. of Computer Science Baghdad Iraq Ninevah University Dept. of Computer Engineering and Information Mosul Iraq Cihan University-Erbil Dept. of Informatics and Software Engineering Iraq

ISBN: (纸本)9798350307771

The presence of water in human life is crucial, and God has blessed humans much with its availability. This paper tries to reduce the amount of water that people use for washing in all aspects of daily life and instead utilize it to irrigate gardens and maintain hygienic facilities. The importance of water as a fundamental ingredient and the range of social and age groups that regularly take advantage of the washing process made it an ideal location for water waste during the washing process. This is why the authors choose this region to conduct their research. The monitoring and management of water usage during the washing process are simulated using PLC techniques. © 2023 IEEE.

关键词： Washing

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Exploiting Impact of Eavesdropping Attacks on Secrecy Performance in WPT-based Secure Multi-hop Transmission 14

Exploiting Impact of Eavesdropping Attacks on Secrecy Perfor...

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14th International Conference on Ubiquitous and Future Networks, ICUFN 2023

作者： Shim, Kyusung An, Beongku Hankyong National University School of Computer Engineering & Applied Mathematics Korea Republic of Hongik University Dept. of Software and Communications Engineering Korea Republic of

ISBN: (纸本)9798350335385

In this paper, we study the impact of various eaves-dropping attacks on the secrecy performance in wireless power transfer (WPT)-based secure multi-hop transmission. Since each node has a limited power supply, each node harvests energy from the power beacon before data transmission. After then, each node fully consumes the harvested energy for data transmission. Meanwhile, according to the nature of the wireless medium, eavesdroppers can overhear the confidential message at each hop. In order to exploit the relationship between network parameters and secrecy performance, we derive the closed-form expression for secrecy outage probability (SOP) with different eavesdropping attacks, respectively. From the numerical results, we show that the Monte-Carlo simulation and analysis results are tightly matched. Additionally, we evaluate and discuss the impact of the power beacon's transmit power, the number of eavesdroppers, and time switching ratio on the secrecy performance. © 2023 IEEE.

关键词： Monte Carlo methods

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SWIN and Vision Transformer-Driven Crack Detection in the Al Qattara Oasis, UAE: Towards Sustainable Infrastructure Management 11

SWIN and Vision Transformer-Driven Crack Detection in the Al...

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11th IEEE/ACM International Conference on Big Data Computing, Applications and Technologies, BDCAT 2024

作者： Ali, Luqman Ambali Parambil, Medha Mohan Swavaf, Muhammed Alnajjar, Fady Aljassmi, Hamad De Man, Adriaan De Emirates Centre for Mobility Research United Arab Emirates University Dept. Computer Science and Software Engineering Al Ain United Arab Emirates United Arab Emirates University Dept. Computer Science and Software Engineering Al Ain United Arab Emirates Emirates Centre for Mobility Research Dept. Civil and Enviromental Engieering Engieering Al Ain United Arab Emirates United Arab Emirates University Dept. Tourism and Heritage Al Ain United Arab Emirates

ISBN: (纸本)9798350367300

Heritage sites are central to the cultural identity and historical narrative of a community. The Al Qattara Oasis, located in the United Arab Emirates (UAE), illustrates this function well. This study addresses the pressing need to preserve and maintain built heritage by employing modern technological solutions for infrastructure upkeep. Specifically, it focuses on crack detection, a critical aspect of ensuring the structural integrity of heritage buildings. Utilizing data collected from various structures across the UAE, obtained through handheld cameras, the effectiveness of Vision Transformers (ViTs) and Swin Transformers in identifying cracks within Al Qattara is assessed. The research thoroughly evaluates models, with particular attention to different input patch sizes. Through systematic experimentation and analysis over 100 epochs, ViT models with a patch size 16 exhibit significant promise in crack detection. Notably, the ViT-16 model achieves good performance metrics, including training and validation accuracies of 85% and (82%) respectively, and correctly classifies 791 out of 957 cracks and 772 out of 903 non-cracks. In contrast, Swin Transformers show lower validation accuracies (70-74%) and higher misclassification rates. The outcomes underscore the potential of ViT models in enhancing infrastructure maintenance efforts within heritage sites like Qattara Oasis. By combining advanced technology with a profound respect for historical preservation, this study aims to contribute to the sustainable conservation and protection of cultural heritage, ensuring that future generations can continue to appreciate the enduring legacy of sites such as Qattara Oasis. © 2024 IEEE.

关键词： Historic preservation

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Open RAN Slicing with Quantum Optimization

arXiv

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arXiv 2025年

作者： Keyela, Patatchona Cherkaoui, Soumaya Computer Engineering and Software Engineering Dept. Polytechnique Montreal Montreal Canada

RAN slicing technology is a key aspect of the Open RAN paradigm, allowing simultaneous and independent provision of various services such as ultra-reliable low-latency communications (URLLC), enhanced mobile broadband (eMBB), and massive machine-type communications (mMTC) through virtual networks that share a single radio access infrastructure. Efficient resource allocation is crucial for RAN slicing, as each service has specific quality of service (QoS) requirements, and a balance between different services must be maintained. Although heuristic and reinforcement learning (RL) techniques have been explored to achieve efficient resource allocation, these approaches face notable limitations: heuristic algorithms face complexity issues that limit their effectiveness in large networks, RL solutions are constrained by their dependency on training data and struggle to adapt to new scenarios and environments. This paper proposes a framework that leverages quantum optimization techniques to optimize radio resource blocks allocation in Open RAN slicing for URLLC and eMBB services. We provide a classical problem formulation and the quantum implementation using the constrained quadratic model on Dwave quantum annealing platform, showcasing the potential of quantum optimization techniques to deliver in real-time optimal solutions for optimization problems in 5G and beyond networks. © 2025, CC BY.

关键词： Constrained optimization

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Analyzing Closed-loop Control Methods in Domino Resonant Inductive Wireless Power Transfer System

Analyzing Closed-loop Control Methods in Domino Resonant Ind...

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2023 IEEE International Conference on Environment and Electrical engineering and 2023 IEEE Industrial and Commercial Power systems Europe, EEEIC / I and CPS Europe 2023

作者： Sarsembayev, Bayandy Heidari Yazdi, Seyed Saeid Shafiei, Sadjad Kermani, Mostafa Saukhimov, Almaz Bagheri, Mehdi Nazarbayev University Dept. of Electrical and Computer Engineering Astana Kazakhstan Sapienza University of Rome Dept. of Electrical Engineering Rome Italy University of Power Engineering and Telecommunications Dept. of Electrical Systems and Networks Almaty Almaty Kazakhstan

ISBN: (纸本)9798350347432

This study analyzes the closed-loop control strategy for the domino resonant inductive power transfer (DR-IPT) system (modulation of DC-link voltage, phase shift, and switching frequency) for wireless battery charging. A high-voltage AC line (HVAC) is supposed to provide the initial AC voltage for the power converter. Three closed-loop control scenarios are used and the performance of the DR-IPT is examined. The frequency and phase shift controls are applied directly to the full-bridge inverter via the PWM technique, and the DC-link voltage control is employed with the buck-boost converter. This study shows that PI controllers are appropriate to achieve the desired system performance to charge a LiPo battery. Also, the simulation results reveal that the charging process can be effectively regulated using controllers;however, among different approaches, the phase shift control method might be considered the most suitable approach for charging the LiPo battery and avoiding bifurcation and increasing the cost of the RD-IPT system. © 2023 IEEE.

关键词： Energy transfer

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Open RAN Slicing with Quantum Optimization

Open RAN Slicing with Quantum Optimization

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International Global Information Infrastructure Symposium (GIIS)

作者： Patatchona Keyela Soumaya Cherkaoui Computer Engineering and Software Engineering Dept. Polytechnique Montreal Montreal Canada

ISBN: (数字)9798331520113

ISBN: (纸本)9798331520120

关键词： Annealing Training data Open RAN Quality of service Reinforcement learning Ultra reliable low latency communication Quantum annealing Resource management Optimization Faces

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A New Compensation Topology For Inductive Power Transfer (IPT) systems 49

A New Compensation Topology For Inductive Power Transfer (IP...

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49th Annual Conference of the IEEE Industrial Electronics Society, IECON 2023

作者： Huang, You-Chun Madawala, Udaya Baguley, Craig A. Hsieh, Yao-Ching National Sun Yat-sen University Dept. of Electrical Engineering Kaohsiung Taiwan University of Auckland Dept. of Electrical Computer and Software Engineering Auckland New Zealand Auckland University of Technology Dept. of Electrical and Electronic Engineering Auckland New Zealand

ISBN: (纸本)9798350331820

This paper presents a new IPT compensation topology that can be operated at two different frequencies to form either primary series and secondary parallel (S-P) or primary parallel and secondary parallel (P-P) compensation. Model are presented to demonstrate how this transformation between S-P and P-P compensations with dual frequency control. The simulated results of a 1 kW IPT system have verified that the proposed system can remain output power with phase-shift modulation (PSM) and allows for efficient power transfer despite large pad misalignments by operating at different compensation. © 2023 IEEE.

关键词： Energy transfer

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Cloud Video System Availability Assessment Using Markov and Semi-Markov Models 16

Cloud Video System Availability Assessment Using Markov and ...

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16th IEEE International Conference on Advanced Trends in Radioelectronics, Telecommunications and computer engineering, TCSET 2022

作者： Ivanchenko, Oleg Kharchenko, Vyacheslav Udovyk, Iryna Ponochovnyi, Yuriy Dnipro University of Technology Dept. of Computer Systems and Software Dnipro Ukraine National Aerospace University Dept. of Computer Systems Networks and Cybersecurity Kharkiv Aviation Institute Kharkiv Ukraine Dept. of Information Systems and Technologies Poltava Ukraine

ISBN: (纸本)9781665468619

Comparative analysis of Markovian and Semi-Markovian modelling for cloud video system availability is performed considering its architecture and dependability characteristics of various components. Initial data for modelling is based on review of research and operation data of cloud systems. The results of modelling provide decision making related to choice of technique of modelling and availability assessment. Besides, they contributes to ensuring the high availability of cloud systems and can be used by developers in order to address the issues into DevOps engineering area. © 2022 IEEE.

关键词： Availability

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