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Blockchain and Distributed Systems Security (ICBDS), IEEE International Conference on

作者： Arjun Rajasekharan Rani Koshy Dept. of Computer Science and Engineering College of Engineering Trivandrum Thiruvananthapuram Kerala India Department of Computer Science and Engineering College of Engineering Trivandrum Thiruvananthapuram Kerala India

ISBN: (数字)9798350354348

ISBN: (纸本)9798350354355

Electronic Medical Records (EMRs) are traditionally managed by central authorities, posing significant security risks such as data breaches, limited interoperability, and restricted patient control. This system leverages blockchain technology to address these issues, ensuring data remains immutable, transparent, and highly secure. Utilizing the Ethereum network and IPFS technology, our system provides a decentralized framework for storing and sharing medical records. Healthcare professionals, patients, and authorized parties can seamlessly exchange and access records through Ethereum’s decentralized structure and smart contracts, enabling automated and auditable interactions. To enhance confidentiality, all data uploaded to IPFS undergoes AES 256-bit encryption, with the encrypted Content Identifier (CID) stored on the blockchain. This ensures that intercepted CIDs cannot be accessed without the decryption key. IPFS technology facilitates decentralized storage and retrieval, eliminating the need for a centralized server and improving scalability and resilience. Patients retain full control over their health information, granting or revoking access as necessary. This system ensures secure patient identification, precise access management, and data confidentiality while allowing authorized parties to track and trace record access and modifications. Our blockchain-based EMR management system addresses the inherent risks of traditional centralized systems by providing a secure, transparent, and decentralized solution. By leveraging Ethereum and IPFS, it enhances data security, patient control, and interoperability, thus paving the way for more robust and patient-centric healthcare information management. This approach ensures that healthcare data remains secure, patients maintain control over their information, and authorized parties can effectively manage and access the records.

关键词： Data privacy Scalability Smart contracts Process control Blockchains InterPlanetary File System Servers Electronic medical records Interoperability Resilience

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A Game Theoretic Approach to Enhance DCF Performance in Full Duplex Ad-hoc WLANs

A Game Theoretic Approach to Enhance DCF Performance in Full...

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International Conference on Modern Circuits and Systems Technologies (MOCAST)

作者： Anastasios C. Politis Hristos T. Anastassiu Constantinos S. Hilas Dept. of Computer Informatics and Telecommunications Engineering International Hellenic University Serres Greece

Physical Full Duplex (FD) operation in WLANs is a promising technology aiming at substituting the traditional Half Duplex (HD) functionality. An increased performance is expected which, theoretically, can be expressed as a double increase in system throughput. However, due to the initial design of the basic access method in WLANs, known as Distributed Coordination Function (DCF), this performance boost is poorly exhibited. Game theory is an invaluable tool to model the performance of Medium Access Control (MAC) protocols used in WLANs. In this paper, we exploit game theory to propose a simple enhancement to the DCF access method, in order to increase the benefit received when the FD capability is enabled in ad-hoc WLANs.

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Optimization of New Radio Physical Uplink Shared Channel Resources Allocation with Efficient Demodulated Referenced Signals and PT-RE Deployment

Optimization of New Radio Physical Uplink Shared Channel Res...

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Electrical Electronics and Computing Technologies (ICEECT), International Conference on

作者： Deepak Upadhyay Mridul Gupta Kunj Bihari Sharma Abhay Upadhyay Satya Prakash Yadav Dept. of Computer Science and Engineering Graphic Era Hill University Dehradun India Dept. of Electronics and Communication Engineering Graphic Era Deemed to be University Dehradun India Dept. of Computer Science and Engineering Graphic Era Deemed to be University Dehradun India School of Computer Science Engineering and Technology Bennett University Greater Noida India

ISBN: (数字)9798350378092

ISBN: (纸本)9798350378108

This paper explores the resource allocation optimisation of New Radio Physical Uplink Shared Channels with an emphasis on the effective implementation of Phase Tracking Reference Signals and Demodulation Reference Signals in 5G networks. Understanding how important these reference signals are to dependable communication, we created a Python framework to model and display their distribution on a time-frequency grid. By carefully modifying important factors including mapping type, PRB allocation, and symbol allocation, our method greatly increased resource efficiency, decreased overhead, and improved signal quality. The results show how sophisticated resource allocation techniques may be used to maximise system performance, providing important information for the creation of more reliable and effective 5G NR communication systems

关键词： Wireless communication Time-frequency analysis System performance Symbols New Radio Resource management Reliability Uplink Optimization Demodulation

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To Split or not to Split? A Simulation Study on the Network Convergence Duration of Multi-Area OSPF

To Split or not to Split? A Simulation Study on the Network ...

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International Conference on Telecommunications and Signal Processing (TSP)

作者： Theofilos Sachinidis Anastasios C. Politis Constantinos S. Hilas Dept. of Computer Informatics and Telecommunications Engineering International Hellenic University Serres Greece

Internetworks with a large number of routing devices that utilise the Open Shortest Path First (OSPF) routing protocol, benefit greatly if they are designed in a hierarchical manner. The multi-area feature of OSPF leads to reduced network overhead, low processing and memory requirements and smaller routing tables. This, however, comes at the cost of increased configuration complexity, especially at the Area Border Routers. The threshold after which splitting the OSPF domain into multiple areas, is an ongoing debate among network administrators. A well known rule-of-thumb is recommended by large vendors of networking devices setting that threshold to 50 routing devices. The objective of this preliminary work is to investigate that threshold by conducting a simulation-based study using the OPNET network simulation tool. To assess the network performance, we select the network convergence duration as the quantitative Key Performance Indicator (KPI) of our study. Results indicate that the above mentioned threshold does not appear to be appropriate and a revision of that empirical rule should be considered.

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Solving Partial Dominating Set and Related Problems Using Twin-Width

arXiv

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arXiv 2025年

作者： Balabán, Jakub Mock, Daniel Rossmanith, Peter Faculty of Informatics Masaryk University Brno Czech Republic Dept. of Computer Science RWTH Aachen University Aachen Germany

Partial vertex cover and partial dominating set are two well-investigated optimization problems. While they are W[1]-hard on general graphs, they have been shown to be fixed-parameter tractable on many sparse graph classes, including nowhere-dense classes. In this paper, we demonstrate that these problems are also fixed-parameter tractable with respect to the twin-width of a graph. Indeed, we establish a more general result: every graph property that can be expressed by a logical formula of the form ≡ ∃x1 . . . ∃xk#y ψ(x1, . . ., xk, y) ≥ t, where ψ is a quantifier-free formula, t is an arbitrary number, and #y is a counting quantifier, can be evaluated in time f(d, k)n, where n is the number of vertices and d is the width of a contraction sequence that is part of the input. Notably, this includes problems such as connected partial dominating set and independent partial dominating set. © 2025, CC BY.

关键词： Set theory

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3D Printed Conformal MIMO Antenna with Ladder Shaped Isolating Structure for Wireless Applications

3D Printed Conformal MIMO Antenna with Ladder Shaped Isolati...

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2023 IEEE Microwaves, Antennas, and Propagation Conference, MAPCON 2023

作者： Kulkarni, Jayshri Patel, Upesh Upadhyaya, Trushit Anguera, Jaume Garner, Brian Li, Yang Baylor University School of Engineering and Computer Science Waco United States Charotar University of Science and Technology Gujarat India Unversitat Ramon Llull Dept. of Electronics and Telecommunication Barcelona Spain

ISBN: (纸本)9798350328264

A 3D printed conformal Multiple Input Multiple Output (MIMO) antenna is proposed for 5G sub-6GHz and Wi-Fi 6E applications. The antenna is printed on a Ninjaflex substrate and consists of two identical radiators. An innovative 3D ladder-shaped structure is used as an isolating element between the radiators to reduce mutual coupling. The identical radiators have a fan-shaped structure engraved with a circular ring to operate in a dual band at a resonance of 3.35 and 6.6GHz. The overall footprint of the 3D printed MIMO antenna is only 45 × 25 mm2 and conforms to a -10dB impedance bandwidth of 40.54% (2.95-4.45 GHz) in the lower 5G sub-6GHz frequency band and 18.32% (5.95-7.15 GHz) in the upper Wi-Fi 6E frequency band. The 3D printed MIMO antenna demonstrates excellent radiation characteristics with a gain of more than 2dBi and efficiency of more than 95% in both the dual bands. The antenna's flexibility was also tested by bending it along the X and Y-axis at a radius of 30mm with successful results. © 2023 IEEE.

关键词： 3D 5G MIMO NinjaFlex Wi-Fi 6E

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Leveraging Smart Video-Based Learning to Enhance Student Engagement and Collaboration 6

Leveraging Smart Video-Based Learning to Enhance Student Eng...

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6th International Conference on Advancements in Computing, ICAC 2024

作者： Serasinghe, Chanukya Perera, Nashali Samarasinghe, Devindu Muthusinghe, Madusha Wijesundara, Malitha Sri Lanka Institute of Information Technology Dept. of Computer Science and Software Engineering Malabe Sri Lanka Sri Lanka Institute of Information Technology Faculty of Humanities and Sciences Malabe Sri Lanka

ISBN: (纸本)9798331517878

The COVID-19 pandemic has expedited the shift in education to online learning, which has exposed shortcomings in virtual learning environments' personalization and engagement. This research addresses these issues by developing a web application designed to enhance student engagement and learning efficiency. The system has gamified collaboration features, video chapter segmentation, and personalized video recommendation system. The methodology comprises models for generating chapter titles and for precise video transcription, and machine learning algorithms for tailored suggestions depending on user input. Interactive Questions and Answers modules and real-time synchronized video playback are included. The results demonstrate how the system's personalized content, interactive tests, and teamwork tools increase user engagement and comprehension. The efficacy of personalized material and real-time synchronization in enhancing learning results is discussed. This innovative approach offers a comprehensive solution to the challenges of online education, creating a more immersive and interactive learning experience. © 2024 IEEE.

关键词： Federated learning

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RFID Thermal Monitoring Sheet (R-TMS) for Skin Temperature Measurements during Superficial Microwave Hyperthermia Treatment 7

RFID Thermal Monitoring Sheet (R-TMS) for Skin Temperature M...

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7th International Conference on Smart and Sustainable Technologies, SpliTech 2022

作者： Lestini, Francesco Panunzio, Nicoletta Marrocco, Gaetano Occhiuzzi, Cecilia University of Rome Tor Vergata Pervasive Electromagnetics Lab Civil Engineering and Computer Science Engineering Dept. Rome Italy

ISBN: (纸本)9789532901160

Hyperthermia is a widely used anti-cancer treatment that exploits the interactions between high-power electromagnetic fields and the human tissues to locally release a great amount of power in the underlying tissue regions. The electromagnetic source is generally outside the body, in close proximity to the skin. Thus, dangerous hotspots may occur within the skin, and hence continuous monitoring of the superficial temperature distribution is required throughout the treatment. Current Thermal Monitoring Sheets (TMSs), that are grids of many temperature sensors, have some limitations in terms of poor spatial resolution and high thermal conduction errors. Passive Ultra High Frequency (UHF) Radio Frequency IDentification (RFID) devices could offer an attractive alternative thanks to their wireless nature, low-invasiveness, and demonstrated good on-skin performance, especially for temperature monitoring. The preliminary design of an RFID-based Thermal Monitoring Sheet (R-TMS) is presented in this paper as a planar array of circular loop antennas with temperature-sensing-oriented RFID ICs. Both sensing and electromagnetic requirements of the R-TMS are addressed by means of numerical simulations. It proved capable of transmitting the collected temperature data with a remarkable spatial resolution, yet without interfering with the effectiveness of the hyperthermia treatment nor inducing unwanted hotspots over the skin. © 2022 University of Split, FESB.

关键词： Frequency selective surfaces

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Image Representation of Numerical Data-points for Classification Using Convolutional Neural Network 4

Image Representation of Numerical Data-points for Classifica...

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4th International Conference on Computing and Communication Systems, I3CS 2023

作者： Deka, Rup Kumar Kalita, Kausthav Pratim Chettri, Sarat Kumar Assam Don Bosco University Dept. of Computer Science and Engineering Assam Guwahati-17 India Assam Don Bosco University DDept. of Computer Applications Assam Guwahati-17 India

ISBN: (纸本)9798350323771

Higher dimensional data is a problem for classification. Researchers put forward various approaches like dimension reduction, ranking features for an optimal set, different feature extraction techniques, etc. for classification. In the current context of categorization, CNN (Convolution Neural Network) is a powerful tool, which classifies the data based on images as input. In this work, we have demonstrated a method to represent individual samples in an image, irrespective of dimension, and used CNN for classification. Further, to preserve data privacy, the images are flipped randomly (horizontal and vertical flips) for classification using CNN. The outcomes of both approaches are compared with related techniques and have shown promising results. © 2023 IEEE.

关键词： Classification (of information)

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An Efficient Analysis of Various Deep learning Model in Brain tumor Detection with MRI

An Efficient Analysis of Various Deep learning Model in Brai...

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Communication, Computing and Energy Efficient Technologies (I3CEET), International Conference on

作者： Deepak Upadhyay Kunj Bihari Sharma Mridul Gupta Abhay Upadhyay Satya Prakash Yadav Dept. of Computer Science and Engineering Graphic Era Hill University Dehradun India Dept. of Computer Science and Engineering Graphic Era Deemed to be University Dehradun India Dept. of Electronics and Communication Engineering Graphic Era Deemed to be University Dehradun India School of Computer Science Engineering and Technology Bennett University Greater Noida India

ISBN: (数字)9798331541583

ISBN: (纸本)9798331541590

This paper compares three of the popular deep learning models being VGG-16, VGG-19 and ResNet50 with respect to how they perform in the classification task. We investigate how much each model learns, the reduction of errors and inferences from data over epochs, through an in-dept. analysis of training and testing phases. The authors concluded that all the models perform efficiently; however, from the study results of performance and accuracy, VGG-19 and ResNet50 have a high-performance scale as well as super accuracy in their deep learning model which encourages business for application towards complex pattern recognition or predictive modelling. These results provide important intuitions on what deep learning architectures can do, and pave the path for further works in this area, b

关键词： Deep learning Training Analytical models Accuracy Computational modeling Predictive models Brain modeling Data models Residual neural networks Testing

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