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Securing Healthcare Data in IoMT Network Using Enhanced Chaos Based Substitution and Diffusion

computer Systems Science & engineering 2023年第11期47卷 2361-2380页

作者： Musheer Ahmad Reem Ibrahim Alkanhel Naglaa FSoliman Abeer D.Algarni Fathi E.Abd El-Samie Walid El-Shafai Department of Computer Engineering Jamia Millia IslamiaNew Delhi110025India Department of Information Technology College of Computer and Information SciencesPrincess Nourah bint Abdulrahman UniversityP.O.Box 84428Riyadh11671Saudi Arabia Department of Electronics and Electrical Communications Engineering Faculty of Electronic EngineeringMenoufia UniversityMenouf32952Egypt Security Engineering Laboratory Department of Computer SciencePrince Sultan UniversityRiyadh11586Saudi Arabia

Patient privacy and data protection have been crucial concerns in Ehealthcare systems for many *** modern-day applications,patient data usually holds clinical imagery,records,and other medical ***,the Internet of Medical Things(IoMT),equipped with cloud computing,has come out to be a beneficial paradigm in the healthcare ***,the openness of networks and systems leads to security threats and illegal ***,reliable,fast,and robust security methods need to be developed to ensure the safe exchange of healthcare data generated from various image sensing and other IoMT-driven devices in the IoMT *** paper presents an image protection scheme for healthcare applications to protect patients’medical image data exchanged in IoMT *** proposed security scheme depends on an enhanced 2D discrete chaotic map and allows dynamic substitution based on an optimized highly-nonlinear S-box and diffusion to gain an excellent security *** optimized S-box has an excellent nonlinearity score of *** new image protection scheme is efficient enough to exhibit correlation values less than 0.0022,entropy values higher than 7.999,and NPCR values around 99.6%.To reveal the efficacy of the scheme,several comparison studies are *** comparison studies reveal that the novel protection scheme is robust,efficient,and capable of securing healthcare imagery in IoMT systems.

关键词： Secure communication healthcare data encryption Internet of Medical Things(IoMT) discrete chaotic map substitution box(S-box)

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Tunable X-band opto-electronic synthesizer for low noise microwave generation

Tunable X-band opto-electronic synthesizer for low noise mic...

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2024 Conference on Lasers and Electro-Optics, CLEO 2024

作者： Kudelin, Igor Shirmohammadi, Pedram Groman, William Hanifi, Samin Kelleher, Megan Lee, Dahyeon Nakamura, Takuma McLemore, Charles Bowers, Steven Quinlan, Franklyn Diddams, Scott Time and Frequency Division National Institute of Standards and Technology BoulderCO80305 United States Department of Physics University of Colorado BoulderCO80309 United States Department of Electrical and Computer Engineering University of Virginia CharlottesvilleVA22904 United States Electrical Computer and Energy Enginering University of Colorado BoulderCO80309 United States

An opto-electronic synthesizer is presented with phase noise at 10 kHz offset of -152 dBc/Hz, -146 dBc/Hz, and -140 dBc/Hz in the frequency range of 10±0.5 GHz, 10±1 GHz, and 10±2 GHz, respectively. CLE... 详细信息

ISBN: (纸本)9781957171395

关键词： Frequency synthesizers

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Revolutionizing Dota 2 Viewing: Automated Battle Highlights in Esports Videos 12

Revolutionizing Dota 2 Viewing: Automated Battle Highlights ...

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12th International electrical engineering Congress, iEECON 2024

作者： Arthayukti, Chananate Malathong, Kritthanit Konpang, Jessada Sirikham, Adisorn Musika, Chanwit Thitimahatthanakusol, Phatsakul Rajamangala University Of Technology Krungthep Faculty Of Science And Technology Department Of Computer Science 2 Nanglingee Rd. Sathorn Thungmahamek Bangkok10120 Thailand Rajamangala University Of Technology Krungthep Faculty Of Engineering Department Of Electrical And Telecommunication Engineering 2 Nanglingee Rd. Sathorn Thungmahamek Bangkok10120 Thailand Rajamangala University Of Technology Isan Faculty Of Engineering And Technology Department Of Telecommunication Engineering 744 Sura Narai Rd Mueang Nakhon Ratchasima Nakorn Ratchasima Nai Mueang30000 Thailand

ISBN: (纸本)9798350383591

This research outlines a structured process for automatically generating video highlights from Dota 2, a multiplayer online battle arena (MOBA) game. Dota 2's dynamic battles make determining their duration challenging, often requiring manual intervention. However, the game's API provides developers access to critical in-game information, particularly player deaths, which serve as key indicators of battles. The process unfolds in six steps: capturing competition videos, extracting match details, refining the data to account for in-game time variations and game start times, automatic video trimming with attention to overlap resolution, consolidation of video segments, and, finally, the publication of the highlight video. This approach ensures engaging and concise highlight videos, enhancing the viewer experience. © 2024 IEEE.

关键词： Trimming

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An Adapter for Interactive Object Retrieval on the Shelf 14

An Adapter for Interactive Object Retrieval on the Shelf

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14th IEEE International Conference on Cyber technology in Automation, Control, and Intelligent Systems, CYBER 2024

作者： Li, Hang You, Peixing Wang, Guokang Fang, Bin Yin, Jianqin Liu, Huaping Guo, Di School of Artificial Intelligence Beijing University of Posts and Telecommunications Beijing China Tsinghua University Department of Computer Science and Technology Beijing China School of Electrical and Information Engineering Zhengzhou University Zhengzhou China

ISBN: (纸本)9798331506056

The storage space on the shelf is usually limited and items are stacked next to each other, which brings great challenges for the robot to retrieve a target object from the shelf. In this paper, we propose an adapter for interactive object retrieval on the shelf. The proposed adapter is able to adapt to any suitable visual segmentation methods to identify the target object to be grasped, and a push-grasp interactive strategy is designed in the adapter, which can be integrated with any off-the-shelf grasp planning methods. With the interactive module, the robot learns to interact with the environment until the target object is graspable. Extensive experiments both in the simulation and physical environments are conducted demonstrating the effectiveness of the proposed adapter. Additionally, a shelf object retrieval dataset in the simulation environment is established. © 2024 IEEE.

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Using Machine Learning Tools to Analyze Large Real-Time Data Sets 1

Using Machine Learning Tools to Analyze Large Real-Time Data...

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1st IEEE International Conference on Emerging Research in Computational Science, ICERCS 2023

作者： Hannah Jessie Rani, R. Yadav, Rakesh Kumar Garg, Avni Gayathri, C. Gaikwad, Vidya S. Vishnoi, Manish Faculty of Engineering and Technology Department of Electrical and Electronics Engineering Karnataka Bangalore India Maharishi University of Information Technology Maharishi School of Engineering and Technology Uttar Pradesh India Chitkara University Institute of Engineering and Technology Chitkara University Centre of Interdisciplinary Research in Business and Technology Punjab India Prince Shri Venkateshwara Padmavathy Engineering College Department of Science and Humanities Chennai127 India Vishwakarma Institute of Information Technology Department of Computer Engineering Pune India Vivekananda Global University Department of Electronics and Department of Civil Engineering Jaipur India

ISBN: (纸本)9798350359756

Using engine getting-to-know-the-gear to investigate big real-time statistics sets has become increasingly commonplace because of its efficiency, scalability, and advanced abilities. Devices getting to know equipment permit for speedy facts evaluation and sample reputation, allowing quicker and more accurate decision making. This gear may make actual-time data sets more beneficial via detecting traits, figuring out correlations, and developing models for predictive analysis. Moreover, machine mastering can personalize products and services to fulfill consumer desires. By utilizing the system and gaining knowledge of algorithms, groups can better understand user behavior and preferences, leading to extra valuable product and provider offerings. Ultimately, the use of system getting-to-know equipment to release real-time facts helps corporations to make greater informed selections and deliver higher consumer studies. © 2023 IEEE.

关键词： Decision making

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MetaFAP: Meta-Learning for Frequency Agnostic Prediction of Metasurface Properties

arXiv

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arXiv 2025年

作者： Murshed, Rafid Umayer Rafi, Md. Shoaib Akhter Reza, Sakib Saquib, Mohammad Mahbub, Ifana Department of Electrical and Computer Engineering The University of Texas at Dallas RichardsonTX United States Department of Electrical and Electronic Engineering Bangladesh University of Engineering and Technology Dhaka Bangladesh

Metasurfaces, and in particular reconfigurable intelligent surfaces (RIS), are revolutionizing wireless communications by dynamically controlling electromagnetic waves. Recent wireless communication advancements necessitate broadband and multi-band RIS, capable of supporting dynamic spectrum access and carrier aggregation from sub-6 GHz to mmWave and THz bands. The inherent frequency dependence of meta-atom resonances degrades performance as operating conditions change, making real-time, frequency-agnostic metasurface property prediction crucial for practical deployment. Yet, accurately predicting metasurface behavior across different frequencies remains challenging. Traditional simulations struggle with complexity, while standard deep learning models often overfit or generalize poorly. To address this, we introduce MetaFAP (Meta-Learning for Frequency-Agnostic Prediction), a novel framework built on the meta-learning paradigm for predicting metasurface properties. By training on diverse frequency tasks, MetaFAP learns broadly applicable patterns. This allows it to adapt quickly to new spectral conditions with minimal data, solving key limitations of existing methods. Experimental evaluations demonstrate that MetaFAP reduces prediction errors by an order of magnitude in MSE and MAE while maintaining high Pearson correlations. Remarkably, it achieves inference in less than a millisecond, bypassing the computational bottlenecks of traditional simulations, which take minutes per unit cell and scale poorly with array size. These improvements enable real-time RIS optimization in dynamic environments and support scalable, frequency-agnostic designs. MetaFAP thus bridges the gap between intelligent electromagnetic systems and practical deployment, offering a critical tool for next-generation wireless networks. © 2025, CC BY.

关键词： Deep learning

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INTERPRETABLE AUTOMATED LEARNING: EVOLVING FUZZY NETWORKS TO EXPLICIT APPLICATIONS OF AI

INTERPRETABLE AUTOMATED LEARNING: EVOLVING FUZZY NETWORKS TO...

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2024 International Conference on Sustainable Computing and Integrated Communication in Changing Landscape of AI, ICSCAI 2024

作者： Rathi, Vikas Vijayalakshmi, V.J. Mahesh, Bhandari Ninoria, Shalini Gupta, Ankur Kumar Premananthan, G. Department of Computer Science & Engineering Graphic Era Deemed to be University Uttarakhand Dehradun248002 India Department of Electrical And Electronics Engineering Karpagam Academy of Higher Education Coimbatore641021 India Vishwakarma Institute of Information Technology Pune India CCSIT TMU India School of Computer Science and Applications IIMT University Meerut India Department of Electronics and Communication Engineering Karpagam College of Engineering Coimbatore6410 India

ISBN: (纸本)9798350355338

One of the biggest developments in intelligent machines has been the development of evolving fuzzification. They are flexible system designs created using evolving methods. Fluid simulation now has excellent capabilities to use in a variety of data scientific situations as a result of this combination. The goal with this addition is to create a policy document that provides a thorough study of the evolving hazy ecosystems field of study. In order to comprehend the present setting of this subject and its importance, queries are asked and answered with some of this goal in mind. It will be made clear why evolving neural nets are significant from an explicable perspective, even before they started, how much they are utilized for, and where scholars should devote themselves in this field going forward. People must really be crucial to the developing field of data-driven schooling. © 2024 IEEE.

关键词： Adversarial machine learning

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Spatial Variability Learning of Biomechanical Dynamics in Daily Lives

Spatial Variability Learning of Biomechanical Dynamics in Da...

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IEEE Annual Computing and Communication Workshop and Conference (CCWC)

作者： Ming Liu Qingxue Zhang Department of Electrical and Computer Engineering Purdue School of Engineering and Technology Indianapolis IN USA Department of Biomedical Engineering Purdue School of Engineering and Technology Indianapolis IN USA

With the rapid development of modern electronics and computation capability, biomechanical mining is attracting more and more attention. Due to the complexity and inter-person variance among the biomechanical dynamics, it is important to study the spatial variability to not only optimize the activity recognition performance but also deepen the understanding of inter-sensor-location and inter-subject differences. We here propose a system with both wearable motion sensing and deep learning, for comprehensive biomechanical dynamics understanding. More specifically, the system allows collection of motion data from diverse body locations. Further, the deep learning algorithm then learns the signals and yields the physical activity types. The experiments have promisingly indicated the spatial variability of biomechanical dynamics capturing and analysis. This study will benefit the understanding of biomechanical dynamics.

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Cloud Computing Based POC Diagnostic Device: Rapid Infectious Disease Testing by Data Analytics 1

Cloud Computing Based POC Diagnostic Device: Rapid Infectiou...

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1st International Conference on Artificial Intelligence for Innovations in Healthcare Industries, ICAIIHI 2023

作者： Basha, H. Anwer Ramalingam, L. Hasan, Md Ashfaqul Ananda, M.H. Velmurugan, S. Maniraj, S.P. Saveetha College of Liberal Arts & Sciences Simats University Department of Computer Science Tamil Nadu Chennai India Loyola Institute of Technology Department of Artificial Intelligence and Data Science Tamil Nadu Chennai India Malla Reddy Institute of Engineering and Technology Department of Computer Science and Engineering Telangana Hyderabad India Reva University School of Electrical and Electronics Engineering Karnataka Bangalore India Tjs Engineering College Department of Electronics and Communication Engineering Tamil Nadu Chennai India Srm Institute of Science and Technology Department of Computer Science and Engineering Tamil Nadu Chennai India

ISBN: (纸本)9798350330915

To meet the growing need for affordable, efficient, and accurate diagnostic tools, the system has developed a Raspberry Pi-based Point-of-Care (POC) gadget for speedy and reliable detection of infectious illnesses. This groundbreaking gadget, built on the flexible and powerful Raspberry Pi computer, ushers in a new era of state-of-the-art POC diagnostics by combining molecular and image analysis methods. Complex testing for pathogens like COVID-19 and malaria may be carried out using this state-of-the-art system, which integrates a camera module and custom biosensors. The device's software parses sensor data, improves diagnostic precision using machine learning techniques, and presents a straightforward interface for clinicians and patients alike. This study takes a holistic approach by considering all relevant factors, including adherence to regulations, user education, upkeep, and data management. Our POC diagnostic gadget driven by a Raspberry Pi provides a low-cost, high-throughput method for diagnosing illness, which may have far-reaching implications for the future of healthcare delivery in both under-resourced and well-endowed regions. © 2023 IEEE.

关键词： Healthcare Infectious Disease Internet of Things, Cloud Computing Point-of-Care Diagnostics

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Electrochemical Carbon Dioxide Reduction to Ethylene:From Mechanistic Understanding to Catalyst Surface engineering

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Nano-Micro Letters 2023年第10期15卷 382-415页

作者： Junpeng Qu Xianjun Cao Li Gao Jiayi Li Lu Li Yuhan Xie Yufei Zhao Jinqiang Zhang Minghong Wu Hao Liu Joint International Laboratory on Environmental and Energy Frontier Materials School of Environmental and Chemical EngineeringShanghai UniversityShanghai 200444People’s Republic of China Centre for Clean Energy Technology Faculty of ScienceUniversity of Technology SydneyBroadwaySydneyNSW 2007Australia Department of Electrical and Computer Engineering University of Toronto35 St George StreetTorontoON M5S 1A4Canada

Electrochemical carbon dioxide reduction reaction(CO_(2)RR)provides a promising way to convert CO_(2)to *** multicarbon(C_(2+))products,especially ethylene,are of great interest due to their versatile industrial ***,selectively reducing CO_(2)to ethylene is still challenging as the additional energy required for the C–C coupling step results in large overpotential and many competing ***,mechanistic understanding of the key steps and preferred reaction pathways/conditions,as well as rational design of novel catalysts for ethylene production have been regarded as promising approaches to achieving the highly efficient and selective CO_(2)*** this review,we first illustrate the key steps for CO_(2)RR to ethylene(e.g.,CO_(2)adsorption/activation,formation of~*CO intermediate,C–C coupling step),offering mechanistic understanding of CO_(2)RR conversion to *** the alternative reaction pathways and conditions for the formation of ethylene and competitive products(C_1 and other C_(2+)products)are investigated,guiding the further design and development of preferred conditions for ethylene *** strategies of Cu-based catalysts for CO_(2)RR-ethylene are further summarized,and the correlations of reaction mechanism/pathways,engineering strategies and selectivity are ***,major challenges and perspectives in the research area of CO_(2)RR are proposed for future development and practical applications.

关键词： Key steps in CO_(2)RR-ethylene Preferable reaction pathways Mechanism understanding Surface engineering strategies of Cu-based catalysts

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