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Revolutionizing WBAN Networks: A Novel Encoding Method for Robust Transmission Integrity in Noisy Environments 6

Revolutionizing WBAN Networks: A Novel Encoding Method for R...

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6th international conference on Intelligent systems and Computer Vision, ISCV 2024

作者： Bekkour, Mostapha Alaoui, Nabih Saban, Mohamed Chaari, Mohamed Zied Ruiz Alzola, Juan Aghzout, Otman ENSA-Tetouan Abdelmalek Essaadi University Dept. of Digitalization and Artificial Intelligence Tetouan Morocco TicLab International University of Rabat Faculty of Computing and Logistics Sala El Jadida Morocco ETSE School of Engineering Dept. Electronic Engineering Burjassot Spain Fabrication Lab Dept. Qatar Scientific Club Doha Qatar University of Las Palmas de Gran Canaria Dept. Electronic Engineering Las Palmas Spain ENSA-Tetouan University of Abdelmalek Essaadi Dept. of Digitalization and Artificial Intelligence Tetouan Morocco

ISBN: (纸本)9798350350180

Wireless Body Area Networks (WBANs) are an innovative technology that has been widely adopted in the healthcare field to continuously monitor a patient's vital signs and other health data. these networks consist of multiple sensors and active relays that transmit data in real-time to a monitoring unit via wireless communication. However, the inherent noise present in the WBAN environment, due to factors such as the anatomy of the human body and patient movement, can compromise the integrity of the transmission. To tackle this problem, this paper introduces a new network coding approach termed Horizontal Correction Vertical Correction (HCVC). HCVC is designed to improve the integrity of transmission in WBANs and overcome the noisy nature of the environment by using a second layer of encoding provided by a relaying architecture. this creates a solid structure of redundant data, which helps to overcome the noise in the WBAN network. the performance of HCVC was evaluated through simulation for both large and small networks, and the results showed very good performance using the minimum number of nodes. © 2024 IEEE.

关键词： Encoding (symbols)

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Efficient Particle Tracing for Scalable Kinetic Plasma Simulation Analysis 25

Efficient Particle Tracing for Scalable Kinetic Plasma Simul...

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25th IEEE international conference on Cluster computing (CLUSTER)

作者： Tan, Nigel Luedtke, Scott V. Taufer, Michela Albright, Brian Univ Tennessee Knoxville Elect Engn & Comp Sci Knoxville TN 37996 USA Los Alamos Natl Lab Plasma Theory & Applicat XCP6 Los Alamos NM USA Los Alamos Natl Lab XTD PRI Primary Phys Los Alamos NM USA

ISBN: (纸本)9798350370621

VPIC is a multi-purpose plasma physics code extensively used in modeling phenomena such as inertial confinement fusion and laser-plasma instabilities. In past work, we targeted the portability of VPIC across heterogeneous resources while preserving performance by deploying Kokkos as the interface to those resources (VPIC 2.0). In this work, we emphasize the impact of tracing particles for studying the movement of particle subsets in large plasma systems. We augment the VPIC code with our particle tracer, including particle annotations for post-analysis of simulations. We apply optimizations to the augmented code, such as buffering and asynchronous execution, to reduce the I/O load when studying simulation data, allowing high-performance particle analyses. We use our particle tracer for rapid and targeted analysis of plasma composed of electrons and ions accelerated by a short laser pulse.

关键词： Particle-in-cell tracers VPIC performance

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Efficient Cooling System of Cloud Data Center by Reducing Energy Consumption 6th

Efficient Cooling System of Cloud Data Center by Reducing En...

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6th international conference on Intelligent computing and Optimization, ICO 2023

作者： Natasha, Nazia Tabassum Fakir, Imran Falguni, Sabiha Afsana Mim, Faria Tabassum Fahim, Syed Ridwan Ahmed Reza, Ahmed Wasif Arefin, Mohammad Shamsul Department of Computer Science and Engineering East West University Dhaka Bangladesh Department of Computer Science and Engineering Daffodil International University Dhaka Bangladesh Department of Computer Science and Engineering Chittagong University of Engineering and Technology Chattogram Bangladesh

ISBN: (纸本)9783031503290

Cloud computing makes computers a utility and allows scientific, consumer, and corporate applications. this implementation raises energy, CO2, and economic problems. Cloud computing companies are concerned about energy use in cloud data centers. Green Cloud Environments, known as GCE, have provided formulations, solutions, and models to reduce the environmental effect as well as energy consumption under the latest models while considering components for static and dynamic clouds. Our technique models cloud computing data centers. To accomplish this, you must understand trends in cloud energy usage. We analyze energy consumption trends and show that by using appropriate optimization techniques guided by our energy consumption models, cloud data centers may save 20% of energy. Our study is incorporated into cloud computing while monitoring energy usage and helping to optimize on a system level. © 2023, the Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Energy efficiency

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Privacy Protection Scheme for Personal Health Record System Using Blockchain Based on Homomorphic Encryption 6

Privacy Protection Scheme for Personal Health Record System ...

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6th IEEE Eurasian conference on Educational Innovation, ECEI 2023

作者： Lin, Cho-Pu Wu, Zhen-Yu Liu, Chia-Hui Department of International Business Lunghwa University of Science and Technology Taoyuan Taiwan Department of Information Management National Penghu University of Science and Technology Penghu Taiwan Department of Applied Mathematics Chinese Culture University Taipei Taiwan

ISBN: (纸本)9798350334289

With the advancement and popularization of science and technology, much research explores the provision of health care services or health management with the assistance of information technology in addition to traditional clinical diagnosis. Personal Health Records (PHR) are available for personalized health record information in the autonomous management system. the personal health record system is to improve disease management or strengthen personal health management. However, users are concerned about the safety and confidentiality of PHR in healthcare systems. In 2008, the blockchain architecture was proposed by Satoshi as a peer-to-peer network architecture that contains a Distributed Ledger Technology (DLT). In this study, we proposed a blockchain-based PHR system using the homomorphic encryption to improve the privacy and security of the users. It allows a third party to perform operations on the ciphertext which can be retrieved correctly later, while the privacy and security of the nodes on the chain are ensured and provided for multiple users to protect the security of their information. © 2023 IEEE.

关键词： Blockchain

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6th international conference on Man-Machine Interactions, ICMMI 2019

6th International Conference on Man-Machine Interactions, IC...

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6th international conference on Man-Machine Interactions, ICMMI 2019

ISBN: (纸本)9783030319632

the proceedings contain 24 papers. the special focus in this conference is on international conference on Man-Machine Interactions. the topics include: FIT2COMIn – Robust Clustering Algorithm for Incomplete Data;GrFCM – Granular Clustering of Granular Data;evaluation of Cosine Similarity Feature for Named Entity Recognition on Tweets;deep Recurrent Neural Networks for Human Activity Recognition During Skiing;recognition of Tennis Shots Using Convolutional Neural Networks Based on three-Dimensional Data;on Unsupervised and Supervised Discretisation in Mining Stylometric Features;LCR-BLAST—A New Modification of BLAST to Search for Similar Low Complexity Regions in Protein Sequences;risk Susceptibility of Brain Tumor Classification to Adversarial Attacks;prediction of Drug Potency and Latent Relation Analysis in Precision Cancer Treatment;predictions of Age and Mood Based on Changes in Saccades Parameters;VEEP—the System for Motion Tracking in Virtual Reality;using Copula and Quantiles Evolution in Prediction of Multidimensional Distributions for Better Query Selectivity Estimation;Audio-Visual TV Broadcast Signal Segmentation;optimizing Training Data and Hyperparameters of Support Vector Machines Using a Memetic Algorithm;induction of Centre-Based Biclusters in Terms of Boolean Reasoning;issues on Performance of Reactive Programming in the Java Ecosystem with Persistent Data Sources;immersive Virtual Reality for Assisting in Inclusive Architectural Design;spatio-Temporal Filtering for Evoked Potentials Detection;a Review on the Vehicle to Vehicle and Vehicle to Infrastructure Communication;classifying Relation via Piecewise Convolutional Neural Networks with Transfer Learning;ensembles of Active Adaptive Incremental Classifiers;influence of the Applied Outlier Detection Methods on the Quality of Classification.

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Unlocking the Power of First-Party Data: Innovative Geo-contextual Targeting for Advertiser

Unlocking the Power of First-Party Data: Innovative Geo-cont...

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international conference on Business Intelligence and Data Analytics, BIDA 2024

作者： Chauhan, Devanshu Sethi, Dhruv MIQ Digital India 5th & 6th Floor SKAV 909 9/1 Lavelle Road Karnataka Bengaluru560001 India

ISBN: (纸本)9789819777167

the digital advertising landscape is rapidly transforming amidst evolving privacy regulations such as GDPR and CCPA, steering away from reliance on cookies and personally identifiable information (PII) towards privacy-centric approaches. this shift necessitates prioritising first-party data, fostering customer trust, and empowering users. However, leveraging first-party data for effective campaigns remains a challenge due to issues like limited reach and insufficient personalisation. To address these hurdles, we propose a pioneering solution that harnesses first-party data to enable brands to embrace a forward-thinking, cookie-less strategy. By amalgamating user-anonymised location-based data with a diverse demographic dataset, our approach facilitates targeted campaign planning and omnichannel geographic targeting. Employing advanced AI/ML techniques, including ensemble methods and boosting algorithms, our model dynamically selects optimal features and achieves superior performance metrics. Beta-testing revealed a significant improvement with a 43% lower CPA and a 140% higher CTR compared to traditional cookie-based targeting. © the Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Dimensionality reduction

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Analysis of Lossless Data Compression Algorithm in Columnar Data Warehouse 6

Analysis of Lossless Data Compression Algorithm in Columnar ...

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6th international conference on computing, Communication, Control and Automation, ICCUBEA 2022

作者： Aher, Rani Nandkishor Pande, Mandaar Symbiosis Centre for Information Technology Symbiosis International University Pune India

ISBN: (纸本)9781665484510

Organizations are heading towards a modernization journey. Cloud providers are playing a vital role in this journey. the industry is focused on cost efficiency and ROI since they need a huge investment for the modernization journey. Also, there are overheads for maintaining the legacy systems until they are completely migrated. this puts a lot of focus on cost reduction and is influenced by storage, compression, and performance parameters, which influence the cost directly. In this paper, we focus on studying data compression patterns, specifically BROTLI and ZSTD for columnar databases. We demonstrate structured and unstructured compressed data loading, storage and query execution statistics. For future development, this paper provides insight for further research areas. © 2022 IEEE.

关键词： Data compression

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2023 international conference on Control, Communication and computing, ICCC 2023

2023 International Conference on Control, Communication and ...

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5th international conference on Control, Communication and computing, ICCC 2023

ISBN: (纸本)9798350334128

the proceedings contain 139 papers. the topics discussed include: artificial level language: a library of computing engine for natural languages;fourth order sliding mode control of position for electro-hydraulic actuator;design of hexapod robot with adaptive gait transition on rough terrain;energy-efficient data aggregation schemes for low-power distributed wireless sensor networks using compressed sensing;adaptive neural attitude and altitude control of a quadrotor UAV with external disturbances via sliding mode control;an indigenous 32 bit pipelined processor for space applications;design of ins aided receiver integrity monitoring algorithm (ARIM) for GNSS integrated navigation systems;algebraic topology as an analytic tool to check lossless nature of geometric algorithms;implementing a land registration system using non-fungible tokens to represent land in the system and side-chain for data storage;a novel general purpose processing ASIC for inertial sensors;semi-autonomous non-singular terminal sliding mode control of a micro aerial robot for outdoor wall climbing operation;investigations on recent advancements in the fabrication of in-plane micro-supercapacitors as portable energy storage devices;Reswave-Net: a wavelet based residual U-Net for brain tumor segmentation and overall survival prediction;and bidirectional voltage level shifter with configurable voltage range.

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Enhancing High-Value Asset Security: RFID based Anti-theft System Evaluation and Optimization 14

Enhancing High-Value Asset Security: RFID based Anti-theft S...

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14th IEEE international conference on Control System, computing and Engineering, ICCSCE 2024

作者： Abidin, Syed Muhamad Solahuddin Syed Zainal Hamid, Shabinar Abdul Muhammad, Zuraida Leh, Nor Adni Mat Abdullah, Samihah Bakar, Siti Juliana Abu Fadhlullah, Solahuddin Yusuf MYTV Broadcasting Sdn Bhd 2271 Jalan Usahawan 2 Cyber 6 Selangor Cyberjaya63000 Malaysia Universiti Teknologi MARA Cawangan Pulau Pinang Permatang Pauh Campus Electrical Engineering Studies College of Engineering Pulau Pinang13500 Malaysia INTI International College School of Engineering and Technology Penang Malaysia

ISBN: (纸本)9798350364507

High-value assets are prime targets for theft. Mitigating the losses associated with such theft requires swift detection, accurate identification, and real-time response. this research proposes an anti-theft system employing active RFID technology to automate the process of tracking, comprising RFID tags and readers. the study evaluates the system's performance in a real-world environment by adopting Design of Experiment (DOE) and Analysis of Variance (ANOVA), focusing on key factors influencing throughput and communication range. the analysis revealed that baud rate and frame size were significant factors affecting throughput, with frame size having a stronger influence than baud rate. In evaluating communication range, power level and obstruction were the primary factors impacting read range performance, with power level exerting a greater influence than obstruction. the findings of this study provide guidelines for optimizing the deployment of RFID-based anti-theft systems. © 2024 IEEE.

关键词： Analysis of variance (ANOVA)

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Pioneering AI in UAV-Assisted 6G Networks for the Advancement of Mobile Robotics in Industry 5.0 7

Pioneering AI in UAV-Assisted 6G Networks for the Advancemen...

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7th international conference on Contemporary computing and Informatics, IC3I 2024

作者： Manjunatha Aswini, S. Lakhanpal, Sorabh Rao, Bolleddu Devananda Srivastava, Abhinav Smitha, K. New Horizon College of Engineering Department of Mechanical Engineering Bangalore India Institute of Aeronautical Engineering Department of Computer Science and Engineering Telangana Hyderabad India Lovely Professional University Phagwara India Mlr Institute of Technology Department of Computer Science and Engineering Telangana Hyderabad India Fs University Shikohabad Firozabad India Lloyd Law College Uttar Pradesh Greater Noida India

ISBN: (纸本)9798350350067

New methods are needed to keep up with the fast growth of Industry 5.0 when UAVs are added to 6G networks. this study talks about new ways to make tracking, communication, security, resource sharing, and finding problems better in 6G networks that use unmanned aerial vehicles (UAVs). Using exploration-exploitation loops, the Bellman equation, and dynamic adaptation, the Reinforcement Learning for UAV Navigation method makes decisions that are flexible. Machine Learning is used in Dynamic Network Adaptability to make communication methods better in real time. this makes UAV networks more flexible and efficient. Using AI algorithms to design a secure communication protocol gives great security. Important data is sent safely in 6G networks with UAVs using encryption driven by AI. the Scalable Resource Allocation using Genetic algorithms Algorithm also offers a fresh way of allocating resources, which makes it flexible and scalable for a range of task situations. Anomaly detection in real time is needed for Industry 5.0 apps, and the Real-time Anomaly Detection using Deep Learning Algorithm makes security better. A full test of comparison shows that the suggested options do better in terms of accuracy, dependability, freedom, and openness. the pictures support the idea that the suggested options are better than the current ones. A research paper on Reinforcement Learning for UAV Navigation focuses on the exploration-exploitation, dynamic adaptation, and Bellman equation use of the method. Overall, these options give you all the tools you need to make UAV activities better over 6G networks in Industry 5.0. they make it easier to use UAVs in many situations by encouraging flexible choices, smart use of resources, safe contact, and instant discovery of strange events. © 2024 IEEE.

关键词： Resource allocation

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