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Robust, Lossless and parallel Medical Image Encryption Scheme 4

Robust, Lossless and Parallel Medical Image Encryption Schem...

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4th international conference on advances in Electrical, computing, Communication and Sustainable Technologies, ICAECT 2024

作者： Morankar, Gouri Pacharaney, Utkarsha Shahane, Priti Shri Ramdeobaba College of Engineering and Management Nagpur India Datta Meghe Institute of Higher Education and Research Faculty of Engineering and Technology Wardha India Symbiosis International Deemed University Symbiosis Institute of Technology Pune India

ISBN: (纸本)9798350343670

Tremendous progress in Internet of Things (IoT) has fuelled the transmission of data through several devices including medical equipment's. Precise diagnosis of diseases through medical images obtained through CT-Scan, MRI Scan, X-Ray, Sonography, etc is extremely important. These pre-recorded medical images are stored, transmitted and analyzed for diseases detection, underlining treatment and future references. Minor changes in medical images through several channels intentionally or unintentionally may consequence in major risk to patient's life. In this paper robust, lossless and parallel medical image encryption scheme is proposed through bit planes, confusion, diffusion and cubic maps. Proposed medical image encryption technique is based on bit planes, image pixel scrambling using bit plane shifting, rotation and random permutation. A chaotic cubic map is applied to generate key used in random permutation. The efficacy of the proposed medical image encryption scheme is established through entropy, unified average change intensity (UACI), number of pixel change rate (NPCR), correlation coefficient and histogram differential attacks. The proposed encryption technique can be easily adopted for color medical image encryption. © 2024 IEEE.

关键词： Encryption Lossless Medical Image parallel Robust

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parallel-Connected Distribution Generation System Operating in Islanded Mode Using Improved Droop Control Technique

Parallel-Connected Distribution Generation System Operating ...

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2024 IEEE international conference on Signal Processing and Advance Research in computing, SPARC 2024

作者： Rai, Tanushree Tripathi, Anurag Verma, Anurag Institute of Engineering and Technology Department of Electrical Engineering Lucknow India

ISBN: (纸本)9798350385199

To maintain dependable and effective operation, especially in islanded microgrid situations, integrating distributed Generation (DG) units and renewable energy sources into electrical grids has required sophisticated control systems. In the present work a parallel connected DG integrates with solar PV, wind, and Ideal DC Voltage for an islanded microgrid with droop control technique has been proposed. This work used the improved droop control method for parallel-connected DG systems in islanded mode to ensure stable voltage and frequency of the system. The droop control technique, which has been around for a while in AC microgrid load sharing, has been improved to handle the issues of isolated network voltage and frequency stability. Droop coefficients are optimized as part of the proposed approach to improve dynamic responsiveness and reduce circulating currents between parallel inverters. The droop control technique controls voltage and frequency. A model of the proposed system has been modelled in MATLAB/ Simulink and results are verified under shifting load conditions and sources. © 2024 IEEE.

关键词： Frequency stability

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Performance Validation of Server-Less computing Using Machine Learning 3

Performance Validation of Server-Less Computing Using Machin...

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3rd IEEE international conference on Blockchain and distributed Systems Security, ICBDS 2024

作者： Khatri, Deepak Khatri, Sunil Kumar Mishra, Deepti Amity University Noida India Ntnu Norway

ISBN: (纸本)9798350354348

A promising paradigm for developing scalable and affordable cloud applications is serverless computing. However, because of their dynamic nature and intrinsic complexity, evaluating the performance of serverless platforms presents difficulties. With the use of machine learning techniques, this research offers a novel method for performance validating serverless computing environments. The machine learning models that can forecast performance under different workloads and setups are then trained using these metrics. Stakeholders can learn more about the behavior of serverless systems and adjust their applications accordingly by using this predictive modeling. The performance analysis carried out in the paper probably includes several variables, including throughput, scalability, reaction time, cost efficiency, and resource use. The authors aim to provide a relative performance of serverless edge computing systems by comparing these measures between various frameworks. Experiments are carried out on distinct serverless platforms, such as Kubeless, OpenFaas, Fission, and funX, to confirm the efficacy of the suggested methodology. The outcomes show how accurate and adaptable our prediction algorithms are at projecting performance indicators for various platforms and workload circumstances. Overall, by providing a methodical approach to performance assessment, this research advances serverless computing and helps cloud service providers and developers make more educated decisions. © 2024 IEEE.

关键词： Adversarial machine learning

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Optimizing Search and Sort Algorithms: Harnessing parallel Programming for Efficient Processing of Large Datasets 2

Optimizing Search and Sort Algorithms: Harnessing Parallel P...

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2nd international conference on Automation, computing and Renewable Systems, ICACRS 2023

作者： Maurya, Ipsit Sinha, Subhratha Suguna, M. School of Computer Science and Engineering Vellore Institute of Technology Chennai India

ISBN: (纸本)9798350340235

This research study investigates the impact of parallel programming techniques on the performance of searching and sorting algorithms. Traditional sequential algorithms have been the foundation of data processing for decades, but the increasing availability of parallel computing resources opens new possibilities for improving efficiency and reducing execution times. By leveraging parallel programming models, such as shared memory and distributed memory systems, this study explores how the parallelization of search and sort algorithms can enhance their speed and scalability. Through comprehensive experimentation and analysis, this study aims to provide valuable insights into the benefits and challenges of parallel programming in the context of searching and sorting algorithms. © 2023 IEEE.

关键词： parallel programming Performance optimization Scalability analysis Searching algorithms Sorting algorithms

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Safe Execution of parallel Component Applications on an Unstable Heterogeneous Cluster Platform 4

Safe Execution of Parallel Component Applications on an Unst...

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4th international conference on Applied Mathematics, Modeling and Computer Simulation, AMMCS 2024

作者： Peng, Yunfeng Shi, Congming Gao, Guowei Wang, Jianan Liu, Hai School of Software Engineering Anyang Normal University Henan Anyang455000 China

ISBN: (纸本)9781643685519

parallel component technology improves the development efficiency and performance of parallel software. parallel component applications often need to be deployed on unstable heterogeneous cluster platforms. By analyzing the running mechanism of parallel component applications, this paper realizes the method of optimizing the deployment and running management of parallel components on the basis of modelling and managing the computing resources of heterogeneous platforms. This method can select nodes with light load to deploy parallel component code, and monitor the status of computing resources during the component operation. Our method can find the unavailable computing resources in time, and redeploy the parallel components running on them to other nodes with light load, which reduces the adverse impact of computing resource failure on the operation of component applications, and ensures the safe execution of parallel component applications on unstable heterogeneous platforms and achieves the expected results. © 2024 The Authors.

关键词： failure handling parallel component parallel computing Resource management

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Resiliency Measurement Framework for distributed Energy Resource Integrated Distribution Networks

Resiliency Measurement Framework for Distributed Energy Reso...

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2024 international conference on advances in computing, Communication, Electrical, and Smart Systems, iCACCESS 2024

作者： Kuriakose, Eldho Aziz, Asma Qays, Md Ohirul Hossain, Md. Liton Hasan, Rasedul Sohan, Moshiur Rahman School of Engineering Edith Cowan University JoondalupWA6027 Australia University of Liberal Arts Bangladesh Department of Electrical and Electronic Engineering Dhaka1207 Bangladesh Aurecon Australasia North SydneyNSW2060 Australia

ISBN: (纸本)9798350350289

External and internal disruptions into power system stability motivates to research on a qualified grid resilience system. With this, indispensability of electricity infrastructure emphasizes the critical need for power system resilience in facing interruptions, especially extreme incidents e.g. natural disasters, deliberate attacks etc. Thus, this study concentrates on distribution networks, emphasizing the effect of natural disasters and integration of distributed energy resources to the grid. It offers a contemporary overview of grid resilience, introducing an advanced framework to assess distribution network resilience and analyse relevant terminologies. An adaptable grid resiliency framework derived from a meticulous examination of existing metric structures is presented in this study. PSCAD software is further utilized to present the real-world grid system analysis. The proposed model is, additionally, assessed by applying into an IEEE 9 bus test system to elucidate its potential impacts and feasible solution. The designed circuit demonstrate the recovery of faulty bus from potential blackout conditions with the help of integration of renewable energy sources. © 2024 IEEE.

关键词： Electric power distribution

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Exact distributed Stochastic Block Partitioning 25

Exact Distributed Stochastic Block Partitioning

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25th IEEE international conference on Cluster computing (CLUSTER)

作者： Wanye, Frank Gleyzer, Vitaliy Kao, Edward Feng, Wu-chun Virginia Tech Dept Comp Sci Blacksburg VA 24061 USA MIT Lincoln Lab Lexington MA USA

ISBN: (纸本)9798350307924

Stochastic block partitioning (SBP) is a community detection algorithm that is highly accurate even on graphs with a complex community structure, but its inherently serial nature hinders its widespread adoption by the wider scientific community. To make it practical to analyze large real-world graphs with SBP, there is a growing need to parallelize and distribute the algorithm. The current state-of-the-art distributed SBP algorithm is a divide-and-conquer approach that limits communication between compute nodes until the end of inference. This leads to the breaking of computational dependencies, which causes convergence issues as the number of compute nodes increases and when the graph is sufficiently sparse. To address this shortcoming, we introduce EDiSt - an exact distributed stochastic block partitioning algorithm. Under EDiSt, compute nodes periodically share community assignments during inference. Due to this additional communication, EDiSt improves upon the divide-and-conquer algorithm by allowing it to scale out to a larger number of compute nodes without suffering from convergence issues, even on sparse graphs. We show that EDiSt provides speedups of up to 26.9x over the divide-and-conquer approach and speedups up to 44.0x over shared memory parallel SBP when scaled out to 64 compute nodes.

关键词： community detection graph clustering stochastic blockmodels bayesian inference asynchronous Gibbs MPI

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An Insight into the State-of-the-Art Vehicular Fog computing with an Opportunistic Flavour 1

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14th international conference on parallel Processing and Applied Mathematics, PPAM 2022

作者： Ostrowski, Krzysztof Malecki, Krzysztof West Pomeranian University of Technology Szczecin Poland

ISBN: (数字)9783031304453

ISBN: (纸本)9783031304446

Vehicular fog computing constitutes an environment for execution of demanding computation and storage tasks. There formed a hierarchical decentralised and distributed architecture supports the resource-constrained devices in completion of assignments too complex for them, and too latency-sensitive to be delegated to a cloud. This paper evaluates the recent advances in the research on vehicular fog computing focused on the exploitation of resources of the moving vehicles that operate in the opportunistic device-to-device dynamic networking environments. The proposed evaluation criteria consider structural, behavioural, and functional safety aspects of such systems. A set of research directions concludes this article. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Fog computing

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Island Energy Autonomy: A Techno-Economic Assessment of a Virtual Power Plant in Bangladesh

Island Energy Autonomy: A Techno-Economic Assessment of a Vi...

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2024 international conference on advances in computing, Communication, Electrical, and Smart Systems, iCACCESS 2024

作者： Chowdhury, Prangon Yeassin, Rahbaar Tasmia, Israt Jahan Fuad, Abu M. Hasan, Mahmudul Chowdhury, Nahid-Ur-Rahman Ahsanullah University of Science and Technology Department of Electrical and Electronic Engineering Dhaka Bangladesh University of Scholars Department of Electrical and Electronic Engineering Dhaka Bangladesh Northern University Bangladesh Department of Electrical and Electronic Engineering Dhaka Bangladesh

ISBN: (纸本)9798350350289

Owing to population growth and industrialization, the need for electricity is at its apex, which creates stress on the grid due to the continuous consumption of power. To produce energy, natural resources are utilized ceaselessly, depleting the re-serve for the future. The consistent use of conventional resources is causing global warming along with several natural issues. Therefore, shifting to distributed energy resources (DERs) is a convenient solution. Although many of the developed countries have already implemented virtual power plants (VPP) and are pondering over their improvements, Bangladesh is lacking in this area. Therefore, this paper delves into existing energy scenarios and renewable energy (RE) prospects to design a VPP combining solar and wind for Hatiya Island in Bangladesh, to provide a continuous power supply to the whole region and remove the stress on the grid. The infrastructure of the whole system is developed in MATLAB/SIMULINK, and the techno-economic analysis is also carried out. The simulation outcomes illustrate that the Net Present Cost is 39550818 USD and the Levelized Cost of Energy is 0.03 USDlkWh. © 2024 IEEE.

关键词： distributed power generation

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Designing a Sustainable Serverless Graph Processing Tool on the computing Continuum

Designing a Sustainable Serverless Graph Processing Tool on ...

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29th international conference on parallel and distributed computing (Euro-Par)

作者： Farahani, Reza Ristov, Sashko Prodan, Radu Alpen Adria Univ Klagenfurt Klagenfurt Austria Univ Innsbruck Innsbruck Austria

ISBN: (纸本)9783031488023;9783031488030

Graph processing has become increasingly popular and essential for solving complex problems in various domains, like social networks. However, the processing of graphs on a massive scale poses critical challenges, such as inefficient utilization of resources and energy. To bridge such challenges, the Graph-Massivizer project, funded by the Horizon Europe research and innovation program, conducts research and develops a high-performance, scalable, and sustainable platform for information processing and reasoning based on the massive graph (MG) representation of extreme data. This paper presents an initial architectural design for the Graph-Choreographer, one of the five Graph-Massivizer tools. We explain Graph-Choreographer's components and demonstrate how Graph-Choreographer can adopt the emerging serverless computing paradigm to process Basic Graph Operations (BGOs) as serverless functions across the computing continuum efficiently. We also present an early vision of our federated Function-as-a-Service (FaaS) testbed, which will be used to conduct experiments and assess the tool's performance.

关键词： computing Continuum Serverless FaaS Massive Graph

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