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International Journal of Grid and Utility Computing最新文献

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Enhancing the 5G V2X reliability using turbo coding for short frames 利用短帧turbo编码增强5G V2X可靠性
IF 0.5 Q3 Mathematics Pub Date : 2023-01-01 DOI: 10.1504/ijguc.2023.10058799
C. Chaikalis, Dimitrios Kosmanos, Konstantinos E. Anagnostou, I. Savvas, Dimitros Bargiotas
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引用次数: 0
QoS-driven hybrid task scheduling algorithm in a cloud computing environment 云计算环境下qos驱动的混合任务调度算法
Q3 Mathematics Pub Date : 2023-01-01 DOI: 10.1504/ijguc.2023.132614
Sirisha Potluri, Sachi Nandan Mohanty, Sarita Mohanty
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引用次数: 0
Research on the extraction of accounting multi-relationship information based on cloud computing and multimedia 基于云计算和多媒体的会计多关系信息提取研究
Q3 Mathematics Pub Date : 2023-01-01 DOI: 10.1504/ijguc.2023.133443
Yu Ning
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引用次数: 0
Toward stance parameter algorithm with aggregate comments for fake news detection 基于聚合评论的姿态参数算法在假新闻检测中的应用
Q3 Mathematics Pub Date : 2023-01-01 DOI: 10.1504/ijguc.2023.133408
Yinnan Yao, Changhao Tang, Kun Ma
In the detection of fake news, the stance of comments usually contains evidence supporting false news that can be used to corroborate the detected results of the fake news. However, due to the misleading content of fake news, there is also the possibility of fake comments. By analysing the position of comments and considering the falseness of comments, comments can be used more effectively to detect fake news. In response to this problem, we proposed Bipolar Argumentation Frameworks of Reset Comments Stance (BAFs-RCS) and Average Parameter Aggregation of Comments (APAC) to use the stance of comments to correct the prediction results of the RoBERTa model. We use the Fakeddit dataset for experiments. Our macro-F1 results on 2-way and 3-way are improved by 0.0029 and 0.0038 compared to the baseline RoBERTa model's macro-F1 results at Fakeddit dataset. The results show that our method can effectively use the stance of comments to correct the results of model prediction errors.
在假新闻的检测中,评论的立场通常包含支持假新闻的证据,可以用来证实假新闻的检测结果。然而,由于假新闻的误导性内容,也存在假评论的可能性。通过分析评论的位置,考虑评论的虚假性,可以更有效地利用评论来检测假新闻。针对这一问题,我们提出了重置评论立场的双极性论证框架(BAFs-RCS)和评论平均参数聚合框架(APAC),利用评论立场修正RoBERTa模型的预测结果。我们使用Fakeddit数据集进行实验。与基线RoBERTa模型在Fakeddit数据集上的宏观f1结果相比,我们在2-way和3-way上的宏观f1结果分别提高了0.0029和0.0038。结果表明,我们的方法可以有效地利用评论的立场来纠正模型预测误差的结果。
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引用次数: 0
Detection of Crop Disorder using Deep Learning 利用深度学习检测作物病害
Q3 Mathematics Pub Date : 2023-01-01 DOI: 10.1504/ijguc.2023.10060098
Vinita Chauhan, Suma Dawn
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引用次数: 0
Optimisation of the hybrid grey wolf method in cluster-based wireless sensor network using edge computing 基于边缘计算的聚类无线传感器网络混合灰狼算法优化
Q3 Mathematics Pub Date : 2023-01-01 DOI: 10.1504/ijguc.2023.10060014
Rakesh Kumar, Ashok Kumar Rai
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引用次数: 0
Toward stance parameter algorithm with aggregate comments for fake news detection 基于聚合评论的姿态参数算法在假新闻检测中的应用
IF 0.5 Q3 Mathematics Pub Date : 2023-01-01 DOI: 10.1504/ijguc.2023.10058798
Kun Ma, Changhao Tang, Yinnan Yao
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引用次数: 0
An event-driven and lightweight proactive auto-scaling architecture for cloud applications 用于云应用程序的事件驱动的轻量级主动自动扩展架构
Q3 Mathematics Pub Date : 2023-01-01 DOI: 10.1504/ijguc.2023.133450
Uttom Akash, Partha Protim Paul, Ahsan Habib
The cloud environment is used by the application providers (APs) to host their applications in order to reduce procurement and management costs of the cloud resources. Moreover, the variation in the traffic load of the client applications and the appealing auto-scaling capability of the cloud resources have prompted application providers to seek ways to reduce the cost of their rented services. This paper describes a constructive auto-scaling mechanism based on the events in cloud systems fitted with heuristic predictors. The predictor examines historical data using these approaches: (1) Double Exponential Smoothing (DES), (2) Triple Exponential Smoothing (TES), (3) Weighted Moving Average (WMA) and (4) WMA with Fibonacci numbers. The outcomes of this model simulation in CloudSim indicate that the model can decrease the application provider's cost while preserving application user satisfaction.
应用程序提供商(ap)使用云环境来托管其应用程序,以降低云资源的采购和管理成本。此外,客户端应用程序流量负载的变化和云资源诱人的自动扩展功能促使应用程序提供商寻求降低其租用服务成本的方法。本文描述了一种基于启发式预测器的云系统事件自扩展机制。预测器使用以下方法检查历史数据:(1)双指数平滑(DES),(2)三重指数平滑(TES),(3)加权移动平均(WMA)和(4)斐波那契数WMA。该模型在CloudSim中的仿真结果表明,该模型可以在保持应用程序用户满意度的同时降低应用程序提供商的成本。
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引用次数: 0
Design and fabrication of dual band AMC-backed monopole antenna for WLAN and Wi-Fi applications 用于WLAN和Wi-Fi应用的双频amc背馈单极天线的设计和制造
Q3 Mathematics Pub Date : 2023-01-01 DOI: 10.1504/ijguc.2023.133432
B. Madhavi, M.V. Siva Prasad
This paper presents the design and fabrication of a Coplanar Waveguide (CPW) fed dual band antenna with a Complementary Split Ring Resonator (CSRR) with and without Artificial Magnetic Conductor (AMC). This proposed model exhibits two operational bands with increased gain. The antenna design without AMC works at the bands of 2.41 to 2.62 GHz and 4.87 to 5.10 GHz. The obtained gains at resonances of working bands are 2.6 dB and 3.6 dB. The antenna with AMC operates at the bands of 2.33 to 2.57 GHz and 4.85 to 5.14 GHz, respectively. The attained gains at the resonances of working bands for AMC-backed monopole antenna are 5.15 dB and 6.12 dB. From the measured results, the bandwidth and gain are increased for AMC-backed design when compared with no AMC condition. In addition, the analysis of both antenna designs also done in HFSS workbench for analysing the return loss, 3D gains, current distributions and radiation patterns. As per the observed measures of gain values, the proposed antenna is suitable for the applications of Wi-Fi and WLAN.
介绍了一种共面波导(CPW)馈电双频天线的设计和制作方法,该天线带有互补裂环谐振器(CSRR),有和没有人工磁导体(AMC)。该模型具有两个增益增加的工作频带。无AMC的天线设计工作在2.41 ~ 2.62 GHz和4.87 ~ 5.10 GHz频段。在工作频段的谐振增益分别为2.6 dB和3.6 dB。AMC天线的工作频段分别为2.33 ~ 2.57 GHz和4.85 ~ 5.14 GHz。在工作频段谐振增益分别为5.15 dB和6.12 dB。从测量结果来看,与没有AMC的情况相比,支持AMC设计的带宽和增益都有所提高。此外,还在HFSS工作台上对两种天线设计进行了分析,分析了回波损耗、三维增益、电流分布和辐射方向图。根据观测到的增益值测量,该天线适合于Wi-Fi和WLAN的应用。
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引用次数: 0
Authentication and authorisation in service-oriented grid architecture 面向服务网格体系结构中的身份验证和授权
Q3 Mathematics Pub Date : 2023-01-01 DOI: 10.1504/ijguc.2023.133402
Arbër Beshiri, Anastas Mishev
Applications (services) nowadays request access to resources that are mostly distributed over the network (wide-area network). These applications usually rely on mediums like Grid Computing Infrastructure (GCI) that enable them to be executed. GCI has heterogeneous nature and supports security as an essential part in grid systems. Grid Security Infrastructure (GSI) is a technology standard for grid security. Authentication and even authorisation present a security challenge for grids. In this paper are discussed the authentication and authorisation infrastructures in the grid, including technologies that cover these two major parts in this domain. Here are surveyed the challenges that security encounters, respectively grid authentication mechanisms, grid authorisation mechanisms and models. The combination of the grid authorisation technologies and grid authentication technologies with authorisation infrastructures enables role-based and fine-grained authorisation. Such technologies provide promising solutions for service (resources) oriented grid architecture authentication and authorisation.
如今,应用程序(服务)请求访问大部分分布在网络(广域网)上的资源。这些应用程序通常依赖于像网格计算基础设施(GCI)这样的媒介来执行。GCI具有异构性,并作为网格系统的重要组成部分支持安全性。网格安全基础设施(GSI)是网格安全的技术标准。身份验证甚至授权对网格提出了安全挑战。本文讨论了网格中的身份验证和授权基础设施,包括涵盖该领域这两个主要部分的技术。下面是对安全性面临的挑战的调查,分别是网格身份验证机制、网格授权机制和模型。网格授权技术和网格身份验证技术与授权基础设施的组合支持基于角色的细粒度授权。这些技术为面向服务(资源)的网格体系结构身份验证和授权提供了有前途的解决方案。
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引用次数: 0
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International Journal of Grid and Utility Computing
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