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Romanian Journal of Information Technology and Automatic Control-Revista Romana de Informatica si Automatica最新文献

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An auction-based resource allocation in Cloud Radio Access Network (C-RAN) 基于拍卖的云无线接入网资源分配
Samaher AL KHUZAIM, Enas F. Khairullah, S. Buhari
Cloud-based radio access networks (C-RANs) are an emerging technology for 5G cellular networks. The increasing demand for radio resources causes many challenges in managing resources, such as power and interference management, user association, and spectrum allocation. This study aims to handle resource allocation challenges. We propose a novel model to maximize channel utilization by employing an auction mechanism applied in the C-RAN framework. We provide an unit-based allocation considering users’ maximum and minimum demands. We expect that the proposed schema will increase auctioneer revenue, maximize channel utilization, and maximize user satisfaction while meeting users’ demands. Moreover, we conduct a comparison between the proposed schema and the previous standard method. The results of the comparison show that the proposed scenarios increased the spectrum utilization by 66%, maximized revenue by 166%, increased the user satisfaction by 22%, and increased Jain’s fairness index by 17%. Consequently, these outcomes prove the effectiveness of the proposed method. A plan to find the optimal values for simulation parameters to get better results by applying a different winner determination problem (WDP) strategy is considered as future work.
基于云的无线接入网络(c - ran)是5G蜂窝网络的新兴技术。随着无线电资源需求的不断增长,在功率和干扰管理、用户关联、频谱分配等资源管理方面提出了许多挑战。本研究旨在解决资源分配挑战。我们提出了一种新的模型,通过在C-RAN框架中应用拍卖机制来最大化信道利用率。我们根据用户的最大和最小需求提供基于单位的分配。我们期望所提出的方案能够在满足用户需求的同时,增加拍卖商收入,最大化渠道利用率,最大化用户满意度。此外,我们还将所提出的模式与之前的标准方法进行了比较。对比结果表明,所提方案的频谱利用率提高66%,收益最大化提高166%,用户满意度提高22%,Jain公平性指数提高17%。因此,这些结果证明了所提出方法的有效性。通过采用不同的赢家确定问题(WDP)策略来寻找仿真参数的最优值以获得更好的结果,这是未来的工作。
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引用次数: 2
Analiza comparativă a trei platforme de e-Learning utilizate de către studenți în perioada pandemiei de COVID-19 新冠肺炎大流行期间学生使用的三个电子学习平台的比较分析
Dragos Daniel Iordache, Monica Barbu
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引用次数: 0
Application of Residue Number Systems in enhancing the transmission of secured videos 剩余数系统在增强安全视频传输中的应用
A. N. Babatunde, A. Oloyede
Full video Encryption has been established as the most suitable technique to guarantee the security of digital video data during transmission but cannot be widely adopted because of its large disk space and long processing time. Therefore, this paper aims at reducing the computational space complexity using Residue Number System (RNS). MPEG IV algorithm and encryption of pixel values using the traditional RNS moduli set were employed for the encryption while a modified reverse converter was used for decryption. JAVA was used for the implementation while an evaluation was performed to compare the disk size of the cipher and deciphered videos. The scheme outperformed the existing evaluated cryptosystems in terms of cipher size and the decrypted videos increased by 49% when compared with the original video. The space computational complexity problem in full video encryption was adequately reduced using RNS. It is recommended that RNS should be used for securing video transmission and storage.
视频全加密技术被认为是保证数字视频数据在传输过程中安全的最合适的技术,但由于其磁盘空间大,处理时间长,不能得到广泛采用。因此,本文旨在利用剩余数系统(RNS)来降低计算空间复杂度。加密采用MPEG IV算法,采用传统的RNS模集对像素值进行加密,解密采用改进的反向转换器。JAVA用于实现,同时执行评估以比较密码和解密视频的磁盘大小。该方案在密码大小方面优于现有的评估密码系统,解密的视频与原始视频相比增加了49%。利用RNS技术,充分降低了全视频加密中的空间计算复杂度问题。建议使用RNS来保证视频传输和存储的安全性。
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引用次数: 0
Telemedicine in India - an investment of technology for a digitized healthcare industry: a systematic review 印度的远程医疗——数字化医疗行业的技术投资:系统回顾
Varun Verma, Vijaya Krishnan, C. Verma
Connecting rural India to modernised healthcare facilities through telemedicine has been a long-time vision of the Government of India. Telemedicine provides continuity of care to patients keeping the doctor-patient interaction alive. This study aims to explore telemedicine and its ever-growing trend. The journey of its evolution from a doubtful start to its current position is examined in this study. A systematic electronic search for articles available between 2014 to 2020 using MEDLINE, EMBASE, Cochrane Database and Google Scholar was performed using PRISMA guidelines. Studies published in English, with free full-text availability and "telemedicine" and "India" used as keywords were included. 126 studies were identified and, after a further analysis, 21 of 44 articles were chosen for assessment. The healthcare industry is largely benefitting from telemedicine. Different fields of medicine have provided successful evaluations and remedies by utilising telemedicine. We found that systematic availability and functioning of ICT, technical infrastructure, data storage systems, standardization of health protocols are few of the challenges faced. COVID 19 has forced the resilience of patients and professional Indians to overcome the barriers and explore telemedicine to achieve quality patient-centric and value-based healthcare. Digitization displays tremendous potential to facilitate a booming practise in telemedicine with suitable training and stringent guidelines.
通过远程医疗将印度农村与现代化医疗设施连接起来一直是印度政府的长期愿景。远程医疗为患者提供连续的护理,保持医患互动的活力。本研究旨在探讨远程医疗及其发展趋势。本研究考察了它从一个可疑的开始到目前地位的演变历程。使用PRISMA指南,使用MEDLINE、EMBASE、Cochrane数据库和Google Scholar对2014年至2020年间可用的文章进行了系统的电子搜索。包括以英文发表的研究,全文免费,并以“远程医疗”和“印度”为关键词。确定了126项研究,经过进一步分析,在44篇文章中选择了21篇进行评估。医疗保健行业在很大程度上受益于远程医疗。不同的医学领域通过利用远程医疗提供了成功的评估和补救措施。我们发现,信息和通信技术的系统可用性和功能、技术基础设施、数据存储系统、卫生协议的标准化是面临的少数挑战。2019冠状病毒病迫使患者和专业印度人克服障碍,探索远程医疗,以实现以患者为中心和基于价值的高质量医疗。数字化显示出巨大的潜力,通过适当的培训和严格的指导方针,促进远程医疗的蓬勃发展。
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引用次数: 2
Aspecte intrinseci ale consolidării e-Guvernării la nivelul Uniunii Europene. Studiu de caz: România 在欧盟层面加强电子政府的内在方面。案例研究:罗马尼亚
A. Radu, Ioana Petcu
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引用次数: 0
Design and implementation of clothing fashion style recommendation system using deep learning 基于深度学习的服装时尚风格推荐系统的设计与实现
M. Khalid, Mao Keming, Tariq Hussain
In recent years, the huge amount of information and users of the internet service, it is hard to know quickly and accurately what the user wants. This phenomenon leads to an extremely low utilization of information, also known as the information overload problem. Traditionally, keywords are used to retrieve images, but such methods require a lot of annotations on the image data, which will lead to serious problems such as inconsistent, inaccurate, and incomplete descriptions, and a huge amount of work. To solve this problem, Content Based Information Retrieval (CBIR) has gradually become a research hotspot. CBIR retrieves picture objects based entirely on the content. The content of an image needs to be represented by features that represent its uniqueness. Basically, any picture object can be represented by its specific shapes, colors, and textures. These visual characteristics of the image are used as input conditions for the query system, and a result the system will recommended nearest images and data set. This research designs and implements two-stage deep learning-based model that recommends a clothing fashion style. This model can use deep learning approach to extract various attributes from images with clothes to learn the user's clothing style and preferences. These attributes are provided to the correspondence model to retrieve the contiguous related images for recommendation. Based on data-driven, this thesis uses convolutional neural network as a visual extractor of image objects. This experimental model shows and achieves better results than the ones of the previous schemes.
近年来,海量的信息和用户在互联网上服务,很难快速准确地知道用户想要什么。这种现象导致信息利用率极低,也被称为信息过载问题。传统上使用关键字来检索图像,但这种方法需要对图像数据进行大量注释,这将导致描述不一致、不准确、不完整等严重问题,工作量巨大。为了解决这一问题,基于内容的信息检索(CBIR)逐渐成为研究热点。CBIR完全基于内容检索图片对象。图像的内容需要用表示其唯一性的特征来表示。基本上,任何图片对象都可以用其特定的形状、颜色和纹理来表示。这些图像的视觉特征被用作查询系统的输入条件,结果系统将推荐最近的图像和数据集。本研究设计并实现了基于两阶段深度学习的服装时尚风格推荐模型。该模型可以使用深度学习的方法从带有衣服的图像中提取各种属性,从而了解用户的服装风格和偏好。这些属性提供给对应模型来检索连续的相关图像进行推荐。本文在数据驱动的基础上,采用卷积神经网络作为图像对象的视觉提取器。该实验模型显示并取得了比以往方案更好的效果。
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引用次数: 5
Proiectarea automată a sistemelor lineare multivariabile compensate 补偿多元线性系统的自动设计
Adrian Sfarti
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引用次数: 0
Introducere în cadrele Python pentru dezvoltare web 用于web开发的Python框架介绍
Flaviu Fuior
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引用次数: 0
Performance improvement of the proxy servers’ cache in distributed systems using session and cookie techniques based on game theory 基于博弈论的会话和cookie技术对分布式系统中代理服务器缓存性能的改进
Bita Jafari, P. Bayat
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引用次数: 0
Mobile device forensics 移动设备取证
A. Aljahdali, Nawal Alsaidi, Maram M Alsafri, A. Alsulami, Turkia Almutairi
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引用次数: 1
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Romanian Journal of Information Technology and Automatic Control-Revista Romana de Informatica si Automatica
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