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International Journal of P2P Network Trends and Technology最新文献

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Coarse-Grained Classification Of P2p Network Traffic Using Filter/Wrapper Features Selection 基于过滤器/包装器特征选择的P2p网络流量粗粒度分类
Pub Date : 2019-09-25 DOI: 10.14445/22492615/ijptt-v9i5p402
Haitam A. Jamil, Bushra M. Ali, Ahmed E. Osman, Hind G. Abdelrahim
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引用次数: 0
Energy Efficient Routing Protocol using LPA-star algorithm with Dynamic Threshold 基于动态门限LPA-star算法的节能路由协议
Pub Date : 2019-08-25 DOI: 10.14445/22492615/ijptt-v9i4p403
Ahmed A. Alkadhmawee, M. A. Altaha
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引用次数: 0
A Survey on Search Engine Optimization Techniques 搜索引擎优化技术综述
Pub Date : 2019-01-25 DOI: 10.14445/22492615/IJPTT-V9I1P402
R.Anil Kumar, Zaiduddin Shaik, M. Furqan
This paper is a finished study of various tools and strategies utilized for SEO. Search Engines which are utilized to discover any data crosswise over web. The primary goal of any site is to list at the top of all the links. Search Engine Optimization is the specialty of enhancing a site's perceivability in the fundamental assemblage of search engine results. This craft of enhancing a sites perceivability in the assemblage of search engines result is conceivable utilizing the methods and apparatuses accessible in the market.
本文是各种工具和策略利用SEO完成的研究。搜索引擎,用于发现任何数据在网络上横向。任何网站的主要目标都是在所有链接的顶部列出。搜索引擎优化是在搜索引擎结果的基本组合中增强网站的可感知性的专业。利用市场上可访问的方法和设备,提高网站在搜索引擎结果组合中的可感知性的这种技术是可以想象的。
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引用次数: 2
A Region-Driven Analysis of Processor Power Consumption for Various HPC Workloads 不同HPC工作负载下处理器功耗的区域驱动分析
Pub Date : 2019-01-25 DOI: 10.14445/22492615/IJPTT-V9I1P404
Sharda Dixit, Amarjeet Sharma, A. Gupta
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引用次数: 0
A Survey on Machine Learning 机器学习综述
Pub Date : 2019-01-25 DOI: 10.14445/22492615/ijptt-v9i1p403
R.Anil Kumar, S. Ahamed, S. Basha
Abstract: AI (ML) has advanced from the chance of PCs figuring out how to mess around and part of Mathematics (Statistics) that only occasionally viewed as computational methodologies, to a free examination discipline. Yet in addition has created different calculations that are consistently utilized for text understanding, design acknowledgment, and a numerous other business purposes. This paper centers around clarifying the idea and advancement of Machine Learning, a portion of the well-known Machine Learning calculations.
摘要:人工智能(ML)已经从个人电脑搞清楚如何瞎搞的机会,以及偶尔被视为计算方法的数学(统计学)的一部分,发展成为一门免费的考试学科。此外,还创建了不同的计算,这些计算一直用于文本理解、设计确认和许多其他业务目的。本文围绕着阐明机器学习的思想和进展,这是众所周知的机器学习计算的一部分。
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引用次数: 13
Queuing Network using Job Scheduling using Transposition Cipher 基于换位密码的作业调度排队网络
Pub Date : 2018-08-25 DOI: 10.14445/22492615/IJPTT-V8I4P402
Vera B. Anand, Christ, R.Siva kumar
Today, network carries huge volume of data across various applications and devices. Each application depends on some service which is served from a desired server. The client’s request increase in number day to day and the demands of the user are high. Computer network is broadly classified into two categories as wired and wireless with the usage of various interface devices.The technical mechanism in each of such devices varies based on the users need. The performance of each device can be analyzed and can make use of it with more efficiency. The efficiency of the network can still be improved by managing the requests in a standard framework using queuing theory and Transposition Cipher method were used for protected data transmission.
今天,网络承载着各种应用程序和设备之间的大量数据。每个应用程序都依赖于某个服务,该服务由所需的服务器提供。客户的请求日益增多,用户的要求也越来越高。计算机网络大致分为有线和无线两类,使用各种接口设备。每一种设备的技术机制都根据用户的需要而变化。可以分析每个设备的性能,并可以更有效地利用它。利用排队论在标准框架内对请求进行管理,可以提高网络的效率,并采用调换密码方法进行受保护的数据传输。
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引用次数: 0
Blogging – Future Media and Internet Activism 博客——未来的媒体和网络行动主义
Pub Date : 2018-08-25 DOI: 10.14445/22492615/ijptt-v8i4p403
M. T. Qureshi, Amir Mushtaq, Danyal Ahmed, A. Saleem
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引用次数: 0
A Hybrid Approach for SVD and Neural Networks Based Robust Image Watermarking 基于奇异值分解和神经网络的鲁棒图像水印混合方法
Pub Date : 2018-07-25 DOI: 10.14445/22492615/ijptt-v8i4p401
Mokhtar Hussein, B.Man jula
In the digital world, a lot of digital watermarking techniques for copyright protection of multimedia data have been proposed to avoid their misuse. Implementation of these watermarking schemes requires main focus on robustness, trustworthiness and imperceptibility. In this paper, a new SVD and Neural Network based robust image watermarking method is proposed. The proposed method is supposed to offer better quality and robustness for the image under different types of attacks and under copy move forgery attacks.
在数字世界中,人们提出了许多用于多媒体数据版权保护的数字水印技术,以避免其误用。这些水印方案的实现主要关注鲁棒性、可信度和不可感知性。提出了一种新的基于奇异值分解和神经网络的鲁棒图像水印方法。该方法对不同类型的攻击和复制移动伪造攻击具有更好的图像质量和鲁棒性。
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引用次数: 0
期刊
International Journal of P2P Network Trends and Technology
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