Publisher: CCSE   (Total: 43 journals)   [Sort by number of followers]

Showing 1 - 40 of 40 Journals sorted alphabetically
Applied Physics Research     Open Access   (Followers: 9)
Asian Culture and History     Open Access   (Followers: 12)
Asian Social Science     Open Access   (Followers: 5)
Cancer and Clinical Oncology     Open Access   (Followers: 9)
Computer and Information Science     Open Access   (Followers: 15)
Earth Science Research     Open Access   (Followers: 8)
Energy and Environment Research     Open Access   (Followers: 14)
Engineering Management Research     Open Access   (Followers: 6)
English Language and Literature Studies     Open Access   (Followers: 18)
English Language Teaching     Open Access   (Followers: 32)
Environment and Natural Resources Research     Open Access   (Followers: 6)
Environment and Pollution     Open Access   (Followers: 10)
Global J. of Health Science     Open Access   (Followers: 6, SJR: 0.416, CiteScore: 1)
Higher Education Studies     Open Access   (Followers: 68)
Intl. Business Research     Open Access   (Followers: 6)
Intl. J. of Biology     Open Access   (Followers: 1)
Intl. J. of Business and Management     Open Access   (Followers: 15)
Intl. J. of Chemistry     Open Access   (Followers: 10)
Intl. J. of Economics and Finance     Open Access   (Followers: 13)
Intl. J. of English Linguistics     Open Access   (Followers: 11)
Intl. J. of Marketing Studies     Open Access   (Followers: 13)
Intl. J. of Psychological Studies     Open Access   (Followers: 4)
Intl. J. of Statistics and Probability     Open Access   (Followers: 3)
Intl. Law Research     Open Access   (Followers: 1)
J. of Agricultural Science     Open Access   (Followers: 5)
J. of Education and Learning     Open Access   (Followers: 2)
J. of Educational and Developmental Psychology     Open Access   (Followers: 15)
J. of Food Research     Open Access   (Followers: 3)
J. of Geography and Geology     Open Access   (Followers: 12)
J. of Materials Science Research     Open Access   (Followers: 9)
J. of Mathematics Research     Open Access  
J. of Molecular Biology Research     Open Access   (Followers: 4)
J. of Plant Studies     Open Access   (Followers: 1)
J. of Politics and Law     Open Access   (Followers: 9)
J. of Sustainable Development     Open Access   (Followers: 25)
Mechanical Engineering Research     Open Access   (Followers: 20)
Modern Applied Science     Open Access   (Followers: 1)
Network and Communication Technologies     Open Access   (Followers: 4)
Public Administration Research     Open Access   (Followers: 2)
Review of European Studies     Open Access   (Followers: 13)
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Network and Communication Technologies
Number of Followers: 4  

  This is an Open Access Journal Open Access journal
ISSN (Print) 1927-064X - ISSN (Online) 1927-0658
Published by CCSE Homepage  [43 journals]
  • Predicting the QoE of Video Streaming in Communication Networks

    • Authors: Giuseppe Iazeolla
      Abstract: The Video streaming QoE (Quality of Experience) index consists of a series of qualitative factors that are difficult to measure. On the other hand, other Video streaming indices, such as the KPIs (Key Performance Indicators) are easily and physically measurable.This paper introduces a method to predict QoE based on KPIs measures in (wired or wireless) communication networks. Besides the possible academic interest, the method may practically be of interest to the network operator. Indeed, to ensure compliance with the SLA (Service Level Agreement) he would like to predict how the QoE can change as a consequence of a new network management alternative.To perform prediction, the problem is that the network operator first needs to know how the KPIs would change due to the alternative, and then find a way to derive (say mathematically) the QoE from the new KPIs.The contribution of this paper is a simulation/mathematical approach to solving the problem. First,  a simulation method is introduced to know how the KPIs would change as a consequence of the new alternative, and then a valid KPI/QoE mathematical relationship is introduced to derive the new QoE from the new KPIs.The paper is organized as follows: in Section 1 an introduction is given to the definition of QoE in Video streaming. In Section 2  the status of the art from the literature on the KPI/QoE mathematical models is dealt with, and a valid model is identified that derives the Video streaming QoE from the network KPIs. In Section 3, a simulated network is introduced to know how the KPIs would change as a consequence of a new network management alternative.  Finally, Section 4 uses the identified mathematical relationship to predict the Video streaming QoE from the measured KPIs.The considered application is an LTE (Long Term Evolution) network, but the approach can be extended to any communication network, wired or wireless from 3G onwards.
      PubDate: Tue, 06 Jun 2023 13:55:06 +000
       
  • Integration of Small Cells with Smart Antennas in Macrocells for Improving
           the Performance of Mobile Telephone Networks

    • Authors: Patrick Dany Bavoua Kenfack
      Abstract: In macrocellular networks, there are areas where it is difficult to have satisfactory connectivity. In practice, the delays for sending or downloading multimedia applications, or even consulting web applications can become quite long.One solution is to deploy cells with smaller ranges called small cells inside the macrocell, closer to subscribers in order to boost network capacity. Only, with the instability of electrical energy, the small cells may not be powered properly. A way should therefore be found to further reduce the energy consumption of small cells in order to facilitate their deployment in Cameroon. To do this, we opted for the solution of smart antennas to be integrated into the small cells; antennas that transmit at the request of users and according to their needs.In this work, we design and build an application that illustrates the performance of small cells with three key innovations: Smart antennas make it possible to estimate users’ directions and deliver a maximum radiation pattern in those directions, while minimizing interference. The capacity of a heterogeneous network is boosted compared to that of a homogeneous network. The signal attenuation in free space in a micro cell is a function of the user-small cell distance. The application that we propose is therefore a relevant decision-making tool for the engineering and planning of mobile networks.
      PubDate: Tue, 06 Jun 2023 13:32:16 +000
       
  • Reviewer Acknowledgements for Network and Communication Technologies Vol.
           8, No. 1

    • Abstract: Reviewer Acknowledgements for Network and Communication Technologies Vol. 8, No. 1, 2023.
      PubDate: Tue, 06 Jun 2023 13:20:46 +000
       
  • Analyzing Out-of-Domain Generalization Performance of Pre-Trained
           Segmentation Models

    • Authors: Johnson Zhong
      Abstract: Artists illustrate objects to various degrees of complexity. As the amount of detail or the similarity to reality of a depiction decreases, the object tends to be reduced to its simplest, most relevant higher-level features (Harrison, 1981). One of the reasons Deep Neural Networks (DNN) may fail to identify objects in an image is that models are unable to recognize the order of importance of features such as shape, depth, or color within an image, which means even the most minute distortions of pixels within an image that would be imperceptible to humans would greatly impact the performance of the object detection models (Eykholt et al., 2018). However, by training DNN on artworks where the most prominent features defining specific objects are emphasized, perhaps a model can be made to be more resilient against small-scale changes in an image. In this paper, the correlation between the level of similarity to reality of images and artworks of an object and the accuracy of object detection models is investigated to test the ability of object detection models in identifying the most salient features of a particular object. The results of this report can help outline the efficacy of models only trained on real images in identifying increasingly abstract artworks that have simplified an object to its most prominent features. The experiment shows that the accuracies of models decrease as the images or illustrations provided become more abstract or simplified, which suggests the higher level features that identify a particular object are different in object detection models and humans.
      PubDate: Fri, 17 Feb 2023 04:51:54 +000
       
 
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Publisher: CCSE   (Total: 43 journals)   [Sort by number of followers]

Showing 1 - 40 of 40 Journals sorted alphabetically
Applied Physics Research     Open Access   (Followers: 9)
Asian Culture and History     Open Access   (Followers: 12)
Asian Social Science     Open Access   (Followers: 5)
Cancer and Clinical Oncology     Open Access   (Followers: 9)
Computer and Information Science     Open Access   (Followers: 15)
Earth Science Research     Open Access   (Followers: 8)
Energy and Environment Research     Open Access   (Followers: 14)
Engineering Management Research     Open Access   (Followers: 6)
English Language and Literature Studies     Open Access   (Followers: 18)
English Language Teaching     Open Access   (Followers: 32)
Environment and Natural Resources Research     Open Access   (Followers: 6)
Environment and Pollution     Open Access   (Followers: 10)
Global J. of Health Science     Open Access   (Followers: 6, SJR: 0.416, CiteScore: 1)
Higher Education Studies     Open Access   (Followers: 68)
Intl. Business Research     Open Access   (Followers: 6)
Intl. J. of Biology     Open Access   (Followers: 1)
Intl. J. of Business and Management     Open Access   (Followers: 15)
Intl. J. of Chemistry     Open Access   (Followers: 10)
Intl. J. of Economics and Finance     Open Access   (Followers: 13)
Intl. J. of English Linguistics     Open Access   (Followers: 11)
Intl. J. of Marketing Studies     Open Access   (Followers: 13)
Intl. J. of Psychological Studies     Open Access   (Followers: 4)
Intl. J. of Statistics and Probability     Open Access   (Followers: 3)
Intl. Law Research     Open Access   (Followers: 1)
J. of Agricultural Science     Open Access   (Followers: 5)
J. of Education and Learning     Open Access   (Followers: 2)
J. of Educational and Developmental Psychology     Open Access   (Followers: 15)
J. of Food Research     Open Access   (Followers: 3)
J. of Geography and Geology     Open Access   (Followers: 12)
J. of Materials Science Research     Open Access   (Followers: 9)
J. of Mathematics Research     Open Access  
J. of Molecular Biology Research     Open Access   (Followers: 4)
J. of Plant Studies     Open Access   (Followers: 1)
J. of Politics and Law     Open Access   (Followers: 9)
J. of Sustainable Development     Open Access   (Followers: 25)
Mechanical Engineering Research     Open Access   (Followers: 20)
Modern Applied Science     Open Access   (Followers: 1)
Network and Communication Technologies     Open Access   (Followers: 4)
Public Administration Research     Open Access   (Followers: 2)
Review of European Studies     Open Access   (Followers: 13)
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Edinburgh, EH14 4AS, UK
Email: journaltocs@hw.ac.uk
Tel: +00 44 (0)131 4513762
 


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