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

Showing 1 - 43 of 43 Journals sorted alphabetically
Applied Physics Research     Open Access   (Followers: 6)
Asian Culture and History     Open Access   (Followers: 17)
Asian Social Science     Open Access   (Followers: 8)
Cancer and Clinical Oncology     Open Access   (Followers: 9)
Computer and Information Science     Open Access   (Followers: 14)
Earth Science Research     Open Access   (Followers: 10)
Energy and Environment Research     Open Access   (Followers: 13)
Engineering Management Research     Open Access   (Followers: 7)
English Language and Literature Studies     Open Access   (Followers: 22)
English Language Teaching     Open Access   (Followers: 32)
Environment and Natural Resources Research     Open Access   (Followers: 7)
Environment and Pollution     Open Access   (Followers: 12)
Global J. of Health Science     Open Access   (Followers: 10, SJR: 0.416, CiteScore: 1)
Higher Education Studies     Open Access   (Followers: 66)
Intl. Business Research     Open Access   (Followers: 7)
Intl. Education Studies     Open Access   (Followers: 10)
Intl. J. of Biology     Open Access   (Followers: 2)
Intl. J. of Business and Management     Open Access   (Followers: 20)
Intl. J. of Chemistry     Open Access   (Followers: 12)
Intl. J. of Economics and Finance     Open Access   (Followers: 17)
Intl. J. of English Linguistics     Open Access   (Followers: 12)
Intl. J. of Marketing Studies     Open Access   (Followers: 21)
Intl. J. of Psychological Studies     Open Access   (Followers: 6)
Intl. J. of Statistics and Probability     Open Access   (Followers: 5)
Intl. Law Research     Open Access   (Followers: 2)
J. of Agricultural Science     Open Access   (Followers: 14)
J. of Education and Learning     Open Access   (Followers: 3)
J. of Educational and Developmental Psychology     Open Access   (Followers: 19)
J. of Food Research     Open Access   (Followers: 4)
J. of Geography and Geology     Open Access   (Followers: 15)
J. of Management and Sustainability     Open Access   (Followers: 8)
J. of Materials Science Research     Open Access   (Followers: 8)
J. of Mathematics Research     Open Access   (Followers: 6)
J. of Molecular Biology Research     Open Access   (Followers: 3)
J. of Plant Studies     Open Access   (Followers: 1)
J. of Politics and Law     Open Access   (Followers: 12)
J. of Sustainable Development     Open Access   (Followers: 30)
Mechanical Engineering Research     Open Access   (Followers: 19)
Modern Applied Science     Open Access   (Followers: 2)
Network and Communication Technologies     Open Access   (Followers: 4)
Public Administration Research     Open Access   (Followers: 1)
Review of European Studies     Open Access   (Followers: 12)
Sustainable Agriculture Research     Open Access   (Followers: 3)
Similar Journals
Journal Cover
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]
  • Reviewer Acknowledgements for Network and Communication Technologies Vol.
           4, No. 1

    • Abstract: Reviewer Acknowledgements for Network and Communication Technologies Vol. 4, No. 1, 2019.
      PubDate: Mon, 01 Jul 2019 04:25:53 +000
  • Research Study: Towards a Collaborative Trust-Based Debugging Model for
           the Telecom Industry

    • Abstract: This research presents the architecture of a collaborative troubleshooting platform to establish user trust by presenting practical scenarios of problem diagnosis using the technique of root-cause analysis in a high tech company in Silicon Valley. The study provides details of the implementation of debugging techniques within the field of telecommunication and demonstrates the feasibility of this problem-solving approach in a collaborative trouble-shooting platform to establish user trust.
      PubDate: Thu, 27 Jun 2019 13:05:57 +000
  • An Intelligent Dispatch System Operating in a Partially Closed Environment

    • Abstract: Taxicabs are very important in our daily lives and are reputed to be one of the mostly used forms of transportation. The cab dispatch system was first created to help passengers get through to taxi drivers and make it easier to book reservations. The evolution of cab dispatch system has moved from the ordinary callboxes to computer-aided dispatch system. These solutions were created to help organizations that own fleet of taxis manage and control their operations. Campuses and other partially closed environments also require these solutions but due to their high cost of implementation, they find it quite difficult to deploy and execute. In this paper, a smart dispatch system (SDS) is proposed. The system comprises of software and hardware units. The database and the android application make up the software unit while the microcontroller, the GSM module, and an android device constitute the hardware unit. The microcontroller intelligently reads and makes decisions based on the information received from the android device. The microcontroller also retrieves drivers’ details from a database where all the information about the vehicles and drivers are stored. The GSM module acts as the intermediary between the android device and the microcontroller, and enhances the communication between the microcontroller and other devices. The system makes use of a microcontroller that selects a driver and dispatches it based on the capacity of the vehicle corresponding to the number of passengers in need. Consequently, an android application is built to be used by the clients making the request process much easier. The proposed system reduces human operator intervention, gives the passengers the estimated time for the dispatched cab to arrive at their bus stops thereby satisfying the clients in terms of cost efficiency and improved quality of service.
      PubDate: Thu, 13 Jun 2019 02:39:45 +000
  • Secure Image Steganography Algorithm Using Radial Basis Function Neural

    • Abstract: Recently, ensuring the security of secret messages over computer networks has significantly increased in importance. For this reason, a new system is proposed that tries to hide text using Artificial Neural Network (ANN), and more precisely using Radial Based Function, with zero mean square error, in addition to encryption techniques, to make sure that the resulting text is exactly the same as the one that was sent.In this study the text is encrypted by an ordinary encryption algorithm, then the encrypted text will be embedded within the image and the positions of each encrypted text value will be determined, and in the last step the taken values (positions) will be encrypted using the neural network. The resulting encrypted text is unpredictable, making it very secure.On the receiver side, only the person, who has knowledge of the decryption key, neural network inputs P and parameters, will be able to see the original message embedded in the image.
      PubDate: Mon, 13 May 2019 13:41:15 +000
  • Comparation of LoRa and NB-IoT

    • Abstract: When people use Internet of Things (IoT), they should consider many factors, such as node cost, network cost, battery life, data transmission rate, delay, mobility, network coverage and deployment type. It can be said that no technology can satisfy all the needs of IoT. NB-IoT and LoRa technologies have different technical and commercial characteristics, so they differ in application scenarios. In this paper, the differences between the two will be elaborated.
      PubDate: Wed, 30 Jan 2019 06:29:59 +000
  • Fountain Codes and Linear Filtring to Mitigate Pilot Contamination Issue
           in Massive MiMo

    • Abstract: The fifth generation of cellular mobile (5G) is a future technology to meet growing capacity of users. For this prupose 5G will use advanced technologies. Very large multi- input multi- output or massive MiMo (m-MiMo) is considered as one of the promising technology. Nevertheless, the performance of m-MiMo is limited by pilot contamination issue. In fact, to mitigate pilot contamination issues in massive multi-input multi-output (m-MiMo), we proposed in previous work a new scheme where Raptor decoded symbols are used to estimate channel with Minimum Mean Square Error (MMSE) technique. The main benefit of this method is that the receiver does not need a transmitted pilot symbols to evaluate the channel, which allows saving power at transmission. The results showed that the MMSE scheme achieved the ideal case of the perfect channel. In this precedent paper, the MMSE detector and raptor code are used for their robustness among other schemes of linear detectors, and corrector codes, nevertheless, in case of m-MiMO, it was shown that all linear detectors work optimally. For this purpose, we include in this present article an additional linear filter to enhance the prior study, in which two supplementary detectors are considered, namely Zero Forcing (ZF) and Maximum Ratio Compression (MRC). The objective of this paper is to determine the ideal filtering technique and the robustness fountain code to address pilot contamination problem. In fact, the simulation results show that the ZF can attain the same ideal performance as the MMSE with raptor decoded symbols while MRC achieved lower performance compared to the other two shemes. 
      PubDate: Thu, 10 Jan 2019 13:24:14 +000
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Heriot-Watt University
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