Forthcoming and Online First Articles

International Journal of Intelligent Defence Support Systems

International Journal of Intelligent Defence Support Systems (IJIDSS)

Forthcoming articles have been peer-reviewed and accepted for publication but are pending final changes, are not yet published and may not appear here in their final order of publication until they are assigned to issues. Therefore, the content conforms to our standards but the presentation (e.g. typesetting and proof-reading) is not necessarily up to the Inderscience standard. Additionally, titles, authors, abstracts and keywords may change before publication. Articles will not be published until the final proofs are validated by their authors.

Forthcoming articles must be purchased for the purposes of research, teaching and private study only. These articles can be cited using the expression "in press". For example: Smith, J. (in press). Article Title. Journal Title.

Articles marked with this shopping trolley icon are available for purchase - click on the icon to send an email request to purchase.

Online First articles are published online here, before they appear in a journal issue. Online First articles are fully citeable, complete with a DOI. They can be cited, read, and downloaded. Online First articles are published as Open Access (OA) articles to make the latest research available as early as possible.

Open AccessArticles marked with this Open Access icon are Online First articles. They are freely available and openly accessible to all without any restriction except the ones stated in their respective CC licenses.

Register for our alerting service, which notifies you by email when new issues are published online.

We also offer which provide timely updates of tables of contents, newly published articles and calls for papers.

International Journal of Intelligent Defence Support Systems (1 paper in press)

Regular Issues

  • IoT Services and Deep Learning Techniques for an On-site Facial Recognition Security System   Order a copy of this article
    by Amlan Mohanty, Rakesh Kumar Lenka 
    Abstract: Security is a primary concern today for any organization. With the advancement in technology, newer and more effective security systems and solutions are being put to use, making it tougher to breach and easier to manage. The Internet of Things (IoT) is a bridge between machines and the hub of all data the Internet. A potent security model is a real-time Face Recognition system. This research tries to put forth a model of an effective and smart security structure using IoT services and face recognition technology. IoT devices have been used along with the Intel Neural Compute Stick2. Deep Learning and DNN concepts are implemented for the face recognition algorithm for their effectiveness over other algorithms. The Caffe detector is used for localizing faces, followed by creating face embedding by implementing Deep Metric Learning and Triplet Loss concepts. Finally, we have used the Support Vector Machine Classifier for recognizing the faces.
    Keywords: Internet of Things; Face Recognition; Deep Learning; Deep Neural Network; Face Identification and Security.