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International Journal of Humanitarian Technology
Number of Followers: 0  
  Hybrid Journal Hybrid journal (It can contain Open Access articles)
ISSN (Print) 2056-6549 - ISSN (Online) 2056-6557
Published by Inderscience Publishers Homepage  [436 journals]
  • Usable technology for the differently abled-hearing impairment
    • Authors: Chitralekha Bhat, Sunil Kumar Kopparapu
      Pages: 3 - 18
      Abstract: Hearing loss poses a serious challenge to access information that are in the form of audio or video on the internet. Text subtitles or closed captioning is a popular mechanism to make the audio embedded in the videos accessible to the hearing impaired. Alternatively, a sign language interpreter may translate the audio into sign language gestures. However, these aids are either expensive or technologically infeasible. In this paper, we propose a technique to enable a person with hearing impairment <i>see</i> the audio. The novel assistive tool is envisioned as a visual aid for the hearing impaired to comprehend the audio contained in a video. The tool produces a speech synchronised visual lip movement sequence for a video. The lip movement sequence is then superimposed onto and displayed along with the original video. A number of experiments have been conducted to determine the feasibility and usefulness of the proposed visual aid.
      Keywords: usable technology; assistive technology; hearing impaired; visual audio
      Citation: International Journal of Humanitarian Technology, Vol. 1, No. 1 (2018) pp. 3 - 18
      PubDate: 2018-03-09T23:20:50-05:00
      DOI: 10.1504/IJHT.2018.090285
      Issue No: Vol. 1, No. 1 (2018)
  • Cancer tissue sample classification using point symmetry-based
           clustering algorithm
    • Authors: Sudipta Acharya, Sriparna Saha
      Pages: 19 - 39
      Abstract: Clustering or unsupervised classification techniques can be used to solve different types of classification problems of different domains. Symmetry is an important property for any real life object. Therefore, symmetry-based distance measurements play some important roles in identifying some patterns or clusters of real life datasets. In this paper, inspired by the symmetric property, we have proposed a point symmetry-based clustering algorithm which has been used to identify clusters of tissue samples from some real life cancer datasets. Our proposed algorithm is also multi-objective-optimisation (MOO) based, i.e., optimises more than one objectives simultaneously. We have also shown the superiority of our proposed algorithm with respect to some state-of-the-art clustering algorithms.
      Keywords: multi-objective-optimisation; MOO; clustering; AMOSA; gene marker; point symmetry-based distance; ARI index; %CoA index
      Citation: International Journal of Humanitarian Technology, Vol. 1, No. 1 (2018) pp. 19 - 39
      PubDate: 2018-03-09T23:20:50-05:00
      DOI: 10.1504/IJHT.2018.090282
      Issue No: Vol. 1, No. 1 (2018)
  • Design of near optimal user interface with minimal UI elements using
           evidence based recommendations and multi criteria decision making: TOPSIS
    • Authors: Subbiah Vairamuthu, S. Margret Anouncia
      Pages: 40 - 65
      Abstract: One among the research challenges in human computer interaction (HCI) is to build user interfaces in the way that make users satisfy. This would improve the usability of an information system. In general, usability is one of the non-functional requirements which decides the acceptability. Usability factors when not considered properly during interaction design will lead spending more cost and time for any organisation. Simple interaction styles with guiding user interface components for navigations will improve the users' interaction. The improved interaction thus would facilitate in improving the users satisfaction towards using any information system. In this work, it has been attempted to recommend designers to build user interface with minimal components without compensating the effectiveness. For this process, the multi criteria decision making (MCDM) approach technique for order preference by similarity to ideal solution (TOPSIS) was employed in this work.
      Keywords: human computer interaction; HCI; user interface; TOPSIS; multi criteria decision making; MCDM; interaction styles; positive ideal solution; PIS; negative ideal solution; NIS
      Citation: International Journal of Humanitarian Technology, Vol. 1, No. 1 (2018) pp. 40 - 65
      PubDate: 2018-03-09T23:20:50-05:00
      DOI: 10.1504/IJHT.2018.090291
      Issue No: Vol. 1, No. 1 (2018)
  • Evaluating the feasibility of maintaining Web 2.0 communications during
           civil emergencies
    • Authors: James Meneghello, Kevin Lee
      Pages: 66 - 82
      Abstract: Maintaining communications across disconnected networks can be a troubling issue, particularly since existing solutions are highly theoretical or have unrealistic hardware requirements. As a result, CANDICE was designed with the aim of allowing extensible accessible facilitation of internet connections in environments not suited to reliable communications - particularly hostile zones. Unfortunately, current web development trends (including a heavier emphasis on user interaction and asynchronous data transfer) ensure that less useful content is accessible without an uninterrupted internet connection. By evaluating the operation of CANDICE in retrieving popular websites, types of content that are well-suited to transmission over disrupted networks can be determined.
      Keywords: networking; internet and communications; disconnected networks; Web 2.0; fault tolerance
      Citation: International Journal of Humanitarian Technology, Vol. 1, No. 1 (2018) pp. 66 - 82
      PubDate: 2018-03-09T23:20:50-05:00
      DOI: 10.1504/IJHT.2018.090284
      Issue No: Vol. 1, No. 1 (2018)
  • Augmenting WAMPAC with machine learning tools for early warning and
           mitigation of blackout events
    • Authors: Sudha Gupta, Faruk Kazi, Sushama Wagh, Navdeep Singh
      Pages: 83 - 100
      Abstract: The development of phasor measurement unit (PMU) in the power network and availability of real-time communication in wide area monitoring system has enabled the proactive blackout prediction and possibility of mitigation against blackout events. The objective of this paper is to provide a wide area monitoring protection and control (WAMPAC) model which can predict cascade failure and minimise the risk of massive blackout. The proposed model is a combination of simulation and a measurement-based approach. The key contribution of this paper is a topological analysis of grid using graph theoretic approach, blackout prediction using machine learning technique and the mitigation plan against blackout by combining graph theoretic approach and change in voltage phase angle at different buses. The proposed methodology is validated using IEEE 30 bus system.
      Keywords: blackout prediction; cascade failure; grid topology; neural network; NN; phasor measurement unit; PMU; phasor data concentrator; PDC; probability distribution; wide area monitoring protection and control; WAMPAC
      Citation: International Journal of Humanitarian Technology, Vol. 1, No. 1 (2018) pp. 83 - 100
      PubDate: 2018-03-09T23:20:50-05:00
      DOI: 10.1504/IJHT.2018.090283
      Issue No: Vol. 1, No. 1 (2018)
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