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International Journal of Information Technology, Communications and Convergence
Number of Followers: 15  Hybrid journal * Containing 1  Open Access article(s) in this issue *ISSN (Print) 2042-3217 - ISSN (Online) 2042-3225 Published by Inderscience Publishers  [439 journals]
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- Architecture and framework for data acquisition in cloud robotics
Open Access Article-
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Authors: Y. Watanobe, Y. Yaguchi, K. Nakamura, T. Miyaji, R. Yamada, K. Naruse
Pages: 1 - 25
Abstract: This study explores a data acquisition architecture and framework in cloud robotics. In cloud robotics environments, software components play important roles by acquiring data from heterogeneous devices and then performing context-aware computing with the help of knowledge bases organised by the data. However, there are numerous tasks that must be performed to create such components, and their corresponding database schemas, services, and repositories, and these tasks can be burdensome for developers. In this paper, an architecture and framework for constructing a data acquisition system are presented as a theory and a concrete implementation, respectively. Our proposed architecture enables developers to construct a robot environment with data acquisition functionalities by defining scenarios in an ontology language, as well as by defining objects and services in modern programming languages. The framework is realised in a way that allows it to automatically generate the required software components and their corresponding repositories, which are deployed on the cloud. Case studies showcasing the proposed framework are also presented.
Keywords: cloud robotics; architecture; data acquisition; robotics technology components
Citation: International Journal of Information Technology, Communications and Convergence, Vol. 4, No. 1 (2021) pp. 1 - 25
PubDate: 2021-11-22T23:20:50-05:00
DOI: 10.1504/IJITCC.2021.119082
Issue No: Vol. 4, No. 1 (2021)
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- Performance analysis of IoT-WBAN-based health monitoring system
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Authors: Sonal, S.R.N. Reddy, Dinesh Kumar
Pages: 26 - 46
Abstract: Demands of smart health monitoring have been made possible through the integration of various emerging technologies. This paper introduces the idea of remote smart health monitoring utilising three-tiered network architecture focused on IoT-WBAN, coupled with the scenario of real-time implementation. The tier-I encompasses multiple physiological parameters sensing in a network by several sensor nodes, together with its timely transmission to the coordinator node. Tier-II incorporates the base station concept, and tier-III incorporates cloud connectivity to include remote smart health monitoring and consultancy framework. Developed network sensor nodes have been deployed in remote healthcare centres to measure patients' physiological parameters and the measured parameters can be accessed in primary healthcare centres. The repository of data, authentication of users and professional along with remote feedback from specialists sitting in distant areas facilitates global system acceptance. Apart from these, different issues are resolved during packet transmission to attain maximum efficiency and secure data communication.
Keywords: IoT-WBAN-based network architecture; network deployment; performance analysis
Citation: International Journal of Information Technology, Communications and Convergence, Vol. 4, No. 1 (2021) pp. 26 - 46
PubDate: 2021-11-22T23:20:50-05:00
DOI: 10.1504/IJITCC.2021.119093
Issue No: Vol. 4, No. 1 (2021)
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- E-learning platforms and security mechanisms used by educational
institutions in Kampala, Uganda-
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Authors: Hilda Mpirirwe, Drake Patrick Mirembe, Jude Lubega, Joab E. Agaba
Pages: 47 - 62
Abstract: COVID-19 pandemic accelerated consumptions of e-services in the Ugandan education sector. This study aims at establishing the type of e-learning platforms adopted by educational institutions in Kampala and evaluate the appropriateness of their security mechanisms for online academic progression assessments. The researcher's adopted a mixed-method research approach for data collection and analysis. Respondents were identified using purposive stratified random sampling technique from educational institutions accredited by the Ugandan Ministry of Education and Sports to run 'open distance e-learning'. A total of 400 responded including e-learning experts, teachers and lecturers, and students. The results show that the <i>most popular</i> e-learning platforms were Zoom (87.5%) at primary, Google meet (84.1%) at secondary, WhatsApp (79.7) at secondary and Moodle (98.7%) at university. The e-learning platforms were mainly used for posting learning materials and facilitating teacher-student interactions (97.9%), but less on managing assessment for <i>academic progression</i> [universities (73.9%), secondary (50.7%) and primary (41.7%)].
Keywords: e-learning; e-assessment; COVID-19 pandemic; authentication; integrity; impersonation; Uganda
Citation: International Journal of Information Technology, Communications and Convergence, Vol. 4, No. 1 (2021) pp. 47 - 62
PubDate: 2021-11-22T23:20:50-05:00
DOI: 10.1504/IJITCC.2021.119110
Issue No: Vol. 4, No. 1 (2021)
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- Lexicon-based sentiment analysis on movie review in the Gujarati
language-
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Authors: Parita Shah, Priya Swaminarayan
Pages: 63 - 72
Abstract: Film assessment helps watchers with choosing if the film merits their time. A rundown of all surveys for a film can help watchers to make a suitable selection without the wastage of users' time by considering all checks. For the assistant of viewers, cinema review pages are available with film critics offered by various cinema experts. Sentiment examination can decide the mentality of experts relying upon their audits. The process of film review categorisation into positive and negative grade is called movie review sentiment analysis. Therefore, this paper presents our exploratory work on execution assessment of the SentiWordNet approach for record level estimation characterisation of movie surveys available in the Gujarati language. The paper additionally presents an evaluative record of the execution of the resource-based film sentiment classification using the GujaratiSentiWordNet (BagofWords) technique for the movie review dataset created in the Gujarati language.
Keywords: GujaratiSentimentWordNet; Hindi SentiWordNet; IndoWordNet; Gujarati dataset; sentiment analysis; natural language processing; lexicon-based
Citation: International Journal of Information Technology, Communications and Convergence, Vol. 4, No. 1 (2021) pp. 63 - 72
PubDate: 2021-11-22T23:20:50-05:00
DOI: 10.1504/IJITCC.2021.119111
Issue No: Vol. 4, No. 1 (2021)
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- Evolution of mobile payment systems and level of security awareness among
mobile money users in Uganda-
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Authors: Job Matovu, Drake Patrick Mirembe, Odongo Steven Eyobu
Pages: 73 - 94
Abstract: This study investigates the evolution of mobile payment systems, desired security requirements and the level of security awareness and practices among mobile money users in Uganda. Through a mix-research approach for data collection and analysis methods, 465 participants responded to the study (460 mobile money users and five cyber security experts). The study revealed that: 1) about 45% of mobile money end customers share personal identification number (PIN) compared to 29% of the agents; 2) majority of mobile money users do not have formal training in cyber security thus lack necessary knowledge and skills to protect their information and transactions; 3) the level of education of mobile money users directly proportional to improved security practices and behaviours. The authentication protocol on withdraw transaction is very weak. The study proposes a role-based security enhancement framework for users of the mobile money system to mitigate these security concerns.
Keywords: mobile payment systems; transaction fabrication attacks; mobile security; Uganda
Citation: International Journal of Information Technology, Communications and Convergence, Vol. 4, No. 1 (2021) pp. 73 - 94
PubDate: 2021-11-22T23:20:50-05:00
DOI: 10.1504/IJITCC.2021.119112
Issue No: Vol. 4, No. 1 (2021)
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