MiPSCom: A Novel Content-Based Publish/Subscribe Communication Model for Wireless Sensor Networks

No Abstrac

A Comprehensive Review of Mobile User Interfaces in mHealth applications for elderly and the related ageing barriers

Purpose: The adoption of mobile health technology can assist in enhancing the quality of life of elderly people. Over the last few years, though mHealth research has expanded, the usage of mHealth applications among elderly is still minimal. This study aims to evaluate mobile User Interfaces in mHealth applications and elicit the key ageing barriers that limit the use of such apps amongst the elderly. Methods: The Preferred Reporting Items for Systematic reviews and Meta-Analyses (PRISMA) technique was used whereby 28 papers were identified and examined out of 742. In addition to the systematic review, an experiment of using 5 existing mHealth apps, was conducted with 10 individuals within the age-group of 60-79 to determine additional ageing barriers and usage challenges. The Questionnaire for User Interface Satisfaction (QUIS) approach was used to prepare a questionnaire to assess the overall system satisfaction and was provided to participants after one week of usage. Results: In this work, issues with the user interface that impact the elderly have been highlighted. Three important ageing barriers hindering the use of mHealth among the elderly have been identified via PRISMA, namely: physical, cognitive and perspective. Empirical findings from the experiment carried out further consolidate the findings obtained from the PRISMA approach. Conclusion: This study's investigation emphasised on the performance of older persons with mHealth apps, their needs, and the challenges they confront when adopting mHealth technologies. As a result, technology designers will benefit from this information when developing and designing mHealth apps and services that are suitable for older adults

A Web Based Belief Rule Based Expert System to Predict Flood

Natural calamity disrupts our daily life and brings many sufferings in our life. Among the natural calamities, flood is one of the most catastrophic. Predicting flood helps us to take necessary precautions and save human lives. Several types of data (meteorological condition, topography, river characteristics, and human activities) are used to predict flood water level in an area. In our previous works, we proposed a belief rule based flood prediction system in a desktop environment. In this paper, we propose a web-service based flood prediction expert system by incorporating belief rule base with the capability of reading sensor data such as rainfall, river flow on real time basis. This will facilitate the monitoring of the various flood-intensifying factors, contributing in increasing the flood water level in an area. Eventually, the decision makers would able to take measures to control those factors and to reduce the intensity of flooding in an area.Godkänd; 2015; 20151014 (karand)A belief-rule-based DSS to assess flood risks by using wireless sensor network