No abstract

In developing countries, majority of the households use overhead water tanks to have running water. These water tanks are exposed to the elements, which usually render the tap water uncomfortable to use, given the extreme subtropical weather conditions. Externally weatherproofing these tanks to maintain the groundwater temperature is short-lived, and only results in a marginal (0.5–1 °C) improvement in tap water temperature. We propose Ashray , an IoT-inspired, intelligent system to minimize the exposure of water to the elements thereby maintaining its temperature close to that of the groundwater. Ashray learns the water demand patterns of a household and pumps water into the overhead tank only when necessary. The predictive, machine learning based, approach of Ashray improves water comfort by up to 8 °C in summers and 3 °C in winters, on average. Ashray is retrofitted into existing infrastructure with a hardware prototyping cost of $27, whereas it can save up to 16% on water heating costs, through reduction in natural gas consumption, by leveraging groundwater temperature. Moreover, we also consider a transiently-powered Ashray which uses the energy harvested from the ambient environment, and propose an intermittent data pipeline to improve its prediction accuracy. The transiently-powered Ashray is suitable for long-term deployment, requires minimal maintenance and delivers approximately the same performance. Ashray has the potential to improve the thermal comfort and reduce energy costs for millions of households in developing countries.

No abstract

According to a recent statistical analysis conducted in 2018, more than 40% of the population has no reading or writing skills especially in rural areas of Pakistan. On the contrary, the mobile phone users have grown at a very steep rate even with a stagnant literacy rate. We formed a user-driven approach to research, develop and test a prototype mobile application that could be used to teach illiterates basic reading, writing and counting skills without using traditional schooling techniques. This first of a kind application provided the user the ability to customize their own learning plan. Focusing on native language Urdu, the application teaches them the required skill they need for daily life activities such as writing their own name, scenario-based calculations, identifying commonly used words.