Abstract: In the world of having everything in our pocket, we have developed a technology (product) which leverages the power of networking, artificial intelligence, data mining in a single package to revolutionize the traditional way of handling health data. Using the most convenient way of interacting with a device which is voice recognition we are trying to eliminate a range of documents, which leads to minimum human interference in the whole process of healthcare and we are collecting unstructured health data of a consumer (patient). Hence, by applying techniques of Natural Language Processing we are analyzing and extracting meaningful data from the narrated input. Our algorithm will enable clinicians to retrieve the information of a patient in the most precise format. Our product facilitates one another part of recognizing consumers’ health-related need and suggest suitable, trusted and predicted (easily available) solution for it using well organized pharmaceutical data set. For a massiv

• Publication Date: 29-Apr-2018
• DOI: 10.15224/978-1-63248-149-8-19
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Abstract: Digital Elevation Model (DEM) is a digital model representation of the surface of a terrain. It consists of elevation values sampled at regular intervals which could be used to study vast types of phenomena across spatial positions. However, acquisition of DEM data in continuous sequences at very high spatial resolution is very costly from the point of cost, manpower, and storage requirement. In this paper, we propose a method to visualize the morphological changes for a same area over a period using two DEM images. Through mathematical morphology approach, the interpolated sequences between these pair of DEMs are hierarchically generated. These set of hierarchically interpolated medians paves a way to visualize the spatiotemporal changes which have happened in a particular area at discrete-time intervals. The potential application which we could implement the proposed framework include natural disaster surveillance and monitoring (eg. Landslide, flood, earthquake).

• Publication Date: 29-Apr-2018
• DOI: 10.15224/978-1-63248-149-8-20
• Views: 0
• Downloads: 0