Amarjeet Singh

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The need for efficient monitoring of spatio-temporal dynamics in large environmental applications, such as the water quality monitoring in rivers and lakes, motivates the use of robotic sensors in order to achieve sufficient spatial coverage. Typically, these robots have bounded resources, such as limited battery or limited amounts of time to obtain(More)
Non-intrusive load monitoring, or energy disaggregation, aims to separate household energy consumption data collected from a single point of measurement into appliance-level consumption data. In recent years, the field has rapidly expanded due to increased interest as national deployments of smart meters have begun in many countries. However, empirically(More)
A broad range of embedded networked sensor (ENS) systems for critical environmental monitoring applications now require complex, high peak power dissipating sensor devices, as well as on-demand high performance computing and high bandwidth communication. Embedded computing demands for these new platforms include support for computationally intensive image(More)
When monitoring spatial phenomena, such as the ecological condition of a river, deciding where to make observations is a challenging task. In these settings, a fundamental question is when an active learning, or sequential design, strategy, where locations are selected based on previous measurements, will perform significantly better than sensing at an a(More)
Many robotic path planning applications, such as search and rescue, involve uncertain environments with complex dynamics that can be only partially observed. When selecting the best subset of observation locations subject to constrained resources (such as limited time or battery capacity) it is an important problem to trade off exploration (gathering(More)
A descriptive epidemiological study of fungal rhinosinusitis (FRS) was conducted in rural north India in the form of house-to-house survey of villages of two districts each of Punjab and Haryana provinces using a clinical case definition of chronic rhinosinusitis (CRS). The suspected cases were investigated further in the laboratory to confirm FRS. Air and(More)
Inferring human activity is of interest for various ubiquitous computing applications, particularly if it can be done using ambient information that can be collected non intrusively. In this paper, we explore human activity inference, in the context of energy consumption within a home, where we define an "activity" as the usage of an electrical appliance,(More)
OBJECTIVE To compare the effect of 2 packages of pelvic floor muscle training (PFMT) on the clinical course of pelvic organ prolapse (POP) among women attending a gynecology outpatient department in Chandigarh, India. METHODS A randomized controlled trial was conducted between August 8, 2010, and October 31, 2011. Overall, 140 women with stage I-III POP(More)
In developing regions like India, voice based telecommunication services are one of the most appropriate medium for information dissemination as they overcome prevalent low literacy rate. However, voice based Interactive Voice Response (IVR) systems are still not exploited to their full potential and are commonly considered as frustrating to use. We did a(More)
Residential buildings contribute significantly to the overall energy usage across the world. Real deployments, and collected data thereof, play a critical role in providing insights into home energy consumption and occupant behavior. Existing datasets from real residential deployments are all from the developed countries. Developing countries, such as(More)