1,769 research outputs found
Direct inference of location-related context from wireless signal strength
No full textIn this dissertation we derive location-related context likemobility-states, co-mobility, speed and decelerations directly from the wireless signal strength information. The key insight is that the time-series of signal strength is robust to environmental factors that typically negatively affect the RSS-based localization systems. Therefore, inferring these physical properties directly from the time-series of wireless signal strength is more accurate than deriving them from location estimates. We apply correlation and time warping algorithms to the time series of wireless signals
to infer these properties. Our trace-driven experimental approach shows that our inference techniques can work with minimal infrastructure, are computationally efficient, requires no explicit user participation and can produce higher accuracies than location-based systems. We have also experimentally identified the factors that limit the accuracy of indoor localization and
have proved the existing assumptions behind theoretical lower bounds of indoor localization
incorrect. Our results will enable new context aware applications, because accurate estimates of comobility
and speed offer a richer set of primitives available to applications. Such applications can derive user mobility states like walking, running, driving or social states, such as if a user is in a meeting or alone.Ph.D.Includes bibliographical referencesIncludes vitaby Gayathri Chandrasekara
Supplemental Material1 - Supplemental material for Mass spectral analysis of acetylated peptides: Implications in proteomics
No full textSupplemental material, Supplemental Material1 for Mass spectral analysis of acetylated peptides: Implications in proteomics by Deepika Chandra, P Gayathri, Mudita Vats, R Nagaraj, MK Ray and MV Jagannadham in European Journal of Mass Spectrometry</p
Supplemental Material4 - Supplemental material for Mass spectral analysis of acetylated peptides: Implications in proteomics
No full textSupplemental material, Supplemental Material4 for Mass spectral analysis of acetylated peptides: Implications in proteomics by Deepika Chandra, P Gayathri, Mudita Vats, R Nagaraj, MK Ray and MV Jagannadham in European Journal of Mass Spectrometry</p
Supplemental Material2 - Supplemental material for Mass spectral analysis of acetylated peptides: Implications in proteomics
No full textSupplemental material, Supplemental Material2 for Mass spectral analysis of acetylated peptides: Implications in proteomics by Deepika Chandra, P Gayathri, Mudita Vats, R Nagaraj, MK Ray and MV Jagannadham in European Journal of Mass Spectrometry</p
Supplemental Material3 - Supplemental material for Mass spectral analysis of acetylated peptides: Implications in proteomics
No full textSupplemental material, Supplemental Material3 for Mass spectral analysis of acetylated peptides: Implications in proteomics by Deepika Chandra, P Gayathri, Mudita Vats, R Nagaraj, MK Ray and MV Jagannadham in European Journal of Mass Spectrometry</p
Wastewater treatment and reuse: an institutional analysis for Hyderabad, India
Get PDFRiver basinsWater pollutionSewageEffluentsPollution controlLegislationWaste managementWater qualityGuidelinesWastewater irrigationHealth hazardsRiceGrassesInstitutional reformCase studies
Melt Functionalization of Linear Low-Density Poly(ethylene) with Succinimide and N-Hydroxy Succinimide by Thermolysis Method
No full textGenerative AI
No full textThis book is essential for anyone eager to understand the groundbreaking advancements in generative AI and its transformative effects across industries, making it a valuable resource for both professional growth and creative inspiration. Generative AI: Disruptive Technologies for Innovative Applications delves into the exciting and rapidly evolving world of generative artificial intelligence and its profound impact on various industries and domains. This comprehensive volume brings together leading experts and researchers to explore the cutting-edge advancements, applications, and implications of generative AI technologies. This volume provides an in-depth exploration of generative AI, which encompasses a range of techniques such as generative adversarial networks, recurrent neural networks, and transformer models like GPT-3. It examines how these technologies enable machines to generate content, including text, images, and audio, that closely mimics human creativity and intelligence. Readers will gain valuable insights into the fundamentals of generative AI, innovative applications, ethical and social considerations, interdisciplinary insights, and future directions of this invaluable emerging technology. Generative AI: Disruptive Technologies for Innovative Applications is an indispensable resource for researchers, practitioners, and anyone interested in the transformative potential of generative AI in revolutionizing industries, unleashing creativity, and pushing the boundaries of what’s possible in artificial intelligence. Audience AI researchers, industry professionals, data scientists, machine learning experts, students, policymakers, and entrepreneurs interested in the innovative field of generative AI
Book review: Unsustainable inequalities: social justice and the environment by Lucas Chancel
No full textIn Unsustainable Inequalities: Social Justice and the Environment, Lucas Chancel demonstrates the role that economic inequality plays in maintaining social injustice and environmental unsustainability, exploring ways to better balance the reduction of socio-economic inequality and the strengthening of environmental protections. This is an accessible, relevant and thought-provoking analysis that uses well-presented facts and figure to unpack the intricate relationship between social injustice and environmental harm, finds Gayathri D. Naik. If you are interested in this book, you can listen to or watch author Lucas Chancel in conversation with LSE’s Dr Alina Averchenkova, recorded at an October 2020 online event hosted by LSE’s International Inequalities Institute. Unsustainable Inequalities: Social Justice and the Environment. Lucas Chancel. Harvard University Press. 2020
Book review: Unsustainable inequalities: social justice and the environment by Lucas Chancel
No full textIn Unsustainable Inequalities: Social Justice and the Environment, Lucas Chancel demonstrates the role that economic inequality plays in maintaining social injustice and environmental unsustainability, exploring ways to better balance the reduction of socio-economic inequality and the strengthening of environmental protections. This is an accessible, relevant and thought-provoking analysis that uses well-presented facts and figure to unpack the intricate relationship between social injustice and environmental harm, finds Gayathri D. Naik. If you are interested in this book, you can listen to or watch author Lucas Chancel in conversation with LSE’s Dr Alina Averchenkova, recorded at an October 2020 online event hosted by LSE’s International Inequalities Institute. Unsustainable Inequalities: Social Justice and the Environment. Lucas Chancel. Harvard University Press. 2020
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