251 research outputs found
Audio Based Location Fingerprinting for Mobile Devices
The main goal of the project is to enhance the context-awareness of cellular handsets by exploiting commonly available technologies/capabilities present on the devices. For instance, most cellular handsets today come with a variety of sensors and capabilities including location sensors, accelerometers, light sensors, cameras and high-fidelity speakers and microphones. By fusing information gathered from multiple sensors, cellular handsets can tailor their services based on the user's context.
Location is a major component of user's context. In open outdoor environments, Global Positioning System (GPS) can provide the needed location information to infer user's context. However, location information is not easy to obtain when the user is either indoors or in obstruction-laden outdoor terrain. Our goal in this project is to exploit other resources in cellular handsets to improve the location context of users in environments where GPS is not readily available. GPS is currently the most precise estimation of location.
Wi-Fi and Cell-Tower based location services are also currently available. They help determine the approximate location to the accuracy of approximately 100 meters. This is not very helpful when if we need to determine the user context within a building likes office or homes. The need to precisely determine location in an indoor environment by exploring readily available information from the surrounding is the main idea of the project.
There can be several uses of trying to estimate location indoors. The mobile devices can switch user modes when the user moves across a building from office suite to a conference suite, without the intervention of the user. Also other features like automatically connecting to wireless networks or syncing up emails to the local server in the building are some of the compelling advantages
Corrigendum to "Familial determinants of bone health parameters - a dual X-ray absorptiometry (DXA) and peripheral quantitative computed tomography (pQCT)-based parent and offspring study in rural Indian children" [Bone (2026), volume 202, article 117685].
The affiliation of the second author, Dr. Nikhil Shah, was listed incorrectly. His correct affiliations are “a” (Hirabai Cowasji Jehangir Medical Research Institute, Jehangir Hospital, Pune, India) and “d” (Department of Pediatric Endocrinology, MRR Children's Hospital, Mumbai)
EXTERNAL PHOTOEVAPORATION OF THE SOLAR NEBULA: JUPITER's NOBLE GAS ENRICHMENTS
abstract: We present a model explaining the elemental enrichments in Jupiter's atmosphere, particularly the noble gases Ar, Kr, and Xe. While He, Ne, and O are depleted, seven other elements show similar enrichments (~3 times solar, relative to H). Being volatile, Ar is difficult to fractionate from H[subscript 2]. We argue that external photoevaporation by far-ultraviolet (FUV) radiation from nearby massive stars removed H[subscript 2], He, and Ne from the solar nebula, but Ar and other species were retained because photoevaporation occurred at large heliocentric distances where temperatures were cold enough (lesssim 30 K) to trap them in amorphous water ice. As the solar nebula lost H, it became relatively and uniformly enriched in other species. Our model improves on the similar model of Guillot & Hueso. We recognize that cold temperatures alone do not trap volatiles; continuous water vapor production is also necessary. We demonstrate that FUV fluxes that photoevaporated the disk generated sufficient water vapor in regions [< over ~]30 K to trap gas-phase species in amorphous water ice in solar proportions. We find more efficient chemical fractionation in the outer disk: whereas the model of Guillot & Hueso predicts a factor of three enrichment when only <2% of the disk mass remains, we find the same enrichments when 30% of the disk mass remains. Finally, we predict the presence of ~0.1 M [subscript ⊕] of water vapor in the outer solar nebula and protoplanetary disks in H II regions.Copyright IOP Publishing. This is the authors' final, peer-reviewed manuscript. Monga, Nikhil, & Desch, Steven (2015). EXTERNAL PHOTOEVAPORATION OF THE SOLAR NEBULA: JUPITER's NOBLE GAS ENRICHMENTS. ASTROPHYSICAL JOURNAL, 798(1), 0-0. http://dx.doi.org/10.1088/0004-637X/798/1/9. The final version as published can be viewed online at http://dx.doi.org/10.1088/0004-637X/798/1/
Detection results of NMC particles in composite battery cathodes
This dataset shows more examples of the NMC particles detection overlayed with the original images in composite battery cathodes.
@journal{li2022networkevolution,
title={Dynamics of particle network in composite battery cathodes},
author={Li, Jizhou and Sharma, Nikhil and Jiang, Zhisen and Yang, Yang and Monaco, Federico and Xu, Zhengrui and Hou, Dong and Ratner, Daniel and Pianetta, Piero and Cloetens, Peter and Lin, Feng and Zhao, Kejie and Liu, Yijin},
year={2022},
journal={Science}
Pattern Discovery of Sequential Symbolic Data using Automata with an application to Author Identification
Author Identification is the process of identifying a piece of text to ascertain if it has an inherent writing style or pattern based on a certain author. Almost all literary books can be accredited to a certain author since it has been signed. However, there also exist a plethora of unfinished books or manuscripts that could be attributed to a range of possible authors. For example, William Shakespeare has written many plays that have not been signed by him. In order to assess the importance of such texts that do not bear the authors signature, it could be vital to know who was the writer. I plan to solve this dilemma using the characteristics of finite state automata coupled with the ALERGIA algorithm
Dynamics of particle network in composite battery cathodes
This repository contains the source codes for the study of active particle-network evolution in Ni-rich LiNi0.8Mn0.1Co0.1O2 (NMC) composite battery cathodes, as described in the following paper:
@journal{li2021networkevolution,
title={Dynamics of particle network in composite battery cathodes},
author={Li, Jizhou and Sharma, Nikhil and Jiang, Zhisen and Yang, Yang and Monaco, Federico and Xu, Zhengrui and Hou, Dong and Ratner, Daniel and Pianetta, Piero and Cloetens, Peter and Lin, Feng and Zhao, Kejie and Liu, Yijin},
year={2022},
journal={Science}
Citation Author Topic Model in Expert Search
This paper proposes a novel topic model, Citation-Author-Topic (CAT) model that addresses a semantic search task we define as expert search – given a research area as a query, it returns names of experts in this area. For example, Michael Collins would be one of the top names retrieved given the query Syntactic Parsing. Our contribution in this paper is two-fold. First, we model the cited author informa-tion together with words and paper au-thors. Such extra contextual information directly models linkage among authors and enhances the author-topic association, thus produces more coherent author-topic distribution. Second, we provide a prelim-inary solution to the task of expert search when the learning repository contains ex-clusively research related documents au-thored by the experts. When compared with a previous proposed model (Johri et al., 2010), the proposed model pro-duces high quality author topic linkage and achieves over 33 % error reduction evaluated by the standard MAP measure-ment.
Shear strengthening of prestressed concrete beams with UHPFRC – a numerical study
Accepted Author ManuscriptConcrete Structure
A numerical study of the thermal effects on local water bodies due to changes in the environment
The study of global warming and its effects is becoming increasingly popular due to steady increase in the environmental pollution. Local warming of a particular place which in turn contributes to the global warming can be studied through temperature variations of the local water bodies due to changes in the environment. In the present work, using the weather data obtained for New Brunswick, a general trend for variation in ambient temperature during the year is determined by fitting suitable curves using curve-fitting technique. Using this, the transient temperature distribution in the lake is determined numerically. The effect of many driving parameters such as ambient temperature, relative humidity, wind speed, solar flux, equilibrium temperature, diffusivity and surface heat loss on the temperatures of the lake are studied in detail using a one-dimensional transient model. The governing equations are solved numerically using finite differences method. The results of this work show the transient temperature distribution in the lake over the year and the variation in temperatures due to external changes in the environment.M.S.Includes bibliographical referencesby Nikhil Bharadwa
The case for a market for livers
Abstract. Liver transplantation is a necessary procedure to save the lives of thousands of people suffering from a multitude of diseases. Unfortunately, there are currently 14,301 individuals in the United States in dire need of a liver currently on the wait list, with more people added each year than removed as a result of successful transplantation. This is largely due to the National Organ Transplant Act of 1984’s outlawing the compensation of donors for their organs, which, in concurrence with basic economic theory, has resulted in a vast supply shortage. This paper aims to assess the state of the organ transplantation system in the United States and make the case that compensation for organ donors will not only remedy the vast shortage, but would prove to be a more economical alternative than the status quo. Keywords. Market for livers, National organ transplant.JEL. I11, I18
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