674 research outputs found
Ideas for rent: an overview of markets for technology
No full textThis article surveys some of the recent literature on technology markets, and summarizes its main issues and insights. We structure our analysis in three parts: the supply and demand of technology; the factors that condition the formation and growth of technology markets; industry structure and dynamic issues. In addition, we summarize some of the studies that have tried to document the size and growth of these markets. We find that the literature has focused mainly on the supply of technology, but several other aspects of these markets remain under-studied, including the demand for external technology, the role of uncertainty in technology markets, and the dynamic interaction between industry structure and the market for technology. Understanding these will illuminate whether markets for technology will continue to grow or remained confined to pockets of the economy. Copyright 2010 The Author 2010. Published by Oxford University Press on behalf of Associazione ICC. All rights reserved., Oxford University Press.
Metrics for analytics and visualization of big data with applications to activity recognition
No full textActivity recognition systems detect the hidden actions of an agent from sensor measurements made on the agents' actions and the environmental conditions. For such systems, metrics are important for both performance evaluation and visualization purposes. In this thesis, such metrics are developed and illustrated. For human activity recognition datasets, a reporting structure is described to visualize the metrics in a systematic manner. The other contribution of this thesis is to describe a visualization tool for estimating the orientation (attitude) of a rigid body from streaming motion sensor (accelerometer and gyroscope) data. A feedback particle filter (FPF) is implemented algorithmically to solve the estimation problem.Submission published under a 24 month embargo labeled 'Closed Access', the embargo will last until 2018-05-01The student, Rohan Arora, accepted the attached license on 2016-04-25 at 10:47.The student, Rohan Arora, submitted this Thesis for approval on 2016-04-25 at 10:48.This Thesis was approved for publication on 2016-04-27 at 15:05.DSpace SAF Submission Ingestion Package generated from Vireo submission #9459 on 2016-07-07 at 14:17:57Made available in DSpace on 2016-07-07T21:18:02Z (GMT). No. of bitstreams: 2
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Study on Microstructural Properties of Aluminium Alloy Strips Fabricated By Large Strain Extrusion Machining (LSEM) Process
No full textManufacturing of bulk nano structured are in high demand in today’s industry because of recent development and application of advanced materials. Many traditional machining processes were used but none of them have been able to produce complex shapes precisely at low cost. In order to improve the mechanical and micro structural properties, Large strain extrusion machining (LSEM) is introduced. It is basically a fabrication process. It is a single step manufacturing process. It is a method of severe plastic deformation (SPD) which is used particularly for machining bulk nano structured materials. It is a low cost manufacturing technique with advantage of machining and controlling dimensions simultaneously. Different controlled dimension shapes such as foils, sheets and bars are produced with controlled geometric parameters of the deformation using this machining process. In the present work, experimental investigation and analysis of formed specimen is carried out. Response surface methodology (RSM) has been used to develop the input output relations. Feed, rake angle and speed have been considered as input parameters while shear strain, hardness and surface roughness have been considered as output parameters. Aluminuim alloy AL5052 was used as the ingot material. This alloy is widely used in aircrafts, marine, railways and some other important industries. Experiments are carried out in HMT20 lathe using fabricated tool post. Based on experiments carried out, Box-Behnken design technique has been used to develop nonlinear models. The mechanical properties of the strips produced were measured by micro hardness tester. Also, the surface roughness and surface morphology of strips were studied using surface roughness tester and scanning electron microscope (SEM)
Design of capacitive micromachined ultrasonic transducer for underwater acoustic imaging
No full textME-ECE-ThesisWe introduce Capacitive Micromachined Ultrasonic Transducer (CMUT) for underwater acoustic imaging in order to obtain the high resolution images. CMUT is used because of its several advantages like higher performance, low motional impedance and high quality factor, high bandwidth, less losses. The CMUT consists of a membrane. When AC voltage superimposed with DC voltage is applied across metalized membrane and
substrate, ultrasonic waves are produced. The membrane is attracted towards the bulk by the electrostatic force and induced stress within the membrane resists the attraction. If the biased membrane is exposed to ultrasound, a current is generated due to the capacitance
change under constant bias voltage. The amplitude of this current is a function of the frequency of the incident wave, the bias voltage, and the capacitance of the device. In this report comparative study of CMUT has been done. Objectives have been drawn from the observations and gaps. Simulation results have been achieved using COMSOL multiphysics.Electronics and Communication Engineering, Thapar University, Patial
Discursive Toolkits of Anti-Muslim Disinformation on Twitter
No full textIn this article, we investigate the socio-technical ecology of Twitter, including thetechnological affordances of the platform and the user-generated discursive strategiesused to create and circulate anti-Muslim disinformation online. During thefirst waveof Covid-19, right-wing followers claimed that Muslims were spreading the virus toperform Jihad. We analyzed a sample of 7000 tweets using Critical DiscourseAnalysis to examine how the online disinformation accusing Muslims in India was ini-tiated and sustained. We identify three critical discourse strategies used on Twitter tospread and sustain the anti-Muslim (dis)information: (1) creating mediatized hate sol-idarities, (2) appropriating instruments of legitimacy, and (3) practicing Internet Hinduvigilantism. Each strategy consists of a subset of discursive toolkits, highlighting thecentral routes of discursive engagement to produce disinformation online. Weargue that understanding how the technical affordances of Social Networking Sitesare leveraged in quotidian online practices to produce and sustain the phenomenonof online disinformation will prove to be a novel contribution to thefield of disinfor-mation studies and Internet research
Magnetic removal of Entamoeba cysts from water using chitosan oligosaccharide-coated iron oxide nanoparticles
No full textSudeep Shukla,1 Vikas Arora,2 Alka Jadaun,3 Jitender Kumar,1 Nishant Singh,1 Vinod Kumar Jain1 1School of Environmental Sciences, Jawaharlal Nehru University, New Delhi, Delhi, India; 2Department of Chemistry, Indian Institute of Technology, New Delhi, Delhi, India; 3School of Biotechnology, Jawaharlal Nehru University, New Delhi, Delhi, India Abstract: Amebiasis, a major health problem in developing countries, is the second most common cause of death due to parasitic infection. Amebiasis is usually transmitted by the ingestion of Entamoeba histolytica cysts through oral–fecal route. Herein, we report on the use of chitosan oligosaccharide-functionalized iron oxide nanoparticles for efficient capture and removal of pathogenic protozoan cysts under the influence of an external magnetic field. These nanoparticles were synthesized through a chemical synthesis process. The synthesized particles were characterized by transmission electron microscopy, Fourier transform infrared spectroscopy, X-ray diffraction, and zeta potential analysis. The particles were found to be well dispersed and uniform in size. The capture and removal of pathogenic cysts were demonstrated by fluorescent microscopy, transmission electron microscopy, and scanning electron microscopy (SEM). Three-dimensional modeling of various biochemical components of cyst walls, and thereafter, flexible docking studies demonstrate the probable interaction mechanism of nanoparticles with various components of E. histolytica cyst walls. Results of the present study suggest that E. histolytica cysts can be efficiently captured and removed from contaminated aqueous systems through the application of synthesized nanoparticles. Keywords: amebiasis, water treatment, nanotechnolog
Glucocorticoid concentration and parasitic load in a wild striped hyaena (Hyaena hyaena) population in Southern India
No full textGlucocorticoid levels (GCs) are an important parameter that infers the pathological condition of an organism. GCs can vary with life history stages like gender, age, and reproductive stage and signify the degree of allostatic load experienced. Deleterious increases in GCs can severely affect the wildlife population by suppressing the reproductive viability of individuals and may cause immunosuppressive, making the population more susceptible to parasitic load. We have studied the stress physiology and parasitic load across the life history stages in the striped hyaena population confined to the Moyar Valley of Mudumalai and Sathyamangalam Tiger Reserves. The fecal glucocorticoid metabolite concentrations were measured using cortisol enzyme immunoassay from 30 scats. Collected scats were categorized into adults, sub-adults, and juvenile age groups based on the size and colour of droppings. Sex of the scat samples was identified post-DNA extraction from their epithelial lining cells. Parasitic load from scats was quantified as the number of different parasites recorded through sucrose floatation and sedimentation techniques. We found no significant difference in GCs concentration and parasitic load across the life history stages, but juveniles were recorded to have the least parasitic load. The highest GCs concentration and parasitic load were recorded from adults and female individuals, while both parameters were found least among juvenile individuals. Though we did not observe any significant differences across life-history stages, this study provides the first baseline information on stress physiology and parasitic load in striped hyaenas, which could help further studies assess the impact of external perturbations on stress physiology.K. Ashish, B. Arora, Divyasree Karne, Vinod Kumar, Aamer Sohel Khan, Govindhaswamy Umapathy, T. Ramesh, Riddhika Kall
First generation Asian immigrants and mental health treatment
No full textAny first generation immigrant has a hard time assimilating to life in a new country, and this holds true for the Asian population and their mental health (Arora et al., 2020). This project focused on what impacts mental health of first generation Asian immigrants.Research presentationFaculty Mentor: Dr. Kathy Andrese
Towards automated classification of fine-art painting style: a comparative study
No full textThis thesis presents a comparative study of different classification methodologies for the task of fine-art genre classification. The problem of painting classification involves classifying new unknown paintings among different art genres. Two-level comparative study is performed for this classification problem. The first level reviews the performance of discriminative vs. generative models while the second level touches the features aspect of the paintings and compares Semantic-level features vs low-level and intermediate-level features present in the painting. Three models are studied and compared, namely - 1) A Discriminative model using a Bag-of-Words (BoW) approach; 2) A Generative model using BoW; 3) Discriminative model using Semantic-level features. Various experiments and techniques like Bag of Words model, Topic models and Classeme features are employed to get insights into potential of these automatic classification techniques for painting styles.M.S.Includes bibliographical referencesby Ravneet Singh Aror
Micro-power Pulsed-Doppler Radar Clutter and Displacement Source Classification Dataset
No full textThis is the official dataset for the ACM BuildSys 2019 publication One Size Does Not Fit All: Multi-Scale, Cascaded RNNs for Radar Classification.
The training code for MSC-RNN can be found at https://github.com/dhruboroy29/MSCRNN
Kindly cite this work as:
@article{roy2019one,
title={One Size Does Not Fit All: Multi-Scale, Cascaded RNNs for Radar Classification},
author={Roy, Dhrubojyoti and Srivastava, Sangeeta and Kusupati, Aditya and Jain, Pranshu and Varma, Manik and Arora, Anish},
journal={arXiv preprint arXiv:1909.03082},
year={2019}
}
</pre
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