419 research outputs found
Understanding the importance of side information in graph matching problem
No full textGraph matching algorithms rely on the availability of seed vertex pairs as side information to deanonymize users across networks. Although such algorithms work well in practice, there are other types of side information available which are potentially useful to an attacker. In this thesis, we consider the problem of matching two correlated graphs when an attacker has access to side information either in the form of community labels or an imperfect initial matching. First, we propose a naive graph matching algorithm by introducing the community degree vectors which harness the information from community labels in an e cient manner. Next, we analyze the basic percolation algorithm for graphs with community structure. Finally, we propose a novel percolation algorithm with two thresholds which uses an imperfect matching as input to match correlated graphs. We also analyze these algorithms and provide theoretical guarantees for matching graphs generated using the Stochastic Block Model.
We evaluate the proposed algorithms on synthetic as well as real world datasets using various experiments. The experimental results demonstrate the importance of communities as side information especially when the number of seeds is small and the networks are weakly correlated. These results motivate the study of other types of potential side information available to the attacker. Such studies could assist in devising mechanisms to counter the effects of side information in network deanonymization.Submission published under a 24 month embargo labeled 'U of I Access', the embargo will last until 2018-12-01The student, Kushagra Singhal, accepted the attached license on 2016-11-22 at 11:10.The student, Kushagra Singhal, submitted this Thesis for approval on 2016-11-22 at 11:16.This Thesis was approved for publication on 2016-11-22 at 12:00.DSpace SAF Submission Ingestion Package generated from Vireo submission #10224 on 2017-02-28 at 14:36:15Made available in DSpace on 2017-03-01T16:36:46Z (GMT). No. of bitstreams: 2
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Previous issue date: 2016-11-22Embargo set by: Seth Robbins for item 98583
Lift date: 2019-03-01T16:37:19Z
Reason: Author requested U of Illinois access only (OA after 2yrs) in Vireo ETD systemU of I Only Restriction Lifted for Item 98583 on 2019-03-02T10:15:33Z
A new framework of optimizing keyword weights in text categorization and record querying
No full textIn text mining research, the Vector Space Model (VSM) has been commonly used to represent text documents as a vector where each component is associated with a particular word in the documents. Assigning appropriate keyword weights in VSM has been critical in Information Retrieval (IR) and Text Categorization (TC).
Traditionally keyword weighting processes are unsupervised; that is, the knowledge of document's category is not leveraged to label the documents. Typically, each keyword weight is assigned using the term frequency -- inverse document frequency (TFIDF) measure. Although the TFIDF measure has been proven effective in several text mining problems, it might not give the optimal classification power for IR and TC. In this thesis, we propose a new optimization framework to find the best keyword weights based on the proposed inter-class and intra-class similarity concept.
The optimal keyword weight can be viewed as the feature space projection where documents from the same category are best clustered together and separated from other categories. Subsequently, the category average (centroid) classification is employed to categorize text documents. The proposed approach is tested on two practical applications: record query and text categorization. The record query application is slightly different from traditional IR problems as the goal is to find correlated (duplicate and master) text records. This problem was initiated by a telecommunication company where service engineers attempt to look for associations of the current defect problem in previously recorded problems in the database. Extensive experiments demonstrate that the proposed framework significantly improves the classification accuracy and provides balanced performance as measured on all text categories when compared to the standard TFIDF search. The text categorization application is tested on the Reuters news data set which is a gold-standard benchmark data set. The results show that our framework improves performance for the two applications considered, namely Information Retrieval and Text Categorization.M.S.Includes bibliographical references (p. 80-83)
Evaluation of UML based wireless network virtualization
No full textVirtualization of wireless networks is recognized to be a difficult problem due to the fact that radios interact with their neighbors at various layers of the protocol stack, making strict isolation of virtual networks ("or slices") quite challenging. The goal of virtualization is to support concurrent experiments, both long-running services as well as short-term experiments on shared wireless network. In a wireless network, the radio resources that can be shared and hence virtualized are in time, space and frequency. Efforts have been going on to modify the ORBIT control structure to accommodate different forms of virtualization including VMAC, SDMA, FDMA and TDMA. Among different possible wireless virtualization techniques, this work is focused on allowing a node to run more than one experiment simultaneously using different frequencies i.e. Frequency Division Multiplexing (FDM). Each node in the ORBIT test bed is provided with two physical wireless cards. FDMA virtualization is achieved by running two concurrent User Level Operating Systems (ULOS) on each node and providing each operating system access to a radio card. Thus an experimental end user would view a single node as two virtual nodes, each equipped with one wireless card.
Experimental results are provided to compare the performance of a virtualized radio node with the non virtualized one for basic point-to-point experiments using TCP and UDP. Bounds on performance metrics of throughput, delay and jitter are determined and cross-coupling effects between two virtualized experiments are examined. We also look at transient behavior associated with sudden changes in traffic on one of the virtual networks. Finally, the uncertainty in performance measurements for a few typical usage scenarios is investigated, leading to guidelines for use of virtualized radio nodes for simultaneous ORBIT experiments.M.S.Includes bibliographical references (p. 44-45)
A Rare Case of Erythema Nodosum : Lofgren's Syndromey
No full textLofgren’s syndrome is characterized by triad of Erythema Nodosum, hilar lymphadenopathy and polyarthralgia. [1] It is mostly seen as an acute form of sarcoidosis, in 35 % of such cases. In India sarcoidosis is rare condition and only 5-6% of such rare cases may present as Lofgren ′s syndrome. Other possible causes ofLofgren ′s may be infections and environmental factors as the disease tends to have increased incidence during spring season. [3] In this article we are reporting a rare case of Lofgren′s with rarer presentation of Erythema Nodosum, polyarthritis, hilar lymphadenopathy and episcleritis, from India which was triggered by infection
LBP - A Leading Cause of Workplace Absenteeism : Are We Doing Enough?
No full textLow back pain (LBP) is a condition which affects most of the individuals at some point of time in their lives. The reportedprevalence of LBP in Indian population is highly variable, and ranges from 6.2% to 92%. The etiology of LBPcovers a vast number of factors including mechanical, psychogenic, degenerative, post traumatic and inflammatory causes. Meticulous history taking andphysical examination are of utmost importance while dealing with a case of LBR Various classes of medicines are available with promising results for control of LBR Non Steroidal Anti Inflammatory Drugs, selective COX2 inhibitors, muscle relaxants, opioid analgesics, tricyclic antidepressants, gabapentin, pregabalin etc. Non pharmacological intervention like spinal manipulation and acupuncture are of controversial effectiveness. Yoga and physiotherapy have evidence supporting their role in improving the pain. Strong need is there to improvise the conventional method of managing LBR Approximately 95% cases of LBP are of non speciJic mechanical wherein diagnostic imaging tests (including X-rays, CT and MRT) are not routinely indicated for acute non-specifi LBR Investigations should be limited for the small minority (<2-5%) where the cause of back pain is suspected to be either inflammatory (ie. systemic autoimmune diseases viz. ankylosing spondylitis or spondyloarthritis) or sinister. Active rehabilitation should be encouraged and the patients should not be prescribed bed rest as a treatntenf Management of LBPrequires an umbrella approach which, apart from pharmacological intervention, screening for psychosocial prognostic indicators in LBP may ultimately guide treatment protocols in physical therapy for more comprehensive patient care along with patient empowerment in terms of health education, participation in decision muking and responsibility of taking good self-care
Construct Delineation of Samatvam (Equanimity): A Pathway to Holistic Well-Being
No full textConstruct Delineation of Samatvam (Equanimity): A Pathway to Holistic Well-Being
Urmi Gupta & Rekha Singhal
PhD Scholar & Professor
Faculty of Contemplative and Behavioural Sciences, Sri Sri University
Author Note
We have no conflicts of interest to disclose.
Correspondence concerning this article should be addressed to Urmi Gupta, Research Scholar, Faculty of Contemplative and Behavioural Sciences, Sri Sri university, Ward No - 3, Sandhapur, Godi Sahi, Cuttack Bidhayadharpur, Odisha 754006. Email: [email protected]
Construct Delineation of Samatvam (Equanimity): A Pathway to Holistic Well-Being
Abstract
The Bhagavad Gita, an ancient Indian scripture and a spiritual guide to millions across diverse populations and cultures, addresses existential dilemmas that remain relevant across time and context. Its teachings extend beyond the spiritual domain, offering practical philosophical, psychological, and spiritual insights that promote well-being. The objective of this research was to explore Samatvam (equanimity) as a pathway to holistic well-being (HWB). Thematic analysis of the principle of Samatvam, as advocated in the Bhagavad Gita, was carried out to conceptualize holistic well-being through the lens of equanimity. The study illustrates key principles of Samatvam and how they foster HWB through its psychological, philosophical, and spiritual dimensions. Future empirical research is recommended to validate and operationalize these insights across diverse populations and cultural contexts.
Keywords: Samatvam, equanimity and well-being, holistic well-being, cultivation of equanimity, equanimity and mental health, spirituality and well bein
The Indian family on UK reality television: Convivial culture in salient contexts
No full textThis is the author's accepted manuscript. The final published article is available from the link below, copyright 2012 @ the author.This article demonstrates how The Family (2009), a fly-on-the wall UK reality series about a British Indian family, facilitates both current public service broadcasting requirements and mass audience appeal. From a critical cultural studies perspective, the author examines the journalistic and viewer responses to the series where authenticity, universality, and comedy emerge as major themes. Textual analysis of the racialized screen representations also helps locate the series within the contexts of contested multiculturalism, genre developments in reality television and public service broadcasting. Paul Gilroy’s concept of convivial culture is used as a frame in understanding how meanings of the series are produced within a South Asian popular representational space. The author suggests that the social comedy taxonomy is a prerequisite for the making of this particular observational documentary. Further, the popular (comedic) mode of conviviality on which the series depends is both expedient and necessary within the various sociopolitical contexts outlined
Tunable 3D Photonic Crystals for Mid-IR Gas Sensing using Metamaterials
No full textPhotonic Crystals (PhCs) are periodically structured dielectric materials that have the potential
to slow down the group velocity of light, known as the slow-light effect. Due to the
complex architecture of PhCs, planar microfabrication techniques result in the fabrication of
PhCs being complicated and costly. PhCs were fabricated by a direct laser writing (DLW) approach
with 2-Photon Polymerization (2PP) using a negative-tone UV curable resin (IP-DIP).
The capabilities of PhCs in two-dimensional (2D) and three-dimensional (3D) were modeled
using finite element analysis (FEA). The photonic bandgap (PBG) analysis was used to tune
the crystals to specific wavelengths making them tunable. The sensors were then infiltrated
with Zinc Oxide (ZnO) to compensate for low refractive index contrast. PhCs were tested for
physical and optical property changes by infiltration. The infiltrated PhCs showed enhanced IR
gas sensing results compared to traditional methods.
The PhCs were fabricated using a commercially available 2PP system (Nanoscribe Photonic
Professional GT+). The response of fabricated structures was studied using Fourier Transform
Infrared spectroscopy (FTIR). The accuracy of structures was confirmed using Scanning Electron
Microscopy (SEM). The structures were infiltrated with ZnO using the Gemstar Atomic
Layer Deposition (ALD) system with a controlled operation for coating the inner walls. The
morphology of infiltrated PhCs was characterized by SEM and energy dispersive spectroscopy
(EDS) followed by FTIR to observe changes to the absorption spectra. Defect engineering was
also performed on PhCs and was experimentally observed. The infiltration was tested for physical parameters such as hardness, elasticity, thermogravimetric
analysis (TGA) etc to observe any property change. The gas sensing setup was then
integrated within the FTIR with gas flow controlled by mass flow controllers. The PhCs were
tested for Carbon-dioxide (CO2) at room temperature with 1% CO2 in a dry nitrogen mixture
created in-house using the manometric method. The chamber was constantly purged with dry
Nitrogen (N2) before and after the tests to remove any moisture or trace gases. Infiltrated PhCs
show improved sensing capabilities of PhC.
In comparison without PhC, an enhancement of 12 was obtained when PhCs were used. The
tests were repeated using three different PhCs and all three PhC sensors show enhancement
confirming repeatability. A test with an increased height of PhC was performed to obtain even
further enhancement confirming increased slow-light action with an increase in the PhC path.The results obtained may help develop sensors (a) with capabilities of on-chip IR sensing,
(b) sensors selective to different gases, (c) use of 2PP in the fabrication of micro-optics sensing
systems, and (d) use of SIS for enhancing the optical properties of 2PP fabricated structures for
better applications. Hence, the sensors developed in this work have the potential to overcome
challenges and play an important role in on-chip sensing platforms leading to advantages in
climate change, self-monitoring etc
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