273 research outputs found
Corrigendum: Anemia detection through non-invasive analysis of lip mucosa images
No full textIn the published article, there was an error in the author list. The new requested author order is: Shekhar Mahmud1, Turker Berk Donmez2, Mohammed Mansour3*, Mustafa Kutlu3 and Chris Freeman41 Department of Systems Engineering, Military Technological College, Muscat, Oman 2 Department of Biomedical Engineering, Sakarya University of Applied Sciences, Serdivan, Sakarya, Türkiye 3 Department of Mechatronics Engineering, Sakarya University of Applied Sciences, Serdivan, Sakarya, Türkiye 4 Electronics and Computer Sciences, University of Southampton, Southampton, United Kingdom The authors apologize for this error and state that this does not change the scientific conclusions of the article in any way. The original article has been updated. Copyright © 2023 Mahmud, Donmez, Mansour, Kutlu and Freeman
‘Offensive’ writing: Sex and prostitution in the works by Hansda Sowvendra Shekhar
No full textThis article considers some works by the Santhal author Hansda Sowvendra Shekhar in light of the fierce critiques they attracted. Against the accusation of pornographic and offensive writing, I maintain not only that the criticism Shekhar’s works received is unjustified (something that has also been claimed by others), but also that it is symptomatic of a mood with its roots in the West that has spread all over the world. I argue that behind this kind of criticism lies the imposition of identity politics on literary works on one side, and the contemporary concern with political correctness on the other. Further, I also show that despite the progressive agenda such a criticism wants to represent and defend, it ends up producing regressive implications. Shekhar’s case appears thus to be particularly enlightening in showing the limits of identity politics and political correctness in literary criticism
Action-Reflection-Adaptation-Public Learning: Excerpts from the Life of a Pracademic. Larry Susskind in conversation with Shekhar Chandra
No full textLarry Susskind is Ford Professor of Urban and Environmental Planning at the Massachusetts Institute of Technology (MIT). His research interests focus on the theory and practice of multiparty negotiation and public dispute resolution, the practice of public engagement in local decision-making, global en-vironmental treaty-making, and the resolution of science-intensive policy disputes, particularly those related to climate change adaptation. He is an experienced mediator, having helped to settle more than 50 resource management and development disputes in many parts of the world, mostly through the Consensus Building Institute, which he founded in 1991. Larry is the author or co-author of more than twenty books including, most recently, Environmental Problem-Solving (Anthem), Managing Climate Risks in Coastal Communities: Strategies for Engage-ment, Readiness, and Adaptation (Anthem), the second edition of Environmental Diplomacy (Oxford Press), and Good for You, Great for Me (Public Affairs Press).He is one of the co-founders of the in-ter-university Program on Negotiation at Harvard Law School, where he now directs the MIT-Harvard Public Negotiations Program, serves as Vice-Chair for Instruction, and co-directs the Negotiation Pedagogy Initiative. This booklet is based on the author’s frequent interactions with Larry over several years at MIT. During his doctoral studies, the author has had multiple opportunities to work with Larry that not only inspired the author’s research but also exposed him to some of Larry’s important scholarly contributions to the planning field. Conversations in the booklet are grouped under five broad public policy questions to which Larry has made important contributions.AESOP Young Academics Booklet Project Conversations in Planning, Booklet
Topological Relationships and Their Use
No full textTopological relations between spatial objects have been widely recognized, implemented, and used in GIS. They provide a notion of the general structure and the interactions of spatial objects. Topology avoids dealing with geometry by introducing topological primitives, namely, boundary, interior, and exterior.Accepted Author ManuscriptUrban Data Scienc
Stereo-PIV Measurement of Turbulence Shear Stress in a Stirred Flow Mixer
No full textThe turbulence dissipation rate and turbulence shear stress are estimated inside a cylindrical, stirred flow mixer by carrying out Stereo PIV measurements in twelve vertical and three horizontal planes. The flow domain is vertically oriented, filled with the water. A commercially-available, three-blade impeller, HR-100, is used as the agitator. The impeller is mounted near the tip of a thin, rigid shaft, which is aligned along the central axis of the flow domain. The impeller rotates with the constant angular speed of 150RPM, and the Reynolds number based on the impeller diameter and the blade's tip-velocity is equal to 59400. The turbulence statistics in the vertical measurement planes are reported before (Shekhar C, Nishino K, Yamane Y and Huang J, \u93Stereo-PIV measurement of turbulence characteristics in a flow mixer\u94 Journal of Visualization 15 (2012) pp.293~308), which revealed that the rotation induces a downward, as well as tangential, bulk flow motion, which convects the turbulence generated at the blade-water interface, causing the turbulence level below the impeller to be much higher than the level above it. The present study is the second part of the same project, and reports the turbulence statistics in the horizontal measurement planes. The results show that the turbulence level is high in the area swept by the rotating impeller blades and underneath. However, in the outside region, the turbulence damps down and becomes negligible. The vertical and horizontal measurement results are also combined to estimate the production, convection, viscous diffusion, and turbulence dissipation terms of the turbulence kinetic energy's budget equation, along with the turbulence shear stress, along the lines where the different vertical and horizontal planes intersect
Sparse Methods for Robust and Efficient Visual Recognition
No full textVisual recognition has been a subject of extensive research in computer vision. A vast literature exists on feature extraction and learning methods for recognition. However, due to large variations in visual data, robust visual recognition is still an open problem. In recent years, sparse representation-based methods have become popular for visual recognition. By learning a compact dictionary of data and exploiting the notion of sparsity, start-of-the-art results have been obtained on many recognition tasks. However, existing data-driven sparse model techniques may not be optimal for some challenging recognition problems. In this dissertation, we consider some of these recognition tasks and present approaches based on sparse coding for robust and efficient recognition in such cases.
First we study the problem of low-resolution face recognition. This is a challenging problem, and methods have been proposed using super-resolution and machine learning based techniques. However, these methods cannot handle variations like illumination changes which can happen at low resolutions, and degrade the performance. We propose a generative approach for classifying low resolution faces, by exploiting 3D face models.
Further, we propose a joint sparse coding framework for robust classification at low resolutions. The effectiveness of the method is demonstrated on different face datasets.
In the second part, we study a robust feature-level fusion method for multimodal biometric recognition. Although score-level and decision-level fusion methods exist in biometric literature, feature-level fusion is challenging due to different output formats of biometric modalities. In this work, we propose a novel sparse representation-based method for multimodal fusion, and present experimental results for a large multimodal dataset. Robustness to noise and occlusion are demonstrated.
In the third part, we consider the problem of domain adaptation, where we want to learn effective classifiers for cases where the test images come from a different distribution than the training data. Typically, due to high cost of human annotation, very few labeled samples are available for images in the test domain. Specifically, we study the problem of adapting sparse dictionary-based classification methods for such cases. We describe a technique which jointly learns projections of data in the two domains, and a latent dictionary which can succinctly represent both domains in the projected low dimensional space. The proposed method is efficient and performs on par or better than many competing state-of-the-art methods.
Lastly, we study an emerging analysis framework of sparse coding for image classification. We show that the analysis sparse coding can give similar performance as the typical synthesis sparse coding methods, while being much faster at sparse encoding. In the end, we conclude the dissertation with discussions and possible future directions
Restructuring the existing medium voltage distribution grids using DC systems
No full textGreen Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.DC systems, Energy conversion & Storag
Computational study of the structure and function of membrane transport proteins
No full textTransport of the nutrients across the cell membrane is regulated by membrane transport proteins which selectively and efficiently transports materials across the membrane. In the present work I focus on the family of membrane transporters the so called sugar porters in both their mammalian and bacterial forms. In the first work I describe the entire thermodynamic cycle of the GLUT1, a glucose transporter from the sugar porter family by employing non-equilibrium MD simulation and determining the free energy landscape associated with the so called IF–OF transition. Employing the information from the free energy calculations and equilibrium MD simulations from the members of the sugar porter family I present a unified mechanism of transport for the uniporter class of transporters. A second class of transporters namely symporters that couple the electrochemical gradient of a co transported ion to perform the uphill transport of the substrate was also studied. Using the H+-coupled Xylose transporter XylE a close homologue of GLUTs, as a prototypical symporter the allosteric effects of the binding of H+ and the subsequent effect on the substrate dynamics is studied. Furthermore, I explored the role of lipids in regulating the conformational equilibrium in XylE. In combination with HD-MS experiments we show that the nature of lipid protein interactions determined the stability of a particular conformational state of XylE. Continuing on the theme of lipid-protein interaction, I present my work on the P2X receptor, a non selective cation channel, where we present a unique ion permeation mechanism where the ion permeation pathway is formed by both protein and the lipid molecules.
In recent times, Cryo-EM has emerged as a tool for structural biologists to obtain structures of macro molecules which were previously difficult to elucidate using traditional methods. Employing MD simulations particularly Molecular Dynamics Flexible Fitting (MDFF) in its resolution exchange flavor ReMDFF, I present the results of the 2015-2016 Cryo-EM Model challenge. In this challenge that I participated, we employed the aforementioned methodologies to forward the field of structure determination from the density maps at 3-5 °A resolution. The results presented are focused on providing structures for the proteins TRPV1 & -galactosidase. However, all these approaches, including our popular Molecular Dynamics Flexible Fitting (MDFF), and its various extensions work under the conventional molecular replacement paradigm, whereby any initial search model is morphed to satiate the data-imposed constraints. As a natural consequence, quality of the determined model remains heavily biased by choices of the initial model. Here, we deliver a novel modeling pipeline, MMR (MAINMAST-MELD-ReMDFF) that interactively combines minimum spanning tree-based backbone tracing tool (MAINMAST), Bayesian-likelihood based protein-folding methodology (MELD), and a resolution exchange-based fitting protocol (ReMDFF). Starting from only sequence information, the algorithm places C atoms into the density, fits a random coil to this C trace, generates protein secondary structures on-the-fly, and exhaustively samples the backbone and side chain geometries to deliver a re-fined model. Overcoming limitations of traditional approaches, the need for an initial model or homology information is completely subsided, and de-novo modeling is now made feasible even at low resolutions.Submission published under a 24 month embargo labeled 'U of I Access', the embargo will last until 2021-05-01The student, Mrinal Shekhar, accepted the attached license on 2019-02-12 at 13:10.The student, Mrinal Shekhar, submitted this Dissertation for approval on 2019-02-12 at 13:25.This Dissertation was approved for publication on 2019-02-15 at 11:27.DSpace SAF Submission Ingestion Package generated from Vireo submission #13386 on 2019-08-22 at 15:04:02Made available in DSpace on 2019-08-23T20:28:06Z (GMT). No. of bitstreams: 2
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Previous issue date: 2019-02-15Embargo set by: Seth Robbins for item 112081
Lift date: 2021-08-23T20:28:11Z
Reason: Author requested U of Illinois access only (OA after 2yrs) in Vireo ETD systemEmbargo set by: Seth Robbins for item 112081
Lift date: 2021-08-23T20:29:33Z
Reason: Author requested U of Illinois access only (OA after 2yrs) in Vireo ETD systemEmbargo set by: Seth Robbins for item 112081
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Reason: Author requested U of Illinois access only (OA after 2yrs) in Vireo ETD systemU of I Only Restriction Lifted for Item 112081 on 2021-08-24T09:15:34Z
Changing Infrastructure in Urban India: Critical Reflections on Openness and Trust in the Governance of Public Services
No full textChapter
(Re)prioritizing citizens in ‘smart cities’ governance: Examples of smart citizenship form India
No full textBy examining the community-focused informatics work of Transparent Chennai (TC) (India) we seek to contrast the Smart Cities agenda — with its focus on the consumption and commercialization of digital technologies and infrastructure — to citizen-driven approaches, what we term, Smart Citizenship. A Smart Citizenship approach engages citizens in complementary digitally mediated and face-to-face processes that respect local knowledge systems. We devise a framework for understanding Smart Citizenship and link this to our case study of Transparent Chennai. Our research identifies how information and communication technologies (ICTs) can serve to spotlight overlooked or undervalued urban infrastructural, planning and environmental issues — such as the need for access to safe and clean public toilets; road safety and pro-pedestrian planning. We conclude by suggesting that a locally grounded Smart Citizenship agenda can reprioritize the needs and interests of local communities and neighbourhoods in urban governance, rather than those of exclusivist private commercial interests
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