285 research outputs found
Dynamics of Network Formation Processes in the Co-Author Model
No full textThis article studies the dynamics in the formation processes of a mutual consent network in game theory setting: the Co-Author Model. In this article, a limited observation is applied and analytical results are derived. Then, 2 parameters are varied: the number of individuals in the network and the initial probability of the links in the network in its initial state. A simulation result shows a finding that is consistent with an analytical result for a state of equilibrium while it also shows different possible equilibria.Dynamics, Network, Game Theory, Model,Simulation, Equilibrium, Complexity
Trials and Tribulations of the Fourth World: A Study of Jahnavi Barua’s Next Door
No full text The Literature of the Northeast India acquired attention after the rise of some eminent writers in English such as Siddharth Deb, Mitra Pukhan, Jahnavi Barua and Arup Kumar Dutta whose works were translated from Assamese into English. The Next Door of Jahnavi Barua is a critically regarded compilation of short stories particularly placed in Assam, a region not frequently portrayed in English in Indian Fiction. Jahnavi Barua is an Assam based Indian author. In this collection of short stories, she has represented Assam as a voice from the edge. Northeast region of India is also known as tribal region since more than 90% of the population of this region is tribal. The paper will explore the sufferings and exploitation of Fourth World People i.e. Northeast Indian which is depicted obliquely, as a part of everyday life in Assam through Jahnavi Barua’s Next Door (Collection of short stories)
Data driven estimation of soil and vegetation attributes using airborne remote sensing
No full textAirborne remote sensing using imaging spectroscopy and LiDAR (Light Detection and Ranging) measurements enable us to quantify ecosystem and land surface attributes. In this study we use high resolution airborne remote sensing to characterize soil attributes and the structure of vegetation canopy. Soil texture, organic matter, and chemical constituents are critical to ecosystem functioning, plant growth, and food security. However, most of the soil data available globally are of coarse resolutions at scales of 1:5 million and lack quantitative information for modeling and land management decisions at field or catchment scales. Thus the need for a spatially contiguous quantitative soil information is of immense scientific merit which can be obtained using airborne and space-borne imaging spectroscopy. Towards this goal we systematically explore the feasibility of characterizing soil properties from imaging spectroscopy using data driven modeling approaches.
We have developed a modeling framework for quantitative prediction of different soil attributes using airborne imaging spectroscopy and limited field soil grab sample datasets. The results of our analysis using fine resolution (7.6m) Airborne Visible/Infrared Imaging Spectrometer (AVIRIS) data collected over midwestern United States immediately after the large 2011 Mississippi River flood indicate the feasibility of using the developed models for quantitative spatial prediction of soil attributes over large areas (> 700 sq. km) of the landscape. The quantitative predictions reveal coherent spatial correlations of the difference in constituent concentrations with legacy landscape features, and immediate disturbances on the landscape due to extreme events. Further for model validation using independent test data, we demonstrate that the results are better represented as a probability density function compared to a single validation subset.
We have simulated up-scaled datasets at multiple spatial resolutions ranging from 10m to 90m from the AVIRIS data, including future space based Hyperspectral Infrared Imager (HyspIRI) like observations. These datasets are used to investigate the applicability of the developed modeling framework over increasing spatial resolutions on the characterization of soil constituents. We have outlined an evaluation framework with a set of metrics that considers the point-scale model performance as well as the consistency of cross-scale spatial predictions. The results indicate that the ensemble quantification method is scalable over the entire range of airborne to space-borne spatial resolutions and establishes the feasibility of quantification of soil constituents from space- based observations.
Further, we develop a retrieval framework from satellites, which combines the developed modeling framework and spectral similarity measures for global scale characterization of soils using a weighted constrained optimization framework. The retrieval algorithm takes advantage of the potential of repeat temporal satellite measurements to evolve a dynamic spectral library and improve soil characterization.
Finally, we demonstrate that in addition to soil constituents, hyperspectral data can add value to characterizations of leaf area density (LAD) estimations for dense overlapping canopies. We develop a method for the estimation of the vertical distribution of foliage or LAD using a combination of airborne LiDAR and hyperspectral data using a feature based data fusion approach. Tree species classification from hyperspectral data is used to develop a novel ellipsoidal ‘tree shaped’ voxel approach for characterizing the LAD of individual trees in a riparian forest setting. We found that the tree shaped voxels represents a more realistic characterization of the upper and middle parts of the tree canopy in terms of higher LAD values, for trees of different heights in a forest stand.Submission published under a 24 month embargo labeled 'U of I Access', the embargo will last until 2018-05-01The student, Debsunder Dutta, accepted the attached license on 2016-04-20 at 11:04.The student, Debsunder Dutta, submitted this Dissertation for approval on 2016-04-20 at 11:23.This Dissertation was approved for publication on 2016-04-20 at 15:03.DSpace SAF Submission Ingestion Package generated from Vireo submission #9368 on 2016-07-07 at 13:50:17Made available in DSpace on 2016-07-07T20:27:52Z (GMT). No. of bitstreams: 3
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Previous issue date: 2016-04-20Embargo set by: Seth Robbins for item 93156
Lift date: 2018-07-07T20:28:14Z
Reason: Author requested U of Illinois access only (OA after 2yrs) in Vireo ETD systemEmbargo set by: Seth Robbins for item 93156
Lift date: 2018-07-07T20:35:34Z
Reason: Author requested U of Illinois access only (OA after 2yrs) in Vireo ETD systemU of I Only Restriction Lifted for Item 93156 on 2018-07-08T09:15:09Z
New Realizations of Efficient and Secure Private Set Intersection Protocols Preserving Fairness
No full textCoupled Halide-deficient and Halide-rich Reaction System for Doping in Perovskite Armed Nanostructures
No full textInsights of Mn(II) doping in CsPbCl3-armed hexapod nanostructures is reported. These complex structures were typically formed in halide concentration tuned modulated reactions. Cores were first formed under halide deficient condition and with enriching halides; these were transformed to armed structures. Doping of Mn(II) was observed facilitated during the arm growth in the second stage of the reaction. These observations were supported with decoupled reactions with minimized and maximized halide concentrations carried out in separate reactions. However, less interference for the exciton to dopant energy transfer was noticed for the defect states created in halide-deficient medium, and the intensity of the dopant emission remained proportional to the amount of dopant inserted in the nanocrystals. Being this is an in situ observation in the coupled reactions of both poor and rich halide reaction systems, the finding would strengthen the understanding of doping in perovskite host nanocrystals
Fair mPSI and mPSI-CA: Efficient Constructions in Prime Order Groups with Security in the Standard Model against Malicious Adversary
No full textIn this paper, we propose a construction of fair and efficient mutual Private Set Intersection (mPSI) with linear communication and computation complexities, where the underlying group is of prime order. The main tools in our approach include: (i) ElGamal and Distributed ElGamal Cryptosystems as multiplicatively Homomorphic encryptions, (ii) Cramer-Shoup Cryptosystem as Verifiable encryption. Our mPSI is secure in standard model against malicious parties under Decisional Diffie-Hellman (DDH) assumption. Fairness is achieved using an off-line semi-trusted arbiter. Further, we extend our mPSI to mutual Private Set Intersection Cardinality (mPSI-CA) retaining all the security properties of mPSI. More interestingly, our mPSI-CA is the first fair mPSI-CA with linear complexity
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