63 research outputs found
BENGALI AUTHORSHIP CLASSIFICATION CORPUS (BACC-18)
No full textIf you use the Dataset, please cite the following paper. @ARTICLE{9478882,
author={Hossain, Md. Rajib and Hoque, Mohammed Moshiul and Dewan, M. Ali Akber and Siddique, Nazmul and Islam, Md. Nazmul and Sarker, Iqbal H.},
journal={IEEE Access},
title={Authorship Classification in a Resource Constraint Language Using Convolutional Neural Networks},
year={2021},
volume={9},
number={},
pages={100319-100338},
doi={10.1109/ACCESS.2021.3095967}
Non-contiguous spectrum access and small cell network design
No full textThe explosive demand for high data rate wireless services cannot be sustained through improvements in PHY layer technologies alone. Opportunistic use of additional bandwidth through dynamic spectrum access and densification of wireless networks are necessary to meet this increasing demand, and this dissertation covers both these aspects. The first part of the thesis focuses on a cooperative spectrum access scenario where nodes exchange non-contiguous spectrum chunks as incentives for cooperative forwarding. An autonomous network is considered where each node gets an initial amount of bandwidth, and uses this bandwidth as a flexible incentive for two hop relaying. This dissertation proposes an incentivized forwarding based resource allocation algorithm which maximizes the global utility of the network while preserving the initial utility of each cooperative node. The second part of the thesis studies power optimal non-contiguous spectrum access. Non-Contiguous Orthogonal Frequency Division Multiple Access (NC-OFDMA), a popular technique in software defined radio research, accesses non-contiguous spectrum chunks by nulling intermediate spectrum. However, nulling subcarriers increases the sampling rate (spectrum span) which, in turn, increases the power consumption of radio front ends. This dissertation characterizes this trade-off from a cross-layer perspective, specifically by showing how the slope of ADC/DAC's power consumption versus sampling rate curve influences scheduling decisions in a multi-hop network. The final part of the thesis focuses on two aspects of small cell network design: (i) a prototype wireless channel measurement system that allows network operators to measure path loss and multipath fading characteristics between multiple candidate small cell locations and their potential users; and (ii) joint cost optimal aggregator node placement, power allocation, channel scheduling and routing for wireless backhaul network of small cells.Ph.D.Includes bibliographical referencesby Muhammad Nazmul Isla
Social-ecological system approaches for water resources management
No full textIn the era of the Anthropocene, understanding the dynamic interactions between humans and water is crucial for supporting both human well-being and the sustainable management of resources. The current water management challenges are inherently unpredictable and difficult to control. Social-ecological systems (SESs) approaches explicitly recognize the connections and feedbacks between human and natural systems. For addressing the complex challenges of the Anthropocene, consideration of SES attributes such as causality (or interdependence), feedback, non-linearity, heterogeneity, and cross-scale dynamics is important. In addition, innovative qualitative and quantitative methods such as Bayesian networks, agent-based modelling, system dynamics, network analysis, multicriteria analysis, integrated assessment and role-play games have recently been used in SES research. The overall goal of this review is to gauge the extent to which SES attributes and methods are considered within the current interdisciplinary water paradigm. The paper therefore develops the normative theoretical characteristics of SES in terms of its key attributes (i.e. causality, feedback, heterogeneity, nonlinearity, and cross-scale dynamics) incorporated in the water paradigm approaches. The paper then compares the methods applied in the interdisciplinary water paradigm and examines how they can complement each other. Finally, the paper reflects back on the usefulness of SES attributes and methods for assessing the interdisciplinary water paradigm and makes recommendations for future research
The need to quantify authors’ relative intellectual contributions in a multi-author paper
No full textMeasuring the contribution of each author of a multi-author paper has been a long standing concern. As a possible solution to this, we propose a list of intellectual activities and logistic support activities that might be involved in the production of a research paper. We then develop a quantitative approach to estimate an author's relative intellectual contribution to a published work. An author's relative intellectual contribution is calculated as the percent contribution of an author to each intellectual activity involved in the production of the paper multiplied by a weighing factor for each intellectual activity. The relative intellectual contribution calculated in this way can be used to determine the position of an author in the author list of a paper. Second, a corrected citation index for each author, called the T-index, can be calculated by multiplying the relative intellectual contribution by the total citations received by a paper. The proposed approach can be used to measure the impact of an author of a multi-authored paper in a more accurate way than either giving each author full credit or dividing credit equally. Our proposal not only resolves the long standing concern for the fair distribution of each author's credit depending on his/her contribution, but it will also, hopefully, discourage addition of non-contributing authors to a paper
High resolution COD image analysis for health monitoring of reinforced concrete structures through inverse analysis
No full textDirect and inverse problems of a fracture mechanics based RC beam model are solved. Solution of the direct problem that maps crack bridging stresses into Crack Opening Displacements (COD) is straightforward, but the inverse problem is ill-posed, and better solved by the theory of inverse problems. This paper exploits the Tikhonov regularization method to solve the inverse problem, and estimates the force and location of rebar in buried concrete from CODs. Bending tests are carried out on model RC beams in the laboratory to demonstrate the applicability of the method. During the tests, a microscopic camera snaps high resolution digital pictures of cracked concrete surface. The images are analyzed by a software to measure surface CODs that are input into the inverse problem. The practical CODs inevitably include noise due to experimental error, which makes the inverse problem ill-posed, and necessitates regularization. In the current inverse analysis by the Tikhonov Regularization method, bridging stress profiles, i.e. variation of the crack bridging stress along the crack length, has been figured out. Results are compared with those from other theoretical methods of analysis as well as with the readings from strain gauges. The method is a suitable non-destructive means for existing structures in cases where the section information is inadequate, or damages/repairs have altered the designed cross-section
Theory of inverse problems for crack bridging stresses determination
No full textA new mathematical procedure has been proposed for the determination of crack bridging stresses from perturbed crack opening displacements (COD) in fiber composites. The problem is an ill-posed inverse problem and the proposed procedure exploited concepts from functional analysis and the theory of inverse problems. The transformation from crack bridging stress into COD has been linearized, where the continuous crack bridging stresses functions of infinite dimensional vector spaces were approximated into finite dimensional subspaces. The coordinate representation of functions and the matrix of the transformation facilitated a numerical solution to the inverse problem. Self consistent direct and inverse problems were solved numerically in context to an example. Results establish that the proposed mathematical procedure produces fairly accurate results for engineering application
Poisoning the Mind: Arsenic Contamination of Drinking Water Wells and Children's Educational Achievement in Rural Bangladesh
No full textBangladesh has experienced the largest mass poisoning of a population in history owing to contamination of groundwater with naturally occurring inorganic arsenic. Prolonged drinking of such water risks development of diseases and therefore has implications for children's cognitive and psychological development. This study examines the effect of arsenic contamination of tubewells, the primary source of drinking water at home, on the learning outcome of school-going children in rural Bangladesh using recent nationally representative data on secondary school children. We unambiguously find a negative and statistically significant correlation between mathematics scores and arsenic-contaminated drinking tubewells at home, net of the child's socio-economic status, parental background and school specific unobserved correlates of learning. Similar correlations are found for an alternative measure of student achievement and subjective well-being (i.e. self-reported measure of life satisfaction), of the student. We conclude by discussing the policy implication of our findings in the context of the current debate over the adverse effect of arsenic poisoning on children.subjective well-being, Madrasa, drinking water pollution, Bangladesh
Transforming the old into a foundation for the new - lessons of the Moldova ARIA Project
No full textThis paper is a case study of what is recognized as one of the more successful projects in any country in the Europe and Central Asia region, not to mention in the poorest country of the region-Moldova. The ARIA project shows new ways to attack some of the most intractable problems of private sector development in Europe and Central Asia: how to facilitate reorganization and liquidation bankruptcies; how to promote small and medium enterprise spin-offs and new start-ups; and how to promote new learning at the enterprise level, both in the form of"Marshall Plan"programs with more advanced post-socialist countries, as well as continuous improvement programs (such as those adapted from Japanese programs). The prime mover for these programs is the quasi-public restructuring agency, ARIA, which was established as part of the Moldova Private Sector Development I loan. ARIA was structured to try to combine private sector entrepreneurship with a public function in the process of restructuring and bankruptcy. The study tries to account for the strategies and innovations that lead to results. And it tries to connect the ARIA strategy to past development literature by viewing the study through Albert Hirschman's work on social learning and change.Enterprise Development&Reform,Public Health Promotion,Banks&Banking Reform,Health Monitoring&Evaluation,Small Scale Enterprise,Health Monitoring&Evaluation,Banks&Banking Reform,Small Scale Enterprise,Microfinance,Private Participation in Infrastructure
Regularization of Inverse Problems in Reinforced Concrete Fracture
No full textReinforced concrete (RC) beams with flexural cracks are simulated by the bridged crack model. The weight function method of determining stress intensity factors has been followed to derive a transformation between the crack bridging force (the rebar force) and the crack opening displacements (CODs). The matrix of the transformation is then approximated by its finite difference equivalent within finite dimensional vector spaces. Direct problem of the transformation solves for CODs, which require a known rebar force. Alternatively, the inverse problem works out the rebar force from known CODs. But, the inverse transformations of such convolution type integral equations become ill-posed if input CODs are perturbed. The Tikhonov regularization method is followed in its numerical form to regularize the linear ill-posed inverse problem. Restoration of mathematical stability and consistency are demonstrated by specific examples, where the results of the direct and the corresponding inverse problem are cross-checked. Results of the direct problem (i.e. the analytical CODs) are deliberately perturbed by adding machine generated random numbers of a certain width. The inverse problems are solved with these CODs to simulate practical situations, where measured CODs data will inevitably be noisy. Computations reveal that the inverse analysis of CODs satisfactorily determines the rebar force without cross-section information
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