1,720,957 research outputs found
Resilience analysis: a mathematical formulation to model resilience of engineering systems
Get PDFResilience of engineering systems is related to their ability of absorbing both gradual and abrupt changes under exposure conditions and rapidly recover from disruptions. In this thesis, we develop a general stochastic formulation to model the recovery process and quantify system's resilience. In particular, we develop models for time-dependent capacity of a system and the imposed demand, under joint effects of recovery and shock deterioration processes. Using the developed models, a recovery curve is formulated in terms of system's reliability, functionality and work progress. Furthermore, we propose a novel approach for resilience analysis by defining measures to capture characteristics of recovery curves. The proposed approach makes a distinction in resilience of systems with different recovery patterns. A numerical example is provided to illustrate the application of the model.Submission published under a 24 month embargo labeled 'Closed Access', the embargo will last until 2018-05-01The student, Neetesh Sharma, accepted the attached license on 2016-04-26 at 10:51.The student, Neetesh Sharma, submitted this Thesis for approval on 2016-04-26 at 10:56.This Thesis was approved for publication on 2016-04-26 at 12:38.DSpace SAF Submission Ingestion Package generated from Vireo submission #9502 on 2016-07-07 at 14:18:01Made available in DSpace on 2016-07-07T21:18:05Z (GMT). No. of bitstreams: 2
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Previous issue date: 2016-04-26Embargo set by: Seth Robbins for item 93315
Lift date: 2018-07-07T21:18:16Z
Reason: Author requested closed access (OA after 2yrs) in Vireo ETD systemLimited Restriction Lifted for Item 93315 on 2018-07-08T09:15:36Z
Going Beyond Counting First Authors in Author Co-citation Analysis
Get PDFThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Variations on the Author
Get PDF“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
Get PDFWe provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
Dispelling the Myths Behind First-author Citation Counts
Get PDFWe conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
Regional resilience analysis: Modeling, optimization, and uncertainty quantification
Get PDFU of I OnlyEmbargo set by: Seth Robbins for item 117221
Lift date: 2023-03-05T21:43:00Z
Reason: Author requested U of Illinois access only (OA after 2yrs) in Vireo ETD systemModern urban society's prosperity depends on the continuous flow of essential resources and services provided by the critical infrastructure. Ensuring the critical infrastructure's reliability and resilience is cardinal to ensure public safety and economic stability. However, past events have highlighted the infrastructure's vulnerability to disruptions caused by natural or anthropogenic hazards. Furthermore, complex interdependencies among infrastructure can cause disruptions to propagate within and across infrastructure, resulting in multi-fold catastrophic consequences on individuals, households, businesses, and communities. The consequences of past disasters have emphasized the need for hazard mitigation and recovery planning for infrastructure. Case studies of post-disaster recovery of different communities worldwide have indicated that successful recovery requires effective governance, intensive planning, community engagement, and intelligent use of resources. However, hazard mitigation and post-disaster recovery of infrastructure represent significant investments. Despite the expected economic advantage of investing in disaster preparedness, communities, businesses, and governments often struggle to budget their limited financial resources toward mitigation and recovery efforts. The uncertainty in predicting the occurrence and impacts of future hazards further increases the complexity of justifying large investments. There is a pressing need for rigorous and accurate models of infrastructure to reduce societal risk and improve regional resilience.
This dissertation develops a novel classification of infrastructure interdependencies and a general mathematical formulation for modeling interdependent infrastructure. Specifically, the developed classification partitions the space of infrastructure interdependencies based on their ontological and epistemological dimensions. Under the ontology dimension, infrastructure interdependencies are classified into chronic and episodic. Under the epistemology dimension, infrastructure interdependencies are classified according to their mathematical modeling. The proposed classification better enables us to understand and mathematically model several classes of infrastructure interdependencies. The proposed mathematical formulation models infrastructure as a set of generalized flow networks while using dynamic interfaces to model the interdependencies. Carefully chosen working and benchmark examples illustrate the implementation and the advantages of the proposed formulation in providing accuracy while tackling the computational challenges.
The dissertation then develops a rigorous mathematical formulation to model recovery, quantify resilience, and optimize large-scale infrastructure resilience. Specifically, a multi-scale recovery process model is proposed that significantly reduces the computational cost while favoring practical and easily manageable recovery schedules. The proposed resilience metrics then quantify the regional resilience by capturing the recovery process's temporal and spatial variations. A multi-objective optimization problem is then framed to improve regional resilience in terms of the proposed metrics while minimizing the recovery cost. The proposed recovery modeling is also integrated into a stochastic life-cycle formulation to account for the effects of infrastructure deterioration. The proposed approach is illustrated through large-scale examples for the post-disaster recovery modeling of infrastructure.
Engineering models for critical infrastructure and measures of the societal impact, if developed in isolation, would not be sufficient to improve community resilience. This dissertation integrates the developed engineering models with existing social science approaches to comprehensively model the impact of hazards on communities and their recovery. Specifically, in combination with a reliability-based capability approach, the developed infrastructure models are used to predict the broad societal impact of hazards in terms of changes in dimensions of individuals' well-being. Some of these concepts are then explained through an example, modeling the dynamics of physical-social systems.
Finally, the dissertation also provides an uncertainty propagation formulation for continuous improvement of the developed models and directing further research and data collection efforts. The proposed formulation quantifies the relative importance of engineering and social science models in evaluating the desired community resilience objectives. Specifically, a variable grouping using the interface function values' statistics decouples the regional resilience analysis into the constituent models, reducing the problem dimensions. The computationally intensive models are then identified, and an experimental design is developed for these models to reduce the total computation cost. The uncertainty propagation framework is performed using a global sensitivity analysis based on Sobol's indices.Submission published under a 24 month embargo labeled 'U of I Access', the embargo will last until 2022-12-01The student, Neetesh Sharma, accepted the attached license on 2020-11-30 at 22:16.The student, Neetesh Sharma, submitted this Dissertation for approval on 2020-11-30 at 22:18.This Dissertation was approved for publication on 2020-12-02 at 08:11.DSpace SAF Submission Ingestion Package generated from Vireo submission #16003 on 2021-03-04 at 16:20:15Made available in DSpace on 2021-03-05T21:42:45Z (GMT). No. of bitstreams: 3
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Previous issue date: 2020-12-02Author requested U of Illinois access only (OA after 2yrs) in Vireo ETD syste
koamabayili/VECTRON-author-checklist: VECTRON author checklist
No full textWe have done our best to complete the author checklist relating to the use of animals in the hut study. Note that the objective for the hut study was to evaluate the IRS treatment applications for residual efficacy against Anopheles mosquitoes, including the local An. coluzzii mosquito population. Cows were only used to attract mosquitoes into the huts and no tests were carried out directly on the cows. The author checklist is intended for use with studies where experiments are carried out on animals, which is why we have had such difficulty in completing this for the hut study, as many of the questions do not relate to how the cows were used
Author-wise bibliometric analysis based on entropy.
No full textAuthor-wise bibliometric analysis based on entropy.</p
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