Daniela Galatro - Academia.edu (original) (raw)

Papers by Daniela Galatro

Frontiers in Education, Apr 20, 2023

2019 21st European Conference on Power Electronics and Applications (EPE '19 ECCE Europe)

How to cite TSpace items Always cite the published version, so the author(s) will receive recogni... more How to cite TSpace items Always cite the published version, so the author(s) will receive recognition through services that track citation counts, e.g. Scopus. If you need to cite the page number of the author manuscript from TSpace because you cannot access the published version, then cite the TSpace version in addition to the published version using the permanent URI (handle) found on the record page.

Algorithms

Acute myeloid leukemia (AML) is a type of blood cancer that affects both adults and children. Ben... more Acute myeloid leukemia (AML) is a type of blood cancer that affects both adults and children. Benzene exposure has been reported to increase the risk of developing AML in children. The assessment of the potential relationship between environmental benzene exposure and childhood has been documented in the literature using odds ratios and/or risk ratios, with data fitted to unconditional logistic regression. A common feature of the studies involving relationships between environmental risk factors and health outcomes is the lack of proper analysis to evidence causation. Although statistical causal analysis is commonly used to determine causation by evaluating a distribution’s parameters, it is challenging to infer causation in complex systems from single correlation coefficients. Machine learning (ML) approaches, based on causal pattern recognition, can provide an accurate alternative to model counterfactual scenarios. In this work, we propose a framework using average treatment effec...

Proceedings of the Canadian Engineering Education Association (CEEA)

Education 4.0 is the framework to facilitate the development of skills and competencies of engine... more Education 4.0 is the framework to facilitate the development of skills and competencies of engineering students required for Industry 4.0 through the integration of Industry 4.0 applied concepts, networked approach, digitalization of higher education institutions (HEI), and online advancement of teaching and learning practices. In the chemical engineering curriculum of several HEIs, considerable progress in implementing this framework has been made by including computer-aided design tools, updating manufacturing technologies, using simulation and analysis of virtual models, and implementing data analytics in engineering courses and programs. Process and plant design courses such as Plant Design demand that undergraduate students leverage knowledge from core courses completed during first three years of their degree program by developing a plant's conceptual design. This course clearly sets a pathway to integrate Education 4.0 to Industry 4.0. All stakeholders of this course (stu...

Doctoral attrition (DA) is a phenomenon of graduate students choosing to discontinue graduate stu... more Doctoral attrition (DA) is a phenomenon of graduate students choosing to discontinue graduate studies and is universally encountered across all academic disciplines. Key parameters, that are typically perceived as valuable by Ph.D. students, are identified from a systematic literature review; and the Chakraborty-Galatro (CG) probabilistic equation is formulated to predict the likelihood of a successful Ph.D. experience, called the Doctoral Success Likelihood (DSL), thus minimizing; possibly eliminating DA. Our model provides prospective/novice graduates with a novel framework to self-assess and predict the success likelihood of their Ph.D. journey. Such a framework enables the graduate student to judiciously self-assess and make a rationally informed decision about their career, rather than taking a blind leap of faith. Our equation also accommodates force-majeure circumstances (such as a pandemic, the bereavement of a loved one, mental health issues, etc.), which may significantly impact the time taken to graduate (TTD); leading to a candidate choosing to drop out. Such circumstances typically derail/delay doctoral progress, and can push an initially feasible set of probabilities, into an undesired "infeasibility triangle". Higher the net probability values obtained from our equation, stronger the likelihood of an enriching Ph.D. experience. When periodically tracked, our proposed equation can also help students identify and calibrate their own doctoral experience, while capturing tangible feedback and perspectives for both students, and supervisors. One author presents his own doctoral journey, applying the CG equation to evaluate DSL values for his Ph.D., over a three-year period.

Environmental Earth Sciences

Environmental Technology & Innovation

Among the different natural sources of drinking water, aquifers are the most exposed to the envir... more Among the different natural sources of drinking water, aquifers are the most exposed to the environmental pressures posed by old landfills. Conventional monitoring methods to follow up the migration of leachate into groundwater and the generation of biogases in landfills are costly, time-consuming, and only provide a partial picture of these complex systems. Alternatively, we present the results of a non-invasive and costeffective methodology applied to a non-engineered (i.e., no gas or liquid recovery systems) closed landfill in southern Ontario. The study combines, through a numerical approach, data from a direct current (DC) resistivity and an Induced Polarization (IP) survey, with measurements of methane concentrations taken over the landfill. We used a Dipole-Dipole array along four regional Lines of approximately 300 meters each, cutting crosswise and throughout the strike of the site. The interpretation of the inverted resistivity and IP data allowed us to recognize and describe some hydrogeological features that went unnoticed by using conventional monitoring techniques. We also applied a hybrid algorithm that incorporates fuzzy logic to neural networks (ANFIS) for causal variable forecasting of surface methane concentrations, using geoelectrical proxies of leachate accumulation as antecedent parameters (i.e. minimum resistivity and their corresponding IP values). The ANFIS provided a statistically significant inference of the main tendencies of methane concentrations along the surveyed Lines. Some coarse inferences appear to be locally associated with IP bright spots of anomalous metal ion content. Overall, a better inference seems to be hampered by the uncertainties involved in the generation of biogas and its upward flow through the soil cover. These results substantiate the feasibility of employing surface methane concentration data as a first diagnostic test to characterize the areal extent of the leachate plume underground.

The Canadian Journal of Chemical Engineering

Chemical engineering transactions, 2012

Sustainable sources of renewable energies are highly valuable in a world where the global energy ... more Sustainable sources of renewable energies are highly valuable in a world where the global energy demand is considerably increasing. The conceptualization of an efficient alternative fuel process production is based on the synergy of the reaction engineering, thermal integration, separation optimization, etc. Process simulation software are powerful tools that allows process designers to integrate these modules to get an optimized design: sustainable, environmentally friendly and cost efficient. A simulation model of the hydrogen production from micro-algae biomass was developed in Pro II. Algae are a rich source of carbohydrates. Sugars can be obtained by hydrolysis and then fermented to produce bioethanol which is consequently converted to hydrogen by catalytic reforming. The simulation was structured in three (3) main reaction units and corresponding side sub-units / equipment as separation trains, heat exchangers, etc. The first reaction unit is the enzymatic hydrolysis of micro-...

Journal of Energy Storage, 2021

Frontiers in Heat and Mass Transfer, 2020

This work presents a succinct review of the thermal behavior of lithium-ion batteries (LIBs) and ... more This work presents a succinct review of the thermal behavior of lithium-ion batteries (LIBs) and its relationship with aging, heat generation, thermal management and thermal failure. This work focuses on the temperature effects that promote the main aging mechanisms in the anode and compare these effects among different cell chemistries for calendar and cycling aging modes. We review the strategies to mitigate aging, including the design of the battery thermal management system (BTMS), best practices of battery users to minimize the effect of stress factors, and the appropriate selection of the anode material. We discuss the heat generation and surface temperature variations in LIBs, including comparisons among different cell chemistries. We analyze the thermal failure of LIBs due to extreme events that cannot be countered by the BTMS, such as overcharge. Finally, the main challenges and opportunities related to the impact of the thermal behavior of LIBs on their performance and life cycle are identified, including trends in anode material selection, BTMS design, and fast-charging methods.

International Journal of Energy Research, 2020

This work summarizes the findings resulting from applying an aging modeling approach to four diff... more This work summarizes the findings resulting from applying an aging modeling approach to four different capacity loss experimental datasets of lithium‐ion batteries (LIBs). This approach assumes that the degradation trajectory of the capacity is a function of three variables: time, kinetic constant, and time‐dependent factor. The analysis shows that the time‐dependent factor α is cell‐chemistry dependent and cannot be averaged for calendar and cycling modes and combined modes. This factor was also found to be a function of the stress factors. A quadratic model was used to obtain the kinetic constants per test, and statistical metrics were provided to evaluate the quality of the fitting, which was significantly affected when using averaged values of α and refitted kinetic constants. A set of test matrices is proposed for calendar, cycling, and mixed aging modes to overcome the challenges of data‐based models developed from accelerated test approaches for modeling aging in LIBs. This work also proposes a methodology to develop these data‐based aging models.

A model simulation was developed using Pro II to estimate inverted sucrose rate in a triple effec... more A model simulation was developed using Pro II to estimate inverted sucrose rate in a triple effect evaporator of sugarcane juice. Dextrose and Fructose VLE parameters were included in the simulation. A set of correlations to estimate inversion sucrose rate based on empirical data compiled from qualified references were also included in the model. All results obtained by this sub-model were compared with experimental values and in all cases the relative error was under 5%. A Pinch analysis was performed by a module in Excel linked with Pro II. The minimum energy requirement of the system was estimated based on the vapour consumption calculated by Pro II. It was possible to reach near 20% of energy reduction, keeping the inverted sugars percentage under specification (max. 0.2% per each effect).

Volume 1: Design and Construction; Environment; Pipeline Automation and Measurement, 2014

Hydrodynamic slugs in pipelines are usually analyzed by using a steady-state flow assurance simul... more Hydrodynamic slugs in pipelines are usually analyzed by using a steady-state flow assurance simulator as a first approximation. The pipelines are then modeled in transient simulation software to get more accurate values. Comparisons between an empirical and a mechanistic method are made in this work by running simulations in steady-state simulators in order to explain the differences in the calculated slug properties. It has been demonstrated that both methods cannot accurately estimate the maximum slug length in pipelines since the relative errors are significant; nevertheless the mechanistic model is more accurate than the empirical one with lower relative errors.Additionally, slug sizes for operational slugging have been analyzed by using a new alternative pseudo transient approach to the Lagrangian slug tracking scheme. The model expresses an unsteady state mass balance in a pipeline, formulated utilizing the slip velocity written in terms of the void fraction and superficial gas velocity. Our model includes a constitutive equation for slip velocity, elevation changes to represent the hydraulic profile of the pipeline, a method for the calculation of the maximum slug length, a modified correlation for the slug length calculation and the variation of the fluid density along the pipeline profile. The results yielded by this model have been compared with field data and results performed by using a transient simulation software, showing fairly accurate values.Copyright © 2014 by ASME