59 research outputs found
Appendix for "Properties and Styles of Software Technology Tutorials"
No full text<p>This artifact contains details of the resource collection, analysis scripts, and data analyzed in the paper "Properties and Styles of Software Technology Tutorials" by Deeksha M. Arya, Jin L.C. Guo, and Martin P. Robillard.</p>
RDD2020: An Image Dataset for Smartphone-based Road Damage Detection and Classification
No full textThe RDD2020 dataset contains 26336 road images collected from India, Japan, and the Czech Republic with more than 31000 instances of road damage. The dataset contains annotation for four damage categories: Longitudinal Cracks(D00), Transverse Cracks(D10), Alligator Cracks(D20), and Potholes(D40); and is intended for developing deep learning-based methods to detect and classify road damage automatically.
The images in RDD2020 were captured using vehicle-mounted smartphones, making it useful for municipalities and road agencies to develop methods for low-cost monitoring of road pavement surface conditions.
Further, the machine learning researchers can use the datasets for benchmarking the performance of different algorithms for solving other problems of the same type (classification, object detection, etc.). For instance, the Global Road Damage Detection Challenge (GRDDC'2020), organized as an IEEE Big Data Cup in 2020, utilized the dataset RDD2020 to evaluate the road damage detection models proposed by the participants. An overview of the challenge is provided in the video https://www.youtube.com/watch?v=8sh70wjn1aI.
The readers may access the latest updates and the articles related to the dataset at https://www.researchgate.net/project/Global-Road-Damage-Detection
ArguLens: Anatomy of Community Opinions On Usability Issues Using Argumentation Models
No full textIn open-source software (OSS), the design of usability is often influenced by the discussions among community members on platforms such as issue tracking systems (ITSs). However, digesting the rich information embedded in issue discussions can be a major challenge due to the vast number and diversity of the comments. We propose and evaluate ArguLens, a conceptual framework and automated technique leveraging an argumentation model to support effective understanding and consolidation of community opinions in ITSs. Through content analysis, we anatomized highly discussed usability issues from a large, active OSS project, into their argumentation components and standpoints. We then experimented with supervised machine learning techniques for automated argument extraction. Finally, through a study with experienced ITS users, we show that the information provided by ArguLens supported the digestion of usability-related opinions and facilitated the review of lengthy issues. ArguLens provides the direction of designing valuable tools for high-level reasoning and effective discussion about usability
Communicating Study Design Trade-offs in Software Engineering
No full textReflecting on the limitations of a study is a crucial part of the research process. In software engineering studies, this reflection is typically conveyed through discussions of study limitations or threats to validity. In current practice, such discussions seldom provide sufficient insight to understand the rationale for decisions taken before and during the study, and their implications. We revisit the practice of discussing study limitations and threats to validity and identify its weaknesses. We propose to refocus this practice of self-reflection to a discussion centered on the notion of trade-offs. We argue that documenting trade-offs allows researchers to clarify how the benefits of their study design decisions outweigh the costs of possible alternatives. We present guidelines for reporting trade-offs in a way that promotes a fair and dispassionate assessment of researchers’ work
Full Mouth Rehabilitation with Modified Andrew’s Bridge Following Le Fort Osteotomy for a Patient with Maxillary Retrognathia
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Link Weight Tolerance: A study of betweenness centrality and data transmission in complex networks
No full textLinks play a significant role in the functioning of a complex network. The aim of this thesis is to study the links in a weighted network by introducing two new concepts. The link betweenness centrality of a link is defined as the fraction of shortest paths between all pairs of nodes in a graph that traverses that link. Although link betweenness is a widely known measure that characterizes the link, we introduce the concept, link weight tolerance, to understand the extent to which the weight of the link can be increased or decreased such that the shortest paths in the graph are unaffected, therefore the link betweenness of the links remain the same. We develop a method to generate the positive and negative tolerance of a link. We use examples to illustrate the algorithm and discuss the results. Prior to introducing this concept, in addition to surveying existing network theory measures, we also analyse the metric, betweenness centrality and describe the methods used to generate weighted and unweighted random graphs. To extend the concept of link betweenness, we introduce the second concept, link tension. Link tension provides the information related to the ability of the link to handle transmission of data and shows us the links that are important in a network.Electrical Engineering | Embedded System
Inculcating a sense of stewardship and responsibility towards urban trees amongst citizens: Using i-tree technology as a means to facilitate active participation of local communities in urban forestry
No full textCities are in an urgent need to adapt to the impacts of climate change, particularly, high temperatures and heat stress. Urban Forests are the most effective means of climate adaptation. However, the multiple benefits of urban trees are highly undervalued in the urban contexts. This project focuses on positioning urban trees as effective agents in improving the overall liveability of cities. The premise of the project lies in the fuzzy front end of the innovation process where the i-Tree technology is being redeveloped for its effective adoption in Netherlands. The goal of the project is to synchronize the technical potential of i-Tree as a tool and communicate the benefits of trees to multiple stakeholders in the process.The overall design direction aims to address these problems through a series of interventions across the system of urban forestry. The concept introduces a public awareness campaign to bridge the knowledge gap between citizens and other stakeholders. The campaign is proposed to stretch over a duration of 10-11 months with several touchpoints along the way for citizens to get enthusiastic about the idea of maintaining and taking care of urban trees. The touchpoints aim to target events like Dutch Design week, Boomfeestdag (Tree Festival) and Springsnow festival. To make the awareness program desirable and interesting. A podcast series and a guide is developed called “How to befriend a Tree?”. A concept for the i-Tree Eco tool is proposed which communicates tree benefits in a way that is comprehensible by all the citizens. All the touch points lead the audience of the campaign to the digital platform of i-Tree Netherlands which helps people become caretakers of trees easily.Strategic Product Desig
Numerical Modelling of Power Transformers under Geomagnetically Induced Currents
No full textModelling of power transformers to predict and examine its performance in the presence of Geomagnetic Induced Currents (GICs) is of particular interest in research since these currents that are quasi-DC in nature drive the transformer into half-cycle saturation. During the half-cycle saturation, the increased leakage flux and harmonics have undesirable effects on the windings and the structural components of the transformer, which can possibly lead to their permanent damage. This prompts the need to perform a precautionary study of the transformer validating its robustness when subject to GICs. This thesis proposes a method to model the transformer and its electromagnetic (EM) behaviour under GICs that combines the accuracy of Finite Element Modelling (FEM) with the speed of Magnetic Equivalent Modelling (MEM) to produce a fast-computing yet detailed modelling method using simulation tools, COMSOL and MATLAB Simulink, respectively. The transformer under study in this thesis is a single-phase 280MVA, 500/230kV auto transformer designed by Royal Smit Transformers. It was first modelled using FEM in COMSOL, providing details of the equivalent 2D axisymmetric geometry of the core and the windings and the material properties to each component. The model was then computed and validated against factory measurements done by Royal SMIT for the transformer when not subjected to GICs. After which, the model was run for the condition in which the transformer is subject to a GIC. The main problem of failure of the model to converge before reaching steady-state condition under GIC was overcome after optimizing the solver settings of the FEM software. The difference in the EM behaviour of the transformer with and without GIC were studied. After ensuring that the FEM model was robust and accurately represents the transformer under GIC as well, the time-consuming part of computing the FEM model till it reached steady-state under GIC was then made to be taken care of by a MEM model developed in Simulink. Induced flux versus magnetizing current characteristics of the transformer were obtained from the FEM model, and fed to the MEM model, which only took a few seconds to run. The magnetizing current waveform obtained for a few cycles after reaching steady-state under GIC was then transferred to the FEM model, which could finally compute - for those values of magnetizing current - the detailed EM effects of GICs on the transformer, spatially. An important EM study needing the spatial distribution of the EM properties within the transformer is the calculation of eddy current losses in the windings. In this thesis, a method that only considers the envelope of the set of windings as opposed to modelling every strand to calculate their losses is developed using an analytical formula found in literature. This is validated against the losses calculated by Royal SMIT as well as the FEM software for a detailed model of the windings. The timesaving method to study the EM behaviour of transformers subject to GIC proposed in this thesis accurately models the transformer in the saturation region that should enable conducting EM studies furthermore to winding loss calculation with ease.Electrical Engineering | Electrical Power Engineerin
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