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Articles 1 - 5 of 5
Full-Text Articles in Engineering
Transparency And Algorithmic Governance, Cary Coglianese, David Lehr
Transparency And Algorithmic Governance, Cary Coglianese, David Lehr
All Faculty Scholarship
Machine-learning algorithms are improving and automating important functions in medicine, transportation, and business. Government officials have also started to take notice of the accuracy and speed that such algorithms provide, increasingly relying on them to aid with consequential public-sector functions, including tax administration, regulatory oversight, and benefits administration. Despite machine-learning algorithms’ superior predictive power over conventional analytic tools, algorithmic forecasts are difficult to understand and explain. Machine learning’s “black-box” nature has thus raised concern: Can algorithmic governance be squared with legal principles of governmental transparency? We analyze this question and conclude that machine-learning algorithms’ relative inscrutability does not pose a …
Introducing Writing Assignments In Engineering Technology Courses To Enhance Technical Writing Skills And Critical Thinking, Otilia Popescu, Vukica M. Jovanovic
Introducing Writing Assignments In Engineering Technology Courses To Enhance Technical Writing Skills And Critical Thinking, Otilia Popescu, Vukica M. Jovanovic
Engineering Technology Faculty Publications
This study was prompted by the university wide initiative to improve students' technical writing skills across-the-curriculum by introducing low stakes writing assignments as early as in their freshman year. Effective written communication skills are important for engineering education, with critical thinking being one of the most important aspects of the learning process at the college level. However, the efforts in required core curriculum English and communication courses are not always further integrated into engineering curriculum. Introducing a technical paper writing assignment in lower division engineering courses had the purpose of helping students to be better prepared for major writing assignments …
Discovery Of Communications Patterns By The Use Of Intelligent Reasoning, J Fulcher, Minjie Zhang, Q Bai, F Ren
Discovery Of Communications Patterns By The Use Of Intelligent Reasoning, J Fulcher, Minjie Zhang, Q Bai, F Ren
Faculty of Engineering and Information Sciences - Papers: Part A
An agent-based model of communications traffic generated within a social network is described, which caters for various knowledge discovery techniques to be used in order to extract 'interesting' temporal patterns contained within anomalous data records. Attendant Java-based software — NetShow — is presented which enables analysis and display of static network configuration, links between network nodes, and correlations between the traffic passing through nominated nodes. In addition, display of network dynamics is facilitated via the incorporation of swarm techniques. Related issues of 'similarity', 'familiarity' and 'contact lists' are discussed within the context of Social Network Analysis and Link Mining. Finally, …
Inter-Occlusion Reasoning For Human Detection Based On Variational Mean Field, Duc Thanh Nguyen, Wanqing Li, Philip O. Ogunbona
Inter-Occlusion Reasoning For Human Detection Based On Variational Mean Field, Duc Thanh Nguyen, Wanqing Li, Philip O. Ogunbona
Faculty of Engineering and Information Sciences - Papers: Part A
Detecting multiple humans in crowded scenes is challenging because the humans are often partially or even totally occluded by each other. In this paper, we propose a novel algorithm for partial inter-occlusion reasoning in human detection based on variational mean field theory. The proposed algorithm can be integrated with various part-based human detectors using different types of features, object representations, and classifiers. The algorithm takes as the input an initial set of possible human objects (hypotheses) detected using a part-based human detector. Each hypothesis is decomposed into a number of parts and the occlusion status of each part is inferred …
Cognitive Processes In Object-Oriented Requirements Engineering Practice: Analogical Reasoning And Mental Modelling, Linda Dawson
Cognitive Processes In Object-Oriented Requirements Engineering Practice: Analogical Reasoning And Mental Modelling, Linda Dawson
Faculty of Engineering and Information Sciences - Papers: Part A
This chapter presents a background in cognitive processes such as problem-solving and analogical reasoning for considering modelling from an object-oriented perspective within the domain of requirements engineering. This chapter then describes a research project and the findings from a set of four cases which examine professional practice from perspective of cognitive modelling for object-oriented requirements engineering. In these studies, it was found that the analysts routinely built models in their minds and refined them before committing them to paper or communicating these models to others. The studies also showed that object-oriented analysts depend on analogical reasoning where they use past …