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Articles 1 - 15 of 15
Full-Text Articles in Engineering
Replication Data For: Comparing Teamwork & Collaboration Competencies Between A Technology In Art Education Course And An Engineering Project Management Course, Martin Wallace, Ryan Hulla
Replication Data For: Comparing Teamwork & Collaboration Competencies Between A Technology In Art Education Course And An Engineering Project Management Course, Martin Wallace, Ryan Hulla
UTA Libraries Datasets
This data was collected over two academic years, 2018/19 and 2019/20 from students enrolled in two courses at UTA: ART 4365 Technology in Art Education and IE 4340 Engineering Project Management. The data collection instruments were pre- and post-self assessment surveys, distributed at the beginning and end of the semester. The data includes student-self reported competencies for Maker Competencies 9 and 10, "Assembles Effective Teams" and "Collaborates Effectively" on a range of 1 (low) to 5 (high).
Covid-19 In Spain And India: Comparing Policy Implications By Analyzing Epidemiological And Social Media Data, Parth Asawa, Manas Gaur, Kaushik Roy, Amit P. Sheth
Covid-19 In Spain And India: Comparing Policy Implications By Analyzing Epidemiological And Social Media Data, Parth Asawa, Manas Gaur, Kaushik Roy, Amit P. Sheth
Publications
The COVID-19 pandemic has forced public health experts to develop contingent policies to stem the spread of infection, including measures such as partial/complete lockdowns. The effectiveness of these policies has varied with geography, population distribution, and effectiveness in implementation. Consequently, some nations (e.g., Taiwan, Haiti) have been more successful than others (e.g., United States) in curbing the outbreak. A data-driven investigation into effective public health policies of a country would allow public health experts in other nations to decide future courses of action to control the outbreaks of disease and epidemics. We chose Spain and India to present our analysis …
Prospects Of The Development Of Unmanned Aerial Vehicles (Uavs), Rakhimjon Shokirov, Nuriddin Abdujabarov, Takhirov Jonibek, Kadamboy Saytov, Saidbek Bobomurodov
Prospects Of The Development Of Unmanned Aerial Vehicles (Uavs), Rakhimjon Shokirov, Nuriddin Abdujabarov, Takhirov Jonibek, Kadamboy Saytov, Saidbek Bobomurodov
Technical science and innovation
This article outlines the current state of research and development for autonomous unmanned aircraft for civil use. Specifically, the history of UAVs for civil use, research and development in the world, and the topics and prospects for the control and operation of autonomous UAVs for civil use are defined. The perspectives for the use of unmanned aerial vehicles (UAVs) are addressed, programs due to the formation and problems preventing the use of UAVs are listed, and ways of increasing competitiveness are taken into account. This article provides an overview of research involving the advancement of UAV technology for the management …
A Pulse-Decay Method For Low Permeability Analyses Of Granular Porous Media: Mathematical Solutions And Experimental Methodologies, Quinhong Hu
Earth & Environmental Sciences Datasets
This dataset is for a manuscript titled "A pulse-decay method for low permeability analyses of granular porous media: Mathematical solutions and experimental methodologies" being reviewed by Water Resources Research, a journal of American Geophysical Union and Wiley (2020-07-29)
Pod In Concrete Performance Assessment, A Manoj
Pod In Concrete Performance Assessment, A Manoj
Manipal Journal of Science and Technology
The quality of ingredients and their quantity in the concrete mix decide the performance level. As the number of variables on which concrete performance depends increases, it is essential to identify those, to which the performance characteristics are sensitive. Efficacy of Proper Orthogonal Decomposition (POD) in the visualisation of patterns in data, its utility in the identification of crucial variables, prediction of performance levels, and generation of performance indices have been discussed and illustrated.
From Protecting To Performing Privacy, Garfield Benjamin
From Protecting To Performing Privacy, Garfield Benjamin
The Journal of Sociotechnical Critique
Privacy is increasingly important in an age of facial recognition technologies, mass data collection, and algorithmic decision-making. Yet it persists as a contested term, a behavioural paradox, and often fails users in practice. This article critiques current methods of thinking privacy in protectionist terms, building on Deleuze's conception of the society of control, through its problematic relation to freedom, property and power. Instead, a new mode of understanding privacy in terms of performativity is provided, drawing on Butler and Sedgwick as well as Cohen and Nissenbaum. This new form of privacy is based on identity, consent and collective action, a …
Exploratory Spatial Data Analysis In Traffic Safety, Amin Azimian, Dimitra Pyrialakou
Exploratory Spatial Data Analysis In Traffic Safety, Amin Azimian, Dimitra Pyrialakou
International Journal of Geospatial and Environmental Research
This paper presents an exploratory spatial data analysis (ESDA) of road traffic crashes at different severity levels in West Virginia (WV). Although ESDA can support transportation safety decision-making by helping planners understand and summarize crash data, it is underutilized in practice. This paper describes the application of five representative easy-to-use method to identify crash patterns and high crash-risk counties in WV. Analysis of crash data from 2010 to 2015 indicated that traffic crashes in WV were not spatially correlated. However, crash severities were found to be positively correlated.
Artificial Stupidity: Data We Need To Make Machines Our Equals, Michaël Trazzi, Roman V. Yampolskiy
Artificial Stupidity: Data We Need To Make Machines Our Equals, Michaël Trazzi, Roman V. Yampolskiy
Faculty Scholarship
AI must understand human limitations to provide good service and safe interactions. Standardized data on human limits would be valuable in many domains but is not available. The data science community has to work on collecting and aggregating such data in a common and widely available format, so that any AI researcher can easily look up the applicable limit measurements for their latest project. AI must understand human limitations to provide good service and safe interactions. Standardized data on human limits would be valuable in many domains but is not available. Data science community has to work on collecting and …
Developing A Taxonomy For Success In Commercial Pilot Behaviors, Kristine Kiernan, David S. Cross, Mark Scharf Ph.D.
Developing A Taxonomy For Success In Commercial Pilot Behaviors, Kristine Kiernan, David S. Cross, Mark Scharf Ph.D.
Publications
Human error has been well studied in aviation. However, less is known about the ways in which human performance maintains and contributes to aviation safety. The lack of data on positive human performance prevents consideration of the full range of human behaviors when making safety and risk management decisions. The concept of resilient performance provides a framework to understand and classify positive human behaviors. Through interviews with commercial airline pilots, this study examined routine airline operations to evaluate the concept of resilient performance and to develop a taxonomy for success. The four enablers of resilient performance, anticipation, learning, responding, and …
A New Data Driven Long-Term Solar Yield Analysis Model Of Photovoltaic Power Plants, Biplob Ray, Rakibuzzaman Shah, Md Rabiul Islam, Syed Islam
A New Data Driven Long-Term Solar Yield Analysis Model Of Photovoltaic Power Plants, Biplob Ray, Rakibuzzaman Shah, Md Rabiul Islam, Syed Islam
Faculty of Engineering and Information Sciences - Papers: Part B
Historical data offers a wealth of knowledge to the users. However, often restrictively mammoth that the information cannot be fully extracted, synthesized, and analyzed efficiently for an application such as the forecasting of variable generator outputs. Moreover, the accuracy of the prediction method is vital. Therefore, a trade-off between accuracy and efficacy is required for the data-driven energy forecasting method. It has been identified that the hybrid approach may outperform the individual technique in minimizing the error while challenging to synthesize. A hybrid deep learning-based method is proposed for the output prediction of the solar photovoltaic systems (i.e. proposed PV …
On Masking And Releasing Smart Meter Data At Micro-Level: The Multiplicative Noise Approach, John Brackenbury, P. Y. O'Shaughnessy, Yan-Xia Lin
On Masking And Releasing Smart Meter Data At Micro-Level: The Multiplicative Noise Approach, John Brackenbury, P. Y. O'Shaughnessy, Yan-Xia Lin
Faculty of Engineering and Information Sciences - Papers: Part B
Smart meter electricity data presents privacy risks when malicious agents gain insights of private information, including residents’ lifestyle and daily habits. When allowing access to record-level data, we apply the multiplicative noise method to mask individual smart meter data, which simultaneously aims to minimise disclosure of a dwelling’s consumption signal to any third party and to enable accurate estimation of the sum of a cluster of households. Three testing criteria are introduced to measure the performance of multiplicative noise masking approach relevant to the smart meter data. We propose a novel ‘Twin Uniform’ noise distribution and derive relevant theoretical results. …
Towards Agent-Based Traffic Simulation Using Live Data From Sensors For Smart Cities, Johan Barthelemy, Yan Qian, Pascal Perez
Towards Agent-Based Traffic Simulation Using Live Data From Sensors For Smart Cities, Johan Barthelemy, Yan Qian, Pascal Perez
SMART Infrastructure Facility - Papers
The Smart City and Internet-of-Things revolutions enable the collection of various types of data in real-time through sensors. This data can be used to improve the decision tools and simulations used by city planners. This paper presents a new framework for real-time traffic simulation integrating an agent-based methodology with live CCTV and other sensor data while respecting the privacy regulations. The framework simulates traffic flows of pedestrians, vehicles and bicycles and their interactions. The approach has been applied in Liverpool (NSW, Australia) showing promising preliminary results and can easily ingest additional sensor data, e.g. air quality.
Apex2s: A Two-Layer Machine Learning Model For Discovery Of Host-Pathogen Protein-Protein Interactions On Cloud-Based Multiomics Data, Huaming Chen, Jun Shen, Lei Wang, Chi-Hung Chi
Apex2s: A Two-Layer Machine Learning Model For Discovery Of Host-Pathogen Protein-Protein Interactions On Cloud-Based Multiomics Data, Huaming Chen, Jun Shen, Lei Wang, Chi-Hung Chi
Faculty of Engineering and Information Sciences - Papers: Part B
No abstract provided.
Refinement And Augmentation For Data In Micro Learning Activity With An Evolutionary Rule Generators, Geng Sun, Jiayin Lin, Tingru Cui, Jun Shen, Dongming Xu, Mahesh Kayastha
Refinement And Augmentation For Data In Micro Learning Activity With An Evolutionary Rule Generators, Geng Sun, Jiayin Lin, Tingru Cui, Jun Shen, Dongming Xu, Mahesh Kayastha
Faculty of Engineering and Information Sciences - Papers: Part B
Improving both the quantity and quality of existing data are placed at the center of research for adaptive micro open learning. To cover this research gap, our work targets on the current scarcity of both data and rules that represent open learning activities. An evolutionary rule generator is constructed, which consists of an outer loop and an inner loop. The outer loop runs a genetic algorithm (GA) to produce association rules that can be effective in the micro open learning scenario from a small amount of available data sources; while the inner loop optimizes generated candidates by taking into account …
A Framework Towards Data Analysis On Host-Pathogen Protein-Protein Interactions, Huaming Chen, Jun Shen, Lei Wang, Jiangning Song
A Framework Towards Data Analysis On Host-Pathogen Protein-Protein Interactions, Huaming Chen, Jun Shen, Lei Wang, Jiangning Song
Faculty of Engineering and Information Sciences - Papers: Part B
With the rapid development of high-throughput technologies, systems biology is now embracing a great opportunity made possible by the increased accumulation of data available online. Biological data analytics is considered as a critical means to contribute to a better understanding on such data through extraction of the latent features, relationships and the associated mechanisms. Therefore, it is important to evaluate how to involve data analytics from both computational and biological perspectives in practice. This paper has investigated interaction relationships in the proteomics area, which provide insights of the critical molecular processes within infection mechanisms. Specifically, we focused on host–pathogen protein–protein …