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2020

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Articles 1 - 15 of 15

Full-Text Articles in Engineering

Twitter Analysis Based On Damage Detection And Geoparsing For Event Mapping Management, Yasmeen Ali, Khaled Bahnasy, Adel El-Mahdy Dec 2020

Twitter Analysis Based On Damage Detection And Geoparsing For Event Mapping Management, Yasmeen Ali, Khaled Bahnasy, Adel El-Mahdy

Future Computing and Informatics Journal

Background: Early event detection, monitor, and response can significantly decrease the impact of disasters. Lately, the usage of social media for detecting events has displayed hopeful results. Objectives: for event detection and mapping; the tweets will locate and monitor them on a map. This new approach uses grouped geoparsing then scoring for each tweet based on three spatial indicators. Method/Approach: Our approach uses a geoparsing technique to match a location in tweets to geographic locations of multiple-events tweets in Egypt country, administrative subdivision. Thus, additional geographic information acquired from the tweet itself to detect the actual locations that …


Combining Bert With Contextual Linguistic Features For Identification Of Propaganda Spans In News Articles, Arjumand Younus, Muhammad Atif Qureshi Dec 2020

Combining Bert With Contextual Linguistic Features For Identification Of Propaganda Spans In News Articles, Arjumand Younus, Muhammad Atif Qureshi

Conference papers

Recent endeavours at detection of propaganda in news articles treat this as a fine-grained problem of detecting it within fragments; and hence, transformer based embeddings perform decently in such detection. We build our propaganda detection framework on top of a transformer model simultaneously enriching it with contextual linguistic information of surrounding part-of-speech tags and LIWC categories the word itself belongs to. The evaluation outcomes being encouraging indicate a huge potential for this line of reasoning in natural language processing of news text.


Docs_On_Blocks – A Defense In Depth Strategy For E-Healthcare, Saad Mohammed Dec 2020

Docs_On_Blocks – A Defense In Depth Strategy For E-Healthcare, Saad Mohammed

Electronic Theses, Projects, and Dissertations

With the increase in the data breaches and cyber hacks, organizations have come to realize that cyber security alone would not help as the attacks are becoming more sophisticated and complex than ever. E-Healthcare industry has shown a promising improvement in terms of security over the past, but the threat remains. Thus, the E-Healthcare industries are aiming towards a Defense in Depth Strategy approach.

The project here describes how a Defense in Depth Strategy for E-Healthcare system can provide an environment for better security of the data and peer-to-peer interaction with stakeholders. The legacy systems have at some point failed …


Automated Interactive 3d Geospatial Data Assimilation, Formatting And Visualization System For Development Of Subsurface Conceptual Site Models, Aaron Cattley, Gavin Hudgeons, Bruce Lee Sep 2020

Automated Interactive 3d Geospatial Data Assimilation, Formatting And Visualization System For Development Of Subsurface Conceptual Site Models, Aaron Cattley, Gavin Hudgeons, Bruce Lee

SMU Data Science Review

The natural evolution of the collection and storage of sub- surface data in Texas has resulted in the current state where data for certain resources, such as water resources, have not been assimilated with state oil and gas and injection data in a meaningful way that allows for rapid understanding and data analysis for a physical land site. The consequences that result due to data from different spheres not being in sync are often duplication of work being performed but not in a consistent manner. However, the reality is that the infrastructure and impacts of these sectors are deeply intertwined. …


The Law Of Black Mirror - Syllabus, Yafit Lev-Aretz, Nizan Packin Aug 2020

The Law Of Black Mirror - Syllabus, Yafit Lev-Aretz, Nizan Packin

Open Educational Resources

Using episodes from the show Black Mirror as a study tool - a show that features tales that explore techno-paranoia - the course analyzes legal and policy considerations of futuristic or hypothetical case studies. The case studies tap into the collective unease about the modern world and bring up a variety of fascinating key philosophical, legal, and economic-based questions.


Tech Policy And Legal Theory Syllabus, Yafit Lev-Aretz, Nizan Packin Aug 2020

Tech Policy And Legal Theory Syllabus, Yafit Lev-Aretz, Nizan Packin

Open Educational Resources

Technology has changed dramatically over the last couple of decades. Currently, virtually all business industries are powered by large quantities of data. The potential as well as actual uses of business data, which oftentimes includes personal user data, raise complex issues of informed consent and data protection. This course will explore many of these complex issues, with the goal of guiding students into thinking about tech policy from a broad ethical perspective as well as preparing students to responsibly conduct themselves in different areas and industries in a world growingly dominated by technology.


Household’S Willingness (Wtp) To Pay To The Utility, Rakhshinda Bano, Mehdi Khiadani, Steven Burian Jul 2020

Household’S Willingness (Wtp) To Pay To The Utility, Rakhshinda Bano, Mehdi Khiadani, Steven Burian

Research Datasets

The dataset contains the water use at household level, payments to the utility and household income.


Edge-Cloud Iot Data Analytics: Intelligence At The Edge With Deep Learning, Ananda Mohon M. Ghosh May 2020

Edge-Cloud Iot Data Analytics: Intelligence At The Edge With Deep Learning, Ananda Mohon M. Ghosh

Electronic Thesis and Dissertation Repository

Rapid growth in numbers of connected devices, including sensors, mobile, wearable, and other Internet of Things (IoT) devices, is creating an explosion of data that are moving across the network. To carry out machine learning (ML), IoT data are typically transferred to the cloud or another centralized system for storage and processing; however, this causes latencies and increases network traffic. Edge computing has the potential to remedy those issues by moving computation closer to the network edge and data sources. On the other hand, edge computing is limited in terms of computational power and thus is not well suited for …


Regional Airlines, Benjamin Jones Jr. May 2020

Regional Airlines, Benjamin Jones Jr.

Student Works

The airline industry plays a major role in the United States. Many passengers use air transportation as a major mode of traveling for business and personal. As the demand for traveling increased, pilot shortage has increased as well. A pilot shortage will devastate the economy and have a lasting effect that will be felt worldwide. However, sources predict that the United States will experience a sizable pilot shortage over the next few years. This paper will identify the reasons for the pilot shortage and discuss the devastating effects that the shortage has on the regional airline industry. In addition, this …


Applying Lean Manufacturing Principles At Vip Cinema: Standardizing Hardware Assembly Workstations, Cameron Koch May 2020

Applying Lean Manufacturing Principles At Vip Cinema: Standardizing Hardware Assembly Workstations, Cameron Koch

Honors Theses

This paper will explore the benefits of standardization and consistency in a manufacturing setting by demonstrating the value of improved tooling and organization. “Lean Manufacturing” is the broad term used to describe key principles that can be applied to most businesses to reduce waste and increase efficiency. This ideology’s theme is to maximize customer value while minimizing waste. The purpose of its adoption is to transform managers and operators into experts of identifying the deficiencies in many manufacturing and assembly processes and implementing changes that can lead to enormous improvements in takt time, production output, and ultimately, profitability. At VIP …


Qlime-A Quadratic Local Interpretable Model-Agnostic Explanation Approach, Steven Bramhall, Hayley Horn, Michael Tieu, Nibhrat Lohia Apr 2020

Qlime-A Quadratic Local Interpretable Model-Agnostic Explanation Approach, Steven Bramhall, Hayley Horn, Michael Tieu, Nibhrat Lohia

SMU Data Science Review

In this paper, we introduce a proof of concept that addresses the assumption and limitation of linear local boundaries by Local Interpretable Model-Agnostic Explanations (LIME), a popular technique used to add interpretability and explainability to black box models. LIME is a versatile explainer capable of handling different types of data and models. At the local level, LIME creates a linear relationship for a given prediction through generated sample points to present feature importance. We redefine the linear relationships presented by LIME as quadratic relationships and expand its flexibility in non-linear cases and improve the accuracy of feature interpretations. We coin …


Under Pressure: Decision Making In Aircraft Maintenance And The Role Of Gender, Stephanie Douglas Ph.D., Bettina M. Mrusek Ph.D. Mar 2020

Under Pressure: Decision Making In Aircraft Maintenance And The Role Of Gender, Stephanie Douglas Ph.D., Bettina M. Mrusek Ph.D.

National Training Aircraft Symposium (NTAS)

In aircraft maintenance, leaders are under near-constant pressure to maintain airworthiness. Every minute an aircraft cannot fly due to maintenance represents financial waste. Decisions are therefore made in a relatively quick fashion. A leader evaluates the situation, identifies a course of action and then communicates this message to a team of technicians. However, gender influences regarding leaders’ decisions can influence team members’ perceptions of those decisions.

The study will measure decision making methods of leaders in aircraft maintenance and the perceptions of the technicians. It informs how gender influences decision making from both the leader and follower perspective. The expected …


An Investigation Into Subject Matter Expert Elicitation In Cost Risk Analysis, Christopher W. Miller Mar 2020

An Investigation Into Subject Matter Expert Elicitation In Cost Risk Analysis, Christopher W. Miller

Theses and Dissertations

This research compares the efficacy of subject matter expert (SME) elicitation methods to other cost estimation methods using a development and production dataset provided by AFLCMC/FZC. First, by using descriptive statistics to evaluate low versus high amount of the respective cost estimation methods by analyzing the means of percent cost growth for both groups. Next, this research involved using a statistics-based approach to investigate whether SME based cost estimating methods have an associated relationship to percent change of Program Acquisition Unit Costs (PAUC), which will be our proxy variable to cost growth. Using a pooled cross-sectional OLS regression analysis model …


Análisis De La Percepción De La Calidad De Tres Empresas Colombianas De Telefonía Móvil En Twitter, Mediante Técnicas De Minería De Texto Y Analítica De Negocios, Eduar Felipe Riaño Torres, José Darío Navas Torres Jan 2020

Análisis De La Percepción De La Calidad De Tres Empresas Colombianas De Telefonía Móvil En Twitter, Mediante Técnicas De Minería De Texto Y Analítica De Negocios, Eduar Felipe Riaño Torres, José Darío Navas Torres

Ingeniería Industrial

Este documento presenta una solución a un caso teórico-práctico en la red social Twitter empleando técnicas de minería de texto y analítica de negocios en el software gratuito y de código abierto para ciencia de datos, investigación científica y comunicación técnica R. Para esto, se desarrolló un ejercicio aplicado a las empresas de Telecomunicaciones Claro, Movistar y Tigo, debido a la cantidad de datos y al dinamismo económico que estas compañías presentan actualmente en Colombia. Para llevar a cabo esta investigación se requirió realizar una revisión exhaustiva de diversas temáticas como minería de texto, análisis de sentimientos, vigilancia empresarial, analítica …


Efficiency Analysis Of A Congested Brazilian Airport Applying Slots Optimization Control: Congonhas Airport Case, Mariana Franco B. Mendes, Rafael Roco De Araujo, Ana Paula Beck Da Silva Etges, Massoud Bazargan Jan 2020

Efficiency Analysis Of A Congested Brazilian Airport Applying Slots Optimization Control: Congonhas Airport Case, Mariana Franco B. Mendes, Rafael Roco De Araujo, Ana Paula Beck Da Silva Etges, Massoud Bazargan

International Journal of Aviation, Aeronautics, and Aerospace

The current slot allocation mechanism in Brazil, based on the International Air Transport Association (IATA) rules, and its supplementary local regulation The National Civil Aviation Agency (ANAC), displays a few issues and limitations (e.g. slot misuse, allocation inefficiencies). Such issues are particularly present in the case of busy airports that works near their maximum capacity for major parts of the day. This inefficiency problem is generated because of the complexity of slot allocation added to the limited decision support available for the Brazilian system. This study focuses on the implementation of an optimal slot model, based on IATA regulations with …