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Evaluating Machine Learning Performance In Predicting Injury Severity In Agribusiness Industries, Fatemeh Davoudi Kakhki, Steven A. Freeman, Gretchen A. Mosher 2019 San Jose State University

Evaluating Machine Learning Performance In Predicting Injury Severity In Agribusiness Industries, Fatemeh Davoudi Kakhki, Steven A. Freeman, Gretchen A. Mosher

Agricultural and Biosystems Engineering Publications

Although machine learning methods have been used as an outcome prediction tool in many fields, their utilization in predicting incident outcome in occupational safety is relatively new. This study tests the performance of machine learning techniques in modeling and predicting occupational incidents severity with respect to accessible information of injured workers in agribusiness industries using workers’ compensation claims. More than 33,000 incidents within agribusiness industries in the Midwest of the United States for 2008–2016 were analyzed. The total cost of incidents was extracted and classified from workers’ compensation claims. Supervised machine learning algorithms for classification (support vector machines ...


Analysis Of Computer Audit Data To Create Indicators Of Compromise For Intrusion Detection, Steven Millett, Michael Toolin, Justin Bates 2019 Southern Methodist University

Analysis Of Computer Audit Data To Create Indicators Of Compromise For Intrusion Detection, Steven Millett, Michael Toolin, Justin Bates

SMU Data Science Review

Network security systems are designed to identify and, if possible, prevent unauthorized access to computer and network resources. Today most network security systems consist of hardware and software components that work in conjunction with one another to present a layered line of defense against unauthorized intrusions. Software provides user interactive layers such as password authentication, and system level layers for monitoring network activity. This paper examines an application monitoring network traffic that attempts to identify Indicators of Compromise (IOC) by extracting patterns in the network traffic which likely corresponds to unauthorized access. Typical network log data and construct indicators are ...


Evaluating Machine Learning Performance In Predicting Injury Severity In Agribusiness Industries, Fatemeh Davoudi Kakhki, Steven A. Freeman, Gretchen A. Mosher 2019 San Jose State University

Evaluating Machine Learning Performance In Predicting Injury Severity In Agribusiness Industries, Fatemeh Davoudi Kakhki, Steven A. Freeman, Gretchen A. Mosher

Gretchen A. Mosher

Although machine learning methods have been used as an outcome prediction tool in many fields, their utilization in predicting incident outcome in occupational safety is relatively new. This study tests the performance of machine learning techniques in modeling and predicting occupational incidents severity with respect to accessible information of injured workers in agribusiness industries using workers’ compensation claims. More than 33,000 incidents within agribusiness industries in the Midwest of the United States for 2008–2016 were analyzed. The total cost of incidents was extracted and classified from workers’ compensation claims. Supervised machine learning algorithms for classification (support vector machines ...


Underground Storage Tank Impact Model, Amy Telck 2019 Carroll College

Underground Storage Tank Impact Model, Amy Telck

Carroll College Student Undergraduate Research Festival

Leaking underground storage tanks (UST) pose a threat to the surround- ing environment and population. The Montana Department of Environmental Quality has completed two phases of a risk analysis with the purpose of identifying the USTs at the greatest risk of leaking in order to reallocate department resources. This analysis builds upon prior analyses in three ways: (1) identify how UST upgrades can reduce the risk of UST leaking, (2) how UST characteristics and upgrades relate to the cost of remediation, and (3) estimating the environmental impact of a release.


Seismic Performance Of Earth Slopes Subjected To Earthquake Mainshock – Aftershock Sequences, alisha khanal 2019 University of Texas at Tyler

Seismic Performance Of Earth Slopes Subjected To Earthquake Mainshock – Aftershock Sequences, Alisha Khanal

Civil Engineering Theses

Mainshocks are usually followed by aftershocks. Aftershocks continue over a period of time with a decreasing frequency and there is not sufficient time for repair and retrofit between a mainshock – aftershock sequence. Typically, aftershocks are smaller in magnitude; however, aftershock ground motion characteristics such as the intensity and duration can be greater than the mainshock due to the changes in the earthquake mechanism and location with respect to the site. The seismic performance of slopes is typically evaluated based on the sliding displacement predicted to occur along a critical sliding surface. Various empirical models are available that predict sliding displacement ...


Left Turn Safety: Preventing Injury And Death Through Signs And Signaling, Elizabeth Webb 2019 Germanna Community College

Left Turn Safety: Preventing Injury And Death Through Signs And Signaling, Elizabeth Webb

Student Writing

Thousands of accidents each year are precipitated by drivers making a left turn within an intersection. These accidents tend to be caused primarily by driver error, confusing signaling or high rates of speed by through traffic. Extensive research suggests that reducing the rate of speed of through traffic, implementing warning signs with flashers along a roadway, adjusting the traffic signal phasing at an intersection, and utilizing creative intersection designs are all options which are available to combat these concerns and substantially minimize risks to all drivers. A recent fatal accident in Spotsylvania County highlights the need for intersection improvement at ...


Hazard And Operability Analysis Of An Ethylene Oxide Production Plant, Samantha Ciricillo 2019 University of South Carolina

Hazard And Operability Analysis Of An Ethylene Oxide Production Plant, Samantha Ciricillo

Senior Theses

The purpose of this work was to evaluate potential hazards and failures as part of the design and economic analysis for a chemical plant that would produce 150,000 tons of ethylene oxide per year. The Hazard and Operability (HAZOP) method of analysis was used to accomplish this goal. This method of hazard analysis involves brainstorming potential errors in a system by examining each element of each process unit in full detail. This project was focused on the reactor unit because the reactor has several important parameters that could fail, resulting in safety issues within the system. Input for this ...


Latex Modified Concrete - Very Early Strength, Bobby Steele 2019 Purdue University

Latex Modified Concrete - Very Early Strength, Bobby Steele

Purdue Road School

INDOT came out with specifications for a very early strength concrete to use on bridge deck overlays. This concrete is fast setting, which allows overlays to be performed over a weekend and benefits the traveling public with a short duration of traffic interference. Cure time to reach the strength requirement is 3 hours. E&B Paving performed the first application with the new spec on August 26, 2018. Many changes were also made to the INDOT Specification Section 722.


Fico® Scores Through The Economic Cycle And Understanding Consumer Sensitivities To Economic Fluctuations, Gerald Fahner 2019 South Dakota State University

Fico® Scores Through The Economic Cycle And Understanding Consumer Sensitivities To Economic Fluctuations, Gerald Fahner

SDSU Data Science Symposium

FICO® Scores assess default likelihood under “normal” conditions. Additional risk emanates from economic variability and manifests itself in changes to the score distribution as well as changes to the Odds-to-Score relationship. In this session we will examine credit bureau data from the Great Recession in the United States as compared to a stable economic period. We’ll share a framework that provides new and actionable insights into consumers’ sensitivities to such economic fluctuations such as:

  • Application of counterfactual analysis, machine learning, and scorecards, to rank-order consumers’ sensitivities

  • Consumer segmentation by economic sensitivities

  • Sensitivity profiling reveals interesting differences between the most ...


Project Insight: A Granular Approach To Enterprise Cybersecurity, Sunna Quazi, Adam Baca, Sam Darsche 2019 Southern Methodist University

Project Insight: A Granular Approach To Enterprise Cybersecurity, Sunna Quazi, Adam Baca, Sam Darsche

SMU Data Science Review

In this paper, we disambiguate risky activity corporate users are propagating with their software in real time by creating an enterprise security visualization solution for system administrators. The current problem in this domain is the lag in cyber intelligence that inhibits preventative security measure execution. This is partially due to the overemphasis of network activity, which is a nonfinite dataset and is difficult to comprehensively ingest with analytics. We address these concerns by elaborating on the beta of a software called "Insight" created by Felix Security. The overall solution leverages endpoint data along with preexisting whitelist/blacklist designations to unambiguously ...


Cataloging The Degree Of Sensitization Via Electrochemical Reactivation For Studying The Corrosion Behavior Of Inconel 718, Austenitic, And Duplex Stainless Steels, Bradley Lynes 2019 The University of Akron

Cataloging The Degree Of Sensitization Via Electrochemical Reactivation For Studying The Corrosion Behavior Of Inconel 718, Austenitic, And Duplex Stainless Steels, Bradley Lynes

Williams Honors College, Honors Research Projects

Corrosion resistant materials can be expensive, but usually reduce the life cycle cost of metallic assets. However, negligent sensitization of these materials can lead to aggressive, intergranular corrosion. Using the methodology of the double loop electrochemical potentiokinetic reactivation (DL-EPR), this project investigates different steel reinforced bars and Inconel to determine the degree of sensitization after a heat treatment of 900°C for 2 hours. The purpose of this research is to validate and determine the appropriate test parameters for performing further DL-EPR test in the future. Additionally, the kinetics observed for each sample during the DL-EPR test will be analyzed ...


Assessing Risk In Iot Devices, David Levitsky 2018 California Polytechnic State University, San Luis Obispo

Assessing Risk In Iot Devices, David Levitsky

Master's Theses and Project Reports

The explosive growth of the Internet of Things ecosystem has thrust these devices into the center of our lives. Unfortunately, the desire to create these devices has been stronger than the one to secure them. Recent attacks have shown us ignoring security in Internet of Things devices can cause severe harm in both a digital and physical sense. This thesis outlines a framework for developers and managers to assess the risk of IoT devices using a weighted scoring system across five different categories. Our case studies suggest that devices with higher security considerations have a better security posture and lower ...


An Overview Of Smartwater Management System: Strategic Potential In Bangladesh, Muhammad Qumrul Hassan, Mir F. Karim, Nazrul I. Khandaker, Jowaher Raza 2018 University of Dhaka

An Overview Of Smartwater Management System: Strategic Potential In Bangladesh, Muhammad Qumrul Hassan, Mir F. Karim, Nazrul I. Khandaker, Jowaher Raza

Publications and Research

Water loss management is becoming an increasingly important as supplies are stressed by population growth or water scarcity. A SmartWater system ensures optimum consumption and prediction of future water use. Bangladesh is one of the most vulnerable countries due to global climate change considering its rapid urbanization, inequitable land use, low income and greater reliance on climate sensitive sectors, particularly agriculture. Agricultural lands used for cropping and livestock rearing are more susceptible to degradation than non-agricultural lands. Most farmers irrigate through flooding, losing up to 75% of water to evaporation and creating a substantial drawdown of much needed water for ...


The Status Of Engineering Geology: Constraints On Infrastructure Development In Bangladesh, Mir Fazlul Karim, Muhammad Qumrul Hassan, Nazrul I. Khandaker, Masud Ahmed, Belal Ahmed Sayeed 2018 Geotesting Express Inc.

The Status Of Engineering Geology: Constraints On Infrastructure Development In Bangladesh, Mir Fazlul Karim, Muhammad Qumrul Hassan, Nazrul I. Khandaker, Masud Ahmed, Belal Ahmed Sayeed

Publications and Research

In recent years, megacity Dhaka is known to have one of the fastest urban population growths in Bangladesh. The population in Dhaka and other megacities has increased from 7 to 50 million during the last four decades. The rapid rate of urban population growth, along with the extreme paucity of real-estate for new infrastructure development or upgrading existing facilities, is already exacerbating the situation for the city planners and exerting tremendous pressure to come-up with viable solutions. Although practice of engineering geology, geotechnical exploration, and testing exists in Bangladesh; the system has still yet to adopt controlled quality standards with ...


The Challenges Of Geotechnical Exploration In Bangladesh For Sustainable Urban Development And Risk Reductions In Engineering Geology, Mir Fazul Karim, Nazrul I. Khandaker, Muhammad Qumrul Hasson, A.T.M. Shakhawat Hossain 2018 Geotesting Express Inc.

The Challenges Of Geotechnical Exploration In Bangladesh For Sustainable Urban Development And Risk Reductions In Engineering Geology, Mir Fazul Karim, Nazrul I. Khandaker, Muhammad Qumrul Hasson, A.T.M. Shakhawat Hossain

Publications and Research

Bangladesh is a unique example of rapid urbanization where the urban population increased from 5 to 58 million in last four decades. Due to complex geology and active tectonic setting, the urban ground is impacted by fluvio-deltaic processes and regional seismicity. The densely populated cities of the country are facing risks from many natural hazards like floods, tidal surge, riverbank and coastal erosion, scour, landslides, soil collapse and foundation failures. Geologists anticipate severe seismic threats from yet-undefined tectonic structures and seek to determine their consequential geo-structural responses and conformance to the national building code. With rapid growth, demands on infrastructure ...


Community Resilience Management : Reflections And Strategies From Corporate Sustainability, Jennifer Schneider, John Hummel, Joseph M. Rosenbeck 4756469, Sarah Dobie 2018 Rochester Institute of Technology

Community Resilience Management : Reflections And Strategies From Corporate Sustainability, Jennifer Schneider, John Hummel, Joseph M. Rosenbeck 4756469, Sarah Dobie

Journal of Environmental Sustainability

Creating community resilience is a daunting task, both in scope and application, therefore it is useful to examine related efforts to inform our strategy. Sustainability, specifically corporate sustainability, has developed through similar challenges and provides insight into the possible trajectory of community resilience management. We find that both concepts reflect similar origins, developmental paths and merging goals at a scale that can be systematically managed. Therefore, we describe four strategies from corporate sustainability management that can be applied to community resilience 1) consider the community context while implementing an increasingly broad view of responsibility; 2) integrate and engage across constructs ...


Innovative Solutions Through Innovated Problems, Shanna R. Daly, Seda McKilligan, Jaryn A. Studer, Jaclyn K. Murray, Colleen M. Seifert 2018 University of Michigan-Ann Arbor

Innovative Solutions Through Innovated Problems, Shanna R. Daly, Seda Mckilligan, Jaryn A. Studer, Jaclyn K. Murray, Colleen M. Seifert

Seda McKilligan

Designers are accustomed to solving problems that are provided to them; in fact, common practice in engineering is to present the problem with carefully delineated and detailed constraints required for a promising solution. As a consequence, engineers focus on creating feasible solutions rather than exploring novel perspectives on the presented problems. However, the Engineer of 2020 needs to respond with innovations for multiple and dynamic user needs, diverse users and cultures, and rapidly changing technologies. These complex demands require engineering students to learn that problems are not ‘‘fixed’’ as presented, and to build the habit of exploring alternative perspectives on ...


Enhancing Trust In The Cryptocurrency Marketplace: A Reputation Scoring Approach, Dan Freeman, Tim McWilliams, Sudip Bhattacharyya, Craig Hall, Pablo Peillard 2018 Southern Methodist University

Enhancing Trust In The Cryptocurrency Marketplace: A Reputation Scoring Approach, Dan Freeman, Tim Mcwilliams, Sudip Bhattacharyya, Craig Hall, Pablo Peillard

SMU Data Science Review

Trust is paramount for the effective operation of any monetary system. While the distributed architecture of blockchain technology on which cryptocurrencies operate has many benefits, the anonymity of users on the blockchain has provided criminal users an opportunity to hide both their identities and illicit activities. In this paper, we present a scoring mechanism for cryptocurrency users where the scores represent users’ trustworthiness as safe or risky transactors in the cryptocurrency community. In order to distinguish law-abiding users from potential threats in the Bitcoin marketplace, we analyze historical thefts to profile transactions, classify them into risky and non-risky categories using ...


Extra-Terrestrial Habitat Systems: Safety, Reliability, And Resilience, Jory C. Lyons Jr., Amin Maghareh, Audai Theinat, Shirley Dyke, Antonio Bobet 2018 Purdue University

Extra-Terrestrial Habitat Systems: Safety, Reliability, And Resilience, Jory C. Lyons Jr., Amin Maghareh, Audai Theinat, Shirley Dyke, Antonio Bobet

The Summer Undergraduate Research Fellowship (SURF) Symposium

Developing a resilient extra-terrestrial habitat with regards to long-term reliability and safety from hazards including radiation, meteorites, and quakes is necessary to ensure human survival during interplanetary exploration. The objective of this study is to examine conventional aerospace safety and reliability analysis techniques to investigate whether they are sufficient to achieve resilience in extra-terrestrial habitats. These results will be obtained to complete a strengths, weaknesses, opportunities, and threats (SWOT) analysis of compiled techniques to design a sustainable habitat system. Failure modes, effects, and criticality analysis (FMECA) and probabilistic risk assessment (PRA) with their past applications will be assessed to provide ...


Robust Allocation Of Funds For Nonstructural Flood Risk Mitigation In Coastal Louisiana, Simón Gómez Sierra, David R. Johnson, Matthew P. Shisler, Zachariah T. Richardson 2018 Universidad de Los Andes - Colombia

Robust Allocation Of Funds For Nonstructural Flood Risk Mitigation In Coastal Louisiana, Simón Gómez Sierra, David R. Johnson, Matthew P. Shisler, Zachariah T. Richardson

The Summer Undergraduate Research Fellowship (SURF) Symposium

Coastal Louisiana is a critical economic, ecological and cultural asset, acting as a major hub for waterborne commerce, fisheries, and the petrochemical industry, and also as one of the world’s unique wetlands. Unfortunately, this rich environment is in great danger from the threat of hurricanes and storm surge flooding. Direct economic losses are estimated to average $2.7 billion per year under current conditions, and this could increase to $12 billion a year, or more, within 50 years if nothing is done. To prevent this catastrophe, Louisiana has developed a Comprehensive Master Plan for a Sustainable Coast, which plans ...


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