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Root Cause Analysis For Troop Construction Schedule Delays And Cost Overruns, Richard H. Wilkens 2024 Air Force Institute of Technology

Root Cause Analysis For Troop Construction Schedule Delays And Cost Overruns, Richard H. Wilkens

Theses and Dissertations

Troop construction can be an effective tool when a project is simple enough to execute projects in a timely and cost effective manner. However, underlying variables plague these projects causing them to miss anticipated deadlines which in return could make them more costly. Significant variables that convey impact to cost and schedule are Equipment Operating Issues, Edits During Construction, Design Flaws, Lack of Communication, Poor User Coordination, Improper Documentation, Inaccurate Submittals, Low Quality Control, and Lack of Experience. Project engineers and project managers must provide effective continuity as well as improve their own competence and situational awareness to effectively mitigate …


Optimizing Hub And Spoke Selections For Adaptive Basing In Agile Combat Employment, Alan Heng 2024 Air Force Institute of Technology

Optimizing Hub And Spoke Selections For Adaptive Basing In Agile Combat Employment, Alan Heng

Theses and Dissertations

Advancing technologies and emerging competitors within the Indo-Pacific region have rendered the use of fixed installations for United States Air Force (USAF) operations less than optimal for generating airpower. The adoption of Agile Combat Employment (ACE) is imperative and emphasizes a hub-and-spoke model. However, the methodology for selection of contingency locations remains undecided. Current selection of optimal sites hinges on an optimization framework, employing either rank-based or mathematical approaches that consider various criteria to assess and quantify each location. These criteria are then addressed through objectives and constraints, forming the basis for an effective decision-making process. This paper introduces two …


Analyzing Cost Risk In Department Of Defense Program Office Estimates, Todd L. Millard 2024 Air Force Institute of Technology

Analyzing Cost Risk In Department Of Defense Program Office Estimates, Todd L. Millard

Theses and Dissertations

This research studies cost risk for Department of Defense (DoD) acquisition programs during development and has three overarching objectives: 1) analyze the degree of change in cost risk (quantified as risk dollars) as programs mature, 2) analyze the accuracy of cost risk estimates (quantified as risk error) as programs progress, and 3) adopt risk analysis techniques common in the commercial banking industry to analyze cost risk in DoD programs. For the first objective, some evidence of significant positive trends in relative risk dollars is found for ACAT 1, 2, and 3 programs. For the second objective, there is no strong …


Radiological Decontamination Methodologies On Litter-Bound Patients In Arctic Environments, And The Associated Airborne Risks Posed To First Responders, Juan S. Alb 2024 Air Force Institute of Technology

Radiological Decontamination Methodologies On Litter-Bound Patients In Arctic Environments, And The Associated Airborne Risks Posed To First Responders, Juan S. Alb

Theses and Dissertations

This study was conducted to determine if air-based decontamination (decon) methods would be effective at both treating patients exposed to dry, radiological contamination as well as reducing its re-aerosolization during the disrobing process, such that these methods could be applied on litter-bound patients in extreme cold environments. A litter-bound, full-size mannequin dressed in a set of standard military issue extreme cold weather jacket and pants coated in 27 g (1 Tbs) of Copper Oxide (density 6.315 g/cm3 ) was given one of three treatments for dry aerosol decon. The three cleaning treatments included high-efficiency particulate air (HEPA) vacuum, a …


Standardization Of Risk Classifications For Unmanned Space Vehicle Missions, Collin A. Gwaltney 2024 Air Force Institute of Technology

Standardization Of Risk Classifications For Unmanned Space Vehicle Missions, Collin A. Gwaltney

Theses and Dissertations

This paper seeks to model risk classification levels (A-D) for 122 Space Vehicle programs. Models include multinomial logistic regression as well as random forest, a machine learning technique based on decision trees. We use independent variables (IVs) which are theoretically correlated to risk class for the regression and one random forest model. We then include all IVs and allow the random forest technique to use those which provide the most information on risk class before paring down the number of IVs to only 7. We show that the accuracy of predictions increases from 62% to 87% by using random forest …


Reliability Improvement In The Traction System Of Tanzania Standard Gauge Railway, Yusufu Katuga 2024 Tanzania Railway Corporation, P O Box 76959, Sokoine Drive, Dar es Salaam

Reliability Improvement In The Traction System Of Tanzania Standard Gauge Railway, Yusufu Katuga

Tanzania Journal of Engineering and Technology (TJET)

In recent years, many African governments have been developing Standard Gauge Railway (SGR) to replace the old after becoming absolute, inefficient Meter Gauge System (MGR) to carry more loads at high mileage and speed while combating the oil and environmental crises. With the increase of SGR, the amount of traction systems has grown sharply, the service life of the traction system has increased gradually, and the components of the vehicle traction system have become worn and aged as a result. While Tanzania is transitioning to SGR with its gradually increasing traction systems, reliability improvement becomes a key for the sustainability …


Sustainability Of Simplified Sewer Systems: A Case Study Of Vingunguti Urban Settlement, Dar Es Salaam Region In Tanzania, Neema Kijazi 2024 Ardhi University, School of Engineering and Environmental Studies, P.O.Box 35176,Dar es Salaam

Sustainability Of Simplified Sewer Systems: A Case Study Of Vingunguti Urban Settlement, Dar Es Salaam Region In Tanzania, Neema Kijazi

Tanzania Journal of Engineering and Technology (TJET)

The universal access to safely managed sanitation remains one of the challenges to achieving the UN SDG target 6.2 in unplanned urban settlements including the Vingunguti area in Dar es Salaam City which is high-density populated. In an attempt to address this challenge, a simplified sewer system was piloted as an option for achieving safely managed sanitation in this particular area. The objective of this study was to assess the sustainability of the piloted simplified sewer system for its potentiality to up-scale and replication in areas with similar sanitation challenges in the country. Methodology involved collection of data on performance …


Evaluation Of Environmental Management System For Small And Medium Enterprises In Dar Es Salaam, Tanzania, Juma M. Matindana 2024 Department of Mechanical and Industrial Engineering, University of Dar es Salaam

Evaluation Of Environmental Management System For Small And Medium Enterprises In Dar Es Salaam, Tanzania, Juma M. Matindana

Tanzania Journal of Engineering and Technology (TJET)

A system that manages environmental issues of Small and Medium Enterprises (SMEs) from the time of acquisition of raw materials up to disposal of the product is not well clear, especially in Tanzania. Most of the studies have been conducted in the field of environment management but few of them address the evaluation of the management of SMEs activities with respect to the environment. Although the nature of activities of SMEs has little noticeable environmental implications at the individual level but the impact is large due to diversification and labour intensity of these SMEs. SMEs employ about 20% of the …


An Overview Of Maternity Healthcare Monitoring In Developing Nations, Godphrey Kyambille 2024 Mbeya University of Science and Technology

An Overview Of Maternity Healthcare Monitoring In Developing Nations, Godphrey Kyambille

Tanzania Journal of Engineering and Technology (TJET)

A healthcare monitoring arrangement is essential for frequently monitoring a patient's health status. Specifically, maternal healthcare systems for tracking are utilized to evaluate the clinical status and monitor any abnormal condition changes during all three trimesters. This paper's objective is to conduct an extensive literature review and acknowledge earlier initiatives and studies conducted previously in maternal health care monitoring. This review focuses on accumulating information from earlier work and presents a general overview of previous studies concerning maternal health care monitoring (MHCM). The paper focuses on the maternal healthcare systems in developing countries accessed by pregnant women during the antenatal …


Going Airborne: Kent State's Pioneering Leap Into Integrated Advanced Air Mobility, Jason T. Lorenzon 2024 Kent State University

Going Airborne: Kent State's Pioneering Leap Into Integrated Advanced Air Mobility, Jason T. Lorenzon

National Training Aircraft Symposium (NTAS)

This proposal centers on the development of a Concept of Operations in Advanced Air Mobility (AAM). Kent State University's College of Aeronautics and Engineering is poised to pioneer the integration of drones and electric Vertical Takeoff and Landing (eVTOL) systems, bridging the gap between its campus and airport by transporting students and faculty the 3NM distance from campus to the airport and back by a UAV. Beyond a standard research initiative, this proposal signifies a groundbreaking effort to reshape the landscape of educational aeronautics and Advanced Air Mobility and Urban Air Mobility. Our overarching goal is to transcend conventional boundaries …


Containerization Of Seafarers In The International Shipping Industry: Contemporary Seamanship, Maritime Social Infrastructures, And Mobility Politics Of Global Logistics, Liang Wu 2024 CUNY Graduate Center

Containerization Of Seafarers In The International Shipping Industry: Contemporary Seamanship, Maritime Social Infrastructures, And Mobility Politics Of Global Logistics, Liang Wu

Dissertations, Theses, and Capstone Projects

This dissertation discusses the mobility politics of container shipping and argues that technological development, political-economic order, and social infrastructure co-produce one another. Containerization, the use of standardized containers to carry cargo across modes of transportation that is said to have revolutionized and globalized international trade since the late 1950s, has served to expand and extend the power of international coalitions of states and corporations to control the movements of commodities (shipments) and labor (seafarers). The advent and development of containerization was driven by a sociotechnical imaginary and international social contract of seamless shipping and cargo flows. In practice, this liberal, …


Alice In Cyberspace 2024, Stanley Mierzwa 2024 Kean University

Alice In Cyberspace 2024, Stanley Mierzwa

Center for Cybersecurity

‘Alice in Cyberspace’ Conference Nurtures Women’s Interest, Representation in Cybersecurity


Planning Innovation For Implementing Modular Prefabricated Construction In Housing Development In Indonesia Using A Risk-Based Iso 56002:2019 Approach To Improve Project Performance, Deansa Agya Rahman, Yusuf Latief 2024 Universitas Indonesia

Planning Innovation For Implementing Modular Prefabricated Construction In Housing Development In Indonesia Using A Risk-Based Iso 56002:2019 Approach To Improve Project Performance, Deansa Agya Rahman, Yusuf Latief

Smart City

The development of housing in Indonesia, growing rapidly due to urbanization and population growth, faces challenges in terms of land, labor, and housing backlog. Despite being innovative, modular prefabrication methods are limited by unattractive designs and high costs, slowing down construction, harming the productivity of construction companies, and hindering the growth of the national construction sector. These challenges are prevalent in various countries and are influenced by low knowledge, conservative mindsets, and inhibiting regulations. In Indonesia, additional issues include a lack of mastery of modular prefabrication methods and awareness of long-term benefits. This research identified innovative risk-based applications of modular …


2023-2024 Annual Security And Fire Report – Sayre Campus, Southwestern Oklahoma State University 2024 Southwestern Oklahoma State University

2023-2024 Annual Security And Fire Report – Sayre Campus, Southwestern Oklahoma State University

ANNUAL SECURITY & FIRE REPORTS

This is the 2023-2024 Annual Security and Fire Report of the Sayre Campus by Southwestern Oklahoma State University.


2023-2024 Annual Security And Fire Report – Weatherford Campus, Southwestern Oklahoma State University 2024 Southwestern Oklahoma State University

2023-2024 Annual Security And Fire Report – Weatherford Campus, Southwestern Oklahoma State University

ANNUAL SECURITY & FIRE REPORTS

This is the 2023-2024 Annual Security and Fire Report of the Weatherford Campus by Southwestern Oklahoma State University.


Ecological Toxicology Impact From Soap Manufacture: Applications Of Carbon Footprint For Organization And Carbon Footprint Of Product, Tanaporn Chanaphirak 2024 Faculty of Science

Ecological Toxicology Impact From Soap Manufacture: Applications Of Carbon Footprint For Organization And Carbon Footprint Of Product, Tanaporn Chanaphirak

Chulalongkorn University Theses and Dissertations (Chula ETD)

The assessment of greenhouse gases to identify ways to reduce global warming was of enormous importance worldwide. This study assessed the carbon footprint of an organization and the carbon footprint of products within the herbal soap manufacturing industry, following the guidelines of the Thailand Greenhouse Gas Management Organization (TGO). It also evaluated the environmental toxicity of soap production. The study found that the organization’s carbon footprint amounted to 551 tCO2 equivalent, with Scope 3 emissions being the highest at 359 tCO2 equivalent, followed by Category 1 products and services, which accounted for 208 tCO2 equivalent. Scope 1 emissions were 176 …


Developing Machine Learning And Time-Series Analysis Methods With Applications In Diverse Fields, Muhammed Aljifri 2024 Virginia Commonwealth University

Developing Machine Learning And Time-Series Analysis Methods With Applications In Diverse Fields, Muhammed Aljifri

Theses and Dissertations

This dissertation introduces methodologies that combine machine learning models with time-series analysis to tackle data analysis challenges in varied fields. The first study enhances the traditional cumulative sum control charts with machine learning models to leverage their predictive power for better detection of process shifts, applying this advanced control chart to monitor hospital readmission rates. The second project develops multi-layer models for predicting chemical concentrations from ultraviolet-visible spectroscopy data, specifically addressing the challenge of analyzing chemicals with a wide range of concentrations. The third study presents a new method for detecting multiple changepoints in autocorrelated ordinal time series, using the …


A Case Study Assessing The Integration Of Nuclear Safety And Security In Facilities Using A Monte Carlo Simulation Aided Analytical Hierarchy Process, Theodore A. Thomas, Shraddha Rane, Jason Timothy Harris 2024 Purdue University - Main Campus

A Case Study Assessing The Integration Of Nuclear Safety And Security In Facilities Using A Monte Carlo Simulation Aided Analytical Hierarchy Process, Theodore A. Thomas, Shraddha Rane, Jason Timothy Harris

International Journal of Nuclear Security

Nuclear safety and security are essential in all operations using nuclear and radioactive materials. Even though both elements are important, the evolution of these programs has not developed at the same rate. As such, their integration has been met with challenges. This study analyzed the potential for synergy across different criteria and settings when integrating nuclear safety and security. The criteria included eight points where overlap could be identified between nuclear safety and security. Three work settings—industrial, medical, and research—were evaluated. Responses were collected from nine individuals who worked with nuclear materials in various capacities and different nuclear work settings. …


Promoting Safe Use Of Amrs By Assessing Their Residual Risks And Safety-Related Functions, Tongzhou Zhang, Sabrina Jocelyn, Chun Hong Law, Ali Aidibe, Soumaya Yacout 2024 Polytechnique Montréal

Promoting Safe Use Of Amrs By Assessing Their Residual Risks And Safety-Related Functions, Tongzhou Zhang, Sabrina Jocelyn, Chun Hong Law, Ali Aidibe, Soumaya Yacout

Articles dans des actes de congrès

With Autonomous Mobile Robots (AMRs), the usual risks are those of collision between a worker and the AMR, or a body part trapped between the AMR and a fixed or moving obstacle. To bypass obstacles (human or otherwise), AMRs feature autonomous control systems activating safety-related functions based on machine learning or optimization algorithms. This paper proposes a roadmap to guide integrators and users on the safe implementation of two AMRs. To do so, a risk assessment of two identical AMRs was performed, using ISO 12100, in a test bed consisting of an Intelligent Cyber-Physical Systems laboratory warehouse at Polytechnique Montreal. …


The Hazard Prediction Problem, Mary E. Helander, Brendan Smith, Sylvia Charchut, Erika Swiatowy, Calvin Nau, Gregory Cavaretta, Timothy Schuler, Adam Schunk, Héctor Ortiz-Peña 2024 SUNY Upstate Medical University

The Hazard Prediction Problem, Mary E. Helander, Brendan Smith, Sylvia Charchut, Erika Swiatowy, Calvin Nau, Gregory Cavaretta, Timothy Schuler, Adam Schunk, Héctor Ortiz-Peña

Social Science - All Scholarship

This work formulates the hazard prediction problem while addressing the research question: Can machine learning create a model to automatically recognize patterns that correspond to hazard state conditions during a mission-critical operation? Supervised learning models were trained and tested on data observed from mission simulators, which allowed for safe observation of dynamic system states and undesirable casualty events. The prediction task was formulated as a binary classification problem, producing the probability of being in a hazard state at time t and providing situational awareness of a possible imminent loss. Several modeling architectures were investigated: neural networks, logistic regression, a support …


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