Evaluation Of Fitts’ Throughput As A Possible Performance Measure For Manual Assembly Tasks,
2020
West Virginia University
Evaluation Of Fitts’ Throughput As A Possible Performance Measure For Manual Assembly Tasks, Pradyumna Bettagere Jagadish
Graduate Theses, Dissertations, and Problem Reports (ETD)
Assembly lines are the backbone of the manufacturing sector. Workers at the assembly lines are expected to perform fast pace hand-arm exertions with precision and accuracy. To protect the workers from injuries, OSHA mandates the use of personal protective equipment (PPE) including gloves. Certain assembly operations require the use of special gloves. Some of these gloves can inhibit hand performance, further increasing the task difficulty. The Index of Difficulty (ID) is a metric measured in ‘bits’ quantifies task difficulty through the quotient of target width and target motion, i.e., distance travelled. The time required to complete the target motion is …
Assess The Performance Against Ets And Pm1 And Evaluate The Users’ Experiences Of Comfort Of Nasal Filters,
2020
West Virginia University
Assess The Performance Against Ets And Pm1 And Evaluate The Users’ Experiences Of Comfort Of Nasal Filters, Ibrahim Almuhaidib
Graduate Theses, Dissertations, and Problem Reports (ETD)
Many cities around the world experience severe air pollution. According to the World Health Organization (WHO), 7 million people die annually from exposure to small airborne Particulate Matter (PM) that is found in atmospheric pollution. Particulate matter in atmospheric pollution is one of six classifications of common air pollutants and is typically referred to as PM1 and PM2.5. Particulates designated as PM1 and PM2.5 refer to particles having aerodynamic diameters of 1 or 2.5 micrometer (µm), respectively. These size ranges of particles are the most commonly found in air pollution. It is hard to differentiate …
Application Of Reliability Centered Maintenance In Railway Tracks,
2020
University of Central Florida
Application Of Reliability Centered Maintenance In Railway Tracks, Sarita Rattanakunuprakarn
Electronic Theses and Dissertations, 2020-2023
Rail transport has played a significant role for a long time in the U.S. history. As other alternative transport modes have been developed, rail transport has increasingly faced more challenges to stay competitive. While heavy use of the rail, shortened service life and the need to meet consumer expectations have placed challenges, maintenance has become an integral part of the railway industry to assure efficacy and reliability of rail transportation. For this reason, there is a constant need to improve maintenance for a number of purposes, such as safety, quality, capacity, reliability, availability, punctuality, etc. In addition, optimizing maintenance strategy …
Mobile Health Technology To Enhance Healthcare Service Delivery In Developing Nations (Saudi Arabia),
2020
University of Central Florida
Mobile Health Technology To Enhance Healthcare Service Delivery In Developing Nations (Saudi Arabia), Nawaf Khan
Electronic Theses and Dissertations, 2020-2023
Saudi Arabia is among the countries that have very high prevalence rates of diabetes and hypertension, with prevalence rates of almost 18% and 25%, respectively. The majority of patients with diabetes and hypertension fail to manage their diseases and to show up for their follow up appointments. Mhealth technology is among the interventions that have been recently adopted to overcome these issues and improve the quality of healthcare services. This study aims to evaluate the effectiveness of a mobile phone application named diabetes and hypertension application (DHA Tracking) to promote adherence for patients with diabetes and hypertension in Mecca, Saudi …
Leveraging Augmented Reality For Real-Time Operational Performance Management,
2020
University of Central Florida
Leveraging Augmented Reality For Real-Time Operational Performance Management, Joshua Nelson
Electronic Theses and Dissertations, 2020-2023
Augmented Reality (AR) projects a virtual overlay onto real space so that the user can see a superimposed image over the real-world background. Although AR has advanced recently and a breadth of applications can be found in practice, they are focused on simple tasks with few examples of more complex work tasks. One area that could benefit from advancing AR technology is operations management, specifically operational performance measurement (OPM); however, a brief review of the literature reveals that this potential application area has not yet been explored. Therefore, the purpose of this work is to investigate the application of AR …
The Improvement Of Shewhart-Stable Time Series Processes By Applying Jensen-Shannon Complexity Measures To Characterize Emergent Structure,
2020
University of Central Florida
The Improvement Of Shewhart-Stable Time Series Processes By Applying Jensen-Shannon Complexity Measures To Characterize Emergent Structure, Blaine Lorimer
Electronic Theses and Dissertations, 2020-2023
Despite the nearly universal imperative to continuously improve processes, Shewhart-stable time series are often ignored for improvement because of various generalized assumptions and "rules", many of which are actually very context dependent. The process control literature presents widely divergent views, including the extreme position that stable processes are completely random and therefore any further compensation ("tampering") can only increase process variability. The traditional reductionist approach to process improvement characterizes underlying factors using statistical variance measures, which has been very effective for unstable processes. However, this approach, especially when it involves Shewhart control charts, is generally much less effective for directing …
Identifying Diurnal Variability Of Brain Connectivity Patterns Using Graph Theory,
2020
University of Central Florida
Identifying Diurnal Variability Of Brain Connectivity Patterns Using Graph Theory, Farzad Vasheghani Farahani
Electronic Theses and Dissertations, 2020-2023
Circadian rhythms are 24-hour fluctuations determining periodicity in a wide range of physiological processes, including neural activity and hormone secretion, which controls sleeping and feeding habits. Despite significant diurnal variation in human brain function, neuroscientists have rarely considered the effects of time-of-day on their studies. Moreover, there are interpersonal discrepancies in sleep-wake patterns, diurnal preferences, and daytime alertness (known as chronotypes), which can cause different diurnal profiles in human cognition and brain performance. The study of circadian typology differences has increased in recent years, however, examining the effects of both time-of-day and people's chronotype requires further elucidation. In the present …
Creation And Analysis Of An Enhanced Rascal-Lvc Framework Capable Of Simulating Ionizing Radiation Damage To Emergency Responders During A Nuclear Power Plant Disaster: A Case Study In Unmanned Aerial Vehicle Electronic System Survivability,
2020
University of Central Florida
Creation And Analysis Of An Enhanced Rascal-Lvc Framework Capable Of Simulating Ionizing Radiation Damage To Emergency Responders During A Nuclear Power Plant Disaster: A Case Study In Unmanned Aerial Vehicle Electronic System Survivability, Buder Shageer
Electronic Theses and Dissertations, 2020-2023
This study developed and analyzed the use of a live virtual constructive (LVC) framework capable of simulating ionizing radiation damage to Unmanned Aerial Vehicles (UAV) during a nuclear power plant disaster. UAV response promises greater safety to humans over helicopters as well as provides longer survivability in the presence of irradiated environments. However, electronics in unmanned systems are subject to radiation damage and over time eventual failure. A LVC simulation framework may offer an independent and low-cost assessment of equipment life expectancy. Knowing life expectancy of equipment for operational scenarios is critical for emergency management planners. This research creates an …
The Gamification Framework Of Military Flight Simulator For Effective Learning And Training Environment,
2020
University of Central Florida
The Gamification Framework Of Military Flight Simulator For Effective Learning And Training Environment, Daeho Noh
Electronic Theses and Dissertations, 2020-2023
The purpose of this thesis is to develop a framework for the gamification of flight simulators to provide an active learning and training environment for military jet pilots. Currently, with the development of visual displays and computer processing capabilities, the modern simulator has made great progress in visual and auditory terms that is incomparable to the past. In addition, functions that were previously implemented through supercomputers and complex hardware devices are now available through desktop computers at an affordable cost. Despite these advances, the simulators so far are thought to have been negligent in building an active learning and training …
Human Performance In Virtual Reality Environments And Its Exploration With Engineering Analytics,
2020
University of Central Florida
Human Performance In Virtual Reality Environments And Its Exploration With Engineering Analytics, Fahad Alasim
Electronic Theses and Dissertations, 2020-2023
Engineering Analytics (EA) is a technique used to derive meaningful insight from gathered data. It is an approach that has arisen, and it includes the process of analyzing data using analytics tools from fields such as Big Data, Machine Learning (ML), traditional operations research, statistics, and numerical methods. Industrial Engineering is an engineering field concerned with how to design better, improve, and install integrated systems, uses EA to understand and continually improve, innovate, and build new processes. Therefore, EA and Virtual Reality (VR) technology can be used in combination with Electroencephalography (EEG), a physiological measurement, to investigate human areas. The …
The Impact Of Work Environment On Successful Implementation Of Lean Six Sigma In Emergency Department,
2020
University of Central Florida
The Impact Of Work Environment On Successful Implementation Of Lean Six Sigma In Emergency Department, Elaf Makkawi
Electronic Theses and Dissertations, 2020-2023
Continuous improvement (CI) is an initiative to improve the performance of processes in alignment with the customer needs and organizational strategy. Lean Six Sigma (LSS) is one of the most successful CI techniques in redesigning and improving significant processes to improve quality and eliminate waste. The healthcare sector has benefited from applying LSS due to its complicated work practices that face many challenges including increased expenditures and difficulties related to individual or community access to appropriate care. In particular, Emergency Departments (ED) have an important unit within healthcare organizations due to their essential role in providing urgent medical care services …
Assessing The Potential Of Implementing Blockchain In Supply Chains Using Agent-Based Simulation And Deep Learning,
2020
University of Central Florida
Assessing The Potential Of Implementing Blockchain In Supply Chains Using Agent-Based Simulation And Deep Learning, Mohammad Obeidat
Electronic Theses and Dissertations, 2020-2023
In this decade, with the rise of data science accompanying the growth of e-commerce, many technologies have been developed. An example of these technologies is Blockchain, which has appeared to overcome security problems potentially. This research assesses Blockchain's implementation in supply chains through a methodology that uses deep learning and agent-based simulation. A case study was utilized to observe and validate research developments. The unique method predicts intrusions by using deep learning, and agent-based modeling reproduces artificial but convincing agents (e.g., customers, companies, hackers, and cyber pirates) in a computer-generated market. Trust and other relationships are systematically captured to represent …
An Approach To Modeling Simulated Military Human-Agent Teaming,
2020
University of Central Florida
An Approach To Modeling Simulated Military Human-Agent Teaming, Maartje Hidalgo
Electronic Theses and Dissertations, 2020-2023
With the rise of human-agent teaming (HAT), a new cycle of scientific discovery commenced. Through scientific discovery, a number of theories of constructs in HAT were developed, however, an overarching model is lacking that elucidates the relative importance of these constructs in relation to human performance. The main objective of this research was to develop a model of simulated military HAT and to validate it against selected empirical data. Experimental data borrowed from four simulated military HAT studies were used to test the proposed Core model. The Core model was assumed to be directly affecting task performance and consisted of …
Investigation In Engineering Leadership Using System Engineering And Virtual Reality,
2020
University of Central Florida
Investigation In Engineering Leadership Using System Engineering And Virtual Reality, Charles Davis
Electronic Theses and Dissertations, 2020-2023
System Engineering can help derive requirements and specifications to build virtual environments which are good to test behaviors and attitudes. Virtual simulations can have a strong impact because role-playing facilitates active learning, permits the acceptance of new concepts, and generates increased interest, enthusiasm, and motivation. Research over the last 50 years has shown that reasoning with and about context is an essential aspect of human cognition, permeating language, memory, and reasoning capabilities. This integral process is developed over a lifetime through experiential learning. In this research, we utilize systems engineering to capture guidelines from psychologist and concepts of technological leadership. …
Weather Prediction: Improving Accuracy Using Data Mining And Forecasting Techniques,
2020
University of Texas at El Paso
Weather Prediction: Improving Accuracy Using Data Mining And Forecasting Techniques, Pedro Marquez
Open Access Theses & Dissertations
This study is focused to provide the insights of weather to understand the significance of weather changes in any parameter. Weather forecasting contributes to the social and economic welfare in many sections of the society. Weather is extremely difficult to predict because it is a complex and chaotic system. This means that small errors in the initial conditions of a forecast grow rapidly and affect predictability. Nowadays, massive real-time data is being generated by IoT devices, radars, weather stations, and satellites. The need to adopt big data analytics in IoT applications is compelling. These two technologies have already been recognized …
แบบจำลองสถานการณ์ของเหตุการณ์ที่ไม่ต่อเนื่องเพื่อประเมินประสิทธิภาพของท่าเรือบก กรณีศึกษาท่าเรือบกลาดกระบัง,
2020
คณะวิศวกรรมศาสตร์
แบบจำลองสถานการณ์ของเหตุการณ์ที่ไม่ต่อเนื่องเพื่อประเมินประสิทธิภาพของท่าเรือบก กรณีศึกษาท่าเรือบกลาดกระบัง, พิพัฒน์ พิมพะนิตย์
Chulalongkorn University Theses and Dissertations (Chula ETD)
ท่าเรือบกเป็นหนึ่งในสิ่งอำนวยความสะดวกหลักในเครือข่ายการขนส่งทางทะเล ที่ช่วยให้ผู้ขนส่งสามารถเข้าถึงภูมิภาคต่าง ๆ ของโลกได้ ผ่านการเชื่อมต่อกับท่าเรือ ในขณะที่ผลกระทบของท่าเรือบกต่อประสิทธิภาพของการขนส่งแบบหลายรูปแบบนั้นค่อนข้างมีความชัดเจนในช่วงเวลาที่ผ่านมา การประเมินประสิทธิภาพของท่าเรือบกเองกลับมีความซับซ้อน เนื่องจากมีความเกี่ยวพันกับผู้ให้บริการที่หลากหลาย ซี่งแต่ละผู้ให้บริการต่างก็บริหารจัดการทรัพยากรภายใน หรือ CHE ที่มีจำนวนแตกต่างกันออกไป ด้วยเหตุดังกล่าว ผู้วิจัยจึงได้นำเสนอแบบจำลองสถานการณ์ของเหตุการณ์ที่ไม่ต่อเนื่อง เพื่อใช้ในการประเมินประสิทธิภาพของท่าเรือบกลาดกระบัง (LICD) ในปัจจุบัน และในอนาคต ผ่านโปรเเกรม SIMIO โดยอ้างอิงจากข้อมูลของ LICD ในปัจจุบัน และแผนการปรับปรุง LICD ใหม่ จากการศึกษา ผู้วิจัยพบว่า เมื่อพิจารณาจากประสิทธิภาพการใช้งานของทรัพยากรภายใน LICD ประสิทธิภาพโดยรวมของ LICD ในปัจจุบันมีค่าค่อนข้างต่ำ โดยเฉพาะอย่างยิ่งสำหรับรถบรรทุกหัวลากภายใน นอกจากนี้ผู้วิจัยยังพบว่า ประสิทธิภาพของการใช้งานทรัพยากรภายในมีแนวโน้มที่เปลี่ยนแปลงไปอย่างเห็นได้ชัด เมื่อมีการเปลี่ยนสัดส่วนการขนส่งตามนโยบายการขนส่งใหม่ ในทำนองเดียวกัน ประสิทธิภาพโดยรวมของ LICD ในอนาคตนั้น ส่วนใหญ่ขึ้นอยู่กับจำนวนของทรัพยากรภายในแต่ละประเภทที่ถูกสรรหามาในแต่ละรอบการสรรหา โดยรถเครนขนถ่ายตู้คอนเทนเนอร์ปกติ หรือ FCL Crane จัดเป็นทรัพยากรภายในหลักที่มีแนวโน้มการใช้งานมากสูงสุด ด้วยเหตุดังกล่าว ผู้วางแผนจึงควรจัดหา FCL Crane ในแต่ละรอบการสรรหาให้เหมาะสมกับจำนวนตู้คอนเทนเนอร์ที่มีการขนถ่ายผ่าน LICD เพื่อให้ LICD สามารถดำเนินการได้อย่างมีประสิทธิภาพสูงสุด
Factors Affecting The Performance Of Photo-Voltaic Solar Energy Storage,
2020
University of Central Florida
Factors Affecting The Performance Of Photo-Voltaic Solar Energy Storage, Vasanth Bhat
Electronic Theses and Dissertations, 2020-2023
One of the most important factors in a nation's development is energy availability. All the aspects of its economy are directly proportional to the energy resources. Oil is one of the most sought energy resources currently. Solar energy is one of the most important renewable sources of energy available to us. With oil deposits depleting and current global warming, there is an emphasis on using more and more renewable sources or clean energy. This has led to immense research on solar cells and how it could better be used to get maximum output. Storage of energy is another aspect that …
Queueing-Inventory Models For A Two-Vendor System With Positive Service Times,
2020
Kettering University
Queueing-Inventory Models For A Two-Vendor System With Positive Service Times, Srinivas Chakravarthy, Khizer Hayat
Industrial & Manufacturing Engineering Publications
Queueing-inventory systems wherein the demands are processed with random service times have been getting a lot of attention recently. In such systems, each demand needs one or more inventory items and needs positive processing times. The inventory is generally replenished using -type policy and the lead times are assumed to be random. In this paper we introduce the concept of multiple vendors who will be responsible for the replenishment of inventory. Under the assumptions of a two-vendor system wherein the demands occurring according to a Markovian arrival process, the service times to be of phase type, and the lead times …
Effects Of Chemically Assisted Magnetic Abrasive Finishing Process Parameters On Material Removal Of Inconel 625 Tubes,
2020
The University of Texas Rio Grande Valley
Effects Of Chemically Assisted Magnetic Abrasive Finishing Process Parameters On Material Removal Of Inconel 625 Tubes, Gurpreet Singh, Harish Kumar, Harmesh Kumar Kansal, Anil K. Srivastava
Manufacturing & Industrial Engineering Faculty Publications
With technological developments in manufacturing fields, many advanced materials and alloys have been introduced to fulfill industrial requirements. One of such type of advanced materials, Inconel 625 possesses superior materialistic properties and finds number of industrial applications in Aerospace, Marine, Petro-chemical and Solar power stations etc. However, machining and finishing of Inconel 625 components are still remain difficult tasks to deals with. A recently developed finishing process: Magnetic Abrasive Finishing (MAF) process has been experimented to finish Inconel 625 surfaces but this process is not much effective to finish and machine Inconel 625 work surfaces. In present work, Chemically assisted …
การพยากรณ์การบริโภคน้ำมันสำเร็จรูปกลุ่มหลักของประเทศไทยด้วยเทคนิคการเรียนรู้ของเครื่อง,
2020
คณะวิศวกรรมศาสตร์
การพยากรณ์การบริโภคน้ำมันสำเร็จรูปกลุ่มหลักของประเทศไทยด้วยเทคนิคการเรียนรู้ของเครื่อง, พิศาล สามัง
Chulalongkorn University Theses and Dissertations (Chula ETD)
กิจกรรมทางเศรษฐกิจของประเทศไทยในปัจจุบันมีการใช้ประโยชน์จากการบริโภคน้ำมันสำเร็จรูปเป็นหลักในภาคการขนส่ง ภาคอุตสาหกรรม และภาคครัวเรือน การพยากรณ์การบริโภคน้ำมันสำเร็จรูปเป็นวิธีหนึ่งที่ช่วยให้ผู้ที่เกี่ยวข้องใช้ตัดสินใจการวางแผนบริหารจัดการน้ำมันสำเร็จรูปให้เพียงพอต่อความต้องการใช้งานที่จะเกิดขึ้นในอนาคต งานวิจัยนี้นำเสนอและเปรียบเทียบตัวแบบการพยากรณ์เพื่อใช้สำหรับการพยากรณ์ปริมาณการบริโภคน้ำมันสำเร็จรูปกลุ่มหลักของประเทศไทย ได้แก่ น้ำมันดีเซล น้ำมันเบนซิน และน้ำมันเครื่องบิน ซึ่งเป็นน้ำมันสำเร็จรูปที่มีปริมาณการบริโภคมากที่สุด 3 อันดับแรก วัตถุประสงค์ของงานวิจัยนี้คือเพื่อศึกษาวิธีการพยากรณ์และเลือกตัวแบบที่เหมาะสมสำหรับการพยากรณ์ปริมาณการบริโภคน้ำมันสำเร็จรูปกลุ่มหลักของประเทศไทยโดยการเปรียบเทียบผลการพยากรณ์ของตัวแบบอนุกรมเวลาเชิงสถิติ ตัวแบบการพยากรณ์เชิงสาเหตุ ตัวแบบการเรียนรู้ของเครื่อง และตัวแบบผสม ความแม่นยำของการพยากรณ์จะถูกเปรียบเทียบโดยใช้ค่าเฉลี่ยของร้อยละความคลาดเคลื่อนสัมบูรณ์ (MAPE) ข้อมูลที่ใช้ในงานวิจัยนี้เป็นข้อมูลรายไตรมาสในช่วงเวลาตั้งแต่เดือนมกราคม พ.ศ. 2536 ถึงเดือนธันวาคม พ.ศ. 2562 ตัวแบบที่ศึกษาในงานวิจัยนี้ได้แก่ Holt-Winters, SARIMA, SARIMAX, Multiple Linear Regression (MLR), RANSAC Regression, K-nearest Neighbor Algorithm (KNN), Support Vector Regression (SVR), Adaboost (ADA), Artificial Neural Network (ANN) และตัวแบบผสม ผลการศึกษาพบว่าตัวแบบผสม SARIMAX-ANN-SVR-RANSAC-REG ตัวแบบผสม SARIMAX-ANN-RANSAC-REG และตัวแบบผสม SARIMAX-SVR มีความแม่นยำสูงและเหมาะสมที่สุดในการพยากรณ์ปริมาณการบริโภคน้ำมันดีเซล น้ำมันเบนซิน และน้ำมันเครื่องบิน ตามลำดับ และมีค่า MAPE เท่ากับ 2.2785% 1.9966% และ 3.5055% ตามลำดับ
