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Articles 5791 - 5820 of 13842

Full-Text Articles in Engineering

Application Of Reliability Centered Maintenance In Railway Tracks, Sarita Rattanakunuprakarn Jan 2020

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 …

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Mobile Health Technology To Enhance Healthcare Service Delivery In Developing Nations (Saudi Arabia), Nawaf Khan Jan 2020

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 …

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Leveraging Augmented Reality For Real-Time Operational Performance Management, Joshua Nelson Jan 2020

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 …

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Systemic Analysis Of The Use Of Artificial Intelligence (Ai) In Regulating Terrorist Content On Social Media Ecosystem Using Functional Dependency Network Analysis (Fdna), Alaina Roman, C. Ariel Pinto Jan 2020

Systemic Analysis Of The Use Of Artificial Intelligence (Ai) In Regulating Terrorist Content On Social Media Ecosystem Using Functional Dependency Network Analysis (Fdna), Alaina Roman, C. Ariel Pinto

OUR Journal: ODU Undergraduate Research Journal

This research is a systemic analysis of emerging risks to the use Artificial Intelligence (AI) in regulating terrorist content on social media ecosystems using Functional Dependency Network Analysis (FDNA), a proven system-design-and-analysis tool). The research has three phases: 1) framing the problem by identifying and describing AI ecosystem elements as intended, implied and explicit objectives, discernible attributes, and performance indictors; 2) describing the idealized problem-solved scenario, which includes detailing ‘success’ states of the ecosystem; and 3) systemic risk analysis including identifying failure scenarios for each element and establishing causalities among elemental attributes leading to failure scenarios. This research contributes toward …

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The Improvement Of Shewhart-Stable Time Series Processes By Applying Jensen-Shannon Complexity Measures To Characterize Emergent Structure, Blaine Lorimer Jan 2020

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 …

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Identifying Diurnal Variability Of Brain Connectivity Patterns Using Graph Theory, Farzad Vasheghani Farahani Jan 2020

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 …

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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 Jan 2020

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 …

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The Gamification Framework Of Military Flight Simulator For Effective Learning And Training Environment, Daeho Noh Jan 2020

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 …

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Human Performance In Virtual Reality Environments And Its Exploration With Engineering Analytics, Fahad Alasim Jan 2020

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 …

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The Impact Of Work Environment On Successful Implementation Of Lean Six Sigma In Emergency Department, Elaf Makkawi Jan 2020

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 …

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Assessing The Potential Of Implementing Blockchain In Supply Chains Using Agent-Based Simulation And Deep Learning, Mohammad Obeidat Jan 2020

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 …

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An Approach To Modeling Simulated Military Human-Agent Teaming, Maartje Hidalgo Jan 2020

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 …

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Investigation In Engineering Leadership Using System Engineering And Virtual Reality, Charles Davis Jan 2020

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. …

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Hedonic Games And Monte Carlo Simulation, Sheida Etemadidavan, Andrew J. Collins Jan 2020

Hedonic Games And Monte Carlo Simulation, Sheida Etemadidavan, Andrew J. Collins

Engineering Management & Systems Engineering Faculty Publications

Hedonic games have applications in economics and multi-agent systems where the grouping preferences of an individual is important. Hedonic games look at coalition formation, amongst the players, where players have a preference relation over all the coalition. Hedonic games are also known as coalition formation games, and they are a form of a cooperative game with a non-transferrable utility game. Some examples of hedonic games are stable marriage, stable roommate, and hospital/residence problem. The study of hedonic games is driven by understanding what coalition structures will be stable, i.e., given a coalition structure, no players have an incentive to deviate …

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Cyber-Assets At Risk (Car): The Cost Of Personally Identifiable Information Data Breaches, Omer Ilker Poyraz, Sarah Bouazzaoui, Omer Keskin, Michael Mcshane, Ariel Pinto Jan 2020

Cyber-Assets At Risk (Car): The Cost Of Personally Identifiable Information Data Breaches, Omer Ilker Poyraz, Sarah Bouazzaoui, Omer Keskin, Michael Mcshane, Ariel Pinto

Engineering Management & Systems Engineering Faculty Publications

Severe financial consequences of data breaches enforce organizations to reconsider their cybersecurity investment. Although attack frequency and trends seem similar per industry, the impact of a data breach may exponentially increase depending on the type of information and the amount of the stolen data. Also, governments develop and improve laws and regulations to protect the privacy of individuals. Therefore, a failure of data security may yield severe penalties and class-action lawsuits, which can significantly increase the expenses than before. The monetary impact of a data breach is a new field of study that requires more sophisticated research and analysis. There …

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แบบจำลองสถานการณ์ของเหตุการณ์ที่ไม่ต่อเนื่องเพื่อประเมินประสิทธิภาพของท่าเรือบก กรณีศึกษาท่าเรือบกลาดกระบัง, พิพัฒน์ พิมพะนิตย์ Jan 2020

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

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Factors Affecting The Performance Of Photo-Voltaic Solar Energy Storage, Vasanth Bhat Jan 2020

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 …

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Determinants Of Startup Funding: The Interaction Between Web Attention And Culture, Jie Ren, Viju Raghupathi, Wullianallur Raghupathi Jan 2020

Determinants Of Startup Funding: The Interaction Between Web Attention And Culture, Jie Ren, Viju Raghupathi, Wullianallur Raghupathi

Journal of International Technology and Information Management

Technology empowers entrepreneurs to pursue alternative funding through platforms like crowdfunding. This research explores significant startup funding factors using Crunchbase. Controlling for common factors (acquisition/funding-rounds/IPO), the research uniquely focuses on web attention - the visibility on social media - and its impact on funding. It also examines the moderating influence of startup’s home country culture (individualism/collectivism). Findings show stronger positive impact of web attention on startup funding for collectivist countries. While individualistic investors value personal goals, collectivists value collaborative goals - inclinations that align with crowdfunding behavior. Therefore while increasing web attention, crowdfunding efforts can be targeted towards collectivist countries.

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Evaluating Students Information System Success Using Delone And Mclean’S Model: Student’S Perspective, Majaliwa Mkinga, Herman Mandari Jan 2020

Evaluating Students Information System Success Using Delone And Mclean’S Model: Student’S Perspective, Majaliwa Mkinga, Herman Mandari

Journal of International Technology and Information Management

System success is considered to be an important element in accomplishing the goals of the organization; therefore evaluation of system success needs to be done in order to ensure that investment in Information System is successful. Most of Higher Learning Institutions (HLIs) in Tanzania have adopted the use of IS in providing service to their customers. Nevertheless, there is less evidence that system success evaluation has been done in order to identify the desired characteristics which could make IS more effective. Due to that, this study evaluates the effectiveness of Student Information System (SIS) used at the Institute of Finance …

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Numerical Analyses And Integration Of Split Lot Sizing Using Lean Benchmark Model For Small Lot Manufacturing In High Mix Low Volume Production, Omkar Bhosale Jan 2020

Numerical Analyses And Integration Of Split Lot Sizing Using Lean Benchmark Model For Small Lot Manufacturing In High Mix Low Volume Production, Omkar Bhosale

Theses and Dissertations--Manufacturing Systems Engineering

As the global demand for automobiles has increased rapidly over the last fifty years, customers have become more particular about the characteristics of the autos they want. This change in demand, in part has pushed manufacturing to become more flexible and created a demand for alternative, more efficient processes like the High Mix Low Volume (HMLV) production of vehicles. During HMLV, manufacturers create production lot sizes and schedule to synchronize the production processes to meet customer demand on time. The demand for the automobile parts may not be uniform or parts may not be consumed by the customer immediately, Due …

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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 Jan 2020

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 …

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A Hybrid Physical Model Based Artificial Neural Network Approach To Predict Surface Texture In The Honing Of Engine Cylinder Bore, Burhan Afzel, Xueping Zhang, Anil K. Srivastava Jan 2020

A Hybrid Physical Model Based Artificial Neural Network Approach To Predict Surface Texture In The Honing Of Engine Cylinder Bore, Burhan Afzel, Xueping Zhang, Anil K. Srivastava

Manufacturing & Industrial Engineering Faculty Publications

This study proposes a hybrid model that utilizes a physical model and Artificial Neural Networks (ANN) approach to predict surface roughness during cylinder bore honing with an improved prediction efficiency of 90% compared to the standalone physical model. As a critical component of internal combustion engine technology, improvement in the surface roughness of cylinder bore can significantly reduce friction, wear and oil consumption, resulting in improved engine performance. Desired surface roughness in cylinder bore is imparted by honing, which serves as the terminal process in cylinder bore manufacturing. The cylinder bore honing process consists of rough honing, fine honing, and …

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Effet De L’Expertise Et Du Sexe Sur Les Contraintes À L’Épaule En Manutention, Etienne Goubault, Romain Martinez, Najoua Assila, Jennifer Dowling-Medley, Élodie Monga-Dubreuil, Sophie-Anne Scherrer, André Plamondon, Mickaël Begon Jan 2020

Effet De L’Expertise Et Du Sexe Sur Les Contraintes À L’Épaule En Manutention, Etienne Goubault, Romain Martinez, Najoua Assila, Jennifer Dowling-Medley, Élodie Monga-Dubreuil, Sophie-Anne Scherrer, André Plamondon, Mickaël Begon

Rapports de recherche scientifique

L’atteinte de troubles musculosquelettiques (TMS) parmi les travailleurs et travailleuses au Québec était récemment estimée à 732 000 cas (Stock et al., 2014). Ces TMS sont associés aux activités professionnelles impliquant des efforts physiques prolongés, intenses et/ou répétitifs, telles que des tâches d’assemblage, de manutention, d’aide à la personne ou encore de maintien de posture prolongée sur un poste de travail. Les membres supérieurs, qui représentaient 30,1 % des cas de TMS déclarés et acceptés au Québec de 1998 à 2007 (Michel et al., 2010), sont les plus touchés après le dos. Plus particulièrement, l’épaule figure comme l’articulation …

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Investigating The Feasibility, Procedures, Benefits, And Challenges Of Using Mixed Reality In Construction Projects: An Electrical Layout Case Study, Samjhana Shakya Jan 2020

Investigating The Feasibility, Procedures, Benefits, And Challenges Of Using Mixed Reality In Construction Projects: An Electrical Layout Case Study, Samjhana Shakya

Electronic Theses and Dissertations

Innovation and development of technology in the field of visualization have affected the way of designing, presenting, and interacting of the design in the architecture and construction industry. With the invention of the Mixed Reality (MR) device, HoloLens, 2016, many researchers and construction practitioners have marched their research of implementing the MR application in the construction industry. However, there is scarce research on the MR application review, the workflow of using BIM models with the HoloLens, its implementation in the site, and the benefits and challenges of the MR application in the construction site. The gap in the research needs …

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Queueing-Inventory Models For A Two-Vendor System With Positive Service Times, Srinivas Chakravarthy, Khizer Hayat Jan 2020

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 …

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Comparison Of Hybridizing Options For Solar Heat, Biomass And Heat Storage For Electricity Generation In Spain, Cm Iftekhar Hussain, Brian Norton, Aidan Duffy Jan 2020

Comparison Of Hybridizing Options For Solar Heat, Biomass And Heat Storage For Electricity Generation In Spain, Cm Iftekhar Hussain, Brian Norton, Aidan Duffy

Articles

Diurnal and seasonal variations of direct solar energy circumscribe locations suitable for sole use of concentrated solar power for electricity generation, whereas to generate electricity at night and during winter months, biomass systems can be used that incur fuel expenditures and may encounter fuel supply discontinuities. Combining solar heat, biomass conversion and heat storage in a hybrid electricity generation plant may overcome the limitations of sole use of any one of these energy sources in specific geographic and/or economic conditions. In this work standalone biomass, hybrid concentrated solar power-biomass and hybrid concentrated solar power-biomass-thermal energy storage power generation systems are …

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Microgrid Design, Control, And Performance Evaluation For Sustainable Energy Management In Manufacturing, Md. Monirul Islam Jan 2020

Microgrid Design, Control, And Performance Evaluation For Sustainable Energy Management In Manufacturing, Md. Monirul Islam

Doctoral Dissertations

"This research studies the capacity sizing, control strategies, and performance evaluation of the microgrids with hybrid renewable sources for manufacturing end use customers towards a distributed sustainable energy system paradigm. Microgrid technology has been widely investigated and applied in commercial and residential sector, while for manufacturers, it has been less explored and utilized. To fill the gap, the dissertation first proposes a cost-effective sizing model to identify the capacities as well as control strategies of the components in microgrids considering a commonly used energy tariff, i.e., Time of Use (TOU). Then, the sizing model is extended by integrating control strategies …

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Predicting Complex System Behavior Using Hybrid Modeling And Computational Intelligence, Vinayaka Gude Jan 2020

Predicting Complex System Behavior Using Hybrid Modeling And Computational Intelligence, Vinayaka Gude

Doctoral Dissertations

“Modeling and prediction of complex systems is a challenging problem due to the sub-system interactions and dependencies. This research examines combining various computational intelligence algorithms and modeling techniques to provide insights into these complex processes and allow for better decision making. This hybrid methodology provided additional capabilities to analyze and predict the overall system behavior where a single model cannot be used to understand the complex problem. The systems analyzed here are flooding events and fetal health care. The impact of floods on road infrastructure is investigated using graph theory, agent-based traffic simulation, and Long Short-Term Memory deep learning to …

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The Development Of A Project Typology And Selection Tool To Improve Decision-Making In Sustainable Projects, Rakan Alyamani Jan 2020

The Development Of A Project Typology And Selection Tool To Improve Decision-Making In Sustainable Projects, Rakan Alyamani

Doctoral Dissertations

"Decision-making in sustainable projects is a complex and challenging process, especially during the initiating and planning phases of project development, due to influence from several external factors, as well as the uncertain environments surrounding their creation. It is essential to improve the decision-making process in sustainable projects during these two phases by relying on strong decision-making tools. The first contribution in this work identifies gaps in the literature of how institutionalization can impact sustainable projects through the effects of institutional isomorphisms from institutional theory. This helps decision makers better understand the relationship between institutionalization and sustainable projects. The second contribution …

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Forecasting Model For The Transfer Line Exchanger Outlet Temperature Of A Cracking Furnace, Apisara Aungsutarn Jan 2020

Forecasting Model For The Transfer Line Exchanger Outlet Temperature Of A Cracking Furnace, Apisara Aungsutarn

Chulalongkorn University Theses and Dissertations (Chula ETD)

This research aims to use an application of a data analytic approach to improve the cracking furnace operation since the current process is operated based on past experience without data consideration leading to an inefficient operation. To improve the process, relationships between process input variables to the transfer line exchanger outlet temperature (TLExOT) were studied and the forecasting models for TLExOT were developed as TLExOT is a key parameter which can represent the process conditions. The models were developed to forecast TLExOT for the same day, 1, 3, and 7 days ahead for short and long term analysis. The significant …

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