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2024

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Articles 7771 - 7800 of 9235

Full-Text Articles in Engineering

Tutorial: Knowledge-Infused Artificial Intelligence For Mental Healthcare, Kaushik Roy Jan 2024

Tutorial: Knowledge-Infused Artificial Intelligence For Mental Healthcare, Kaushik Roy

Publications

Artificial Intelligence (AI) systems for mental healthcare (MHCare) have been ever-growing after realizing the importance of early interventions for patients with chronic mental health (MH) conditions. Social media (SocMedia) emerged as the go-to platform for supporting patients seeking MHCare. The creation of peer-support groups without social stigma has resulted in patients transitioning from clinical settings to SocMedia supported interactions for quick help. Researchers started exploring SocMedia content in search of cues that showcase correlation or causation between different MH conditions to design better interventional strategies. User-level Classification-based AI systems were designed to leverage diverse SocMedia data from various MH conditions, …

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Personalized Bayesian Inference For Explainable Healthcare Management And Intervention, Utkarshani Jaimini, Krishnaprasad Thirunaravan, Maninder Kalra, Robin Dawson, Amit Sheth Jan 2024

Personalized Bayesian Inference For Explainable Healthcare Management And Intervention, Utkarshani Jaimini, Krishnaprasad Thirunaravan, Maninder Kalra, Robin Dawson, Amit Sheth

Publications

Chronic healthcare conditions such as Asthma re- quires constant monitoring and managing of symptoms and their triggers for better quality of life. Each asthma patient reacts very differently to potential triggers. Hence, there is a need to develop a explainable personalized framework for each patient to capture susceptibility to asthma triggers. We developed a personalized knowledge-based probabilistic model to predict asthma exacerbation for different environmental factors utilizing patient generated health data from pediatric asthma patients. Further, the personalized model provides a metric, called Health Coefficient, to quantify the health of a patient for varying environmental factors. We demonstrate the predictive …

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Causal Neuro-Symbolic Ai: A Synergy Between Causality And Neuro-Symbolic Methods, Utkarshani Jaimini, Cory Henson, Amit Sheth Jan 2024

Causal Neuro-Symbolic Ai: A Synergy Between Causality And Neuro-Symbolic Methods, Utkarshani Jaimini, Cory Henson, Amit Sheth

Publications

Causal Neuro-Symbolic AI combines the benefits of causality with Neuro-Symbolic Artificial Intelligence (NeSyAI). More specifically, it (1) enriches NeSyAI systems with explicit representations of causality, (2) integrates causal knowledge with domain knowledge, and (3) enables the use of NeSyAI techniques for causal AI tasks. The explicit causal representation yields insights that predictive models may fail to analyze from observational data. It can also assist people in decision-making scenarios where discerning the cause of an outcome is necessary to choose among various interventions.

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Ontolog Summit 2024 Talk Report: Healthcare Assistance Challenges-Driven Neurosymbolic Ai, Kaushik Roy Jan 2024

Ontolog Summit 2024 Talk Report: Healthcare Assistance Challenges-Driven Neurosymbolic Ai, Kaushik Roy

Publications

Although Artificial Intelligence technology has proven effective in providing healthcare assistance by analyzing health data, it still falls short in supporting decision-making. This deficiency largely stems from the predominance of opaque neural networks, particularly in mental health care AI applications, which raise concerns about their unpredictable and unverifiable nature. This skepticism hinders the transition from information support to decision support. This presentation will explore neurosymbolic approaches that combine neural networks with symbolic control and verification mechanisms. These approaches aim to unlock AI’s full potential by enhancing information analysis and decision-making support for healthcare assistance1.

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A Comprehensive Survey On Rare Event Prediction, Chathurangi Shyalika Jayakody Kankanamalage, Ruwan Wickramarachchi, Amit Sheth Jan 2024

A Comprehensive Survey On Rare Event Prediction, Chathurangi Shyalika Jayakody Kankanamalage, Ruwan Wickramarachchi, Amit Sheth

Publications

Rare event prediction involves identifying and forecasting events with a low probability using machine learning (ML) and data analysis. Due to the imbalanced data distributions, where the frequency of common events vastly outweighs that of rare events, it requires using specialized methods within each step of the ML pipeline, i.e., from data processing to algorithms to evaluation protocols. Predicting the occurrences of rare events is important for real-world applications, such as Industry 4.0, and is an active research area in statistics and ML. This paper comprehensively reviews the current approaches for rare event prediction along four dimensions: rare event data, …

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Educating For Shalom In Engineering, Julie Wildschut Jan 2024

Educating For Shalom In Engineering, Julie Wildschut

University Faculty Publications and Creative Works

Created in the image of God, humans have a unique purpose within creation. We are given the task of worshipping God (Isa 43:21), sharing the gospel of Jesus Christ (Mat 28:18-20), discovering and developing the potentials of creation (Gen 2:15), struggling and praying for shalom (Isa 1:17), and celebrating instances of God’s coming kingdom (Isa 9:1-7, Col 1:19-20). As Christian engineering educators, we have the additional task of preparing students to become capable engineers and to use those skills in response to God’s call in their lives. We have the blessing of not only teaching the technical aspects of engineering, …

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Evaluating The Effectiveness Of Game-Based Virtual Reality In Satellite Ground Control Operations Education And Training, Lana Laskey, Joseph R. Keebler, Paul M. Cairns, Geovanny Lopez Jan 2024

Evaluating The Effectiveness Of Game-Based Virtual Reality In Satellite Ground Control Operations Education And Training, Lana Laskey, Joseph R. Keebler, Paul M. Cairns, Geovanny Lopez

International Journal of Aviation, Aeronautics, and Aerospace

There is increased global demand for satellite amenities such as navigation, communications, weather reporting, disaster management, agricultural operations, or humanitarian assistance. The growing demand for satellite technology amplifies the need for highly trained satellite operators. Traditional simulation training methods typically utilize two-dimensional computer displays. However, training approaches involving game-based instruction and immersive virtual reality have shown benefits when integrated with complex disciplines and may provide an advanced training alternative for satellite operators. Game-based instruction enhances user motivation and cognitive engagement, while immersive virtual reality promotes user presence and prolonged cognitive engagement. The combination of these two training methods, noted as …

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Electronic On Planes: Security Measures And Avionics Disruption, Martin Jasek, Ivana Olivková Jan 2024

Electronic On Planes: Security Measures And Avionics Disruption, Martin Jasek, Ivana Olivková

International Journal of Aviation, Aeronautics, and Aerospace

Airlines have implemented various security measures to address the use of electronics on aircraft, focusing on telecommunication services, Bluetooth technology, and personal electronic devices (PEDs). This study evaluates 50 airlines using data from websites and safety videos to assess these technologies. While the integration of new technologies like in-flight Wi-Fi and Bluetooth offers passenger benefits, concerns persist about the potential electromagnetic interference with aircraft avionics. Early research by NASA and the FCC highlighted the risks, finding that devices like mobile phones could disrupt GPS signals during critical flight phases. Despite conflicting studies, ongoing monitoring is essential to balance passenger connectivity …

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The Intellectual Structure And The Future Of Counter-Uncrewed Aerial Systems (Uas) Research: A Bibliometric And A Scoping Review, Chuyang Yang, Chenyu Huang, Yanhui Zhao Jan 2024

The Intellectual Structure And The Future Of Counter-Uncrewed Aerial Systems (Uas) Research: A Bibliometric And A Scoping Review, Chuyang Yang, Chenyu Huang, Yanhui Zhao

International Journal of Aviation, Aeronautics, and Aerospace

With advancements in remote sensing technology and affordable design, uncrewed aerial systems (UAS), commonly known as drones, have become prevalent in civil and military applications, such as agriculture, public safety, and aerial imaging. However, the rise in unlawful UAS activities, such as non-compliance with legal standards and potential terrorist attacks, has raised significant public concern, necessitating effective detection and mitigation solutions. Despite the growing importance of this issue, comprehensive and detailed examinations of existing counter-UAS solutions are lacking. To address this gap, this study conducts a bibliometric analysis and scoping review of the current literature to identify key topics and …

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Empowering Causal Machine Learning For Large-Scale Manufacturing Pipelines With Knowledge Graphs, Yuxin Zi, Cory Henson, Amit P. Sheth Jan 2024

Empowering Causal Machine Learning For Large-Scale Manufacturing Pipelines With Knowledge Graphs, Yuxin Zi, Cory Henson, Amit P. Sheth

Faculty Publications

Understanding causal relations within manufacturing pipelines is crucial for key manufacturing tasks such as anomaly detection and root cause analysis. However, existing causal machine learning (causal ML) approaches struggle to scale effectively to the vast number of variables present in manufacturing settings. We advocate for incorporating domain knowledge within the manufacturing pipelines, represented as knowledge graphs (KGs), for designing causal ML methods for large-scale manufacturing problems. Knowledge graphs can encode rich contextual information about the interactions and dependencies between different components and stages of the manufacturing pipeline, providing a structured framework to guide the discovery of causal relationships. By incorporating …

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Neurosymbolic Ai Approach To Attribution In Large Language Models, Deepa Tilwani, Revathy Venkataramanan, Amit P. Sheth Jan 2024

Neurosymbolic Ai Approach To Attribution In Large Language Models, Deepa Tilwani, Revathy Venkataramanan, Amit P. Sheth

Faculty Publications

Attribution in large language models (LLMs) remains a significant challenge, particularly in ensuring the factual accuracy and reliability of the generated outputs. Current methods for citation or attribution, such as those employed by tools like Perplexity.ai and Bing Search-integrated LLMs, attempt to ground responses by providing real-time search results and citations. However, so far, these approaches suffer from issues such as hallucinations, biases, surface-level relevance matching, and the complexity of managing vast, unfiltered knowledge sources. While tools like Perplexity.ai dynamically integrate web-based information and citations, they often rely on inconsistent sources such as blog posts or unreliable sources, which limits …

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Using Electro-Peroxone Process To Remediate Stabilized Clay, Elaheh Faghih Nasiri, Farhad Qaderi, S. Mustapha Rahmaninezhad Jan 2024

Using Electro-Peroxone Process To Remediate Stabilized Clay, Elaheh Faghih Nasiri, Farhad Qaderi, S. Mustapha Rahmaninezhad

Civil Engineering Faculty Publications

Industrial processes are among human activities that cause the production of a large volume of wastewater containing organic pollutants such as phenol and its derivatives. These pollutants are among the substances that are considered a serious threat to the health of the environment, soil and humans. Soil remediation is crucial for enhancing environmental quality for both humans and other living organisms. This study investigated the use of an electro-peroxone system to remove environmental pollutants from soil. In conjunction with ozonation, the study employed electrochemically generated hydrogen peroxide using a carbon electrode, addressing concerns about transportation and storage. Experiments were structured …

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Development Of A New Type Of Air-Barrier Slabs To Mitigate The Thermal Bridging Activity, Md Asfaq Hafiz, Md Ashiqul Islam, Sk Md Imdadul Islam, Md Shoriful Islam Jan 2024

Development Of A New Type Of Air-Barrier Slabs To Mitigate The Thermal Bridging Activity, Md Asfaq Hafiz, Md Ashiqul Islam, Sk Md Imdadul Islam, Md Shoriful Islam

Civil Engineering Faculty Publications

Flat concrete roofs, a common global roofing system, are particularly susceptible to high temperatures during summer due to extended sun exposure. This often results in increased indoor temperatures on top floors, leading to a significant rise in cooling costs - a concern with both individual and national economic implications. Despite available solutions, like insulation, the cost of implementation postconstruction can be prohibitive. This is especially true in South Asia, where vast urban areas consist predominantly of concrete structures and comprehensive heat control measures are seldom in place. Heat absorption by a top floor is influenced by factors such as seasonal …

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On The Performance Of A Photonic Reconfigurable Electromagnetic Band Gap Antenna Array For 5g Applications, Taha A. Elwi, Fatma Taher, Bal S. Virdee, Mohammad Alibakhshikenari, Ignacio J.Garcia Zuazola, Astrit Krasniqi, Amna Shibib Kamel, Nurhan Turker Tokan, Salahuddin Khan, Naser Ojaroudi Parchin, Patrizia Livreri, Iyad Dayoub, Giovanni Pau, Sonia Aissa, Ernesto Limiti, Mohamed Fathy Abo Sree Jan 2024

On The Performance Of A Photonic Reconfigurable Electromagnetic Band Gap Antenna Array For 5g Applications, Taha A. Elwi, Fatma Taher, Bal S. Virdee, Mohammad Alibakhshikenari, Ignacio J.Garcia Zuazola, Astrit Krasniqi, Amna Shibib Kamel, Nurhan Turker Tokan, Salahuddin Khan, Naser Ojaroudi Parchin, Patrizia Livreri, Iyad Dayoub, Giovanni Pau, Sonia Aissa, Ernesto Limiti, Mohamed Fathy Abo Sree

All Works

In this paper, a reconfigurable Multiple-Input Multiple-Output (MIMO) antenna array is presented for 5G portable devices. The proposed array consists of four radiating elements and an Electromagnetic Band Gap (EBG) structure. Planar monopole radiating elements are employed in the array with Coplanar Waveguide Ports (CWPs). Each CWP is grounded on one side to a reflecting L-shaped structure that has an effect of improving the antenna's directivity. It is shown that by inductively connecting Minkowski fractal structure of 1^{st} order to the radiating element, the impedance matching is improved that results in enhancement in the array's bandwidth performance. The EBG structure …

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Investigation And Implementation Of Miniaturized Microwave System For Linear Array Antenna Loaded With Omega Structures Planar Array, Ahmed F. Miligy, Fatma Taher, Mohamed Fathy Abo Sree, Sara Yehia Abdel Fatah, Thamer Alghamdi, Moath Alathbah Jan 2024

Investigation And Implementation Of Miniaturized Microwave System For Linear Array Antenna Loaded With Omega Structures Planar Array, Ahmed F. Miligy, Fatma Taher, Mohamed Fathy Abo Sree, Sara Yehia Abdel Fatah, Thamer Alghamdi, Moath Alathbah

All Works

This paper investigates and implements a miniaturized microwave system for microstrip linear array antenna that operates in X-band (10.1 GHz), S-band (3.4 GHz) and C-band (5.6 GHz). The microwave system consists of three parts: a power divider, a directional coupler, and a matching network stub. These systems feed a linear array (16 elements) of patch antennas loaded with resonance planar omega structures array (160 elements) distributed in both patch (64 elements) and ground (96 elements) as the metamaterial structures for miniaturization purpose. The 1-to-2 divider feeds two directional couplers that act as phase shifters. The couplers fed a set of …

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เทคนิคการจัดกลุ่ม K-Means แบบการคำนวณควอนตัม, ภานุวัฒน์ ธนาภรณ์ชินพงษ์ Jan 2024

เทคนิคการจัดกลุ่ม K-Means แบบการคำนวณควอนตัม, ภานุวัฒน์ ธนาภรณ์ชินพงษ์

Chulalongkorn University Theses and Dissertations (Chula ETD)

วิทยานิพนธ์ฉบับนี้ศึกษาอัลกอริธึม K-Means แบบผสมระหว่างควอนตัมและคลาสสิก สำหรับการจัดกลุ่มข้อมูลผู้ป่วยโรคหัวใจ โดยใช้วงจร swap-test ของควอนตัมในการคำนวณระยะทาง และได้ทำการทดสอบบนควอนตัมคอมพิวเตอร์จำลองใน 2 แนวทาง คือแบบที่มีสัญญาณรบกวน และแบบอุดมคติ ด้วยชุดข้อมูลจริงที่มีมากกว่า 1,000 รายการ ผลการทดลองแสดงให้เห็นว่า วิธีควอนตัมทั้งสองสามารถทำความแม่นยำได้สูงถึง 0.83 และให้ค่า F1-score ใกล้เคียงกับ K-Means แบบคลาสสิก (0.82–0.83) แม้ในกรณีค่าจากควอนตัมคอมพิวเตอร์ที่มีสัญญาณรบกวน ผลการศึกษานี้ชี้ให้เห็นถึงศักยภาพในการใช้งานจริงของวิธีจัดกลุ่มที่ได้รับการเสริมด้วยควอนตัม

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Dynamic Modeling And Control Of A Solid State Semiconductor-Based Transformer, Microgrid And Storage Systems, Rubén Darío Viñán-Velasco Jan 2024

Dynamic Modeling And Control Of A Solid State Semiconductor-Based Transformer, Microgrid And Storage Systems, Rubén Darío Viñán-Velasco

Department of Electrical and Computer Engineering: Dissertations, Theses, and Student Research

Smart Grids are power grid models designed with the idea of including the growing new technologies, from generation to storage devices, and are a response to the growing demands from consumers and the presence of electronic components being commonplace in the modern devices. The design requires a dynamic alternative in order to build an independent grid that can also work in cooperation with other micro-grids and the power grid in an integrated way. Smart-grids present several advantages over the traditional power grid scheme, but the economic costs of the components required to implement smart-grids is currently a great limitation. This …

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การพยากรณ์จำนวนสายโทรศัพท์เข้าของศูนย์บริการข้อมูลทางโทรศัพท์แบบรายครึ่งชั่วโมง, กฤตชญา ประภารัตน์ Jan 2024

การพยากรณ์จำนวนสายโทรศัพท์เข้าของศูนย์บริการข้อมูลทางโทรศัพท์แบบรายครึ่งชั่วโมง, กฤตชญา ประภารัตน์

Chulalongkorn University Theses and Dissertations (Chula ETD)

การวิจัยนี้มีวัตถุประสงค์เพื่อศึกษาโมเดลที่เหมาะสมสำหรับการพยากรณ์จำนวนสายโทรศัพท์เข้าของศูนย์บริการข้อมูลทางโทรศัพท์แบบรายครึ่งชั่วโมง โดยศูนย์บริการข้อมูลทางโทรศัพท์ หรือ Call Center มีบทบาทเป็นศูนย์รวมสายโทรเข้าและโทรออกของธุรกิจ ซึ่งเป็นช่องทางสำคัญในการตอบสนองความต้องการของลูกค้า ไม่ว่าจะเป็นการสอบถามข้อมูล การขอคำแนะนำ หรือแก้ปัญหาต่าง ๆ ศูนย์บริการข้อมูลทางโทรศัพท์จึงมีการจัดวางแผนกำลังคนรับสาย เพื่อให้สอดคล้องกับปริมาณสายโทรศัพท์ที่คาดว่าจะเข้ามา แต่ในบางครั้งการวางแผนจัดกำลังคนรับสายอาจต้องมีการปรับระหว่างวัน เนื่องจากจำนวนสายโทรเข้าอาจมีจำนวนมากกว่าหรือน้อยกว่าที่คาดการณ์ไว้ ซึ่งวิธีการเดิมที่บริษัทใช้ในการคำนวน อาจมีความคลาดเคลื่อน และไม่สามารถปรับตัวเลขได้ภายในระยะเวลาอันสั้น งานวิจัยนี้จึงนำเสนอการพยากรณ์จำนวนสายโทรศัพท์เข้าของศูนย์บริการข้อมูลทางโทรศัพท์แบบรายครึ่งชั่วโมง มีวัตถุประสงค์เพื่อพยากรณ์ปริมาณสายการโทรเข้าช่วงหลัง 10 น. เพื่อช่วยให้ฝ่ายวางแผนกำลังคนเห็นแนวโน้มปริมาณสายที่คาดว่าจะเข้ามา และตัดสินใจปรับแผนการจัดกำลังคนได้อย่างทันท่วงที โดยโมเดลจะจัดกลุ่มและพยากรณ์รูปแบบการกระจายตัวของปริมาณสายโทรเข้า และพยากรณ์จำนวนสายที่คาดว่าจะเข้ามา ผลการทดลองพบว่า โมเดลที่พัฒนาขึ้นมี MAPE อยู่ที่ 20.8% ซึ่งมีประสิทธิภาพดีกว่าวิธีการคำนวนเดิมของบริษัทที่มี MAPE อยู่ที่ 52.7%

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การแบ่งส่วนเนื้องอกตับโดยใช้โมเดลการเรียนรู้เชิงลึกด้วยโครงข่ายความสนใจจากรูปภาพสเปคซีที, วันรัฐ ลิ้มประไพพงษ์ Jan 2024

การแบ่งส่วนเนื้องอกตับโดยใช้โมเดลการเรียนรู้เชิงลึกด้วยโครงข่ายความสนใจจากรูปภาพสเปคซีที, วันรัฐ ลิ้มประไพพงษ์

Chulalongkorn University Theses and Dissertations (Chula ETD)

การแบ่งส่วนเนื้องอกในตับโดยอัตโนมัติจากภาพถ่ายทางการแพทย์มีบทบาทสำคัญในการช่วยลดภาระงานของรังสีแพทย์ในขั้นตอนการวางแผนรักษามะเร็งตับด้วยวิธีรังสีบำบัด โดยรูปสเปคซีทีมักถูกนำมาใช้เพื่อช่วยระบุส่วนเนื้องอกให้แม่นยำเพื่อให้การวางแผนการรักษามีประสิทธิภาพ อย่างไรก็ตาม การแบ่งส่วนเนื้องอกจากภาพเหล่านี้เป็นเรื่องท้าทายเนื่องจากปัญหาต่างๆ เช่น การกระจายแสงที่ผิดปกติ ทำให้ขนาดเนื้องอกดูใหญ่กว่าความเป็นจริงและลดความแม่นยำในการแบ่งส่วน งานวิจัยฉบับนี้ได้นำเสนอโครงข่ายคัดกรองหลายระดับแบบคู่ (Paired Multiscale Attention Network) ซึ่งเป็นสถาปัตยกรรมที่แบ่งออกเป็นสองทาง เส้นทางแรกฝึกฝนชุดข้อมูลสเปคซีทีโดยใช้โครงข่าย Multiscale Attention Network (MA-Net) เส้นทางที่สองมีการใช้การแปลงแบบไวซ์ท็อปแฮท (White Top-Hat) แล้วนำลักษณะเด่นที่ได้มาควบรวมกับเส้นทางแรก ช่วยลดความบกพร่องของการแบ่งส่วนที่มักเกิดจากความแปรปรวนของแสง ในงานวิจัยนี้จะแบ่งการทดสอบเป็นสองส่วน ส่วนแรกคือการทดสอบโมเดลแบ่งส่วนเนื้อตับ โดยใช้ MA-Net โดยมีโมเดลย่อยคือ ResNet50 ฝึกกับชุดข้อมูลซีทีโดยรวมระหว่างชุดข้อมูลสาธารณะ 3DIRCADb-01 และชุดข้อมูลจากโรงพยาบาลจุฬาลงกรณ์ สภากาชาดไทย โดยมีค่า Dice similarity coefficient (DSC) อยู่ที่ 89.67% ในส่วนการทดสอบโมเดลแบ่งส่วนเนื้องอกตับ จะใช้โครงข่ายคัดกรองหลายระดับแบบคู่ ฝึกด้วยชุดข้อมูล เทคนีเซียม-99 เอ็มเอเอ สเปคซีทีจากโรงพยาบาลจุฬาลงกรณ์ สภากาชาดไทยโดยมีค่า DSC ที่ 67.00% ซึ่งให้ประสิทธิภาพการแบ่งส่วนที่ดีที่สุดเมื่อเทียบกับสถาปัตยกรรมอื่นๆ รวมถึงผลจากงานวิจัยก่อนหน้านี้ที่ทดสอบด้วยชุดข้อมูลเดียวกัน

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Assessing Past Airworthiness Directives And How Safety Management Systems May Benefit Aviation Product Design And Manufacturing, Damon Lercel, Manoj Patankar, Richard Steckel Jan 2024

Assessing Past Airworthiness Directives And How Safety Management Systems May Benefit Aviation Product Design And Manufacturing, Damon Lercel, Manoj Patankar, Richard Steckel

Journal of Aviation/Aerospace Education & Research

The European Union Aviation Safety Agency (EASA) continues to promulgate Safety Management Systems (SMS) across aviation organizations when it recently issued SMS requirements for EASA certificated Part 145 maintenance, repair and overhaul (MRO) organizations and Part 21 Design & Manufacturing (D&M) organizations. Currently, the Federal Aviation Administration (FAA) has no such rule in place for these U.S.-based organizations, which may challenge those doing business in countries where EASA policies apply. Given that a majority of the United States’ D&M and MRO population is made up of smaller organizations, it is likely a U.S. SMS regulation will require justification of the …

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History’S Slowest Digital Transformation: The Long Road To Flight Data Monitoring, Michael Ott Jan 2024

History’S Slowest Digital Transformation: The Long Road To Flight Data Monitoring, Michael Ott

Journal of Aviation/Aerospace Education & Research

Flight data monitoring (FDM) began in the flight test community in 1939 and entered the airline industry in 1974. In the 48 years since, however, very few operators have chosen to adopt this practice, which has shown clear safety benefits where it has found acceptance. While technical issues have created some obstacles, cultural issues have proven the greatest hindrance to wider FDM adoption. These cultural issues originated in the traits associated with pilots’ personalities, especially distrust of the regulators and operators who would administer flight data analysis programs (FDAP) that used FDM information. U.S. regulators have relied on voluntary adoption, …

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Interpersonal Skills In A Sociotechnical System: A Training Gap In Flight Decks, Kimberly Perkins, Sourojit Ghosh, Crystal Hall Jan 2024

Interpersonal Skills In A Sociotechnical System: A Training Gap In Flight Decks, Kimberly Perkins, Sourojit Ghosh, Crystal Hall

Journal of Aviation/Aerospace Education & Research

This research analyzed the perceptions of interpersonal skills on established aviation safety models, Crew Resource Management (CRM), and Threat and Error Management (TEM) using feedback from industry pilots. The flight deck is a sociotechnical system where much research has focused on the technical aspect, whereas we spotlight its socio aspect. The aviation industry must invest in training pilots on interpersonal skills to enhance safety through increased efficacy of safety models integrated throughout existing training programs. A 34-question survey was disseminated across both commercial and business aviation pilots (N=822). We explored three research questions regarding pilots’ perceived training on interpersonal skills …

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Review Of Vr Technical Specification Requirements For A Procedural Training Task, Stephanie G. Fussell Jan 2024

Review Of Vr Technical Specification Requirements For A Procedural Training Task, Stephanie G. Fussell

Journal of Aviation/Aerospace Education & Research

Many aviation education and training programs are expanding their learning materials to include virtual learning environments (VLEs) that utilize virtual reality (VR) technology. While developing training materials and the VLE, an understanding of technical specification requirements is needed to inform stakeholders who need to choose a headset for a given training scenario. As part of a larger initiative to compare the usability of multiple VR headsets for implementation into procedural training, a review of the extant literature was conducted to identify technical specifications of VR head-mounted displays, followed by a pilot test of a head-mounted display (HMD) comparison methodology that …

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Human-Ai Teams In Aviation: Considerations From Human Factors And Team Science, Jenna Korentsides, Joseph R. Keebler, Crystal M. Fausett, Sabina M. Patel, Elizabeth H. Lazzara Jan 2024

Human-Ai Teams In Aviation: Considerations From Human Factors And Team Science, Jenna Korentsides, Joseph R. Keebler, Crystal M. Fausett, Sabina M. Patel, Elizabeth H. Lazzara

Journal of Aviation/Aerospace Education & Research

Artificial Intelligence (AI) has transformed the way human-computer interaction (HCI) teams can collaborate and coordinate in various domains, including aviation and crew resource management (CRM). AI's transformative capabilities enhance teamwork, efficiency, and safety, particularly in risk management. AI's ability to process vast amounts of data and provide real-time insights enables informed decision-making and automation of repetitive tasks in aviation. By combining the strengths of AI and humans, outlined in our modified version of the ‘HABA-MABA’ framework, a dynamic teamwork relationship emerges, provided roles are successfully allocated. AI systems are able to act as intelligent assistants, offering timely recommendations, fostering effective …

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02.19.2024 Orsp Connect, Liz Williamson Jan 2024

02.19.2024 Orsp Connect, Liz Williamson

ORED Newsletter

UM Library Training for Researchers, Kendra Sampey spotlight, School of Pharmacy's Research Day, MS Aerospace and Defense Symposium on March 29

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Dental Students’ Psychological Stress: A Comprehensive Investigation Of Stress Inducing Factors At Mohammed Vi University Of Sciences And Health, Latifa El Mouden, Elmehdi Fettach Jan 2024

Dental Students’ Psychological Stress: A Comprehensive Investigation Of Stress Inducing Factors At Mohammed Vi University Of Sciences And Health, Latifa El Mouden, Elmehdi Fettach

Health Sciences

Dental students are significantly confronted with mental health problems. We conducted a prospective recruitment of students at the Faculty of Dentistry of the Mohammed VI University of Sciences and Health to investigate the determinants of stress specific to this population in order to find solutions to improve their quality of life. In our study, 410 students responded to the survey, the average age of the students was 21.51 ± 2.102 years, 70% were female, 30% were in their 6th year, and 60% of the students were from Casablanca. The average MSP-25B score was 101.94 ± 33.035. In our study, there …

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1d Granular Chains Of Closed-Cell Pvc Foams Under Low And Medium Velocity Impacts, Vikranth Kumar Reddy Madhirala Jan 2024

1d Granular Chains Of Closed-Cell Pvc Foams Under Low And Medium Velocity Impacts, Vikranth Kumar Reddy Madhirala

Open Access Dissertations

Chapter 1: This study experimentally analyses the deformation and energy retention behavior often closed-cell PVC foam disks constituting a one-dimensional granular chain subjected to low-velocity impacts. A pressure-driven impactor loads disk chains of two densities, each at 1 and 10 m/s. The deformations of the disks are captured using high-speed cameras, and the chain’s input and output forces are recorded during the impact. Energy retained by the chain and the disks is calculated using the deformations of the disks, input, output, and contact forces. The results show that the energy retained by the chain of H130 foam is 3 …

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Keynote Address And Meeting Program, Academy Editors Jan 2024

Keynote Address And Meeting Program, Academy Editors

Journal of the Arkansas Academy of Science

No abstract provided.

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Journal Acknowledgements And Editorial Board, Academy Editors Jan 2024

Journal Acknowledgements And Editorial Board, Academy Editors

Journal of the Arkansas Academy of Science

No abstract provided.

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Instructions To Authors, Academy Editors Jan 2024

Instructions To Authors, Academy Editors

Journal of the Arkansas Academy of Science

No abstract provided.

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