Engineering Commons^™

Going Dutch Duplication, Authencity And Reprogrammed Experience, Iris Mach

IntAR Interventions Adaptive Reuse

No abstract provided.

Million Donkey Hotel And Other Memories Of Stone, Michela Bassanelli

IntAR Interventions Adaptive Reuse

No abstract provided.

A Future Of Pilgrimage, Andy Lockyer

IntAR Interventions Adaptive Reuse

No abstract provided.

Alternate Hospitality A New Frontier, Tiziano Aglieri Rinella

IntAR Interventions Adaptive Reuse

No abstract provided.

Bikini Berlin Becoming An Icon Of Post-War Reconstruction, Dionys Ottl

IntAR Interventions Adaptive Reuse

No abstract provided.

More Of Something Else Conjecture One-Thirty (Tu), Jeffry Burchard

IntAR Interventions Adaptive Reuse

No abstract provided.

Postindustrial Spectacle Reconnecting Image And Function, Patrick Ruggiero, Jr.

IntAR Interventions Adaptive Reuse

No abstract provided.

Cathedrals Of Consumerism Experiencing Corporate Interiors And Brands, Sylvia Leydecker

IntAR Interventions Adaptive Reuse

No abstract provided.

A Visual History Of Dining A Timeline, Eli Feldman

IntAR Interventions Adaptive Reuse

No abstract provided.

The Changing Roles Retail In The Experience Economy, Ann Petermans, Bie Plevoets, Koenraad Van Cleemopoel

IntAR Interventions Adaptive Reuse

No abstract provided.

Approximations To A Working Space Around But Not Inside El Museo De Los Sures, Laura F. Gibellini

IntAR Interventions Adaptive Reuse

No abstract provided.

New Pasts, Old Experiences The Spectacle Of Authenticity At Cairo's Museum Of Agriculture, Samaa Elimam

IntAR Interventions Adaptive Reuse

No abstract provided.

Review On 11 Years Of Implementation Of Strategic Priority Program (Spp) On Space Science And Its Prospect, Ji Wu, Chi Wang, Quanlin Fan

Bulletin of Chinese Academy of Sciences (Chinese Version)

The Strategic Priority Program (SPP) on space science is a series scientific satellites program implemented by Chinese Academy of Science (CAS) since 2011. Since then, it has become the only and systematic space science satellite series of China. The article reviews the major scientific outcomes and technological breakthroughs in its first phase (2011-2016), the ongoing mission developments of its second phase (2017-2024), and the selected mission proposals for future space science program up to 2030. In 2016, President Xi has addressed:"to promote full developments of space science, space technology and space application," where he put space science in the first …

On Index System Of Space Science Strength And Its Enlightenment, Quanlin Fan, Tingting Song, Peng Shi, Haiyan Wei, Xiaoli Chen, Xuezhao Wang, Shijie Guo

Bulletin of Chinese Academy of Sciences (Chinese Version)

Major achievements of space science and technology are important symbols of a country's scientific and technological level and ability. The basic consensus of the aerospace community is that China's space technology has been well-developed, space applications need to be strengthened, and space science is relatively the less-developed. Thus, it is extremely urgent for China to build a strong country in space science and tackle the "bottleneck". Here we elaborate the internal logic among the strength of S&T, aerospace, and space science, expound the connotation of space science strength, investigate the index system, and suggest the three-tier system scientifically for the …

Thoughts On Space Science Development, Yidong Gu

Bulletin of Chinese Academy of Sciences (Chinese Version)

Space science is a large-scale activity by using space vehicles to explore the universe and natural laws and carry out special experiments, which has made great contributions to the development of contemporary science. This paper outlines the major breakthroughs in international space science, analyzes the context and new trends of space science and manned exploration activities, reviews the development achievements of space science in China in the past 20 years, puts forward existing problems and gaps, and emphasizes the strategic position of space science and its importance to China's science and technology, aerospace and the national long-term development. It is …

Prospects Of Global Space Science Breakthroughs And China’S Contributions, Chi Wang

Bulletin of Chinese Academy of Sciences (Chinese Version)

Space science is a frontier interdisciplinary subject that probes the macroscopic and microscopic worlds with spacecraft as a platform. Since the 1960s, many Nobel Prize-level discoveries and original achievements have been spawned in related basic science, breaking through the boundaries of human cognition of the nature, and expanding the human knowledge graph continuously. In the 21st century, with a new round of scientific and technological revolution brewing, space science has also entered a new era of revolutionary advancements. Here we review the major progress in global space science in the past ten years, as well as the trend of space …

Connecting The Last Mile To Speed Up Space Science Development Of China—Review And Prospect Of The Funding Practices For Space Science By Nsfc, Zengqian Hou, Yupeng Yao, Guoxuan Dong, Sheng Yu

Bulletin of Chinese Academy of Sciences (Chinese Version)

Strengthening the basic scientific research in an all-round way and achieving more breakthroughs from zero to one as soon as possible are the major strategic needs of building a world leading power in science and technology in the new era. As the main channel funding basic research in China, the National Natural Science Foundation of China (NSFC) has always focused on the basic frontiers and major scientific issues in space science, carried out strategic research on the planning of relevant disciplines, sorted out key scientific questions, defined the priority development direction, and provided continuous and stable funding through major, key, …

Automated Identification Of Astronauts On Board The International Space Station: A Case Study In Space Archaeology, Rao Hamza Ali, Amir Kanan Kashefi, Alice C. Gorman, Justin St. P. Walsh, Erik J. Linstead

Art Faculty Articles and Research

We develop and apply a deep learning-based computer vision pipeline to automatically identify crew members in archival photographic imagery taken on-board the International Space Station. Our approach is able to quickly tag thousands of images from public and private photo repositories without human supervision with high degrees of accuracy, including photographs where crew faces are partially obscured. Using the results of our pipeline, we carry out a large-scale network analysis of the crew, using the imagery data to provide novel insights into the social interactions among crew during their missions.

Validated Question Bank For Assessing Pilot Knowledge Of Aviation Weather Appendix: Weather Product Interpretation Questions, Robert Thomas, Cassandra Dommingo, John Kleber, Jackie Mcsorely, Amber Cole, Thomas Guinn, Elizabeth Blickensderfer

General Aviation Weather Display Interpretation

This appendix supplements the Thomas et al. (2022) paper titled “Validated Question Bank for Assessing Pilot Knowledge of Aviation Weather ” which validates a set of weather product interpretation questions that can be used to measure a pilot’s understanding of weather. The assessment consists of 15 weather product interpretation topics which can be administered as a single 65-question survey or, as in the Thomas et al. (2022) study, two assessments of 33 and 32 questions each separated by topic. The set of 65 questions can be found in this appendix along with a table which demonstrates how to separate the …

“But I’M Not An Engineer”… Collaboration Between A Librarian And An Upper Division Project-Based Engineering Program, Rebecca Bates, Robert Sleezer, Heidi J. Southworth

Integrated Engineering Department Publications

Since 2013, a librarian at Minnesota State University, Mankato has collaborated with faculty and students in an upper division project-based engineering program. While having several years of experience in university libraries plus advanced degrees in history, the librarian had a limited background in science, engineering, and technology, and lacked a formal engineering degree. At first glance, this match may appear to be a recipe for failure. Indeed, in those first few years, the librarian’s angst about the missing engineering degree caused many sleepless nights of worry and concern. However, there came a time when the words “but I am not …

The Influence Of Disciplinary Background On Peer Reviewers’ Evaluations Of Engineering Education Journal Manuscripts, Kelsey Watts, Gary Lichtenstein, Karin Jensen, Evan Ko, Rebecca Bates, Lisa Benson

Integrated Engineering Department Publications

This is the first of a series of studies that explore the relationship between disciplinary background and the weighting of various elements of a manuscript in peer reviewers’ determination of publication recommendations. Research questions include: (1) To what extent are tacit criteria for determining quality or value of EER manuscripts influenced by reviewers’ varied disciplinary backgrounds and levels of expertise? and (2) To what extent does mentored peer review professional development influence reviewers’ EER manuscript evaluations? Data were collected from 27 mentors and mentees in a peer review professional development program. Participants reviewed the same two manuscripts, using a form …

The Evacuation Simulation Of Wheelchair Users In A Building Fire: An Initial Dynamic Characterization Of Structural Egress Components, Haley Hostetter

All Theses

People with disabilities are one of the most vulnerable groups involved in building fires. According to the U.S. Fire Administration, in the United States alone, an estimated 700 home fires involve people with physical disabilities each year while over 1700 involve those with mental health disorders. Despite this, the current body of literature shows few studies focused on the evacuation of disabled people. This is a direct result of past and present social injustice on people with disabilities and has resulted in high injury and death rates during fires. To combat this, enrich the literature, and improve their experiences in …

Building A Community Of Mentors In Engineering Education Research Through Peer Review Training, Karin Jensen, Lisa Benson, Kelsey Watts, Gary Lichtenstein, Evan Ko, Rebecca Bates

Integrated Engineering Department Publications

Peer review of scholarship is critical to the advancement of knowledge in a scholarly discipline. Despite this, scholars receive little or no training in effective and constructive peer review. The process of peer review has been routinely criticized in higher education for lack of quality reviews and reviewers, and reviews that are personal and not constructive. As a discipline, engineering education research (EER) benefits from diverse disciplinary backgrounds and perspectives of scholars, and as such relies on peer review of scholarship to generate, interpret, and translate knowledge. Supported by funding through the National Science Foundation, this project is developing, implementing, …

Advances In Energy Hybridization For Resilient Supply: A Sustainable Approach To The Growing World Demand, Haider Al-Rubaye, Joseph D. Smith, Mohammed H.S. Zangana, Prashant Nagapurkar, Yishu Zhou, Gregory M. Gelles

Chemical and Biochemical Engineering Faculty Research & Creative Works

Energy poverty, defined as a lack of access to reliable electricity and reliance on traditional biomass resources for cooking, affects over a billion people daily. The World Health Organization estimates that household air pollution from inefficient stoves causes more premature deaths than malaria, tuberculosis, and HIV/AIDS. Increasing demand for energy has led to dramatic increases in emissions. The need for reliable electricity and limiting emissions drives research on Resilient Hybrid Energy Systems (RHESs), which provide cleaner energy through combining wind, solar, and biomass energy with traditional fossil energy, increasing production efficiency and reliability and reducing generating costs and emissions. Microgrids …

A Quality Systems Economic-Risk Design Theoretical Framework, Abdallah S. Thefeid

Engineering Management & Systems Engineering Theses & Dissertations

Quality systems, including control charts theory and sampling plans, have become essential tools to develop business processes. Since 1928, research has been conducted in developing the economic-risk designs for specific types of control charts or sampling plans. However, there has been no theoretical or applied research attempts to combine these related theories into a synthesized theoretical framework of quality systems economic-risk design. This research proposes to develop a theoretical framework of quality systems economic-risk design from qualitative research synthesis of the economic-risk design of sampling plan models and control charts models. This theoretical framework will be useful in guiding future …

Emotion Detection Using An Ensemble Model Trained With Physiological Signals And Inferred Arousal-Valence States, Matthew Nathanael Gray

Electrical & Computer Engineering Theses & Dissertations

Affective computing is an exciting and transformative field that is gaining in popularity among psychologists, statisticians, and computer scientists. The ability of a machine to infer human emotion and mood, i.e. affective states, has the potential to greatly improve human-machine interaction in our increasingly digital world. In this work, an ensemble model methodology for detecting human emotions across multiple subjects is outlined. The Continuously Annotated Signals of Emotion (CASE) dataset, which is a dataset of physiological signals labeled with discrete emotions from video stimuli as well as subject-reported continuous emotions, arousal and valence, from the circumplex model, is used for …

Park Equity Modeling: A Case Study Of Asheville, North Carolina, Anisa Young

All Theses

Parks and greenspaces are publicly available entities that serve the vital purpose of promoting multiple aspects of human welfare. Unfortunately, the existence of park disparities is commonplace within the park setting. Specifically, marginalized individuals encounter limited park access, insufficient amenity provision, and poor maintenance. To remedy these disparities, we propose a process in which we select candidate park facilities and utilize facility location models to determine the optimal primary parks from both existing and candidate sites.

We note that platforms currently exist to identify the geographical areas where residents lack sufficient access to parks. However, these platforms do not yet …

Development Of Balanced Mix Design Quality Control Specifications Based On The Acceptance Limits Of Hma Performance Tests, Lucas Tameirao Abrantes

Open Access Theses & Dissertations

With the augmented use of recycled materials, recycling agents, modified binders, andwarm mix asphalt additives, several highway agencies including the Texas Department of Transportation (TxDOT), have considered methods to improve the durability and long-term performance of asphalt concrete (AC) mixes. The need for performance tests that could consistently evaluate the rutting and cracking potentials of AC mixes became crucial as the popularity of the Balanced Mix Design (BMD) concept has increased over the years. A concern now is related to the practicality of these tests for routine use in the process of quality control and quality assurance during the field …

Full Disclosure: Model Uncertainty In Adjusting For Confounders, Dieudonne Dusenge

Graduate Theses and Dissertations

This study examines the role of knowledge about underlying causal relationships in classifying controls in order to mitigate omitted- and included-variable biases. Using simulations and accounting examples, the study shows that the researcher may not distinguish good and bad controls because the underlying causal relationships are unobservable, and remedying strategies (such as the relative timing of measurement) may not remove the uncertainty in the classification. Because of the uncertainty about which controls to use, two or more models will be credible as will the distinct estimates derived from them. Next, the study shows that the current standard practice of singling …

Deep Learning Applications In Industrial And Systems Engineering, Winthrop Harvey

Graduate Theses and Dissertations

Deep learning - the use of large neural networks to perform machine learning - has transformed the world. As the capabilities of deep models continue to grow, deep learning is becoming an increasingly valuable and practical tool for industrial engineering. With its wide applicability, deep learning can be turned to many industrial engineering tasks, including optimization, heuristic search, and functional approximation. In this dissertation, the major concepts and paradigms of deep learning are reviewed, and three industrial engineering projects applying these methods are described. The first applies a deep convolutional network to the task of absolute aerial geolocalization - the …