Digital Commons Network^™

Benchmarking Unmanned Aerial Systems-Assisted Inspection Of Steel Bridges For Fatigue Cracks, Sattar Dorafshan, Leslie E. Campbell, Marc Maguire, Robert J. Connor

Civil Engineering Faculty Publications

Inspection agencies have been increasingly implementing Unmanned Aerial Systems (UAS) for bridge inspections. Currently, UAS are typically used for long-range monitoring and surveillance tasks, but bridge managers are hopeful that they may be utilized for detailed inspection, such as condition assessments and the inspection of fracture critical members (FCM) in the near future. As an assistive tool for visual inspections, the accuracy of UAS-assisted inspections is unknown. This study investigates the relationship between the characteristics of the individual inspectors and a set of performance metrics associated with UAS-assisted FCM inspections. Four bridge inspectors used a UAS to inspect a series …

Which Variables Should I Log?, Zhongxin Liu, Xin Xia, David Lo, Zhenchang Xing, Ahmed E. Hassan, Shanping Li

Research Collection School Of Computing and Information Systems

Developers usually depend on inserting logging statements into the source code to collect system runtime information. Such logged information is valuable for software maintenance. A logging statement usually prints one or more variables to record vital system status. However, due to the lack of rigorous logging guidance and the requirement of domain-specific knowledge, it is not easy for developers to make proper decisions about which variables to log. To address this need, in this work, we propose an approach to recommend logging variables for developers during development by learning from existing logging statements. Different from other prediction tasks in software …

Artificial Intelligence And Work: Two Perspectives, Steven Miller, Thomas H. Davenport

Research Collection School Of Computing and Information Systems

One of the most important issues in contemporary societies is the impact of intelligent technologies on human work. For an empirical perspective on the issue, we recently completed 30 case studies of people collaborating with AI-enabled smart machines. Twenty-four were from North America, mostly in the US. Six were from Southeast Asia, mostly in Singapore. We compare some of our observations to one of the broadest academic examinations of the issue. In particular, we focus on our case study observations with regard to key findings from the MIT Task Force on the Work of the Future report.

A Learning And Optimization Framework For Collaborative Urban Delivery Problems With Alliances, Jingfeng Yang, Hoong Chuin Lau

Research Collection School Of Computing and Information Systems

The emergence of e-Commerce imposes a tremendous strain on urban logistics which in turn raises concerns on environmental sustainability if not performed efficiently. While large logistics service providers (LSPs) can perform fulfillment sustainably as they operate extensive logistic networks, last-mile logistics are typically performed by small LSPs who need to form alliances to reduce delivery costs and improve efficiency, and to compete with large players. In this paper, we consider a multi-alliance multi-depot pickup and delivery problem with time windows (MAD-PDPTW) and formulate it as a mixed-integer programming (MIP) model. To cope with large-scale problem instances, we propose a two-stage …

The Virtual Law School, 2.0, A. Michael Froomkin

Journal of Legal Education

No abstract provided.

Towards Cnl-Based Verbalization Of Computational Contracts, Inari Listenmaa, Maryam Hanafiah, Regina Cheong, Andreas Kallberg

Centre for Computational Law (2022-2025)

We present a CNL, which is a component of L4, a domain-specific programming language for drafting laws and contracts. Along with formal verification, L4’s core functionalities include natural language generation. We present the NLG pipeline and an interactive process for ambiguity resolution.

The Power Of Presence In Socratic Teaching: The Effect Of Substituting Videoconferencing For In-Person Classes, William S. Blatt

Journal of Legal Education

No abstract provided.

Permeafor Testing Of Granular Soils, Alex Lefebvre

Master's Theses and Capstones

There are currently several in situ and laboratory methods of determining hydraulic conductivity of soils, however, it remains a difficult parameter to obtain accurately and economically. Current laboratory tests are performed on soil specimens that are disturbed by the sampling process and only represent a portion of the overall site. Some in situ testing methods are also available such as the pump test but are expensive and provide an average value of conductivity for the site. As a result of this averaging, critical zones of high or low hydraulic conductivity in the profile could be missed and represented by a …

The Politics Of Bar Admission: Lessons From The Pandemic, Leslie C. Levin

Hofstra Law Review

The controversy over how and whether to administer the July 2020 bar examination during the COVID-19 pandemic upended the usual process of lawyer regulation. New actors—including bar applicants—very publicly challenged regulators’ decisions and questioned the safety and fairness of plans for the bar exam. Some advocated for emergency admission without the need to satisfy the bar examination requirement. Joined by law school deans and faculty, the advocacy occurred against the backdrop of the politicization of COVID-19, street protests over police misconduct and racial inequality, and long-standing skepticism about the value and fairness of the bar exam. Regulators throughout the United …

Equilibrium Without Statics: The Modern Muller Breslau Method, Claire Tyler Ballard

Architectural Engineering

This senior project report discusses the applications of the Modern Muller-Breslau Method. To complete this project, the student learned this method and created unique example problems. The report explores these unique example problems with explanations of the processes to solve each problem. The examples shown consist of determinant beams, frames, trusses, and 3-hinged arches. In addition, a more complex structural analysis topic, plastic analysis, will be explained. Lastly, the report concludes with an insight into a student’s experience with the method.

Low–High Orthoimage Pairs-Based 3d Reconstruction For Elevation Determination Using Drone, Yuhan Jiang, Yong Bai

Civil and Environmental Engineering Faculty Research and Publications

This paper presents a 3D reconstruction method for fast elevation determination on construction sites. The proposed method is intended to automatically and accurately determine construction site elevations using drone-based, low–high orthoimage pairs. This method requires fewer images than other methods for covering a large target area of a construction site. An up–forward–down path was designed to capture approximately -scale images at different altitudes over target stations. A pixel grid matching and elevation determination algorithm was developed to automatically match images in dense pixel grid-style via self-adaptive patch feature descriptors, and simultaneously determine elevations based on a virtual elevation model. The …

The Pacifican September 2021, University Of The Pacific

All Issues - Student Newspaper, The Pacifican, Pacific Weekly

No abstract provided.

Deep Features For Training Support Vector Machines, Loris Nanni, Stefano Ghidoni, Sheryl Brahnam

College of Business

Features play a crucial role in computer vision. Initially designed to detect salient elements by means of handcrafted algorithms, features now are often learned using different layers in convo-lutional neural networks (CNNs). This paper develops a generic computer vision system based on features extracted from trained CNNs. Multiple learned features are combined into a single structure to work on different image classification tasks. The proposed system was derived by testing several approaches for extracting features from the inner layers of CNNs and using them as inputs to support vector machines that are then combined by sum rule. Several dimensionality reduction …

The Parthenon, September 1, 2021, Xena Bunton, Isabella Robinson, Abby Hanlon, Catherine Blankenship, Tyler Spence, Carter Truman, Tyler Kennett, Abby Ayes, Noah Hickman

The Parthenon

No abstract provided.

Carbon Dioxide Uptakes By Acetylene By-Products Through Gas–Solid And Gas–Solid–Liquid Reactions, Maisa El Gamal, Ameera Mohammad, Suhaib Hameedi, Hadeel Alzawahreh

All Works

In this work, carbon dioxide uptake value by acetylene by-products was evaluated through two types of carbonation reactions. In the first reaction, solid acetylene by-products were reacted with a simulated effluent CO2 gas (10% CO2 and 90% air) and the maximum uptake value of carbon dioxide per unit mass of reacted solids was calculated. In the second reaction, the mixed solid acetylene by-product with distilled water at a specific mass to volume ratio was reacted with the same effluent CO2 gas to compare the maximum CO2 uptake value with the first reaction. It was found that a superior CO2 uptake …

Effects Of Copper Oxide (Cuo) And Zinc Oxide (Zno) Nano And Bulk Forms To Soil Fungal Community [Research Note], Jonathan Jaime Guerrero, Teresita Dalisay, Nolissa Organo, Ireneo Pangga

The Philippine Agricultural Scientist

The effects of copper oxide (CuO) and zinc oxide (ZnO) in bulk and nano forms on soil fungal community was determined. Lipa clay loam soil collected from the University of the Philippines Los Baños were placed in polypropylene bags and amended with 300 mg/L of CuO or ZnO in either forms. Colony-forming units (CFU) as well as average well color development (AWCD), functional richness and stress index were determined on day 1, 8 and 15 via indirect viable plate count method and community – level physiological profiling (CLPP). Fungal isolates from the same soil samples were likewise identified and tested …

Drift Reduction By Orienting Boom Sprayers’ Nozzles Against The Wind Direction, Medet Itmeç, Ali Bayat, Ömer Barış Özlüoymak

The Philippine Agricultural Scientist

Wind drift is a very critical issue in pesticide applications. In recent experiments, the application of pesticides is focus on precision farming. In this study, a spraying system that could manipulate trajectories of droplets to decrease drift was tested in a wind tunnel. Three nozzles (XR11002, AIXR11002 and TTJ6011002) were used at three operating pressures (200 kPa, 300 kPa, 400 kPa), with four orientation angles of nozzles against wind direction (0°, 5°, 10°, 15°), and three wind velocities (1.5, 2, and 2.5 m s^-1) with three repetitions. A statistical factorial CRD was used with Tukey Post Hoc Test …

Introduction To Prefabrication And Automation In Construction, Luciana Debs, Jiansong Zhang, Yunfeng Chen

Bowen School of Construction Open Educational Resources

New developments and recent advances in construction methods have the potential to change the future of the architecture, engineering and construction industry. Prefabrication, along with modular construction, provides a safe and controlled environment for the production of building construction elements and raises the need for improved collaboration and coordination from design to manufacturing and from transportation to final assembly. Prefabrication also provides relief from the skilled construction labor shortage while opening up new opportunities for mass customization within the building industry. Prefabrication and modular construction automation are emerging expansion routes for the construction industry. In addition, integral to developing the …

Testing And Characterization Of Polymer Laminates For Swelling, Absorption, And Cracking, Matthew W. Carlson

Master's Theses

A polymer laminate consisting of multiple layers of proprietary blends of Ethylene Vinyl Alcohol (EVOH) and Thermoplastic Polyurethane (TPU) and used in the construction of air bladders was evaluated for hygroscopic effects driving delamination and multiple layer fragmentation. These air bladders are observed to suffer delamination during a manufacturing process that involves immersion in an alcohol/water solution. A plausible underlying mechanism is differential swelling and absorption by the laminate constituents. Both room and elevated temperature swelling tests were carried out to find the absorption and swelling coefficients of the constituents. These coefficients served as input into a Finite Element Analysis …

Laboratory Capabilities, University Of North Dakota. Energy And Environmental Research Center

EERC Brochures and Fact Sheets

Fact sheet about the Energy & Environmental Research Center’s laboratory capabilities including reservoir characterization, organic geochemistry, fluid sampling, and material analysis. A list of publications and laboratory information is also included.

Profile Of Problem-Solving Ability Of High School Students With Different Class Classifications On Light Wave Learning, Ahmad Nasich Luthfi, Edi Supriana, Supriyono Koes Handayanto

Jurnal Pendidikan Sains

This study aimed to compare the problem-solving abilities of high school students with different class classifications in learning about light waves. The research employed a survey method involving 123 eleventh-grade high school students in the Mojokerto area. The instrument used consisted of six questions designed to measure students’ problem-solving abilities related to light waves. Students’ approaches to solving the problems were categorized into five types: scientific approach, structured plug-and-chug approach, unstructured plug-and-chug approach, memory-based approach, and no clear approach. The results showed that most students used structured and unstructured plug-and-chug approaches as well as memory-based approaches. This indicates that the …

Improving Students' Scientific Argumentation Ability Through Argument-Driven Inquiry Learning Accompanied By Procedural E-Scaffolding, Husen Jauwad, Supriyono Koes Handayanto, Markus Diantoro

Jurnal Pendidikan Sains

Scientific argumentation is a communication skill that needs to be enhanced in the 21st century. Research on scientific argumentation using Argument-Driven Inquiry (ADI) learning accompanied by procedural e-scaffolding is still limited. This article reports the results of a study that combined Argument-Driven Inquiry learning with procedural e-scaffolding. This research was conducted in three classes divided into the ADI-ES class, ADI class, and control class. The learning process was conducted online, and data were collected using Google Forms. Furthermore, the data were analyzed using ANOVA and post hoc tests. The results showed that there were differences in students’ scientific argumentation abilities …

Does Bert Understand Idioms? A Probing-Based Empirical Study Of Bert Encodings Of Idioms, Minghuan Tan, Jing Jiang

Research Collection School Of Computing and Information Systems

Understanding idioms is important in NLP. In this paper, we study to what extent pre-trained BERT model can encode the meaning of a potentially idiomatic expression (PIE) in a certain context. We make use of a few existing datasets and perform two probing tasks: PIE usage classification and idiom paraphrase identification. Our experiment results suggest that BERT indeed can separate the literal and idiomatic usages of a PIE with high accuracy. It is also able to encode the idiomatic meaning of a PIE to some extent.

Semi-Supervised Semantic Visualization For Networked Documents, Delvin Ce Zhang, Hady W. Lauw

Research Collection School Of Computing and Information Systems

Semantic interpretability and visual expressivity are important objectives in exploratory analysis of text. On the one hand, while some documents may have explicit categories, we could develop a better understanding of a corpus by studying its finer-grained structures, which may be latent. By inferring latent topics and discovering keywords associated with each topic, one obtains a semantic interpretation of the corpus. One the other hand, by visualizing documents, latent topics, and category labels on the same plot, one gains a bird’s eye view of the relationships among documents, topics, and various categories. Semantic visualization is a class of methods that …

Comparative Evaluation Of Two Glass Polyalkenoate Cements: An In Vivo Pilot Study Using A Sheep Model, Leyla Hasandoost, Daniella Marx, Paul Zalzal, Oleg Safir, Mark Hurtig, Cina Mehrvar, Stephen D. Waldman, Marcello Papini, Mark R. Towler

Chemical and Biochemical Engineering Faculty Research & Creative Works

Poly(methyl methacrylate) (PMMA) is used to manage bone loss in revision total knee arthroplasty (rTKA). However, the application of PMMA has been associated with complications such as volumetric shrinkage, necrosis, wear debris, and loosening. Glass polyalkenoate cements (GPCs) have potential bone cementation applications. Unlike PMMA, GPC does not undergo volumetric shrinkage, adheres chemically to bone, and does not undergo an exothermic setting reaction. In this study, two different compositions of GPCs (GPCA and GPCB), based on the patented glass system SiO₂-CaO-SrO-P₂O₅-Ta₂O₅, were investigated. Working and setting times, pH, ion release, …

Graphene Transistor-Based Printable Electronics For Wearable Biosensing Applications, Kaitlyn Laliberte

Master's Theses and Capstones

Graphene field-effect transistor (GFET) is becoming an increasingly popular biosensing platform for monitoring health conditions through biomarker detection. Moreover, the graphene’s 2-dimensional geometry makes it ideal for implementing flexible or wearable electronic devices. By using a GFET platform as a biosensor, users can easily monitor numerous health conditions. A sweat-based biosensor can non-invasively monitor levels of proteins in the body and alert the user to possible issues such as a steep increase or decrease in a particular protein. By creating a platform that can be used as a wearable biosensor, it allows for rapid results and a cheaper way to …

Exploiting Group Structures To Infer Social Interactions From Videos, Maksim Bolonkin

Dartmouth College Ph.D Dissertations

In this thesis, we consider the task of inferring the social interactions between humans by analyzing multi-modal data. Specifically, we attempt to solve some of the problems in interaction analysis, such as long-term deception detection, political deception detection, and impression prediction. In this work, we emphasize the importance of using knowledge about the group structure of the analyzed interactions. Previous works on the matter mostly neglected this aspect and analyzed a single subject at a time. Using the new Resistance dataset, collected by our collaborators, we approach the problem of long-term deception detection by designing a class of histogram-based features …

Universal Access To Clean Water For Tribes In The Colorado River Basin, Heather Tanana, Jaime Garcia, Ana Olaya, Chelsea Colwyn, Hanna Larsen, Ryan Williams, Jonathan King

Utah Law Faculty Scholarship

The coronavirus pandemic has tragically highlighted the vast and long standing inequities facing Tribal communities, including disparities in water access. According to the Centers for Disease Control and Prevention (CDC), American Indians and Alaska Natives (AI/AN) are at least 3.5 times more likely than white persons to contract COVID-19. Limited access to running water is one of the main factors contributing to this elevated rate of incidence.

This report describes current conditions among Tribes in the Colorado River Basin. It outlines the four main challenges in drinking water access: (1) Native American households are more likely to lack piped water …

Efficient Killing Of Tumor Cells By Car-T Cells Requires Greater Number Of Engaged Cars Than Tcrs, Nadia Anikeeva, Sergey Panteleev, Nicholas W Mazzanti, Mizue Terai, Takami Sato, Yuri Sykulev

Department of Microbiology and Immunology Faculty Papers

Although CAR-T cells are widely used to treat cancer, efficiency of CAR-T cell cytolytic responses has not been carefully examined. We engineered CAR specific for HMW-MAA (highmolecular- weight melanoma-associated antigen) and evaluated potency of CD8+ CAR-T cells to release cytolytic granules and to kill tissue-derived melanoma cells, which express different levels of HMW-MAA. CAR-T cells efficiently killed melanoma cells expressing high level of HMW-MAA, but not melanoma cells with lower levels of HMW-MAA. The same melanoma cells presenting significantly lower level of stimulatory peptide- MHC ligand were readily lysed by T cells transduced with genes encoding α,β-TCR specific for the …

What Will The Tower Research Capital Ii Ruling Mean For Cftc Enforcement Actions Against Non-U.S. Firms?, Ronald Filler

Articles & Chapters

No abstract provided.