Digital Commons Network^™

Teamwork Optimization Based Dtc For Enhanced Performance Of Im Based Electric Vehicle, Anjan Kumar Sahoo, Ranjan Kumar Jena

Turkish Journal of Electrical Engineering and Computer Sciences

The tailpipe emissions caused by vehicles using internal combustion engines are a significant source of air pollution. To reduce the health hazards caused by air pollution, advanced countries are now adopting the use of electric vehicles (EVs). Due to the advancement of electric vehicles, research and development efforts are being made to improve the performance of EV motors. With a nominal reference stator flux, the classical induction motor drive generates significant flux, torque ripple, and current harmonics. In this work, a teamwork optimization algorithm (TOA)-based optimal stator flux strategy is suggested for torque ripple reduction applied in a classical direct …

A Multistep Fusion Matcher Approach For Large Scale Latent Fingerprint/Palmprint Recognition, İsmai̇l Kilinç, Yusuf Oğuzhan Artan, Emre Başeski̇

Turkish Journal of Electrical Engineering and Computer Sciences

Latent fingerprints are ubiquitously used as forensic evidence by law enforcement agencies in solving crimes. However, due to deformations and artifacts within latent fingerprint images, performance of the automated latent recognition systems are far from desired levels. A basic matcher specifically designed for clean fingerprints using a minutiae-based matching algorithm can have high speed and accuracy in a sensor-to-sensor matching task, but low accuracy in matching latent prints, due to scale, rotation and quality differences between latent and sensor images. In this study, we propose a unique multistep fusion matcher (FM) on top of a base matcher that would utilize …

Study Of Helical Antenna Endowing Short Wire Length And Compact Structure For High-Frequency Operations And Its Exclusive Manufacturing Process, Meli̇h Aslan, Kaan Şik, İzzet Güzelkara, İbrahi̇m Tuna Özdür, Veli̇ Tayfun Kiliç

Turkish Journal of Electrical Engineering and Computer Sciences

In this paper a study of a helical antenna resonating at high-frequency (HF) band with a very compact structure is reported. The designed antenna's S11 parameter magnitude change with frequency was calculated for different geometrical parameters. For each case, first, only a single parameter was changed. Then for a fair comparison, multiple parameters were changed simultaneously while the total wire length was set to be constant. Also, shifts in resonance frequencies and variations in -10 dB bandwidths were investigated. Our results show that resonance behaviour changes distinctively with the geometrical parameters and it allows shortening of the antenna wire length. …

Solving Turkish Math Word Problems By Sequence-To-Sequence Encoder-Decoder Models, Esi̇n Gedi̇k, Tunga Güngör

Turkish Journal of Electrical Engineering and Computer Sciences

Solving math word problems (MWP) is a challenging task due to the semantic gap between natural language texts and mathematical equations. The main purpose of the task is to take a written math problem as input and produce a proper equation as output for solving that problem. This paper describes a sequence-to-sequence (seq2seq) neural model for automatically solving Turkish MWPs based on their semantic meanings in the text. It comprises a bidirectional encoder to comprehend the semantics of the problem by encoding the input sequence and a decoder with attention to extract the equation by tracking the semantic meanings of …

Reconstructing Dynamic Human Shapes From Sparse Silhouettes Via Latent Space Optimization Of Parametric Shape Models, Kanika Singla, Parma Nand

Turkish Journal of Electrical Engineering and Computer Sciences

The problem of dynamic 3D reconstruction has gained popularity over the last few years with most approaches relying on data driven learning and optimization methods. However this is quite a challenging task because of the need for tracking different features in both space and time?that too of deformable objects-where such robust tracking may not always be possible. A common way to better ground the problem is by using some forms of regularizations primarily on the shape representations. Over the years, mesh-based linear blend skinning models have been the standard for fitting templates of humans to the observed time series data …

An Exploratory Study On The Effect Of Applying Various Artificial Neural Networks To The Classification Of Lower Limb Injury, Rachel Yun, May Salama, Lamiaa Elrefaei

Turkish Journal of Electrical Engineering and Computer Sciences

This paper explores the application of a deep neural network (DNN) framework to human gait analysis for injury classification. The paper aims to identify whether a subject is healthy or has an injury of the ankle, knee, hip, or heel solely based on ground reaction force plate measurements. We consider how three DNNs-the multi-layer perceptron (MLP), fully convolutional network (FCN), and residual network (ResNet)-can be applied to gait analysis when the number of trainable network parameters far exceeds the number of training samples, and benchmark their performance in this context against that of shallow neural networks. The DNN architectures outperformed …

Spayk: An Environment For Spiking Neural Network Simulation, Aykut Görkem Gelen, Ayten Atasoy

Turkish Journal of Electrical Engineering and Computer Sciences

In research areas such as mobile robotics and computer vision, energy and computational efficiency have become critical. This has greatly increased interest in high-efficiency neuromorphic hardware and spiking neural networks. Because neuromorphic hardware is not yet widely available, spiking neural network studies are conducted by simulations. There are numerous simulators available today, each designed for a specific purpose. In this paper, a novel and open source package (SPAYK) for simulating spiking neural networks is presented. SPAYK has been proposed to speed up spiking neural network research. In the majority of simulators, networks are expressed with differential equations and require advanced …

A Review On Derivative Hedging Using Reinforcement Learning, Peng Liu

Research Collection Lee Kong Chian School Of Business

Hedging is a common trading activity to manage the risk of engaging in transactions that involve derivatives such as options. Perfect and timely hedging, however, is an impossible task in the real market that characterizes discrete-time transactions with costs. Recent years have witnessed reinforcement learning (RL) in formulating optimal hedging strategies. Specifically, different RL algorithms have been applied to learn the optimal offsetting position based on market conditions, offering an automatic risk management solution that proposes optimal hedging strategies while catering to both market dynamics and restrictions. In this article, the author provides a comprehensive review of the use of …

A Systems Perspective On Water Markets: Barriers, Bright Spots, And Building Blocks For The Next Generation, Dustin Garrick, Soumya Balasubramanya, Melissa Beresford, Amber Wutich, Gina G. Gilson, Isabel Jorgensen, Nicholas Brozović, Michael Cox, Xiaoping Dai, Sophie Erfurth, Renata Rimšaitė, Jesper Svensson, Julia Talbot Jones, Hita Unnikrishnan, Charles Wight, Sergio Villamayor-Tomas, Karla Vazquez Mendoza

Faculty Research, Scholarly, and Creative Activity

No abstract provided.

Cooperative Filtering And Parameter Identification For Advection-Diffusion Processes Using A Mobile Sensor Network, Jie You, Ziqiao Zhang, Fumin Zhang, Wencen Wu

Faculty Research, Scholarly, and Creative Activity

This article presents an online parameter identification scheme for advection-diffusion processes using data collected by a mobile sensor network. The advection-diffusion equation is incorporated into the information dynamics associated with the trajectories of the mobile sensors. A constrained cooperative Kalman filter is developed to provide estimates of the field values and gradients along the trajectories of the mobile sensors so that the temporal variations in the field values can be estimated. This leads to a co-design scheme for state estimation and parameter identification for advection-diffusion processes that is different from comparable schemes using sensors installed at fixed spatial locations. Using …

Approval Letter For The Final Butte Priority Soils Operable Unit, 2021 Unreclaimed Sites Sampling Ur-05 Site Evaluation Summary Report (February 7, 2023), Nikia Greene

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

Safe Space: Simple Interventions To Make A More Welcoming Clinic Environment For The Lgbtq+ Community, Brittany Schall, Nimisha Kumar, Salma Al Jamal, Marie M. Forgie, Kari Schmidt Oliver, Nicole Salvo, Kristi Rapp, Kimberly Johnson, Amanda Speck Malmberg, Angela Eifert, Jacquelin Coby-Beaver, Alex Cade-White, Deborah Simpson

Aurora GME

No abstract provided.

Checking The Scales: A Psychometric Evaluation Of The Weight Concerns Scale In A Sample Of College-Aged Cisgender Men From The United States, Kyle M. Brasil, Callie E. Mims, Ryon C. Mcdermott, Mary E. Pritchard

Psychological Sciences Faculty Publications and Presentations

Historically, western societies have considered body image issues to predominantly affect young, White women. While in recent years men’s body image issues have been increasingly highlighted by researchers and the media alike, many instruments currently used to identify clinically significant body image disturbances were developed and validated with samples solely of women and/or girls. One such measure, Killen et al.’s (1994) Weight Concerns Scale (WCS), was initially validated in a sample of adolescent girls. The WCS has yet to be validated in samples of men, despite being used in large national surveys of college men and women (e.g., the Healthy …

March 1, 2023 (Vol. 107, No. 22), Daily Eastern News

Daily Eastern News: 2022-2023

No abstract provided.

A Hot Spit-Take: Why The Supreme Court Will Hold That There Is No Privacy Interest In Commercial Dna Data, Mounir Jamal

IP Theory

No abstract provided.

Spirits In The Clinic: A Case Study, John Holbrook

Journal of Adventist Mission Studies

No abstract provided.

Remembering Paul Johnsgard, Linda R, Brown, Josef Kren

Zea E-Books Collection

Paul A. Johnsgard (1931–2021) was a friend of many, an artist, prolific author, teacher, and humble admirer of all living creatures. It was impossible to find someone at Nebraska Audubon Society or Nebraska Ornithologists’ Union meetings who did not know Paul Johnsgard. His more than 100 published books made him known not just in a community of ornithologists, birdwatchers, and bird lovers in the United States but also abroad. He was a world-renowned ornithologist and naturalist who remained deeply embedded in his local culture and its prairie environment.

We invited about 75 people to write a short memory of Paul. …

Trends In Obesity Prevalence And Cardiometabolic Risk Factor Control In Us Adults With Diabetes, 1999–2020, Gang Hu, Jonathan Ding, Donna H. Ryan

Population and Public Health Science Faculty Publications

Objective: Trends in obesity prevalence and trends in control of cardiometabolic risk factors among National Health and Nutrition Examination Survey participants with diabetes from 1999 through 2020 were analyzed. Methods: Adults who were 20 years or older and who reported having received a diagnosis of diabetes from a physician were included. Results: The prevalence of overall obesity, obesity class II, and obesity class III increased from 46.9%, 14.1%, and 10.3% in 1999 to 2002 to 58.1%, 16.6%, and 14.8% in 2015 to 2020, respectively. The prevalence of participants who achieved glycemic control (HbA1c < 7%) increased from 42.5% in 1999 to 2002 to 51.8% in 2007 to 2010, then decreased to 48.0% in 2015 to 2020. The prevalence of participants who achieved blood pressure control (< 140/90 mmHg) or achieved non-high-density lipoprotein cholesterol control (< 130 mg/dL) increased throughout the study periods. The prevalence of participants who met all three risk factor goals increased from 8.3% in 1999 to 2002 to 21.2% in 2011 to 2014 and then decreased to 18.5 in 2015 to 2020. Participants with obesity showed worsening glycemic control and lipid control than participants with normal weight. Conclusions: There were increasing trends in prevalence of obesity, blood pressure control, and lipid control from 1999 to 2002 to 2015 to 2020. Participants with obesity showed worsening glycemic control and lipid control than normal-weight participants.

Maternal Insulin Resistance And Maternal Β-Cell Function During Pregnancy For Offspring Overweight Before 2 Years Of Age Among Women With Gestational Diabetes, Ming Gao, Hui Wang, Weiqin Li, Leishen Wang, Ninghua Li, Yijuan Qiao, Tao Zhang, Jing Li, Zhijie Yu, Gang Hu, Junhong Leng, Xilin Yang

Population and Public Health Science Faculty Publications

Objective: To explore associations of maternal insulin resistance and β-cell dysfunction with offspring overweight before 24 months of age among children of Chinese women with gestational diabetes mellitus (GDM). Methods: Offspring of women with GDM (n = 901) who were enrolled in a lifestyle trial during pregnancy were followed up to 24 months of age in Tianjin, China. Restricted cubic spline analysis was performed to examine full-range associations of maternal homeostatic model assessment of insulin resistance (HOMA-IR) and β-cell function (HOMA-%β) with childhood overweight. Logistic regression was performed to obtain the odds ratios (ORs) and 95% confidence interval (CI) of …

Atmospheric Density Inversion Based On Swarm-C Satellite Accelerometer, Lirong Yin, Lei Wang, Jiawei Tian, Zhengtong Yin, Mingzhe Liu, Wenfeng Zheng

Faculty Publications

We used the Swarm-C accelerometer data to invert the orbital atmospheric density in this study. First, the Swarm-C satellite mission data were obtained from the ESA’s public data platform, and preliminary data error correction was performed. This paper refers to the calibration method of GRACE-A satellite accelerometer data. It adds linear temperature correction on the original basis. Moreover, this study’s accelerometer data correction results were compared with the data correction results published by the ESA. In order to explore the influence of light radiation on the accelerometer, we established a geometric model of Swarm-C to simulate the physical shape of …

Open Posterior Reduction And Stabilization Of Ao Spine C3 Sacral Fractures, Philipp Kobbe, Gregory D. Schroeder, Klaus J. Schnake, Lorin M. Benneker, Mark Lambrechts, Frank Hildebrand, Richard M. Sellei

Rothman Institute Papers

AO Spine C3 sacral fractures are defined by separation of the spine including S1 from the pelvic ring and are usually result of a high-energy injury. Besides their high biomechanical instability and high rate of associated neurological impairment, these fractures are often extremely difficult to reduce due to severe bony impaction and dislocation. Additional difficulties in management of these fractures arise from only a thin-layer of soft-tissue coverage overlying the injured area.

An Examination Of Collective Memory Of The Tsunami Disaster: A Comparative Study Between Japan And Indonesia, Desideria Cempaka Wijaya Murti, Rustono Farady Marta, Almuntarizi Almuntarizi, Tifani Dianisya Manalu

JURNAL KOMUNIKASI INDONESIA

Japan and Indonesia, as two countries that are geographically vulnerable to tsunami disasters, have similarities in geography and culture. Analyzing disaster museums through the Inamura No Hi Museum in Japan and the Aceh Museum in Indonesia in communication, heritage, and cultural studies were conducted to show how museums' visual framework and experience are used to interpret post-disaster situations. This study aims to see how the Japanese and Indonesian disaster museums, closely related to visuals and local legends, convey information to educate the public about mitigation through the memory of the Tsunami disaster in the museum. This research is a comparative …

Learning And Understanding User Interface Semantics From Heterogeneous Networks With Multimodal And Positional Attributes, Meng Kiat Gary Ang, Ee-Peng Lim

Research Collection School Of Computing and Information Systems

User interfaces (UI) of desktop, web, and mobile applications involve a hierarchy of objects (e.g., applications, screens, view class, and other types of design objects) with multimodal (e.g., textual and visual) and positional (e.g., spatial location, sequence order, and hierarchy level) attributes. We can therefore represent a set of application UIs as a heterogeneous network with multimodal and positional attributes. Such a network not only represents how users understand the visual layout of UIs but also influences how users would interact with applications through these UIs. To model the UI semantics well for different UI annotation, search, and evaluation tasks, …

Accelerating Business Transformation In The Digital Age, Gary Pan, Shankararaman, Venky

Research Collection School Of Accountancy

Business Transformation involves making fundamental changes in how business is conducted in order to help cope with shifts in market environment. This chapter focuses on the role played by digital technology in business transformation and the mindset shifts required to embark on a digital transformation journey. More relevantly, this chapter also highlights how data analytics is driving digital transformation.

Congressional Power, Public Rights, And Non-Article Iii Adjudication, John M. Golden, Thomas H. Lee

Notre Dame Law Review

When can Congress vest in administrative agencies or other non–Article III federal courts the power to adjudicate any of the nine types of “Cases” or “Controversies” listed in Article III of the United States Constitution? The core doctrine holds that Congress may employ non–Article III adjudicators in territorial courts, in military courts, and for decision of matters of public right. Scholars have criticized this so-called “public rights” doctrine as incoherent but have struggled to offer a more cogent answer.

This Article provides a new, overarching explanation of when and why Congress may use non–Article III federal officials to adjudicate matters …

Until Morning, Asher Berard

School of Art, Art History, and Design: Theses and Student Creative Work

Until Morning is an installation-based body of work that is rooted in fantasy through storytelling. It’s focused on a narrative about processing trauma through the self at their various stages of recovery. This exhibition consists of paintings, sculptures, audio, and videos reflecting a world built to regain authorship over unsettling memories that demand closure. The films are performative extensions of self in familiar southern Louisiana landscapes. The viewer shares perspective through the point of view of Memory, the main character depicted with pink hair. The fictional scenes all toy with notions of remembering, forgetting, and coping, while also provoking reactions …

Approval Letter For The Butte Priority Soils Operable Unit (Bpsou) Draft Final 2023 Residential Metals Abatement Program Borrow Amendment Work Plan (Dated January 12, 2023), Nikia Greene

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

Digital Tax Arithmetic., James R. Hines Jr.

Articles

More than 20 countries recently adopted digital services taxes, with many others threatening to do so. The Organisation for Economic Co-operation and Development (OECD) is attempting to convince countries to withdraw their digital taxes in return for an international agreement to implement its Pillar One proposal that would let countries tax prorated shares of the profits of foreign firms with local sales. This paper identifies incentives that countries have to impose inefficiently high rates of digital taxes and calls attention to shortcomings of the OECD’s formulary apportionment alternative. Diverging interests and the inflexible nature of the multilateral bargaining process make …

Is That An Opportunity?: Global Versus Local Processing Of Technological And Socioeconomic Constraints, Eric Shaunn Mattingly, Manju K. Ajuja, Andrew S. Manikas, Trayan N. Kushev

Management Faculty Publications and Presentations

Opportunity beliefs lead entrepreneurs to explore or walk away from opportunities. The dominant process for explaining opportunity beliefs is structural alignment theory’s analogical problem solving of information. Information can be conceptualized according to its structure with some information presented as separate pieces of information (local) and others as aggregated information (global). We conducted an experiment with 116 upper-level managers and engineers, and found that structural and procedural similarities between technologies and socioeconomic conditions of markets drive opportunity beliefs. We found that the constraining effects of technological and socioeconomic differences on opportunity beliefs are contingent on individuals’ global versus local processing.

Autism In The Workplace, Gundars Kaupins

Management Faculty Publications and Presentations

Autism is a lifelong, genetic disorder that creates communication challenges, including social-emotional reciprocity, nonverbal communicative behavior deficits, and relationship struggles; restricted or repetitive behavior patterns and interests; and sensitivity to sensory inputs.1 This disorder presents a range of conditions, known as the autism spectrum, which spans from “low-functioning” individuals, who have significant speech challenges, to “high-functioning” individuals, who can communicate but have other social and behavioral challenges; high-functioning autism has traditionally been called Asperger’s syndrome. This disorder has become more of a mainstream topic, with television shows and movies, such as The Good Doctor and Rainman, depicting characters on …