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Globular Clusters In Coma Cluster Ultra-Diffuse Galaxies (Udgs): Evidence For Two Types Of Udg?, Duncan A. Forbes, Adebusola Alabi, Aaron J. Romanowsky, Jean P. Brodie, Nobuo Arimoto Jan 2020

Globular Clusters In Coma Cluster Ultra-Diffuse Galaxies (Udgs): Evidence For Two Types Of Udg?, Duncan A. Forbes, Adebusola Alabi, Aaron J. Romanowsky, Jean P. Brodie, Nobuo Arimoto

Faculty Research, Scholarly, and Creative Activity

Ultra-diffuse galaxies (UDGs) reveal extreme properties. Here, we compile the largest study to date of 85 globular cluster (GC) systems around UDGs in the Coma cluster, using new deep ground-based imaging of the known UDGs and existing imaging from the Hubble Space Telescope of their GC systems. We find that the richness of GC systems in UDGs generally exceeds that found in normal dwarf galaxies of the same stellar mass. These GC-rich UDGs imply haloes more massive than expected from the standard stellar mass–halo mass relation. The presence of such overly massive haloes presents a significant challenge to the latest …

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Third-Party Effects In Stakeholder Interviews, Melissa Beresford, J. Leah Jones, Julia C. Bausch, Clinton F. Williams, Amber Wutich, Sarah Porter, Barbara Quimby, Weston M. Eaton, Kathryn J. Brasier Jan 2020

Third-Party Effects In Stakeholder Interviews, Melissa Beresford, J. Leah Jones, Julia C. Bausch, Clinton F. Williams, Amber Wutich, Sarah Porter, Barbara Quimby, Weston M. Eaton, Kathryn J. Brasier

Faculty Research, Scholarly, and Creative Activity

This paper examines the effect of having a third-party scientific expert present in stakeholder interviews. The study was conducted as part of a larger project on stakeholder engagement for natural resource management in the Verde Valley region of Arizona. We employed an experimental design, conducting stakeholder interviews both with and without an identified scientific expert present. Our sample consisted of 12 pairs of interviewees (24 total participants) who we matched based on their occupation, sex, and spatial proximity. For each pair, the scientific expert was present as a third party in one interview and absent in the other. We used …

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Sharper Bounds And Structural Results For Minimally Nonlinear 0-1 Matrices, Jesse Geneson, Shen Fu Tsai Jan 2020

Sharper Bounds And Structural Results For Minimally Nonlinear 0-1 Matrices, Jesse Geneson, Shen Fu Tsai

Faculty Research, Scholarly, and Creative Activity

The extremal function ex(n, P) is the maximum possible number of ones in any 0-1 matrix with n rows and n columns that avoids P. A 0-1 matrix P is called minimally nonlinear if ex(n, P) = ω(n) but ex(n, P′) = O(n) for every P′ that is contained in P but not equal to P. Bounds on the number of ones and the number of columns in a minimally non-linear 0-1 matrix with k rows were found in (CrowdMath, 2018). In this paper, we improve the upper bound on the number of ones in a minimally nonlinear 0-1 matrix …

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Tcad-Machine Learning Framework For Device Variation And Operating Temperature Analysis With Experimental Demonstration, Hiu Yung Wong, Ming Xiao, Boyan Wang, Yan Ka Chiu, Xiaodong Yan, Jiahui Ma, Kohei Sasaki, Han Wang, Yuhao Zhang Jan 2020

Tcad-Machine Learning Framework For Device Variation And Operating Temperature Analysis With Experimental Demonstration, Hiu Yung Wong, Ming Xiao, Boyan Wang, Yan Ka Chiu, Xiaodong Yan, Jiahui Ma, Kohei Sasaki, Han Wang, Yuhao Zhang

Faculty Research, Scholarly, and Creative Activity

This work, for the first time, experimentally demonstrates a TCAD-Machine Learning (TCAD-ML) framework to assist the analysis of device-to-device variation and operating (ambient) temperature without the need of physical quantities extraction. The ML algorithm used in this work is the Principal Component Analysis (PCA) followed by third order polynomial regression. After calibrated to limited 'expensive' experimental data, 'low cost' TCAD simulation is used to generate a large amount of device data to train the ML model. The ML was then used to identify the root cause of device variation and operating temperature from any given experimental current-voltage (I-V) characteristics. We …

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Applied Machine Learning In Agro-Manufacturing Occupational Incidents, Fatemeh Davoudi Kakhki, Steven A. Freeman, Gretchen A. Mosher Jan 2020

Applied Machine Learning In Agro-Manufacturing Occupational Incidents, Fatemeh Davoudi Kakhki, Steven A. Freeman, Gretchen A. Mosher

Faculty Research, Scholarly, and Creative Activity

Commercial grain elevators are hazardous agro-manufacturing work environments where workers are prone to serious and life-threatening injuries. The aim of this study is to give insight into safety risks in grain handling facilities through information processing of workers' compensation data on agro-manufacturing occupational incidents within commercial grain elevators in the Midwest region of the United States between 2008 and 2016. The severity of occupational incidents is determined by total dollar amount incurred on medical, indemnity, and other expenses in workers' compensation claims. The most important factors that affect the cost escalation of occupational incidents are extracted using bootstrap partitioning method, …

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The 2018 Camp Fire: Meteorological Analysis Using In Situ Observations And Numerical Simulations, Matthew J. Brewer, Craig B. Clements Jan 2020

The 2018 Camp Fire: Meteorological Analysis Using In Situ Observations And Numerical Simulations, Matthew J. Brewer, Craig B. Clements

Faculty Research, Scholarly, and Creative Activity

The November 2018 Camp Fire quickly became the deadliest and most destructive wildfire in California history. In this case study, we investigate the contribution of meteorological conditions and, in particular, a downslope windstorm that occurred during the 2018 Camp Fire. Dry seasonal conditions prior to ignition led to 100-h fuel moisture contents in the region to reach record low levels. Meteorological observations were primarily made from a number of remote automatic weather stations and a mobile scanning Doppler lidar deployed to the fire on 8 November 2018. Additionally, gridded operational forecast models and high-resolution meteorological simulations were synthesized in the …

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Mitigating Fatigue On The Flight Deck: How Is Controlled Rest Used In Practice?, Cassie J. Hilditch, Lucia Arsintescu, Kevin B. Gregory, Erin E. Flynn-Evans Jan 2020

Mitigating Fatigue On The Flight Deck: How Is Controlled Rest Used In Practice?, Cassie J. Hilditch, Lucia Arsintescu, Kevin B. Gregory, Erin E. Flynn-Evans

Faculty Research, Scholarly, and Creative Activity

Controlled Rest (CR) refers to a short, unscheduled, voluntary nap opportunity taken by pilots on the flight deck as a countermeasure to unanticipated fatigue in flight. This study explores the profile of CR use in a long-haul commercial airline. Forty-four pilots wore actiwatches and filled in an application-based sleep/work diary for approximately 2 weeks resulting in complete records from 239 flights. Timing of sleep periods and flight schedules were analyzed relative to home-base time. Pearson correlations were used to assess the influence of pilot demographics on CR use. A mixed-effects logistic regression was used to analyze the impact of schedule …

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Price And Performance Trends For Cellular Trail Cameras Explained With A Time Trend, Google Keyword Trends, And A Use Case Of Suburban Deer Management, G. Webb Jan 2020

Price And Performance Trends For Cellular Trail Cameras Explained With A Time Trend, Google Keyword Trends, And A Use Case Of Suburban Deer Management, G. Webb

Faculty Research, Scholarly, and Creative Activity

Price and performance improvements for trail cameras, remote cameras designed for wildlife observation, havegiven wildlife researchers a widely accepted new tool. After their introduction in 2010, cellular trail cameras havebecome popular, saving travel time and reducing disturbance to wildlife. A use case of trail cameras for suburbandeer management illustrates desirable product features and risks of using citizen science for research. A time trendof camera prices identifies a common product price pattern for technology products, a decline following a logisticor inverted s-curve. Data from Google Keyword Trends captures the changing level of market interest correlatedwith high statistical significance compared to price …

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Countering Deficit Thinking About Neurodiversity Among General Education Teacher Candidates: A Case Discussion Approach, Grinell Smith, Colette Rabin Jan 2020

Countering Deficit Thinking About Neurodiversity Among General Education Teacher Candidates: A Case Discussion Approach, Grinell Smith, Colette Rabin

Faculty Research, Scholarly, and Creative Activity

We have observed that many of the multiple-subjects teacher credential candidates in our program often reveal deficit views of autistic children. This report provides an example of how we help credential candidates learn to reframe deficit thinking about neurodiversity via the examination, discussion, and dramatization of a collection of dilemma-based case stories designed to help our students unearth preconceptions and engage in shared inquiry. One strength of this approach is that it asks candidates to develop specific and realistic plans of action, to adopt a care ethic requiring them to think and act from the perspective of the child, to …

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[Review Of] Flaming?: The Peculiar Theopolitics Of Fire And Desire In Black Male Gospel Performance, By Alisha Lola Jones, Jennifer Rycenga Jan 2020

[Review Of] Flaming?: The Peculiar Theopolitics Of Fire And Desire In Black Male Gospel Performance, By Alisha Lola Jones, Jennifer Rycenga

Faculty Research, Scholarly, and Creative Activity

A book review is presented for Alisha Lola Jones, Flaming? The Peculiar Theopolitics of Fire and Desire in Black Male Gospel Performance. Oxford: Oxford University Press, 2020.

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The Theory And Craft Of Digital Preservation. By Trevor Owens. [Review], Carli Lowe Jan 2020

The Theory And Craft Of Digital Preservation. By Trevor Owens. [Review], Carli Lowe

Faculty Research, Scholarly, and Creative Activity

The world of digital materials presents archivists with many opportunities to access, present, and engage with materials in more flexible ways. Of course, this also presents challenges, including feeling like we do not know the “right” way to proceed, or knowing that we lack the resources to proceed the way we believe is best. In The Theory and Craft of Digital Preservation, Trevor Owens offers a set of frameworks and concepts related to digital preservation with the expectation that an understanding of a few basic principles will provide an informational foundation, allowing archivists to respond with professional expertise and creativity …

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Ethereum As A Hedge: The Intraday Analysis, A. Meshcheryakov, Stoyu Ivanov Jan 2020

Ethereum As A Hedge: The Intraday Analysis, A. Meshcheryakov, Stoyu Ivanov

Faculty Research, Scholarly, and Creative Activity

In this study, we examine on intraday basis Ether-the token or cryptocurrency based on the Ethereum platform. Ether is the second largest crypto-currency, together with Bitcoin they dominate the cryptocurrency universe and account for almost 70% of combined market share. Similar to Bitcoin, Ethereum experienced rapid growth in price from a few cents per Ether after its introduction in 2015 reaching maximum of $1,432.88 on January 13, 2018. In this paper, we study whether Ethereum crypto-currency is a hedge, diversifier or a safe haven asset. We find that Ethereum crypto-currency is a hedge against the US stock and gold markets. …

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Unstructured Data For Cybersecurity And Internal Control, Jesus Canelón, Esperanza Huerta, Normal Leal, Terry Ryan Jan 2020

Unstructured Data For Cybersecurity And Internal Control, Jesus Canelón, Esperanza Huerta, Normal Leal, Terry Ryan

Faculty Research, Scholarly, and Creative Activity

This paper proposes a research framework for studying the connections-realized and potential-between unstructured data (UD) and cybersecurity and internal controls. In the framework, cybersecurity and internal control goals determine the tasks to be conducted. The task influences the types of UD to be accessed and the types of analysis to be done, which in turn influences the outcomes that can be achieved. Patterns in UD are relevant for cybersecurity and internal control, but UD poses unique challenges for its analysis and management. This paper discusses some of these challenges including veracity, structuralizing, bias, and explainability.

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Towards Policy-Aware Edge Computing Architectures, Pratik Baniya, Ardeshir Bastani, Gaurav Bajaj, Clifton Francis, Mahima Agumbe Suresh Jan 2020

Towards Policy-Aware Edge Computing Architectures, Pratik Baniya, Ardeshir Bastani, Gaurav Bajaj, Clifton Francis, Mahima Agumbe Suresh

Faculty Research, Scholarly, and Creative Activity

Cloud computing offers an economical and elastic means to handle the storage and computation needs of the Internet of Things (IoT). However, storage and retrieval from the cloud could potentially violate policies, especially those pertaining to data privacy. Edge computing as a paradigm is a suitable way to overcome these issues. This poster presents an edge computing architecture that enables policy-aware normalization and filtration of the data that is sent to cloud services to preserve policies. We use a secure and encrypted channel to transmit the data generated by the IoT devices to the dedicated computing units at the edge …

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Mud Frontiers, Virginia San Fratello, Ronald Rael Jan 2020

Mud Frontiers, Virginia San Fratello, Ronald Rael

Faculty Research, Scholarly, and Creative Activity

No abstract provided.

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Navigating Tenure-Track As A Female Faculty Of Color: Challenges, Insights, And Personal Experiences, Michele A.L. Villagran, Shamika D. Dalton Jan 2020

Navigating Tenure-Track As A Female Faculty Of Color: Challenges, Insights, And Personal Experiences, Michele A.L. Villagran, Shamika D. Dalton

Faculty Research, Scholarly, and Creative Activity

No abstract provided.

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Continuous Deployment Transitions At Scale, Laurie Williams, Kent Beck, Jeffrey Creasey, Andrew Glover, James Holman, Jez Humble, David Mclaughlin, John Thomas Micco, Brendan Murphy, Jason A. Cox, Vishnu Pendyala, Steven Place, Zachary T. Pritchard, Chuck Rossi, Tony Savor, Michael Stumm, Chris Parnin Jan 2020

Continuous Deployment Transitions At Scale, Laurie Williams, Kent Beck, Jeffrey Creasey, Andrew Glover, James Holman, Jez Humble, David Mclaughlin, John Thomas Micco, Brendan Murphy, Jason A. Cox, Vishnu Pendyala, Steven Place, Zachary T. Pritchard, Chuck Rossi, Tony Savor, Michael Stumm, Chris Parnin

Faculty Research, Scholarly, and Creative Activity

Predictable, rapid, and data-driven feature rollout; lightning-fast; and automated fix deployment are some of the benefits most large software organizations worldwide are striving for. In the process, they are transitioning toward the use of continuous deployment practices. Continuous deployment enables companies to make hundreds or thousands of software changes to live computing infrastructure every day while maintaining service to millions of customers. Such ultra-fast changes create a new reality in software development. Over the past four years, the Continuous Deployment Summit, hosted at Facebook, Netflix, Google, and Twitter has been held. Representatives from companies like Cisco, Facebook, Google, IBM, Microsoft, …

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Survey Of Occupational Therapy Students' Attitudes, Knowledge And Preparedness For Treating Lgbt Clients, Deborah J. Bolding, Vivian Rodriguez, Helen Nguyen, Laurie A. Drabble Jan 2020

Survey Of Occupational Therapy Students' Attitudes, Knowledge And Preparedness For Treating Lgbt Clients, Deborah J. Bolding, Vivian Rodriguez, Helen Nguyen, Laurie A. Drabble

Faculty Research, Scholarly, and Creative Activity

Members of lesbian, gay, bisexual and transsexual (LGBT) populations are sexual and gender minorities and are at risk for significant health disparities compared to heterosexual populations. This study examined occupational therapy students’ and recent graduates’ (n=435) basic knowledge, clinical preparedness and attitudinal awareness for working with LGBT clients using the Lesbian, Gay, Bisexual, and Transgender Development of Clinical Skills Scale (LGBT-DOCSS; Bidell, 2017). Students in the study generally rated themselves low (between three and four on a seven-point scale) on questions related to clinical preparedness, indicating they felt they did not have adequate training relative to working with LGBT clients. …

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A Sense Of Brutality: Philosophy After Narco-Culture, Carlos Alberto Sánchez Jan 2020

A Sense Of Brutality: Philosophy After Narco-Culture, Carlos Alberto Sánchez

Faculty Research, Scholarly, and Creative Activity

Contemporary popular culture is riddled with references to Mexican drug cartels, narcos, and drug trafficking. In the United States, documentary filmmakers, journalists, academics, and politicians have taken note of the increasing threats to our security coming from a subculture that appears to feed on murder and brutality while being fed by a romanticism about power and capital. Carlos Alberto Sánchez uses Mexican narco-culture as a point of departure for thinking about the nature and limits of violence, culture, and personhood. A Sense of Brutality argues that violent cultural modalities, of which narco-culture is but one, call into question our understanding …

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Congestion-Clearing Payments To Passengers, Paul Minett, John Niles, Richard Lee, Brittany Bogue, Marco D. Schaefer Jan 2020

Congestion-Clearing Payments To Passengers, Paul Minett, John Niles, Richard Lee, Brittany Bogue, Marco D. Schaefer

Faculty Research, Scholarly, and Creative Activity

This paper reports on a project that considers whether the goals of (de)congestion pricing could be achieved in whole or in part by incentivizing mode-shift rather than using charging to force it: buying rather than selling decongestion. The project developed a method for estimating the net present value of the costs and benefits of a permanent ITS-enabled program of paying people to travel as passengers rather than as drivers-to reduce existing congestion in a target corridor to a target maximum level of delay-taking into account the mix of the traffic and the potential impact of latent demand and induced trips. …

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Soul Food: [Re]Framing The African-American Farming Crisis Using The Culture-Centered Approach, Andrew Laurence Carter, Adam Alexander Jan 2020

Soul Food: [Re]Framing The African-American Farming Crisis Using The Culture-Centered Approach, Andrew Laurence Carter, Adam Alexander

Faculty Research, Scholarly, and Creative Activity

Historically, African-American farmers faced a long and challenging struggle to own land and operate independently. In recent years, several factors, including unfair policy legislation, institutionalized racism, the mechanization of agriculture, and increases in agricultural technology have exacerbated land loss and decreases in farm ownership. Currently, African-American farmers are vastly underrepresented, comprising just 2% of the nation's farmers, 0.5% of farmland and 0.2% of total agricultural sales. As a site for inquiry, this topic has been examined across many academic sub-disciplines, however, the literature has not yet explored how the erasure of the African-American farmer influences the conversation about broader diet-related …

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A Method For Balancing Provider Schedules In Outpatient Specialty Clinics, Bjorn P. Berg, S. Ayca Erdogan, Jennifer Mason Lobo, Kathryn Pendleton Jan 2020

A Method For Balancing Provider Schedules In Outpatient Specialty Clinics, Bjorn P. Berg, S. Ayca Erdogan, Jennifer Mason Lobo, Kathryn Pendleton

Faculty Research, Scholarly, and Creative Activity

Background. Variability in outpatient specialty clinic schedules contributes to numerous adverse effects including chaotic clinic settings, provider burnout, increased patient waiting times, and inefficient use of resources. This research measures the benefit of balancing provider schedules in an outpatient specialty clinic. Design. We developed a constrained optimization model to minimize the variability in provider schedules in an outpatient specialty clinic. Schedule variability was defined as the variance in the number of providers scheduled for clinic during each hour the clinic is open. We compared the variance in the number of providers scheduled per hour resulting from the constrained optimization schedule …

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Nexgen D-Tcp: Next Generation Dynamic Tcp Congestion Control Algorithm, Madhan Raj Kanagarathinam, Sukhdeep Singh, Irlanki Sandeep, Hanseok Kim, Mukesh Kumar Maheshwari, Jaehyun Hwang, Abhishek Roy, Navrati Saxena Jan 2020

Nexgen D-Tcp: Next Generation Dynamic Tcp Congestion Control Algorithm, Madhan Raj Kanagarathinam, Sukhdeep Singh, Irlanki Sandeep, Hanseok Kim, Mukesh Kumar Maheshwari, Jaehyun Hwang, Abhishek Roy, Navrati Saxena

Faculty Research, Scholarly, and Creative Activity

With the advancement of wireless access networks and mmWave New Radio (NR), new applications emerged, which requires a high data rate. The random packet loss due to mobility and channel conditions in a wireless network is not negligible, which degrades the significant performance of the Transmission Control Protocol (TCP). The TCP has been extensively deployed for congestion control in the communication network during the last two decades. Different variants are proposed to improve the performance of TCP in various scenarios, specifically in lossy and high bandwidth-delay product (high- BDP) networks. Implementing a new TCP congestion control algorithm whose performance is …

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Navigating Refugee Subjecthood: Cambodian American Education, Identity, And Resilience, Yvonne Y. Kwan Jan 2020

Navigating Refugee Subjecthood: Cambodian American Education, Identity, And Resilience, Yvonne Y. Kwan

Faculty Research, Scholarly, and Creative Activity

To investigate trauma formation associated with the intricacy of Cambodian-specific experiences, this study examines how refugee identities and daily diasporic experiences shape the larger subject positions of subsequent generations—particularly through the concept of refugee subjecthood. Cambodia American students’ navigation of ethnic and racial identity reveals that in comparison to the available discursive narratives about their history (given to them through multicultural education), the younger generations’ is an inexact fit. To draw out the relationships between collective feelings and social experiences, this article addresses how Cambodian American students not only come into recognition about their positions as refugee subjects but also …

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Improvement Of Tcad Augmented Machine Learning Using Autoencoder For Semiconductor Variation Identification And Inverse Design, Kashyap Mehta, Sophia Susan Raju, Ming Xiao, Boyan Wang, Yuhao Zhang, Hiu Yung Wong Jan 2020

Improvement Of Tcad Augmented Machine Learning Using Autoencoder For Semiconductor Variation Identification And Inverse Design, Kashyap Mehta, Sophia Susan Raju, Ming Xiao, Boyan Wang, Yuhao Zhang, Hiu Yung Wong

Faculty Research, Scholarly, and Creative Activity

A machine learning (ML) model by combing two autoencoders and one linear regression model is proposed to avoid overfitting and to improve the accuracy of Technology Computer-Aided Design (TCAD)-augmented ML for semiconductor structural variation identification and inverse design, without using domain expertise. TCAD-augmented ML utilizes TCAD simulations to generate sufficient data for ML model development when experimental data are inadequate. The ML model can then be used to identify semiconductor structural variation for given experimental electrical measurements. In this study, the variation of layer thicknesses in the p-i-n diode is used as a demonstration. An ML model is developed to …

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Incorporating A Canopy Parameterization Within A Coupled Fire-Atmosphere Model To Improve A Smoke Simulation For A Prescribed Burn, Derek V. Mallia, Adam K. Kochanski, Shawn P. Urbanski, Jan Mandel, Angel Farguell, Steven K. Krueger Jan 2020

Incorporating A Canopy Parameterization Within A Coupled Fire-Atmosphere Model To Improve A Smoke Simulation For A Prescribed Burn, Derek V. Mallia, Adam K. Kochanski, Shawn P. Urbanski, Jan Mandel, Angel Farguell, Steven K. Krueger

Faculty Research, Scholarly, and Creative Activity

Forecasting fire growth, plume rise and smoke impacts on air quality remains a challenging task. Wildland fires dynamically interact with the atmosphere, which can impact fire behavior, plume rises, and smoke dispersion. For understory fires, the fire propagation is driven by winds attenuated by the forest canopy. However, most numerical weather prediction models providing meteorological forcing for fire models are unable to resolve canopy winds. In this study, an improved canopy model parameterization was implemented within a coupled fire-atmosphere model (WRF-SFIRE) to simulate a prescribed burn within a forested plot. Simulations with and without a canopy wind model were generated …

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Ecg Biometric Authentication: A Comparative Analysis, Mohit Ingale, Renato Cordeiro, Siddartha Thentu, Younghee Park, Nima Karimian Jan 2020

Ecg Biometric Authentication: A Comparative Analysis, Mohit Ingale, Renato Cordeiro, Siddartha Thentu, Younghee Park, Nima Karimian

Faculty Research, Scholarly, and Creative Activity

Robust authentication and identification methods become an indispensable urgent task to protect the integrity of the devices and the sensitive data. Passwords have provided access control and authentication, but have shown their inherent vulnerabilities. The speed and convenience factor are what makes biometrics the ideal authentication solution as they could have a low probability of circumvention. To overcome the limitations of the traditional biometric systems, electrocardiogram (ECG) has received the most attention from the biometrics community due to the highly individualized nature of the ECG signals and the fact that they are ubiquitous and difficult to counterfeit. However, one of …

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Energy Filtering Effect At Source Contact On Ultra-Scaled Mosfets, Johan Saltin, Nguyen Cong Dao, Philip H.W. Leong, Hiu Yung Wong Jan 2020

Energy Filtering Effect At Source Contact On Ultra-Scaled Mosfets, Johan Saltin, Nguyen Cong Dao, Philip H.W. Leong, Hiu Yung Wong

Faculty Research, Scholarly, and Creative Activity

We postulate that in ultra-scaled Field Effect Transistors (FET), such as nanowires in sub-7nm technology, the source contact will act as an energy filter and increase the effective temperature of carriers arriving at the channel barrier. This is due to the absence of inelastic scattering in the short source-contact-to-channel region. As a result, the Sub-threshold Slope (SS) will increase substantially. In this paper, we verify this energy filtering effect through numerical calculations and Technology Computer-Aided-Design (TCAD) simulations calibrated to quantum solvers for electrostatics. It is found that SS degradation increases as the source metal workfunction increases. At 300K, in the …

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An Ultra-Low-Power Area-Efficient Non-Coherent Binary Phase-Shift Keying Demodulator For Implantable Biomedical Microsystems, Milad Ghazi, Mohammad Hossein Maghami, Parviz Amiri, Sotoudeh Hamedi-Hagh Jan 2020

An Ultra-Low-Power Area-Efficient Non-Coherent Binary Phase-Shift Keying Demodulator For Implantable Biomedical Microsystems, Milad Ghazi, Mohammad Hossein Maghami, Parviz Amiri, Sotoudeh Hamedi-Hagh

Faculty Research, Scholarly, and Creative Activity

A novel non-coherent, low-power, area-efficient binary phase-shift keying demodulator for wireless implantable biomedical microsystems is proposed. The received data and synchronized clock signal are detected using a delayed digitized format of the input signal. The proposed technique does not require any kind of oscillator circuit, and due to the synchronization of all circuit signals, the proposed demodulator can work in a wide range of biomedical data telemetry common frequencies in different process/temperature corners. The presented circuit has been designed and post-layout-simulated in a standard 0.18 µm CMOS technology and occupies 17 × 27 µm2 of active area. Post-layout simulation results …

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Conceptual Cognitive Modeling For Fine-Grained Annotation Quality Assessment Of Object Detection Datasets, Lei Guo, Xinying Xu, Gang Xie, Jerry Gao Jan 2020

Conceptual Cognitive Modeling For Fine-Grained Annotation Quality Assessment Of Object Detection Datasets, Lei Guo, Xinying Xu, Gang Xie, Jerry Gao

Faculty Research, Scholarly, and Creative Activity

No abstract provided.

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