Edward P. Fitts Department of Industrial & Systems Engineering

Works Published in 2020

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Displaying works 41 - 60 of 131 in total

Sorted by most recent date added to the index first, which may not be the same as publication date order.

2020 chapter

A Sensorimotor Rhythm-Based Brain–Computer Interface Controlled Functional Electrical Stimulation for Handgrasp Rehabilitation

In C. S. Nam (Ed.), Neuroergonomics: principles and practice (pp. 329–349).

Ed(s): C. Nam n

TL;DR: This chapter presents the state-of-the-art SMR-based BCI-controlled FES technologies, such as current motor imagery (MI) training procedures and guidelines, an EEG-channel montage used to decode MI features, and brain features evoked by MI. (via Semantic Scholar)
Sources: NC State University Libraries, NC State University Libraries
Added: July 27, 2021

2020 chapter

Brain–Computer Interfaces for Spinal Cord Injury Rehabilitation

In C. S. Nam (Ed.), Neuroergonomics: Principles and Practices (pp. 315–328).

By: A. Merante n, Y. Zhang*, S. Kumar* & C. Nam n

Ed(s): C. Nam n

TL;DR: This chapter will discuss the current potential of BCIs for SCI rehabilitation, as well as what areas of this field need to be improved in the future. (via Semantic Scholar)
Sources: NC State University Libraries, NC State University Libraries
Added: July 27, 2021

2020 journal article

Witness Box Protocol: Automatic machine identification and authentication in industry 4.0

COMPUTERS IN INDUSTRY, 123.

By: N. Mehdi n & B. Starly n

author keywords: Cybersecurity; Smart manufacturing; Manufacturing fingerprinting; Cyber physical systems; Digital supply Chain traceability
TL;DR: This paper introduces a machine fingerprinting scheme named as the ‘Witness Box Protocol’ (WBP) that exploits the physical properties of manufacturing machines and their surroundings to create a unique biometric like fingerprint that simplifies asset management within a large enterprise or distributed network comprising of thousands of machines in a Manufacturing-as-a-Service (MaaS) paradigm. (via Semantic Scholar)
Sources: Web Of Science, ORCID
Added: July 19, 2021

2020 article

Influence of Dynamic Automation Function Allocations on Operator Situation Awareness and Workload in Unmanned Aerial Vehicle Control

ADVANCES IN HUMAN FACTORS AND SYSTEMS INTERACTION, Vol. 959, pp. 337–348.

By: Y. Deng n, J. Shirley, W. Zhang n, N. Kim n & D. Kaber*

author keywords: UAV; Dynamic automation; Situation awareness; Workload
TL;DR: A high-fidelity UAV flight simulation was utilized to explore the potential for DFAs in UAV control to reduce operator workload and support overall situation awareness, and demonstrated the presence of “out-of-the-loop performance” issues under high LoA. (via Semantic Scholar)
Source: Web Of Science
Added: June 10, 2021

2020 journal article

Review: Modeling in Situ Liver Cancer

Annals of Gastroenterology and Digestive Disorders. https://www.somatopublications.com/review-modeling-in-situ-liver-cancer.pdf

Rohan Shirwaiker

Source: ORCID
Added: May 28, 2021

2020 journal article

Biofabricated 3D in vitro model of fibrosis‐induced abnormal hepatoblast/biliary progenitors’ expansion of the developing liver

Bioengineering & Translational Medicine, 12.

By: M. Brovold*, D. Keller*, M. Devarasetty*, A. Dominijanni*, R. Shirwaiker n & S. Soker*

author keywords: 3D organoids; biliary development; fibrosis; HepaRG; hepatic stellate cell
TL;DR: A simple yet robust model that recapitulates physico‐mechanical and cellular aspects of fibrosis mediated via hepatic stellate cells (HSCs) and their effects on biliary progenitor cells is developed to benefit pediatric patients that suffer from the biliary dysgenesis associated with a multitude of congenital liver diseases. (via Semantic Scholar)
Source: ORCID
Added: May 28, 2021

2020 chapter

Neural Correlates and Mechanisms of Trust

In C. S. Nam (Ed.), Neuroergonomics: Principles and Practices (pp. 451–461).

By: E. Eskander n, N. Sanders n & C. Nam n

Ed(s): C. Nam n

TL;DR: The structural correlates involved in trust/distrust identified are the prefrontal cortex (PFC), the insula, caudate, amygdala, and anterior paracingulate cortex, which seem to have higher correlations with the negative decision to distrust. (via Semantic Scholar)
Sources: NC State University Libraries, NC State University Libraries
Added: April 10, 2021

2020 chapter

Neuroergonomics Behind the Wheel: Neural Correlates of Car Driving

In C. S. Nam (Ed.), Neuroergonomics: Principles and Practices (pp. 353–388).

By: M. Ware n, J. Feng n & C. Nam n

Ed(s): C. Nam n

TL;DR: This chapter provides a review of studies that utilized neurocognitive methods to study how a driver’s brain functions to support various tasks while driving and suggests a critical role of frontal regions of the brain in driving. (via Semantic Scholar)
Sources: NC State University Libraries, NC State University Libraries
Added: April 10, 2021

2020 chapter

Dynamic Causal Modeling (DCM) for EEG Approach to Neuroergonomics

In C. S. Nam (Ed.), Neuroergonomics: Principles and Practices (pp. 139–158).

By: J. Huang n & C. Nam n

Ed(s): C. Nam n

TL;DR: This chapter is a good guide for both novice and experienced neuroergonomics researchers as it introduces the motivations behind DCM for EEG and its developmental timelines, as well as explains fundamentals of the DCm for EEG including the neural mass models, state and observer’s equation, and the model selection processes. (via Semantic Scholar)
Sources: NC State University Libraries, NC State University Libraries
Added: April 10, 2021

2020 chapter

Deep Learning Techniques in Neuroergonomics

In C. S. Nam (Ed.), Neuroergonomics: Principles and Practices (pp. 115–138; By C. S. Nam).

By: S. Choo n & C. Nam n

Ed(s): C. Nam n

TL;DR: Popular DL models such as the multilayer perceptron (MLP), deep belief network (DBN), convolutional neural network (CNN), and recurrent neural networks (RNN) are introduced and their applications in neuroergonomics research are reviewed. (via Semantic Scholar)
Sources: NC State University Libraries, NC State University Libraries
Added: April 10, 2021

2020 chapter

Adaptive Control of Thought-Rational (ACT-R): Applying a Cognitive Architecture to Neuroergonomics

In C. S. Nam (Ed.), Neuroergonomics: Principles and Practices (pp. 105–114; By C. S. Nam).

By: N. Kim n & C. Nam n

Ed(s): C. Nam n

TL;DR: This chapter aims at providing an overview of ACT-R with an emphasis on its modules, buffers, and sub-symbolic levels, and presents future directions ofACT-R for neuroergonomics research. (via Semantic Scholar)
Sources: NC State University Libraries, NC State University Libraries
Added: April 10, 2021

2020 book

Transcranial Direct Current Stimulation (tDCS): A Beginner’s Guide for Neuroergonomists

In C. S. Nam (Ed.), Neuroergonomics: Principles and Practices (pp. 77–101).

By: J. Green n, S. Jang*, J. Choi*, S. Jun* & C. Nam n

Ed(s): C. Nam n

TL;DR: This Beginner’s Guide is intended to provide the necessary information for neuroergonomists to be able to understand the effects and usages of Transcranial Direct Current Stimulation (tDCS) on the brain. (via Semantic Scholar)
Sources: NC State University Libraries, NC State University Libraries
Added: April 10, 2021

2020 chapter

Functional Near-infrared Spectroscopy (fNIRS) in Neuroergonomics

[Review of Cognitive Science and Technology]. In C. S. Nam (Ed.), Neuroergonomics: Principles and Practices (pp. 53–76; By C. S. Nam).

By: L. Thomas n & C. Nam n

Ed(s): C. Nam n

TL;DR: The main purpose of this chapter is to show the necessity and value of fNIRS in research and how it is able to provide accurate information in situations that would have otherwise been inaccessible. (via Semantic Scholar)
Sources: NC State University Libraries, NC State University Libraries
Added: April 10, 2021

2020 chapter

The EEG Cookbook: A Practical Guide to Neuroergonomics Research

In C. S. Nam (Ed.), Neuroergonomics: Principles and Practices (pp. 33–51).

Ed(s): C. Nam n

TL;DR: This chapter provides an overview of three aspects of EEG research which it hope will help novice researchers efficiently produce meaningful and replicable results: power analysis, data preprocessing, and reporting. (via Semantic Scholar)
Sources: NC State University Libraries, NC State University Libraries
Added: April 10, 2021

2020 book

Neuroergonomics: Principles and Practices.

Chang Nam

Ed(s): C. Nam

Sources: NC State University Libraries, NC State University Libraries
Added: April 10, 2021

2020 book

Introduction to Linear Conic Optimization

Beijing, China: Tsinghua University Press.

By: W. Xing & S. Fang

Source: NC State University Libraries
Added: March 22, 2021

2020 journal article

A dual-channel supply chain problem with resource-utilization penalty: Who can benefit from sales effort?

Journal of Industrial & Management Optimization.

By: L. Zhao, J. You & S. Fang*

author keywords: dual-channel; pricing strategy; sales effort; resource-utilization penalty; Supply chain management
Sources: Crossref, NC State University Libraries
Added: March 20, 2021

2020 journal article

Sparse Solutions by a Quadratically Constrained ℓq (0 < q < 1) Minimization Model

Sparse Solutions by a Quadratically Constrained ℓq (0 < q < 1) Minimization Model. INFORMS Journal on Computing, 9.

author keywords: nonsmooth optimization; nonconvex optimization; optimality condition; sparse solution; sparse signal recovery; image processing
TL;DR: Finding sparse solutions to a system of equations and/or inequalities is an important topic in many application areas such as signal processing, statistical regression and nonparametric modeling. (via Semantic Scholar)
Sources: Crossref, NC State University Libraries
Added: March 20, 2021

2020 journal article

Culture versus Policy: More Global Collaboration to Effectively Combat COVID-19

The Innovation, 1(2), 100023.

By: J. Li*, K. Guo*, E. Viedma*, H. Lee*, J. Liu*, N. Zhong*, L. Autran Monteiro Gomes*, F. Filip* ...

TL;DR: All countries and governments should be more tolerant to each other in seeking cultural and political consensus to overcome this historically tragic pandemic together. (via Semantic Scholar)
Sources: Crossref, NC State University Libraries
Added: March 20, 2021

2020 journal article

Workflow Differences Affect Data Accuracy in Oncologic EHRs: A First Step Toward Detangling the Diagnosis Data Babel

JCO CLINICAL CANCER INFORMATICS, 4, 529–538.

By: F. Diaz-Garelli*, R. Strowd*, V. Lawson*, M. Mayorga n, B. Wells*, T. Lycan*, U. Topaloglu*

MeSH headings : Data Accuracy; Electronic Health Records; Humans; Physicians; Surveys and Questionnaires; Workflow
TL;DR: Clinicians and researchers reusing oncologic data should consider such heterogeneity when conducting secondary analyses of EHR data, and the need for specific structured DX data recording varies across clinical workflows and may be dependent on clinical information needs. (via Semantic Scholar)
Sources: Web Of Science, ORCID
Added: March 1, 2021

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