Works Published in 2021

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Displaying works 21 - 40 of 269 in total

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

2021 conference paper

Toward Real-Time Guaranteed Scheduling for Autonomous Driving Systems

Proceedings of the 42nd IEEE Real-Time Systems Symposium (RTSS 2021), Industry Challenge. Presented at the 42nd IEEE Real-Time Systems Symposium (RTSS 2021), Industry Challenge, Dortmund, DE.

By: J. Sun, T. Wang, K. Duan, B. Lu, J. Ren, Z. Guo, G. Tan

Event: 42nd IEEE Real-Time Systems Symposium (RTSS 2021), Industry Challenge at Dortmund, DE on December 7-10, 2021

Source: NC State University Libraries
Added: April 21, 2023

2021 article proceedings

Calculating Worst-Case Response Time Bounds for OpenMP Programs with Loop Structures

Presented at the 2021 IEEE Real-Time Systems Symposium (RTSS).

Event: 2021 IEEE Real-Time Systems Symposium (RTSS)

TL;DR: This paper forms the workload of OpenMP task systems with loop structures as the cyclic graph model and develops a linear-time dynamic programming algorithm to compute the WCRT bound without unrolling loops or explicitly enumerating the execution flows. (via Semantic Scholar)
Sources: Crossref, NC State University Libraries
Added: April 1, 2023

2021 article proceedings

An Ensemble Machine Learning Approach for the Estimation of Lower Extremity Kinematics Using Shoe-Mounted IMU Sensors

Presented at the 26th Annual Meeting of the GCMAS.

By: M. Sanzid, J. Dranetz, H. Choi & Z. Guo*

Event: 26th Annual Meeting of the GCMAS

TL;DR: This paper proposes a new machine learning algorithm that provides highly accurate and real-time hip, knee, and ankle joint angle estimations in the sagittal plane using two shoe-mounted IMU sensors and adapted five deep learning networks by implementing various configurations of Convolutional Neural Networks or Long-Short Term Memory Networks to leverage the advantage of each model. (via Semantic Scholar)
Sources: Crossref, NC State University Libraries
Added: April 1, 2023

2021 article proceedings

VR-Spy: A Side-Channel Attack on Virtual Key-Logging in VR Headsets

Presented at the 2021 IEEE Virtual Reality and 3D User Interfaces (VR).

By: A. Arafat*, Z. Guo* & A. Awad n

Event: 2021 IEEE Virtual Reality and 3D User Interfaces (VR)

TL;DR: This is the first work that uses WiFi signals to recognize virtual keystrokes in VR headsets using channel state information (CSI) of WiFi signals, and the key idea behind VR -Spy is that the side-channel information of fine-granular hand movements associated with each virtual keystroke has a unique gesture pattern in the CSI waveforms. (via Semantic Scholar)
UN Sustainable Development Goal Categories
16. Peace, Justice and Strong Institutions (OpenAlex)
Sources: Crossref, NC State University Libraries
Added: April 1, 2023

2021 article proceedings

Precise Scheduling of Mixed-Criticality Tasks on Varying-Speed Multiprocessors

Presented at the RTNS'2021: 29th International Conference on Real-Time Networks and Systems.

By: T. She*, S. Vaidhun*, Q. Gu*, S. Das*, Z. Guo* & K. Yang*

Event: RTNS'2021: 29th International Conference on Real-Time Networks and Systems

TL;DR: This paper proposes two novel algorithms based on the virtual-deadline and fluid-scheduling approaches for multiprocessor scheduling, which are evaluated theoretically with speedup bounds and approximation factors as well as experimentally via randomly generated task sets. (via Semantic Scholar)
Sources: Crossref, NC State University Libraries
Added: April 1, 2023

2021 article proceedings

Reserving Processors by Precise Scheduling of Mixed-Criticality Tasks

Presented at the 2021 IEEE 27th International Conference on Embedded and Real-Time Computing Systems and Applications (RTCSA).

By: T. She, Z. Guo*, Q. Gu & K. Yang

Event: 2021 IEEE 27th International Conference on Embedded and Real-Time Computing Systems and Applications (RTCSA)

TL;DR: This work investigates the precise scheduling problem of MC tasks when the number of available processors may vary at the mode switch, and proposes two alternative algorithms by adapting virtual-deadline-based EDF and by fluid scheduling, respectively and provides a sufficient schedulability test for each. (via Semantic Scholar)
Sources: Crossref, NC State University Libraries
Added: April 1, 2023

2021 article proceedings

Tighter Bounds of Speedup Factor of Partitioned EDF for Constrained-Deadline Sporadic Tasks

Presented at the 2021 IEEE Real-Time Systems Symposium (RTSS).

By: X. Liu*, Z. Chen*, X. Han*, Z. Sun & Z. Guo*

Event: 2021 IEEE Real-Time Systems Symposium (RTSS)

TL;DR: The improved lower bound disproves the conjecture of lower bound 1.5 by a task set of only eight tasks, and sheds light on future work in transferring/downsizing task sets and deriving utilization bound based tests for various workload abstraction models, such as DAG tasks. (via Semantic Scholar)
Sources: Crossref, NC State University Libraries
Added: April 1, 2023

2021 article proceedings

A Multi-Level DPM Approach for Real-Time DAG Tasks in Heterogeneous Processors

Presented at the 2021 IEEE Real-Time Systems Symposium (RTSS).

Event: 2021 IEEE Real-Time Systems Symposium (RTSS)

TL;DR: This paper studies the energy-aware real-time scheduling of Directed Acyclic Graph (DAG) tasks and integrates the Dynamic Power Management (DPM) policy to reduce the Worst-Case Energy Consumption (WCEC), which is an essential requirement for energy-constrained systems. (via Semantic Scholar)
UN Sustainable Development Goal Categories
7. Affordable and Clean Energy (OpenAlex)
Sources: Crossref, NC State University Libraries
Added: April 1, 2023

2021 journal article

Mixed-criticality real-time scheduling of gang task systems

Real-Time Systems, 57(3), 268–301.

By: A. Bhuiyan*, K. Yang*, S. Arefin*, A. Saifullah*, N. Guan* & Z. Guo*

TL;DR: This work addresses the MC scheduling of parallel tasks of gang model that allows workloads to execute on multiple cores simultaneously, as well as the change to degree of parallelism of a task upon a mode switch, and proposes a new technique GEDF-VD, which integrates Global Earliest Deadline First (GEDF) and Earliest deadline First with Virtual Deadline (EDf-VD). (via Semantic Scholar)
Sources: Crossref, NC State University Libraries
Added: April 1, 2023

2021 journal article

A network analysis of cross-occupational skill transferability for the hospitality industry

International Journal of Contemporary Hospitality Management, 33(12), 4215–4236.

By: A. Huang*, T. Fisher*, H. Ding n & Z. Guo*

UN Sustainable Development Goal Categories
1. No Poverty (Web of Science)
8. Decent Work and Economic Growth (Web of Science; OpenAlex)
10. Reduced Inequalities (Web of Science)
Sources: Crossref, NC State University Libraries
Added: April 1, 2023

2021 journal article

Sampling Sparse Representations with Randomized Measurement Langevin Dynamics

ACM Transactions on Knowledge Discovery from Data, 15(2), 1–21.

TL;DR: A novel SGLD sampler, namely, Randomized Measurement Langevin Dynamics (RMLD) is proposed to sample the high-dimensional sparse representations from the spectral domain of a given dataset, demonstrating the superior performance of RMLD beyond baseline methods. (via Semantic Scholar)
Sources: Crossref, NC State University Libraries
Added: April 1, 2023

2021 journal article

CRLEDD: Regularized Causalities Learning for Early Detection of Diseases Using Electronic Health Record (EHR) Data

IEEE Transactions on Emerging Topics in Computational Intelligence.

TL;DR: CRLEDD – Causality-Regularized Learning for Early Detection of Disease, an algorithm to improve the performance of Linear Discriminant Analysis (LDA) on top of diagnosis-frequency vector data representation and compares it with other regularized LDA and downstream classifiers. (via Semantic Scholar)
UN Sustainable Development Goal Categories
10. Reduced Inequalities (OpenAlex)
Source: ORCID
Added: March 26, 2023

2021 journal article

COMO: Efficient Deep Neural Networks Expansion With COnvolutional MaxOut

IEEE Transactions on Multimedia, 23, 1722–1730.

TL;DR: The classic MaxOut strategy is extended into COnvolutional MaxOut (COMO) — a new strategy making deep convolutional neural networks wider with parameter efficiency, which outperforms the existing solutions that make networks wider, and it dominates in the comparison of accuracy versus parameter sizes. (via Semantic Scholar)
Source: ORCID
Added: March 26, 2023

2021 journal article

Partitioning-Based Scheduling of OpenMP Task Systems With Tied Tasks

IEEE Transactions on Parallel and Distributed Systems, 32(6), 1322–1339.

TL;DR: A partitioning-based algorithm is proposed, P-EDF-omp, by which the tied task constraint can be automatically guaranteed as long as an OpenMP task system can be successfully partitioned to a multiprocessor platform. (via Semantic Scholar)
Source: ORCID
Added: March 26, 2023

2021 journal article

Narrowing the speedup factor gap of partitioned EDF

Information and Computation, 281, 104743.

By: X. Liu, X. Han, L. Zhao & Z. Guo*

TL;DR: A novel method to discretize and regularize sporadic task sets which are schedulable on uniprocessors, and obtain that the ratio (ρ) of the approximate demand bound value to machine capacity is upper bounded by 1.5556 for the arbitrary deadline case, which plays an important role in estimating the speed factor of Partitioned-EDF. (via Semantic Scholar)
UN Sustainable Development Goal Categories
16. Peace, Justice and Strong Institutions (OpenAlex)
Source: ORCID
Added: March 26, 2023

2021 journal article

How end-user programmers forage in online repositories? An information foraging perspective

Journal of Computer Languages, 62, 101010.

By: S. Kuttal*, S. Kim*, C. Martos* & A. Bejarano*

TL;DR: This analysis qualitatively analyzed the end-user programmers’ behavior and focused on not only program variants from a single source, but also on similar variants from various sources developed over time and by different authors. (via Semantic Scholar)
Sources: Crossref, NC State University Libraries
Added: March 26, 2023

2021 article proceedings

Trade-offs for Substituting a Human with an Agent in a Pair Programming Context: The Good, the Bad, and the Ugly

Presented at the CHI '21: CHI Conference on Human Factors in Computing Systems.

By: S. Kuttal*, B. Ong*, K. Kwasny* & P. Robe*

Event: CHI '21: CHI Conference on Human Factors in Computing Systems

TL;DR: This work investigated the trade-offs of substituting a human with an agent to simultaneously provide benefits and alleviate obstacles in pair programming and demonstrated that agents can act as effective pair programming partners. (via Semantic Scholar)
Sources: Crossref, NC State University Libraries
Added: March 26, 2023

2021 chapter book

Designing a Gender-Inclusive Conversational Agent For Pair Programming: An Empirical Investigation

By: S. Kuttal*, A. Sedhain* & J. AuBuchon*

TL;DR: Men participants showed less uncertainty and trusted agent solutions more, while women participants used more instructions and apologized less to an agent, confirming the feasibility of creating gender-inclusive conversational agents for programming. (via Semantic Scholar)
Sources: Crossref, NC State University Libraries
Added: March 26, 2023

2021 article proceedings

Remote Pair Collaborations of CS Students: Leaving Women Behind?

Presented at the 2021 IEEE Symposium on Visual Languages and Human-Centric Computing (VL/HCC).

By: C. Lott*, A. McAuliffe* & S. Kuttal*

Event: 2021 IEEE Symposium on Visual Languages and Human-Centric Computing (VL/HCC)

TL;DR: A large-scale survey to investigate differences between men and women as well as same- and mixed-gender pairs found that women participants reported their men partners made gender-based assumptions about them, and felt dominated and interrupted with men partners. (via Semantic Scholar)
Sources: Crossref, NC State University Libraries
Added: March 26, 2023

2021 journal article

Visual Resume: Exploring developers’ online contributions for hiring

Information and Software Technology, 138, 106633.

By: S. Kuttal*, X. Chen*, Z. Wang*, S. Balali* & A. Sarma*

TL;DR: The results suggest that Visual Resume helps in participants evaluate cues for technical and soft skills more efficiently as it presents an aggregated view of candidate’s contributions, allows drill down to details about contributions, and allows easy comparison of candidates via movable cards that could be arranged to match participants’ needs. (via Semantic Scholar)
Sources: Crossref, NC State University Libraries
Added: March 26, 2023

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