Works Published in 2022

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Displaying works 61 - 80 of 247 in total

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

2022 article

Neural Network Based Tracking of Maneuvering Unmanned Aerial Vehicles

2022 56TH ASILOMAR CONFERENCE ON SIGNALS, SYSTEMS, AND COMPUTERS, pp. 380–386.

By: P. Sinha n, H. Krim n & I. Guvenc n

author keywords: Adaptive filtering; change point detection; maneuvering target tracking; neural network; nonlinear data-driven motion model
TL;DR: This work builds a data driven adaptive filtering algorithm that improves the tracking accuracy by using a recurrent neural network (RNN)-based motion model that is trained on realistic simulated data generated from a medium fidelity simulink model of a fixed-wing UAV. (via Semantic Scholar)
UN Sustainable Development Goal Categories
Source: Web Of Science
Added: June 5, 2023

2022 article

Multi-stream Deep Residual Network for Cloud Imputation Using Multi-resolution Remote Sensing Imagery

2022 21ST IEEE INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND APPLICATIONS, ICMLA, pp. 97–104.

By: Y. Zhao n, X. Yang n & R. Vatsavai n

author keywords: Remote sensing; Cloud imputation; Benchmark; Multi-resolution; Deep learning
TL;DR: A new benchmark data set consisting of images from two widely used and publicly available satellite images, Landsat-8 and Sentinel-2, and a new multi-stream deep residual network (MDRN) fills an important gap in the existing benchmark datasets, which allows exploitation of multi-resolution spectral information from the cloud-free regions of temporally nearby images. (via Semantic Scholar)
UN Sustainable Development Goal Categories
11. Sustainable Cities and Communities (Web of Science; OpenAlex)
Sources: Web Of Science, NC State University Libraries
Added: June 5, 2023

2022 article

Persona-Based Conversational AI: State of the Art and Challenges

2022 IEEE INTERNATIONAL CONFERENCE ON DATA MINING WORKSHOPS, ICDMW, pp. 993–1001.

By: J. Liu*, C. Symons & R. Vatsavai*

TL;DR: This study evaluates two strong baseline methods, the Ranking Profile Memory Network and the Poly-Encoder, on the NeurIPS ConvAI2 benchmark dataset and elucidates the importance of incorporating persona information into conversational systems. (via Semantic Scholar)
UN Sustainable Development Goal Categories
4. Quality Education (OpenAlex)
Sources: Web Of Science, NC State University Libraries
Added: May 30, 2023

2022 article

Estimating Student Grades through Peer Assessment as a Crowdsourcing Calibration Problem

2022 20TH INTERNATIONAL CONFERENCE ON INFORMATION TECHNOLOGY BASED HIGHER EDUCATION AND TRAINING (ITHET).

By: Y. Xiao n, Y. Gao*, C. Yue* & E. Gehringer n

author keywords: Machine learning algorithms; STEM; Educational technology; Engineering education
TL;DR: An algorithm is proposed that could provide accurate automated grading, an overview of students’ weaknesses from peer feedback, and identify reviewers who lack an understanding of certain concepts to allow instructors to offer targeted training and create data-driven lesson plans. (via Semantic Scholar)
Sources: Web Of Science, NC State University Libraries
Added: May 30, 2023

2022 article

A New Era of Plagiarism the Danger of Cheating Using AI

2022 20TH INTERNATIONAL CONFERENCE ON INFORMATION TECHNOLOGY BASED HIGHER EDUCATION AND TRAINING (ITHET).

TL;DR: It is found that tools commonly used to detect plagiarism in the academic field are vulnerable to attacks by these AI-based tools. (via Semantic Scholar)
UN Sustainable Development Goal Categories
4. Quality Education (Web of Science)
Sources: Web Of Science, NC State University Libraries
Added: May 30, 2023

2022 article

Imbalanced Adversarial Training with Reweighting

2022 IEEE INTERNATIONAL CONFERENCE ON DATA MINING (ICDM), pp. 1209–1214.

author keywords: model robustness; imbalanced data; adversarial training; reweighting
TL;DR: The poor data separability is one key reason causing this strong tension between under-represented and well-represented classes and the Separable Reweighted Adversarial Training (SRAT) framework is proposed to facilitate adversarial training under imbalanced scenarios, by learning more separable features for different classes. (via Semantic Scholar)
Sources: Web Of Science, NC State University Libraries
Added: May 22, 2023

2022 article

Interactive NLU-Powered Ontology-Based Workflow Synthesis for FAIR Support of HPC

2022 IEEE/ACM INTERNATIONAL WORKSHOP ON HPC USER SUPPORT TOOLS (HUST), pp. 29–40.

author keywords: Ontology; Workflow; Synthesis; HPC; FAIR; NLP
TL;DR: INPOWS allows the use of Natural Language for queries, maximizes the robustness in handling concepts and language ambiguities through an interactive ontology-based design, and achieves superior extensibility by adopting a synthesis algorithm powered by Natural Language Understanding. (via Semantic Scholar)
UN Sustainable Development Goal Categories
4. Quality Education (Web of Science)
Sources: Web Of Science, NC State University Libraries
Added: May 9, 2023

2022 article

Honeypot-Based Cyber Deception Against Malicious Reconnaissance via Hypergame Theory

2022 IEEE GLOBAL COMMUNICATIONS CONFERENCE (GLOBECOM 2022), pp. 3393–3398.

By: A. Anwar*, M. Zhu n, Z. Wan*, J. Cho*, C. Kamhoua* & M. Singh n

TL;DR: A two-player hypergame model that characterizes how a defender should deploy low and high-interaction honeypots to defend the network against malicious reconnaissance activities is presented and the numerical results validate the effectiveness of the proposed honeypot system. (via Semantic Scholar)
UN Sustainable Development Goal Categories
16. Peace, Justice and Strong Institutions (OpenAlex)
Sources: Web Of Science, NC State University Libraries
Added: May 1, 2023

2022 article

Hey Alexa, Who Am I Talking to?: Analyzing Users' Perception and Awareness Regarding Third-party Alexa Skills

PROCEEDINGS OF THE 2022 CHI CONFERENCE ON HUMAN FACTORS IN COMPUTING SYSTEMS (CHI' 22).

By: A. Sabir n, E. Lafontaine n & A. Das n

author keywords: Voice assistant; Third-party skills; Security indicators
TL;DR: An interactive user study where participants listen to and interact with real-world skills using the official Alexa app finds that most participants fail to identify the skill developer correctly and cannot correctly determine which skills will be automatically activated through the voice interface. (via Semantic Scholar)
UN Sustainable Development Goal Categories
4. Quality Education (OpenAlex)
Source: Web Of Science
Added: May 1, 2023

2022 article

RMS: Removing Barriers to Analyze the Availability and Surge Pricing of Ridesharing Services

PROCEEDINGS OF THE 2022 CHI CONFERENCE ON HUMAN FACTORS IN COMPUTING SYSTEMS (CHI' 22).

By: H. Khan n, H. Iqbal n, M. Shahzad n & G. Jin n

author keywords: Ridesharing services; Gig economy; Uber; Surge; COVID 19
TL;DR: This paper identifies that previous articles miscalculated the utilization of ridesharing services as they did not count in the vehicles driving in multiple categories of the same service, and presents Ridesharing Measurement Suite (RMS), which removes the barrier of entry for analyzing the availability and surge pricing of ridesHaring services for ridesh sharing users, researchers from various scientific domains, and regulators. (via Semantic Scholar)
Source: Web Of Science
Added: May 1, 2023

2022 conference paper

Time Series Prediction with Anomaly-Aware Recurrent Neural Networks

Proceedings of European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECMLPKDD). Presented at the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECMLPKDD), Grenoble.

By: A. Farhangi, J. Bian, A. Huang, H. Xiong, J. Wang & Z. Guo

Event: European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECMLPKDD) at Grenoble on September 19-23, 2022

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

2022 article

Brief Industry Paper: Enabling Level-4 Autonomous Driving on a Single $1k Off-the-Shelf Card

2022 IEEE 28TH REAL-TIME AND EMBEDDED TECHNOLOGY AND APPLICATIONS SYMPOSIUM (RTAS), pp. 297–300.

By: H. Sung n, Y. Xu n, J. Guan*, W. Niu*, B. Ren*, Y. Wang*, S. Liu, X. Shen n

TL;DR: It is shown that it is feasible to enable full leve1-4 autonomous driving workloads on a single off-the-shelf card (Jetson AGX Xavier) for less than 1.1 times less than the state-of- the-art systems, while meeting all the requirements of latency. (via Semantic Scholar)
UN Sustainable Development Goal Categories
9. Industry, Innovation and Infrastructure (OpenAlex)
Sources: Web Of Science, NC State University Libraries
Added: April 17, 2023

2022 article

Exploration of theWeek-by-Week ICAP Transitions by Students

PROCEEDINGS OF THE 53RD ACM TECHNICAL SYMPOSIUM ON COMPUTER SCIENCE EDUCATION (SIGCSE 2022), VOL 2, pp. 1088–1088.

By: A. Gaweda n & C. Lynch n

TL;DR: This work categorize learning activities from an online professional development course and analyzed the probabilities of transitioning between ICAP modalities on a week-by-week basis, finding the majority of students would review Passive materials before Interactive activities, then repeating this process each week. (via Semantic Scholar)
UN Sustainable Development Goal Categories
4. Quality Education (Web of Science)
Source: Web Of Science
Added: April 4, 2023

2022 article proceedings

A Mixed-Criticality Approach to Fault Tolerance: Integrating Schedulability and Failure Requirements

Presented at the 2022 IEEE 28th Real-Time and Embedded Technology and Applications Symposium (RTAS).

By: F. Reghenzani*, Z. Guo*, L. Santinelli* & W. Fornaciari*

Event: 2022 IEEE 28th Real-Time and Embedded Technology and Applications Symposium (RTAS)

TL;DR: This paper proposes an extension to the traditional MC scheduling theory to implement fault tolerance strategies against transient faults, with the goal of complying with both failure and timing requirements, and introduces the dropping relationships that generalize the concept of criticality. (via Semantic Scholar)
Sources: Crossref, NC State University Libraries
Added: April 1, 2023

2022 article proceedings

Estimating lower extremity joint angles during gait using reduced number of sensors count via deep learning

(Y. Xie, X. Jiang, W. Tao, & D. Zeng, Eds.).

By: M. Hossain*, H. Choi & Z. Guo*

Ed(s): Y. Xie, X. Jiang, W. Tao & D. Zeng

Event: Fourteenth International Conference on Digital Image Processing (ICDIP 2022)

TL;DR: Deep learning is used to estimate joint angle during gait using only two IMU sensors mounted on participants' shoes under four different walking conditions, i.e., treadmill, overground, stair, and slope, which outperforms the baseline and improves the Root Mean Square Error of joint angle prediction. (via Semantic Scholar)
UN Sustainable Development Goal Categories
11. Sustainable Cities and Communities (OpenAlex)
Sources: Crossref, NC State University Libraries
Added: April 1, 2023

2022 chapter book

Protoformer: Embedding Prototypes for Transformers

TL;DR: Protoformer is a novel self-learning framework for Transformers that can leverage problematic samples for text classification and features a selection mechanism for embedding samples that allows it to efficiently extract and utilize anomalies prototypes and difficult class prototypes. (via Semantic Scholar)
Sources: Crossref, NC State University Libraries
Added: April 1, 2023

2022 article proceedings

Response time analysis for dynamic priority scheduling in ROS2

Presented at the DAC '22: 59th ACM/IEEE Design Automation Conference.

By: A. Arafat*, S. Vaidhun*, K. Wilson*, J. Sun* & Z. Guo*

Event: DAC '22: 59th ACM/IEEE Design Automation Conference

TL;DR: This paper proposes a deadline-based scheduling strategy for the ROS2 executor and presents an analysis for an end-to-end response time of ROS2 workload (processing chain) and an evaluation of the proposed scheduling Strategy for real workloads. (via Semantic Scholar)
Sources: Crossref, NC State University Libraries
Added: April 1, 2023

2022 article proceedings

A Novel Deep Learning Model For Hotel Demand and Revenue Prediction amid COVID-19

Presented at the Hawaii International Conference on System Sciences.

Event: Hawaii International Conference on System Sciences

TL;DR: DemandNet, a novel deep learning framework for predicting time series data under the influence of the COVID-19 pandemic, outperforms the state-of-art models and can accurately predict the effect of theCOVID- 19 pandemic on hotel demand and revenue. (via Semantic Scholar)
Sources: Crossref, NC State University Libraries
Added: April 1, 2023

2022 journal article

Mixed-Criticality Scheduling Upon Permitted Failure Probability and Dynamic Priority

IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, 41(1), 62–75.

By: Z. Guo*, S. Vaidhun*, L. Satinelli*, S. Arefin*, J. Wang* & K. Yang*

TL;DR: The mixed-criticality task model with multiple worst case execution time (WCET) estimations is extended to incorporate system-level certification restrictions, and a 0/1 covariance matrix is introduced to represent the failure dependency between tasks. (via Semantic Scholar)
Source: ORCID
Added: March 26, 2023

2022 journal article

Machine Learning in Real-Time Internet of Things (IoT) Systems: A Survey

IEEE Internet of Things Journal, 9(11), 8364–8386.

TL;DR: This article will rigorously explore the state-of-the-art results emphasizing the strengths and weaknesses in ML/DL-based scheduling techniques, accuracy versus execution time tradeoff policies of ML algorithms, and security and privacy of learning-based algorithms in real-time IoT systems. (via Semantic Scholar)
Source: ORCID
Added: March 26, 2023

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