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155 Matching Results
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An Efficient Code-Based Threshold Ring Signature Scheme With a Leader-Participant Model
This paper proposes a novel code-based threshold ring signature scheme with a leader-participant model.
Date:
March 23, 2017
Creator:
Zhou, Guomin; Zeng, Peng; Yuan, Xiaohui; Chen, Siyuan & Choo, Kim-Kwang Raymond
System:
The UNT Digital Library
Electroencephalogram Signals for Detecting Confused Students in Online Education Platforms with Probability-Based Features
Article discusses how despite the advantages of online education, it lacks face-to-face settings, which makes it very difficult to analyze the students’ level of interaction, understanding, and confusion. This study proposes a novel engineering approach that uses probability-based features (PBF) for increasing the efficacy of machine learning models.
Date:
September 9, 2022
Creator:
Daghriri, Talal; Rustam, Furqan; Aljedaani, Wajdi; Bashiri, Abdullateef H. & Ashraf, Imran
System:
The UNT Digital Library
Epidemiological modelling of vaccination and reduced funeral rites interventions on the peproduction number, Râ‚€ of Ebola virus disease in West Africa
This article examines the impacts of control measures on the reproduction number of the Ebola virus using a mathematically-based computational model. Specifically, the authors study the effects of vaccination and reduced funeral rites. This model could be used to forecast the duration of an Ebola epidemic in any country.
Date:
July 25, 2018
Creator:
Akwafuo, Sampson; Guo, Xuan & Mikler, Armin R.
System:
The UNT Digital Library
Erratum for Vilo et al., Draft Genome Sequence of Cupriavidus sp. Strain SK-3, a 4-Chlorobiphenyl- and 4-Chlorobenzoic Acid-Degrading Bacterium
Erratum for the article "Draft Genome Sequence of Cupriavidus sp. Strain SK-3, a 4-Chlorobiphenyl- and 4-Chlorobenzoic Acid-Degrading Bacterium".
Date:
July 31, 2014
Creator:
Vilo, Claudia A.; Benedik, Michael J.; Ilori, Matthew Olusoji & Dong, Qunfeng
System:
The UNT Digital Library
Evaluating player task engagement and arousal using electroencephalography
This paper from the 6th International Conference on Applied Human Factors and Ergonomics and the Affiliated Conference, AHFE 2015 conference proceedings coordinate task engagement data with arousal-valence data for application to expressive transformations to video game play in real time by tuning different performance parameters in an Engagement-Arousal rule system.
Date:
October 23, 2015
Creator:
McMahan, Timothy; Parberry, Ian & Parsons, Thomas D.
System:
The UNT Digital Library
Evaluating spatial patterns of seasonal ozone exposure and incidence of respiratory emergency room visits in Dallas-Fort Worth
This article examines the relationships between spatial patterns of long-term ozone exposure and respiratory illness within Dallas-Fort Worth to better understand impacts on health outcomes.
Date:
April 13, 2021
Creator:
Northeim, Kari; Marks, Constant & Tiwari, Chetan
System:
The UNT Digital Library
Evaluation of the RDP Classifier Accuracy Using 16S rRNA Gene Variable Regions
This article uses full-length 16S rRNA gene alignments from the SILVA database to simulate the PCR products of the combined variable regions.
Date:
March 12, 2012
Creator:
Vilo, Claudia A. & Dong, Qunfeng
System:
The UNT Digital Library
Event-Driven Deep Learning for Edge Intelligence (EDL-EI)
Article on deep-learning framework for edge intelligence EDL-EI (event-driven deep learning for edge intelligence). To verify the proposed framework, the authors include a case study of air-quality scenarios based for the most polluted cities in South Korea and China.
Date:
September 8, 2021
Creator:
Shah, Sayed Khushal; Tariq, Zeenat; Lee, Jeehwan & Lee, Yugyung
System:
The UNT Digital Library
An Experiment-Based Review of Low-Light Image Enhancement Methods
Article reviews the current techniques of low-light image enhancement.
Date:
May 6, 2020
Creator:
Yuan, Xiaohui; Wang, Wencheng; Wu, Xiaojin & Guo, Zairui
System:
The UNT Digital Library
An experimental design to study decommitment in a collaborative multi-agent system in a scheduling domain
This article describes the theoretical background and experimental design of new research based on previous multi-agent research on collaborative agents. The research extends the concept of agent decommitment into a resource scheduling domain. The problem is no longer time constrained, however, the number of agents is increased dramatically. The actual experimentation is yet to be performed. The authors state that results of the experimentation will be reported in a future article.
Date:
October 4, 2017
Creator:
Van Dyne, Michele & Tsatsoulis, Costas
System:
The UNT Digital Library
Exploring Edge Computing in Multi-Person Mixed Reality for Cooperative Perception
Article and accompanying poster presenting a prototype for the use of Edge with MR devices to provide cooperative perception capability to the MR device.
Date:
June 25, 2020
Creator:
Tang, Sihai; Chen, Bruce (Haidi); Hochstetler, Jacob; Hirsch, Jason & Fu, Song
System:
The UNT Digital Library
Fabric Defect Detection Using Activation Layer Embedded Convolutional Neural Network
This article develops a deep-learning algorithm for an on-loom fabric defect inspection system by combining the techniques of image pre-processing, fabric motif determination, candidate defect map generation, and convolutional neural networks (CNNs).
Date:
April 29, 2019
Creator:
Ouyang, Wenbin; Xu, Bugao; Hou, Jue & Yuan, Xiaohui
System:
The UNT Digital Library
Feasibility of PROMIS using computerized adaptive testing during inpatient rehabilitation
Article describes how there has been an increased significance on patient-reported outcomes in clinical settings. The authors aimed to evaluate the feasibility of administering patient-reported outcome measures by computerized adaptive testing (CAT) using a tablet computer with rehabilitation inpatients, assess workload demands on staff, and estimate the extent to which rehabilitation inpatients have elevated T-scores on six Patient Reported Outcomes Measurement Information System (PROMIS) measures.
Date:
May 10, 2023
Creator:
Rafiq, Riyad Bin; Yount, Susan; Jerousek, Sara; Roth, Elliot J.; Cella, David; Albert, Mark et al.
System:
The UNT Digital Library
Fine-Grained Emotion Detection in Health-Related Online Posts
This article detects fine-grained emotion types from health-related posts and shows how high-level and abstract features derived from deep neural networks combined with lexicon-based features can be employed to detect emotions.
Date:
2018
Creator:
Khanpour, Hamed & Caragea, Cornelia
System:
The UNT Digital Library
FlexiChain 3.0: Distributed Ledger Technology-Based Intelligent Transportation for Vehicular Digital Asset Exchange in Smart Cities
Article describes how, due to the enormous amounts of data being generated between users, Intelligent Transportation Systems (ITS) are complex Cyber-Physical Systems that necessitate a reliable and safe infrastructure. In this work, the authors explore Distributed Ledger Technology (DLT) and collect data about consensus algorithms and their applicability to be used in the IoV as the backbone of ITS.
Date:
April 19, 2023
Creator:
Alkhodair, Ahmad; Mohanty, Saraju P. & Kougianos, Elias
System:
The UNT Digital Library
Flight Control Subsystem
Paper describes a project with the goal of designing and prototyping a small-scale unmanned aerial vehicle (UAV), offering dual-channel real-time video, data logging, and waypoint tracking.
Date:
2010
Creator:
Williams, Jennifer; Bratton, David; Jones, Aaron; Anderson, Alyse; Befort, Jonathan; Lowe, Ryan et al.
System:
The UNT Digital Library
FZ-GPU: A Fast and High-Ratio Lossy Compressor for Scientific Computing Applications on GPUs
Article describes how today's large-scale scientific applications running on high-performance computing (HPC) systems generate vast data volumes. Thus, data compression is becoming a critical technique to mitigate the storage burden and data-movement cost. In this paper, the authors develop a fast and high- ratio error-bounded lossy compressor on GPUs for scientific data (called FZ-GPU).
Date:
August 7, 2023
Creator:
Zhang, Bouyan; Tian, Jiannan; Di, Sheng; Yu, Xiaodong; Feng, Yunhe; Liang, Xin et al.
System:
The UNT Digital Library
GaussianCpG: a Gaussian model for detection of CpG island in human genome sequences
The article discusses crucial markers in identifying biological elements and processes in mammalian genomes, CpG islands (CGI) that play important roles in DNA methylation, gene regulation, epigenetic inheritance, gene mutation, chromosome inactivation and nuclesome retention. A novel Gaussian model, GaussianCpG, is developed for detection of CpG islands on human genome. Their Gaussian model aims to simplify the complex interaction between nucleotides.
Date:
May 24, 2017
Creator:
Yu, Ning; Guo, Xuan; Zelikovsky, Alexander & Pan, Yi
System:
The UNT Digital Library
A Gaze into the Internal Logic of Graph Neural Networks, with Logic
Article exploring graph node property prediction. Originally presented as part of the application track at the 38th International Conference on Logic Programming in Haifa, Israel.
Date:
August 4, 2022
Creator:
Tarau, Paul
System:
The UNT Digital Library
Genome-Resolved Proteomic Stable Isotope Probing of Soil Microbial Communities Using 13CO2 and 13C-Methanol
Article describes experiment where proteomic sable isotope probing (SIP) was combined with targeted metagenomic binning to reconstruct metagenome-assembled genomes (MAGs) of the microorganisms producing labeled proteins. Carbon flows were tracked from 13CO2 to the rhizosphere communities of Zea mays, Triticum aestivum, and Arabidopsis thaliana.
Date:
December 6, 2019
Creator:
Li, Zhou; Yao, Qiuming; Guo, Xuan; Crits-Christoph, Alexander; Mayes, Melanie A.; Hervey, William Judson IV et al.
System:
The UNT Digital Library
Glycosylation site prediction using ensembles of Support Vector Machine classifiers
Article discussing the performance of different computational methods for prediction of glycosylation sites from amino acid sequences.
Date:
November 9, 2007
Creator:
Caragea, Cornelia; Sinapov, Jivko; Silvescu, Adrian; Dobbs, Drena & Honavar, Vasant
System:
The UNT Digital Library
Helpful or Hierarchical? Predicting the Communicative Strategies of Chat Participants, and their Impact on Success
Article studies the communication styles present in chat interactions of thousands of aspiring entrepreneurs who discuss and develop business models. The authors find that these styles can be reliably predicted, and that the communication styles can be used to predict a number of indices of business success.
Date:
November 2020
Creator:
Rashid, Farzana; Blanco, Eduardo; Fornaciari, Tommaso; Hovy, Dirk & Vega-Redondo, Fernando
System:
The UNT Digital Library
Hidden Markov model-based activity recognition for toddlers
Article describes study which sought to evaluate methods for activity recognition for toddlers.
Date:
March 5, 2020
Creator:
Albert, Mark; Sugianto, Albert; Nickele, Katherine; Zavos, Patricia; Sindu, Pinky; Ali, Munazza et al.
System:
The UNT Digital Library
Identifying Degree and Sources of Non-Determinism in MPI Applications Via Graph Kernels
This article proposes a software framework for identifying the percentage and sources of communication non-determinism.
Date:
May 18, 2021
Creator:
Chapp, Dylan; Tan, Nigel; Bhowmick, Sanjukta & Taufer, Michela
System:
The UNT Digital Library