Browsing Carlos Alvarez College of Business Faculty Research by Title
Now showing items 1-20 of 28
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A Novel Certificateless Signature Scheme for Smart Objects in the Internet-of-Things
(5/1/2017)Rapid advances in wireless communications and pervasive computing technologies have resulted in increasing interest and popularity of Internet-of-Things (IoT) architecture, ubiquitously providing intelligence and convenience ... -
A Study of the Triggers of Conflict and Emotional Reactions
(4/20/2017)We study three triggers of conflict and explore their resultant emotional reactions in a laboratory experiment. Economists suggest that the primary trigger of conflict is monetary incentives. Social psychologists suggest ... -
A Study on the X ¯ and S Control Charts with Unequal Sample Sizes
(5/2/2020)The control charts based on <inline-formula> <math display="inline"> <semantics> <mover accent="true"> <mi>X</mi> <mo stretchy="false">¯</mo> </mover> </semantics> </math> </inline-formula> and <i>S</i> are widely ... -
Application of the Cox Proportional Hazards Model for the Quantitative Analysis of LC-MS Proteomics Data
(The UTSA Journal of Undergraduate Research and Scholarly Work;Volume 5The UTSA Journal of Undergraduate Research and Scholarly Work;Volume 5, 2019)Along with quantitative, analytical genomics, proteomics continues to be a growing field for determining the gene and cellular functions at the protein level. As the liquid chromatography mass spectrometryphy (LC-MS) ... -
Classical and Bayesian Inference of a Progressive-Stress Model for the Nadarajah–Haghighi Distribution with Type II Progressive Censoring and Different Loss Functions
(2022-05-08)Accelerated life testing (ALT) is a time-saving technology used in a variety of fields to obtain failure time data for test units in a fraction of the time required to test them under normal operating conditions. This study ... -
Comparison of Gene Set Analysis with Various Score Transformations to Test the Significance of Sets of Genes
(The UTSA Journal of Undergraduate Research and Scholarly Work;Volume 4, 2018)Microarray analysis can help identify changes in gene expression which are characteristic to human diseases. Although genomewide RNA expression analysis has become a common tool in biomedical research, it still remains a ... -
Comparison of Regression Methods to Identify Differential Expression in RNA-Sequencing Count Data from the Serial Analysis of Gene Expression
(The UTSA Journal of Undergraduate Research and Scholarly Work;Volume 5, 2019)Comparative RNA-sequencing analysis for the Serial Analysis of Gene Expression (SAGE) can help identify changes in gene expression which are characteristic to human diseases. Since the RNA-sequencing experiment measures ... -
Deep Learning-Based Intrusion Detection for Distributed Denial of Service Attack in Agriculture 4.0
(5/25/2021)Smart Agriculture or Agricultural Internet of things, consists of integrating advanced technologies (e.g., NFV, SDN, 5G/6G, Blockchain, IoT, Fog, Edge, and AI) into existing farm operations to improve the quality and ... -
Emerging Technologies for Future Sensor Networks—Selected Papers from ICGHIT 2019
(9/6/2019)The International Conference on Green and Human Information Technology (ICGHIT) is an international conference focusing on green and information technologies oriented toward humanity [...] -
Ensemble-based multi-filter feature selection method for DDoS detection in cloud computing
(EURASIP Journal on Wireless Communications and Networking;130, 2016-05-10)Widespread adoption of cloud computing has increased the attractiveness of such services to cybercriminals. Distributed denial of service (DDoS) attacks targeting the cloud’s bandwidth, services and resources to render the ... -
Impact and Key Challenges of Insider Threats on Organizations and Critical Businesses
(9/7/2020)The insider threat has consistently been identified as a key threat to organizations and governments. Understanding the nature of insider threats and the related threat landscape can help in forming mitigation strategies, ... -
Load-Sharing Model under Lindley Distribution and Its Parameter Estimation Using the Expectation-Maximization Algorithm
(11/22/2020)A load-sharing system is defined as a parallel system whose load will be redistributed to its surviving components as each of the components fails in the system. Our focus is on making statistical inference of the parameters ... -
Mean Equality Tests for High-Dimensional and Higher-Order Data with k-Self Similar Compound Symmetry Covariance Structure
(2022-02-01)An extension of the D2 test statistic to test the equality of mean for high-dimensional and k-th order array-variate data using k-self similar compound symmetry (k-SSCS) covariance structure is derived. The k-th order ... -
More on the Supremum Statistic to Test Multivariate Skew-Normality
(2021-11-29)This review is about verifying and generalizing the supremum test statistic developed by Balakrishnan et al. Exhaustive simulation studies are conducted for various dimensions to determine the effect, in terms of empirical ... -
Novel Numerical Spiking Neural P Systems with a Variable Consumption Strategy
(3/20/2021)A novel variant of NSN P systems, called numerical spiking neural P systems with a variable consumption strategy (NSNVC P systems), is proposed. Like the spiking rules consuming spikes in spiking neural P systems, NSNVC P ... -
Optimal Coordination Strategy for International Production Planning and Pollution Abating under Cap-and-Trade Regulations
(9/19/2019)Because both pollution emissions and production policies often are international in scope, it is necessary to find optimal coordination strategies for international production planning and pollution abating. Differential ... -
Optimal Dynamic Treatment Regime by Reinforcement Learning in Clinical Medicine
(The UTSA Journal of Undergraduate Research and Scholarly Work;Volume 7, 2020-12)Precision medicine allows personalized treatment regime for patients with distinct clinical history and characteristics. Dynamic treatment regime implements a reinforcement learning algorithm to produce the optimal ... -
Participatory sensing-based semantic and spatial analysis of urban emergency events using mobile social media
(EURASIP Journal on Wireless Communications and Networking volume;44, 2016-02-09)With the advances of information communication technologies, it is critical to improve the efficiency and accuracy of emergency management systems through modern data processing techniques. Geographic information system ... -
Predicting the Expected Waiting Time of Popular Attractions in Walt Disney World
(The UTSA Journal of Undergraduate Research and Scholarly Work;Volume 6, 2019)Waiting lines are inevitable consequence of imbalance in service operations at modern theme parks. Because of that, parks have introduced different approaches to reduce standard waiting time; some of which are at no extra ... -
Predicting the Next Big Impact: Modelling the Rate of Massive Meteorite Strikes
(The UTSA Journal of Undergraduate Research and Scholarly Work;Volume 7, 2020-12)Meteorites are solid pieces of debris from an astronomical object such as a comet, asteroid, or meteoroid that originates in outer space and survives its passage through the atmosphere to reach the surface of a planet. ...