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Faculty Senate Agenda January 8, 2024, Utah State University

Faculty Senate & Faculty Senate Executive Committee

• 3:00 Call to Order
• 3:05 University Business
• 3:20 Faculty Senate Business
• 3:30 Information

• 3:35 Reports

• 4:00 Old Business

• 4:05 New Business

• Adjourn: 4:30

Electrical Tuning Of Quantum Light Emitters In Hbn For Free Space And Telecom Optical Bands, Akbar Basha Dhu-Al Shaik, Penchalaiah Palla, David Jenkins

School of Engineering, Computing and Mathematics

Quantum light emitters (also known as single photon emitters) are known to be the heart of quantum information technologies. Irrespective of possessing ideal single photon emitter properties, quantum emitters in 2-D hBN defect structures, exhibit constrained quantum light emission within the 300–700 nm range. However, this emission range cannot fully satisfy the needs of an efficient quantum communication applications such as quantum key distribution (QKD), which demands the quantum light emission in fiber optic telecom wavelength bands (from 1260 to 1625 nm) and the free space optical (FSO) (UV-C-solar blind band—100 to 280 nm) wavelength ranges. Hence, there is a …

Fuzzy-Weightedzero-Inconsistency, Fwzic,Multi-Criteria Decision Making, Mcdm, Weighting Methods, Fuzzy Set, Mahmood M. Salih, Rasha A. Yousif

Iraqi Journal for Computer Science and Mathematics

Researchers in various fields have consistently used Multi-Criteria Decision-Making (MCDM) methods for discipline improvement, employing both standard and novel approaches. Selecting a weighting mechanismfor evaluation criteriais critical in MCDM problems. Recognizing the importanceofremaining up to date on such developments in methodology, this study aims to review severalinnovative methods integrated with Fuzzy Weighted Zero Inconsistency (FWZIC). Relying onthe papers taken from the significant databases:IEEE Xplore (IEEE), ScienceDirect (SD), Scopus, and PubMed from 23 August 2023 to 30 October 2023, where each method was read and analyzed for its characteristics and steps. These indexes were deemaed extensive and dependable enough to encompass …

Mobile Augmented Reality Framework In Stem Education: A Systematic Literature Review, Danakorn Nincarean Eh Phon, Nur Fatin Razlieya Binti Mohd Razali

Iraqi Journal for Computer Science and Mathematics

There is a growing concern with preparing a sufficient numberof highly qualified professional in areas of Science, Technology, Engineering and Mathematics (STEM). However, the number of students to reach proficiency and pursue in STEM majors seems to be decreasing. Augmented Reality (AR) is one of the evolving technologies that have potential and effect on learning, especially in STEM education. The aim of this paper is to review and analyzeexisting works that are related to AR in STEM Education. In this study, the common design elements, components or features fordesigning educational AR framework in STEM education were analyzed. This paper determined …

A Novel Deep Learning Approach For Classification Of Bird Sound Using Mel Frequency Cepstral Coefficients, Aymen Saad, Muhammad Mun’Im Ahmad Zabidi, Israa S. Kamil, Usman Ullah Sheikh

Iraqi Journal for Computer Science and Mathematics

Monitoring animal populationsis one important matter to better understand changes in their population, behavior, and biodiversity. Bird sounds are the main tool to classify bird species acoustically. The sounds of birds are an indicator for ecologists as it responds to changes in their environment. The recognition among a variety of bird species to get important features is computationally expensive. With the unbalanced classes and scarcity of training data, the performance accuracy is degrading.This paper aims to classify species ofbirds using lightweight convolutional neural networks (LWCNNs) basis on using a spectrogram image of Brazilian bird sounds as a dataset. For extracting …

Hybrid Honey Badger Algorithm With Artificial Neural Network(Hba-Ann)For Website Phishing Detection, Muhammad Arif Mohamad, Muhammad Aliif Ahmad, Zuriani Mustaffa

Iraqi Journal for Computer Science and Mathematics

Phishing is a sort of cyberattack that refers to the practice of fabricating fake websites that imitate authentic websites in order to trick users into disclosing private information. Identifying these fake sites is challenging due to their deceptive nature as they often mimic legitimate websites, making it difficult for users to distinguish between the real and fake ones. Artificial Neural Network (ANN) is one popular method for website phishing detection. ANN is capable of detecting phishing websites by identifying patterns and characteristics connected to phishing websites through a network training phase. Technically, in the network training phase of ANN, neurons …

The Gompertz Nadarajah-Haghighi (Gonh) Distribution Properties With Application To Real Data, Dalya Dh Ahmed, Mundher A. Khaleel

Iraqi Journal for Computer Science and Mathematics

In this study, we propose a continuous statistical distribution consisting of four parameters based on the Gompertz family called the Gompertz Nadarajah-Haghighi(GoNH) distribution.Adding parameters to the basic distribution provides the distribution with flexibility and efficiency in analysing real-world data.The model that was recently suggested has many mathematical and statistical properties. Explicit formulasfor its moments, moment-generating function, survival function, risk function, characteristic function, quantile function, expansion of pdf, and ordered statistics are only a few of the many mathematical and statistical features of the recently proposed model. The maximum likelihoodestimates (MLE)method was used to estimate the model’s parameters. We conducted varioussimulation …

Adaptive Heterogeneity Index Cloudlet Scheduler For Variable Workload And Virtual Machine Configuration, D Gritto, P Muthulakshmi

Iraqi Journal for Computer Science and Mathematics

Cloud environments often exhibit varying levels of heterogeneity arising from the diverse characteristics of cloudlets and virtual machines. This research paper focuses on addressing this heterogeneity and proposes two scheduling algorithms: the Variance Managed Heuristic Scheduler (VMHS) and theAdaptive Heterogeneity Index Cloudlet Scheduler (AHICS). AHICS aims to minimize makespan, virtual machine underutilization, the degree of load imbalance, and the deviation of completion time among virtual machines. AHICS serves as the main scheduler, while VMHS and MaxMin function as sub-schedulers in this proposed work. This multi-objective AHICS scheduling algorithm harnesses the strengths of both schedulers. AHICS adaptively selects either VMHS or …

Robust Image Watermarking Based On Liftingwavelet Transfrom-Hessenberg Decomposition For Copyright Protection, Ferda Ernawan, Agung Sudrajat, Agit Amrullah

Iraqi Journal for Computer Science and Mathematics

The modern internet technology enables unauthorized individuals to alter the content of digital images. This work introduces a method for enhancing the robustness of an embedded watermark in images using Lifting Wavelet Transform (LWT) and Hessenberg Decomposition. This study utilizes Hessenberg Decomposition (HD) to insert a watermark image into the LL-sub band of the LWT transform. Singular Value Decomposition (SVD) is employed to convert the H value of HD. Subsequently, the watermark imageis put into the singular value. The suggested system underwent testing against a range of image processing assaults, including compression, filters, and noise additions. The testing was conducted …

Improving Security In The 5g-Based Medicalinternet Of Things Toimprove The Qualityofpatient Services, Israa Ibraheem Al_Barazanchi, Kholood J. Moulood, Muneer Sameer Gheni Mansoor, Jamal Fadhil Tawfeq

Iraqi Journal for Computer Science and Mathematics

The Internet of Medical Things (IoMT) is like a tech upgrade that benefits patients by reducing healthcare costs, making medical care more accessible, and improving the quality of treatment. To make IoMT devices smart and capable, they need super-fast 5G support. However, there are security concerns when using IoMT devices that can put a patient's data and privacy at risk. For instance, someone could eavesdrop on your medical data due to weak network access management and data encryption.Many systems use encryption methods to protect data, but these methods often fall short when it comes to the high security standards required …

Effects Of Centella Asiatica (L) Urb. On Cognitive Function In Hypothyroid Mice Offspring, Miski A. Khairinisa, Mohammed Alfaqeeh, Vinda M. Patricia

Pharmacology and Clinical Pharmacy Research

Centella asiatica (C. asiatica) is widely used in traditional medicine due to its numerous health benefits. Among its reputed advantages are improved memory, intelligence, and neural protection. Impairment of cognitive function as a center for memory processing occurs due to perinatal hypothyroidism. Although several studies have shown that C. asiatica extract may improve memory function, the effectiveness of its extract as a memory enhancer for patients with perinatal hypothyroid is less unknown. Therefore, this study aimed to determine the effects of ethanol extract of C. asiatica (EEC) leaf as a memory enhancer in perinatal hypothyroid mice model. C. asiatica leaves …

Pharm-Care Tadulako®: Web-Based Design Application To Improve Pharmaceutical Care Services, Muhammad Faisal, Nuryani Syarifuddin, Rani Purwanti, Putri Natasya, Serli Serli, Yusriadi Yusriadi, Miski A. Khairinisa

Pharmacology and Clinical Pharmacy Research

Pharmaceutical services recently require new ideas and innovation to provide maximum benefit concerning the pharmacological treatments of patients and taking responsibility for the process of monitoring their therapy. One of the efforts proposed to be implemented by pharmacists is the pharmaceutical care program which is designed to ensure pharmacists are able to monitor safe and effective medication use and also to provide timely access to medicines for the population. Moreover, the application of eHealth in terms of technology is expected to be effective, networked, patient-centered, and accessible for patients. Therefore, Pharm-Care Tadulako® which is a personalized eHealth application designed with …

The Effect Of Prebiotic Starch And Pectin From Ambon Banana Peel (Musa Acuminata Aaa) On The Growth Of Skin Microbiota Bacteria In Vitro, Bertha Rusdi, Ratih Aryani, Umi Yuniarni

Pharmacology and Clinical Pharmacy Research

Propionibacterium acnes is a bacteria which causes acne. This bacteria is hypothesized to be inhibited by Staphylococcus epidermidis. Prebiotics have been shown to enhance the number of S. epidermidis and decrease the growth of P. acnes. The prebiotic action of starch and pectin from diverse plant sources is known in the skin microbiome. The prebiotic activity of Ambon banana peel starch and pectin on skin microbiota has not been researched. This study aims to investigate the prebiotic activity of starch and pectin from Ambon banana peels on skin microbiota, represented by S.epidermidis and P.acnes. The results showed …

Radio Measurements Of The Depth Of Air-Shower Maximum At The Pierre Auger Observatory, A. Abdul Halim, P. Abreu, M. Aglietta, I. Allekotte, K. Almeida Cheminant, A. Almela, B. Fick, D. Nitz, K. Nguyen, A. Puyleart, Et Al.

Michigan Tech Publications

The Auger Engineering Radio Array (AERA), part of the Pierre Auger Observatory, is currently the largest array of radio antenna stations deployed for the detection of cosmic rays, spanning an area of 17 km2 with 153 radio stations. It detects the radio emission of extensive air showers produced by cosmic rays in the 30-80 MHz band. Here, we report the AERA measurements of the depth of the shower maximum (Xmax), a probe for mass composition, at cosmic-ray energies between 1017.5 and 1018.8 eV, which show agreement with earlier measurements with the fluorescence technique at the Pierre Auger Observatory. We show …

Demonstrating Agreement Between Radio And Fluorescence Measurements Of The Depth Of Maximum Of Extensive Air Showers At The Pierre Auger Observatory, A. Abdul Halim, P. Abreu, M. Aglietta, I. Allekotte, K. Almeida Cheminant, A. Almela, B. Fick, D. Nitz, K. Nguyen, A. Puyleart, Et Al.

Michigan Tech Publications

We show, for the first time, radio measurements of the depth of shower maximum (Xmax) of air showers induced by cosmic rays that are compared to measurements of the established fluorescence method at the same location. Using measurements at the Pierre Auger Observatory we show full compatibility between our radio and the previously published fluorescence dataset, and between a subset of air showers observed simultaneously with both radio and fluorescence techniques, a measurement setup unique to the Pierre Auger Observatory. Furthermore, we show radio Xmax resolution as a function of energy and demonstrate the ability to make competitive high-resolution Xmax …

Curriculum Subcommittee Minutes January 4, 2024, Utah State University

Educational Policies Committee

• Approval of Minutes - December 7, 2023
• Program Proposals
• Semester Course Approval Reviews
• Other Business
• Adjourn: 2:45 pm

Immersive Framework For Designing Trajectories Using Augmented Reality, Joseph Anderson, Leo Materne, Karis Cooks, Michelle Aros, Jaia Huggins, Jesika Geliga-Torres, Kamden Kuykendall, David Canales, Barbara Chaparro

Publications

The intuitive interaction capabilities of augmented reality make it ideal for solving complex 3D problems that require complex spatial representations, which is key for astrodynamics and space mission planning. By implementing common and complex orbital mechanics algorithms in augmented reality, a hands-on method for designing orbit solutions and spacecraft missions is created. This effort explores the aforementioned implementation with the Microsoft Hololens 2 as well as its applications in industry and academia. Furthermore, a human-centered design process and study are utilized to ensure the tool is user-friendly while maintaining accuracy and applicability to higher-fidelity problems.

Finding A Basic Feasible Solution For Neutrosophic Linear Programming Models: Case Studies, Analysis, And Improvements, Maissam Jdid, Florentin Smarandache

Neutrosophic Systems with Applications

Since the inception of operations research, linear programming has received the attention of researchers in this field due to the many areas of its use. The focus was on the methods used to find the optimal solution for linear models. The direct simplex method, with its three basic stages, begins by writing the linear model in standard form and then finding a basic solution that is improved according to the simplex steps until We get the optimal solution, but we encounter many linear models that do not give us a basic solution after we put it in a standard form, …

Fuzzy Inference Full Implication Method Based On Single Valued Neutrosophic T-Representable T-Norm: Purposes, Strategies, And A Proof-Of-Principle Study, Minxia Luo, Ziyang Sun, Donghui Xu, Lixian Wu

Neutrosophic Systems with Applications

As a generalization of intuitionistic fuzzy sets, single-valued neutrosophic sets have certain advantages in solving indeterminate and inconsistent information. In this paper, we study the fuzzy inference full implication method based on single-valued neutrosophic t-representable t-norm. Firstly, single-valued neutrosophic fuzzy inference triple I principles for fuzzy modus ponens and fuzzy modus tollens are given. Then, single-valued neutrosophic R-type triple I solutions for FMP and FMT are given. Finally, the robustness of the full implication triple I method based on the left-continuous single-valued neutrosophic t-representable t-norm is investigated. As a special case of the main results, the sensitivity of full implication …

Pairing New Approach Of Tree Soft With Mcdm Techniques: Toward Advisory An Outstanding Web Service Provider Based On Qos Levels, Sara Fawaz Al-Baker, Ibrahim El-Henawy, Mona Mohamed

Neutrosophic Systems with Applications

Web services (WSs) have become dynamic because of technological advancements and internet usage. Hence, selecting a WS provider among a variety of WS providers that perform the same function is a critical process. However, the crucial point is that various consumers may have varied needs when it comes to the quality attributes of services, such as cost, response time, throughput, security, availability, etc. These aspects of Web services are known as quality of service (QoS), or non-functional characteristics. Hence, this issue is the robust motivator for conducting this study. The objective of this study is to evaluate a set of …

Forecasting Foreign Tourist Arrivals In India: A Strategic Analysis For Sustainable Religious Tourism Growth, Vishwajeet Singh, Dr. Taruna, Tarushree Bari, Subhash Kumar Yadav

International Journal of Religious Tourism and Pilgrimage

The exponential growth of the tourism industry in India significantly impacts the nation’s economic landscape. This study presents an analysis of tourism arrival trends from 2000 to 2019 to forecast foreign tourist arrivals, aligning with the broader scope of religious tourism and pilgrimage. Employing the Box-Jenkins methodology, the research aims to project short-term forecasts for inbound tourism. Diverse modelling techniques are explored to capture the nuances of the time series data, including the assessment of stationarity using the Dickey-Fuller Test to discern underlying trends. The study culminates in identifying the A.R.I.M.A (0, 1, 1) model with drift as the most …

A Machine Learning Algorithms For Detecting Phishing Websites: A Comparative Study, Dr. Mohammed A. Taha, Haider D. A. Jabar, Widad K. Mohammed

Iraqi Journal for Computer Science and Mathematics

Phishing website attacks are a type of cyber-attack in which perpetrators create fraudulent websites that mimic legitimate platforms, such as online banking or social media, with the intent of tricking unsuspecting users into divulging sensitive information. This includes passwords, credit card details, usernames, and other personal data. These phishing websites aredesigned to look authentic and often employ various techniques, such as URL spoofing, social engineering, and email or text message phishing, to lure victims into revealing their confidential information. Web apps are growing increasingly complex and difficult to identify at first glance, especially when they use encryption and obfuscation techniques. …

Enhancing Efficiency And Fine-Grained Control In Redactable Blockchains With Epbchf, Mohd Najwadi Yusoff, Shams Mhmood Abd Ali, Hasan Falah Hasan

Iraqi Journal for Computer Science and Mathematics

Blockchain technology has presented a promisingdecentralized paradigm to precludetrusted third parties' dominancy. It is a transparent and distributed ledger initially designed for digital cryptocurrencies while currently extended to servevarious industries. However, Blockchain immutability presents challenges, as it can be misused for storing illicit content, violating privacy regulations,and limiting data management flexibility. Policy Based Chameleon Hash Function (PBCH) has transformed blockchain rewriting contents concept via permitting modifiers to amend certain transaction since they possessed fundamental privileges satisfying certain access policy. However, PBCHFsuffers from efficiency issues due to its relianceon Chameleon Hash ephemeral Trapdoor (CHET) and Attribute-Based Encryption (ABE), significantly impacting overall …

A Review Of The Integration Between Geospatial Artificial Intelligence And Remote Sensing, Abeer A. Mohamad Alshiha

Iraqi Journal for Computer Science and Mathematics

Experts have extensively explored the advantages and applications of modern artificial intelligence (AI) algorithms across various domains. Geomatics data processing is no exception, as AI offers significant opportunities in this field. However, understanding how AI can be customized or developed to meet the unique requirements of geomatics data is crucial. Integrating AI techniques into geomatics has given rise to Geospatial Artificial Intelligence (GeoAI), a novel approach to uncovering geographicinformation. Nevertheless, there remains a shortage of comprehensive research on the specific applications of AI in geospatial contexts. Consequently, this study aimsto establish AI-based methodologies for the analysis and interpretation of complex …

New Structures Of Soft Permutation In Commutative Q-Algebras, Moataz Sajid Sharqi, Shuker Khalil

Iraqi Journal for Computer Science and Mathematics

This paper contributes to the theory of soft sets. It investigates soft permutation commutative Q-algebras and their applications.A new method of combining permutation sets with soft sets is utilized to investigate new classes of algebra,includingsoft permutation commutative Q-algebra, soft permutation commutative G-part, and soft permutation commutative p-semisimple. This study elucidates an approach to find arelationship between the chemical structure of the atoms for some elements, like silveratom,sodium atom, and chlorine atomand some of our ideas presented here. Furthermore,we demonstratethat if (N,M)is a soft permutation commutative Q-algebra of (��,×,��)and the associative law is held for any ������,������,������∈��(������), then (��(������),×)is a group,∀������∈��. …

Emotion Recognition Using Various Measures And Computational Methods: Review, Abir Hamrouni, Fatima Bendella

Iraqi Journal for Computer Science and Mathematics

Emotion recognition has garnered significant attention as a burgeoning research domain, owing to its potential applications across diverse fields such ashuman-computer interaction, affective gaming, marketing, and human-robotinteraction.Accurately interpreting and appropriately responding to human emotions remains a critical challenge in the development of systems. This obstacle necessitates a thoroughunderstanding of emotions to enhance user experiences within suchsystems.This paper conducts a comprehensive review focusing on advancements in emotion recognition techniques, with an emphasis on leveraging a variety of sensors and computational methods. Our study findingshighlight the significantimprovement to emotion recognition accuracy when multiple measures and computational methods, rather than a single modality, …

Taxonomy, Open Challenges, Motivations, And Recommendations In Driver Behavior Recognition: A Systematic Review, Mohamed A. Ahmed, Mohammed Basim Omar, Harith A. Hussein, Z.T Al Qaysi, Mahmood M. Salih, S A. Hamddi, Qabas A. Hameed, Reem D. Ismail

Iraqi Journal for Computer Science and Mathematics

Driver behavior has a major role in many of the unpleasant things that happen when driving, such as crashes or accidents, heavy traffic, abrupt braking, and acceleration and deceleration. Numerous investigations have been carried out to look into the variables influencing driving behavior. To offer a thorough analysis and classify these findings according to a logical classification, further research is required. The goal of this systematic review is to enhance knowledge about the variables influencing driving behavior. A taxonomy on the subject of driver behavior in various ITS domains and their categories was also produced by this work.A systematic review …

Intelligent Household Load Identification Using Multilevel Random Forest On Smart Meters, Israa Badr Al-Mashhadani, Waleed Khaled

Iraqi Journal for Computer Science and Mathematics

A load identification approach for residential intelligent meters using a random forest (RF) algorithm isemployed to guarantee the secure and cost-effective functioning of the electricity grid. In this study, the load data from a smart meter in a home was pre-processed to remove any gaps, noise, or inconsistencies before making any predictions byusing the random forest method. Thepower quality (PQ)features, current features, and Voltage-Current (V-I features), as well as the forecast findings and mathematical tools were used to recognise the load. Using these tools, thehousehold intelligent meters utilising the random forest algorithm, features, harmonic characteristics, and instantaneous characteristics were extracted …

Fuzzy Inference Full Implication Method Based On Single Valued Neutrosophic T-Representable T-Norm: Purposes, Strategies, And A Proof-Of-Principle Study, Minxia Luo, Ziyang Sun, Donghui Xu, Lixian Wu

Neutrosophic Systems with Applications

As a generalization of intuitionistic fuzzy sets, single-valued neutrosophic sets have certain advantages in solving indeterminate and inconsistent information. In this paper, we study the fuzzy inference full implication method based on single-valued neutrosophic t-representable t-norm. Firstly, single-valued neutrosophic fuzzy inference triple I principles for fuzzy modus ponens and fuzzy modus tollens are given. Then, single-valued neutrosophic R-type triple I solutions for FMP and FMT are given. Finally, the robustness of the full implication triple I method based on the left-continuous single-valued neutrosophic t-representable t-norm is investigated. As a special case of the main results, the sensitivity of full implication …

Homotopy Analysis Method For Solving Fuzzy Nonlinear Volterra Integral Equation Of The Second Kind, Rana Hussein, Moez Khenissi

Iraqi Journal for Computer Science and Mathematics

This paper introduces the homotopy analytic HAM, an effective and reliable method for solving computationally challenging fuzzy Volterra nonlinear integral equations of the second type. Numerical examples are provide to demonstrate the accuracy of HAM. To check for existence and uniqueness, the study employs the Banach fixed point theory and homotopy analysis. Finally the studyresolves our issue using the MAPLE programme