Digital Commons Network^™

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 …

Design And Development Of Iot-Enabled Power Management System For Smart Home With Enhanced Security Feature, Indu Bala, Bhukya Arun Kumar

Iraqi Journal for Computer Science and Mathematics

This article presents a proposed architecture for a smart and secure home automation system that incorporates advanced Internet of Things (IoT) capabilities. The system under consideration has been developed with the objective of maximizing the efficiency of power consumption in domestic electrical appliances. By employing a continuous monitoring mechanism for the power consumption of individual devices, this system serves the twin purpose of mitigating the risk of short circuits resulting from excessive electrical loads and enabling users to monitor the energy consumption of each appliance. Consequently, it facilitates the efficient management of billing processes. The proposed model utilizes Internet of …

Development Of Synthetic Data Generator For Ornament Based On Data Mining Techniques, Ahmed Hussein Ali, Saad Ahmed Dheyab, Rasha Talal Hameed

Iraqi Journal for Computer Science and Mathematics

Artificial intelligence tools depend on generating various images on the available datasets, but there is a lot of data that is not completely available, especially images of heritage and archaeological ornament. In this paper, a tool was developed to generate ornament based on the geometric shapes of heritage ornaments. A group of basic geometric shapes was collected. The new ornament are reshaped in three stages, relying on the permutation equation and reshaping of the overlapping sizes of the shapes, In the first stage, the number of layers that make up the ornament is determined. In the second stage,the formation of …

Healthcare Privacy-Preserving Federated Transfer Learning Using Ckks-Based Homomorphic Encryption And Pyhfeltool, Anmar A. Al-Janabi, Sufyan Al Janabi, Belal Al Khateeb

Iraqi Journal for Computer Science and Mathematics

Digitization of healthcare data has shown an urgent necessity to deal with privacy concerns within the fieldof deep learning for healthcare organizations. A promising approach is federated transfer learning, enabling medical institutions to train deep learning models collaboratively through sharing model parameters rather than raw data. The objective of this research is to improve the current privacy-preserving federated transfer learning systems that use medical data by implementing homomorphic encryption utilizing PYthon for Homomorphic Encryption Libraries (PYFHEL). The study leverages a federated transfer learning model to classify cardiac arrhythmia. The procedure begins by converting raw Electrocardiogram (ECG) scans into 2-D ECG …

Automatic Temperature Control System Using African Vultures Optimization Algorithm, Mostafa Abdulghafoor Mohammed, Muntadher Khamees, Dina Hassan Abbas

Iraqi Journal for Computer Science and Mathematics

One of the most important tasks in control engineering is tuning a PID controller for maximum efficiency. However, without a great deal of practice, manual adjustment of PID settings might result in erroneous results. Using met heuristic algorithms is one method for tweaking the PID controller. These algorithms, which are inspired bythe laws of nature, can effectively find the sweet spot for the PID settings. Therefore, instead of manually tweaking the PID controller, using met heuristic methods can greatly enhance the system's performance while decreasing the related expenses. A reliable temperature control system is crucial to the production of a …

Enhanced Cancer Subclassification Using Multi-Omics Clustering And Quantum Cat Swarm Optimization, Mazin Abed Mohammed, Ali Mahmoud Ali

Iraqi Journal for Computer Science and Mathematics

Integrating multiple omics data can significantly improve the accuracy of cancer subclassification, a challenging task due to the high dimensionality and limited sample sizes. The integration of these data sets can enhance model performance. This study addresses these challenges by employing Quantum Cat Swarm Optimization (QCSO) for feature selection, along with K-means clustering and Support Vector Machine (SVM) for classification. Using QCSO, the most significant features were identified, resulting in an increase in accuracy from 81% to100%. Performance was evaluated using accuracy, F1-score, precision, recall, ROC, and the silhouette metric, all of which confirmed the effectiveness of the feature selection …

Soft Computing-Based Generalized Least Deviation Methodalgorithm For Modeling And Forecasting Covid-19 Usingquasilinear Recurrence Equations, Mostafa Abotaleb

Iraqi Journal for Computer Science and Mathematics

This study introduces an advanced algorithm based on the Generalized Least Deviation Method(GLDM) tailored for the univariate time series analysis of COVID-19 data. At the core of this approach is theoptimization of a loss function, strategically designed to enhance the accuracy of the model’s predictions. Thealgorithm leverages second-order terms, crucial for capturing the complexities inherent in time series data. Ourfindings reveal that by optimizing the loss function and effectively utilizing second-order model dynamics, there is amarked improvement in the predictive performance. This advancement leads to a robust and practical forecasting tool,significantly enhancing the accuracy and reliability of univariate time series …

Designing And Implementing An Ecg Reader And Heart Disease Classification Device Using Deep Learning (Comprehensive Review), Ghasaq Saad Jameel, M N. Al-Turfi, Dr. Hussain Falih Mahdi, Saba Nasser Hussain

Iraqi Journal for Computer Science and Mathematics

Cardiovascular cases remain a significant health care concern, necessitating new development methods for their prompt and accurate identification where a promising advancements is demonstrated using Deep Learning (DL) in automating heart anomalies detection, including irregular heartbeats, heart attacks, and abnormal heart rhythms, through the analysis of electrocardiogram (ECG) signals, which guided this article to explore the integration of DL methodologies in examining ECG data to enhance the diagnosis of various cardiac ailments and delves into the development of novel ECG devices designed to facilitate efficient data acquisition while ensuring patient comfort and accessibility.The devices used must provide real-time monitoring, seamless …

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 …

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.

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 …

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

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 …

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 …

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

A Generating Distorted Captcha Images Using A Machine Learning Algorithm, Saba Abdulbaqi Salman, Yasmin Makki Mohialden, Nadia Mahmood Hussien

Iraqi Journal for Computer Science and Mathematics

CAPTCHAs (Completely Automated Public Turing Test to Tell Computers and Humans Apart) have become universal in web security systems to differentiate between automated bots and human users. This research presents a novel approach for generating and classifying distorted CAPTCHA images utilizing machine learning techniques. The process involvesdeveloping a random text and rendering it onto an image, introducing distortion for security. The proposed method involves developing CAPTCHA images by combining text rendering and controlled distortion techniques. These images are then utilized to train a random forest classifier for accurate recognition. A Random Forest classifier is employed to recognize the generated CAPTCHA …

Convex Optimization Techniques For High-Dimensional Data Clustering Analysis: A Review, Ahmed Yacoub Yousif, Basad Al Sarray

Iraqi Journal for Computer Science and Mathematics

Clustering techniques have been instrumental in discerning patterns and relationships within datasets in data analytics and unsupervised machine learning. Traditional clustering algorithms struggle to handle real-world data analysis problems where the number of clusters is not readily identifiable. Moreover, they face challenges in determining the optimal number of clusters for high-dimensional datasets. Consequently, there is a demand for enhanced, adaptable and efficient techniques. Convexclustering, rooted in a rich mathematical framework, has steadily emerged as a pivotal alternative to traditional techniques. It amalgamates the strengths of conventional approaches while ensuring robustness and guaranteeing globally optimal solutions. This review offers an in-depth …

Sumer: A New Family Of Lightweight And Traditional Block Ciphers With Multi-Modes, Omar A. Dawood

Iraqi Journal for Computer Science and Mathematics

With the recent increase in the risks and attacks facing our dailylives and digital environment around us,the trend towards securing data has become inevitable. Block ciphers play a crucial role in modern crypto-applications such assecure network storageandsignatures and are used to safeguard sensitive information. The present paper develops a new variant of the symmetric model called SUMER family ciphers with three equivalent modes:lightweight, conventional (traditional), and extended ciphers. SUMER name belongs to one of the oldest civilizationsin Mesopotamia andstands for SecureUniversalModel of EncryptionRobustCipher. The SUMER cipher is based on a simple and robust symmetric structure and involves solid algebraic theories …

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,∀������∈��. …