Computer Sciences Commons^™

Approximate Computing With Emerging Devices, Richard Atherton

Maseeh Summer Undergraduate Research Experience

Approximate computation is a new trend that explores and harnesses trade-offs between the precision and energy/power consumption of computing systems. In this project a feed-forward neural network was designed as well as several reservoir networks using different network topologies to compare the accuracy and resilience of the network against the computational complexity required.

Cyber Supply Chain Risk Management: Toward An Understanding Of The Antecedents To Demand For Assurance, Clark Hampton, Steve G. Sutton, Vicky Arnold, Deepak Khazanchi

Information Systems and Quantitative Analysis Faculty Publications

Recognizing the need for effective cyber risk management processes across the supply chain, the AICPA issued a new SOC in March 2020 for assuring cyber supply chain risk management (C-SCRM) processes. This study examines supply chain relationship factors and cyber risk issues to better understand the demand for C-SCRM assurance. Resource-Advantage Theory of Competition provides the conceptual foundation for assessing the dual drivers of relationship building and cyber risk management on demand for assurance. We use a field survey to collect data from 205 professionals enabling evaluation of the complex relationships in the theoretical model. Results support all hypotheses, provide …

A Fuzzy Assessment Model For Hospitals Services Quality Based On Patient Experience, Mohamed Khodyer Alkafaji, Eman Salih Al-Shamery

Karbala International Journal of Modern Science

The patient's experience is a lens for services assessment that provide from healthcare institutions because the patient is the first and the last recipient for the service. The patient's experience carries a lot of uncertainty and an ultimate decision cannot be taken from the patient about the services, but it carries the partial truth. Many artificial intelligence technologies deal with the concept of partial truth, such as genetic algorithms and neural networks, but the fuzzy logic remains pioneering to deal with uncertainty. This paper aims to develop an assessment model by using fuzzy inference that is able to assess the …

A Systematic Mapping Study On The Risk Factors Leading To Type Ii Diabetes Mellitus, Karar N. J Musafer, Fahrul Zaman Huyop, Mufeed J Ewadh, Eko Supriyanto, Mohammad Rava

Karbala International Journal of Modern Science

Diabetes is one of the most common diseases that has had devastating effects on the general population. It is also among the most popular research trends in modern medicine. Thus, due to the complexity and desirability of this particular affliction, there is a lot of demand towards understanding this disease better, so that it can pave the way towards better solutions in combating diabetes. The aim of this review is to provide a categorization of the risk factors leading to Type II Diabetes. In order to provide a justification for the type of diabetes, an explanation is provided which covers …

A Novel Energy-Efficient Sensor Cloud Model Using Data Prediction And Forecasting Techniques, Kalyan Das, Satyabrata Das, Aurobindo Mohapatra

Karbala International Journal of Modern Science

An energy-efficient sensor cloud model is proposed based on the combination of prediction and forecasting methods. The prediction using Artificial Neural Network (ANN) with single activation function and forecasting using Autoregressive Integrated Moving Average (ARIMA) models use to reduce the communication of data. The requests of the users generate in every second. These requests must be transferred to the wireless sensor network (WSN) through the cloud system in the traditional model, which consumes extra energy. In our approach, instead of one second, the sensors generally communicate with the cloud every 24 hours, and most of the requests reply using the …

Chemical Composition And Antibacterial Activity Of The Essential Oil Of Myrtus Communis Leaves, Hajar El Hartiti, Amine El Mostaphi, Mariam Barrahi, Aouatif Ben Ali, Nabila Chahboun, Rajaa Amiyare, Abdelkader Zarrouk, Brahim Bourkhiss, Mohammed Ouhssine

Karbala International Journal of Modern Science

The aim of this work is to determine the yield of the essential oil of the Myrtus communis leaves, to identify its chemical composition and to evaluate its antibacterial properties. The plant is harvested from Sidi Ahmed Chrif, a region in Ouazzane, Morocco. The extraction of the essential oil was carried out by hydrodistillation in a Clevenger apparatus type. The average yield was 0.7%. The analysis of this oil by Gas Chromatography coupled with Mass Spectrum (GC/MS) allows the identification of 32 compounds. Eucalyptol was the main compound with 42.43%, followed by myrtenyl acetate (21.25%) and α-pinene (19.39%). Myrtle essential …

Hormones Of Maize Crop As Affected By Potassium Fertilization , Water Quality And Ascobin Foliar Application ., Qais Hussain Al-Samak Prof., Fatima Karim Khudair Alasadi

Karbala International Journal of Modern Science

A pot assay on the plastic container of the wire sunshade in the University of Kerbala's Agricultural Division was conducted to research the impact of potassium treatment, the salinity of irrigation water and ascobin sprinkling, just as their connections, on the some plant hormones activities (auxin, gibberellin and abscisic acid) in developing Zea mays crops in a soil with sandy texture during the farming fall period of 2017–2018. The trial was planned as a factorial one with three factors, Potassium adding are 0, 100 and 200 Kg K.ha^–1 . the irrigation water salinity are 1, 3 and 6 ds.m …

Editorial Board

Karbala International Journal of Modern Science

No abstract provided.

Csci 49380/79526: Fundamentals Of Reactive Programming - Assignment 3, Raffi Khatchadourian

Open Educational Resources

No abstract provided.

Integrated Cyberattack Detection And Resilient Control Strategies Using Lyapunov-Based Economic Model Predictive Control, Henrique Oyama, Helen Durand

Chemical Engineering and Materials Science Faculty Research Publications

The use of an integrated system framework, characterized by numerous cyber/physical components (sensor measurements, signals to actuators) connected through wired/wireless networks, has not only increased the ability to control industrial systems, but also the vulnerabilities to cyberattacks. State measurement cyberattacks could pose threats to process control systems since feedback control may be lost if the attack policy is not thwarted. Motivated by this, we propose three detection concepts based on Lyapunov‐based economic model predictive control (LEMPC) for nonlinear systems. The first approach utilizes randomized modifications to an LEMPC formulation online to potentially detect cyberattacks. The second method detects attacks when …

Effect Of Implementing Subgoals In Code.Org's Intro To Programming Unit In Computer Science Principles, Lauren E. Margulieux, Briana Baker Morrison, Baker Franke, Hari Ramilison

Computer Science Faculty Publications

The subgoal learning framework has improved performance for novice programmers in higher education, but it has only started to be applied and studied in K-12 (primary/secondary). Programming education in K-12 is growing, and many international initiatives are attempting to increase participation, including curricular initiatives like Computer Science Principles and non-profit organizations like Code.org. Given that subgoal learning is designed to help students with no prior knowledge, we designed and implemented subgoals in the introduction to programming unit in Code.org's Computer Science Principles course. The redesigned unit includes subgoal-oriented instruction and subgoal-themed pre-written comments that students could add to their programming …

Reliability And Validity Of Scales Assessing Anxiety Associated With Information Related Tasks: A Systematic Review, Muhammad Asif Naveed, Sajjad Ullah Jan, Mumtaz Ali Anwar

Library Philosophy and Practice (e-journal)

This research carried out a systematic review of the evidence of reliability and validity of scales available in studies reporting surveys of individuals to assess anxiety associated with information related tasks such as library anxiety, information seeking anxiety, and information anxiety. A systematic search using keywords ‘library anxiety’, ‘information anxiety’, 'information seeking anxiety', and 'information seeking' AND 'anxiety' was carried in Web of Science, Scopus, LISA, and LISTA to identify the relevant literature. This review included those studies reporting the use of any scale assessing information related anxiety, and published in the English language, and included all type of documents …

The Limits Of Machine Learning, Ma. Mercedes T. Rodrigo

Magisterial Lectures

In this lecture, Dr. Rodrigo discusses how machine-learned models are constrained by the data on which they are based and by the human beings who control them.

Speaker: Ma Mercedes T Rodrigo is a professor at the Department of Information Systems and Computer Science, the head of the Ateneo Laboratory for the Learning Sciences, and the Executive Director of Arete. Her areas of specialization are educational technology, artificial intelligence in education, and educational data mining.

Relocating Units In Robot Swarms With Uniform Control Signals Is Pspace-Complete, David Caballero, Angel A. Cantu, Timothy Gomez, Austin Luchsinger, Robert Schweller, Tim Wylie

Computer Science Faculty Publications

This paper investigates a restricted version of robot motion planning, in which particles on a board uniformly respond to global signals that cause them to move one unit distance in a particular direction on a 2D grid board with geometric obstacles. We show that the problem of deciding if a particular particle can be relocated to a specified location on the board is PSPACE-complete when only allowing 1x1 particles. This shows a separation between this problem, called the relocation problem, and the occupancy problem in which we ask whether a particular location can be occupied by any particle on the …

Extraction D’Information À Partir Des Sites Web En Arabe Basée Sur Une Méthode À Base Des Règles, Moustafa Alhajj, Amani Sabra

Al Jinan الجنان

Cet article décrit un outil qui se sert de l’ingénierie de la langue pour l’extraction d’information à partir des sites web en arabe, Ces informations serviront aux documentalistes du Web poue créer des fches d’archivage pour les sites. Une fche d’archivage est proposée, l’objectif étant de remplir cette fche automatiquement. Pour la reconnaissance et la classifcation des segments textuels, la méthode d’exploration contextuelle proposée par Descles est utilisée, les marqueurs et règles linguistiques sont défnis en se basant sur une étude synthétique des spécifcités de la langue arabe. Un corpus de plus de 1300 sites Web en langue arabe a …

خوارزمية لاستخراج أسماء رواة الحديث النبوي آليا اعتمادا على صيغ الإخبار في السند, Omar Koussa, Moustafa Alhajj, Amani Sabra

Al Jinan الجنان

لمّا كان للحديث النبوي الشريف ولعلم الرواية الأثر الواضح في اللغة العربية؛ آثرنا أن نضع بصمتنا في هذا المجال، فقمنا بعمل تطبيق للتعرّف الآلي على أسماء الرواة عبر الاستعانة باللسانيات الحاسوبية. تكمن أهمية هذا العمل في تسهيله استخراج أسماء الرواة خدمة للدارسين في علم الحديث، كذلك سيُشكل هذا العمل نواة لأعمال لاحقة في التصنيف الآلي للرواة، طبقا للتصانيف المقررة في هذا العلم

Efficient Methodology To Identify The Outliers In Financial Big Data For Fraud Detection, Girija Attigeri

Manipal Institute of Technology, Manipal Theses and Dissertations

No abstract provided.

Assessing Topical Homogeneity With Word Embedding And Distance Matrices, Jeffrey M. Stanton, Yisi Sang

School of Information Studies - Faculty Scholarship

Researchers from many fields have used statistical tools to make sense of large bodies of text. Many tools support quantitative analysis of documents within a corpus, but relatively few studies have examined statistical characteristics of whole corpora. Statistical summaries of whole corpora and comparisons between corpora have potential application in the analysis of topically organized applications such social media platforms. In this study, we created matrix representations of several corpora and examined several statistical tests to make comparisons between pairs of corpora with respect to the topical homogeneity of documents within each corpus. Results of three experiments suggested that a …

Why Significant Wave Height And Rogue Waves Are So Defined: A Possible Explanation, Laxman Bokati, Olga Kosheleva, Vladik Kreinovich

Departmental Technical Reports (CS)

Data analysis has shown that if we want to describe the wave pattern by a single characteristic, the best characteristic is the average height of the highest one third of the waves; this characteristic is called significant wave height. Once we know the value of this characteristic, a natural next question is: what is the highest wave that we should normally observe -- so that waves higher than this amount would be rare ("rogue"). Empirically, it has been shown that rogue waves are best defined as the ones which are at least twice higher than the significant wave height. In …

How To Describe Measurement Errors: A Natural Generalization Of The Central Limit Theorem Beyond Normal (And Other Infinitely Divisible) Distributions, Julio Urenda, Olga Kosheleva, Vladik Kreinovich

Departmental Technical Reports (CS)

When precise measurement instruments are designed, designers try their best to decrease the effect of the main factors leading to measurement errors. As a result of this decrease, the remaining measurement error is the joint result of a large number of relatively small independent error components. According to the Central Limit Theorem, under reasonable conditions, when the number of components increases, the resulting distribution tends to Gaussian (normal). Thus, in practice, when the number of components is large, the distribution is close to normal -- and normal distributions are indeed ubiquitous in measurements. However, in some practical situations, the distribution …

A Survey On Securing Personally Identifiable Information On Smartphones, Dar’Rell Pope, Yen-Hung (Frank) Hu, Mary Ann Hoppa

Virginia Journal of Science

With an ever-increasing footprint, already topping 3 billion devices, smartphones have become a huge cybersecurity concern. The portability of smartphones makes them convenient for users to access and store personally identifiable information (PII); this also makes them a popular target for hackers. This survey shares practical insights derived from analyzing 16 real-life case studies that exemplify: the vulnerabilities that leave smartphones open to cybersecurity attacks; the mechanisms and attack vectors typically used to steal PII from smartphones; the potential impact of PII breaches upon all parties involved; and recommended defenses to help prevent future PII losses. The contribution of this …

Some Generalizations Of Classical Integer Sequences Arising In Combinatorial Representation Theory, Sasha Verona Malone

Masters Theses & Specialist Projects

There exists a natural correspondence between the bases for a given finite-dimensional representation of a complex semisimple Lie algebra and a certain collection of finite edge-colored ranked posets, laid out by Donnelly, et al. in, for instance, [Don03]. In this correspondence, the Serre relations on the Chevalley generators of the given Lie algebra are realized as conditions on coefficients assigned to poset edges. These conditions are the so-called diamond, crossing, and structure relations (hereinafter DCS relations.) New representation constructions of Lie algebras may thus be obtained by utilizing edge-colored ranked posets. Of particular combinatorial interest are those representations whose corresponding …

Csci 49380/79526: Fundamentals Of Reactive Programming- Assignment 1, Raffi Khatchadourian

Open Educational Resources

No abstract provided.

Csci 49380/79526: Fundamentals Of Reactive Programming- Syllabus, Raffi Khatchadourian

Open Educational Resources

No abstract provided.

Csci 49380/79526: Fundamentals Of Reactive Programming - Assignment 2, Raffi Khatchadourian

Open Educational Resources

No abstract provided.

Video Game Genre Classification Based On Deep Learning, Yuhang Jiang

Masters Theses & Specialist Projects

Video games have played a more and more important role in our life. While the genre classification is a deeply explored research subject by leveraging the strength of deep learning, the automatic video game genre classification has drawn little attention in academia. In this study, we compiled a large dataset of 50,000 video games, consisting of the video game covers, game descriptions and the genre information. We explored three approaches for genre classification using deep learning techniques. First, we developed five image-based models utilizing pre-trained computer vision models such as MobileNet, ResNet50 and Inception, based on the game covers. Second, …

Lenskit For Python: Next-Generation Software For Recommender Systems Experiments, Michael D. Ekstrand

Computer Science Faculty Publications and Presentations

LensKit is an open-source toolkit for building, researching, and learning about recommender systems. First released in 2010 as a Java framework, it has supported diverse published research, small-scale production deployments, and education in both MOOC and traditional classroom settings. In this paper, I present the next generation of the LensKit project, re-envisioning the original tool's objectives as flexible Python package for supporting recommender systems research and development. LensKit for Python (LKPY) enables researchers and students to build robust, flexible, and reproducible experiments that make use of the large and growing PyData and Scientific Python ecosystem, including scikit-learn, and TensorFlow. To …

An Evaluation Of The 6tisch Distributed Resource Management Mode, Francesca Righetti, Carlo Vallati, Sajal K. Das, Giuseppe Anastasi

Computer Science Faculty Research & Creative Works

The IETF is currently defining the 6TiSCH architecture for the Industrial Internet of Things to ensure reliable and timely communication. 6TiSCH relies on the IEEE TSCH MAC protocol and defines different scheduling approaches for managing TSCH cells, including a distributed (neighbor-to-neighbor) scheduling scheme, where cells are allocated by nodes in a cooperative way. Each node leverages a Scheduling Function (SF) to compute the required number of cells, and the 6top (6P) protocol to negotiate them with neighbors. Currently, the Minimal Scheduling Function (MSF) is under consideration for standardization. However, multiple SFs are expected to be used in real deployments, in …

Efficient Column-Oriented Processing For Mutual Subspace Skyline Queries, Tao Jiang, Bin Zhang, Dan Lin, Yunjun Gao, Qing Li

Computer Science Faculty Research & Creative Works

A mutual skyline query will enable some new applications, such as marketing analysis, task allocation, and personalized matching. Algorithms for efficient processing of this query have been recently proposed in the literature. Those approaches use the R-tree indexes and apply a series of pruning criteria toward efficient processing. However, they are characterized by several limitations: (1) they cannot process different interests on attributes for skyline and reverse skyline, (2) they require a multidimensional index, which suffers from performance degradation, especially in high-dimensional space, and (3) they do not support vertically decomposed data that is a natural and intuitive choice for …

Coding Overhead Of Mobile Apps, Yoonsik Cheon

Departmental Technical Reports (CS)

A mobile app runs on small devices such as smartphones and tablets. Perhaps, because of this, there is a common misconception that writing a mobile app is simpler than a desktop application. In this paper, we show that this is indeed a misconception, and it's the other way around. We perform a small experiment to measure the source code sizes of a desktop application and an equivalent mobile app written in the same language. We found that the mobile version is 19% bigger than the desktop version in terms of the source lines of code, and the mobile code is …