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2022

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Articles 17851 - 17880 of 18163

Full-Text Articles in Physical Sciences and Mathematics

On Modelling And Analyzing Composite Resources’ Consumption Cycles Using Time Petri-Nets, Amel Benna, Fatma Masmoudi, Mohamed Sellami, Zakaria Maamar, Rachid Hadjidj Jan 2022

On Modelling And Analyzing Composite Resources’ Consumption Cycles Using Time Petri-Nets, Amel Benna, Fatma Masmoudi, Mohamed Sellami, Zakaria Maamar, Rachid Hadjidj

All Works

ICT community cornerstones (IoT in particular) gain competitive advantage from using physical resources. This paper adopts Time Petri-Nets (TPNs) to model and analyze the consumption cycles of composite resources. These resources consist of primitive, and even other composite, resources that are associated with consumption properties and could be subject to disruptions. These properties are specialized into unlimited, shareable, limited, limited-but-renewable, and non-shareable, and could impact the availability of resources. This impact becomes a concern when disruptions suspend ongoing consumption cycles to make room for the unplanned consumptions. Resuming the suspended consumption cycles depends on the resources’ consumption properties. To ensure …

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Improved Reptile Search Optimization Algorithm Using Chaotic Map And Simulated Annealing For Feature Selection In Medical Filed, Zenab Elgamal, Aznul Qalid Md Sabri, Mohammad Tubishat, Dina Tbaishat, Sharif Naser Makhadmeh, Osama Ahmad Alomari Jan 2022

Improved Reptile Search Optimization Algorithm Using Chaotic Map And Simulated Annealing For Feature Selection In Medical Filed, Zenab Elgamal, Aznul Qalid Md Sabri, Mohammad Tubishat, Dina Tbaishat, Sharif Naser Makhadmeh, Osama Ahmad Alomari

All Works

The increased volume of medical datasets has produced high dimensional features, negatively affecting machine learning (ML) classifiers. In ML, the feature selection process is fundamental for selecting the most relevant features and reducing redundant and irrelevant ones. The optimization algorithms demonstrate its capability to solve feature selection problems. Reptile Search Algorithm (RSA) is a new nature-inspired optimization algorithm that stimulates Crocodiles’ encircling and hunting behavior. The unique search of the RSA algorithm obtains promising results compared to other optimization algorithms. However, when applied to high-dimensional feature selection problems, RSA suffers from population diversity and local optima limitations. An improved metaheuristic …

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A Brief Comparison Of K-Means And Agglomerative Hierarchical Clustering Algorithms On Small Datasets, Hassan I. Abdalla Jan 2022

A Brief Comparison Of K-Means And Agglomerative Hierarchical Clustering Algorithms On Small Datasets, Hassan I. Abdalla

All Works

In this work, the agglomerative hierarchical clustering and K-means clustering algorithms are implemented on small datasets. Considering that the selection of the similarity measure is a vital factor in data clustering, two measures are used in this study - cosine similarity measure and Euclidean distance - along with two evaluation metrics - entropy and purity - to assess the clustering quality. The datasets used in this work are taken from UCI machine learning depository. The experimental results indicate that k-means clustering outperformed hierarchical clustering in terms of entropy and purity using cosine similarity measure. However, hierarchical clustering outperformed k-means clustering …

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Interacting With Educational Chatbots: A Systematic Review, Mohammad Amin Kuhail, Nazik Alturki, Salwa Alramlawi, Kholood Alhejori Jan 2022

Interacting With Educational Chatbots: A Systematic Review, Mohammad Amin Kuhail, Nazik Alturki, Salwa Alramlawi, Kholood Alhejori

All Works

Chatbots hold the promise of revolutionizing education by engaging learners, personalizing learning activities, supporting educators, and developing deep insight into learners’ behavior. However, there is a lack of studies that analyze the recent evidence-based chatbot-learner interaction design techniques applied in education. This study presents a systematic review of 36 papers to understand, compare, and reflect on recent attempts to utilize chatbots in education using seven dimensions: educational field, platform, design principles, the role of chatbots, interaction styles, evidence, and limitations. The results show that the chatbots were mainly designed on a web platform to teach computer science, language, general education, …

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Analysis Of Blockchain Solutions For E-Voting: A Systematic Literature Review, Ali Benabdallah, Antoine Audras, Louis Coudert, Nour El Madhoun, Mohamad Badra Jan 2022

Analysis Of Blockchain Solutions For E-Voting: A Systematic Literature Review, Ali Benabdallah, Antoine Audras, Louis Coudert, Nour El Madhoun, Mohamad Badra

All Works

To this day, abstention rates continue to rise, largely due to the need to travel to vote. This is why remote e-voting will increase the turnout by allowing everyone to vote without the need to travel. It will also minimize the risks and obtain results in a faster way compared to a traditional vote with paper ballots. In fact, given the high stakes of an election, a remote e-voting solution must meet the highest standards of security, reliability, and transparency to gain the trust of citizens. In literature, several remote e-voting solutions based on blockchain technology have been proposed. Indeed, …

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Loguad: Log Unsupervised Anomaly Detection Based On Word2vec, Jin Wang, Changqing Zhao, Shiming He, Yu Gu, Osama Alfarraj, Ahed Abugabah Jan 2022

Loguad: Log Unsupervised Anomaly Detection Based On Word2vec, Jin Wang, Changqing Zhao, Shiming He, Yu Gu, Osama Alfarraj, Ahed Abugabah

All Works

System logs record detailed information about system operation and are important for analyzing the system's operational status and performance. Rapid and accurate detection of system anomalies is of great significance to ensure system stability. However, large-scale distributed systems are becoming more and more complex, and the number of system logs gradually increases, which brings challenges to analyze system logs. Some recent studies show that logs can be unstable due to the evolution of log statements and noise introduced by log collection and parsing. Moreover, deep learning-based detection methods take a long time to train models. Therefore, to reduce the computational …

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Classification Of Parkinson Disease Based On Patient’S Voice Signal Using Machine Learning, Imran Ahmed, Sultan Aljahdali, Muhammad Shakeel Khan, Sanaa Kaddoura Jan 2022

Classification Of Parkinson Disease Based On Patient’S Voice Signal Using Machine Learning, Imran Ahmed, Sultan Aljahdali, Muhammad Shakeel Khan, Sanaa Kaddoura

All Works

Parkinson’s disease (PD) is a nervous system disorder first described as a neurological condition in 1817. It is one of the more prevalent diseases in the elderly, and Alzheimer’s is the second most common neurodegenerative illness. It impacts the patient’s movement. Symptoms start gradually with tremors, stiffness in movement, and speech and voice disorders. Researches proved that 89% of patients with Parkinson’s has speech disorder including uncertain articulation, hoarse and breathy voice and monotone pitch. The cause behind this voice change is the reduction of dopamine due to damage of neurons in the substantia nigra responsible for dopamine production. In …

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Trajectory Design For Uav-Based Data Collection Using Clustering Model In Smart Farming, Tariq Qayyum, Zouheir Trabelsi, Asad Malik, Kadhim Hayawi Jan 2022

Trajectory Design For Uav-Based Data Collection Using Clustering Model In Smart Farming, Tariq Qayyum, Zouheir Trabelsi, Asad Malik, Kadhim Hayawi

All Works

Unmanned aerial vehicles (UAVs) play an important role in facilitating data collection in remote areas due to their remote mobility. The collected data require processing close to the end-user to support delay-sensitive applications. In this paper, we proposed a data collection scheme and scheduling framework for smart farms. We categorized the proposed model into two phases: data collection and data scheduling. In the data collection phase, the IoT sensors are deployed randomly to form a cluster based on their RSSI. The UAV calculates an optimum trajectory in order to gather data from all clusters. The UAV offloads the data to …

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"What's In A Name?”: The Use Of Instructional Design In Overcoming Terminology Barriers Associated With Dark Patterns, Andrea Curley, Damian Gordon, Dympna O'Sullivan Jan 2022

"What's In A Name?”: The Use Of Instructional Design In Overcoming Terminology Barriers Associated With Dark Patterns, Andrea Curley, Damian Gordon, Dympna O'Sullivan

Conference Papers

Many users experience a phenomena when they are shopping on-line where they feel they are being pressured to either spend more money than they had intended, or to share more personal data than they wanted. In academic circles we use the term “Dark Patterns” to describe these deceptive practices, and categorize them as being within the discipline of User Experience (Narayanan, 2020). As academics it is important to name phenomena, and to categorize them, so that we can discuss and analyze these issues. However, this particular topic is one that all users should be made aware of when interacting online, …

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Towards An Active Foveated Approach To Computer Vision, Dario Dematties, Silvio Rizzi, George K. Thiruvathukal, Alejandro Javier Wainselboim Jan 2022

Towards An Active Foveated Approach To Computer Vision, Dario Dematties, Silvio Rizzi, George K. Thiruvathukal, Alejandro Javier Wainselboim

Computer Science: Faculty Publications and Other Works

In this paper, a series of experimental methods are presented explaining a new approach towards active foveated Computer Vision (CV). This is a collaborative effort between researchers at CONICET Mendoza Technological Scientific Center from Argentina, Argonne National Laboratory (ANL), and Loyola University Chicago from the US. The aim is to advance new CV approaches more in line with those found in biological agents in order to bring novel solutions to the main problems faced by current CV applications. Basically this work enhance Self-supervised (SS) learning, incorporating foveated vision plus saccadic behavior in order to improve training and computational efficiency without …

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On The Design And Implementation Of An On-Board Test Bed System For V2v Road Hazard Signaling, Fatma Outay, Faouzi Kamoun, Anouar Chemek, Hichem Bargaoui, Ansar Yasar Jan 2022

On The Design And Implementation Of An On-Board Test Bed System For V2v Road Hazard Signaling, Fatma Outay, Faouzi Kamoun, Anouar Chemek, Hichem Bargaoui, Ansar Yasar

All Works

This paper describes the design, implementation, and testing of an ITS-G5 prototype Road hazard Signaling (RHS) system that is inspired by the concept of crowdsourcing. Our approach enables drivers to interact with a touchscreen onboard interface to send ITS-G5 decentralized environmental notification messages (DENM) in order to warn nearby vehicles against the presence of a hazardous situation. These messages are analyzed, filtered for relevance, and presented to concerned drivers via the Onboard Units (OBUs) so that precautionary measures can be taken. We describe the design and implementation aspects of the proposed system and update the open source cargeo6 implementation of …

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Comparison Of Reaction Time-Based Collaborative Velocity Control And Intelligent Driver Model For Agent-Based Simulation Of Autonomous Car, Fatma Outay, Abdeljalil Abbas-Turki, Stéphane Galland, Alexandre Lombard, Nicolas Gaud Jan 2022

Comparison Of Reaction Time-Based Collaborative Velocity Control And Intelligent Driver Model For Agent-Based Simulation Of Autonomous Car, Fatma Outay, Abdeljalil Abbas-Turki, Stéphane Galland, Alexandre Lombard, Nicolas Gaud

All Works

Based on historical records, driving in hazardous weather conditions is one of the most serious causes that lead to fatal accidents on roads in general and in United Arab Emirates (UAE) highways in particular. One solution to improve road safety is to equip vehicles and infrastructure with connected and smart devices and convert them into autonomous vehicles. Before deploying a concrete solution to the field, it must be validated by simulation, and more specifically by agent-based simulation. In this paper, we propose to implement the Reaction Time-Based Collaborative Velocity Control (RT-CVC) model that was implemented in autonomous cars into an …

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On Complete, Horizontal And Vertical Lifts From A Manifold With Fλ (6, 4) Structure To Its Cotangent Bundle, Manisha M. Kankarej, Jai Pratap Singh Jan 2022

On Complete, Horizontal And Vertical Lifts From A Manifold With Fλ (6, 4) Structure To Its Cotangent Bundle, Manisha M. Kankarej, Jai Pratap Singh

All Works

Manifolds with fλ(6, 4) structure was defined and studied in the past. Later the geometry of tangent and cotangent bundles in a differentiable manifold with fλ(6, 4) structure was studied. The aim of the present paper is to study complete, horizontal and vertical lifts from a manifold with fλ (6, 4)-structure to its cotangent bundle.

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Social Networking Applications: A Comparative Analysis For A Collaborative Learning Through Google Classroom And Zoom, Tariq Abu Hilal, Ala’ Abu Hilal, Hasan Abu Hilal Jan 2022

Social Networking Applications: A Comparative Analysis For A Collaborative Learning Through Google Classroom And Zoom, Tariq Abu Hilal, Ala’ Abu Hilal, Hasan Abu Hilal

All Works

Recently, social network applications were developed intensively due to the increasing compaction and user demands. These applications provide different services to their users like learning, awareness, chatting with friends, sharing global news, etc. Simply, this work introduces the advantages of these software applications, specifically in the field of education during the COVID 19 spread. Google Classroom and Zoom meetings had gained the attention of many educational institutes for using them as a learning platform for students and educators. This research used two methodologies SWOT analysis and the information system success model of DeLone and McLean's updated to evaluate the effectiveness …

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Haptic Feedback To Assist Blind People In Indoor Environment Using Vibration Patterns, Shah Khusro, Babar Shah, Inayat Khan, Sumayya Rahman Jan 2022

Haptic Feedback To Assist Blind People In Indoor Environment Using Vibration Patterns, Shah Khusro, Babar Shah, Inayat Khan, Sumayya Rahman

All Works

Feedback is one of the significant factors for the mental mapping of an environment. It is the communication of spatial information to blind people to perceive the surroundings. The assistive smartphone technologies deliver feedback for different activities using several feedback mediums, including voice, sonification and vibration. Researchers 0have proposed various solutions for conveying feedback messages to blind people using these mediums. Voice and sonification feedback are effective solutions to convey information. However, these solutions are not applicable in a noisy environment and may occupy the most important auditory sense. The privacy of a blind user can also be compromised with …

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A Novel Tunicate Swarm Algorithm With Hybrid Deep Learning Enabled Attack Detection For Secure Iot Environment, Fatma Taher, Mohamed Elhoseny, Mohammed K. Hassan, Ibrahim M. El-Hasnony Jan 2022

A Novel Tunicate Swarm Algorithm With Hybrid Deep Learning Enabled Attack Detection For Secure Iot Environment, Fatma Taher, Mohamed Elhoseny, Mohammed K. Hassan, Ibrahim M. El-Hasnony

All Works

No abstract provided.

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Conceptualising The Role Of The Uae Innovation Strategy In University-Industry Knowledge Diffusion Process, Mousa Al-Kfairy, Munir Majdalawieh, Saed Alrabaee Jan 2022

Conceptualising The Role Of The Uae Innovation Strategy In University-Industry Knowledge Diffusion Process, Mousa Al-Kfairy, Munir Majdalawieh, Saed Alrabaee

All Works

Universities are considered one of the primary sources of knowledge and an essential component of the triple helix theory. They fuel the industries with the required expertise and pool of resources to operate efficiently. Moreover, entrepreneurial universities successfully contributed to regional development and employment growth by supporting entrepreneurial activities and incubation programmes. Thus, university-industry collaboration is vital for enhancing knowledge-based industries' knowledge diffusion as well as the regional innovation atmospheres. On the other hand, countries and regional authorities strive to stimulate their regional development by encouraging innovation and entrepreneurship activities. For example, the UAE announced its 2015 innovation strategy that …

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Quantitative Raman Analysis Of Carotenoid Protein Complexes In Aqueous Solution, Joy Udensi, Ekaterina Loskutova, James Loughman, Hugh Byrne Jan 2022

Quantitative Raman Analysis Of Carotenoid Protein Complexes In Aqueous Solution, Joy Udensi, Ekaterina Loskutova, James Loughman, Hugh Byrne

Datasets

Carotenoids are naturally abundant fat-soluble pigmented compounds, with dietary, antioxidant and vision protection advantages. The dietary carotenoids, Beta Carotene, Lutein and Zeaxanthin, complexed with in bovine serum albumin (BSA) in aqueous solution, were explored using Raman spectroscopy to differentiate and quantify their spectral signatures. UV visible absorption spectroscopy was employed to confirm the linearity of responses over the concentration range employed (0.05-1mg/ml) and, of the 4 source wavelengths, 785nm, 660nm, 532nm, 473nm, 532nm was chosen to provide the optimal response. After preprocessing to remove water and BSA contributions, and correct for self-absorption, a partial least squares model with R2 …

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The Other Legacy Of Qasim Amin: The View From 1908, Hoda Yousef Jan 2022

The Other Legacy Of Qasim Amin: The View From 1908, Hoda Yousef

Faculty Publications

No abstract provided.

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Toward Liquid Cell Quantum Sensing: Ytterbium Complexes With Ultra-Narrow Absorption, Ashley J. Shin, Changling Zhao, Yi Shen, Claire E. Dickerson, Timothy Luke Atallah Jan 2022

Toward Liquid Cell Quantum Sensing: Ytterbium Complexes With Ultra-Narrow Absorption, Ashley J. Shin, Changling Zhao, Yi Shen, Claire E. Dickerson, Timothy Luke Atallah

Faculty Publications

No abstract provided.

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The Future Of Ai Accountability In The Financial Markets, Gina-Gail S. Fletcher, Michelle M. Le Jan 2022

The Future Of Ai Accountability In The Financial Markets, Gina-Gail S. Fletcher, Michelle M. Le

Faculty Scholarship

Consumer interaction with the financial market ranges from applying for credit cards, to financing the purchase of a home, to buying and selling securities. And with each transaction, the lender, bank, and brokerage firm are likely utilizing artificial intelligence (AI) behind the scenes to augment their operations. While AI’s ability to process data at high speeds and in large quantities makes it an important tool for financial institutions, it is imperative to be attentive to the risks and limitations that accompany its use. In the context of financial markets, AI’s lack of decision-making transparency, often called the “black box problem,” …

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Meet The Staff Jan 2022

Meet The Staff

The Synapse: Intercollegiate science magazine

No abstract provided.

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Left On Red: The Chemistry Of Color, Rebecca Fenselau, Kayla Bertholf Jan 2022

Left On Red: The Chemistry Of Color, Rebecca Fenselau, Kayla Bertholf

The Synapse: Intercollegiate science magazine

No abstract provided.

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How Machine Learning Will Change Our World: How Machine Learning Can Make Life Easier - And A Bit More Complicated, Sakin Kirti Jan 2022

How Machine Learning Will Change Our World: How Machine Learning Can Make Life Easier - And A Bit More Complicated, Sakin Kirti

The Synapse: Intercollegiate science magazine

No abstract provided.

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Monkey See, Humans Too: Understanding The Link Between Sight And Smell In Five Primate Species, Paul Kamitsuka, Evan Swanson Jan 2022

Monkey See, Humans Too: Understanding The Link Between Sight And Smell In Five Primate Species, Paul Kamitsuka, Evan Swanson

The Synapse: Intercollegiate science magazine

No abstract provided.

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Eczema And Mental Health: The Silent Struggle Of Skin Disorders, Bhavana Huliyar Jan 2022

Eczema And Mental Health: The Silent Struggle Of Skin Disorders, Bhavana Huliyar

The Synapse: Intercollegiate science magazine

No abstract provided.

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The Acoustics Of Concert Halls: Where Science, Music, & Visual Arts Meet, Norah Han Jan 2022

The Acoustics Of Concert Halls: Where Science, Music, & Visual Arts Meet, Norah Han

The Synapse: Intercollegiate science magazine

No abstract provided.

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Emulsifiers: The Hidden Ingredients Holding Our Food Together, Joey O'Donnell Jan 2022

Emulsifiers: The Hidden Ingredients Holding Our Food Together, Joey O'Donnell

The Synapse: Intercollegiate science magazine

No abstract provided.

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Earth's Other Lung: Phytoplankton, Sarah Barney Jan 2022

Earth's Other Lung: Phytoplankton, Sarah Barney

The Synapse: Intercollegiate science magazine

No abstract provided.

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What Your Ears "Say" About You: Otoacoustic Emissions, Fay Levin Jan 2022

What Your Ears "Say" About You: Otoacoustic Emissions, Fay Levin

The Synapse: Intercollegiate science magazine

No abstract provided.

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