Computer Sciences Commons^™

Data Analytics Beyond Traditional Probabilistic Approach To Uncertainty, Vladik Kreinovich

Departmental Technical Reports (CS)

Data for processing mostly comes from measurements, and measurements are never absolutely accurate: there is always the "measurement error" -- the difference between the measurement result and the actual (unknown) value of the measured quantity. In many applications, it is important to find out how these measurement errors affect the accuracy of the result of data processing. Traditional data processing techniques implicitly assume that we know the probability distributions. In many practical situations, however, we only have partial information about these distributions. In some cases, all we know is the upper bound on the absolute value of the measurement error. …

White- And Black-Box Computing And Measurements Under Limited Resources: Cloud, High Performance, And Quantum Computing, And Two Case Studies -- Robotic Boat And Hierarchical Covid Testing, Vladik Kreinovich, Martine Ceberio, Olga Kosheleva

Departmental Technical Reports (CS)

In many practical problems, it is important to take into account that our computational and measuring resources are limited. In this paper, we overview main resource limitations for different types of computers, and we provide two case studies explaining how to best take this resource limitation into account.

How To Separate Absolute And Relative Error Components: Interval Case, Christian Servin, Olga Kosheleva, Vladik Kreinovich

Departmental Technical Reports (CS)

Usually, measurement errors contain both absolute and relative components. To correctly gauge the amount of measurement error for all possible values of the measured quantity, it is important to separate these two error components. For probabilistic uncertainty, this separation can be obtained by using traditional probabilistic techniques. The problem is that in many practical situations, we do not know the probability distribution, we only know the upper bound on the measurement error. In such situations of interval uncertainty, separation of absolute and relative error components is not easy. In this paper, we propose a technique for such a separation based …

What If We Use Almost-Linear Functions Instead Of Linear Ones As A First Approximation In Interval Computations, Martine Ceberio, Olga Kosheleva, Vladik Kreinovich

Departmental Technical Reports (CS)

In many practical situations, the only information that we have about measurement errors is the upper bound on their absolute values. In such situations, the only information that we have after the measurement about the actual (unknown) value of the corresponding quantity is that this value belongs to the corresponding interval: e.g., if the measurement result is 1.0, and the upper bound is 0.1, then this interval is [1.0−0.1,1.0+0.1] = [0.9,1.1]. An important practical question is what is the resulting interval uncertainty of indirect measurements, i.e., in other words, how interval uncertainty propagates through data processing. There exist feasible algorithms …

Why Number Of Color Difference Works Better In Detecting Melanoma Than Number Of Colors: A Possible Fractal-Based Explanation, Julio Urenda, Olga Kosheleva, Vladik Kreinovich

Departmental Technical Reports (CS)

At present, the best way to detect melanoma based on an image of a skin spot is to count the number of different colors in this image. A recent paper has shown that the detection can improve if instead of the number of colors, we use the difference between numbers of colors computed by using different thresholds. In this paper, we provide a possible fractal-based explanation for this empirical fact.

The Hidden Advantage Among Digital Natives Within Bug Bounty Programs, James (Jimmy) Allah-Mensah

Cybersecurity Undergraduate Research Showcase

Bug bounty programs are a great way for companies and organizations to help keep their systems and information secure; however, there are only a limited number of white hat hacking participant spots. With only so many seats available at the table, being able to determine the most qualified group of individuals is critical to the efficiency of the program at large. Digital natives, people born into the digital age, provide an instinctive approach when dealing with technology. On the other hand, digital immigrants, people who grew up before the digital age and had to adapt to new technology, evidently utilize …

Secure Authentication And Privacy-Preserving Techniques In Vehicular Ad-Hoc Networks (Vanets), Dakshnamoorthy Manivannan, Shafika Showkat Moni, Sherali Zeadally

Computer Science Faculty Publications

In the last decade, there has been growing interest in Vehicular Ad Hoc NETworks (VANETs). Today car manufacturers have already started to equip vehicles with sophisticated sensors that can provide many assistive features such as front collision avoidance, automatic lane tracking, partial autonomous driving, suggestive lane changing, and so on. Such technological advancements are enabling the adoption of VANETs not only to provide safer and more comfortable driving experience but also provide many other useful services to the driver as well as passengers of a vehicle. However, privacy, authentication and secure message dissemination are some of the main issues that …

How Do Kosovo Firms Utilize Business Intelligence? An Exploratory Study, Ardian Hyseni

UBT International Conference

The purpose of this paper is to examine how Kosovo firms utilize business intelligence to analyze their data and better understand the past, present and the future of their firm. Business intelligence offers firms the ability to analyze large amount of data quicker and more effective. Decision making has become easier with the use of BI tools, but making the right decision at right time has become vital for the firms performance. This research will contribute on business industry by providing evidence how Kosovo firms utilize the BI system, what BI tools and what business values and processes BI offers …

Visual Cryptography Scheme With Digital Watermarking In Sharing Secret Information From Car Number Plate Digital Images, Ana Savic, Goran Bjelobaba, Radosav Veselinovic, Hana Stefanovic

UBT International Conference

In this paper a visual cryptography scheme with a binary additive stream cipher is used to form the meaningless shares (share images or multiple layers) of original digital image, hiding some secret information. Each share image holds some information, but at the receiver side only when all of them are superimposed, the secret information is revealed by human vision without any complex computation. Proposed algorithm for generating shares is applied in MATLAB programming environment, using MATLAB built-in functions to create sequences of pseudorandom numbers or streams, which are used to make share images of original digital image. The input image …

Analysis Of Cloud Bursting On Openstack Infrastructure To Aws, Bao Pham, Ronald C. Jones, Majid Shaalan

Other Student Works

Cloud computing is the development of distributed and parallel computing that seeks to provide a new model of business computing by automating services and efficiently storing proprietary data. Cloud bursting is one of the cloud computing techniques that adopts the hybrid cloud model which seeks to expand the resources of a private cloud through the integration with a public cloud infrastructure. In this paper, the viability of cloud bursting is experimented and an attempt to integrate AWS EC2 onto an Openstack cloud environment using the Openstack OMNI driver is conducted.

The Internet Never Forgets: Image-Based Sexual Abuse And The Workplace, John Schriner, Melody Lee Rood

Publications and Research

Image-based sexual abuse (IBSA), commonly known as revenge pornography, is a type of cyberharassment that often results in detrimental effects to an individual's career and livelihood. Although there exists valuable research concerning cyberharassment in the workplace generally, there is little written about specifically IBSA and the workplace. This chapter examines current academic research on IBSA, the issues with defining this type of abuse, victim blaming, workplace policy, and challenges to victim-survivors' redress. The authors explore monetary motivation for websites that host revenge pornography and unpack how the dark web presents new challenges to seeking justice. Additionally, this chapter presents recommendations …

Chapter 7: Essential Aspects Of Physical Design And Implementation Of Relational Databases, Tatiana Malyuta, Ashwin Satyanarayana

Open Educational Resources

No abstract provided.

A Human Error Based Approach To Understanding Programmer-Induced Software Vulnerabilities, Vaibhav Anu, Kazi Zakia Sultana, Bharath K. Samanthula

Department of Computer Science Faculty Scholarship and Creative Works

Many security incidents can be traced back to software vulnerabilities, which can be described as security-related defects/bugs in the code that can potentially be exploited by the attackers to perform unauthorized actions. An analysis of vulnerability data disseminated by organizations such as NIST' s National Vulnerability (NVD) and SANS Institute shows that a majority of vulnerabilities can be traced back to a relatively small set of root causes mostly related to the repeated mistakes by the programmers. That is, programmers exhibit a pattern of erroneous coding practices or behavior which lead to vulnerable code. Cognitive Psychologists have long been studying …

A Highly-Parameterized Ensemble To Play Gin Rummy, Masayuki Nagai, Kavya Shrivastava, Kien Ta, Chad Byers, Steven Bogaerts

Annual Student Research Poster Session

In this work we describe the development and tuning of a computer Gin Rummy player. The system includes three main components to make decisions about drawing cards, discarding, and ending the game, with numerous hyperparameters controlling behavior. After the components are described, three sets of hyperparameter tuning and performance experiments are analyzed.

Making Artificial Cips Data With A Generative Adversarial Neural Network, Austin Hedges

Fall Showcase for Research and Creative Inquiry

Polar mesospheric clouds (PMCs) have been studied for thirteen years by NASA's Aeronomy of Ice in the Mesosphere (AIM) satellite. The Cloud Imaging and Particle Size (CIPS) instrument onboard AIM has taken many images of PMCs over this time. Such a large number of images makes CIPS data ideal for training neural networks which require large datasets. CIPS images were used to train a Generative Adversarial Network (GAN) to train towards being able to generate purely artificial CIPS-like images.

Non-Local Approximation, Iris Hammond

Fall Showcase for Research and Creative Inquiry

Using previous research done by Dr. Ledford, we investigated interpolation techniques with various multi-quadric kernels. Ultimately, we extended a previous Lemma for polynomials of degree M+1.

Chapter 6: Essential Aspects Of Physical Design And Implementation Of Relational Databases, Tatiana Malyuta, Ashwin Satyanarayana

Open Educational Resources

No abstract provided.

Help Us Technology: Created By Students For Students, Celso Martins, Fabiana Friedrich, Guilherme Tenorio, Vinicius Martins

ICT

HUT is an online platform created by third year students at CCT College Dublin as the Final Project for the Bachelor of Science in Information Technology. The initial idea for the project came up during a meeting in a Café where we were all debating what would be the project theme and final product. During the first group meetings in college, our group came up with several good ideas but what would benefit us all, as students, would be something related to Online Learning because during our last academic year, a global pandemic began leaving Educational institutions with no option …

Advcon, Beacon Devices And Electronic Advertisement, Edwin Ibrahim Garces, Eduard Fernando Cuadros, Thiago Almeida, Ben O'Leary

ICT

Technology is increasingly becoming an important ally for business, so it is important to develop studies and research that bring innovation to the market.

This report is about implementation of an app that utilizes a Bluetooth communication as a way of send low data information to a mobile device as an advertisement and how it would help on the business growth.

The research that were carried out in order to bring more knowledge about the beacon technology that is being the basis of our project and mobile devices app development.

It was found that there is still more to be …

Gaining Insight Into Solar Photovoltaic Power Generation Forecasting Utilizing Explainable Artificial Intelligence Tools, Murat Kuzlu, Umit Cali, Vinayak Sharma, Özgür Güler

Engineering Technology Faculty Publications

Over the last two decades, Artificial Intelligence (AI) approaches have been applied to various applications of the smart grid, such as demand response, predictive maintenance, and load forecasting. However, AI is still considered to be a ‘‘black-box’’ due to its lack of explainability and transparency, especially for something like solar photovoltaic (PV) forecasts that involves many parameters. Explainable Artificial Intelligence (XAI) has become an emerging research field in the smart grid domain since it addresses this gap and helps understand why the AI system made a forecast decision. This article presents several use cases of solar PV energy forecasting using …

Chapter 4: Essential Aspects Of Physical Design And Implementation Of Relational Databases, Tatiana Malyuta, Ashwin Satyanarayana

Open Educational Resources

No abstract provided.

The Majority Rule: A General Protection On Recommender System, Lei Xu, Lin Chen, Martin Flores, Hansheng Lei, Liyu Zhang, Mahmoud K. Quweider, Fitratullah Khan, Weidong Shi

Computer Science Faculty Publications

Recommender systems are widely used in a variety of scenarios, including online shopping, social network, and contents distribution. As users rely more on recommender systems for information retrieval, they also become attractive targets for cyber-attacks. The high-level idea of attacking a recommender system is straightforward. An adversary selects a strategy to inject manipulated data into the database of the recommender system to influence the recommendation results, which is also known as a profile injection attack. Most existing works treat attacking and protection in a static manner, i.e., they only consider the adversary’s behavior when analyzing the influence without considering normal …

Conversa: A Community Of Conversation, Leandro Silveira, Willian Antunes De Sousa, Richard Welbert Silva Biagi, Patricia Correia, Lucas Freire

ICT

In the past decade, Dublin has seen increasing development in many sectors, remarkably in the Education industry. The country has attracted many English learning seekers, students that come to Dublin to live, learn the language, and the local culture. However, exciting this adventure might seem, foreigners may still struggle to overcome a set of difficulties when learning another language in a different environment.

For this reason, this project will try to develop an app that can help students meet new people with the primary objective to learn and practice English with people nearby. Users will be able to find people …

Pod: Plenty Of Dogs, Adriana Moreira, Claudio Santana, Jordana Marques, Kevin Cardoso, Larissa Fernandes

ICT

Finding the ideal match for dog breeding has never been an easy task for most dog owners in different parts of the world, including Ireland. Seeking an opportunity to minimise this problem, a lovely user-friendly web application called Plenty Of Dogs (POD) was developed to facilitate dog owners to found a perfect match for their dogs, according to their search criteria. Besides that, dog owners will also be able to find new friends to their doggies. Initially, only the Republic of Ireland will be benefited from POD services.

To achieve this goal, this project was divided into five distinct phases: …

Using Object Detection Algorithm And Optical Character Recognition To Read Data From Alphanumeric Tags In Text, Ana Bazerque, Davi Moraes, Marcela Souza

ICT

The present document explores the use of machine learning techniques, specifically supervised learning and classification. It applies those techniques to create a solution for a real world company that provides medical products and services to hospitals. This project will deal with streamlining the calibration of medical weighing scales. The developed application will use object detection and character recognition to identify and classify a digital image of a scale’s tag, and fill in a form with the corresponding data. The main reason for the need of this application is to avoid human errors and automate the collection of data from the …

Li-Fi Share (Lfs): See What Light Can Do, Gamaliel Munoz, Anant Tandon, Juliana Sousa, Zohaib Qaiser

ICT

This project presents an innovative way how the user of internet can manipulate data transfer in a faster and security way. The main idea is to use “LI-FI ” that means type of Optical Wireless Communication (OWC) technology, bi-directional which uses light emitting diodes (LEDs) to transmit data between devices. In technical terms LI-FI transmits data by electromagnetic spectrum, high speeds of data over the visible light, ultraviolet, and infrared, and Wi-fi for example uses radio waves as a transmitter of data. While we were researching about the technology, we found out a new thing that we could use the …

Retail Health & Safety Digital Management System, Anderson Oliveira Gomes, David Carvalho, Henrique Atanasio Wegner

ICT

Health and Safety procedures and documentations are one of the many tasks that need to be done by a small retail shop, they are also one of the most difficult things to manage daily as all those can build up during the day/week. Inside Health and Safety there are many subcategories that need to be administered (maintenances, trainings and checklists for example) which can be very overwhelming for any management team notably in small retail shops as they do not have the permanent personnel to be able to maintain an organised system.

This project aims to create a management software …

#Greener By Greentech, Ana Ospitaletche, Larissa Roseno, Jose Miguel Gonzalez, Amanda Brelaz

ICT

In recent years there has been growing concern about the negative impact humankind has on the planet. Companies and individuals are making efforts to mitigate their environmental impact. In this context and as individuals that care about the environment and try to lead a more sustainable life, we decided to research which elements could be stopping individuals from trying to implement changes in their daily habits.

One of the key conclusions of this research was that there is too much information, sometimes even conflicting, on how to lead a sustainable life.

#Greener aims to make a contribution by giving clear …

Evaluating Stochastic Rankings With Expected Exposure, Fernando Diaz, Bhaskar Mitra, Michael D. Ekstrand, Asia J. Biega, Ben Carterette

Computer Science Faculty Publications and Presentations

We introduce the concept of expected exposure as the average attention ranked items receive from users over repeated samples of the same query. Furthermore, we advocate for the adoption of the principle of equal expected exposure: given a fixed information need, no item should receive more or less expected exposure than any other item of the same relevance grade. We argue that this principle is desirable for many retrieval objectives and scenarios, including topical diversity and fair ranking. Leveraging user models from existing retrieval metrics, we propose a general evaluation methodology based on expected exposure and draw connections to related …

Cisc 4331 – Systems And Network Administration - Week 2, Jimmy Richford, Nyc Tech-In-Residence Corps

Open Educational Resources

Lecture 2 for CISC 4331: Systems and Network Administration