Computer Sciences Commons^™

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 …

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 …

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

Systems And Network Administration - Introduction, Jimmy Richford, Nyc Tech-In-Residence Corps

Open Educational Resources

Lecture for CISC 4311: Systems and Network Administration (Fall 2020)

Cisc 4331 – Systems And Network Administration - Week 5, Jimmy Richford, Nyc Tech-In-Residence Corps

Open Educational Resources

Lecture 5 for CISC 4331 - Systems and Network Administration

Cisc 4331 – Systems And Network Administration - Week 4, Jimmy Richford, Nyc Tech-In-Residence Corps

Open Educational Resources

Lecture 4 for CISC 4331 - Systems and Network Administration

Cisc 4331 – Systems And Network Administration - Week 3, Jimmy Richford, Nyc Tech-In-Residence Corps

Open Educational Resources

Lecture 3 for CISC 4331: Systems and Network Administration

Cisc 4331 – Systems And Network Administration Week 6, Jimmy Richford, Nyc Tech-In-Residence Corps

Open Educational Resources

Lecture 6 for CISC 4331 - Systems and Network Administration

Lecture - Csci 275: Linux Systems Administration And Security, Moe Hassan, Nyc Tech-In-Residence Corps

Open Educational Resources

Lecture for CSCI 275: Linux Systems Administration and Security

Asymptotically-Optimal Topological Nearest-Neighbor Filtering, Read Sandström, Jory Denny, Nancy M. Amato

Department of Math & Statistics Faculty Publications

Nearest-neighbor finding is a major bottleneck for sampling-based motion planning algorithms. The cost of finding nearest neighbors grows with the size of the roadmap, leading to a significant computational bottleneck for problems which require many configurations to find a solution. In this work, we develop a method of mapping configurations of a jointed robot to neighborhoods in the workspace that supports fast search for configurations in nearby neighborhoods. This expedites nearest-neighbor search by locating a small set of the most likely candidates for connecting to the query with a local plan. We show that this filtering technique can preserve asymptotically-optimal …

Topology-Guided Roadmap Construction With Dynamic Region Sampling, Read Sandström, Diane Uwacu, Jory Denny, Nancy M. Amato

Department of Math & Statistics Faculty Publications

Many types of planning problems require discovery of multiple pathways through the environment, such as multi-robot coordination or protein ligand binding. The Probabilistic Roadmap (PRM) algorithm is a powerful tool for this case, but often cannot efficiently connect the roadmap in the presence of narrow passages. In this letter, we present a guidance mechanism that encourages the rapid construction of well-connected roadmaps with PRM methods. We leverage a topological skeleton of the workspace to track the algorithm's progress in both covering and connecting distinct neighborhoods, and employ this information to focus computation on the uncovered and unconnected regions. We demonstrate …

Iot-Enabled Community Care For Ageing-In-Place: The Singapore Experience, Hwee-Pink Tan

Research Collection School Of Computing and Information Systems

The paradigm of ageing-in-place – where the elderly live and age in their own homes, independently and safely, with care provided by the community – is compelling, especially in societies that face both shortages in institutionalized eldercare resources, and rapidly ageing populations. When the number of elderly who live alone rises rapidly, support and care from their communities become increasing crucial. Internet of Things (IoT) technologies. They can become the fundamental enabler for smart community eldercare. In this presentation, I would like to share our experiences and learnings gathered from large-scale deployments of IoT systems in in-home and community spaces …

Testing Mediation Via Indirect Effects In Pls-Sem: A Social Networking Site Illustration, Murad Moqbel, Rakesh Guduru, Ahasan Harun

Information Systems Faculty Publications

Mediation analysis, in the context of structural equation modeling via partial least squares (PLSSEM), affords a better understanding of the relationships among independent and dependent variables, when the variables seem to not have a definite connection. In this paper, we demonstrate such an analysis in the context of social networking sites, using WarpPLS, a leading PLS-SEM software tool.

Analyzing Adverse Events From Publicly Available Web Sources, Alexander Salamun

Master's Theses (2009 -)

Data mining for drug-reaction associations is a major topic in the pharmaceutical industry. Historically the focus has been on using privately owned and maintained datasets consisting of information that has been transformed via the FDA Adverse Event Reporting System (FAERS) and privatized reporting systems that house the data from clinical trials. Our focus will be on building a pipeline that demonstrates an open source solution for building a drug’s safety profile from data collection through signal detection. In contrast this pipeline primarily uses the openFDA and social media data available through Reddit with all analysis being done in the R …

Towards Developing A Mobile-Based Care For Children With Asd Using Remote Experience Sampling Method (Mcare), Dipranjan Das

Master's Theses (2009 -)

Autism Spectrum Disorder (ASD) is the most prevalent among all of the neurodevelopmental disorders, which have increased 20-30 times in the last 50 years. A child with ASD requires regular monitoring, care, and support. But, the existing social-cultural-financial constraints and the scarcity of mental health care practitioners have deprived the families raising children with ASD in low-and middle-income countries (LMICs) like Bangladesh. However, the recent overwhelming adoption (~80%) of mobile phones has created an opportunity to improve the existing practice of care using affordable mobile applications. mCARE, a mobile-based care system, has been developed to reduce the gap between families …

Online Traffic Signal Control Through Sample-Based Constrained Optimization, Srishti Dhamija, Alolika Gon, Pradeep Varakantham, William Yeoh

Research Collection School Of Computing and Information Systems

Traffic congestion reduces productivity of individuals by increasing time spent in traffic and also increases pollution. To reduce traffic congestion by better handling dynamic traffic patterns, recent work has focused on online traffic signal control. Typically, the objective in traffic signal control is to minimize expected delay over all vehicles given the uncertainty associated with the vehicle turn movements at intersections. In order to ensure responsiveness in decision making, a typical approach is to compute a schedule that minimizes the delay for the expected scenario of vehicle movements instead of minimizing expected delay over the feasible vehicle movement scenarios. Such …

Agent-Based Modelling Of Values: The Case Of Value Sensitive Design For Refugee Logistics, Christine Boshuijzen-Van Burken, Ross J. Gore, Frank Dignum, Lamber Royakkers, Phillip Wozny, F. Leron Shults

VMASC Publications

We have used value sensitive design as a method to develop an agent-based model of values in humanitarian logistics for refugees. Schwartz’s theory of universal values is implemented in the model in such a way that agents can make value trade-offs, which are operationalized into a measure of refugee wellbeing and a measure of public opinion about how the refugee logistics is being handled. By trying out different ‘value scenarios’, stakeholders who are responsible for, or involved in refugee logistics can have insights into the effects of various value choices. The model is visualized and made usable as a platform …

Information Literacy Skills And The Use Of E-Library Resources Among Undergraduates In South-West Nigeria, Paul Adeoye Omosebi, Fehintoluwa E. Omosebi .

Library Philosophy and Practice (e-journal)

This study is a correlational survey study which investigates information literacy skills and the use of E-library resources among business administration undergraduates in south-west Nigeria. A sample size of 900 respondents was used but 800 questionnaires were retrieved. The target population for the study comprised of undergraduate business administration students in private universities in Southwest Nigeria. A simple random sampling technique was adopted for the purpose of this study. The questionnaire was the main instrument used for data collection and was divided into three sections namely demographic characteristics, information literacy and use of e-library among students in the private universities …

Evaluating Methods For Students To Identify And Clarify Doubts In Computing Design Courses, Eng Lieh Ouh, Benjamin Gan

Research Collection School Of Computing and Information Systems

This full paper evaluates the effectiveness of doubts identification and clarification methods applied in undergraduate computing design courses. Many undergraduate courses in computing require students to understand abstract design concepts. Exposed to the design concepts for the first time, students need to be able to identify and clarify their doubts about the abstract concepts in order to make the right design decisions. In this study, we seek to evaluate the effectiveness of six methods that help students to identify and clarify their doubts. These methods vary in their timing (immediate or delayed), communication style (online or face-to-face) and participation style …

Activity River: Visualizing Planned And Logged Personal Activities For Reflection, Bon Adriel Aseniero, Charles Perin, Wesley Willett, Anthony Tang, Sheelagh Carpendale

Research Collection School Of Computing and Information Systems

We present Activity River, a personal visualization tool which enables individuals to plan, log, and reflect on their self-defined activities. We are interested in supporting this type of reflective practice as prior work has shown that reflection can help people plan and manage their time effectively. Hence, we designed Activity River based on five design goals (visualize historical and contextual data, facilitate comparison of goals and achievements, engage viewers with delightful visuals, support authorship, and enable flexible planning and logging) which we distilled from the Information Visualization and Human-Computer Interaction literature. To explore our approach's strengths and limitations, we conducted …

Annapurna: An Automated Smartwatch-Based Eating Detection And Food Journaling System, Sougata Sen, Vigneshwaran Subbaraju, Archan Misra, Rajesh Krishna Balan, Youngki Lee

Research Collection School Of Computing and Information Systems

Maintaining a food journal can allow an individual to monitor eating habits, including unhealthy eating sessions, food items causing severe reactions, or portion size related information. However, manually maintaining a food journal can be burdensome. In this paper, we explore the vision of a pervasive, automated, completely unobtrusive, food journaling system using a commodity smartwatch. We present a prototype system — Annapurna— which is composed of three key components: (a) a smartwatch-based gesture recognizer that can robustly identify eating-specific gestures occurring anywhere, (b) a smartwatch-based image captor that obtains a small set of relevant images (containing views of the food …

A Centralised Multi-Objective Model Predictive Control For Biventricular Assist Devices, Vivian Koh Ci Ai

Student Works (2020-2029)

Heart failure is defined as failure of heart to deliver adequate blood flow rate to support tissue perfusion. Heart failure can be treated by implantation of a left ventricular assist device (LVAD) for left heart failure patients, or a biventricular assist device (BiVAD) for bi-heart failure patients. Since left heart failure predominates right heart failure, all commercial ventricular assist devices are LVADs. Therefore, two LVADs are frequently used as BiVAD for bi-heart failure patients. Clinically, the constant speed (CS) control of BiVAD fails to adapt pump flow rate according to physiological changes, thus putting patients at risk of ventricular suction …

A Critical Genre Analysis Of The User Requirement Specification Report In The Information Technology Industry, Shahizan Shaharuddin

Student Works (2020-2029)

While it has been established that discursive practices involving writing are highly situated and context-bound, few local studies have examined the processes involved in the construction of texts and the shaping of the intended text. Recent perspectives on writing as ways of working and acting, and texts as social action suggest that studying the processes behind the construction of a text could provide a clearer understanding of the discursive practices involved in the shaping of the text. This is seen as relevant to professional writing context in the present study as texts are often shaped to facilitate the social action …

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 …