Computer Sciences Commons^™

Mobile Solar Energy Environmental Control System With Remote Accessibility, Luis S. Garay

Theses and Dissertations

The proposed system, Mobile Solar Energy Environmental Control System with Remote Accessibility (mSEECS w/ RA), is based on the utilization of an already available Energy Storage Unit (ESU) in a Transport Unit System (TUS) to harness solar energy to provide a system to enhance the environment, safety and security of a TUS in a stationary or a mobile state by monitoring and controlling the operation of its onboard systems, and provide remote accessibility to know the state of affairs at any time. To relate to a real world application, the battery (ESU) of a vehicle (TUS) is underutilized …

A Growth Mindset Intervention Improves Interest But Not Academic Performance In The Field Of Computer Science, Jeni L. Burnette, Crystal L. Hoyt, V. Michelle Russell, Barry Lawson, Carol S. Dweck, Eli Finkel

Jepson School of Leadership Studies articles, book chapters and other publications

We investigated whether a growth mindset intervention could be leveraged to promote performance and interest in computer science, through what mechanisms it might do so, and whether effects were stronger for women than for men. In particular, we explored whether the growth mindset intervention improved academic performance and career interest by increasing intrinsic value. We developed and tested a scalable, online, 4-session growth mindset intervention at 7 universities, across 16 introductory computer science classes (N = 491). The intervention did not have a significant total effect on academic performance, although it indirectly improved grades via value. Additionally, the intervention, …

Concept Building Web Application, Jaime Becker

Computer Science

In this thesis, I have ported a python software application that is used for the collection of information for functional learning classifications into a web application. I have analyzed the problems in the previous software and created the new web application to address these problems using Flask, AppEngine, and Bootstrap. This web application mirrors the original software look and feel but adds several functionalities and improvements like support for multiple input modalities and a separate administrative and user view. I also present a proposed evaluation of the web application.

Csc 21700 Probability And Statistics For Computer Science, Evan Agovino, Nyc Tech-In-Residence Corps

Open Educational Resources

No abstract provided.

Csci 380-04 Selected Topics In Computer Science: Mobile Application And Product Development, Bhargava Chinthirla, Eric Spector, Nyc Tech-In-Residence Corps

Open Educational Resources

No abstract provided.

Csci 381/780 Data Analytics, Kumar Ramansenthil, Nyc Tech-In-Residence Corps

Open Educational Resources

No abstract provided.

Cis 356 Digital Trends And Transformations, Douglas Ng, Nyc Tech-In-Residence Corps

Open Educational Resources

No abstract provided.

Assessing The Effectiveness Of Computer Science Rpps: The Case Of Cafecs, Erin Henrick, Steven Mcgee, Ronald I. Greenberg, Lucia Dettori, Andrew M. Rasmussen, Don Yanek, Dale F. Reed

Computer Science: Faculty Publications and Other Works

Research Practice Partnerships (RPPs) are a relatively

recent development as a potential strategy to address the

complex challenges in computer science education. Consequently,

there is little guidance available for assessing the effectiveness of

RPPs. This paper describes the formative evaluation approach

used to assess the progress of the first year of the formalized RPP,

Chicago Alliance for Equity in Computer Science (CAFE´CS).

This paper contributes to the RPP literature by providing a case

study of how an RPP effectiveness framework can be adapted

and used to inform partnership improvement efforts in computer

science education.

Knowing Without Knowing: Real-Time Usage Identification Of Computer Systems, Leila Mohammed Hawana

Dissertations and Theses

Contemporary computers attempt to understand a user's actions and preferences in order to make decisions that better serve the user. In pursuit of this goal, computers can make observations that range from simple pattern recognition to listening in on conversations without the device being intentionally active. While these developments are incredibly useful for customization, the inherent security risks involving personal data are not always worth it. This thesis attempts to tackle one issue in this domain, computer usage identification, and presents a solution that identifies high-level usage of a system at any given moment without looking into any personal data. …

A Semester Long Classroom Course Mimicking A Software Company And A New Hire Experience For Computer Science Students Preparing To Enter The Software Industry, David A. Chamberlain

Master’s Theses and Projects

Students in a Computer Science degree programs must learn to code before they can be taught Software Engineering skills. This core skill set is how to program and consists of the constructs of various languages, how to create short programs or applications, independent assignments, and arrive at solutions that utilize the skills being covered in the language for that course (Chatley & Field, 2017). As an upperclassman, students will often be allowed to apply these skills in newer ways and have the opportunity to work on longer, more involved assignments although frequently still independent or in small groups of two …

Adaptive Strategies Of Multi-Objective Optimization For Greener Networks, Hatem Yazbek

CCAC Theses and Dissertations

Increasing energy costs and environmental issues related to the Internet and wired networks continue to be a major concern. Energy-efficient or power-aware networks continue to gain interest in the research community. Existing energy reduction approaches do not fully address all aspects of the problem. We consider the problem of reducing energy by turning off network links, while achieving acceptable load balance, by adjusting link weights. Changing link weights frequently can cause network oscillation or instability in measuring the resulting traffic load, which is a situation to be avoided. In this research, we optimize two objectives, which are minimizing network power …

Reduction Of False Positives In Intrusion Detection Based On Extreme Learning Machine With Situation Awareness, Donald A. Burgio

CCAC Theses and Dissertations

Protecting computer networks from intrusions is more important than ever for our privacy, economy, and national security. Seemingly a month does not pass without news of a major data breach involving sensitive personal identity, financial, medical, trade secret, or national security data. Democratic processes can now be potentially compromised through breaches of electronic voting systems. As ever more devices, including medical machines, automobiles, and control systems for critical infrastructure are increasingly networked, human life is also more at risk from cyber-attacks. Research into Intrusion Detection Systems (IDSs) began several decades ago and IDSs are still a mainstay of computer and …

Assessing The Presence Of Mindfulness Within Cyber And Non-Cybersecurity Groups, Christopher Wilder

CCAC Theses and Dissertations

Corporations and individuals continue to be under Phishing attack. Researchers categorizes methods corporations and individuals can employ to reduce the impact of being caught in a Phishing scheme. Corporation enable technical mechanisms such as automated filtering, URL blacklisting, and manipulation of browser warning messages to reduce phishing susceptibility costing billions of dollars annually. However, even with robust efforts to educate employees about phishing techniques through security awareness training the abundance of attacks continues to plague organizations. This study aims to identify whether a correlation exists between mindfulness and phishing susceptibility. The goal of this research is to determine if mindful …

Improving Random Forests By Feature Dependence Analysis, Silu Zhang

Electronic Theses and Dissertations

Random forests (RFs) have been widely used for supervised learning tasks because of their high prediction accuracy good model interpretability and fast training process. However they are not able to learn from local structures as convolutional neural networks (CNNs) do when there exists high dependency among features. They also cannot utilize features that are jointly dependent on the label but marginally independent of it. In this dissertation we present two approaches to address these two problems respectively by dependence analysis. First a local feature sampling (LFS) approach is proposed to learn and use the locality information of features to group …

Gms - Guest Management System, Ethan Clark

Williams Honors College, Honors Research Projects

This paper examines the benefits of custom built as opposed to licensed software, using a guest management system as a comparison. The University of Akron employs a web application that allows residents to check guests into each residence hall on campus. In addition to this paper, a custom web application was built to contrast against the university's current system and to recognize the issues raised by its employee staff. This paper is written using the software development lifecycle as its main structure; the planning and analysis through the development process is discussed at length.

Visual Programming Language With Natural User Interface, Matthew Britton

Williams Honors College, Honors Research Projects

One of the fastest-growing fields of interest in computer science, fueled primarily by gaming, is the Natural User Interface (NUI). NUI encompasses technologies which would replace the typical mouse-and-keyboard approach to interaction with computer systems, with the goal of making human-computer interactions more similar to face-to-face interpersonal interactions. This is done by using technologies such as gesture recognition or speech recognition and speech synthesis, which use interpersonal skills we learn and practice on a daily basis. Visual Programming Languages (VPLs) are languages that allow the creation of a program by arranging graphical representations of program behavior, rather than textual program …

Content Management System, Raymond Gines

Williams Honors College, Honors Research Projects

The Imprint CMS (Content Management System) aims to emulate the key features of popular existing CMS applications such as Wordpress, Drupal, Magento, etc. This will be a lightweight alternative that can be used to kick start a digital presence by producing landing pages, product pages, and blog posts with ease. Individuals will be able to register and create their own account that will be secured in a database that they can use to login and manage their pages and posts. In addition, they will have the option of changing multiple settings such as the theme and color scheme of their …

U.S. Census Explorer: A Gui And Visualization Tool For The U.S. Census Data Api, Timothy Snyder

Williams Honors College, Honors Research Projects

U.S. Census Explorer is a software application that is designed to provide tools for intuitive exploration and analysis of United States census data for non-technical users. The application serves as an interface into the U.S. Census Bureau’s data API that enables a complete workflow from data acquisition to data visualization without the need for technical intervention from the user. The suite of tools provided include a graphical user interface for dynamically querying U.S. census data, geographic visualizations, and the ability to download your work to common spreadsheet and image formats for inclusion in external works.

A Survey Of Attention Deficit Hyperactivity Disorder Identification Using Psychophysiological Data, S. De Silva, S. Dayarathna, G. Ariyarathne, D. Meedeniya, Sampath Jayarathna

Computer Science Faculty Publications

Attention Deficit Hyperactivity Disorder (ADHD) is one of the most common neurological disorders among children, that affects different areas in the brain that allows executing certain functionalities. This may lead to a variety of impairments such as difficulties in paying attention or focusing, controlling impulsive behaviours and overreacting. The continuous symptoms may have a severe impact in the long-term. This paper explores the ADHD identification studies using eye movement data and functional Magnetic Resonance Imaging (fMRI). This study discusses different machine learning techniques, existing models and analyses the existing literature. We have identified the current challenges and possible future directions …

Sec-Lib: Protecting Scholarly Digital Libraries From Infected Papers Using Active Machine Learning Framework, Nir Nissim, Aviad Cohen, Jian Wu, Andrea Lanzi, Lior Rokach, Yuval Elovici, Lee Giles

Computer Science Faculty Publications

Researchers from academia and the corporate-sector rely on scholarly digital libraries to access articles. Attackers take advantage of innocent users who consider the articles' files safe and thus open PDF-files with little concern. In addition, researchers consider scholarly libraries a reliable, trusted, and untainted corpus of papers. For these reasons, scholarly digital libraries are an attractive-target and inadvertently support the proliferation of cyber-attacks launched via malicious PDF-files. In this study, we present related vulnerabilities and malware distribution approaches that exploit the vulnerabilities of scholarly digital libraries. We evaluated over two-million scholarly papers in the CiteSeerX library and found the library …

Using Case Studies To Teach Cybersecurity Courses, Yu Cai

Journal of Cybersecurity Education, Research and Practice

This paper introduces a holistic and case-analysis teaching model by integrating case studies into cybersecurity courses. The proposed model starts by analyzing real-world cyber breaches. Students look into the details of these attacks and learn how these attacks took place from the beginning to the end. During the process of case analysis, a list of security topics reflecting different aspects of these breaches is introduced. Through guided in-class discussion and hands-on lab assignments, student learning in lecture will be reinforced. Overall, the entire cybersecurity course is driven by case studies. The proposed model is great for teaching cybersecurity. First, the …

Annotation-Enabled Interpretation And Analysis Of Time-Series Data, Niveditha Venugopal

Dissertations and Theses

As we continue to produce large amounts of time-series data, the need for data analysis is growing rapidly to help gain insights from this data. These insights form the foundation of data-driven decisions in various aspects of life. Data annotations are information about the data such as comments, errors and provenance, which provide context to the underlying data and aid in meaningful data analysis in domains such as scientific research, genomics and ECG analysis. Storing such annotations in the database along with the data makes them available to help with analysis of the data. In this thesis, I propose a …

Csc 59939 Topics In Modern Software Engineering, Nikolai Avteniev, Nyc Tech-In-Residence Corps

Open Educational Resources

No abstract provided.

Csc 59970 Introduction To Data Science, Grant Long, Nyc Tech-In-Residence Corps

Open Educational Resources

No abstract provided.

Csc 322 Software Engineering, William Chan, Nyc Tech-In-Residence Corps

Open Educational Resources

No abstract provided.

Csci 39549 Agile Software Development, Arylee Mcsweany, Rebecca Sliter, Nyc Tech-In-Residence Corps

Open Educational Resources

No abstract provided.

Csc 480 Artificial Intelligence, Ernest Battifarano, Nyc Tech-In-Residence Corps

Open Educational Resources

No abstract provided.

Using Magic In Computing Education And Outreach, Ronald I. Greenberg, Dale F. Reed

Computer Science: Faculty Publications and Other Works

This special session explores the use of magic tricks based on computer science ideas; magic tricks help grab students' attention and can motivate them to invest more deeply in underlying CS concepts. Error detection ideas long used by computer scientists provide a particularly rich basis for working such "magic'', with a CS Unplugged parity check activity being a notable example. Prior work has shown that one can perform much more sophisticated tricks than the relatively well-known CS Unplugged activity, and these tricks can motivate analyses across a wide variety of computer science concepts and are relevant to learning objectives across …

Cmp 464 Web Programming, Ross Dakin, Nyc Tech-In-Residence Corps

Open Educational Resources

No abstract provided.

Minutes & Seconds: The Scientists, Patrick Aievoli

Zea E-Books Collection

Minutes & Seconds, is a captivating intelligible read for those who strive to understand where the “what if” moment has gone. Succeeding his other captivating books, Aievoli’s deep introspective lens dials his readers in to awaken the proverbial sleeping giant inside of our consciousness. He designs an insightful exciting romp through the surreal landscape of our society and illustrates how various pioneers have lead us to a crossroads. I’m truly impressed with Aievoli’s perspicacious comprehension of where digital has taken us through the hands of these select individuals. --Sequoyah Wharton

In creating Minutes & Seconds, Aievoli has assembled an interesting …