Computer Sciences Commons^™

Chicago Alliance For Equity In Computer Science (Cafecs): Cycles Of Improvement, Steven Mcgee, Lucia Dettori, Don Yanek, Andrew M. Rasmussen, Ronald I. Greenberg, Dale F. Reed, Erin Henrick

Computer Science: Faculty Publications and Other Works

No abstract provided.

Monitoring Meaningful Activities Using Small Low-Cost Devices In A Smart Home, Jordan Tewell, Dympna O'Sullivan, Neil Maiden, James Lockerbie, Simone Stumpf

Articles

A challenge associated with an ageing population is increased demand on health and social care, creating a greater need to enable persons to live independently in their own homes. Ambient assistant living technology aims to address this by monitoring occupants’ ‘activities of daily living’ using smart home sensors to alert caregivers to abnormalities in routine tasks and deteriorations in a person’s ability to care for themselves. However, there has been less focus on using sensing technology to monitor a broader scope of so-called ‘meaningful activities’, which promote a person’s emotional, creative, intellectual, and spiritual needs. In this paper, we describe …

Lecture 8: Mobile Application And Product Development, Nyc Tech-In-Residence Corps

Open Educational Resources

Lecture for the course "CSCI 380 - Mobile Application and Product Development" delivered at John Jay College in Spring 2019 by Bhargava Chinthirla and Eric Spector as part of the Tech-in-Residence Corps program.

Lecture 11: Mobile Application And Product Development, Nyc Tech-In-Residence Corps, Eric Spector, Bhargava Chinthirla

Open Educational Resources

Lecture for the course "CSCI 380 - Mobile Application and Product Development" delivered at John Jay College in Spring 2019 by Bhargava Chinthirla and Eric Spector as part of the Tech-in-Residence Corps program.

Modeling And Economic Analysis Of A Crop–Livestock Production System Incorporating Cereal Rye As A Forage, Eric R. Coufal

Department of Agricultural Economics: Dissertations, Theses, and Student Research

This thesis consists of two chapters using agent-based modeling for a crop-livestock production system incorporating human labor. The first chapter examines the principles used to develop a fundamental simulation pertaining to grazing cereal rye (Secale cereal L.) with calves. Within the software guidelines, the base model has the ability to capture diverse system interactions between livestock/plants and land management with human labor efficiency. AnyLogic incorporates agent-based modeling while combining with discrete event modeling and system dynamics. The purpose of the model was to find the economic returns of grazing cover crops relative to the area of Mead, Nebraska. In …

Analysis And Comparison Of Multiple Approaches For Software Development Management As Applied To A Design Studio Project, Bethany Hage

Honors Program: Senior Projects (Public)

This research analyzes multiple approaches to software development management through the lens of my experience in the Raikes Design Studio capstone program. The Design Studio project I participated in was a project for the company Hudl, and throughout its course we used techniques from the Agile framework of Scrum. I compared the Scrum principles to my team’s own application over the course of the project, and I researched other software development methodologies such as Extreme Programming and Lean in order to determine whether they could improve the effectiveness of the current Design Studio experience. The proposed solution to this question …

Machine Learning For Real-Time Data-Driven Security Practices, Shane Coleman

Theses

The risk of cyber-attacks exploiting vulnerable organisations has increased significantly over the past several years. Cyber-attacks can be described as any type of aggressive strategy which targets computer information systems, computer networks, personal computer systems or other organisational infrastructures which may originate internally or externally. These attacks may combine to exploit a vulnerability breach within a system’s protection strategy which has the potential for loss, damage or destruction of assets. Consequently, every vulnerability has an accompanying risk which is defined as the “intersection of assets, threats, and vulnerabilities”.

This research project uses various types of recommender system techniques, employed for …

Measuring Interactive Narrative Quality With Experience Management As Story Graph Pruning, Jean-Paul Jeunesse

Senior Honors Theses

An interactive narrative in a virtual environment is created through player and system interaction, often through an experience manager controlling the actions of all non-player characters (NPCs). Thus, the narrative (and its quality) is entirely dependent on a conflicting combination of unpredictability from the player and a controlled environment that must react to this unpredictability. Ideally, the experience manager should decide NPC actions in a way that never limits player freedom and shows the NPCs acting in believable manners to create a story that can be meaningfully affected by the player and feels organic. One solution to this is to …

Identification Of Rna Binding Proteins And Rna Binding Residues Using Effective Machine Learning Techniques, Reecha Khanal

Senior Honors Theses

Identification and annotation of RNA Binding Proteins (RBPs) and RNA Binding residues from sequence information alone is one of the most challenging problems in computational biology. RBPs play crucial roles in several fundamental biological functions including transcriptional regulation of RNAs and RNA metabolism splicing. Existing experimental techniques are time-consuming and costly. Thus, efficient computational identification of RBPs directly from the sequence can be useful to annotate RBP and assist the experimental design. Here, we introduce AIRBP, a computational sequence-based method, which utilizes features extracted from evolutionary information, physiochemical properties, and disordered properties to train a machine learning method designed using …

The Ethics Of Cookies: Exploring The Collection Of Big Data And Its Ramifications, Sarah Biely 19

Honor Scholar Theses

Technology is taking over the world. In every aspect of human life, technology has been able to provide some sort of help or solution. At the forefront of this revolution is the Internet and with it, the activity of day-to-day life that now takes place online. This rapid takeover pushes technological innovations to develop quickly, pushing boundaries and creating a new way of life.

Today in the United States, websites are allowed to track user data. When a user clicks on a website that intends on documenting the user's actions, the website installs a tracker, otherwise known as "cookie." Websites …

Detecting Abnormal Social Robot Behavior Through Emotion Recognition, Subhash Rajapaksha Rajapaksha Pathiranage

Master's Theses (2009 -)

Sharing characteristics with both the Internet of Things and the Cyber Physical Systems categories, a new type of device has arrived to claim a third category and raise its very own privacy concerns. Social robots are in the market asking consumers to become part of their daily routine and interactions. Ranging in the level and method of communication with the users, all social robots are able to collect, share and analyze a great variety and large volume of personal data.In this thesis, we focus the community’s attention to this emerging area of interest for privacy and security research. We …

Deep Learning For Document Image Analysis, Christopher Alan Tensmeyer

Theses and Dissertations

Automatic machine understanding of documents from image inputs enables many applications in modern document workflows, digital archives of historical documents, and general machine intelligence, among others. Together, the techniques for understanding document images comprise the field of Document Image Analysis (DIA). Within DIA, the research community has identified several sub-problems, such as page segmentation and Optical Character Recognition (OCR). As the field has matured, there has been a trend of moving away from heuristic-based methods, designed for particular tasks and domains of documents, and moving towards machine learning methods that learn to solve tasks from examples of input/output pairs. Within …

Variable Speed Limit Control At Sag Curves Through Connected Vehicles: Implications Of Alternative Communications And Sensing Technologies, Reza Vatani Nezafat

Civil & Environmental Engineering Theses & Dissertations

Connected vehicles (CVs) will enable new applications to improve traffic flow. This study’s focus is to investigate how potential implementation of variable speed limit (VSL) through different types of communication and sensing technologies on CVs may improve traffic flow at a sag curve. At sag curves, the gradient changes from negative to positive values which causes a reduction in the roadway capacity and congestion. A VSL algorithm is developed and implemented in a simulation environment for controlling the inflow of vehicles to a sag curve on a freeway to minimize delays and increase throughput. Both vehicle-to-vehicle (V2V) and infrastructure-to-vehicle (I2V) …

Bifurcation In Weighted Digraphs And Their Applications In Ecology, Kehinde Irabor

Dissertations (1934 -)

Merrill (2010) described bifurcation in a Markov chain by examining the eigenvalues of the associated probability matrix. The bifurcation point is that point where the dynamics of the system’s structure changes. He recognized a change in the dynamics of a sample path in a Markov chain when the nature of its eigenvalues changes. We built upon this work and found that not all changes in Markov chain dynamics are accompanied by change in the nature of the eigenvalues. And we introduce other measures that will recognize a change in dynamics. This was applied to solve the problem of evaluating the …

Evaluating Electrode-Tissue Contact Force Using The Moving Pattern Of The Catheter Tip And The Electrogram Characteristics, Xuyong Yu

Dissertations (1934 -)

As an important reference for the physician during catheter ablation, the electrode-tissue contact force (CF), is one of the key points for the success of the catheter ablation. With the guide of CF sensing, the ablation procedure can be safer and more effective. Techniques and apparatus have been refined since catheter ablation was invented to treat cardiac arrhythmia. In the review part, different techniques for evaluating the electrode-tissue CF are discussed, including both direct and indirect measurement. Sensor-based direct measurement is broadly applied but restricted by the high cost. Surrogate markers of catheter-tissue contact such as impedance, electrogram (EGM) quality, …

Best (Biomarker Estimation): Health Biomarker Estimation Non-Invasively And Ubiquitously, Md Kamrul Hasan

Dissertations (1934 -)

This dissertation focuses on the non-invasive assessment of blood-hemoglobin levels. The primary goal of this research is to investigate a reliable, affordable, and user-friendly point-of-care solution for hemoglobin-level determination using fingertip videos captured by a smartphone. I evaluated videos obtained from five patient groups, three from the United States and two from Bangladesh, under two sets of lighting conditions. In the last group, based on human tissue optical transmission modeling data, I used near-infrared light-emitting diode sources of three wavelengths. I developed novel image processing techniques for fingertip video analysis to estimate hemoglobin levels. I studied video images creating image …

Underground Environment Aware Mimo Design Using Transmit And Receive Beamforming In Internet Of Underground Things, Abdul Salam

Faculty Publications

In underground (UG) multiple-input and multiple-output (MIMO), the transmit beamforming is used to focus energy in the desired direction. There are three different paths in the underground soil medium through which the waves propagates to reach at the receiver. When the UG receiver receives a desired data stream only from the desired path, then the UG MIMO channel becomes three path (lateral, direct, and reflected) interference channel. Accordingly, the capacity region of the UG MIMO three path interference channel and degrees of freedom (multiplexing gain of this MIMO channel requires careful modeling). Therefore, expressions are required derived the degrees of …

On Efficiency Of Artifact Lookup Strategies In Digital Forensics, Lorenz Liebler, Patrick Schmitt, Harald Baier, Frank Breitinger

Electrical & Computer Engineering and Computer Science Faculty Publications

In recent years different strategies have been proposed to handle the problem of ever-growing digital forensic databases. One concept to deal with this data overload is data reduction, which essentially means to separate the wheat from the chaff, e.g., to filter in forensically relevant data. A prominent technique in the context of data reduction are hash-based solutions. Data reduction is achieved because hash values (of possibly large data input) are much smaller than the original input. Today's approaches of storing hash-based data fragments reach from large scale multithreaded databases to simple Bloom filter representations. One main focus was put on …

Dynamic Student Classification On Memory Networks For Knowledge Tracing, Sein Minn, Michel C. Desmarais, Feida Zhu, Jing Xiao, Jianzong Wang

Research Collection School Of Computing and Information Systems

Knowledge Tracing (KT) is the assessment of student’s knowledge state and predicting whether that student may or may not answer the next problem correctly based on a number of previous practices and outcomes in their learning process. KT leverages machine learning and data mining techniques to provide better assessment, supportive learning feedback and adaptive instructions. In this paper, we propose a novel model called Dynamic Student Classification on Memory Networks (DSCMN) for knowledge tracing that enhances existing KT approaches by capturing temporal learning ability at each time interval in student’s long-term learning process. Experimental results confirm that the proposed model …

Faster First-Order Methods For Stochastic Non-Convex Optimization On Riemannian Manifolds, Pan Zhou, Xiao-Tong Yuan, Jiashi Feng

Research Collection School Of Computing and Information Systems

SPIDER (Stochastic Path Integrated Differential EstimatoR) is an efficient gradient estimation technique developed for non-convex stochastic optimization. Although having been shown to attain nearly optimal computational complexity bounds, the SPIDERtype methods are limited to linear metric spaces. In this paper, we introduce the Riemannian SPIDER (R-SPIDER) method as a novel nonlinear-metric extension of SPIDER for efficient non-convex optimization on Riemannian manifolds. We prove that for finitesum problems with n components, R-SPIDER converges to an -accuracy stationary point within O min n + √ n 2 , 1 3 stochastic gradient evaluations, which is sharper in magnitude than the prior Riemannian …

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

Open Educational Resources

No abstract provided.

Revocable Attribute-Based Encryption With Decryption Key Exposure Resistance And Ciphertext Delegation, Shengmin Xu, Guomin Yang, Yi Mu

Research Collection School Of Computing and Information Systems

Attribute-based encryption (ABE) enables fine-grained access control over encrypted data. A practical and popular approach for handing revocation in ABE is to use the indirect revocation mechanism, in which a key generation centre (KGC) periodically broadcasts key update information for all data users over a public channel. Unfortunately, existing RABE schemes are vulnerable to decryption key exposure attack which has been well studied in the identity-based setting. In this paper, we introduce a new notion for RABE called re-randomizable piecewise key generation by allowing a data user to re-randmomize the combined secret key and the key update to obtain the …

Efficient Algorithms For Solving Aggregate Keyword Routing Problems, Qize Jiang, Weiwei Sun, Baihua Zheng, Kunjie Chen

Research Collection School Of Computing and Information Systems

With the emergence of smart phones and the popularity of GPS, the number of point of interest (POIs) is growing rapidly and spatial keyword search based on POIs has attracted significant attention. In this paper, we study a more sophistic type of spatial keyword searches that considers multiple query points and multiple query keywords, namely Aggregate Keyword Routing (AKR). AKR looks for an aggregate point m together with routes from each query point to m. The aggregate point has to satisfy the aggregate keywords, the routes from query points to the aggregate point have to pass POIs in order to …

Question Answering With Textual Sequence Matching, Shuohang Wang

Dissertations and Theses Collection (Open Access)

Question answering (QA) is one of the most important applications in natural language processing. With the explosive text data from the Internet, intelligently getting answers of questions will help humans more efficiently collect useful information. My research in this thesis mainly focuses on solving question answering problem with textual sequence matching model which is to build vectorized representations for pairs of text sequences to enable better reasoning. And our thesis consists of three major parts.

In Part I, we propose two general models for building vectorized representations over a pair of sentences, which can be directly used to solve the …

Modeling Sequential And Basket-Oriented Associations For Top-K Recommendation, Duc-Trong Le Duc Trong

Dissertations and Theses Collection (Open Access)

Top-K recommendation is a typical task in Recommender Systems. In traditional approaches, it mainly relies on the modeling of user-item associations, which emphasizes the user-specific factor or personalization. Here, we investigate another direction that models item-item associations, especially with the notions of sequence-aware and basket-level adoptions . Sequences are created by sorting item adoptions chronologically. The associations between items along sequences, referred to as “sequential associations”, indicate the influence of the preceding adoptions on the following adoptions. Considering a basket of items consumed at the same time step (e.g., a session, a day), “basket-oriented associations” imply correlative dependencies among these …

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

Open Educational Resources

No abstract provided.

A Dendritic Cell Algorithm Based Approach For Malicious Tcp Port Scanning Detection, Nuha Yousef Al Masalmeh

Information Security Theses

The proliferation of cyber-attacks is accompanied by an urgent need to develop sophisticated detection tools. Some of these tools are based on algorithms inspired by the Human Immune System (HIS). The Dendritic Cell Algorithm (DCA) is one of such HIS inspired methods, which is based on the Danger theory model. In this thesis, two types of DCA algorithms are identified, namely the deterministic a classical DCA in order to improve the algorithm's applicability and performance to detect TCP port scanning. This algorithm consists of components based on the behavior of Human dendritic cells, which involves four categories of the input …

Hinge Region In Dna Packaging Terminase Pul15 Of Herpes Simplex Virus: A Potential Allosteric Target For Antiviral Drugs, Lana Faisal Thaljeh

Honors Capstones

No abstract provided.

Moderating Influence As A Design Principle For Human-Swarm Interaction, C Chace Ashcraft

Theses and Dissertations

Robot swarms have recently become of interest in both industry and academia for their potential to perform various difficult or dangerous tasks efficiently. As real robot swarms become more of a possibility, many desire swarms to be controlled or directed by a human, which raises questions regarding how that should be done. Part of the challenge of human-swarm interaction is the difficulty of understanding swarm state and how to drive the swarm to produce emergent behaviors. Human input could inhibit desirable swarm behaviors if their input is poor and has sufficient influence over swarm agents, affecting its overall performance. Thus, …

Exploring And Visualizing Household Electricity Consumption Patterns In Singapore: A Geospatial Analytics Approach, Yong Ying Tan, Tin Seong Kam

Research Collection School Of Computing and Information Systems

Despite being a small country-state, electricity consumption in Singa-pore is said to be non-homogeneous, as exploratory data analysis showed that the distributions of electricity consumption differ across and within administrative boundaries and dwelling types. Local indicators of spatial association (LISA) were calculated for public housing postal codes using June 2016 data to discover local clusters of households based on electricity consumption patterns. A detailed walkthrough of the analytical process is outlined to describe the R packages and framework used in the R environment. The LISA results are visualized on three levels: country level, regional level and planning subzone level. At …