Computer Sciences Commons^™

Blind Change Point Detection And Regime Segmentation Using Gaussian Process Regression, Sourav Das

Theses and Dissertations

Time-series analysis is used heavily in modeling and forecasting weather, economics, medical data as well as in various other fields. Change point detection (CPD) means finding abrupt changes in the time-series when the statistical property of a certain part of it starts to differ. CPD has attracted a lot of attention in the artificial intelligence, machine learning and data mining communities. In this thesis, a novel CPD algorithm is introduced for segmenting multivariate time-series data. The proposed algorithm is a general pipeline to process any high dimensional multivariate time-series data using nonlinear non-parametric dynamic system. It consists of manifold learning …

Mobile Application For Shipping Goods For Individuals And Truckers In India, Sendurr Selvaraj

Theses and Dissertations

India is a vast country with majority of its cities and towns connected through roads. Road transportation contributes to 86% share of the freight transport of the country with trucking companies dominating the entire space. With growing economy and demands raising, the quality of service of the trucking company remains poor. The major reasons are unorganized practice and lack of transparency. Moreover, limited access for customers to reach out to truckers to transport their goods.

This thesis aims to create a platform for customers and truckers to realize their needs with a help of a mobile application. Customers can search …

Queryable Compression For Massively Streaming Social Networks, Chandra N. Sekharan, Sridhar Radhakrishnan, Ben Nelson, Amlan Chatterjee

Computer Science: Faculty Publications and Other Works

The social networks of today are a set of massive, dynamically changing graph structures. Each of these graphs contain a set of nodes (individuals) and a set of edges among the nodes (relationships). The choice of representation of a graph determines what information is easy to obtain from it. However, many social network graphs are so large that even their basic representations (e.g. adjacency lists) do not fit in main memory. Hence an ongoing field of study has focused on designing compressed representations of graphs that facilitate certain query functions.This work is based on representing dynamic social networks that we …

A Neural Network Approach To Visibility Range Estimation Under Foggy Weather Conditions, Hazar Chaabani, Faouzi Kamoun, Hichem Bargaoui, Fatma Outay, Ansar Ul Haque Yasar

All Works

© 2017 The Authors. Published by Elsevier B.V. The degradation of visibility due to foggy weather conditions is a common trigger for road accidents and, as a result, there has been a growing interest to develop intelligent fog detection and visibility range estimation systems. In this contribution, we provide a brief overview of the state-of-the-art contributions in relation to estimating visibility distance under foggy weather conditions. We then present a neural network approach for estimating visibility distances using a camera that can be fixed to a roadside unit (RSU) or mounted onboard a moving vehicle. We evaluate the proposed solution …

Enterprise Systems: The Quality Of System Outputs And Their Perceived Business Value, Ahed Abugabah

All Works

Copyright © 2017 by SCITEPRESS - Science and Technology Publications, Lda. All rights reserved. Organizations are exploring the opportunities offered by information technology to reduce cost and improve overall performance and gain more efficiency. Enterprise Resource Planning Systems are viewed as powerful solutions that help improve productivity, performance and overall quality. However, effective use and beneficial outcomes from such systems are nether guaranteed nor recognized. This study aimed at evaluating the business value of ERP systems and perceived benefits at the user level. This short paper briefly presenting some empirical results related enterprise system impacts and benefits. The reported results …

Human-Centered Authentication Guidelines, Jeremiah Still, Ashley Cain, David Schuster

Faculty Publications

PurposeDespite the widespread use of authentication schemes and the rapid emergence of novel authentication schemes, a general set of domain-specific guidelines has not yet been developed. This paper aims to present and explain a list of human-centered guidelines for developing usable authentication schemes.Design/methodology/approachThe guidelines stem from research findings within the fields of psychology, human–computer interaction and information/computer science.FindingsInstead of viewing users as the inevitable weak point in the authentication process, this study proposes that authentication interfaces be designed to take advantage of users’ natural abilities. This approach requires that one understands how interactions with authentication interfaces can be improved and …

Three-Dimensional Wireless Ad Hoc And Sensor Networks 2016, Soo Chang Park, Babar Shah, Euisin Lee, Ki Il Kim

All Works

No abstract provided.

Robustness Evaluation For Phylogenetic Reconstruction Methods And Evolutionary Models Reconstruction Of Tumor Progression, Jun Zhou

Theses and Dissertations

During evolutionary history, genomes evolve by DNA mutation, genome rearrangement, duplication and gene loss events. There has been endless effort to the phylogenetic and ancestral genome inference study. Due to the great development of various technology, the information about genomes is exponentially increasing, which make it possible figure the problem out. The problem has been shown so interesting that a great number of algorithms have been developed rigorously over the past decades in attempts to tackle these problems following different kind of principles. However, difficulties and limits in performance and capacity, and also low consistency largely prevent us from confidently …

Improving Peptide Identification By Considering Ordered Amino Acid Usage, Ahmed Al-Qurri

Theses and Dissertations

Proteomics has made major progress in recent years after the sequencing of the genomes of a substantial number of organisms. A typical method for identifying peptides uses a database of peptides identified using tandem mass spectrometry (MS/MS). The profile of accurate mass and elution time (AMT) for peptides that need to be identified will be compared with this database. Restricting the search to those peptides detectable by MS will reduce processing time and more importantly increase accuracy. In addition, there are significant impacts for clinical studies. Proteotypic peptides are those peptides in a protein sequence that are most likely to …

Improving Facial Action Unit Recognition Using Convolutional Neural Networks, Shizhong Han

Theses and Dissertations

Recognizing facial action units (AUs) from spontaneous facial expression is a challenging problem, because of subtle facial appearance changes, free head movements, occlusions, and limited AU-coded training data. Most recently, convolutional neural networks (CNNs) have shown promise on facial AU recognition. However, CNNs are often overfitted and do not generalize well to unseen subject due to limited AU-coded training images. In order to improve the performance of facial AU recognition, we developed two novel CNN frameworks, by substituting the traditional decision layer and convolutional layer with the incremental boosting layer and adaptive convolutional layer respectively, to recognize the AUs from …

Investigate Genomic 3d Structure Using Deep Neural Network, Yan Zhang

Theses and Dissertations

The 3D structures of the chromosomes play fundamental roles in essential cellular functions, e.g., gene regulation, gene expression, evolution and Hi-C technique provides the interaction density between loci on chromosomes. In this dissertation, we developed multiple algorithms, focusing the deep learning approach, to study the Hi-C datasets and the genomic 3D structures.

Building 3D structure of the genome one of the most critical purpose of the Hi-C technique. Recently, several approaches have been developed to reconstruct the 3D model of the chromosomes from HiC data. However, all of the methods are based on a particular mathematical model and lack of …

Advances On Software Defined Wireless Networking, D. B. Rawat, M. Song, C. Xin

Electrical & Computer Engineering Faculty Publications

Software defined wireless networking is regarded as an emerging technology to enhance spectrum efficiency and improve the overall network performance. In this paper, we summarise the special issue on recent advances in software defined wireless networking. Specifically, this special issue publishes following findings: i) a novel context aware medium access control scheme for multichannel buffer-aided cognitive networks to reduce the delay by exploiting the packets’ contexts; ii) a utility-based uplink scheduling algorithm that accommodates different performance metrics and adapts its decisions based on user-specified profiles by incorporating an intermediary layer between the MAC and network layer; iii) an opportunistic spectrum …

Real-Time Fall Detection And Response On Mobile Phones Using Machine Learning, Ilona Shparii

Master's Theses

Falls are common and often dangerous for groups with impaired mobility, like the elderly or people with lower limb amputations. Finding ways of minimizing the frequency or impact of a fall can improve quality of life dramatically. When someone does fall, real-time detection of the fall and a long-lie can trigger fast medical assistance. Such a system can also collect reliable data on the nature of real-world falls that can be used to better understand the circumstances, to aid in prevention efforts. This work has been to develop a real-time fall tracking system specifically for subjects with lower limb amputations. …

A Mobile App Illustrating Sensory Neural Coding Through An Efficient Coding Of Collected Images And Sounds, Xiaolu Zhao

Master's Theses

Sensory neuroscience in the early auditory and visual systems appears distinct not

only to outside observers, but to many trained neuroscientists as well. However, to a computational neuroscientist, both sensory systems represent an efficient neural coding of information. In fact, on a computational level it appears the brain is using the same processing strategy for both senses - the same algorithm with just a change in inputs. Insights like this can greatly simplify our understanding of the brain, but require a significant computational background to fully appreciate. How can such illuminating results of computational neuroscience be made more accessible to …

Teaching Hands-On Cyber Defense Labs To Middle School And High School Students: Our Experience From Gencyber Camps, Peng Jiang, Xin Tian, Chunsheng Xin, Wu He

Electrical & Computer Engineering Faculty Publications

With the high demand of the nation for next generation cybersecurity experts, it is important to design and provide hands-on labs for students at the K-12 level in order to increase their interest in cybersecurity and enhance their confidence in learning cybersecurity skills at the young age. This poster reports some preliminary analysis results from the 2016 GenCyber summer camp held at Old Dominion University (ODU), which is part of a nationwide grant program funded by the National Security Agency (NSA) and the National Science Foundation (NSF). This poster also demonstrates the design of three hands-on labs which have been …

Deep Models For Engagement Assessment With Scarce Label Information, Feng Li, Guangfan Zhang, Wei Wang, Roger Xu, Tom Schnell, Jonathan Wen, Frederic Mckenzie, Jiang Li

Electrical & Computer Engineering Faculty Publications

Task engagement is defined as loadings on energetic arousal (affect), task motivation, and concentration (cognition) [1]. It is usually challenging and expensive to label cognitive state data, and traditional computational models trained with limited label information for engagement assessment do not perform well because of overfitting. In this paper, we proposed two deep models (i.e., a deep classifier and a deep autoencoder) for engagement assessment with scarce label information. We recruited 15 pilots to conduct a 4-h flight simulation from Seattle to Chicago and recorded their electroencephalograph (EEG) signals during the simulation. Experts carefully examined the EEG signals and labeled …

Grasping The Void: Immersion Tactics Using Gesture Controlled Physics Interaction Systems In Virtual Reality, Avery Rapson

Senior Independent Study Theses

This thesis uses the HTC Vive in Unity to compare two different types of object interaction systems in order to determine the effectiveness of physics based interaction systems in a virtual environment. The research problem that motivates this project is the fact that there is no standardized method for defining successful object interaction techniques in VR. There are numerous interaction techniques in VR that fall short of simulating realistic object interaction. This project explores a physics based interaction system and examines how effective it is by comparing it to a non-physics based system. A model house with various interactable objects …

Leveraging The Srtp Protocol For Over-The-Network Memory Acquisition Of A Ge Fanuc Series 90-30, George Denton, Filip Karpisek, Frank Breitinger, Ibrahim Baggili

Electrical & Computer Engineering and Computer Science Faculty Publications

Programmable Logic Controllers (PLCs) are common components implemented across many industries such as manufacturing, water management, travel, aerospace and hospitals to name a few. Given their broad deployment in critical systems, they became and still are a common target for cyber attacks; the most prominent one being Stuxnet. Often PLCs (especially older ones) are only protected by an outer line of defense (e.g., a firewall) but once an attacker gains access to the system or the network, there might not be any other defense layers. In this scenario, a forensic investigator should not rely on the existing software as it …

Conveh: Driving Safely Into A Connected Future, Fatma Outay, Faouzi Kamoun, Ansar Yasar, Elhadi Shakshuki, Samar El-Amine

All Works

© 2017 The Authors. Published by Elsevier B.V. The loss of lives and damages to the property due to the vehicle crashes and road accidents have been an issue for long; a quarter of these accidents happen due to the adverse weather conditions. This paper presents the idea of cooperative driving technique for the drivers with the use of Connected Vehicles to minimize road accidents, traffic congestions, and to lessen, as far as possible, the effects of traffic on the environment and the loss of lives and economy. The frameworks for improving situational awareness and crash avoidance suggested hereby are …

The Creation Of An Arabic Emotion Ontology Based On E-Motive, Anoud Bani-Hani, Munir Majdalweieh, Feras Obeidat

All Works

© 2017 The Authors. Published by Elsevier B.V. There is an increased interest in social media monitoring to analyse massive, free form, short user-generated text from multiple social media sites such as Facebook, WhatsApp and Twitter. Companies are interested in sentiment analysis to understand customers' opinions about their products/services. Governments and law enforcement agencies are interested in identifying threats to safeguard their country's national security. They are actively seeking ways to monitor and analyse the public's responses to various services, activities and events, especially since social media has become a valuable real-time resource of information. This study builds on prior …

Developments Of 5g Technology, Ankit Nilesh Ganatra

All Student Theses and Dissertations

This technology is the future of current LTE technology which would be a boost to the future of wireless and computer networks, as the speeds would be way higher than the current LTE networks, which will push the technology to a new level. This technology will make the radio channels to support data access speeds up to 10 Gb/s which will turn the bandwidth radio channels as WiFi. Comparing it with other LTE technology's it has high speed and capacity, support interactive multimedia, voice, internet and its data rate is 1 Gbps which makes it faster than other LTE’s . …

Investigation On Security Issues And Features In Social Media Sites (Face Book, Twitter, & Google+), Puneet Kumar Goud Kandikanti

All Student Theses and Dissertations

Social media sites allow users to communicate and share their information which are a matter of privacy for users, so users should be aware about its limitations and disad-vantages to use social media sites. Likewise, there are many social media sites with its dif-ferent features and it typically works with the latest technology that is provided by the ex-perts to get connected and go along with the flow. The online privacy issues have been a re-al time problem and these however is the main aim for the experts to reduce the problems while sharing the kind of content that is …

Cirt News - January 2017, Center For Instruction & Research Technology (Cirt)

CIRT News

This issue contains the following articles:

Faculty Spotlight: Using 3D Printing to Create Custom Lab Tools

Director's Message: Key Issues in Teaching and Learning

Upcoming Events

Digital Thinking: Copyright Resources for Faculty

Best Practices Online: Implementing E-Journals into Your Course

Canvas News

New in CIRT: Fresh Faces & New Equipment

Using Sound To Describe Scenes With Still And Moving Obstacles, Kawin Metsiritrakul

Chulalongkorn University Theses and Dissertations (Chula ETD)

The information human get from sight and hearing sense are similar. With these correlations, there are many works that take this idea to describe the spatial information with sound. The previous works only described the nearest obstacle with the direction and distance information to sound. To let the user clearly understand the spatial information in the scene, we aim to develop the describing solution from spatial information to auditory information including direction, distance, boundary and speed info with the multiple obstacle descriptions. The participants took the experiment by controlling the character and avoiding the obstacles in the different scenarios to …

Developing An Area Classification System From Mobile Phone Usage Data, Naruethai Thongphasook

Chulalongkorn University Theses and Dissertations (Chula ETD)

Since human activities are vary by time and place, there have been many attempts to extract social behavior in spatial studies which included area use in the city. This information helps gaining advantages in city and facilities planning. Nowadays, many people carry mobile phone with them for communication purpose. This motivates us to analyze mobile phone usage in different area types. This thesis proposes method of an analysis for area use classification from mobile phone usage pattern. CDR data was used to define mobile phone usage pattern by hour from 1:00 to 24:00 and day of week from Monday to …

Automatic 3d Hair Model From Small Set Of Images, Nuttapon Vanakittistien

Chulalongkorn University Theses and Dissertations (Chula ETD)

We present a system for creating hair model that matches a user's hairstyle from images. The model consists of guide hair strands and can be used in a real-time hair simulator. Our goal differs from most previous work which aims to create realistic high resolution hair for off-line applications or create mesh of the exterior of the hair volume for image manipulation. Our primary aim is for user to be able to put his/her hairstyle into game or other real-time applications. By taking photos in 8 views of the user's head using a smart phone camera and segmenting images with …

Random Field Optimization Using Local Label Hierarchy, Sangsan Leelhapantu

Chulalongkorn University Theses and Dissertations (Chula ETD)

Random field formulation has proven to be a powerful framework for solving various computer vision tasks, specifically those involving assigning labels to image pixels or superpixels subjected to spatial relationships and visual contexts, due to the ability to intuitively incorporate global and local information. Unfortunately, solving these problems can be impractical when large number of variables and possible labels are present as the computational complexity grows fast with the problem size. In this thesis, we propose a speedup scheme for random field optimization using local label hierarchy. We focus on problems in which the label space has a natural ordering …

Efficient And Robust Grasp Planning Based On Independent Contact Region And Caging, Teesit Makapunyo

Chulalongkorn University Theses and Dissertations (Chula ETD)

A conventional way to find a proper grasp to grab and hold any object is to measure its stability which usually is based on physical constraint called force-closure. This execution works well from the theoretical point of view but often fails on an actual robot due to many reasons such as intrinsic errors in robot's system and a disparity between real and simulated physics. Several research works introduced methods to alleviate those issues and increase the success rate of grasping for a real robot. Caging and Independent Contact Region are ones of them. In this work, we investigate a method …

Mesh-Based Multi-View Normal Integration With Energy Minimization Using Surface Reflectance Properties, Wichayut Eaksarayut

Chulalongkorn University Theses and Dissertations (Chula ETD)

We propose a technique to reconstruct a general 3D object using surface reflectance information from multiple viewpoints. Our core optimization framework uses multi-view normal integration, which can recovers water-tight surface of the object iteratively in a coarse to fine manner. The integration requires normal vector field from multiple viewpoints, which we can derive from surface reflectance. We then handle the topological changes if self-intersection occurs from the optimization. We also employ the idea of multi-resolution and weighted data heuristic which helps dealing with noisy data and improves both accuracy and optimization time. Our experiment shows that the framework is able …

Prediction Model Of Water Quality In Chaophraya River Using Artificial Neural Network, Weeris Treeratanajaru

Chulalongkorn University Theses and Dissertations (Chula ETD)

No abstract provided.