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Articles 1441 - 1470 of 2105
Full-Text Articles in Computer Sciences
Gauging Training Effectiveness Of Virtual Environment Simulation Based Applications For An Infantry Soldier Training Task, Douglas Maxwell
Gauging Training Effectiveness Of Virtual Environment Simulation Based Applications For An Infantry Soldier Training Task, Douglas Maxwell
Electronic Theses and Dissertations
The U.S. Army Training and Doctrine Command*s Army Learning Concept 2015 and Army Training Concept 2025 are documents that discuss the need for an adaptive soldier learning model with a flexible training delivery methodology. The U.S. Army has been investing in serious gaming technology for the past two decades as a cost effective means to teach tactics and strategy. Today, the U.S. Army is seeking to expand its application of virtual environment training to areas such as cultural awareness and human network analysis for the infantry soldier. These new expanded applications will require a higher level of non-determinant behavior inside …
Dependent Random Graphs And Multi-Party Pointer Jumping, Joshua Brody, Mario Sanchez , '16
Dependent Random Graphs And Multi-Party Pointer Jumping, Joshua Brody, Mario Sanchez , '16
Computer Science Faculty Works
We initiate a study of a relaxed version of the standard Erdos-Renyi random graph model, where each edge may depend on a few other edges. We call such graphs "dependent random graphs". Our main result in this direction is a thorough understanding of the clique number of dependent random graphs. We also obtain bounds for the chromatic number. Surprisingly, many of the standard properties of random graphs also hold in this relaxed setting. We show that with high probability, a dependent random graph will contain a clique of size ((1-o(1))log(n))/log(1/p), and the chromatic number will be at most (nlog(1/(1-p)))/log(n). We …
Adapt Or Die: Polynomial Lower Bounds For Non-Adaptive Dynamic Data Structures, Joshua Brody, K. G. Larsen
Adapt Or Die: Polynomial Lower Bounds For Non-Adaptive Dynamic Data Structures, Joshua Brody, K. G. Larsen
Computer Science Faculty Works
In this paper, we study the role non-adaptivity plays in maintaining dynamic data structures. Roughly speaking, a data structure is non-adaptive if the memory locations it reads and/or writes when processing a query or update depend only on the query or update and not on the contents of previously read cells. We study such non-adaptive data structures in the cell probe model. The cell probe model is one of the least restrictive lower bound models and in particular, cell probe lower bounds apply to data structures developed in the popular word-RAM model. Unfortunately, this generality comes at a high cost: …
An Application Of The Autism Management Platform To Tracking Student Progress In The Special Education Environment, Ryan Thomas Burns
An Application Of The Autism Management Platform To Tracking Student Progress In The Special Education Environment, Ryan Thomas Burns
Computational and Data Sciences Theses
In the age of online courses and digital textbooks, several areas of academia, such as special education, are far behind in the technological revolution. Some teachers use long unstructured digital documents, while others maintain large physical files for students containing every piece of information or coursework they have ever received. Could these extremely unstructured approaches to data collection and aggregation be streamlined with a software platform built specifically for this purpose? Could this platform also be built to accommodate multiple integrations and practical new features? Most importantly, in terms of usability, would this software be enjoyable to use? The Autism …
Table Of Contents
Journal of Digital Forensics, Security and Law
No abstract provided.
From The Editor-In-Chief, Ibrahim Baggili
From The Editor-In-Chief, Ibrahim Baggili
Journal of Digital Forensics, Security and Law
Welcome to JDFSL’s second issue for 2015! First, I would like to thank our editorial board, reviewers, and the JDFSL team for bringing this issue to life. In this issue, we continue our multidisciplinary tradition. The first paper, Two challenges of stealthy hypervisors detection: time cheating and data fluctuations, showcases an important contribution to the computing discipline. The use of virtualization has dramatically increased given our strong reliance on cloud services both private and public. Even though hypervisors enhance security, they can also be exploited by malware. Therefore, this paper is of importance given that it introduces a novel method …
From The Editor-In-Chief, Ibrahim Baggili
From The Editor-In-Chief, Ibrahim Baggili
Journal of Digital Forensics, Security and Law
Welcome to JDFSL’s first issue for 2015! First, I would like to thank our editorial board, reviewers, and the JDFSL team for bringing this issue to life. It has been a big year for JDFSL as the journal continues to progress. We are continuing our indexing efforts for the journal and we are getting closer with some of the major databases.
Risk Management In Data Protection, Fred H. Cate, Christopher Kuner, Christopher Millard, Dan Jerker B. Svantesson, Orla Lynskey
Risk Management In Data Protection, Fred H. Cate, Christopher Kuner, Christopher Millard, Dan Jerker B. Svantesson, Orla Lynskey
Articles by Maurer Faculty
No abstract provided.
The Impact Of Different Cues On The Memorability Of System-Assigned Recognition-Based Textual Passwords, Kanis Fatema
The Impact Of Different Cues On The Memorability Of System-Assigned Recognition-Based Textual Passwords, Kanis Fatema
Computer Science and Engineering Theses - Archive
To ensure memorability, users employ predictable patterns when creating new passwords. These patterns make passwords easy to guess, which not only increases risks to users but also for the entire system. In contrast, system-assigned textual passwords offer security but suffer from poor memorability. Previous research investigated the idea of textual recognition, in which the user would be assigned a word from a list and asked to recall the word later. The recall rate for this scheme was shown to be no better than memorizing a sequence of randomly assigned letters, but the researchers suggested that memorability may be improved if …
Enabling Exploratory Mining Over Hidden Databases, Saravanan Thirumuruganathan
Enabling Exploratory Mining Over Hidden Databases, Saravanan Thirumuruganathan
Computer Science and Engineering Dissertations - Archive
Almost all popular websites (such as Amazon, EBay, microblogs such as Twitter, Instagram, collaborative content sites such as IMDB, Yelp etc) are powered internally by large data repositories. We designate them as hidden databases as their underlying data is accessible only through proprietary form-like interfaces that require users to query the system by entering desired values for a few attributes. Further, these web databases also impose a number of restrictions. For example, the top-k output constraint ensures that when there are a large number of tuples matching the query, only a few of them (top-k) are preferentially selected and returned …
Methods For Large-Scale Machine Learning And Computer Vision, Yeqing Li
Methods For Large-Scale Machine Learning And Computer Vision, Yeqing Li
Computer Science and Engineering Dissertations - Archive
With the advance of the Internet and information technology, nowadays people can easily collect and store tremendous amounts of data such as images and videos. Developing machine learning and computer vision to analysis and learn from the gigantic data sets is an interesting yet challenging problem. Inspired by the trend, this thesis focus on developing large-scale machine learning and computer vision techniques for the purpose of handling various kinds of problems on gigantic data sets. With respect to the problem of image classification, we employ the technique of sub-selection, which uses partial observations to efficiently approximate the original high dimensional …
Biomedical Parameter Measurements Using Video Processing, Negar Ziaee Nasrabadi
Biomedical Parameter Measurements Using Video Processing, Negar Ziaee Nasrabadi
Computer Science and Engineering Theses - Archive
For quite some time, patients’ cardiovascular parameters have been measured by sensors connected to their body. One way of measuring these parameters is pulse oximetry by using an optical technique. It uses a photodetector to detect light absorption changes of red and infrared light. These two types of light serve as two sources of illumination. These current types of methods for monitoring parameters are often viewed as uncomfortable by the patient, and therefore are not desirable for frequent and long periods of monitoring. Furthermore, these methods can potentially produce a psychologically influenced bias from the patient because the patient is …
Advanced Sparsity Techniques In Medical Imaging And Image Processing, Chen Chen
Advanced Sparsity Techniques In Medical Imaging And Image Processing, Chen Chen
Computer Science and Engineering Theses - Archive
In the past decades, sparsity techniques has been widely applied in the fields of medical imaging, computer vision, image processing, compressive sensing, machine learning etc., and gained great success. In this work, we propose new models of sparsity techniques, which is an extension to the standard sparsity used in the existing works and in the vein of structure sparsity families. First, we introduce the wavelet tree sparsity in natural images. It shows that the tree sparsity regularization often outperforms the existing standard sparsity based techniques in magnetic resonance imaging. Second, we extend the tree sparsity to forest sparsity on multi-channel …
Gait Analysis On A Smart Floor For Health Monitoring, Oluwatosin Oluwadare
Gait Analysis On A Smart Floor For Health Monitoring, Oluwatosin Oluwadare
Computer Science and Engineering Theses - Archive
Gait analysis is the investigation of an individual pattern of walking. Based on studies in Psychophysics, it has been shown that the human gait contains unique information that is useful for the evaluation of foot and gait pathologies. The goal of this project is to use a floor mounted pressure sensor system capable of measuring a significant number of parameters relevant to gait to predict and detect anomalous behavior. The system consists of an array of pressure sensors mounted under floor tiles and computer hardware responsible for data collection. The method used in this project is unique since most systems …
Design And Implementation Of An Open Beaconing Architecture For Internet Of Things, Arjun Kumar Bhaskar Shetty
Design And Implementation Of An Open Beaconing Architecture For Internet Of Things, Arjun Kumar Bhaskar Shetty
Computer Science and Engineering Theses - Archive
The power of the Internet is penetrating into the physical world with ever increasing speed and expanding reach under the general concept of Internet of Things. Extensive sets of efforts have been devoted toward establishing an interconnected network of smart devices in a self-organized manner. Nowadays, using low power beacons to announce the presences of physical objects has gained tremendous momentum exemplified by iBeacon from Apple. Unfortunately, schemes like iBeacon use abstract codes to denote a physical entity, limiting it to be only understandable by those with knowledge of it beforehand. In this thesis, we develop an open architecture where …
Faster Sampling Over Theoritical And Online Social Networks, Ramakrishna Aduri
Faster Sampling Over Theoritical And Online Social Networks, Ramakrishna Aduri
Computer Science and Engineering Theses - Archive
Online social networks have become very popular recently and are used bymillions of users. Researchers increasingly want to leverage the rich variety ofinformation available. However, social networks often feature a web interface that onlyallows local-neighborhood queries - i.e., given a user of the online social network asinput, the system returns the immediate neighbors of the user. Additionally, they alsohave rate limits that restrict the number of queries issued over a given time period. Theserestrictions make third party analytics extremely challenging. The traditional approach ofusing random walks is not effective as they require significant burn-in period before theirstationary distribution converges to …
Microblog Analyzer Aggregate Estimation Over A Micro Blog Platform, Satishkumar Masilamani
Microblog Analyzer Aggregate Estimation Over A Micro Blog Platform, Satishkumar Masilamani
Computer Science and Engineering Theses - Archive
Microblogging is a new mode of communication in which users can share their current status in brief and agile way in the form of text, image, video etc over smart phones, email or web. Recently, Microblogs such as Twitter, Tumblr, Google+ have experience phenomenal growth and are regularly used by millions of users. The data from microblogs is very useful for researchers to analyze various facets such as user behaviors, user intentions (like daily chatter, conversations, sharing information and reporting news), microblog social network structure etc. For example, a sociologist might want to use the microblog postings to analyze the …
A Real-Time Embedded Data Acquisition System For Surface Measurements Using Multiple Line Lasers, A P Vikram Simha
A Real-Time Embedded Data Acquisition System For Surface Measurements Using Multiple Line Lasers, A P Vikram Simha
Computer Science and Engineering Theses - Archive
In the last few years there has been a significant increase in the number of hand held devices. These devices boast of delivering features such as high performance, low power consumption, high memory availability, serial and parallel interfacing capability, connectivity through the Ethernet, wireless, etc., at a very low cost. These embedded devices powered by open source software like Linux and Arduino have paved the way for the development of high efficiency, low cost portable products in a very short period of time.The objective of this thesis is to enhance the portability, efficiency, and other features of the existing Roline …
Mechanical Reliability Of Porous Low-K Dielectrics For Advanced Interconnect: Study Of The Instability Mechanisms In Porous Low-K Dielectrics And Their Mediation Through Inert Plasma Induced Re-Polymerization Of The Backbone Structure, Yoonki Sa
Computer Science and Engineering Dissertations - Archive
Continuous scaling down of critical dimensions in interconnect structures requires the use of ultralow dielectric constant (k) films as interlayer dielectrics to reduce resistance-capacitance delays. Porous carbon-doped silicon oxide (p-SiCOH) dielectrics have been the leading approach to produce these ultralow-k materials. However, embedding of porosity into dielectric layer necessarily decreases the mechanical reliability and increases its susceptibility to adsorption of potentially deleterious chemical species during device fabrication process. Among those, exposure of porous-SiCOH low-k (PLK) dielectrics to oxidizing plasma environment causes the increase in dielectric constant and their vulnerability to mechanical instability of PLKs due to the loss of methyl …
Methods For Human Motion Analysis For American Sign Language Recognition And Assistive Environments, Zhong Zhang
Methods For Human Motion Analysis For American Sign Language Recognition And Assistive Environments, Zhong Zhang
Computer Science and Engineering Dissertations - Archive
The broad application domain of the work presented in this thesis is human motion analysis with a focus on hand detection for American Sign Language recognition and fall detection for assistive environments.One of the motivations of the proposed thesis is a semi-automatic vision based American Sign Language recognition system. This system allows a user to submit as query a video of the sign of interest, or simply perform the sign in front of a camera. The system then asks the user to annotate the hands' locations in the sign. Next, the hand trajectory of the query sign is compared with …
Elastic Personalized Nonfunctional Attribute Preference And Trade-Off Based Service Selection, Kenneth K. Fletcher, Xiaoqing F. Liu, Mingdong Tang
Elastic Personalized Nonfunctional Attribute Preference And Trade-Off Based Service Selection, Kenneth K. Fletcher, Xiaoqing F. Liu, Mingdong Tang
Computer Science Faculty Research & Creative Works
For service users to get the best service that meet their requirements, they prefer to personalize their nonfunctional attributes, such as reliability and price. However, the personalization makes it challenging for service providers to completely meet users' preferences, because they have to deal with conflicting nonfunctional attributes when selecting services for users. With this in mind, users may sometimes want to explicitly specify their trade-offs among nonfunctional attributes to make their preferences known to service providers. In this article, we present a novel service selection method based on fuzzy logic that considers users' personalized preferences and their trade-offs on nonfunctional …
Research Agenda Into Human-Intelligence/Machine-Intelligence Governance, Teddy Steven Cotter
Research Agenda Into Human-Intelligence/Machine-Intelligence Governance, Teddy Steven Cotter
Engineering Management & Systems Engineering Faculty Publications
Since the birth of modern artificial intelligence (AI) at the 1956 Dartmouth Conference, the AI community has pursued modeling and coding of human intelligence into AI reasoning processes (HI Þ MI). The Dartmouth Conference's fundamental assertion was that every aspect of human learning and intelligence could be so precisely described that it could be simulated in AI. With the exception of knowledge specific areas (such as IBM's Big Blue and a few others), sixty years later the AI community is not close to coding global human intelligence into AI. In parallel, the knowledge management (KM) community has pursued understanding of …
A Personalized Profile Based Learning System For Power Management In Android, Ashwin Arikere
A Personalized Profile Based Learning System For Power Management In Android, Ashwin Arikere
Computer Science and Engineering Dissertations - Archive
Mobile computing devices are becoming more ubiquitous everyday due to the phenomenal growth in technology powering them. With the amount of computing power available in these devices, users are capable of achieving a multitude of tasks that were only possible with a PC just a few years ago. However, these devices still face issues regarding power management. Battery technology has not kept pace with the development in other areas. With a limited supply of energy, the mobile device of today requires a fine balance of power management to provide adequate energy to support the heavy duty computing of the user …
Privacy-Preserving Power Usage Control In Smart Grids, Huchun
Privacy-Preserving Power Usage Control In Smart Grids, Huchun
Doctoral Dissertations
"The smart grid (SG) has been emerging as the next-generation intelligent power grid system because of its ability to efficiently monitor, predicate, and control energy generation, transmission, and consumption by analyzing users' real-time electricity information. Consider a situation in which the utility company would like to smartly protect against a power outage. To do so, the company can determine a threshold for a neighborhood. Whenever the total power usage from the neighborhood exceeds the threshold, some or all of the households need to reduce their energy consumption to avoid the possibility of a power outage. This problem is referred to …
Efficacy Of Property Marking As A Situational Crime Prevention Strategy, David J. Brooks, Michael Coole, Chauncey Johnson, Jeff Corkill, Malcolm Jenkinson
Efficacy Of Property Marking As A Situational Crime Prevention Strategy, David J. Brooks, Michael Coole, Chauncey Johnson, Jeff Corkill, Malcolm Jenkinson
Australian Security and Intelligence Conference
Burglary and stealing are crimes that have a significant impact and cost on its victims and society. To mitigate such crimes, property marking is a situational crime prevention strategy that attempts to prevent through dissuasion. There are many forms of property marking, yet there is limited research of its efficacy. Where there have been such studies, there has been some indications of success. Therefore, the study assessed the efficacy of property marking to reduce burglary and stealing crimes. The study undertook a quantitate approach using non-equivalent control groups to assess the geo-spatial impact of property marking when applied at a …
Extracting City Traffic Events From Social Streams, Pramod Anantharam, Payam Barnaghi, Krishnaprasad Thirunarayan, Amit P. Sheth
Extracting City Traffic Events From Social Streams, Pramod Anantharam, Payam Barnaghi, Krishnaprasad Thirunarayan, Amit P. Sheth
Kno.e.sis Publications
Cities are composed of complex systems with physical, cyber, and social components. Current works on extracting and understanding city events mainly rely on technology enabled infrastructure to observe and record events. In this work, we propose an approach to leverage citizen observations of various city systems and services such as traffic, public transport, water supply, weather, sewage, and public safety as a source of city events. We investigate the feasibility of using such textual streams for extracting city events from annotated text. We formalize the problem of annotating social streams such as microblogs as a sequence labeling problem. We present …
Understanding Social Effects In Online Networks, Huda Alhazmi, Swapna S. Gokhale, Derek Doran
Understanding Social Effects In Online Networks, Huda Alhazmi, Swapna S. Gokhale, Derek Doran
Kno.e.sis Publications
Understanding the motives behind people’s interactions online can offer sound bases to predict how a social network may evolve and also support a host of applications. We hypothesize that three offline social factors, namely, stature, relationship strength, and egocentricity may also play an important role in driving users’ interactions online. Therefore, we study the influence of these three social factors in online interactions by analyzing the transitivity in triads or three-way relationships among users. Analyzing transitivity through the lens of triad census for four popular social networks, namely, Facebook, Twitter, YouTube and Slashdot, we find that: (i) users’ interactions are …
Semantic Gateway As A Service Architecture For Iot Interoperability, Pratikkumar Desai, Amit P. Sheth, Pramod Anantharam
Semantic Gateway As A Service Architecture For Iot Interoperability, Pratikkumar Desai, Amit P. Sheth, Pramod Anantharam
Kno.e.sis Publications
The Internet of Things (IoT) is set to occupy a substantial component of future Internet. The IoT connects sensors and devices that record physical observations to applications and services of the Internet. As a successor to technologies such as RFID and Wireless Sensor Networks (WSN), the IoT has stumbled into vertical silos of proprietary systems, providing little or no interoperability with similar systems. As the IoT represents future state of the Internet, an intelligent and scalable architecture is required to provide connectivity between these silos, enabling discovery of physical sensors and interpretation of messages between things. This paper proposes a …
Security Frameworks For Machine-To-Machine Devices And Networks, Michael Demblewski
Security Frameworks For Machine-To-Machine Devices And Networks, Michael Demblewski
CCAC Theses and Dissertations
Attacks against mobile systems have escalated over the past decade. There have been increases of fraud, platform attacks, and malware. The Internet of Things (IoT) offers a new attack vector for Cybercriminals. M2M contributes to the growing number of devices that use wireless systems for Internet connection. As new applications and platforms are created, old vulnerabilities are transferred to next-generation systems. There is a research gap that exists between the current approaches for security framework development and the understanding of how these new technologies are different and how they are similar. This gap exists because system designers, security architects, and …
Police Opinions Of Digital Evidence Response Handling In The State Of Georgia: An Examination From The Viewpoint Of Local Agencies’ Patrol Officers, Tanya Macneil
CCAC Theses and Dissertations
This research examined opinions of local law enforcement agencies’ patrol officers in the State of Georgia regarding preparedness and expectations for handling of digital evidence. The increased criminal use of technology requires that patrol officers be prepared to handle digital evidence in many different situations. The researcher’s goal was to gain insight into how patrol officers view their preparedness to handle digital evidence as well as their opinions on management expectations regarding patrol officers’ abilities to handle digital evidence. The research focused on identifying whether a gap existed between patrol officers’ opinions of digital evidence and the patrol officers’ views …