Digital Commons Network^™

Distributed Predictive Health Monitoring, Jorge David Herrera Gonzalez

Computer Science and Engineering Theses - Archive

According to the National Center for Health Statistics the major causes of death in the US are (per year) heart diseases with 654 thousand cases, followed by cancer with 550 thousand cases and stroke with 150 thousand cases. In this project we propose, design, implement and test a prototype of a system that promises to improve the level of detection and prediction of several diseases and improves the quality of life of patients by utilizing non-invasive wireless medical sensors. This system is composed of a set of wireless medical sensors, a nearby (close-proximity) PDA (personal digital accessory) or cell phone …

Cxlengine - A Comprehensive Xml Loosely Structured Search Engine, Indhu Krishna Sivaramakrishnan

Computer Science and Engineering Theses - Archive

XML keyword search has been a widely researched area. [15] has proposed an XML semantic search engine called OOXSearch, which answers loosely structured queries. The framework of OOXSearch takes into account the semantic relationship between nodes based on their contexts. The context of a node is determined by its parent node. The label "name", for example, could mean the name of a book and could also mean the name of the book's author. If we try to consider the relationship between these two nodes without considering their parent nodes, we would be drawing the incorrect conclusion that these two nodes …

Limitations Of Ieee 802.15.4 Based Wireless Mesh Networks For Wireless Localization, William Anthony Wallace

Computer Science and Engineering Theses - Archive

It is highly desirable to create rapidly and inexpensively deployable mesh networks in certain scenarios. Consider the case of a large storage warehouse; workers are constantly moving in the area and not only do they need to send data periodically but their location needs to be tracked as well. Setting up such network can be accomplished with the IEEE 802.15.4 standard, but a mesh network must be created. There would need to be stationary 802.15.4 nodes that join together to form a backbone infrastructure. This backbone infrastructure (mesh network) would allow the workers, using mobile 802.15.4 nodes, to transmit their …

Subrosa: An Experimental Platform For Studying Timing Analysis Of Real Time Anonymity Systems, Hatim Asger Daginawala

Computer Science and Engineering Theses - Archive

Timing analysis poses a significant challenge for the mix based anonymous systems that wish to support low-latency applications like web browsing, instant messaging and Voice over IP (VOIP). Research in this area so far has been done through simulations on ad hoc simulators or non practical local area networks. We developed SubRosa, an experimental platform for studying timing analysis of real time anonymity systems to facilitate the study of Tor like low-latency anonymous systems. We present results of experiments on a real distributed network test bed PlanetLab, where we studied timing analysis attacks and some of the defenses to protect …

Panda Monitoring - A System To Monitor High Performance Computing For The Atlas Experiment-Design, Development,Implementation And Deployment, Prem A. Thilagar

Computer Science and Engineering Theses - Archive

Grid resources are gaining wide importance in the wake of experiments such as ATLAS aiding in a bigger goal to understand the complexities of nature. The need for a good monitoring system is realized as grid resources are being implemented widely. This work is an analysis of the existing monitoring system of the Panda which is a grid middleware for the ATLAS experiment running in CERN. The thesis aims at identifying the key bottlenecks of the current monitor and speaks about the implementation of a new monitor for the same .The new monitor which is being designed with scalability and …

A Discrete Event Based Stochastic Simulation Approach For Studying The Dynamics Of Biological Networks, Samik Ghosh

Computer Science and Engineering Dissertations - Archive

With increasing availability of data resources on the molecular parts of a living cell, biologists are focusing on holistic understanding of cellular mechanisms and the emergent dynamics arising out of their complex interactions. Comprehending the fine-grained signal specificity, gene regulation and feedback mechanisms of molecular interactions at a network level forms a central theme of systems biology. With the speed and sophistication of computational methods, in silico modeling and simulation techniques have become a powerful tool for biologists challenged with understanding the system complexity of biological networks. Numerical simulation of classical chemical kinetics (CCK), agent-based simulations of biological processes, and …

Self-Organizing Neural Architectures And Cooperative Learning In A Multiagent Environment, Dan Xiao, Ah-Hwee Tan

Research Collection School Of Computing and Information Systems

Temporal-Difference–Fusion Architecture for Learning, Cognition, and Navigation (TD-FALCON) is a generalization of adaptive resonance theory (a class of self-organizing neural networks) that incorporates TD methods for real-time reinforcement learning. In this paper, we investigate how a team of TD-FALCON networks may cooperate to learn and function in a dynamic multiagent environment based on minefield navigation and a predator/prey pursuit tasks. Experiments on the navigation task demonstrate that TD-FALCON agent teams are able to adapt and function well in a multiagent environment without an explicit mechanism of collaboration. In comparison, traditional Q-learning agents using gradient-descent-based feedforward neural networks, trained with the …

Understanding Highly Competent Information System Users, Brenda Eschenbrenner, Fiona Fui-Hoon Nah

Research Collection School Of Computing and Information Systems

Individuals differ in their abilities to use information systems (IS) effectively, with some achieving exceptional performance in IS use. Using the Repertory Grid Technique, this research identifies attributes of highly competent IS users that distinguish them from less competent users. Using the Grounded Theory approach, we identified categories and sub-categories of these attributes and used them to develop a conceptual framework to explain IS User Competency. The findings indicate that highly competent users differ from less competent users in their Personality Traits and Disposition Factors, General Cognitive Abilities, Social Skills and Tendencies, Experiential Learning Factors, Domain Knowledge of and Skills …

Competition In Modular Clusters, Carliss Y. Baldwin, C. Jason Woodard

Research Collection School Of Computing and Information Systems

The last twenty years have witnessed the rise of disaggregated “clusters,” “networks,” or “ecosystems” of firms. In these clusters the activities of R&D, product design, production, distribution, and system integration may be split up among hundreds or even thousands of firms. Different firms will design and produce the different components of a complex artifact (like the processor, peripherals, and software of a computer system), and different firms will specialize in different stages of a complex production process. This paper considers the pricing behavior and profitability of these so-called modular clusters. In particular, we investigate a possibility hinted at in prior …

An Empirical Analysis Of Mobile Voice Service And Sms: A Structural Model, Youngsoo Kim, William B. Vogt, Ramayya Krishnan, Rahul Telang

Research Collection School Of Computing and Information Systems

In addition to the wireless telephony boom, a similar exponential increasing trend in wireless data service - short message service (SMS) - is visible as technology advances. We develop a structural model to understand how mobile users behave, especially how they consume voice, and services. Specifically, we measure the own- and the cross-price elasticities of these services. The cross-price elasticity is of significant importance because marketing activities are critically influenced by whether the goods are substitutes or complements. The research context poses significant econometric challenges due to three-part tariff, sequential discrete plan choice and continuous quantity choices. Using detailed individual …

A Unified Interdisciplinary Theory Of Open Source Culture And Entertainment, Jerald Hughes, Karl Reiner Lang, Eric K. Clemons, Robert J. Kauffman

Research Collection School Of Computing and Information Systems

Digital technologies are profoundly transforming the production and consumption of culture and entertainment products. The emerging digital re-mix culture is an open source approach where content products in the arts and entertainment industries are increasingly rearranged, manipulated, and extended in the process of creating new works. This article offers a unified description of the tools and techniques that led to the development of the open source culture and that enable the processes which promote re-use of previously recorded materials. It then lays out the incentives and forces that either promote or inhibit the development, distribution, and consumption of modified cultural …

Route Validation Using Radio Frequency Identification, William T. Watson

Theses and Dissertations

In recent years, radio frequency identification (RFID) has been proposed and implemented in a variety of applications where tracking objects, animals or people is desirable. This paper proposes a novel approach to the application of RFID technology in those applications where it is possible to validate a person or an object's passive contact with a given or arbitrary set of fixed points along a predefined route. The notable departure from the typical application of RFID technology is that in this scheme, the transponders are permanently installed while the interrogator is affixed to a person or object that travels the course. …

Rss Management: An Rss Reader To Manage Rss Feeds That Efficiently And Effectively Pulls And Filters Feeds With Minimal Bandwidth Consumption, Brian Cooper

Theses and Dissertations

In the early 2000s, RSS (Really Simple Syndication) was launched into cyber space and rapidly gained fame by existing as the underlying technology that fueled millions of web logs (blogs). Soon RSS feeds appeared for news, multimedia podcasting, and many other types of information on the Internet. RSS introduced a new way to syndicate information that allowed anyone interested to subscribe to published content and pull the information to an aggregator, (RSS reader application), at their discretion. RSS made it simple for people to keep up with online content without having to continuously check websites for new content. This new …

Time-Adaptive Numerical Simulation For High Speed Networks, Suman Kumar, Seung Jong Park, S. Sitharama Iyengar, Jung Han Kimn

Computer Science Faculty Research & Creative Works

As the bandwidth of networks is increasing exponentially, the computational cost to simulate such type of networks is also growing in a similar fashion. This paper presents a scalable simulation method, called time-adaptive numerical simulation, which can be used to represent dynamics of high-speed networks using fluid-based models. The new method dynamically adjusts the size of a time step for a numerical solver which solves a system of differential equations representing dynamics of protocols and nodes' behaviors. The simulation results show that the time-adaptive-method reduces the computational time while achieving the same accuracy compared to that of a fixed step-size …

Research Issues And Overview Of Economic Models In Mobile-P2p Networks, Anirban Mondal, Sanjay Kumar Madria, Masaru Kitsuregawa

Computer Science Faculty Research & Creative Works

The mobile-P2P paradigm is becoming increasingly popular. Existing mobile-P2P solutions largely do not consider economic incentive models for enticing peer participation without eliminating free-riders and for effectively handling mobile resource constraints such as energy. This paper presents an executive summary of the existing solutions and an overview of some of the important issues for handling problems in mobile-P2P networks using economic models. We also present our perspectives on building 'real' mobile-P2P applications using economic models. © 2007 IEEE.

Enlightened Computing: An Architecture For Co-Allocating Network, Compute, And Other Grid Resources For High-End Applications, Lina Battestilli, Andrei Hutanut, Gigi Karmous-Edwards, Daniel S. Katz, Jon Maclarent, Joe Mambretti, John H. Moore, Seung Jong Park, Harry G. Perros, Syam Sundar, Savera Tanwir, Steven R. Thorpe, Yufeng Xin

Computer Science Faculty Research & Creative Works

Many emerging high-performance applications require distributed infrastructure that is significantly more powerful and flexible than traditional Grids. Such applications require the optimization, close integration, and control of all Grid resources, including networks. The EnLIGHTened (ENL) Computing Project has designed an architectural framework that allows Grid applications to dynamically request (in-advance or on-demand) any type of Grid resource: computers, storage, instruments, and deterministic, high-bandwidth network paths, including lightpaths. Based on application requirements, the ENL middleware communicates with Grid resource managers and, when availability is verified, co-allocates all the necessary resources. ENL's Domain Network Manager controls all network resource allocations to dynamically …

I’M A Virus Harming The Earth, M. Thulasidas

Research Collection School Of Computing and Information Systems

We humans plunder the raw material from our host planet with such an abandon that is only seen in viruses.

Transmission Scheduling In Sensor Networks Via Directed Edge Coloring, Maggie Xiaioyan Cheng, Li Yin

Computer Science Faculty Research & Creative Works

This paper presents a transmission scheduling scheme in sensor networks. Each node is assigned a list of time slots to use for unicasting and broadcast communication. the algorithm employs edge coloring on a directed graph for transmission scheduling. It is different from previous works that use vertex coloring of a graph for node scheduling, or those that use edge coloring of undirected graphs for link scheduling. the proposed algorithm uses the least number of time slots compared to its counterparts and it avoids both the hidden terminal problem and the exposed terminal problem in both unicast and broadcast communication. ©2007 …

Preventing Location-Based Identity Inference In Anonymous Spatial Queries, Panos Kalnis, Gabriel Ghinita, Kyriakos Mouratidis, Dimitris Papadias

Research Collection School Of Computing and Information Systems

The increasing trend of embedding positioning capabilities (for example, GPS) in mobile devices facilitates the widespread use of location-based services. For such applications to succeed, privacy and confidentiality are essential. Existing privacy-enhancing techniques rely on encryption to safeguard communication channels, and on pseudonyms to protect user identities. Nevertheless, the query contents may disclose the physical location of the user. In this paper, we present a framework for preventing location-based identity inference of users who issue spatial queries to location-based services. We propose transformations based on the well-established K-anonymity concept to compute exact answers for range and nearest neighbor search, without …

Tuning Tabu Search Strategies Via Visual Diagnosis, Steven Halim, Hoong Chuin Lau

Research Collection School Of Computing and Information Systems

While designing working metaheuristics can be straightforward, tuning them to solve the underlying combinatorial optimization problem well can be tricky. Several tuning methods have been proposed but they do not address the new aspect of our proposed classification of the metaheuristic tuning problem: tuning search strategies. We propose a tuning methodology based on Visual Diagnosis and a generic tool called Visualizer for Metaheuristics Development Framework(V-MDF) to address specifically the problem of tuning search (particularly Tabu Search) strategies. Under V-MDF, we propose the use of a Distance Radar visualizer where the human and computer can collaborate to diagnose the occurrence of …

Sybil Attack Detection In A Hierarchical Sensor Network, Jian Yin, Sanjay Kumar Madria

Computer Science Faculty Research & Creative Works

The Sybil attack is a particularly harmful threat to sensor networks where a single sensor node illegitimately claims multiple identities. a malicious node may generate an arbitrary number of additional node identities using only one physical device. the Sybil attack can disrupt normal functioning of the sensor network, such as the multipath routing, used to explore the multiple disjoint paths between source-destination pairs. But the Sybil attack can disrupt it when a single adversary presents multiple identities, which appear on the multiple paths. Digital certificates are a way to prove identities, but they are not suitable for the sensor network …

Study Of The Minimum Spanning Hyper-Tree Routing Algorithm In Wireless Sensor Networks, Ting Yang, Yugeng Sun, Zhaoxia Wang, Juwei Zhang, Yingqiang Ding

Research Collection School Of Computing and Information Systems

Designing energy-efficient routing protocols to effectively increase the networks' lifetime and provide the robust network service is one of the important problems in the research of wireless sensor networks. Using the hyper-graph theory, the paper represents large-scale wireless sensor networks into a hyper-graph model, which can effectively decrease the control messages in routing process. Based on this mathematic model, the paper presents the minimum spanning hyper-tree routing algorithm in synchronous wireless sensor networks (MSHT-SN), which builds a minimum energy consumption tree for data collection from multi-nodes to Sink node. The validity of the algorithm is proved by the theatrical analysis. …

Multi-Order Neurons For Evolutionary Higher Order Clustering And Growth, Kiruthika Ramanathan, Sheng Uei Guan

Research Collection School Of Computing and Information Systems

This letter proposes to use multiorder neurons for clustering irregularly shaped data arrangements. Multiorder neurons are an evolutionary extension of the use of higher-order neurons in clustering. Higher-order neurons parametrically model complex neuron shapes by replacing the classic synaptic weight by higher-order tensors. The multiorder neuron goes one step further and eliminates two problems associated with higher-order neurons. First, it uses evolutionary algorithms to select the best neuron order for a given problem. Second, it obtains more information about the underlying data distribution by identifying the correct order for a given cluster of patterns. Empirically we observed that when the …

Location Update Versus Paging Trade-Off In Cellular Networks: An Approach Based On Vector Quantization, Abhishek Roy, Archan Misra, Sajal K. Das

Research Collection School Of Computing and Information Systems

In this paper we propose two information-theoretic techniques for efficiently trading off the location update and paging costs associated with mobility management in wireless cellular networks. Previous approaches attempt to always accurately convey a mobile's movement sequence and hence, cannot reduce the signaling cost below the entropy bound. Our proposed techniques, however, exploit rate-distortion theory to arbitrarily reduce the update cost, at the expense of an increase in the corresponding paging overhead. To this end, we describe two location tracking algorithms, based on spatial quantization and temporal quantization, which first quantize the movement sequence into a smaller set of codewords, …

A Direct Algorithm For The K-Nearest-Neighbor Classifier Via Local Warping Of The Distance Metric, Tohkoon Neo

Theses and Dissertations

The k-nearest neighbor (k-NN) pattern classifier is a simple yet effective learner. However, it has a few drawbacks, one of which is the large model size. There are a number of algorithms that are able to condense the model size of the k-NN classifier at the expense of accuracy. Boosting is therefore desirable for increasing the accuracy of these condensed models. Unfortunately, there does not exist a boosting algorithm that works well with k-NN directly. We present a direct boosting algorithm for the k-NN classifier that creates an ensemble of models with locally modified distance weighting. An empirical study conducted …

[Accepted Article Manuscript Version (Postprint)] The Social Implications Of Enjoyment Of Different Types Of Music, Movies, And Television Programming, Alice Hall

Communication and Media Faculty Works

This study investigated how information about an individual’s enjoyment of various genres of music, film, and TV programming could influence an observer’s expectations of that individual. An online survey of young adults found that the influence of information about another person’s genre preferences varied across genres. Enjoyment of some genres, including jazz music, film comedies, and television comedies, tended to raise expectations of the individual, whereas enjoyment of others, including heavy metal music, anime films, and television soap operas, tended to lower them. The implications of the findings are discussed in relation to uses and gratifications perspectives as well as …

Supporting Flight Control For Uav-Assisted Wilderness Search And Rescue Through Human Centered Interface Design, Joseph L. Cooper

Theses and Dissertations

Inexpensive, rapidly deployable, camera-equipped Unmanned Aerial Vehicle (UAV) systems can potentially assist with a huge number of tasks. However, in many cases such as wilderness search and rescue (WiSAR), the potential users of the system may not be trained as pilots. Simple interface concepts can be used to build an interaction layer that allows an individual with minimal operator training to use the system to facilitate a search or inspection task. We describe an analysis of WiSAR as currently accomplished and show how a UAV system might fit into the existing structure. We then discuss preliminary system design efforts for …

Camp: A Common Api For Measuring Performance, Mark Gabel, Michael Haungs

Computer Science and Software Engineering

Accurate performance testing of heterogeneous distributed systems, such as those created using GRID technology, requires a consistent method for retrieving system performance data from multiple platforms. This paper presents CAMP: a low-level platform independent performance data API designed for use with distributed testing frameworks.

CAMP is not necessarily tied to the distributed testing task: it provides a simple, low-level interface into operating system performance data that can be used to build complex performance measurement applications. This paper discusses CAMP's functionality and implementation in detail. It also contains a detailed analysis of the API's correctness, performance, and overhead.

Organization And Management Of The Sead Help Desk, Ann Evans Durbin

Regis University Student Publications (comprehensive collection)

ARNe (Regis University Academic Research Network Enterprise), is the graduate student run and managed intranet which is organized as an IT company. The operating structure is based upon a Service Oriented Architecture where each student is involved in an operating portion of the network. New students participating in the SEAD practicum are required to work the ARNe help desk as a requirement of their project. They are expected to login to Track-It! on a daily basis and check for new tickets in the queue. The tickets are submitted by students as well as faculty. Without having a defined "walk through" …

Distinct Value Estimation By Sampling On Unstructured Peer To Peer Networks, Zubin Matthew Joseph

Computer Science and Engineering Theses - Archive

Peer-to-Peer networks have become very popular on the Internet, with millions of peers all over the world sharing large volumes of data. The sheer scale of these networks has made it difficult to gather statistics that could be used for building new features. This thesis presents a technique of obtaining estimations of the number of distinct values matching a query on the network. The method is then analyzed by considering simulation results that demonstrate its effectiveness and flexibility in supporting a variety of queries and applications.