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Applications Of Agent Based Approaches In Business: A Three Essay Dissertation, Shankar Prawesh Jan 2013

Applications Of Agent Based Approaches In Business: A Three Essay Dissertation, Shankar Prawesh

USF Tampa Graduate Theses and Dissertations

The goal of this dissertation is to investigate the enabling role that agent based simulation plays in business and policy. The aforementioned issue has been addressed in this dissertation through three distinct, but related essays. The first essay is a literature review of different research applications of agent based simulation in various business disciplines, such as finance, economics, information systems, management, marketing and accounting. Various agent based simulation tools to develop computational models are discussed. The second essay uses an agent-based simulation approach to study important properties of the widely used most popular news recommender systems (NRS). This essay highlights …


Automatic Generation Of Music For Inducing Emotive And Physiological Responses, Kristine Perry Monteith Aug 2012

Automatic Generation Of Music For Inducing Emotive And Physiological Responses, Kristine Perry Monteith

Theses and Dissertations

Music and emotion are two realms traditionally considered to be unique to human intelligence. This dissertation focuses on furthering artificial intelligence research, specifically in the area of computational creativity, by investigating methods of composing music that elicits desired emotional and physiological responses. It includes the following: an algorithm for generating original musical selections that effectively elicit targeted emotional and physiological responses; a description of some of the musical features that contribute to the conveyance of a given emotion or the elicitation of a given physiological response; and an account of how this algorithm can be used effectively in two different …


A Physiological Signal Processing System For Optimal Engagement And Attention Detection., Ashwin Belle Jul 2012

A Physiological Signal Processing System For Optimal Engagement And Attention Detection., Ashwin Belle

Theses and Dissertations

In today’s high paced, hi-tech and high stress environment, with extended work hours, long to-do lists and neglected personal health, sleep deprivation has become common in modern culture. Coupled with these factors is the inherent repetitious and tedious nature of certain occupations and daily routines, which all add up to an undesirable fluctuation in individuals’ cognitive attention and capacity. Given certain critical professions, a momentary or prolonged lapse in attention level can be catastrophic and sometimes deadly. This research proposes to develop a real-time monitoring system which uses fundamental physiological signals such as the Electrocardiograph (ECG), to analyze and predict …


An Integrated Data Mining Approach To Real-Time Clinical Monitoring And Deterioration Warning, Yi Mao, Wenlin Chen, Yixin Chen, Chenyang Lu Jan 2012

An Integrated Data Mining Approach To Real-Time Clinical Monitoring And Deterioration Warning, Yi Mao, Wenlin Chen, Yixin Chen, Chenyang Lu

All Computer Science and Engineering Research

Clinical study found that early detection and intervention are essential for preventing clinical deterioration in patients, for patients both in intensive care units (ICU) as well as in general wards but under real-time data sensing (RDS). In this paper, we develop an integrated data mining approach to give early deterioration warnings for patients under real-time monitoring in ICU and RDS. Existing work on mining real-time clinical data often focus on certain single vital sign and specific disease. In this paper, we consider an integrated data mining approach for general sudden deterioration warning. We synthesize a large feature set that includes …


Morality In The Virtual Space: Applying Moral Philosophy To Digital Worlds, James O'Sullivan Jan 2012

Morality In The Virtual Space: Applying Moral Philosophy To Digital Worlds, James O'Sullivan

Theses

Since the turn of the century and the dawn of the digital age, online communities have witnessed significant growth in their importance. Significant numbers of virtual environments now exist, within which millions of individuals interact socially and economically, engaged fully in what is equivalent to a physical encounter, the only differences being the virtual representations through which they interact, and the physical security that this representation affords them. Though physically absent, individuals are fully engaged psychologically, and thus open to the same ethical dilemmas presented through reality. Application of real-world moral codes is encumbered by the existence of what 1 …


A Hierarchical Image Processing Approach For Diagnostic Analysis Of Microcirculation Videos, Nazanin Mirshahi Dec 2011

A Hierarchical Image Processing Approach For Diagnostic Analysis Of Microcirculation Videos, Nazanin Mirshahi

Theses and Dissertations

Knowledge of the microcirculatory system has added significant value to the analysis of tissue oxygenation and perfusion. While developments in videomicroscopy technology have enabled medical researchers and physicians to observe the microvascular system, the available software tools are limited in their capabilities to determine quantitative features of microcirculation, either automatically or accurately. In particular, microvessel density has been a critical diagnostic measure in evaluating disease progression and a prognostic indicator in various clinical conditions. As a result, automated analysis of the microcirculatory system can be substantially beneficial in various real-time and off-line therapeutic medical applications, such as optimization of resuscitation. …


Processing And Classification Of Physiological Signals Using Wavelet Transform And Machine Learning Algorithms, Abed Al-Raoof Bsoul Apr 2011

Processing And Classification Of Physiological Signals Using Wavelet Transform And Machine Learning Algorithms, Abed Al-Raoof Bsoul

Theses and Dissertations

Over the last century, physiological signals have been broadly analyzed and processed not only to assess the function of the human physiology, but also to better diagnose illnesses or injuries and provide treatment options for patients. In particular, Electrocardiogram (ECG), blood pressure (BP) and impedance are among the most important biomedical signals processed and analyzed. The majority of studies that utilize these signals attempt to diagnose important irregularities such as arrhythmia or blood loss by processing one of these signals. However, the relationship between them is not yet fully studied using computational methods. Therefore, a system that extract and combine …


Experimental Evaluation Of Transmission Link Characteristics In Body Area Networks, Apoorva Kiran Pandya Nov 2010

Experimental Evaluation Of Transmission Link Characteristics In Body Area Networks, Apoorva Kiran Pandya

School of Computing: Dissertations, Theses, and Student Research

Recent advances in digital electronics, embedded systems, and wireless communications have led the way to a new class of distributed Wireless Sensor Networks (WSNs). A Body Area Network (BAN) is a WSN consisting of miniaturized, low-power, autonomous, wireless biosensors, which are seamlessly placed or implanted in the human body to provide an adaptable and smart health care system. The possible applications of BAN are in health care services and medicine, assisting persons with disabilities, and entertainment and sports. The nodes in a BAN generally use IEEE 802.15.4 radios which have low- power consumption and are relatively immune to interference. In …


Automatic Generation Of Music For Inducing Emotive Response, Tony R. Martinez, Kristine Monteith, Dan A. Ventura Jan 2010

Automatic Generation Of Music For Inducing Emotive Response, Tony R. Martinez, Kristine Monteith, Dan A. Ventura

Faculty Publications

We present a system that generates original music designed to match a target emotion. It creates n-gram models, Hidden Markov Models, and other statistical distributions based on musical selections from a corpus representing a given emotion and uses these models to probabilistically generate new musical selections with similar emotional content. This system produces unique and often remarkably musical selections that tend to match a target emotion, performing this task at a level that approaches human competency for the same task.


Automatic Detection Of Child Pornography, Glen Thompson Mar 2009

Automatic Detection Of Child Pornography, Glen Thompson

Australian Digital Forensics Conference

Before the introduction of the internet, the availability of child pornography was reported as on the decline (Jenkins 2001). Since its emergence, however, the internet has made child pornography a much more accessible and available means of trafficking across borders (Biegel 2001; Jenkins 2001; Wells, Finkelhor et al. 2007). The internet as it is at present is made up of a vast array of protocols and networks where traffickers can anonymously share large volumes of illegal material amongst each other from locations with relaxed or non-existent laws that prohibit the possession or trafficking of illegal material. Likewise the internet is …


Voting In Group Support Systems : Theory, Implementation, And Results From An Exploratory Study, Kung-E Cheng Jan 2009

Voting In Group Support Systems : Theory, Implementation, And Results From An Exploratory Study, Kung-E Cheng

Dissertations

Group decision making is essential in organizations. Group Support Systems (GSS) can aide groups in making decisions by providing tools and process support. GSS is especially useful for geographically or temporally distributed groups. Researchers of GSS have pointed out that convergence processes are hard to accomplish in GSS. Voting tools in GSS can be a valuable asset in alleviating the difficulty of convergence processes because voting is a concise communication of individual preferences with a well defined procedure that is accepted by group members. In addition, voting results can serve as a group memory of the convergence processes. Field observations …


An Intelligent Face Features Generation System From Fingerprints, Şeref Sağiroğlu, Necla Özkaya Jan 2009

An Intelligent Face Features Generation System From Fingerprints, Şeref Sağiroğlu, Necla Özkaya

Turkish Journal of Electrical Engineering and Computer Sciences

In this study, a novel intelligent system based on artificial neural networks was designed and introduced for generating faces from fingerprints with high accuracy. The proposed system has a number of modules including two feature enrolment modules for acquiring the fingerprints and faces into the system, two feature extractors for extracting the feature sets of fingerprint and face biometrics, an artificial neural network module that was configured with the help of Taguchi experimental design method for establishing relationships among the biometric features, a face re-constructor for building up face features from the results of the system, and a test module …


Congestion Mitigation In Wireless Sensor Networks Using Single-Hop Backpressure Algorithm, Vijay Shekar Mangilipalli Gangu Sham Jul 2008

Congestion Mitigation In Wireless Sensor Networks Using Single-Hop Backpressure Algorithm, Vijay Shekar Mangilipalli Gangu Sham

Electrical & Computer Engineering Theses & Dissertations

Wireless sensor networks consist of a group of small components with limited resources allocated to sense the environment and transmit data to the user or interpreter. This concept is technically evolved from Sensors that are basically used to sense the environment around and collect data based on the sensing application incorporated in them. An extension to functionality of the sensors leads to the concept of sensor networks, where, in addition to gathering information at individual sensors, the data is processed and transmitted to a central station or Base station. This concept of transmitting the information from one node to the …


Integrating Game Technology And Discrete Event Simulation To Analyze Mass Casualty Scenarios, Jason Loveland Oct 2007

Integrating Game Technology And Discrete Event Simulation To Analyze Mass Casualty Scenarios, Jason Loveland

Computational Modeling & Simulation Engineering Theses & Dissertations

In the last 10 years, video games have become complex simulation environments with high resolution 3D graphics enabled by powerhouse rendering engines, multi-player client server networks, user friendly displays and graphical user interface , while remaining relatively inexpensive. There is a critical need for systems engineering analysis and rapid trade studies due to changes in operations caused by current events such as terrorist attacks, asymmetric threats, natural disasters, etc. Modem games provide a unique way to visualize and interact with these complex environments, scenarios, missions, and operations. A discrete event simulator (DES) provides an environment to model system architecture behavior, …


Smart Home Technology For Aging, Fareedh Meeran May 2006

Smart Home Technology For Aging, Fareedh Meeran

Theses

The majority of the growing population, in the US and the rest of the world requires some degree of formal and or informal care either due to the loss of function or failing health as a result of aging and most of them suffer from chronic disorders. The cost and burden of caring for elders is steadily increasing. This thesis focuses on providing the analysis of the technologies with which a Smart Home is built to improve the quality of life of the elderly. A great deal of emphasis is given to the sensor technologies that are the back bone …


The Effects Of Computerized Smell Of Memory, Brandon Spencer Jan 2005

The Effects Of Computerized Smell Of Memory, Brandon Spencer

CCAC Theses and Dissertations

It has long been recognized that there is a major correlation between smell and memory. Until recently, commercialized multi-sensory experiences involving olfaction were limited to non-computerized mediums. Companies that manufacture computerized scent technologies tout the educational benefits of their product, yet prior to this study, there appeared to be no scholarly research in regard to the efficacy of computerized scent producing peripherals in educational environments. The aim of this research was to determine the odor memory enhancement benefits of incorporating olfactory, computerized peripherals into computerized multimedia-learning environments, from both a context dependent and context independent stand point. Specifically, within a …


Energy Aware Topology Control Protocols For Wireless Sensor Networks, Shilpa Dhar Jan 2005

Energy Aware Topology Control Protocols For Wireless Sensor Networks, Shilpa Dhar

LSU Master's Theses

Wireless Sensor Network has emerged as an important technology of the future due to its potential for application across a wide array of domains. The collaborative power of numerous autonomousremote sensing nodes self configured into a multi hop network permits in-depth accurate observation of any physical phenomenon. A stringent set of computational and resource constraints make the design and implementation of sensor networks an arduous task. The issue of optimizing the limited and often non-renewable energy of sensor nodes due to its direct impact on network lifetime dominates every aspect of wireless sensor networks. Existing techniques for optimizing energy consumption …


Western Michigan University Occupational Therapy Department Web Page, Holly Pietrzak, Melissa Byrne Mar 2002

Western Michigan University Occupational Therapy Department Web Page, Holly Pietrzak, Melissa Byrne

Honors Theses

Website designed for WMU's Occupational Therapy department.


Scan-It: A Computer Vision Model Motivated By Human Physiology And Behavior, John G. Keller Jun 1999

Scan-It: A Computer Vision Model Motivated By Human Physiology And Behavior, John G. Keller

Theses and Dissertations

This dissertation details the development of a new computational vision model motivated by physiological and behavioral aspects of the human visual system. Using this model, intensity features within an artificial visual field of view are extracted and transformed into a simulated cortical representation, and a saccadic guidance system scans this field of view over an object within an image to memorize that object. The object representation is thus stored as a sequence of feature matrices describing sub-regions of the object. A new image can then be searched for the object (possibly scaled and rotated), where evidence of its presence is …