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Title: A simplistic approach to reactive multi-robot navigation in unknown environments.
Creator: MacKunis, William Thomas., Florida Atlantic University, Raviv, Daniel, College of Engineering and Computer Science, Department of Computer and Electrical Engineering and Computer Science
Abstract/Description: Multi-agent control is a very promising area of robotics. In applications for which it is difficult or impossible for humans to intervene, the utilization of multi-agent, autonomous robot groups is indispensable. This thesis presents a novel approach to reactive multi-agent control that is practical and elegant in its simplicity. The basic idea upon which this approach is based is that a group of robots can cooperate to determine the shortest path through a previously unmapped environment by...
Show moreMulti-agent control is a very promising area of robotics. In applications for which it is difficult or impossible for humans to intervene, the utilization of multi-agent, autonomous robot groups is indispensable. This thesis presents a novel approach to reactive multi-agent control that is practical and elegant in its simplicity. The basic idea upon which this approach is based is that a group of robots can cooperate to determine the shortest path through a previously unmapped environment by virtue of redundant sharing of simple data between multiple agents. The idea was implemented with two robots. In simulation, it was tested with over sixty agents. The results clearly show that the shortest path through various environments emerges as a result of redundant sharing of information between agents. In addition, this approach exhibits safeguarding techniques that reduce the risk to robot agents working in unknown and possibly hazardous environments. Further, the simplicity of this approach makes implementation very practical and easily expandable to reliably control a group comprised of many agents.
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Date Issued: 2003
PURL: http://purl.flvc.org/fcla/dt/13013
Subject Headings: Robots--Control systems, Intelligent control systems, Genetic algorithms, Parallel processing (Electronic computers)
Format: Document (PDF)

Title: Software design using case based reasoning.
Creator: Smith, Nancy T., Florida Atlantic University, Ganesan, Krishnamurthy, College of Engineering and Computer Science, Department of Computer and Electrical Engineering and Computer Science
Abstract/Description: The project that was created for this thesis is a Case Based Reasoning application to be used in high level software design for Siemens' Telecommunications software. Currently, design engineers search for existing subtasks in the software that are similar to subtasks in their new designs by reading documentation and consulting with other engineers. The prototype for Software Design Using Case Based Reasoning (SDUCBR) stores these subtasks in a case library and enables the design engineer to...
Show moreThe project that was created for this thesis is a Case Based Reasoning application to be used in high level software design for Siemens' Telecommunications software. Currently, design engineers search for existing subtasks in the software that are similar to subtasks in their new designs by reading documentation and consulting with other engineers. The prototype for Software Design Using Case Based Reasoning (SDUCBR) stores these subtasks in a case library and enables the design engineer to locate relevant subtasks via three different indexing techniques. This thesis addresses knowledge representation and indexing mechanisms appropriate for this application. SDUCBR is domain-dependent. Cases are stored in a relational hierarchy to facilitate analyzing the existing implementation from various perspectives. The indexing mechanisms were designed to provide the software design engineer with the flexibility of describing a problem differently based on the objective, level of granularity, and special characteristics of the subtask.
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Date Issued: 1995
PURL: http://purl.flvc.org/fcla/dt/15198
Subject Headings: Computer software--Development, Case-based reasoning, Artificial intelligence--Data processing, System design
Format: Document (PDF)

Title: PRESERVING KNOWLEDGE IN SIMULATED BEHAVIORAL ACTION LOOPS.
Creator: St.Clair, Rachel, Barenholtz, Elan, Hahn, William, Florida Atlantic University, Center for Complex Systems and Brain Sciences, Charles E. Schmidt College of Science
Abstract/Description: One basic goal of artificial learning systems is the ability to continually learn throughout that system’s lifetime. Transitioning between tasks and re-deploying prior knowledge is thus a desired feature of artificial learning. However, in the deep-learning approaches, the problem of catastrophic forgetting of prior knowledge persists. As a field, we want to solve the catastrophic forgetting problem without requiring exponential computations or time, while demonstrating real-world relevance....
Show moreOne basic goal of artificial learning systems is the ability to continually learn throughout that system’s lifetime. Transitioning between tasks and re-deploying prior knowledge is thus a desired feature of artificial learning. However, in the deep-learning approaches, the problem of catastrophic forgetting of prior knowledge persists. As a field, we want to solve the catastrophic forgetting problem without requiring exponential computations or time, while demonstrating real-world relevance. This work proposes a novel model which uses an evolutionary algorithm similar to a meta-learning objective, that is fitted with a resource constraint metrics. Four reinforcement learning environments are considered with the shared concept of depth although the collection of environments is multi-modal. This system shows preservation of some knowledge in sequential task learning and protection of catastrophic forgetting in deep neural networks.
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Date Issued: 2022
PURL: http://purl.flvc.org/fau/fd/FA00013896
Subject Headings: Artificial intelligence, Deep learning (Machine learning), Reinforcement learning, Neural networks (Computer science)
Format: Document (PDF)

Title: Face Processing Using Mobile Devices.
Creator: James, Jhanon, Marques, Oge, Florida Atlantic University, College of Engineering and Computer Science, Department of Computer and Electrical Engineering and Computer Science
Abstract/Description: Image Processing and Computer Vision solutions have become commodities for software developers, thanks to the growing availability of Application Program- ming Interfaces (APIs) that encapsulate rich functionality, powered by advanced al- gorithms. To understand and create an e cient method to process faces in images by computers, one must understand how the human visual system processes them. Face processing by computers has been an active research area for about 50 years now. Face detection...
Show moreImage Processing and Computer Vision solutions have become commodities for software developers, thanks to the growing availability of Application Program- ming Interfaces (APIs) that encapsulate rich functionality, powered by advanced al- gorithms. To understand and create an e cient method to process faces in images by computers, one must understand how the human visual system processes them. Face processing by computers has been an active research area for about 50 years now. Face detection has become a commodity and is now incorporated into simple devices such as digital cameras and smartphones. An iOS app was implemented in Objective-C using Microsoft Cognitive Ser- vices APIs, as a tool for human vision and face processing research. Experimental work on image compression, upside-down orientation, the Thatcher e ect, negative inversion, high frequency, facial artifacts, caricatures and image degradation were completed on the Radboud and 10k US Adult Faces Databases along with other images.
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Date Issued: 2016
PURL: http://purl.flvc.org/fau/fd/FA00004770, http://purl.flvc.org/fau/fd/FA00004770
Subject Headings: Image processing--Digital techniques., Mobile communication systems., Mobile computing., Artificial intelligence., Human face recognition (Computer science), Computer vision., Optical pattern recognition.
Format: Document (PDF)

Title: Smart low power obstacle avoidance device.
Creator: Cividanes, Ernesto., College of Engineering and Computer Science, Department of Computer and Electrical Engineering and Computer Science
Abstract/Description: Several technologies are being made available for the blind and the visually impaired with the use of infrared and sonar sensors, Radio Frequency Identification, GPS, Wi-Fi among others. Current technologies utilizing microprocessors increase the device's power consumption. In this project, a Verilog Hardware Language (VHDL) designed handheld device that autonomously guides a visually impaired user through an obstacle free path is proposed. The goal is to minimize power consumption by not...
Show moreSeveral technologies are being made available for the blind and the visually impaired with the use of infrared and sonar sensors, Radio Frequency Identification, GPS, Wi-Fi among others. Current technologies utilizing microprocessors increase the device's power consumption. In this project, a Verilog Hardware Language (VHDL) designed handheld device that autonomously guides a visually impaired user through an obstacle free path is proposed. The goal is to minimize power consumption by not using the usual microcontroller and replacing it with components that can increase its speed. Utilizing six infrared sensors, the handheld device is modeled after current technologies which use IR and sonar sensors which are reviewed in this project. By using behavioral modeling, an algorithm for obstacle avoidance and the generation of the obstacle free path is reduced using a K-map and implemented using a multiplexer.
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Date Issued: 2010
PURL: http://purl.flvc.org/FAU/2954841
Subject Headings: Verilog (Computer hardware description language), VHDL (Computer hardware description language), Rapid prototyping, Logic design, Intelligent control systems, Brain-computer interfaces
Format: Document (PDF)

Title: Multimedia Big Data Processing Using Hpcc Systems.
Creator: Chinta, Vishnu, Kalva, Hari, Florida Atlantic University, College of Engineering and Computer Science, Department of Computer and Electrical Engineering and Computer Science
Abstract/Description: There is now more data being created than ever before and this data can be any form of data, textual, multimedia, spatial etc. To process this data, several big data processing platforms have been developed including Hadoop, based on the MapReduce model and LexisNexis’ HPCC systems. In this thesis we evaluate the HPCC Systems framework with a special interest in multimedia data analysis and propose a framework for multimedia data processing. It is important to note that multimedia data...
Show moreThere is now more data being created than ever before and this data can be any form of data, textual, multimedia, spatial etc. To process this data, several big data processing platforms have been developed including Hadoop, based on the MapReduce model and LexisNexis’ HPCC systems. In this thesis we evaluate the HPCC Systems framework with a special interest in multimedia data analysis and propose a framework for multimedia data processing. It is important to note that multimedia data encompasses a wide variety of data including but not limited to image data, video data, audio data and even textual data. While developing a unified framework for such wide variety of data, we have to consider computational complexity in dealing with the data. Preliminary results show that HPCC can potentially reduce the computational complexity significantly.
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Date Issued: 2017
PURL: http://purl.flvc.org/fau/fd/FA00004875, http://purl.flvc.org/fau/fd/FA00004875
Subject Headings: Big data., High performance computing., Software engineering., Artificial intelligence--Data processing., Management information systems., Multimedia systems.
Format: Document (PDF)

Title: Kicks and Maps A different Approach to Modeling Biological Systems.
Creator: Ippolito, Stephen Anthony, Naudot, Vincent, Florida Atlantic University, Charles E. Schmidt College of Science, Department of Mathematical Sciences
Abstract/Description: Modeling a biological systems, is a cyclic process which involves constructing a model from current theory and beliefs and then validating that model against the data. If the data does not match, qualitatively or quantitatively then there may be a problem with either our beliefs or the current theory. At the same time directly finding a model from the existing data would make generalizing results difficult. A considerable difficultly in this process is how to specify the model in the first...
Show moreModeling a biological systems, is a cyclic process which involves constructing a model from current theory and beliefs and then validating that model against the data. If the data does not match, qualitatively or quantitatively then there may be a problem with either our beliefs or the current theory. At the same time directly finding a model from the existing data would make generalizing results difficult. A considerable difficultly in this process is how to specify the model in the first place. There is a need to be practice which accounts for the growing use of mathematical and statistical methods. However, as a systems becomes more complex, standard mathematical approaches may not be sufficient. In the field of ecology, the standard techniques involve discrete maps, and continuous models such as ODE's. The intent of this work is to present the mathematics necessary to study hybrids of these two models, then consider two case studies. In first case we con sider a coral reef with continuous change, except in the presence of hurricanes. The results of the data are compared quantitatively and qualitatively with simulation results. For the second case we consider a model for rabies with a periodic birth pulse. Here the analysis is qualitative as we demonstrate the existence of a strange attractor by looking at the intersections of the stable and unstable manifold for the saddle point generating the attractor. For both cases studies the introduction of a discrete event into a continuous system is done via a Dirac Distribution or Measure.
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Date Issued: 2015
PURL: http://purl.flvc.org/fau/fd/FA00004508, http://purl.flvc.org/fau/fd/FA00004508
Subject Headings: Artificial intellligence -- Biological applications, Biology -- Mathematical models, Computational intelligence, Differential dynamical systems, Nonliner mechanics -- Mathematical models
Format: Document (PDF)

Title: MAPLE: A knowledge-based system for computer-aided music composition.
Creator: Shaouy, William Philip., Florida Atlantic University, Hewett, Rattikorn, College of Engineering and Computer Science, Department of Computer and Electrical Engineering and Computer Science
Abstract/Description: Computer-aided music composition is a highly structured process. This thesis presents MAPLE, a prototype knowledge-based system that assists music composition by analyzing primordial lines in Western music. Unlike other music analysis systems, MAPLE uses an internal connective musical structure that provides a foundation for analysis. Thus our approach has a building block capability allowing easy extensions for analyzing more complex musical structures. We present a type hierarchy and...
Show moreComputer-aided music composition is a highly structured process. This thesis presents MAPLE, a prototype knowledge-based system that assists music composition by analyzing primordial lines in Western music. Unlike other music analysis systems, MAPLE uses an internal connective musical structure that provides a foundation for analysis. Thus our approach has a building block capability allowing easy extensions for analyzing more complex musical structures. We present a type hierarchy and hierarchical dependency of different musical concepts for controlling complex musical analysis processes. We provide comparisons of various knowledge representation structures and their corresponding inference mechanisms used for music analysis and conclude with a projection of an appropriate form of knowledge representation for musical knowledge.
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Date Issued: 1993
PURL: http://purl.flvc.org/fcla/dt/14986
Subject Headings: Music--Computer programs, Composition (Music)--Mechanical aids, Artificial intelligence--Musical applications, Musical analysis--Data processing
Format: Document (PDF)

Title: Framework for Integration of the Driving Simulator in Connected Vehicle Environment.
Creator: Ostojic, Bratislav, Stevanovic, Aleksandar, Florida Atlantic University, College of Engineering and Computer Science, Department of Civil, Environmental and Geomatics Engineering
Abstract/Description: Research on connected vehicles (CV) has attracted attention in the last decade due to numerous potential applications and challenges related to exchange of information between the vehicles (and infrastructure). Most of the relevant studies focus on these applications and challenges with the help of novel or existing simulation frameworks. The simulation framework often contains the mobility and communication components, and these components are frequently simplified. In this study, the...
Show moreResearch on connected vehicles (CV) has attracted attention in the last decade due to numerous potential applications and challenges related to exchange of information between the vehicles (and infrastructure). Most of the relevant studies focus on these applications and challenges with the help of novel or existing simulation frameworks. The simulation framework often contains the mobility and communication components, and these components are frequently simplified. In this study, the authors aim to provide the detailed information for developing a fully V2X capable infrastructure within the lab environment. The physical components of the proposed infrastructure include: (i) userdriven Driving Simulator (DS) with the embedded micro-simulation tool (MS); (ii) external traffic signal controller (TSC); (iii) Road Side Unit (RSU) and omnidirectional antenna attached to RSU; (iv) On-Board Unit (OBU) that is integrated within DS‘s cockpit. The proposed framework can be used for advanced applications in the context of connected vehicles.
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Date Issued: 2017
PURL: http://purl.flvc.org/fau/fd/FA00004936, http://purl.flvc.org/fau/fd/FA00004936
Subject Headings: Intelligent transportation systems., Wireless communication systems., Traffic flow--Computer simulation., Traffic signs and signals--Evaluation--Computer simulation., Highway communications.
Format: Document (PDF)

Title: Design of an Aquatic Quadcopter with Optical Wireless Communications.
Creator: Haller, Patterson, Abtahi, Homayoon, Florida Atlantic University, College of Engineering and Computer Science, Department of Ocean and Mechanical Engineering
Abstract/Description: With a focus on dynamics and control, an aquatic quadcopter with optical wireless communications is modeled, designed, constructed, and tested. Optical transmitter and receiver circuitry is designed and discussed. By utilization of the small angle assumption, the nonlinear dynamics of quadcopter movement are linearized around an equilibrium state of zero motion. The set of equations are then tentatively employed beyond limit of the small angle assumption, as this work represents an initial...
Show moreWith a focus on dynamics and control, an aquatic quadcopter with optical wireless communications is modeled, designed, constructed, and tested. Optical transmitter and receiver circuitry is designed and discussed. By utilization of the small angle assumption, the nonlinear dynamics of quadcopter movement are linearized around an equilibrium state of zero motion. The set of equations are then tentatively employed beyond limit of the small angle assumption, as this work represents an initial explorative study. Specific constraints are enforced on the thrust output of all four rotors to reduce the multiple-input multiple-output quadcopter dynamics to a set of single-input single-output systems. Root locus and step response plots are used to analyze the roll and pitch rotations of the quadcopter. Ultimately a proportional integral derivative based control system is designed to control the pitch and roll. The vehicle’s yaw rate is similarly studied to develop a proportional controller. The prototype is then implemented via an I2C network of Arduino microcontrollers and supporting hardware.
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Date Issued: 2016
PURL: http://purl.flvc.org/fau/fd/FA00004786, http://purl.flvc.org/fau/fd/FA00004786
Subject Headings: Autonomous robots--Design and construction., Embedded computer systems--Design and construction., Wireless communication systems., Artificial intelligence., Optical pattern recognition., Computer vision.
Format: Document (PDF)

Title: Determining the Effectiveness of Human Interaction in Human-in-the-Loop Systems by Using Mental States.
Creator: Lloyd, Eric, Huang, Shihong, Florida Atlantic University, College of Engineering and Computer Science, Department of Computer and Electrical Engineering and Computer Science
Abstract/Description: A self-adaptive software is developed to predict the stock market. It’s Stock Prediction Engine functions autonomously when its skill-set suffices to achieve its goal, and it includes human-in-the-loop when it recognizes conditions benefiting from more complex, expert human intervention. Key to the system is a module that decides of human participation. It works by monitoring three mental states unobtrusively and in real time with Electroencephalography (EEG). The mental states are drawn from...
Show moreA self-adaptive software is developed to predict the stock market. It’s Stock Prediction Engine functions autonomously when its skill-set suffices to achieve its goal, and it includes human-in-the-loop when it recognizes conditions benefiting from more complex, expert human intervention. Key to the system is a module that decides of human participation. It works by monitoring three mental states unobtrusively and in real time with Electroencephalography (EEG). The mental states are drawn from the Opportunity-Willingness-Capability (OWC) model. This research demonstrates that the three mental states are predictive of whether the Human Computer Interaction System functions better autonomously (human with low scores on opportunity and/or willingness, capability) or with the human-in-the-loop, with willingness carrying the largest predictive power. This transdisciplinary software engineering research exemplifies the next step of self-adaptive systems in which human and computer benefit from optimized autonomous and cooperative interactions, and in which neural inputs allow for unobtrusive pre-interactions.
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Date Issued: 2016
PURL: http://purl.flvc.org/fau/fd/FA00004764, http://purl.flvc.org/fau/fd/FA00004764
Subject Headings: Cognitive neuroscience., Neural networks (Computer science), Pattern recognition systems., Artificial intelligence., Self-organizing systems., Human-computer interaction., Human information processing.
Format: Document (PDF)

Title: On Development of Arterial Fundamental Diagrams Based on Surrogate Density Measures from Adaptive Traffic Control Systems Utilizing Stop Line Detection.
Creator: Dakic, Igor, Stevanovic, Aleksandar, Florida Atlantic University, College of Engineering and Computer Science, Department of Civil, Environmental and Geomatics Engineering
Abstract/Description: Macroscopic fundamental diagram is the concept of the highest importance in traffic flow theory used for development of network-wide control strategies. Previous studies showed that so called Arterial Fundamental Diagrams (AFDs) properly depict relationships between major macroscopic traffic variables on urban arterials. Most of these studies used detector’s occupancy as a surrogate measure to represent traffic density. Nevertheless, detector’s occupancy is not very often present in the field...
Show moreMacroscopic fundamental diagram is the concept of the highest importance in traffic flow theory used for development of network-wide control strategies. Previous studies showed that so called Arterial Fundamental Diagrams (AFDs) properly depict relationships between major macroscopic traffic variables on urban arterials. Most of these studies used detector’s occupancy as a surrogate measure to represent traffic density. Nevertheless, detector’s occupancy is not very often present in the field data. More frequently, field data from arterial streets provide performance metrics measured at the stop lines of traffic signals, which represent a hybrid of flow and occupancy. When such performance measures are used in lieu of density, the outcomes of the relationships between macroscopic fundamental variables can be confusing. This study investigates appropriateness of using degree of saturation, as a representative surrogate measure of traffic density, obtained from an adaptive traffic control system that utilizes stop-line detectors, for development of AFDs.
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Date Issued: 2016
PURL: http://purl.flvc.org/fau/fd/FA00004672, http://purl.flvc.org/fau/fd/FA00004672
Subject Headings: Adaptive control systems, Intelligent transportation systems, Traffic engineering, Traffic estimation -- Computer simulation, Traffic estimation -- Mathematical models, Traffic flow -- Computer simulation, Traffic flow -- Mathematical models
Format: Document (PDF)

Title: Stereo vision-based target tracking system for USV operations.
Creator: Sinisterra, Armando Jose, Dhanak, Manhar R., Florida Atlantic University, College of Engineering and Computer Science, Department of Ocean and Mechanical Engineering
Abstract/Description: A methodology to estimate the state of a moving marine vehicle, defined by its position, velocity and heading, from an unmanned surface vehicle (USV), also in motion, using a stereo vision-based system, is presented in this work, in support of following a target vehicle using an USV.
Date Issued: 2015
PURL: http://purl.flvc.org/fau/fd/FA00004466, http://purl.flvc.org/fau/fd/FA00004466
Subject Headings: Adaptive control systems, Adaptive signal processing, Computer vision, Inertial navigation systems, Intelligent control systems, Motion segmentaton, Oceanographic instruments -- Development, Ubiquitous computing
Format: Document (PDF)

Title: Adaptive Routing Protocols for VANET.
Creator: Skiles, Joanne, Mahgoub, Imad, Florida Atlantic University, College of Engineering and Computer Science, Department of Computer and Electrical Engineering and Computer Science
Abstract/Description: A Vehicular Ad-hoc Network (VANET) is a wireless ad-hoc network that provides communications among vehicles with on-board units and between vehicles and nearby roadside units. The success of a VANET relies on the ability of a routing protocol to ful ll the throughput and delivery requirements of any applications operating on the network. Currently, most of the proposed VANET routing protocols focus on urban or highway environments. This dissertation addresses the need for an adaptive routing...
Show moreA Vehicular Ad-hoc Network (VANET) is a wireless ad-hoc network that provides communications among vehicles with on-board units and between vehicles and nearby roadside units. The success of a VANET relies on the ability of a routing protocol to ful ll the throughput and delivery requirements of any applications operating on the network. Currently, most of the proposed VANET routing protocols focus on urban or highway environments. This dissertation addresses the need for an adaptive routing protocol in VANETs which is able to tolerate low and high-density network tra c with little throughput and delay variation. This dissertation proposes three Geographic Ad-hoc On-Demand Distance Vector (GEOADV) protocols. These three GEOADV routing protocols are designed to address the lack of exibility and adaptability in current VANET routing protocols. The rst protocol, GEOADV, is a hybrid geographic routing protocol. The second protocol, GEOADV-P, enhances GEOADV by introducing predictive features. The third protocol, GEOADV-PF improves optimal route selection by utilizing fuzzy logic in addition to GEOADV-P's predictive capabilities. To prove that GEOADV and GEOADV-P are adaptive their performance is demonstrated by both urban and highway simulations. When compared to existing routing protocols, GEOADV and GEOADV-P lead to less average delay and a higher average delivery ratio in various scenarios. These advantages allow GEOADV- P to outperform other routing protocols in low-density networks and prove itself to be an adaptive routing protocol in a VANET environment. GEOADV-PF is introduced to improve GEOADV and GEOADV-P performance in sparser networks. The introduction of fuzzy systems can help with the intrinsic demands for exibility and adaptability necessary for VANETs. An investigation into the impact adaptive beaconing has on the GEOADV protocol is conducted. GEOADV enhanced with an adaptive beacon method is compared against GEOADV with three xed beacon rates. Our simulation results show that the adaptive beaconing scheme is able to reduce routing overhead, increase the average delivery ratio, and decrease the average delay.
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Date Issued: 2017
PURL: http://purl.flvc.org/fau/fd/FA00004926, http://purl.flvc.org/fau/fd/FA00004926
Subject Headings: Vehicular ad hoc networks (Computer networks)--Design and construction., Routing protocols (Computer network protocols), Wireless sensor networks., Computer algorithms., Mobile computing., Mobile communication systems--Technological innovations., Wireless communication systems--Technological innovations., Intelligent transportation systems--Mathematical models.
Format: Document (PDF)

Title: The future will be better tomorrow: a novel of apocalyptic sarcasm.
Creator: Irving, Christopher J., Bucak, Ayse Papatya, Florida Atlantic University, Dorothy F. Schmidt College of Arts and Letters, Department of English
Abstract/Description: The Future Will Be Better Tomorrow is a satirical post-apocalyptic novel that examines the personal and social ironies that occur in a society that is unbalanced by an unexplained apocalyptic event. Working with a combination of dark humor and the terrifying realities of an apocalyptic event – in this case: a blackout – the novel aims to challenge the machinery established by this particular subset of the science fiction genre.
Date Issued: 2014
PURL: http://purl.flvc.org/fau/fd/FA00004124, http://purl.flvc.org/fau/fd/FA00004124
Subject Headings: Computer science., Computer communication systems., Data structures (Computer science)., Database management., Information storage and retrieval., Artificial intelligence., Computer Science., Data Structures, Cryptology and Information Theory., Database Management., Information Storage and Retrieval.
Format: Document (PDF)

Title: Implementations Of The DTM, DADCQ And SLAB VANET Broadcast Protocols For The Ns-3 Simulator.
Creator: Alwakeel, Ahmed M., Mahgoub, Imad, Florida Atlantic University, College of Engineering and Computer Science, Department of Computer and Electrical Engineering and Computer Science
Abstract/Description: This work presents the implementations of three adaptive broadcast protocols for vehicular ad hoc networks (VANET) using the Network Simulator 3 (Ns-3). Performing real life tests for VANET protocols is very costly and risky, so simulation becomes a viable alternative technique. Ns-3 is one of the most advanced open source network simulators. Yet Ns-3 lacks implementations of broadcast protocols for VANET. We first implement the Distance to Mean (DTM) protocol, which uses the distance to mean...
Show moreThis work presents the implementations of three adaptive broadcast protocols for vehicular ad hoc networks (VANET) using the Network Simulator 3 (Ns-3). Performing real life tests for VANET protocols is very costly and risky, so simulation becomes a viable alternative technique. Ns-3 is one of the most advanced open source network simulators. Yet Ns-3 lacks implementations of broadcast protocols for VANET. We first implement the Distance to Mean (DTM) protocol, which uses the distance to mean to determine if a node should rebroadcast or not. We then implement the Distribution-Adaptive Distance with Channel Quality (DADCQ) protocol, which uses node distribution, channel quality and distance to determine if a node should favor rebroadcasting. The third protocol, Statistical Location-Assisted Broadcast protocol (SLAB), is an improvement of DADCQ which automates the threshold function design using machine learning. Our NS-3 implementations of the three protocols have been validated against their JiST/SWANS implementations.
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Date Issued: 2016
PURL: http://purl.flvc.org/fau/fd/FA00004565, http://purl.flvc.org/fau/fd/FA00004565
Subject Headings: Vehicular ad hoc networks (Computer networks)--Technological innovations., Wireless communication systems--Technological innovations., Mobile communication systems--Technological innovations., Mobile computing., Intelligent transportation systems--Mathematical models., Routing protocols (Computer network protocols)
Format: Document (PDF)

Title: Mapping urban land cover using multi-scale and spatial autocorrelation information in high resolution imagery.
Creator: Johnson, Brian A., Charles E. Schmidt College of Science, Department of Geosciences
Abstract/Description: Fine-scale urban land cover information is important for a number of applications, including urban tree canopy mapping, green space analysis, and urban hydrologic modeling. Land cover information has traditionally been extracted from satellite or aerial images using automated image classification techniques, which classify pixels into different categories of land cover based on their spectral characteristics. However, in fine spatial resolution images (4 meters or better), the high degree of...
Show moreFine-scale urban land cover information is important for a number of applications, including urban tree canopy mapping, green space analysis, and urban hydrologic modeling. Land cover information has traditionally been extracted from satellite or aerial images using automated image classification techniques, which classify pixels into different categories of land cover based on their spectral characteristics. However, in fine spatial resolution images (4 meters or better), the high degree of within-class spectral variability and between-class spectral similarity of many types of land cover leads to low classification accuracy when pixel-based, purely spectral classification techniques are used. Object-based classification methods, which involve segmenting an image into relatively homogeneous regions (i.e. image segments) prior to classification, have been shown to increase classification accuracy by incorporating the spectral (e.g. mean, standard deviation) and non-spectral (e.g. te xture, size, shape) information of image segments for classification. One difficulty with the object-based method, however, is that a segmentation parameter (or set of parameters), which determines the average size of segments (i.e. the segmentation scale), is difficult to choose. Some studies use one segmentation scale to segment and classify all types of land cover, while others use multiple scales due to the fact that different types of land cover typically vary in size. In this dissertation, two multi-scale object-based classification methods were developed and tested for classifying high resolution images of Deerfield Beach, FL and Houston, TX. These multi-scale methods achieved higher overall classification accuracies and Kappa coefficients than single-scale object-based classification methods., Since the two dissertation methods used an automated algorithm (Random Forest) for image classification, they are also less subjective and easier to apply to other study areas than most existing multi-scale object-based methods that rely on expert knowledge (i.e. decision rules developed based on detailed visual inspection of image segments) for classifying each type of land cover.
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Date Issued: 2012
PURL: http://purl.flvc.org/FAU/3342110
Subject Headings: Image processing, Digital techniques, Remote sensing, Mathematics, Remote-sensing images, Computational intelligence, Cities and towns, Remote sensing, Environmental sciences, Remote sensing, Spatial analysis (Statistics)
Format: Document (PDF)

Artificial intelligence (20)	+ -
Neural networks (Computer science) (16)	+ -
Artificial intelligence. (9)	+ -
Computational intelligence (6)	+ -
Adaptive control systems (4)	+ -

Intelligent control systems (4)	+ -
Intelligent transportation systems (4)	+ -
Mobile computing. (4)	+ -
Pattern recognition systems (4)	+ -
Routing protocols (Computer network protocols) (4)	+ -
Back propagation (Artificial intelligence) (3)	+ -
Fuzzy logic (3)	+ -
Intelligent transportation systems. (3)	+ -
Machine learning (3)	+ -
System design (3)	+ -
Wireless communication systems. (3)	+ -
Bioinformatics (2)	+ -
Computer Science. (2)	+ -
Computer algorithms. (2)	+ -
Computer communication systems. (2)	+ -
Computer science. (2)	+ -
Computer vision (2)	+ -
Computer vision. (2)	+ -
Cyber intelligence (Computer security) (2)	+ -
Deep learning (Machine learning) (2)	+ -
Expert systems (Computer science) (2)	+ -
Genetic algorithms (2)	+ -
Image processing (2)	+ -
Intelligent control systems. (2)	+ -
Intelligent transportation systems--Mathematical models. (2)	+ -

Florida Atlantic University (51)	+ -
College of Engineering and Computer Science (40)	+ -
Department of Computer and Electrical Engineering and Computer Science (32)	+ -
Charles E. Schmidt College of Science (9)	+ -
Mahgoub, Imad (6)	+ -

Department of Ocean and Mechanical Engineering (5)	+ -
Khoshgoftaar, Taghi M. (4)	+ -
Pandya, Abhijit S. (4)	+ -
Barenholtz, Elan (3)	+ -
Department of Civil, Environmental and Geomatics Engineering (3)	+ -
Department of Psychology (3)	+ -
Dorothy F. Schmidt College of Arts and Letters (3)	+ -
Bou-Harb, Elias (2)	+ -
Center for Complex Systems and Brain Sciences (2)	+ -
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