Current Search: Sensors (x)
Pages
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Title
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2D AND 3D SHAPE VARIATION AMONG ELASMOBRANCH OLFACTORY ROSETTES.
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Creator
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Clark, Aubrey E., Porter, Marianne E., Meredith, Tricia L., Florida Atlantic University, Department of Biological Sciences, Charles E. Schmidt College of Science
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Abstract/Description
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The functional impacts of olfactory rosette variation in elasmobranchs is unresolved. Our goal was to quantify rosette morphology and shape from 14 species using dissections, phylogenetic comparisons, and microCT imaging. We hypothesized that lamellar count and rosette shape (fineness ratio) would not scale with animal size, but internal rosette size variables must scale positively. We found that fineness ratio and lamellar counts varied significantly among species, and were positively...
Show moreThe functional impacts of olfactory rosette variation in elasmobranchs is unresolved. Our goal was to quantify rosette morphology and shape from 14 species using dissections, phylogenetic comparisons, and microCT imaging. We hypothesized that lamellar count and rosette shape (fineness ratio) would not scale with animal size, but internal rosette size variables must scale positively. We found that fineness ratio and lamellar counts varied significantly among species, and were positively correlated. The first two principal components of the pPCA explained 82% of the variation, with fineness ratio and lamellar count contributing the most. There were no significant differences between rosette structure or volume when comparing dissected values to in situ values obtained using diceCT. Based on our results, we hypothesize that variations in rosette shape and morphology will impact hydrodynamics and optimize odorant detection, and these data can be used to create 3D models for future hydrodynamic studies.
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Date Issued
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2020
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PURL
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http://purl.flvc.org/fau/fd/FA00013591
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Subject Headings
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Elasmobranchs, Olfactory sensors, Morphology
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Format
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Document (PDF)
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Title
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An active-vision-based method for autonomous navigation.
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Creator
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Ergen, Erkut Erhan., Florida Atlantic University, Raviv, Daniel
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Abstract/Description
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This research explores the existing active-vision-based algorithms employed in today's autonomous navigation systems. Some of the popular range finding algorithms are introduced and presented with examples. In light of the existing methods, an active-vision-based method, which extracts visual cues from a sequence of 2D images, is proposed for autonomous navigation. The proposed algorithm merges the method titled 'Visual Threat Cues (VTCs) for Autonomous Navigation' developed by Kundur (1),...
Show moreThis research explores the existing active-vision-based algorithms employed in today's autonomous navigation systems. Some of the popular range finding algorithms are introduced and presented with examples. In light of the existing methods, an active-vision-based method, which extracts visual cues from a sequence of 2D images, is proposed for autonomous navigation. The proposed algorithm merges the method titled 'Visual Threat Cues (VTCs) for Autonomous Navigation' developed by Kundur (1), with the structured-light-based methods. By combining these methods, a more practical and a simpler method for indoors autonomous navigation tasks is developed. A textured-pattern, which is projected onto the object surface by a slide projector, is used as the structured-light source, and the proposed approach is independent of the textured-pattern used. Several experiments are performed with the autonomous robot LOOMY to test the proposed algorithm, and the results are very promising.
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Date Issued
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1997
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PURL
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http://purl.flvc.org/fcla/dt/15425
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Subject Headings
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Autonomous robots, Automotive sensors
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Format
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Document (PDF)
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Title
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LOOMY: A platform for vision-based autonomous driving.
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Creator
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Kelly, Thomas Joseph., Florida Atlantic University, Raviv, Daniel, College of Engineering and Computer Science, Department of Computer and Electrical Engineering and Computer Science
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Abstract/Description
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This thesis describes the conceptualization, design and implementation of a low-cost vision-based autonomous vehicle named LOOMY. A golf cart has been ouffitted with a personal computer, a fixed foward-looking camera, and the necessary actuators to facilitate driving operations. Steering, braking, and speed control actuators are being driven in open-loop with no sort of local feedback. The only source of feedback to the system is through the image sequence obtained from the camera. The images...
Show moreThis thesis describes the conceptualization, design and implementation of a low-cost vision-based autonomous vehicle named LOOMY. A golf cart has been ouffitted with a personal computer, a fixed foward-looking camera, and the necessary actuators to facilitate driving operations. Steering, braking, and speed control actuators are being driven in open-loop with no sort of local feedback. The only source of feedback to the system is through the image sequence obtained from the camera. The images are processed and the relative information is extracted and applied to the navigation task. The implemented task is to follow another vehicle, tracing its actions while avoiding collisions using the visual looming cue.
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Date Issued
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1998
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PURL
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http://purl.flvc.org/fcla/dt/15610
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Subject Headings
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Automotive sensors, Autonomous robots
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Format
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Document (PDF)
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Title
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NOVEL KIRIGAMI-INSPIRED FLEXIBLE ROBOTIC EXTENSION FOR MOBILE PLATFORMS.
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Creator
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Den Ouden, Casey, Su, Tsung-Chow, Ouyang, Bing, Florida Atlantic University, Department of Ocean and Mechanical Engineering, College of Engineering and Computer Science
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Abstract/Description
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Since 2010, aquaculture practices have produced 70% of global seafood consumption. However, this fast-growing sector of agriculture has yet to see the adoption of advanced technologies to improve farm operations. The Hybrid Aerial Underwater robotiCs System (HAUCS) is an Internet of Things (IoT) framework that aims to bring transformative changes to pond aquaculture. This project focuses on the latest developments in the HAUCS mobile sensing platform and field deployment. A novel rigid...
Show moreSince 2010, aquaculture practices have produced 70% of global seafood consumption. However, this fast-growing sector of agriculture has yet to see the adoption of advanced technologies to improve farm operations. The Hybrid Aerial Underwater robotiCs System (HAUCS) is an Internet of Things (IoT) framework that aims to bring transformative changes to pond aquaculture. This project focuses on the latest developments in the HAUCS mobile sensing platform and field deployment. A novel rigid Kirigami-based robotic extension subsystem was created to expand the functionality of the HAUCS platform. The primary objective of this design was to limit the surface area of an extender arm on the drone during flight operations and minimize the in-flight drag. By utilizing a novel combination of shape memory polymer (SMP) and nitinol to extend and retrieve the sensing arm, the structure was able to conserve energy while operating under varying environmental conditions.
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Date Issued
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2023
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PURL
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http://purl.flvc.org/fau/fd/FA00014324
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Subject Headings
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Aquaculture, Sensors, Robotics
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Format
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Document (PDF)
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Title
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A NOVEL FRAMEWORK FOR ANALYSIS OF LOWER LIMB MOVEMENTS: INTEGRATION OF AUGMENTED REALITY AND SENSOR-BASED SYSTEMS.
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Creator
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Davis, Edward P., Pandya, Abhijit, Florida Atlantic University, Department of Computer and Electrical Engineering and Computer Science, College of Engineering and Computer Science
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Abstract/Description
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In this thesis, an augmented reality device was coupled with motion sensor units to function as a system of cooperative technologies for usage within exercise science and neurorehabilitation. Specifically, in a subfield of exercise science called biomechanics, the assessment and analysis of movements are critical to the evaluation and prescription of improvements for physical function in both daily and sport-specific activities. Furthermore, the systematic combination of these technologies...
Show moreIn this thesis, an augmented reality device was coupled with motion sensor units to function as a system of cooperative technologies for usage within exercise science and neurorehabilitation. Specifically, in a subfield of exercise science called biomechanics, the assessment and analysis of movements are critical to the evaluation and prescription of improvements for physical function in both daily and sport-specific activities. Furthermore, the systematic combination of these technologies provided potential end-users with a modality to perform exercise within, and correlated feedback based upon the end-user’s exercise performance. Data collection specific to biomechanics can provide both the end-user and their evaluators with critical feedback that can be used to modify movement efficiency, improve exercise capacity, and evaluate exercise performance. By coordinating both technologies and completing movement-based experiments, the systems were successfully integrated.
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Date Issued
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2022
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PURL
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http://purl.flvc.org/fau/fd/FA00013952
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Subject Headings
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Augmented reality, Biomechanics, Sensors
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Format
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Document (PDF)
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Title
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Distributed Algorithms for Energy-Efficient Data Gathering and Barrier Coverage in Wireless Sensor Networks.
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Creator
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Aranzazu-Suescun, Catalina, Cardei, Mihaela, Florida Atlantic University, College of Engineering and Computer Science, Department of Computer and Electrical Engineering and Computer Science
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Abstract/Description
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Wireless sensor networks (WSNs) provide rapid, untethered access to information, eliminating the barriers of distance, time, and location for many applications in national security, civilian search and rescue operations, surveillance, border monitoring, and many more. Sensor nodes are resource constraint in terms of power, bandwidth, memory, and computing capabilities. Sensor nodes are typically battery powered and depending on the application, it may be impractical or even impossible to...
Show moreWireless sensor networks (WSNs) provide rapid, untethered access to information, eliminating the barriers of distance, time, and location for many applications in national security, civilian search and rescue operations, surveillance, border monitoring, and many more. Sensor nodes are resource constraint in terms of power, bandwidth, memory, and computing capabilities. Sensor nodes are typically battery powered and depending on the application, it may be impractical or even impossible to recharge them. Thus, it is important to develop mechanisms for WSN which are energy efficient, in order to reduce the energy consumption in the network. Energy efficient algorithms result in an increased network lifetime. Data gathering is an important operation in WSNs, dealing with collecting sensed data or event reporting in a timely and efficient way. There are various scenarios that have to be carefully addressed. In this dissertation we propose energy efficient algorithms for data gathering. We propose a novel event-based clustering mechanism, and propose several efficient data gathering algorithms for mobile sink WSNs and for spatio-temporal events. Border surveillance is an important application of WSNs. Typical border surveillance applications aim to detect intruders attempting to enter or exit the border of a certain region. Deploying a set of sensor nodes on a region of interest where sensors form barriers for intruders is often referred to as the barrier coverage problem. In this dissertation we propose some novel mechanisms for increasing the percentage of events detected successfully. More specifically, we propose an adaptive sensor rotation mechanism, which allow sensors to decide their orientation angle adaptively, based on the location of the incoming events. In addition, we propose an Unmanned Aerial Vehicle UAV aided mechanism, where an UAV is used to cover gaps dynamically, resulting in an increased quality of the surveillance.
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Date Issued
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2019
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PURL
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http://purl.flvc.org/fau/fd/FA00013180
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Subject Headings
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Wireless sensor networks, Distributed algorithms, Wireless sensor nodes
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Format
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Document (PDF)
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Title
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ATTITUDE MEASURING SENSOR FOR A TOWED BODY.
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Creator
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Flitton, Garrett, Dhanak, Manhar, Florida Atlantic University, Department of Ocean and Mechanical Engineering, College of Engineering and Computer Science
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Abstract/Description
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The Design and Development of a remote attitude-measuring sensor package (RASP) for use onboard an underwater tow fish to analyze its dynamic movement while towing is described. The RASP will be used to determine the orientation, acceleration, and gyroscopic attitude of the tow fish. The collection of this data is important for understanding the trim of the tow fish under different towing conditions behind a manned surface vessel or unmanned underwater vehicle. The trim data acquired will...
Show moreThe Design and Development of a remote attitude-measuring sensor package (RASP) for use onboard an underwater tow fish to analyze its dynamic movement while towing is described. The RASP will be used to determine the orientation, acceleration, and gyroscopic attitude of the tow fish. The collection of this data is important for understanding the trim of the tow fish under different towing conditions behind a manned surface vessel or unmanned underwater vehicle. The trim data acquired will inform the extent to which post-processing of collected three-axis electromagnetic field data would be required. The RASP has been analyzed in the laboratory with a mechanical testing rig that was designed and built to validate the accuracy and performance of the entire sensor package system. The developed package will aid in the assessment of the performance of the tow fish in field operations with the sensor package implemented on the tow fish.
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Date Issued
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2024
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PURL
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http://purl.flvc.org/fau/fd/FA00014423
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Subject Headings
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Sensors, Marine towing, Electromagnetic fields
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Format
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Document (PDF)
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Title
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Web-based wireless sensor network monitoring using an android smartphone.
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Creator
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Marcus, Anthony M., Tavtilov, Timur, Cardei, Ionut E., Cardei, Mihaela, Graduate College
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Date Issued
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2011-04-08
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PURL
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http://purl.flvc.org/fcla/dt/3164625
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Subject Headings
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Sensor networks, Mobile computing, Droid (Smartphone)
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Format
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Document (PDF)
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Title
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Semi-Autonomous Control of Robotic Arm with Haptic Feedback and Closed Loop Force Controller.
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Creator
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Al-Saidi, Mostapha, Engeberg, Erik, Florida Atlantic University, Department of Ocean and Mechanical Engineering, College of Engineering and Computer Science
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Abstract/Description
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This thesis presents the work done to deliver a robotic system that provides assistance to operators at nuclear waste cleaning facilities. The work done to deliver such system was focused on robotic control and tactile sensing abilities. Haptic feedback mechanism was also added to the system to convey information for the operator. First chapter of the thesis introduces the goals and objectives of this project as well as a detailed literature review on the subsystems used. Second chapter...
Show moreThis thesis presents the work done to deliver a robotic system that provides assistance to operators at nuclear waste cleaning facilities. The work done to deliver such system was focused on robotic control and tactile sensing abilities. Haptic feedback mechanism was also added to the system to convey information for the operator. First chapter of the thesis introduces the goals and objectives of this project as well as a detailed literature review on the subsystems used. Second chapter presents previous work done in the area of soft robotics. Such work proved important as the haptic feedback mechanism utilizes a soft robotic armband. Third chapter introduces phase one of the main project. This chapter justifies the use of the selected robots and introduces the concept of adding tactile abilities to the robotic hand used. Chapter four introduces phase two of the project that focused on improving phase one system via a new tactile sensor.
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Date Issued
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2019
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PURL
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http://purl.flvc.org/fau/fd/FA00013353
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Subject Headings
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Robotics, Haptic devices, Actuators, Tactile sensors
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Format
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Document (PDF)
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Title
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Energy-efficient target coverage in heterogeneous wireless sensor networks.
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Creator
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Awada, Wael, Florida Atlantic University, Cardei, Mihaela
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Abstract/Description
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We consider a heterogeneous wireless sensor network, which has several supernodes for data relay and a large number of energy-constrained sensor nodes that are deployed randomly to cover certain targets. Since targets are covered by many sensors, we create several cover sets that are active successively to save power. We introduce the Heterogeneous Connected Set Covers (HCSC) which aims to find at least one cover set that covers all the targets and is connected to a data-relaying supernode. A...
Show moreWe consider a heterogeneous wireless sensor network, which has several supernodes for data relay and a large number of energy-constrained sensor nodes that are deployed randomly to cover certain targets. Since targets are covered by many sensors, we create several cover sets that are active successively to save power. We introduce the Heterogeneous Connected Set Covers (HCSC) which aims to find at least one cover set that covers all the targets and is connected to a data-relaying supernode. A sensor node can participate in different set covers but the sum of energy spent in all sets is constrained by the initial energy resources of that sensor node. This is the first solution proposed for the target coverage in heterogeneous wireless sensor networks. We show that the HCSC is an NP-Complete problem and propose three distributed algorithms for it and showing simulation results to verify the proposed approaches.
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Date Issued
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2006
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PURL
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http://purl.flvc.org/fcla/dt/13342
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Subject Headings
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Wireless communication systems, Sensor networks, Wireless LANs
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Format
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Document (PDF)
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Title
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Implementation of the Sensor-MAC protocol for the JiST/SWANS simulator.
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Creator
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Tippanagoudar, Veerendra., Florida Atlantic University, Mahgoub, Imad, College of Engineering and Computer Science, Department of Computer and Electrical Engineering and Computer Science
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Abstract/Description
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In recent years, advances in wireless technologies have enabled novel applications for wireless devices. Sensor network is one such application that consists of large number of battery-operated nodes. To simulate such networks with large number of nodes, a wireless sensor network simulator that is highly scalable is vital. JiST/SWANS is one such simulator that is highly scalable. However, the JiST/SWANS MAC layer implementation of 802.11b is not suitable for sensor networks, which are energy...
Show moreIn recent years, advances in wireless technologies have enabled novel applications for wireless devices. Sensor network is one such application that consists of large number of battery-operated nodes. To simulate such networks with large number of nodes, a wireless sensor network simulator that is highly scalable is vital. JiST/SWANS is one such simulator that is highly scalable. However, the JiST/SWANS MAC layer implementation of 802.11b is not suitable for sensor networks, which are energy-constrained. Hence, our main focus is to implement the S-MAC protocol in JiST/SWANS. The S-MAC protocol allows the nodes to go to sleep and thereby it helps conserve energy. This subsequently helps the nodes to extend their effective lifetime. We validate our S-MAC protocol implementation in the JiST/SWANS through simulations.
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Date Issued
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2006
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PURL
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http://purl.flvc.org/fcla/dt/13396
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Subject Headings
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Wireless communication systems, Sensor networks, Wireless LANs
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Format
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Document (PDF)
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Title
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Non-Invasive Measurement Methods for Transient Flows in Wind Tunnels.
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Creator
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Marcheggiani, Joseph P., Glegg, Stewart, Florida Atlantic University, Department of Ocean and Mechanical Engineering, College of Engineering and Computer Science
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Abstract/Description
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A non-invasive transient state measurement method for wind tunnels would be very valuable as an experimental tool. Traditional measurement techniques for transient flows, e.g., hot wire anemometry, require sensors that are placed in the flow. Alternatively, particle image velocimetry (PIV) may be used to measure transient flows non intrusively, but applying PIV requires sensors that are expensive, and it may take months to process the data. The non-invasive measurement techniques considered...
Show moreA non-invasive transient state measurement method for wind tunnels would be very valuable as an experimental tool. Traditional measurement techniques for transient flows, e.g., hot wire anemometry, require sensors that are placed in the flow. Alternatively, particle image velocimetry (PIV) may be used to measure transient flows non intrusively, but applying PIV requires sensors that are expensive, and it may take months to process the data. The non-invasive measurement techniques considered in this thesis utilize sensors that are imbedded into the wall of a wind tunnel, or the response of a Kevlar walled wind tunnel to obtain the pressure time histories of a transient flow. These measurements are suitable and accurate for analyzing steady state flows but the feasibility of using them on time varying flows has yet to be explored. If this method proves possible, it would be very beneficial even if it is less accurate than current invasive methods because it would give results in real time. This thesis investigates a simple transient flow of the startup vortex of an airfoil caused by a step change in angle of attack. Based on thin airfoil theory, two models of an airfoil were created. It was determined that the response of a Kevlar wall can measure the unsteady lift of an airfoil.
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Date Issued
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2021
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PURL
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http://purl.flvc.org/fau/fd/FA00013837
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Subject Headings
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Wind tunnels, Transient flow (Aerodynamics), Measurement, Sensors
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Format
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Document (PDF)
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Title
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Hummingbird: An UAV-aided Energy E cient Algorithm for Data Gathering in Wireless Sensor Networks.
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Creator
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Papa, Rafael, Cardei, Mihaela, Florida Atlantic University, College of Engineering and Computer Science, Department of Computer and Electrical Engineering and Computer Science
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Abstract/Description
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Energy e ciency is a critical constraint in wireless sensor networks. Wireless sensor networks (WSNs) consist of a large number of battery-powered sensor nodes, connected to each other and equipped with low-power transmission radios. Usually, the sensor nodes closer to the sink are more likely to become overloaded and subject to draining their battery faster than the nodes farther away, creating a funneling e ect. The use of a mobile device as a sink node to perform data gathering is a well...
Show moreEnergy e ciency is a critical constraint in wireless sensor networks. Wireless sensor networks (WSNs) consist of a large number of battery-powered sensor nodes, connected to each other and equipped with low-power transmission radios. Usually, the sensor nodes closer to the sink are more likely to become overloaded and subject to draining their battery faster than the nodes farther away, creating a funneling e ect. The use of a mobile device as a sink node to perform data gathering is a well known solution to balance the energy consumption in the entire network. To address this problem, in this work we consider the use of an UAV as a mobile sink. An unmanned aircraft vehicle (UAV) is an aircraft without a human pilot on-board, popularly known as a Drone. In this thesis, besides the use of the UAV as a mobile sink node, we propose an UAV-aided algorithm for data gathering in wireless sensor networks, called Humming- bird. Our distributed algorithm is energy-e cient. Rather than using an arbitrary path, the UAV implements an approximation algorithm to solve the well-known NP- Hard problem, the Traveling Salesman Problem (or TSP), to setup the trajectory of node points to visit for data gathering. In our approach, both the path planning and the data gathering are performed by the UAV, and this is seamlessly integrated with sensor data reporting. The results, using ns-3 network simulator show that our algorithm improves the network lifetime compared to regular (non-UAV) data gathering, especially for data intensive applications.
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Date Issued
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2018
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PURL
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http://purl.flvc.org/fau/fd/FA00013093
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Subject Headings
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Wireless sensor networks--Energy conservation., Wireless sensor nodes., Drone aircraft.
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Format
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Document (PDF)
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Title
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Home automation and power conservation using ZigBeeª.
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Creator
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DiBenedetto, Michael G., College of Engineering and Computer Science, Department of Computer and Electrical Engineering and Computer Science
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Abstract/Description
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The ZigBee standard is a wireless networking standard created and maintained by the ZigBee Alliance. The standard aims to provide an inexpensive, reliable, and efficient solution for wirelessly networked sensing and control products. The ZigBee Alliance is composed of over 300 member companies making use of the standard in different ways, ranging from energy management and efficiency, to RF remote controls, to health care products. Home automation is one market that greatly benefits from the...
Show moreThe ZigBee standard is a wireless networking standard created and maintained by the ZigBee Alliance. The standard aims to provide an inexpensive, reliable, and efficient solution for wirelessly networked sensing and control products. The ZigBee Alliance is composed of over 300 member companies making use of the standard in different ways, ranging from energy management and efficiency, to RF remote controls, to health care products. Home automation is one market that greatly benefits from the use of ZigBee. With a focus on conserving home electricity use, a sample design is created to test a home automation network using Freescale's ZigBee platform. Multiple electrical designs are tested utilizing sensors ranging from proximity sensors to current sense transformers. Software is fashioned as well, creating a PC application that interacts with two ZigBee transceiver boards performing different home automation functions such as air conditioner and automatic lighting control.
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Date Issued
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2009
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PURL
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http://purl.flvc.org/FAU/368609
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Subject Headings
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Sensor networks, Wireless LANs, Computer network architecture, Assistive computer technology
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Format
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Document (PDF)
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Title
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Design and implementation of an energy model for JiST/SWANS simulator.
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Creator
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Sutaria, Trishla., Florida Atlantic University, Mahgoub, Imad, College of Engineering and Computer Science, Department of Computer and Electrical Engineering and Computer Science
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Abstract/Description
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Wireless sensor networks are one of the first real world examples of pervasive computing, the notion that small, smart, and cheap sensing and computing devices will eventually permeate the environment. Sensor networks consist of very large number of energy constrained nodes and to properly evaluate these networks a scalable ad-hoc wireless network simulator with an energy model is needed. Since most of the existing simulators have been designed for ad-hoc network with low scalability they can...
Show moreWireless sensor networks are one of the first real world examples of pervasive computing, the notion that small, smart, and cheap sensing and computing devices will eventually permeate the environment. Sensor networks consist of very large number of energy constrained nodes and to properly evaluate these networks a scalable ad-hoc wireless network simulator with an energy model is needed. Since most of the existing simulators have been designed for ad-hoc network with low scalability they can not be used to accurately simulate sensor networks. The JiST/SWANS simulator is one of the newer simulators that has been developed by Cornell University for simulating ad-hoc networks and is highly scalable which makes it appropriate for use in evaluating sensor networks. Since this simulator lack energy model our objective is to design and implement an energy model for JiST/SWANS so that it can adequately and accurately calculate the amount of energy consumption in the simulation of sensor networks.
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Date Issued
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2005
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PURL
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http://purl.flvc.org/fcla/dt/13275
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Subject Headings
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Sensor networks, Wireless LANs, Computer network protocols, Wireless communication systems
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Format
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Document (PDF)
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Title
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A force sensor system for the real time measurement of thrust on an AUV.
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Creator
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Larroque-Lahitette, Gilles., Florida Atlantic University, Holappa, Kenneth W., College of Engineering and Computer Science, Department of Ocean and Mechanical Engineering
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Abstract/Description
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When a control system for an Autonomous Underwater Vehicle (AUV) requires thrust, it is common to apply a simplified model to estimate the force generated. Even though this model takes into account several parameters, it will never recover the real value. Our challenge is to directly measure the force, in real time, from the tunnel thrusters used in the positioning control of the Mini AUV known as Morpheus. Therefore, a force sensor system has been designed, optimized, machined and tested,...
Show moreWhen a control system for an Autonomous Underwater Vehicle (AUV) requires thrust, it is common to apply a simplified model to estimate the force generated. Even though this model takes into account several parameters, it will never recover the real value. Our challenge is to directly measure the force, in real time, from the tunnel thrusters used in the positioning control of the Mini AUV known as Morpheus. Therefore, a force sensor system has been designed, optimized, machined and tested, that supports the thruster assembly. The sensor implements strain gages to measure the deformation in a beam. To optimize the capabilities of the sensor, a finite elements analysis has been run. The sensor has been fabricated and tested to determine the static and dynamic characteristics. This thesis discusses the design implementation, optimization, fabrication and testing of the force sensor. The discussion begins with an overview of the problem, then explains the fabrication, optimization, testing and concludes with recommendation for future work.
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Date Issued
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2001
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PURL
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http://purl.flvc.org/fcla/dt/12745
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Subject Headings
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Oceanographic submersibles, Tactile sensors, Robots--Control systems
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Format
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Document (PDF)
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Title
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Low latency and energy efficient MAC protocols for wireless sensor networks.
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Creator
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Abu-El Humos, Ali M., Florida Atlantic University, Alhalabi, Bassem A., Cardei, Mihaela, College of Engineering and Computer Science, Department of Computer and Electrical Engineering and Computer Science
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Abstract/Description
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Energy consumption is a critical design issue in Wireless Sensor Networks (WSNs), since sensor nodes are battery operated, and replacing or recharging the battery is usually infeasible. Energy efficient solutions are sought at all network levels, especially at the medium access level. The IEEE 802.11 MAC protocol is optimized for Ad hoc Wireless Networks, but cannot be adopted for WSNs because it has the idle listening problem, which is a major source of energy waste. Several Medium Access...
Show moreEnergy consumption is a critical design issue in Wireless Sensor Networks (WSNs), since sensor nodes are battery operated, and replacing or recharging the battery is usually infeasible. Energy efficient solutions are sought at all network levels, especially at the medium access level. The IEEE 802.11 MAC protocol is optimized for Ad hoc Wireless Networks, but cannot be adopted for WSNs because it has the idle listening problem, which is a major source of energy waste. Several Medium Access Control (MAC) protocols have been proposed for WSNs to save the transceiver energy by introducing periodic listen/sleep cycles, and thus overcome the idle listing problem. The periodic listen sleep cycles, however, will increase the network latency and require extra overhead to establish and maintain synchronization among nodes in the network. This dissertation introduces a new MAC protocol for WSNs based on the SMAC protocol to improve its latency performance without compromising its energy consumption. The original SMAC provides an efficient solution for the energy consumption problem due to idle listening, but it increases latency especially in low duty cycle applications. TMAC was proposed to further reduce the energy consumption in SMAC and introduced the Forward Request-To-Send (FRTS) packet to solve the early sleep problem observed in TMAC. Later, Adaptive SMAC was proposed to reduce the latency problem in SMAC by at least 50% at light traffic load. Our new protocol, FASMAC, combines the advantages of both adaptive listening and the usage of FRTS packet in TMAC to further reduce the latency of SMAC. In FASMAC, a packet can travel at least three hops away from its source node within one time cycle. This results in at least 67% reduction in latency at light traffic when compared with the original SMAC. We also propose an energy model for performance evaluation of WSNs protocols using the network simulator NS2. The current energy model of NS2 was designed to handle Ad hoc Wireless Networks where the low power consumption sleep mode was not an issue. However, this is not the case in WSNs. We show that NS2 energy model is not suitable to evaluate the performance of WSNs protocols because it does not account for the low power sleep mode. This dissertation proposes a solution to this deficiency and provides simulation results that match real experimental results performed on the actual sensor motes.
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Date Issued
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2005
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PURL
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http://purl.flvc.org/fcla/dt/12149
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Subject Headings
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Wireless communication systems, Sensor networks, Power resources--Efficiency
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Format
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Document (PDF)
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Title
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Statistical bounds on handoff probabilities under different fading channel models of mobile communication.
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Creator
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Laupattarakasem, Pet., Florida Atlantic University, Neelakanta, Perambur S., College of Engineering and Computer Science, Department of Computer and Electrical Engineering and Computer Science
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Abstract/Description
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The research envisaged and reported in this thesis refers to finding comprehensive algorithms to determine the handoff probabilities of new and handoff calls encountered in mobile communications. The traditional expressions for these probabilities that are reported in the literature, are deduced only on the basis of call arrival statistics applied to RF links between base station (BS) and the mobile unit (MU). However, such radio links inevitably suffer from fading. These channels are...
Show moreThe research envisaged and reported in this thesis refers to finding comprehensive algorithms to determine the handoff probabilities of new and handoff calls encountered in mobile communications. The traditional expressions for these probabilities that are reported in the literature, are deduced only on the basis of call arrival statistics applied to RF links between base station (BS) and the mobile unit (MU). However, such radio links inevitably suffer from fading. These channels are normally modeled by appropriate probability density functions (pdfs) of the faded signal envelope. Rayleigh, Rician and Nakagami-m distributions are popularly considered in depicting such fading channel characteristics. The traditional (queueing-theoretic) based estimation of handoff probabilities does not account for the hysteresis-specific handoff statistics in the relevant fading channels. This is in contrary to the reality, inasmuch as fading is an inherent part of RF channels in mobile communications. The present study offers a tractable method of combining queuing-theoretic (call arrival) statistics and the hysteresis-crossing statistics of a RSS metric so as to obtain proper expressions for new and handoff call handoff probabilities. The (upper and lower) bound specified spread of the handoff probabilities indicates that care should be exercised in resource allocation efforts with a margin. To the best of the knowledge of the author, this research exercise is new and has not been reported elsewhere in open literature.
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Date Issued
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2003
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PURL
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http://purl.flvc.org/fcla/dt/13006
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Subject Headings
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Oceanographic submersibles, Tactile sensors, Robots--Control systems
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Format
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Document (PDF)
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Title
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A UNIFIED SOFT SENSING FRAMEWORK FOR COMPLEX DYNAMICAL SYSTEMS.
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Creator
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Huang, Yu, Tang, Yufei, Florida Atlantic University, Department of Computer and Electrical Engineering and Computer Science, College of Engineering and Computer Science
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Abstract/Description
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In the past few years, the development of complex dynamical networks or systems has stimulated great interest in the study of the principles and mechanisms underlying the Internet of things (IoT). IoT is envisioned as an intelligent network infrastructure with a vast number of ubiquitous smart devices present in diverse application domains and have already improved many aspects of daily life. Many overtly futuristic IoT applications acquire data gathered via distributed sensors that can be...
Show moreIn the past few years, the development of complex dynamical networks or systems has stimulated great interest in the study of the principles and mechanisms underlying the Internet of things (IoT). IoT is envisioned as an intelligent network infrastructure with a vast number of ubiquitous smart devices present in diverse application domains and have already improved many aspects of daily life. Many overtly futuristic IoT applications acquire data gathered via distributed sensors that can be uniquely identified, localized, and communicated with, i.e., the support of sensor networks. Soft-sensing models are in demand to support IoT applications to achieve the maximal exploitation of transforming the information of measurements into more useful knowledge, which plays essential roles in condition monitoring, quality prediction, smooth control, and many other essential aspects of complex dynamical systems. This in turn calls for innovative soft-sensing models that account for scalability, heterogeneity, adaptivity, and robustness to unpredictable uncertainties. The advent of big data, the advantages of ever-evolving deep learning (DL) techniques (where models use multiple layers to extract multi-levels of feature representations progressively), as well as ever-increasing processing power in hardware, has triggered a proliferation of research that applies DL to soft-sensing models. However, many critical questions need to be further investigated in the deep learning-based soft-sensing.
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Date Issued
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2022
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PURL
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http://purl.flvc.org/fau/fd/FA00013993
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Subject Headings
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Dynamical systems, Dynamics, Sensor networks, Deep learning (Machine learning)
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Format
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Document (PDF)
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Title
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ARTIFICIAL INTELLIGENCE (AI) ENABLES SENSORIMOTOR INTEGRATION FOR PROSTHETIC HAND DEXTERITY.
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Creator
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Abd, Moaed A., Engeberg, Erik D., Florida Atlantic University, Department of Ocean and Mechanical Engineering, College of Engineering and Computer Science
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Abstract/Description
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Hand amputation is a devastating feeling for amputees, and it is lifestyle changing since it is challenging to perform the basic life activities with amputation. Hand amputation means interrupting the closed loop between sensory feedback and motor control. The absence of sensory feedback requires a significant cognitive effort from the amputee to perform basic daily activities with prosthetic hand. Loss of tactile sensations is a major roadblock preventing amputees from multitasking or using...
Show moreHand amputation is a devastating feeling for amputees, and it is lifestyle changing since it is challenging to perform the basic life activities with amputation. Hand amputation means interrupting the closed loop between sensory feedback and motor control. The absence of sensory feedback requires a significant cognitive effort from the amputee to perform basic daily activities with prosthetic hand. Loss of tactile sensations is a major roadblock preventing amputees from multitasking or using the full dexterity of their prosthetic hands. One of the most significant features lacking from commercial prosthetic hands is sensory feedback, according to amputees. Many amputees abandoned their prosthetic devices due to the lack of tactile feedback. In the field of prosthetics, restoring sensory feedback is the most challenging task due to the complexity of integration between the prosthetic and the peripheral nervous system. A prosthetic hand with sensory feedback that imitates the intact hand would improve the lives of millions of amputees worldwide by inducing the prosthetic hand to be a part of the body image and significant impact the control of the prosthetic. To restore the sensory feedback and improve the dexterity for upper limb amputee, multiple components needed to be integrated together to provide the sensory feedback. Tactile sensors are the first components that needed to be integrated into the sensorimotor loop. In this research two tactile sensors were integrated in the sensory feedback loop. The first tactile sensor is BioTac which is a commercially available sensor. The first novel contribution with BioTac is the development of an ANN classifier to detect the direction a grasped object slips in a dexterous robotic hand in real time, and the second novel aspect of this study is the use of slip direction detection for adaptive robotic grasp reflexes. The second tactile sensor is the liquid metal sensor (LMS), this sensor was developed entirely in our lab (BioRobotics lab). The novel contribution for LMS is to detect and prevent slip in real time application, and to recognize different surface features and different sliding speeds.
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Date Issued
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2022
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PURL
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http://purl.flvc.org/fau/fd/FA00013875
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Subject Headings
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Artificial intelligence, Haptic devices, Tactile sensors, Sensorimotor integration, Artificial hands
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Format
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Document (PDF)
Pages