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You searched for +publisher:"University of Florida" +contributor:("Xia, Ye"). Showing records 1 – 30 of 35 total matches.

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University of Florida

1. Venkat Raj, Prithvi Raj. Palantir Crowdsourced Newsification on Twitter.

Degree: MS, Computer Engineering - Computer and Information Science and Engineering, 2012, University of Florida

 People today generate and consume several exabytes of content. A significant portion of this is on social media and microblogging sites like Twitter. The popularity… (more)

Subjects/Keywords: Crowdsourcing; Geodetic position; Mobile devices; News content; Online social networking; Recommendations; Social media; Synonyms; Wikipedia; World Wide Web; syndication  – twitter

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APA (6th Edition):

Venkat Raj, P. R. (2012). Palantir Crowdsourced Newsification on Twitter. (Masters Thesis). University of Florida. Retrieved from https://ufdc.ufl.edu/UFE0045118

Chicago Manual of Style (16th Edition):

Venkat Raj, Prithvi Raj. “Palantir Crowdsourced Newsification on Twitter.” 2012. Masters Thesis, University of Florida. Accessed May 10, 2021. https://ufdc.ufl.edu/UFE0045118.

MLA Handbook (7th Edition):

Venkat Raj, Prithvi Raj. “Palantir Crowdsourced Newsification on Twitter.” 2012. Web. 10 May 2021.

Vancouver:

Venkat Raj PR. Palantir Crowdsourced Newsification on Twitter. [Internet] [Masters thesis]. University of Florida; 2012. [cited 2021 May 10]. Available from: https://ufdc.ufl.edu/UFE0045118.

Council of Science Editors:

Venkat Raj PR. Palantir Crowdsourced Newsification on Twitter. [Masters Thesis]. University of Florida; 2012. Available from: https://ufdc.ufl.edu/UFE0045118


University of Florida

2. Eom, Heungsik. Extending the Capabilities of Mobile Platforms through Remote Offloading over Social Device Networks.

Degree: PhD, Electrical and Computer Engineering, 2014, University of Florida

 Mobile computing is becoming the preferred method of personal computing for millions of users. In order to meet the increasing demands of computationally-intensive applications, recent… (more)

Subjects/Keywords: Application programming interfaces; Bandwidth; Coordinate systems; Energy consumption; Learning; Machine learning; Mobile devices; Scheduling; Utility functions; Workloads; characterization  – mobile  – offloading  – scheduler  – vpn

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APA (6th Edition):

Eom, H. (2014). Extending the Capabilities of Mobile Platforms through Remote Offloading over Social Device Networks. (Doctoral Dissertation). University of Florida. Retrieved from https://ufdc.ufl.edu/UFE0047352

Chicago Manual of Style (16th Edition):

Eom, Heungsik. “Extending the Capabilities of Mobile Platforms through Remote Offloading over Social Device Networks.” 2014. Doctoral Dissertation, University of Florida. Accessed May 10, 2021. https://ufdc.ufl.edu/UFE0047352.

MLA Handbook (7th Edition):

Eom, Heungsik. “Extending the Capabilities of Mobile Platforms through Remote Offloading over Social Device Networks.” 2014. Web. 10 May 2021.

Vancouver:

Eom H. Extending the Capabilities of Mobile Platforms through Remote Offloading over Social Device Networks. [Internet] [Doctoral dissertation]. University of Florida; 2014. [cited 2021 May 10]. Available from: https://ufdc.ufl.edu/UFE0047352.

Council of Science Editors:

Eom H. Extending the Capabilities of Mobile Platforms through Remote Offloading over Social Device Networks. [Doctoral Dissertation]. University of Florida; 2014. Available from: https://ufdc.ufl.edu/UFE0047352


University of Florida

3. Boyaci, Cem. Complexity and Delay Characterization of Wireless Scheduling Algorithms.

Degree: PhD, Computer Engineering - Computer and Information Science and Engineering, 2012, University of Florida

 Recently, escalating number of wireless network users and popularity of  multimedia-driven applications give rise to an increasing demand  for high throughput and low delay that… (more)

Subjects/Keywords: Algorithms; Approximation; Computational complexity; Harmonic functions; Mathematical vectors; Optimal solutions; Polynomials; Scheduling; Sufficient conditions; Vertices; coloring  – delay  – graph  – networking  – scheduling  – throughput  – wireless

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APA (6th Edition):

Boyaci, C. (2012). Complexity and Delay Characterization of Wireless Scheduling Algorithms. (Doctoral Dissertation). University of Florida. Retrieved from https://ufdc.ufl.edu/UFE0044112

Chicago Manual of Style (16th Edition):

Boyaci, Cem. “Complexity and Delay Characterization of Wireless Scheduling Algorithms.” 2012. Doctoral Dissertation, University of Florida. Accessed May 10, 2021. https://ufdc.ufl.edu/UFE0044112.

MLA Handbook (7th Edition):

Boyaci, Cem. “Complexity and Delay Characterization of Wireless Scheduling Algorithms.” 2012. Web. 10 May 2021.

Vancouver:

Boyaci C. Complexity and Delay Characterization of Wireless Scheduling Algorithms. [Internet] [Doctoral dissertation]. University of Florida; 2012. [cited 2021 May 10]. Available from: https://ufdc.ufl.edu/UFE0044112.

Council of Science Editors:

Boyaci C. Complexity and Delay Characterization of Wireless Scheduling Algorithms. [Doctoral Dissertation]. University of Florida; 2012. Available from: https://ufdc.ufl.edu/UFE0044112


University of Florida

4. Zhou, Yian. Privacy-Preserving Transportation Traffic Measurement in Intelligent Cyber-Physical Road Systems.

Degree: PhD, Computer Engineering - Computer and Information Science and Engineering, 2015, University of Florida

 Traffic volume measurement is critical in transportation engineering and vehicular networks. Existing research on traffic volume measurement mainly focuses on single-point traffic statistics. In this… (more)

Subjects/Keywords: Bitmapped images; Estimators; Motor vehicle traffic; Simulations; Traffic estimation; Traffic flow; Traffic measurement; Traffic volume; Transportation; Vehicles; measurement  – privacy  – traffic  – vehicle

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APA (6th Edition):

Zhou, Y. (2015). Privacy-Preserving Transportation Traffic Measurement in Intelligent Cyber-Physical Road Systems. (Doctoral Dissertation). University of Florida. Retrieved from https://ufdc.ufl.edu/UFE0049549

Chicago Manual of Style (16th Edition):

Zhou, Yian. “Privacy-Preserving Transportation Traffic Measurement in Intelligent Cyber-Physical Road Systems.” 2015. Doctoral Dissertation, University of Florida. Accessed May 10, 2021. https://ufdc.ufl.edu/UFE0049549.

MLA Handbook (7th Edition):

Zhou, Yian. “Privacy-Preserving Transportation Traffic Measurement in Intelligent Cyber-Physical Road Systems.” 2015. Web. 10 May 2021.

Vancouver:

Zhou Y. Privacy-Preserving Transportation Traffic Measurement in Intelligent Cyber-Physical Road Systems. [Internet] [Doctoral dissertation]. University of Florida; 2015. [cited 2021 May 10]. Available from: https://ufdc.ufl.edu/UFE0049549.

Council of Science Editors:

Zhou Y. Privacy-Preserving Transportation Traffic Measurement in Intelligent Cyber-Physical Road Systems. [Doctoral Dissertation]. University of Florida; 2015. Available from: https://ufdc.ufl.edu/UFE0049549


University of Florida

5. Liu, Yonggang. Interposition-Based I/O Scheduling in Virtualized Parallel File Systems.

Degree: PhD, Electrical and Computer Engineering, 2014, University of Florida

 In modern High Performance Computing centers, Parallel File Systems (PFSs) have gained increasing popularity due to their high I/O performance and scalability. With service consolidation,… (more)

Subjects/Keywords: Algorithms; Bandwidth; Deadlines; Input output; Metadata; Scheduling; Service time; Simulations; Stripes; Workloads; parallel-file-system  – quality-of-service  – scheduling  – simulation  – utilization  – virtualization

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APA (6th Edition):

Liu, Y. (2014). Interposition-Based I/O Scheduling in Virtualized Parallel File Systems. (Doctoral Dissertation). University of Florida. Retrieved from https://ufdc.ufl.edu/UFE0047413

Chicago Manual of Style (16th Edition):

Liu, Yonggang. “Interposition-Based I/O Scheduling in Virtualized Parallel File Systems.” 2014. Doctoral Dissertation, University of Florida. Accessed May 10, 2021. https://ufdc.ufl.edu/UFE0047413.

MLA Handbook (7th Edition):

Liu, Yonggang. “Interposition-Based I/O Scheduling in Virtualized Parallel File Systems.” 2014. Web. 10 May 2021.

Vancouver:

Liu Y. Interposition-Based I/O Scheduling in Virtualized Parallel File Systems. [Internet] [Doctoral dissertation]. University of Florida; 2014. [cited 2021 May 10]. Available from: https://ufdc.ufl.edu/UFE0047413.

Council of Science Editors:

Liu Y. Interposition-Based I/O Scheduling in Virtualized Parallel File Systems. [Doctoral Dissertation]. University of Florida; 2014. Available from: https://ufdc.ufl.edu/UFE0047413


University of Florida

6. Mafusalov, Aleksandr. Risk Management Approaches in Distribution Approximation, Regression, and Classification.

Degree: PhD, Industrial and Systems Engineering, 2017, University of Florida

 One chapter of this study targets regression as a potential application. The concept of Conditional Value-at-Risk (CVaR) is used in various applications in uncertain environment.… (more)

Subjects/Keywords: buffered-probability-of-exceedance  – conditional-value-at-risk  – cvar-norm  – density-estimation  – regression  – risk-quadrangle  – superquantile

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APA (6th Edition):

Mafusalov, A. (2017). Risk Management Approaches in Distribution Approximation, Regression, and Classification. (Doctoral Dissertation). University of Florida. Retrieved from https://ufdc.ufl.edu/UFE0050903

Chicago Manual of Style (16th Edition):

Mafusalov, Aleksandr. “Risk Management Approaches in Distribution Approximation, Regression, and Classification.” 2017. Doctoral Dissertation, University of Florida. Accessed May 10, 2021. https://ufdc.ufl.edu/UFE0050903.

MLA Handbook (7th Edition):

Mafusalov, Aleksandr. “Risk Management Approaches in Distribution Approximation, Regression, and Classification.” 2017. Web. 10 May 2021.

Vancouver:

Mafusalov A. Risk Management Approaches in Distribution Approximation, Regression, and Classification. [Internet] [Doctoral dissertation]. University of Florida; 2017. [cited 2021 May 10]. Available from: https://ufdc.ufl.edu/UFE0050903.

Council of Science Editors:

Mafusalov A. Risk Management Approaches in Distribution Approximation, Regression, and Classification. [Doctoral Dissertation]. University of Florida; 2017. Available from: https://ufdc.ufl.edu/UFE0050903


University of Florida

7. Zhou, You. Highly Efficient Data Structures and Probabilistic Measurement Methods on Big Network Data.

Degree: PhD, Computer Science - Computer and Information Science and Engineering, 2017, University of Florida

 There is hardly any other data set whose size can rival the big network data that flows on the Internet. Massive and distributed data are… (more)

Subjects/Keywords: big-network-data  – compact-data-structures  – probabilistic-measurement-methods  – security  – traffic-measurement

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APA (6th Edition):

Zhou, Y. (2017). Highly Efficient Data Structures and Probabilistic Measurement Methods on Big Network Data. (Doctoral Dissertation). University of Florida. Retrieved from https://ufdc.ufl.edu/UFE0051710

Chicago Manual of Style (16th Edition):

Zhou, You. “Highly Efficient Data Structures and Probabilistic Measurement Methods on Big Network Data.” 2017. Doctoral Dissertation, University of Florida. Accessed May 10, 2021. https://ufdc.ufl.edu/UFE0051710.

MLA Handbook (7th Edition):

Zhou, You. “Highly Efficient Data Structures and Probabilistic Measurement Methods on Big Network Data.” 2017. Web. 10 May 2021.

Vancouver:

Zhou Y. Highly Efficient Data Structures and Probabilistic Measurement Methods on Big Network Data. [Internet] [Doctoral dissertation]. University of Florida; 2017. [cited 2021 May 10]. Available from: https://ufdc.ufl.edu/UFE0051710.

Council of Science Editors:

Zhou Y. Highly Efficient Data Structures and Probabilistic Measurement Methods on Big Network Data. [Doctoral Dissertation]. University of Florida; 2017. Available from: https://ufdc.ufl.edu/UFE0051710


University of Florida

8. Li, Bo. Performance of Greedy Scheduling Algorithm in Wireless Networks.

Degree: PhD, Computer Engineering - Computer and Information Science and Engineering, 2012, University of Florida

 One of the major challenges in wireless networking is how to optimize the link scheduling decisions under interference constraints. Recently, a few algorithms have been… (more)

Subjects/Keywords: Algorithms; Graph theory; Linear programming; Mathematical vectors; Matrices; Optimal solutions; Regional identity; Scheduling; Topology; Underestimates; channel-fading  – interference  – local-pooling  – longest-queue-first  – stability  – wireless-network-scheduling

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APA (6th Edition):

Li, B. (2012). Performance of Greedy Scheduling Algorithm in Wireless Networks. (Doctoral Dissertation). University of Florida. Retrieved from https://ufdc.ufl.edu/UFE0044095

Chicago Manual of Style (16th Edition):

Li, Bo. “Performance of Greedy Scheduling Algorithm in Wireless Networks.” 2012. Doctoral Dissertation, University of Florida. Accessed May 10, 2021. https://ufdc.ufl.edu/UFE0044095.

MLA Handbook (7th Edition):

Li, Bo. “Performance of Greedy Scheduling Algorithm in Wireless Networks.” 2012. Web. 10 May 2021.

Vancouver:

Li B. Performance of Greedy Scheduling Algorithm in Wireless Networks. [Internet] [Doctoral dissertation]. University of Florida; 2012. [cited 2021 May 10]. Available from: https://ufdc.ufl.edu/UFE0044095.

Council of Science Editors:

Li B. Performance of Greedy Scheduling Algorithm in Wireless Networks. [Doctoral Dissertation]. University of Florida; 2012. Available from: https://ufdc.ufl.edu/UFE0044095


University of Florida

9. Gabr, Haitham Mohammad. Modeling and Characterization of Probabilistic Biological Networks.

Degree: PhD, Computer Engineering - Computer and Information Science and Engineering, 2015, University of Florida

 Studying biological networks has gathered an overwhelming interest in recent literature. Different molecules are modeled as network vertices and their interactions as network edges. Most… (more)

Subjects/Keywords: Apoptosis; Bioinformatics; Datasets; Leukemia; Polynomials; Receptors; Sampling rates; Separators; Signals; Topology; networks  – probabilistic  – reachability

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APA (6th Edition):

Gabr, H. M. (2015). Modeling and Characterization of Probabilistic Biological Networks. (Doctoral Dissertation). University of Florida. Retrieved from https://ufdc.ufl.edu/UFE0048991

Chicago Manual of Style (16th Edition):

Gabr, Haitham Mohammad. “Modeling and Characterization of Probabilistic Biological Networks.” 2015. Doctoral Dissertation, University of Florida. Accessed May 10, 2021. https://ufdc.ufl.edu/UFE0048991.

MLA Handbook (7th Edition):

Gabr, Haitham Mohammad. “Modeling and Characterization of Probabilistic Biological Networks.” 2015. Web. 10 May 2021.

Vancouver:

Gabr HM. Modeling and Characterization of Probabilistic Biological Networks. [Internet] [Doctoral dissertation]. University of Florida; 2015. [cited 2021 May 10]. Available from: https://ufdc.ufl.edu/UFE0048991.

Council of Science Editors:

Gabr HM. Modeling and Characterization of Probabilistic Biological Networks. [Doctoral Dissertation]. University of Florida; 2015. Available from: https://ufdc.ufl.edu/UFE0048991


University of Florida

10. Banerjee Mishra, Tania. TCAM-Based Low Power Routers and Packet Classifiers.

Degree: PhD, Computer Engineering - Computer and Information Science and Engineering, 2012, University of Florida

 Ternary Content Addressable Memory (TCAM) is a hardware device which can support high-speed table lookups and is an attractive solution for applications such as packet… (more)

Subjects/Keywords: Algorithms; Carving; Datasets; Descendants; Duets; Heuristics; Leaves; Mathematical sequences; Power efficiency; Vertices; duo  – low-power  – packet-classification  – packet-forwarding  – pc-duos  – pc-trio  – petcam  – router-architecture  – tcam  – updates

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APA (6th Edition):

Banerjee Mishra, T. (2012). TCAM-Based Low Power Routers and Packet Classifiers. (Doctoral Dissertation). University of Florida. Retrieved from https://ufdc.ufl.edu/UFE0043973

Chicago Manual of Style (16th Edition):

Banerjee Mishra, Tania. “TCAM-Based Low Power Routers and Packet Classifiers.” 2012. Doctoral Dissertation, University of Florida. Accessed May 10, 2021. https://ufdc.ufl.edu/UFE0043973.

MLA Handbook (7th Edition):

Banerjee Mishra, Tania. “TCAM-Based Low Power Routers and Packet Classifiers.” 2012. Web. 10 May 2021.

Vancouver:

Banerjee Mishra T. TCAM-Based Low Power Routers and Packet Classifiers. [Internet] [Doctoral dissertation]. University of Florida; 2012. [cited 2021 May 10]. Available from: https://ufdc.ufl.edu/UFE0043973.

Council of Science Editors:

Banerjee Mishra T. TCAM-Based Low Power Routers and Packet Classifiers. [Doctoral Dissertation]. University of Florida; 2012. Available from: https://ufdc.ufl.edu/UFE0043973


University of Florida

11. Kang, Tae Seung. Learning Feedforward and Recurrent Deterministic Spiking Neuron Network Feedback Controllers.

Degree: PhD, Computer Science - Computer and Information Science and Engineering, 2017, University of Florida

 We consider the problem of feedback control when the controller is constructed solely of deterministic spiking neurons. Although spiking neurons and networks have been the… (more)

Subjects/Keywords: control  – neuron  – spiking

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APA (6th Edition):

Kang, T. S. (2017). Learning Feedforward and Recurrent Deterministic Spiking Neuron Network Feedback Controllers. (Doctoral Dissertation). University of Florida. Retrieved from https://ufdc.ufl.edu/UFE0050151

Chicago Manual of Style (16th Edition):

Kang, Tae Seung. “Learning Feedforward and Recurrent Deterministic Spiking Neuron Network Feedback Controllers.” 2017. Doctoral Dissertation, University of Florida. Accessed May 10, 2021. https://ufdc.ufl.edu/UFE0050151.

MLA Handbook (7th Edition):

Kang, Tae Seung. “Learning Feedforward and Recurrent Deterministic Spiking Neuron Network Feedback Controllers.” 2017. Web. 10 May 2021.

Vancouver:

Kang TS. Learning Feedforward and Recurrent Deterministic Spiking Neuron Network Feedback Controllers. [Internet] [Doctoral dissertation]. University of Florida; 2017. [cited 2021 May 10]. Available from: https://ufdc.ufl.edu/UFE0050151.

Council of Science Editors:

Kang TS. Learning Feedforward and Recurrent Deterministic Spiking Neuron Network Feedback Controllers. [Doctoral Dissertation]. University of Florida; 2017. Available from: https://ufdc.ufl.edu/UFE0050151


University of Florida

12. Ren, Yuanfang. Algorithms to Construct and Explore the Biological Networks with Uncertainty.

Degree: PhD, Computer Engineering - Computer and Information Science and Engineering, 2018, University of Florida

 Biological networks describe how different molecules interact with each other to carry out key functions. Studying biological networks provides deep insights into molecular biology. Constructing… (more)

Subjects/Keywords: gene  – motif  – networks

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APA (6th Edition):

Ren, Y. (2018). Algorithms to Construct and Explore the Biological Networks with Uncertainty. (Doctoral Dissertation). University of Florida. Retrieved from https://ufdc.ufl.edu/UFE0053993

Chicago Manual of Style (16th Edition):

Ren, Yuanfang. “Algorithms to Construct and Explore the Biological Networks with Uncertainty.” 2018. Doctoral Dissertation, University of Florida. Accessed May 10, 2021. https://ufdc.ufl.edu/UFE0053993.

MLA Handbook (7th Edition):

Ren, Yuanfang. “Algorithms to Construct and Explore the Biological Networks with Uncertainty.” 2018. Web. 10 May 2021.

Vancouver:

Ren Y. Algorithms to Construct and Explore the Biological Networks with Uncertainty. [Internet] [Doctoral dissertation]. University of Florida; 2018. [cited 2021 May 10]. Available from: https://ufdc.ufl.edu/UFE0053993.

Council of Science Editors:

Ren Y. Algorithms to Construct and Explore the Biological Networks with Uncertainty. [Doctoral Dissertation]. University of Florida; 2018. Available from: https://ufdc.ufl.edu/UFE0053993


University of Florida

13. Wang, Zhe. Thermal-aware Task Scheduling on Multicore Processors.

Degree: PhD, Computer Engineering - Computer and Information Science and Engineering, 2012, University of Florida

 Power and heat density of multicore processor are increasing exponentially with Moore's Law. High temperature negatively affects reliability and the cost of cooling and packaging.… (more)

Subjects/Keywords: Accident prone locations; Algorithms; Ambient temperature; Deadlines; Electric potential; Energy consumption; Heuristics; Matrices; Scheduling; Workloads; dvfs  – management  – multicore  – partitioning  – processor  – scheduling  – task  – thermal

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APA (6th Edition):

Wang, Z. (2012). Thermal-aware Task Scheduling on Multicore Processors. (Doctoral Dissertation). University of Florida. Retrieved from https://ufdc.ufl.edu/UFE0044648

Chicago Manual of Style (16th Edition):

Wang, Zhe. “Thermal-aware Task Scheduling on Multicore Processors.” 2012. Doctoral Dissertation, University of Florida. Accessed May 10, 2021. https://ufdc.ufl.edu/UFE0044648.

MLA Handbook (7th Edition):

Wang, Zhe. “Thermal-aware Task Scheduling on Multicore Processors.” 2012. Web. 10 May 2021.

Vancouver:

Wang Z. Thermal-aware Task Scheduling on Multicore Processors. [Internet] [Doctoral dissertation]. University of Florida; 2012. [cited 2021 May 10]. Available from: https://ufdc.ufl.edu/UFE0044648.

Council of Science Editors:

Wang Z. Thermal-aware Task Scheduling on Multicore Processors. [Doctoral Dissertation]. University of Florida; 2012. Available from: https://ufdc.ufl.edu/UFE0044648


University of Florida

14. Behdani, Behnam. Discrete and Geometric Approaches to Lifetime Maximization in Wireless Sensor Networks.

Degree: PhD, Industrial and Systems Engineering, 2012, University of Florida

 We address several problems related to the efficient use of energy resources in wireless sensor networks (WSNs). We first consider the problem of maximizing the… (more)

Subjects/Keywords: Algorithms; Line segments; Linear programming; Objective functions; Optimal solutions; Sensors; Tours; Trajectories; Travel; Traveling salesman problem; lifetime  – networks  – optimization  – sensor  – tsp  – wireless

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APA (6th Edition):

Behdani, B. (2012). Discrete and Geometric Approaches to Lifetime Maximization in Wireless Sensor Networks. (Doctoral Dissertation). University of Florida. Retrieved from https://ufdc.ufl.edu/UFE0043321

Chicago Manual of Style (16th Edition):

Behdani, Behnam. “Discrete and Geometric Approaches to Lifetime Maximization in Wireless Sensor Networks.” 2012. Doctoral Dissertation, University of Florida. Accessed May 10, 2021. https://ufdc.ufl.edu/UFE0043321.

MLA Handbook (7th Edition):

Behdani, Behnam. “Discrete and Geometric Approaches to Lifetime Maximization in Wireless Sensor Networks.” 2012. Web. 10 May 2021.

Vancouver:

Behdani B. Discrete and Geometric Approaches to Lifetime Maximization in Wireless Sensor Networks. [Internet] [Doctoral dissertation]. University of Florida; 2012. [cited 2021 May 10]. Available from: https://ufdc.ufl.edu/UFE0043321.

Council of Science Editors:

Behdani B. Discrete and Geometric Approaches to Lifetime Maximization in Wireless Sensor Networks. [Doctoral Dissertation]. University of Florida; 2012. Available from: https://ufdc.ufl.edu/UFE0043321


University of Florida

15. Chuchaisri, Panoat. Improved Elliptic Curve Cryptography-Based Broadcast Authentication in Wireless Sensor Networks.

Degree: PhD, Computer Engineering - Computer and Information Science and Engineering, 2012, University of Florida

 Public Key-based (PKC) approaches have gained popularity in Wireless Sensor Network (WSN) broadcast authentication due to their simpler protocol operations and higher tolerance to node… (more)

Subjects/Keywords: Authentication; Broadcasting industry; Computer science; Cryptography; Digital signatures; Key signatures; News content; Scalar multiplication; Sensors; Transmitters; cryptography  – ecc  – wsn

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APA (6th Edition):

Chuchaisri, P. (2012). Improved Elliptic Curve Cryptography-Based Broadcast Authentication in Wireless Sensor Networks. (Doctoral Dissertation). University of Florida. Retrieved from https://ufdc.ufl.edu/UFE0044094

Chicago Manual of Style (16th Edition):

Chuchaisri, Panoat. “Improved Elliptic Curve Cryptography-Based Broadcast Authentication in Wireless Sensor Networks.” 2012. Doctoral Dissertation, University of Florida. Accessed May 10, 2021. https://ufdc.ufl.edu/UFE0044094.

MLA Handbook (7th Edition):

Chuchaisri, Panoat. “Improved Elliptic Curve Cryptography-Based Broadcast Authentication in Wireless Sensor Networks.” 2012. Web. 10 May 2021.

Vancouver:

Chuchaisri P. Improved Elliptic Curve Cryptography-Based Broadcast Authentication in Wireless Sensor Networks. [Internet] [Doctoral dissertation]. University of Florida; 2012. [cited 2021 May 10]. Available from: https://ufdc.ufl.edu/UFE0044094.

Council of Science Editors:

Chuchaisri P. Improved Elliptic Curve Cryptography-Based Broadcast Authentication in Wireless Sensor Networks. [Doctoral Dissertation]. University of Florida; 2012. Available from: https://ufdc.ufl.edu/UFE0044094

16. Chen, Min. Improving Efficiency, Security and Privacy of the Internet of Things - from RFID to Networked Tags.

Degree: PhD, Computer Science - Computer and Information Science and Engineering, 2016, University of Florida

 The Internet of Things (IoT) is a new networking paradigm for cyber-physical systems that allow physical objects to collect and exchange data. Generally, every physical… (more)

Subjects/Keywords: Authentication; Bitmapped images; Broadcasting industry; Ciphers; Cryptography; False positive errors; Radio frequency identification; Randomness; Signals; Simulations; efficiency  – iot  – privacy  – rfid  – security

…133 11 Abstract of Dissertation Presented to the Graduate School of the University of… …Florida in Partial Fulfillment of the Requirements for the Degree of Doctor of Philosophy… 

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APA (6th Edition):

Chen, M. (2016). Improving Efficiency, Security and Privacy of the Internet of Things - from RFID to Networked Tags. (Doctoral Dissertation). University of Florida. Retrieved from https://ufdc.ufl.edu/UFE0049786

Chicago Manual of Style (16th Edition):

Chen, Min. “Improving Efficiency, Security and Privacy of the Internet of Things - from RFID to Networked Tags.” 2016. Doctoral Dissertation, University of Florida. Accessed May 10, 2021. https://ufdc.ufl.edu/UFE0049786.

MLA Handbook (7th Edition):

Chen, Min. “Improving Efficiency, Security and Privacy of the Internet of Things - from RFID to Networked Tags.” 2016. Web. 10 May 2021.

Vancouver:

Chen M. Improving Efficiency, Security and Privacy of the Internet of Things - from RFID to Networked Tags. [Internet] [Doctoral dissertation]. University of Florida; 2016. [cited 2021 May 10]. Available from: https://ufdc.ufl.edu/UFE0049786.

Council of Science Editors:

Chen M. Improving Efficiency, Security and Privacy of the Internet of Things - from RFID to Networked Tags. [Doctoral Dissertation]. University of Florida; 2016. Available from: https://ufdc.ufl.edu/UFE0049786

17. Wang, Yi. Scheduling Algorithms and Optimization for Wireless Network and Cloud Computing.

Degree: PhD, Computer Science - Computer and Information Science and Engineering, 2016, University of Florida

 Scheduling for shared resources is of great importance for both the resource provider and the clients. An efficient scheduling algorithm can help increase resource utilization,… (more)

Subjects/Keywords: Algorithms; Customers; Heuristics; Ising model; Markov chains; Scalability; Scheduling; Simulations; Transmitters; Vertices; algorithms  – cloud  – network  – optimization  – scheduling  – wireless

…Abstract of Dissertation Presented to the Graduate School of the University of Florida in Partial… 

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APA (6th Edition):

Wang, Y. (2016). Scheduling Algorithms and Optimization for Wireless Network and Cloud Computing. (Doctoral Dissertation). University of Florida. Retrieved from https://ufdc.ufl.edu/UFE0049852

Chicago Manual of Style (16th Edition):

Wang, Yi. “Scheduling Algorithms and Optimization for Wireless Network and Cloud Computing.” 2016. Doctoral Dissertation, University of Florida. Accessed May 10, 2021. https://ufdc.ufl.edu/UFE0049852.

MLA Handbook (7th Edition):

Wang, Yi. “Scheduling Algorithms and Optimization for Wireless Network and Cloud Computing.” 2016. Web. 10 May 2021.

Vancouver:

Wang Y. Scheduling Algorithms and Optimization for Wireless Network and Cloud Computing. [Internet] [Doctoral dissertation]. University of Florida; 2016. [cited 2021 May 10]. Available from: https://ufdc.ufl.edu/UFE0049852.

Council of Science Editors:

Wang Y. Scheduling Algorithms and Optimization for Wireless Network and Cloud Computing. [Doctoral Dissertation]. University of Florida; 2016. Available from: https://ufdc.ufl.edu/UFE0049852


University of Florida

18. Tiwari, Rashmi. Virtual Fm-Sketch for Per-Flow Traffic Measurement.

Degree: MS, Computer Science - Computer and Information Science and Engineering, 2017, University of Florida

Subjects/Keywords: hll; pmc

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APA (6th Edition):

Tiwari, R. (2017). Virtual Fm-Sketch for Per-Flow Traffic Measurement. (Masters Thesis). University of Florida. Retrieved from https://ufdc.ufl.edu/UFE0051194

Chicago Manual of Style (16th Edition):

Tiwari, Rashmi. “Virtual Fm-Sketch for Per-Flow Traffic Measurement.” 2017. Masters Thesis, University of Florida. Accessed May 10, 2021. https://ufdc.ufl.edu/UFE0051194.

MLA Handbook (7th Edition):

Tiwari, Rashmi. “Virtual Fm-Sketch for Per-Flow Traffic Measurement.” 2017. Web. 10 May 2021.

Vancouver:

Tiwari R. Virtual Fm-Sketch for Per-Flow Traffic Measurement. [Internet] [Masters thesis]. University of Florida; 2017. [cited 2021 May 10]. Available from: https://ufdc.ufl.edu/UFE0051194.

Council of Science Editors:

Tiwari R. Virtual Fm-Sketch for Per-Flow Traffic Measurement. [Masters Thesis]. University of Florida; 2017. Available from: https://ufdc.ufl.edu/UFE0051194


University of Florida

19. Zhang, Ning. Trade-off Scheme for Fault Tolerant Connected Dominating Sets on Size and Diameter in Wireless Ad-hoc Networks.

Degree: MS, Computer Engineering - Computer and Information Science and Engineering, 2008, University of Florida

 Connected Dominating Set (CDS) has been a well known approach for constructing a virtual backbone to alleviate the broadcasting storm in Wireless Ad-hoc Network. Current… (more)

Subjects/Keywords: Algorithms; Approximation; Broadcasting; Diameters; Fault tolerance; Mobile devices; Modeling; Plant roots; Simulations; Tradeoffs

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APA (6th Edition):

Zhang, N. (2008). Trade-off Scheme for Fault Tolerant Connected Dominating Sets on Size and Diameter in Wireless Ad-hoc Networks. (Masters Thesis). University of Florida. Retrieved from https://ufdc.ufl.edu/UFE0022554

Chicago Manual of Style (16th Edition):

Zhang, Ning. “Trade-off Scheme for Fault Tolerant Connected Dominating Sets on Size and Diameter in Wireless Ad-hoc Networks.” 2008. Masters Thesis, University of Florida. Accessed May 10, 2021. https://ufdc.ufl.edu/UFE0022554.

MLA Handbook (7th Edition):

Zhang, Ning. “Trade-off Scheme for Fault Tolerant Connected Dominating Sets on Size and Diameter in Wireless Ad-hoc Networks.” 2008. Web. 10 May 2021.

Vancouver:

Zhang N. Trade-off Scheme for Fault Tolerant Connected Dominating Sets on Size and Diameter in Wireless Ad-hoc Networks. [Internet] [Masters thesis]. University of Florida; 2008. [cited 2021 May 10]. Available from: https://ufdc.ufl.edu/UFE0022554.

Council of Science Editors:

Zhang N. Trade-off Scheme for Fault Tolerant Connected Dominating Sets on Size and Diameter in Wireless Ad-hoc Networks. [Masters Thesis]. University of Florida; 2008. Available from: https://ufdc.ufl.edu/UFE0022554


University of Florida

20. Chandran, Manu. Application of Machine Learning Techniques in Point Cloud Generation and Point Cloud Object Classification.

Degree: PhD, Electrical and Computer Engineering, 2019, University of Florida

Subjects/Keywords: 3d; data; learning; light; orange; sensor; stuctured; vision

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APA (6th Edition):

Chandran, M. (2019). Application of Machine Learning Techniques in Point Cloud Generation and Point Cloud Object Classification. (Doctoral Dissertation). University of Florida. Retrieved from https://ufdc.ufl.edu/UFE0052725

Chicago Manual of Style (16th Edition):

Chandran, Manu. “Application of Machine Learning Techniques in Point Cloud Generation and Point Cloud Object Classification.” 2019. Doctoral Dissertation, University of Florida. Accessed May 10, 2021. https://ufdc.ufl.edu/UFE0052725.

MLA Handbook (7th Edition):

Chandran, Manu. “Application of Machine Learning Techniques in Point Cloud Generation and Point Cloud Object Classification.” 2019. Web. 10 May 2021.

Vancouver:

Chandran M. Application of Machine Learning Techniques in Point Cloud Generation and Point Cloud Object Classification. [Internet] [Doctoral dissertation]. University of Florida; 2019. [cited 2021 May 10]. Available from: https://ufdc.ufl.edu/UFE0052725.

Council of Science Editors:

Chandran M. Application of Machine Learning Techniques in Point Cloud Generation and Point Cloud Object Classification. [Doctoral Dissertation]. University of Florida; 2019. Available from: https://ufdc.ufl.edu/UFE0052725


University of Florida

21. Murthy, Chetan. Decoding-Aware Compression Techniques for Reconfigurable Systems.

Degree: MS, Computer Engineering - Computer and Information Science and Engineering, 2008, University of Florida

 In recent years FPGAs are widely used in reconfigurable systems. Field programmable gate arrays (FPGAs) are configured using bitstreams often loaded from memory. Configuration data… (more)

Subjects/Keywords: Algorithms; Bytes; Compression ratio; Computer memory; Decryption; Engines; Maps; Mathematical vectors; Pressure reduction; Vertices; aware, bitmask, chetan, compression, control, decode, decoding, decompression, dictionary, fpga, huffman, lzss, mishra, murthy, nisc, parallel, parameter, prabhat, reconfigurable, rle, word

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APA (6th Edition):

Murthy, C. (2008). Decoding-Aware Compression Techniques for Reconfigurable Systems. (Masters Thesis). University of Florida. Retrieved from https://ufdc.ufl.edu/UFE0023920

Chicago Manual of Style (16th Edition):

Murthy, Chetan. “Decoding-Aware Compression Techniques for Reconfigurable Systems.” 2008. Masters Thesis, University of Florida. Accessed May 10, 2021. https://ufdc.ufl.edu/UFE0023920.

MLA Handbook (7th Edition):

Murthy, Chetan. “Decoding-Aware Compression Techniques for Reconfigurable Systems.” 2008. Web. 10 May 2021.

Vancouver:

Murthy C. Decoding-Aware Compression Techniques for Reconfigurable Systems. [Internet] [Masters thesis]. University of Florida; 2008. [cited 2021 May 10]. Available from: https://ufdc.ufl.edu/UFE0023920.

Council of Science Editors:

Murthy C. Decoding-Aware Compression Techniques for Reconfigurable Systems. [Masters Thesis]. University of Florida; 2008. Available from: https://ufdc.ufl.edu/UFE0023920


University of Florida

22. Rajah, Kannan. Advance Reservation and Scheduling of Bulk File Transfers in E-Science.

Degree: MS, Computer Engineering - Computer and Information Science and Engineering, 2007, University of Florida

 The advancement of optical networking technologies has enabled e-science applications that often require transport of large volumes of scientific data. In support of such data-intensive… (more)

Subjects/Keywords: Algorithms; Approximation; Bandwidth; File transfers; Integers; Linear programming; Rectangles; Scalability; Scheduling; Traffic loads; admission, advance, bulk, e, grid, optical, scheduling

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APA (6th Edition):

Rajah, K. (2007). Advance Reservation and Scheduling of Bulk File Transfers in E-Science. (Masters Thesis). University of Florida. Retrieved from https://ufdc.ufl.edu/UFE0021168

Chicago Manual of Style (16th Edition):

Rajah, Kannan. “Advance Reservation and Scheduling of Bulk File Transfers in E-Science.” 2007. Masters Thesis, University of Florida. Accessed May 10, 2021. https://ufdc.ufl.edu/UFE0021168.

MLA Handbook (7th Edition):

Rajah, Kannan. “Advance Reservation and Scheduling of Bulk File Transfers in E-Science.” 2007. Web. 10 May 2021.

Vancouver:

Rajah K. Advance Reservation and Scheduling of Bulk File Transfers in E-Science. [Internet] [Masters thesis]. University of Florida; 2007. [cited 2021 May 10]. Available from: https://ufdc.ufl.edu/UFE0021168.

Council of Science Editors:

Rajah K. Advance Reservation and Scheduling of Bulk File Transfers in E-Science. [Masters Thesis]. University of Florida; 2007. Available from: https://ufdc.ufl.edu/UFE0021168


University of Florida

23. Li, Xiaoqi. Hybrid Functional Photoacoustic Tomography and Diffuse Optical Tomography of Breast Cancer.

Degree: PhD, Biomedical Engineering, 2015, University of Florida

Subjects/Keywords: Absorptivity; Breast cancer; Breasts; Image reconstruction; Imaging; Scattering coefficients; Simulations; Transducers; Tumors; Ultrasonography; cancer; imaging; photoacoustic; tomography

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APA (6th Edition):

Li, X. (2015). Hybrid Functional Photoacoustic Tomography and Diffuse Optical Tomography of Breast Cancer. (Doctoral Dissertation). University of Florida. Retrieved from https://ufdc.ufl.edu/UFE0047737

Chicago Manual of Style (16th Edition):

Li, Xiaoqi. “Hybrid Functional Photoacoustic Tomography and Diffuse Optical Tomography of Breast Cancer.” 2015. Doctoral Dissertation, University of Florida. Accessed May 10, 2021. https://ufdc.ufl.edu/UFE0047737.

MLA Handbook (7th Edition):

Li, Xiaoqi. “Hybrid Functional Photoacoustic Tomography and Diffuse Optical Tomography of Breast Cancer.” 2015. Web. 10 May 2021.

Vancouver:

Li X. Hybrid Functional Photoacoustic Tomography and Diffuse Optical Tomography of Breast Cancer. [Internet] [Doctoral dissertation]. University of Florida; 2015. [cited 2021 May 10]. Available from: https://ufdc.ufl.edu/UFE0047737.

Council of Science Editors:

Li X. Hybrid Functional Photoacoustic Tomography and Diffuse Optical Tomography of Breast Cancer. [Doctoral Dissertation]. University of Florida; 2015. Available from: https://ufdc.ufl.edu/UFE0047737


University of Florida

24. Li, Jiade. A Framework for Intelligent Network and Security.

Degree: PhD, Electrical and Computer Engineering, 2017, University of Florida

Subjects/Keywords: 5g; intelligent; learning; network

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APA (6th Edition):

Li, J. (2017). A Framework for Intelligent Network and Security. (Doctoral Dissertation). University of Florida. Retrieved from https://ufdc.ufl.edu/UFE0051682

Chicago Manual of Style (16th Edition):

Li, Jiade. “A Framework for Intelligent Network and Security.” 2017. Doctoral Dissertation, University of Florida. Accessed May 10, 2021. https://ufdc.ufl.edu/UFE0051682.

MLA Handbook (7th Edition):

Li, Jiade. “A Framework for Intelligent Network and Security.” 2017. Web. 10 May 2021.

Vancouver:

Li J. A Framework for Intelligent Network and Security. [Internet] [Doctoral dissertation]. University of Florida; 2017. [cited 2021 May 10]. Available from: https://ufdc.ufl.edu/UFE0051682.

Council of Science Editors:

Li J. A Framework for Intelligent Network and Security. [Doctoral Dissertation]. University of Florida; 2017. Available from: https://ufdc.ufl.edu/UFE0051682


University of Florida

25. Dang, Cong Dinh. Randomized First Order Methods for Convex and Nonconvex Optimization.

Degree: PhD, Industrial and Systems Engineering, 2015, University of Florida

In this dissertation, we propose some first order methods for solving various problems of convex Advisors/Committee Members: LAN,GUANGHUI (committee chair), LAWPHONGPANICH,SIRIPHONG (committee member), XIA,YE (committee member).

Subjects/Keywords: Algorithms; Approximation; Convexity; Coordinate systems; Datasets; Machine learning; Mathematical programming; Random variables; Saddle points; Systems engineering; first  – methods  – order  – randomized

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APA (6th Edition):

Dang, C. D. (2015). Randomized First Order Methods for Convex and Nonconvex Optimization. (Doctoral Dissertation). University of Florida. Retrieved from https://ufdc.ufl.edu/UFE0046978

Chicago Manual of Style (16th Edition):

Dang, Cong Dinh. “Randomized First Order Methods for Convex and Nonconvex Optimization.” 2015. Doctoral Dissertation, University of Florida. Accessed May 10, 2021. https://ufdc.ufl.edu/UFE0046978.

MLA Handbook (7th Edition):

Dang, Cong Dinh. “Randomized First Order Methods for Convex and Nonconvex Optimization.” 2015. Web. 10 May 2021.

Vancouver:

Dang CD. Randomized First Order Methods for Convex and Nonconvex Optimization. [Internet] [Doctoral dissertation]. University of Florida; 2015. [cited 2021 May 10]. Available from: https://ufdc.ufl.edu/UFE0046978.

Council of Science Editors:

Dang CD. Randomized First Order Methods for Convex and Nonconvex Optimization. [Doctoral Dissertation]. University of Florida; 2015. Available from: https://ufdc.ufl.edu/UFE0046978


University of Florida

26. Huang, Qiuyuan. Learning-based Cooperative Networking.

Degree: PhD, Electrical and Computer Engineering, 2017, University of Florida

Subjects/Keywords: cooperation; learning; networking

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APA (6th Edition):

Huang, Q. (2017). Learning-based Cooperative Networking. (Doctoral Dissertation). University of Florida. Retrieved from https://ufdc.ufl.edu/UFE0051315

Chicago Manual of Style (16th Edition):

Huang, Qiuyuan. “Learning-based Cooperative Networking.” 2017. Doctoral Dissertation, University of Florida. Accessed May 10, 2021. https://ufdc.ufl.edu/UFE0051315.

MLA Handbook (7th Edition):

Huang, Qiuyuan. “Learning-based Cooperative Networking.” 2017. Web. 10 May 2021.

Vancouver:

Huang Q. Learning-based Cooperative Networking. [Internet] [Doctoral dissertation]. University of Florida; 2017. [cited 2021 May 10]. Available from: https://ufdc.ufl.edu/UFE0051315.

Council of Science Editors:

Huang Q. Learning-based Cooperative Networking. [Doctoral Dissertation]. University of Florida; 2017. Available from: https://ufdc.ufl.edu/UFE0051315


University of Florida

27. Lin, David. Bloomier hashing confining memory bandwidth and space in network routing table lookup and memory page table access.

Degree: PhD, Computer Engineering - Computer and Information Science and Engineering, 2010, University of Florida

 In today s information age, efficient searching and retrieving of needed data are very important for many digital applications. Hashing is a common and fast… (more)

Subjects/Keywords: Bandwidth; Bytes; Hash coding; Hats; Index numbers; Information search; Search time; Tables of contents; Virtual memory; Workloads; hashing, paging, router

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APA (6th Edition):

Lin, D. (2010). Bloomier hashing confining memory bandwidth and space in network routing table lookup and memory page table access. (Doctoral Dissertation). University of Florida. Retrieved from https://ufdc.ufl.edu/UFE0042477

Chicago Manual of Style (16th Edition):

Lin, David. “Bloomier hashing confining memory bandwidth and space in network routing table lookup and memory page table access.” 2010. Doctoral Dissertation, University of Florida. Accessed May 10, 2021. https://ufdc.ufl.edu/UFE0042477.

MLA Handbook (7th Edition):

Lin, David. “Bloomier hashing confining memory bandwidth and space in network routing table lookup and memory page table access.” 2010. Web. 10 May 2021.

Vancouver:

Lin D. Bloomier hashing confining memory bandwidth and space in network routing table lookup and memory page table access. [Internet] [Doctoral dissertation]. University of Florida; 2010. [cited 2021 May 10]. Available from: https://ufdc.ufl.edu/UFE0042477.

Council of Science Editors:

Lin D. Bloomier hashing confining memory bandwidth and space in network routing table lookup and memory page table access. [Doctoral Dissertation]. University of Florida; 2010. Available from: https://ufdc.ufl.edu/UFE0042477


University of Florida

28. Yang, Chengliang. Interpretable Machine Learning with Applications in Health Care.

Degree: PhD, Computer Science - Computer and Information Science and Engineering, 2018, University of Florida

Subjects/Keywords: ai; healthcare; interpretability

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APA (6th Edition):

Yang, C. (2018). Interpretable Machine Learning with Applications in Health Care. (Doctoral Dissertation). University of Florida. Retrieved from https://ufdc.ufl.edu/UFE0052045

Chicago Manual of Style (16th Edition):

Yang, Chengliang. “Interpretable Machine Learning with Applications in Health Care.” 2018. Doctoral Dissertation, University of Florida. Accessed May 10, 2021. https://ufdc.ufl.edu/UFE0052045.

MLA Handbook (7th Edition):

Yang, Chengliang. “Interpretable Machine Learning with Applications in Health Care.” 2018. Web. 10 May 2021.

Vancouver:

Yang C. Interpretable Machine Learning with Applications in Health Care. [Internet] [Doctoral dissertation]. University of Florida; 2018. [cited 2021 May 10]. Available from: https://ufdc.ufl.edu/UFE0052045.

Council of Science Editors:

Yang C. Interpretable Machine Learning with Applications in Health Care. [Doctoral Dissertation]. University of Florida; 2018. Available from: https://ufdc.ufl.edu/UFE0052045


University of Florida

29. Yu, Inkwan. Improving TCP Slow Start.

Degree: PhD, Computer Engineering - Computer and Information Science and Engineering, 2009, University of Florida

 The TCP slow start algorithm tries to increase the initial congestion window size exponentially until the slow start threshold is reached. The initial TCP start-up… (more)

Subjects/Keywords: Bandwidth; Cosmic microwave background radiation; FTP; Hoes; Output gaps; Parking lots; Simulations; Topology; Traffic estimation; Transmitters; network, slow, start, tcp

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APA (6th Edition):

Yu, I. (2009). Improving TCP Slow Start. (Doctoral Dissertation). University of Florida. Retrieved from https://ufdc.ufl.edu/UFE0041219

Chicago Manual of Style (16th Edition):

Yu, Inkwan. “Improving TCP Slow Start.” 2009. Doctoral Dissertation, University of Florida. Accessed May 10, 2021. https://ufdc.ufl.edu/UFE0041219.

MLA Handbook (7th Edition):

Yu, Inkwan. “Improving TCP Slow Start.” 2009. Web. 10 May 2021.

Vancouver:

Yu I. Improving TCP Slow Start. [Internet] [Doctoral dissertation]. University of Florida; 2009. [cited 2021 May 10]. Available from: https://ufdc.ufl.edu/UFE0041219.

Council of Science Editors:

Yu I. Improving TCP Slow Start. [Doctoral Dissertation]. University of Florida; 2009. Available from: https://ufdc.ufl.edu/UFE0041219


University of Florida

30. Xu, Xiaochun. Algorithms for Sensor Coverage and Sensor Localization Problems in Wireless Sensor Networks.

Degree: PhD, Computer Engineering - Computer and Information Science and Engineering, 2008, University of Florida

 Recent advances in sensor technology coupled with embedded systems and wireless networking have made it possible to deploy sensors for numerous applications including monitoring microclimates… (more)

Subjects/Keywords: Algorithms; Approximation; Euclidean space; Hexagons; Hyperbolas; Polygons; Sensors; Tiles; Tiling; Triangles; approximation, computational, sensor, target, wireless

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APA (6th Edition):

Xu, X. (2008). Algorithms for Sensor Coverage and Sensor Localization Problems in Wireless Sensor Networks. (Doctoral Dissertation). University of Florida. Retrieved from https://ufdc.ufl.edu/UFE0022099

Chicago Manual of Style (16th Edition):

Xu, Xiaochun. “Algorithms for Sensor Coverage and Sensor Localization Problems in Wireless Sensor Networks.” 2008. Doctoral Dissertation, University of Florida. Accessed May 10, 2021. https://ufdc.ufl.edu/UFE0022099.

MLA Handbook (7th Edition):

Xu, Xiaochun. “Algorithms for Sensor Coverage and Sensor Localization Problems in Wireless Sensor Networks.” 2008. Web. 10 May 2021.

Vancouver:

Xu X. Algorithms for Sensor Coverage and Sensor Localization Problems in Wireless Sensor Networks. [Internet] [Doctoral dissertation]. University of Florida; 2008. [cited 2021 May 10]. Available from: https://ufdc.ufl.edu/UFE0022099.

Council of Science Editors:

Xu X. Algorithms for Sensor Coverage and Sensor Localization Problems in Wireless Sensor Networks. [Doctoral Dissertation]. University of Florida; 2008. Available from: https://ufdc.ufl.edu/UFE0022099

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