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You searched for +publisher:"University of Florida" +contributor:("Thai, My Tra"). Showing records 1 – 30 of 40 total matches.

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University of Florida

1. Panchapakesan, Raghav. Effect of Citrus Tree Canopy on the Signal Characteriestics of a Zigbee-Based Multi-Node Wireless Network.

Degree: M.E., Agricultural and Biological Engineering, 2009, University of Florida

 Modern technologies in agriculture are a road to success. Currently wireless technology is the fastest growing technology and its advancement has many implications in agriculture… (more)

Subjects/Keywords: Agriculture; Antennas; Canopy; Modeling; Radio waves; Relative humidity; Sensors; Signals; Software; Transmitters

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APA (6th Edition):

Panchapakesan, R. (2009). Effect of Citrus Tree Canopy on the Signal Characteriestics of a Zigbee-Based Multi-Node Wireless Network. (Masters Thesis). University of Florida. Retrieved from http://ufdc.ufl.edu/UFE0041323

Chicago Manual of Style (16th Edition):

Panchapakesan, Raghav. “Effect of Citrus Tree Canopy on the Signal Characteriestics of a Zigbee-Based Multi-Node Wireless Network.” 2009. Masters Thesis, University of Florida. Accessed July 22, 2019. http://ufdc.ufl.edu/UFE0041323.

MLA Handbook (7th Edition):

Panchapakesan, Raghav. “Effect of Citrus Tree Canopy on the Signal Characteriestics of a Zigbee-Based Multi-Node Wireless Network.” 2009. Web. 22 Jul 2019.

Vancouver:

Panchapakesan R. Effect of Citrus Tree Canopy on the Signal Characteriestics of a Zigbee-Based Multi-Node Wireless Network. [Internet] [Masters thesis]. University of Florida; 2009. [cited 2019 Jul 22]. Available from: http://ufdc.ufl.edu/UFE0041323.

Council of Science Editors:

Panchapakesan R. Effect of Citrus Tree Canopy on the Signal Characteriestics of a Zigbee-Based Multi-Node Wireless Network. [Masters Thesis]. University of Florida; 2009. Available from: http://ufdc.ufl.edu/UFE0041323


University of Florida

2. 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 http://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 July 22, 2019. http://ufdc.ufl.edu/UFE0045118.

MLA Handbook (7th Edition):

Venkat Raj, Prithvi Raj. “Palantir Crowdsourced Newsification on Twitter.” 2012. Web. 22 Jul 2019.

Vancouver:

Venkat Raj PR. Palantir Crowdsourced Newsification on Twitter. [Internet] [Masters thesis]. University of Florida; 2012. [cited 2019 Jul 22]. Available from: http://ufdc.ufl.edu/UFE0045118.

Council of Science Editors:

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


University of Florida

3. Udumala Savary, Sajith. Study of the Force Distribution in the Citrus Canopy During Harvest Using Continuous Canopy Shaker.

Degree: MS, Agricultural and Biological Engineering, 2009, University of Florida

 The study of mechanical harvesters used in citrus harvesting and their effect on the tree has been going on for the past 30 - 40… (more)

Subjects/Keywords: Acceleration; Canopy; Crop harvesting; Fruits; Linear models; Mechanical harvesting; Resultant force; Resultants; Sensors; Simulations; accelerometer, ansys, canopy, citrus, harvesters, labview, shaker, solidworks, xbeepro, zigbee

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APA (6th Edition):

Udumala Savary, S. (2009). Study of the Force Distribution in the Citrus Canopy During Harvest Using Continuous Canopy Shaker. (Masters Thesis). University of Florida. Retrieved from http://ufdc.ufl.edu/UFE0041324

Chicago Manual of Style (16th Edition):

Udumala Savary, Sajith. “Study of the Force Distribution in the Citrus Canopy During Harvest Using Continuous Canopy Shaker.” 2009. Masters Thesis, University of Florida. Accessed July 22, 2019. http://ufdc.ufl.edu/UFE0041324.

MLA Handbook (7th Edition):

Udumala Savary, Sajith. “Study of the Force Distribution in the Citrus Canopy During Harvest Using Continuous Canopy Shaker.” 2009. Web. 22 Jul 2019.

Vancouver:

Udumala Savary S. Study of the Force Distribution in the Citrus Canopy During Harvest Using Continuous Canopy Shaker. [Internet] [Masters thesis]. University of Florida; 2009. [cited 2019 Jul 22]. Available from: http://ufdc.ufl.edu/UFE0041324.

Council of Science Editors:

Udumala Savary S. Study of the Force Distribution in the Citrus Canopy During Harvest Using Continuous Canopy Shaker. [Masters Thesis]. University of Florida; 2009. Available from: http://ufdc.ufl.edu/UFE0041324


University of Florida

4. Syu, Yu-Song. How Do User Behaviors Affect Information Propagation in Twitter?.

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

 Online social networks (OSNs) have become an imperative channel for information propagation and influence such as advertising products in viral marketing or convincing voters in… (more)

Subjects/Keywords: Datasets; Information behavior; Information flow; International conferences; Internet; Online social networking; Social media; Social networking; Uniform Resource Locators; World Wide Web; socialnetwork

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APA (6th Edition):

Syu, Y. (2012). How Do User Behaviors Affect Information Propagation in Twitter?. (Masters Thesis). University of Florida. Retrieved from http://ufdc.ufl.edu/UFE0044690

Chicago Manual of Style (16th Edition):

Syu, Yu-Song. “How Do User Behaviors Affect Information Propagation in Twitter?.” 2012. Masters Thesis, University of Florida. Accessed July 22, 2019. http://ufdc.ufl.edu/UFE0044690.

MLA Handbook (7th Edition):

Syu, Yu-Song. “How Do User Behaviors Affect Information Propagation in Twitter?.” 2012. Web. 22 Jul 2019.

Vancouver:

Syu Y. How Do User Behaviors Affect Information Propagation in Twitter?. [Internet] [Masters thesis]. University of Florida; 2012. [cited 2019 Jul 22]. Available from: http://ufdc.ufl.edu/UFE0044690.

Council of Science Editors:

Syu Y. How Do User Behaviors Affect Information Propagation in Twitter?. [Masters Thesis]. University of Florida; 2012. Available from: http://ufdc.ufl.edu/UFE0044690


University of Florida

5. Wang, Dexiang. Fault-Tolerance-Oriented Topology, Routing and Wavelength Assignment Optimization for WDM All-Optical Networks.

Degree: PhD, Electrical and Computer Engineering, 2011, University of Florida

 Wavelength-routed all-optical communication technologies have immense potential to become a qualified solution to next-generation communication networks satisfying both long-haul networking and special local communication requirements,… (more)

Subjects/Keywords: Algorithms; Avionics; Fault tolerance; Integers; Minimization of cost; Mirroring; Resource utilization; Topology; War; Wavelengths; all-optical  – candidate-routing  – circulant-graph  – fault-tolerance  – ordered-path-enumeration  – routing  – topology-optimization  – torus  – wavelength-assignment  – wdm-networks

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APA (6th Edition):

Wang, D. (2011). Fault-Tolerance-Oriented Topology, Routing and Wavelength Assignment Optimization for WDM All-Optical Networks. (Doctoral Dissertation). University of Florida. Retrieved from http://ufdc.ufl.edu/UFE0042739

Chicago Manual of Style (16th Edition):

Wang, Dexiang. “Fault-Tolerance-Oriented Topology, Routing and Wavelength Assignment Optimization for WDM All-Optical Networks.” 2011. Doctoral Dissertation, University of Florida. Accessed July 22, 2019. http://ufdc.ufl.edu/UFE0042739.

MLA Handbook (7th Edition):

Wang, Dexiang. “Fault-Tolerance-Oriented Topology, Routing and Wavelength Assignment Optimization for WDM All-Optical Networks.” 2011. Web. 22 Jul 2019.

Vancouver:

Wang D. Fault-Tolerance-Oriented Topology, Routing and Wavelength Assignment Optimization for WDM All-Optical Networks. [Internet] [Doctoral dissertation]. University of Florida; 2011. [cited 2019 Jul 22]. Available from: http://ufdc.ufl.edu/UFE0042739.

Council of Science Editors:

Wang D. Fault-Tolerance-Oriented Topology, Routing and Wavelength Assignment Optimization for WDM All-Optical Networks. [Doctoral Dissertation]. University of Florida; 2011. Available from: http://ufdc.ufl.edu/UFE0042739


University of Florida

6. Cheng, Jialong. Towards Combinatorial Characterizations and Algorithms for Bar-And-Joint Independence and Rigidity in 3D and Higher Dimensions.

Degree: PhD, Computer Engineering - Computer and Information Science and Engineering, 2013, University of Florida

 Combinatorial characterization of generic bar-and-joint rigidity in 3D and higher dimensions is a long open problem. This translates to a combinatorial characterization of the exact… (more)

Subjects/Keywords: Algebra; Distance functions; Embeddings; Equations; Infinitesimals; Mathematics; Matroids; Nucleation; Roofs; Vertices; 3d  – bound  – characterization  – combinatorial  – matroid  – rigidity

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APA (6th Edition):

Cheng, J. (2013). Towards Combinatorial Characterizations and Algorithms for Bar-And-Joint Independence and Rigidity in 3D and Higher Dimensions. (Doctoral Dissertation). University of Florida. Retrieved from http://ufdc.ufl.edu/UFE0046127

Chicago Manual of Style (16th Edition):

Cheng, Jialong. “Towards Combinatorial Characterizations and Algorithms for Bar-And-Joint Independence and Rigidity in 3D and Higher Dimensions.” 2013. Doctoral Dissertation, University of Florida. Accessed July 22, 2019. http://ufdc.ufl.edu/UFE0046127.

MLA Handbook (7th Edition):

Cheng, Jialong. “Towards Combinatorial Characterizations and Algorithms for Bar-And-Joint Independence and Rigidity in 3D and Higher Dimensions.” 2013. Web. 22 Jul 2019.

Vancouver:

Cheng J. Towards Combinatorial Characterizations and Algorithms for Bar-And-Joint Independence and Rigidity in 3D and Higher Dimensions. [Internet] [Doctoral dissertation]. University of Florida; 2013. [cited 2019 Jul 22]. Available from: http://ufdc.ufl.edu/UFE0046127.

Council of Science Editors:

Cheng J. Towards Combinatorial Characterizations and Algorithms for Bar-And-Joint Independence and Rigidity in 3D and Higher Dimensions. [Doctoral Dissertation]. University of Florida; 2013. Available from: http://ufdc.ufl.edu/UFE0046127


University of Florida

7. Bandyopadhyay, Shibdas. Parallel Sorting and Motif Search.

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

 With the proliferation of multi-core architectures, it has become increasingly important to design versions of popular algorithms which exploit different micro-architectural  features of these chip… (more)

Subjects/Keywords: Algorithms; Bytes; Histograms; Integers; Mathematical vectors; Preprocessing; Run time; Scalars; Sorting algorithms; Tiles; motif  – parallel  – sorting

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APA (6th Edition):

Bandyopadhyay, S. (2012). Parallel Sorting and Motif Search. (Doctoral Dissertation). University of Florida. Retrieved from http://ufdc.ufl.edu/UFE0044443

Chicago Manual of Style (16th Edition):

Bandyopadhyay, Shibdas. “Parallel Sorting and Motif Search.” 2012. Doctoral Dissertation, University of Florida. Accessed July 22, 2019. http://ufdc.ufl.edu/UFE0044443.

MLA Handbook (7th Edition):

Bandyopadhyay, Shibdas. “Parallel Sorting and Motif Search.” 2012. Web. 22 Jul 2019.

Vancouver:

Bandyopadhyay S. Parallel Sorting and Motif Search. [Internet] [Doctoral dissertation]. University of Florida; 2012. [cited 2019 Jul 22]. Available from: http://ufdc.ufl.edu/UFE0044443.

Council of Science Editors:

Bandyopadhyay S. Parallel Sorting and Motif Search. [Doctoral Dissertation]. University of Florida; 2012. Available from: http://ufdc.ufl.edu/UFE0044443


University of Florida

8. Hemmati, Mehdi. Multilevel Discrete Formulations and Algorithms with Applications to New Production Introduction Games and Network Interdiction Problems.

Degree: PhD, Industrial and Systems Engineering, 2013, University of Florida

 In this dissertation, we study multilevel optimization andnetwork interdiction theory, and apply this theory across several applicationsettings.  The common theme of all ourproblems involves competitive… (more)

Subjects/Keywords: Algorithms; Customers; Integers; Linear programming; Mathematical sequences; Mathematical variables; Objective functions; Operations research; Optimal solutions; Product introduction; bilevel  – interdiction  – network  – optimization

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APA (6th Edition):

Hemmati, M. (2013). Multilevel Discrete Formulations and Algorithms with Applications to New Production Introduction Games and Network Interdiction Problems. (Doctoral Dissertation). University of Florida. Retrieved from http://ufdc.ufl.edu/UFE0045762

Chicago Manual of Style (16th Edition):

Hemmati, Mehdi. “Multilevel Discrete Formulations and Algorithms with Applications to New Production Introduction Games and Network Interdiction Problems.” 2013. Doctoral Dissertation, University of Florida. Accessed July 22, 2019. http://ufdc.ufl.edu/UFE0045762.

MLA Handbook (7th Edition):

Hemmati, Mehdi. “Multilevel Discrete Formulations and Algorithms with Applications to New Production Introduction Games and Network Interdiction Problems.” 2013. Web. 22 Jul 2019.

Vancouver:

Hemmati M. Multilevel Discrete Formulations and Algorithms with Applications to New Production Introduction Games and Network Interdiction Problems. [Internet] [Doctoral dissertation]. University of Florida; 2013. [cited 2019 Jul 22]. Available from: http://ufdc.ufl.edu/UFE0045762.

Council of Science Editors:

Hemmati M. Multilevel Discrete Formulations and Algorithms with Applications to New Production Introduction Games and Network Interdiction Problems. [Doctoral Dissertation]. University of Florida; 2013. Available from: http://ufdc.ufl.edu/UFE0045762


University of Florida

9. Kundakcioglu, Omer. Combinatorial and Nonlinear Optimization Techniques in Pattern Recognition with Applications in Healthcare.

Degree: PhD, Industrial and Systems Engineering, 2009, University of Florida

 The first main contribution of this dissertation is the application of standard support vector machine (SVM) classifiers for death cell discrimination. SVMs are a set… (more)

Subjects/Keywords: Algorithms; Datasets; Hyperplanes; Information classification; Linear regression; Machine learning; Magnetic resonance imaging; Mathematical vectors; Mining; Signals; bound, branch, cancer, data, discrimination, integer, machine, mining, multiple, optimization, pattern, programming, support, svm, toxic, vector

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APA (6th Edition):

Kundakcioglu, O. (2009). Combinatorial and Nonlinear Optimization Techniques in Pattern Recognition with Applications in Healthcare. (Doctoral Dissertation). University of Florida. Retrieved from http://ufdc.ufl.edu/UFE0024768

Chicago Manual of Style (16th Edition):

Kundakcioglu, Omer. “Combinatorial and Nonlinear Optimization Techniques in Pattern Recognition with Applications in Healthcare.” 2009. Doctoral Dissertation, University of Florida. Accessed July 22, 2019. http://ufdc.ufl.edu/UFE0024768.

MLA Handbook (7th Edition):

Kundakcioglu, Omer. “Combinatorial and Nonlinear Optimization Techniques in Pattern Recognition with Applications in Healthcare.” 2009. Web. 22 Jul 2019.

Vancouver:

Kundakcioglu O. Combinatorial and Nonlinear Optimization Techniques in Pattern Recognition with Applications in Healthcare. [Internet] [Doctoral dissertation]. University of Florida; 2009. [cited 2019 Jul 22]. Available from: http://ufdc.ufl.edu/UFE0024768.

Council of Science Editors:

Kundakcioglu O. Combinatorial and Nonlinear Optimization Techniques in Pattern Recognition with Applications in Healthcare. [Doctoral Dissertation]. University of Florida; 2009. Available from: http://ufdc.ufl.edu/UFE0024768


University of Florida

10. Ding, Zongrui. Stochastic Optimization and its Application to Communication Networks and the Smart Grid.

Degree: PhD, Electrical and Computer Engineering, 2012, University of Florida

 The scheduling of some practical systems is highly affected by the randomness of the system variables. Therefore, it is of great importance to model and optimize… (more)

Subjects/Keywords: Adaptive control; Control theory; Electric power; Electricity; Queueing networks; Renewable energy; Scheduling; Simulations; Topology; Wind power; optimization  – smart  – stochastic

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APA (6th Edition):

Ding, Z. (2012). Stochastic Optimization and its Application to Communication Networks and the Smart Grid. (Doctoral Dissertation). University of Florida. Retrieved from http://ufdc.ufl.edu/UFE0044527

Chicago Manual of Style (16th Edition):

Ding, Zongrui. “Stochastic Optimization and its Application to Communication Networks and the Smart Grid.” 2012. Doctoral Dissertation, University of Florida. Accessed July 22, 2019. http://ufdc.ufl.edu/UFE0044527.

MLA Handbook (7th Edition):

Ding, Zongrui. “Stochastic Optimization and its Application to Communication Networks and the Smart Grid.” 2012. Web. 22 Jul 2019.

Vancouver:

Ding Z. Stochastic Optimization and its Application to Communication Networks and the Smart Grid. [Internet] [Doctoral dissertation]. University of Florida; 2012. [cited 2019 Jul 22]. Available from: http://ufdc.ufl.edu/UFE0044527.

Council of Science Editors:

Ding Z. Stochastic Optimization and its Application to Communication Networks and the Smart Grid. [Doctoral Dissertation]. University of Florida; 2012. Available from: http://ufdc.ufl.edu/UFE0044527


University of Florida

11. Tarifi, Mohamad H. Foundations towards an Integrated Theory of Intelligence.

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

 This work outlines the beginning of a new attempt at forming an Integrated Theory of Intelligence.  A complete understanding of intelligence requires a multitude of… (more)

Subjects/Keywords: Algebra; Algorithms; Approximation; Dimensionality reduction; Learning disabilities; Machine learning; Mathematical vectors; Mathematics; Multilevel models; Neuroscience; geometric  – integrated

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APA (6th Edition):

Tarifi, M. H. (2012). Foundations towards an Integrated Theory of Intelligence. (Doctoral Dissertation). University of Florida. Retrieved from http://ufdc.ufl.edu/UFE0044666

Chicago Manual of Style (16th Edition):

Tarifi, Mohamad H. “Foundations towards an Integrated Theory of Intelligence.” 2012. Doctoral Dissertation, University of Florida. Accessed July 22, 2019. http://ufdc.ufl.edu/UFE0044666.

MLA Handbook (7th Edition):

Tarifi, Mohamad H. “Foundations towards an Integrated Theory of Intelligence.” 2012. Web. 22 Jul 2019.

Vancouver:

Tarifi MH. Foundations towards an Integrated Theory of Intelligence. [Internet] [Doctoral dissertation]. University of Florida; 2012. [cited 2019 Jul 22]. Available from: http://ufdc.ufl.edu/UFE0044666.

Council of Science Editors:

Tarifi MH. Foundations towards an Integrated Theory of Intelligence. [Doctoral Dissertation]. University of Florida; 2012. Available from: http://ufdc.ufl.edu/UFE0044666


University of Florida

12. Sullivan, Kelly M. Two-Level System Interdiction.

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

 We consider a number of interdiction problems with applications in homeland security. First, we study a stochastic interdiction model formulated by Morton et al. (IIE… (more)

Subjects/Keywords: Algorithms; Cardinality; Integers; Linear programming; Objective functions; Operations research; Optimal solutions; P values; Sensors; Smuggling; discrete  – interdiction  – network  – nuclear  – optimization

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APA (6th Edition):

Sullivan, K. M. (2012). Two-Level System Interdiction. (Doctoral Dissertation). University of Florida. Retrieved from http://ufdc.ufl.edu/UFE0044471

Chicago Manual of Style (16th Edition):

Sullivan, Kelly M. “Two-Level System Interdiction.” 2012. Doctoral Dissertation, University of Florida. Accessed July 22, 2019. http://ufdc.ufl.edu/UFE0044471.

MLA Handbook (7th Edition):

Sullivan, Kelly M. “Two-Level System Interdiction.” 2012. Web. 22 Jul 2019.

Vancouver:

Sullivan KM. Two-Level System Interdiction. [Internet] [Doctoral dissertation]. University of Florida; 2012. [cited 2019 Jul 22]. Available from: http://ufdc.ufl.edu/UFE0044471.

Council of Science Editors:

Sullivan KM. Two-Level System Interdiction. [Doctoral Dissertation]. University of Florida; 2012. Available from: http://ufdc.ufl.edu/UFE0044471


University of Florida

13. Hasan, Md Mahmudul. Efficient Querying of Biological Networks.

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

 Biological processes drive different functions in cells using complex interaction networks among molecules. We begin querying such biological networks by finding frequent subnetworks in a… (more)

Subjects/Keywords: Bioinformatics; Colts; Databases; Datasets; Eukaryotic cells; Indexing; Personnel evaluation; Prokaryotes; Statistical significance; Topology; algorithm  – alignment  – bioinformatics  – indexing  – network

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APA (6th Edition):

Hasan, M. M. (2016). Efficient Querying of Biological Networks. (Doctoral Dissertation). University of Florida. Retrieved from http://ufdc.ufl.edu/UFE0050226

Chicago Manual of Style (16th Edition):

Hasan, Md Mahmudul. “Efficient Querying of Biological Networks.” 2016. Doctoral Dissertation, University of Florida. Accessed July 22, 2019. http://ufdc.ufl.edu/UFE0050226.

MLA Handbook (7th Edition):

Hasan, Md Mahmudul. “Efficient Querying of Biological Networks.” 2016. Web. 22 Jul 2019.

Vancouver:

Hasan MM. Efficient Querying of Biological Networks. [Internet] [Doctoral dissertation]. University of Florida; 2016. [cited 2019 Jul 22]. Available from: http://ufdc.ufl.edu/UFE0050226.

Council of Science Editors:

Hasan MM. Efficient Querying of Biological Networks. [Doctoral Dissertation]. University of Florida; 2016. Available from: http://ufdc.ufl.edu/UFE0050226


University of Florida

14. Kumar, Udayan. Identifying Social Markers from Network Data Based on Location, Mobility and Proximity.

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

 The ubiquitous spread of mobile devices, global connectivity and tight coupling of mobile phones with the users has lead to an era, where mobile phones… (more)

Subjects/Keywords: Distance functions; Energy efficiency; Fraternities; Geodetic position; Information behavior; Mobile devices; Recommendations; Selfishness; Sororities; Universities; anonymity  – encounter  – gender  – mobile  – proximity  – social  – trust  – wireless

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APA (6th Edition):

Kumar, U. (2012). Identifying Social Markers from Network Data Based on Location, Mobility and Proximity. (Doctoral Dissertation). University of Florida. Retrieved from http://ufdc.ufl.edu/UFE0044888

Chicago Manual of Style (16th Edition):

Kumar, Udayan. “Identifying Social Markers from Network Data Based on Location, Mobility and Proximity.” 2012. Doctoral Dissertation, University of Florida. Accessed July 22, 2019. http://ufdc.ufl.edu/UFE0044888.

MLA Handbook (7th Edition):

Kumar, Udayan. “Identifying Social Markers from Network Data Based on Location, Mobility and Proximity.” 2012. Web. 22 Jul 2019.

Vancouver:

Kumar U. Identifying Social Markers from Network Data Based on Location, Mobility and Proximity. [Internet] [Doctoral dissertation]. University of Florida; 2012. [cited 2019 Jul 22]. Available from: http://ufdc.ufl.edu/UFE0044888.

Council of Science Editors:

Kumar U. Identifying Social Markers from Network Data Based on Location, Mobility and Proximity. [Doctoral Dissertation]. University of Florida; 2012. Available from: http://ufdc.ufl.edu/UFE0044888


University of Florida

15. Wang, Menghan. Combinatorial Characterization of Spaces of Finite Geometrically Constrained Configurations with Applications in Mechanical Design and Machine Learning.

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

 A finite geometric constraint system (H, delta) consists of an underlying constraint (hyper)graph H = (V, E) together with constraint parameters associated with (hyper)edges in… (more)

Subjects/Keywords: Algebra; Geometry; Hypergraphs; Mathematical congruence; Mathematical vectors; Permutations; Polygons; Polynomials; Polytopes; Vertices; constraints  – distance  – geometry  – incidence  – linkage  – rigidity

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APA (6th Edition):

Wang, M. (2015). Combinatorial Characterization of Spaces of Finite Geometrically Constrained Configurations with Applications in Mechanical Design and Machine Learning. (Doctoral Dissertation). University of Florida. Retrieved from http://ufdc.ufl.edu/UFE0049465

Chicago Manual of Style (16th Edition):

Wang, Menghan. “Combinatorial Characterization of Spaces of Finite Geometrically Constrained Configurations with Applications in Mechanical Design and Machine Learning.” 2015. Doctoral Dissertation, University of Florida. Accessed July 22, 2019. http://ufdc.ufl.edu/UFE0049465.

MLA Handbook (7th Edition):

Wang, Menghan. “Combinatorial Characterization of Spaces of Finite Geometrically Constrained Configurations with Applications in Mechanical Design and Machine Learning.” 2015. Web. 22 Jul 2019.

Vancouver:

Wang M. Combinatorial Characterization of Spaces of Finite Geometrically Constrained Configurations with Applications in Mechanical Design and Machine Learning. [Internet] [Doctoral dissertation]. University of Florida; 2015. [cited 2019 Jul 22]. Available from: http://ufdc.ufl.edu/UFE0049465.

Council of Science Editors:

Wang M. Combinatorial Characterization of Spaces of Finite Geometrically Constrained Configurations with Applications in Mechanical Design and Machine Learning. [Doctoral Dissertation]. University of Florida; 2015. Available from: http://ufdc.ufl.edu/UFE0049465


University of Florida

16. 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 http://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 July 22, 2019. http://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. 22 Jul 2019.

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 2019 Jul 22]. Available from: http://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: http://ufdc.ufl.edu/UFE0042477


University of Florida

17. Nguyen, Nam P. Community Structure and Its Applications in Dynamic Complex Networks.

Degree: PhD, Computer Engineering - Computer and Information Science and Engineering, 2013, University of Florida

 In this dissertation, we focus on analyzing and understanding the organizational principals, assessing the structural vulnerability as well as exploring practical applications of dynamic complex… (more)

Subjects/Keywords: Community structure; Datasets; Discourse communities; Modularity; Online communities; Online social networking; Social media; Social networking; Uniform Resource Locators; Worms; adaptive-algorithm  – community-detection  – dynamic-complex-network  – fowarding-routing-stategy  – mobile-network  – online-social-network  – stable-community  – worm-containment

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APA (6th Edition):

Nguyen, N. P. (2013). Community Structure and Its Applications in Dynamic Complex Networks. (Doctoral Dissertation). University of Florida. Retrieved from http://ufdc.ufl.edu/UFE0045408

Chicago Manual of Style (16th Edition):

Nguyen, Nam P. “Community Structure and Its Applications in Dynamic Complex Networks.” 2013. Doctoral Dissertation, University of Florida. Accessed July 22, 2019. http://ufdc.ufl.edu/UFE0045408.

MLA Handbook (7th Edition):

Nguyen, Nam P. “Community Structure and Its Applications in Dynamic Complex Networks.” 2013. Web. 22 Jul 2019.

Vancouver:

Nguyen NP. Community Structure and Its Applications in Dynamic Complex Networks. [Internet] [Doctoral dissertation]. University of Florida; 2013. [cited 2019 Jul 22]. Available from: http://ufdc.ufl.edu/UFE0045408.

Council of Science Editors:

Nguyen NP. Community Structure and Its Applications in Dynamic Complex Networks. [Doctoral Dissertation]. University of Florida; 2013. Available from: http://ufdc.ufl.edu/UFE0045408


University of Florida

18. Li, Shijie. Machine Learning Techniques and Their Applications to Computer Vision.

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

 Machine learning techniques have attracted a great deal of attention from researchers in various scientific and engineering fields. In this dissertation, we study two particular… (more)

Subjects/Keywords: Algorithms; Community structure; Estimate reliability; Matrices; Modularity; Outliers; Pixels; Principal components analysis; Simulations; Space observatories; modularity  – pca  – robustness  – segmentation

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APA (6th Edition):

Li, S. (2014). Machine Learning Techniques and Their Applications to Computer Vision. (Doctoral Dissertation). University of Florida. Retrieved from http://ufdc.ufl.edu/UFE0046984

Chicago Manual of Style (16th Edition):

Li, Shijie. “Machine Learning Techniques and Their Applications to Computer Vision.” 2014. Doctoral Dissertation, University of Florida. Accessed July 22, 2019. http://ufdc.ufl.edu/UFE0046984.

MLA Handbook (7th Edition):

Li, Shijie. “Machine Learning Techniques and Their Applications to Computer Vision.” 2014. Web. 22 Jul 2019.

Vancouver:

Li S. Machine Learning Techniques and Their Applications to Computer Vision. [Internet] [Doctoral dissertation]. University of Florida; 2014. [cited 2019 Jul 22]. Available from: http://ufdc.ufl.edu/UFE0046984.

Council of Science Editors:

Li S. Machine Learning Techniques and Their Applications to Computer Vision. [Doctoral Dissertation]. University of Florida; 2014. Available from: http://ufdc.ufl.edu/UFE0046984


University of Florida

19. Arulselvan, Ashwin. Network Models For Disaster Management.

Degree: PhD, Industrial and Systems Engineering, 2009, University of Florida

 We propose network models to study applications related to risk control and disaster management. We also perform a detailed complexity analysis and provide solution approaches… (more)

Subjects/Keywords: Algorithms; Emergency evacuations; Flow graphs; Genetic algorithms; Heuristics; Modeling; Objective functions; Optimal solutions; Simulations; Transportation; connectivity, contraflow, disaster, evacuation, networks, routing

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APA (6th Edition):

Arulselvan, A. (2009). Network Models For Disaster Management. (Doctoral Dissertation). University of Florida. Retrieved from http://ufdc.ufl.edu/UFE0024855

Chicago Manual of Style (16th Edition):

Arulselvan, Ashwin. “Network Models For Disaster Management.” 2009. Doctoral Dissertation, University of Florida. Accessed July 22, 2019. http://ufdc.ufl.edu/UFE0024855.

MLA Handbook (7th Edition):

Arulselvan, Ashwin. “Network Models For Disaster Management.” 2009. Web. 22 Jul 2019.

Vancouver:

Arulselvan A. Network Models For Disaster Management. [Internet] [Doctoral dissertation]. University of Florida; 2009. [cited 2019 Jul 22]. Available from: http://ufdc.ufl.edu/UFE0024855.

Council of Science Editors:

Arulselvan A. Network Models For Disaster Management. [Doctoral Dissertation]. University of Florida; 2009. Available from: http://ufdc.ufl.edu/UFE0024855


University of Florida

20. Nguyen, Dung T. Cascading Propagation and Optimization in Networks.

Degree: PhD, Computer Engineering - Computer and Information Science and Engineering, 2013, University of Florida

 Cascading processes are more and more popular in highly connected networks. These processes are recognized in a wide range of networks with different contexts: the… (more)

Subjects/Keywords: Datasets; Distance functions; Interdependent networks; Mathematical robustness; Online social networking; Seed set; Seed size; Seeds; Social media; Vertices; cascading  – centrality  – coupling  – diffusion  – interdependent  – optimization

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APA (6th Edition):

Nguyen, D. T. (2013). Cascading Propagation and Optimization in Networks. (Doctoral Dissertation). University of Florida. Retrieved from http://ufdc.ufl.edu/UFE0045910

Chicago Manual of Style (16th Edition):

Nguyen, Dung T. “Cascading Propagation and Optimization in Networks.” 2013. Doctoral Dissertation, University of Florida. Accessed July 22, 2019. http://ufdc.ufl.edu/UFE0045910.

MLA Handbook (7th Edition):

Nguyen, Dung T. “Cascading Propagation and Optimization in Networks.” 2013. Web. 22 Jul 2019.

Vancouver:

Nguyen DT. Cascading Propagation and Optimization in Networks. [Internet] [Doctoral dissertation]. University of Florida; 2013. [cited 2019 Jul 22]. Available from: http://ufdc.ufl.edu/UFE0045910.

Council of Science Editors:

Nguyen DT. Cascading Propagation and Optimization in Networks. [Doctoral Dissertation]. University of Florida; 2013. Available from: http://ufdc.ufl.edu/UFE0045910


University of Florida

21. Shen, Yilin. The Exploitation of Power-Law Networks Robustness, Optimization and Its Impact on Communication Networks and Social Behaviors.

Degree: PhD, Computer Engineering - Computer and Information Science and Engineering, 2013, University of Florida

 Many practical complex networks, such as the Internet, WWW and social networks, are discovered to follow power-law distribution in their degree sequences, i.e., the number… (more)

Subjects/Keywords: Approximation; Connectivity; Distance functions; Hardness; Integers; Mathematical robustness; Optimal solutions; Terrorism; Uniform Resource Locators; Vertices; approximationalgorithm  – communicationnetwork  – hardnessandinapproxmibability  – networkvulnerability  – optimization  – powerlawgraph  – socialnetwork

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APA (6th Edition):

Shen, Y. (2013). The Exploitation of Power-Law Networks Robustness, Optimization and Its Impact on Communication Networks and Social Behaviors. (Doctoral Dissertation). University of Florida. Retrieved from http://ufdc.ufl.edu/UFE0045394

Chicago Manual of Style (16th Edition):

Shen, Yilin. “The Exploitation of Power-Law Networks Robustness, Optimization and Its Impact on Communication Networks and Social Behaviors.” 2013. Doctoral Dissertation, University of Florida. Accessed July 22, 2019. http://ufdc.ufl.edu/UFE0045394.

MLA Handbook (7th Edition):

Shen, Yilin. “The Exploitation of Power-Law Networks Robustness, Optimization and Its Impact on Communication Networks and Social Behaviors.” 2013. Web. 22 Jul 2019.

Vancouver:

Shen Y. The Exploitation of Power-Law Networks Robustness, Optimization and Its Impact on Communication Networks and Social Behaviors. [Internet] [Doctoral dissertation]. University of Florida; 2013. [cited 2019 Jul 22]. Available from: http://ufdc.ufl.edu/UFE0045394.

Council of Science Editors:

Shen Y. The Exploitation of Power-Law Networks Robustness, Optimization and Its Impact on Communication Networks and Social Behaviors. [Doctoral Dissertation]. University of Florida; 2013. Available from: http://ufdc.ufl.edu/UFE0045394


University of Florida

22. Thakur, Gautam. A Data-driven Modeling of Large-scale Mobile Networks Community and Vehicular Mobility.

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

 In this work, an overarching need of a framework for data-driven mobility modeling in pedestrian and vehicular networks is proposed. Mobility is one of the… (more)

Subjects/Keywords: Cities; Community structure; Datasets; Modeling; Motor vehicle traffic; Simulations; Statistical models; Traffic congestion; Traffic density; Vertices; bigdata  – datascience  – modeling  – networks  – protocol  – vehicular

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APA (6th Edition):

Thakur, G. (2012). A Data-driven Modeling of Large-scale Mobile Networks Community and Vehicular Mobility. (Doctoral Dissertation). University of Florida. Retrieved from http://ufdc.ufl.edu/UFE0044975

Chicago Manual of Style (16th Edition):

Thakur, Gautam. “A Data-driven Modeling of Large-scale Mobile Networks Community and Vehicular Mobility.” 2012. Doctoral Dissertation, University of Florida. Accessed July 22, 2019. http://ufdc.ufl.edu/UFE0044975.

MLA Handbook (7th Edition):

Thakur, Gautam. “A Data-driven Modeling of Large-scale Mobile Networks Community and Vehicular Mobility.” 2012. Web. 22 Jul 2019.

Vancouver:

Thakur G. A Data-driven Modeling of Large-scale Mobile Networks Community and Vehicular Mobility. [Internet] [Doctoral dissertation]. University of Florida; 2012. [cited 2019 Jul 22]. Available from: http://ufdc.ufl.edu/UFE0044975.

Council of Science Editors:

Thakur G. A Data-driven Modeling of Large-scale Mobile Networks Community and Vehicular Mobility. [Doctoral Dissertation]. University of Florida; 2012. Available from: http://ufdc.ufl.edu/UFE0044975


University of Florida

23. Chen, Chao. A Programming Model for Safer Pervasive Spaces.

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

 In a world where pervasive computing technology permeates every corner of our lives, safety is paramount. Unlike traditional computer systems, pervasive systems tie intimately with… (more)

Subjects/Keywords: Computer programming; Computer technology; Databases; Detection; Domain ontologies; Durability; Engineering; Programming models; Sensors; Ubiquitous computing; safety

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APA (6th Edition):

Chen, C. (2012). A Programming Model for Safer Pervasive Spaces. (Doctoral Dissertation). University of Florida. Retrieved from http://ufdc.ufl.edu/UFE0044981

Chicago Manual of Style (16th Edition):

Chen, Chao. “A Programming Model for Safer Pervasive Spaces.” 2012. Doctoral Dissertation, University of Florida. Accessed July 22, 2019. http://ufdc.ufl.edu/UFE0044981.

MLA Handbook (7th Edition):

Chen, Chao. “A Programming Model for Safer Pervasive Spaces.” 2012. Web. 22 Jul 2019.

Vancouver:

Chen C. A Programming Model for Safer Pervasive Spaces. [Internet] [Doctoral dissertation]. University of Florida; 2012. [cited 2019 Jul 22]. Available from: http://ufdc.ufl.edu/UFE0044981.

Council of Science Editors:

Chen C. A Programming Model for Safer Pervasive Spaces. [Doctoral Dissertation]. University of Florida; 2012. Available from: http://ufdc.ufl.edu/UFE0044981


University of Florida

24. Xuan, Ying. Discrete Optimization for Network Security and Reliability.

Degree: PhD, Computer Engineering - Computer and Information Science and Engineering, 2011, University of Florida

 Any network problems in essence equal to some principle questions in Discrete Mathematics, since all network elements can be abstracted as basic discrete structures, such… (more)

Subjects/Keywords: Algorithms; Heuristics; Jammers; Jamming; Mathematical robustness; Sensors; Signals; Simulations; Topology; Vertices; discrete  – network  – optimization  – reliability  – security

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APA (6th Edition):

Xuan, Y. (2011). Discrete Optimization for Network Security and Reliability. (Doctoral Dissertation). University of Florida. Retrieved from http://ufdc.ufl.edu/UFE0043687

Chicago Manual of Style (16th Edition):

Xuan, Ying. “Discrete Optimization for Network Security and Reliability.” 2011. Doctoral Dissertation, University of Florida. Accessed July 22, 2019. http://ufdc.ufl.edu/UFE0043687.

MLA Handbook (7th Edition):

Xuan, Ying. “Discrete Optimization for Network Security and Reliability.” 2011. Web. 22 Jul 2019.

Vancouver:

Xuan Y. Discrete Optimization for Network Security and Reliability. [Internet] [Doctoral dissertation]. University of Florida; 2011. [cited 2019 Jul 22]. Available from: http://ufdc.ufl.edu/UFE0043687.

Council of Science Editors:

Xuan Y. Discrete Optimization for Network Security and Reliability. [Doctoral Dissertation]. University of Florida; 2011. Available from: http://ufdc.ufl.edu/UFE0043687


University of Florida

25. Dinh, Thang N. Complex Networks under Attacks Vulnerability Assessment and Optimization.

Degree: PhD, Computer Engineering - Computer and Information Science and Engineering, 2013, University of Florida

 Complex network systems are extremely vulnerable to attacks.  In the presence of uncertainty,  assessing network vulnerability before potential malicious attacks is vital for network planning… (more)

Subjects/Keywords: Algorithms; Approximation; Connectivity; Cost efficiency; Eigenvalues; Hardness; Minimization of cost; Optimal solutions; Seeding; Vertices; approximation-algorithm  – complex-network  – pairwise-connectivity  – vulnerability-assessment

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APA (6th Edition):

Dinh, T. N. (2013). Complex Networks under Attacks Vulnerability Assessment and Optimization. (Doctoral Dissertation). University of Florida. Retrieved from http://ufdc.ufl.edu/UFE0045412

Chicago Manual of Style (16th Edition):

Dinh, Thang N. “Complex Networks under Attacks Vulnerability Assessment and Optimization.” 2013. Doctoral Dissertation, University of Florida. Accessed July 22, 2019. http://ufdc.ufl.edu/UFE0045412.

MLA Handbook (7th Edition):

Dinh, Thang N. “Complex Networks under Attacks Vulnerability Assessment and Optimization.” 2013. Web. 22 Jul 2019.

Vancouver:

Dinh TN. Complex Networks under Attacks Vulnerability Assessment and Optimization. [Internet] [Doctoral dissertation]. University of Florida; 2013. [cited 2019 Jul 22]. Available from: http://ufdc.ufl.edu/UFE0045412.

Council of Science Editors:

Dinh TN. Complex Networks under Attacks Vulnerability Assessment and Optimization. [Doctoral Dissertation]. University of Florida; 2013. Available from: http://ufdc.ufl.edu/UFE0045412


University of Florida

26. Tiwari, Ravi. Broadcast Scheduling and Detection of Dynamic Phenomena in Wireless Sensor Networks.

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

 Majority of network applications designed on top of Wireless Sensor Networks (WSNs) involve detection and tracking of some physical phenomena. Additionally, they utilize some primitive… (more)

Subjects/Keywords: Aggregation; Algorithms; Approximation; Broadcasting; Broadcasting industry; Hexagons; Octahedrons; Scheduling; Sensors; Tessellations; approximation, broadcast, centralized, combinatorial, interference, localized, optimization, phenomena, scheduling

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APA (6th Edition):

Tiwari, R. (2010). Broadcast Scheduling and Detection of Dynamic Phenomena in Wireless Sensor Networks. (Doctoral Dissertation). University of Florida. Retrieved from http://ufdc.ufl.edu/UFE0041927

Chicago Manual of Style (16th Edition):

Tiwari, Ravi. “Broadcast Scheduling and Detection of Dynamic Phenomena in Wireless Sensor Networks.” 2010. Doctoral Dissertation, University of Florida. Accessed July 22, 2019. http://ufdc.ufl.edu/UFE0041927.

MLA Handbook (7th Edition):

Tiwari, Ravi. “Broadcast Scheduling and Detection of Dynamic Phenomena in Wireless Sensor Networks.” 2010. Web. 22 Jul 2019.

Vancouver:

Tiwari R. Broadcast Scheduling and Detection of Dynamic Phenomena in Wireless Sensor Networks. [Internet] [Doctoral dissertation]. University of Florida; 2010. [cited 2019 Jul 22]. Available from: http://ufdc.ufl.edu/UFE0041927.

Council of Science Editors:

Tiwari R. Broadcast Scheduling and Detection of Dynamic Phenomena in Wireless Sensor Networks. [Doctoral Dissertation]. University of Florida; 2010. Available from: http://ufdc.ufl.edu/UFE0041927


University of Florida

27. Shin, Incheol. Novel Mitigation Methods Against Reactive Jamming Attack Theoretical and Practical Solutions.

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

 Reactive jamming attacks have been considered as the most critical and fatally adversarial threats to subvert or disrupt the networks since they attack the broadcast… (more)

Subjects/Keywords: Approximation; Broadcasting industry; Diameters; Hexagons; Jammers; Jamming; Sensors; Signals; Simulations; Transmitters; reactive, security, wireless

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APA (6th Edition):

Shin, I. (2010). Novel Mitigation Methods Against Reactive Jamming Attack Theoretical and Practical Solutions. (Doctoral Dissertation). University of Florida. Retrieved from http://ufdc.ufl.edu/UFE0041863

Chicago Manual of Style (16th Edition):

Shin, Incheol. “Novel Mitigation Methods Against Reactive Jamming Attack Theoretical and Practical Solutions.” 2010. Doctoral Dissertation, University of Florida. Accessed July 22, 2019. http://ufdc.ufl.edu/UFE0041863.

MLA Handbook (7th Edition):

Shin, Incheol. “Novel Mitigation Methods Against Reactive Jamming Attack Theoretical and Practical Solutions.” 2010. Web. 22 Jul 2019.

Vancouver:

Shin I. Novel Mitigation Methods Against Reactive Jamming Attack Theoretical and Practical Solutions. [Internet] [Doctoral dissertation]. University of Florida; 2010. [cited 2019 Jul 22]. Available from: http://ufdc.ufl.edu/UFE0041863.

Council of Science Editors:

Shin I. Novel Mitigation Methods Against Reactive Jamming Attack Theoretical and Practical Solutions. [Doctoral Dissertation]. University of Florida; 2010. Available from: http://ufdc.ufl.edu/UFE0041863

28. 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 http://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 July 22, 2019. http://ufdc.ufl.edu/UFE0049852.

MLA Handbook (7th Edition):

Wang, Yi. “Scheduling Algorithms and Optimization for Wireless Network and Cloud Computing.” 2016. Web. 22 Jul 2019.

Vancouver:

Wang Y. Scheduling Algorithms and Optimization for Wireless Network and Cloud Computing. [Internet] [Doctoral dissertation]. University of Florida; 2016. [cited 2019 Jul 22]. Available from: http://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: http://ufdc.ufl.edu/UFE0049852


University of Florida

29. 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 http://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 July 22, 2019. http://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. 22 Jul 2019.

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 2019 Jul 22]. Available from: http://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: http://ufdc.ufl.edu/UFE0022554


University of Florida

30. Li, Xin. Novel Control Approaches and Simulators for Complex Networks.

Degree: PhD, Electrical and Computer Engineering, 2016, University of Florida

Subjects/Keywords: communication; game-theory; heterogeneous-network; load-shedding; simulator; smart-grid; social-network

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APA (6th Edition):

Li, X. (2016). Novel Control Approaches and Simulators for Complex Networks. (Doctoral Dissertation). University of Florida. Retrieved from http://ufdc.ufl.edu/UFE0050205

Chicago Manual of Style (16th Edition):

Li, Xin. “Novel Control Approaches and Simulators for Complex Networks.” 2016. Doctoral Dissertation, University of Florida. Accessed July 22, 2019. http://ufdc.ufl.edu/UFE0050205.

MLA Handbook (7th Edition):

Li, Xin. “Novel Control Approaches and Simulators for Complex Networks.” 2016. Web. 22 Jul 2019.

Vancouver:

Li X. Novel Control Approaches and Simulators for Complex Networks. [Internet] [Doctoral dissertation]. University of Florida; 2016. [cited 2019 Jul 22]. Available from: http://ufdc.ufl.edu/UFE0050205.

Council of Science Editors:

Li X. Novel Control Approaches and Simulators for Complex Networks. [Doctoral Dissertation]. University of Florida; 2016. Available from: http://ufdc.ufl.edu/UFE0050205

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