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You searched for +publisher:"University of Windsor" +contributor:("Wu, Dan"). Showing records 1 – 12 of 12 total matches.

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University of Windsor

1. Yu, Bo. Improved Real Time Predictive Speed Analysis for High Speed Rail Collision Test.

Degree: MS, Computer Science, 2016, University of Windsor

 In real train collision test, the test train cabin is required to be propelled on a straight rail, accelerated to a certain velocity, released at… (more)

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APA (6th Edition):

Yu, B. (2016). Improved Real Time Predictive Speed Analysis for High Speed Rail Collision Test. (Masters Thesis). University of Windsor. Retrieved from https://scholar.uwindsor.ca/etd/5922

Chicago Manual of Style (16th Edition):

Yu, Bo. “Improved Real Time Predictive Speed Analysis for High Speed Rail Collision Test.” 2016. Masters Thesis, University of Windsor. Accessed December 02, 2020. https://scholar.uwindsor.ca/etd/5922.

MLA Handbook (7th Edition):

Yu, Bo. “Improved Real Time Predictive Speed Analysis for High Speed Rail Collision Test.” 2016. Web. 02 Dec 2020.

Vancouver:

Yu B. Improved Real Time Predictive Speed Analysis for High Speed Rail Collision Test. [Internet] [Masters thesis]. University of Windsor; 2016. [cited 2020 Dec 02]. Available from: https://scholar.uwindsor.ca/etd/5922.

Council of Science Editors:

Yu B. Improved Real Time Predictive Speed Analysis for High Speed Rail Collision Test. [Masters Thesis]. University of Windsor; 2016. Available from: https://scholar.uwindsor.ca/etd/5922


University of Windsor

2. Wang, Chenhan. Comparative Research on Robot Path Planning Based on GA-ACA and ACA-GA.

Degree: MS, Computer Science, 2017, University of Windsor

 The path planning for mobile robots is one of the core contents in the field of robotics research with complex, restrictive and nonlinear characteristics. It… (more)

Subjects/Keywords: Ant colony optimization; Grid Method; Robot Path Planning

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APA (6th Edition):

Wang, C. (2017). Comparative Research on Robot Path Planning Based on GA-ACA and ACA-GA. (Masters Thesis). University of Windsor. Retrieved from https://scholar.uwindsor.ca/etd/7403

Chicago Manual of Style (16th Edition):

Wang, Chenhan. “Comparative Research on Robot Path Planning Based on GA-ACA and ACA-GA.” 2017. Masters Thesis, University of Windsor. Accessed December 02, 2020. https://scholar.uwindsor.ca/etd/7403.

MLA Handbook (7th Edition):

Wang, Chenhan. “Comparative Research on Robot Path Planning Based on GA-ACA and ACA-GA.” 2017. Web. 02 Dec 2020.

Vancouver:

Wang C. Comparative Research on Robot Path Planning Based on GA-ACA and ACA-GA. [Internet] [Masters thesis]. University of Windsor; 2017. [cited 2020 Dec 02]. Available from: https://scholar.uwindsor.ca/etd/7403.

Council of Science Editors:

Wang C. Comparative Research on Robot Path Planning Based on GA-ACA and ACA-GA. [Masters Thesis]. University of Windsor; 2017. Available from: https://scholar.uwindsor.ca/etd/7403


University of Windsor

3. Zhou, Wenyi. An Improved Approach for Automatic Parallel Parking in Narrow Parking Spaces.

Degree: MA, Computer Science, 2015, University of Windsor

  In 2014, there are more than 500,000 parking lot collisions, which is a 4% increase compare to 2010. Many cars are being produced every… (more)

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APA (6th Edition):

Zhou, W. (2015). An Improved Approach for Automatic Parallel Parking in Narrow Parking Spaces. (Masters Thesis). University of Windsor. Retrieved from https://scholar.uwindsor.ca/etd/5292

Chicago Manual of Style (16th Edition):

Zhou, Wenyi. “An Improved Approach for Automatic Parallel Parking in Narrow Parking Spaces.” 2015. Masters Thesis, University of Windsor. Accessed December 02, 2020. https://scholar.uwindsor.ca/etd/5292.

MLA Handbook (7th Edition):

Zhou, Wenyi. “An Improved Approach for Automatic Parallel Parking in Narrow Parking Spaces.” 2015. Web. 02 Dec 2020.

Vancouver:

Zhou W. An Improved Approach for Automatic Parallel Parking in Narrow Parking Spaces. [Internet] [Masters thesis]. University of Windsor; 2015. [cited 2020 Dec 02]. Available from: https://scholar.uwindsor.ca/etd/5292.

Council of Science Editors:

Zhou W. An Improved Approach for Automatic Parallel Parking in Narrow Parking Spaces. [Masters Thesis]. University of Windsor; 2015. Available from: https://scholar.uwindsor.ca/etd/5292


University of Windsor

4. Jiang, Xian Jian. Real Time Predictive Speed Analysis for High Speed Rail Collision Test.

Degree: MS, Computer Science, 2015, University of Windsor

  In a real train collision test, a train locomotive needs to be propelled on a straight, guided path, to a particular speed, at which… (more)

Subjects/Keywords: coast down; collision test; crash speed; force release; release location; release speed

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APA (6th Edition):

Jiang, X. J. (2015). Real Time Predictive Speed Analysis for High Speed Rail Collision Test. (Masters Thesis). University of Windsor. Retrieved from https://scholar.uwindsor.ca/etd/5441

Chicago Manual of Style (16th Edition):

Jiang, Xian Jian. “Real Time Predictive Speed Analysis for High Speed Rail Collision Test.” 2015. Masters Thesis, University of Windsor. Accessed December 02, 2020. https://scholar.uwindsor.ca/etd/5441.

MLA Handbook (7th Edition):

Jiang, Xian Jian. “Real Time Predictive Speed Analysis for High Speed Rail Collision Test.” 2015. Web. 02 Dec 2020.

Vancouver:

Jiang XJ. Real Time Predictive Speed Analysis for High Speed Rail Collision Test. [Internet] [Masters thesis]. University of Windsor; 2015. [cited 2020 Dec 02]. Available from: https://scholar.uwindsor.ca/etd/5441.

Council of Science Editors:

Jiang XJ. Real Time Predictive Speed Analysis for High Speed Rail Collision Test. [Masters Thesis]. University of Windsor; 2015. Available from: https://scholar.uwindsor.ca/etd/5441


University of Windsor

5. Dezfoulian, Seyyed Hamid. A Generalized Neural Network Approach to Mobile Robot Navigation and Obstacle Avoidance.

Degree: MA, Computer Science, 2012, University of Windsor

 In this thesis, we tackle the problem of extending neural network navigation algorithms for various types of mobile robots and 2-dimensional range sensors. We propose… (more)

Subjects/Keywords: Artificial intelligence.

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APA (6th Edition):

Dezfoulian, S. H. (2012). A Generalized Neural Network Approach to Mobile Robot Navigation and Obstacle Avoidance. (Masters Thesis). University of Windsor. Retrieved from https://scholar.uwindsor.ca/etd/102

Chicago Manual of Style (16th Edition):

Dezfoulian, Seyyed Hamid. “A Generalized Neural Network Approach to Mobile Robot Navigation and Obstacle Avoidance.” 2012. Masters Thesis, University of Windsor. Accessed December 02, 2020. https://scholar.uwindsor.ca/etd/102.

MLA Handbook (7th Edition):

Dezfoulian, Seyyed Hamid. “A Generalized Neural Network Approach to Mobile Robot Navigation and Obstacle Avoidance.” 2012. Web. 02 Dec 2020.

Vancouver:

Dezfoulian SH. A Generalized Neural Network Approach to Mobile Robot Navigation and Obstacle Avoidance. [Internet] [Masters thesis]. University of Windsor; 2012. [cited 2020 Dec 02]. Available from: https://scholar.uwindsor.ca/etd/102.

Council of Science Editors:

Dezfoulian SH. A Generalized Neural Network Approach to Mobile Robot Navigation and Obstacle Avoidance. [Masters Thesis]. University of Windsor; 2012. Available from: https://scholar.uwindsor.ca/etd/102


University of Windsor

6. Luo, Guanghui. An Improved Clustering based Monte Carlo Localization approach for Cooperative Multi-robot Localization.

Degree: MS, Computer Science, 2011, University of Windsor

 This thesis describes an approach for cooperative multi-robot localization based on probabilistic method (Monte Carlo Localization) used in assistant robots which are capable of sensing… (more)

Subjects/Keywords: Computer Science.

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APA (6th Edition):

Luo, G. (2011). An Improved Clustering based Monte Carlo Localization approach for Cooperative Multi-robot Localization. (Masters Thesis). University of Windsor. Retrieved from https://scholar.uwindsor.ca/etd/329

Chicago Manual of Style (16th Edition):

Luo, Guanghui. “An Improved Clustering based Monte Carlo Localization approach for Cooperative Multi-robot Localization.” 2011. Masters Thesis, University of Windsor. Accessed December 02, 2020. https://scholar.uwindsor.ca/etd/329.

MLA Handbook (7th Edition):

Luo, Guanghui. “An Improved Clustering based Monte Carlo Localization approach for Cooperative Multi-robot Localization.” 2011. Web. 02 Dec 2020.

Vancouver:

Luo G. An Improved Clustering based Monte Carlo Localization approach for Cooperative Multi-robot Localization. [Internet] [Masters thesis]. University of Windsor; 2011. [cited 2020 Dec 02]. Available from: https://scholar.uwindsor.ca/etd/329.

Council of Science Editors:

Luo G. An Improved Clustering based Monte Carlo Localization approach for Cooperative Multi-robot Localization. [Masters Thesis]. University of Windsor; 2011. Available from: https://scholar.uwindsor.ca/etd/329

7. Zheng, Shaochen. Investigation of the Effectiveness of Applying Information Retrieval Techniques to Text-based Image Retrieval Methods.

Degree: MS, Computer Science, 2016, University of Windsor

  With advances in computer technology, there has been an explosion in the amount of digital images being generated. It is of importance to retrieve… (more)

Subjects/Keywords: Image Retrieval; Informational Retrieval; IR; TBIR; Text-based Image Retrieval

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APA (6th Edition):

Zheng, S. (2016). Investigation of the Effectiveness of Applying Information Retrieval Techniques to Text-based Image Retrieval Methods. (Masters Thesis). University of Windsor. Retrieved from https://scholar.uwindsor.ca/etd/5924

Chicago Manual of Style (16th Edition):

Zheng, Shaochen. “Investigation of the Effectiveness of Applying Information Retrieval Techniques to Text-based Image Retrieval Methods.” 2016. Masters Thesis, University of Windsor. Accessed December 02, 2020. https://scholar.uwindsor.ca/etd/5924.

MLA Handbook (7th Edition):

Zheng, Shaochen. “Investigation of the Effectiveness of Applying Information Retrieval Techniques to Text-based Image Retrieval Methods.” 2016. Web. 02 Dec 2020.

Vancouver:

Zheng S. Investigation of the Effectiveness of Applying Information Retrieval Techniques to Text-based Image Retrieval Methods. [Internet] [Masters thesis]. University of Windsor; 2016. [cited 2020 Dec 02]. Available from: https://scholar.uwindsor.ca/etd/5924.

Council of Science Editors:

Zheng S. Investigation of the Effectiveness of Applying Information Retrieval Techniques to Text-based Image Retrieval Methods. [Masters Thesis]. University of Windsor; 2016. Available from: https://scholar.uwindsor.ca/etd/5924

8. Parti, Sushil. A New Frontier Based Approach for Multi-Robot Coverage in Unknown Environments.

Degree: MS, Computer Science, 2016, University of Windsor

 With the emergence of technology in our daily lives, robots are being increasingly used for coverage tasks which were earlier considered too dangerous or monotonous… (more)

Subjects/Keywords: Autonomous Robots; Frontier Based; Multi-Robot Coverage; Robot Coverage; ROS; Unknown Environments

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APA (6th Edition):

Parti, S. (2016). A New Frontier Based Approach for Multi-Robot Coverage in Unknown Environments. (Masters Thesis). University of Windsor. Retrieved from https://scholar.uwindsor.ca/etd/5758

Chicago Manual of Style (16th Edition):

Parti, Sushil. “A New Frontier Based Approach for Multi-Robot Coverage in Unknown Environments.” 2016. Masters Thesis, University of Windsor. Accessed December 02, 2020. https://scholar.uwindsor.ca/etd/5758.

MLA Handbook (7th Edition):

Parti, Sushil. “A New Frontier Based Approach for Multi-Robot Coverage in Unknown Environments.” 2016. Web. 02 Dec 2020.

Vancouver:

Parti S. A New Frontier Based Approach for Multi-Robot Coverage in Unknown Environments. [Internet] [Masters thesis]. University of Windsor; 2016. [cited 2020 Dec 02]. Available from: https://scholar.uwindsor.ca/etd/5758.

Council of Science Editors:

Parti S. A New Frontier Based Approach for Multi-Robot Coverage in Unknown Environments. [Masters Thesis]. University of Windsor; 2016. Available from: https://scholar.uwindsor.ca/etd/5758

9. MUDDU, RAJA SANKAR DILEEP. A Frontier Based Multi-Robot Approach for Coverage of Unknown Environments.

Degree: MS, Computer Science, 2015, University of Windsor

  With the advent of latest technical advancements in the field of robotics, a stage has arrived where autonomous robots are expected to help humans… (more)

Subjects/Keywords: coverage; frontier; multi robot; ROS; stage; unknown

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APA (6th Edition):

MUDDU, R. S. D. (2015). A Frontier Based Multi-Robot Approach for Coverage of Unknown Environments. (Masters Thesis). University of Windsor. Retrieved from https://scholar.uwindsor.ca/etd/5490

Chicago Manual of Style (16th Edition):

MUDDU, RAJA SANKAR DILEEP. “A Frontier Based Multi-Robot Approach for Coverage of Unknown Environments.” 2015. Masters Thesis, University of Windsor. Accessed December 02, 2020. https://scholar.uwindsor.ca/etd/5490.

MLA Handbook (7th Edition):

MUDDU, RAJA SANKAR DILEEP. “A Frontier Based Multi-Robot Approach for Coverage of Unknown Environments.” 2015. Web. 02 Dec 2020.

Vancouver:

MUDDU RSD. A Frontier Based Multi-Robot Approach for Coverage of Unknown Environments. [Internet] [Masters thesis]. University of Windsor; 2015. [cited 2020 Dec 02]. Available from: https://scholar.uwindsor.ca/etd/5490.

Council of Science Editors:

MUDDU RSD. A Frontier Based Multi-Robot Approach for Coverage of Unknown Environments. [Masters Thesis]. University of Windsor; 2015. Available from: https://scholar.uwindsor.ca/etd/5490


University of Windsor

10. Su, Huaicheng. An Improved Approach For Multi-Robot Localization.

Degree: MS, Computer Science, 2008, University of Windsor

  Cooperative multi-robot localization techniques use sensor measurements to estimate poses (locations, orientations) of robots relative to a given map of the environment. Existing approaches… (more)

Subjects/Keywords: multi-robot; localization; Monte Carlo; belief; entropy; density estimation

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APA (6th Edition):

Su, H. (2008). An Improved Approach For Multi-Robot Localization. (Masters Thesis). University of Windsor. Retrieved from https://scholar.uwindsor.ca/etd/8121

Chicago Manual of Style (16th Edition):

Su, Huaicheng. “An Improved Approach For Multi-Robot Localization.” 2008. Masters Thesis, University of Windsor. Accessed December 02, 2020. https://scholar.uwindsor.ca/etd/8121.

MLA Handbook (7th Edition):

Su, Huaicheng. “An Improved Approach For Multi-Robot Localization.” 2008. Web. 02 Dec 2020.

Vancouver:

Su H. An Improved Approach For Multi-Robot Localization. [Internet] [Masters thesis]. University of Windsor; 2008. [cited 2020 Dec 02]. Available from: https://scholar.uwindsor.ca/etd/8121.

Council of Science Editors:

Su H. An Improved Approach For Multi-Robot Localization. [Masters Thesis]. University of Windsor; 2008. Available from: https://scholar.uwindsor.ca/etd/8121


University of Windsor

11. Chen, Jingxi. Bring Consciousness to Mobile Robot Being Localized.

Degree: MS, Computer Science, 2009, University of Windsor

 Mobile robot localization is one of the most important problems in robotics research. A number of successful localization solutions have been proposed, among them, the… (more)

Subjects/Keywords: Artificial Intelligence.

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APA (6th Edition):

Chen, J. (2009). Bring Consciousness to Mobile Robot Being Localized. (Masters Thesis). University of Windsor. Retrieved from https://scholar.uwindsor.ca/etd/318

Chicago Manual of Style (16th Edition):

Chen, Jingxi. “Bring Consciousness to Mobile Robot Being Localized.” 2009. Masters Thesis, University of Windsor. Accessed December 02, 2020. https://scholar.uwindsor.ca/etd/318.

MLA Handbook (7th Edition):

Chen, Jingxi. “Bring Consciousness to Mobile Robot Being Localized.” 2009. Web. 02 Dec 2020.

Vancouver:

Chen J. Bring Consciousness to Mobile Robot Being Localized. [Internet] [Masters thesis]. University of Windsor; 2009. [cited 2020 Dec 02]. Available from: https://scholar.uwindsor.ca/etd/318.

Council of Science Editors:

Chen J. Bring Consciousness to Mobile Robot Being Localized. [Masters Thesis]. University of Windsor; 2009. Available from: https://scholar.uwindsor.ca/etd/318


University of Windsor

12. Jin, Hongxuan. Efficient Probabilistic Inference Algorithms for Cooperative Multiagent Systems.

Degree: PhD, Computer Science, 2010, University of Windsor

 Probabilistic reasoning methods, Bayesian networks (BNs) in particular, have emerged as an effective and central tool for reasoning under uncertainty. In a multi-agent environment, agents… (more)

Subjects/Keywords: Artificial Intelligence.

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APA (6th Edition):

Jin, H. (2010). Efficient Probabilistic Inference Algorithms for Cooperative Multiagent Systems. (Doctoral Dissertation). University of Windsor. Retrieved from https://scholar.uwindsor.ca/etd/414

Chicago Manual of Style (16th Edition):

Jin, Hongxuan. “Efficient Probabilistic Inference Algorithms for Cooperative Multiagent Systems.” 2010. Doctoral Dissertation, University of Windsor. Accessed December 02, 2020. https://scholar.uwindsor.ca/etd/414.

MLA Handbook (7th Edition):

Jin, Hongxuan. “Efficient Probabilistic Inference Algorithms for Cooperative Multiagent Systems.” 2010. Web. 02 Dec 2020.

Vancouver:

Jin H. Efficient Probabilistic Inference Algorithms for Cooperative Multiagent Systems. [Internet] [Doctoral dissertation]. University of Windsor; 2010. [cited 2020 Dec 02]. Available from: https://scholar.uwindsor.ca/etd/414.

Council of Science Editors:

Jin H. Efficient Probabilistic Inference Algorithms for Cooperative Multiagent Systems. [Doctoral Dissertation]. University of Windsor; 2010. Available from: https://scholar.uwindsor.ca/etd/414

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