Advances in Artificial Intelligence
22nd Canadian Conference on Artificial Intelligence, Canadian AI 2009 Kelowna, Canada, May 25-27, 2009 Proceedings
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18 Result(s)
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Chapter and Conference Paper
Design and Implementation of College Student Volunteer Service Platform Based on Collaborative Filtering Algorithm
In the past decade, voluntary service has mushroomed vigorously. With the promotion of voluntary service and the progress of the Internet, massive voluntary service data have been generated in voluntary activi...
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Article
Trajectory prediction and visual localization of snake robot based on BiLSTM neural network
Snake robot’s low view angle makes them vulnerable to being blocked by obstacles, which causes visual loss and track offset. In this paper, a trajectory prediction method and visual localization system for sna...
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Article
Formation control of multiple mecanum-wheeled mobile robots with physical constraints and uncertainties
Aiming at the formation control of multiple Mecanum-wheeled mobile robots (MWMRs) with physical constraints and model uncertainties, a novel robust control scheme that combines model predictive control (MPC) a...
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Chapter and Conference Paper
Planning Management Exploration in the Development of Large-Scale Satellite Constellation Systems
The development and construction of large-scale satellite constellation system is highly complicated, involving a wide range of fields and having a long construction period. Therefore, the planning management ...
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Article
Feasibility, planning and control of ground-wall transition for a suctorial hexapod robot
One of the key factors that affect the efficiency and scope of work of wall-climbing robots is how the climbing robot can achieve autonomous transition between adjacent vertical planes. This paper studies the ...
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Article
A Robust Model Predictive Control Strategy for Trajectory Tracking of Omni-directional Mobile Robots
This paper proposes a robust model predictive control (MPC) strategy for the trajectory tracking control of a four-mecanum-wheeled omni-directional mobile robot (FM-OMR) under various constraints. The method p...
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Chapter and Conference Paper
FASTT: Team Formation Using Fair Division
We consider the problem of multiple team formation within a project-based university course. Given several tasks with requirements and several students with skills, we investigate the problem of assigning tea...
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Chapter and Conference Paper
Facial Expression Recognition Based on Local Double Binary Mapped Pattern
Local feature descriptors play an important role in facial expression recognition. Local Binary Pattern (LBP) only considers the signal information of the difference between the gray value of the center pixel ...
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Chapter and Conference Paper
The Construction of a Customized Medical Corpus for Assisting Chinese Clinicians in English Research Article Writing
A great number of clinicians in mainland China are under increasing pressure to publish their research results on international journals, and they urgently need support for writing research articles in English...
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Chapter and Conference Paper
Structure-Based Prediction of Protein Phosphorylation Sites Using an Ensemble Approach
As one of the most prevailing post-translational modifications, phosphorylation is vital in regulating almost every cellular behavior. In this paper, we propose a new computational method that can effectively ...
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Book and Conference Proceedings
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Chapter and Conference Paper
Random Instances of W[2]-Complete Problems: Thresholds, Complexity, and Algorithms
The study of random instances of NP complete and coNP complete problems has had much impact on our understanding of the nature of hard problems as well as the strength and weakness of well-founded heuristics. ...
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Chapter and Conference Paper
Topological Relations Between Vague Objects in Discrete Space Based on Rough Model
Rough model is proposed to model vague geographic objects based on the definition of rough regions, lower approximation regions, upper approximation regions and boundary regions. With the combination of rough ...
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Chapter
Boosting in Random Subspace for Face Recognition
Boosting is a general method for improving the performance of any learning algorithm. In this paper, an unusual regularization technique, boosting in random subspace, is employed to improve generalization capa...
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Chapter and Conference Paper
A Voting Method and Its Application in Precise Object Location
It has been demonstrated that combining the decisions of several classifiers can lead to better recognition results. The combination can be implemented using a variety of schemes, among which voting method is ...
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Chapter and Conference Paper
Consistency and Random Constraint Satisfaction Models with a High Constraint Tightness
Existing random models for the constraint satisfaction problem (CSP) all require an extremely low constraint tightness in order to have non-trivial threshold behaviors and guaranteed hard instances at the thre...
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Chapter and Conference Paper
On the Treewidth of NK Landscapes
The concepts of treewidth and tree-decomposition on graphs generalize those of the trees. It is well established that when restricted to instances with a bounded treewidth, many NP hard problems can be solved ...
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Chapter
Theoretical Analyses, New Algorithms, and Some Applications of Genetic Algorithms: A Review of Some Recent Work
We review the recent work done by our group on theoretically analyzing the behavior of genetic algorithms(GAs) and searching for new ideas and strategies to design more efficient GAs. By introducing the concep...
