96 Result(s)
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Chapter and Conference Paper
Representing Wholes by Structure
The influence of Part-Whole relationship (partof) on ontology languages is weak because the special semantics of partof is missed in both representations and interpretations. In this paper, we first exemplify the...
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Chapter and Conference Paper
Learning the Semantic Meaning of a Concept from the Web
Many researchers have used text classification method in solving the ontology map** problem. Their map** results heavily depend on the availability of quality exemplars used as training data. However, manu...
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Chapter and Conference Paper
A Framework for Modeling Positive Class Expansion with Single Snapshot
In many real-world data mining tasks, the coverage of the target concept may change as the time changes. For example,the coverage of “learned knowledge” of a student today may be different from his/er “learned...
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Chapter and Conference Paper
Empirically-Based Crop Insurance for China: A Pilot Study in the Down-middle Yangtze River Area of China
Factors that caused slow growth in crop insurance participation and its ultimate failure in China were multi-faceted including high agricultural production risk, low participation rate, inadequate public aware...
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Chapter and Conference Paper
An Improved Two-Stage Camera Calibration Method Based on Particle Swarm Optimization
According to the calibration of binocular vision, an improved two-stage camera calibration method involved with multi-distortion coefficients is introduced in this paper. At the first stage, the 3D points’ coo...
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Chapter and Conference Paper
Towards Analyzing Recombination Operators in Evolutionary Search
Recombination (also called crossover) operators are widely used in EAs to generate offspring solutions. Although the usefulness of recombination has been well recognized, theoretical analysis on recombination ope...
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Chapter and Conference Paper
An Improved Image Rectification Algorithm Based on Particle Swarm Optimization
Image rectification is a method to apply projective transformation to image pair which can ensure the epipolar lines in one horizontal line. There is only horizontal disparity in two images and the matching sp...
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Chapter and Conference Paper
Disparity Vector Based Depth Information Calculation
The depth information contained in the image sequence which produced by the movement of the camera along the each axis is analyzed in this paper, especially for the depth information along the optical axis. Th...
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Chapter and Conference Paper
Study on Wave Filtering of Photoacoustic Spectrometry Detecting Signal Based on Mallat Algorithm
According to the concept of wavelet, the thesis analyse the peculiarity of wavelet, and applies Mallat algorithm of wavelet method to treat the photoacoustic signals of water content in oil. Mallat algorithm i...
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Chapter and Conference Paper
Cable Length Measurement Systems Based on Time Domain Reflectometry
Based on the principle of time domain reflectometry(TDR) cable length measurement, the principle error of the TDR cable length measurement is analyzed. Methods for reducing cable length measurement error are a...
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Chapter and Conference Paper
Complex Detection Based on Integrated Properties
Most of current methods mainly focus on topological information and fail to consider the information from protein primary sequence which is of considerable importance for protein complex detection. Based on th...
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Chapter and Conference Paper
Movement Simulation for Wheeled Mobile Robot Based on Stereo Vision
According to the application of the planet detection, the kinematics model of six wheels rock-bogie robot was studied in this paper. A corresponding robot movement simulation system based on stereo vision and ...
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Chapter and Conference Paper
The Research on Method of Detection for Three-Dimensional Temperature of the Furnace Based on Support Vector Machine
SVM is a rising in common use learning technology base on Statistical Learning Theory. In view of the variety of the changes of burning flame in large-scale boiler, in order to master the status of the furnace...
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Chapter and Conference Paper
Study on Affecting Factors of Time Domain Reflectometry Cable Length Measurement
The theory of the time domain reflectometry(TDR) cable length measurement is investigated. Based on the principle of TDR cable length measurement, the principle error of the TDR cable length measurement is ana...
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Chapter and Conference Paper
The Cable Crimp Levels Effect on TDR Cable Length Measurement System
Time domain reflectometry (TDR) technology is an ideal cable length measurement method. The traveling wave propagation velocity is the key to the measuring accuracy of the TDR cable length measurement system. ...
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Chapter and Conference Paper
Application of the BP Neural Network PID Algorithm in Heat Transfer Station Control
Heat transfer station temperature control system has characteristics of being nonlinear, time-varying and has hysteretic complicated large inertial, and the effect of control is closely related to the algorith...
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Chapter and Conference Paper
On Algorithm-Dependent Boundary Case Identification for Problem Classes
Running time analysis of metaheuristic search algorithms has attracted a lot of attention. When studying a metaheuristic algorithm over a problem class, a natural question is what are the easiest and the harde...
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Chapter and Conference Paper
Diversity Regularized Ensemble Pruning
Diversity among individual classifiers is recognized to play a key role in ensemble, however, few theoretical properties are known for classification. In this paper, by focusing on the popular ensemble pruning...
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Chapter and Conference Paper
A Novel Multi-class Brain-Computer Interface (BCI) Paradigm Based on Motor Imagery Sequential Coding (MISC) Protocol
In this study, we present a novel multi-class BCI paradigm based on motor imagery sequential coding (MISC) protocol, which can generate multiple commands just by two kinds of motor imagery (MI) tasks. In the M...
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Chapter and Conference Paper
Self-Practice Imitation Learning from Weak Policy
Imitation learning is an effective strategy to reinforcement learning, which avoids the delayed reward problem by learning from mentor-demonstrated trajectories. A limitation for imitation learning is that col...
