9 Result(s)
within
Conference Paper
Shi** Ma
Simulation and Modeling
Special Purpose and Application-Based Systems
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Chapter and Conference Paper
A 3D-Shape Reconstruction Method Based on Coded Structured Light and Projected Ray Intersecting Location
This paper proposes a 3D-shape reconstruction method based on coded structured light. Projecting color pseudo-random coded pattern on surface of object and using the thought of ray intersecting location, 3D sh...
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Chapter and Conference Paper
A Feature Points Matching Method Based on Window Unique Property of Pseudo-Random Coded Image
Proposed a method for object feature points matching used in active machine vision technique. By projecting pseudo-random coded structured light onto the object to add code information, its feature points can ...
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Chapter and Conference Paper
Optimal Tracking Performance for Unstable Processes with NMP Zeroes
This paper has investigated optimal tracking performance for unstable processes with non-minimum phase (NMP) under control energy constraint. Firstly, based on prime factorization of unstable process, a perfor...
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Chapter and Conference Paper
A Heterogeneous Data Integration Model
With the rapid development of the Internet of Things (IOT), the data management, data mining and data analysis in IOT systems require improving the usability of the multi-sourced, distributed, autonomous and h...
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Chapter and Conference Paper
An Emergency-Response Timing Constraint Workflow Model
In view of the requirements for high reliability, high time accuracy and complicated time constraints in emergency response workflow systems, a time constraints modeling method is proposed to meet these requir...
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Chapter and Conference Paper
Noise-Removal Method for Manifold Learning
Manifold learning algorithms are nonlinear dimensionality reduction methods which could find the intrinsic geometry structure of the data points and recover the latent main factors that influence object change...
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Chapter and Conference Paper
Evaluation of K-SVD Embedded with Modified \(\ell _{1}\) -Norm Sparse Representation Algorithm
The K-SVD algorithm aims to find an adaptive dictionary for a set of signals by using the sparse representation optimization and constrained singular value decomposition. In this paper, firstly, the original K...
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Chapter and Conference Paper
A Method of Ridge-NNG-Based Multivariate Fault Isolation in Presentence of Collinearity
Multivariate fault isolation is a critical step for monitoring industrial chemical and biological processes. For some complex cases with strong correlation variables which commonly exist in the industry proces...
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Chapter and Conference Paper
Multivariate Fault Isolation in Presence of Outliers Based on Robust Nonnegative Garrote
Fault isolation is essential to fault monitoring, which can be used to detect the cause of the fault. Commonly used methods include contribution plots, LASSO, Nonnegative garrote, construction-based methods, b...
