Abstract:In the eye-in-hand system, the depth is very important for visual positioning system. The image of the object moves as the camera moving, according to the image position change of the same object and the distance the camera made, the depth can be estimated. This paper deduced the relation between camera moving and the image of object moving, adopted centroid method and local voting method to detecting circle. Then used the table tennis to do the radial and the axial motion experiments and estimate the depth. The experiments proved that moving camera alongside either radial or axis direction and taking photos in different position, the depth can be calculated according to the distance the camera moved and the image changes of the same object.

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	1. The Depth Estimation Based on Acitve Vision
	Lin Anping,Sun Wei
	Information Science and System Science 05 May 2017
	Show/Hide Abstract \| Cite this paper︱Full-text: PDF (359K B)

	Abstract:In the eye-in-hand system, the depth is very important for visual positioning system. The image of the object moves as the camera moving, according to the image position change of the same object and the distance the camera made, the depth can be estimated. This paper deduced the relation between camera moving and the image of object moving, adopted centroid method and local voting method to detecting circle. Then used the table tennis to do the radial and the axial motion experiments and estimate the depth. The experiments proved that moving camera alongside either radial or axis direction and taking photos in different position, the depth can be calculated according to the distance the camera moved and the image changes of the same object.
	TO cite this article:Lin Anping,Sun Wei. The Depth Estimation Based on Acitve Vision[OL].[ 5 May 2017] http://www.paper.edu.cn/en_releasepaper/content/4730728


	2. Statistical Modeling for Multiple Modes Facial Images using GND-PCA
	Qiao Xu
	Information Science and System Science 04 May 2017
	Show/Hide Abstract \| Cite this paper︱Full-text: PDF (453K B)

	Abstract: In this paper, we proposed a new approach called generalized N-dimensional principal component analysis (GND-PCA) for statistical appearance modeling of facial images with multiple modes including different people, different pose and different illumination. The facial images with multiple modes can be considered as high-dimensional data. GND-PCA can be used to treat the high-order dimensional data as a series of high-order tensors and calculate the bases on each mode-subspace in order to approximate the tensor accurately. GND-PCA can represent the high-order dimensional data of image ensembles more efficiently compared to the recently proposed ND-PCA method. MaVIC Database (KAO-Ritsumeikan Multi-angle View, Illumination and Cosmetic Facial Database) is used in our experiments and the results are compared with those obtained by conventional PCA and ND-PCA.
	TO cite this article:Qiao Xu. Statistical Modeling for Multiple Modes Facial Images using GND-PCA[OL].[ 4 May 2017] http://www.paper.edu.cn/en_releasepaper/content/4732187

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	3. Some notes on Input-output Finite-time Stability of Discrete-time Switched Systems
	ZHANG Guang-Chen, WANG Wei-Qun, GAO Jing-Bo
	Information Science and System Science 02 May 2017
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	Abstract:This paper contains a discussion on input-output finite-time stability (I-O FTS) issues related to switched systems featuring arbitrary switching and restricted switching. For switched systems under arbitrary switching, sufficient conditions are separately obtained for input signals $mathcal{W}_2$ and $mathcal{W}_infty$, respectively. The I-O FTS issues for switched systems under restricted switching are then addressed, including cases of switching signals with known instants and average dwell time; corresponding sufficient conditions are proposed via solvable LMIs constraints. To conclude the paper, the effectiveness of the proposed results are illustrated through numerical examples.
	TO cite this article:ZHANG Guang-Chen, WANG Wei-Qun, GAO Jing-Bo. Some notes on Input-output Finite-time Stability of Discrete-time Switched Systems[OL].[ 2 May 2017] http://www.paper.edu.cn/en_releasepaper/content/4727410


	4. A Review of Regularization Based Feature Selection Algorithms
	Kai Xiong, Junwei Han
	Information Science and System Science 22 April 2017
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	Abstract:Feature selection plays a significant role in pattern recognition, machine learning and other related fields. It can be used in data preprocessing step to achieve efficient dimensionality reduction by selecting a subset of discriminant and informative features. In recent years, regularization based feature selection has attracted great interest and many algorithms have been proposed. The common idea of these methods is to choose a proper norm such as $ell_1$-norm, $ell_1/ell_infty$-norm and $ell_{2,1}$-norm for the selection vector or selection matrix to achieve sparseness, and the non-zero entries or rows correspond to the selected features. This paper aims to review the recently proposed representative works, provides insight into the differences and connections between these methods, and discusses the challenges and possible directions of future work.
	TO cite this article:Kai Xiong, Junwei Han. A Review of Regularization Based Feature Selection Algorithms[OL].[22 April 2017] http://www.paper.edu.cn/en_releasepaper/content/4728212


	5. Electronic phase diagram of oxygen-deficient SmNiO3-δ epitaxial thin films
	CHEN Binjie,SUN Yan,YANG Nan,ZHONG Ni,ZHANG Yuanyuan,BAI Wei,SUN Lin,TANG Xiaodong,YANG Pinxiong,XIANG Pinghua,DUAN Chungang
	Information Science and System Science 16 April 2017
	Show/Hide Abstract \| Cite this paper︱Full-text: PDF (920K B)

	Abstract:Epitaxial SmNiO3-δ thin films were fabricated under various oxygen partial pressures (PO2) on (001)-oriented LaAlO3 substrates by pulsed laser deposition method. Continuous control of the metal-insulator transition temperature (TMI) from 350 K to 85 K has been achieved by varying PO2 from 26 Pa to 0.5 Pa. The reduction of TMI can be attributed to the straightening out of the out-of-plane Ni-O-Ni bond angle due to the elongation of unit cell volume with decrease of PO2. When PO2 > 3 Pa, the resistivity anomalies around 200 K are observed in the insulating phase of strained SmNiO3-δ films, suggesting the onset of antiferromagnetic ordering of the Ni sublattices. Based on the results of the transport measurements, an electronic phase diagram of the oxygen deficient SmNiO3-δ films has been established in this work.
	TO cite this article:CHEN Binjie,SUN Yan,YANG Nan, et al. Electronic phase diagram of oxygen-deficient SmNiO3-δ epitaxial thin films[OL].[16 April 2017] http://www.paper.edu.cn/en_releasepaper/content/4725913


	6. A New Filtering Algorithm for Stochastic Dynamical Systems with State-Dependent Observation Noise
	TANG Jian-Fang, LI Jian-Bo, ZHOU Jie
	Information Science and System Science 12 December 2016
	Show/Hide Abstract \| Cite this paper︱Full-text: PDF (139K B)

	Abstract:Much research on extensions of Kalman filtering for models with state-dependent noise has been done in the past decades. This paper discusses a dynamic system with observation noise dependent on estimated state, where the correlation between them is described by a nonzero covariance matrix. We propose a new filtering algorithm, which shows a better performance than the standard Kalman filtering in this case. Numerical example is provided to verify its performance.
	TO cite this article:TANG Jian-Fang, LI Jian-Bo, ZHOU Jie. A New Filtering Algorithm for Stochastic Dynamical Systems with State-Dependent Observation Noise[OL].[12 December 2016] http://www.paper.edu.cn/en_releasepaper/content/4712079


	7. A Satellite Network Prediction Method Based on nonlinear Optimized SVM
	Zhu Runtao,Li Ning
	Information Science and System Science 02 December 2016
	Show/Hide Abstract \| Cite this paper︱Full-text: PDF (469K B)

	Abstract:According to the limited processing ability of satellite, a network traffic prediction model based on wavelet transformation and nonlinear optimization SVM is proposed. First wavelet transform was carried out on the network traffic to get scale coefficients and the wavelet coefficients. Then Using nonlinear quantum particle swarm optimization algorithm to optimize the SVM. Through the SVM regression model, the wavelet component regression analysis is done. Finally do wavelet reconstruction and obtain prediction results. The experimental results show that the improved prediction algorithm has better generalization ability and is suitable for short-term prediction. Its prediction accuracy is much better than traditional forecasting methods.
	TO cite this article:Zhu Runtao,Li Ning. A Satellite Network Prediction Method Based on nonlinear Optimized SVM[OL].[ 2 December 2016] http://www.paper.edu.cn/en_releasepaper/content/4712110


	8. Pruned Convolutional Neural Network with two supervisory signals for Face Recognition
	ZOU Ying,LIU Xiaohong
	Information Science and System Science 11 November 2016
	Show/Hide Abstract \| Cite this paper︱Full-text: PDF (313K B)

	Abstract:Deep convolution neural network (CNN) has achieved a great success on face recognition techniques. But most of CNN models tend to be much deeper, which are at the expenses of high consumption of computation and storage. So, it is hard for these deep CNNs applied to mobile equipments because of poor computational and memory resources. To alleviate this issue, this paper optimizes a lightened baseline CNN model by adopting an additional contrastive loss to extract more discriminative features. To further reduce the number of parameters, a pruning strategy is tried to compress our model, which slightly improves accuracy on the LFW dataset with the compression ratio of 0.7. Finally, experimental results show that the proposed method achieve state-of-the-art results with much smaller size and fewer training data.
	TO cite this article:ZOU Ying,LIU Xiaohong. Pruned Convolutional Neural Network with two supervisory signals for Face Recognition[OL].[11 November 2016] http://www.paper.edu.cn/en_releasepaper/content/4709529


	9. Barrier Lyapunov Function-based control for strict-feedback systems withfull state constraints
	WANG Chunxiao,WU Yuqiang
	Information Science and System Science 02 July 2016
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	Abstract:This paper studies an adaptive control design for a class of strict-feedback nonlinear systems with asymmetric time-varying full state constraints. A time-varying asymmetric Barrier Lyapunov Function (ABLF) is employed to ensure time-varying constraints satisfaction. By allowing the barriers to vary with the desired trajectory in time, the initial condition requirements are relaxed. Thus the ABLF can afford greater flexibility in control design. The high order coupling terms caused by backstepping method are canceled through variable substitution. Asymptotic tracking is achieved without violation of any constraints, and all signals in the closed-loop system are ultimately bounded. The performance of the ABLF-based control is illustrated through a numerical example.
	TO cite this article:WANG Chunxiao,WU Yuqiang. Barrier Lyapunov Function-based control for strict-feedback systems withfull state constraints[OL].[ 2 July 2016] http://www.paper.edu.cn/en_releasepaper/content/4699692


	10. Composite PDE Boundary Control of Flexible Manipulator Using Singular Perturbation Approach
	Liu Zhijie,Liujin Kun
	Information Science and System Science 24 May 2016
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	Abstract:In this paper, a new composite boundary controller for flexible manipulator is presented based on the partial differential equation (PDE) model. A key contribution of this paper is the introduction of singular perturbation approach to the PDE dynamic model of flexible manipulator, which results in two simpler subsystems-slow subsystem and fast subsystem. Considering the characteristics of flexible manipulators, a composite controller for the full model is proposed, which includes a position controller for the slow subsystem and a direct feedback controller for the fast subsystem to suppress the vibration. Simulation results demonstrate the effectiveness of the proposed controller.
	TO cite this article:Liu Zhijie,Liujin Kun. Composite PDE Boundary Control of Flexible Manipulator Using Singular Perturbation Approach[OL].[24 May 2016] http://www.paper.edu.cn/en_releasepaper/content/4694618

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