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Hybrid-augmented intelligence： collaboration and cognition

Frontiers of information Technology & Electronic Engineering 2017年第2期18卷 153-179页

作者： Nan-ning ZHENG Zi-yi LIU Peng-ju REN Yong-qiang MA Shi-tao CHEN Si-yu YU Jian-ru XUE Ba-dong CHEN Fei-yue WANG Institute of Artificial Intelligence and Robotics Xi ' an Jiaotong University Xi ' an 710049 China National Engineering Laboratory of Visual Information Processing Applications Xi 'an Jiaotong University Xi'an 710049 China State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences Beijing 100190 China

The long-term goal of artificial intelligence （AI） is to make machines learn and think like human beings. Due to the high levels of uncertainty and vulnerability in human life and the open-ended nature of problems that humans are facing, no matter how intelligent machines are, they are unable to completely replace humans. Therefore, it is necessary to introduce human cognitive capabilities or human-like cognitive models into AI systems to develop a new form of AI, that is, hybrid-augmented intelligence. This form of AI or machine intelligence is a feasible and important developing model. Hybrid-augmented intelligence can be divided into two basic models： one is human-in-the-loop augmented intelligence with human-computer collaboration, and the other is cognitive computing based augmented intelligence, in which a cognitive model is embedded in the machine learning system. This survey describes a basic framework for human-computer collaborative hybrid-augmented intelligence, and the basic elements of hybrid-augmented intelligence based on cognitive computing. These elements include intuitive reasoning, causal models, evolution of memory and knowledge, especially the role and basic principles of intuitive reasoning for complex problem solving, and the cognitive learning framework for visual scene understanding based on memory and reasoning. Several typical applications of hybrid-augmented intelligence in related fields are given.

关键词： Human-machine collaboration Hybrid-augmented intelligence Cognitive computing Intuitivereasoning Causal model Cognitive mapping Visual scene understanding Self-driving cars

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Second-Order Consensus of Multi-agent systems via Periodically Intermittent Pinning control

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Circuits, systems, and Signal processing 2016年第7期35卷 2413-2431页

作者： Wang, Xiaoling Su, Housheng Wang, Xiaofan Liu, Bo Department of Automation Shanghai Jiao Tong University and Key Laboratory of System Control and Information Processing Ministry of Education of China Shanghai200240 China School of Automation Image Processing and Intelligent Control Key Laboratory of Education Ministry of China Huazhong University of Science and Technology Wuhan430074 China College of Science North China University of Technology Beijing100144 China

In this paper, we investigate the leader-following consensus of second-order multi-agent systems with nonlinear dynamics and time delay by employing periodically intermittent pinning control. All member agents and the virtual leader share the same nonlinear dynamics relating to the velocity and delayed velocity information. Based on Lyapunov stability theory, we obtain a novel criterion that is independent of the time delay and control width to guarantee the second-order consensus of multi-agent systems with time delay and periodically intermittent controllers. Numerical simulations are presented to illustrate the theoretical results. © 2015, Springer Science+Business Media New York.

关键词： Time delay

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Reconstruction of compressed sensing images based on Lpnorm and modified quasi-Newton method

Boletin Tecnico/Technical Bulletin

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Boletin Tecnico/Technical Bulletin 2017年第15期55卷 482-488页

作者： Gong, Ping Li, Guohua Li, Jian School of Information and Electronic Engineering Wuzhou Universtity Wuzhou Guangxi543002 China Guangxi Colleges and Universities Key Laboratory of Image Processing and Intelligence Information System Wuzhou Universtity Wuzhou Guangxi543002 China

The Lpnorm which combines the advantages of L1and L0norms (0pnorm and its first-order derivative is computed. A quasi-Newton method is generated using the globally converging modified CBFGS formula and the inexact Wolfe linear search strategy. Experiments are performed under different sampling rates and image features. Experimental results show that the visual effects of images reconstructed using the proposed algorithm are better than existing methods and that the proposed algorithm achieves performance gain in terms of PSNR and SSIM.

关键词： Image reconstruction

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A formation-constrained cooperative path planning method for multi-Autonomous underwater vehicles

A formation-constrained cooperative path planning method for...

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2017 International Conference on Computing Intelligence and information system, CIIS 2017

作者： Du, Shuangshuang Cai, Chao Wang, Houjun Li, Dongwu National Key Laboratory for Multispectral Information Processing Technologies School of Automation Huazhong University of Science and Technology Wuhan Hubei430074 China National Ocean Technology Center Tianjin300100 China Tianjin Zhong Wei Aerospace Data System Technology Co.Ltd Tianjin300100 China

ISBN: (纸本)9781538638866

A novel path planning method based on particle swarm optimization (PSO) is proposed to achieve cooperative formation cruise for multi-Autonomous underwater vehicles (AUV). In particular, inspired by the virtual structure approach, particle in PSO is defined as a set of cooperative routes. These routes are composed by a series of navigation points including the initial points and the target points of corresponding vehicles. Given these navigation points, the optimization can be carried out in the search space described by vectors. By designing a reasonable cost function and a particle updating strategy, the method successfully coordinates the time and space of vehicles before vehicles arrived the formation-constrained positions, and simultaneously, preserves the formation constraint and avoids obstacles during the navigation, which provides a new perspective to address the cooperative path planning problem with a formation constraint. The feasibility and effectiveness of the proposed method are validated by experiments. © 2017 IEEE.

关键词： Autonomous underwater vehicles

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On-line Monitoring for Coal Low Heating Value in Coal-fired Power Plant Boiler Based on CM-LSSVM-PLS 35

On-line Monitoring for Coal Low Heating Value in Coal-fired ...

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第35届中国控制会议

作者： Shi Yuanhao Wang Jingcheng Ren Yifeng School of Computer Science and Control Engineering North University of China Department of Automation Shanghai Jiao Tong Universityand Key Laboratory of System Control and Information ProcessingMinistry of Education of China

ISBN: (纸本)9781509009107

A novel comprehensive real-time on-line calculation model of coal's Low Heating Value(LHV) in coal-fired boiler is presented in this ***,the training operational data is partitioned into several subsets by means of C-Means cluster ***,the Least Squares Support Vector Machine(LS-SVM) method is used to training the sub-models in each ***,the sub-models are combined into one model based on Partial Least Squares algorithm(PLS).The models' effectiveness is illustrated by the validation of online simulation in which the real operation data is *** result shows that it is potential to considerably fulfill not only the accuracy of online monitoring of LHV of the coal into the boiler,but also the real-time computations that are supplied by using indirect heat balance approach.

关键词： Coal-fired Power Plant Boiler Thermal Efficiency Low Heating Value C-Means Cluster LS-SVM PLS

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Hierarchical P systems with randomized right-hand sides of rules 18th

Hierarchical P systems with randomized right-hand sides of r...

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18th International Conference on Membrane Computing, CMC 1018

作者： Alhazov, Artiom Freund, Rudolf Ivanov, Sergiu Institute of Mathematics and Computer Science Academy of Sciences of Moldova Academiei 5 Chişinău2028 Moldova Key Laboratory of Image Information Processing and Intelligent Control of Education Ministry of China School of Automation Huazhong University of Science and Technology Wuhan430074 China Faculty of Informatics TU Wien Favoritenstraße 9–11 Vienna1040 Austria LACL Université Paris Est – Créteil Val de Marne 61 av. Général de Gaulle Créteil94010 France TIMC-IMAG/DyCTiM Faculty of Medicine of Grenoble 5 avenue du Grand Sablon La Tronche38700 France

ISBN: (纸本)9783319733586

P systems are a model of hierarchically compartmentalized multiset rewriting. We introduce a novel kind of P systems in which rules are dynamically constructed in each step by non-deterministic pairing of left-hand and right-hand sides. We define three variants of right-hand side randomization and compare each of them with the power of conventional P systems. It turns out that all three variants enable non-cooperative P systems to generate exponential (and thus non-semi-linear) number languages. We also give a binary normal form for one of the variants of P systems with randomized rule right-hand sides. © 2018, Springer International Publishing AG.

关键词： Hierarchical systems

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Effects of Rounding-off Approximation on Quantization of Complex Networks 35

Effects of Rounding-off Approximation on Quantization of Com...

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第35届中国控制会议

作者： WANG Ying WANG Lin YANG Wen WANG Xiaofan Department of Automation Shanghai Jiao Tong University and Key Laboratory of System Control and Information ProcessingMinistry of Education of China Key Laboratory of Advanced Control and Optimization for Chemical Processes (East China University of Science and Technology) Ministry of Education

ISBN: (纸本)9781509009107

Many networks constructed and investigated in network science are based on quantized weights of edges due to limitation on measurement or for research convenience. In this work, quantization effects on networks properties are investigated based on the eigenvalues of the corresponding Laplacian. Non-integer weights are rounded off to nd that higher rounding-off precision leads to a better approximation of the original networks distribution of eigenvalues, whereas shows no in uence on the quantization results. In contrast to the intuition that larger quantization level always implies a better approximation of the quantized network to the original one, periodic jumping phenomena at the critical quantization level with peak-value decreasing in a power-law relationship are observed in all the real-world networks we investigated. Furthermore, random exchange of weights among edges could in uence the critical quantization level but doesn’t affect the jumping phenomena.

关键词： Quantization Laplacian spectrum Jumping phenomena Round off Power law

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Convergent Properties of Riccati Equation with Application to Stability Analysis of State Estimation

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Mathematical Problems in Engineering 2017年第1期2017卷

作者： Cai, X. Ding, Y.S. Li, S.Y. Engineering Research Center of Digitized Textile and Apparel Technology Ministry of Education College of Information Science and Technology Donghua University Shanghai201620 China Department of Automation Shanghai Jiao Tong University and Key Laboratory of System Control and Information Processing Ministry of Education Shanghai200240 China

Since the recursive nature of Kalman filtering always results in a growing size of the optimization problem, state estimation is usually realized by use of finite-memory, receding horizon, sliding window, or "frozen" techniques, which causes difficulties on stability analysis. This paper proposes a novel method on selection of an initial covariance matrix and a horizon for the Kalman filter to make sure that a sequence of the closed-loop Kalman filters are stable as time-invariant filters at subsequent time instant. Convergent properties of Riccati Difference Equation (RDE) are first exploited. Based on these properties, sufficient conditions for stability of a sequence of Kalman filters are obtained. Compared with the existent literature, the convergent properties and the stability conditions are less conservative since they provide analytic results and are applicable to more common cases where the RDEs are not monotonic. © 2017 X. Cai et al.

关键词： Kalman filters

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Motion deblurring based on convolutional neural network 12th

Motion deblurring based on convolutional neural network

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12th International Conference on Bio-Inspired Computing: Theories and Applications, BIC-TA 2017

作者： Tan, Yunfei Zhang, Di Xu, Fei Zhang, Danyang Department of Physical Education Huazhong University of Science and Technology WuhanHubei430074 China Key Laboratory of Image Information Processing Intelligent Control of Education Ministry of China School of Automation Huazhong University of Science and Technology WuhanHubei430074 China JamaicaNY11451 United States

ISBN: (纸本)9789811071782

Object motion blur results when the object in the scene moves during the recording of a single exposure, either due to too rapid movement or long exposure, leaving streaks of the moving object in the image and thus degrading its quality. In this paper, we present a method to solve the object motion blur problem in images with clear static background. Specifically, we propose an object motion deblurring algorithm that uses a convolutional neural network with six convolutional layers to deblur the image. Taking advantages of the strong ability of feature learning in convolutional neural networks, our method can remove the blurring effect of fast-moving object while keeping the clear background untouched. It is well known that neural networks are best driven by large data sets and more data means more benefits for training convolutional neural networks;therefore, we generated training set of 144,000 images and test set of 32,400 images. Through carefully designed training process, our model learned the ability of deblurring the blurred object while keeping the clear background. The experiment results show that our approach can generate superior results to a representative image deblurring algorithm that treats the same blurred object and clear background. © Springer Nature Singapore Pte Ltd 2017.

关键词： Image enhancement

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Research on Encryption Algorithm Based on Python

Research on Encryption Algorithm Based on Python

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International Conference on Computer Technology, Electronics and Communication (ICCTEC)

作者： Xin Zhang Dexian Zhang College of Information Science and Engineering Henan University of Technology Zhengzhou Henan China Grain Information Processing and Control Key Laboratory of Ministry of Education Zhengzhou Henan China

ISBN: (纸本)9781538657850

With the rise of Python language in these years, more and more developers start to use Python language to do researches. Python language has its own advantage on Encryption algorithm. This paper discusses the principles of Caesar Cipher, Simple Substitution Cipher and Vigenere Cipher and their operating process based on Python, then concludes the characteristics and disadvantages of these Encryption algorithms from security and efficiency. It points out their applicable range, and in the end, forecasts the future of the Encryption algorithm based on Python.

关键词： Ciphers Encryption Python Nonlinear optics Optical imaging

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