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IEEE International Symposium on intelligent Signal processing and Communication Systems (ISPACS)

作者： Liang Hu Li Chen Jing Tian Hubei Province Key Laboratory of Intelligent Information Processing and Real-time Industrial System Wuhan University of Science and Technology Wuhan China

Freckles is a facial feature of human, it has many significant applications in many video surveillance area. This paper proposes to use deep learning method to perform freckles detection and recognition in face images. To be more specific, a freckle recognition model is proposed in this paper based on convolution neural network. Experimental results are presented to show that the proposed approach is able to achieve 98% accuracy freckle recognition rate.

关键词： Face recognition Face Machine learning Feature extraction Data models Convolution

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Memory-augmented Neural Machine Translation

Memory-augmented Neural Machine Translation

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2017 Conference on Empirical Methods in Natural Language processing, EMNLP 2017

作者： Feng, Yang Zhang, Shiyue Zhang, Andi Wang, Dong Abel, Andrew Center for Speech and Language Technologies RIIT Tsinghua University China Key Laboratory of Intelligent Information Processing Institute of Computing Technology Chinese Academy of Sciences China Beijing University of Posts and Telecommunications China Huilan Corporation Beijing China Xi’An Jiaotong Liverpool-University Suzhou China

ISBN: (纸本)9781945626838

Neural machine translation (NMT) has achieved notable success in recent times, however it is also widely recognized that this approach has limitations with handling infrequent words and word pairs. This paper presents a novel memory-augmented NMT (M-NMT) architecture, which stores knowledge about how words (usually infrequently encountered ones) should be translated in a memory and then utilizes them to assist the neural model. We use this memory mechanism to combine the knowledge learned from a conventional statistical machine translation system and the rules learned by an NMT system, and also propose a solution for out-of-vocabulary (OOV) words based on this framework. Our experiments on two Chinese-English translation tasks demonstrated that the M-NMT architecture outperformed the NMT baseline by 9.0 and 2.7 BLEU points on the two tasks, respectively. Additionally, we found this architecture resulted in a much more effective OOV treatment compared to competitive methods. © 2017 Association for Computational Linguistics.

关键词： Neural machine translation

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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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Feature mapping for speaker diarization in noisy conditions

Feature mapping for speaker diarization in noisy conditions

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IEEE International Conference on Acoustics, Speech and Signal processing

作者： Weixin Zhu Wu Guo Guoping Hu National Engineering Laboratory of Speech and Language Information Processing University of Science and Technology of China Hefei China Key Laboratory of Intelligent Speech Technology Ministry of Public Security Hefei China

ISBN: (纸本)9781509041183

Speaker diarization in noisy conditions is addressed in this paper. The regression-based DNN is first adopted to map the noisy acoustic features to the clean features, and then consensus clustering of the original and mapped features is used to fuse the diarization results. The experiments are conducted on the IFLY-DIAR-II database, which is a Chinese talk show database with various noise types, such as music, applause and laughter. Compared to the baseline system using PLP features, a 21.26% relative DER improvement can be achieved using the proposed algorithm.

关键词： Speaker diarization deep neural networks feature mapping consensus clustering Noise Loudspeakers feature map Laughter MAPPING(MATHEMATICAL) Talk shows Database noise type Density estimation robust algorithm

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Exploring universal speech attributes for speaker verification

Exploring universal speech attributes for speaker verificati...

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IEEE International Conference on Acoustics, Speech and Signal processing

作者： Sheng Zhang Wu Guo Guoping Hu National Engineering Laboratory of Speech and Language Information Processing University of Science and Technology of China Hefei China Key Laboratory of Intelligent Speech Technology Ministry of Public Security Hefei China

ISBN: (纸本)9781509041183

The universal speech attributes for speaker verification (SV) are addressed in this paper. The aim of this work is to exploit fundamental characteristics across different speakers within the deep neural network (DNN)/i-vector framework. The manner and place of articulation form the fundamental speech attribute unit inventory, and new attribute units for acoustic modelling are generated by a two-step automatic clustering method in this paper. The DNN based on universal attribute units is used to generate posterior probability in total variability modelling and i-vector extracting for the speaker recognition procedure. Furthermore, Gaussian mixture models (GMMs) are used to fit the distribution of the features associated with a given context-dependent attribute unit to improve performance. The experiments are carried out on the core test from the NIST SRE 2008 corpus;the proposed system can obtain better performance than all other state-of-the-art systems.

关键词： Speaker verification DNN universal speech attributes speaker recognition Core testing Universal Speech a posteriori probability Joints

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Investigation on the acoustic absorption of flexible micro-perforated panel with ultra-micro perforations

Investigation on the acoustic absorption of flexible micro-p...

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The 4th Advanced Materials,Mechanics and Structural Engineering Conference(AMMSE 2017)

作者： Guoxin Li Deyi Kong Xiaoning Tang Xiaoxiao Zhang Y.J.Qian State Key Laboratory of Transducer Technology Institute of Intelligent Machines Chinese Academy of Sciences Hefei Institutes of Physical Science University of Science and Technology of China Key Laboratory of Textile Science and Technology Ministry of Education College of Textiles Donghua University

Flexible micro-perforated panel has unique advantages in noise reduction due to its good flexibility compared with traditional rigid microperforated panel. In this paper, flexible microperforated panel was prepared by computer numerical control(CNC) milling machine. Three kinds of plastics including polyvinylchloride(PVC), polyethylene terephthalate(PET), and polyimide(PI) were taken as the matrix materials to prepare flexible microperforated panel. It has been found that flexible microperforated panel made of PET possessing good porosity and proper density, elastic modulus and poisson ratio exhibited the best acoustic absorption properties. The effects of various structural parameters including perforation diameter, perforation ratio,thickness and air gap have also been investigated,which would be helpful to the optimization of acoustic absorption properties.

关键词： Investigation on the acoustic absorption of flexible micro-perforated panel with ultra-micro perforations

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Weak value amplification via second-order correlated technique

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Chinese Physics B 2016年第2期25卷 58-61页

作者：崔挺黄靖正刘翔曾贵华 State Key Laboratory of Advanced Optical Communication Systems and Networks Shanghai Key Laboratory on Navigation and Location-based Serviceand Center of Quantum Information Sensing and Processing Shanghai Jiao Tong University Shanghai Key Laboratory of Aerospace Intelligent Control Technology Shanghai Institute of Spaceflight Control Technology College of Information Science and Technology Northwest University

We propose a new framework combining weak measurement and second-order correlated technique. The theoretical analysis shows that weak value amplification （WVA） experiment can also be implemented by a second-order correlated system. We then build two-dimensional second-order correlated function patterns for achieving higher amplification factor and discuss the signal-to-noise ratio influence. Several advantages can be obtained by our proposal. For instance, detectors with high resolution are not necessary. Moreover, detectors with low saturation intensity are available in WVA setup. Finally, type-one technical noise can be effectively suppressed.

关键词： weak measurement two-dimensional second-order correlated function

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Research on Chinese Semantic Role Labeling Based on Binary Strategy

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Journal of Physics: Conference Series 2018年第2期1087卷

作者： Yicheng Wang Ning Ma Fucheng Wan Lei Hao Key Laboratory of National language intelligent processing Gansu Province Lanzhou 730030 Key Lab of China's National Linguistic Information Technology Lanzhou 730030

Chinese SRL(Semantic Role Labeling) is a cutting-edge technology in the field of Chinese information processing. Now it has become one of the hottest research areas in Chinese information processing research. In this paper, based on the analysis of the previous SRL theory, the Chinese SRL technology, the comparison of advantages and disadvantages, this paper classifies and discusses the basic algorithm ideas of Chinese SRL. At the same time, the thinking on the SRL system is formed and a Chinese SRL system based on the binary strategy is proposed. The system adopts a binary strategy SRL method, combined with a statistical method based on linear feature combination research, fusion of Chinese short-sentence analysis of the study, to achieve a binary strategy-based Chinese SRL system design and construction. Through the experimental comparison, it is proved that the SRL system based on the binary strategy has a good annotation effect.

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Solving Graph Coloring Problem Using Parallel Discrete Particle Swarm Optimization on CUDA

Solving Graph Coloring Problem Using Parallel Discrete Parti...

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2017 2nd International Conference on Applied Mathematics, Simulation and Modelling(AMSM2017)

作者： Ze-shu RAO Wan-ying ZHU Kai ZHANG School of Computer Science Wuhan University of Science and Technology Hubei Province Key Laboratory of Intelligent Information Processing and Real-time Industrial System

The graph coloring problem is one of the most well-known combinatorial optimization *** can be widely used in many ***,it is very difficult to find the global optimal solutions from exponential candidate *** this paper,a parallel discrete particle swarm optimization algorithm based on compute unified device architecture(CUDA) is proposed to solve the graph coloring *** millions of CUDA-enabled GPUs,the algorithm can calculate the fitness function and update particles velocities and positions in *** order to validate the effectiveness and efficiency of the proposed algorithm,some computational experiments are conducted on DIMACS benchmark *** experiments results show that our algorithm provides competitive results and running time when compared with existing techniques on DIMACS instances.

关键词： Particle swarm optimization Graph coloring CUDA

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Proxy-based Sliding Mode Stabilization of a Class of Second-order Nonlinear System

Proxy-based Sliding Mode Stabilization of a Class of Second-...

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Asian Control Conference

作者： Guangzheng Ding Jian Huang Bin Hu Zhi-Hong Guan Key Laboratory of Ministry of Education for Image Processing and Intelligent Control Huazhong University of Science and Technology Wuhan Hubei P.R. China

ISBN: (纸本)9781509015740;9781509015733

The essential feature of conventional proxy-based sliding mode control (PSMC) method is the introduction of a proxy, which is controlled by a normal sliding mode control (SMC) approach to track the desired trajectory. Both the safety problem in conventional stiff position control and the chattering problem in the SMC are overcome by the PSMC strategy. Meanwhile, the stability problem of PSMC is not well addressed for general nonlinear systems. In this paper, a new PSMC method is proposed for robust tracking control of a class of second-order nonlinear systems. A PD type virtual coupling is used and a specified sliding mode controller is designed in the proposed PSMC method. Based on the model of a class of second-order nonlinear systems, the stability of the closed-loop PSMC system is proved by Lyapunov theorem. Numerical simulations were carried out to verify the propose method.

关键词： Nonlinear systems Force Couplings Stability analysis Robustness Sliding mode control Safety

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