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Achieving modulated oscillations by feedback control

Physical Review E 2014年第2期90卷 022909-022909页

作者： Tian Ge Xiaoying Tian Jürgen Kurths Jianfeng Feng Wei Lin School of Mathematical Sciences Centre for Computational Systems Biology Fudan University Shanghai 200433 China and Key Laboratory of Mathematics for Nonlinear Sciences (Fudan University) Ministry of Education China Department of Computer Science University of Warwick Coventry CV4 7AL United Kingdom Potsdam Institute for Climate Impact Research D-14412 Potsdam Germany Department of Physics Humboldt University of Berlin D-12489 Berlin Germany Department of Control Theory Nizhny Novgorod State University Gagarin Avenue 23 606950 Nizhny Novgorod Russia

In this paper, we develop an approach to achieve either frequency or amplitude modulation of an oscillator merely through feedback control. We present and implement a unified theory of our approach for any finite-dimensional continuous dynamical system that exhibits oscillatory behavior. The approach is illustrated not only for the normal forms of dynamical systems but also for representative biological models, such as the isolated and coupled FitzHugh-Nagumo model. We demonstrate the potential usefulness of our approach to uncover the mechanisms of frequency and amplitude modulations experimentally observed in a wide range of real systems.

关键词： OSCILLATIONS FEEDBACK control systems AMPLITUDE modulation DYNAMICAL systems BIOLOGICAL models

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Converting continuous-space language models into N-gram language models for statistical machine translation

Converting continuous-space language models into N-gram lang...

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2013 Conference on Empirical Methods in Natural Language Processing, EMNLP 2013

作者： Wang, Rui Utiyama, Masao Goto, Isao Sumita, Eiichro Zhao, Hai Lu, Bao-Liang Center for Brain-Like Computing and Machine Intelligence Department of Computer Science and Engineering Shanghai Jiao Tong Unviersity Shanghai200240 China Multilingual Translation Laboratory MASTAR Project National Institute of Information and Communications Technology 3-5 Hikaridai Keihanna Science City Kyoto619-0289 Japan MOE-Microsoft Key Lab. for Intelligent Computing and Intelligent Systems Shanghai Jiao Tong Unviersity Shanghai200240 China

ISBN: (纸本)9781937284978

Neural network language models, or continuous-space language models (CSLMs), have been shown to improve the performance of statistical machine translation (SMT) when they are used for reranking n-best translations. However, CSLMs have not been used in the first pass decoding of SMT, because using CSLMs in decoding takes a lot of time. In contrast, we propose a method for converting CSLMs into back-off n-gram language models (BNLMs) so that we can use converted CSLMs in decoding. We show that they outperform the original BNLMs and are comparable with the traditional use of CSLMs in reranking. © 2013 Association for Computational Linguistics.

关键词： Decoding

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LBRM algorithm for rule extraction based on rough membership

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2013 3rd International Symposium on Chemical Engineering and Material Properties, ISCEMP 2013

作者： Zhang, Xian Yong Miao, Duo Qian College of Mathematics and Software Science Sichuan Normal University Chengdu Sichuan 610068 China Department of Computer Science and Technology Tongji University Shanghai 201804 China The Key Laboratory of Embedded System and Service Computing Ministry of Education Tongji University Shanghai 201804 China

ISBN: (纸本)9783037858363

Rule extraction is a main goal for rough set theory. This paper mainly constructs a new algorithm (LBRM Algorithm) for rule extraction based on rough membership. The confidence principle is established based on rough membership. Thus, LBRM Algorithm is proposed by utilizing discretization and clearness strategies under the fuzzy environment, and is applied to both interval rules and general rules in fuzzy classification. LBRM Algorithm effectiveness is illustrated by a medical example. In particular, LBRM Algorithm integrates the confidence on both previous LBR Algorithm and fundamental rough membership, and has some improvements on rule confidence. © (2013) Trans Tech Publications, Switzerland.

关键词： Rough set theory

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Dynamic bandwidth allocation&guarantee for virtualized networks in cloud

Dynamic bandwidth allocation&guarantee for virtualized netwo...

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9th International Conference on Information, Communications and Signal Processing, ICICS 2013

作者： Luo, Xuan Zhang, Pengfei Ye, Tong Jin, Yaohui Wang, Jianping Network and Information Center Shanghai Jiaotong University China State Key Laboratory of Advanced Optical Communication Systems and Networks Shanghai Jiaotong University China Department of Computer Science City University of Hong Kong Hong Kong

ISBN: (纸本)9781479904341

Among all SLAs(Service Level Agreements) about network resources in the cloud, a critical problem would be achieving bandwidth guarantee under all communication environment (e.g., when misbehaved VMs exist) while keeping acceptable bandwidth utility and system scalability. In this paper, we present an architecture of dynamic bandwidth allocation and guarantee on resource fairness, to provide network performance isolation and protocol independent bandwidth guarantees. In this paper, we first discuss the business model of bandwidth guarantee for Infrastructure-as-a-Service (IaaS) cloud, and a bandwidth allocation algorithm based on redefined fairness model is proposed and realized under the novel architecture, and finally experiment shows satisfying results under various communication scenarios. © 2013 IEEE.

关键词： Bandwidth

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Genetic Programming Using Dynamic Population Variation for Computational Efforts Reduction in System Modeling

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Journal of shanghai Jiaotong university(science) 2012年第2期17卷 190-196页

作者：陶砚蕴曹健李明禄 Department of Computer Science and Engineering Shanghai Jiaotong University Shanghai Key Laboratory of Scalable Computing and System

In this paper,we propose genetic programming(GP) using dynamic population variation(DPV) with four innovations for reducing computational efforts.A new stagnation phase definition and characteristic measure are defined for our *** exponential pivot function is proposed to our DPV method in conjunction with the new stagnation phase *** appropriate population variation formula is suggested to accelerate *** efficacy of these innovations in our DPV is examined using six benchmark *** among the difierent characteristic measures has been conducted for regression problems and the new proposed measure outperformed other *** is proved that our DPV has the capacity to provide solutions at a lower computational effort compared with previously proposed DPV methods and standard genetic programming in most ***,our DPV approach introduced in GP could also rapidly find an excellent solution as well as standard GP in system modeling problems.

关键词： dynamic population variation(DPV) stagnation phase exponential pivot function computational effort average number of evaluation diversity

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Cluster synchronization of nonlinearly coupled networks via periodically intermittent pinning control

Cluster synchronization of nonlinearly coupled networks via ...

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Chinese Control Conference (CCC)

作者： Xiwei Liu Jiujun Cheng Department of Computer Science and Technology the Key Laboratory of Embedded System and Service Computing Ministry of Education Tongji University Shanghai China Department of Computer Science and Technology the Key Laboratory of Embedded System Service Computing Shanghai China

In this paper, the cluster synchronization problem for nonlinearly coupled networks under periodically intermittent pinning control is studied. At first, a sufficient condition to guarantee cluster synchronization is presented. Next, an adaptive intermittent control algorithm is designed to the control strength and its validity is rigorously proved. Finally, some numerical examples are presented to demonstrate the correctness of obtained theoretical results.

关键词： Synchronization Couplings Symmetric matrices Adaptive systems Educational institutions Equations Neural networks

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An empirical study on word segmentation for Chinese machine translation 1

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14th Annual Conference on Intelligent Text Processing and Computational Linguistics, CICLing 2013

作者： Zhao, Hai Utiyama, Masao Sumita, Eiichiro Lu, Bao-Liang MOE-Microsoft Key Laboratory of Intelligent Computing and Intelligent System Shanghai Jiao Tong University #800 Dongchuan Road Shanghai 200240 China Department of Computer Science and Engineering Shanghai Jiao Tong University #800 Dongchuan Road Shanghai 200240 China Multilingual Translation Laboratory MASTAR Project National Institute of Information and Communications Technology 3-5 Hikaridai Keihanna Science City Kyoto 619-0289 Japan

ISBN: (数字)9783642372568

ISBN: (纸本)9783642372551

Word segmentation has been shown helpful for Chinese-to-English machine translation (MT), yet the way different segmentation strategies affect MT is poorly understood. In this paper, we focus on comparing different segmentation strategies in terms of machine translation quality. Our empirical study covers both English-to-Chinese and Chinese-to-English translation for the first time. Our results show the necessity of word segmentation depends on the translation direction. After comparing two types of segmentation strategies with associated linguistic resources, we demonstrate that optimizing segmentation itself does not guarantee better MT performance, and segmentation strategy choice is not the key to improve MT. Instead, we discover that linguistical resources such as segmented corpora or the dictionaries that segmentation tools rely on actually determine how word segmentation affects machine translation. Based on these findings, we propose an empirical approach that directly optimize dictionary with respect to the MT task for word segmenter, providing a BLEU score improvement of 1.30. © 2013 Springer-Verlag.

关键词： Machine translation

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NEURAL SUBSTRATES OF MOTOR IMAGERY BASED BRAIN-computer INTERFACE TRAINING FOR STROKE PATIENTS WITH SEVERE UPPER LIMB PARALYSIS

NEURAL SUBSTRATES OF MOTOR IMAGERY BASED BRAIN-COMPUTER INTE...

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第七届国际物理医学与康复医学学术大会(7th World Congress of the international society of Physical and Rehabilitation Medicine(ISPRM2013)

作者： Mingfen Li Jie Jia Ye Liu Department of Rehabilitation Huashan Hospital Fudan University MOE-Microsoft Key Laboratory for Intelligent Computing and Intelligent Systems Department of Computer Science and Engineering Shanghai Jiao Tong University China

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Manhattan hashing for large-scale image retrieval 12

Manhattan hashing for large-scale image retrieval

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35th Annual ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2012

作者： Kong, Weihao Li, Wu-Jun Guo, Minyi Shanghai Key Laboratory of Scalable Computing and Systems Department of Computer Science and Engineering Shanghai Jiao Tong University Shanghai China

ISBN: (纸本)9781450316583

Hashing is used to learn binary-code representation for data with expectation of preserving the neighborhood structure in the original feature space. Due to its fast query speed and reduced storage cost, hashing has been widely used for efficient nearest neighbor search in a large variety of applications like text and image retrieval. Most existing hashing methods adopt Hamming distance to measure the similarity (neighborhood) between points in the hashcode space. However, one problem with Hamming distance is that it may destroy the neighborhood structure in the original feature space, which violates the essential goal of hashing. In this paper, Manhattan hashing (MH), which is based on Manhattan distance, is proposed to solve the problem of Hamming distance based hashing. The basic idea of MH is to encode each projected dimension with multiple bits of natural binary code (NBC), based on which the Manhattan distance between points in the hashcode space is calculated for nearest neighbor search. MH can effectively preserve the neighborhood structure in the data to achieve the goal of hashing. To the best of our knowledge, this is the first work to adopt Manhattan distance with NBC for hashing. Experiments on several large-scale image data sets containing up to one million points show that our MH method can significantly outperform other state-of-the-art methods. © 2012 ACM.

关键词： Hamming distance

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Energy efficient allocation of virtual machines in cloud computing environments based on demand forecast

Energy efficient allocation of virtual machines in cloud com...

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7th International Conference on Advances in Grid and Pervasive computing, GPC 2012

作者： Cao, Jian Wu, Yihua Li, Minglu Shanghai Key Laboratory of Scalable Computing and Systems Department of Computer Science and Engineering Shanghai Jiao Tong University Shanghai China

ISBN: (纸本)9783642307669

In cloud computing environments, demands from different users are often handled on virtual machines (VMs) which are deployed over plenty of hosts. Huge amount of electrical power is consumed by these hosts and auxiliary infrastructures that support them. However, demands are usually time-variant and of some seasonal pattern. It is possible to reduce power consumption by forecasting varying demands periodically and allocating VMs accordingly. In this paper, we propose a power-saving approach based on demand forecast for allocation of VMs. First of all, we forecast demands of next period with Holt-Winters' exponential smoothing method. Second, a modified knapsack algorithm is used to find the appropriate allocation between VMs and hosts. Third, a self-optimizing module updates the values of parameters in Holt-Winters' model and determines the reasonable forecast frequency. We carried out a set of experiments whose results indicate that our approach can reduce the frequency of switching on/off hosts. In comparison with other approaches, this method leads to considerable power saving for cloud computing environments. © 2012 Springer-Verlag.

关键词： Electric power utilization

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