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Journal of Software 2012年第8期7卷 1727-1737页

作者： Xiong, Gang Dong, XiSong Liu, XiWei Nyberg, Timo R. State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences Beijing 100190 China BIT Research Centre Aalto University Aalto Finland

Global manufacturing enterprises meet a lot of challenges on enterprise level, plant level and shop floor level. To solve those challenges, a kind of real- time Manufacturing Integration and Intelligence (Mil) solution is proposed, and its standard interfaces with ERP modules and shop floor systems, standard integration functionalities, and typical use cases and typical benefits, are described. By using of the practical project executed in one global chemical company as background, the paper introduces the project's "AS IS" situation, and "TO BE" target. Then, the Mil solution is discussed in more detail, including its business scope, customer requirements, server selection, high availability solution, core technologies, and its main functions: load;unload;transfer;special instruction;inventory;blending;KPI dashboard. The tactical benefits, which have been made for the customer with the Mil solution, are summarized. Finally, some conclusions are drawn out. © 2012 ACADEMY PUBLISHER.

关键词： Blending

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A virtual plant that responds to the environment like a real one: the case for chrysanthemum

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NEW PHYTOLOGIST 2012年第2期195卷 384-395页

作者： Kang, MengZhen Heuvelink, Ep Carvalho, Susana M. P. de Reffye, Philippe Chinese Acad Sci Inst Automat LIAMA State Key Lab Management & Control Complex Syst Beijing 100190 Peoples R China Wageningen Univ Hort Supply Chains Grp NL-6700 AP Wageningen Netherlands Portuguese Catholic Univ CBQF Coll Biotechnol P-4200072 Porto Portugal Cirad Amis UMR AMAP F-34398 Montpellier 5 France

Plants respond to environmental change through alterations in organ size, number and biomass. However, different phenotypes are rarely integrated in a single model, and the prediction of plant responses to environmental conditions is challenging. The aim of this study was to simulate and predict plant phenotypic plasticity in development and growth using an organ-level functionalstructural plant model, Greenlab. Chrysanthemum plants were grown in climate chambers in 16 different environmental regimes: four different temperatures (15, 18, 21 and 24 degrees C) combined with four different light intensities (40%, 51%, 65% and 100%, where 100% is 340 mu mol m-2 s-1). Measurements included plant height, flower number and major organ dry mass (main and side-shoot stems, main and side-shoot leaves and flowers). To describe the basipetal flowering sequence, a position-dependent growth delay function was introduced into the model. The model was calibrated on eight treatments. It was capable of simulating multiple plant phenotypes (flower number, organ biomass, plant height) with visual output. Furthermore, it predicted well the phenotypes of the other eight treatments (validation) through parameter interpolation. This model could potentially serve to bridge models of different scales, and to link energy input to crop output in glasshouses.

关键词： Chrysanthemum morifolium Ramat functional-structural plant model Greenlab model calibration secondary growth sink-source ratio validation virtual plant

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Reinforcement Learning control Based on Multi-Goal Representation Using Hierarchical Heuristic Dynamic Programming

Reinforcement Learning Control Based on Multi-Goal Represent...

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International Joint Conference on Neural Networks (IJCNN)

作者： Ni, Zhen He, Haibo Zhao, Dongbin Prokhorov, Danil V. Univ Rhode Isl Dept Elect Comp & Biomed Engn Kingston RI 02881 USA Chinese Acad Sci Inst Automat State Key Lab Management & Control Complex Syst Beijing 100864 Peoples R China Toyota Res Inst NA TTC Ann Arbor MI 48105 USA

ISBN: (纸本)9781467314909

We are interested in developing a multi-goal generator to provide detailed goal representations that help to improve the performance of the adaptive critic design (ACD). In this paper we propose a hierarchical structure of goal generator networks to cascade external reinforcement into more informative internal goal representations in the ACD. This is in contrast with previous designs in which the external reward signal is assigned to the critic network directly. The ACD control system performance is evaluated on the ball-and-beam balancing benchmark under noise-free and various noisy conditions. Simulation results in the form of a comparative study demonstrate effectiveness of our approach.

关键词： Reinforcement learning

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An efficient FPRAS type group testing procedure to approximate the number of defectives

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Journal of Combinatorial Optimization 2012年第2期27卷 302-314页

作者： Cheng, Yongxi Xu, Yinfeng School of Management Xi’an Jiaotong University Xi’an China State Key Lab for Manufacturing Systems Engineering Xi’an China Ministry of Education Key Lab for Process Control & Efficiency Engineering Xi’an China

In many fault detection problems, we want to detect or identify defective items in a sample set by using the minimum number of tests. Group testing is for the scenario where each test is on a subset of items, and tells whether the subset contains at least one defective item or not. Another practically important problem is to estimate the number of defective items in a sample set. In this paper, we present an efficient FPRAS (fully polynomial-time randomized approximation scheme) type group testing procedure to approximate the number of defective items in a sample set.

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The research on micro-blog public opinion index and the application of prototype system

The research on micro-blog public opinion index and the appl...

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IEEE International Conference on Networking, Sensing and control

作者： Hao Lu Yanwu Yang Runsheng Gan Nan Zhang State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences Beijing China Chinese Association of Automation Beijing China

The micro-blogs, as a new social media, possesses big differences with other social media on the aspect of information updating frequency, organization structure, user connection and etc, which have astonishing power of convergence and penetration. Based on this, it is proposed in this paper that Micro-Blog Public Opinion Index (MBPOI), which consists of five sub-indexes QI, II, RI, PI and CI (Quantity Index, Intensity Index, Relation Index, Polarity Index, Confidence Index) multi-dimensionally, is used to measure and evaluate the public topics and issues discussed in the micro-blogs. In the meanwhile, taking “ABB automatic world 2011” activity as example, the MBPOI prototype system is verified; it has been shown from the results that the MBPOI, which uses five sub-indexes method, owns much better effect by quantifying the topics/issues' influence in multi-dimensions and multi-levels, and provides effective micro-blogs analysis reports for monitoring and tracking the “ABB automatic world 2011” activity.

关键词： Indexes Blogs Monitoring Automation Media Data mining Social network services

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A Energy Balanced Deployment for Linear Wireless Sensor Networks

A Energy Balanced Deployment for Linear Wireless Sensor Netw...

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International Conference on Computer Science and Network Technology (ICCSNT)

作者： Wang, Zhengjie Zhao, Xiaoguang Qian, Xu Shandong Univ Sci & Technol Coll Informat & Elect Engn Qingdao Peoples R China Chinese Acad Sci Inst Automat State Key Lab Management & Control Complex Syst Beijing Peoples R China China Univ Mining & Technol Sch Mech Elect & Info Engn Beijing Peoples R China

ISBN: (纸本)9781457715846

Linear wireless sensor networks are characterized by a linear topology and multihop forwarding patterns. Sensors closer to the base station are usually required to forward a large amount of traffic for sensors farther from the base station, leading to the environment cannot be effectively monitored. The energy consumption balance is achieved in the paper by adjusting the distance between nodes. The distance of nodes near the base station become short because they have to forward the more traffic. The node deployment is converted to optimization problems of distance distribution between nodes. The network lifetime under different number of forwarding region is discussed. Simulation results show that this deployment strategy obtains the energy consumption balance.

关键词： wireless sensor networks optimal communication distance energy consumption balance distance optimal

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Business model transformation as an explanation of dramatic demand-supply change events

Business model transformation as an explanation of dramatic ...

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2012 IEEE International Conference on Service Operations and Logistics, and Informatics, SOLI 2012

作者： Tuomisaari, Hannu Nyberg, Timo Karjalainen, Jesse Mäkelin, Matti Ou, Jin Ma, Hongze Xiong, Gang Tynjälä, Teemu Business Innovation and Technology Research Unit School of Science Aalto University Espoo Finland Stora Enso Timber Ltd. Helsinkiy Finland Accenture Helsinki Finland State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences Beijing China Nokia Corporation Helsinki Finland

ISBN: (纸本)9781467324007

This paper discusses Business Model transformation in corporate turnaround events. This is accomplished with a Business Model Framework and by studying a set of cases, where demand-supply constellation has dramatically changed. The cases are from Finland (Nokia) and China (Baidu). A fourth case compares two business models with each other that existed simultaneously, but in different parts of the world. © 2012 IEEE.

关键词： Oceanography

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Rigid or Flexible? A New Navigation Approach for Better Consumer Service Based on Knowledge Enhancement

Rigid or Flexible? A New Navigation Approach for Better Cons...

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IEEE International Conference on Data Mining Workshops (ICDM Workshops)

作者： Hongyun Bao Qiudan Li Daniel Zeng Heng Gao Institute of Automation Chinese Academy of Sciences Beijing Beijing CN State Key Laboratory of Management and Control for Complex Systems Chinese Academy of Sciences Beijing China

With the rapid development of the Internet and E-commerce, online shopping sites are becoming a popular platform for products selling. Shopping sites such as ***, *** provide consumers with a hierarchical navigation for selecting products easily from overwhelming amount of products. However, those man-made navigations are so general and professional that consumers still need to spend much time in filtering out their own undesired products personally. Shopping sites provide abundant textual product descriptions for most products, which describes the details of the product. In this paper, we propose a novel model to build a topic hierarchy from the detailed product descriptions, which can automatically model words into a tree structure by hierarchical Latent Dirichlet Allocation (hLDA), besides, our model can also augment words level allocations with the conceptual relation between words in WordNet automatically. Each node in the hierarchical tree contains some relevant keywords of product descriptions, thus clarifying the meaning of the concept in the node. Therefore, consumers can pick out their interested products by using the discovered descriptive and valuable navigation of products. The experimental results on ***, one of the most popular shopping sites in America, demonstrate the efficiency and effectiveness of our proposed model.

关键词： Resource management Navigation Knowledge based systems Books Buildings Vectors Software

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Simulating Plant Plasticity under Light Environment: A Source-Sink Approach

Simulating Plant Plasticity under Light Environment: A Sourc...

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IEEE International Symposium on Plant Growth Modeling, Simulation, Visualization and Applications

作者： Haoyu Wang Mengzhen Kang Jing Hua LIAMA Institute of Automation Chinese Academy of Sciences China State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences China

Simulation of plant structure competing for light source has mostly been done by directly modifying plant structure according to light interception. Functional-structural plant models, however, emphasize the influence of light interception on biomass production, and consequently plant structure. In this paper, we integrate a light distribution model with Greenlab model, which used Beer-Law in computing biomass production. By replacing Beer-Law with a light interception model for biomass production, the combined model was able to simulate the effect of light condition on plant structure through source-sink regulation. The positive and negative sides of this approach are discussed.

关键词： Plant Growth Light Environment Source-Sink Photon Mapping

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Neural and Fuzzy Dynamic Programming for Under-actuated systems

Neural and Fuzzy Dynamic Programming for Under-actuated Syst...

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International Joint Conference on Neural Networks

作者： Dongbin Zhao Yuanheng Zhu Haibo He State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences Department of Electrical Computer and Biomedical Engineering University of Rhode Island

ISBN: (纸本)9781467314886

This paper aims to integrate the fuzzy control with adaptive dynamic programming (ADP) scheme, to provide an optimized fuzzy control performance, together with faster convergence of ADP for the help of the fuzzy prior knowledge. ADP usually consists of two neural networks, one is the Actor as the controller, the other is the Critic as the performance evaluator. A fuzzy controller applied in many fields can be used instead as the Actor to speed up the learning convergence, because of its simplicity and prior information on fuzzy membership and rules. The parameters of the fuzzy rules are learned by ADP scheme to approach optimal control performance. The feature of fuzzy controller makes the system steady and robust to system states and uncertainties. Simulations on under-actuated systems, a cart-pole plant and a pendubot plant, are implemented. It is verified that the proposed scheme is capable of balancing under-actuated systems and has a wider control zone.

关键词： Adaptive dynamic programming Fuzzy control Neural network Underactutaed system Cart-pole plant Pendubot

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