In this paper, we proposed a lightweight approach of hand gesture recognition for appliance control system, which is a new corner based detector with skin detection and foreground extraction. The skin detection is use...
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In this paper, we proposed a lightweight approach of hand gesture recognition for appliance control system, which is a new corner based detector with skin detection and foreground extraction. The skin detection is used as a preprocessing segmentation, and motion based foreground extraction for hand segmentation is also applied to make it more accuracy in variation of light condition, contrast between skin and circumstance. After hand segmentation is done, light-weight corner based recognition is used to recognize the meaning of hand gesture. The performance and computational complexity is evaluated at last as well. The experiments shown our approach has the advantages over the conventional hand gesture recognition.
In the existing adaptively secure ABE (attribute-based encryption) schemes, the decryption cost goes linearly with the number of attributes that are used in decryption. An adaptively secure key-policy ABE (FKP-ABE) sc...
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Landslide prediction is always the emphasis of landslide research. Using global positioning system GPS technologies to monitor the superficial displacements of landslide is a very useful and direct method in landslide...
Landslide prediction is always the emphasis of landslide research. Using global positioning system GPS technologies to monitor the superficial displacements of landslide is a very useful and direct method in landslide evolution analysis. In this paper, an EEMD–ELM model [ensemble empirical mode decomposition (EEMD) based extreme learning machine (ELM) ensemble learning paradigm] is proposed to analysis the monitoring data for landslide displacement prediction. The rainfall data and reservoir level fluctuation data are also integrated into the study. The rainfall series, reservoir level fluctuation series and landslide accumulative displacement series are all decomposed into the residual series and a limited number of intrinsic mode functions with different frequencies from high to low using EEMD technique. A novel neural network technique, ELM, is employed to study the interactions of these sub-series at different frequency affecting landslide occurrence. Each sub-series extracted from accumulative displacement of landslide is forecasted respectively by establishing appropriate ELM model. The final prediction result is obtained by summing up the calculated predictive displacement value of each sub. The EEMD–ELM model shows the best accuracy comparing with basic artificial neural network models through forecasting the displacement of Baishuihe landslide in the Three Gorges reservoir area of China.
This paper presents a multi-interface embedded server architecture for remote real-time monitoring system and distributed monitoring applications. In the scheme,an embedded microprocessor( LPC3250 from NXP) is chosen ...
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This paper presents a multi-interface embedded server architecture for remote real-time monitoring system and distributed monitoring applications. In the scheme,an embedded microprocessor( LPC3250 from NXP) is chosen as the CPU of the embedded server with a linux operation system( OS) environment. The embedded server provides multiple interfaces for supporting various application scenarios. The whole network is based on local area network and adopts the Browser / Server( B / S) model. The monitoring and control node is as a browser endpoint and the remote node with an embedded server is as a server endpoint. Users can easily acquire various sensors information through writing Internet protocol address of remote node on the computer browser. Compared with client / server( C / S) mode,B / S model needs less maintain and can be applicable to large user group. In addition,a simple network management protocol( SNMP) is used for management of devices in Internet protocol( IP) networks. The results of the demonstration experiment show that the proposed system gives good support to manage the network from different user terminals and allows the users to better interact with the ambient environment.
This paper introduces a systematic approach to synthesize linear parameter-varying (LPV) representations of nonlinear (NL) systems which are originally defined by control affine state-space representations. The conver...
This paper introduces a systematic approach to synthesize linear parameter-varying (LPV) representations of nonlinear (NL) systems which are originally defined by control affine state-space representations. The conversion approach results in LPV state-space representations in the observable canonical form. Based on the relative degree concept of NL systems, the states of a given NL representation are transformed to new coordinates that provide its normal form. In the SISO case, all nonlinearities of the original system are embedded in one NL function which is factorized to construct the LPV form. An algorithms is proposed for this purpose. The resulting transformation yields an LPV model where the scheduling parameter depends on the derivatives of the inputs and outputs of the system. In addition, if the states of the NL model can be measured or estimated, then the procedure can be modified to provide LPV models scheduled by these states. Examples are included for illustration.
We discuss the problem of discovering changes in evolving XML schemas. Schema evolution is a natural, unavoidable phenomenon in contemporary data systems, that impacts both data transformation and query rewriting. We ...
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ISBN:
(纸本)9783642323348
We discuss the problem of discovering changes in evolving XML schemas. Schema evolution is a natural, unavoidable phenomenon in contemporary data systems, that impacts both data transformation and query rewriting. We propose a rule-based algorithm that determines matched and unmatched schema elements thereby identifying changes in a schema under consideration. Additionally, we develop a method for computing edit distance in terms of some schema operations (insertion, deletion, renaming, and translocation). In result, we are able to obtain a set of operations which transform a given schema into the modified (target) form. The proposed algorithms have been fully implemented.
This paper presents a framework for the nonlinear control of dual-stage actuators (DSA). Motivated by various nonlinear controllers that make use of sector bounded and £ ∞ nonlinearities for the control of satur...
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This paper presents a framework for the nonlinear control of dual-stage actuators (DSA). Motivated by various nonlinear controllers that make use of sector bounded and £ ∞ nonlinearities for the control of saturated linear systems, a methodology for integrating such nonlinear functions in order to improve the performance of DSA is presented. The stability of the closed-loop system is assessed by casting the nonlinearities in a mixed sector-bounded plus quasi-Linear Parameter Varying (LPV) framework, leading to a set of linear matrix inequalities (LMIs) to be satisfied by the controller parameters. Taking advantage of the developed framework, a new £ ∞ function is proposed to avoid the saturation of the secondary actuator. Simulation results illustrate the validity of the proposed framework and its potential for the performance improvement of DSA.
This is a milestone paper of the Coordinating Committee on Manufacturing and Logistics Systems (CC5) of the International Federation of Automatic control (IFAC). Classical applications of controlengineering and infor...
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This is a milestone paper of the Coordinating Committee on Manufacturing and Logistics Systems (CC5) of the International Federation of Automatic control (IFAC). Classical applications of controlengineering and information and communication technology (ICT) in production and logistics are often done in a rigid, centralized and hierarchical way. These inflexible approaches are typically not able to cope with the complexities of the manufacturing environment, such as the instabilities, uncertainties and abrupt changes caused by internal and external disturbances, or a large number and variety of interacting, interdependent elements. A paradigm shift, e.g., novel organizing principles and methods, is needed for supporting the interoperability of dynamic alliances of agile and networked systems. Several solution proposals argue that the future of manufacturing and logistics lies in network-like, dynamic, open and reconfigurable systems of cooperative autonomous entities. The paper overviews various distributed approaches and technologies of controlengineering and ICT that can support the realization of cooperative structures from the resource level to the level of networked enterprises. Standard results as well as recent advances from control theory, through cooperative game theory, distributed machine learning to holonic systems, cooperative enterprise modelling, system integration, and autonomous logistics processes are surveyed. A special emphasis is put on the theoretical developments and industrial applications of Robustly Feasible Model Predictive control (RFMPC). Two case studies are also discussed: i) a holonic, PROSA-based approach to generate short-term forecasts for an additive manufacturing system by means of a delegate multi-agent system (D-MAS); and ii) an application of distributed RFMPC to a drinking water distribution system.
Wire bonder is important equipment in semiconductor end-package. The benefits of using force sensor are precisely force control and earlier contact detection. In this paper, we introduced an application of a force sen...
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In the very high cycle fatigue (VHCF) regime, fatigue damage starts by the formation of slip bands within the softer austenite phase. By high energy X-ray diffraction it was shown that local austenite plasticity due t...
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In the very high cycle fatigue (VHCF) regime, fatigue damage starts by the formation of slip bands within the softer austenite phase. By high energy X-ray diffraction it was shown that local austenite plasticity due to elastic/plastic anisotropy results in the gradual formation of residual stresses within the ferrite grains. Consequently, cracks are initiated either transgranularly or intergranularly at austenite/ferrite phase boundaries or ferrite/ferrite grain boundaries in the vicinity of the austenite slip bands. By means of ultrasonic fatigue testing of miniature specimens in combination with (i) in-situ observation, (ii) electron back- scatter diffraction, (iii) synchrotron computer tomography, and (vi) high-energy X-ray diffraction, the fatigue crack initiation process and the interactions of the cracks with the first microstructural barriers were quantified. By implementing the results in a numerical modeling approach, the experimental observation that the first barrier seems to limit the VHCF life was supported.
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