检索结果-内蒙古大学图书馆

Contaminant detection in urban water distribution networks using chlorine measurements

7th International Workshop on Critical Information Infrastructures Security, CRITIS 2012

作者： Eliades, Demetrios G. Polycarpou, Marios M. KIOS Research Center for Intelligent Systems and Networks Department of Electrical and Computer Engineering University of Cyprus CY-1678 Nicosia Cyprus

ISBN: (纸本)9783642414848

In this work we present a contamination detection methodology for water distribution networks. The proposed detection method is based on chlorine sensor measurements, which are compare to certain computed upper and lower periodic bounds. The bounds are computed using randomized simulations aimed at capturing the variations in chlorine concentration due to the significant uncertainty in the water demand patterns, average nodal consumptions, roughness parameters and reaction coefficients. The proposed method is applied to a set of high-impact contamination fault scenarios using a benchmark distribution network, for which on-line chlorine concentration sensors are assumed to have been installed at certain locations following an optimization procedure. The results indicate that by using the periodic bounds computed from the randomized simulations, for the proposed benchmark, contamination events are detected within reasonable time. © 2013 Springer-Verlag.

关键词： Water quality

来源：评论

学校读者我要写书评

暂无评论

3D Printing: Electrodeposition-based 3D Printing of Metallic Microarchitectures with Controlled Internal Structures (Small 32/2015)

引用

Small 2015年第32期11卷

作者： Seung Kwon Seol Daeho Kim Sanghyeon Lee Jung Hyun Kim Won Suk Chang Ji Tae Kim Nano Hybrid Technology Research Center Korea Electrotechnology Research Institute (KERI) Changwon-si Gyeongsangnam-do 642-120 South Korea Electrical Functional Material Engineering Korea University of Science and Technology Changwon-si Gyeongsangnam-do 642-120 South Korea Department of Electronics and Computer Engineering Hanyang University Seoul 133-791 South Korea Max Planck Institute for Intelligent Systems Heisenbergstrasse 3 Stuttgart 70569 Germany

来源：评论

学校读者我要写书评

暂无评论

Rank order kernels for the classification of raman spectra of bacteria

Rank order kernels for the classification of raman spectra o...

引用

European Conference on Biomedical Optics, ECBO 2013

作者： Kyriakides, Alexandros Kastanos, Evdokia Hadjigeorgiou, Katerina Pitris, Costas Department of Electrical and Computer Engineering University of Cyprus Cyprus KIOS Research Center for Intelligent Systems and Networks Nicosia Cyprus Department of Life and Health Sciences University of Nicosia Cyprus

ISBN: (纸本)9780819496461

Bacterial identification is one of the applications for which classification using Raman spectra has proved to be successful. In this paper, we propose the use of Rank Order Kernels to classify Raman spectra in order to identify bacterial samples. Rank Order Kernels are two-dimensional image functions. The first step in the process transforms each Raman spectrum to a two-dimensional image. This is achieved by splitting the spectra into segments and calculating the ratio between the mean value of each and every other segment. The resulting two-dimensional matrix of ratios for each Raman spectrum is the image processed by the Rank Order Kernels. A similarity metric is used with a nearest neighbor algorithm for classification. The metric is based on rank order kernels. Our results show that the rank order kernel method is comparable in accuracy to other previously-used methods. © 2013 OSA-SPIE.

关键词： Raman scattering

来源：评论

学校读者我要写书评

暂无评论

Evolving systems: Disturbance accommodating adaptive key component control

Evolving systems: Disturbance accommodating adaptive key com...

引用

19th IFAC Symposium on Automatic Control in Aerospace, ACA 2013

作者： Balas, Mark J. Frost, Susan A. Department of Electrical and Computer Engineering University of Wyoming Laramie WY 82071 United States Intelligent Systems Division NASA Ames Research Center Moffett Field CA 94025 United States

ISBN: (纸本)9783902823465

This paper presents an introduction to Evolving systems, which are autonomously controlled subsystems which self-assemble into a new Evolved System with a higher purpose. Evolving systems of aerospace structures often require additional control when assembling to maintain stability during the entire evolution process. This is the concept of Adaptive Key Component Control which operates through one specific component to maintain stability during the evolution. In addition this control must overcome persistent disturbances that occur while the evolution is in progress. We present theoretical results for the successful operation of Adaptive Key Component control in the presence of such disturbances and an illustrative example. © IFAC.

关键词： Adaptive control systems

来源：评论

学校读者我要写书评

暂无评论

Path planning for localization of an RF source by multiple UAVs on the Crammer-Rao Lower Bound

Path planning for localization of an RF source by multiple U...

引用

RSI/ISM International Conference on robotics and Mechatronics (ICROM)

作者： Seyyed M. Mehdi Dehghan Mohammad Saberi Tavakkoli Hadi Moradi Advanced Robotics and Intelligent Systems laboratory Control and Intelligent Processing Center School of Electrical and Computer Engineering University of Tehran Tehran Iran

This paper presents a path planning approach of several UAVs for Radio Frequency (RF) source localization in None Line Of Sight (NLOS) propagation condition using the Received Signal Strength Indication (RSSI). The paths are planned such that the lower bound of standard deviation of localization error, which is equivalent to the Cramer-Rao Lower Bound (CRLB) of the estimation, minimized at any time. Due to the complexity of Jacobin calculation to perform global CRLB optimization, the local values of CRLBs in the current waypoint and next probable waypoints are used in the steepest decent approach to determine the best path. Furthermore, the complexity is reduced by discretizing the space for UAVs to make the computation feasible. The effect of NLOS propagation on the RSSI measurements is simulated by a log-normal distribution and the last estimation of radio source location is used to calculate the local CRLBs. The proposed approach has been simulated and compared with the basic bio-inspired approach of going toward the sensed direction of the source. The result shows better performance than the basic approach.

关键词： Jacobian matrices Noise

来源：评论

学校读者我要写书评

暂无评论

A multi-step Gaussian filtering approach to reduce the effect of non-Gaussian distribution in aerial localization of an RF source in NLOS condition

A multi-step Gaussian filtering approach to reduce the effec...

引用

RSI/ISM International Conference on robotics and Mechatronics (ICROM)

作者： Seyyed M. Mehdi Dehghan Hadi Moradi Advanced Robotics and Intelligent Systems laboratory Control and Intelligent Processing Center School of Electrical and Computer Engineering University of Tehran Tehran Iran

The hybrid localization using Angle of Arrival (AOA) and Received Strength Signal Indicator (RSSI) of an RF source, such as a cell phone in a search and rescue mission, with unknown power and None Line Of Sight (NLOS) condition have been proven to be advantageous compared to using each method separately. The hybrid approach has been proposed to benefit from both RSSI and AOA measurements. In this paper, the initial hybrid method, which was implemented using particle filters due to the multi-modal/non-Gaussian nature of localization in NLOS condition, has been replaced by a multi-step Gaussian filtering approach which provides nearly similar accuracy with better performance. The proposed method has been implemented using extended Kalman filter and Unscented Kalman filter. The simulation results show that the multi-step Gaussian filtering is comparable to particle filter in all cases with better performance. For further evaluation, the effects of uncertainty in the propagation parameters have been studied to show the robustness of each filter to these uncertainties.

关键词： Shadow mapping Atmospheric measurements Particle measurements Scattering Measurement uncertainty Particle filters Equations

来源：评论

学校读者我要写书评

暂无评论

Experimental Testing of a Traction Control System with On-line Road Condition Estimation for Electric Vehicles

Experimental Testing of a Traction Control System with On-li...

引用

Mediterranean Conference on Control & Automation

作者： Goran Vasiljevic Karlo Griparic Stjepan Bogdan LARICS - Laboratory for Robotics and Intelligent Control Systems Department of Control and Computer Engineering. Faculty of Electrical Engineering and Computing University of Zagreb

ISBN: (纸本)9781479909964

In this paper experimental results of testing slip-based traction control system (TCS) with an on-line road condition estimation are presented. TCS is designed for a car with in-wheel electric motors, so that estimation and control are implemented independently for each wheel thus enabling the optimal friction coefficient for every wheel, even if they are on different surfaces or have different tire characteristics. A road condition is approximated using a function which is estimated in the real-time and used as the input to the TCS. The design of the presented TCS is based on the wheel slip ratio, controlled to it's optimal value by a PI controller and with the addition of a feedforward branch for the transition response speed up. System is tested on a newly developed experimental setup consisting of the wheel with embedded (in-wheel) motor rolling on the metal drum loaded by the second motor simulating car behaviour.

关键词： Traction Control systems Pavement condition Electric vehicles Wheels PI control coefficient of friction experimental test SLIP RATIO Cars Best value IN-LINE

来源：评论

学校读者我要写书评

暂无评论

Distributed Detection and Isolation of Sensor Faults in HVAC systems

Distributed Detection and Isolation of Sensor Faults in HVAC...

引用

Mediterranean Conference on Control & Automation

作者： Vasso Reppa Panayiotis Papadopoulos Marios M. Polycarpou Christos G. Panayiotou KIOS Research Center for Intelligent Systems and Networks Department of Electrical and Computer Engineering University of Cyprus

ISBN: (纸本)9781479909964

This paper presents the design of a methodology for distributed detection and isolation of multiple sensor faults in heating, ventilation and air-conditioning (HVAC) systems. The proposed methodology is developed in a distributed framework with the HVAC system modeled as a set of interconnected, nonlinear subsystems. A local sensor fault diagnosis (LSFD) agent is designed for each of the interconnected subsystems. The LSFD agent uses input and sensor output data of its underlying subsystem and it may exchange information with the neighboring agents. The distributed sensor fault detection is conducted using robust analytical redundancy relations, formulated by estimation-based residuals and adaptive thresholds. The distributed sensor fault isolation is carried out by combining the decisions of the LSFD agents and applying a reasoning-based decision logic. Simulation results are used for illustrating the effectiveness of the proposed methodology applied to a two-zone HVAC system.

关键词： High Voltage Alternating Current systems thermal relief vent SUB-SYSTEM distributed sensors Agents heating ventilation and air conditioning Sensors Defect detection Distribute faults

来源：评论

学校读者我要写书评

暂无评论

Marginalized denoising autoencoder via graph regularization for domain adaptation

Marginalized denoising autoencoder via graph regularization ...

引用

20th International Conference on Neural Information Processing, ICONIP 2013

作者： Peng, Yong Wang, Shen Lu, Bao-Liang Center for Brain-Like Computing and Machine Intelligence Department of Computer Science and Engineering Shanghai Jiao Tong Unviersity Shanghai 200240 China Department of Electrical Engineering and Computer Science University of Michigan Ann Arbor MI 48109 United States MoE-Microsoft Key Lab. for Intelligent Computing and Intelligent Systems Shanghai Jiao Tong Unviersity Shanghai 200240 China

ISBN: (纸本)9783642420412

Domain adaptation, which aims to learn domain-invariant features for sentiment classification, has received increasing attention. The underlying rationality of domain adaptation is that the involved domains share some common latent factors. Recently neural network based on Stacked Denoising Auto-Encoders (SDA) and its marginalized version (mSDA) have shown promising results on learning domain-invariant features. To explicitly preserve the intrinsic structure of data, this paper proposes a marginalized Denoising Autoencoders via graph Regularization (GmSDA) in which the autoencoder based framework can learn more robust features with the help of newly incorporated graph regularization. The learned representations are fed into the sentiment classifiers and experiments show that the GmSDA can effectively improve the classification accuracy when comparing with some state-of-the-art models on the cropped Amazon benchmark data set. © Springer-Verlag 2013.

关键词： Classification (of information)

来源：评论

学校读者我要写书评

暂无评论

Structure preserving low-rank representation for semi-supervised face recognition

Structure preserving low-rank representation for semi-superv...

引用

20th International Conference on Neural Information Processing, ICONIP 2013

作者： Peng, Yong Wang, Suhang Wang, Shen Lu, Bao-Liang Center for Brain-Like Computing and Machine Intelligence Department of Computer Science and Engineering Shanghai Jiao Tong Unviersity Shanghai 200240 China Department of Electrical Engineering and Computer Science University of Michigan Ann Arbor MI 48109 United States MOE-Microsoft Key Lab. for Intelligent Computing and Intelligent Systems Shanghai Jiao Tong Unviersity Shanghai 200240 China

ISBN: (纸本)9783642420412

Constructing an informative and discriminative graph plays an important role in the graph based semi-supervised learning methods. Among these graph construction methods, low-rank representation based graph, which calculates the edge weights of both labeled and unlabeled samples as the low-rank representation (LRR) coefficients, has shown excellent performance in semi-supervised learning. In this paper, we additionally impose twofold constraints (local affinity and distant repulsion) on the LRR graph. The improved model, termed structure preserving LRR (SPLRR), can preserve the local geometrical structure but without distorting the distant repulsion property. Experiments are taken on three widely used face data sets to investigate the performance of SPLRR and the results show that it is superior to some state-of-the-art semi-supervised graphs. © Springer-Verlag 2013.

关键词： Face recognition

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：