Uncertainty

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Uncertainty is a term used in subtly different ways in a number of fields, including physics, philosophy, statistics, economics, finance, insurance, psychology, sociology, engineering, and information science. It applies to predictions of future events, to physical measurements already made, or to the unknown. (Wikipedia.org)






Conferences related to Uncertainty

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2013 IEEE Multi-Conference on Systems and Control (MSC)

MSC at brings together under a unique forum different groups of qualified scientists, engineers, researchers and practitioners from Academia and Industry, to discuss the state-of-the-art and future directions in advanced control technology and applications.

  • 2012 IEEE Multi-Conference on Systems and Control (MSC)

    MSC 2012 aims at bringing together different groups of qualified scientists, engineers, researchers and practitioners from Academia and Industry to discuss the state-of-the-art and future directions in advanced control technology and applications, intelligent systems, computational intelligence, and novel and cutting edge technologies as applied to complex systems.

  • 2011 IEEE Multi-Conference on Systems and Control (MSC)

    To bring together people from academia, industry, government and funding agencies. To discuss state-of-the-art in systems, control and their wide range of applications. To discuss future directions in research and development. To identify key areas of common interest.

  • 2010 IEEE Multi-Conference on Systems and Control (MSC)

    The 2010 IEEE Multi-conference on Systems and Control (MSC) gathers up three of the major international conferences promoted by the IEEE Control Systems Society: the International Conference on Control Applications (CCA), the International Symposium on Computer-Aided Control System Design (CACSD), the International Symposium on Intelligent Control (ISIC).

  • 2009 IEEE Multi-Conference on Systems and Control (MSC)

    MSC 2009 includes the 18th IEEE International Conference on Control Applications (CCA 2009) and the 24th IEEE International Symposium on Intelligent Control (ISIC 2009). The newest and more challenging control applications and recent advancements in intelligent control, including innovative control algorithms and computational intelligence methodologies that enable systems to to achieve and maintain high performance under uncertain conditions will be discussed.


2013 Joint IFSA World Congress and NAFIPS Annual Meeting (IFSA/NAFIPS)

IFSA-NAFIPS 2013 aims to bring together researchers, engineers and practitioners to present the latest achievements and innovations in the area of fuzzy information processing, to discuss thought-provoking developments and challenges.

  • NAFIPS 2012 - 2012 Annual Meeting of the North American Fuzzy Information Processing Society

    NAFIPS 2012 aims to bring together researchers, engineers and practitioners to present the latest achievements and innovations in the area of fuzzy information processing, to discuss thought-provoking developments and challenges.

  • NAFIPS 2011 - 2011 Annual Meeting of the North American Fuzzy Information Processing Society

    Promote and encourage the development of fuzzy sets, fuzzy systems, and related technologies.


2012 9th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD)

FSKD is an international forum on fuzzy systems and knowledge discovery. Specific topics include fuzzy theory and foundations; stability of fuzzy systems; fuzzy methods and algorithms; fuzzy image, speech and signal processing; multimedia; fuzzy hardware and architectures; data mining.

  • 2011 Eighth International Conference on Fuzzy Systems and Knowledge Discovery (FSKD)

    FSKD is an international forum on fuzzy systems and knowledge discovery. Specific topics include fuzzy theory and foundations; stability of fuzzy systems; fuzzy methods and algorithms; fuzzy image, speech and signal processing; multimedia; fuzzy hardware and architectures; data mining.

  • 2010 Seventh International Conference on Fuzzy Systems and Knowledge Discovery (FSKD)

    FSKD is an international forum on fuzzy systems and knowledge discovery. Specific topics include fuzzy theory and foundations; stability of fuzzy systems; fuzzy methods and algorithms; fuzzy image, speech and signal processing; multimedia; fuzzy hardware and architectures; data mining.


2012 9th International Conference on Service Systems and Service Management (ICSSSM 2012)

The scope of the conference includes topics on: Theory and Principle of Service Sciences;Service System Design, Operations, and Management, Supply Chain Management for Service, Service Marketing and Financial Management, Specific Industrial Service Management, Service Information Technology and Decision Making,Service Experiential Studies and Case Studies.

  • 2011 8th International Conference on Service Systems and Service Management (ICSSSM 2011)

    The main interests of the confernce includes the following areas: Theory and Principle of Service Sciences; Service System Design, Operations, and Management; Supply Chain Management for Service; Service Marketing and Financial Management; Specifically Industrial Service Management; Service Information Technology and Decision Making;Service Experiential Studies and Case Studies

  • 2010 7th International Conference on Service Systems and Service Management (ICSSSM 2010)

    The main interests of the confernce includes the following areas: Theory and Principle of Service Sciences; Service System Design, Operations, and Management; Supply Chain Management for Service; Service Marketing and Financial Management; Specifically Industrial Service Management; Service Information Technology and Decision Making;Service Experiential Studies and Case Studies


2012 IEEE 5th International Measurement University (IMU)

The IMU is intended to provide paticipants with a background of knowledge in the field of Instrumentation and Measurements, so that they have the know -how to perform different kind of measurements in any possible application field. Young engineers and scientists that want to increase their competence in this fascinating area of the human scientific knowledge should attend the IMU. Here they can meet the major worldwide experts in the different fields of instrumentation and measurement.

  • 2011 IEEE 4th International Measurement University (IMU)

    The IMU is intended to provide paticipants with a background of knowledge in the field of Instrumentation and Measurements, so that they have the know -how to perform different kind of measurements in any possible application field. Young engineers and scientists that want to increase their competence in this fascinating area of the human scientific knowledge should attend the IMU. Here they can meet the major worldwide experts in the different fields of instrumentation and measurement.

  • 2010 IEEE International Measurement University (IMU)

    The IMU is intended to provide paticipants with a background of knowledge in the field of Instrumentation and Measurements, so that they have the know -how to perform different kind of measurements in any possible application field. Young engineers and scientists that want to increase their competence in this fascinating area of the human scientific knowledge should attend the IMU. Here they can meet the major worldwide experts in the different fields of instrumentation and measurement.

  • 2009 IEEE 2nd Annual International Measurement University (IMU)

    The IMU is intended to provide paticipants with a background of knowledge in the field of Instrumentation and Measurements, so that they have the know -how to perform different kind of measurements in any possible application field. Young engineers and scientists that want to increase their competence in this fascinating area of the human scientific knowledge should attend the IMU. Here they can meet the major worldwide experts in the different fields of instrumentation and measurement.

  • 2008 IEEE 1st Annual International Measurement University (IMU)

    The IMU is intended to provide paticipants with a background of knowledge in the field of Instrumentation and Measurements, so that they have the know-how to perform different kind of measurements in any possible application field. Young engineers and scientists that want to increase their competence in this fascinating area of the human scientific knowledge should attend the IMU. Here they can meet the major worldwide experts in the different fields of instrumentation and measurement.


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Periodicals related to Uncertainty

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Control Systems Technology, IEEE Transactions on

Serves as a compendium for papers on the technological advances in control engineering and as an archival publication which will bridge the gap between theory and practice. Papers will highlight the latest knowledge, exploratory developments, and practical applications in all aspects of the technology needed to implement control systems from analysis and design through simulation and hardware.


Electronics Packaging Manufacturing, IEEE Transactions on

Design for manufacturability, cost and process modeling, process control and automation, factory analysis and improvement, information systems, statistical methods, environmentally-friendly processing, and computer-integrated manufacturing for the production of electronic assemblies, products, and systems.


Instrumentation and Measurement, IEEE Transactions on

Measurements and instrumentation utilizing electrical and electronic techniques.


Visualization and Computer Graphics, IEEE Transactions on

Specific topics include, but are not limited to: a) visualization techniques and methodologies; b) visualization systems and software; c) volume visulaization; d) flow visualization; e) information visualization; f) multivariate visualization; g) modeling and surfaces; h) rendering techniques and methodologies; i) graphics systems and software; j) animation and simulation; k) user interfaces; l) virtual reality; m) visual programming and program visualization; ...



Most published Xplore authors for Uncertainty

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Xplore Articles related to Uncertainty

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A new absolute stability and stabilization conditions for a class of Lurie uncertain time-delay systems

R. Q. Lu; W. N. Zhou; H. Y. Su; J. Chu Systems, Man and Cybernetics, 2003. IEEE International Conference on, 2003

In this paper, the new absolute stability and stabilization conditions for a class of Lurie uncertain time-delay systems are proposed. Based on Lyapunov functions combined with linear matrix inequality (LMI) technology, the sufficient delay dependent absolute stability and stabilization conditions are derived for a class of Lurie uncertain time-delay systems with time-delay feedback either in states or nonlinear part through ...


Multi-resolution matching of uncalibrated images utilizing epipolar geometry and its uncertainty

S. Brandt; J. Heikkonen Proceedings 2001 International Conference on Image Processing (Cat. No.01CH37205), 2001

We have developed a simple and efficient wavelet-based technique for matching points in uncalibrated images. The results show that with the proposed method the probability for obtaining a false match practically vanishes when natural images are used. We also show how the uncertainty of the fundamental matrix can be interpreted from image matching viewpoint and explain how the disparity information ...


Risk-based framework for the planning of low-voltage networks incorporating severe uncertainty

Michiel Nijhuis; Madeleine Gibescu; Sjef Cobben IET Generation, Transmission & Distribution, 2017

Current low-voltage (LV) network planning methods consist mostly of a static deterministic assessment of radial network alternatives. This straightforward approach does not take into account the uncertainty which comes with the introduction of photovoltaic generation, electric vehicles and other new technologies into the LV network. Moreover, these technologies may call for a change in network topology, from radially oriented networks ...


A method of dynamic calibration for installation error of radar payload

Lin Wen; Zhong Liu; Zhi-Kun Liu The Fourth International Workshop on Advanced Computational Intelligence, 2011

In order to eliminate the effects of radar payload installation error to the degree of accuracy of radar payload detection, a dynamic calibration method of radar measurement data compensation is put forward. This method based on the dynamic calibration principle, deduced the formulae of radar payload installation error identification, and error dynamic compensation in detail. The method is proved to ...


Modeling Alien-Line Impedance Mismatch in Wideband Vectored Wireline Systems

Eduardo Medeiros; Thomas Magesacher; Per Ödling; Dong Wei; Xiang Wang; Qiaojie Li; Per-Erik Eriksson; Chenguang Lu; Jeroen Boschma; Bas van den Heuvel IEEE Communications Letters, 2014

Sudden changes of channel coefficients in a wideband vectored wireline system (such as G.fast) due to changes in the terminating impedance of lines outside the vectored group can seriously degrade stability and throughput. This letter presents a model that predicts the impact of termination mismatch based exclusively on crosstalk data for the properly-terminated state. Experimental results confirm a tight fit ...


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Educational Resources on Uncertainty

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eLearning

A new absolute stability and stabilization conditions for a class of Lurie uncertain time-delay systems

R. Q. Lu; W. N. Zhou; H. Y. Su; J. Chu Systems, Man and Cybernetics, 2003. IEEE International Conference on, 2003

In this paper, the new absolute stability and stabilization conditions for a class of Lurie uncertain time-delay systems are proposed. Based on Lyapunov functions combined with linear matrix inequality (LMI) technology, the sufficient delay dependent absolute stability and stabilization conditions are derived for a class of Lurie uncertain time-delay systems with time-delay feedback either in states or nonlinear part through ...


Multi-resolution matching of uncalibrated images utilizing epipolar geometry and its uncertainty

S. Brandt; J. Heikkonen Proceedings 2001 International Conference on Image Processing (Cat. No.01CH37205), 2001

We have developed a simple and efficient wavelet-based technique for matching points in uncalibrated images. The results show that with the proposed method the probability for obtaining a false match practically vanishes when natural images are used. We also show how the uncertainty of the fundamental matrix can be interpreted from image matching viewpoint and explain how the disparity information ...


Risk-based framework for the planning of low-voltage networks incorporating severe uncertainty

Michiel Nijhuis; Madeleine Gibescu; Sjef Cobben IET Generation, Transmission & Distribution, 2017

Current low-voltage (LV) network planning methods consist mostly of a static deterministic assessment of radial network alternatives. This straightforward approach does not take into account the uncertainty which comes with the introduction of photovoltaic generation, electric vehicles and other new technologies into the LV network. Moreover, these technologies may call for a change in network topology, from radially oriented networks ...


A method of dynamic calibration for installation error of radar payload

Lin Wen; Zhong Liu; Zhi-Kun Liu The Fourth International Workshop on Advanced Computational Intelligence, 2011

In order to eliminate the effects of radar payload installation error to the degree of accuracy of radar payload detection, a dynamic calibration method of radar measurement data compensation is put forward. This method based on the dynamic calibration principle, deduced the formulae of radar payload installation error identification, and error dynamic compensation in detail. The method is proved to ...


Modeling Alien-Line Impedance Mismatch in Wideband Vectored Wireline Systems

Eduardo Medeiros; Thomas Magesacher; Per Ödling; Dong Wei; Xiang Wang; Qiaojie Li; Per-Erik Eriksson; Chenguang Lu; Jeroen Boschma; Bas van den Heuvel IEEE Communications Letters, 2014

Sudden changes of channel coefficients in a wideband vectored wireline system (such as G.fast) due to changes in the terminating impedance of lines outside the vectored group can seriously degrade stability and throughput. This letter presents a model that predicts the impact of termination mismatch based exclusively on crosstalk data for the properly-terminated state. Experimental results confirm a tight fit ...


More eLearning Resources

IEEE-USA E-Books

  • No title

    Face detection, because of its vast array of applications, is one of the most active research areas in computer vision. In this book, we review various approaches to face detection developed in the past decade, with more emphasis on boosting-based learning algorithms. We then present a series of algorithms that are empowered by the statistical view of boosting and the concept of multiple instance learning. We start by describing a boosting learning framework that is capable to handle billions of training examples. It differs from traditional bootstrapping schemes in that no intermediate thresholds need to be set during training, yet the total number of negative examples used for feature selection remains constant and focused (on the poor performing ones). A multiple instance pruning scheme is then adopted to set the intermediate thresholds after boosting learning. This algorithm generates detectors that are both fast and accurate. We then present two multiple instance learning schemes for face detection, multiple instance learning boosting (MILBoost) and winner-take-all multiple category boosting (WTA-McBoost). MILBoost addresses the uncertainty in accurately pinpointing the location of the object being detected, while WTA-McBoost addresses the uncertainty in determining the most appropriate subcategory label for multiview object detection. Both schemes can resolve the ambiguity of the labeling process and reduce outliers during training, which leads to improved detector performances. In many applications, a detector trained with generic data sets may not perform optimally in a new environment. We propose detection adaption, which is a promising solution for this problem. We present an adaptation scheme based on the Taylor expansion of the boosting learning objective function, and we propose to store the second order statistics of the generic training data for future adaptation. We show that with a small amount of labeled data in the new environment, the detector' performance can be greatly improved. We also present two interesting applications where boosting learning was applied successfully. The first application is face verification for filtering and ranking image/video search results on celebrities. We present boosted multi-task learning (MTL), yet another boosting learning algorithm that extends MILBoost with a graphical model. Since the available number of training images for each celebrity may be limited, learning individual classifiers for each person may cause overfitting. MTL jointly learns classifiers for multiple people by sharing a few boosting classifiers in order to avoid overfitting. The second application addresses the need of speaker detection in conference rooms. The goal is to find who is speaking, given a microphone array and a panoramic video of the room. We show that by combining audio and visual features in a boosting framework, we can determine the speaker's position very accurately. Finally, we offer our thoughts on uture directions for face detection. Table of Contents: A Brief Survey of the Face Detection Literature / Cascade-based Real-Time Face Detection / Multiple Instance Learning for Face Detection / Detector Adaptation / Other Applications / Conclusions and Future Work

  • No title

    An intelligent agent interacting with the real world will encounter individual people, courses, test results, drugs prescriptions, chairs, boxes, etc., and needs to reason about properties of these individuals and relations among them as well as cope with uncertainty. Uncertainty has been studied in probability theory and graphical models, and relations have been studied in logic, in particular in the predicate calculus and its extensions. This book examines the foundations of combining logic and probability into what are called relational probabilistic models. It introduces representations, inference, and learning techniques for probability, logic, and their combinations. The book focuses on two representations in detail: Markov logic networks, a relational extension of undirected graphical models and weighted first-order predicate calculus formula, and Problog, a probabilistic extension of logic programs that can also be viewed as a Turing-complete relational extension of Bayesian n tworks.

  • The Questionable Matter of Electricity: The Reception of J.J. Thompson's “Corpuscle” Among Electrical Theorists and Technologists

    This chapter contains sections titled: The Electrician and the Question Concerning Electricity, Dissociation and Indifference: Varied Responses to Thompson's 1897 Researches, Converts and Appropriators at the BAAS Meeting of 1899, New Territories and New Audiences for the Electron and Corpuscle, The Autonomy of Hardware--or Not Harnessing the "Electron" in New Technologies, Thompson vs. Thompson: The Contested Relation Between Corpuscles and Electrons, Epilogue: The Invention of Discovery Stories for the "Electron", Conclusion: A New Uncertainty Principle, Notes

  • Uncertainty Analyses and Future Perspectives

    No Abstract.

  • Appendix C: Correctness of Algorithm 6.1

    No abstract.

  • Index

    These twenty lectures have been developed and refined by Professor Siebert during the more than two decades he has been teaching introductory Signals and Systems courses at MIT. The lectures are designed to pursue a variety of goals in parallel: to familiarize students with the properties of a fundamental set of analytical tools; to show how these tools can be applied to help understand many important concepts and devices in modern communication and control engineering practice; to explore some of the mathematical issues behind the powers and limitations of these tools; and to begin the development of the vocabulary and grammar, common images and metaphors, of a general language of signal and system theory.Although broadly organized as a series of lectures, many more topics and examples (as well as a large set of unusual problems and laboratory exercises) are included in the book than would be presented orally. Extensive use is made throughout of knowledge acquired in early courses in elementary electrical and electronic circuits and differential equations.Contents: Review of the "classical" formulation and solution of dynamic equations for simple electrical circuits; The unilateral Laplace transform and its applications; System functions; Poles and zeros; Interconnected systems and feedback; The dynamics of feedback systems; Discrete-time signals and linear difference equations; The unilateral Z-transform and its applications; The unit-sample response and discrete-time convolution; Convolutional representations of continuous-time systems; Impulses and the superposition integral; Frequency-domain methods for general LTI systems; Fourier series; Fourier transforms and Fourier's theorem; Sampling in time and frequency; Filters, real and ideal; Duration, rise-time and bandwidth relationships: The uncertainty principle; Bandpass operations and analog communication systems; Fourier transforms in discrete-time systems; Random Signals; Modern communication systems.William Siebert is Ford Professor of Engineering at MIT. Circuits, Signals, and Systems is included in The MIT Press Series in Electrical Engineering and Computer Science, copublished with McGraw-Hill.

  • High Temperature Electronics for Geothermal EnergyWork performed under the auspices of the U.S. Department of Energy, Contract No. DEAC0476PD00789 for the Division of Geothermal Energy (DGE).

    The worldwide production of electric power from geothermal energy sources at present is 1.2 GW. The largest facility is in the United States at The Geysers, in Northern California, where 605 MW is on-line. Recent estimates indicate that geothermal energy sources could produce over 10 GW of power in the USA by 1990; however, to achieve this goal there must be accelerated exploration and development. Developers and investors may be reluctant to make the necessary commitments if there is high risk or uncertainty in a geothermal reservoir's production potential. Also, once a system is in operation, engineers periodically need accurate and timely downhole information from each well in order to obtain optimum production. Instrumentation for geothermal borehole measurements is being expanded beyond today's limited capabilities. Prototypical logging tools have been successfully field-tested to 275° C; a highresolution quartz pressure transducer and a gallium phosphide diode have been successfully tested. Near-term goals of current programs are to develop instrumentation for use at 275° in pressures up to 48.3 MPa (7,000 psi).

  • Decisions have Consequences

    Inputs to decision-making have expanded over the years to the point where top- level decision-makers depend on input from many levels within the organization. Knowledge and experience allow us to describe the known, the predictable, and the controllable within limits, but describing and understanding the unknowns, the unpredictable, and the uncontrollable factors, comes through subsequent experimentation and research and at times through trial and error methods. Investing in the development and application of new technologies probably creates the greatest challenge in the decision process, since relatively few executives and their board members are technically oriented, and the decision involves dealing with high levels of uncertainty and risk. Location of facilities whether for new office buildings, research centers, manufacturing operations, or other facilities probably are more sensitive to bias and emotion than most other decisions.

  • No title

    Multiagent systems is an expanding field that blends classical fields like game theory and decentralized control with modern fields like computer science and machine learning. This monograph provides a concise introduction to the subject, covering the theoretical foundations as well as more recent developments in a coherent and readable manner. The text is centered on the concept of an agent as decision maker. Chapter 1 is a short introduction to the field of multiagent systems. Chapter 2 covers the basic theory of singleagent decision making under uncertainty. Chapter 3 is a brief introduction to game theory, explaining classical concepts like Nash equilibrium. Chapter 4 deals with the fundamental problem of coordinating a team of collaborative agents. Chapter 5 studies the problem of multiagent reasoning and decision making under partial observability. Chapter 6 focuses on the design of protocols that are stable against manipulations by self- interested agents. Chapter 7 provides a s ort introduction to the rapidly expanding field of multiagent reinforcement learning. The material can be used for teaching a half-semester course on multiagent systems covering, roughly, one chapter per lecture.

  • Rough-Fuzzy Hybridization and Granular Computing

    During the past decade, there have been several attempts to derive hybrid methods by judiciously combining the merits of fuzzy logic and rough sets under the name rough-fuzzy or fuzzy-rough computing. The result is a more intelligent and robust system providing a human interpretable, low cost, approximate solution, as compared to traditional techniques. This chapter discusses some of the theoretical developments relevant to pattern recognition. It first briefly introduces the necessary notions of fuzzy sets and rough sets. The chapter then discusses the concepts of granular computing and fuzzy granulation and emergence of rough-fuzzy computing. It presents a mathematical framework of generalized rough sets for uncertainty handling and defining rough entropy. Finally, the chapter discusses various roughness and entropy measures with properties. fuzzy logic; fuzzy set theory; rough set theory



Standards related to Uncertainty

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IEEE Guide for the Measurement of Quasi-Static Magnetic and Electric Fields

This project describes measurement goals associated with characterizing quasi-static magnetic and electric fields, e.g. power frequency and other extremely low frequency fields, and available methods for accomplishing them. The guide should be used in conjunction with IEEE Std 1308-1994 (IEEE Recommended Practice for Instrumentation: Specifications for Magnetic Flux Density Meters - 10 Hz to 3 kHz), which defines terminology and ...



Jobs related to Uncertainty

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