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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2018 52nd Annual Conference on Information Sciences and Systems (CISS)

The scope includes theoretical advances, applications, and ideas in the fields of information sciences and systems including: Information Theory,Coding Theory, Image Processing, Communications, Signal Processing, Machine Learning, Statistical Inference,, Security and Privacy, Energy Systems, Networking, Systems and Control, Biological Systems


2018 Chinese Control And Decision Conference (CCDC)

Chinese Control and Decision Conference is an annual international conference to create a forum for scientists, engineers and practitioners throughout the world to present the latest advancement in Control, Decision, Automation, Robotics and Emerging Technologies.

  • 2017 29th Chinese Control And Decision Conference (CCDC)

    Chinese Control and Decision Conference is an annual international conference to create a forum for scientists, engineers and practitioners throughout the world to present the latest advancement in Control, Decision, Automation, Robotics and Emerging Technologies.

  • 2016 Chinese Control and Decision Conference (CCDC)

    Chinese Control and Decision Conference is an annual international conference to create aforum for scientists, engineers and practitioners throughout the world to present the latestadvancement in Control, Decision, Automation, Robotics and Emerging Technologies.

  • 2015 27th Chinese Control and Decision Conference (CCDC)

    Chinese Control and Decision Conference is an annual international conference to create a forum for scientists, engineers and practitioners throughout the world to present the latest advancement in Control, Decision, Automation, Robotics and Emerging Technologies.

  • 2014 26th Chinese Control And Decision Conference (CCDC)

    Chinese Control and Decision Conference is an annual international conference to create aforum for scientists, engineers and practitioners throughout the world to present the latestadvancement in Control, Decision, Automation, Robotics and Emerging Technologies.

  • 2013 25th Chinese Control and Decision Conference (CCDC)

    Chinese Control and Decision Conference is an annual international conference to create a forum for scientists, engineers and practitioners throughout the world to present the latest advancement in Control, Decision, Automation, Robotics and Emerging Technologies.

  • 2012 24th Chinese Control and Decision Conference (CCDC)

    Chinese Control and Decision Conference is an annual international conference to create a forum for scientists, engineers and practitioners throughout the world to present the latest advancement in Control, Decision, Automation, Robotics and Emerging Technologies.

  • 2011 23rd Chinese Control and Decision Conference (CCDC)

    Chinese Control and Decision Conference is an annual international conference to create a forum for scientists, engineers and practitioners throughout the world to present the latest advancement in Control, Decision, Automation, Robotics and Emerging Technologies.

  • 2010 Chinese Control and Decision Conference (CCDC)

    Chinese Control and Decision Conference is an annual international conference to create a forum for scientists, engineers and practitioners throughout the world to present the latest advancement in Control, Decision, Automation, Robotics and Emerging Technologies

  • 2009 Chinese Control and Decision Conference (CCDC)

    Chinese Control and Decision Conference is an annual international conference to create a forum for scientists, engineers and practitioners throughout the world to present the latest advancement in Control, Decision, Automation, Robotics and Emerging Technologies.

  • 2008 Chinese Control and Decision Conference (CCDC)


2018 Conference on Precision Electromagnetic Measurements (CPEM 2018)

CPEM is the most important scientific and technological conference in the domain of electromagnetic measurements at the highest accuracy levels. This conference covers the frequency range from DC to the optical region.2018 is expected to be a watershed year in the history of the international system of units (SI), with the adoption of the new definitions for the kilogram, the ampere, the kelvin and the mole. All the SI units will then be based on a set of seven defining constants. CPEM 2018 will provide a privileged opportunity to mark this milestone of the SI through a natural focus on quantum devices that relate electrical measurement standards to fundamental constants of physics. CPEM 2018 will also be the place to share knowledge on research in electromagnetic metrology focused on present and future challenges regarding industry and society in sectors such as Energy, ICT, quantum engineering, Industry 4.0, etc.


2018 IEEE 12th International Conference on Semantic Computing (ICSC)

Topics for submission include but are not limited to:Analytics (from contents to semantics) Structured data image and video audio and speech big data natural language deep learningDescription and Integration Semantics description languages ontology integration interoperabilityUse of Semantics in IT Applications Multimedia IoT cloud computing SDN wearable computing mobile computing search engines question answering robotics web service security and privacyUse of Semantics in Interdisciplinary Applications biomedicine healthcare manufacturing engineering education finance entertainment business science humanityInterface Natural language multi-modal

  • 2017 IEEE 11th International Conference on Semantic Computing (ICSC)

    Topics of interest include, but are not limited to:• Analytics (from contents to semantics): Structured data, image and video, audio and speech, big data, natural language, deep learning• Description and Integration: Semantics description languages, ontology integration, interoperability• Use of Semantics in IT Applications: Multimedia, IoT, cloud computing, SDN, wearable computing, mobile computing, search engines, question answering, web services, security and privacy• Use of Semantics in Interdisciplinary Applications such as biomedicine, healthcare, manufacturing, engineering, education, finance, entertainment, business, science, humanity• Interfaces: Natural language, multi-modal

  • 2016 IEEE Tenth International Conference on Semantic Computing (ICSC)

    Semantic Computing (SC) is Computing based on Semantics (“meaning”, "context", “intention”). It addresses all types of resource including data, document, tool, device, process and people. The scope of SC includes analytics, semantics description languages and integration, interfaces, and applications including biomed, IoT, cloud computing, SDN,wearable computing, context awareness, mobile computing, search engines, question answering, big data, multimedia, and services.

  • 2015 IEEE International Conference on Semantic Computing (ICSC)

    Semantics based AnalysisNatural language processingImage and video analysisAudio, music and speech analysisData and web miningBehavior of software, systems, and networksServices and networksSecurityPrivacyAnalysis of social networksSemantic IntegrationMetadata and other description languagesDatabase schema integrationOntology integrationInteroperability and service integrationSemantic programming languages and software engineeringSemantic system design and synthesisApplications using SemanticsBig DataSearch engines and question answeringSemantic web servicesContent-based multimedia retrieval and editingContext-aware networks of sensors, devices and applicationsDevices and applicationsDigital library applicationsMachine translationMusic description and meta-creationMedicine and BiologyGIS systems and architectureSemantic InterfacesNatural language interfacesMultimodal interfaces and mediation technologyHuman centered computing

  • 2014 IEEE International Conference on Semantic Computing (ICSC)

    Semantics based Analysis:Natural language processing,Image and video analysis, Audio, music and speech analysis, Data and web mining,Behavior of software, services and networks, Services and networks,Security,Privacy,Analysis of social networksSemantic Integration,Metadata and other description languages,Database schema integration,Ontology integration,Interoperability and service integration,Semantic programming languages and software engineering,Semantic system design and synthesisApplications using Semantics,Search engines and question answering,Semantic web services,Content-based multimedia retrieval and editing,Context-aware networks of sensors, devices and applications,Digital library applications,Machine translation,Music description and meta-creation,Medicine and Biology,GIS systems and architectureSemantic Interfaces,Natural language interfaces,Multimodal interfaces and mediation technology,Human centered computing

  • 2013 IEEE Seventh International Conference on Semantic Computing (ICSC)

    Semantics based Analysis

  • 2012 IEEE Sixth International Conference on Semantic Computing (ICSC)

    Natural language processing Image and video analysis Audio and speech analysis Data and web mining Behavior of software, services and networks Security Metadata and other description languages Ontology integration Interoperability and service integration Search engines and question answering Semantic web services Content-based multimedia retrieval and editing Context-aware networks of sensors, devices and applications Machine translation Creative art description Medicine and biology Semantic programming languages and software engineering System design and synthesis GIS

  • 2011 IEEE Fifth International Conference on Semantic Computing (ICSC)

    Semantics based Analysis Natural language processing Image and video analysis Audio and speech analysis Data and web mining Behavior of software, services and networks Security Semantic Integration Metadata and other description languages Ontology integration Interoperability and service integration Applications using Semantics Search engines and question answering Semantic web services Content-based multimedia retrieval and editing Context-aware networks of sensors, devices and applications Machine translation Creative art description Medicine and biology Semantic programming languages and software engineering System design and synthesis GIS Semantic Interfaces Natural language interfaces Multimodal interfaces Human centered computing

  • 2010 IEEE Fourth International Conference on Semantic Computing (ICSC)

    The field of Semantic Computing addresses the derivation and matching of the semantics of computational content to that of naturally expressed user intentions in order to retrieve, manage, manipulate or even create content, where "content" maybe anything including video, audio, text, processes, services, hardware, networks, etc.

  • 2009 IEEE Third International Conference on Semantic Computing (ICSC)

    ANALYSIS AND UNDERSTANDING OF CONTENT Natural-language processing Image and video analysis Audio and speech analysis Analysis of structured and semi-structured data Analysis of behavior of software, services, and networks INTEGRATION OF MULTIPLE SEMANTIC REPRESENTATIONS Database schema integration Ontology integration Interoperability and Service Integration SEMANTIC INTERFACES Natural-Language Interface Multimodal Interfaces APPLICATIONS Semantic Web and other search technologies Quest

  • 2008 Second IEEE International Conference on Semantic Computing (ICSC)

    The field of Semantic Computing (SC) brings together those disciplines concerned with connecting the (often vaguely-formulated) intentions of humans with computational content. This connection can go both ways: retrieving, using and manipulating existing content according to user's goals ("do what the user means"); and creating, rearranging, and managing content that matches the author's intentions ("do what the author means").

  • 2007 First IEEE International Conference on Semantic Computing (ICSC)


2018 IEEE 16th International Conference on Industrial Informatics (INDIN)

The aim of INDIN´18 is to bring together researchers and practitioners from industry and academia and provide them with a platform to report and discuss recent developments, deployments, technology trends and research results, as well as initiatives related to industrial informatics and their application.


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Periodicals related to Uncertainty

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Antennas and Wireless Propagation Letters, IEEE

IEEE Antennas and Wireless Propagation Letters (AWP Letters) will be devoted to the rapid electronic publication of short manuscripts in the technical areas of Antennas and Wireless Propagation.


Automatic Control, IEEE Transactions on

The theory, design and application of Control Systems. It shall encompass components, and the integration of these components, as are necessary for the construction of such systems. The word `systems' as used herein shall be interpreted to include physical, biological, organizational and other entities and combinations thereof, which can be represented through a mathematical symbolism. The Field of Interest: shall ...


Automation Science and Engineering, IEEE Transactions on

The IEEE Transactions on Automation Sciences and Engineering (T-ASE) publishes fundamental papers on Automation, emphasizing scientific results that advance efficiency, quality, productivity, and reliability. T-ASE encourages interdisciplinary approaches from computer science, control systems, electrical engineering, mathematics, mechanical engineering, operations research, and other fields. We welcome results relevant to industries such as agriculture, biotechnology, healthcare, home automation, maintenance, manufacturing, pharmaceuticals, retail, ...


Circuits and Systems I: Regular Papers, IEEE Transactions on

Part I will now contain regular papers focusing on all matters related to fundamental theory, applications, analog and digital signal processing. Part II will report on the latest significant results across all of these topic areas.


Communications Letters, IEEE

Covers topics in the scope of IEEE Transactions on Communications but in the form of very brief publication (maximum of 6column lengths, including all diagrams and tables.)


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Most published Xplore authors for Uncertainty

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Xplore Articles related to Uncertainty

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A Day-Ahead Joint Energy and Uncertainty Reserve Market Clearing Model to Manage VRE Uncertainty

[{u'author_order': 1, u'affiliation': u'Department of Energy, Politecnico di Torino, Turin, Italy', u'full_name': u'Shaghayegh Zalzar'}, {u'author_order': 2, u'affiliation': u'Department of Energy, Politecnico di Torino, Turin, Italy', u'full_name': u'Ettore Bompard'}] 2018 IEEE International Conference on Environment and Electrical Engineering and 2018 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe), None

The existing electricity market designs may be not compatible with high penetration of Variable Renewable Energy Sources (VRE) in power systems and need to be improved to address VREs' variability and uncertainty. VREs require flexibility and additional reserve capacities from conventional power plants to offset their real-time deviation from the forecasted output power. Another important issue regarding VRE market participation ...


Impact of the Uncertainty of Distributed Renewable Generation on Deregulated Electricity Supply Chain

[{u'author_order': 1, u'affiliation': u'Department of Information Engineering, Chinese University of Hong Kong, Hong Kong', u'full_name': u'Hanling Yi'}, {u'author_order': 2, u'affiliation': u'Department of Information Engineering, Chinese University of Hong Kong, Hong Kong', u'full_name': u'Mohammad H. Hajiesmaili'}, {u'author_order': 3, u'affiliation': u'Department of Information Engineering, Chinese University of Hong Kong, Hong Kong', u'full_name': u'Ying Zhang'}, {u'author_order': 4, u'affiliation': u'Department of Information Engineering, Chinese University of Hong Kong, Hong Kong', u'full_name': u'Minghua Chen'}, {u'author_order': 5, u'affiliation': u'School of Electrical and Computer Engineering, Purdue University, West Lafayette, IN, USA', u'full_name': u'Xiaojun Lin'}] IEEE Transactions on Smart Grid, 2018

Active districts are districts that have a system in place to coordinate distributed energy generation and external grid to meet the local energy demand. They are now widely recognized as a clear opportunity toward distributed renewable integration. Despite apparent benefits of incorporating renewable sources in an active district, uncertainty in renewable generation can impose unprecedented challenges in efficient operation of ...


Measurement Uncertainty of Current Harmonics During the Assessment of Compliance to Grid Code Requirements

[{u'author_order': 1, u'affiliation': u'North-West University, Potchefstroom, South Africa', u'full_name': u'Zander Marais'}, {u'author_order': 2, u'affiliation': u'North-West University, Potchefstroom, South Africa', u'full_name': u'Johan Rens'}, {u'author_order': 3, u'affiliation': u'North-West University, Potchefstroom, South Africa', u'full_name': u'Brandon Peterson'}, {u'author_order': 4, u'affiliation': u'North-West University, Potchefstroom, South Africa', u'full_name': u'Gerhard Botha'}] 2018 IEEE 9th International Workshop on Applied Measurements for Power Systems (AMPS), None

This paper improves the impact of measurement uncertainty on harmonic grid code compliance assessment by characterization of the current transformers at a renewable power producer. Field data was collected to evaluate the CT ratio error for magnitude and phase angle up to the 60th harmonic. The test setup made use of certified instruments and applied IEC standards to derive CT ...


Coordinated Investment in Transmission and Storage Systems Representing Long- and Short-Term Uncertainty

[{u'author_order': 1, u'affiliation': u'Department of Electrical and Computer Engineering, The Ohio State University, Columbus, OH, USA', u'full_name': u'Xuan Zhang'}, {u'author_order': 2, u'affiliation': u'Department of Integrated Systems Engineering, Department of Electrical and Computer Engineering, The Ohio State University, Columbus, OH, USA', u'full_name': u'Antonio J. Conejo'}] IEEE Transactions on Power Systems, 2018

In this paper, the coordinated investment in transmission and storage systems under uncertainty is addressed from the perspective of a central planner. The problem is formulated with the objective of achieving an effective expansion of both transmission and storage that minimizes the investment cost, while achieving an effective operation of a power system with high penetration of renewable power. The ...


Multi-stage restoration strategy for service restoration in distribution systems considering outage duration uncertainty

[{u'author_order': 1, u'affiliation': u'Newcastle University International Singapore, Singapore', u'full_name': u'Anurag Sharma'}, {u'author_order': 2, u'affiliation': u'National University of Singapore, Singapore', u'full_name': u'Anupam Trivedi'}, {u'author_order': 3, u'affiliation': u'National University of Singapore, Singapore', u'full_name': u'Dipti Srinivasan'}] IET Generation, Transmission & Distribution, 2018

This study proposes a multi-stage restoration strategy to solve the service restoration problem in distribution systems considering the uncertainty of outage duration. Furthermore, it also proposes a restoration index defined in terms of (i) priority of the load restored, (ii) number of switching operations, and (iii) estimated likelihood of the restoration solution to assist the utility in enhanced decision-making. Service ...


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Educational Resources on Uncertainty

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eLearning

No eLearning Articles are currently tagged "Uncertainty"

IEEE-USA E-Books

  • Uncertainty Representation, Quantification, and Management in Prognostics

    This chapter analyzes the significance, interpretation, quantification, and management of uncertainty in prognostics, with an emphasis on predicting the remaining useful life (RUL) of engineering systems and components. Prognostics deals with predicting the future behavior of engineering systems and is affected by various sources of uncertainty. The chapter explains the paramount importance of uncertainty interpretation, quantification, and management in prognostics, focusing both on testing‐based life prediction and condition‐based prognostics. It discusses the suitability of classical and subjective approaches to uncertainty. The chapter also explains computational methods for uncertainty quantification and management. The most intuitive method for uncertainty propagation is to make use of Monte Carlo simulation (MCS). Having calculated the uncertainty in the prediction, it is necessary to facilitate uncertainty management from a decision‐making point of view in order to facilitate risk mitigation activities. The chapter presents a case study on the power system of an unmanned aerial vehicle.

  • Challenges Ahead Risk‐Based AC Optimal Power Flow Under Uncertainty for Smart Sustainable Power Systems

    This chapter discusses the challenges and proposes solutions to leverage optimal power flow (OPF) computations for future smart sustainable power systems, fostering the development of the first generation of tools balancing risk‐based security criteria and renewable generation forecast uncertainty. In order to provide more tractable algorithms, the major focus should be devoted to the reduction of the number of critical scenarios modeling the uncertainty, which is responsible for the most additional computational burden compared to deterministic OPF. The chapter explains the conventional (deterministic) OPF problem and describes advanced issues related to the current and future generation of OPF packages. It presents a formulation of the OPF problem that integrates a probabilistic, risk‐based security criterion. The chapter addresses the extension of the OPF framework to take into account renewable generation forecast uncertainty. The time line of decision making should be revisited depending on the degree of trust in available uncertainty models.

  • Power Distance, Uncertainty Avoidance, and Rukun: Managing the Transboundary Haze Crisis in Indonesia

    Indonesia is home to more than 200 ethnicities who speak more than 300 local languages. This chapter examines how Indonesian cultural characteristics surfaced in the face of government's crisis response in the 2013 transboundary haze crisis when forest fires that raged in Riau, Indonesia, caused the haze to spread to its neighboring countries including Singapore and Malaysia, hitting high levels of air pollution in those countries. The key to tackling the fires in Riau was for the government to determine the cause of the fires, and enforce the law by prohibiting the firms and farmers from burning the forests and peat lands. This crisis showed that the Indonesian government did not exhibit collectivist culture as it did not achieve consensus before making a decision and disseminating messages, in contrast to Hofstede's study. The 2013 transboundary haze episode pressured Indonesia to ratify the haze agreement with ratification finally occurring in September 2014.

  • Measurements and Uncertainty

    This chapter describes the importance of the measurement process. The ability to improve the quality of data extracted in a particular situation depends strongly on an understanding of the concepts of precision and uncertainty. Every measurement has three components: the number itself, the units, and the uncertainty associated with the number. The chapter discusses briefly the units and the number reported, and explains how to estimate uncertainty, how to work with uncertainty, and how to report uncertainty. In the context of science and engineering, error generally means an experimental uncertainty. It is common to separate errors into three types: systematic errors, random errors, and illegitimate errors. The chapter provides a simplified introduction to probability and the propagation of uncertainties, and then describes the standard deviation formulas. It describes general methods, namely direct or brute‐force method, that can be used to determine how component errors affect the final value.

  • Uncertainty Decoding

    This chapter contains sections titled: Introduction Observation Uncertainty Uncertainty Decoding Feature‐Based Uncertainty Decoding Model‐Based Joint Uncertainty Decoding Noisy CMLLR Uncertainty and Adaptive Training In Combination with Other Techniques Conclusions References

  • Health Information Technology: Challenges in Ethics, Science, and Uncertainty

    This chapter contains sections titled: Privacy and Confidentiality Clinical Decision Support Systems Personal Health Records Conclusion References

  • Logics for Reasoning about Uncertainty

    The previous chapters considered various issues regarding the representation of uncertainty. This chapter considers formal logics for reasoning about uncertainty. These logics provide tools for carefully representing arguments involving uncertainty, as well as methods for characterizing the underlying notion of uncertainty. Note that I said "logics," not "logic." I consider a number of logics.

  • Representing Uncertainty

    How should uncertainty be represented? This has been the subject of much heated debate. For those steeped in probability, there is only one appropriate model for numeric uncertainty, and that is probability. But probability has its problems. For one thing, the numbers aren't always available. For another, the commitment to numbers means that any two events must be comparable in terms of probability: either one event is more probable than the other, or they have equal probability.

  • RECENT RESEARCH ON BATTERY DIAGNOSTICS, PROGNOSTICS, AND UNCERTAINTY MANAGEMENT

    This chapter provides a state¿¿¿of¿¿¿the¿¿¿art review for Li¿¿¿ion battery diagnostics, prognostics, and uncertainty management. It illustrates battery models used for battery state¿¿¿of¿¿¿charge (SOC) and state¿¿¿of¿¿¿health (SOH) estimation and reviews various estimation algorithms. The chapter elaborates data¿¿¿driven prognostics for predicting the remaining useful life (RUL) of battery SOC and SOH. In particular, a Copula¿¿¿based sampling method is explained in detail for predicting the RUL of the capacity fade. The chapter describes various uncertainties in battery diagnostics and prognostics and a proposed framework is illustrated for managing the battery model parameter uncertainty and model uncertainty in a systematic manner. Battery models can be classified into two groups: electrochemical models and equivalent circuit models (ECMs). Five types of uncertainty play a key role for reliable estimation of the battery performances of interest and they can be classified as measurement uncertainty, algorithm uncertainty, environmental uncertainty, model parameter uncertainty, and model uncertainty.

  • Measurement Models and Uncertainty

    This chapter covers the fundamentals of the measurement science. It shows how measurement has been an important part of the knowledge processes, and how its importance has evolved along the centuries, as the scientific and human need for knowledge has evolved. The chapter presents the definition of measurement, taken from the International Vocabulary of Metrology (VIM). Developing a model for the measurement activity is therefore necessary, to fully understand its meaning and which are the requirements to perform a measurement correctly. Socrates' model of knowledge is a good starting point to build the measurement model. A strict analysis of the defined model gave evidence of the different sources of imperfections that cause the measured values to differ from the measurand value. The modern uncertainty concept was analyzed as the presently most effective way to provide this quantitative estimate, and the standard recommendations on how to implement this concept are presented.



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 ...


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 ...