Conferences related to Statistical Analysis

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2017 54th ACM/EDAC/IEEE Design Automation Conference (DAC)

The world's premier EDA and semiconductor design conference and exhibition. DAC features over 60 sessions on design methodologies and EDA tool developments, keynotes, panels, plus the NEW User Track presentations. A diverse worldwide community representing more than 1,000 organizations attends each year, from system designers and architects, logic and circuit designers, validation engineers, CAD managers, senior managers and executives to researchers and academicians from leading universities.

  • 2022 59th ACM/EDAC/IEEE Design Automation Conference (DAC)

    The world's premier EDA and semiconductor design conference and exhibition. DAC features over 60 sessions on design methodologies and EDA tool developments, keynotes, panels, plus the NEW User Track presentations. A diverse worldwide community representing more than 1,000 organizations attends each year, from system designers and architects, logic and circuit designers, validation engineers, CAD managers, senior managers and executives to researchers and academicians from leading universities.

  • 2021 58th ACM/EDAC/IEEE Design Automation Conference (DAC)

    The world's premier EDA and semiconductor design conference and exhibition. DAC features over 60 sessions on design methodologies and EDA tool developments, keynotes, panels, plus the NEW User Track presentations. A diverse worldwide community representing more than 1,000 organizations attends each year, from system designers and architects, logic and circuit designers, validation engineers, CAD managers, senior managers and executives to researchers and academicians from leading universities.

  • 2020 57th ACM/EDAC/IEEE Design Automation Conference (DAC)

    The world's premier EDA and semiconductor design conference and exhibition. DAC features over 60 sessions on design methodologies and EDA tool developments, keynotes, panels, plus the NEW User Track presentations. A diverse worldwide community representing more than 1,000 organizations attends each year, from system designers and architects, logic and circuit designers, validation engineers, CAD managers, senior managers and executives to researchers and academicians from leading universities.

  • 2018 55th ACM/EDAC/IEEE Design Automation Conference (DAC)

    The world's premier EDA and semiconductor design conference and exhibition. DAC features over 60 sessions on design methodologies and EDA tool developments, keynotes, panels, plus the NEW User Track presentations. A diverse worldwide community representing more than 1,000 organizations attends each year, from system designers and architects, logic and circuit designers, validation engineers, CAD managers, senior managers and executives to researchers and academicians from leading universities.

  • 2015 52nd ACM/EDAC/IEEE Design Automation Conference (DAC)

    The world's premier EDA and semiconductor design conference and exhibition. DAC features over 60 sessions on design methodologies and EDA tool developments, keynotes, panels, plus the NEW User Track presentations. A diverse worldwide community representing more than 1,000 organizations attends each year, from system designers and architects, logic and circuit designers, validation engineers, CAD managers, senior managers and executives to researchers and academicians from leading universities.

  • 2014 51st ACM/EDAC/IEEE Design Automation Conference (DAC)

    DAC Description for TMRF The world's premier EDA and semiconductor design conference and exhibition. DAC features over 60 sessions on design methodologies and EDA tool developments, keynotes, panels, plus the NEW User Track presentations. A diverse worldwide community representing more than 1,000 organizations attends each year, from system designers and architects, logic and circuit designers, validation engineers, CAD managers, senior managers and executives to researchers and academicians from leading

  • 2013 50th ACM/EDAC/IEEE Design Automation Conference (DAC)

    The world's premier EDA and semiconductor design conference and exhibition. DAC features over 60 session on design methodologies and EDA tool developments, keynotes, panels, plus User Track presentations. A diverse worldwide community representing more than 1,000 organization attends each year, from system designers and architects, logic and circuit designers, validation engineers, CAD managers, senior managers and executives to researchers and academicians from leading universities.

  • 2012 49th ACM/EDAC/IEEE Design Automation Conference (DAC)

    The Design Automation Conference (DAC) is the premier event for the design of electronic circuits and systems, and for EDA and silicon solutions. DAC features a wide array of technical presentations plus over 200 of the leading electronics design suppliers

  • 2011 48th ACM/EDAC/IEEE Design Automation Conference (DAC)

    The Design Automation Conference is the world s leading technical conference and tradeshow on electronic design and design automation. DAC is where the IC Design and EDA ecosystem learns, networks, and does business.

  • 2010 47th ACM/EDAC/IEEE Design Automation Conference (DAC)

    The Design Automation Conference (DAC) is the premier event for the design of electronic circuits and systems, and for EDA and silicon solutions. DAC features a wide array of technical presentations plus over 200 of the leading electronics design suppliers.

  • 2009 46th ACM/EDAC/IEEE Design Automation Conference (DAC)

    DAC is the premier event for the electronic design community. DAC offers the industry s most prestigious technical conference in combination with the biggest exhibition, bringing together design, design automation and manufacturing market influencers.

  • 2008 45th ACM/EDAC/IEEE Design Automation Conference (DAC)

    The Design Automation Conference (DAC) is the premier event for the design of electronic circuits and systems, and for EDA and silicon solutions. DAC features a wide array of technical presentations plus over 250 of the leading electronics design suppliers.

  • 2007 44th ACM/IEEE Design Automation Conference (DAC)

    The Design Automation Conference (DAC) is the premier Electronic Design Automation (EDA) and silicon solution event. DAC features over 50 technical sessions covering the latest in design methodologies and EDA tool developments and an Exhibition and Demo Suite area with over 250 of the leading EDA, silicon and IP Providers.


2017 Annual Reliability and Maintainability Symposium (RAMS)

Tutorials and original papers on reliability, maintainability, safety, risk management, and logistics


2014 International Radar Conference (Radar)

Radar 2014 cover all aspects of radar systems for civil, security and defence application. Waveform design, beamforming, signal processing, Emerging applications and technologies, sub-systems technologies, Radar environment.

  • 2012 International Radar Conference (Radar)

    Radar Environment/Phenomenology, Radar Systems, Remote Sensing from Airborne/Spaceborne Systems, Waveform Design, Beamforming/Signal Processing, Emerging Applications, Advanced Sub-Systems, Computer Modelling, Simulation/Validation.

  • 2011 IEEE CIE International Conference on Radar (Radar)

    This series of successfully organized international conference on radar shows the very fruitful cooperation between IEEE AESS, IET/UK, SEE/France, EA/Australia CIE/China, and the academy societies of other countries , such as Germany, Russia, Japan, Korea and Poland. Radar 2011 is a forum of radar engineers and scientists from all over the world. The conference topics of Radar 2011 will cover all aspects of radar system for civil and defense applications.

  • 2009 International Radar Conference Radar "Surveillance for a Safer World" (RADAR 2009)

    The conference will focus on new research and developments in the field of radar techniques for both military and civil applications. Topics to be covered at Radar 2009 include: Radar Environment and Phenomenology Radar Systems Remote Sensing from Airborne or Spaceborne Systems Waveform Design, Beamforming and Signal Processing Emerging Radar Applications Emerging Technologies Advanced Sub-Systems Technologies Computer Modeling, Simulation and V


2013 18th Asia and South Pacific Design Automation Conference (ASP-DAC)

ASP-DAC 2013 is the eighteenth annual international conference on VLSI design automation in Asia and South Pacific region, one of the most active regions of design and fabrication of silicon ships in the world.


2013 ICME International Conference on Complex Medical Engineering (CME)

The objective of CME 2013 is to provide a forum for researchers, educators,engineers, and government officials involved in the general areas of biomedical engineering to disseminate their latest research results and exchange views on the future research directions of these fields.

  • 2012 ICME International Conference on Complex Medical Engineering (CME)

    The objective of CME 2012 is to provide a forum for researchers, educators,engineers, and government officials involved in the general areas of biomedical engineering to disseminate their latest research results and exchange views on the future research directions of these fields.

  • 2012 ICME International Conference on Complex Medical Engineering (CME)

    The aim of the conference is to bring together researchers, engineers and practitioners from diverse fields to stimulate future research and development of new theory, approaches, and tools in the field of Complex Medical Engineering.

  • 2011 ICME International Conference on Complex Medical Engineering - CME 2011

    The objective of CME 2011 is to provide a forum for researchers, educators, engineers, and government officials involved in the general areas of biomedical engineering to disseminate their latest research results and exchange views on the future research directions of these fields.

  • 2010 ICME International Conference on Complex Medical Engineering - CME 2010

    TBD

  • 2009 ICME International Conference on Complex Medical Engineering - CME 2009

    The aim of CME 2009 is to bring together researchers and practitioners from diverse fields to promote scientific research and industrial development in the field of complex medical engineering. The conference will consist of workshops, special sessions, tutorials and keynote presentations from renowned experts.

  • 2007 IEEE/ICME International Conference on Complex Medical Engineering - CME 2007


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Periodicals related to Statistical Analysis

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Pattern Analysis and Machine Intelligence, IEEE Transactions on

Statistical and structural pattern recognition; image analysis; computational models of vision; computer vision systems; enhancement, restoration, segmentation, feature extraction, shape and texture analysis; applications of pattern analysis in medicine, industry, government, and the arts and sciences; artificial intelligence, knowledge representation, logical and probabilistic inference, learning, speech recognition, character and text recognition, syntactic and semantic processing, understanding natural language, expert systems, ...


Reliability, IEEE Transactions on

Principles and practices of reliability, maintainability, and product liability pertaining to electrical and electronic equipment.


Semiconductor Manufacturing, IEEE Transactions on

Addresses innovations of interest to the integrated circuit manufacturing researcher and professional. Includes advanced process control, equipment modeling and control, yield analysis and optimization, defect control, and manufacturability improvement. It also addresses factory modelling and simulation, production planning and scheduling, as well as environmental issues in semiconductor manufacturing.



Most published Xplore authors for Statistical Analysis

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Xplore Articles related to Statistical Analysis

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Histogram cloning and CuSum: An experimental comparison between different approaches to Anomaly Detection

Christian Callegari; Stefano Giordano; Michele Pagano 2015 International Symposium on Performance Evaluation of Computer and Telecommunication Systems (SPECTS), 2015

Due to the proliferation of new threats from spammers, attackers, and criminal enterprises, Anomaly-based Intrusion Detection Systems have emerged as a key element in network security and different statistical approaches have been considered in the literature. To cope with scalability issues, random aggregation through the use of sketches seems to be a powerful prefiltering stage that can be applied to ...


Higher order statistics for laser-extinction measurements

B. Lacaze; M. Chabert 2007 15th European Signal Processing Conference, 2007

Recent laser technology provides accurate measures of the dynamics of fluids and embedded particles. For instance, the laser-extinction measurements (LEM) use a laser beam passing across the fluid and measure the residual laser light intensity at the fluid output. Some particle and fluid properties are estimated from these measurements such as concentration or velocity. However, the flow is submitted to ...


Multivariate Sampling Plans in Quality Control: A Numerical Example

L. F. Pau; C. Toghrai; C. H. Chen IEEE Transactions on Reliability, 1983

This paper presents an attributes acceptance sampling procedure where several measurements are available on each item in the sample set. It is thus especially relevant when these measurements on each item are correlated; usual procedures cannot account for correlations. Correlations are considered by using a classification rule to assign the attribute good or bad to each item in the sample ...


Investigation on the Differential Evolution driven by selected six chaotic systems in the task of reactor geometry optimization

Roman Senkerik; Michal Pluhacek; Zuzana Kominkova Oplatkova; Donald Davendra; Ivan Zelinka 2013 IEEE Congress on Evolutionary Computation, 2013

In this paper, Differential Evolution (DE) is used in the task of optimization of batch reactor geometry. The novality of the approach is that the six selected discrete dissipative chaotic maps are used as the chaotic pseudo random number generator to drive the mutation and crossover process in the DE. The optimized results obtained are compared with original reactor geometry ...


A new method of diagnosing turbogenerator's vibration fault based on fuzzy clustering analysis and wavelet packets transform

Zhang Bide; Sun Caixin; Ou jian; Hu Xuesong; Zhou Yinchun Electrical Machines and Systems, 2001. ICEMS 2001. Proceedings of the Fifth International Conference on, 2001

Combined with vibration fault features of a turbogenerator, a new method of fault diagnosis based on fuzzy clustering analysis and wavelet packets transform is proposed in this paper. The experimental results show that this method is available to diagnose the turbogenerator's vibration fault and it can be used extensively in future


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Educational Resources on Statistical Analysis

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eLearning

Histogram cloning and CuSum: An experimental comparison between different approaches to Anomaly Detection

Christian Callegari; Stefano Giordano; Michele Pagano 2015 International Symposium on Performance Evaluation of Computer and Telecommunication Systems (SPECTS), 2015

Due to the proliferation of new threats from spammers, attackers, and criminal enterprises, Anomaly-based Intrusion Detection Systems have emerged as a key element in network security and different statistical approaches have been considered in the literature. To cope with scalability issues, random aggregation through the use of sketches seems to be a powerful prefiltering stage that can be applied to ...


Higher order statistics for laser-extinction measurements

B. Lacaze; M. Chabert 2007 15th European Signal Processing Conference, 2007

Recent laser technology provides accurate measures of the dynamics of fluids and embedded particles. For instance, the laser-extinction measurements (LEM) use a laser beam passing across the fluid and measure the residual laser light intensity at the fluid output. Some particle and fluid properties are estimated from these measurements such as concentration or velocity. However, the flow is submitted to ...


Multivariate Sampling Plans in Quality Control: A Numerical Example

L. F. Pau; C. Toghrai; C. H. Chen IEEE Transactions on Reliability, 1983

This paper presents an attributes acceptance sampling procedure where several measurements are available on each item in the sample set. It is thus especially relevant when these measurements on each item are correlated; usual procedures cannot account for correlations. Correlations are considered by using a classification rule to assign the attribute good or bad to each item in the sample ...


Investigation on the Differential Evolution driven by selected six chaotic systems in the task of reactor geometry optimization

Roman Senkerik; Michal Pluhacek; Zuzana Kominkova Oplatkova; Donald Davendra; Ivan Zelinka 2013 IEEE Congress on Evolutionary Computation, 2013

In this paper, Differential Evolution (DE) is used in the task of optimization of batch reactor geometry. The novality of the approach is that the six selected discrete dissipative chaotic maps are used as the chaotic pseudo random number generator to drive the mutation and crossover process in the DE. The optimized results obtained are compared with original reactor geometry ...


A new method of diagnosing turbogenerator's vibration fault based on fuzzy clustering analysis and wavelet packets transform

Zhang Bide; Sun Caixin; Ou jian; Hu Xuesong; Zhou Yinchun Electrical Machines and Systems, 2001. ICEMS 2001. Proceedings of the Fifth International Conference on, 2001

Combined with vibration fault features of a turbogenerator, a new method of fault diagnosis based on fuzzy clustering analysis and wavelet packets transform is proposed in this paper. The experimental results show that this method is available to diagnose the turbogenerator's vibration fault and it can be used extensively in future


More eLearning Resources

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IEEE-USA E-Books

  • Progress in Prediction of Oxidation States of Cysteines via Computational Approaches

    Predicting the oxidation states of cysteines computationally usually involves first extracting commonalities from the available data obtained by observation or statistical analysis, or utilizing artificial intelligence. Then the acquired knowledge is applied to sequences with the bonding states unknown. Accuracy as calculation was based on the percentage of correct predictions among all test cases. To date, artificial intelligence achieves the highest accuracy among all computational methods attempted. Here, the authors surveyed 15 research efforts published since the 1980s in predicting cysteine oxidation states via computational methods, from the initial attempt using neural networks to the present state of the art. Most of these research efforts have reported prediction accuracy, although some of them used datasets that differed from the others. The essential information used for the predictions was first summarized all to determine the factors impacting the problem.

  • Principles of Substrate Crosstalk Generation in CMOS Circuits

    Substrate noise injection is evaluated for a O.2S-µm CMOS technology, to determine the mechanisms that contribute to substrate crosstalk. At the transistor level, we find that impact ionization current and capacitive coupling from the junctions are the most significant contributors to substrate current injection. An investigation of substrate fluctuations at a circuit level included switching transients, capacitive damping, and separate substrate biasing. This investigation revealed that voltage transients on power-supply lines can be the dominant source of substrate fluctuations. Finally, a statistical analysis of signal cancellation in an integrated circuit was performed. The results indicate that more cancellation will take place for the high-frequency noise components than for the average and low- frequency components. As a consequence, the de and low-frequency components of the transient that results from an individual switching event can not be neglected even if they are a relatively small fraction of the single transient.

  • Sampling and Analysis Methods

    This chapter contains sections titled: Introduction Classification of Analysis Methods Sampling of Contaminants in Air, in Liquids, and on Surfaces Organic Contamination Analysis Methods Ionic and Inorganic Contamination Analysis Methods Electrostatic Discharge Methods Numerical Simulation Algebraic Predictive Modeling Statistical Analysis Methods Additional Reading References and Notes

  • No title

    There are many books written about statistics, some brief, some detailed, some humorous, some colorful, and some quite dry. Each of these texts is designed for a specific audience. Too often, texts about statistics have been rather theoretical and intimidating for those not practicing statistical analysis on a routine basis. Thus, many engineers and scientists, who need to use statistics much more frequently than calculus or differential equations, lack sufficient knowledge of the use of statistics. The audience that is addressed in this text is the university-level biomedical engineering student who needs a bare-bones coverage of the most basic statistical analysis frequently used in biomedical engineering practice. The text introduces students to the essential vocabulary and basic concepts of probability and statistics that are required to perform the numerical summary and statistical analysis used in the biomedical field. This text is considered a starting point for important issue to consider when designing experiments, summarizing data, assuming a probability model for the data, testing hypotheses, and drawing conclusions from sampled data. A student who has completed this text should have sufficient vocabulary to read more advanced texts on statistics and further their knowledge about additional numerical analyses that are used in the biomedical engineering field but are beyond the scope of this text. This book is designed to supplement an undergraduate-level course in applied statistics, specifically in biomedical engineering. Practicing engineers who have not had formal instruction in statistics may also use this text as a simple, brief introduction to statistics used in biomedical engineering. The emphasis is on the application of statistics, the assumptions made in applying the statistical tests, the limitations of these elementary statistical methods, and the errors often committed in using statistical analysis. A number of examples from biomedical engi eering research and industry practice are provided to assist the reader in understanding concepts and application. It is beneficial for the reader to have some background in the life sciences and physiology and to be familiar with basic biomedical instrumentation used in the clinical environment. Contents: Introduction / Collecting Data and Experimental Design / Data Summary and Descriptive Statistics / Assuming a Probability Model from the Sample Data / Statistical Inference / Linear Regression and Correlation Analysis / Power Analysis and Sample Size / Just the Beginning / Bibliography

  • Improve System Performance with Large¿¿?Scale Variable Generation Addition

    This chapter presents several methods to predict the balancing reserve needs and their characteristics, required from conventional generation and other resources, and indicate how to obtain these additional flexibility resources, to quantify the flexibility need. It applies a multivariate statistical analysis to provide a concurrent consideration on the capacity, ramping, and ramp duration requirements of the regulation and load following. The chapter presents three innovations to evaluate the flexibilities needed in the presence of variable generation and how to allocate them accordingly. Firstly, a methodology of predicting the impact of wind and solar generation, uninstructed unit deviations, and load uncertainties on the next operating day regulation requirements. Secondly, a methodology and software tool for evaluating the wind and solar generation load uncertainties, as well as unexpected generation outages. Finally, a method to determine the monthly regulation service requirement, which considers the impact of increasing wind generation.

  • Bayesian Modeling and Computation in Bioinformatics Research

    This chapter contains sections titled: Introduction, Statistical Modeling and Inference, Bayes Procedure, Advanced Computation in Statistical Analysis, Compositional Analysis of a DNA Sequence, Find Repetitive Patterns in DNA Sequence, Discussion, Acknowledgments, References

  • No title

    Analytical reasoning techniques are methods by which users explore their data to obtain insight and knowledge that can directly support situational awareness and decision making. Recently, the analytical reasoning process has been augmented through the use of interactive visual representations and tools which utilize cognitive, design and perceptual principles. These tools are commonly referred to as visual analytics tools, and the underlying methods and principles have roots in a variety of disciplines. This chapter provides an introduction to young researchers as an overview of common visual representations and statistical analysis methods utilized in a variety of visual analytics systems. The application and design of visualization and analytical algorithms are subject to design decisions, parameter choices, and many conflicting requirements. As such, this chapter attempts to provide an initial set of guidelines for the creation of the visual representation, including pitfalls and reas where the graphics can be enhanced through interactive exploration. Basic analytical methods are explored as a means of enhancing the visual analysis process, moving from visual analysis to visual analytics. Table of Contents: Data Types / Color Schemes / Data Preconditioning / Visual Representations and Analysis / Summary

  • Applications in Movement and Gait Analysis

    Motion analysis is based on measuring trajectories, rotations of joints, torque values, temporal events, and muscle activities. Force plates embedded in the floors of motion analysis laboratories measure force transfer between foot and ground during gait. Kinematics, kinetics, and surface electromyography (sEMG) are used to identify the causes of motion impairment and the resulting compensatory movements, thus enhancing clinical assessment and supporting decisions such as choice of surgery, orthoses, and rehabilitation protocols. Surface EMG can provide information on the origin of motion produced by muscle activation. EMG during task execution enables muscle activities to be assessed rather than inferred from a combination of observation of movements and clinical evaluation performed under static conditions. To ensure data reliability in applications of motion analysis, raw sEMG data on a fixed y-axis scale must be checked before five criteria: filtering, envelope computation, data normalization, clinical report creation, and statistical analysis for research purposes.

  • Eras of Software Engineering Technology Transfer

    This chapter talks about the eras of technology transfer: rational era, empirical era, and back-to-basics era. Any Fortran programmer of the 1960s quickly saw that it was more efficient and reliable to call a built-in sine function than to write one from scratch. This was a rational approach. In the late 1980s, people began to preach that before adopting any new method or tool, one must first measure its effect. Before a method X is introduced into the process, a statistical baseline for the current performance must be determined, then X is used, and then another statistical analysis should be done to compare the before and after. This was the empirical approach. It is predicted that software engineering will soon move toward a synthesis of rationalism and empiricism. This will happen in the back-to-basic era, and could be guided by tenets.

  • Results from Statistical Analysis on Organized Raids

    Tunisian and Egyptian protestors famously made use of social media to rally supporters and disseminate information as the "Arab Spring" began to unfold in 2010. Less well known, but with just as much potential to bring about social change, are ongoing local efforts to use social media and other forms of technology to prevent deadly outbreaks of violence. In The Technology of Nonviolence, Joseph Bock describes and documents technology-enhanced efforts to stop violence before it happens in Africa, Asia, and the United States. Once peacekeeping was the purview of international observers, but today local citizens take violence prevention into their own hands. These local approaches often involve technology--including the use of digital mapping, crowdsourcing, and mathematical pattern recognition to identify likely locations of violence --but, as Bock shows, technological advances are of little value unless they are used by a trained cadre of community organizers. After covering general concepts in violence prevention and describing technological approaches to tracking conflict and cooperation, Bock offers five case studies that range from "low-tech" interventions to prevent ethnic and religious violence in Ahmedebad, India, to an anti-gang initiative in Chicago that uses Second Life to train its "violence interrupters." There is solid evidence of success, Bock concludes, but there is much to be discovered, developed, and, most important, implemented.



Standards related to Statistical Analysis

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Guide for Developing and Assessing Reliability Predictions Based on IEEE Standard 1413

The scope of this document is to provide guidance for conducting and assessing reliability predictions (techniques and methods) for electronic products and systems.


Guide for the statistical analysis of electrical insulation breakdown data


IEEE Guide for Selecting and Using Reliability Predictions Based on IEEE 1413

Processes and methodologies for conducting reliability predictions for electronic systems and equipment.


IEEE Guide for the Statistical Analysis of Electrical Insulation Breakdown Data

To prepare a guide describing statistical methods to analyze breakdown test data (at constant or increasing voltage) for purposes including characterization of an insulation system, comparison with other systems and prediction of the probability of breakdown at given times or voltages. The statistical methods included in the guide are based on Weibull, lognormal and Gumbel distributions.


IEEE Guide for the Statistical Analysis of Thermal Life Test Data


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