63,210 resources related to Statistical Analysis
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2020 IEEE International Symposium on Antennas and Propagation and North American Radio Science Meeting
The joint meeting is intended to provide an international forum for the exchange of information on state of the art research in the area of antennas and propagation, electromagnetic engineering and radio science
Everything to do with radar hardware, techniques, processing and systems.
The conference program will consist of plenary lectures, symposia, workshops and invitedsessions of the latest significant findings and developments in all the major fields of biomedical engineering.Submitted papers will be peer reviewed. Accepted high quality papers will be presented in oral and postersessions, will appear in the Conference Proceedings and will be indexed in PubMed/MEDLINE
To promote awareness, understanding, advancement and application of ocean engineering and marine technology. This includes all aspects of science, engineering, and technology that address research, development, and operations pertaining to all bodies of water. This includes the creation of new capabilities and technologies from concept design through prototypes, testing, and operational systems to sense, explore, understand, develop, use, and responsibly manage natural resources.
The IEEE International Microwave Symposium (IMS) is the world s foremost conference covering the UHF, RF, wireless, microwave, millimeter-wave, terahertz, and optical frequencies; encompassing everything from basic technologies to components to systems including the latest RFIC, MIC, MEMS and filter technologies, advances in CAD, modeling, EM simulation and more. The IMS includes technical and interactive sessions, exhibits, student competitions, panels, workshops, tutorials, and networking events.
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.
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 ...
Broad coverage of concepts and methods of the physical and engineering sciences applied in biology and medicine, ranging from formalized mathematical theory through experimental science and technological development to practical clinical applications.
Broadcast technology, including devices, equipment, techniques, and systems related to broadcast technology, including the production, distribution, transmission, and propagation aspects.
Video A/D and D/A, display technology, image analysis and processing, video signal characterization and representation, video compression techniques and signal processing, multidimensional filters and transforms, analog video signal processing, neural networks for video applications, nonlinear video signal processing, video storage and retrieval, computer vision, packet video, high-speed real-time circuits, VLSI architecture and implementation for video technology, multiprocessor systems--hardware and software-- ...
2014 IEEE AUTOTEST, 2014
Switching reliability, repeatability and stability are crucial in Automated Test Equipment (ATE). There is an inherent variability in a mechanical switch and after an extended number of cycles, will cause an out tolerance condition. This could present itself as an intermittent test failure that will require isolation to the Unit Under Test (UUT) or the ATE. A method that could ...
2012 9th International Conference on Fuzzy Systems and Knowledge Discovery, 2012
The malicious code detection based on behaviors has proved effective. But there are high false positives and high false negatives when using this method. Because the behaviors are always out-of-order and redundant. To solve these problems, this paper proposes a detection method based on statistical analysis. Firstly, this method uses association rules to sort out the behaviors, and then we ...
2018 9th International Conference on Mechanical and Aerospace Engineering (ICMAE), 2018
The pipeline is widely used in various kinds of mechanical equipment, usually fixed by the clamps. It is great important to detect the fixed clamps for the operation of equipment by signal processing. The time domain signal is quite popular in the field of signal processing. There are generally two major types of methods for analyzing time-domain signals. The one ...
2008 International Conference on Condition Monitoring and Diagnosis, 2008
In this contribution statistical analysis were applied to evaluate condition of serviced aged MV power cables systems. Analysis were based on large number of diagnostic data as obtained from the on-site inspections of 89 mass insulated power cables, 26 XLPE insulated power cables and 126 mixed-insulated power cable. Statistical analysis input data was represented with several diagnostic parameters regarding to ...
2011 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2011
Wavelets have been successfully used in statistical analysis of fMRI data as a spatial transform providing a compact representation of brain activation maps. However, conventional (tensor-product) wavelet transforms assume a rectangular domain, while the essential brain activity takes place in the convoluted gray- matter layer. We use the lifting scheme to design wavelet bases for more arbitrary domains which do ...
26th Annual MTT-AP Symposium and Mini Show - Dr. Ajay Poddar
Vladimir Cherkassky - Predictive Learning, Knowledge Discovery and Philosophy of Science
A Bayesian Approach for Spatial Clustering - IEEE CIS Webinar
Challenging the stigma surrounding the role of women in technology, a journey from combinatorial optimization to IBM
IMS 2011 Microapps - Yield Analysis During EM Simulation
IMS 2011 Microapps - A Practical Approach to Verifying RFICs with Fast Mismatch Analysis
IMS MicroApps: Multi-Rate Harmonic Balance Analysis
Dictionary Learning: Principles, Algorithms, Guarantees
IMS 2012 Microapps - Improve Microwave Circuit Design Flow Through Passive Model Yield and Sensitivity Analysis
New Approach of Vehicle Electrification: Analysis of Performance and Implementation Issue
A Flexible Testbed for 5G Waveform Generation and Analysis: MicroApps 2015 - Keysight Technologies
Similarity and Fuzzy Logic in Cluster Analysis
Vladimir Vapnik accepts the IEEE John Von Neumann Medal - Honors Ceremony 2017
Spectrum Analysis: RF Boot Camp
Surgical Robotics: Analysis and Control Architecture for Semiautonomous Robotic Surgery
IMS 2012 Microapps - Generation and Analysis Techniques for Cost-efficient SATCOM Measurements Richard Overdorf, Agilent
Louis Scharf - Honors Ceremony 2016 Red Carpet Interview
IMS 2011 Microapps - Tools for Creating FET and MMIC Thermal Profiles
Zohara Cohen AMA EMBS Individualized Health
Switching reliability, repeatability and stability are crucial in Automated Test Equipment (ATE). There is an inherent variability in a mechanical switch and after an extended number of cycles, will cause an out tolerance condition. This could present itself as an intermittent test failure that will require isolation to the Unit Under Test (UUT) or the ATE. A method that could detect anomalous switching behavior and predict potential switching issues would be very beneficial. It could potentially preclude failures due to deviations in ATE paths caused by switching variability. This paper will discuss a method to test switches within the ATE system and identify suspect switches. The testing methodology is based on an existing system self-test. It can be implemented as an enhancement to the existing code or as a standalone test. Each group of tests within the switching self-test is repeated multiple times and data is captured for all iterations. Statistical analysis is then applied to the acquired data. The test data is assessed for two parametric characteristics; the average value and standard deviation of the repetitive measurements taken for each switch path. The data can be exported to a spreadsheet or calculated within the self-test code. Maximum limits are determined based on the resistive path and number of switches. These limits are then compared to the statistical results. The results can be displayed numerically and also be displayed graphically. Charts can be generated if the results are exported to a spreadsheet. This expanded testing can be performed on a periodic basis but less frequently than the existing self-test. The testing can be expanded to include an adapter built for the specific application. It would include wrap- around wiring and connectors to mate to the front panels of the switch modules. This would isolate the switches from the system and permit testing of just the switches without the system wiring. The approach and method of utilizing statistical analysis of self-test data provides a means to identify early signs of variability and initiate a proactive repair of degrading switches.
The malicious code detection based on behaviors has proved effective. But there are high false positives and high false negatives when using this method. Because the behaviors are always out-of-order and redundant. To solve these problems, this paper proposes a detection method based on statistical analysis. Firstly, this method uses association rules to sort out the behaviors, and then we can get the integrated and accurate behavior sequences. Secondly, by using the association algorithm we can pick up the signatures of behavior sequences. In addition, this method can detect the signatures to judge the threat based on statistical analysis. Experimental results indicate that it can reduce both the false positives and the false negatives effectively.
The pipeline is widely used in various kinds of mechanical equipment, usually fixed by the clamps. It is great important to detect the fixed clamps for the operation of equipment by signal processing. The time domain signal is quite popular in the field of signal processing. There are generally two major types of methods for analyzing time-domain signals. The one is that the time domain signal is converted into other domains such as frequency domain and time frequency domain; the other is using statistical analysis methods to analyze signals. This paper presents a new feature extraction method based on statistical analysis, which is called the number of conformation patterns (CPN). The phase space reconstruction of time series is carried out, and the numbers of conformation patterns with different embedding dimensions are counted to be features for the signal. Through the simulation analysis, the characteristic values are sensitive to the frequency of the signal. This method is used to analyze the experimental data of the looseness of the pipeline clamp, and the results show that CPN can effectively detect the different degrees of clamp looseness.
In this contribution statistical analysis were applied to evaluate condition of serviced aged MV power cables systems. Analysis were based on large number of diagnostic data as obtained from the on-site inspections of 89 mass insulated power cables, 26 XLPE insulated power cables and 126 mixed-insulated power cable. Statistical analysis input data was represented with several diagnostic parameters regarding to partial discharges phenomenon (PD). Investigated parameters were obtained with application of damped AC (DAC) diagnostic system during on-site tests. After a survey of all relevant parameters describing condition of the particular cable system components, sub-groups of different cable accessories were created (e.g. joints, termination, insulation types) For proper interpretation of collected data related to cable insulation condition as well as different accessories condition, categorization based on such diagnostic parameters e.g. PDIV (partial discharge inception voltage), PD occurrence, and PD mappings was assumed. Moreover investigated statistically PD parameters were employed to estimate experience norms and measuring criteria. Based on knowledge rules and estimated statistically norms example of so called ldquoexperimental condition indexrdquo was used to indicate overall condition of discussed MV power cables systems.
Wavelets have been successfully used in statistical analysis of fMRI data as a spatial transform providing a compact representation of brain activation maps. However, conventional (tensor-product) wavelet transforms assume a rectangular domain, while the essential brain activity takes place in the convoluted gray- matter layer. We use the lifting scheme to design wavelet bases for more arbitrary domains which do not have a group structure. In particular, we have considered the grey-matter cortical layer as the domain. We then applied the new transform to fMRI data using the wavelet-based SPM (WSPM) framework. Preliminary results show that the adapted wavelets have superior performance in terms of sensitivity than the standard tensor-product wavelets, while having the same control over type-I error rate (specificity).
We introduce a novel asymmetric watermarking scheme, involving a private key for embedding and a public key for detection, and we detail its statistical analysis, relying on Neyman-Pearson criterion. The proposed scheme solves part of the problems connected to previous watermarking approaches based on linear algebra. In particular, special attention is paid at reducing the side information required at the detector, as well as at achieving higher robustness by enphasizing the contribution of the watermark in the detection phase.
To extract information automatically from semi-structured Web pages, this paper puts forward a method named IESS for discovering the record model based on DOM and maximal similar sub tree, to identify records automatically and correctly when there are some differences in expression models of records that belong to the same type. To test the performance of the method, a scientific literature statistical analysis system is designed. The practice shows that users can quickly understand the distribution of papers in their retrieving field and grasp the importance with the help of the system.
Partial Discharge (PD) detection and diagnostics is an established tool to test the condition of the insulation in HV-facilities. One basic question while performing PD measurements is the one concerning the type and location of the defect. Under AC stress there are several instruments to interpret the measured PD, most important the phase angle histogram. At DC voltages this approach is inapplicable and therefore new parameters to analyze PD under DC stress have to be identified. In this paper it is shown, that a statistical analysis of pulse shape parameters can give information about the type of defect and thus could be used for DC-PD diagnostics.
Scalable extension (SHVC) of the High Efficiency Video Coding HEVC was developed to ameliorate the coding efficiency for different types of scalability. In this paper, a survey for SHVC extensions is investigated. We describe its scalability types and explain the different additional coding features that further improve the Enhancement Layer (EL) coding efficiency. Furthermore, we evaluate and prove the effectiveness of the SHVC through experimental results for different coding configurations reduction of about. Based on statistical analysis, depth 0 (64×64) can reach more than 75% of use in B1 frame. This statistics helped us explore deeply on the prediction mode percentages.
In this paper, a generalized anisotropic polynomial chaos approach for the fast statistical analysis of nonlinear radio-frequency (RF) circuits is proposed. This approach relies on a high dimensional model representation (HDMR) formulation in order to determine the maximum degree of the PC expansion along each random dimension separately. The resultant anisotropic multidimensional PC expansion of the circuit response is significantly sparse compared to the conventional isotropic expansion, thereby requiring substantially smaller time and memory cost for construction without significant loss of accuracy. The validity of the proposed methodology is demonstrated using a RF low noise amplifier example.
The scope of this document is to provide guidance for conducting and assessing reliability predictions (techniques and methods) for electronic products and systems.
Processes and methodologies for conducting reliability predictions for electronic systems and equipment.
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.