Relevant bibliographies by topics / Interval filter

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Academic literature on the topic 'Interval filter'

Author: Grafiati
Published: 14 September 2024

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Journal articles on the topic "Interval filter"

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Khan, Hidayat Ullah, Asghar Khan, Faiz Muhammad Khan, Amir Khan, and Muhammad Taj. "A NEW VIEW OF FUZZY ORDERED SEMIGROUPS." Open Journal of Science and Technology 1, no. 1 (November 14, 2018): 9–17. http://dx.doi.org/10.31580/ojst.v1i1.150.

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fuzzy coding theory, fuzzy finite state machines, and fuzzy languages. In this paper, we introduce the concept of an interval-valued -fuzzy filter of an ordered semigroup, where with. Since the concept of an interval-valued -fuzzy filter is an important and useful generalization of the ordinary interval-valued fuzzy filter, we discuss some fundamental aspects of an interval-valued -fuzzy filters. An interval-valued -fuzzy filter is a generalization of the existing concept of an interval-valued fuzzy filter. We discuss the concept of an interval-valued -fuzzy left (right)-filters and provide some characterization theorems. Finally, we extend the concept of an interval-valued fuzzy subgroup with thresholds to the concept of an interval-valued fuzzy left (right)-filter with thresholds of s.
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Ji, Hui, Songlin Nie, and Yeqing Huang. "An interval-fuzzy two-stage stochastic programming method for filter management of hydraulic systems." Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science 229, no. 15 (December 9, 2014): 2788–809. http://dx.doi.org/10.1177/0954406214563737.

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An interval-fuzzy two-stage stochastic programming model for filter management of hydraulic system under uncertainties is proposed in this paper. The interval-fuzzy two-stage stochastic programming model integrates the two-stage stochastic programming, fuzzy programming, and interval parameter nonlinear programming into an optimization model of contamination control in hydraulic system. For a typical hydraulic system, it can be used for expressing the uncertainties existed in the purchase cost of filters, contamination ingression and generation rates, and contamination-holding capacity as probability functions, interval numbers, and fuzzy sets. The developed method is applied to examining the decisions on the adoption of bypass filter and selection of filters within multi-segments, multi-period, and multi-option context. All potential scenarios of filters management policy associated with different economic penalties, objectives, and reliability of system are analyzed. The results of the illustrative example show that the reasonable solutions are generated, including binary and continuous variables which help the decision maker identify optimal strategies for filter allocation and selection, planning the adoption of bypass filter under different working conditions.
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Louédec, Morgan, and Luc Jaulin. "Interval Extended Kalman Filter—Application to Underwater Localization and Control." Algorithms 14, no. 5 (April 29, 2021): 142. http://dx.doi.org/10.3390/a14050142.

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The extended Kalman filter has been shown to be a precise method for nonlinear state estimation and is the facto standard in navigation systems. However, if the initial estimated state is far from the true one, the filter may diverge, mainly due to an inconsistent linearization. Moreover, interval filters guarantee a robust and reliable, yet unprecise and discontinuous localization. This paper proposes to choose a point estimated by an interval method, as a linearization point of the extended Kalman filter. We will show that this combination allows us to get a higher level of integrity of the extended Kalman filter.
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Ning Xiao-Lei, Wang Hong-Li, Zhang Qi, and Chen Lian-Hua. "Interval diffracted particle filter." Acta Physica Sinica 59, no. 7 (2010): 4426. http://dx.doi.org/10.7498/aps.59.4426.

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Heine, Kari, and Dan Crisan. "Uniform approximations of discrete-time filters." Advances in Applied Probability 40, no. 4 (December 2008): 979–1001. http://dx.doi.org/10.1239/aap/1231340161.

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Throughout recent years, various sequential Monte Carlo methods, i.e. particle filters, have been widely applied to various applications involving the evaluation of the generally intractable stochastic discrete-time filter. Although convergence results exist for finite-time intervals, a stronger form of convergence, namely, uniform convergence, is required for bounding the error on an infinite-time interval. In this paper we prove easily verifiable conditions for the filter applications that are sufficient for the uniform convergence of certain particle filters. Essentially, the conditions require the observations to be accurate enough. No mixing or ergodicity conditions are imposed on the signal process.
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Heine, Kari, and Dan Crisan. "Uniform approximations of discrete-time filters." Advances in Applied Probability 40, no. 04 (December 2008): 979–1001. http://dx.doi.org/10.1017/s0001867800002937.

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Throughout recent years, various sequential Monte Carlo methods, i.e. particle filters, have been widely applied to various applications involving the evaluation of the generally intractable stochastic discrete-time filter. Although convergence results exist for finite-time intervals, a stronger form of convergence, namely, uniform convergence, is required for bounding the error on an infinite-time interval. In this paper we prove easily verifiable conditions for the filter applications that are sufficient for the uniform convergence of certain particle filters. Essentially, the conditions require the observations to be accurate enough. No mixing or ergodicity conditions are imposed on the signal process.
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Palanivel, Kaliyaperumal, Prakasam Muralikrishna, Perumal Hemavathi, Ronnason Chinram, and Pattarawan Singavananda. "Interval Valued Intuitionistic Fuzzy β-Filters on β-Algebras." International Journal of Analysis and Applications 20 (September 26, 2022): 50. http://dx.doi.org/10.28924/2291-8639-20-2022-50.

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This study establishes the concept of interval valued intuitionistic fuzzy (InVInF) β-filters on β-algebras and a few of its related properties are investigated. Some compelling results of interval valued fuzzy β-filters have been examined. Further, the notions of products and strong β-filters are also introduced. In addition that, the level set and homomorphism of interval valued intuitionistic fuzzy β-filters are too discussed. Furthermore, we enacted that the intersection between two interval valued intuitionistic fuzzy β−filters is again an interval valued intuitionistic fuzzy β-filter.
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Hujo, Ľubomír, Juraj Jablonický, Juraj Tulík, Ján Kosiba, Jerzy Kaszkowiak, and Matej Michalides. "Verification Measurement of Laboratory Test Equipment for Evaluation of Technical Properties of Automotive Oil Filters." Applied Sciences 11, no. 18 (September 11, 2021): 8435. http://dx.doi.org/10.3390/app11188435.

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By simulating the operating conditions, it is possible to verify and evaluate the technical properties of motor vehicle oil filters and the functionality of the designed equipment. Contaminated engine oil from operation was used with MANN W950/26 oil filter and a CNH Industrial 2992242 oil filter in the test circuit. Before use, the level of engine oil contamination in the test circuit was determined by evaluating the physicochemical properties. The laboratory test equipment also allows monitoring the technical life of oil filters, with variously contaminated engine oil, with the possibility of extending engine oil change service intervals depending on changes in the physicochemical properties of engine oil and filter efficiency. These laboratory tests can be performed in parallel in two hydraulic circuits, which can significantly reduce the testing time of the filter capabilities of oil filters, without the risk of engine damage, provided that the tests were performed under operating conditions. The results of the evaluation of the filtration capacity of oil filters can be used in the design of new filter materials, but also with a suitably determined methodology of oil filter replacement and engine oil change interval, it is possible to extend replacement intervals, which has a significant benefit not only from an economic but also ecological point of view. The result of the measurements is the confirmation of the functionality of the device with the possibility of simulating the operating conditions, at different degrees of oil contamination, at different operating temperatures and using different oil filters.
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Yang, Yanting, Yan Liang, Linfeng Xu, Yuemei Qin, and Yanbo Yang. "Robust interval-constrained H ∞ filter." IET Control Theory & Applications 11, no. 7 (April 25, 2017): 908–14. http://dx.doi.org/10.1049/iet-cta.2016.1472.

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Ansari, Aiysha, Padmaja Ramaiah, Lillian Collazo, Hamisu M. Salihu, and Donna Haiduven. "Comparison of Visual versus Microscopic Methods to Detect Blood Splatter from an Intravascular Catheter with Engineered Sharps Injury Protection." Infection Control & Hospital Epidemiology 34, no. 11 (November 2013): 1174–80. http://dx.doi.org/10.1086/673462.

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Objective.To determine whether retractable intravenous devices produced blood splatter and whether blood splatter frequency differed between visual and microscopy detection methods.Methods.In this laboratory-based experiment, 105 venipunctures were performed in a simulated brachial vein containing mock venous blood. The retraction mechanism was activated in a testing chamber with precut fabric filters, placed at 3 different locations, to capture blood splatter. Differences in filter mass, visual inspection, and microscopic analysis for presence of blood on filters were the units of analysis. Descriptive statistics, paired Student t tests, and k statistics were used for data analysis.Results.Blood splatter was detected visually and microscopically as follows: filter A, 70% and 71%, respectively; filter B, 12% and 9%, respectively; and filter C, 13% and 10%, respectively. A statistically significant difference was observed in the mean mass of filter A between before and after activation when confirmed by the naked eye (P = .014) and microscopically (P = .0092). Substantial agreement between methods was observed for filter A (k = 0.78 [95% confidence interval, 0.64-0.92]), filter B (k = 0.73 [95% confidence interval, 0.51-0.95]), and filter C (k = 0.75 [95% confidence interval, 0.55-0.96]). However, blood was detected by microscopy and not by the naked eye in 7 instances (7%).Conclusions.Our findings demonstrate that splatter, which can potentially expose healthcare workers (HCWs) to bloodborne pathogens, is associated with the activation of intravascular catheters with retraction mechanisms. HCWs may not detect this splatter when it occurs and may not report a splash to mucous membranes or nonintact skin. The need to wear personal protective equipment when using such devices is reinforced.
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Dissertations / Theses on the topic "Interval filter"

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Avcu, Soner. "Radar Pulse Repetition Interval Tracking With Kalman Filter." Thesis, METU, 2006. http://etd.lib.metu.edu.tr/upload/12607691/index.pdf.

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In this thesis, the radar pulse repetition interval (PRI) tracking with Kalman Filter problem is investigated. The most common types of PRIs are constant PRI, step (jittered) PRI, staggered PRI, sinusoidally modulated PRI. This thesis considers the step (this type of PRI agility is called as constant PRI when the jitter on PRI values is eliminated) and staggered PRI cases. Different algorithms have been developed for tracking step and staggered PRIs cases. Some useful simplifications are obtained in the algorithm developed for step PRI sequence. Two different algorithms robust to the effects of missing pulses obtained for staggered PRI sequence are compared according to estimation performances. Both algorithms have two parts: detection of the period part and a Kalman filter model. The advantages and disadvantages of these algorithms are presented. Simulations are implemented in MATLAB.
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Janapala, Arun. "RR INTERVAL ESTIMATION FROM AN ECG USING A LINEAR DISCRETE KALMAN FILTER." Master's thesis, University of Central Florida, 2005. http://digital.library.ucf.edu/cdm/ref/collection/ETD/id/3426.

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An electrocardiogram (ECG) is used to monitor the activity of the heart. The human heart beats seventy times on an average per minute. The rate at which a human heart beats can exhibit a periodic variation. This is known as heart rate variability (HRV). Heart rate variability is an important measurement that can predict the survival after a heart attack. Studies have shown that reduced HRV predicts sudden death in patients with Myocardial Infarction (MI). The time interval between each beat is called an RR interval, where the heart rate is given by the reciprocal of the RR interval expressed in beats per minute. For a deeper insight into the dynamics underlying the beat to beat RR variations and for understanding the overall variance in HRV, an accurate method of estimating the RR interval must be obtained. Before an HRV computation can be obtained the quality of the RR interval data obtained must be good and reliable. Most QRS detection algorithms can easily miss a QRS pulse producing unreliable RR interval values. Therefore it is necessary to estimate the RR interval in the presence of missing QRS beats. The approach in this thesis is to apply KALMAN estimation algorithm to the RR interval data calculated from the ECG. The goal is to improve the RR interval values obtained from missed beats of ECG data.
M.S.E.E.
Department of Electrical and Computer Engineering
Engineering and Computer Science
Electrical Engineering
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Motwani, Amit. "Interval Kalman filtering techniques for unmanned surface vehicle navigation." Thesis, University of Plymouth, 2015. http://hdl.handle.net/10026.1/3368.

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This thesis is about a robust filtering method known as the interval Kalman filter (IKF), an extension of the Kalman filter (KF) to the domain of interval mathematics. The key limitation of the KF is that it requires precise knowledge of the system dynamics and associated stochastic processes. In many cases however, system models are at best, only approximately known. To overcome this limitation, the idea is to describe the uncertain model coefficients in terms of bounded intervals, and operate the filter within the framework of interval arithmetic. In trying to do so, practical difficulties arise, such as the large overestimation of the resulting set estimates owing to the over conservatism of interval arithmetic. This thesis proposes and demonstrates a novel and effective way to limit such overestimation for the IKF, making it feasible and practical to implement. The theory developed is of general application, but is applied in this work to the heading estimation of the Springer unmanned surface vehicle, which up to now relied solely on the estimates from a traditional KF. However, the IKF itself simply provides the range of possible vehicle headings. In practice, the autonomous steering system requires a single, point-valued estimate of the heading. In order to address this requirement, an innovative approach based on the use of machine learning methods to select an adequate point-valued estimate has been developed. In doing so, the so called weighted IKF (wIKF) estimate provides a single heading estimate that is robust to bounded model uncertainty. In addition, in order to exploit low-cost sensor redundancy, a multi-sensor data fusion algorithm compatible with the wIKF estimates and which additionally provides sensor fault tolerance has been developed. All these techniques have been implemented on the Springer platform and verified experimentally in a series of full-scale trials, presented in the last chapter of the thesis. The outcomes demonstrate that the methods are both feasible and practicable, and that they are far more effective in providing accurate estimates of the vehicle’s heading than the conventional KF when there is uncertainty in the system model and/or sensor failure occurs.
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Nicklas, Richard B. "An application of a Kalman Filter Fixed Interval Smoothing Algorithm to underwater target tracking." Thesis, Monterey, California. Naval Postgraduate School, 1989. http://hdl.handle.net/10945/25691.

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A Fortran program was developed to implement a Kalman Filter and Fixed Interval Smoothing Algorithm to optimally data tracks generated by the short base-line tracking ranges at the Naval Torpedo Station, Keyport, Washington. The program is designed to run on a personal computer and requires as input a data file consisting of X, Y, and Z position coordinates in sequential order. Data files containing the filtered and smoothed estimates are generated by the program. This algorithm uses a second order linear model to predict a typical target's dynamics. The program listings are includes as appendices. Several runs of the program were performed using actual range data as inputs. Results indicate that the program effectively reduces random noise, thus providing very smooth target tracks which closely follow the raw data. Tracks containing data generated in an overlap region where one array hands off the target to the next array are highlighted. The effects of varying the magnitude of the excitation matrix Q(k) are also explored. This program is seen as a valuable post-data analysis tool for the current tracking range data. In addition, it can easily be modified to provide improved real time, on line tracking using the Kalman Filter portion of the algorithm alone
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Galinis, William J. "Fixed interval smoothing algorithm for an extended Kalman filter for over-the-horizon ship tracking." Thesis, Monterey, California. Naval Postgraduate School, 1989. http://hdl.handle.net/10945/27057.

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The performance of an extended Kalman filter used to track a maneuvering surface target using HFDF lines-of-bearing is substantially improved by implementing a fixed interval smoothing algorithm and a maneuver detection method that uses a noise variance estimator process. This tracking routine is designed and implemented in a computer program developed for this thesis. The Hall noise model is used to accurately evaluate the performance of the tracking algorithm in a noisy environment. Several tracking scenarios are simulated and analyzed. The application of the Kalman tracker to a tropical storm tracking is investigated. Actual storm tracks obtained from the Joint Typhoon Warning Center in Guam, Mariana Islands are used for this research
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Mohammedi, Irryhl. "Contribution à l’estimation robuste par intervalle des systèmes multivariables LTI et LPV : Application aux systèmes aérospatiaux." Electronic Thesis or Diss., Bordeaux, 2024. http://www.theses.fr/2024BORD0142.

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Les travaux présentés dans ce mémoire de thèse visent à développer de nouvelles approches basées sur une nouvelle classe particulière d’estimateurs d´état : les filtres dits par intervalles. Tout comme la classe des observateurs intervalles, l’objectif est d’estimer les bornes supérieures et inférieures des états d’un système, à chaque instant de temps. L’approche proposée repose sur la théorie des systèmes monotones et sur la connaissance a priori du domaine d’appartenance, supposé borné, des incertitudes de modèle et des entrées exogènes (perturbations, bruit de mesure, etc). L’élément clé de l’approche proposée repose sur l’utilisation de filtre d’ordre quelconque, sans structure a priori fixée, plutôt qu’une structure basée sur l’observateur (reposant uniquement sur une structure dynamique du système étudié). La synthèse des paramètres du filtre repose sur la résolution d’un problème d’optimisation sous contraintes de type inégalités matricielles linéaires et bilinéaires (LMI et BMI) permettant de garantir simultanément les conditions d’existence du filtre ainsi qu’un niveau de performance, soit dans un contexte énergie, soit dans un contexte amplitude ou soit dans un contexte mixte énergie/amplitude. La méthodologie de synthèse proposée est illustrée sur un exemple académique et est comparée avec d’autres méthodes existantes dans la littérature. Enfin, la méthodologie est appliquée au cas du contrôle d’attitude et d’orbite d’un satellite, sous des conditions de simulations réalistes
The work of this thesis aims at developing new approaches based on a new particular class of state estimators, the so-called interval or ensemble filters.Like the class of interval observers, the objective is to estimate, in a guaranteed way, the upper and lower bounds of the states of a system, at each time instant.The proposed approach is based on the theory of monotonic systems and on the knowledge of the domain of membership, supposedly bounded, of the uncertainties of the system, such as disturbances, noise and bias of sensors, etc.The key element of the proposed approach is to use a filter structure advantage, rather than an observer-based structure (relying only on a dynamic structure of the studied system).The synthesis of the filter parameters is based on the resolution of a constrained optimization problem of linear and bilinear matrix inequalities (LMI and BMI) allowing to guarantee simultaneously the existence conditions of the filter as well as a performance level, either in an energy context for LTI systems, or in an amplitude context or in a mixed energy/amplitude context for LPV systemsThe proposed synthesis methodology is illustrated on an academic example and is compared with other existing methods in the literature. Finally, the methodology is applied to the case of attitude and acceleration control of a satellite, under realistic simulation conditions
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Al, Mashhadani Waleed. "The use of multistaic radar in reducing the impact of wind farm on civilian radar system." Thesis, University of Manchester, 2017. https://www.research.manchester.ac.uk/portal/en/theses/the-use-of-multistaic-radar-in-reducing-the-impact-of-wind-farm-on-civilian-radar-system(a80fd906-e670-42a0-9efb-ea22250c87f2).html.

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The effects of wind farm installation on the conventional monostatic radar operation have been investigated in previous studies. The interference on radar operation is due to the complex scattering characteristics from the wind turbine structure. This research considers alternative approach for studying and potentially mitigating these negative impacts by adapting the multistatic radar system technique. This radar principle is well known and it is attracting research interest recently, but has not been applied in modelling the wind farm interference on multistatic radar detection and tracking of multiple targets. The research proposes two areas of novelties. The first area includes the simulation tool development of multistatic radar operation near a wind farm environment. The second area includes the adaptation of Range-Only target detection approach based on mathematical and/or statistical methods for target detection and tracking, such as Interval Analysis and Particle Filter. These methods have not been applied against such complex detection scenario of large number of targets within a wind farm environment. Range-Only target detection approach is often considered to achieve flexibility in design and reduction in cost and complexity of the radar system. However, this approach may require advanced signal processing techniques to effectively associate measurements from multiple sensors to estimate targets positions. This issue proved to be more challenging for the complex detection environment of a wind farm due to the increase in number of measurements from the complex radar scattering of each turbine. The research conducts a comparison between Interval Analysis and Particle Filter. The comparison is based on the performance of the two methods according to three aspects; number of real targets detected, number of ghost targets detected and the accuracy of the estimated detections. Different detection scenarios are considered for this comparison, such as single target detection, wind farm detection, and ultimately multiple targets at various elevations within a wind farm environment.
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Ipek, Ozlem. "Target Tracking With Phased Array Radar By Using Adaptive Update Rate." Master's thesis, METU, 2010. http://etd.lib.metu.edu.tr/upload/2/12611589/index.pdf.

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In radar target tracking problems, it may be required to use adaptive update rate in order to maintain the tracking accuracy while allowing the radar to use its resources economically at the same time. This is generally the case if the target trajectory has maneuvering segments and in such a case the use of adaptive update time interval algorithms for estimation of the target state may enhance the tracking accuracy. Conventionally, fixed track update time interval is used in radar target tracking due to the traditional nature of mechanically steerable radars. In this thesis, as an application to phased array radar, the adaptive update rate algorithm approach developed in literature for Alpha-Beta filter is extended to Kalman filter. A survey over relevant adaptive update rate algorithms used previously in literature on radar target tracking is presented including aspects related to the flexibility of these algorithms for the tracking filter. The investigation of the adaptive update rate algorithms is carried out for the Kalman filter for the single target tracking problem where the target has a 90°
maneuvering segment in its trajectory. In this trajectory, the starting and final time instants of the single maneuver are specified clearly, which is important in the assessment of the algorithm performances. The effects of incorporating the variable update time interval into target tracking problem are presented and compared for several different test cases.
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Nicola, Jérémy. "Robust, precise and reliable simultaneous localization and mapping for and underwater robot. Comparison and combination of probabilistic and set-membership methods for the SLAM problem." Thesis, Brest, 2017. http://www.theses.fr/2017BRES0066/document.

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Dans cette thèse on s'intéresse au problème de la localisation d'un robot sous-marin et de la cartographie en simultané d'un jeu de balises acoustiques installées sur le fond marin, en utilisant un distance-mètre acoustique et une centrale inertielle. Nous nous focalisons sur les deux approches principales utilisées pour résoudre ce type de problème: le filtrage de Kalman et le filtrage ensembliste basé sur l'analyse par intervalles. Le filtre de Kalman est optimal quand les équations d'état du robot sont linéaires et les bruits sont additifs, Gaussiens. Le filtrage par intervalles ne modélise pas les incertitudes dans un cadre probabiliste, et ne fait qu'une seule hypothèse sur leur nature: elles sont bornées. De plus, l'approche utilisant les intervalles permet la propagation rigoureuse des incertitudes, même quand les équations sont non linéaires. Cela résulte en une estimation hautement fiable, au prix d'une précision réduite. Nous montrons que dans un contexte sous-marin, quand le robot est équipé avec une centrale inertielle de haute précision, une partie des équations du SLAM peut raisonnablement être considérée comme linéaire avec un bruit Gaussien additif, en faisant le terrain de jeu idéal d'un filtre de Kalman. De l'autre côté, les équations liées aux observations du distance-mètre acoustique sont bien plus problématiques: le système n'est pas observable, les équations sont non linéaires, et les outliers sont fréquents. Ces conditions sont idéales pour une approche à erreur bornées basée sur l'analyse par intervalles. En prenant avantage des propriétés des bruits Gaussiens, cette thèse réconcilie le traitement probabiliste et ensembliste des incertitudes pour les systèmes aussi bien linéaires que non linéaires sujets à des bruits Gaussiens additifs. En raisonnant de manière géométrique, nous sommes capables d'exprimer la partie des équations du filtre de Kalman modélisant la dynamique du véhicule dans un cadre ensembliste. De la même manière, un traitement plus rigoureux et précis des incertitudes est décrit pour la partie des équations du filtre de Kalman liée aux mesures de distances. Ces outils peuvent ensuite être combinés pour obtenir un algorithme de SLAM qui est fiable, précis et robuste. Certaines des méthodes développées dans cette thèse sont illustrées sur des données réelles
In this thesis, we work on the problem of simultaneously localizing an underwater robot while mapping a set of acoustic beacons lying on the seafloor, using an acoustic range-meter and an inertial navigation system. We focus on the two main approaches classically used to solve this type of problem: Kalman filtering and set-membership filtering using interval analysis. The Kalman filter is optimal when the state equations of the robot are linear, and the noises are additive, white and Gaussian. The interval-based filter do not model uncertainties in a probabilistic framework, and makes only one assumption about their nature: they are bounded. Moreover, the interval-based approach allows to rigorously propagate the uncertainties, even when the equations are non-linear. This results in a high reliability in the set estimate, at the cost of a reduced precision.We show that in a subsea context, when the robot is equipped with a high precision inertial navigation system, a part of the SLAM equations can reasonably be seen as linear with additive Gaussian noise, making it the ideal playground of a Kalman filter. On the other hand, the equations related to the acoustic range-meter are much more problematic: the system is not observable, the equations are non-linear, and the outliers are frequent. These conditions are ideal for a set-based approach using interval analysis.By taking advantage of the properties of Gaussian noises, this thesis reconciles the probabilistic and set-membership processing of uncertainties for both linear and non-linear systems with additive Gaussian noises. By reasoning geometrically, we are able to express the part of the Kalman filter equations linked to the dynamics of the vehicle in a set-membership context. In the same way, a more rigorous and precise treatment of uncertainties is described for the part of the Kalman filter linked to the range-measurements. These two tools can then be combined to obtain a SLAM algorithm that is reliable, precise and robust. Some of the methods developed during this thesis are demonstrated on real data
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Akhbari, Mahsa. "Analyse des intervalles ECG inter- et intra-battement sur des modèles d'espace d'état et de Markov cachés." Thesis, Université Grenoble Alpes (ComUE), 2016. http://www.theses.fr/2016GREAT026.

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Les maladies cardiovasculaires sont l'une des principales causes de mortalité chez l'homme. Une façon de diagnostiquer des maladies cardiaques et des anomalies est le traitement de signaux cardiaques tels que le ECG. Dans beaucoup de ces traitements, des caractéristiques inter-battements et intra-battements de signaux ECG doivent être extraites. Ces caractéristiques comprennent les points de repère des ondes de l’ECG (leur début, leur fin et leur point de pic), les intervalles significatifs et les segments qui peuvent être définis pour le signal ECG. L'extraction des points de référence de l'ECG consiste à identifier l'emplacement du pic, de début et de la fin de l'onde P, du complexe QRS et de l'onde T. Ces points véhiculent des informations cliniquement utiles, mais la segmentation precise de chaque battement de l'ECG est une tâche difficile, même pour les cardiologues expérimentés.Dans cette thèse, nous utilisons un cadre bayésien basé sur le modèle dynamique d'ECG proposé par McSharry. Depuis ce modèle s'appuyant sur la morphologie des ECG, il peut être utile pour la segmentation et l'analyse d'intervalles d'ECG. Afin de tenir compte de la séquentialité des ondes P, QRS et T, nous utiliserons également l'approche de Markov et des modèles de Markov cachés (MMC). En bref dans cette thèse, nous utilisons un modèle dynamique (filtre de Kalman), un modèle séquentiel (MMC) et leur combinaison (commutation de filtres de Kalman (SKF)). Nous proposons trois méthodes à base de filtres de Kalman, une méthode basée sur les MMC et un procédé à base de SKF. Nous utilisons les méthodes proposées pour l'extraction de points de référence et l'analyse d'intervalles des ECG. Le méthodes basées sur le filtrage de Kalman sont également utilisés pour le débruitage d'ECG, la détection de l'alternation de l'onde T, et la détection du pic R de l'ECG du foetus.Pour évaluer les performances des méthodes proposées pour l'extraction des points de référence de l'ECG, nous utilisons la base de données "Physionet QT", et une base de données "Swine" qui comprennent ECG annotations de signaux par les médecins. Pour le débruitage d'ECG, nous utilisons les bases de données "MIT-BIH Normal Sinus Rhythm", "MIT-BIH Arrhythmia" et "MIT-BIH noise stress test". La base de données "TWA Challenge 2008 database" est utilisée pour la détection de l'alternation de l'onde T. Enfin, la base de données "Physionet Computing in Cardiology Challenge 2013 database" est utilisée pour la détection du pic R de l'ECG du feotus. Pour l'extraction de points de reference, la performance des méthodes proposées sont évaluées en termes de moyenne, écart-type et l'erreur quadratique moyenne (EQM). Nous calculons aussi la sensibilité des méthodes. Pour le débruitage d'ECG, nous comparons les méthodes en terme d'amélioration du rapport signal à bruit
Cardiovascular diseases are one of the major causes of mortality in humans. One way to diagnose heart diseases and abnormalities is processing of cardiac signals such as ECG. In many of these processes, inter-beat and intra-beat features of ECG signal must be extracted. These features include peak, onset and offset of ECG waves, meaningful intervals and segments that can be defined for ECG signal. ECG fiducial point (FP) extraction refers to identifying the location of the peak as well as the onset and offset of the P-wave, QRS complex and T-wave which convey clinically useful information. However, the precise segmentation of each ECG beat is a difficult task, even for experienced cardiologists.In this thesis, we use a Bayesian framework based on the McSharry ECG dynamical model for ECG FP extraction. Since this framework is based on the morphology of ECG waves, it can be useful for ECG segmentation and interval analysis. In order to consider the time sequential property of ECG signal, we also use the Markovian approach and hidden Markov models (HMM). In brief in this thesis, we use dynamic model (Kalman filter), sequential model (HMM) and their combination (switching Kalman filter (SKF)). We propose three Kalman-based methods, an HMM-based method and a SKF-based method. We use the proposed methods for ECG FP extraction and ECG interval analysis. Kalman-based methods are also used for ECG denoising, T-wave alternans (TWA) detection and fetal ECG R-peak detection.To evaluate the performance of proposed methods for ECG FP extraction, we use the "Physionet QT database", and a "Swine ECG database" that include ECG signal annotations by physicians. For ECG denoising, we use the "MIT-BIH Normal Sinus Rhythm", "MIT-BIH Arrhythmia" and "MIT-BIH noise stress test" databases. "TWA Challenge 2008 database" is used for TWA detection and finally, "Physionet Computing in Cardiology Challenge 2013 database" is used for R-peak detection of fetal ECG. In ECG FP extraction, the performance of the proposed methods are evaluated in terms of mean, standard deviation and root mean square of error. We also calculate the Sensitivity for methods. For ECG denoising, we compare methods in their obtained SNR improvement
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Books on the topic "Interval filter"

1

Nicklas, Richard B. An application of a Kalman Filter Fixed Interval Smoothing Algorithm to underwater target tracking. Monterey, Calif: Naval Postgraduate School, 1989.

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Galinis, William J. Fixed interval smoothing algorithm for an extended Kalman filter for over-the-horizon ship tracking. Monterey, California: Naval Postgraduate School, 1989.

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Weinert, Howard L. Fixed interval smoothing for state space models. Boston: Kluwer Academic Publishers, 2001.

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Bar, Moshe. Linux internals. New York: McGraw-Hill, 2000.

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Chappell, Geoff. DOS internals. Reading, Mass: Addison-Wesley, 1994.

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Pietrek, Matt. Windows internals. 5th ed. Washington, DC: Microsoft, 2009.

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Soltis, Shaw Susan, ed. UNIX internals: A systems operation handbook. Blue Ridge Summit, PA: Tab Books, 1987.

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Sales, Jane. Symbian OS Internals. New York: John Wiley & Sons, Ltd., 2005.

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Mauro, Jim. Solaris internals: Core kernel components. Palo Alto, CA: Sun Microsystems, Inc., 2001.

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Blair, Hydrick, United States. Dept. of State., and University Publications of America, Inc., eds. Confidential U.S. State Department central files.: Internal affairs. Frederick, Md: University Publications of America, 1985.

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Book chapters on the topic "Interval filter"

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Catlin, Donald E. "Fixed Interval Smoothing." In Estimation, Control, and the Discrete Kalman Filter, 188–99. New York, NY: Springer New York, 1989. http://dx.doi.org/10.1007/978-1-4612-4528-5_9.

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Sharma, Teena, and Nishchal K. Verma. "Adaptive Interval Type-2 Fuzzy Filter." In Artificial Intelligent Algorithms for Image Dehazing and Non-Uniform Illumination Enhancement, 111–34. Singapore: Springer Nature Singapore, 2024. http://dx.doi.org/10.1007/978-981-97-2011-8_6.

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Wang, Ziyun, Yan Wang, and Zhicheng Ji. "Fault diagnosis based on interval." In Filter Design for System Modeling, State Estimation and Fault Diagnosis, 95–148. Boca Raton: CRC Press, 2022. http://dx.doi.org/10.1201/b23146-5.

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Quislant, Ricardo, Eladio Gutierrez, Oscar Plata, and Emilio L. Zapata. "Interval Filter: A Locality-Aware Alternative to Bloom Filters for Hardware Membership Queries by Interval Classification." In Intelligent Data Engineering and Automated Learning – IDEAL 2010, 162–69. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-15381-5_20.

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Forsythe, W., and R. M. Goodall. "Error Mechanisms, Filter Structure, and the Sampling Interval." In Digital Control, 88–111. London: Macmillan Education UK, 1991. http://dx.doi.org/10.1007/978-1-349-21550-8_4.

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Guru, D. S., and N. Vinay Kumar. "Clustering of Interval Valued Data Through Interval Valued Feature Selection: Filter Based Approaches." In Mining Intelligence and Knowledge Exploration, 270–85. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-66187-8_26.

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Wang, Ziyun, Yan Wang, and Zhicheng Ji. "Design of Interval Set-Membership Based Fault Detection Filter." In Advances in Fault Detection and Diagnosis Using Filtering Analysis, 57–74. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-5959-1_5.

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Li, Hongyi, Ligang Wu, Hak-Keung Lam, and Yabin Gao. "Filter Design of Interval Type-2 Fuzzy-Model-Based Systems." In Analysis and Synthesis for Interval Type-2 Fuzzy-Model-Based Systems, 109–21. Singapore: Springer Singapore, 2016. http://dx.doi.org/10.1007/978-981-10-0593-0_7.

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Zhao, Shen, Yunwei Zhang, XiWei Guo, and Deliang Liu. "Research on the Linear Interpolation of Equal-Interval Fractional Delay Filter." In Lecture Notes in Electrical Engineering, 512–19. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-13-9409-6_60.

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Wen, Chenglin, Chaoyang Zhu, Daxing Xu, and Lidi Quan. "A Non-uniform Quantization Filter Based on Adaptive Quantization Interval in WSNs." In Communications in Computer and Information Science, 595–605. Singapore: Springer Singapore, 2017. http://dx.doi.org/10.1007/978-981-10-5230-9_58.

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Conference papers on the topic "Interval filter"

1

Liang, You, Aerambamoorthy Thavaneswaran, Juan Liyau, Areebah Muhammad, Thimani Ranathungage, and Ruppa Thulasiram. "A Cryptocurrency Multiple Trading Strategy with Kalman Filter Innovation Volatility Interval Forecasts." In 2024 IEEE 48th Annual Computers, Software, and Applications Conference (COMPSAC), 204–9. IEEE, 2024. http://dx.doi.org/10.1109/compsac61105.2024.00037.

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Lu, Quoc-Hung, Soheib Fergani, Carine Jauberthie, and Francoise Le Gall. "Optimally bounded Interval Kalman filter." In 2019 IEEE 58th Conference on Decision and Control (CDC). IEEE, 2019. http://dx.doi.org/10.1109/cdc40024.2019.9028918.

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Li, Ning, Hongbin Ma, and Chenguang Yang. "Interval Kalman filter based RFID indoor positioning." In 2016 Chinese Control and Decision Conference (CCDC). IEEE, 2016. http://dx.doi.org/10.1109/ccdc.2016.7532252.

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Madsen, Stian, and Lars E. Bakken. "Gas Turbine Operation Offshore: Increased Operating Interval and Higher Engine Performance Through Optimized Intake Air Filter System." In ASME Turbo Expo 2016: Turbomachinery Technical Conference and Exposition. American Society of Mechanical Engineers, 2016. http://dx.doi.org/10.1115/gt2016-56066.

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Optimized operation of gas turbines is discussed for six LM2500PE engines at a Statoil North Sea offshore field. Three engines are generator drivers whilst three engines are compressor drivers. Two of the compressor drive engines are running at peak load (T5.4 control), hence the production rate is limited by the available power from these engines. All of the six engines discussed run continuously without redundancy, gas turbine uptime is therefore critical for the field’s production and economy. The performance and operational experience with upgraded inlet air filter systems and online water wash at high water-to-air ratio, as well as successful operation at longer intervals and higher average engine performance are described. For North Sea operation, a key property of the filter system is the ability to handle high humidity and high salt-content through the harsh environment in these waters. The upgraded filter systems analyzed in this paper is a 2-stage system (vane separator stage upstream of the high-efficiency-filter stage), which is a simplified design versus the old traditional 3-stage systems (louvre upstream and vane separator downstream of the filter stage). These 2-stage systems rely on an efficient upstream vane separator to remove the vast majority of water from the airflow before it reaches the high-efficiency filters. The high-efficiency filters are especially designed to withstand moisture. Deposit analysis from the downstream side of the filters has been performed. Extensive testing of both new and used filter elements, of different filter grade and operated at different intervals, has been performed on a filter test rig facility onshore. All six engines have historically been operated with 4-month intervals between maintenance stops. Online wash is performed daily between the maintenance stops at full load (i.e. normal operating load for the subject engine). As a result of successful development and pilot testing of new filters and optimized filter change intervals, as well as successful online water wash, the engine operating intervals are now extended to 6 months with very low deterioration rate. Understanding the gas turbine performance deterioration is of vital importance. Trending of its deviation from the engine baseline facilitates load-independent monitoring of the gas turbine’s condition. Instrument resolution and repeatability are key factors in order to get reasonable results from the performance analysis. Improvement of the package instrumentation has been implemented on three of the analyzed engines, for better performance monitoring. As a result of these analyses, a set of monitoring parameters is suggested for effective diagnostics of compressor degradation. Avenues for further research and development are proposed in order to further increase the understanding of the deterioration mechanisms and the gas turbine performance and response.
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Camlica, Sedat, and Mubeccel Demirekler. "Kalman filter based sinusoidal Pulse Repetition Interval tracking." In 2009 IEEE 17th Signal Processing and Communications Applications Conference (SIU). IEEE, 2009. http://dx.doi.org/10.1109/siu.2009.5136558.

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Do, Le Minh Khoa, Young Suh, and Vinh Nguyen. "Networked Kalman Filter with Sensor Transmission Interval Optimization." In 2006 SICE-ICASE International Joint Conference. IEEE, 2006. http://dx.doi.org/10.1109/sice.2006.315747.

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Abdallah, Fahed, Amadou Gning, and Philippe Bonnifait. "Adapting Particle Filter on Interval Data for Dynamic State Estimation." In 2007 IEEE International Conference on Acoustics, Speech and Signal Processing - ICASSP '07. IEEE, 2007. http://dx.doi.org/10.1109/icassp.2007.366445.

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Wang, Jiawei, Yi Shen, and Miao Zhang. "Robust fault detection filter design for linear switched interval systems." In 2014 26th Chinese Control And Decision Conference (CCDC). IEEE, 2014. http://dx.doi.org/10.1109/ccdc.2014.6852719.

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Tong, Xiaohong, and Chao Tang. "Robotic fish tracking method based on suboptimal interval Kalman filter." In LIDAR Imaging Detection and Target Recognition 2017, edited by Yueguang Lv, Jianzhong Su, Wei Gong, Jian Yang, Weimin Bao, Weibiao Chen, Zelin Shi, Jindong Fei, Shensheng Han, and Weiqi Jin. SPIE, 2017. http://dx.doi.org/10.1117/12.2288914.

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Hu, Jie, Yan Wang, Aiguo Cheng, and Zhihua Zhong. "A Kalman Filtering Mechanism Based on Generalized Interval Probability and its Application in Process Variation Estimation." In ASME 2014 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2014. http://dx.doi.org/10.1115/detc2014-34543.

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The Kalman filter has been widely applied for state identification in controllable systems. As a special case of hidden Markov model, it is based on the assumption of linear dependency relationships and Gaussian noises. The classical Kalman filter does not differentiate systematic error from random error associated with observations. In this paper, we propose an extended Kalman filtering mechanism based on generalized interval probability, where systematic error is represented by intervals, state and observable variables are random intervals, and interval-valued Gaussian distributions model the noises. The prediction and update procedures in the new mechanism are derived. A case study of auto-body side frame assembly is used to illustrate the developed mechanism.
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Reports on the topic "Interval filter"

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SMITH, K. E. Multi-Canister overpack internal HEPA filters. Office of Scientific and Technical Information (OSTI), November 1998. http://dx.doi.org/10.2172/11253.

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Konzen, Kevin K., and Stephanie R. Doll. 222-S Pre-Filter: Radiological Evaluation of Worker Potential Internal Dose. Office of Scientific and Technical Information (OSTI), January 2019. http://dx.doi.org/10.2172/1491747.

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Lavoie, D., V. Tremblay, and C. Rivard. Sandstone composition and diagenesis of the Paskapoo Formation and their significance for shallow groundwater aquifer in the Fox Creek area, west-central Alberta. Natural Resources Canada/CMSS/Information Management, 2023. http://dx.doi.org/10.4095/331923.

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The shallow aquifer in the Fox Creek area is hosted by the Paleocene Paskapoo Formation. The formation consists of fluvial deposits with channel-filled high-energy sandstone cutting through fine-grained, low energy overbank sediments. Three internal members are recognized, these members define three hydrostratigraphic units (two aquifers versus one aquitard). In fall 2022, three boreholes were drilled and cored. The succession is slightly dominated by sandstone with subordinate fine-grained sediments and thin coal intervals. The calcareous to non-calcareous sandstone is either tight and well compacted or porous, friable to unconsolidated. The litharenite is composed of quartz, various types of rock fragments, chert, and feldspars. Detrital carbonates can be abundant. The post-sedimentation history of the sandstone recorded cementation and dissolution events from near surface, through shallow burial and late tectonic exhumation. The events include early clay coatings on grains, dissolution of metastable minerals, cementation from calcite, kaolinite and minor chlorite and late near surface fault-controlled freshwater circulation and dissolution. The late event resulted in friable to unconsolidated sandstone intervals.
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Lewis, M. W., and T. L. Wilson. Response of a water-filled spherical vessel to an internal explosion. Office of Scientific and Technical Information (OSTI), June 1997. http://dx.doi.org/10.2172/515568.

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Wilson, T. L., and M. W. Lewis. Response of a water-filled spherical vessel to an internal explosion. Office of Scientific and Technical Information (OSTI), October 1997. http://dx.doi.org/10.2172/537336.

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Mertz, G. E. Structural response of the ITP failed filter transportation box to impact and internal pressure, Task 93-034-1. Office of Scientific and Technical Information (OSTI), July 1993. http://dx.doi.org/10.2172/10192083.

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Li, Chunyan. High-Resolution Air Pressure Measured from Ground StationsHigh-Resolution Air Pressure Measured from Ground Stations. LSU Digital Commons, February 2022. http://dx.doi.org/10.31390/oceanography_coastal_wavcis.02.

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Goldak, J. L51647 Welding on Fluid Filled and Pressurized Pipelines-Transient 3D Analysis. Chantilly, Virginia: Pipeline Research Council International, Inc. (PRCI), March 2000. http://dx.doi.org/10.55274/r0011356.

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The objective of this project was to determine if research in Computational Weld Mechanics had matured to the stage where it could simulate the process of welding on a pressurized pipeline and provide useful estimates of the risk of burn-through. To achieve that objective we have compared the results of our FEM analyzes of several welds with the experimental data reported in "http://www.prci.com/publications/L51763.htm" PR-185-9515, Repair of Pipelines by Direct Deposition of Weld Metal: Further Studies. The temperature and deformation predicted by our FEM analysis agrees quite well with the experimental data. The critical input data in addition to the internal pressure in the pipe, the geometry of the pipe, the size and shape of the weld pool including weld reinforcement, are the convection coefficient on the internal pipe surface and the temperature dependence of the viscosity of the pipe metal. Our FEM analysis shows that creep under the weld pool can thin the pipe wall and form a groove. In welds that show significant groove formation and thus high risk of burn through, this groove is significantly deeper than in welds that are at low risk of burn-through. When the pipe wall is thinned by the groove, the internal pipe wall temperature increases under the weld pool. Also the groove could reduce the convection on the internal pipe wall. This would further increase the temperature on the internal pipe wall under the weld pool and further accelerate actual burn-through. In our FEM analysis, we found no significant groove formation in those welds for which no significant groove formation was reported in the PR-185-9515 experiments. We found significant groove formation exactly in those welds that burned-through or were at high risk of burn-through. In those welds, the FEM analyses predicted a somewhat deeper groove than experiment. This suggests the FEM analyses erred on the safe side. In this sense, we conclude that we have succeeded in computing useful estimates of the risk of burn-through using Computational Weld Mechanics. It is notable that almost no use is made of adjustable or tuning parameters. To simulate the actual burn-through we conjecture that we would need to include inertial forces in the stress analysis.
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Lipman, Robert R. STEP File Analyzer User's Guide NIST Interagency or Internal Reports. Gaithersburg, MD: National Institute of Standards and Technology, December 2012. http://dx.doi.org/10.6028/nist.ir.7897.

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Malcolm, Gerard. Adjusting Tax Rates in the GTAP Data Base. GTAP Technical Paper, September 2000. http://dx.doi.org/10.21642/gtap.tp12.

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This paper describes a procedure designed for incorporating improved information on taxes into existing GTAP data aggregations. The aim of this procedure is to maintain the internal consistency of the data base while minimizing the impacts of the tax change on the value flows in the data base. It utilizes a variant of the GTAP model, for which the model structure and parameter settings have been designed to achieve this aim. The features include Cobb-Douglas production and consumption functions, inter-intermediate input substitution (also Cobb-Douglas), universal factor mobility and fixed trade balances. Instructions and computer files for implementation of the procedure are provided in the attached files.
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