Relevant bibliographies by topics / Information filters

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Information filters'

Author: Grafiati
Published: 4 June 2021
Last updated: 10 February 2022

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Journal articles on the topic "Information filters"

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Lu, Feng, Yihuan Huang, Jinquan Huang, and Xiaojie Qiu. "Gas turbine performance monitoring based on extended information fusion filter." Proceedings of the Institution of Mechanical Engineers, Part G: Journal of Aerospace Engineering 233, no. 2 (2018): 483–97. http://dx.doi.org/10.1177/0954410018776398.

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Performance monitoring is a critical issue for gas turbine engine for improving the operation safety and reducing the maintenance cost. With regard to this, variants of Kalman-filters-based state estimation have been employed to detect gas turbine performance, but the classical centralized Kalman filters are subject to heavy computational effort and poor fault tolerance. A novel nonlinear fusion filter algorithm using information description with distributed architecture is proposed and applied to gas turbine performance monitoring. This methodology is developed from federated Kalman filter, and a bank of local extended information filters and one information mixer are combined with extended information fusion filter. The local state estimates and covariance calculated in parallel by the local extended information filters are integrated in the information mixer to yield a global state estimate. The global state estimate of nonlinear system is fed back to the local filters with weighted factor for next iteration. The aim of the proposed methodology is to reduce the computational efforts of state estimation and improve robustness to sensor faults in cases of gas turbine performance monitoring. The simulation results on a turbofan engine confirm the extended information fusion filter's effective capabilities in comparison to the general central ones.
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Kumar, B. V. K. Vijaya. "Partial Information Filters." Digital Signal Processing 4, no. 3 (1994): 147–53. http://dx.doi.org/10.1006/dspr.1994.1014.

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Newton, Nigel J. "Information geometric nonlinear filtering." Infinite Dimensional Analysis, Quantum Probability and Related Topics 18, no. 02 (2015): 1550014. http://dx.doi.org/10.1142/s0219025715500149.

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This paper develops information geometric representations for nonlinear filters in continuous time. The posterior distribution associated with an abstract nonlinear filtering problem is shown to satisfy a stochastic differential equation on a Hilbert information manifold. This supports the Fisher metric as a pseudo-Riemannian metric. Flows of Shannon information are shown to be connected with the quadratic variation of the process of posterior distributions in this metric. Apart from providing a suitable setting in which to study such information-theoretic properties, the Hilbert manifold has an appropriate topology from the point of view of multi-objective filter approximations. A general class of finite-dimensional exponential filters is shown to fit within this framework, and an intrinsic evolution equation, involving Amari's -1-covariant derivative, is developed for such filters. Three example systems, one of infinite dimension, are developed in detail.
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Horvath, Alexander, Michael Murböck, Roland Pail, and Martin Horwath. "Decorrelation of GRACE Time Variable Gravity Field Solutions Using Full Covariance Information." Geosciences 8, no. 9 (2018): 323. http://dx.doi.org/10.3390/geosciences8090323.

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In this study the feasibility and performance of time variable decorrelation (VADER) filters derived from covariance information on decadal Gravity Recovery and Climate Experiment (GRACE) time series are investigated. The VADER filter is based on publicly available data that are provided by several GRACE processing centers, and does not need its own Level-2 processing chain. Numerical closed loop simulations, incorporating stochastic and deterministic error budgets, serve as basis for the design of the filter setup, and the resulting filters are subsequently applied for real data processing. The closed loop experiments demonstrate the impact of temporally varying error and signal covariance matrices that are used for the design of decorrelation filters. The results indicate an average reduction of cumulative geoid height errors of 15% using time-variable instead of static decorrelation. Based on the simulation experience, a real data filtering procedure is designed and set up. It is applied to the ITSG-Grace2014 time variable gravity field time series with its associated full monthly covariance matrices. To assess the validity of the approach, linear mass trend estimates for the Antarctic Peninsula are computed using VADER filters and compared to previous estimates from both, GRACE and other mass balance estimation techniques. The mass change results obtained show very good agreement with other estimates and are robust against variations of the filter strength. The DDK decorrelation filter serves as main benchmark for the assessment of the VADER filter. For comparable filter strengths the VADER filters achieve a better de-striping and deliver smaller formal errors than static filters like the DDK.
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Dávalos, Antonio, Meryem Jabloun, Philippe Ravier, and Olivier Buttelli. "The Impact of Linear Filter Preprocessing in the Interpretation of Permutation Entropy." Entropy 23, no. 7 (2021): 787. http://dx.doi.org/10.3390/e23070787.

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Permutation Entropy (PE) is a powerful tool for measuring the amount of information contained within a time series. However, this technique is rarely applied directly on raw signals. Instead, a preprocessing step, such as linear filtering, is applied in order to remove noise or to isolate specific frequency bands. In the current work, we aimed at outlining the effect of linear filter preprocessing in the final PE values. By means of the Wiener–Khinchin theorem, we theoretically characterize the linear filter’s intrinsic PE and separated its contribution from the signal’s ordinal information. We tested these results by means of simulated signals, subject to a variety of linear filters such as the moving average, Butterworth, and Chebyshev type I. The PE results from simulations closely resembled our predicted results for all tested filters, which validated our theoretical propositions. More importantly, when we applied linear filters to signals with inner correlations, we were able to theoretically decouple the signal-specific contribution from that induced by the linear filter. Therefore, by providing a proper framework of PE linear filter characterization, we improved the PE interpretation by identifying possible artifact information introduced by the preprocessing steps.
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Srinivasa, K. G., N. Pramod, K. R. Venugopal, and L. M. Patnaik. "Effects of Information Filters." International Journal of Information Retrieval Research 2, no. 2 (2012): 1–12. http://dx.doi.org/10.4018/ijirr.2012040101.

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In the Internet era, information processing for personalization and relevance has been one of the key topics of research and development. It ranges from design of applications like search engines, web crawlers, learning engines to reverse image searches, audio processed search, auto complete, etc. Information retrieval plays a vital role in most of the above mentioned applications. A part of information retrieval which deals with personalization and rendering is often referred to as Information Filtering. The emphasis of this paper is to empirically analyze the information filters commonly seen and to analyze their correctness and effects. The measure of correctness is not in terms of percentage of correct results but instead a rational approach of analysis using a non mathematical argument is presented. Filters employed by Google’s search engine are used to analyse the effects of filtering on the web. A plausible solution to the errors of filtering phenomenon is also discussed.
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Cherepanov, Igor Vladimirovich. "Information filters of consciousness." Interactive science, no. 3 (13) (March 22, 2017): 149–52. http://dx.doi.org/10.21661/r-118099.

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SHUI, PENG-LANG, and XIAO-LONG WANG. "2M-BAND INTERLEAVED DFT MODULATED FILTER BANKS WITH PERFECT RECONSTRUCTION." International Journal of Wavelets, Multiresolution and Information Processing 06, no. 04 (2008): 499–520. http://dx.doi.org/10.1142/s021969130800246x.

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In this paper, we propose a new family of perfect reconstruction (PR) complex filter banks, named interleaved discrete Fourier transform modulated filter banks (Interleaved DFT-FBs). In the filter banks, the analysis filters are generated by interlaced exponential modulating two different analysis prototype filters, and the synthesis filters are generated by two different synthesis prototype filters via the same manner. The filter banks have a simple polyphase structure similar to DFT modulated filter banks (DFT-FBs). More importantly, the proposed Interleaved DFT-FBs can achieve critically sampled PR complex filter bank with FIR analysis and synthesis filters, which is impossible for DFT-FBs. We give and prove the PR condition for 2M-band Interleaved DFT-FBs. Utilizing the result, the design procedure of the prototype filters is presented. In addition, by the theoretic analysis and numerical examples, it is shown that the analysis and synthesis filters cannot simultaneously provide good stopband attenuation for the critically sampled PR Interleaved DFT-FBs. Although the limitation always exits, the filter banks can find applications in some subband coding systems of high bit rate.
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Lefebvre, Carol, Julie Glanville, Sophie Beale, et al. "Assessing the performance of methodological search filters to improve the efficiency of evidence information retrieval: five literature reviews and a qualitative study." Health Technology Assessment 21, no. 69 (2017): 1–148. http://dx.doi.org/10.3310/hta21690.

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BackgroundEffective study identification is essential for conducting health research, developing clinical guidance and health policy and supporting health-care decision-making. Methodological search filters (combinations of search terms to capture a specific study design) can assist in searching to achieve this.ObjectivesThis project investigated the methods used to assess the performance of methodological search filters, the information that searchers require when choosing search filters and how that information could be better provided.MethodsFive literature reviews were undertaken in 2010/11: search filter development and testing; comparison of search filters; decision-making in choosing search filters; diagnostic test accuracy (DTA) study methods; and decision-making in choosing diagnostic tests. We conducted interviews and a questionnaire with experienced searchers to learn what information assists in the choice of search filters and how filters are used. These investigations informed the development of various approaches to gathering and reporting search filter performance data. We acknowledge that there has been a regrettable delay between carrying out the project, including the searches, and the publication of this report, because of serious illness of the principal investigator.ResultsThe development of filters most frequently involved using a reference standard derived from hand-searching journals. Most filters were validated internally only. Reporting of methods was generally poor. Sensitivity, precision and specificity were the most commonly reported performance measures and were presented in tables. Aspects of DTA study methods are applicable to search filters, particularly in the development of the reference standard. There is limited evidence on how clinicians choose between diagnostic tests. No published literature was found on how searchers select filters. Interviewing and questioning searchers via a questionnaire found that filters were not appropriate for all tasks but were predominantly used to reduce large numbers of retrieved records and to introduce focus. The Inter Technology Appraisal Support Collaboration (InterTASC) Information Specialists’ Sub-Group (ISSG) Search Filters Resource was most frequently mentioned by both groups as the resource consulted to select a filter. Randomised controlled trial (RCT) and systematic review filters, in particular the Cochrane RCT and the McMaster Hedges filters, were most frequently mentioned. The majority indicated that they used different filters depending on the requirement for sensitivity or precision. Over half of the respondents used the filters available in databases. Interviewees used various approaches when using and adapting search filters. Respondents suggested that the main factors that would make choosing a filter easier were the availability of critical appraisals and more detailed performance information. Provenance and having the filter available in a central storage location were also important.LimitationsThe questionnaire could have been shorter and could have included more multiple choice questions, and the reviews of filter performance focused on only four study designs.ConclusionsSearch filter studies should use a representative reference standard and explicitly report methods and results. Performance measures should be presented systematically and clearly. Searchers find filters useful in certain circumstances but expressed a need for more user-friendly performance information to aid filter choice. We suggest approaches to use, adapt and report search filter performance. Future work could include research around search filters and performance measures for study designs not addressed here, exploration of alternative methods of displaying performance results and numerical synthesis of performance comparison results.FundingThe National Institute for Health Research (NIHR) Health Technology Assessment programme and Medical Research Council–NIHR Methodology Research Programme (grant number G0901496).
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Rohini, R., N. V. Satya Narayana, and Durgesh Nandan. "A Crystal View on the Design of FIR Filter." Journal of Computational and Theoretical Nanoscience 17, no. 9 (2020): 4235–38. http://dx.doi.org/10.1166/jctn.2020.9052.

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In audio and video signal processing main element is the FIR filter. This paper presents complete information regarding the FIR filters. It also focuses on the design of FIR filters which provide low-area, energy-delay, low-power consumption, high-speed, low critical path, and low complexity. Implementation of FIR filters with different methods like memory-based VLSI architecture, filters for sampling rate conversion, linear phase FIR filters, optimal hybrid form FIR filters, Nyquist filters, hybrid multiplier less FIR filters, low complexity FIR filters, variable partition hybrid form FIR filters, area efficiency FIR filters are discussed in this paper. The objective of this paper to provide all related information regarding FIR filters at one platform.
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Dissertations / Theses on the topic "Information filters"

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Kondo, Daishi. "Preventing information leakage in NDN with name and flow filters." Thesis, Université de Lorraine, 2018. http://www.theses.fr/2018LORR0233/document.

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Au cours des dernières années, les réseaux de type (NDN) sont devenus une des architectures réseau les plus prometteuses. Pour être adopté à l'échelle d'Internet, NDN doit résoudre les problèmes inhérents à l'Internet actuel. La fuite d’informations fait partie de ces problèmes, et il est très important d’évaluer ce risque pour les réseaux de type NDN. La thèse se propose d'évaluer ce risque. En supposant (i) qu'un ordinateur appartient au réseau d'une entreprise basée sur une architecture NDN, (ii) que l'ordinateur a déjà été compromis par un support malveillant, et (iii) que la société installe un pare-feu, la thèse évalue la situation dans laquelle l’ordinateur infecté tente de divulguer des données à un attaquant externe à l'entreprise. Les contributions de cette thèse sont au nombre de cinq. Tout d'abord, cette thèse propose une attaque par fuite d'informations via un paquet donné et un paquet intérêt propres à NDN. Deuxièmement, afin de remédier à l'attaque fuite d'informations, cette thèse propose un pare-feu basé sur l'utilisation d'une liste blanche et d'une liste noire afin de surveiller et traiter le trafic NDN provenant des consommateurs. Troisièmement, cette thèse propose un filtre de noms NDN pour classifier un nom dans un paquet d'intérêt comme étant légitime ou non. Le filtre de noms peut ainsi réduire le débit par paquet d'intérêt. Cependant, pour adapter la vitesse de l'attaque, les logiciels malveillants peuvent envoyer de nombreux intérêts en très peu de temps. De même, le logiciel malveillant peut exploiter un intérêt avec une information explicite dans le nom (comme peut le faire un message véhiculé par un POST sur HTTP). Cela dépasse alors la portée du filtre de nom proposé et rend le filtre inefficace. Pour prendre en compte le flux de trafic analysé par le pare-feu NDN, cette thèse propose comme quatrième contribution la surveillance du flux NDN à travers le pare-feu. Enfin, afin de traiter les inconvénients du filtre de noms NDN, cette thèse propose un filtre de flux NDN permettant de classer un flux comme légitime ou non. L'évaluation des performances montre que le filtre de flux complète de manière tout à fait performante le filtre de nom et réduit considérablement le débit de fuite d'informations<br>In recent years, Named Data Networking (NDN) has emerged as one of the most promising future networking architectures. To be adopted at Internet scale, NDN needs to resolve the inherent issues of the current Internet. Since information leakage from an enterprise is one of the big issues even in the Internet and it is very crucial to assess the risk before replacing the Internet with NDN completely, this thesis investigates whether a new security threat causing the information leakage can happen in NDN. Assuming that (i) a computer is located in the enterprise network that is based on an NDN architecture, (ii) the computer has already been compromised by suspicious media such as a malicious email, and (iii) the company installs a firewall connected to the NDN-based future Internet, this thesis focuses on a situation that the compromised computer (i.e., malware) attempts to send leaked data to the outside attacker. The contributions of this thesis are fivefold. Firstly, this thesis proposes an information leakage attack through a Data and through an Interest in NDN. Secondly, in order to address the information leakage attack, this thesis proposes an NDN firewall which monitors and processes the NDN traffic coming from the consumers with the whitelist and blacklist. Thirdly, this thesis proposes an NDN name filter to classify a name in the Interest as legitimate or not. The name filter can, indeed, reduce the throughput per Interest, but to ameliorate the speed of this attack, malware can send numerous Interests within a short period of time. Moreover, the malware can even exploit an Interest with an explicit payload in the name (like an HTTP POST message in the Internet), which is out of scope in the proposed name filter and can increase the information leakage throughput by adopting a longer payload. To take traffic flow to the NDN firewall from the consumer into account, fourthly, this thesis proposes an NDN flow monitored at an NDN firewall. Fifthly, in order to deal with the drawbacks of the NDN name filter, this thesis proposes an NDN flow filter to classify a flow as legitimate or not. The performance evaluation shows that the flow filter complements the name filter and greatly chokes the information leakage throughput
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Eskiyerli, Mirat Hayri. "Square root domain filters." Thesis, Imperial College London, 1998. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.299973.

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Fischer, Peter Michael. "Adaptive optimization techniques for context-aware information filters." Zürich : ETH, 2006. http://e-collection.ethbib.ethz.ch/show?type=diss&nr=16671.

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Walter, Matthew R. "Sparse Bayesian information filters for localization and mapping." Thesis, Massachusetts Institute of Technology, 2008. http://hdl.handle.net/1721.1/46498.

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Thesis (S.M.)--Joint Program in Oceanography/Applied Ocean Science and Engineering (Massachusetts Institute of Technology, Dept. of Mechanical Engineering; and the Woods Hole Oceanographic Institution), 2008.<br>Includes bibliographical references (p. 159-170).<br>This thesis formulates an estimation framework for Simultaneous Localization and Mapping (SLAM) that addresses the problem of scalability in large environments. We describe an estimation-theoretic algorithm that achieves significant gains in computational efficiency while maintaining consistent estimates for the vehicle pose and the map of the environment.We specifically address the feature-based SLAM problem in which the robot represents the environment as a collection of landmarks. The thesis takes a Bayesian approach whereby we maintain a joint posterior over the vehicle pose and feature states, conditioned upon measurement data. We model the distribution as Gaussian and parametrize the posterior in the canonical form, in terms of the information (inverse covariance) matrix. When sparse, this representation is amenable to computationally efficient Bayesian SLAM filtering. However, while a large majority of the elements within the normalized information matrix are very small in magnitude, it is fully populated nonetheless. Recent feature-based SLAM filters achieve the scalability benefits of a sparse parametrization by explicitly pruning these weak links in an effort to enforce sparsity. We analyze one such algorithm, the Sparse Extended Information Filter (SEIF), which has laid much of the groundwork concerning the computational benefits of the sparse canonical form. The thesis performs a detailed analysis of the process by which the SEIF approximates the sparsity of the information matrix and reveals key insights into the consequences of different sparsification strategies. We demonstrate that the SEIF yields a sparse approximation to the posterior that is inconsistent, suffering from exaggerated confidence estimates.<br>(cont) This overconfidence has detrimental effects on important aspects of the SLAM process and affects the higher level goal of producing accurate maps for subsequent localization and path planning. This thesis proposes an alternative scalable filter that maintains sparsity while preserving the consistency of the distribution. We leverage insights into the natural structure of the feature-based canonical parametrization and derive a method that actively maintains an exactly sparse posterior. Our algorithm exploits the structure of the parametrization to achieve gains in efficiency, with a computational cost that scales linearly with the size of the map. Unlike similar techniques that sacrifice consistency for improved scalability, our algorithm performs inference over a posterior that is conservative relative to the nominal Gaussian distribution. Consequently, we preserve the consistency of the pose and map estimates and avoid the effects of an overconfident posterior. We demonstrate our filter alongside the SEIF and the standard EKEF both in simulation as well as on two real-world datasets. While we maintain the computational advantages of an exactly sparse representation, the results show convincingly that our method yields conservative estimates for the robot pose and map that are nearly identical to those of the original Gaussian distribution as produced by the EKF, but at much less computational expense. The thesis concludes with an extension of our SLAM filter to a complex underwater environment. We describe a systems-level framework for localization and mapping relative to a ship hull with an Autonomous Underwater Vehicle (AUV) equipped with a forward-looking sonar. The approach utilizes our filter to fuse measurements of vehicle attitude and motion from onboard sensors with data from sonar images of the hull. We employ the system to perform three-dimensional, 6-DOF SLAM on a ship hull.<br>by Matthew R. Walter.<br>S.M.
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Mohieldin, Ahmed Nader. "High performance continuous-time filters for information transfer systems." Texas A&M University, 2003. http://hdl.handle.net/1969/233.

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Wicks, Tony. "Design and implementation of PCAS filters." Thesis, University of Warwick, 1995. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.308510.

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Alexiou, Ioannis. "Complex filters and higher-order spatial information for image categorization." Thesis, Imperial College London, 2013. http://hdl.handle.net/10044/1/14488.

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This Thesis applies complex spatial filters to the front end filtering to a computer vision framework for object recognition and scene categorization. This involves careful filter design in the Fourier domain based on discrete frame properties. Biological plausibility of the suggested filtering is compared against a common model found in the computer vision literature. The designed complex filter bank is equipped with focus-of-attention operators. Specifically, two possible keypoint detection methodologies are examined and compared with state of the art keypoint detection methods. This includes an investigation of scale-estimation methods. In addition, three image patch descriptor arrangements are proposed to sample the complex filter responses, and an initial evaluation of categorization performance is undertaken. Next, the spatial pooling arrangement of the best performing descriptor is further optimised and the performance of different complex filter bandwidths is examined in class separation tasks. A further study is conducted on the effects of a Winner-Take-All (WTA) approach to modifying filter responses before pooling. A thorough evaluation of descriptor performance is undertaken to reveal any advantages or disadvantages from a variety of perspectives. Next, the clustering behaviour of descriptors of various types is inspected in the descriptor feature space. A reverse look-up of visual words attempts to relate clustering behaviour to descriptor performance. Typical grouping approaches, such as spatial pyramids, are then compared with a novel method for coupling visual words in which a linear kernel SVM learns class separability. A final evaluation on this stage is presented and discussed, leading to conclusive arguments about the importance of careful approaches to word-pairing for good-quality categorization.
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Beam, Michael A. "Personalized News: How Filters Shape Online News Reading Behavior." The Ohio State University, 2011. http://rave.ohiolink.edu/etdc/view?acc_num=osu1315716858.

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Alam, Dawood. "Design and VLSI implementation of two-dimensional allpass digital filters." Thesis, University of Warwick, 1996. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.319797.

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Pfann, Eugen. "Design and analysis of oversampled #sigma# #delta# adaptive LMS filters." Thesis, University of Strathclyde, 2003. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.273397.

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Books on the topic "Information filters"

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Schneider, Karen G. A practical guide to Internet filters. Neal-Schuman Publishers, 1997.

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Ristic, Branko. Particle Filters for Random Set Models. Springer New York, 2013.

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Certain paint filters and strainers from Brazil: Determination of the Commission in investigation no. 701-TA-280 (preliminary) under the Tariff Act of 1930, together with the information obtained in the investigation : determination of the Commission in investigation no. 731-TA-337 (preliminary) under the Tariff Act of 1930, together with the information obtained in the investigation. U.S. International Trade Commission, 1986.

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Dong, Hongli. Filtering, control and fault detection with randomly occurring incomplete information. Wiley, 2013.

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Paarmann, Larry D. Design and Analysis of Analog Filters: A Signal Processing Perspective. Springer US, 2003.

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K, Wang R., ed. Frequency domain filtering strategies for hybrid optical information processing. Research Studies Press, 1996.

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David, Banks. The design, implementation, and testing of an imaging system to provide quantitative ion position information at the exit of a quadrupole mass filter. Graduate Dept. of Aerospace Science and Engineering, University of Toronto, 1992.

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service), SpringerLink (Online, ed. VLSI Analog Filters: Active RC, OTA-C, and SC. Birkhäuser Boston, 2013.

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Weber, Axel A. Neue klassische Makroökonomie, rationale Erwartungen und kontemporäre Information: Theoretische Analyse, ökonometrische Testprobleme und empirische Evidenz für die Bundesrepublik Deutschland unter Verwendung des Kalman-Filters. Haag + Herchen, 1988.

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Príncipe, J. C. Kernel adaptive filtering: A comprehensive introduction. Wiley, 2010.

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Book chapters on the topic "Information filters"

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Tirdad, Kamran, Pedram Ghodsnia, J. Ian Munro, and Alejandro López-Ortiz. "COCA Filters: Co-occurrence Aware Bloom Filters." In String Processing and Information Retrieval. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-24583-1_31.

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Su, Kendall L. "General Information." In Handbook of Tables for Elliptic-Function Filters. Springer US, 1990. http://dx.doi.org/10.1007/978-1-4613-1547-6_1.

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Johansen, Dag, Robbert van Renesse, and Fred B. Schneider. "WAIF:Web of Asynchronous Information Filters." In Future Directions in Distributed Computing. Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/3-540-37795-6_15.

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Martínez-Díaz, Saúl, and Saúl Martínez-Chavelas. "Rotation-Invariant Nonlinear Filters Design." In Advanced Information Systems Engineering. Springer Berlin Heidelberg, 2014. http://dx.doi.org/10.1007/978-3-319-12568-8_2.

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Evans, David A., Gregory Grefenstette, Yan Qu, James G. Shanahan, and Victor M. Sheftel. "Agentized, Contextualized Filters for Information Management." In Agent-Mediated Knowledge Management. Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-540-24612-1_16.

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Di, Mingxuan, Guang Yang, Qinchuan Zhang, Kang Fu, and Hongtao Lu. "Fast Visual Object Tracking Using Convolutional Filters." In Neural Information Processing. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-46672-9_73.

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Bonnabel, Silvère, and Rodolphe Sepulchre. "The Geometry of Low-Rank Kalman Filters." In Matrix Information Geometry. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-30232-9_3.

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Tian, Qinyi. "Object Tracking with Multi-sample Correlation Filters." In Neural Information Processing. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-63830-6_40.

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Zhang, Yang, Gang Zhang, Guo-sheng Rui, and Hai-bo Zhang. "Improved Direct Chaotic Nonlinear Filters." In Communications in Computer and Information Science. Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-13-7983-3_28.

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Wang, Fasheng. "Particle Filters for Visual Tracking." In Communications in Computer and Information Science. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-21402-8_17.

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Conference papers on the topic "Information filters"

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Greenlee, Alison, Timothy Murray, Victor Lesniewski, Mark Jeunnette, and Amos G. Winter. "Design and Testing of a Low-Cost and Low-Maintenance Drip Irrigation Filtration System for Micro-Irrigation in Developing Countries." 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/detc2014-35351.

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The cylindrical filters presently used in &lt;1000 m2 drip irrigation systems are frequently clogged, increasing pressure loss and lowering the flow rate through the filters. This work investigates the mechanisms for this clogging and proposes an alternative filtration design that would enable both more reliable and lower maintenance filtering. This proposed system is compatible with existing drip irrigation systems and could be made inexpensively with plastic bottle manufacturing equipment. To compare the proposed design to off-the-shelf options, a drip irrigation test setup was built to measure the pressure loss across different filters as particles accumulated. These experiments confirmed that pleated cartridge filters, with high effective surface area, incurred lower pressure losses than cylindrical filters. These tests revealed that the greatest reason for clogged performance was that filtered particles (not the cartridge filter itself) eventually restricted the flow of water through the system. This inspired the redesign of the filter housing such that the housing extended far below the filter, providing a catch basin away from the filter for the particles to settle. Fixing the filter independently of the bottom casing significantly improved the overall performance of the filtration system, reduced the maintenance requirement necessary from the user, and would enable inexpensive manufacturing via blow molding. This paper experimentally demonstrates that the cartridge filter inside the redesigned housing can filter out over 2 kg of sand while maintaining less than a .03 bar pressure drop across the filter at a flow rate of 25 l/s.
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Economou, D., C. Mavroidis, and I. Antoniadis. "Comparison of Robust Residual Vibration Suppression Capabilities of Conventional Digital Filters." In ASME 2001 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2001. http://dx.doi.org/10.1115/detc2001/vib-21472.

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Abstract Digital filters consist a quite effective robust residual vibration tool, when they are used for preconditioning any excitation function, prior to its application in a flexible system. Since a quite large number of conventional digital filters already exist, each one obtained by a different design procedure and resulting to different characteristics, a systematic comparison of their capabilities is performed. Critical design parameters are addressed, influencing the filter behavior in vibration suppression, such as the total delay introduced by the filter, the permitted residual vibration error, the robustness degree achieved and the necessary computational requirements in their implementation. It is shown, that although mere does not exist a single type of filter, simultaneously conforming to an optimal degree to all the design requirements, a large variety of conventional filters can be effectively used for the several individual residual vibration suppression requirements.
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Garcia-Alvarez, Julio-Cesar, German Castellanos-Dominguez, and Ben-Hur Ortiz. "Image information access using wedgelet filters." In 2008 First International Symposium on Applied Sciences on Biomedical and Communication Technologies (ISABEL). IEEE, 2008. http://dx.doi.org/10.1109/isabel.2008.4712614.

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Casbeer, David W., and Randy Beard. "Distributed information filtering using consensus filters." In 2009 American Control Conference. IEEE, 2009. http://dx.doi.org/10.1109/acc.2009.5160531.

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Cramer, Henriette S. M. "Interaction with user-adaptive information filters." In CHI '07 extended abstracts. ACM Press, 2007. http://dx.doi.org/10.1145/1240866.1240870.

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Mountain, David M. "Spatial filters for mobile information retrieval." In the 4th ACM workshop. ACM Press, 2007. http://dx.doi.org/10.1145/1316948.1316964.

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Ilyas, Saad, and Mohammad I. Younis. "Exploiting Nonlinear Behavior of MEMS Resonators for Filter Applications." In ASME 2017 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2017. http://dx.doi.org/10.1115/detc2017-67863.

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We propose combining the hardening and softening nonlinearities of two resonators to realize a near flat pass band filter of almost zero roll-off. The device is composed of two near identical doubly clamped and laterally actuated microbeams made of Silicon. One of the resonators is buckled via thermal loading to produce softening resonance peak. It is then further tuned to create the desired overlap with the hardening resonance peak of the other resonator. This overlapping improves the filter’s pass band flatness and roll-off characteristics, which are highly desirable. This technique can be promising for future generation of filters with superior characteristics.
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"Session: digital filters." In 1988 IEEE International Symposium on Information Theory. IEEE, 1988. http://dx.doi.org/10.1109/isit.1988.22294.

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Dewallef, P., C. Romessis, O. Le´onard, and K. Mathioudakis. "Combining Classification Techniques With Kalman Filters for Aircraft Engine Diagnostics." In ASME Turbo Expo 2004: Power for Land, Sea, and Air. ASMEDC, 2004. http://dx.doi.org/10.1115/gt2004-53541.

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A diagnostic method consisting of a combination of Kalman filters and Bayesian Belief Networks (BBN) is presented. A soft-constrained Kalman filter uses a priori information derived by a BBN at each time step, to derive estimations of the unknown health parameters. The resulting algorithm has improved identification capability in comparison to the stand alone Kalman filter. The paper focuses on the way of combining the information produced by the BBN with the Kalman filter. An extensive set of fault cases is used to test the method on a typical civil turbofan layout. The effectiveness of the method is thus demonstrated and its advantages over individual constituent methods are shown.
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Eustice, R., M. Walter, and J. Leonard. "Sparse extended information filters: insights into sparsification." In 2005 IEEE/RSJ International Conference on Intelligent Robots and Systems. IEEE, 2005. http://dx.doi.org/10.1109/iros.2005.1545053.

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Reports on the topic "Information filters"

1

Bachner K., Verdugo D., and D. Verdugo. Information Filters for Safeguards Applications: A Scoping Study. Office of Scientific and Technical Information (OSTI), 2013. http://dx.doi.org/10.2172/1089830.

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Hanna, Rema, Bridget Hoffmann, Paulina Oliva, and Jake Schneider. The Power of Perception: Limitations of Information in Reducing Air Pollution Exposure. Inter-American Development Bank, 2021. http://dx.doi.org/10.18235/0003392.

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We conduct a randomized controlled trial in Mexico City to determine willingness to pay (WTP) for SMS air quality alerts and to study the effects of air quality alerts, reminders, and a reusable N95 mask on air pollution information and avoidance behavior. At baseline, we elicit WTP for the alerts service after revealing whether the household will receive an N95 mask and participant compensation, but before revealing whether they will receive alert or reminder services. While we observe no significant impact of mask provision on WTP, higher compensation increases WTP, suggesting a possible cash-on-hand constraint. The perception of high pollution days prior to the survey is positively correlated with WTP, but the presence of actual high pollution days is not correlated with WTP. Follow-up survey data demonstrate that the alerts treatment increases reporting of receiving air pollution information via SMS, a high pollution day in the past week, and staying indoors on the most recent perceived high pollution day. However, we observe no significant effect on the ability to correctly identify which specific days had high pollution. Similarly, households that received an N95 mask are more likely to report utilizing a mask with filter in the past two weeks, but we observe no effect on using a filter mask on the specific days with high particulate matter. Although we nd that air quality alerts increased the salience of air quality and avoidance behavior, these results illustrate the difficulty that information treatments face in overcoming perceptions to effectively reduce exposure to air pollution.
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