Relevant bibliographies by topics / Moving average filter

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  2. Dissertations / Theses
  3. Book chapters
  4. Conference papers

Academic literature on the topic 'Moving average filter'

Author: Grafiati
Published: 4 June 2021
Last updated: 25 July 2025

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Journal articles on the topic "Moving average filter"

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Valachovic, Edward L. "An extension of the iterated moving average." PLOS One 20, no. 7 (2025): e0328080. https://doi.org/10.1371/journal.pone.0328080.

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This work introduces an extension of the iterated moving average filter, called the Extended Kolmogorov-Zurbenko (EKZ) filter for time series and spatio-temporal analysis. The iterated application of a central simple moving average (SMA) filter, also known as a Kolmogorov-Zurbenko (KZ) filter, is a low-pass filter defined by the length of the moving average window and the number of iterations. These two arguments determine the filter properties such as the energy transfer function and cut-off frequency. However, the existing KZ filter is only defined for positive odd integer window lengths. Th
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Safir, P. "REAL TIME NOISE FILTERING WITH SOFTWARE FILTERS." POLISH JOURNAL OF SCIENCE, no. 56 (November 14, 2022): 70–74. https://doi.org/10.5281/zenodo.7415470.

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In this article, I would like to discuss noise filtering from sensors. How does noise appear? What is the difference between external and internal noise? The sources and causes of noise and to discuss software filtering algorithms. Moving average filter, Adaptive moving averages filter, median filter, Kalman filter. How and when to use software filters.
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Liu, Jiani, Elvin Isufi, and Geert Leus. "Filter Design for Autoregressive Moving Average Graph Filters." IEEE Transactions on Signal and Information Processing over Networks 5, no. 1 (2019): 47–60. http://dx.doi.org/10.1109/tsipn.2018.2854627.

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Setiahadiwibowo, Ajimas Pascaning, Sismanto, Anik Hilyah, Lia Andri Anggraeni, Moh Singgih Purwanto, and Ceni Febi Kurnia Sari. "Comparison of Upward Continuation and Moving Average Filters for Satellite Gravity Data in Probolinggo Fault Case Study." IOP Conference Series: Earth and Environmental Science 1486, no. 1 (2025): 012021. https://doi.org/10.1088/1755-1315/1486/1/012021.

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Abstract In gravity data processing, selecting the correct filter results in accurate interpretation. In this study, upward continuation and moving average filters were applied to delineate the existence of the Probolinggo Fault. The data used is satellite gravity data from the Global Gravity Model Plus (GGMplus) 2013, after which corrections were made to the data to obtain a complete Bouguer anomaly map. The next step is filtering to obtain residual anomalies. In the moving average filter, a window width of 47 was used, and in the upward continuation filter, the best anomaly was obtained at a
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Pereira, Tiago, Victor Santos, Tiago Gameiro, Carlos Viegas, and Nuno Ferreira. "Evaluation of Different Filtering Methods Devoted to Magnetometer Data Denoising." Electronics 13, no. 11 (2024): 2006. http://dx.doi.org/10.3390/electronics13112006.

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In this article, we describe a performance comparison conducted between several digital filters intended to mitigate the intrinsic noise observed in magnetometers. The considered filters were used to smooth the control signals derived from the magnetometers, which were present in an autonomous forestry machine. Three moving average FIR filters, based on rectangular Bartlett and Hanning windows, and an exponential moving average IIR filter were selected and analyzed. The trade-off between the noise reduction factor and the latency of the proposed filters was also investigated, taking into accou
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Zuhdi, Muhammad, Syahrial Ayub, Muhammad Taufik, Syamsuddin Syamsuddin, and Bakti Sukrisna. "Moving Average Filter untuk Memisahkan Efek Dangkal Anomali Gravitasi Time Lapse." Prisma Sains : Jurnal Pengkajian Ilmu dan Pembelajaran Matematika dan IPA IKIP Mataram 7, no. 2 (2019): 121. http://dx.doi.org/10.33394/j-ps.v7i2.1766.

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[Title: Moving Average Filter for Time Lapse Gravity Anomaly Separation]. Interpretation of time-lapse gravity anomaly due to fluid injection in the reservoir is difficult when it mixed with shallow source anomalies. To solve the kind of problem, anomaly separation is performed with the method of Moving Average Filter. This study was conducted to obtain an effective method to separate the gravity anomaly of shallow sources on time-lapse gravity anomaly. Trials are conducted on anomaly models derived from reservoirs with three distinct depths that are 300, 600 and 900 meters. This forward model
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Fawaz, Samer, Daniel Munhoz, Thabo Mahendiran, et al. "Assessing the Impact of Prolonged Averaging of Coronary Continuous Thermodilution Traces." Diagnostics 14, no. 3 (2024): 285. http://dx.doi.org/10.3390/diagnostics14030285.

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Continuous Thermodilution is a novel method of quantifying coronary flow (Q) in mL/min. To account for variability of Q within the cardiac cycle, the trace is smoothened with a 2 s moving average filter. This can sometimes be ineffective due to significant heart rate variability, ventricular extrasystoles, and deep inspiration, resulting in a fluctuating temperature trace and ambiguity in the location of the “steady state”. This study aims to assess whether a longer moving average filter would smoothen any fluctuations within the continuous thermodilution traces resulting in improved interpret
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HUANG, CHAO, LIHUA YANG, and YANG WANG. "CONVERGENCE OF A CONVOLUTION-FILTERING-BASED ALGORITHM FOR EMPIRICAL MODE DECOMPOSITION." Advances in Adaptive Data Analysis 01, no. 04 (2009): 561–71. http://dx.doi.org/10.1142/s1793536909000205.

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Lin et al. propose the iterative Toeplitz filters algorithm as an alternative iterative algorithm for Empirical Mode Decomposition (EMD). In this alternative algorithm, the average of the upper and lower envelopes is replaced by certain "moving average" obtained through a low-pass filter. Performing the traditional sifting algorithm with such moving averages is equivalent to iterating certain convolution filters (finite length Toeplitz filters). This paper studies the convergence of this algorithm for signals of continuous variables, and proves that the limit function of this iterative algorit
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Fiddariani, Agritian Sevty, and Budi Sumanto. "Studi Penerapan Filter Digital pada Sistem Pemantau Parameter di Kolam Ikan." Jurnal Listrik, Instrumentasi, dan Elektronika Terapan 5, no. 1 (2024): 30. http://dx.doi.org/10.22146/juliet.v5i1.87377.

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Indonesia memiliki potensi yang besar pada sektor perikanan terutama pada sektor perikanan budidaya. Seiring dengan tingginya potensi perikanan budidaya maka diperlukan pula perhatian yang lebih baik pada aspek-aspek yang mendukung budidaya perikanan, seperti suhu, pH, dan kedalaman air. Pada penelitian sebelumnya, hasil pengukuran parameter tersebut belum tervalidasi dan terpengaruh oleh gangguan. Oleh karena itu, dilakukan studi mengenai penerapan metode filter digital yang meliputi filter Kalman, moving average filter, dan filter Hanning untuk menentukan dari ketiga metode filter tersebut m
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Purnamasari, Dian Neipa, Kunto Aji Wibisono, and Hanifudin Sukri. "Digital Moving Average Filter Application for Echo Signals and Temperature." E3S Web of Conferences 328 (2021): 02007. http://dx.doi.org/10.1051/e3sconf/202132802007.

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In this work, we propose a digital filter design, namely moving average filter (MAF) to be implemented on echo signal and temperature data. The echo signal data is obtained from the ultrasonic transducer, while the temperature data is obtained from the PI controller. The implementation of the moving average filter on the echo signal data will compare the second-order MAF and the fourth-order MAF. The results of the test show that the use of a digital filter makes the data smoother when compared to unfiltered data. Furthermore, the comparison of orders on the MAF filter has an impact on the fil
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Dissertations / Theses on the topic "Moving average filter"

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Zamora, Alvarez Eric Jose. "A Discrete Roughness Index for Longitudinal Road Profiles." Thesis, Virginia Tech, 2016. http://hdl.handle.net/10919/64452.

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Engineers of off-road equipment, on-road vehicles, pavement, and tires must assess the roughness of a terrain surface for the design of their products. The International Roughness Index (IRI), a standardized means of assessing longitudinal road roughness, quantifies roughness based on the average suspension travel for a particular vehicle at a prescribed speed. The Discrete Roughness Index (DRI) developed in this work address fundamental limitations of the IRI. Specifically, the DRI is calculated for each discretely measured location along a terrain surface and is applicable to vehicles tra
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Kubík, Pavel. "Měření intenzity provozu během pevně daných intervalů v AP." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2011. http://www.nusl.cz/ntk/nusl-218833.

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The thesis analyzes the network traffic on a router with open source firmware. First is chosen a software platform, based on compatibility with available equipment. Then are assessed properties necessary for the development of custom applications. Support for various programming languages provided by the SDK, development environment and the available modules and libraries, for working with network interface. Based on these factors is then chose method to realize the program. He is implemented on the OpenWRT firmware in C / C + + using network library pcap. These funds are used to capture and a
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Sagha, Hossein. "Development of innovative robust stability enhancement algorithms for distribution systems containing distributed generators." Thesis, Queensland University of Technology, 2015. https://eprints.qut.edu.au/91052/1/Hossein_Sagha_Thesis.pdf.

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This project was a step forward in improving the voltage profile of traditional low voltage distribution networks with high photovoltaic generation or high peak demand. As a practical and economical solution, the developed methods use a Dynamic Voltage Restorer or DVR, which is a series voltage compensator, for continuous and communication-less power quality enhancement. The placement of DVR in the network is optimised in order to minimise its power rating and cost. In addition, new approaches were developed for grid synchronisation and control of DVR which are integrated with the voltage qual
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Hráček, Roman. "Softwarový balík pro frekvenční metody detekce QRS komplexu." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2015. http://www.nusl.cz/ntk/nusl-221390.

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Zadeh, Ramin Agha. "Performance control of distributed generation using digital estimation of signal parameters." Thesis, Queensland University of Technology, 2010. https://eprints.qut.edu.au/47011/1/Ramin_Agha_Zadeh_Thesis.pdf.

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The Queensland University of Technology (QUT) allows the presentation of a thesis for the Degree of Doctor of Philosophy in the format of published or submitted papers, where such papers have been published, accepted or submitted during the period of candidature. This thesis is composed of seven published/submitted papers, of which one has been published, three accepted for publication and the other three are under review. This project is financially supported by an Australian Research Council (ARC) Discovery Grant with the aim of proposing strategies for the performance control of Distributed
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WANG, HONG-ZHOU, and 汪弘洲. "Strategies Development of Moving Average Line Index with KD Indicator Filter." Thesis, 2017. http://ndltd.ncl.edu.tw/handle/9hb49z.

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碩士<br>國立高雄應用科技大學<br>金融系金融資訊碩士在職專班<br>105<br>The paper applied two moving average indexes as the main stream of the basic strategies. The basic strategies were then improved by adding KD indicator as filter and changing the calculation method of the average price. Finally, 6 strategied were proposed. To verified the profitabilities of the designed strategies, empirical studies of Taiwan Stock Index Futures from 2011 to 2016 were made to prove that KD filter and new price calculation method could improve the performance of original strategies.
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Hong, Yi, and 洪毅. "A MOMENTUM TRADING STRATEGY OF APPLYING HODRICK-PRESCOTT FILTER TO MODIFY THE MOVING AVERAGE RULE." Thesis, 2013. http://ndltd.ncl.edu.tw/handle/27670141714171899029.

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碩士<br>南華大學<br>企業管理系管理科學碩博士班<br>101<br>Moving average rule is commonly served as the technical index for making the timing signal according to the price momentum. However, the chief defect associated with the traditional moving average rule is its excessive sensitivness to temporary price change. This study suggest using the Hodrick-Prescott filter(HPF) to extract the price trend from an observed price series for modifying the traditional moving average rule on the purpose of improving its timing ability. HPF have been widely-used to generate the business cycle using low-frequency economic data
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Book chapters on the topic "Moving average filter"

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Chowdary, M. Thomas Chinmai, Ch Lekhaz Kumar, N. R. Kavitha, and Dharmavaram Asha Devi. "Noise Cancellation of Electrocardiogram Signal Using Moving Average Filter." In Disruptive technologies in Computing and Communication Systems. CRC Press, 2024. http://dx.doi.org/10.1201/9781032665535-58.

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Wang, Xu, Jiaxin Ji, and Peida Hu. "Application of Moving Average Filter to Train’s Active Control System." In Lecture Notes in Electrical Engineering. Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-10-7986-3_75.

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Chen, Yan, Dan Li, Yanhai Li, Xiaoyuan Ma, and Jianming Wei. "Use Moving Average Filter to Reduce Noises in Wearable PPG During Continuous Monitoring." In Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-49655-9_26.

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Liu, Feng, Yihui Xia, Bin Zhang, and Lv Yang. "Research on DDSRF-PLL Based on Moving Average Filter Under Complex Operating Conditions." In Lecture Notes in Electrical Engineering. Springer Nature Singapore, 2025. https://doi.org/10.1007/978-981-96-2050-0_28.

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Cha, Jaesang, and Seokkee Hong. "Efficient Emotional Factor Extraction Using Moving Average Filter in Digital Sound and LED Color." In Communications in Computer and Information Science. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-35521-9_19.

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Purnama, Sevia Indah, Mas Aly Afandi, and Egya Vernando Purba. "Global Positioning System Data Processing Improvement for Blind Tracker Device Based Using Moving Average Filter." In Proceedings of the 2nd International Conference on Electronics, Biomedical Engineering, and Health Informatics. Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-1804-9_14.

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Aradhye, Gurudev, A. C. S. Rao, and M. D. Mastan Mohammed. "A Novel Hybrid Approach for Time Series Data Forecasting Using Moving Average Filter and ARIMA-SVM." In Advances in Intelligent Systems and Computing. Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-13-1498-8_33.

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Kaharuddin, S., M. F. Ain, M. N. Mamat, and M. N. Abdullah. "Evaluating the Effectiveness of Exponentially Weighted Moving Average Filter in Enhancing Landslide Detection from Accelerometer Data." In Lecture Notes in Mechanical Engineering. Springer Nature Singapore, 2024. http://dx.doi.org/10.1007/978-981-97-0169-8_59.

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Ordóñez-Camacho, Diego, and Edwin Cabrera-Goyes. "An Adaptive-Bounds Band-Pass Moving-Average Filter to Increase Precision on Distance Estimation from Bluetooth RSSI." In Proceedings of the International Conference on Information Technology & Systems (ICITS 2018). Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-73450-7_78.

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Wang, Simon, and Nina Ni. "A Recursive Method on Estimating ARFIMA in Agricultural Time Series." In Springer Actuarial. Springer Nature Switzerland, 2025. https://doi.org/10.1007/978-3-031-80574-5_9.

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Abstract In this paper, we apply a recursive method to financial data to determine their corresponding Hurst exponent and the optimal Autoregressive Fractionally Integrated Moving Average (ARFIMA) models. We begin by introducing the long-range dependence phenomenon and methods to address it in time series modeling. Then, a recursive algorithm, where the Hurst exponent is estimated by applying an autoregressive filter to the data repeatedly until it converges, is empirically tested with simulated data for stability and convergence. Finally, we apply this convergence approach to real commodity d
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Conference papers on the topic "Moving average filter"

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Patankar, Udayan S., Miguel E. Flores, Ants Koel, and Sunil Patankar. "Moving Average Filter Block Implementation Using USP-Awadhoot Divider." In 2024 19th Biennial Baltic Electronics Conference (BEC). IEEE, 2024. http://dx.doi.org/10.1109/bec61458.2024.10737938.

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Maddipatla, Satya Prasad, and Sean Brennan. "Performance Analysis of Moving Average Filter Using Allan Variance." In 2024 American Control Conference (ACC). IEEE, 2024. http://dx.doi.org/10.23919/acc60939.2024.10644319.

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Tacken, Daniel A., Mark A. H. Broadmeadow, and Geoffrey R. Walker. "VSI LCL Filter State Measurement Using High-Rate Moving Average and Kalman Filters." In 2024 IEEE 9th Southern Power Electronics Conference (SPEC). IEEE, 2024. https://doi.org/10.1109/spec62217.2024.10893220.

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Podobuev, Sergey A., Viktor D. Kacharsky, Alsu I. Nurtdinova, and Andrey N. Serov. "Modification of the Adaptive Moving Average Filter for the Signal Parameters Measurement." In 2024 International Conference on Electrical Engineering and Photonics (EExPolytech). IEEE, 2024. http://dx.doi.org/10.1109/eexpolytech62224.2024.10755651.

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Guan, Xin, Wenkui Liu, Xing Zhang, Peng Ruan, Ruitao Zhang, and Hao Yi. "Asymmetric Voltage Sag Detection Method Based on Delay Small Angle Method and Moving Average Filter." In 2024 IEEE 4th New Energy and Energy Storage System Control Summit Forum (NEESSC). IEEE, 2024. http://dx.doi.org/10.1109/neessc62857.2024.10733428.

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Singh, Amit kumar, and Vinay Kumar Srivastava. "Digital Filter-Based Exon Prediction: Exploring the Reason why Cascading 2nd Order Moving Average Filter Directly with Anti-Notch Filter should be Avoided." In 2024 4th International Conference on Artificial Intelligence and Signal Processing (AISP). IEEE, 2024. https://doi.org/10.1109/aisp61711.2024.10870655.

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Chaudhury, Moitreya, Binit Kumar Pandit, and Ayan Banerjee. "A Dynamic Window Size-Based VLSI Architecture Design of Moving Average Filter and Its Vulnerability to Hardware Trojans." In 2024 28th International Symposium on VLSI Design and Test (VDAT). IEEE, 2024. http://dx.doi.org/10.1109/vdat63601.2024.10705727.

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Liu, Jiani, Elvin Isufi, and Geert Leus. "Autoregressive moving average graph filter design." In 2017 IEEE Global Conference on Signal and Information Processing (GlobalSIP). IEEE, 2017. http://dx.doi.org/10.1109/globalsip.2017.8309028.

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Gu, Yalan, Shengchao Liu, Dong Wang, and Li Zhang. "A Generalized Moving Average Filter for Active Power Filter Applications." In 2019 IEEE 28th International Symposium on Industrial Electronics (ISIE). IEEE, 2019. http://dx.doi.org/10.1109/isie.2019.8781279.

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Panetas-Felouris, Orfeas, Konstantinos P. Pagkalos, and Spyridon Vlassis. "Moving Average Filter in Time-Mode Signal Processing." In 2024 Panhellenic Conference on Electronics & Telecommunications (PACET). IEEE, 2024. http://dx.doi.org/10.1109/pacet60398.2024.10497041.

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