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Journal articles on the topic 'PHD filtering'

Author: Grafiati

Published: 4 June 2021

Last updated: 1 February 2022

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1

Yin, Jian Jun, and Jian Qiu Zhang. "Convolution PHD Filtering for Nonlinear Non-Gaussian Models." Advanced Materials Research 213 (February 2011): 344–48. http://dx.doi.org/10.4028/www.scientific.net/amr.213.344.

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A novel probability hypothesis density (PHD) filter, called the Gaussian mixture convolution PHD (GMCPHD) filter was proposed. The PHD within the filter is approximated by a Gaussian sum, as in the Gaussian mixture PHD (GMPHD) filter, but the model may be non-Gaussian and nonlinear. This is implemented by a bank of convolution filters with Gaussian approximations to the predicted and posterior densities. The analysis results show the lower complexity, more amenable for parallel implementation of the GMCPHD filter than the convolution PHD (CPHD) filter and the ability to deal with complex obser

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2

Li, Chenming, Wenguang Wang, Thia Kirubarajan, Jinping Sun, and Peng Lei. "PHD and CPHD Filtering With Unknown Detection Probability." IEEE Transactions on Signal Processing 66, no. 14 (2018): 3784–98. http://dx.doi.org/10.1109/tsp.2018.2835398.

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3

Addesso, Paolo, Roberto Conte, Maurizio Longo, Rocco Restaino, and Gemine Vivone. "MAP-MRF Cloud Detection Based on PHD Filtering." IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 5, no. 3 (2012): 919–29. http://dx.doi.org/10.1109/jstars.2012.2191144.

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4

Gao, Song, Chao Bo Chen, and Qian Gong. "Maneuvering Target Tracking Algorithm Based on Particle PHD Filtering." Advanced Materials Research 989-994 (July 2014): 2212–15. http://dx.doi.org/10.4028/www.scientific.net/amr.989-994.2212.

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As for the problem of maneuvering target tracking in the clutter environment, this paper combines IMM with PHD and realizes it through approach of particle filter. This algorithm avoids the troublesome problem of data association, and takes advantage of probability hypothesis density (PHD) filter in tracking maneuvering targets and interacting multi-model (IMM) algorithm in the field of model switching effectively, in the clutter environment, the status of the targets can be estimated precisely and steadily. This paper compares the proposed filtering algorithm with the classical IMM algorithm

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5

Zhang, Guoliang, Chunling Yang, and Yan Zhang. "An Adaptive PHD Filter for Multitarget Tracking with Multispectral Data Fusion." Journal of Spectroscopy 2015 (2015): 1–11. http://dx.doi.org/10.1155/2015/179039.

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In order to improve the detection and tracking performance of multiple targets from IR multispectral image sequences, the approach based on spectral fusion algorithm and adaptive probability hypothesis density (PHD) filter is proposed. Firstly, the nonstationary adaptive suppression method is proposed to remove the background clutter. Based on the multispectral image sequence, the spectral fusion method is used to detect the abnormal targets. Spectral fusion produces the appropriate binary detection model and the computational probability of detection. Secondly, the particle filtering-based ad

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6

Lee, Chee Sing, Daniel E. Clark, and Joaquim Salvi. "SLAM With Dynamic Targets via Single-Cluster PHD Filtering." IEEE Journal of Selected Topics in Signal Processing 7, no. 3 (2013): 543–52. http://dx.doi.org/10.1109/jstsp.2013.2251606.

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7

Petetin, Yohan, Mark Morelande, and Francois Desbouvries. "Marginalized particle PHD filters for multiple object Bayesian filtering." IEEE Transactions on Aerospace and Electronic Systems 50, no. 2 (2014): 1182–96. http://dx.doi.org/10.1109/taes.2014.120805.

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8

Li, Tiancheng, Franz Hlawatsch, and Petar M. Djuric. "Cardinality-Consensus-Based PHD Filtering for Distributed Multitarget Tracking." IEEE Signal Processing Letters 26, no. 1 (2019): 49–53. http://dx.doi.org/10.1109/lsp.2018.2878064.

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9

Li, Tiancheng, Mahendra Mallick, and Quan Pan. "A Parallel Filtering-Communication-Based Cardinality Consensus Approach for Real-Time Distributed PHD Filtering." IEEE Sensors Journal 20, no. 22 (2020): 13824–32. http://dx.doi.org/10.1109/jsen.2020.3004068.

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10

Ren, Yayun, and Benlian Xu. "A Quantitative Analysis on Two RFS-Based Filtering Methods for Multicell Tracking." Mathematical Problems in Engineering 2014 (2014): 1–17. http://dx.doi.org/10.1155/2014/495765.

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Multiobject filters developed from the theory of random finite sets (RFS) have recently become well-known methods for solving multiobject tracking problem. In this paper, we present two RFS-based filtering methods, Gaussian mixture probability hypothesis density (GM-PHD) filter and multi-Bernoulli filter, to quantitatively analyze their performance on tracking multiple cells in a series of low-contrast image sequences. The GM-PHD filter, under linear Gaussian assumptions on the cell dynamics and birth process, applies the PHD recursion to propagate the posterior intensity in an analytic form,

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11

Wang Rong, Feng XinXi, Zhou Hang, Du Wei, and Qi LiFeng. "An Improved Multi-sensor Orderly PHD Convolution Particle Filtering Algorithm." International Journal of Advancements in Computing Technology 5, no. 5 (2013): 895–904. http://dx.doi.org/10.4156/ijact.vol5.issue5.107.

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12

Zhang, Qian, and Taek Song. "Improved Bearings-Only Multi-Target Tracking with GM-PHD Filtering." Sensors 16, no. 9 (2016): 1469. http://dx.doi.org/10.3390/s16091469.

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13

Jianjun, Yin, Zhang Jianqiu, and Zhuang Zesen. "Gaussian Sum PHD Filtering Algorithm for Nonlinear Non-Gaussian Models." Chinese Journal of Aeronautics 21, no. 4 (2008): 341–51. http://dx.doi.org/10.1016/s1000-9361(08)60045-x.

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14

Yin, Jianjun, Dawen Zhang, and Jianqiu Zhang. "The Gaussian Sum Convolution PHD Filtering Algorithms for Nonlinear Models." Information Technology Journal 10, no. 12 (2011): 2357–63. http://dx.doi.org/10.3923/itj.2011.2357.2363.

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15

Fuse, T., D. Hiramatsu, and W. Nakanishi. "MULTI-TARGET DETECTION FROM FULL-WAVEFORM AIRBORNE LASER SCANNER USING PHD FILTER." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLI-B5 (June 16, 2016): 647–52. http://dx.doi.org/10.5194/isprsarchives-xli-b5-647-2016.

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We propose a new technique to detect multiple targets from full-waveform airborne laser scanner. We introduce probability hypothesis density (PHD) filter, a type of Bayesian filtering, by which we can estimate the number of targets and their positions simultaneously. PHD filter overcomes some limitations of conventional Gaussian decomposition method; PHD filter doesn’t require a priori knowledge on the number of targets, assumption of parametric form of the intensity distribution. In addition, it can take a similarity between successive irradiations into account by modelling relative positions

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Fuse, T., D. Hiramatsu, and W. Nakanishi. "MULTI-TARGET DETECTION FROM FULL-WAVEFORM AIRBORNE LASER SCANNER USING PHD FILTER." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLI-B5 (June 16, 2016): 647–52. http://dx.doi.org/10.5194/isprs-archives-xli-b5-647-2016.

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We propose a new technique to detect multiple targets from full-waveform airborne laser scanner. We introduce probability hypothesis density (PHD) filter, a type of Bayesian filtering, by which we can estimate the number of targets and their positions simultaneously. PHD filter overcomes some limitations of conventional Gaussian decomposition method; PHD filter doesn’t require a priori knowledge on the number of targets, assumption of parametric form of the intensity distribution. In addition, it can take a similarity between successive irradiations into account by modelling relative positions

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17

Chen, Xiao, Yaan Li, Yuxing Li, and Jing Yu. "Active Sonar Target Tracking Based on the GM-CPHD Filter Algorithm." Xibei Gongye Daxue Xuebao/Journal of Northwestern Polytechnical University 36, no. 4 (2018): 656–63. http://dx.doi.org/10.1051/jnwpu/20183640656.

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The estimation of underwater multi-target state has always been the difficult problem of active sonar target tracking.In order to get the variable number of target and their state, the random finite set theory is applied to multi-target tracking system.This theory not only effectively avoids the problem of multi-target tracking data association, and also realizes the estimation of time-varying number of targets and their states.Due to Probability Hypothesis Density(PHD) recursion propagates cardnality distribution with only a single parameter, a new generalization of the PHD recursion called C

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18

Liu, Yang, Volkan Kilic, Jian Guan, and Wenwu Wang. "Audio–Visual Particle Flow SMC-PHD Filtering for Multi-Speaker Tracking." IEEE Transactions on Multimedia 22, no. 4 (2020): 934–48. http://dx.doi.org/10.1109/tmm.2019.2937185.

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19

Garcia-Fernandez, Angel F., and Simon Maskell. "Continuous-Discrete Multiple Target Filtering: PMBM, PHD and CPHD Filter Implementations." IEEE Transactions on Signal Processing 68 (2020): 1300–1314. http://dx.doi.org/10.1109/tsp.2020.2968247.

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20

Li, Demeng, Jihong Zhua, Benlian Xu, Mingli Lu, and Mingyue Li. "An Ant–Based Filtering Random–Finite–Set Approach to Simultaneous Localization and Mapping." International Journal of Applied Mathematics and Computer Science 28, no. 3 (2018): 505–19. http://dx.doi.org/10.2478/amcs-2018-0039.

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Abstract Inspired by ant foraging, as well as modeling of the feature map and measurements as random finite sets, a novel formulation in an ant colony framework is proposed to jointly estimate the map and the vehicle trajectory so as to solve a feature-based simultaneous localization and mapping (SLAM) problem. This so-called ant-PHD-SLAM algorithm allows decomposing the recursion for the joint map-trajectory posterior density into a jointly propagated posterior density of the vehicle trajectory and the posterior density of the feature map conditioned on the vehicle trajectory. More specifical

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21

Dehghani, Hamid, and Navid Daryasafar. "Presenting a New Technique for Multi-Target Tracking in Inverse Synthetic Aperture Radar based on PHD Filter in the Presence of Clutters." Frequenz 72, no. 7-8 (2018): 391–99. http://dx.doi.org/10.1515/freq-2017-0172.

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Abstract Using Probability Hypothesis Density (PHD) filtering, a novel approach is proposed in this paper for simultaneous tracking of multiple moving targets in received data by Inverse Synthetic Aperture Radar (ISAR) system. Since PHD filtering approach is implemented successively in prediction and update steps, its performance quality will obviously be higher in “Spotlight” imaging mode than in “Stripmap”. Thus, its application to Spotlight mode is generally more logical. The idea to integrate tracking capability into ISAR system processor is to sort radar received data to correct Range Cel

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22

Beard, Michael, Ba Tuong Vo, Ba-Ngu Vo, and Sanjeev Arulampalam. "A Partially Uniform Target Birth Model for Gaussian Mixture PHD/CPHD Filtering." IEEE Transactions on Aerospace and Electronic Systems 49, no. 4 (2013): 2835–44. http://dx.doi.org/10.1109/taes.2013.6621859.

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23

Beard, Michael, Ba Tuong Vo, Ba-Ngu Vo, and Sanjeev Arulampalam. "A Partially Uniform Target Birth Model for Gaussian Mixture PHD/CPHD Filtering." IEEE Transactions on Aerospace and Electronic Systems 49, no. 4 (2014): 2835–44. http://dx.doi.org/10.1109/taes.2014.6619971.

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24

Chen, Jinguang, Bugao Xu, Lili Ma, and Rui Sun. "GM-PHD Filter Combined with Track-Estimate Association and Numerical Interpolation." Mathematical Problems in Engineering 2015 (2015): 1–9. http://dx.doi.org/10.1155/2015/629023.

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For the standard Gaussian mixture probability hypothesis density (GM-PHD) filter, the number of targets can be overestimated if the clutter rate is too high or underestimated if the detection rate is too low. These problems seriously affect the accuracy of multitarget tracking for the number and the value of measurements and clutters cannot be distinguished and recognized. Therefore, we proposed an improved GM-PHD filter to tackle these problems. Firstly, a track-estimate association was implemented in the filtering process to detect and remove false-alarm targets. Secondly, a numerical interp

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25

Fan, Hongqi, Tomasz Piotr Kucner, Martin Magnusson, Tiancheng Li, and Achim J. Lilienthal. "A Dual PHD Filter for Effective Occupancy Filtering in a Highly Dynamic Environment." IEEE Transactions on Intelligent Transportation Systems 19, no. 9 (2018): 2977–93. http://dx.doi.org/10.1109/tits.2017.2770152.

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26

Liu, Qingju, Wenwu Wang, Teofilo de Campos, Philip J. B. Jackson, and Adrian Hilton. "Multiple Speaker Tracking in Spatial Audio via PHD Filtering and Depth-Audio Fusion." IEEE Transactions on Multimedia 20, no. 7 (2018): 1767–80. http://dx.doi.org/10.1109/tmm.2017.2777671.

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27

Li, Tiancheng, Victor Elvira, Hongqi Fan, and Juan M. Corchado. "Local-Diffusion-Based Distributed SMC-PHD Filtering Using Sensors With Limited Sensing Range." IEEE Sensors Journal 19, no. 4 (2019): 1580–89. http://dx.doi.org/10.1109/jsen.2018.2882084.

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28

Liu, Yu Wen, Xiao Sheng, Zhi Min Qi, Xiao Jun Ye, and Shi Jie Wang. "Research on Multi-Target Particle PHD Tracking Algorithm Based on Multi-Parameter Assistance." Applied Mechanics and Materials 333-335 (July 2013): 1366–69. http://dx.doi.org/10.4028/www.scientific.net/amm.333-335.1366.

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The traditional particle PHD filter only uses kinematic characters and parameters to measure,However,when the kinematic characters of targets are similar with each other (in distance,location,speed,acceleration,etc.) the weighted measurement will become more and more similar,so the tracks of targets will be closer and closer to each other.Eventually the tracks will mingle with each other and can not be distinguished,thus causing misjudgment and failing in achieving accurate tarcking.To solve such kind of target tracking problem,this paper proposes the particle PHD filter tracking algorithm bas

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29

Kilic, Volkan, Mark Barnard, Wenwu Wang, Adrian Hilton, and Josef Kittler. "Mean-Shift and Sparse Sampling-Based SMC-PHD Filtering for Audio Informed Visual Speaker Tracking." IEEE Transactions on Multimedia 18, no. 12 (2016): 2417–31. http://dx.doi.org/10.1109/tmm.2016.2599150.

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30

Lian, Feng, Chongzhao Han, Jing Liu, and Hui Chen. "Convergence Results for the Gaussian Mixture Implementation of the Extended-Target PHD Filter and Its Extended Kalman Filtering Approximation." Journal of Applied Mathematics 2012 (2012): 1–20. http://dx.doi.org/10.1155/2012/141727.

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The convergence of the Gaussian mixture extended-target probability hypothesis density (GM-EPHD) filter and its extended Kalman (EK) filtering approximation in mildly nonlinear condition, namely, the EK-GM-EPHD filter, is studied here. This paper proves that both the GM-EPHD filter and the EK-GM-EPHD filter converge uniformly to the true EPHD filter. The significance of this paper is in theory to present the convergence results of the GM-EPHD and EK-GM-EPHD filters and the conditions under which the two filters satisfy uniform convergence.

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31

Daryasafar, N., R. A. Sadeghzadeh, and M. Naser-Moghadasi. "A technique for multitarget tracking in synthetic aperture radar spotlight imaging mode based on promoted PHD filtering approach." Radio Science 52, no. 2 (2017): 248–58. http://dx.doi.org/10.1002/2016rs006146.

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32

Zheng, Jihong, and Meiguo Gao. "Tracking Ground Targets with a Road Constraint Using a GMPHD Filter." Sensors 18, no. 8 (2018): 2723. http://dx.doi.org/10.3390/s18082723.

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The Gaussian mixture probability hypothesis density (GMPHD) filter is applied to the problem of tracking ground moving targets in clutter due to its excellent multitarget tracking performance, such as avoiding measurement-to-track association, and its easy implementation. For the existing GMPHD-based ground target tracking algorithm (the GMPHD filter incorporating map information using a coordinate transforming method, CT-GMPHD), the predicted probability density of its target state is given in road coordinates, while its target state update needs to be performed in Cartesian ground coordinate

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Daryasafar, N., R. A. Sadeghzadeh, and M. Naser-Moghadasi. "Promotion of GM-PHD Filtering Approach for Single-Target Tracking in Raw Data of Synthetic Aperture Radar in Spotlight Imaging Mode." Radioengineering 26, no. 3 (2017): 842–50. http://dx.doi.org/10.13164/re.2017.0842.

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34

Daryasafar, N., R. A. Sadeghzadeh, and M. Naser-Moghadasi. "Improving Multitarget Tracking in Synthetic Aperture Radar Within a High-Density Clutter, Using a Technique Based on the Promoted PHD Filtering and MTI Filter." Radio Science 53, no. 8 (2018): 963–73. http://dx.doi.org/10.1029/2018rs006592.

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35

Moratuwage, Diluka, Martin Adams та Felipe Inostroza. "δ-Generalized Labeled Multi-Bernoulli Simultaneous Localization and Mapping with an Optimal Kernel-Based Particle Filtering Approach". Sensors 19, № 10 (2019): 2290. http://dx.doi.org/10.3390/s19102290.

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Under realistic environmental conditions, heuristic-based data association and map management routines often result in divergent map and trajectory estimates in robotic Simultaneous Localization And Mapping (SLAM). To address these issues, SLAM solutions have been proposed based on the Random Finite Set (RFS) framework, which models the map and measurements such that the usual requirements of external data association routines and map management heuristics can be circumvented and realistic sensor detection uncertainty can be taken into account. Rao–Blackwellized particle filter (RBPF)-based RF

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36

DOVIER, AGOSTINO. "Preface." Theory and Practice of Logic Programming 17, no. 4 (2017): 359–64. http://dx.doi.org/10.1017/s1471068417000199.

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Magic squares, chess-like problems, cryptarithmetic puzzles, and similar classes of problems have been extensively used to challenge human reasoning capabilities. Lo Shu magic square can be traced back to 650 B.C., the eight-queens problem was proposed in 1848 by the chess player Max Bazzel TWO × TWO = THREE puzzle appeared in Strand Magazine in 1924. These puzzles are nowadays widely used in constraint programming courses. The first programming language provided with constraint modelling primitives (Sketchpad) has been proposed by the Turing award winner Ivan Sutherland in his PhD thesis (196

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37

Sari, Ni Larasati Kartika, Rizky Hidayatulloh, and Samsun Samsun. "Metode Line Profile untuk Menganalisis Citra Ultrasonografi pada Pemeriksaan Peripheral Arterial Disease (PAD)." Jurnal Ilmiah Giga 22, no. 2 (2019): 43. http://dx.doi.org/10.47313/jig.v22i2.766.

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Penelitian ini bertujuan menganalisis profil nilai piksel pada citra USG Peripheral Alrterial Disease (PAD) dengan metode line profile, menghitung nilai SNR dan mengembangkan program peningkatan kualitas citra menggunakan berbagai algoritma filtering dan contrast enhancement. Metode penelitian yang digunakan bersifat eksperimental melalui pengumpulan data citra normal dan abnormal lalu peningkatan kualitas citra menggunakan 3 filtering yaitu median filter, gaussian filter, wiener filter dikombinasi dengan 3 contrast enhancement yaitu global histogram equalization, CLAHE (Contrast Limited Adapt

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38

Khoruzhyi, P. D., E. M. Matseliuk, and D. V. Charnyi. "DEVELOPMENT AND IMPLEMENTATION OF HIGH-EFFICIENCY AND RESOURCE-SAVING TECHNOLOGIES FOR AGRICULTURAL WATER SUPPLY AND WASTEWATER DISPOSAL." Міжвідомчий тематичний науковий збірник "Меліорація і водне господарство", no. 2 (December 12, 2019): 140–45. http://dx.doi.org/10.31073/mivg201902-197.

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Introduction. Scientific support for measures aimed at providing centralized water supply to rural settlements has been entrusted to the Department of Agricultural Water Supply of UkrNIIGiM (now the Institute of Water Problems and Land Reclamation of NAAS) since 1991. The main task of this department of the institute was to develop scientific and technical solutions for reliable supply of all consumers in rural areas with water in the required quantity, of the proper quality and with the necessary free pressure while minimizing capital and operating costs, rational and economic use of wa

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39

Cavdar, Esengul, Gokhan Ozdemir, and Ozkan Kale. "Variation of Near Fault Ground Motion Intensity Measures Due to Filtering." Academic Perspective Procedia 3, no. 2 (2020): 841–49. http://dx.doi.org/10.33793/acperpro.03.02.13.

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Ground motions recorded at near fault zones ensures rich low frequency contents, and high velocity pulse signals which may result in large shear force and displacement demands in structural elements. During the recording of these seismic events by accelerometers, low-frequency noise may sometimes accompany the signal. Thus, extracting this noise from recorded acceleration data is a crucial step of post-processing performed prior to use of acceleration time series in structural analyses for both design or assessment purpose. The objective of this study is to assess the effect of high-pass filte

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Abasahl, Banafsheh, Reyhaneh Jannesari, and Bernhard Jakoby. "Narrow-Band Thermal Photonic Crystal Emitter for Mid-Infrared Applications." Proceedings 2, no. 13 (2018): 752. http://dx.doi.org/10.3390/proceedings2130752.

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Mid-infrared (MIR) on-chip sensing on Si has been a progressive topic of research in the recent years due to excitation of vibrational and rotational bands specific to materials in this range and their immunity against visible light and electromagnetic interferences. For on-chip applications, integration of all the optical components including the MIR source is crucial. In this work, we introduce a slab photonic crystal (PhC) thermal source where the birthplace and the filtering of the photons occur in the same region. Due to the forbidden frequency bands and high density of states in the band

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41

Sağlam, Üstün, and Ahmet Tekin. "Resonance-filtering combo system for continuous wireless charging range coverage." Wireless Power Transfer 7, no. 2 (2020): 116–25. http://dx.doi.org/10.1017/wpt.2020.12.

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AbstractDistribution of wireless power charging field uniformly on a large area pad is critical for power receivers, particularly for wearable devices, wherein small form factor coils are involved. Since the receiver coil size is quite limited in these types of applications, the device is very sensitive to the amount of field it could retain and hence, it needs special placement or snapping mechanism to fix it at an optimum location for reliable wireless charging. In order to overcome this limitation for the end-user, a dual-mode multi-coil power transceiver system is proposed; utilizing reson

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42

Buonanno, Manuela, David Welch, and David J. Brenner. "Exposure of Human Skin Models to KrCl Excimer Lamps: The Impact of Optical Filtering †." Photochemistry and Photobiology 97, no. 3 (2021): 517–23. http://dx.doi.org/10.1111/php.13383.

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43

Roberge, Raymond J. "Effect of Surgical Masks Worn Concurrently Over N95 Filtering Facepiece Respirators." Journal of Public Health Management and Practice 14, no. 2 (2008): E19—E26. http://dx.doi.org/10.1097/01.phh.0000311904.41691.fd.

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44

Cheng, Dongyang, Dangjun Zhao, Junchao Zhang, Caisheng Wei, and Di Tian. "PCA-Based Denoising Algorithm for Outdoor Lidar Point Cloud Data." Sensors 21, no. 11 (2021): 3703. http://dx.doi.org/10.3390/s21113703.

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Due to the complexity of surrounding environments, lidar point cloud data (PCD) are often degraded by plane noise. In order to eliminate noise, this paper proposes a filtering scheme based on the grid principal component analysis (PCA) technique and the ground splicing method. The 3D PCD is first projected onto a desired 2D plane, within which the ground and wall data are well separated from the PCD via a prescribed index based on the statistics of points in all 2D mesh grids. Then, a KD-tree is constructed for the ground data, and rough segmentation in an unsupervised method is conducted to o

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de Fraga, Rafael, Miquéias Ferrão, Adam J. Stow, William E. Magnusson та Albertina P. Lima. "Different environmental gradients affect different measures of snake β-diversity in the Amazon rainforests". PeerJ 6 (24 вересня 2018): e5628. http://dx.doi.org/10.7717/peerj.5628.

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Mechanisms generating and maintaining biodiversity at regional scales may be evaluated by quantifying β-diversity along environmental gradients. Differences in assemblages result in biotic complementarities and redundancies among sites, which may be quantified through multi-dimensional approaches incorporating taxonomic β-diversity (TBD), functional β-diversity (FBD) and phylogenetic β-diversity (PBD). Here we test the hypothesis that snake TBD, FBD and PBD are influenced by environmental gradients, independently of geographic distance. The gradients tested are expected to affect snake assembl

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46

Liu, Lv, and Hong Luo. "Whole-Exome Sequencing Identified a Novel Compound Heterozygous Mutation of LRRC6 in a Chinese Primary Ciliary Dyskinesia Patient." BioMed Research International 2018 (2018): 1–5. http://dx.doi.org/10.1155/2018/1854269.

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Primary ciliary dyskinesia (PCD) is a clinical rare peculiar disorder, mainly featured by respiratory infection, tympanitis, nasosinusitis, and male infertility. Previous study demonstrated it is an autosomal recessive disease and by 2017 almost 40 pathologic genes have been identified. Among them are the leucine-rich repeat- (LRR-) containing 6 (LRRC6) codes for a 463-amino-acid cytoplasmic protein, expressed distinctively in motile cilia cells, including the testis cells and the respiratory epithelial cells. In this study, we applied whole-exome sequencing combined with PCD-known genes filte

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Wang, Yong Guo, Biao Tian, Xiang Ping Yan, and Jiong Yi Song. "Investigation on Peaming Process of PCD Tool when Reaming Aluminium Cast Alloys." Advanced Materials Research 381 (November 2011): 30–33. http://dx.doi.org/10.4028/www.scientific.net/amr.381.30.

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An experimental investigation on the unique reaming behavior of aluminium cast alloys (AlSi12) by using PCD (polycrystalline diamond) tools has been studied. The torque has been monitored in real time during reaming process and the average values of torque were calculated by using FFT (Fast Fourier Transform) filtering. The optimized cutting parameters are provided in terms of analyzing the cutting torque, hole diameter and cylindricity. Results show that the torque initial increases with the rising cutting speed but subsequently decreases when the cutting speed reach to 6000r/min. It is also

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Yang, Yang, Ming Li, and Xie Ma. "An Advanced Vehicle Body Part Inspection Scheme Based on Scattered Point Cloud Data." Applied Sciences 10, no. 15 (2020): 5379. http://dx.doi.org/10.3390/app10155379.

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To further improve the efficiency and accuracy of the vehicle part inspection process, this paper designs an accurate and efficient vehicle body part inspection framework based on scattered point cloud data (PCD). Firstly, a hybrid filtering algorithm for point cloud denoising is designed to solve the problem of multiple noise points in the original point cloud measurement data. Secondly, a point cloud simplification algorithm based on Fuzzy C-Means (FCM) is designed to solve the problems of a large amount of data and many redundant points in the PCD. Thirdly, a point cloud fine registration a

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Patnaik, P. R. "Enhancement of PHB Biosynthesis by Ralstonia Eutropha in Fed-batch Cultures by Neural Filtering and Control1." Food and Bioproducts Processing 84, no. 2 (2006): 150–56. http://dx.doi.org/10.1205/fbp.05008.

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Wouterlood, F. G., P. H. Goede, M. P. Arts, and H. J. Groenewegen. "Simultaneous characterization of efferent and afferent connectivity, neuroactive substances, and morphology of neurons." Journal of Histochemistry & Cytochemistry 40, no. 4 (1992): 457–65. http://dx.doi.org/10.1177/40.4.1552182.

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We present a method for establishing in a single experiment four characteristics of individual neurons: the efferent and afferent connectivity, the morphology, and the content of a particular neuroactive substance. The connectivity of the neurons is determined by retrograde fluorescent tracing with Fast Blue and anterograde tracing with the lectin Phaseolus vulgaris leucoagglutinin (PHA-L). After fixation, the brain is cut into 300-micron thick slices. Neurons containing retrogradely transported Fast Blue are intracellularly injected with the fluorescent dye Lucifer Yellow to fill their dendri

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