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Journal articles on the topic 'IMM algoritmus'

Author: Grafiati

Published: 4 June 2021

Last updated: 1 February 2022

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1

Musicki, D., and S. Suvorova. "Tracking in clutter using IMM-IPDA-based algorithms." IEEE Transactions on Aerospace and Electronic Systems 44, no. 1 (2008): 111–26. http://dx.doi.org/10.1109/taes.2008.4516993.

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2

Jovandic, Igor, Zeljko Djurovic, and Branko Kovacevic. "Adaptive filtering algorithms in target tracking applications." Facta universitatis - series: Electronics and Energetics 16, no. 3 (2003): 317–26. http://dx.doi.org/10.2298/fuee0303317j.

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Comparison of several target tracking algorithms is presented. Namely discrete noise level adjustment (DNLA), variable state dimension (VSD) and interacting multiple model (IMM) algorithms are discussed. Target trajectory, target models, filtering algorithms and simulation results are given. The cumulative estimation error criterion is used in order to compare the algorithms.

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3

Raghavan, V., K. R. Pattipati, and Y. Bar-Shalom. "Efficient L-D factorization algorithms for PDA, IMM, and IMMPDA filters." IEEE Transactions on Aerospace and Electronic Systems 29, no. 4 (1993): 1297–310. http://dx.doi.org/10.1109/7.259533.

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4

Altmann, Daniel M. "New tools for MHC research from machine learning and predictive algorithms to the tumour immunopeptidome." Immunology 154, no. 3 (2018): 329–30. http://dx.doi.org/10.1111/imm.12956.

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5

Raymund, T. D. "Ionospheric tomography algorithms." International Journal of Imaging Systems and Technology 5, no. 2 (1994): 75–85. http://dx.doi.org/10.1002/ima.1850050204.

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6

Ho, Tan-Jan. "Switched IMM-EV Algorithms for State Estimation of Some Jump Markov Systems." IFAC Proceedings Volumes 41, no. 2 (2008): 1396–401. http://dx.doi.org/10.3182/20080706-5-kr-1001.00239.

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7

Zhou, Wei dong, Jia nan Cai, Long Sun, and Chen Shen. "An Improved Interacting Multiple Model Algorithm Used in Aircraft Tracking." Mathematical Problems in Engineering 2014 (2014): 1–8. http://dx.doi.org/10.1155/2014/813654.

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There are some problems in traditional interacting multiple model algorithms (IMM) when used in target tracking systems. For instance, the mode transition matrix is inaccurate and cannot be determined when the sojourn times are not known. To solve these problems, an optimal mode transition matrix IMM (OMTM-IMM) algorithm is proposed in this paper. The linear minimum variance theory is used to calculate the mode transition matrix which depends on the continuous system state rather than the sojourn times in this algorithm. Moreover, the correlation of the subfilter is considered; hence the covar

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8

Wang, Yan, Wenjia Ren, Long Cheng, and Jijun Zou. "A Grey Model and Mixture Gaussian Residual Analysis-Based Position Estimator in an Indoor Environment." Sensors 20, no. 14 (2020): 3941. http://dx.doi.org/10.3390/s20143941.

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As the progress of electronics and information processing technology continues, indoor localization has become a research hotspot in wireless sensor networks (WSN). The adverse non-line of sight (NLOS) propagation usually causes large measurement errors in complex indoor environments. It could decrease the localization accuracy seriously. A traditional grey model considers the motion characteristics but does not take the NLOS propagation into account. A robust interacting multiple model (R-IMM) could effectively mitigate NLOS errors but the clipping point is hard to choose. In order to easily

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9

Jilkov, V. P., D. S. Angelova, and T. A. Semerdjiev. "Design and comparison of mode-set adaptive IMM algorithms for maneuvering target tracking." IEEE Transactions on Aerospace and Electronic Systems 35, no. 1 (1999): 343–50. http://dx.doi.org/10.1109/7.745704.

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10

Belidina, Eliza, H. Bunyamin, and Asep Setia. "Perancangan Aplikasi Fiqih Nikah dan Talak Menurut Mazhab Imam Syafi’i Berbasis Android." Jurnal Algoritma 11, no. 1 (2014): 59–66. http://dx.doi.org/10.33364/algoritma/v.11-1.59.

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11

Németh, Gábor, and Kálmán Palágyi. "Topology preserving parallel thinning algorithms." International Journal of Imaging Systems and Technology 21, no. 1 (2011): 37–44. http://dx.doi.org/10.1002/ima.20272.

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12

Herman, Gabor T., and K. T. Daniel Yeung. "Evaluators of image reconstruction algorithms." International Journal of Imaging Systems and Technology 1, no. 2 (1989): 187–95. http://dx.doi.org/10.1002/ima.1850010208.

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13

Ng, Michael K., C. K. Sze, and S. P. Yung. "Wavelet algorithms for deblurring models." International Journal of Imaging Systems and Technology 14, no. 3 (2004): 113–21. http://dx.doi.org/10.1002/ima.20014.

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14

Rifqo, Muhammad Husni, Dedy Agung Prabowo, and Jaka Dernata. "Sistem Pendukung Keputusan untuk Pemberian Reward Kader Terbaik Organisasi Ikatan Mahasiswa Muhammadiyah Kota Bengulu Menggunakan Algoritma Simple Additive Weighting." Journal of Technopreneurship and Information System (JTIS) 2, no. 2 (2019): 81–88. http://dx.doi.org/10.36085/jtis.v2i2.372.

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Ikatan Mahasiswa Muhammadiyah disingkat IMM adalah gerakan Mahasiswa Islam yang beraqidah Islam bersumber al-Quran dan As-Sunah. Pendapatan keanggotaan Ikatan Mahasiswa Muhammadiyah yang berupa Anggota Biasa, Anggota Luar biasa dan Anggota Kehormatan memerlukan sistem pendukung keputusan untuk menunjang kondisi internal yang baik di level Pimpinan di Kota Bengkulu. Pengambilan keputusan dianggap sebagai sautu proses pemilihan suatu jalur dengan beberapa alternatif-alternatif yang ada, setiap pengambilan keputusan selalu menghasilkan satu pilihan. Seorang anggota organisasi yang menerima reward

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15

Sun, Xiaowei, and Hongbo Zhou. "Experiments with Two New Boosting Algorithms." Intelligent Information Management 02, no. 06 (2010): 386–90. http://dx.doi.org/10.4236/iim.2010.26047.

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16

Greendlinger, Elena, and Martin Greendlinger. "On Dehn presentations and Dehn algorithms." Illinois Journal of Mathematics 30, no. 2 (1986): 360–63. http://dx.doi.org/10.1215/ijm/1256044644.

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17

Liu, Qiaoran, and Xun Yang. "Improved Interacting Multiple Model Particle Filter Algorithm." Xibei Gongye Daxue Xuebao/Journal of Northwestern Polytechnical University 36, no. 1 (2018): 169–75. http://dx.doi.org/10.1051/jnwpu/20183610169.

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For the issue of limited filtering accuracy of interactive multiple model particle filter algorithm caused by the resampling particles don't contain the latest observation information, we made improvements on interactive multiple model particle filter algorithm in this paper based on mixed kalman particle filter algorithm. Interactive multiple model particle filter algorithm is proposed. In addition, the composed methods influence to tracking accuracy are discussed. In the new algorithm the system state estimation is generated with unscented kalman filter (UKF) first and then use the extended

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18

Shin, Donghoon, Subin Yi, Kang-moon Park, and Manbok Park. "An Interacting Multiple Model Approach for Target Intent Estimation at Urban Intersection for Application to Automated Driving Vehicle." Applied Sciences 10, no. 6 (2020): 2138. http://dx.doi.org/10.3390/app10062138.

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Research shows that urban intersections are a hotspot for traffic accidents which cause major human injuries. Predicting turning, passing, and stop maneuvers against surrounding vehicles is considered to be fundamental for advanced driver assistance systems (ADAS), or automated driving systems in urban intersections. In order to estimate the target intent in such situations, an interacting multiple model (IMM)-based intersection-target-intent estimation algorithm is proposed. A driver model is developed to represent the driver’s maneuvering on the intersection using an IMM-based target intent

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19

Hou, Zhiwen, and Fanliang Bu. "A small UAV tracking algorithm based on AIMM-UKF." Aircraft Engineering and Aerospace Technology 93, no. 4 (2021): 579–91. http://dx.doi.org/10.1108/aeat-01-2019-0013.

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Purpose The purpose of this study is to establish an effective tracking algorithm for small unmanned aerial vehicles (UAVs) based on interacting multiple model (IMM) to take timely countermeasures against illegal flying UAVs. Design/methodology/approach In this paper, based on the constant velocity model (CV), the maneuvering adaptive current statistical model (CS) and the angular velocity adaptive three-dimensional (3D) fixed center constant speed rate constant steering rate model, a small UAV tracking algorithm based on adaptive interacting multiple model (AIMM-UKF) is proposed. In addition,

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20

Sutton, Eric, and Helen Na. "Orthogonal decomposition framework for ionospheric tomography algorithms." International Journal of Imaging Systems and Technology 5, no. 2 (1994): 106–11. http://dx.doi.org/10.1002/ima.1850050207.

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21

Hunt, B. R. "Super-resolution of images: Algorithms, principles, performance." International Journal of Imaging Systems and Technology 6, no. 4 (1995): 297–304. http://dx.doi.org/10.1002/ima.1850060403.

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22

Mata-Montero, Manrique, Steven Normore, and Nabil Shalaby. "Generalized Langford sequences: new results and algorithms." International Mathematical Forum 9 (2014): 155–81. http://dx.doi.org/10.12988/imf.2014.38161.

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23

Razali, Sri Rahayu. "PENDETEKSIAN MADZHAB MENGGUNAKAN TEKNIK TEXT MINING DENGAN ALGORITMA C4.5 BERBASIS WEB." KLIK - KUMPULAN JURNAL ILMU KOMPUTER 6, no. 2 (2019): 162. http://dx.doi.org/10.20527/klik.v6i2.215.

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<p><em>Madzhab is an opinion about a law from the Mujtahid Imams which we make as a guide in worshiping Allah SWT. In his opinion, the Mujtahid Imams have different ideas from each other, such as Imam Shafi'i, Hambali Imam, Hanafi Imam and Imam Maliki. To find out the differences of opinion of the Imams, an application was built that was able to display these differences from various files with word detection. Word detection is done by the text mining method, namely the C4.5 algorithm. The value obtained from the C4.5 algorithm in detecting madhab is </em><em>60%.</e

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24

Romanovas, Michailas, Lasse Klingbeil, Martin Traechtler, and Yiannos Manoli. "APPLICATION OF FRACTIONAL SENSOR FUSION ALGORITHMS FOR INERTIAL MEMS SENSING." Mathematical Modelling and Analysis 14, no. 2 (2009): 199–209. http://dx.doi.org/10.3846/1392-6292.2009.14.199-209.

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The work presents an extension of the conventional Kalman filtering concept for systems of fractional order (FOS). Modifications are introduced using the Grünwald‐Letnikov (GL) definition of the fractional derivative (FD) and corresponding truncation of the history length. Two versions of the fractional Kalman filter (FKF) are shown, where the FD is calculated directly or by augmenting the state vector with the estimate of the FD. The filters are compared to conventional integer order (IO) Position (P‐KF) and Position‐Velocity (PV‐KF) Kalman filters as well as to an adaptive Interacting Multip

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25

LIU, Zhicheng, and Bo JIANG. "The Design of the Minimum Spanning Tree Algorithms." Intelligent Information Management 01, no. 01 (2009): 56–59. http://dx.doi.org/10.4236/iim.2009.11010.

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26

Lu, Qing-Hua, and Xian-Min Zhang. "Robust multiscale algorithms for gradient-based motion estimation." International Journal of Imaging Systems and Technology 17, no. 6 (2007): 333–40. http://dx.doi.org/10.1002/ima.20129.

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27

Aizawa, Kunio, Shojiro Tanaka, Koyo Motomura, and Ryosuke Kadowaki. "Algorithms for connected component labeling based on quadtrees." International Journal of Imaging Systems and Technology 19, no. 2 (2009): 158–66. http://dx.doi.org/10.1002/ima.20179.

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28

Tavakoli, A., and A. Kerayechian. "Convergence of multigrid algorithms incorporating an artificial damping." International Mathematical Forum 2 (2007): 3385–93. http://dx.doi.org/10.12988/imf.2007.07314.

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29

Chen, Haihua, Shibao Li, Jianhang Liu, Yiqing Zhou, and Masakiyo Suzuki. "Efficient AM Algorithms for Stochastic ML Estimation of DOA." International Journal of Antennas and Propagation 2016 (2016): 1–10. http://dx.doi.org/10.1155/2016/4926496.

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The estimation of direction-of-arrival (DOA) of signals is a basic and important problem in sensor array signal processing. To solve this problem, many algorithms have been proposed, among which the Stochastic Maximum Likelihood (SML) is one of the most concerned algorithms because of its high accuracy of DOA. However, the estimation of SML generally involves the multidimensional nonlinear optimization problem. As a result, its computational complexity is rather high. This paper addresses the issue of reducing computational complexity of SML estimation of DOA based on the Alternating Minimizat

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30

Yuan, Xianghui, Feng Lian, and Chongzhao Han. "Models and Algorithms for Tracking Target with Coordinated Turn Motion." Mathematical Problems in Engineering 2014 (2014): 1–10. http://dx.doi.org/10.1155/2014/649276.

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Tracking target with coordinated turn (CT) motion is highly dependent on the models and algorithms. First, the widely used models are compared in this paper—coordinated turn (CT) model with known turn rate, augmented coordinated turn (ACT) model with Cartesian velocity, ACT model with polar velocity, CT model using a kinematic constraint, and maneuver centered circular motion model. Then, in the single model tracking framework, the tracking algorithms for the last four models are compared and the suggestions on the choice of models for different practical target tracking problems are given. Fi

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31

Liu, Wenjie, Junxiu Chen, Jiahao Tang, Yinsong Xu, and Xiaoyu Song. "Quantum Algorithms and Experiment Implementations Based on IBM Q." Computers, Materials & Continua 65, no. 2 (2020): 1671–89. http://dx.doi.org/10.32604/cmc.2020.07564.

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32

Zozulya, V. V. "Nonsmooth Optimization Algorithms in Some Problems of Fracture Dynamics." Intelligent Information Management 02, no. 11 (2010): 637–46. http://dx.doi.org/10.4236/iim.2010.211073.

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33

Chen, Wen-Shiung, Lili Hsieh, and Shang-Yuan Yuan. "On the fast search algorithms for vector quantization encoding." International Journal of Imaging Systems and Technology 12, no. 5 (2002): 204–10. http://dx.doi.org/10.1002/ima.10030.

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34

Huang, Chung-Hsin, Hung-Cheng Lu, Chien-Ching Chiu, Tadeusz A. Wysocki, and Beata J. Wysocki. "Image reconstruction of buried multiple conductors by genetic algorithms." International Journal of Imaging Systems and Technology 18, no. 4 (2008): 276–81. http://dx.doi.org/10.1002/ima.20158.

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35

MONTIEL, Oscar, Oscar CASTILLO, Patricia MELIN, and Roberto SEPULVEDA. "Mediative Fuzzy Logic for Controlling Population Size in Evolutionary Algorithms." Intelligent Information Management 01, no. 02 (2009): 108–19. http://dx.doi.org/10.4236/iim.2009.12016.

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36

Jaco, William, and Jeffrey L. Tollefson. "Algorithms for the complete decomposition of a closed $3$-manifold." Illinois Journal of Mathematics 39, no. 3 (1995): 358–406. http://dx.doi.org/10.1215/ijm/1255986385.

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37

Shpilrain, Vladimir. "Sublinear time algorithms in the theory of groups and semigroups." Illinois Journal of Mathematics 54, no. 1 (2010): 187–97. http://dx.doi.org/10.1215/ijm/1299679745.

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38

Kannammal, A., and S. Subha Rani. "Two level security for medical images using watermarking/encryption algorithms." International Journal of Imaging Systems and Technology 24, no. 1 (2014): 111–20. http://dx.doi.org/10.1002/ima.22086.

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39

Sha, Zijun, Lin Hu, and Babak Daneshvar Rouyendegh. "Deep learning and optimization algorithms for automatic breast cancer detection." International Journal of Imaging Systems and Technology 30, no. 2 (2020): 495–506. http://dx.doi.org/10.1002/ima.22400.

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40

Gimel'farb, G. L. "Intensity-based computer binocular stereo vision: Signal models and algorithms." International Journal of Imaging Systems and Technology 3, no. 3 (1991): 189–200. http://dx.doi.org/10.1002/ima.1850030304.

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41

Wei, Jianming, and Ezzatollah Salari. "Optimal packetization scheme for embedded multimedia bitstreams using genetic algorithms." International Journal of Imaging Systems and Technology 16, no. 3 (2006): 77–84. http://dx.doi.org/10.1002/ima.20070.

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42

Falcon-Morales, L., and E. Bayro-Corrochano. "Design of algorithms of robot vision using conformal geometric algebra." International Mathematical Forum 2 (2007): 981–1005. http://dx.doi.org/10.12988/imf.2007.07086.

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43

Bley, Werner, and Manuel Breuning. "Exact algorithms for $p$-adic fields and epsilon constant conjectures." Illinois Journal of Mathematics 52, no. 3 (2008): 773–97. http://dx.doi.org/10.1215/ijm/1254403714.

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44

Li, Rui, Unai Alvarez-Rodriguez, Lucas Lamata, and Enrique Solano. "Approximate Quantum Adders with Genetic Algorithms: An IBM Quantum Experience." Quantum Measurements and Quantum Metrology 4, no. 1 (2017): 1–7. http://dx.doi.org/10.1515/qmetro-2017-0001.

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AbstractIt has been proven that quantum adders are forbidden by the laws of quantum mechanics. We analyze theoretical proposals for the implementation of approximate quantum adders and optimize them by means of genetic algorithms, improving previous protocols in terms of efficiency and fidelity. Furthermore, we experimentally realize a suitable approximate quantum adder with the cloud quantum computing facilities provided by IBM Quantum Experience. The development of approximate quantum adders enhances the toolbox of quantum information protocols, paving the way for novel applications in quant

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45

ELEMBABY, Shaimaa M., Vidan F. GHONEIM, and Manal ABDEL. "Comparing gene regulatory inferring algorithms with different perspective." Instrumentation Mesure Métrologie 18, no. 4 (2018): 653–61. http://dx.doi.org/10.3166/i2m.17.653-661.

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46

Zhang, Yan Ming, Hong Ling Ye, Yao Ming Li, and Yun Kang Sui. "The Research of Optimization Algorithm of Dynamic Topology Optimization Model of Continuum Structure Based on the ICM Method." Applied Mechanics and Materials 380-384 (August 2013): 1804–7. http://dx.doi.org/10.4028/www.scientific.net/amm.380-384.1804.

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In this paper, we mainly focus on the structural optimal design of dynamics for continuum structures, and aim at constructing the topological optimal formulation by using the ICM (Independent, Continuum and Mapping) method, which is considering weight as objective function and fundamental eigenfrequency as constraint. The local model is removed by selecting suitable filter function. And two algorithms, dual sequential quadratic programming (DSQP) and global convergent method of moving asymptotes (GCMMA) algorithm, were used to solve the mathematic optimal model. Finally, numerical example is p

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47

Liu, Hongqiang, Zhongliang Zhou, and Lei Yu. "Maneuvering Acceleration Estimation Algorithm Using Doppler Radar Measurement." Mathematical Problems in Engineering 2018 (June 4, 2018): 1–13. http://dx.doi.org/10.1155/2018/4984186.

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An algorithm to estimate the tangential and normal accelerations directly using the Doppler radar measurement in an online closed loop form is proposed. Specific works are as follows: first, the tangential acceleration and normal acceleration are taken as the state variables to establish a linear state transition equation; secondly, the decorrelation unbiased conversion measurement Kalman filter (DUCMKF) algorithm is proposed to deal with the strongly nonlinear measurement equation; thirdly, the geometric relationship between the range rate and the velocity direction angle is used to obtain tw

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48

Reader, Andrew J. "List-mode EM algorithms for limited precision high-resolution PET image reconstruction." International Journal of Imaging Systems and Technology 14, no. 3 (2004): 139–45. http://dx.doi.org/10.1002/ima.20017.

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49

Nagy, Benedek, and Robin Strand. "Neighborhood sequences in the diamond grid: Algorithms with two and three neighbors." International Journal of Imaging Systems and Technology 19, no. 2 (2009): 146–57. http://dx.doi.org/10.1002/ima.20182.

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50

Engin, Erman, and Meriç Özcan. "Moving target detection using super-resolution algorithms with an ultra wideband radar." International Journal of Imaging Systems and Technology 20, no. 3 (2010): 237–44. http://dx.doi.org/10.1002/ima.20242.

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