Journal articles: 'Linear Multi-Target'

1

Radosavljevic, Zvonko, Song Lyul, and Branko Kovacevic. "Linear multi-target IPF algorithm for automatic tracking." Scientific Technical Review 66, no. 1 (2016): 3–10. http://dx.doi.org/10.5937/str1601003r.

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Clark, Daniel E. "Multi-Sensor Network Information for Linear-Gaussian Multi-Target Tracking Systems." IEEE Transactions on Signal Processing 69 (2021): 4312–25. http://dx.doi.org/10.1109/tsp.2021.3096044.

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3

Khunsmuth, K., and T. Mouktonglang. "Discrete multi-target linear-quadratic control problem and quadratic programming." Applied Mathematical Sciences 7 (2013): 4037–48. http://dx.doi.org/10.12988/ams.2013.35279.

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4

Courrieu, Pierre. "On the convergence of rank-one multi-target linear regression." Statistics 55, no. 1 (January 2, 2021): 68–89. http://dx.doi.org/10.1080/02331888.2021.1891236.

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Liu, Rang, Hongqi Fan, Tiancheng Li, and Huaitie Xiao. "A Computationally Efficient Labeled Multi-Bernoulli Smoother for Multi-Target Tracking." Sensors 19, no. 19 (September 28, 2019): 4226. http://dx.doi.org/10.3390/s19194226.

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A forward–backward labeled multi-Bernoulli (LMB) smoother is proposed for multi-target tracking. The proposed smoother consists of two components corresponding to forward LMB filtering and backward LMB smoothing, respectively. The former is the standard LMB filter and the latter is proved to be closed under LMB prior. It is also shown that the proposed LMB smoother can improve both the cardinality estimation and the state estimation, and the major computational complexity is linear with the number of targets. Implementation based on the Sequential Monte Carlo method in a representative scenario has demonstrated the effectiveness and computational efficiency of the proposed smoother in comparison to existing approaches.

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Yao, Yu, Junhui Zhao, and Lenan Wu. "Doppler Data Association Scheme for Multi-Target Tracking in an Active Sonar System." Sensors 19, no. 9 (April 29, 2019): 2003. http://dx.doi.org/10.3390/s19092003.

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In many wireless sensors, the target kinematic states include location and Doppler information that can be observed from a time series of range and velocity measurements. In this work, we present a tracking strategy for comprising target velocity components as part of the measurement supplement procedure and evaluate the advantages of the proposed scheme. Data association capability can be considered as the key performance for multi-target tracking in an active sonar system. Then, we proposed an enhanced Doppler data association (DDA) scheme which exploits target range and target velocity components for linear multi-target tracking. If the target velocity measurements are not incorporated into target kinematic state tracking, the linear filter bank for the combination of target velocity components can be implemented. Finally, a significant enhancement in the multi-target tracking capability provided by the proposed DDA scheme with the linear multi-target combined probabilistic data association method is demonstrated in a sonar underwater scenario.

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YANG, Liying. "Solution of Mixed Integer Linear Programming for Multi-target Pursuit Problem." Chinese Journal of Mechanical Engineering 44, no. 10 (2008): 51. http://dx.doi.org/10.3901/jme.2008.10.051.

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Faybusovich, L., and T. Mouktonglang. "Multi-target linear-quadratic control problem and second-order cone programming." Systems & Control Letters 52, no. 1 (May 2004): 17–23. http://dx.doi.org/10.1016/j.sysconle.2003.10.003.

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9

LI Jing, 李晶, 袁峰 YUAN Feng, and 胡英辉 HU Ying-hui. "Attitude measurement of space objects based on multi-linear CCD and multi-point cooperation target." Optics and Precision Engineering 21, no. 6 (2013): 1635–41. http://dx.doi.org/10.3788/ope.20132106.1635.

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10

Lee, Chang Joo, Jung Min Pak, Choon Ki Ahn, Kyung Min Min, Peng Shi, and Myo Taeg Lim. "Multi-target FIR tracking algorithm for Markov jump linear systems based on true-target decision-making." Neurocomputing 168 (November 2015): 298–307. http://dx.doi.org/10.1016/j.neucom.2015.05.096.

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11

Habera, Łukasz, and Kamil Hebda. "Testing the effectiveness of multi-layer target penetration by linear shaped charges." Nafta-Gaz 76, no. 12 (December 2020): 919–28. http://dx.doi.org/10.18668/ng.2020.12.05.

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Choć zjawisko kumulacji detonacyjnej jest dobrze znane i wykorzystywane w technice strzelniczej na całym świecie, to branża naftowa wciąż poszukuje jak najefektywniejszego sposobu perforacji odwiertów naftowych i gazowych. Wykorzystanie materiałów wybuchowych w ładunkach kumulacyjnych przeznaczonych do prac perforacyjnych zapewnia skuteczne połączenie hydrauliczne odwiertu ze złożem, ale wciąż pozostają lokalne negatywne skutki detonacji w postaci stref zmiażdżonych i zniszczonych wokół kanałów perforacyjnych. W niniejszym referacie zaproponowano nowe spojrzenie na sposób perforacji odwiertów. Pozostając w domenie materiałów wybuchowych, przedstawiono metodę perforacji opartej na wykorzystaniu liniowych ładunków kumulacyjnych, których działanie potęguje energia spalania propelantów. W referacie przedstawiono przebieg i rezultaty czterech testów strzałowych koncepcyjnego urządzenia perforująco-szczelinującego o roboczej nazwie Szczelinogenerator, którego głównym zadaniem jest przebicie wielowarstwowego zróżnicowanego materiałowo celu, jakim jest wgłębna konstrukcja odwiertu. Przedstawione badania poświęcone są skuteczności perforowania układu stal–woda–beton. W ich toku rozwiano obawy dotyczące braku jednoczesności zainicjowania wszystkich uzbrojonych ładunków i wystąpienia działań niszczących urządzenie jeszcze przed jego pełnym zadziałaniem. Potwierdziła się jednak hipoteza o konieczności gruntownej modernizacji ładunków liniowych, które w obecnej formie uwalniają zbyt dużą ilość energii poza oś działania strumienia kumulacyjnego. Przedmiotowe straty energii, po pierwsze, osłabiają działanie ładunku, po drugie, powodują zniszczenia rury korpusowej jako urządzenia nośnego poprzez wydatne rozdęcie i rozerwanie. Analiza przekrojów powstałych szczelin kumulacyjnych pozwala stwierdzić, że są one jednorodne i nie obserwuje się w nich znaczących zmian szerokości. Głębokości czy zasięgu szczelin na tym etapie pracy nie określono z powodu zniszczenia części betonowej modeli imitujących odcinki otworu wiertniczego. Przeprowadzone badania, zrealizowane w postaci czterech testów strzałowych, potwierdzają zdolność ładunków kumulacyjnych liniowych do skutecznego penetrowania celów o budowie wielowarstwowej.

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12

Kang, Li, Wei-xin Xie, and Jing-xiong Huang. "Non-linear Multi-target Tracking Based on SIS Framework and Ant Colony Optimization." Journal of Electronics & Information Technology 30, no. 9 (April 7, 2011): 2148–51. http://dx.doi.org/10.3724/sp.j.1146.2007.00688.

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13

Faybusovich, L., and T. Mouktonglang. "Remark on multi-target, robust linear-quadratic control problem on semi-infinite interval." Communications in Information and Systems 16, no. 2 (2016): 117–26. http://dx.doi.org/10.4310/cis.2016.v16.n2.a3.

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14

Lu, Weigang, Zhiping Zhou, Lijuan Zhang, and Guoqiang Zheng. "Multi-target tracking by non-linear motion patterns based on hierarchical network flows." Multimedia Systems 25, no. 4 (April 19, 2019): 383–94. http://dx.doi.org/10.1007/s00530-019-00614-y.

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15

Houssineau, Jeremie. "A Linear Algorithm for Multi-Target Tracking in the Context of Possibility Theory." IEEE Transactions on Signal Processing 69 (2021): 2740–51. http://dx.doi.org/10.1109/tsp.2021.3077304.

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16

Soheilian, B., and M. Brédif. "Multi-view 3D circular target reconstruction with uncertainty analysis." ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences II-3 (August 7, 2014): 143–48. http://dx.doi.org/10.5194/isprsannals-ii-3-143-2014.

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The paper presents an algorithm for reconstruction of 3D circle from its apparition in n images. It supposes that camera poses are known up to an uncertainty. They will be considered as observations and will be refined during the reconstruction process. First, circle apparitions will be estimated in every individual image from a set of 2D points using a constrained optimization. Uncertainty of 2D points are propagated in 2D ellipse estimation and leads to covariance matrix of ellipse parameters. In 3D reconstruction process ellipse and camera pose parameters are considered as observations with known covariances. A minimal parametrization of 3D circle enables to model the projection of circle in image without any constraint. The reconstruction is performed by minimizing the length of observation residuals vector in a non linear Gauss-Helmert model. The output consists in parameters of the corresponding circle in 3D and their covariances. The results are presented on simulated data.

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17

He, Chaoxin, Min Zhang, Guizhou Wu, and Fucheng Guo. "Linear-Time Direct Data Assignment Algorithm for Passive Sensor Measurements." Sensors 19, no. 24 (December 4, 2019): 5347. http://dx.doi.org/10.3390/s19245347.

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To solve the problem of passive sensor data association in multi-sensor multi-target tracking, a novel linear-time direct data assignment (DDA) algorithm is proposed in this paper. Different from existing methods which solve the data association problem in the measurement domain, the proposed algorithm solves the problem directly in the target state domain. The number and state of candidate targets are preset in the region of interest, which can avoid the problem of combinational explosion. The time complexity of the proposed algorithm is linear with the number of sensors and targets while that of the existing algorithms are exponential. Computer simulations show that the proposed algorithm can achieve almost the same association accuracy as the existing algorithms, but the time consumption can be significantly reduced.

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18

He, Li Li, and Xiao Chun Lou. "Study on the Formation Control Methods for Multi-Agent Based on Geometric Characteristics." Advanced Materials Research 765-767 (September 2013): 1928–31. http://dx.doi.org/10.4028/www.scientific.net/amr.765-767.1928.

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Multi-agent formation control is the process in which the teams formed by multiple agents move to specific target or specific direction. The formation method of the linear formation and circular formation are given in this paper, based on the geometric characteristics of the formation formed by multi-agent. The process in which 5 agents arrived at the designated target point and formed a linear formation is achieved through simulation; and 4 agents formed a circular formation and cooperated to carry heavy weights. The result of the three-dimensional simulation shows the feasibility of the method to form multi-agent formations in different environments and different tasks.

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19

Shin, Minho, and Hungsun Son. "Multiple Sensor Linear Multi-Target Integrated Probabilistic Data Association for Ultra-Wide Band Radar." IEEE Access 8 (2020): 227161–71. http://dx.doi.org/10.1109/access.2020.3045933.

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20

Erofeeva, Victoria, Oleg Granichin, and Olga Granichina. "Multi-Sensor Task Assignment Using Linear Matrix Inequalities in the Multiple Target Tracking Problem." IFAC-PapersOnLine 51, no. 15 (2018): 880–85. http://dx.doi.org/10.1016/j.ifacol.2018.09.110.

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21

Zhang, Qing Fang, Zhong Yi Cai, and Ming Zhe Li. "Study on Springback Compensation in Multi-Point Forming." Advanced Materials Research 189-193 (February 2011): 2957–60. http://dx.doi.org/10.4028/www.scientific.net/amr.189-193.2957.

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Springback compensation of Multi-point forming (MPF) was analyzed in the paper based on the ideal elastic-plasticity and linear hardening material models. The calculation formulas for adjusting radius of MPF die, both single-curvature and double-curvature, were obtained. Cylinder and spherical surfaces were formed by MPF equipment. Experimental results show that the errors between formed surface and target shape are within 5%. Moreover, when using formulas derived from linear hardening model, it is found that the formed surface is more close to target contour, and the presented formula can be used to determine the adjusting radius of MPF die in practice.

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22

Casañola-Martin, Gerardo M., Huong Le-Thi-Thu, Facundo Pérez-Giménez, Yovani Marrero-Ponce, Matilde Merino-Sanjuán, Concepción Abad, and Humberto González-Díaz. "Multi-output model with Box–Jenkins operators of linear indices to predict multi-target inhibitors of ubiquitin–proteasome pathway." Molecular Diversity 19, no. 2 (March 10, 2015): 347–56. http://dx.doi.org/10.1007/s11030-015-9571-9.

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23

Wang, Bin, Shumin Li, Xishi Wang, and Xin Li. "An Adaptive Multi-Target Radar Waveform Design Based on PWS Algorithm." Entropy 22, no. 1 (December 25, 2019): 31. http://dx.doi.org/10.3390/e22010031.

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Due to the uncertainty of radar target prior information in actual scenes, waveform design based on radar target prior information cannot meet the requirements of detection performance and parameter estimation. Aiming at the problem of waveform design for detecting multi-target in the presence of clutter, a linear probability-weighted summation (PWS) algorithm based on multi-target impulse response is proposed and includes the radar waveform design based on mutual information (MI) and signal-to-interference ratio (SINR) criteria. In view of the traditional water-filling algorithm, the problem of multi-target is further investigated in a new way to improve the overall performance of the system. The method makes a lot of deductions by using Jensen’s inequality, to determine the algorithm objective function and energy constraint. The simulation results show that the proposed algorithm has better detection performance and more accurate target information.

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Arasteh, Abdollah, and Bijan Vosoughi Vahdat. "Evaluation of Multi-Target Human Sperm Tracking Algorithms in Synthesized Dataset." International Journal of Monitoring and Surveillance Technologies Research 4, no. 2 (April 2016): 16–29. http://dx.doi.org/10.4018/ijmstr.2016040102.

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Infertility is an important issue for many couples and male infertility is highly related to semen and spermatozoa which can be surveyed by means of semen/sperm analysis. Many fertility assessment laboratories are now equipped with automatic systems called Computer Aided Semen/Sperm Analysis (CASA) for doing this task. Evaluation of such systems is very important. In this research a web-based simulator is developed which facilitates evaluation of CASA systems. The developed software has many useful parameters such as blurring images or adding noise and it also gives full control of sperm counts and types. To illustrate performance of the developed simulator, many parameters such as spermatozoa population, standard deviation of Gaussian blur filter and noise intensity have been swept and the results of two well-known multi-target tracking systems (Linear Kalman Filter and Particle Filter) were compared and discussed.

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Halder, Amit Kumar, Amal Kanta Giri, and Maria Natália Dias Soeiro Cordeiro. "Multi-Target Chemometric Modelling, Fragment Analysis and Virtual Screening with ERK Inhibitors as Potential Anticancer Agents." Molecules 24, no. 21 (October 30, 2019): 3909. http://dx.doi.org/10.3390/molecules24213909.

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Two isoforms of extracellular regulated kinase (ERK), namely ERK-1 and ERK-2, are associated with several cellular processes, the aberration of which leads to cancer. The ERK-1/2 inhibitors are thus considered as potential agents for cancer therapy. Multitarget quantitative structure–activity relationship (mt-QSAR) models based on the Box–Jenkins approach were developed with a dataset containing 6400 ERK inhibitors assayed under different experimental conditions. The first mt-QSAR linear model was built with linear discriminant analysis (LDA) and provided information regarding the structural requirements for better activity. This linear model was also utilised for a fragment analysis to estimate the contributions of ring fragments towards ERK inhibition. Then, the random forest (RF) technique was employed to produce highly predictive non-linear mt-QSAR models, which were used for screening the Asinex kinase library and identify the most potential virtual hits. The fragment analysis results justified the selection of the hits retrieved through such virtual screening. The latter were subsequently subjected to molecular docking and molecular dynamics simulations to understand their possible interactions with ERK enzymes. The present work, which utilises in-silico techniques such as multitarget chemometric modelling, fragment analysis, virtual screening, molecular docking and dynamics, may provide important guidelines to facilitate the discovery of novel ERK inhibitors.

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Wang, S. B., S. C. Wang, Z. G. Liu, S. Zhang, and Y. Guo. "Multi-agent cooperative multi-model adaptive guidance law." Aeronautical Journal 125, no. 1288 (March 4, 2021): 1103–29. http://dx.doi.org/10.1017/aer.2021.7.

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ABSTRACTA multi-agent engagement scenario is considered in which a high-value aircraft launches two defenders to intercept two homing missiles aimed at the aircraft. Under the assumption that all aircrafts have first-order linear dynamic characteristics, a combined multiple-mode adaptive estimation (MMAE) and a two-way cooperative optimal guidance law are proposed for the target–defenders team. Considering the full cooperation of the target and both the two defenders, the two-way cooperative strategies provide the analytical expressions for their optimal control input, enabling the target–defenders team to intercept the missiles with minimal control effort. To successfully intercept the missiles, MMAE is used to identify the guidance laws adopted by the missiles and estimate their states. The simulation results show that the target cooperating with the defenders to perform lure manoeuvres for the missiles can improve the guidance performance of the defenders as well as reduce the control effort of the defenders for intercepting the missiles.

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Lian, Jing, Lin Hui Li, Xiao Yong Shen, and Xian Peng Hao. "Multi-Scale Edge Extraction Based Stereo Matching Algorithm." Applied Mechanics and Materials 44-47 (December 2010): 4162–66. http://dx.doi.org/10.4028/www.scientific.net/amm.44-47.4162.

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In the field of robot vision, edge feature based stereo matching algorithm can reconstruct the targets with clear contours, which needs accurate and continuous target edges been extracted. In the paper, the smoothing filter operator was designed based on the discrete criteria of edge extraction and its correspondence optimal linear filter. Edge extraction was carried out incorporated the nonmaximum suppression and two thresholds techniques. The discrete criteria based multi-scale edge extraction method was studied with full use of the multi-scale character of the edge information. The detected multi-scale edges were synthesized to obtain the accurate and continuous single pixel wide edge. Then an edge feature based stereo matching algorithm was proposed to obtain 3D information of target. The experimental results demonstrate that the method can effectively suppress disturbance in outdoor environment and reconstruct target contour clearly.

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28

Zhang, Huanqing, Hongwei Ge, and Jinlong Yang. "Improved Gaussian Mixture Probability Hypothesis Density for Tracking Closely Spaced Targets." International Journal of Electronics and Telecommunications 63, no. 3 (August 28, 2017): 247–54. http://dx.doi.org/10.1515/eletel-2017-0033.

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AbstractProbability hypothesis density (PHD) filter is a suboptimal Bayesian multi-target filter based on random finite set. The Gaussian mixture PHD filter is an analytic solution to the PHD filter for linear Gaussian multi-target models. However, when targets move near each other, the GM-PHD filter cannot correctly estimate the number of targets and their states. To solve the problem, a novel reweighting scheme for closely spaced targets is proposed under the framework of the GM-PHD filter, which can be able to correctly redistribute the weights of closely spaced targets, and effectively improve the multiple target state estimation precision. Simulation results demonstrate that the proposed algorithm can accurately estimate the number of targets and their states, and effectively improve the performance of multi-target tracking algorithm.

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Liu, Chun, Junjun Yin, Jian Yang, and Wei Gao. "Classification of Multi-Frequency Polarimetric SAR Images Based on Multi-Linear Subspace Learning of Tensor Objects." Remote Sensing 7, no. 7 (July 20, 2015): 9253–68. http://dx.doi.org/10.3390/rs70709253.

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One key problem for the classification of multi-frequency polarimetric SAR images is to extract target features simultaneously in the aspects of frequency, polarization and spatial texture. This paper proposes a new classification method for multi-frequency polarimetric SAR data based on tensor representation and multi-linear subspace learning (MLS). Firstly, each cell of the SAR images is represented by a third-order tensor in the frequency, polarization and spatial domains, with each order of tensor corresponding to one domain. Then, two main MLS methods, i.e., multi-linear principal component analysis (MPCA) and multi-linear extension of linear discriminant analysis (MLDA), are used to learn the third-order tensors. MPCA is used to analyze the principal component of the tensors. MLDA is applied to improve the discrimination between different land covers. Finally, the lower dimension subtensor features extracted by the MPCA and MLDA algorithms are classified with a neural network (NN) classifier. The classification scheme is accessed using multi-band polarimetric SAR images (C-, L- and P-band) acquired by the Airborne Synthetic Aperture Radar (AIRSAR) sensor of the Jet Propulsion Laboratory (JPL) over the Flevoland area. Experimental results demonstrate that the proposed method has good classification performance in comparison with the classic multi-band Wishart classifier. The overall classification accuracy is close to 99%, even when the number of training samples is small.

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Habera, Łukasz, and Kamil Hebda. "Badania porównawcze liniowych ładunków kumulacyjnych." Nafta-Gaz 77, no. 6 (June 2021): 366–75. http://dx.doi.org/10.18668/ng.2021.06.02.

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The fireground tests are the best method for verifying the operation effectiveness of the entire shooting device or its component parts in real conditions. The purpose of the fireground tests presented herein was the physical verification of linear shaped charge (LSC) ability to perforate multi-layered target, reflecting the material and geometrical conditions of a borehole. The series of shooting tests included tests of three types of linear shaped charges selected for use in perfo-fracturing devices. The following shaped charges were tested: LSC in lead enclosure, having φ = 40 mm circular cross-section with shaped recess; LSC with copper liner in 20/30 mm steel trapezoid enclosure; LSC with liner made of solid copper, in 20/40 mm steel trapezoidal enclosure.During testing, the cumulative jet velocity was recorded using voltage type probes, arranged between the individual layers of a target composed of steel and concrete materials. The research method adapted for the project purposes was aimed at verification of the following thesis: whether the proposed shaped charges fulfil the technical and performance conditions for their effective application in the oil industry. The criterion adopted was the ability – or lack of ability – to perforate the multi-layered barrier in the form of two steel plates and concrete casting. The testing stand, single-use by its nature, was each time composed of concrete block having 400 mm ´ 250 mm ´ 150 mm dimensions and 20 MPa static compressive strength, on which two steel plates were placed parallel to each other with 20 mm spacing. The thickness of the plates was 5 mm and 10 mm respectively. The tested shaped charge was placed on the top steel plate at a distance of one calibre – that is the distance equal to the opening of the trapezoidal shaped charge and full diameter of circular cross-section charge. Furthermore, within media interface planes (steel/air, air/steel; steel/concrete), the set of voltage-type measuring probes was installed, in the form of single electric wires (φ = 0.25 mm). At an instant when they break (circuit break) as a result of cumulative jet operation, voltage drop in the subsequent measuring probes will act as a logical gate of start-stop type, or in other words the zero-one (0–1) type gate. The readings of individual probes breakage times allowed in addition to determine the velocity of the cumulative jet and to estimate its braking dynamics while passing through the subsequent elements of multi-layered target.

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Zhang, Heng, and Zhongming Pan. "Multi-targets localization based on ARMA and GA in WSNs." MATEC Web of Conferences 189 (2018): 04015. http://dx.doi.org/10.1051/matecconf/201818904015.

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Multi-target localization methods for locating of the movingtarget in interested area monitored by Wireless Sensor Networks (WSNs) are nowadays a popular subject of study. The methods can be classified into two categories: range-free algorithm and range-based algorithm. In this work, we propose a novel multi-target localization method, which belongs to the category of range-based algorithm, by using a genetic algorithm (GA) for searching optimal solution of the objective function of multi-target localization. The objective function is only a group of linear equations with independent variables of acoustic energies calculated at each sensor-node in a WSN. However, application of the method, the accuracy of multi-target localization is sensitive to the SNR of the measured sound signals at each node, thus a denoising strategy should be inserted into the method. It turned out that the measured sound noise, comparing intrinsic sensor noise and environmental noise, may be considered as an Autoregressive Moving Average (ARMA) process. Thus, by building the ARMA model, the noise sequence commingled with the target signals can be predicted. As a consequence, the power of the noises can be subtracted from the measured sound signals for revealing the target signal's power. The results in present work demonstrate the advantage of the proposed method.

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32

Yuan, Xianghui, Feng Lian, and Chongzhao Han. "Multiple-Model Cardinality Balanced Multitarget Multi-Bernoulli Filter for Tracking Maneuvering Targets." Journal of Applied Mathematics 2013 (2013): 1–16. http://dx.doi.org/10.1155/2013/727430.

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By integrating the cardinality balanced multitarget multi-Bernoulli (CBMeMBer) filter with the interacting multiple models (IMM) algorithm, an MM-CBMeMBer filter is proposed in this paper for tracking multiple maneuvering targets in clutter. The sequential Monte Carlo (SMC) method is used to implement the filter for generic multi-target models and the Gaussian mixture (GM) method is used to implement the filter for linear-Gaussian multi-target models. Then, the extended Kalman (EK) and unscented Kalman filtering approximations for the GM-MM-CBMeMBer filter to accommodate mildly nonlinear models are described briefly. Simulation results are presented to show the effectiveness of the proposed filter.

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Khuwaileh, Bassam A., and Paul J. Turinsky. "Non-linear, time dependent target accuracy assessment algorithm for multi-physics, high dimensional nuclear reactor calculations." Progress in Nuclear Energy 114 (July 2019): 227–33. http://dx.doi.org/10.1016/j.pnucene.2019.01.023.

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34

Saebboe, J., and D. T. Gjessing. "Nonlinear and linear combination of multi-frequency signals for radar target classification; verification of basic relations." IEE Proceedings - Radar, Sonar and Navigation 153, no. 4 (2006): 352. http://dx.doi.org/10.1049/ip-rsn:20050013.

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35

Zhang, Qian, Yifan Xie, and Taek Lyul Song. "Distributed multi-target tracking with Y-shaped passive linear array sonars for effective ghost track elimination." Information Sciences 433-434 (April 2018): 163–87. http://dx.doi.org/10.1016/j.ins.2017.12.042.

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Stock, Michiel, Krzysztof Dembczyński, Bernard De Baets, and Willem Waegeman. "Exact and efficient top-K inference for multi-target prediction by querying separable linear relational models." Data Mining and Knowledge Discovery 30, no. 5 (March 1, 2016): 1370–94. http://dx.doi.org/10.1007/s10618-016-0456-z.

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Kang, Seyoung, Taehyun Kim, and Wonzoo Chung. "Multi-Target Localization Based on Unidentified Multiple RSS/AOA Measurements in Wireless Sensor Networks." Sensors 21, no. 13 (June 29, 2021): 4455. http://dx.doi.org/10.3390/s21134455.

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All existing hybrid target localization algorithms using received signal strength (RSS) and angle of arrival (AOA) measurements in wireless sensor networks, to the best of our knowledge, assume a single target such that even in the presence of multiple targets, the target localization problem is translated to multiple single-target localization problems by assuming that multiple measurements in a node are identified with their originated targets. Herein, we first consider the problem of multi-target localization when each anchor node contains multiple RSS and AOA measurement sets of unidentified origin. We propose a computationally efficient method to cluster RSS/AOA measurement sets that originate from the same target and apply the existing single-target linear hybrid localization algorithm to estimate multiple target positions. The complexity analysis of the proposed algorithm is presented, and its performance under various noise environments is analyzed via simulations.

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Zhao, Yanlin, Jiansha Lu, and Wenchao Yi. "A new cellular manufacturing layout: Multi-floor linear cellular manufacturing layout." International Journal of Advanced Robotic Systems 17, no. 3 (May 1, 2020): 172988142092530. http://dx.doi.org/10.1177/1729881420925300.

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The article puts forward the new layout methodology of the multi-floor linear cellular manufacturing layout. The proposed equipment layout methodology not just breaks the conventional single-floor linear cellular manufacturing layout but also meets the layout requirements of the intelligent manufacturing workshop for the stereoscopic aisle manufacturing cell. The layout methodology takes into account the least space occupation as well as the shortest total distance of logistics as the objective function, besides considering the limitations that exist between the equipment, different planes, different levels, and so on; also, a mathematical model is put forward. The multi-floor linear cellular manufacturing layout is solved based on the self-adapting multi-objective fruit fly optimization algorithm that refers to an algorithm combining fruit fly optimization algorithm and NSGA-II. Self-adapting multi-objective fruit fly optimization algorithm makes use of the fast nondominated sorting for the multi-target food concentration calculation, together with designing the adaptive olfactory search and visual search, and employing the perturbation operations for flight strategies, aimed at ensuring the population diversity. Simulation cases suggest that self-adapting multi-objective fruit fly optimization algorithm has stronger advantages as compared with multi-objective fruit fly algorithm and elitist non-dominated sorting genetic algorithm (NSGA-II) in the solution of multi-floor linear cellular manufacturing layout problems. The final engineering case application sheds light on the fact that multi-floor linear cellular manufacturing layout saves 57.6% of the area, in addition to 23.7% of space, and 29.2% of the handling distance as compared with single-floor linear cellular manufacturing layout. Accordingly, multi-floor linear cellular manufacturing layout has a specific reference value in the layout of facilities in the intelligent manufacturing plants.

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Zhao, Chang Rong, Xiong Hua Guo, and Xiang Long Zeng. "Facility Layout of Manufacturing System and Design of Optimization Model." Advanced Materials Research 463-464 (February 2012): 1106–10. http://dx.doi.org/10.4028/www.scientific.net/amr.463-464.1106.

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In an increasingly competitive global environment, more and more engineering designers are aware of the importance of facility layout on the entire manufacturing system. With the diversification of products, the proportion of multi-species and one-piece small batch production systems increase, this study focuses on small and medium enterprises as the main target, and researches its facility layout of manufacturing system and design of optimization model. In this paper, we discuss the layout of manufacturing system according to the characteristics of small and medium enterprises, and give a framework process for the layout design. Then learning from the existing planning model, we establish an optimization model for multi-objective non-linear programming to reflect the true environment of layout. By improving the original multi-objective non-linear programming model, we make this multi-objective non-linear programming model more consistent with requirements of facility layout

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Wang, Ping, Liang Ma, and Kai Xue. "Efficient Approximation of the Labeled Multi-Bernoulli Filter for Online Multitarget Tracking." Mathematical Problems in Engineering 2017 (2017): 1–9. http://dx.doi.org/10.1155/2017/8742897.

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Online tracking time-varying number of targets is a challenging issue due to measurement noise, target birth or death, and association uncertainty, especially when target number is large. In this paper, we propose an efficient approximation of the Labeled Multi-Bernoulli (LMB) filter to perform online multitarget state estimation and track maintenance efficiently. On the basis of the original LMB filer, we propose a target posterior approximation technique to use a weighted single Gaussian component representing each individual target. Moreover, we present the Gaussian mixture implementation of the proposed efficient approximation of the LMB filter under linear, Gaussian assumptions on the target dynamic model and measurement model. Numerical results verify that our proposed efficient approximation of the LMB filer achieves accurate tracking performance and runs several times faster than the original LMB filer.

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Yu, Wen Yong, and Qu Ouyang. "A Visual Tracing Control Platform Based on Multi-Axis Linear Drive." Advanced Materials Research 311-313 (August 2011): 1462–70. http://dx.doi.org/10.4028/www.scientific.net/amr.311-313.1462.

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This paper intends to present a stable imaging platform for the visual system of autonomous robot, aiming at improving the non-optimal quality of image which is caused by tremor, vibration, slope alteration as well as rapid movement of the target during the moving process in intricate circumstances. According to the mechanism of human optical system, a bionic imaging platform driven by multi-axis linear motors is given, in which the function of swift tracing is integrated. Moreover, a better tracking effect and capacities of anti-interference can be available due to the high response of linear motor when comparing to the traditional bionic eye. This research also contributes fundamental approaches to the framework designs of the visual system of autonomous robot.

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Su, C. H., and D. Ryu. "Multi-scale analysis of bias correction of soil moisture." Hydrology and Earth System Sciences 19, no. 1 (January 6, 2015): 17–31. http://dx.doi.org/10.5194/hess-19-17-2015.

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Abstract. Remote sensing, in situ networks and models are now providing unprecedented information for environmental monitoring. To conjunctively use multi-source data nominally representing an identical variable, one must resolve biases existing between these disparate sources, and the characteristics of the biases can be non-trivial due to spatio-temporal variability of the target variable, inter-sensor differences with variable measurement supports. One such example is of soil moisture (SM) monitoring. Triple collocation (TC) based bias correction is a powerful statistical method that is increasingly being used to address this issue, but is only applicable to the linear regime, whereas the non-linear method of statistical moment matching is susceptible to unintended biases originating from measurement error. Since different physical processes that influence SM dynamics may be distinguishable by their characteristic spatio-temporal scales, we propose a multi-timescale linear bias model in the framework of a wavelet-based multi-resolution analysis (MRA). The joint MRA-TC analysis was applied to demonstrate scale-dependent biases between in situ, remotely sensed and modelled SM, the influence of various prospective bias correction schemes on these biases, and lastly to enable multi-scale bias correction and data-adaptive, non-linear de-noising via wavelet thresholding.

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Nieh, Jo-Yen, and Yuan-Pin Cheng. "Innovative Multi-Target Estimating with Clutter-Suppression Technique for Pulsed Radar Systems." Sensors 20, no. 9 (April 25, 2020): 2446. http://dx.doi.org/10.3390/s20092446.

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Linear frequency modulation (LFM) waveforms have high Doppler-shift endurance because of the relative wide modulation bandwidth to the Doppler variation. The Doppler shift of the moving objects, nevertheless, constantly introduces obscure detection range offsets despite the exceptional Doppler tolerance in detection energy loss from LFM. An up-down-chirped LFM waveform is an efficient scheme to resolve the true target location and velocity by averaging the detection offset of two detection pairs from each single chirp LFM in opposite slopes. However, in multiple velocity-vary-target scenarios, without an efficient grouping scheme to find the detection pair of each moving target, the ambiguous detection results confine the applicability of precise target estimation by using these Doppler-tolerated waveforms. A succinct, three-multi-Doppler-shift-compensation (MDSC) scheme is applied to resolve the range and velocity of two moving objects by sorting the correct LFM detection pair of each target, even though the unresolvable scenarios of two close-by targets imply a fatal disability of detecting objects under a cluttered background. An innovative clutter-suppressed multi-Doppler-shift compensation (CS-MDSC) scheme is introduced in this research to compensate for the critical insufficient of resolving two overlapping objects with different velocities by solely MDSC. The CS-MDSC has been shown to successfully overcome this ambiguous scenario by integrating Doppler-selective moving target indication (MTI) filters to mitigate the distorting of near-zero-Doppler objects.

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Ghezaiel, Wajdi, Amel Ben Slimane, and Ezzedine Ben Braiek. "On Usable Speech Detection by Linear Multi-Scale Decomposition for Speaker Identification." International Journal of Electrical and Computer Engineering (IJECE) 6, no. 6 (December 1, 2016): 2766. http://dx.doi.org/10.11591/ijece.v6i6.9844.

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Usable speech is a novel concept of processing co-channel speech data. It is proposed to extract minimally corrupted speech that is considered useful for various speech processing systems. In this paper, we are interested for co-channel speaker identification (SID). We employ a new proposed usable speech extraction method based on the pitch information obtained from linear multi-scale decomposition by discrete wavelet transform. The idea is to retain the speech segments that have only one pitch detected and remove the others. Detected Usable speech was used as input for speaker identification system. The system is evaluated on co-channel speech and results show a significant improvement across various Target to Interferer Ratio (TIR) for speaker identification system.

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Ghezaiel, Wajdi, Amel Ben Slimane, and Ezzedine Ben Braiek. "On Usable Speech Detection by Linear Multi-Scale Decomposition for Speaker Identification." International Journal of Electrical and Computer Engineering (IJECE) 6, no. 6 (December 1, 2016): 2766. http://dx.doi.org/10.11591/ijece.v6i6.pp2766-2772.

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Usable speech is a novel concept of processing co-channel speech data. It is proposed to extract minimally corrupted speech that is considered useful for various speech processing systems. In this paper, we are interested for co-channel speaker identification (SID). We employ a new proposed usable speech extraction method based on the pitch information obtained from linear multi-scale decomposition by discrete wavelet transform. The idea is to retain the speech segments that have only one pitch detected and remove the others. Detected Usable speech was used as input for speaker identification system. The system is evaluated on co-channel speech and results show a significant improvement across various Target to Interferer Ratio (TIR) for speaker identification system.

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Van den Broek, B., W. Wiegerinck, and B. Kappen. "Graphical Model Inference in Optimal Control of Stochastic Multi-Agent Systems." Journal of Artificial Intelligence Research 32 (May 16, 2008): 95–122. http://dx.doi.org/10.1613/jair.2473.

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In this article we consider the issue of optimal control in collaborative multi-agent systems with stochastic dynamics. The agents have a joint task in which they have to reach a number of target states. The dynamics of the agents contains additive control and additive noise, and the autonomous part factorizes over the agents. Full observation of the global state is assumed. The goal is to minimize the accumulated joint cost, which consists of integrated instantaneous costs and a joint end cost. The joint end cost expresses the joint task of the agents. The instantaneous costs are quadratic in the control and factorize over the agents. The optimal control is given as a weighted linear combination of single-agent to single-target controls. The single-agent to single-target controls are expressed in terms of diffusion processes. These controls, when not closed form expressions, are formulated in terms of path integrals, which are calculated approximately by Metropolis-Hastings sampling. The weights in the control are interpreted as marginals of a joint distribution over agent to target assignments. The structure of the latter is represented by a graphical model, and the marginals are obtained by graphical model inference. Exact inference of the graphical model will break down in large systems, and so approximate inference methods are needed. We use naive mean field approximation and belief propagation to approximate the optimal control in systems with linear dynamics. We compare the approximate inference methods with the exact solution, and we show that they can accurately compute the optimal control. Finally, we demonstrate the control method in multi-agent systems with nonlinear dynamics consisting of up to 80 agents that have to reach an equal number of target states.

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Han, L., Da Wei Zhang, and Liang Yu Cui. "A Novel Method for Roll Error Measurement of a Linear Worktable of a Machine Tool." Materials Science Forum 697-698 (September 2011): 301–4. http://dx.doi.org/10.4028/www.scientific.net/msf.697-698.301.

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This paper proposes a multi-step and multi-probe method to measure the roll error of a linear worktable during its movement. Two displacement sensors are used and two measurement steps are employed. Compared with two displacement sensors and a sensing target with high flatness method or a method using autocollimator, this method is in low cost and easier to be carried out. In proposed system, the slope information of roll error is obtained by sensor fusion technology. Roll error estimation algorithm is derived, and sequential-two-point method is used to sample sensors’ signal. Simulation and experimental results show the feasibility of the proposed method.

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Labutin, Alexander N., Vladimir Yu Nevinitsyn, Viktor A. Zaytsev, and Galina V. Volkova. "ROBUST CONCENTRATION CONTROL OF TARGET PRODUCT IN CHEMICAL REACTOR." IZVESTIYA VYSSHIKH UCHEBNYKH ZAVEDENIY KHIMIYA KHIMICHESKAYA TEKHNOLOGIYA 61, no. 12 (December 10, 2018): 129–36. http://dx.doi.org/10.6060/ivkkt.20186112.5914.

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A liquid-phase continuous stirred tank reactor equipped with a mechanical stirrer and cooling jacket is considered as a control object. The reactor operates in the polytropic mode. The multistep series-parallel exothermic process is carried out in the reactor. The objective of chemical reactor operation is to obtain the key product of specified concentration. The paper deals with analytical synthesis of automatic concentration control system of target product which provides invariance, covariance to the given actions, asymptotic stability and robustness under the action of uncontrollable parametric and signal disturbances. The astatic control law obtained using the synergetic control theory is proposed. Using the method of analytical design of aggregated regulators (ADAR) for a given invariant manifold, a non-linear control algorithm with an integral part was synthesized which solves the problem of stabilization of the concentration of target component on the exit of the reactor at the given value under the action of disturbances on the object. Algorithmic synthesis of the control law is carried out using a non-linear mathematical model of the object without the use of the linearization procedure. As a result of simulation it was found that the closed-loop control system has no static control error under the action of uncontrollable parametric and signal disturbances on the object, changes in the set points and initial deviation of the state variables from the static values. Consequently, the proposed non-linear concentration control algorithm has the property of robustness. The obtained results indicate the effectiveness of the ADAR method and the prospects of the synergetic control theory for solving problems of algorithmic synthesis of control systems of non-linear, multi-dimensional and multi-connected technological objects. The integration of the synthesized control law of chemical reactor at the design stage will allow implementing flexible cybernetically organized chemical-technological systems.

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Jin, Zhen Lu, Quan Pan, Chun Hui Zhao, and Wen Tian Zhou. "SVM Based Land/Sea Clutter Classification Algorithm." Applied Mechanics and Materials 236-237 (November 2012): 1156–62. http://dx.doi.org/10.4028/www.scientific.net/amm.236-237.1156.

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In this paper, a support vector machine (SVM) based land/sea clutter classification algorithm was proposed. For target location error correction based on passive beacon reference source of over-the-horizon radar (OTHR), the signal model of land/sea clutter is established, the three kinds of multi-features of land/sea clutter are analyzed, and the classification algorithm based on SVM using multi-features is detailed. Simulation experiments were carried out for different clutter-noise- ratios, and the results showed that the proposed algorithm has a higher recognition rate of land/sea clutter than algorithms based on single feature of backscatter amplitude or linear discriminant analysis. This paper could provide theoretical guidance for improving target location accuracy.

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Wang, Jun, Pengcheng Luo, Xinwu Hu, and Xiaonan Zhang. "Combining an Extended SMAA-2 Method with Integer Linear Programming for Task Assignment of Multi-UCAV under Multiple Uncertainties." Symmetry 10, no. 11 (November 2, 2018): 587. http://dx.doi.org/10.3390/sym10110587.

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Uncertainty should be taken into account when establishing multiobjective task assignment models for multiple unmanned combat aerial vehicles (UCAVs) due to errors in the target information acquired by sensors, implicit preferences of the commander for operational objectives, and partially known weights of sensors. In this paper, we extend the stochastic multicriteria acceptability analysis-2 (SMAA-2) method and combine it with integer linear programming to achieve multiobjective task assignment for multi-UCAV under multiple uncertainties. We first represent the uncertain target information as normal distribution interval numbers so that the values of criteria (operational objectives) concerned can be computed based on the weighted arithmetic averaging operator. Thus, we obtain multiple criteria value matrices for each UCAV. Then, we propose a novel aggregation method to generate the final criteria value matrix based on which the holistic acceptability indices are computed by the extended SMAA-2 method. On this basis, we convert the task assignment model with uncertain parameters into an integer linear programming model without uncertainty so as to implement task assignment using the integer linear programming method. Finally, we conduct a case study and demonstrate the feasibility of the proposed method in solving the multiobjective task assignment problem multi-UCAV under multiple uncertainties.

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Journal articles on the topic 'Linear Multi-Target'

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