Journal articles on the topic 'Mapping optimisation'

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1

Pastellides, Stavros, Stiaan Gerber, Rong-Jie Wang, and Maarten Kamper. "Evaluation of Drive Cycle-Based Traction Motor Design Strategies Using Gradient Optimisation." Energies 15, no. 3 (February 1, 2022): 1095. http://dx.doi.org/10.3390/en15031095.

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In this paper, two design optimisation methods are evaluated using gradient-based optimisation for electric vehicle traction applications. A driving cycle-based approach is used to evaluate specific operational points for the design optimisation procedure. To determine the operational points, an energy centre of gravity (ECG) approach is used. Both optimisation methods are described, namely the point based method and the flux mapping method, with a focus on the flux mapping procedure. Within the flux mapping approach, an inner optimisation loop is defined in order to maintain the stability of gradient calculation for the gradient-based optimisation. An emphasis is placed on the importance of how the optimisation problem is defined, in terms of the objective function and constraints, and how it affects a gradient based optimisation. Based on a design case study conducted in the paper, it is found that the point-based strategy realised motor designs with a slightly lower overall cost (5.66% lower than that of the flux mapping strategy with 8 ECG points), whereas the flux mapping strategy found motor designs with a lower input energy (1.48% lower than that of the point-based strategy with 8 ECG points). This may be attributed to the difference in the definition and interpretation of constraints between these two methods. It is also shown that including more operational points from the driving cycle in the design optimisation leads to designs with reduced total input energy and thus better drive-cycle energy efficiency. This paper further illustrates the significant computational advantages of a gradient-based optimisation over a global optimisation method as it can be completed within a fraction of the time while still finding a global optimum, as long as the problem definition is correctly determined.
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Pereira, Helder, Tom A. Jackson, Simon Claridge, Jonathan M. Behar, Cheng Yao, Benjamin Sieniewicz, Justin Gould, et al. "Comparison of Echocardiographic and Electrocardiographic Mapping for Cardiac Resynchronisation Therapy Optimisation." Cardiology Research and Practice 2019 (February 21, 2019): 1–9. http://dx.doi.org/10.1155/2019/4351693.

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Study hypothesis. We sought to investigate the association between echocardiographic optimisation and ventricular activation time in cardiac resynchronisation therapy (CRT) patients, obtained through the use of electrocardiographic mapping (ECM). We hypothesised that echocardiographic optimisation of the pacing delay between the atrial and ventricular leads—atrioventricular delay (AVD)—and the delay between ventricular leads—interventricular pacing interval (VVD)—would correlate with reductions in ventricular activation time. Background. Optimisation of AVD and VVD may improve CRT patient outcome. Optimal delays are currently set based on echocardiographic indices; however, acute studies have found that reductions in bulk ventricular activation time correlate with improvements in acute haemodynamic performance. Materials and methods. Twenty-one patients with established CRT criteria were recruited. After implantation, patients underwent echo-guided optimisation of the AVD and VVD. During this procedure, the participants also underwent noninvasive ECM. ECM maps were constructed for each AVD and VVD. ECM maps were analysed offline. Total ventricular activation time (TVaT) and a ventricular activation time index (VaT10-90) were calculated to identify the optimal AVD and VVD timings that gave the minimal TVaT and VaT10-90 values. We correlated cardiac output with these electrical timings. Results. Echocardiographic programming optimisation was not associated with the greatest reductions in biventricular activation time (VaT10-90 and TVaT). Instead, bulk activation times were reduced by a further 20% when optimised with ECM. A significant inverse correlation was identified between reductions in bulk ventricular activation time and improvements in LVOT VTI (p<0.001), suggesting that improved ventricular haemodynamics are a sequelae of more rapid ventricular activation. Conclusions. EAM-guided programming optimisation may achieve superior fusion of activation wave fronts leading to improvements in CRT response.
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Lu, A., G. Stenz, H. Eisenmann, and F. M. Johannes. "Technology mapping for simultaneous gate and interconnect optimisation." IEE Proceedings - Computers and Digital Techniques 146, no. 1 (1999): 21. http://dx.doi.org/10.1049/ip-cdt:19990245.

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Echeverría, D., D. Lahaye, L. Encica, and P. W. Hemker. "Optimisation in electromagnetics with the space‐mapping technique." COMPEL - The international journal for computation and mathematics in electrical and electronic engineering 24, no. 3 (September 2005): 952–66. http://dx.doi.org/10.1108/03321640510598265.

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Lei, Xu, Bin Feng, Guiping Wang, Weiyu Liu, and Yalin Yang. "A Novel FastSLAM Framework Based on 2D Lidar for Autonomous Mobile Robot." Electronics 9, no. 4 (April 24, 2020): 695. http://dx.doi.org/10.3390/electronics9040695.

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The autonomous navigation and environment exploration of mobile robots are carried out on the premise of the ability of environment sensing. Simultaneous localisation and mapping (SLAM) is the key algorithm in perceiving and mapping an environment in real time. FastSLAM has played an increasingly significant role in the SLAM problem. In order to enhance the performance of FastSLAM, a novel framework called IFastSLAM is proposed, based on particle swarm optimisation (PSO). In this framework, an adaptive resampling strategy is proposed that uses the genetic algorithm to increase the diversity of particles, and the principles of fractional differential theory and chaotic optimisation are combined into the algorithm to improve the conventional PSO approach. We observe that the fractional differential approach speeds up the iteration of the algorithm and chaotic optimisation prevents premature convergence. A new idea of a virtual particle is put forward as the global optimisation target for the improved PSO scheme. This approach is more accurate in terms of determining the optimisation target based on the geometric position of the particle, compared to an approach based on the maximum weight value of the particle. The proposed IFastSLAM method is compared with conventional FastSLAM, PSO-FastSLAM, and an adaptive generic FastSLAM algorithm (AGA-FastSLAM). The superiority of IFastSLAM is verified by simulations, experiments with a real-world dataset, and field experiments.
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Langlais, C., and M. Hélard. "Mapping optimisation for turbo-equalisation improved by iterative demapping." Electronics Letters 38, no. 22 (2002): 1365. http://dx.doi.org/10.1049/el:20020886.

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7

Panesar, Ajit, David Brackett, Ian Ashcroft, Ricky Wildman, and Richard Hague. "Hierarchical remeshing strategies with mesh mapping for topology optimisation." International Journal for Numerical Methods in Engineering 111, no. 7 (February 7, 2017): 676–700. http://dx.doi.org/10.1002/nme.5488.

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8

Miao, Yu, Alan Hunter, and Ioannis Georgilas. "Parameter Reduction and Optimisation for Point Cloud and Occupancy Mapping Algorithms." Sensors 21, no. 21 (October 22, 2021): 7004. http://dx.doi.org/10.3390/s21217004.

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Occupancy mapping is widely used to generate volumetric 3D environment models from point clouds, informing a robotic platform which parts of the environment are free and which are not. The selection of the parameters that govern the point cloud generation algorithms and mapping algorithms affects the process and the quality of the final map. Although previous studies have been reported in the literature on optimising major parameter configurations, research in the process to identify optimal parameter sets to achieve best occupancy mapping performance remains limited. The current work aims to fill this gap with a two-step principled methodology that first identifies the most significant parameters by conducting Neighbourhood Component Analysis on all parameters and then optimise those using grid search with the area under the Receiver Operating Characteristic curve. This study is conducted on 20 data sets with specially designed targets, providing precise ground truths for evaluation purposes. The methodology is tested on OctoMap with point clouds created by applying StereoSGBM on the images from a stereo camera. A clear indication can be seen that mapping parameters are more important than point cloud generation parameters. Moreover, up to 15% improvement in mapping performance can be achieved over default parameters.
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Glover, B. M. "Locally compactly Lipschitzian mappings in infinite dimensional programming." Bulletin of the Australian Mathematical Society 47, no. 3 (June 1993): 395–406. http://dx.doi.org/10.1017/s0004972700015227.

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In this note we show that a subgradient multifunction of a locally compactly Lip-schitzian mapping satisfies a closure condition used extensively in optimisation theory. In addition we derive a chain rule applicable in either separable or reflexive Banach spaces for the class of locally compactly Lipschitzian mappings using a recently derived generalised Jacobian. We apply these results to the derivation of Karush-Kuhn-Tucker and Fritz John optimality conditions for general abstract cone-constrained programming problems. A discussion of constraint qualifications is undertaken in this setting.
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Li, Taiyong, and Yihong Xu. "The Strictly Efficient Subgradient of Set-Valued Optimisation." Bulletin of the Australian Mathematical Society 75, no. 3 (June 2007): 361–71. http://dx.doi.org/10.1017/s0004972700039290.

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The subgradient, under strict efficiency, of a set-valued mapping is developed, and the existence of the subgradient is proved. Optimality conditions in terms of Lagrange multipliers for a strictly efficient point are established in the general case and in the case with ic-cone-convexlike data.
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Priess, M., and T. Slawig. "Aggressive space mapping for optimisation of a marine ecosystem model." International Journal of Mathematical Modelling and Numerical Optimisation 3, no. 1/2 (2012): 98. http://dx.doi.org/10.1504/ijmmno.2012.044732.

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Koziel, S., and J. W. Bandler. "Coarse models for efficient space mapping optimisation of microwave structures." IET Microwaves, Antennas & Propagation 4, no. 4 (2010): 453. http://dx.doi.org/10.1049/iet-map.2009.0198.

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Sedova, Ksenia, Kirill Repin, Gleb Donin, Peter Van Dam, and Josef Kautzner. "Clinical Utility of Body Surface Potential Mapping in CRT Patients." Arrhythmia & Electrophysiology Review 10, no. 2 (July 13, 2021): 113–19. http://dx.doi.org/10.15420/aer.2021.14.

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This paper reviews the current status of the knowledge on body surface potential mapping (BSPM) and ECG imaging (ECGI) methods for patient selection, left ventricular (LV) lead positioning, and optimisation of CRT programming, to indicate the major trends and future perspectives for the application of these methods in CRT patients. A systematic literature review using PubMed, Scopus, and Web of Science was conducted to evaluate the available clinical evidence regarding the usage of BSPM and ECGI methods in CRT patients. The preferred reporting items for systematic reviews and meta-analyses (PRISMA) statement was used as a basis for this review. BSPM and ECGI methods applied in CRT patients were assessed, and quantitative parameters of ventricular depolarisation delivered from BSPM and ECGI were extracted and summarised. BSPM and ECGI methods can be used in CRT in several ways, namely in predicting CRT outcome, in individualised optimisation of CRT device programming, and the guiding of LV electrode placement, however, further prospective or randomised trials are necessary to verify the utility of BSPM for routine clinical practice.
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14

Dujak, Davor, Dario Šebalj, and Karolina Kolinska. "CONCEPTUAL FRAMEWORK FOR MATERIAL AND INFORMATION FLOW OPTIMISATION IN NATURAL GAS SUPPLY CHAIN." DIEM: Dubrovnik International Economic Meeting 6, no. 1 (September 2021): 63–74. http://dx.doi.org/10.17818/diem/2021/1.7.

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Natural gas is third most used fossil fuel and energy resource in the world, with significant increase in its consumption over last 20 years. As a consequence, research in optimisation of its supply chain processes are becoming increasingly significant. This paper aims to develop conceptual framework for material and information flow optimisation in natural gas supply chain and suggests its future use. Based on previous researches on mapping natural gas supply chain, bullwhip effect in natural gas supply chain and simulation models in natural gas supply chain, paper proposes new conceptual framework for material and information flow optimisation in natural gas supply chain. Results of implementation of this framework in natural gas supply chain of Republic of Croatia are presented with all suggestions for improvement explained. Keywords: natural gas supply chain, simulation model, bullwhip effect
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15

Mohamodhosen, Bilquis Bibi Safoorah, Frederic Gillon, Mounaim Tounzi, and Loïc Chevallier. "Topology optimisation using nonlinear behaviour of ferromagnetic materials." COMPEL - The international journal for computation and mathematics in electrical and electronic engineering 37, no. 6 (November 5, 2018): 2211–23. http://dx.doi.org/10.1108/compel-12-2017-0522.

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Purpose The purpose of this paper is to propose a methodology to seek the optimal topology of electromagnetic devices using the density method while taking into account the non-linear behaviour of ferromagnetic materials. The tools and methods used are detailed and applied to a three-dimensional (3D) electromagnet for analysis and validation. Resulting topologies with and without the non-linear behaviour are investigated. Design/methodology/approach The polynomial mapping is used with the density method for material distribution in the optimisation domain. To consider the non-linear behaviour of the materials, an analytical approximation based on the Marrocco equation is used and combined with the polynomial mapping to solve the problem. Furthermore, to prevent the occurrence of intermediate materials, a weighted sum of objectives is used in the optimisation problem to eliminate these undesired materials. Findings Taking into account the non-linear materials behaviour and 3D model during topology optimisation (TO) is important, as it produces more physically feasible and coherent results. Moreover, the use of a weighted sum of objectives to eliminate intermediate materials increases the number of evaluations to reach the final solution, but it is efficient. Practical implications Considering non-linear materials behaviour yields results closer to reality, and physical feasibility of structures is more obvious in absence of intermediate materials. Originality/value This work tackles an obstacle of TO in electromagnetism which is often overlooked in literature, that is, non-linear behaviour of ferromagnetic materials by proposing a methodology.
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Li, Shaoshuai, Yichao Zhu, and Xu Guo. "Optimisation of spatially varying orthotropic porous structures based on conformal mapping." Computer Methods in Applied Mechanics and Engineering 391 (March 2022): 114589. http://dx.doi.org/10.1016/j.cma.2022.114589.

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Huang, Shoudong. "A review of optimisation strategies used in simultaneous localisation and mapping." Journal of Control and Decision 6, no. 1 (November 29, 2018): 61–74. http://dx.doi.org/10.1080/23307706.2018.1552207.

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Koziel, S., Q. S. Cheng, and J. W. Bandler. "Rapid design optimisation of microwave structures through automated tuning space mapping." IET Microwaves, Antennas & Propagation 4, no. 11 (2010): 1892. http://dx.doi.org/10.1049/iet-map.2009.0618.

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Koziel, S., J. W. Bandler, and Q. S. Cheng. "Constrained parameter extraction for microwave design optimisation using implicit space mapping." IET Microwaves, Antennas & Propagation 5, no. 10 (2011): 1156. http://dx.doi.org/10.1049/iet-map.2010.0607.

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Koziel, S., Q. S. Cheng, and J. W. Bandler. "Comparative study of space-mapping-based techniques for microwave design optimisation." IET Microwaves, Antennas & Propagation 6, no. 3 (2012): 361. http://dx.doi.org/10.1049/iet-map.2011.0335.

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21

Parkinson, S., and A. P. Longstaff. "Multi-objective optimisation of machine tool error mapping using automated planning." Expert Systems with Applications 42, no. 6 (April 2015): 3005–15. http://dx.doi.org/10.1016/j.eswa.2014.11.066.

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22

Le, Qianqi, Guowu Yang, William N. N. Hung, Xinpeng Zhang, and Fuyou Fan. "A multiobjective scatter search algorithm for fault-tolerant NoC mapping optimisation." International Journal of Electronics 101, no. 8 (June 10, 2013): 1056–73. http://dx.doi.org/10.1080/00207217.2013.805392.

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23

Hill, S. I., and A. Doucet. "A Framework for Kernel-Based Multi-Category Classification." Journal of Artificial Intelligence Research 30 (December 12, 2007): 525–64. http://dx.doi.org/10.1613/jair.2251.

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A geometric framework for understanding multi-category classification is introduced, through which many existing 'all-together' algorithms can be understood. The structure enables parsimonious optimisation, through a direct extension of the binary methodology. The focus is on Support Vector Classification, with parallels drawn to related methods. The ability of the framework to compare algorithms is illustrated by a brief discussion of Fisher consistency. Its utility in improving understanding of multi-category analysis is demonstrated through a derivation of improved generalisation bounds. It is also described how this architecture provides insights regarding how to further improve on the speed of existing multi-category classification algorithms. An initial example of how this might be achieved is developed in the formulation of a straightforward multi-category Sequential Minimal Optimisation algorithm. Proof-of-concept experimental results have shown that this, combined with the mapping of pairwise results, is comparable with benchmark optimisation speeds.
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Khurana, M., and H. Winarto. "Development and validation of an efficient direct numerical optimisation approach for aerofoil shape design." Aeronautical Journal 114, no. 1160 (October 2010): 611–28. http://dx.doi.org/10.1017/s0001924000004097.

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Abstract Intelligent shape optimisation architecture is developed, validated and applied in the design of high-altitude long endurance aerofoil (HALE). The direct numeric optimisation (DNO) approach integrating a geometrical shape parameterisation model coupled to a validated flow solver and a population based search algorithm are applied in the design process. The merit of the DNO methodology is measured by computational time efficiency and feasibility of the optimal solution. Gradient based optimisers are not suitable for multi-modal solution topologies. Thus, a novel particle swarm optimiser with adaptive mutation (AM-PSO) is developed. The effect of applying the PARSEC and a modified variant of the original function, as a shape parameterisation model on the global optimal is verified. Optimisation efficiency is addressed by mapping the solution topology for HALE aerofoil designs and by computing the sensitivity of aerofoil shape variables on the objective function. Variables with minimal influence are identified and eliminated from shape optimisation simulations. Variable elimination has a negligible effect on the aerodynamics of the global optima, with a significant reduction in design iterations to convergence. A novel data-mining technique is further applied to verify the accuracy of the AM-PSO solutions. The post-processing analysis, to swarm optimisation solutions, indicates a hybrid optimisation methodology with the integration of global and local gradient based search methods, yields a true optima. The findings are consistent for single and multi-point designs.
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Manson, Jamie A., Adam D. Clayton, Carlos Gonzalez Niño, Ricardo Labes, Thomas W. Chamberlain, A. John Blacker, Nikil Kapur, and Richard A. Bourne. "A Hybridised Optimisation of an Automated Photochemical Continuous Flow Reactor." CHIMIA International Journal for Chemistry 73, no. 10 (October 30, 2019): 817–22. http://dx.doi.org/10.2533/chimia.2019.817.

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A new hybridized algorithm that combines process optimisation with response surface mapping was developed and applied in an automated continuous flow reaction. Moreover, a photochemical cascade CSTR was developed and characterised by chemical actinometry, showing photon flux density of ten times greater than previously reported in batch. The success of the algorithm was then evaluated in the aerobic oxidation of sp3 C–H bonds using benzophenone as photosensitizer in the newly developed photo reactor.
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Arar Tahir, Kawakib, Montserrat Zamorano, and Javier Ordóñez García. "Scientific mapping of optimisation applied to microgrids integrated with renewable energy systems." International Journal of Electrical Power & Energy Systems 145 (February 2023): 108698. http://dx.doi.org/10.1016/j.ijepes.2022.108698.

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A., Saju, and H. N. Suresh. "Video-based salient object detection using hybrid optimisation strategy and contourlet mapping." International Journal of Image and Data Fusion 11, no. 2 (December 17, 2019): 162–84. http://dx.doi.org/10.1080/19479832.2019.1683625.

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Burns, Janis M., Alfred Cuschieri, and Paul A. Campbell. "Optimisation of Fixation Period on Biological Cells via Time-Lapse Elasticity Mapping." Japanese Journal of Applied Physics 45, no. 3B (March 27, 2006): 2341–44. http://dx.doi.org/10.1143/jjap.45.2341.

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Koziel, S., and J. W. Bandler. "Distributed fine model evaluation for rapid space-mapping optimisation of microwave structures." IET Microwaves, Antennas & Propagation 3, no. 5 (2009): 798. http://dx.doi.org/10.1049/iet-map.2008.0279.

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Nurdin, A., N. W. Bressloff, A. J. Keane, and C. M. E. Holden. "Shape optimisation using CAD linked free-form deformation." Aeronautical Journal 116, no. 1183 (September 2012): 915–39. http://dx.doi.org/10.1017/s0001924000007351.

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AbstractFree-form deformation (FFD) is a method first introduced within the graphics industry to enable flexible deformation of geometric models. FFD uses an R3 to R3 mapping of a deformable space to the global Cartesian space to produce the geometry deformation. This method has been extensively used within the design optimisation field as a shape parameterisation technique. Typically it has been used to parameterise analysis meshes, where new design geometries are produced by deforming the original mesh. This method allows a concise set of design variables to be used while maintaining a flexible shape representation. However, if a computer aided design (CAD) model of the resulting geometry is required, reverse engineering techniques would need to be utilised to recreate the model from the deformed mesh. This paper extends the use of FFD within an optimisation routine by using FFD to directly parameterise a CAD geometry. Two methods of linking the FFD methods with the CATIA V5 CAD package are presented. Each CAD integration technique is then critiqued with respect to shape optimisation. Finally the set-up and initialisation of a case study is illustrated. The case study chosen is the aerodynamic optimisation of the wing-fuselage junction of a typical passenger aircraft.
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ALDINUCCI, MARCO, and ANNE BENOIT. "AUTOMATIC MAPPING OF ASSIST APPLICATIONS USING PROCESS ALGEBRA." Parallel Processing Letters 18, no. 01 (March 2008): 175–88. http://dx.doi.org/10.1142/s0129626408003302.

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Grid technologies aim to harness the computational capabilities of widely distributed collections of computers. Due to the heterogeneous and dynamic nature of the set of grid resources, the programming and optimisation burden of a low level approach to grid computing is clearly unacceptable for large scale, complex applications. The development of grid applications can be simplified by using high-level programming environments. In the present work, we address the problem of the mapping of a high-level grid application onto the computational resources. In order to optimise the mapping of the application, we propose to automatically generate performance models from the application using the process algebra PEPA. We target applications written with the high-level environment ASSIST, since the use of such a structured environment allows us to automate the study of the application more effectively.
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Hamad, Ibrahim Ismael, and Mohammad S. Hasan. "A Review: On using ACO Based Hybrid Algorithms for Path Planning of Multi-Mobile Robotics." International Journal of Interactive Mobile Technologies (iJIM) 14, no. 18 (November 10, 2020): 145. http://dx.doi.org/10.3991/ijim.v14i18.16371.

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<p class="0abstract"><strong>Abstract-</strong>The path planning for Multi Mobile Robotic (MMR) system is a recent combinatorial optimisation problem. In the last decade, many researches have been published to solve this problem. Most of these researches focused on metaheuristic algorithms. This paper reviews articles on Ant Colony Optimisation (ACO) and its hybrid versions to solve the problem. The original Dorigo’s ACO algorithm uses exploration and exploitation phases to find the shortest route in a combinatorial optimisation problem in general without touching mapping, localisation and perception. Due to the properties of MMR, adaptations have been made to ACO algorithms. In this review paper, a literature survey of the recent studies on upgrading, modifications and applications of the ACO algorithms has been discussed to evaluate the application of the different versions of ACO in the MMR domain. The evaluation considered the quality, speed of convergence, robustness, scalability, flexibility of MMR and obstacle avoidance, static and dynamic environment characteristics of the tasks. <strong></strong></p>
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Nagahisa, Youji. "Necessary conditions for a mathematical programming problem with set and cone constraints." Journal of the Australian Mathematical Society. Series B. Applied Mathematics 29, no. 3 (January 1988): 310–21. http://dx.doi.org/10.1017/s033427000000583x.

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AbstractThis paper is devoted to the derivation of a necessary condition of F. John type which must be satisfied by a solution of a mathematical programming problem with set and cone constraints. The necessary condition is applied to an optimisation problem defined on functional spaces with inequality state constraints. Furthermore a pseudo open mapping theorem is developed in the course of proving the main theorem.
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Schmidtke, D., U. Heiser, and O. Hinrichsen. "A simulation-enhanced value stream mapping approach for optimisation of complex production environments." International Journal of Production Research 52, no. 20 (May 16, 2014): 6146–60. http://dx.doi.org/10.1080/00207543.2014.917770.

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Zhu, Zongwei, Xi Li, Chao Wang, and Xuehai Zhou. "Memory power optimisation on low-bit multi-access cross memory address mapping schema." International Journal of Embedded Systems 6, no. 2/3 (2014): 240. http://dx.doi.org/10.1504/ijes.2014.063822.

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Koziel, S. "Derivative-free microwave design optimisation using shape-preserving response prediction and space mapping." IET Science, Measurement & Technology 6, no. 1 (2012): 13. http://dx.doi.org/10.1049/iet-smt.2011.0067.

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Pereira, Helder, Tom A. Jackson, Simon Claridge, Jonathan M. Behar, Cheng Yao, Benjamin Sieniewicz, Justin Gould, et al. "Erratum to “Comparison of Echocardiographic and Electrocardiographic Mapping for Cardiac Resynchronisation Therapy Optimisation”." Cardiology Research and Practice 2019 (August 28, 2019): 1–2. http://dx.doi.org/10.1155/2019/3849547.

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Xu, Juan, Jun Jian Bi, Zhao Long Li, and Ru shan Chen. "Optimisation of SIW bandpass filter with wide and sharp stopband using space mapping." International Journal of Electronics 103, no. 12 (May 2, 2016): 2042–51. http://dx.doi.org/10.1080/00207217.2016.1178338.

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Xiaodong, Weng, Liu Yi, and Yang Yintang. "Network-on-chip heuristic mapping algorithm based on isomorphism elimination for NoC optimisation." IET Computers & Digital Techniques 14, no. 6 (November 1, 2020): 272–80. http://dx.doi.org/10.1049/iet-cdt.2019.0212.

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Mirahki, Hooshang, Mehdi Moallem, Mohammad Ebrahimi, and Babak Fahimi. "Combined ON/OFF and conformal mapping method for magnet shape optimisation of SPMSM." IET Electric Power Applications 12, no. 9 (August 30, 2018): 1365–70. http://dx.doi.org/10.1049/iet-epa.2018.5166.

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Wu, Xinzhao, Peiqing Li, Qipeng Li, and Zhuoran Li. "Two-dimensional-simultaneous Localisation and Mapping Study Based on Factor Graph Elimination Optimisation." Sustainability 15, no. 2 (January 8, 2023): 1172. http://dx.doi.org/10.3390/su15021172.

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A robust multi-sensor fusion simultaneous localization and mapping (SLAM) algorithm for complex road surfaces is proposed to improve recognition accuracy and reduce system memory occupation, aiming to enhance the computational efficiency of light detection and ranging in complex environments. First, a weighted signed distance function (W-SDF) map-based SLAM method is proposed. It uses a W-SDF map to capture the environment with less accuracy than the raster size but with high localization accuracy. The Levenberg–Marquardt method is used to solve the scan-matching problem in laser SLAM; it effectively alleviates the limitations of the Gaussian–Newton method that may lead to insufficient local accuracy, and reduces localisation errors. Second, ground constraint factors are added to the factor graph, and a multi-sensor fusion localisation algorithm is proposed based on factor graph elimination optimisation. A sliding window is added to the chain factor graph model to retain the historical state information within the window and avoid high-dimensional matrix operations. An elimination algorithm is introduced to transform the factor graph into a Bayesian network to marginalize the historical states and reduce the matrix dimensionality, thereby improving the algorithm localisation accuracy and reducing the memory occupation. Finally, the proposed algorithm is compared and validated with two traditional algorithms based on an unmanned cart. Experiments show that the proposed algorithm reduces memory consumption and improves localisation accuracy compared to the Hector algorithm and Cartographer algorithm, has good performance in terms of accuracy, reliability and computational efficiency in complex pavement environments, and is better utilised in practical environments.
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42

Rhodes, Chris, Richard Allmendinger, and Ricardo Climent. "New Interfaces and Approaches to Machine Learning When Classifying Gestures within Music." Entropy 22, no. 12 (December 7, 2020): 1384. http://dx.doi.org/10.3390/e22121384.

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Interactive music uses wearable sensors (i.e., gestural interfaces—GIs) and biometric datasets to reinvent traditional human–computer interaction and enhance music composition. In recent years, machine learning (ML) has been important for the artform. This is because ML helps process complex biometric datasets from GIs when predicting musical actions (termed performance gestures). ML allows musicians to create novel interactions with digital media. Wekinator is a popular ML software amongst artists, allowing users to train models through demonstration. It is built on the Waikato Environment for Knowledge Analysis (WEKA) framework, which is used to build supervised predictive models. Previous research has used biometric data from GIs to train specific ML models. However, previous research does not inform optimum ML model choice, within music, or compare model performance. Wekinator offers several ML models. Thus, we used Wekinator and the Myo armband GI and study three performance gestures for piano practice to solve this problem. Using these, we trained all models in Wekinator and investigated their accuracy, how gesture representation affects model accuracy and if optimisation can arise. Results show that neural networks are the strongest continuous classifiers, mapping behaviour differs amongst continuous models, optimisation can occur and gesture representation disparately affects model mapping behaviour; impacting music practice.
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Koutalas, Emmanuel, Sascha Rolf, Borislav Dinov, Sergio Richter, Arash Arya, Andreas Bollmann, Gerhard Hindricks, and Philipp Sommer. "Contemporary Mapping Techniques of Complex Cardiac Arrhythmias — Identifying and Modifying the Arrhythmogenic Substrate." Arrhythmia & Electrophysiology Review 4, no. 1 (2015): 19. http://dx.doi.org/10.15420/aer.2015.4.1.19.

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Cardiac electrophysiology has moved a long way forward during recent decades in the comprehension and treatment of complex cardiac arrhythmias. Contemporary electroanatomical mapping systems, along with state-of-the-art technology in the manufacture of electrophysiology catheters and cardiac imaging modalities, have significantly enriched our armamentarium, enabling the implementation of various mapping strategies and techniques in electrophysiology procedures. Beyond conventional mapping strategies, ablation of complex fractionated electrograms and rotor ablation in atrial fibrillation ablation procedures, the identification and modification of the underlying arrhythmogenic substrate has emerged as a strategy that leads to improved outcomes. Arrhythmogenic substrate modification also has a major role in ventricular tachycardia ablation procedures. Optimisation of contact between tissue and catheter and image integration are a further step forward to augment our precision and effectiveness. Hybridisation of existing technologies with a reasonable cost should be our goal over the next few years.
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Jean-Paul, Albenque, Arnaud Chaumeil, Stephane Combes, David Senouf, Luis Martins, Antoine Deplagne, Nicolas Combes, and Serge Boveda. "Atrial Fibrillation Electroanatomical 3D Mapping Optimisation Thanks to a Novel High-density Mapping Catheter – The Inquiry™ AFocus™ II." European Cardiology Review 6, no. 3 (2010): 63. http://dx.doi.org/10.15420/ecr.2010.6.3.63.

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The OneMap™ tool, a new software feature of the EnSite Velocity™ System, and the new Inquiry™ AFocus™ II double loop duodecapolar diagnostic catheter (DDC) were created to provide faster data collection to efficiently deal with complex arrhythmias such as persistent atrial fibrillation ablation (AF). Our study was performed to compare acquisition criteria, time needed to create the maps, number of collected points, relevance of complex fractionated atrial electrogram (CFE) mapping and correlation between CFE maps with the new DDC and a 4mm irrigated ablation catheter (ABL), Therapy™ Cool Path™ Duo, using the OneMap tool. Ten patients undergoing persistent AF ablation were enrolled. With the DDC, more points were collected (485±173 versus 183±37) and the time needed to create CFE maps was shorter (12±4 versus 24±2 minutes). There were 39 zones detected with the DDC against 35 with the ABL. The correlation between the maps was 80%; however, four additional regions were detected with the DDC (an 11% increase). In conclusion, the Inquiry AFocus II DDC is a feasible, fast and accurate tool for automatic CFE mapping using OneMap.
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45

Brindza, Ján, Pavol Kajánek, and Ján Erdélyi. "Lidar-Based Mobile Mapping System for an Indoor Environment." Slovak Journal of Civil Engineering 30, no. 2 (June 1, 2022): 47–58. http://dx.doi.org/10.2478/sjce-2022-0014.

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Abstract The article deals with developing and testing a low-cost measuring system for simultaneous localisation and mapping (SLAM) in an indoor environment. The measuring system consists of three orthogonally-placed 2D lidars, a robotic platform with two wheel speed sensors, and an inertial measuring unit (IMU). The paper describes the data processing model used for both the estimation of the trajectory of SLAM and the creation of a 3D model of the environment based on the estimated trajectory of the SLAM. The main problem of SLAM usage is the accumulation of errors caused by the imperfect transformation of two scans into each other. The data processing developed includes an automatic evaluation and correction of the slope of the lidar. Furthermore, during the calculation of the trajectory, a repeatedly traversed area is identified (loop closure), which enables the optimisation of the trajectory determined. The system was tested in the indoor environment of the Faculty of Civil Engineering of the Slovak University of Technology in Bratislava.
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46

MacRae, Colin, Nick Wilson, and Mark Pownceby. "Electron Microprobe Mapping as a Tool in Ilmenite Characterisation." Microscopy and Microanalysis 7, S2 (August 2001): 710–11. http://dx.doi.org/10.1017/s1431927600029627.

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The demand for accurate mineralogical data is increasing rapidly as exploration methods, prospect evaluation procedures and metallurgical optimisation studies become more sophisticated. in response to these needs, semi-automated and automated image processing systems which detect minerals using optical microscopy, scanning electron microscopy or electron microprobe microanalysis (EPMA) are becoming increasingly important tools in the exploration, mining and mineral processing industries. CSIRO Minerals has developed an EPMA based imaging (or mapping) method for characterising ilmenite concentrates. The method uses a JEOL 8900R EPMA to collect elemental x-ray maps which are then processed using in-house developed software, Chimage. The mapping procedure differs from traditional automated identification systems in that no detailed a priori knowledge of the mineral phases is required. in addition, Chimage software enables complete processing and interpretation of the data set off-line. Elemental data can be displayed in either scatter or ternary diagrams showing clusters which allow mineral phases to be identified.
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Georgiou, Aris, George Haritos, Moyra Fowler, and Yasmin Imani. "Attribute and technology value mapping for conceptual product design phase." Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science 230, no. 11 (May 6, 2015): 1745–56. http://dx.doi.org/10.1177/0954406215585595.

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The main focus of this paper is how the concept design phase of the product development process can be improved by using an objective data-driven approach in selecting a final concept design to progress further. A quantitative new test-bed ‘Product Optimisation Value Engineering’ (PROVEN) is presented to critically assess new and evolving powertrain technologies at the concept design phase. The new test-bed has the ability to define a technology value map to assess multiple technical options as a function of its attributes, whose precise values can be determined at a given cost. A mathematical model that incorporates a highly adaptable, data-driven and multi-attribute value approach to product specification and conceptual design is developed, novel to the concept design process. This creates a substantially optimised product offering to the market, reducing overall development costs while achieving customer satisfaction.
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48

Franz, T. "Costs and optimisation options for monitoring of indirect dischargers." Water Practice and Technology 17, no. 1 (December 2, 2021): 311–17. http://dx.doi.org/10.2166/wpt.2021.119.

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Abstract Monitoring of indirect and industrial dischargers, respectively, makes an important contribution to the safe and environmentally sound operation of wastewater systems. As a result of local framework conditions, there is a wide range of monitoring practices across Germany. In a benchmarking project, ten sewerage operators and monitoring bodies representing large German cities have collected data on their work and discussed their practices. The results show that the extent of monitoring is between 244 and 1,457 monitoring points per sewer network (given as 15th and 85th percentile). The median value of the specific expense is 689 EUR per monitoring point and year. In relation to the total wastewater fee volume, the median expense is 0.71%. The sub-process ‘sampling’ was examined more closely. By means of detailed process mapping and regression analyses, it can be shown that on-site activities and tours have the largest share of working time (total of 72%) and thus the greatest leverage in optimisation measures. Various examples are given.
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Aziz, Zeeshan, Rana Muhammad Qasim, and Sahawneh Wajdi. "Improving productivity of road surfacing operations using value stream mapping and discrete event simulation." Construction Innovation 17, no. 3 (July 10, 2017): 294–323. http://dx.doi.org/10.1108/ci-11-2016-0058.

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Purpose The purpose of this paper is to investigate the integration of discrete event simulation (DES) and value stream mapping (VSM) to enhance the productivity of road surfacing operations by achieving high production rates and minimum road closure times. Highway infrastructure is one of the most valuable assets owned by the public sector. The success of national and local economies as well as quality of life of the general public depend on the efficient operations of highways. Ensuring smooth traffic operations requires maintenance and improvements of the highest standard. Design/methodology/approach Research approach involved the use of primary data collected from direct observation, interviews, review of archival records and productivity databases. Based on this, process maps and value stream maps were developed which were subsequently used to produce discrete event simulation models for the exploration of different optimisation scenarios. Findings This research highlights the synergistic relationship between VSM and DES in driving innovation in construction processes. Identified factors that affect roadworks process productivity include machine, manpower, material, information, environment and method-related factors. A DES model is presented to optimise the process and increase the production rates. A hybrid DES-VSM approach ensures an integrated approach to process optimisation. Research limitations/implications This study is an application of hybrid version of previously published DES-VSM framework in the manufacturing sector. The present study has extended and tested its applicability within road surfacing operations. The different what-if scenarios presented in this paper might not be applicable to other parts of the world owing to various constraints. The study has focused on addressing the waste production inherent in pavement laying process. Even though external variables could possibly influence pavement process, those were ignored to allow for in-depth focus on the process under consideration. Practical implications Road users are one of the most important stakeholders that will benefit from the positive implications of this study. Private resurfacing companies and transport departments can optimise their overall process and style of working by comparing their end-to-end process and work plans with the ones mentioned in this paper. It will boost the productivity of equipment like planners, pavers and other machines used for resurfacing operations. Originality/value Existing approaches to process modelling such as VSM and process diagrams are constrained by their effectiveness in the analysis of dynamic and complex processes. This study presents a DES-based approach to validate targeted improvements of the current state of road surfacing processes and in exploration of different optimisation scenarios.
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Broersma, Siebe, Michiel Fremouw, and Andy Dobbelsteen. "Energy Potential Mapping: Visualising Energy Characteristics for the Exergetic Optimisation of the Built Environment." Entropy 15, no. 2 (January 28, 2013): 490–506. http://dx.doi.org/10.3390/e15020490.

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