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Journal articles on the topic 'E-optimal Design'

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Author: Grafiati
Published: 8 September 2023

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1

Morgan, J. P., and Brian Reck. "E-optimal design in irregular BIBD settings." Journal of Statistical Planning and Inference 137, no. 5 (May 2007): 1658–68. http://dx.doi.org/10.1016/j.jspi.2006.09.015.

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2

Evzelman, Michael, and Mor Mordechai Peretz. "Optimal design of a class‐E resonant driver." IET Power Electronics 8, no. 8 (August 2015): 1552–57. http://dx.doi.org/10.1049/iet-pel.2014.0397.

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3

Youwei Wang, Dingwei Wang, and W. H. Ip. "Optimal design of link structure for e-supermarket website." IEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humans 36, no. 2 (March 2006): 338–55. http://dx.doi.org/10.1109/tsmca.2005.851336.

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4

Olamide, Emmanuel I., Olusoga A. Fasoranbaku, and Femi B. Adebola. "E-optimal Experimental Designs for Poisson Regression Models in Two and Three Variables." Tanzania Journal of Science 47, no. 3 (August 13, 2021): 999–1006. http://dx.doi.org/10.4314/tjs.v47i3.11.

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In the context of generalized linear models, most of the recent studies were on logistic regression models and many of them focussed on optimal experimental designs with concentration on D-optimality. In this research, two- and three-variable Poisson regression models were considered for E-optimization on restricted design space [0, 1]. The two-variable Poisson regression model was not optimal at 3-design points, but was found to be E-optimal at 4-design points (1, 1), (0, 0), (0, 1) and (1, 0) with equal design weights of 0.25. The three-variable Poisson regression model was E-optimal at 4-design points (0, 0, 1), (0, 1, 0), (1, 1, 1) and (1, 0, 0) with each design point having design weights of 0.25. The prediction error variance (PEV) for the two-variable Poisson regression model is 0.35 and that of the three-variable Poisson regression model is 0.68. From this research, the two-variable Poisson regression model is preferred to the three-variable Poisson regression model because of smaller PEV. Keywords: E-optimality; Fisher Information Matrix; Poisson Regression Model; Prediction Error Variance
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5

Melas, Vyacheslav B., and Petr V. Shpilev. "Study of the excess property of the L-optimal design for the Laible model." Vestnik of Saint Petersburg University. Mathematics. Mechanics. Astronomy 9, no. 3 (2022): 495–505. http://dx.doi.org/10.21638/spbu01.2022.310.

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For a rational two-dimensional nonlinear in parameters Laible model used in analytical chemistry, the problem of constructing L-optimal designs is investigated. It is shown that there are two types of optimal designs for this model: saturated (i. e., designs with the number of support points equal to the number of model parameters) and excess (i. e., designs with the number of support points greater than the number of model parameters) and that with some homothetic transformations of the design space, locally L-optimal designs can change the type from saturated to excess and vice versa. An analytical solution to the problem of finding the dependence between the number of the optimal design support points and the values of the model parameters based on the application of a functional approach is proposed. The L-efficiency of D-optimal designs is investigated.
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Thannippara, Alex, Sreejith V, S. C. Bagui, and D. K. Ghosh. "A New Method of Construction of E-optimal Generalized Group Divisible Designs (GGDD)." Journal of Scientific Research 1, no. 1 (December 14, 2008): 38–42. http://dx.doi.org/10.3329/jsr.v1i1.1697.

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In this article, we develop a new method of construction of E-optimal generalized group divisible designs through group testing designs. Keywords: Balanced Incomplete Block Design (BIBD); Group Divisible (GD); Generalized Group Divisible Design (GDD); E-optimality. © 2009 JSR Publications. ISSN: 2070-0237 (Print); 2070-0245 (Online). All rights reserved. DOI: 10.3329/jsr.v1i1.1697
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Sahu, Nitesh, and Prabhu Babu. "A new monotonic algorithm for the E-optimal experiment design problem." Statistics & Probability Letters 174 (July 2021): 109097. http://dx.doi.org/10.1016/j.spl.2021.109097.

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8

Wang, Xiaofeng, Kejing Zhang, and Bao'an Yang. "Optimal design of reverse logistics network on e-waste in Shanghai." International Journal of Networking and Virtual Organisations 8, no. 3/4 (2011): 209. http://dx.doi.org/10.1504/ijnvo.2011.039995.

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9

Liu, Mei Ying, Rui Yang, and Xiu Wen Chu. "The Optimal Design of Vertical Hammer Mill Based on Pro/E." Advanced Materials Research 502 (April 2012): 407–11. http://dx.doi.org/10.4028/www.scientific.net/amr.502.407.

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Vertical hammer mill is widely used in food and feed processing factory. It contains the rotor, sieve plate, machine body, feeding device, discharge device, diver device and etc. Traditional design method used two-dimensional drawings to express three-dimensional information of parts, which was abstract and difficult to be modified. This research utilized 3D software Pro/E to carry out three-dimensional designing, modeling, virtual assemble and motion simulation, and used structural mechanics analysis module Pro/Mechanical to carry out finite element analysis of key parts to optimize design of vertical hammer mill. In the designing process designer can easily modify the parameters, and directly observe the shape, location and movement of parts, which can greatly improve the design efficiency and level.
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10

Kendir, G. A., Wentai Liu, Guoxing Wang, M. Sivaprakasam, R. Bashirullah, M. S. Humayun, and J. D. Weiland. "An optimal design methodology for inductive power link with class-E amplifier." IEEE Transactions on Circuits and Systems I: Regular Papers 52, no. 5 (May 2005): 857–66. http://dx.doi.org/10.1109/tcsi.2005.846208.

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11

Quarta, Alessandro A., and Giovanni Mengali. "E-Sail Optimal Trajectories to Heliostationary Points." Aerospace 10, no. 2 (February 17, 2023): 194. http://dx.doi.org/10.3390/aerospace10020194.

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The aim of this paper is to investigate the performance of a robotic spacecraft, whose primary propulsion system is an electric solar wind sail (E-sail), in a mission to a heliostationary point (HP)—that is, a static equilibrium point in a heliocentric and inertial reference frame. A spacecraft placed at a given HP with zero inertial velocity maintains that heliocentric position provided the on-board thrust is able to counterbalance the Sun’s gravitational force. Due to the finite amount of storable propellant mass, a prolonged mission toward an HP may be considered as a typical application of a propellantless propulsion system. In this respect, previous research has been concentrated on the capability of high-performance (photonic) solar sails to reach and maintain such a static equilibrium condition. However, in the case of a solar-sail-based spacecraft, an HP mission requires a sail design with propulsive characteristics that are well beyond the capability of current or near-future technology. This paper shows that a medium-performance E-sail is able to offer a viable alternative to the use of photonic solar sails. To that end, we discuss a typical HP mission from an optimal viewpoint, by looking for the minimum time trajectory necessary for a spacecraft to reach a given HP. In particular, both two- and three-dimensional scenarios are considered, and the time-optimal mission performance is analyzed parametrically as a function of the HP heliocentric position. The paper also illustrates a potential mission application involving the observation of the Sun’s poles from such a static inertial position.
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12

Li, Xiao, Hanchen Xu, Jinming Zhang, and Hua-hua Chang. "Optimal Hierarchical Learning Path Design With Reinforcement Learning." Applied Psychological Measurement 45, no. 1 (August 22, 2020): 54–70. http://dx.doi.org/10.1177/0146621620947171.

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E-learning systems are capable of providing more adaptive and efficient learning experiences for learners than traditional classroom settings. A key component of such systems is the learning policy. The learning policy is an algorithm that designs the learning paths or rather it selects learning materials for learners based on information such as the learners’ current progresses and skills, learning material contents. In this article, the authors address the problem of finding the optimal learning policy. To this end, a model for learners’ hierarchical skills in the E-learning system is first developed. Based on the hierarchical skill model and the classical cognitive diagnosis model, a framework to model various mastery levels related to hierarchical skills is further developed. The optimal learning path in consideration of the hierarchical structure of skills is found by applying a model-free reinforcement learning method, which does not require any assumption about learners’ learning transition processes. The effectiveness of the proposed framework is demonstrated via simulation studies.
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13

Singh, Mohit, and Weijun Xie. "Approximation Algorithms for D-optimal Design." Mathematics of Operations Research 45, no. 4 (November 2020): 1512–34. http://dx.doi.org/10.1287/moor.2019.1041.

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Experimental design is a classical statistics problem, and its aim is to estimate an unknown vector from linear measurements where a Gaussian noise is introduced in each measurement. For the combinatorial experimental design problem, the goal is to pick a subset of experiments so as to make the most accurate estimate of the unknown parameters. In this paper, we will study one of the most robust measures of error estimation—the D-optimality criterion, which corresponds to minimizing the volume of the confidence ellipsoid for the estimation error. The problem gives rise to two natural variants depending on whether repetitions of experiments are allowed or not. We first propose an approximation algorithm with a 1/e-approximation for the D-optimal design problem with and without repetitions, giving the first constant-factor approximation for the problem. We then analyze another sampling approximation algorithm and prove that it is asymptotically optimal. Finally, for D-optimal design with repetitions, we study a different algorithm proposed by the literature and show that it can improve this asymptotic approximation ratio. All the sampling algorithms studied in this paper are shown to admit polynomial-time deterministic implementations.
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14

Harman, Radoslav, and Samuel Rosa. "Removal of the points that do not support an E-optimal experimental design." Statistics & Probability Letters 147 (April 2019): 83–89. http://dx.doi.org/10.1016/j.spl.2018.12.005.

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15

Telen, Dries, Nick Van Riet, Flip Logist, and Jan Van Impe. "A differentiable reformulation for E-optimal design of experiments in nonlinear dynamic biosystems." Mathematical Biosciences 264 (June 2015): 1–7. http://dx.doi.org/10.1016/j.mbs.2015.02.006.

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16

Anil, Vijay Sankar, Tong Zhao, Mingjie Zhao, Manfredi Villani, Qadeer Ahmed, and Giorgio Rizzoni. "Powertrain Design Optimization for a Range-Extended Electric Pickup and Delivery Truck." SAE International Journal of Commercial Vehicles 13, no. 1 (October 2, 2020): 189–203. http://dx.doi.org/10.4271/02-13-03-0014.

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The ongoing electrification and data-intelligence trends in logistics industries enable efficient powertrain design and operation. In this work, the commercial package delivery vehicle powertrain design space is revisited with a specific combination of optimization and control techniques that promise accurate results with relatively fast computational time. The specific application that is explored here is a Class 6 pickup and delivery truck. A statistical learning approach is used to refine the search for the most optimal designs. Five hybrid powertrain architectures, namely, two-speed e-axle, three-speed and four-speed automatic transmission (AT) with electric motor (EM), direct-drive, and dual-motor options are explored, and a set of Pareto-optimal designs are found for a specific driving mission that represents the variations in a hypothetical operational scenario. The modeling and optimization processes are performed on the MATLAB™-Simulink platform. A cross-architecture performance and cost comparison is performed, which shows that two-speed e-axle is the optimal architecture for the selected application.
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17

Chen, Chun, Zhengguang Chen, Jiajun Bu, Can Wang, Lijun Zhang, and Cheng Zhang. "G-Optimal Design with Laplacian Regularization." Proceedings of the AAAI Conference on Artificial Intelligence 24, no. 1 (July 3, 2010): 413–18. http://dx.doi.org/10.1609/aaai.v24i1.7672.

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In many real world applications, labeled data are usually expensive to get, while there may be a large amount of unlabeled data. To reduce the labeling cost, active learning attempts to discover the most informative data points for labeling. Recently, Optimal Experimental Design (OED) techniques have attracted an increasing amount of attention. OED is concerned with the design of experiments that minimizes variances of a parameterized model. Typical design criteria include D-, A-, and E-optimality. However, all these criteria are based on an ordinary linear regression model which aims to minimize the empirical error whereas the geometrical structure of the data space is not well respected. In this paper, we propose a novel optimal experimental design approach for active learning, called Laplacian G-Optimal Design (LapGOD), which considers both discriminating and geometrical structures. By using Laplacian Regularized Least Squares which incorporates manifold regularization into linear regression, our proposed algorithm selects those data points that minimizes the maximum variance of the predicted values on the data manifold. We also extend our algorithm to nonlinear case by using kernel trick. The experimental results on various image databases have shown that our proposed LapGOD active learning algorithm can significantly enhance the classification accuracy if the selected data points are used as training data.
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18

Melas, Vyacheslav B., and Petr V. Shpilev. "L-optimal designs for a trigonometric Fourier regression model with no intercept." Vestnik of Saint Petersburg University. Mathematics. Mechanics. Astronomy 9, no. 1 (2022): 64–75. http://dx.doi.org/10.21638/spbu01.2022.107.

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This paper is devoted to the problem of constructing L-optimal designs for a trigonometric Fourier regression model with no intercept. The paper considers diagonal matrices L with a combination of zeros and ones on the main diagonal. It is shown that in the case when L = I (i. e., when the unit matrix is chosen as the matrix L), the L-optimal design coincides with the D-optimal one. In the more general case (when some diagonal elements are equal to zero), it is shown that the dimension of the problem can be reduced if the optimal design is symmetric. The obtained results are illustrated by the example of the problem of constructing two L-optimal designs for the trigonometric model of order 12, which is reduced to the problem of constructing designs for models of order 3 and 4 correspondingly.
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19

Cholette, Susan, Andrew G. Clark, and Özgür Özlük. "Increasing procurement efficiency through optimal e-commerce enablement scheduling." Journal of Public Procurement 19, no. 2 (June 3, 2019): 90–107. http://dx.doi.org/10.1108/jopp-06-2019-027.

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Purpose This study aims to show how cost savings can be achieved through optimizing the scheduling of e-commerce enablements. The University of California is one of the largest, most prestigious public education and research systems in the world, yet diminished state support is driving the search for system-wide cost savings. Design/methodology/approach This study documents the preparation for and rollout of an e-procurement system across a subset of campuses. A math programing tool was developed for prioritizing the gradual rollout to generate the greatest expected savings subject to resource constraints. Findings The authors conclude by summarizing the results of the rollout, discussing lessons learned and their benefit to decision-makers at other public institutions. Originality/value The pilot program comprising three campuses has been predicted to yield $1.2m in savings over a one-year period; additional sensitivity analysis with respect to savings, project timelines and other rollout decisions illustrate the robustness of these findings.
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20

Peubez, Isabelle, Nicolas Chaudet, Charlotte Mignon, Géraldine Hild, Stéphanie Husson, Virginie Courtois, Karelle De Luca, Denis Speck, and Régis Sodoyer. "Antibiotic-free selection in E. coli: new considerations for optimal design and improved production." Microbial Cell Factories 9, no. 1 (2010): 65. http://dx.doi.org/10.1186/1475-2859-9-65.

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21

Gau, Chung-Yun, and Souran Manoochehri. "Optimal Design of a Nonhomogeneous Annular Disk Under Pressure Loadings." Journal of Mechanical Design 116, no. 4 (December 1, 1994): 989–96. http://dx.doi.org/10.1115/1.2919509.

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A method for the design of nonhomogeneous, variable-thickness, annular disks under internal and external pressures satisfying Tresca yield criterion is presented in this paper. The effects of varying the disk thickness and stiffness properties to achieve a fully stressed design are investigated. Analytical solutions for distributions of Young’s modulus and disk thickness variations have been developed for the case of fully stressed designs. Examples are given for three different cases, namely, constant thickness with variable Young’s modulus, variable thickness with constant Young’s modulus, and variable thickness with variable Young’s modulus. In the last case, due to the existence of many alternative solutions, optimal design techniques have been utilized. Application of the developed methodology for optimal designs of short fiber composites with random fiber orientations is discussed. The optimization results of fiber volume fraction distributions and thickness variations for a disk made of nylon 66 matrix with E glass fiber are given under specified pressure loadings.
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22

Duarte, Belmiro P. M., Anthony C. Atkinson, José F. O. Granjo, and Nuno M. C. Oliveira. "Optimal Design of Experiments for Liquid–Liquid Equilibria Characterization via Semidefinite Programming." Processes 7, no. 11 (November 8, 2019): 834. http://dx.doi.org/10.3390/pr7110834.

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Liquid–liquid equilibria (LLE) characterization is a task requiring considerable work and appreciable financial resources. Notable savings in time and effort can be achieved when the experimental plans use the methods of the optimal design of experiments that maximize the information obtained. To achieve this goal, a systematic optimization formulation based on Semidefinite Programming is proposed for finding optimal experimental designs for LLE studies carried out at constant pressure and temperature. The non-random two-liquid (NRTL) model is employed to represent species equilibria in both phases. This model, combined with mass balance relationships, provides a means of computing the sensitivities of the measurements to the parameters. To design the experiment, these sensitivities are calculated for a grid of candidate experiments in which initial mixture compositions are varied. The optimal design is found by maximizing criteria based on the Fisher Information Matrix (FIM). Three optimality criteria (D-, A- and E-optimal) are exemplified. The approach is demonstrated for two ternary systems where different sets of parameters are to be estimated.
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23

M, RAMAR, and SAKTHI SUBA RAJA S. "SELECTION OF OPTIMAL DESIGN PARAMETERS FOR EPOXY/E-GLASS COMPOSITE USING TAGUCHI BASED GREY THEORY." International Journal on Design and Manufacturing Technologies 10, no. 1 (2016): 15–19. http://dx.doi.org/10.18000/ijodam.70158.

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24

Solard, Jeanne, Mahmoud Chakaroun, and Azzedine Boudrioua. "Optimal design and fabrication of ITO photonic crystal using e-beam patterned hydrogen silsesquioxane resist." Journal of Vacuum Science & Technology B 38, no. 2 (March 2020): 022802. http://dx.doi.org/10.1116/1.5142533.

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25

Leonov, Sergei, and Sam Miller. "An Adaptive Optimal Design for the E max Model and Its Application in Clinical Trials." Journal of Biopharmaceutical Statistics 19, no. 2 (February 12, 2009): 360–85. http://dx.doi.org/10.1080/10543400802677240.

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26

Zhao, Haisen, Max Willsey, Amy Zhu, Chandrakana Nandi, Zachary Tatlock, Justin Solomon, and Adriana Schulz. "Co-Optimization of Design and Fabrication Plans for Carpentry." ACM Transactions on Graphics 41, no. 3 (June 30, 2022): 1–13. http://dx.doi.org/10.1145/3508499.

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Past work on optimizing fabrication plans given a carpentry design can provide Pareto-optimal plans trading off between material waste, fabrication time, precision, and other considerations. However, when developing fabrication plans, experts rarely restrict to a single design , instead considering families of design variations , sometimes adjusting designs to simplify fabrication. Jointly exploring the design and fabrication plan spaces for each design is intractable using current techniques. We present a new approach to jointly optimize design and fabrication plans for carpentered objects. To make this bi-level optimization tractable, we adapt recent work from program synthesis based on equality graphs (e-graphs), which encode sets of equivalent programs. Our insight is that subproblems within our bi-level problem share significant substructures. By representing both designs and fabrication plans in a new bag of parts (BOP) e-graph, we amortize the cost of optimizing design components shared among multiple candidates. Even using BOP e-graphs, the optimization space grows quickly in practice. Hence, we also show how a feedback-guided search strategy dubbed Iterative Contraction and Expansion on E-graphs (ICEE) can keep the size of the e-graph manageable and direct the search towards promising candidates. We illustrate the advantages of our pipeline through examples from the carpentry domain.
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27

Ma, Shang Jun, Geng Liu, Jian Xing Zhou, and Rui Ting Tong. "Optimal Design and Contact Analysis for Planetary Roller Screw." Applied Mechanics and Materials 86 (August 2011): 361–64. http://dx.doi.org/10.4028/www.scientific.net/amm.86.361.

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Based on the meshing principle of Planetary Roller Screw (PRS), the meshing clearance of screw pair is minimized by taking the half of thread angle, and the pitch diameter tooth thickness, e, as the optimization variables. Optimal structural parameters are obtained by using optimization module of the software Matlab. The 3D model of PRS structures are established with Solidworks and the finite element contact analysis is carried out with Ansys. The contact deformation and stress distribution are calculated among screw, rollers and nut. The results can be used for PRS design.
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28

Sun, Zhaohao, Paul Pinjik, and Francisca Pambel. "Business Case Mining and E-R Modeling Optimization." Studies in Engineering and Technology 8, no. 1 (July 9, 2021): 53. http://dx.doi.org/10.11114/set.v8i1.5288.

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Business case mining and business rule discovery are at the center for entity relationship (E-R) modeling and database design to obtain E-R models. How to transform business cases through business rules into E-R models is a fundamental issue for database design. This article addresses this issue by exploring business case mining and E-R modeling optimization. Business case mining is business rule discovery from a business case. This article reviews case-based reasoning, explores business case-based reasoning, and presents a unified approach to business case mining for business rule discovery. The approach includes people-centered entity/business rule discovery and function-centered entity/business rule discovery. E-R modeling optimization aims to improve the E-R modeling process to get a better E-R diagram that reflects the business case properly. This article proposes a unified optimal method for E-R modeling. The unified optimal method includes people-centered E-R modeling, function-centered E-R modeling, and hierarchical E-R modeling. The approach proposed in this research will facilitate the research and development of E-R modeling, database design, data science, and big data analytics.
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29

ZHOU, D., and X. Y. LIU. "ON THE OPTIMAL DRIVERS OF HIGH-SPEED LOW POWER ICs." International Journal of High Speed Electronics and Systems 07, no. 02 (June 1996): 287–303. http://dx.doi.org/10.1142/s0129156496000128.

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In this paper we study the optimal design of drivers for high-performance VLSI systems. Specifically, we design a driver for a given interconnect such that the signal delay is minimal, or a driver such that the power dissipation and chip area are minimal for a specified delay. For a driver consisting of the cascaded inverters, we first show that the well known method using a fixed size-ratio e (=2.73) between consecutive inverters does not give the optimal design due to the over-simplified circuit model used. Based on the transistor's nonlinear I-V characteristics, we derive an analytic relationship among the parameters of signal delay, power dissipation, driver size, and interconnection load. Using this relationship, we obtain the optimal design of drivers for high-speed low power ICs. When driving a heavy load, the newly designed drivers can reduce the delay by up to 15%, and the power dissipation and chip area by up to one order as compared to the best known designs. The developed optimal driver has a significant impact on the design of high-performance ICs, such as the high-speed bus in microprocessors, interconnect circuit in MCMs, minimal delay clock network, buffers for sending signals from chip to packaging pads, and low power circuits. The practical design examples are given in the paper.
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30

Yang, Wang, Ran Yang, Juanjuan Li, Lin Wei, and Jian Yang. "Optimized tuber-lifting velocity model for cassava harvester design." Advances in Mechanical Engineering 10, no. 9 (September 2018): 168781401880086. http://dx.doi.org/10.1177/1687814018800863.

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The lack of optimized lifting velocity model for cassava tuber lifting results in the shortage of evidence of design of lifting velocity control system and large harvest loss during mechanized harvesting of cassava. First, an optimized velocity model of manually pulling tubers and a velocity model of mechanical lifting tubers were established using physical experiments. And then using the mechanical tuber-lifting velocity model, the mathematical models between coefficients of mechanical tuber-lifting velocity model and cassava harvesting quality were established based on numerical simulation and regression analysis. Moreover, the coefficients were optimized using optimization method and the mechanical optimal tuber-lifting velocity model was obtained. Finally, the optimization results and the mechanical optimal tuber-lifting velocity model were verified by simulation and physical experiment, respectively. The results show that the optimized manual pulling velocity model can be superimposed by a line and a sine curve or a concave downward parabola and a sine curve. The optimal coefficients’ combination of mechanical tuber-lifting velocity model is shown as follows: A = 0.056, B = 0.521, C = 0.048, D = 0.086, E = 38.506, and F = 1.165. The mechanical optimal tuber-lifting velocity model’s expression is simple and the model is reasonable. The mechanical optimal tuber-lifting velocity model, which is established using physical experiments, simulation method, and optimization technique, has great significance for designing lifting velocity control system.
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31

Kim, Jin Bong, and Chun Gon Kim. "Design of Broad Band Radar Absorbing Composite Laminates." Advanced Materials Research 123-125 (August 2010): 951–54. http://dx.doi.org/10.4028/www.scientific.net/amr.123-125.951.

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The purpose of this study is to present the optimal design technology on the broad band radar absorbing composite laminates. The design concept is based on the 2-layer Dällenbach type radar absorber, in which the composite laminates act as the lossy layers. The radar absorbing function was achieved by controlling the electromagnetic property of the composite laminates by means of adding carbon nano materials into the matrix resin of the fiber-reinforced composite laminates. The laminates were fabricated with the E-glass fabric/epoxy prepregs and cured in an autoclave. The electromagnetic properties were measured for the frequency band of 0.5 ~ 18.0 GHz using a coaxial air line and a vector network analyzer. The radar absorbers were designed to have optimal absorbing performance in 10 GHz. The optimization was conducted to get the optimal number of the plies of the laminates and filler contents of the carbon nano materials in the respective layers. The performances of the fabricated absorbers were measured to be compared with the design results. The discrepancy between the design and the measurement was discussed.
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32

Paley, Michael, Georgiy Levchuk, and David Clark. "Model-based Organizational Design for Future Systems." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 49, no. 23 (September 2005): 2031–35. http://dx.doi.org/10.1177/154193120504902307.

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At the core of this effort is the requirement to answer the question of how many and what type of operators are needed to conduct a Battle Management Command and Control (BMC2) mission given the proposed capabilities of the E-10A. That is, define the organizational requirements for a future system before it is built. Based on detailed structured interviews, review of system design documents, and analysis of current Air Force systems, we created a comprehensive mission model as the analytical basis for a modeling and simulation study of operator tasks and task loading for the purpose of determining an optimal team structure for the E-10A. The final organizational design provides a detailed description of a proposed roles and responsibilities within the E-10A. The specification of a detailed model provides traceability of these recommendations and a high degree of transparency to support the system design process.
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33

Zhang, Chun, and Zhi Yuan Li. "Optimization Design on Headstock of Shape High-Speed Vertical Machining Center." Applied Mechanics and Materials 121-126 (October 2011): 1023–27. http://dx.doi.org/10.4028/www.scientific.net/amm.121-126.1023.

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Optimization design was a technology that searched and determined the optimal design. Parametric model of headstock was established in Pro/E, and the parametric model was imported into the ANSYS Workbench. Then multi-objective optimization design was carried out in DesignXplorer module based on test technology, response surface that the combinations of design variables aimed at the objective function was obtained, the situation which design variables changes impacted on performance parameters from the response surface was viewed, a relatively ideal optimal design result was chosen. The mass of improved headstock was reduced, under the condition that performance in all aspects was not diminished.
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Yildiriz, Emin, Salih Burak Kemer, and Murat Bayraktar. "IPT design with optimal use of spiral rectangular coils for wireless charging of e-tricycle scooters." Engineering Science and Technology, an International Journal 33 (September 2022): 101082. http://dx.doi.org/10.1016/j.jestch.2021.101082.

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Nguyen, Hieu Trung, and Phu Huu Bui. "FPGA Implementation of Mimo E-SDM for future communications wireless networks." Science and Technology Development Journal 17, no. 1 (March 31, 2014): 81–91. http://dx.doi.org/10.32508/stdj.v17i1.1296.

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Multiple-input multiple-output (MIMO) systems applying the Eigenbeam-Space Division Multiplexing (E-SDM) technique can be considered as optimal MIMO systems because of providing the highest channel capacity and good communications reliability. In the systems, orthogonal transmission beams are formed between transmit and receive sides; and also optimal transmit input data are adaptively allocated. In addition, a simple detection can be used at receiver to totally eliminate sub-stream interference. Therefore, MIMO E-SDM systems have been considered as a good potential technology for future high speed data transmission networks. Although there have been a lot of technical papers evaluated the systems based on theory analyses and/or computer-based simulation, just few ones have been considered the MIMO E-SDM systems based on hardware design. The main contribution of this paper is to present our own design and implementation of 2x2 and 2x3 MIMO E-SDM systems on FPGA Altera Stratix DSP Development KIT using Verilog HDL, an important step before going to make integrated circuits. The bit-error rate performance the consumption for our design of these systems have shown that our design is successful.
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Xue, Zi Yun, Bin Zhang, Ji Xing Jia, and Dong Bo Zhang. "Design and Simulation Analysis of a Hybrid Manipulator." Advanced Materials Research 712-715 (June 2013): 2255–59. http://dx.doi.org/10.4028/www.scientific.net/amr.712-715.2255.

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The unique design for a novel 3-DOF hybrid mechanism is proposed in this paper. The 3D modeling of the structure is constructed with Pro/E., kinematics and dynamics simulation by ADAMS software, which can provide a theoretical base for the optimal design and application of the mechanism. This novel 3-DOF hybrid mechanism is suitable for the industrial, agriculture and service applications in which the requirements for simple structure, high stiffness, and large workspace.
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Huang, Xiao Bing, and Guang Wen. "The Design of Double-Helix Single-Screw Pump Based on PRO/E." Applied Mechanics and Materials 37-38 (November 2010): 1437–41. http://dx.doi.org/10.4028/www.scientific.net/amm.37-38.1437.

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Based on the unique merit of double-helix single-screw pump, its working principle is analyzed and its rolling bush and screw profile are designed in this paper. The 3D modeling and virtual assembly of double-helix Screw Pump are established based on Pro/E. The results showed that the multiphase pump could assembly with the design without interference. It provided the reference for optimal design and experimental prototype manufacturing.
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Alvarez, A., and B. Mourre. "Optimum Sampling Designs for a Glider–Mooring Observing Network." Journal of Atmospheric and Oceanic Technology 29, no. 4 (April 1, 2012): 601–12. http://dx.doi.org/10.1175/jtech-d-11-00105.1.

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Abstract Ocean observing systems (OOSs) constituted by moorings and gliders are becoming relevant in oceanographic and climate studies. In these observing networks, the temporal variability is captured by mooring observations, while the spatial variability is obtained from gliders sampling in the surrounding area. The advent of this observing capability brings the need to find optimal procedures to sample a given ocean region with a glider in the presence of a neighboring mooring, in order to maximize the information content of the data collected by this observing network. Different criteria (e.g., A, G, or E optimality) commonly used in the geosciences to obtain an optimum design lead to different sampling strategies. The question of which criterion performs better for optimal design in the marine environment remains open. This work investigates optimal procedures to sample a given ocean region with a glider in the presence of a mooring. Specifically, observing systems simulation experiments (OSSEs) are carried out in the Ligurian Sea (western Mediterranean) in August 2010 to study the different sampling strategies. Three criteria, which respectively aim at minimizing the trace (A optimal), maximum diagonal value (G optimal), and maximum eigenvalue of the error covariance matrix (E optimal), are considered. The resulting temperature field estimations are evaluated against a control field at 50-, 100-, and 150-m depth. The results indicate that the most appropriate strategy for environmental characterization using gliders employs the A optimal criterion, minimizing the mean uncertainty over the study area.
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He, Haifeng, Jiangtao Feng, Junbo He, Qin Xia, Yanliang Ren, Fang Wang, Hao Peng, Hongwu He, and Lingling Feng. "Design, synthesis, biological evaluation and molecular docking of amide and sulfamide derivatives as Escherichia coli pyruvate dehydrogenase complex E1 inhibitors." RSC Advances 6, no. 6 (2016): 4310–20. http://dx.doi.org/10.1039/c5ra22573f.

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Li, Xiaoke, Qianlong Jiang, Yu Long, Zhenzhong Chen, Wenbo Zhao, Wuyi Ming, Yang Cao, and Jun Ma. "Design Optimization of Chute Structure Based on E-SVR Surrogate Model." Metals 13, no. 3 (March 22, 2023): 635. http://dx.doi.org/10.3390/met13030635.

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To reduce the wear and damage of the chute caused by long-term impact of coke, a structure parameter optimization model was established in this paper, which takes the minimum impact force as the objective and the coke-conveying speed as the constraint. Furthermore, the ensemble of support vector regression (E-SVR) with different kernel functions was developed to replace the implicit relationship between the conveying speed, the impact force, and the structure parameters. Using the numerical examples, the effectiveness of the E-SVR model was verified. Finally, the optimal chute structure parameters were obtained by using the E-SVR model. After optimization, the maximum impact force was reduced by 17.07% and the maximum conveying speed was reduced by 6.59%, which still falls within the specified range. Therefore, the feasibility of the optimization results and the effectiveness of the E-SVR surrogate model were verified.
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Holtzblatt, Mark, and Norbert Tschakert. "The Design And Implementation Of An Enlivened IFRS Course." American Journal of Business Education (AJBE) 3, no. 6 (June 1, 2010): 103–14. http://dx.doi.org/10.19030/ajbe.v3i6.6872.

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In the Spring/2009 semester, with the financial support of a PricewaterhouseCoopers IFRS Ready Grant, a new course was developed that focused on International Financial Reporting Standards (IFRS). The course design goal was to choose the optimal combination of pedagogical tools and topics to create an effective, engaging and stimulating course plan. The course incorporates the online e-IFRS created by the International Accounting Standards Board (IASB), e-Learning IFRS Modules from the global accounting firm of Deloitte and IFRS Expert online videos and webcasts from corporate and various institutional and academic institutions. The pedagogical techniques described herein are also applicable to introductory accounting and finance classes, intermediate and advanced accounting classes and the international accounting and theory classes.
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Kim, Se-eun, and Yong-min You. "Optimization of a Permanent Magnet Synchronous Motor for e-Mobility Using Metamodels." Applied Sciences 12, no. 3 (February 3, 2022): 1625. http://dx.doi.org/10.3390/app12031625.

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Permanent magnet synchronous motors (PMSMs) with rectangular coils in hairpin windings exhibit improved fill factor and reduced end turn of the coils, which in turn improve the efficiency and power density of PMSMs, making them ideal for e-mobility applications. Herein, the shape of a PMSM was optimized for torque ripple reduction using metamodels to improve the noise and vibrational performance of the motor. The objective function of the optimal design aimed to minimize the torque ripple, and the average torque and efficiency were set as constraints. The notch width and depth and barrier length were selected as the design variables to satisfy the objective function and constraints. Using the optimal Latin hypercube design technique, 27 experimental points were selected, and a finite element analysis (FEA) was performed for each point. Furthermore, a function approximation was performed using six metamodels, and the best metamodel was selected using the root mean square error test. Moreover, the optimization was performed by combining the best metamodels for each variable with a sequential two-point diagonal quadratic approximation optimization algorithm. The torque ripple was improved by approximately 1.63% compared with the initial model, whereas the constraint values remained constant. Finally, an FEA was performed on the optimal point, and the FEA results matched with those of the optimal method.
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Rahmat, Imran. "Implementasi Andragogi Platform E-learning pada Blended Learning di Universitas Negeri Padang." Journal of Education Technology 4, no. 2 (May 31, 2020): 133. http://dx.doi.org/10.23887/jet.v4i2.24817.

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The background of this research was blended learning on adult education especially on the design used in the online platform because blended learning was a learning model that combines face to face learning and online learning activities. This research was a descriptive research by using qualitative method; the data was collected by observation and interview methods. The subject of this research was the history of modern thinking course, study program on Visual Communication Design, Padang University which has used blended learning in the learning process. Data analysis was performed by using the Bogdan & Biklen model. The results showed that the e-learning used in the history of modern thinking course, study program on Visual Communication Design, Padang University was still not optimal to fulfil the adult learning needs, it wass expected that UNP (Padang University) could add and optimize the e-learning features in the future to make it more optimal.
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Sun, Qi, Liwen Jiang, and Haitao Xu. "A Double-Layer Combination Algorithm for Real-Time Information-Sharing Network Design Problem." Complexity 2021 (February 27, 2021): 1–18. http://dx.doi.org/10.1155/2021/4856593.

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The accumulation of real-time data has attracted the attention of various industries because valuable information can be extracted from the effective model and method design. This paper designs a low-carbon model and focuses on the real-time information-sharing network in order to get sustainable strategies promptly and exactly. The design problem is concerned with determining optimal integration strategies on a series of multilocation, multipath, and multiwarehouse freight provided by an information-sharing network to find an effective balance between the total costs and carbon emission. Firstly, the biobjective information-sharing network model is established to describe real-time problem with total cost and carbon emission factor. Secondly, a double-layer bacterial foraging algorithm is divided into inner and outer layers to solve the model, in which the inner section solves the transportation and inventory problems, and the outer section solves the supplier location problem. The double-layer bacterial foraging algorithm realizes the optimization of multisource e-commerce information-sharing model through nesting inside and outside layers. Finally, double-layer bacterial foraging algorithm can be confirmed to get the global optimal solution rapidly based on test data and the e-business case study of Jingdong, China.
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Mohseni, Seyed Saleh, Valiollah Babaeipour, and Ahmad Reza Vali. "Design of sliding mode controller for the optimal control of fed-batch cultivation of recombinant E. coli." Chemical Engineering Science 64, no. 21 (November 2009): 4433–41. http://dx.doi.org/10.1016/j.ces.2009.07.014.

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46

Ullah, Ubaid, Iftikhar Ali, and Jae Seung Park. "Development of a Designer’s Checklist for the Designing of an Optimal Healing Environment in Primary, Secondary, and Tertiary Healthcare Facilities (HFCS)." Journal of Art, Architecture and Built Environment 5, no. 1 (May 20, 2022): 52–66. http://dx.doi.org/10.32350/jaabe.51.03.

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The purpose of this research is to develop a designer’s checklist encompassing the various categories of healthcare facilities (HCFs). This checklist is based on the research available about the elements/factors of the healing environment. An evidence-based design was used to conduct this study. Online database searches on Google Scholar, JSTOR, Scopus, and PubMed using various keywords, such as healing environment, evidence-based design, patient safety, infection, medical errors, patient falls, stress reduction, social support, single bedroom, views of nature, daylighting, music therapy, and noise levels in a healthcare setting were used for data collection. The collected data was analyzed based on the level of evidence and sorted accordingly for the development of three types of a designer’s checklist encompassing optimal healing environments. All the elements/ factors of environmental design were coded according to their level of evidence and were sorted into three categories: 1) Fair level of evidence (F) comprising expert opinions, case series, and case reports, 2) Good level of evidence (G) comprising cohort studies and case-control studies, and 3) Excellent level of evidence (E) comprising randomized controlled trials and systematic reviews. To create an optimal healing environment, this study proposes three different levels of healing environments corresponding with the three levels of HCFs as follows: 1)healing environment Level-I for tertiary HCFs includes elements/ factors of environmental design with E, G, and F levels of evidence, 2)healing environment Level-II for secondary HCFs includes elements/ factors of environmental design with E and G levels of evidence, and 3)healing environment Level-III for primary HCFs includes elements/ factors of environmental design with E level of evidence. This study makes the designing and renovation of HCFs to create an optimal healing environment easily measurable and achievable. Keywords: Checklist, healing environment, healthcare facilities (HCFs), hospital design, measurement
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Meilasari, Venty, and Khusnul Khotimah. "PENGEMBANGAN E-MODUL BERBANTUAN GEOGEBRA PADA MATAKULIAH KALKULUS INTEGRAL LIPAT." SIGMA 8, no. 1 (November 17, 2022): 1. http://dx.doi.org/10.36513/sigma.v8i1.1533.

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The lack of interaction between students and lecturers in learning causes information not to be conveyed optimally. Moreover, fold integral calculus is an abstract material. Therefore, learning innovations are applied that can support more independent learning and are able to visualize abstract material. This study aims to determine the feasibility of the geogebra-assisted electronic module in the fold integral calculus course. This research is classified as development research which refers to Sugiyono development model but is only limited to 7 stages. The stages carried out in the research, namely potential and problems, data collection, product design, design validation, design revision, product testing and product revision. The instruments used in this study were validation sheets, user response questionnaires, and learning outcomes tests. Indicators of achievement of the results of this study are e-modules are declared suitable for use and students who get optimal learning outcomes are more than 70%. The results showed that the folding integral calculus e-module that was made was feasible to use. This is shown as much as 74% of students achieve optimal learning outcomes.
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Meilasari, Venty, and Khusnul Khotimah. "PENGEMBANGAN E-MODUL BERBANTUAN GEOGEBRA PADA MATAKULIAH KALKULUS INTEGRAL LIPAT." SIGMA 8, no. 1 (November 17, 2022): 1. http://dx.doi.org/10.53712/sigma.v8i1.1533.

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The lack of interaction between students and lecturers in learning causes information not to be conveyed optimally. Moreover, fold integral calculus is an abstract material. Therefore, learning innovations are applied that can support more independent learning and are able to visualize abstract material. This study aims to determine the feasibility of the geogebra-assisted electronic module in the fold integral calculus course. This research is classified as development research which refers to Sugiyono development model but is only limited to 7 stages. The stages carried out in the research, namely potential and problems, data collection, product design, design validation, design revision, product testing and product revision. The instruments used in this study were validation sheets, user response questionnaires, and learning outcomes tests. Indicators of achievement of the results of this study are e-modules are declared suitable for use and students who get optimal learning outcomes are more than 70%. The results showed that the folding integral calculus e-module that was made was feasible to use. This is shown as much as 74% of students achieve optimal learning outcomes.
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49

Oke, Peter R., and Andreas Schiller. "A Model-Based Assessment and Design of a Tropical Indian Ocean Mooring Array." Journal of Climate 20, no. 13 (July 1, 2007): 3269–83. http://dx.doi.org/10.1175/jcli4170.1.

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Abstract A series of observing system simulation experiments (OSSEs) are performed for the tropical Indian Ocean (±15° from the equator) using a simple analysis system. The analysis system projects an array of observations onto the dominant empirical orthogonal functions (EOFs) derived from an intermediate-resolution (2° × 0.5°) ocean circulation model. This system produces maps of the depth of the 20°C isotherm (D20), representing interannual variability, and the high-pass-filtered mixed layer depth (MLD), representing intraseasonal variability. The OSSEs are designed to assess the suitability of the proposed Indian Ocean surface mooring array for resolving intraseasonal to interannual variability. While the proposed array does a reasonable job of resolving the interannual time scales, it may not adequately resolve the intraseasonal time scales. A procedure is developed to rank the importance of observation locations by determining the observation array that best projects onto the EOFs used in the analysis system. OSSEs using an optimal array clearly outperform the OSSEs using the proposed array. The configuration of the optimal array is sensitive to the number of EOFs considered. The optimal array is also different for D20 and MLD, and depends on whether fixed observations are included that represent an idealized Argo array. Therefore, a relative frequency map of observation locations identified in 24 different OSSEs is compiled and a single, albeit less optimal, array that is referred to as a consolidated array is objectively determined. The consolidated array reflects the general features of the individual optimal arrays derived from all OSSEs. It is found that, in general, observations south of 8°S and off of the Indonesian coast are most important for resolving the interannual variability, while observations a few degrees south of the equator, and west of 75°E, and a few degrees north of the equator, and east of 75°E, are important for resolving the intraseasonal variability. In a series of OSSEs, the consolidated array is shown to outperform the proposed array for all configurations of the analysis system for both D20 and MLD.
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VOLCHOK, D. L., and V. V. DANISHEVSKYY. "THE OPTIMAL DESIGN OF THE 40.00-57 DUAL PURPOSE ORTHOTROPIC SHELL UNDER UNCERTAINTY CONDITIONS DESIGN." Ukrainian Journal of Civil Engineering and Architecture, no. 3 (015) (June 25, 2023): 34–39. http://dx.doi.org/10.30838/j.bpsacea.2312.140723.34.952.

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Problem statement. A feature of the modern technical systems’ design is that deterministic approaches dominate, while consideration of uncertainty can provide a more adequate representation of the research object in the appropriate calculation scheme, mathematical model. The consideration of uncertainties becomes especially relevant in the modeling of complex technical systems, where uncertainties can be quite abundant and the uncertainties themselves can be of different nature, namely stochastic, rough, fuzzy, or even combined. It is advisable to check whether the system is tolerant to uncertainties. This work is devoted to the construction of methods for the optimal design of the new rubber-cord shell 40.00-57 in the conditions of the fuzzy initial data. For a deterministic approach a special mathematical model can be used to calculate the output parameters. The mathematical model developed by Prof. E. Kvasha, at one time was truly revolutionary, because for the first time in the world the contact problem of the interaction of an elastic base with a layered orthotropic shell, which is part of a complex technical tire system, was solved. The main drawback, which could not be overcome by varying the input parameters, remained the uneven resource of the shell frame elements. So, variant design has shown its insufficient efficiency for such complex technical systems. The purpose of the research is to suggest a model and methods of optimal design for optotropic rubber-cord oversized shells under the conditions of real factors of uncertain nature. Conduct methods testing and design a new construction of tire 40.00-57 for civilian and military purposes. Conclusion. The authors proposed models and methods of optimal design of orthotropic rubber-cord shells under the condition of fuzzy data. Approbation of the symbiosis of Monte Carlo methods and the method of local variations for finding the optimal geometry of the shell was conducted. For new 40.00-57 tire shape, the difference between the largest frame resource and the smallest resource of the tire’s elements was about 18 %. Such a result could not be achieved by variant design. The temperature distribution in the cross-section of the tire under conditions of operation for 8 hours at an ambient temperature of 37 0C does not exceed the value of 110 0C, at which the thermal destruction of the rubber-cord material begins.
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