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Journal articles on the topic 'Two-level design'

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Published: 30 May 2022
Last updated: 31 May 2022

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1

HUANG, T. L., C. T. HSIEH, and S. C. CHEN. "TWO-LEVEL OPTIMAL PI CONTROLLER DESIGN." Electric Machines & Power Systems 21, no. 4 (July 1993): 449–61. http://dx.doi.org/10.1080/07313569308909670.

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2

Amale, Amit, and Angelo Lucia. "A two-level distillation design method." AIChE Journal 54, no. 11 (November 2008): 2888–903. http://dx.doi.org/10.1002/aic.11609.

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3

Evangelaras, H., and Christos Koukouvinos. "Screening Properties And Design Selection Of Certain Two-Level Designs." Journal of Modern Applied Statistical Methods 2, no. 1 (May 1, 2003): 87–107. http://dx.doi.org/10.22237/jmasm/1051747740.

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4

Huang, T. L., T. Y. Hwang, and W. T. Yang. "Two-level optimal output feedback stabilizer design." IEEE Transactions on Power Systems 6, no. 3 (1991): 1042–48. http://dx.doi.org/10.1109/59.119244.

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5

Sato, Shinji. "TSUNAMI DISASTER MITIGATION BY TWO-LEVEL DESIGN." Coastal Engineering Proceedings, no. 36v (December 31, 2020): 3. http://dx.doi.org/10.9753/icce.v36v.keynote.3.

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6

Huang, T. L., T. Y. Hwang, and W. T. Yang. "Two-level optimal output feedback stabilizer design." International Journal of Energy Research 16, no. 2 (March 1992): 91–99. http://dx.doi.org/10.1002/er.4440160202.

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7

Chatterjee, K., Lih-Yuan Deng, and Dennis K. J. Lin. "Two-level search design for main-effect plus two plan." Metrika 54, no. 3 (February 1, 2002): 233–45. http://dx.doi.org/10.1007/s184-002-8366-1.

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8

Wilmut, Michael, and Julie Zhou. "D-optimal minimax design criterion for two-level fractional factorial designs." Journal of Statistical Planning and Inference 141, no. 1 (January 2011): 576–87. http://dx.doi.org/10.1016/j.jspi.2010.07.002.

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9

Howlett, Michael, Ishani Mukherjee, and Jeremy Rayner. "The Elements of Effective Program Design: A Two-Level Analysis." Politics and Governance 2, no. 2 (June 9, 2014): 1–12. http://dx.doi.org/10.17645/pag.v2i2.23.

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Policy and program design is a major theme of contemporary policy research, aimed at improving the understanding of how the processes, methods and tools of policy-making are employed to better formulate effective policies and pro-grams, and to understand the reasons why such designs are not forthcoming. However while many efforts have been made to evaluate policy design, less work has focused on program designs. This article sets out to fill this gap in knowledge of design practices in policy-making. It outlines the nature of the study of policy design with a particular focus on the nature of programs and the lessons derived from empirical experience regarding the conditions that enhance program effectiveness.
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10

Memon, Azhar M., and Magdi S. Mahmoud. "Two-level design for aperiodic networked control systems." Signal Processing 120 (March 2016): 43–55. http://dx.doi.org/10.1016/j.sigpro.2015.08.015.

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11

Goelman, G., S. Vega, and D. B. Zax. "Design of broadband propagators in two-level systems." Physical Review A 39, no. 11 (June 1, 1989): 5725–43. http://dx.doi.org/10.1103/physreva.39.5725.

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12

Uang, Chia-Ming. "An Evaluation of Two-Level Seismic Design Procedure." Earthquake Spectra 9, no. 1 (February 1993): 121–35. http://dx.doi.org/10.1193/1.1585708.

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The two-level design philosophy is recognized by modern seismic codes. When this philosophy is implemented in the code, the intensities of the two design earthquakes, the structural performance criteria, explicit versus implicit design approach, and the effectiveness to achieve the performance criteria vary considerably from one code to the other. For the ultimate limit state, the UBC was compared with seismic codes of Canada, Japan, and Eurocode. It was found that a trend to deviate from the UBC approach of using a single seismic force reduction factor (i.e., Rw) is apparent. Instead, an approach using a compound force reduction factor which considers the contribution of structural ductility and structural overstrength is preferred. For the serviceability limit state, a comparison of the level of design earthquakes and performance criteria of the UBC, Tri-Services Manual, and the Japanese code indicates that the UBC produces the most flexible structure, and that UBC does not control structural damage. It is suggested that the UBC adopts an explicit serviceability design procedure.
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13

Li, W. C., and S. Azarm. "Parameter Sensitivity Analysis in Two-Level Design Optimization." Journal of Mechanical Design 112, no. 3 (September 1, 1990): 354–61. http://dx.doi.org/10.1115/1.2912615.

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Parameter sensitivity analysis of a two-level design optimization problem can be decomposed into two levels. In the first-level, the sensitivities of the subproblems are calculated separately. In the second-level, the sensitivities obtained for the first-level subproblems are coordinated to obtain the overall sensitivity information. Using this approach, we cannot only obtain the overall effect that a small change in a parameter has on the optimum solution of a problem (or system) but also its local effects on the subproblems (or subsystems). A simple two-bar truss example demonstrates the approach.
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14

Álvarez-Miranda, Eduardo, Ivana Ljubić, S. Raghavan, and Paolo Toth. "The Recoverable Robust Two-Level Network Design Problem." INFORMS Journal on Computing 27, no. 1 (February 2015): 1–19. http://dx.doi.org/10.1287/ijoc.2014.0606.

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15

AZARM, SHAPOUR, and WEI-CHU LI. "A TWO-LEVEL DECOMPOSITION METHOD FOR DESIGN OPTIMIZATION." Engineering Optimization 13, no. 3 (June 1988): 211–24. http://dx.doi.org/10.1080/03052158808940956.

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16

Lin, Jenn-Rong, and Hsien-Chung Lei. "Distribution systems design with two-level routing considerations." Annals of Operations Research 172, no. 1 (September 16, 2009): 329–47. http://dx.doi.org/10.1007/s10479-009-0628-y.

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17

Dezyani, Morteza, Hossein Dalayeli, Shahram Yousefi, and Hamid Farrokhfal. "Two-Level Design Optimization for Compression Stiffened Panel." Iranian Journal of Science and Technology, Transactions of Mechanical Engineering 42, no. 2 (June 6, 2017): 199–211. http://dx.doi.org/10.1007/s40997-017-0079-z.

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18

Choi, Seongim, Juan J. Alonso, and Ilan M. Kroo. "Two-Level Multifidelity Design Optimization Studies for Supersonic Jets." Journal of Aircraft 46, no. 3 (May 2009): 776–90. http://dx.doi.org/10.2514/1.34362.

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19

Gupta, V. K., Poonam Singh, Basudev Kole, and Rajender Parsad. "Addition of runs to a two-level supersaturated design." Journal of Statistical Planning and Inference 140, no. 9 (September 2010): 2531–35. http://dx.doi.org/10.1016/j.jspi.2010.03.026.

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20

Lakatos, Béla G., and Róbert Auer. "Two-level model based design of solids processing systems." Computers & Chemical Engineering 22 (March 1998): S785—S788. http://dx.doi.org/10.1016/s0098-1354(98)00148-3.

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21

Azarm, S., and W. C. Li. "Optimality and Constrained Derivatives in Two-Level Design Optimization." Journal of Mechanical Design 112, no. 4 (December 1, 1990): 563–68. http://dx.doi.org/10.1115/1.2912647.

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The objective of this paper is twofold. First, an optimality test is presented to show that the optimality conditions for a separable two-level design optimization problem before and after its decomposition are the same. Second, based on identification of active constraints and exploitation of problem structure, a simple approach for calculating the gradient of a “second-level” problem is presented. This gradient is an important piece of information which is needed for solution of two-level design optimization problems. Three examples are given to demonstrate applications of the approach.
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22

Horowitz, Bernardo. "Two‐Level Approach to Design of Short Concrete Columns." Journal of Structural Engineering 117, no. 12 (December 1991): 3570–86. http://dx.doi.org/10.1061/(asce)0733-9445(1991)117:12(3570).

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23

Serikawa, Seiichi, Yuhki Kitazono, Huimin Lu, Akira Yamawaki, and Makoto Miyauchi. "Design of Water Level Sensor with Two-Pairs Capacitor." Journal of the Institute of Industrial Applications Engineers 1, no. 1 (July 25, 2013): 11–14. http://dx.doi.org/10.12792/jiiae.1.11.

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24

Ankenman, Bruce E. "Design of Experiments with Two- and Four-Level Factors." Journal of Quality Technology 31, no. 4 (October 1999): 363–75. http://dx.doi.org/10.1080/00224065.1999.11979943.

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25

Gea, Hae Chang, and Kunjal Oza. "Two-level approximation method for reliability-based design optimisation." International Journal of Materials and Product Technology 25, no. 1/2/3 (2006): 99. http://dx.doi.org/10.1504/ijmpt.2006.008276.

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26

Li, Jung-Shian, Ching-Fang Yang, and Jian-Hong Chen. "Star-Block Design in Two-Level Survivable Optical Networks." IEEE/ACM Transactions on Networking 19, no. 2 (April 2011): 526–39. http://dx.doi.org/10.1109/tnet.2010.2069571.

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27

Freise, Fritjof, Heinz Holling, and Rainer Schwabe. "Optimal designs for two-level main effects models on a restricted design region." Journal of Statistical Planning and Inference 204 (January 2020): 45–54. http://dx.doi.org/10.1016/j.jspi.2019.04.005.

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28

Konstantopoulos, Spyros. "Optimal Design in Three-Level Block Randomized Designs With Two Levels of Nesting." Educational and Psychological Measurement 73, no. 5 (April 25, 2013): 784–802. http://dx.doi.org/10.1177/0013164413485752.

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29

Jie Chang and Jun Hu. "Modular design of soft-switching circuits for two-level and three-level inverters." IEEE Transactions on Power Electronics 21, no. 1 (January 2006): 131–39. http://dx.doi.org/10.1109/tpel.2005.861101.

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30

Elugachev, Pavel A., Maxim A. Elugachev, and Andrey N. Baigulov. "Two-level roundabouts: there are design tools, but there are no design norms." SAPR i GIS avtomobilnykh dorog, no. 1(2) (2014): 66–69. http://dx.doi.org/10.17273/cadgis.2014.1.14.

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31

Chalupa, David, and Peter Nielsen. "Two strategies of two-level facility network design for autonomous ground vehicle operations." Production & Manufacturing Research 6, no. 1 (January 2018): 494–506. http://dx.doi.org/10.1080/21693277.2018.1548982.

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32

Gáspár, P., G. Szederkényi, Z. Szabó, and J. Bokor. "THE DESIGN OF A TWO-LEVEL CONTROLLER FOR SUSPENSION SYSTEMS." IFAC Proceedings Volumes 41, no. 2 (2008): 3386–91. http://dx.doi.org/10.3182/20080706-5-kr-1001.00575.

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33

Mee, Robert W., Eric D. Schoen, and David J. Edwards. "Selecting an Orthogonal or Nonorthogonal Two-Level Design for Screening." Technometrics 59, no. 3 (April 27, 2017): 305–18. http://dx.doi.org/10.1080/00401706.2016.1186562.

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34

Chamberland, Steven, Brunilde Sansò, and Odile Marcotte. "Topological Design of Two-Level Telecommunication Networks with Modular Switches." Operations Research 48, no. 5 (October 2000): 745–60. http://dx.doi.org/10.1287/opre.48.5.745.12412.

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35

Wang, P. C. "Design two-level factorial experiments in blocks of size four." Communications in Statistics - Theory and Methods 46, no. 1 (September 30, 2016): 9–16. http://dx.doi.org/10.1080/03610926.2014.983611.

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36

Bley, Andreas, Ivana Ljubić, and Olaf Maurer. "Lagrangian decompositions for the two-level FTTx network design problem." EURO Journal on Computational Optimization 1, no. 3-4 (September 4, 2013): 221–52. http://dx.doi.org/10.1007/s13675-013-0014-z.

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37

Zahran, Alyaa Roshdy. "Two-Level Factorial Design with Circular Response: Model and Analysis." Journal of Data Science 11, no. 3 (March 14, 2021): 415–32. http://dx.doi.org/10.6339/jds.201307_11(3).0003.

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38

Zahran, Alyaa Roshdy. "Two-Level Factorial Design with Circular Response: Model and Analysis." Journal of Data Science 11, no. 3 (July 30, 2021): 415–32. http://dx.doi.org/10.6339/jds.2013.11(3).1167.

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39

Brahim, MAHIDDINI. "Optimum design of a spur gear using a two level optimization approach." Mechanics 25, no. 4 (August 28, 2019): 304–12. http://dx.doi.org/10.5755/j01.mech.25.4.18994.

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In this paper, we present a two level optimization approach in order to enhance the design process of a one-stage speed reducer. The proposed design methodology is performed using genetic algorithms which are judiciously combined with the use of :i) analytical models (1stlevel) and ii) Finite Element Method (FEM)based models ( 2nd level), to evaluate design candidates. Indeed, the use of CAD-CAE tools to develop higher fidelity FEM models allows to re-evaluate the attained first level designs, while accounting for new design parameters and advanced aspects which have been ignored in the first level. In order to minimize the computational burden, a metamodel based optimization technique is adopted at this second level. To illustrate the efficiency of the proposed approach, a case study of a spur gear based reducer is presented where the design of experiments is built using Hypercube Latin Sampling and surrogate models are constructed using Radial Basic Functions.
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40

Suh, Nam-Duk, and Chang-Wook Huh. "DESIGN SCOPE AND LEVEL FOR STANDARD DESIGN CERTIFICATION UNDER A TWO STEP LICENSING PROCESS." Nuclear Engineering and Technology 44, no. 6 (August 25, 2012): 689–96. http://dx.doi.org/10.5516/net.03.2011.030.

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41

Zimmerman, Stanley L., and J. P. Robinson. "Two-Level Cache Performance for Multiprocessors." SIMULATION 60, no. 4 (April 1993): 222–31. http://dx.doi.org/10.1177/003754979306000402.

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42

Silva, L. M., and J. G. Silva. "Using two-level stable storage for efficient checkpointing." IEE Proceedings - Software 145, no. 6 (1998): 198. http://dx.doi.org/10.1049/ip-sen:19982440.

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43

Liu, Zheng, and Hua Chen. "Cooperative Optimal Method for Two Level Models of Micro Device." Advanced Materials Research 328-330 (September 2011): 783–87. http://dx.doi.org/10.4028/www.scientific.net/amr.328-330.783.

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With the gradual complication of micro devices, the poor manufacturability of product becomes a bottleneck. In this paper, we discuss the optimal design method that involves the model restriction, model revising and cooperative design management. Firstly, the design rules checking for the original model is introduced, which constrains the 3D models into an appropriate form to satisfy the manufacturing requirements. Then, the informational description of micro device involves two levels. The device level modeling focuses on geometric information, while the process level modeling works at manufacturability. Based on the two level models, the model revising procedure is performed in cooperative design environment. Furthermore, a polysilicon electro-thermal actuator is used to illustrate the cooperative optimal design approach.
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44

Yahiaoui, I., and F. Aissani-Benissad. "Experimental design for copper cementation process in fixed bed reactor using two-level factorial design." Arabian Journal of Chemistry 3, no. 3 (July 2010): 187–90. http://dx.doi.org/10.1016/j.arabjc.2010.04.009.

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45

WASA, Yasuaki, Kenji HIRATA, and Kenko UCHIDA. "Game-theoretic Transactive Control Based Two-level Electricity Balancing Market Design." Transactions of the Society of Instrument and Control Engineers 55, no. 6 (2019): 401–10. http://dx.doi.org/10.9746/sicetr.55.401.

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46

Rushdi, Ali, and Omar Ba-Rukab. "Efficient Design of a Compact Two-Level Multiple-Output Logic Network." Journal of King Abdulaziz University-Engineering Sciences 17, no. 1 (2006): 23–30. http://dx.doi.org/10.4197/eng.17-1.2.

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47

TOJO, Nobuaki, Nozomu TOGAWA, Masao YANAGISAWA, and Tatsuo OHTSUKI. "A Two-Level Cache Design Space Exploration System for Embedded Applications." IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences E92-A, no. 12 (2009): 3238–47. http://dx.doi.org/10.1587/transfun.e92.a.3238.

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48

Milovanovic, Stefan, and Drazen Dujic. "Comprehensive Analysis and Design of a Quasi Two-Level Converter Leg." CPSS Transactions on Power Electronics and Applications 4, no. 3 (September 2019): 181–96. http://dx.doi.org/10.24295/cpsstpea.2019.00018.

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49

Carrera, E., L. Mannella, G. Augello, and N. Gualtieri. "A two-level optimization feature for the design of aerospace structures." Proceedings of the Institution of Mechanical Engineers, Part G: Journal of Aerospace Engineering 217, no. 4 (April 1, 2003): 189–206. http://dx.doi.org/10.1243/095441003769700753.

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This work proposes and applies a two-level optimization feature for the design and analysis of reinforced shell structures for aerospace applications. A general-purpose finite element software (NASTRAN) is used as a first-level code to compute the loadings that act on panels. The panels are then optimized using a second-level code (PANDA2), which gives their optimum solutions by taking into account buckling and postbuckling elastic stability constraints. The PANDA2 code, which is based on pseudo-analytical formulations, leads to a considerable reduction of the requested computational efforts compared to the optimization made by NASTRAN. The proposed two-level feature, named NAPAO, builds a loop (between the NASTRAN and PANDA2 codes) that runs until a convergent solution is reached. Those substructures, such as longerons and stiffeners (which are not considered by PANDA2), could be optimized by referring to the solver that is available from NASTRAN. A number of examples that encompass simple structures as well as two complete space vehicles and an unconventional aircraft have been optimized. Metallic as well as composite materials were considered. It can be concluded that NAPAO is a very useful tool for the design process of complex aerospace structures. It gives accurate results and reduces computational costs compared to a standard optimization made when only using the general-purpose code.
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50

Liao, Chen-Tuo, and Feng-Shun Chai. "Design and Analysis of Two-Level Factorial Experiments With Partial Replication." Technometrics 51, no. 1 (February 2009): 66–74. http://dx.doi.org/10.1198/tech.2009.0007.

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