Academic literature on the topic 'Hierarchical designs'

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Journal articles on the topic "Hierarchical designs"

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Yoshimura, Masataka, and Kazuhiro Izui. "Smart Optimization of Machine Systems Using Hierarchical Genotype Representations." Journal of Mechanical Design 124, no. 3 (2002): 375–84. http://dx.doi.org/10.1115/1.1486013.

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Design problems for machine products are generally hierarchically expressed. With conventional product optimization methods, however, it is difficult to concurrently optimize all design variables of portions within such hierarchical structures. This paper proposes a design optimization method using genetic algorithms containing hierarchical genotype representations, so that the hierarchical structures of machine system designs are exactly expressed through genotype coding, and optimization can be concurrently conducted for all of the hierarchical structures. Crossover and mutation operations f
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Kaser, O. "On squashing hierarchical designs [VLSI]." IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems 14, no. 11 (1995): 1398–402. http://dx.doi.org/10.1109/43.469668.

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Schwabe, Rainer. "Optimal designs for hierarchical interaction structures." Journal of Statistical Planning and Inference 70, no. 1 (1998): 181–90. http://dx.doi.org/10.1016/s0378-3758(97)00174-2.

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Blanchard, Gilles, and Donald Geman. "Hierarchical testing designs for pattern recognition." Annals of Statistics 33, no. 3 (2005): 1155–202. http://dx.doi.org/10.1214/009053605000000174.

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Kim, Kee Sup, and Ming Zhang. "Hierarchical Test Compression for SoC Designs." IEEE Design & Test of Computers 25, no. 2 (2008): 142–48. http://dx.doi.org/10.1109/mdt.2008.39.

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Wei, Y. C., and C. K. Cheng. "Ratio cut partitioning for hierarchical designs." IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems 10, no. 7 (1991): 911–21. http://dx.doi.org/10.1109/43.87601.

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ABYZOV, VADYM. "SOME METHODOLOGICAL PRINCIPLES OF THE ARCHITECTURAL ENVIRONMENT’S OBJECTS DESIGN." Structure and Environment 12, no. 3 (2020): 105–10. http://dx.doi.org/10.30540/sae-2020-011.

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The article discusses the methodological principles of typology and design of architectural environment’s objects with the analysis of its system-structural foundations. According to them, hierarchical levels of formation and stages of environmental systems and objects’ design are revealed with some examples of author’s designs. The research is based on systemic and environmental approaches that make it possible to view the architectural environment’s objects as hierarchically subordinate.
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Liao, C. T. "Orthogonal parallel-flats designs for hierarchical models." Statistics & Probability Letters 46, no. 4 (2000): 329–35. http://dx.doi.org/10.1016/s0167-7152(99)00119-4.

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Zhang, Ying, and Alice M. Agogino. "Hierarchical component-based representations for evolving microelectromechanical systems designs." Artificial Intelligence for Engineering Design, Analysis and Manufacturing 25, no. 1 (2010): 41–55. http://dx.doi.org/10.1017/s0890060410000168.

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AbstractIn this paper we present a genotype representation method for improving the performance of genetic-algorithm-based optimal design and synthesis of microelectromechanical systems. The genetic algorithm uses a hierarchical component-based genotype representation, which incorporates specific engineering knowledge into the design optimization process. Each microelectromechanical system component is represented by a gene with its own parameters defining its geometry and the way it can be modified from one generation to the next. The object-oriented genotype structures efficiently describe t
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Demian, Peter, and Renate Fruchter. "Finding and Understanding Reusable Designs from Large Hierarchical Repositories." Information Visualization 5, no. 1 (2006): 28–46. http://dx.doi.org/10.1057/palgrave.ivs.9500114.

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This paper describes a prototype called CoMem (Corporate Memory) that supports the finding and understanding of useful items in large hierarchical repositories. The particular domain is civil engineering design, and the prototype is designed specifically to support design reuse in building construction projects. However, the underlying visualization and interaction principals behind CoMem are generalizable to the ubiquitous task of finding and understanding useful information in large hierarchical repositories. To support the finding, the entire hierarchy is visualized using a squarified treem
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Dissertations / Theses on the topic "Hierarchical designs"

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Liu, Qing. "Optimal experimental designs for hyperparameter estimation in hierarchical linear models." Columbus, Ohio : Ohio State University, 2006. http://rave.ohiolink.edu/etdc/view?acc%5Fnum=osu1154042775.

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Lew, Ning. "A testing metric for designs modelled as hierarchical finite-state machines." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 2001. http://www.collectionscanada.ca/obj/s4/f2/dsk3/ftp04/MQ58476.pdf.

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Makris, Georgios. "Transparency-based hierarchical testability analysis and test generation for register transfer level designs /." Diss., Connect to a 24 p. preview or request complete full text in PDF format. Access restricted to UC campuses, 2001. http://wwwlib.umi.com/cr/ucsd/fullcit?p9997571.

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Mauri, Guiseppe. "Integrating safety analysis techniques, supporting identification of common cause failures." Thesis, University of York, 2000. http://etheses.whiterose.ac.uk/10906/.

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Agbi, Clarence. "Scalable and Robust Designs of Model - Based Control Strategies for Energy - Efficient Buildings." Research Showcase @ CMU, 2014. http://repository.cmu.edu/dissertations/333.

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In the wake of rising energy costs, there is a critical need for sustainable energy management of commercial and residential buildings. Buildings consume approximately 40% of total energy consumed in the US, and current methods to reduce this level of consumption include energy monitoring, smart sensing, and advanced integrated building control. However, the building industry has been slow to replace current PID and rule-based control strategies with more advanced strategies such as model-based building control. This is largely due to the additional cost of accurately modeling the dynamics of
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Prus, Maryna [Verfasser], and Rainer [Akademischer Betreuer] Schwabe. "Optimal designs for the prediction in hierarchical random coefficient regression models / Maryna Prus. Betreuer: Rainer Schwabe." Magdeburg : Universitätsbibliothek, 2015. http://d-nb.info/1078066485/34.

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Sánchez, Artigas Marc. "A hierarchical framework for peer-to peer systems: design and optimizations." Doctoral thesis, Universitat Pompeu Fabra, 2009. http://hdl.handle.net/10803/7551.

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En los últimos años, las redes peer-to-peer (P2P) ha experimentado una fuerte expansión. Estos sustratos se constituyen en forma de redes overlay o de recubrimiento que interconectan usuarios de manera lógica y desacoplada de la topología física, y que proporcionan un servicio descentralizado de búsqueda de recursos. Existen dos grandes familias de redes P2P descentralizadas: las redes P2P desestructuradas y las redes P2P estructuradas. Desde el punto de vista funcional, las redes estructuradas también se denominan Tablas de Hash Distribuidas (DHTs). Básicamente, las DHTs proporcionan la misma
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Mohagheghi, Salman. "Adaptive Critic Designs Based Neurocontrollers for Local and Wide Area Control of a Multimachine Power System with a Static Compensator." Diss., Georgia Institute of Technology, 2006. http://hdl.handle.net/1853/16216.

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Modern power systems operate much closer to their stability limits than before. With the introduction of highly sensitive industrial and residential loads, the loss of system stability becomes increasingly costly. Reinforcing the power grid by installing additional transmission lines, creating more complicated meshed networks and increasing the voltage level are among the effective, yet expensive solutions. An alternative approach is to improve the performance of the existing power system components by incorporating more intelligent control techniques. This can be achieved in two ways: introd
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Matos, Débora da Silva Motta. "Exploring hierarchy, adaptability and 3D in NoCs for the next generation of MPSoCs." reponame:Biblioteca Digital de Teses e Dissertações da UFRGS, 2014. http://hdl.handle.net/10183/94764.

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A demanda por sistemas com elevado desempenho tem trazido a necessidade de aumentar o número de elementos de processamento, surgindo os chamados Sistemas em Chip Multiprocessados (MPSoCs). Além disso, com a possibilidade de redução da escala tecnológica na era submicrônica, permitindo a integração de vários dispositivos, os chips têm se tornado ainda mais complexos. No entanto, com o aumento no número de elementos de processamento, as interconexões são vistas com o principal gargalo dos sistemas-em-chip. Com isso, uma preocupação na forma como tais elementos se comunicam e estão interconectado
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Shropshire, Kevin O'Neil. "Impact of Ignoring Nested Data Structures on Ability Estimation." Diss., Virginia Tech, 2014. http://hdl.handle.net/10919/64197.

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The literature is clear that intentional or unintentional clustering of data elements typically results in the inflation of the estimated standard error of fixed parameter estimates. This study is unique in that it examines the impact of multilevel data structures on subject ability which are random effect predictions known as empirical Bayes estimates in the one-parameter IRT / Rasch model. The literature on the impact of complex survey design on latent trait models is mixed and there is no "best practice" established regarding how to handle this situation. A simulation study was conducted
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Books on the topic "Hierarchical designs"

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Hierarchical object-oriented design. Prentice Hall, 1992.

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Burton, Richard M., and Børge Obel, eds. Design Models for Hierarchical Organizations. Springer US, 1995. http://dx.doi.org/10.1007/978-1-4615-2285-0.

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London), Hierarchical Object Oriented Design (HOOD) (1989. Hierarchical object oriented design (HOOD): Seminar. Unicom Seminars, 1991.

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Ravi, Varadarajan, ed. Leaf cell and hierarchical compaction techniques. Kluwer Academic Publishers, 1997.

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Bhattacharya, Debashis. Hierarchical Modeling for VLSI Circuit Testing. Springer US, 1990.

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Nes, Ir R. Design of multimodal transport networks: A hierarchical approach. DUP Science, 2002.

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Bamji, Cyrus. Leaf Cell and Hierarchical Compaction Techniques. Springer US, 1997.

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1931-, Saridis George N., ed. Design of intelligent control systems based on hierarchical stochastic automata. World Scientific, 1996.

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Moraes, Mark. A hierarchical VLSI design rule checker on an MIMD multiprocessor. National Library of Canada, 1990.

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Pióro, Michał. Design methods for non-hierarchical circuit switched networks with advanced routing. Wydawnictwa Politechniki Warszawskiej, 1989.

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Book chapters on the topic "Hierarchical designs"

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Berger, Paul, Robert Maurer, and Giovana B. Celli. "Nested, or Hierarchical, Designs." In Experimental Design. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-64583-4_7.

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Meier, W. "Hierarchical Design Rule Check for Full Custom Designs." In Esprit ’89. Springer Netherlands, 1989. http://dx.doi.org/10.1007/978-94-009-1063-8_11.

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Chan, Hing Kai, and Xiaojun Wang. "Fuzzy-ANP Approach for Environmental Risk Assessment of Product Designs." In Fuzzy Hierarchical Model for Risk Assessment. Springer London, 2013. http://dx.doi.org/10.1007/978-1-4471-5043-5_8.

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Chan, Hing Kai, and Xiaojun Wang. "Fuzzy AHP Approach for Analysing Risk Rating of Environmentally Friendly Product Designs." In Fuzzy Hierarchical Model for Risk Assessment. Springer London, 2013. http://dx.doi.org/10.1007/978-1-4471-5043-5_5.

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Diaz-Herrera, Jorge L. "Hierarchical modular diagrams: An approach to describe architectural designs." In Lecture Notes in Computer Science. Springer Berlin Heidelberg, 1996. http://dx.doi.org/10.1007/bfb0030526.

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Krupnova, Helena, and Gabriele Saucier. "Hierarchical Interactive Approach to Partition Large Designs into FPGAs." In Field Programmable Logic and Applications. Springer Berlin Heidelberg, 1999. http://dx.doi.org/10.1007/978-3-540-48302-1_11.

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Strug, Barbara. "Using Kernels on Hierarchical Graphs in Automatic Classification of Designs." In Graph-Based Representations in Pattern Recognition. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-20844-7_34.

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de la Puente, Juan Antonio, Alejandro Alonso, and Angel Alvarez. "Mapping HRT-HOOD® designs to Ada 95 hierarchical libraries." In Reliable Software Technologies — Ada-Europe '96. Springer Berlin Heidelberg, 1996. http://dx.doi.org/10.1007/bfb0013479.

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Zamani, M. Saheb, and G. R. Hellestrand. "A new neural network approach to the floorplanning of hierarchical VLSI designs." In Lecture Notes in Computer Science. Springer Berlin Heidelberg, 1995. http://dx.doi.org/10.1007/3-540-59497-3_294.

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Vinjamuri, Sudhir, and Viktor Prasanna. "Hierarchical Dependency Graphs: Abstraction and Methodology for Mapping Systolic Array Designs to Multicore Processors." In Lecture Notes in Computer Science. Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-03275-2_28.

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Conference papers on the topic "Hierarchical designs"

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Yoshimura, Masataka, and Kazuhiro Izui. "Smart Optimization of Machine Systems Using Hierarchical Genotype Representations." In ASME 1999 Design Engineering Technical Conferences. American Society of Mechanical Engineers, 1999. http://dx.doi.org/10.1115/detc99/dac-8631.

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Abstract Design problems for machine products are generally hierarchically expressed. With conventional product optimization methods, it is difficult to concurrently optimize all design variables of portions within the hierarchical structure. This paper proposes a design optimization method using genetic algorithms containing hierarchical genotype representations, so that the hierarchical structures of machine system designs are exactly expressed through genotype coding, and optimization can be concurrently conducted for all of the hierarchical structures. Crossover and mutation operations for
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Ali, Moayad, Sean Safarpour, Andreas Veneris, Magdy Abadir, and Rolf Drechsler. "Post-Verification Debugging of Hierarchical Designs." In 2005 Sixth International Workshop on Microprocessor Test and Verification. IEEE, 2005. http://dx.doi.org/10.1109/mtv.2005.18.

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Li, Shaomeng, R. Jordan Crouser, Garth Griffin, et al. "Exploring hierarchical visualization designs using phylogenetic trees." In IS&T/SPIE Electronic Imaging, edited by David L. Kao, Ming C. Hao, Mark A. Livingston, and Thomas Wischgoll. SPIE, 2015. http://dx.doi.org/10.1117/12.2078857.

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Kamali, Maryam, Luigia Petre, Kaisa Sere, and Masoud Daneshtalab. "CorreComm: A formal hierarchical framework for communication designs." In 2011 IEEE 2nd International Conference on Networked Embedded Systems for Enterprise Applications (NESEA). IEEE, 2011. http://dx.doi.org/10.1109/nesea.2011.6144950.

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Li, Guoliang, Jun Qian, Qinfu Yang, et al. "Hybrid Hierarchical and Modular Tests for SoC Designs." In 2015 IEEE 24th North Atlantic Test Workshop (NATW). IEEE, 2015. http://dx.doi.org/10.1109/natw.2015.9.

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Ko, Ho Fai, Qiang Xu, and Nicola Nicolici. "Register-transfer level functional scan for hierarchical designs." In the 2005 conference. ACM Press, 2005. http://dx.doi.org/10.1145/1120725.1120933.

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Yoshimura, Masataka, Kazuhiro Izui, and Shigeaki Komori. "Optimization of Machine System Designs Using Hierarchical Decomposition Based on Criteria Influence." In ASME 2002 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2002. http://dx.doi.org/10.1115/detc2002/dac-34042.

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Machine product designs routinely have so many mutually related characteristics that common design optimization methods often result in an unsatisfactory local optimum solution. In order to overcome this problem, this paper proposes a design optimization method based on the clarification of the conflicting and cooperative relationships among the characteristics. First of all, each performance characteristic is divided into simpler basic characteristics according to its structure. Next, the relationships among the basic characteristics are systematically identified and clarified. Then, based on
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Hsu, Meng-Kai, Yi-Fang Chen, Chau-Chin Huang, Tung-Chieh Chen, and Yao-Wen Chang. "Routability-driven placement for hierarchical mixed-size circuit designs." In the 50th Annual Design Automation Conference. ACM Press, 2013. http://dx.doi.org/10.1145/2463209.2488921.

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Yoshimura, Masataka, and Shin Kikuchi. "Optimization of Machine Product Designs From Deeper Level Characteristics Using Collaboration Theory Concepts." In ASME 2009 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2009. http://dx.doi.org/10.1115/detc2009-86928.

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Successfully optimization of product designs calls for the continuous evolution of optimized design solutions, which is best achieved by collaboration among a group of experts who understand the intricacies of the product’s characteristics. The achievement of successful collaborations depends on optimization methodologies that focus on design characteristics located at deeper levels of hierarchically decomposed design problems, and the construction of optimization scenarios that have an explicit goal of maximizing the expected profits that result from the collaboration. This paper proposes met
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Sudhakaran, Sreejith, Wah Man Cheung, Klaus D. McDonald-Maier, and Gareth Howells. "UML based hierarchical state diagram approach for protocol designs." In 2010 2nd Computer Science and Electronic Engineering Conference (CEEC). IEEE, 2010. http://dx.doi.org/10.1109/ceec.2010.5606496.

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Reports on the topic "Hierarchical designs"

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Sastry, S. S. Design of Hierarchical, Adaptive Control Systems. Defense Technical Information Center, 2000. http://dx.doi.org/10.21236/ada384430.

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Tomlin, Claire J. Software Enabled Control. Design of Hierarchical, Hybrid Systems. Defense Technical Information Center, 2005. http://dx.doi.org/10.21236/ada435200.

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Turowski, M., A. Przekwas, R. Tramel, H. Q. Yang, and H. Ding. Opto-Electronic and Interconnects Hierarchical Design Automation System (OE-IDEAS). Defense Technical Information Center, 2004. http://dx.doi.org/10.21236/ada423982.

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Buehler, Markus J. Multi-Scale Hierarchical and Topological Design of Structures for Failure Resistance. Defense Technical Information Center, 2013. http://dx.doi.org/10.21236/ada606678.

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How, Jonathan P., Steven R. Hall, and Edward F. Crawley. Local Design Methodologies for a Hierarchic Control Architecture. Defense Technical Information Center, 1990. http://dx.doi.org/10.21236/ada222006.

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Lin, Zhiqun, Mufit Akinc, Xiaoli Tan, and Nicola Bowler. Design and Development of Novel Hierarchically Ordered Block Copolymer-Magnetoelectric Particle Nanocomposites. Defense Technical Information Center, 2012. http://dx.doi.org/10.21236/ada582280.

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Kumar, Ratnesh, and Lawrence E. Holloway. DEPSCOR: Research on ARL's Intelligent Control Architecture: Hierarchical Hybrid-Model Based Design, Verification, Simulation, and Synthesis of Mission Control for Autonomous Underwater Vehicles. Defense Technical Information Center, 2007. http://dx.doi.org/10.21236/ada464977.

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Guo, Ruilan. Design, Synthesis and Characterization of Triptycene-Containing Macromolecules with Hierarchically Controlled Architectures as Functional Membrane Materials for Energy Applications. Office of Scientific and Technical Information (OSTI), 2019. http://dx.doi.org/10.2172/1499993.

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Romero, Vicente Jose. Elements of a pragmatic approach for dealing with bias and uncertainty in experiments through predictions : experiment design and data conditioning; %22real space%22 model validation and conditioning; hierarchical modeling and extrapolative prediction. Office of Scientific and Technical Information (OSTI), 2011. http://dx.doi.org/10.2172/1031304.

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Wells, Aaron, Tracy Christopherson, Gerald Frost, et al. Ecological land survey and soils inventory for Katmai National Park and Preserve, 2016–2017. National Park Service, 2021. http://dx.doi.org/10.36967/nrr-2287466.

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This study was conducted to inventory, classify, and map soils and vegetation within the ecosystems of Katmai National Park and Preserve (KATM) using an ecological land survey (ELS) approach. The ecosystem classes identified in the ELS effort were mapped across the park, using an archive of Geo-graphic Information System (GIS) and Remote Sensing (RS) datasets pertaining to land cover, topography, surficial geology, and glacial history. The description and mapping of the landform-vegetation-soil relationships identified in the ELS work provides tools to support the design and implementation of
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