Relevant bibliographies by topics / Micro-models

Academic literature on the topic 'Micro-models'

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Published: 14 March 2023

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Journal articles on the topic "Micro-models"

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Maske, Ms Swapnali S. "Wireless Micro-Sensor Network Models." IOSR Journal of Computer Engineering 6, no. 3 (2012): 09–14. http://dx.doi.org/10.9790/0661-0630914.

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Glenn, Floyd. "The Case for Micro-models." Proceedings of the Human Factors Society Annual Meeting 33, no. 18 (October 1989): 1228–32. http://dx.doi.org/10.1177/154193128903301813.

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This paper examines the appropriate role of human performance micro-models in simulations of human-machine system operations. Requirements for general human micro-models are considered relative to the objectives of simulation studies, the conditions under which simulations are constructed and used, the status of human performance data bases and models, and the features provided with general-purpose simulation software. This investigation focuses particularly on a new simulation tool for simulating human-machine systems; it is known as the Human Operator Simulator – Version V (HOS-V). A general design principle of HOS-V has been to provide embedded human performance micro-models for the basic performance processes that seem most pervasive and interactive with other processes. These include representations for processes of body movement, cognition, and attention. Key to these representations are the substructures in each area. Body movement models describe locations of body parts and constraints on their movement. Cognition models describe how the human processes information through perception, memory, decision-making, and action initiation. The attention model describes how a limited attentional resource is allocated to the various body movement and cognition processes, each of which has a defined attentional requirement. Plans for implementation of micro-model components of HOS-V are discussed.
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Kowerski, Mieczysław, Jarosław Bielak, and Mariusz Poninkiewicz. "Financial micro-macro qualitative response models." Annales Universitatis Mariae Curie-Skłodowska, sectio H, Oeconomia 48, no. 3 (January 16, 2015): 167. http://dx.doi.org/10.17951/h.2015.48.3.167.

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Paarsch, Harry J. "Micro-Economic Models of Beef Supply." Canadian Journal of Economics 18, no. 3 (August 1985): 636. http://dx.doi.org/10.2307/135025.

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C., D., J. Stillwell, and J. Congdon. "Migration Models: Macro and Micro Approaches." Population (French Edition) 47, no. 3 (May 1992): 795. http://dx.doi.org/10.2307/1533753.

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Wagner, Michael. "Migration Models: Macro and Micro Approaches." Population Studies 47, no. 2 (July 1, 1993): 375–77. http://dx.doi.org/10.1080/0032472031000147186.

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Perera, A., R. Mazighi, B. Kežić-Lovrincević, and N. P. Pham. "Mixture models with weak micro-heterogeneity." Molecular Physics 112, no. 9-10 (March 3, 2014): 1262–72. http://dx.doi.org/10.1080/00268976.2014.889859.

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Federico, S., and W. Herzog. "Micro-structural models of articular cartilage." Journal of Biomechanics 39 (January 2006): S407. http://dx.doi.org/10.1016/s0021-9290(06)84652-x.

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Ronning, Gerd. "Microeconometric models and anonymized micro data." Allgemeines Statistisches Archiv 90, no. 1 (March 2006): 153–66. http://dx.doi.org/10.1007/s10182-006-0227-z.

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Jurado, Francisco. "Modelling micro-turbines using Hammerstein models." International Journal of Energy Research 29, no. 9 (2005): 841–55. http://dx.doi.org/10.1002/er.1102.

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Dissertations / Theses on the topic "Micro-models"

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Winkelmann, Christopher Todd. "Micro-imaging characterization of mouse models of metastasis." Diss., Columbia, Mo. : University of Missouri-Columbia, 2005. http://hdl.handle.net/10355/5820.

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Thesis (Ph. D.)--University of Missouri-Columbia, 2005.
The entire dissertation/thesis text is included in the research.pdf file; the official abstract appears in the short.pdf file (which also appears in the research.pdf); a non-technical general description, or public abstract, appears in the public.pdf file. Vita. "December 2005" Includes bibliographical references.
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Boehnke, Jasper. "Business models for Micro CHP in residential buildings." kostenfrei, 2007. http://www.unisg.ch/www/edis.nsf/wwwDisplayIdentifier/3375.

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Hejkal, Filip. "Micro-economic Models and their Validity - comparison of the models with the real situation." Master's thesis, Vysoká škola ekonomická v Praze, 2007. http://www.nusl.cz/ntk/nusl-10175.

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Mosler, Gioia. "Micro-environmental models of human exposure to air pollution." Thesis, Imperial College London, 2014. http://hdl.handle.net/10044/1/25087.

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Particulate air pollution (PM) has been shown by many studies to cause adverse health effects. Traditionally PM exposure was estimated using ambient concentrations. Lately, studies have revealed that this approach poorly reflects differences between individual's exposures and as such results in exposure misclassification. This thesis aims to improve personal exposure predictions by building a model (MEPEX model), which takes into account the temporal and spatial variability of ambient PM, as well as visited microenvironments. For the composition of this model, existing approaches for model components were evaluated, compared and developed. A temporally adjusted land-use regression (LUR-adj) model for predictions of ambient PM2.5 and PM10 was built, validated, and compared to estimates from a dispersion model. Ratios were developed to adjust ambient concentrations for cycling and in-bus transport microenvironments. Additionally, modelling approaches for the home indoor microenvironment were compared, using monitoring data. A secondary aim was to evaluate the performance of different approaches for personal exposure assessment by comparing varying levels of model sophistication. Validation of the LUR-adj model showed good model fit (IA > 0.5) and low error (NMSE < 1) for short-term predictions of PM2.5 and PM10 at locations in London. In comparison to predictions of a dispersion model (ADMS-urban), LUR-adj estimates of PM10 produced better results for model performance parameters at the majority of 26 predicted locations. MEPEX model predictions of monitored daily personal exposure for an individual in London resulted in an R2 of 0.439 for PM2.5 and 0.403 for PM10. Predictions using modelled home outdoor concentrations in comparison were lower with R2 of 0.173 for PM2.5 and 0.086 for PM10. These results provide the first quantifiable evidence that personal exposure models of PM2.5 and PM10 can reduce exposure misclassification compared to estimates based only on ambient PM.
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DELFINO, EMANUELA. "Exploring micro-Electrocorticographic Signals: from Animal Models to Humans." Doctoral thesis, Università degli studi di Ferrara, 2020. http://hdl.handle.net/11392/2488155.

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Electrocorticography (ECoG) is a neural recording technique employed in both clinical and research fields characterized by a relatively high spatiotemporal resolution. ECoG has an extremely low susceptibility to noise and motion artefacts when compared to other techniques, e.g., Electroencephalography (EEG). Recently, the possibility of decoding speech from ECoG signals has been investigated with promising results, profoundly advancing the clinical viability of using speech-related Brain-Computer Interfaces to restore communication. Speech neuroprosthetic devices aim to improve the quality of life of people suffering from communication deficits because of locked-in syndrome (LIS) or other serious motor disabilities. In such patients, vocalization might not be possible due to severe paralysis, even though language areas are still intact. However, two technical aspects shall be improved before researchers could start clinical trials in patient populations. The first key improvement regards the tolerability of chronic ECoG implants. Standard ECoG grids cover different brain areas recruited in language processing, which is considered an advantage for speech decoding. However, their employment requires invasive procedures due to the large size of the grid, while its stiffness can lead to inflammatory response. One critical improvement could involve flexible high-density micro-grids directly placed over eloquent areas. The second key improvement of the current approaches goes beyond the technical implantation limits. To make use of the promising results obtained in speech decoding from neuronal signals for neuroprosthetic applications, more attention should be paid to the feasibility of their use in a natural setting, e.g. communication deficits. One critical issue in the development of assistive devices is the lack of detectable speech-related events to control the decoding. Detecting speech-related motor intentions would represent a fundamental step toward speech neuroprosthetics. In fact, this achievement could function as trigger to start the decoding whenever an explicit alignment is not possible (e.g. the case of covert speech). As the vocal cue is employed to start the most common virtual assistants (e.g. Google Assistant, Alexa, Siri), a neuronal cue to activate the speech decoder is fundamental in application for patients unable to speak. Firstly, a new generation of devices known as micro-ECoG (μECoG, electrode pitch below 1 mm) arrays was tested in rats to determine the best recording configuration in terms of reference and ground connections, Single-Ended Screw (without reference), Differential or Single-Ended Reference (with reference). Afterwards, two ultra-conformable polyimide-based μECoG arrays (afterwards referred to as MuSA and CaLEAF) were validated with the best recording configuration, in order to test whether all the electrodes could record the high-frequency components of the evoked responses independently from their geometry. Finally, two μECoG arrays were acutely implanted in a human patient undergoing awake neurosurgery for tumor resection (low-grade glioma), to investigate speech production processes in speech-related cortical regions. Neural signals recorded were characterised by different and well-defined time-frequency components, time-locked to speech production. The results of this work provide new insights into the understanding of the complex and still unclear neural processes behind speech production with a spatial resolution never reached before in cortical recordings. The μECoG data provide valuable information at a very high spatiotemporal resolution, which could have important implications for the design of speech Brain-Computer Interface.
L’elettocorticografia (ECoG) è una tecnica di registrazione delle variazioni nell’attività nervosa utilizzata sia in clinica sia nell’ambito della ricerca scientifica, caratterizzata da un’alta risoluzione spazio-temporale. In studi recenti, sono state esplorate diverse strategie al fine di decodificare il linguaggio a partire da segnali elettrocorticografici, con risultati altamente promettenti. Tuttavia, molteplici aspetti della sintesi del linguaggio a partire dall’attività cerebrale devono essere migliorati prima di intraprendere la sfida dei trial clinici. Il primo aspetto che potrebbe essere migliorato riguarda la tollerabilità dell’impianto in cronico. L’utilizzo dell’ECoG standard costituisce un vantaggio nella decodifica del linguaggio, per la sua capacità di coprire diverse aree coinvolte nella produzione del linguaggio; tuttavia, questo aspetto è anche uno dei suoi più grandi svantaggi. Infatti, la procedura standard di impianto delle matrici ECoG richiede operazioni chirurgiche invasive, a causa della loro dimensione. Un nuovo approccio basato su matrici ad alta densità di micro-elettrodi posizionate direttamente sulla zona di interesse potrebbe massimizzare la specificità del segnale registrato. Inoltre, l’uso di materiali conformabili minimizzerebbe il rischio di danno alla corteccia e di morte neuronale per reazioni infiammatorie. Il secondo aspetto che potrebbe essere migliorato è dovuto alla necessità di progettare neuro-protesi per la codifica e la decodifica del linguaggio implicito a partire da segnali neurali. L’obiettivo di questi sistemi è di migliorare la qualità della vita di pazienti affetti da sindromi locked-in (LIS). In tali pazienti, la vocalizzazione è resa impossibile da gravi paralisi, nonostante la capacità di generare il linguaggio a livello corticale sia essere ancora intatta. Un miglioramento chiave nello sviluppo di neuroprotesi per il linguaggio consisterebbe nell’implementare un sistema di trigger per la decodifica del linguaggio, basato su segnali neurali registrati in aree coinvolte nella produzione. Una volta determinata la configurazione ottimale per la registrazione dei segnali in vivo su ratti Long Evans in termini di configurazioni elettriche di reference e ground, Single-Ended-Screw (senza reference), Differential o Single-Ended-Reference (con reference), è stato possibile traslare la conoscenza sull’uomo. La miglior configurazione validata in vivo è stata anche testata durante un esperimento condotto su un paziente sottoposto alla rimozione chirurgica di un glioma. Durante l’esperimento sono stati testati due dispositivi μECoG, appoggiati su un’area eloquente nota come speech arrest. Il soggetto durante l’esperimento ha eseguito un compito di denominazione di oggetti per un totale di trenta ripetizioni per dispositivo. Le features estratte dall’analisi tempo-frequenza in diverse bande sono state usate per addestrare un classificatore al riconoscimento della fase preparatoria del linguaggio. I segnali registrati mostrano pattern temporalmente specifici nelle diverse bande di frequenza di interesse (15-30 Hz, 30-60 Hz, 70-150 Hz). In particolare, l’attività anticipatoria nella banda del gamma alto ha permesso di predire con elevata accuratezza le fasi preparatorie del linguaggio. Tale scoperta potrebbe essere integrata in neuro-protesi per il linguaggio, come trigger per iniziare la decodifica quando non è possibile misurare un evento esplicito. I risultati di questa tesi forniscono nuove prospettive per la comprensione di processi complessi e ancora poco chiari come la produzione del linguaggio.
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Cribäck, Kevin. "Micro payments : Viable technical platforms and models for a bankto provide payments on micro amounts." Thesis, Uppsala universitet, Analys och sannolikhetsteori, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-354933.

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Ying, Guanwen. "Efficient Harmonic Simulations of Trabecular Bone Micro Finite Element Models." Thesis, Uppsala University, Department of Information Technology, 2009. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-103037.

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The background problem is the disease of osteoporosis, which is caused by loss of bone mineral density and deterioration of bone micro-architecture. There are several problems of interest, related to the osteoporosis disease. One straightforward question to answer is whether a given bone tissue can withstood a particular load. Another question of big importance for a physician is what is the effect of a particular medical treatment, whether the medication has lead to increase of bone mass and where. Of no less importance is to study and compare the efficiency of various methods to improve the strength of the bone tissue with respect to load. According to recent research, there is evidence that applying a harmonic force with very small magnitude and proper frequency to human bone tissue can prevent or even reversethe disease. Thus, it is important to examine how bone responds to harmonic forces.

Practice has shown that in order to study a phenomenon such as the behaviour of human bone tissue under load, we have to use numerical simulations performed on a computer. Numerical simulations, in turn require:1. a good mathematical model to describe the underlying physical process,2. accurate numerical discretization techniques,3. efficient and reliable numerical solution methods to solve the algebraic systems of equations which arise after discretization,4. adequate program implementation to enable fast and scalable execution of the tasks, defined by the numerical solution.

This thesis includes a description of mathematical modeling and finite elementdiscretization. Suitable numerical algorithms to solve the arising linear systems are described and analysed, and numerical results for various benchmark problems are presented, compared and analysed.

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Calegari, Roberta <1982&gt. "Micro-intelligence for the IoT: logic-based models and technologies." Doctoral thesis, Alma Mater Studiorum - Università di Bologna, 2018. http://amsdottorato.unibo.it/8521/1/RC-thesis.pdf.

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Computing is moving towards pervasive, ubiquitous environments in which devices, software agents and services are all expected to seamlessly integrate and cooperate in support of human objectives. An important next step for pervasive computing is the integration of intelligent agents that employ knowledge and reasoning to understand the local context and share this information in support of intelligent applications and interfaces. Such scenarios, characterised by "computation everywhere around us", require on the one hand software components with intelligent behaviour in terms of objectives and context, and on the other their integration so as to produce social intelligence. Logic Programming (LP) has been recognised as a natural paradigm for addressing the needs of distributed intelligence. Yet, the development of novel architectures, in particular in the context Internet of Things (IoT), and the emergence of new domains and potential applications, are creating new research opportunities where LP could be exploited, when suitably coupled with agent technologies and methods so that it can fully develop its potential in the new context. In particular, the LP and its extensions can act as micro-intelligence sources for the IoT world, both at the individual and the social level, provided that they are reconsidered in a renewed architectural vision. Such micro-intelligence sources could deal with the local knowledge of the devices taking into account the domain specificity of each environment. The goal of this thesis is to re-contextualise LP and its extensions in these new domains as a source of micro-intelligence for the IoT world, envisioning a large number of small computational units distributed and situated in the environment, thus promoting the local exploitation of symbolic languages with inference capabilities. The topic is explored in depth and the effectiveness of novel LP models and architectures -and of the corresponding technology- expressing the concept of micro-intelligence is tested.
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Mizzi, Simon. "Extended macroscopic models for rarefied gas dynamics in micro-sized domains." Thesis, University of Strathclyde, 2009. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.501879.

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Medikonda, Sandeep. "Micro-Mechanical Models for Impact and Non-Local Averaging in Composites." University of Cincinnati / OhioLINK, 2018. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1522419945945237.

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Books on the topic "Micro-models"

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Goldsack, Gaby. Gladiator spinners: Micro models. New York: Tangerine Press, 2003.

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Stillwell, John C. H. 1952- and Congdon P, eds. Migration models: Macro and micro approaches. London: Belhaven Press, 1991.

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Crawford, Allan. Downward nominal-wage rigidity: Micro evidence from Tobit models. Ottawa, Ont: Bank of Canada, 2001.

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Crawford, Allan. Downward nominal-wage rigidity: Micro evidence from Tobit models. Ottawa: Bank of Canada, 2001.

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Brillet, Jean Louis. Le modèle Micro-DMS. Paris: République française, Institut national de la statistiques et des études économiques, Direction générale, 1994.

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M, Smith Stephen, ed. Amish micro-enterprises: Models for rural development : final report. University Park, PA: Pennsylvania State University, College of Agricultural Sciences, Department of Agricultural Economics and Rural Sociology, 1994.

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T, Levin Andrew, and National Bureau of Economic Research., eds. Monetary policy under uncertainty in micro-founded macroeconometric models. Cambridge, MA: National Bureau of Economic Research, 2005.

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Puppo, Gabriella, and Andrea Tosin, eds. Mathematical Descriptions of Traffic Flow: Micro, Macro and Kinetic Models. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-66560-9.

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Xiaoping, Shi, ed. Wei xing fei xing qi jian mo yu kong zhi: Modeling and control of micro air vehicle. Beijing: Ke xue chu ban she, 2012.

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Microeconomics: An intuitive approach with calculus. Mason, Ohio: South-Western Cengage Learning, 2011.

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Book chapters on the topic "Micro-models"

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Ostoja-Starzewski, M. "Models: Micro-Macro." In Probabilities and Materials, 23–28. Dordrecht: Springer Netherlands, 1994. http://dx.doi.org/10.1007/978-94-011-1142-3_4.

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Herbst, Eric. "Micro-Monte-Carlo Models." In Encyclopedia of Astrobiology, 1–2. Berlin, Heidelberg: Springer Berlin Heidelberg, 2018. http://dx.doi.org/10.1007/978-3-642-27833-4_5389-1.

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D’Apice, Vincenzo, and Giovanni Ferri. "Micro Models of Financial Crises." In Financial Instability, 25–28. London: Palgrave Macmillan UK, 2010. http://dx.doi.org/10.1057/9780230297111_4.

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Holm, Einar, and Kalle Mäkilä. "Design Principles for Micro Models." In Spatial Microsimulation: A Reference Guide for Users, 195–207. Dordrecht: Springer Netherlands, 2012. http://dx.doi.org/10.1007/978-94-007-4623-7_12.

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Staroszczyk, Ryszard. "Micro-mechanical Models for Polar Ice." In GeoPlanet: Earth and Planetary Sciences, 167–218. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-03038-4_6.

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Nicolau, Josep Miró. "Neural micro-structures three simple models." In Lecture Notes in Computer Science, 69–75. Berlin, Heidelberg: Springer Berlin Heidelberg, 1995. http://dx.doi.org/10.1007/3-540-59497-3_158.

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Lay, Jann. "Micro-econometric and Micro-Macro Linked Models: Sequential Macro-Micro Modelling with Behavioral Microsimulations." In Advances in African Economic, Social and Political Development, 117–36. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-60714-6_6.

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Haag, Günter. "Spatial Interaction Models and their Micro-Foundation." In Dynamic Decision Theory, 165–90. Dordrecht: Springer Netherlands, 1989. http://dx.doi.org/10.1007/978-94-009-0939-7_7.

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Montgomery, Alan L. "Hierarchical Bayes Models for Micro-Marketing Strategies." In Case Studies in Bayesian Statistics, 95–153. New York, NY: Springer New York, 1997. http://dx.doi.org/10.1007/978-1-4612-2290-3_3.

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Sacco, Elio. "Micro, Multiscale and Macro Models for Masonry Structures." In Mechanics of Masonry Structures, 241–91. Vienna: Springer Vienna, 2014. http://dx.doi.org/10.1007/978-3-7091-1774-3_6.

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Conference papers on the topic "Micro-models"

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Islam, Muhammad Asiful, Ramakrishnan Srikant, and Sugato Basu. "Micro-Browsing Models for Search Snippets." In 2019 IEEE 35th International Conference on Data Engineering (ICDE). IEEE, 2019. http://dx.doi.org/10.1109/icde.2019.00206.

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Gaines, R. A., and R. H. Smith. "Micro-Scale Loose-Bed Physical Models." In Hydraulic Measurements and Experimental Methods Specialty Conference (HMEM) 2002. Reston, VA: American Society of Civil Engineers, 2002. http://dx.doi.org/10.1061/40655(2002)78.

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Ahokangas, Petri, Marja Matinmikko-Blue, Seppo Yrjola, Veikko Seppanen, Heikki Hammainen, Risto Jurva, and Matti Latva-aho. "Business Models for Local 5G Micro Operators." In 2018 IEEE International Symposium on Dynamic Spectrum Access Networks (DySPAN). IEEE, 2018. http://dx.doi.org/10.1109/dyspan.2018.8610462.

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Adams, George G. "Asperity-Based Models of Micro-Scale Friction." In World Tribology Congress III. ASMEDC, 2005. http://dx.doi.org/10.1115/wtc2005-64386.

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As surfaces become smoother and loading forces decrease in applications such as MEMS, NEMS, and magnetic recording devices, the size and number of the asperity contacts which comprise the real contact area continues to decrease. The tangential force which is measured between two sliding bodies is the combined result of friction forces which are present in a very large number of nano and micro scale asperity contacts. Recent experiments as well as modeling have shown considerable scale-dependence and nonlinear load-dependence of the friction force. These models will be reviewed and discussed.
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Max, D. Wayne, Dave C. Gordon, and R. A. Gaines. "Operation and Calibration Procedures for Micro-Models." In Hydraulic Measurements and Experimental Methods Specialty Conference (HMEM) 2002. Reston, VA: American Society of Civil Engineers, 2002. http://dx.doi.org/10.1061/40655(2002)79.

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Sridharan, Srinivasan, Virendra Jadhav, Srinivasan Sridharan, and Virendra Jadhav. "A comparative study of micro-models and micro-mechanics based bifurcation analysis." In 38th Structures, Structural Dynamics, and Materials Conference. Reston, Virigina: American Institute of Aeronautics and Astronautics, 1997. http://dx.doi.org/10.2514/6.1997-1176.

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YURKANIN, DAVID. "Micro-physical models for simulating realistic ice accretions." In 31st Aerospace Sciences Meeting. Reston, Virigina: American Institute of Aeronautics and Astronautics, 1993. http://dx.doi.org/10.2514/6.1993-25.

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Lasseter, R. "Dynamic models for micro-turbines and fuel cells." In Proceedings of Power Engineering Society Summer Meeting. IEEE, 2001. http://dx.doi.org/10.1109/pess.2001.970143.

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Landis, Chad M., Jianxin Wang, and Jianshun Sheng. "Micro-electromechanically informed phenomenological constitutive models for ferroelectrics." In Smart Structures and Materials, edited by Dimitris C. Lagoudas. SPIE, 2003. http://dx.doi.org/10.1117/12.484198.

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Iwasawa, Shun, Naohiro Shichijo, and Yoichiro Kawaguchi. "Rendering methods for models with complicated micro structures." In ACM SIGGRAPH 2004 Posters. New York, New York, USA: ACM Press, 2004. http://dx.doi.org/10.1145/1186415.1186436.

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Reports on the topic "Micro-models"

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Levin, Andrew, Alexei Onatski, John Williams, and Noah Williams. Monetary Policy Under Uncertainty in Micro-Founded Macroeconometric Models. Cambridge, MA: National Bureau of Economic Research, August 2005. http://dx.doi.org/10.3386/w11523.

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Weston, Peter, Wakar Kalhoro, Eric Lockhart, Timothy J. Reber, and Samuel S. Booth. Financial and Operational Bundling Strategies for Sustainable Micro-Grid Business Models. Office of Scientific and Technical Information (OSTI), December 2018. http://dx.doi.org/10.2172/1488511.

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Rowley, Clarence W. Unsteady Aerodynamic Models for Flight Control of Agile Micro Air Vehicles. Fort Belvoir, VA: Defense Technical Information Center, August 2010. http://dx.doi.org/10.21236/ada547432.

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Rowley, Clancy. Unsteady Aerodynamic Models for Flight Control of Agile Micro Air Vehicles. Fort Belvoir, VA: Defense Technical Information Center, January 2008. http://dx.doi.org/10.21236/ada476708.

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Saito, Kazumi. Learnable Models for Information Diffusion and its Associated User Behavior in Micro-blogosphere. Fort Belvoir, VA: Defense Technical Information Center, August 2012. http://dx.doi.org/10.21236/ada578681.

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Levin, Deborah. Development of Models and Computational Tools for the Study of Space-Based Micro Propulsion Systems. Fort Belvoir, VA: Defense Technical Information Center, July 2006. http://dx.doi.org/10.21236/ada450943.

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Levin, Deborah A. Development of Models and Computational Tools for the Study of Space-Based Micro Propulsion Systems. Fort Belvoir, VA: Defense Technical Information Center, December 2004. http://dx.doi.org/10.21236/ada430844.

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Tadmor, Gilead. Design Models and Model Based Design in Fluid Flow With Application to Micro Air Vehicles. Fort Belvoir, VA: Defense Technical Information Center, March 2009. http://dx.doi.org/10.21236/ada572450.

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McBride, Cory L., Victor R. Yarberry, Rodney Cannon Schmidt, and Ray J. Meyers. SummitView 1.0: a code to automatically generate 3D solid models of surface micro-machining based MEMS designs. Office of Scientific and Technical Information (OSTI), November 2006. http://dx.doi.org/10.2172/899720.

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Blundell, S. Micro-terrain and canopy feature extraction by breakline and differencing analysis of gridded elevation models : identifying terrain model discontinuities with application to off-road mobility modeling. Engineer Research and Development Center (U.S.), April 2021. http://dx.doi.org/10.21079/11681/40185.

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Abstract:
Elevation models derived from high-resolution airborne lidar scanners provide an added dimension for identification and extraction of micro-terrain features characterized by topographic discontinuities or breaklines. Gridded digital surface models created from first-return lidar pulses are often combined with lidar-derived bare-earth models to extract vegetation features by model differencing. However, vegetative canopy can also be extracted from the digital surface model alone through breakline analysis by taking advantage of the fine-scale changes in slope that are detectable in high-resolution elevation models of canopy. The identification and mapping of canopy cover and micro-terrain features in areas of sparse vegetation is demonstrated with an elevation model for a region of western Montana, using algorithms for breaklines, elevation differencing, slope, terrain ruggedness, and breakline gradient direction. These algorithms were created at the U.S. Army Engineer Research Center – Geospatial Research Laboratory (ERDC-GRL) and can be accessed through an in-house tool constructed in the ENVI/IDL environment. After breakline processing, products from these algorithms are brought into a Geographic Information System as analytical layers and applied to a mobility routing model, demonstrating the effect of breaklines as obstacles in the calculation of optimal, off-road routes. Elevation model breakline analysis can serve as significant added value to micro-terrain feature and canopy mapping, obstacle identification, and route planning.
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