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Relevant bibliographies by topics / Classification de types de pieds

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Academic literature on the topic 'Classification de types de pieds'

Author: Grafiati

Published: 4 June 2021

Last updated: 16 February 2022

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Journal articles on the topic "Classification de types de pieds"

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Gu, Xiaohua, Tian Wang, Jun Peng, Hongjin Wang, Qinfeng Xia, and Du Zhang. "Event Detection and Classification for Fiber Optic Perimeter Intrusion Detection System." International Journal of Cognitive Informatics and Natural Intelligence 13, no. 4 (October 2019): 39–55. http://dx.doi.org/10.4018/ijcini.2019100102.

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A perimeter intrusion detection system (PIDS) is critical for the security of a shale gas field. Among many technologies, the fiber optic sensor-based method is the most widely used, due to its passive, low-cost, long-life, and strong anti-interference ability and strong environmental adaptability. This article proposes an event detection and classification method for a fiber optic PIDS. In general, three types of features are extracted for an improved double-threshold method to improve the probability of detection. Also, the detected intrusion events are distinguished by a support vector machine with wavelet features to reduce the nuisance alarm rate. Experiments on the PIDS in Chongqing Fuling's shale gas field show that detection algorithms based on the feature of short-time energy and short-time wavelet coefficient energy are much better, and the performance of event classification is satisfactory.

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Golabek, K. A., and A. N. Radford. "Chorus-call classification in the southern pied babbler: multiple call types given in overlapping contexts." Behaviour 150, no. 7 (2013): 691. http://dx.doi.org/10.1163/1568539x-00003074.

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Murtiyoso, A., and P. Grussenmeyer. "AUTOMATIC HERITAGE BUILDING POINT CLOUD SEGMENTATION AND CLASSIFICATION USING GEOMETRICAL RULES." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-2/W15 (August 23, 2019): 821–27. http://dx.doi.org/10.5194/isprs-archives-xlii-2-w15-821-2019.

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<p><strong>Abstract.</strong> The segmentation of a point cloud presents an important step in the 3D modelling process of heritage structures. This is true in many scale levels, including the segmentation, identification, and classification of architectural elements from the point cloud of a building. In this regard, historical buildings often present complex elements which render the 3D modelling process longer when performed manually. The aim of this paper is to explore approaches based on certain common geometric rules in order to segment, identify, and classify point clouds into architectural elements. In particular, the detection of attics and structural supports (i.e. columns and piers) will be addressed. Results show that the developed algorithm manages to detect supports in three separate data sets representing three different types of architecture. The algorithm also managed to identify the type of support and divide them into two groups: columns and piers. Overall, the developed method provides a fast and simple approach to classify point clouds automatically into several classes, with a mean success rate of 81.61&thinsp;% and median success rate of 85.61&thinsp% for three tested data sets.</p>

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Charles, Cathy, and Corinne Schalm. "Alberta's Resident Classification System for Long-Term Care Facilities. Part II: First-Year Results and Policy Implications." Canadian Journal on Aging / La Revue canadienne du vieillissement 11, no. 3 (1992): 233–48. http://dx.doi.org/10.1017/s0714980800011466.

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RÉSUMÉEn 1988, le gouvernement de l'Alberta mettait sur pied un nouveau système de classification des résidents de l'Alberta pour mesurer les besoins en soins des personnes résidantes dans les établissements de soins prolongés de la Province et pour fournir des informations sur la fréquence relative des différents types de cas, en prévision d'un nouveau système de financement. Cet article présente les résultats de la première entreprise de classification menée à la grandeur de la province et incluant des données sur les centres d'accueil et les hôpitaux auxiliaires. Ces résultats portent sur la répartition des résidents par indicateurs de classification et par catégories. Les résultats indiquent une substantielle hétérogénéité en terme de besoins de soins de santé pour les résidents et ce, à travers le réseau des hôpitaux auxiliaires et des centres d'accueil. En comparant les différents types d'éta-blissement, on a découvert qu'entre les hôpitaux auxiliaires et les centres d'accueil, les différences se situaient moins dans la répartition des résidents fondée sur des indicateurs de comportement que dans une répartition fondée sur des indicateurs de besoins de soins de santé. L'article conclut en discutant des implications des résultats de 1988 en terme de politiques et de planifications et en élaborant de façon plus générale sur le système de classification.

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AL-Rawas, A. A. "State-of-the-Art-Review of Collapsible Soils." Sultan Qaboos University Journal for Science [SQUJS] 5 (December 1, 2000): 115. http://dx.doi.org/10.24200/squjs.vol5iss0pp115-135.

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Collapsible soils are encountered in arid and semi-arid regions. Such soils cause potential construction problems due to their collapse upon wetting. The collapse phenomenon is primarily related to the open structure of the soil. Several soil collapse classifications based on parameters such as moisture content, dry density, Atterberg limits and clay content have been proposed in the literature as indicators of the soil collapse potential. Direct measurement of the magnitude of collapse, using laboratory and/or field tests, is essential once a soil showed indications of collapse potential. Treatment methods such as soil replacement, compaction control and chemical stabilization showed significant reduction in the settlement of collapsible soils. The design of foundations on collapsible soils depends on the depth of the soil, magnitude of collapse and economics of the design. Strip foundations are commonly used when collapsing soil extends to a shallow depth while piles and drilled piers are recommended in cases where the soil extends to several meters. This paper provides a comprehensive review of collapsible soils. These include the different types of collapsible soils, mechanisms of collapse, identification and classification methods, laboratory and field testing, treatment methods and guidelines for foundation design.

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Park, Seongjun, Chandara Koem, and Changsu Shim. "Quantitative Definition of Seismic Performance Levels for Precast Bridge Piers with Continuous Reinforcement." Advances in Civil Engineering 2020 (September 7, 2020): 1–21. http://dx.doi.org/10.1155/2020/4087532.

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For construction sites within cities, which require fast construction because of restrictions in road occupation time, or for other occasions where construction period is an important factor because of similar reasons, application of a modular construction method using precast members is efficient in terms of shortening the construction period. The substructures of bridges are normally constructed using cast-in-place, which has been a major cause of delays in construction. Application of a modular construction method could decrease the occupation time in the sites. A prime example is the Accelerated Bridge Construction (ABC) by the Texas Department of Transportation (TDOT) and Federal Highway Administration (FHWA). Precast members are the key components of ABC. The main purpose of this paper is to provide clear seismic performance standards for precast bridge piers. Current seismic design codes require force-based design checks and provide qualitative evaluation of the overall structure. They do not provide specific qualitative criteria for individual structures with particular types. Previous research has been focused on reinforced-concrete bridge piers, while lacking on research towards prefabricated bridge piers with continuous reinforcements. In order to quantitatively evaluate the seismic performance level of prefabricated bridge piers, the seismic performance was quantitatively suggested in accordance with the classification of four which are operational, immediate occupancy, life safety, and collapse prevention. These criteria are cracking of cover concrete, crushing of cover concrete, yielding of axial steels, and fracture of axial steels. Based on the given seismic performance evaluation criteria, evaluation and verification were conducted on four prefabricated bridge piers with continuous reinforcement that have undergone quasistatic cyclic experiments. The moment-curvature analysis model was constructed for the parametric study and verified through experimental results. Based on the developed M-Phi model, prefabricated bridge piers with continuous reinforcement, which were designed force-based using response correction factor, were evaluated. In addition, parametric study was also conducted focusing on concrete strength, magnitude of prestress, and transverse reinforcement. Depending on the level of individual performance produced by ranges of these variables within possible runs on actual piers, the impact of 3 variables was analyzed. Furthermore, in response to changes in each variable, the impact on the relevant seismic performance level was verified through response spectrum analysis.

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Dionne, Jean-Claude. "La notion de pied de glace (Icefoot), en particulier dans l’estuaire du Saint-Laurent." Cahiers de géographie du Québec 17, no. 41 (April 12, 2005): 221–50. http://dx.doi.org/10.7202/021116ar.

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Dans une première partie, l'auteur fait une revue des définitions et des classifications existantes du pied de glace, montrant que la notion de pied de glace est imprécise, souvent ambiguë et diffère fréquemment d'un auteur à l'autre. Dans la seconde, il définit et décrit le pied de glace dans l'estuaire du Saint-Laurent en distinguant deux grands types de pied de glace : celui de haut et de bas estran. Il souligne aussi son rôle protecteur et morpho-sedimentologique.

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Skrzypek - Ahmed, Sylwia, and Tomasz Wołowiec. "THE CONCEPT OF REAL ESTATE TAXATION BASED ON THE AD VALOREM PRINCIPLE." International Journal of Legal Studies ( IJOLS ) 9, no. 1 (June 30, 2021): 225–49. http://dx.doi.org/10.5604/01.3001.0015.0437.

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The purpose of this paper is to evaluate the pros and cons of ad valorem real estate taxation in the context of the reform of the Polish real estate taxation system. A property tax (or millage tax) is a levy on property that the owner is required to pay. The tax is levied by the governing authority of the jurisdiction in which the property is located; it may be paid to a national government, a federated state, a county or geographical region, or a municipality. Multiple jurisdictions may tax the same property. This contrasts with a rent and mortgage tax, which is based on a percentage of the rent or mortgage value. There are four broad types of property: land, improvements to land (immovable man-made objects, such as buildings), personal property (movable man-made objects), and intangible proper-ty. Real property (also called real estate or realty) means the combination of land and im-provements. Under a property tax system, the government requires and/or performs an appraisal of the monetary value of each property, and tax is assessed in proportion to that value. Forms of property tax used vary among countries and jurisdictions. Real proper-ty is often taxed based on its classification. Classification is the grouping of properties based on similar use. Properties in different classes are taxed at different rates. Examples of different classes of property are residential, commercial, industrial, and vacant real proper-ty. In Israel, for example, property tax rates are double for vacant apartments versus occu-pied apartments.

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Allard, Michel. "Géomorphologie des eskers abitibiens." Cahiers de géographie du Québec 18, no. 44 (April 12, 2005): 271–96. http://dx.doi.org/10.7202/021195ar.

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La région étudiée se situe dans le Nord-Ouest québécois entre les latitudes 48° et 49° 30' N. et les longitudes 77° 15' et 79° W. Les eskers dans cette région atteignent des dimensions de l'ordre de 100 km de longueur et de 50 m de hauteur. Entre les eskers s'étend une plaine argileuse formée par sédimentation au fond du lac glaciaire Barlow-Ojibway. Certains éléments de structure du socle précambrien ont influencé la mise en place des eskers de deux façons : parfois en leur faisant barrière, parfois en les canalisant le long de lignes de failles. Les modifications morphologiques des eskers par l'action des vagues révèlent que le lac Barlow-Ojibway a connu trois étapes : un niveau maximum à 366 m (1200 pieds), un retrait graduel de 366 à 330 m (1100 pieds) et un dernier niveau entre 330 et 320 m (1050 pieds). Le retrait des eaux lacustres fut suivi d'une reprise éolienne tardiglaciaire des sables de plage et des sables fluvioglaciaires. Six types morphologiques d'eskers sont distingués à l'aide de l'analyse factorielle et cinq de ces types sont associés à des modes respectifs de mise en place. L'étude démontre les aspects particuliers du plus important esker de la région, appelé « esker de Matagami », qui se révèle être en fait une importante forme d'accumulation interlobaire.

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Lu, Guanya, Kehai Wang, and Weizuo Guo. "Vibration characteristic analyses of medium-and small-span girder bridge groups in highway systems based on machine learning models." Advances in Structural Engineering 24, no. 11 (March 3, 2021): 2336–50. http://dx.doi.org/10.1177/1369433221997722.

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There are large amounts of small-and medium-span girder bridges which bear structural similarity, while the large-scale bridge structures are generally limited in the timely applications of structural vibration characteristics. Therefore, in this study a framework based on machine learning models was proposed to analyze the vibration characteristics of specific line bridge groups. The probability distributions of structural, geometric, and material properties of bridge groups in specific lines were obtained using statistical tools and a Latin hypercube sampling method was used to generate reasonable sample sets for the bridges group, and parameterized finite element models of the bridges were established. Then, the optimal models were tuned and determined to predict fundamental mode and period by the 10-fold cross-validation method applying the numerical simulation results. This study’s results showed that the random forest models divided the vibration modes of the bridge groups into the longitudinal vibrations of the main girders and the longitudinal vibrations of the adjacent spans and side piers with a classification accuracy of greater than 90%, while the artificial neural network models exhibited the lowest normalized mean square error for the periods. The periods mainly ranged between 0.7 and 1.5 s. Furthermore, the bearing settings, ratios of the pier height to section diameters, and boundary types were determined to be the most significant properties influencing the fundamental modes and periods of the examined bridges, by respectively observing the reduced value of the random forest Gini indices and distribution of the generalized weight value of the input variables in artificial neural networks. This study provides an intelligent and efficient method for obtaining vibration characteristics of bridges group for a specific network.

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Dissertations / Theses on the topic "Classification de types de pieds"

1

Hatzichristos, George. "Classification of digital modulation types in multipath environments." Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 2001. http://handle.dtic.mil/100.2/ADA390810.

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Young, Andrew F. "Classification of digital modulation types in multipath environments." Thesis, Monterey California. Naval Postgraduate School, 2008.

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Approved for public release, distribution unlimited
As the digital communications industry continues to grow and evolve, the applications of this discipline continue to grow as well. This growth, in turn, has spawned an increasing need to seek automated methods of classifying digital modulation types. This research is a revision of previous work, using the latest mathematical software including MATLAB version 7 and Simulink Â®. The program considers the classification of nine different modulation types. Specifically, the classification scheme can differentiate between 2, 4, and 8 PSK, 256-QAM from other types of M-QAM signals, and also M-FSK signals from PSK and QAM signals in various types of propagation channels, including multipath fading and a variety of signal-to-noise levels. This method successfully identifies these modulation types without the benefit of a priori information. Higher-order statistical parameters are selected as class features and are tested in a classifier for their ability to identify the above modulation types. This study considers the effects due to realistic multipath propagation channels and additive white Gaussian noise. Using these features, and considering all fading conditions, it was determined that the classifier was correct for a randomly sent signal under randomly high or low SNR levels (low: 0dB to 8dB; high: 50dB to 100dB) over 83.9% of the time.

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Walder, Patrick. "Automated classification of cloud types from satellite images." Thesis, University of the West of Scotland, 1998. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.496612.

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Green, Rebecca, and Nancy Fallgren. "Anticipating new media: A faceted classification of material types." dLIST, 2007. http://hdl.handle.net/10150/106475.

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The emergence of new media types, many seemingly without counterparts in the non-digital world, challenges the readiness of existing knowledge organization schemes to accommodate them. A knowledge organization scheme based on a faceted analysis of existing classes of bibliographic materials is likely to accommodate new developments better than one based on a list of unanalyzed material types. The faceted analysis undertaken here, in which seven facets are recognized (content, generation of content, recording of content, publication/distribution, physical characteristics, perception/use, and relationships) shows the inadequacy of the traditional view of the bibliographic community of a fundamental distinction between content and carrier; interaction between content and carrier is common and enters into the characterization of material types. The facet analysis is validated by applying it to two new material types, wikis and blogs.

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Dillon, Andrew, and Cliff McKnight. "Towards a classification of text types: a repertory grid approach." Elsevier, 1990. http://hdl.handle.net/10150/106467.

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This item is not the definitive copy. Please use the following citation when referencing this material: Dillon, A. and McKnight, C. (1990) Towards a classification of text types: a repertory grid approach. International Journal of Man-Machine Studies, 33, 623-636. Abstract: The advent of hypertext brings with it associated problems of how best to present non-linear texts. As yet, knowledge of readers' models of texts and their uses is limited. Repertory grid analysis offers an insightful method of examining these issues and gaining an understanding of the type of texts that exist in the readers' worlds. The present study investigates six researchers' perceptions of texts in terms of their use, content and structure. Results indicate that individuals construe texts in terms of three broad attributes: why read them, what type of information they contain, and how they are read. When applied to a variety of texts these attributes facilitate a classificatory system incorporating both individual and task differences and provide guidance on how their electronic versions could be designed.

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Zhang, Xiu Rong. "Classification of three types of capital and their contribution to production." DigitalCommons@Robert W. Woodruff Library, Atlanta University Center, 1992. http://digitalcommons.auctr.edu/dissertations/765.

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This thesis offers a theoretical analysis of the need to redefine capital. More specifically it argues that the concept of capital, as generally defined, needs to bebroadened. Empirical support is evaluated by reviewing evidence from other studies. This study suggests that the ambiguous concept of capital can be minimized by subdividing it into three homogeneous categories. The three categories are as follows: Capital One -—labor and equipment; Capital Two worker’s training and technology; Capital Three—-science research and education. It is argued in this thesis that only Capital Two is crucial to production and significantly contributes to economic growth. In this thesis these three categories are classified according to their effect on production, timing of return, and degree of risk. A simple model describing their relationship is offered. The evolution of production, the development of capital theory, and the limited empirical estimates support the thesis advanced in this paper. The standard procedure of constrained maximization demonstrates that output growth per capita depends on the optimal allocation of both worker training input and technology input.

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Eppanapelli, Lavan Kumar. "Classification of different types of snow using spectral and angular imaging." Licentiate thesis, Luleå tekniska universitet, Institutionen för teknikvetenskap och matematik, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-59817.

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The current thesis work details a non-contact detection approach concerningclassification of snow with different physical properties such as grain size, densityand specific surface area (SSA). In this approach, reflected light from snowsurfaces is measured as a function of wavelength and viewing geometry. Essentiallya detector (either a near-infrared (NIR) camera or a spectrometer) and anillumination source are needed to measure the spectrally and angularly resolvedbidirectional reflectance from snow. Classification of snow types is performedbased on the absorption and scattering properties of a respective snow type. Itis furthermore known that snow properties can be modelled using a numericalsolver where the radiative transfer equation (RTE) for snow is solved and ascattering phase function is estimated by expanding into a series of Legendrecoefficients. It is therefore expected to be a connection between snow characteristicsand the Legendre coefficients of the scattering phase function. Results suggest that different snow types can be classified using two wavelengths(980 nm, 1310 nm) from the high reflectance region and one wavelength(1550 nm) from the high absorption region. It is also observed that thebidirectional reflectance for snow tends to increase in specular direction (antiilluminationdirection) as snow density increases. Results from the numericalmethod suggest that the first coefficient of the Legendre phase function is arelative estimate of the single scattering albedo rather than an absolute estimateand that the second coefficient estimates the anisotropy of a respectivesnow type. Investigations in this thesis suggest that the presented approachcan be used as a tool to classify different snow types in various applicationssuch as icing on wind turbine blades, winter roads maintenance and ski tracksmaintenance.v

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Cheng, Beethoven. "Development of genre and function types for web page classification and rating." Thesis, Massachusetts Institute of Technology, 1996. http://hdl.handle.net/1721.1/42804.

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Thesis (S.B. and M.Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 1996.
Includes bibliographical references (leaves 58-59).
by Beethoven Cheng.
S.B.and M.Eng.

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Brassard, Houde Geneviève. "Détection et classification de différents types d'observations dans un modèle de régression linéaire." Mémoire, Université de Sherbrooke, 2008. http://savoirs.usherbrooke.ca/handle/11143/4769.

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Le problème de la détection et de la classification de différents types d'observations est important dans les modèles de régression linéaire. En effet, pour pouvoir se fier aux données et s'assurer que celles-ci correspondent aux modèles sous-jacents utilisés lorsque nous appliquons la régression, il peut s'avérer nécéssaire de devoir les répartir en catégories. Après avoir présenté les principales méthodes et techniques utilisées dans les modèles de régression linéaire, ce mémoire propose des diagnostics qui permettent de déterminer les différentes catégories de données. Ces diagnostics sont particulièrement utiles dans tous les domaines où sont utilisés les modèles linéaires. Ceux-ci sont utilisés en physique, astronomie, biologie, chimie, médecine, géographie, sociologie, histoire, économie, linguistique, droit, etc. Finalement, ce mémoire présente en détail trois exemples portant sur des données réelles dans les domaines suivants: l'économie, la géographie et l'astronomie. Le traitement de ces exemples est fait à l'aide du logiciel R.

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Anakli, Zeynep. "A Comparison Of Data Mining Methods For Prediction And Classification Types Of Quality Problems." Master's thesis, METU, 2009. http://etd.lib.metu.edu.tr/upload/2/12611329/index.pdf.

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In this study, an Analytic Network Process (ANP) and Preference Ranking Organization MeTHod for Enrichment Evaluations (PROMETHEE) based approach is developed and used to compare overall performance of some commonly used classification and prediction data mining methods on quality improvement data, according to several decision criteria. Classification and prediction data mining (DM) methods are frequently used in many areas including quality improvement. Previous studies on comparison of performance of these methods are not valid for quality improvement data. Furthermore, these studies do not consider all relevant decision criteria in their comparison. All relevant criteria and interdependencies among criteria should be taken into consideration during the performance evaluation. In this study, classification DM methods namely
Decision Trees (DT), Neural Networks (NN), Multivariate Adaptive Regression Splines (MARS), Logistic Regression (LR), Mahalanobis-Taguchi System (MTS), Fuzzy Classifier (FC) and Support Vector Machine (SVM)
prediction DM methods DT, NN, MARS, Multiple Linear Regression (MLR), Fuzzy Regression (FR) and Robust Regression (RR) are prioritized according to a comprehensive set of criteria using ANP and PROMETHEE. According to results of this study, MARS is found superior to the other methods for both classification and prediction. Moreover, sensitivity of the results to changes in weights and thresholds of the decision criteria is analyzed. These analyses show that resulting priorities are very insensitive to these parameters.

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Books on the topic "Classification de types de pieds"

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Handbook of plant types. London: Hodder and Stoughton, 1987.

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Holmes, Sandra. Handbook of plant types. London: Hodder and Stoughton, 1987.

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Negi, Sharad Singh. Forest types of India, Nepal, and Bhutan. Delhi, India: Periodical Expert Book Agency, 1989.

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Spjut, Richard W. A systematic treatment of fruit types. Bronx, N.Y., U.S.A: New York Botanical Garden, 1994.

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Jong, Herman de. The types of Diptera described by J.C.H. de Meijere. Leiden, the Netherlands: Backhuys Publishers, 2000.

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Watt, J. C. Tenebrionidae (Insecta, Coleoptera): Catalogue of types and keys to taxa. Auckland, N.Z: DSIR Plant Protection, 1992.

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Wahome, E. K. Soil erosion types and their distribution in Machakos District. Nairobi: Kenya Rangeland Ecological Monitoring Unit, Ministry of Planning and National Development, 1986.

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Moths: Types, ecological significance, and control methods. New York: Nova Science Publishers, 2012.

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Jason, Heda. Types of Indic oral tales: Supplement. Helsinki: Suomalainen Tiedeakatemia, Academia Scientiarum Fennica, 1989.

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Bezerra, Adriano D. Evergreens: Types, ecology, and conservation. Hauppauge, N.Y: Nova Science Publishers, 2011.

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Book chapters on the topic "Classification de types de pieds"

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Hrushovski, Ehud. "Locally modular regular types." In Classification Theory, 132–64. Berlin, Heidelberg: Springer Berlin Heidelberg, 1987. http://dx.doi.org/10.1007/bfb0082236.

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Chatzidakis, Z., G. Cherlin, S. Shelah, G. Srour, and C. Wood. "Orthogonality of types in separably closed fields." In Classification Theory, 72–88. Berlin, Heidelberg: Springer Berlin Heidelberg, 1987. http://dx.doi.org/10.1007/bfb0082232.

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Lima-de-Faria, J. "Tables of mineral structure types." In Structural Classification of Minerals, 91–110. Dordrecht: Springer Netherlands, 2004. http://dx.doi.org/10.1007/978-94-007-1056-6_2.

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Lima-De-Faria, J. "Tables of mineral structure types." In Structural Classification of Minerals, 103–38. Dordrecht: Springer Netherlands, 2003. http://dx.doi.org/10.1007/978-94-017-0536-3_2.

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Cullum, D. C. "Surfactant types; classification, identification, separation." In Introduction to Surfactant Analysis, 17–41. Dordrecht: Springer Netherlands, 1994. http://dx.doi.org/10.1007/978-94-011-1316-8_2.

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Fleischmann, Albert. "Classification of Software System Types." In Distributed Systems, 35–44. Berlin, Heidelberg: Springer Berlin Heidelberg, 1994. http://dx.doi.org/10.1007/978-3-642-78612-9_3.

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Kumar, K. S. Anil, M. Lalitha, Shivanand, K. Sujatha, K. M. Nair, R. Hegde, S. K. Singh, and Bipin B. Mishra. "Major Soil Types and Classification." In The Soils of India, 81–108. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-31082-0_5.

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Capponi, Cécile. "Interactive Class Classification Using Types." In New Approaches in Classification and Data Analysis, 204–11. Berlin, Heidelberg: Springer Berlin Heidelberg, 1994. http://dx.doi.org/10.1007/978-3-642-51175-2_23.

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Mirsal, Ibrahim A. "Soil Classification and Soil Types." In Soil Pollution, 45–51. Berlin, Heidelberg: Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-662-05400-0_4.

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Sannino, Diana. "Types and Classification of Nanomaterials." In Nanotechnology, 15–38. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-15-9437-3_2.

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Conference papers on the topic "Classification de types de pieds"

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Merwe, J. Rossouw van der, Xabier Zubizarreta, Ivana Lukcin, Alexander Rugamer, and Wolfgang Felber. "Classification of Spoofing Attack Types." In 2018 European Navigation Conference (ENC). IEEE, 2018. http://dx.doi.org/10.1109/euronav.2018.8433227.

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Cetiner, Sbrahim, A. Ali Var, and Halit Cetiner. "Classification of KNOT defect types." In 2014 22nd Signal Processing and Communications Applications Conference (SIU). IEEE, 2014. http://dx.doi.org/10.1109/siu.2014.6830422.

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Fihl, Preben, and Thomas B. Moeslund. "Invariant Classification of Gait Types." In 2008 Canadian Conference on Computer and Robot Vision (CRV). IEEE, 2008. http://dx.doi.org/10.1109/crv.2008.24.

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Marinovic, Nenad M., Douglas J. Nelson, Leon Cohen, and Srinivasan Umesh. "Classification of digital modulation types." In SPIE's 1995 International Symposium on Optical Science, Engineering, and Instrumentation, edited by Franklin T. Luk. SPIE, 1995. http://dx.doi.org/10.1117/12.211392.

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Gade, Rikke, Mohamed Abou-Zleikha, Mads Graesboll Christensen, and Thomas B. Moeslund. "Audio-Visual Classification of Sports Types." In 2015 IEEE International Conference on Computer Vision: Workshop (ICCVW). IEEE, 2015. http://dx.doi.org/10.1109/iccvw.2015.104.

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Wagner, Stefan. "Defect classification and defect types revisited." In the 2008 workshop. New York, New York, USA: ACM Press, 2008. http://dx.doi.org/10.1145/1390817.1390829.

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Karl, Barbara, Lisa Kessler, and Klaus Bogenberger. "Automated Classification of Different Congestion Types." In 2019 IEEE Intelligent Transportation Systems Conference - ITSC. IEEE, 2019. http://dx.doi.org/10.1109/itsc.2019.8917410.

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Cogun, Fuat, Emirhan Ozmen, and Fatih Altiparmak. "Classification of Radar Platform Motion Types." In 2020 28th Signal Processing and Communications Applications Conference (SIU). IEEE, 2020. http://dx.doi.org/10.1109/siu49456.2020.9302274.

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Khanna, Nitin, Aravind K. Mikkilineni, George T. C. Chiu, Jan P. Allebach, and Edward J. Delp. "Forensic classification of imaging sensor types." In Electronic Imaging 2007. SPIE, 2007. http://dx.doi.org/10.1117/12.705849.

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Hallikainen, Martti, and Martti Toikka. "Classification of Sea Ice Types with Radar." In 22nd European Microwave Conference, 1992. IEEE, 1992. http://dx.doi.org/10.1109/euma.1992.335828.

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Reports on the topic "Classification de types de pieds"

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Faber-Langendoen, D., T. Keeler-Wolf, D. Meidinger, C. Josse, A. Weakley, D. Tart, G. Navarro, et al. Classification and description of world formation types. Ft. Collins, CO: U.S. Department of Agriculture, Forest Service, Rocky Mountain Research Station, 2016. http://dx.doi.org/10.2737/rmrs-gtr-346.

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Faber-Langendoen, D., T. Keeler-Wolf, D. Meidinger, C. Josse, A. Weakley, D. Tart, G. Navarro, et al. Classification and description of world formation types. Ft. Collins, CO: U.S. Department of Agriculture, Forest Service, Rocky Mountain Research Station, 2016. http://dx.doi.org/10.2737/rmrs-gtr-346.

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Boggs, Keith. Classification of community types, successional sequences, and landscapes of the Copper River Delta, Alaska. Portland, OR: U.S. Department of Agriculture, Forest Service, Pacific Northwest Research Station, 2000. http://dx.doi.org/10.2737/pnw-gtr-469.

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Hodgdon, Taylor, Anthony Fuentes, Jason Olivier, Brian Quinn, and Sally Shoop. Automated terrain classification for vehicle mobility in off-road conditions. Engineer Research and Development Center (U.S.), April 2021. http://dx.doi.org/10.21079/11681/40219.

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The U.S. Army is increasingly interested in autonomous vehicle operations, including off-road autonomous ground maneuver. Unlike on-road, off-road terrain can vary drastically, especially with the effects of seasonality. As such, vehicles operating in off-road environments need to be in-formed about the changing terrain prior to departure or en route for successful maneuver to the mission end point. The purpose of this report is to assess machine learning algorithms used on various remotely sensed datasets to see which combinations are useful for identifying different terrain. The study collected data from several types of winter conditions by using both active and passive, satellite and vehicle-based sensor platforms and both supervised and unsupervised machine learning algorithms. To classify specific terrain types, supervised algorithms must be used in tandem with large training datasets, which are time consuming to create. However, unsupervised segmentation algorithms can be used to help label the training data. More work is required gathering training data to include a wider variety of terrain types. While classification is a good first step, more detailed information about the terrain properties will be needed for off-road autonomy.

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Ramm-Granberg, Tynan, F. Rocchio, Catharine Copass, Rachel Brunner, and Eric Nelsen. Revised vegetation classification for Mount Rainier, North Cascades, and Olympic national parks: Project summary report. National Park Service, February 2021. http://dx.doi.org/10.36967/nrr-2284511.

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Field crews recently collected more than 10 years of classification and mapping data in support of the North Coast and Cascades Inventory and Monitoring Network (NCCN) vegetation maps of Mount Rainier (MORA), Olympic (OLYM), and North Cascades (NOCA) National Parks. Synthesis and analysis of these 6000+ plots by Washington Natural Heritage Program (WNHP) and Institute for Natural Resources (INR) staff built on the foundation provided by the earlier classification work of Crawford et al. (2009). These analyses provided support for most of the provisional plant associations in Crawford et al. (2009), while also revealing previously undescribed vegetation types that were not represented in the United States National Vegetation Classification (USNVC). Both provisional and undescribed types have since been submitted to the USNVC by WNHP staff through a peer-reviewed process. NCCN plots were combined with statewide forest and wetland plot data from the US Forest Service (USFS) and other sources to create a comprehensive data set for Washington. Analyses incorporated Cluster Analysis, Nonmetric Multidimensional Scaling (NMS), Multi-Response Permutation Procedure (MRPP), and Indicator Species Analysis (ISA) to identify, vet, and describe USNVC group, alliance, and association distinctions. The resulting revised classification contains 321 plant associations in 99 alliances. A total of 54 upland associations were moved through the peer review process and are now part of the USNVC. Of those, 45 were provisional or preliminary types from Crawford et al. (2009), with 9 additional new associations that were originally identified by INR. WNHP also revised the concepts of 34 associations, wrote descriptions for 2 existing associations, eliminated/archived 2 associations, and created 4 new upland alliances. Finally, WNHP created 27 new wetland alliances and revised or clarified an additional 21 as part of this project (not all of those occur in the parks). This report and accompanying vegetation descriptions, keys and synoptic and environmental tables (all products available from the NPS Data Store project reference: https://irma.nps.gov/DataStore/Reference/Profile/2279907) present the fruit of these combined efforts: a comprehensive, up-to-date vegetation classification for the three major national parks of Washington State.

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Evans, Julie, Kendra Sikes, and Jamie Ratchford. Vegetation classification at Lake Mead National Recreation Area, Mojave National Preserve, Castle Mountains National Monument, and Death Valley National Park: Final report (Revised with Cost Estimate). National Park Service, October 2020. http://dx.doi.org/10.36967/nrr-2279201.

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Vegetation inventory and mapping is a process to document the composition, distribution and abundance of vegetation types across the landscape. The National Park Service’s (NPS) Inventory and Monitoring (I&M) program has determined vegetation inventory and mapping to be an important resource for parks; it is one of 12 baseline inventories of natural resources to be completed for all 270 national parks within the NPS I&M program. The Mojave Desert Network Inventory & Monitoring (MOJN I&M) began its process of vegetation inventory in 2009 for four park units as follows: Lake Mead National Recreation Area (LAKE), Mojave National Preserve (MOJA), Castle Mountains National Monument (CAMO), and Death Valley National Park (DEVA). Mapping is a multi-step and multi-year process involving skills and interactions of several parties, including NPS, with a field ecology team, a classification team, and a mapping team. This process allows for compiling existing vegetation data, collecting new data to fill in gaps, and analyzing the data to develop a classification that then informs the mapping. The final products of this process include a vegetation classification, ecological descriptions and field keys of the vegetation types, and geospatial vegetation maps based on the classification. In this report, we present the narrative and results of the sampling and classification effort. In three other associated reports (Evens et al. 2020a, 2020b, 2020c) are the ecological descriptions and field keys. The resulting products of the vegetation mapping efforts are, or will be, presented in separate reports: mapping at LAKE was completed in 2016, mapping at MOJA and CAMO will be completed in 2020, and mapping at DEVA will occur in 2021. The California Native Plant Society (CNPS) and NatureServe, the classification team, have completed the vegetation classification for these four park units, with field keys and descriptions of the vegetation types developed at the alliance level per the U.S. National Vegetation Classification (USNVC). We have compiled approximately 9,000 existing and new vegetation data records into digital databases in Microsoft Access. The resulting classification and descriptions include approximately 105 alliances and landform types, and over 240 associations. CNPS also has assisted the mapping teams during map reconnaissance visits, follow-up on interpreting vegetation patterns, and general support for the geospatial vegetation maps being produced. A variety of alliances and associations occur in the four park units. Per park, the classification represents approximately 50 alliances at LAKE, 65 at MOJA and CAMO, and 85 at DEVA. Several riparian alliances or associations that are somewhat rare (ranked globally as G3) include shrublands of Pluchea sericea, meadow associations with Distichlis spicata and Juncus cooperi, and woodland associations of Salix laevigata and Prosopis pubescens along playas, streams, and springs. Other rare to somewhat rare types (G2 to G3) include shrubland stands with Eriogonum heermannii, Buddleja utahensis, Mortonia utahensis, and Salvia funerea on rocky calcareous slopes that occur sporadically in LAKE to MOJA and DEVA. Types that are globally rare (G1) include the associations of Swallenia alexandrae on sand dunes and Hecastocleis shockleyi on rocky calcareous slopes in DEVA. Two USNVC vegetation groups hold the highest number of alliances: 1) Warm Semi-Desert Shrub & Herb Dry Wash & Colluvial Slope Group (G541) has nine alliances, and 2) Mojave Mid-Elevation Mixed Desert Scrub Group (G296) has thirteen alliances. These two groups contribute significantly to the diversity of vegetation along alluvial washes and mid-elevation transition zones.

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Kud, A. A. Figures and Tables. Reprinted from “Comprehensive сlassification of virtual assets”, A. A. Kud, 2021, International Journal of Education and Science, 4(1), 52–75. KRPOCH, 2021. http://dx.doi.org/10.26697/reprint.ijes.2021.1.6.a.kud.

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Figure. Distributed Ledger Token Accounting System. Figure. Subjects of Social Relations Based on the Decentralized Information Platform. Figure. Derivativeness of a Digital Asset. Figure. Semantic Features of the Concept of a “Digital Asset” in Economic and Legal Aspects. Figure. Derivativeness of Polyassets and Monoassets. Figure. Types of Tokenized Assets Derived from Property. Figure. Visual Representation of the Methods of Financial and Management Accounting of Property Using Various Types of Tokenized Assets. Figure. Visual Representation of the Classification of Virtual Assets Based on the Complexity of Their Nature. Table. Comparison of Properties of Various Types of Virtual Assets of the Distributed Ledger Derivative of the Original Asset. Table. Main Properties and Parameters of Types of Tokenized Assets. Table. Classification of Virtual Assets as Tools for Implementing the Methods of Financial and Management Accounting of Property.

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Arbeit, Caren A., Alexander Bentz, Emily Forrest Cataldi, and Herschel Sanders. Alternative and Independent: The universe of technology-related “bootcamps". RTI Press, February 2019. http://dx.doi.org/10.3768/rtipress.2019.rr.0033.1902.

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In recent years, nontraditional workforce training programs have proliferated inside and outside of traditional postsecondary institutions. A subset of these programs, bootcamps, advertise high job placement rates and have been hailed by policymakers as key to training skilled workers. However, few formal data exist on the number, types, prices, location, or other descriptive details of program offerings. We fill this void by studying the universe of bootcamp programs offered as of June 30, 2017. In this report, we discuss the attributes of the 1,010 technology-related programs offered in the United States, Canada, and online. We find more diversity among bootcamp providers and programs than would be expected from public discourse. This primarily relates to the mode of delivery (online vs. in person), intensity (part time/full time), cost, and program types. Based on the data we collected, we present a classification structure for bootcamps focused on five distinct program types.

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Galvin, Jeff, and Sarah Strudd. Vegetation inventory, mapping, and characterization report, Saguaro National Park: Volume II, association summaries. Edited by Alice Wondrak Biel. National Park Service, March 2021. http://dx.doi.org/10.36967/nrr-2284793.

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The Sonoran Desert Network (SODN) conducted a vegetation mapping and characterization effort at the two districts of Saguaro National Park from 2010 to 2018. This project was completed under the National Park Service (NPS) Vegetation Mapping Inventory, which aims to complete baseline mapping and classification inventories at more than 270 NPS units. The vegetation map data were collected to provide park managers with a digital map product that meets national standards of spatial and thematic accuracy, while also placing the vegetation into a regional and national context. A total of 97 distinct vegetation communities were described: 83 exclusively at the Rincon Mountain District, 9 exclusively at the Tucson Mountain District, and 5 occurring in both districts. These communities ranged from low-elevation creosote (Larrea tridentata) shrub-lands spanning broad alluvial fans to mountaintop Douglas fir (Pseudotsuga menziesii) forests on the slopes of Rincon Peak. All 97 communities were described at the association level, each with detailed narratives including lists of species found in each association, their abundance, landscape features, and overall community structural characteristics. Only 15 of the 97 vegetation types were existing “accepted” types within the National Vegetation Classification (NVC). The others are newly described and specific to Saguaro National Park (and will be proposed for formal status within the NVC). This document is Volume II of three volumes comprising the Saguaro National Park Vegetation Mapping Inventory. This volume provides two-page summaries of the 97 associations identified and mapped during the project, and detailed in Volume I. Summaries are presented by district, starting with the Tucson Mountain District. These summaries are abridged versions of the full association descriptions found in Volume III.

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Galvin, Jeff, and Sarah Studd. Vegetation inventory, mapping, and characterization report, Saguaro National Park: Volume III, type descriptions. Edited by Alice Wondrak Biel. National Park Service, March 2021. http://dx.doi.org/10.36967/nrr-2284802.

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The Sonoran Desert Network (SODN) conducted a vegetation mapping and characterization effort at the two districts of Saguaro National Park from 2010 to 2018. This project was completed under the National Park Service (NPS) Vegetation Mapping Inventory, which aims to complete baseline mapping and classification inventories at more than 270 NPS units. The vegetation map data were collected to provide park managers with a digital map product that meets national standards of spatial and thematic accuracy, while also placing the vegetation into a regional and national context. A total of 97 distinct vegetation communities were described: 83 exclusively at the Rincon Mountain District, 9 exclusively at the Tucson Mountain District, and 5 occurring in both districts. These communities ranged from low-elevation creosote (Larrea tridentata) shrub-lands spanning broad alluvial fans to mountaintop Douglas fir (Pseudotsuga menziesii) forests on the slopes of Rincon Peak. All 97 communities were described at the association level, each with detailed narratives including lists of species found in each association, their abundance, landscape features, and overall community structural characteristics. Only 15 of the 97 vegetation types were existing “accepted” types within the NVC. The others are newly de-scribed and specific to Saguaro National Park (and will be proposed for formal status within the NVC). This document is Volume III of three volumes comprising the Saguaro National Park Vegetation Mapping Inventory. This volume provides full type descriptions of the 97 associations identified and mapped during the project, and detailed in Volume I. Volume II provides abridged versions of these full descriptions, briefly describing the floristic and structural characteristics of the vegetation and showing representative photos of associations, their distribution, and an example of the satellite imagery for one polygon.

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