Relevant bibliographies by topics / Identification

Academic literature on the topic 'Identification'

Author: Grafiati
Published: 4 June 2021
Last updated: 31 July 2024

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Journal articles on the topic "Identification"

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Kristen Radtke. "identification/ identificationi." Fourth Genre: Explorations in Nonfiction 12, no. 2 (2010): 89–96. http://dx.doi.org/10.1353/fge.2010.0012.

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P. Kumar, Senthil, Chandan Kumar, and Senthil Kumar Elumalai. "Diagnosis: Identification of Problems or Problems in Identification?" Indian Journal of Medical & Health Sciences 3, no. 2 (2016): 89–92. http://dx.doi.org/10.21088/ijmhs.2347.9981.3216.1.

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Gajare, Dr Uttam. "Denture Identification." International Journal of Scientific Research 2, no. 12 (June 1, 2012): 472. http://dx.doi.org/10.15373/22778179/dec2013/147.

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Gašperšič, D. "Identification of Protostylid." Anthropologischer Anzeiger 55, no. 1 (March 1, 1997): 43–53. http://dx.doi.org/10.1127/anthranz/55/1997/43.

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Suganthi, Mrs Dr V., C. Thavapriya, and T. Mirudhu Bashini. "Sign Language Identification." International Journal of Research Publication and Reviews 5, no. 3 (March 21, 2024): 5997–6001. http://dx.doi.org/10.55248/gengpi.5.0324.0855.

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Milani, A. "The Asteroid Identification Problem III. Proposing Identifications." Icarus 144, no. 1 (March 2000): 39–53. http://dx.doi.org/10.1006/icar.1999.6261.

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Kesava Rao, P., Y. Mishima, S. Srinivasulu, and N. Bhaskara Rao. "Identification of Urban Sprawl." Lowland Technology International 18, no. 1 (2016): 59–64. http://dx.doi.org/10.14247/lti.18.1_59.

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Kumar, P. Vijay, and A. Raviteja A. Raviteja. "Automatic Indian Language Identification." International Journal of Scientific Research 2, no. 4 (June 1, 2012): 79–82. http://dx.doi.org/10.15373/22778179/apr2013/31.

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Kiranmala Devi Amandeep, Soibam. "Identification of Visual Problems." International Journal of Science and Research (IJSR) 13, no. 2 (February 5, 2024): 161–64. http://dx.doi.org/10.21275/sr24131055005.

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COOPER, ARNOLD M. "Projection, Identification, Projective Identification." American Journal of Psychiatry 146, no. 4 (April 1989): 540–41. http://dx.doi.org/10.1176/ajp.146.4.540.

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Dissertations / Theses on the topic "Identification"

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Pryke, Sean Patrick. "Multiple independent identification decisions, a method of calibrating eyewitness identifications." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 2001. http://www.collectionscanada.ca/obj/s4/f2/dsk3/ftp05/NQ63445.pdf.

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Balaniuk, Remis. "Identification structurelle." Phd thesis, Grenoble INPG, 1996. http://tel.archives-ouvertes.fr/tel-00004974.

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De nombreuses techniques mathématiques utilisées en robotique reposent sur l'identification de paramètres ou sur la construction d'un modèle de type boîte noire (réseaux de neurones par exemple). Dans le premier cas on se donne une équation de mesure dont on ignore certains paramètres, mais pour laquelle on dispose de mesures experimentales du phénomène qu'on cherche à modéliser. Le problème revient alors à trouver les valeurs numériques des paramètres inconnus de l'équation pour obtenir un modèle du système. Cela revient en général à conduire un certain nombre d'expériences puis à faire de la minimisation au sens des moindres carrés pour trouver les paramètres qui expliquent au mieux les mesures obtenues. Dans le deuxième cas on utilise une technique d'approximation universelle permettant de modéliser la réponse du système. Pour cela on corrige l'ensemble des paramètres de l'approximateur à l'aide d'un algorithme adaptatif et d'un ensemble d'exemples. On dispose donc actuellement de deux grandes classes de méthodes : l'une faisant appel à de fortes connaissances préalables (la connaissance de l'équation de mesure) et l'autre ne faisant appel à aucune connaissance préalable. L'objet de cette thèse est de proposer une méthode intermédiaire: l'identification structurelle. Dans ce cadre on ne connaît plus la forme paramétrique de l'équation de mesure mais des informations a-priori sur sa forme générale. Par exemple, on sait que l'équation de mesure est formée d'un polynôme de fonctions quelconques d'une seule variable. Nous montrons qu'il est possible d'inférer cette équation de mesure dès lors que l'on choisit un protocole expérimental approprié et que l'on dispose d'un approximateur universel pour les fonctions d'une seule variable. L'ensemble des polynômes de fonctions trigonométiques multi-variables rentre dans le cadre juste évoqué. On peut donc appliquer cette méthode à de nombreux problèmes trouvés en robotique. On peut par exemple identifier le modèle géométrique d'un bras manipulateur ou trouver l'expression de la jacobienne reliant les mouvements d'un bras aux mouvements d'indices visuels dans une image vidéo. Le modèle fonctionnel obtenu peut être utilisé pour commander le système. C'est ainsi que nous avons réalisé un asservissement visuel avec cette méthode.
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Balaniuk, Remis. "Identification structurelle." Phd thesis, Grenoble INPG, 1996. https://theses.hal.science/tel-00004974.

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Dans ce mémoire nous proposons une méthode originale d'acquisition de modèles : l'identification structurelle. Nous nous plaçons dans un cadre intermédiaire entre les méthodes de modélisation classiques et les méthodes basées sur l'apprentissage. Nous montrons que pour le cas d'une classe particulière mais assez générale de fonctions il est possible d'inférer automatiquement la forme d'équation qui représente au mieux un certain processus physique, évitant ainsi l'effort de caractérisation du modelé par le concepteur. L'acquisition des modèles est faite suivant un protocole expérimental dans lequel l'identification de paramètres est à des problèmes n'ayant qu'une seule dimension d'entrée, réduisant ainsi la quantité de données requise. Les modèles générés par la méthode sont facilement différentiables, améliorables et réutilisables. La méthode peut être particulièrement utile en robotique ou l'on rencontre souvent le type fonctionnel considéré
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Wood, Nathan D. "Mystic Identifications: Reading Kenneth Burke and “Non-identification” through Asian American Rhetoric." BYU ScholarsArchive, 2020. https://scholarsarchive.byu.edu/etd/8482.

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Krista Ratcliffe’s term “non-identification” offers a version of identification that assumes identity is not always identifiable. As an attitude that fosters cross-cultural listening, non-identification asks us to listen to others from a place of “neutrality,” with “hesitancy,” “humility,” and “pause” in order to consider identity’s fluid nature (73). This thesis first argues that this term might also describe speaking strategies premised on non-identifiability. As I’ll show, an inventive non-identification would articulate some rhetorical strategies that neither “identification” nor “disidentification” currently articulate. However, rhetorical scholars need more theoretical and practical guidance for what this kind of speech looks like. So, this thesis also argues why, despite criticism to the contrary, the writing of Kenneth Burke offers an ideal account for inventive non-identification. Burke’s descriptions of the terms “synecdoche function,” the “mystic” and “poetic language” achieve the same effects as Ratcliffe’s non-identification, yet Burke describes these same effects from the perspective of the speaker. Following my re-reading of Burke, I ground the theory of inventive non-identification in a brief rhetorical analysis of Yan Phou Lee’s 1887 autobiography When I Was a Boy in China. By showing how this theory applies to Asian American rhetoric, I conclude that inventive non-identification has utility for the field of rhetoric more broadly.
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Brunot, Mathieu. "Identification of rigid industrial robots - A system identification perspective." Phd thesis, Toulouse, INPT, 2017. http://oatao.univ-toulouse.fr/20776/1/BRUNOT_Mathieu_20776.pdf.

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In modern manufacturing, industrial robots are essential components that allow saving cost, increase quality and productivity for instance. To achieve such goals, high accuracy and speed are simultaneously required. The design of control laws compliant with such requirements demands high-fidelity mathematical models of those robots. For this purpose, dynamic models are built from experimental data. The main objective of this thesis is thus to provide robotic engineers with automatic tools for identifying dynamic models of industrial robot arms. To achieve this aim, a comparative analysis of the existing methods dealing with robot identification is made. That allows discerning the advantages and the limitations of each method. From those observations, contributions are presented on three axes. First, the study focuses on the estimation of the joint velocities and accelerations from the measured position, which is required for the model construction. The usual method is based on a home-made prefiltering process that needs a reliable knowledge of the system’s bandwidths, whereas the system is still unknown. To overcome this dilemma, we propose a method able to estimate the joint derivatives automatically, without any setting from the user. The second axis is dedicated to the identification of the controller. For the vast majority of the method its knowledge is indeed required. Unfortunately, for copyright reasons, that is not always available to the user. To deal with this issue, two methods are suggested. Their basic philosophy is to identify the control law in a first step before identifying the dynamic model of the robot in a second one. The first method consists in identifying the control law in a parametric way, whereas the second one relies on a non-parametric identification. Finally, the third axis deals with the home-made setting of the decimate filter. The identification of the noise filter is introduced similarly to methods developed in the system identification community. This allows estimating automatically the dynamic parameters with low covariance and it brings some information about the noise circulation through the closed-loop system. All the proposed methodologies are validated on an industrial robot with 6 degrees of freedom. Perspectives are outlined for future developments on robotic systems identification and other complex problems.
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Avanzi, Lorenzo <1975&gt. "Dual Identification: When Identification in Organizational Contexts Can Harm." Doctoral thesis, Alma Mater Studiorum - Università di Bologna, 2009. http://amsdottorato.unibo.it/1575/1/TESI_DOTTORATO_ULTIMA_CON_INDICEok.pdf.

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Avanzi, Lorenzo <1975&gt. "Dual Identification: When Identification in Organizational Contexts Can Harm." Doctoral thesis, Alma Mater Studiorum - Università di Bologna, 2009. http://amsdottorato.unibo.it/1575/.

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Coymak, Ahmet. "Associations Of Religious Identification, Secular Identification, Perceived Discrimination, And Political Trust With Ethnic And Societal (national) Identification." Master's thesis, METU, 2009. http://etd.lib.metu.edu.tr/upload/12610734/index.pdf.

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The current thesis extends research in the area of multiple social identities and identity conflict by focusing on both intergroup and intraindividual process underlying structures of identities, namely, religious, ethnic, and societal (national) identifications. In addition, it examined the influence of political trust, and perceived discrimination the relationship between ethnic and societal identification for disadvantaged ethnic groups in Turkey. Two studies were conducted to evaluate the process of identity organization both inter group and in group. While, the first study addresses intergroup differentiations of these identities, second study focused on intraindividual process of these identities'
structure. Supporting hypothesis stemming from Social Identity Theory and Optimal Distinctiveness Theory, political trust and perceived discrimination have roles of mediation in the relationship ethnic and societal identification, by contrast with secular and religious identities in the relationship. Results were discussed for their implications to politic context of the Turkey.
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Pozzulo, Joanna D. "Increasing the identification accuracy of child eyewitnesses with identification procedures." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1998. http://www.collectionscanada.ca/obj/s4/f2/dsk2/tape15/PQDD_0004/NQ27850.pdf.

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Pourmohammad-Namvar, Mehrzad. "Interaction entre identification et commande : identification pour la commande robuste." Grenoble INPG, 2001. http://www.theses.fr/2001INPG0004.

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Cette these presente les differents algorithmes optimaux qui identifient un modele nominal et quantifient l'erreur de modelisation dans les differentes topologies de systemes. Plus particulierement nous considerons la topologie de graphe, h , et 11. Notre approche est plutot dans le contexte de set-membership ou nous considerons les modeles rationnels et non-affines en les parametres. Ceci nous donne la possibilite d'identifier des modeles avec un ordre fixe et faible. Nous considerons surtout le cas ou le vrai systeme n'appartient pas a l'ensemble des modeles. Notre demarche est alors de trouver le meilleur modele ayant une distance minimale du vrai systeme et de trouver les bornes pire-de-cas pour l'erreur de modelisation. Ces distances sont exprimees dans les topologies de graphe, h et 11. Les algorithmes d'identifications sont bases sur la resolution des problemes d'optimisation convexes de type programmation lineaire (lp) ou inegalite matricielle lineaire (lmi). Nous adoptons deux strategies generales pour resoudre le probleme d'identification pour la commande. Dans la premiere strategie que nous appelons la methode simultanee, l'identification des parametres du modele et la quantification de l'incertitude sont realisees dans une seule etape, tandis que dans la deuxieme strategie (non-simultanee) l'identification du modele et la quantification de l'incertitude sont realisees dans deux etapes differentes. On demontre aussi que ces strategies sont applicables pour l'identification en boucle fermee ou l'objectif est de minimiser la distance (h ou 11) entre les fonctions de sensibilites nominale et reelle.
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Books on the topic "Identification"

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Joseph, Sandler, ed. Projection, identification, projective identification. London: Karnac, 1988.

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Joseph, Sandler, and Sigmund Freud Center for Study and Research in Psychoanalysis (Universiṭah ha-ʻIvrit bi-Yerushalayim), eds. Projection, identification, projective identification. Madison, Conn: International Universities Press, 1987.

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Fama, Maria. Identification. San Francisco, Calif: Malafemmina Press, 1991.

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Famà, Maria. Identification. San Francisco, Calif: Malafemmina Press, 1991.

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Bodden, Valerie. Identification. Mankato, MN: Creative Education, 2016.

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Hunsaker, Scott. Identification. New York: Routledge, 2023. http://dx.doi.org/10.4324/9781003419419.

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Sun, Liangliang, and Xiaowen Liu, eds. Proteoform Identification. New York, NY: Springer US, 2022. http://dx.doi.org/10.1007/978-1-0716-2325-1.

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Keesman, Karel J. System Identification. London: Springer London, 2011. http://dx.doi.org/10.1007/978-0-85729-522-4.

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Pintelon, Rik, and Johan Schoukens. System Identification. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2012. http://dx.doi.org/10.1002/9781118287422.

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Wilkinson, Caroline, and Christopher Rynn, eds. Craniofacial Identification. Cambridge: Cambridge University Press, 2012. http://dx.doi.org/10.1017/cbo9781139049566.

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Book chapters on the topic "Identification"

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Westberg, Karen L. "Using Teacher Rating Scales in The Identification of Students for Gifted Services." In Identification, 363–79. New York: Routledge, 2023. http://dx.doi.org/10.4324/9781003419419-18.

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Lohman, David F., and Megan Foley Nicpon. "Ability Testing & Talent Identification." In Identification, 287–335. New York: Routledge, 2023. http://dx.doi.org/10.4324/9781003419419-16.

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Hunsaker, Scott L. "Experience with Idealized Identification Procedures." In Identification, 251–84. New York: Routledge, 2023. http://dx.doi.org/10.4324/9781003419419-14.

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Hunsaker, Scott L., and Paul Shepherd. "Policy Perspectives on Gifted Education." In Identification, 121–42. New York: Routledge, 2023. http://dx.doi.org/10.4324/9781003419419-8.

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Ford, Donna Y. "Multicultural Theory and Gifted Education: Implications for the Identification of Two Underrepresented Groups." In Identification, 57–74. New York: Routledge, 2023. http://dx.doi.org/10.4324/9781003419419-4.

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Hunsaker, Scott L., Rebecca H. Odoardi, and Ellen Virginia Smith. "Stages of Gifted Identification." In Identification, 197–218. New York: Routledge, 2023. http://dx.doi.org/10.4324/9781003419419-12.

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Cramond, Bonnie, and Lu Wang. "The Audacity of Creativity Assessment." In Identification, 337–61. New York: Routledge, 2023. http://dx.doi.org/10.4324/9781003419419-17.

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Krisel, Sally. "Characteristics of Gifted Children as a Guide to Identification." In Identification, 75–97. New York: Routledge, 2023. http://dx.doi.org/10.4324/9781003419419-5.

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Slade, Mary L. "The Impact of Professional Standards in Gifted Education on the Identification of Giftedness & Talent." In Identification, 167–93. New York: Routledge, 2023. http://dx.doi.org/10.4324/9781003419419-10.

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Hunsaker, Scott L. "Information Theory as a Guide to Decision Making." In Identification, 3–23. New York: Routledge, 2023. http://dx.doi.org/10.4324/9781003419419-2.

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Conference papers on the topic "Identification"

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Sale, Kenneth E. "Signal predictions for a proposed fast neutron interrogation method." In Substance Identification Technologies, edited by Geoffrey L. Harding, Richard C. Lanza, Lawrence J. Myers, and Peter A. Young. SPIE, 1994. http://dx.doi.org/10.1117/12.171247.

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Khan, Siraj M. "Comparison of neutron-based technologies for the detection of contraband." In Substance Identification Technologies, edited by Geoffrey L. Harding, Richard C. Lanza, Lawrence J. Myers, and Peter A. Young. SPIE, 1994. http://dx.doi.org/10.1117/12.171273.

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Brown, Douglas R. "Cargo inspection system based on pulsed fast neutron analysis." In Substance Identification Technologies, edited by Geoffrey L. Harding, Richard C. Lanza, Lawrence J. Myers, and Peter A. Young. SPIE, 1994. http://dx.doi.org/10.1117/12.171246.

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Ahmad, Sheikh R., V. G. Foster, and D. Reynolds. "Laser scattering technique for noninvasive analysis of wastewater." In Substance Identification Technologies, edited by Geoffrey L. Harding, Richard C. Lanza, Lawrence J. Myers, and Peter A. Young. SPIE, 1994. http://dx.doi.org/10.1117/12.171254.

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Werle, Peter W. "High frequency modulation spectroscopy: a sensitive detection technique for atmospheric pollutants." In Substance Identification Technologies, edited by Geoffrey L. Harding, Richard C. Lanza, Lawrence J. Myers, and Peter A. Young. SPIE, 1994. http://dx.doi.org/10.1117/12.171229.

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Ritchie, Robert K., Frank J. Kuja, Ronald A. Jackson, Arthur J. Loveless, and Lucy L. Danylewich-May. "Recent developments in ion mobility spectrometry detection technology." In Substance Identification Technologies, edited by Geoffrey L. Harding, Richard C. Lanza, Lawrence J. Myers, and Peter A. Young. SPIE, 1994. http://dx.doi.org/10.1117/12.171230.

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Ritchie, Robert K., Paul C. Thomson, Reno F. DeBono, Lucy L. Danylewich-May, and Lena Kim. "Detection of explosives, narcotics, and taggant vapors by an ion mobility spectrometry particle detector." In Substance Identification Technologies, edited by Geoffrey L. Harding, Richard C. Lanza, Lawrence J. Myers, and Peter A. Young. SPIE, 1994. http://dx.doi.org/10.1117/12.171231.

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Hoglund, David E., and Daniel P. Lucero. "Performance assessment of heroin and cocaine vapor particle detection systems." In Substance Identification Technologies, edited by Geoffrey L. Harding, Richard C. Lanza, Lawrence J. Myers, and Peter A. Young. SPIE, 1994. http://dx.doi.org/10.1117/12.171232.

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Davidson, William R., William R. Stott, Richard Sleeman, and Alan K. Akery. "Synergy or dichotomy: vapor and particle sampling in the detection of contraband." In Substance Identification Technologies, edited by Geoffrey L. Harding, Richard C. Lanza, Lawrence J. Myers, and Peter A. Young. SPIE, 1994. http://dx.doi.org/10.1117/12.171233.

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Fortuna, Joseph J. "Statistical analysis of cocaine head-space vapors." In Substance Identification Technologies, edited by Geoffrey L. Harding, Richard C. Lanza, Lawrence J. Myers, and Peter A. Young. SPIE, 1994. http://dx.doi.org/10.1117/12.171234.

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Reports on the topic "Identification"

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Karpius, Peter Joseph. Isotope Identification. Office of Scientific and Technical Information (OSTI), September 2017. http://dx.doi.org/10.2172/1392888.

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St., M. Identification Protocol. RFC Editor, February 1993. http://dx.doi.org/10.17487/rfc1413.

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St., M., and M. Rose. Identification MIB. RFC Editor, February 1993. http://dx.doi.org/10.17487/rfc1414.

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Volpicella, Alessio, Toru Kitagawa, and Raffaella Giacomini. Uncertain identification. The IFS, April 2017. http://dx.doi.org/10.1920/wp.cem.2017.1817.

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Volpicella, Alessio, Toru Kitagawa, and Raffaella Giacomini. Uncertain Identification. The IFS, July 2020. http://dx.doi.org/10.1920/wp.cem.2020.3320.

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Nakamura, Emi, and Jón Steinsson. Identification in Macroeconomics. Cambridge, MA: National Bureau of Economic Research, October 2017. http://dx.doi.org/10.3386/w23968.

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OFFICE OF NAVAL RESEARCH ARLINGTON VA. Secure Identification System. Fort Belvoir, VA: Defense Technical Information Center, June 1997. http://dx.doi.org/10.21236/add018633.

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Browning, Martin, Ian Crawford, and Marike Knoef. The age-period cohort problem: set identification and point identification. Institute for Fiscal Studies, January 2012. http://dx.doi.org/10.1920/wp.cem.2012.0212.

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Taylor, James S., and Brett Cordes. Electro-Optic Identification Research Program: Probability of Identification and Performance Modeling. Fort Belvoir, VA: Defense Technical Information Center, September 2002. http://dx.doi.org/10.21236/ada629234.

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K. Ashley. Identification of Aircraft Hazards. Office of Scientific and Technical Information (OSTI), December 2006. http://dx.doi.org/10.2172/899282.

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