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Relevant bibliographies by topics / DES identification

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Academic literature on the topic 'DES identification'

Author: Grafiati

Published: 10 March 2023

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Journal articles on the topic "DES 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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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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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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Radtke, Kristen. "identification / identification." Fourth Genre: Explorations in Nonfiction 12, no. 2 (August 1, 2010): 89–95. http://dx.doi.org/10.2307/41939073.

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Sidorenkov, Andrey V., Eugene F. Borokhovski, Wladimir A. Stroh, and Elena A. Naumtseva. "Multiple Identifications of Employees in an Organization: Salience and Relationships of Foci and Dimensions." Behavioral Sciences 12, no. 6 (June 7, 2022): 182. http://dx.doi.org/10.3390/bs12060182.

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This research addresses: (1) the salience of employees’ social (organizational, sub-organizational, group, micro-group), interpersonal, and personal identifications and their dimensions (cognitive and affective); (2) and the relationship and structure of the identifications of employees in different areas of professional activity. The study was conducted on independent samples of employees in the socio-economic sphere (241 participants), in the law enforcement agency (265), and in higher education (172). To assess the respective identification foci and dimensions, the study employed four questionnaires. The personal identification was the weakest and the micro-group identification was the strongest for both dimensions in all samples. The affective dimension prevails over the cognitive in all identifications, except for interpersonal. Social identifications were significantly positively correlated to each other in all samples whereas personal identification was significantly negatively correlated with all social identifications (on the affective dimension) in two samples. The results expand our understanding of the identifications of employees in organizations.

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Dissertations / Theses on the topic "DES 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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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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Xing, Shutao. "Structural Identification and Damage Identification using Output-Only Vibration Measurements." DigitalCommons@USU, 2011. https://digitalcommons.usu.edu/etd/1067.

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This dissertation studied the structural identification and damage detection of civil engineering structures. Several issues regarding structural health monitoring were addressed. The data-driven subspace identification algorithm was investigated for modal identification of bridges using output-only data. This algorithm was tested through a numerical truss bridge with abrupt damage as well as a real concrete highway bridge with actual measurements. Stabilization diagrams were used to analyze the identified results and determine the modal characteristics. The identification results showed that this identification method is quite effective and accurate. The influence of temperature fluctuation on the frequencies of a highway concrete bridge was investigated using ambient vibration data over a one-year period of a highway bridge under health monitoring. The data were fitted by nonlinear and linear regression models, which were then analyzed. The substructure identification by using an adaptive Kalman filter was investigated by applying numerical studies of a shear building, a frame structure, and a truss structure. The stiffness and damping were identified successfully from limited acceleration responses, while the abrupt damages were identified as well. Wavelet analysis was also proposed for damage detection of substructures, and was shown to be able to approximately locate such damages. Delamination detection of concrete slabs by modal identification from the output-only data was proposed and carried out through numerical studies and experimental modal testing. It was concluded that the changes in modal characteristics can indicate the presence and severity of delamination. Finite element models of concrete decks with different delamination sizes and locations were established and proven to be reasonable. Pounding identification can provide useful early warning information regarding the potential damage of structures. This thesis proposed to use wavelet scalograms of dynamic response to identify the occurrence of pounding. Its applications in a numerical example as well as shaking table tests of a bridge showed that the scalograms can detect the occurrence of pounding very well. These studies are very useful for vibration-based structural health monitoring.

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Books on the topic "DES identification"

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

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

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

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

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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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Zhang, Guangjun. Star Identification. Berlin, Heidelberg: Springer Berlin Heidelberg, 2017. http://dx.doi.org/10.1007/978-3-662-53783-1.

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Book chapters on the topic "DES identification"

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Amos, Anne. "Identification and pathological identification." In On Being One's Self, 58–76. London: Routledge, 2022. http://dx.doi.org/10.4324/9781003266624-3.

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Juola, Patrick. "De-identification/Re-identification." In Encyclopedia of Big Data, 377–78. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-319-32010-6_334.

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Juola, Patrick. "De-identification/Re-identification." In Encyclopedia of Big Data, 1–2. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-319-32001-4_334-1.

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Nordmann, Rainer. "Identification." In Magnetic Bearings, 299–318. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-00497-1_11.

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Békés, Vera, and J. Christopher Perry. "Identification." In Encyclopedia of Personality and Individual Differences, 2132–35. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-319-24612-3_1386.

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Gstach, Dieter. "Identification." In Applied Optimization, 89–107. Boston, MA: Springer US, 2002. http://dx.doi.org/10.1007/978-1-4615-0007-0_6.

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Longhofer, Jeffrey. "Identification." In A-Z of Psychodynamic Practice, 103–5. London: Macmillan Education UK, 2015. http://dx.doi.org/10.1007/978-1-137-03387-1_37.

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Cramer, Phebe. "Identification." In The Development of Defense Mechanisms, 84–112. New York, NY: Springer New York, 1991. http://dx.doi.org/10.1007/978-1-4613-9025-1_5.

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Martaj, Nadia, and Mohand Mokhtari. "Identification." In Apprendre et maîtriser LabVIEW par ses applications, 559–600. Berlin, Heidelberg: Springer Berlin Heidelberg, 2014. http://dx.doi.org/10.1007/978-3-642-45335-9_15.

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Disney, R. H. L. "Identification." In Scuttle Flies: The Phoridae, 203–379. Dordrecht: Springer Netherlands, 1994. http://dx.doi.org/10.1007/978-94-011-1288-8_8.

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Conference papers on the topic "DES 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 "DES 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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