Letteratura scientifica selezionata sul tema "Verification de visage"

Facial verification is vital in domains like Heathcare, Identity verification, etc. study presents a sophisticated facial verifying system utilizing state-of-the-art technologies: ArcFace is utilized for the edification of the model, while FaceNet is employed for the elicitation of facial characteristics. Initially, YOLO is deployed to discern and extricate visages from the input effigies. Subsequently, FaceNet is utilized to derive high-caliber facial attributes. In the final stage, ArcFace is employed for the model's edification, thus augmenting its robustness and precision. The apparatus gauges facial resemblance employing the Euclidean distance metric and is appraised through measures such as recall, accuracy, and precision. This approach yields a dependable and accurate facial verification system, thereby enhancing operational efficiency in practical applications.. Keywords – You Only Look Once (YOLO), ArcFace, Convolutional Neural Network (CNN), FaceNet, Machine Learning, Deep Learning, Euclidean Distance.

On the basis of experimental verification, the optimum processing conditions of CaO-B2O3-SiO2(CBS) system transparent glass-ceramics were obtained. Composition of main raw powders (wt%) was:CaO 38%,SiO240%,B2O312%.The precursor glass was prepared by melting method and annealed at 560°C for 2h and cooled to room temperature at a speed of 5°C/min.The best nucleating agent is P2O5. The appropriate heat treatment regime to precursor glass was determined to be 2h at 600°C for nucleation and 3h at 780°C for crystallizition.Under this condition,the transmittion of glass-ceramics at the range of visable light is 72% in average and Sm3+keep good luminescence property doped in this host material.

Abstract: The "Eye Ball Gazing and Face-Based Ultra Digital Security System" invents a remarkable surveillance mechanism by fusing recognition of faces with eye ball movement monitoring. It gathers and safely retains people's unique visages and eyeball peering patterns uponparticipation. It sets up an authentication system with multiple factors that bolsters security and cuts the chance of unlicensed entry if access is requested. This novel solution to the continually evolving requirements of technological safety distinguishes real-time eye-ball peering information with recorded sequences, besides ensuring human facial features. Sophisticated facial identification and eye motion monitoring techniques are put together in the "Eye Ball Gazing and Face-Based Ultra Digital Security System" to produce an effective validation structure in the realm of digital safety. When a person signs up, the tool confidentially saves distinct facial traits and eyeball staring movements. Upon access request, the documented data is cross-referenced with actual time eyeball gazing sequences, and recognition offacial features is utilized to confirm ID in addition.The simultaneous use of both of these methods oflogin minimizes the possibility of inappropriate entry and improves confidentiality, which requiresa multi-step verification procedure. In the current age of technology, this groundbreaking solution guarantees top-notch security and accessibility control.

Near Infrared Reflectance Spectroscopy (NIRS), coupled with fiber optic probes, has been shown to be a quick and reliable analytical tool for quality assurance and quality control in the pharmaceutical industry, both for verifications of raw materials and quantification of the active ingredients in final products. In this paper, a typical pharmaceutical product, hydrocortisone sodium succinate, is used as an example for the application of NIR spectroscopy for quality control. In order to develop an NIRS method with higher precision and accuracy than the official UV/VIS spectroscopic method (BP '99), 19 samples, taken from one year?s production and several prepared in the laboratory, having a hydrocortisone sodium succinate concentration in the range from 89.05%to 95.83 %, were analysed by NIR and UV/VIS spectroscopy. Three frequency ranges: 5939.73-5627.32 cm-1; 4863.64 - 4574.36 cm-1; 4308.23-4200.24 cm-1, with the best positive correlation between the changes in the spectral and concentration data, were chosen. The validity of the developed NIRS chemometric method for the determination of the hydrocortisone sodium succinate concentration, constructed by the partial least squares (PLS) regression technique, is discussed. A correlation coefficient of 0.9758 and a standard error of cross validation (RMSECV)of 1.06%were found between theUV/VISand theNIRspectroscopic results of the hydrocortisone sodium succinate concentration in the samples.

ES. El presente artículo analiza, desde una perspectiva semiótica, las posibilidades y limitaciones del cómic como lenguaje empleado para documentar hechos efectivamente acaecidos. Dado que su carácter referencial no puede edificarse sobre propiedades inherentes a un dispositivo técnico despojado de la indicialidad de los registros fotográficos y fonográficos, el cómic documental recurre a una serie de mecanismos auxiliares tendientes a conferir legitimidad a la instancia de enunciación como productora de un discurso veraz. Este trabajo muestra, a partir de un recorrido por obras destacadas del campo, que la elección de estos recursos viene determinada, en cada caso, por el (sub)género en el que el texto se inscribe, que puede ser más cercano al reportaje periodístico o más afín a los géneros de la narrativa clásica. Los mecanismos empleados, sin embargo, no autorizan a soslayar el problema que se deriva de que la representación de los hechos tiene lugar a través de ilustraciones que se encuentran por completo bajo el control del autor-dibujante, lo que acaba por ofrecer una representación de la realidad que se halla interpretada en el mismo nivel del componente visual, con los evidentes ‘riesgos’ que de ello se derivan. Se concluye que el carácter opaco o no naturalista del cómic, en tanto que texto compuesto por secuencias de imágenes fijas hechas a mano, tiene, por lo menos, el mérito de recordar al lector que se encuentra siempre ante un discurso y no ante las cosas mismas. Asimismo, la combinación de mecanismos de control –multiplicidad de testigos y de documentos, consultas con expertos, etc.– y de potentes recursos expresivos tomados del cine (documental y de ficción) así como del campo periodístico, hacen del cómic un medio dúctil, capaz de configurar textos polifónicos en los que adquieren protagonismo aquellas perspectivas que son ajenas a las narrativas dominantes de la historia. ***EN. In this article, the possibilities and limits of comics as a language for documenting events that have actually taken place are analyzed from a semiotic perspective. Since its referential character cannot be constructed on the basis of properties inherent to a technical device lacking the indexicality of photographic and phonographic media, documentary comics have recourse to a set of supplementary mechanisms aimed at conferring legitimacy to the enunciating entity as the producer of a genuine discourse. Based on the examination of a number of works in the field, this article demonstrates that the choice of these resources is determined on a case-by-case basis and based on the (sub)genre to which the text belongs to, which may be either closer to journalistic reportage or more akin to classic narrative genres. The mechanisms employed, however, do not allow us to bypass the issues which derives from the fact that events and facts are reported by means of illustrations over which the author-illustrator has total control. This, in turn, ends up offering a representation of reality that is interpreted on the same level of the visual component, with the obvious 'risks' that it can imply. It is concluded that the opaque or non-naturalistic character of comics, as a text composed of sequences of still images made by hand, has at least the benefit of allowing the reader to keep in mind that they are in the presence of a discourse, and not reality itself. Similarly, the combination of various verification mechanisms, such as testimonies, expertise and other documents, with powerful expressive resources derived from the cinema (documentary and fiction movies) as well as journalism, makes comics a ductile medium with the properties enabling the production of polyphonic narratives that put into the light perspectives alternative voices, far from the dominant narratives of history. *** PT. Esse artigo analisa, a partir de uma perspectiva semiótica, as possibilidades e limitações dos quadrinhos como uma linguagem usada para documentar eventos que realmente aconteceram. Como seu caráter referencial não pode ser construído com base em propriedades inerentes a um dispositivo técnico desprovido de indexicalidade dos registros fotográficos e fonográficos, os quadrinhos documentais recorrem a uma série de mecanismos auxiliares que visam conferir legitimidade à instância de enunciação como produtora de um discurso verdadeiro. Esse artigo mostra, com base no estudo de alguns trabalhos da área, que a escolha desses recursos é determinada, em cada caso, pelo (sub)gênero em que o texto está inscrito, que pode ser mais próximo da reportagem jornalística ou mais semelhante aos gêneros da narrativa clássica. Os mecanismos empregados, no entanto, não permitem evitar o problema que surge da perspectiva de que a representação dos fatos ocorre por meio de ilustrações que estão totalmente sob o controle do autor-desenhista, o que acaba oferecendo uma representação da realidade que é interpretada no mesmo nível do componente visual, com os óbvios "riscos" que isso implica. Conclui-se que o caráter opaco ou não naturalista dos quadrinhos, como um texto composto de sequências de imagens estáticas feitas à mão, tem, pelo menos, o mérito de lembrar ao leitor que ele está sempre diante de um discurso e não das coisas em si. Da mesma forma, a combinação de mecanismos de controle – múltiplos testemunhos e documentos, consultas a especialistas, etc.– e de poderosos recursos expressivos extraídos do cinema (documentário e ficção), bem como do campo do jornalismo, fazem dos quadrinhos um meio dúctil, capaz de configurar textos polifônicos nos quais as perspectivas alheias às narrativas dominantes da história ganham destaque. *** FR. Cet article analyse, selon une perspective sémiotique, les possibilités et les limites de la bande dessinée en tant que langage utilisé pour documenter des événements ayant réellement eu lieu. Comme son caractère référentiel ne peut être construit sur la base de propriétés inhérentes à un dispositif technique dépourvu de l'indexicalité des supports photographiques et phonographiques, la BD documentaire a recourt à un ensemble de mécanismes auxiliaires visant à conférer à l'instance d’énonciation une légitimité en tant que productrice d'un discours vrai. À partir de l'étude de certains travaux du domaine, cet article montre que le choix de ces ressources est déterminé, au cas par cas, par le (sous-)genre dans lequel le texte s'inscrit, qui peut être plus proche du reportage journalistique ou s’apparenter davantage aux genres narratifs classiques. Les mécanismes utilisés ne permettent cependant pas d’éviter le problème lié au fait que la représentation des faits est réalisée au moyen d'illustrations sur lesquelles l'auteur-dessinateur a un contrôle total. La représentation de la réalité qui est ainsi proposée est alors interprétée au même niveau que l’élément visuel, avec les « risques » évidents que cela implique. Nous concluons en affirmant que le caractère opaque ou non naturaliste de la bande dessinée, en tant que texte constitué de séquences d'images statiques dessinées à la main, a au moins le mérite de rappeler au lecteur qu'il est toujours devant un discours, et non face aux choses elles-mêmes. De même, la combinaison de divers mécanismes de contrôle – témoignages et documents multiples, consultations d'experts, etc. – et de ressources expressives puissantes issues du cinéma (documentaire et de fiction), mais aussi du journalisme, fait de la bande dessinée un média ductile, à même de produire des textes polyphoniques qui mettent en avant des perspectives éloignées des récits dominants de l'histoire. ***

Ce travail de thèse vise à régénérer des clés crypto-biométriques (clés cryptographiques obtenues avec des données biométriques) résistantes aux méthodes de cryptanalyse quantique. Le défi est d'obtenir des clés avec une haute entropie pour avoir un haut niveau de sécurité, sachant que l'entropie contenue dans les références biométriques limite l'entropie de la clé. Notre choix a été d'exploiter la biométrie faciale.Nous avons d'abord créé un système de reconnaissance faciale de pointe basé en utilisant des bases de données publiques. Notre architecture utilise des réseaux de neurones profonds avec une fonction de perte‘Triplet loss'. Nous avons participé à deux Projets européens H2020 pour lesquelles nous avons fournit des adapations de notres systeme de reconnaise de visage. Nous avons également participé au challenge multimédia NIST SRE19 avec la version finale de notre système classique de reconnaissance faciale qui a donnée d'excellents résultats.Pour obtenir des clés crypto-biométriques, il est nécessaire de disposer de références biométriques binaires. Pour obtenir les représentations binaires directement à partir d'images de visage, nous avons proposé une méthode novatrice tirant parti des auto-encodeurs et la biométrie faciale classique précédemment mise en œuvre. Nous avons également exploité les représentations binaires pour créer un système de vérification de visage cancelable.Concernant notre objectif final, générer des clés crypto-biométriques, nous nous sommes concentrés sur les clés symétriques. Le chiffrement symétrique est menacé par l'algorithme Groover parce qu'il réduit la complexité d'une attaque par force brute de 2(N/2).. Pour atténuer le risque introduit par l'informatique quantique, nous devons augmenter la taille des clés. Pour cela, nous avons essayé de faire la représentation binaire plus longue et plus discriminante.Nous avons réussi à régénérer des clés crypto-biométriques de plus de 400 bits grâce à la qualité des plongements binaires. Les clés crypto-biométriques ont une haute entropie et résistent à la cryptanalyse quantique selon le PQCrypto projet car ils satisfont à l'exigence de longueur. Les clés sont régénérées à l'aide d'un schéma de "fuzzy commitment" en utilisant les codes BCH
This thesis aims to regenerate crypto-biometric keys (cryptographic keys obtained with biometric data) that are resistant to quantum cryptanalysis methods. The challenge is to obtain keys with high entropy to have a high level of security, knowing that the entropy contained in biometric references limits the entropy of the key. Our choice was to exploit facial biometrics.We first created a state-of-the-art face recognition system based on public frameworks and publicly available data based on DNN embedding extractor architecture and triplet loss function. We participated in two H2020 projects. For the SpeechXRays project, we provided implementations of classical and cancelable face biometrics. For the H2020 EMPATHIC project, we created a face verification REST API. We also participated in the NIST SRE19 multimedia challenge with the final version of our classical face recognition system.In order to obtain crypto-biometric keys, it is necessary to have binary biometric references. To obtain the binary representations directly from face images, we proposed an original method, leveraging autoencoders and the previously implemented classical face biometrics. We also exploited the binary representations to create a cancelable face verification system.Regarding our final goal, to generate crypto-biometric keys, we focused on symmetric keys. Symmetric encryption is threatened by the Groover algorithm because it reduces the complexity of a brute force attack on a symmetric key from 2N à 2(N/2). To mitigate the risk introduced by quantum computing, we need to increase the size of the keys. To this end, we tried to make the binary representation longer and more discriminative. For the keys to be resistant to quantum computing, they should have double the length.We succeeded in regenerating crypto-biometric keys longer than 400bits (with low false acceptance and false rejection rates) thanks to the quality of the binary embeddings. The crypto-biometric keys have high entropy and are resistant to quantum cryptanalysis, according to the PQCrypto project, as they satisfy the length requirement. The keys are regenerated using a fuzzy commitment scheme leveraging BCH codes

La présente thèse s'intéresse à l'utilisation de méta-données textuelles pour l'analyse d'image. Nous cherchons à utiliser ces informations additionelles comme supervision faible pour l'apprentissage de modèles de reconnaissance visuelle. Nous avons observé un récent et grandissant intérêt pour les méthodes capables d'exploiter ce type de données car celles-ci peuvent potentiellement supprimer le besoin d'annotations manuelles, qui sont coûteuses en temps et en ressources. Nous concentrons nos efforts sur deux types de données visuelles associées à des informations textuelles. Tout d'abord, nous utilisons des images de dépêches qui sont accompagnées de légendes descriptives pour s'attaquer à plusieurs problèmes liés à la reconnaissance de visages. Parmi ces problèmes, la vérification de visages est la tâche consistant à décider si deux images représentent la même personne, et le nommage de visages cherche à associer les visages d'une base de données à leur noms corrects. Ensuite, nous explorons des modèles pour prédire automatiquement les labels pertinents pour des images, un problème connu sous le nom d'annotation automatique d'image. Ces modèles peuvent aussi être utilisés pour effectuer des recherches d'images à partir de mots-clés. Nous étudions enfin un scénario d'apprentissage multimodal semi-supervisé pour la catégorisation d'image. Dans ce cadre de travail, les labels sont supposés présents pour les données d'apprentissage, qu'elles soient manuellement annotées ou non, et absentes des données de test. Nos travaux se basent sur l'observation que la plupart de ces problèmes peuvent être résolus si des mesures de similarité parfaitement adaptées sont utilisées. Nous proposons donc de nouvelles approches qui combinent apprentissage de distance, modèles par plus proches voisins et méthodes par graphes pour apprendre, à partir de données visuelles et textuelles, des similarités visuelles spécifiques à chaque problème. Dans le cas des visages, nos similarités se concentrent sur l'identité des individus tandis que, pour les images, elles concernent des concepts sémantiques plus généraux. Expérimentalement, nos approches obtiennent des performances à l'état de l'art sur plusieurs bases de données complexes. Pour les deux types de données considérés, nous montrons clairement que l'apprentissage bénéficie de l'information textuelle supplémentaire résultant en l'amélioration de la performance des systèmes de reconnaissance visuelle
This dissertation delves into the use of textual metadata for image understanding. We seek to exploit this additional textual information as weak supervision to improve the learning of recognition models. There is a recent and growing interest for methods that exploit such data because they can potentially alleviate the need for manual annotation, which is a costly and time-consuming process. We focus on two types of visual data with associated textual information. First, we exploit news images that come with descriptive captions to address several face related tasks, including face verification, which is the task of deciding whether two images depict the same individual, and face naming, the problem of associating faces in a data set to their correct names. Second, we consider data consisting of images with user tags. We explore models for automatically predicting tags for new images, i. E. Image auto-annotation, which can also used for keyword-based image search. We also study a multimodal semi-supervised learning scenario for image categorisation. In this setting, the tags are assumed to be present in both labelled and unlabelled training data, while they are absent from the test data. Our work builds on the observation that most of these tasks can be solved if perfectly adequate similarity measures are used. We therefore introduce novel approaches that involve metric learning, nearest neighbour models and graph-based methods to learn, from the visual and textual data, task-specific similarities. For faces, our similarities focus on the identities of the individuals while, for images, they address more general semantic visual concepts. Experimentally, our approaches achieve state-of-the-art results on several standard and challenging data sets. On both types of data, we clearly show that learning using additional textual information improves the performance of visual recognition systems

La présente thèse s'intéresse à l'utilisation de méta-données textuelles pour l'analyse d'image. Nous cherchons à utiliser ces informations additionelles comme supervision faible pour l'apprentissage de modèles de reconnaissance visuelle. Nous avons observé un récent et grandissant intérêt pour les méthodes capables d'exploiter ce type de données car celles-ci peuvent potentiellement supprimer le besoin d'annotations manuelles, qui sont coûteuses en temps et en ressources. Nous concentrons nos efforts sur deux types de données visuelles associées à des informations textuelles. Tout d'abord, nous utilisons des images de dépêches qui sont accompagnées de légendes descriptives pour s'attaquer à plusieurs problèmes liés à la reconnaissance de visages. Parmi ces problèmes, la vérification de visages est la tâche consistant à décider si deux images représentent la même personne, et le nommage de visages cherche à associer les visages d'une base de données à leur noms corrects. Ensuite, nous explorons des modèles pour prédire automatiquement les labels pertinents pour des images, un problème connu sous le nom d'annotation automatique d'image. Ces modèles peuvent aussi être utilisés pour effectuer des recherches d'images à partir de mots-clés. Nous étudions enfin un scénario d'apprentissage multimodal semi-supervisé pour la catégorisation d'image. Dans ce cadre de travail, les labels sont supposés présents pour les données d'apprentissage, qu'elles soient manuellement annotées ou non, et absentes des données de test. Nos travaux se basent sur l'observation que la plupart de ces problèmes peuvent être résolus si des mesures de similarité parfaitement adaptées sont utilisées. Nous proposons donc de nouvelles approches qui combinent apprentissage de distance, modèles par plus proches voisins et méthodes par graphes pour apprendre, à partir de données visuelles et textuelles, des similarités visuelles spécifiques à chaque problème. Dans le cas des visages, nos similarités se concentrent sur l'identité des individus tandis que, pour les images, elles concernent des concepts sémantiques plus généraux. Expérimentalement, nos approches obtiennent des performances à l'état de l'art sur plusieurs bases de données complexes. Pour les deux types de données considérés, nous montrons clairement que l'apprentissage bénéficie de l'information textuelle supplémentaire résultant en l'amélioration de la performance des systèmes de reconnaissance visuelle.

The aim of the master's thesis "Analysis of Selected Payment Protocols" is overview of used payment. The first part is concentrated on data security, the second is dedicated to payment protocols, their characteristics, used technology and security elements. The third part is dedicated to verification and simulation tools. Comparison of particular payment protocols and of particular verification tools is part of this work too. Experimental part of the thesis is focused on formalization and verification of the payment protocol Visa 3-D Secure, of the protocol NetBill and on formalization of two subprotocols of SET.

Current regulations specify the minimum number of operators required per nuclear power plant. However, these requirements are based on the operation of large nuclear power plants, which are not inherent safe and can result in a meltdown. For newly developed small nuclear reactors, the current number of operators seems to be excessive causing the technology to be less competitive. Before the number of required operators can be optimised, it should be demonstrated that human errors will not endanger or cause risk to the plant or public. For this study, a small pebble bed High Temperature Reactor (HTR) Nuclear Power Plant (NPP), the Th-100, was evaluated. The inherent safety features of this type of nuclear reactor include independent barriers for fission product capture and passive heat dissipation during a loss of coolant. The control and instrumentation architecture include two independent protection systems. The Control and Limitation System is the first protection system to react if the reactor parameters exceed those of the normal operational safe zone. If the Control and Limitation System fail to maintain the reactor within the safe zone, the Reactor Protection System would at that time operate and force the reactor to a safe state. Both these automated protection systems are installed in a control room local to the reactor building, protected from adverse conditions. In addition, it is connected to a semi-remote control room, anticipated as a multi-unit control room to include the monitoring and control of the auxiliary systems. Probable case studies of human error associated with multi-unit control rooms were evaluated against the logic of the Control and Limitation System. Fault Tree Analysis was used to investigate all possible failures. The evaluation determined the reliability of the Control and Limitation System and highlighted areas which design engineers should take into account if a higher reliability is required. The scenario was expanded, applying the same methods, to include the large release of fission products in order to verify the reliability calculations. The probability of a large release of fission products compared with studies done on other nuclear installations revealed to be much less for the evaluated HTR as was expected. As the study has proved that human error cannot have a negative influence on the safety of the reactor, it can be concluded that the first step has been met which is required, when applying for a waiver to utilise a multi-unit control room for the small pebble bed HTR NPP. Also, from the study, it is recommended that a practical approach be applied for the evaluation of operator duties on a live plant, to optimise the number of operators required. This in turn will position the inherent safe HTR competitively over other power stations.
MIng (Nuclear Engineering), North-West University, Potchefstroom Campus, 2015

The birth of the child in transnational commercial surrogacy leads to a protracted process of staking claim. In this chapter, the focus is especially on the national and international laws that are invoked by foreign parents and foreign consulates to grant citizenship to the newborn. The applications for citizenship from their home countries, and the exit visa from India lead to many processes of bureaucratic verification and authentication of the genetic tie between the child and the intended parent(s) and the surrogate mother. Seeking identity here are both the new parents and the newborn. Through the birth certificate and the DNA test paternity is identified, while a parallel process seeks to ascertain maternity through the surrogate mother—who incidentally has rejected her tie to the newborn as part of the contractual requirements! Through the narratives of three foreign nationals navigating the citizenship process—international laws regarding surrogacy, kinship and citizens are analysed.

AbstractThe future of manufacturing processes is the fully autonomous operation of machine tools. The reliable autonomous operation of machine tools calls for the integration of inline quality control systems that will be able to assess in real time the process status and ensure that the machine tool, process and workpiece are complying with the manufacturing tolerances and requirements. Sensor integrated tooling for machining processes can significantly contribute towards this goal as they can facilitate monitoring close to the actual process. However, most of the solutions proposed so far are highly expensive or very complex to integrate and operate in an industrial environment. To this end, this paper proposes an approach for a sensor integrated vise using low-cost industrial sensors that can easily be integrated in existing machine tools in a non-invasive fashion. The development and dynamic analysis of the system is presented, along with an experimental verification against a lab-scale, high accuracy sensing setup

Abstract This paper presents a pragmatic approach for automating set-up and fixture planning for 3-axis machining on CNC machines. Although the larger project encompasses automation and integration of all aspects of machining feature recognition, tolerance charting, high level (macro) planning, and detailed (micro) planning, this paper focuses only on set-up and fixture planning. Only standard modular fixtures are considered (tooling plates, rest pads, pin locators, strap clamps, and vises). In set-up planning we consider not only similar tool approach directions and processes for feature grouping, but also spatial constraints in machines, tools and fixtures. The approach presented here for fixture planning combines elements of both geometric reasoning and feature-based approaches. Set-ups are automatically planned based on the volumes to be removed in each workpiece orientation and the instantaneous state of the stock is tracked at the different stages of the proposed plan. Also verification techniques use feature information to estimate possible collisions between fixtures and volumes to be removed. The fixture planning algorithm is based on both the 3-2-1 locating principle and Vise clamping methods. The overall system architecture is modular, allowing the possibility of selective use of the modules by other developers of CAPP systems. The process planning system exploits the capabilities of commercial toolkits for geometric modeling (ACIS) and NC toolpath generation (STRATA).

Abstract In situ values of Young's modulus and Poisson's ratio for thermal spray coatings are needed to evaluate properties and characteristics of thermal spray coatings such as residual stresses, in-service stresses, bond strength, fracture toughness, and fatigue crack growth rates. It is important to have methods documented in detail so that people can follow the document and use the methods. Such a document requires more pages than are allowed in conference proceeding and journal papers. Thus, Recommended Practices and Standards describing these methods are needed. Currently, there is not a recommended practice or standard for evaluating Young's modulus and Poisson's ratio for thermal spray coatings. The ASM International Thermal Spray Society has recognized this need and formed a committee on Recommended Practices for Thermal Spray Coatings. This paper describes one of the recommended practices being written by the Mechanical Properties Evaluation Subcommittee of the Recommended Practices Committee. The specimen is a coated substrate in the form of a cantilever beam. The method is easy to use and inexpensive. The equipment needed is a vise or clamping fixture, strain gages, a strain indicator, a micrometer, a ruler, a hanger, and a set of weights. The specimen is easy to machine and spray. The loading is easy to apply and remains constant during readings. The method can be used to evaluate Young's modulus and Poisson's ratio in tension or compression. A description of the method, a verification, and a sensitivity analysis was done and published in Reference [1]. Some of the details of implementing the method and the data sheet are presented here.