Relevant bibliographies by topics / Intelligent Instrumentaion

Academic literature on the topic 'Intelligent Instrumentaion'

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Published: 6 September 2023

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Journal articles on the topic "Intelligent Instrumentaion"

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Harper, A. M., and S. A. Liebman. "Intelligent instrumentation." Journal of Research of the National Bureau of Standards 90, no. 6 (November 1985): 453. http://dx.doi.org/10.6028/jres.090.041.

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Preece, C. "Intelligent Instrumentation." Electronics and Power 32, no. 3 (1986): 233. http://dx.doi.org/10.1049/ep.1986.0148.

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Clarke, D. W. "Intelligent instrumentation." Transactions of the Institute of Measurement and Control 22, no. 1 (March 2000): 3–27. http://dx.doi.org/10.1177/014233120002200102.

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Howell, S. K., and T. D. S. Hamilton. "Intelligent instrumentation." Measurement Science and Technology 1, no. 12 (December 1, 1990): 1265–73. http://dx.doi.org/10.1088/0957-0233/1/12/001.

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Clarke, D. W. "Intelligent instrumentation." Transactions of the Institute of Measurement and Control 22, no. 1 (January 1, 2000): 3–27. http://dx.doi.org/10.1191/014233100675191926.

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Jakuš, Vladimír. "Artificial Intelligence in Chemistry." Collection of Czechoslovak Chemical Communications 57, no. 12 (1992): 2413–51. http://dx.doi.org/10.1135/cccc19922413.

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The definition of artificial intelligence and the associated tasks of this branch of science are discussed. The tasks include pattern recognition, adaptation and learning, problem solving by means of expert systems or neural networks, and understanding the natural language and communication with a machine in it. The principles of problem solving are analyzed. It is demonstrated how artificial intelligence-based computer programs in which chemical expertise is encoded assist in structure elucidation, in the investigation of relations between structure and biological activity or chromatographic retention, etc.; problems emerging in the synthesis planning with a retrosynthetic analysis, or in the planning of experiments and intelligent consultations are dealt with. Several models used for structure elucidation and synthesis planning are evaluated. An overview is presented of additional expert systems which, along with artificial intelligence-based robotics, are used in intelligent instrumentation. Also discussed is the role of neural networks, which begin to be successfully employed in structure elucidation, synthesis planning, in intelligent instrumentation and in the treatment of natural languages. They are expected to be an important tool in the implementation of intelligent systems for the classification of chemical databases and prediction of properties of molecules.
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Beckman, R. J. "Intelligent instrumentation - Discussion." Journal of Research of the National Bureau of Standards 90, no. 6 (November 1985): 464. http://dx.doi.org/10.6028/jres.090.042.

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Kohoutek, H. J. "Intelligent instrumentation: a quality challenge." ACTA IMEKO 3, no. 1 (May 7, 2014): 47. http://dx.doi.org/10.21014/acta_imeko.v3i1.195.

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<p>This is a reissue of a paper which appeared in ACTA IMEKO 1988, Proceedings of the 11th Triennial World Congress of the International Measurement Confederation (IMEKO), "Instrumentation for the 21st century", 16.-21.10.1988, Houston, pp. 337-345.</p><p>After a review and description of current trends in the design of electronic measurement and analytical instrumentation, changes in its application and use, and of associated quality issues, this paper deals with new quality issues emerging from the expected increase of artificial intelligence impact on system design and implementation strategies. The concept of knowledge quality in all its aspects (i.e. knowledge levels, representation, storage, and processing) is identified as the key new issue. Discussion of crucial knowledge quality attributes and associated assurance strategies suggests the need to enrich the assurance sciences and technologies by the methods and tools of applied epistemology. Described results from current research and investigation, together with first applications of artificial intelligence to particular analytical instruments, lead to conclusion that the conceptual framework of quality management is, in general, adequate for successful resolution of all quality issues associated with intelligent instrumentation.</p>
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Boettcher, J., and H. R. Traenkler. "Trends in Intelligent Instrumentation." IFAC Proceedings Volumes 22, no. 18 (November 1989): 241–48. http://dx.doi.org/10.1016/s1474-6670(17)52849-9.

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Yadova, N., and S. Osiko. "Artificial Intelligence: Application and Development Prospects on the Example of Rocket and Space Instrumentation." Scientific Research and Development. Economics of the Firm 11, no. 2 (July 12, 2022): 54–59. http://dx.doi.org/10.12737/2306-627x-2022-11-2-54-59.

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The presented article deals with the implementation of artificial intelligence technologies in the instrument-making industry. The statistics of the use of systems with elements of artificial intelligence are analyzed. It presents the problems of legal regulation of artificial intelligence systems in the Russian Federation. In this regard, the purpose of the article is, on the one hand, to give the reader some information on state of intelligent systems in rocket and space instrumentation in the Russian Federation, and on the other hand, to identify the most promising areas of development in this area.
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Dissertations / Theses on the topic "Intelligent Instrumentaion"

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Llort, Sánchez Germán M. "Intelligent instrumentation techniques to improve the traces information-volume ratio." Doctoral thesis, Universitat Politècnica de Catalunya, 2015. http://hdl.handle.net/10803/326469.

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With ever more powerful machines being constantly deployed, it is crucial to manage the computational resources efficiently. This is important both from the point of view of the individual user, who expects fast results; and the supercomputing center hosting the whole infrastructure, that is interested in maximizing its overall productivity. Nevertheless, the real sustained performance achieved by the applications can be significantly lower than the theoretical peak performance of the machines. A key factor to bridge this performance gap is to understand how parallel computers behave. Performance analysis tools are essential not only to understand the behavior of parallel applications, but to identify why performance expectations might not have been met, serving as guidelines to improve the inefficiencies that caused poor performance, and driving both software and hardware optimizations. However, detailed analysis of the behavior of a parallel application requires to process a large amount of data that also grows extremely fast. Current large scale systems already comprise hundreds of thousands of cores, and upcoming exascale systems are expected to assemble more than a million processing elements. With such number of hardware components, the traditional analysis methodologies consisting in blindly collecting as much data as possible and then performing exhaustive lookups are no longer applicable, because the volume of performance data generated becomes absolutely unmanageable to store, process and analyze. The evolution of the tools suggests that more complex approaches are needed, incorporating intelligence to perform competently the challenging and important task of detailed analysis. In this thesis, we address the problem of scalability of performance analysis tools in large scale systems. In such scenarios, in-depth understanding of the interactions between all the system components is more compelling than ever for an effective use of the parallel resources. To this end, our work includes a thorough review of techniques that have been successfully applied to aid in the task of Big Data Analytics in fields like machine learning, data mining, signal processing and computer vision. We have leveraged these techniques to improve the analysis of large-scale parallel applications by automatically uncovering repetitive patterns, finding data correlations, detecting performance trends and further useful analysis information. Combinining their use, we have minimized the volume of performance data captured from an execution, while maximizing the benefit and insight gained from this data, and have proposed new and more effective methodologies for single and multi-experiment performance analysis.
Con el incesante aumento de potencia y capacidad de los superordenadores, la habilidad de emplear de forma efectiva todos los recursos disponibles se ha convertido en un factor crucial. La necesidad de un uso eficiente radica tanto en la aspiración de los usuarios por obtener resultados en el menor tiempo posible, como en el interés del propio centro de cálculo que alberga la infraestructura computacional por maximizar la productividad de los recursos. Sin embargo, el rendimiento real que las aplicaciones son capaces de alcanzar suele ser significativamente menor que el rendimiento teórico de las máquinas. Y la clave para salvar esta distancia consiste en comprender el comportamiento de las máquinas paralelas. Las herramientas de análisis de rendimiento son instrumentos fundamentales no solo para entender como funcionan las aplicaciones paralelas, sino también para identificar los problemas por los que el rendimiento obtenido dista del esperado, sirviendo como guías para mejorar aquellas deficiencias software y/o hardware que son causas de degradación. No obstante, un análisis en detalle del comportamiento de una aplicación paralela requiere procesar una gran cantidad de datos que crece extremadamente rápido. Los sistemas actuales de gran escala ya comprenden cientos de miles de procesadores, y se espera que los inminentes sistemas exa-escala reunan millones de elementos de procesamiento. Con semejante número de componentes, las estrategias tradicionales de obtención indiscriminada de datos para mejorar la precisión de las herramientas de análisis caerán en desuso debido a las dificultades que entraña almacenarlos y procesarlos. En este aspecto, la evolución de las herramientas sugiere que son necesarios métodos más sofisticados, que incorporen inteligencia para desarrollar la tarea de análisis de manera más competente. Esta tesis aborda el problema de escalabilidad de las herramientas de análisis en sistemas de gran escala, donde es primordial el conocimiento detallado de las interacciones entre todos los componentes para emplear los recursos paralelos de la forma más óptima. Con este fin, esta investigación incluye una revisión exhaustiva de las técnicas que se han aplicado satisfactoriamente para extraer información de grandes volumenes de datos en otras áreas como aprendizaje automático, minería de datos y procesado de señal. Hemos adaptado estas técnicas para mejorar el análisis de aplicaciones paralelas de gran escala, detectando automáticamente patrones repetitivos, correlaciones de datos, tendencias de rendimiento, y demás información relevante. Combinando el uso de estas técnicas, se ha conseguido disminuir el volumen de datos generado durante una ejecución, a la vez que aumentar la cantidad de información útil que se puede extraer de los datos mediante la aplicación de nuevas y más efectivas metodologías de análisis para el estudio del rendimiento de experimentos individuales o en serie
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Duong, Ngoc Son. "Instrumentation de chaussées : la route intelligente qui s’auto-détecte ?" Thesis, Ecole centrale de Nantes, 2017. http://www.theses.fr/2017ECDN0033.

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Les itinéraires routiers supportant un nombre élevé de véhicules lourds ont habituellement des structures de chaussées épaisses et peu déformables. A ce jour, l’évaluation de l’état structurel réalisée au moyen d’appareils de mesure de déflexion (déflectographe ou curviamètre) et les relevés de dégradation sont souvent insuffisants pour détecter le début d’endommagement des structures épaisses. Afin de mesurer de façon plus précise et en continue, la réponse mécanique de la chaussée, des sections autoroutières ont été instrumentées au moyen de capteurs spécifiques (jauges, sondes de température et géophones) qui constituent un moyen d’auscultation complémentaire. L’exploitation des mesures sous trafic réel génère cependant une grande quantité des données et une variabilité des mesures qui conduisent à proposer une procédure originale de tri des signaux. Le traitement des mesures des jauges permet d’analyser les variations réelles des déformations en prenant en compte les variations journalières et saisonnières des paramètres environnementaux. Une modélisation avec différentes hypothèses de comportement aux interfaces des différentes couches de la chaussée est ensuite proposée, ce qui permet d’améliorer la compréhension du comportement mécanique de la chaussée sous trafic réel. Le traitement des mesures des géophones permet de remonter à la mesure de la déflexion qui représente la capacité portante de la chaussée. L’utilisation des différents géophones permet également d’identifier les silhouettes des poids-lourds et d’estimer leur vitesse ainsi que leur position latérale. Ces travaux répondent à une demande très actuelle des gestionnaires d’ouvrages, qui souhaitent disposer d’outils pour le monitoring dans le temps de leurs infrastructures
Recently, the roads supporting a great number of heavy vehicles usually have a thick and little deformable structure. To evaluate the pavement performances, deflection measurement devices have been used. However, these measurements are not accurate and the degradation detection is not enough to detect the start of pavement damage.In order to obtain more accurate and continuous mechanical pavement measurements, highway sections were instrumented with specific sensors (temperature probes, strain gages, geophones). However, the measurements analysis under real traffic generates a great number of data and a variability of measurements. Therefore, this problem requires an original signal sorting process. The study of strain measurements allows analyzing real strain variations which take in account the daily and seasonal variations of environment parameters.Modelling calculations with different assumptions were carried out afterward in order to obtain the best prediction for the mechanical pavement behavior. The study of geophone measurements allows measuring pavement deflections which represent pavement bearing capacity. In addition, different geophones were used to characterize heavy vehicle silhouettes, vehicle speeds and their lateral positions. The thesis work meets the expected requirement of construction managers to monitor continuously their infrastructures under real traffic
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Sharif, Mohamed Abdulla Mohamed. "Application of intelligent instrumentation in process plant condition monitoring and fault diagnosis." Thesis, Cardiff University, 1999. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.340896.

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Monteiro, Antonio Miguel Vieira. "Exploring artifical on-board intelligence for space instrumentation : concepts and techniques." Thesis, University of Sussex, 1993. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.335612.

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Henry, Antoine. "Instrumentation numérique à vocation sociotechnique à GRDF : émergence d'une intelligence collective." Thesis, Aix-Marseille, 2018. http://www.theses.fr/2018AIXM0384.

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Cette recherche menée au sein de l’organisation GRDF rassemble à la fois l’instrumentation numérique à vocation sociotechnique et l’Intelligence Collective afin d’interroger la capacité de construction de l’organisation par ses membres à travers une notion présentée : l’ « eXpérience Organisation ». Ces transformations de l’entreprise répondent à des tendances dans le secteur énergétique (transition écologique) et à des attentes des salariés de l’entreprise.Après avoir présenté l’hybridité de l’organisation étudiée et son inscription dans la « Société de l’Information », l’accent est mis sur des objets scientifiques questionnés par les Sciences de l’Information et de la Communication : la connaissance, les dispositifs sociotechniques et l’Intelligence Collective. Fruits d’une observation participante, deux cas pratiques issus du terrain GRDF sont exposés et analysés tout au long de ce travail de recherche : la co-construction d’un dispositif sociotechnique (le projet Tuilage) et l’émergence d’une Intelligence Collective autour du système d’information de GRDF avec la communauté Hack@demy. Complémentaires, ces deux projets interrogent l’organisation sous le prisme info-communicationnel. Ils mettent en exergue l’évolution de l’organisation
This research conducted within the national gas distributor in France GRDF combines sociotechnical and Collective Intelligence in order to question the company’s ability to be self-constructed by its employees trought the concept of organizational experience. These corporate’s transformations respond to trends in the energy sector (ecological transition) and to the employees’ expectations. The organization tends towards a so call meta-organization.After presenting the hybridity of the studied organization, its inscription in the "Information Society", the emphasis is placed on Information and Communication Sciences’ objects: knowledge, sociotechnical devices and Collective Intelligence. Resulting of a participant observation, two cases studies from GRDF are presented and studied throughout this research: the co-construction of a sociotechnical system (project Tuilage) and the emergence of a Collective Intelligence, Hack@demy, inside the information system of the company. Complementary, these two projects use an info-communicational approach to highlight the evolution of the company
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Summers, Ronald. "A methodology for the design, implementation and evaluation of intelligent systems with an application to critical care medicine." Thesis, City University London, 1992. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.332618.

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Chitikeshi, Sanjeevi. "Intelligent instrumentation and a robust dynamic model for an ultrasonic navigation system for improved neuro-surgery /." Available to subscribers only, 2007. http://proquest.umi.com/pqdweb?did=1456292241&sid=11&Fmt=2&clientId=1509&RQT=309&VName=PQD.

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Chafei, Ayman. "L'utilisation de systèmes intelligents réseautés pour l'instrumentation des structures en génie civil." Mémoire, Université de Sherbrooke, 2009. http://savoirs.usherbrooke.ca/handle/11143/1473.

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Dans cette recherche, on a conçu et validé un nouveau noeud sans fil qui sera intégré dans un système automatique de contrôle des structures de génie civil. Le prototype est conçu à partir des dernières technologies dans le domaine des systèmes embarqués. Le prototype utilise la technologie développée pour les réseaux sans fil personnels WPAN (Wireless Personal Area Network) pour la transmission de données vers la centrale locale d'interrogation des données. Les capacités de calcul que le prototype possède nous permettent d'implémenter et d'exécuter plusieurs algorithmes de contrôle de l'état des structures. La transformée de Fourier rapide est utilisée comme algorithme illustratif dans le noeud sans fil. L'objectif de cette recherche est de mettre en place un réseau de capteurs sans fil qui supporte le calcul collaboratif en temps réel des dominées mesurées, pour l'identification des dommages potentiels dans la structure.
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Canu, Antoine. "Conversion Analogique / Numérique versatile dans un environnement avionique contraint." Thesis, Supélec, 2013. http://www.theses.fr/2013SUPL0004/document.

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Les systèmes électroniques embarqués à bord des aéronefs rassemblent des informations sur l’environnement qui les entourent au moyen de différents types de capteurs. À l’heure actuelle, l’acquisition des signaux générés par ces capteurs se fait au moyen de circuits électroniques d’interfaçage dédiés à un type de capteur en particulier, ce qui limite les possibilités d’évolution des calculateurs de bord.Nos travaux visent à remplacer ces circuits d’interfaçage par une interface dite versatile, capable de faire l’acquisition de signaux issus de différents types de capteurs. L’environnement dans lequel les systèmes avioniques sont amenés à fonctionner est particulièrement difficile, notamment par la présence de modes communs parasites importants, supérieures à plusieurs dizaines de volts. Après une exploration détaillée de cet environnement, nous proposons une architecture d’interface versatile, basée sur un ASIC mixte et un FPGA. L’ASIC est chargé du conditionnement analogique des signaux et de leur conversion dans le domaine numérique, et peut-être configuré à plusieurs niveaux (gains, offsets, impédances...). Le FPGA comprend les différents traitements numériques nécessaires à l’extraction de l’information contenue dans les signaux. Nous proposons de plus une méthode mixte permettant de corriger les imprécisions analogiques, telles que les défauts d’appairage, souvent critiques dans l’acquisition de signaux différentiels. Un circuit de test a été réalisé dans une technologie CMOS High Voltage 0.35µm afin de valider les différents principes proposés dans nos travaux
Avionic embedded systems sense their environment through the use of various sensors. Currently, the electrical signals generated by these sensors are acquired by dedicated interface circuits, which limits the functionalities that can be implemented in the computer and slows down their evolution.Our work aims at replacing these interfacing circuits by a more flexible interface, called versatile interface, which has the ability to acquire different kind of signals. Avionic embedded systems usually operate in a pretty harsh environment, in which important common mode voltages of more than thirty volts can superimpose to useful signals. After a thorough exploration of this environment and its specifities, we propose an architecture of the versatile interface, based on a mixed signal ASIC and a FPGA. The ASIC includes a programmable analog signal conditioning stage which is able to withstand the high voltages present in the harsh avionic environment. The FPGA processes the different signals and extract the useful information from them. We also propose method which allows to correct the analog imprecisions due to mismatch or temperature drifts. This method uses analog and digital processing, and allow our versatile interface to be immune to process or temperature variations. A test circuit has been realized in a high voltage 0.35µm CMOS technology, in order to validate the different principles that we propose in this work
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Roux, Julien. "Conception d'un capteur distribué pour la surveillance de l'état hydrique des sols." Thesis, Toulouse, INSA, 2017. http://www.theses.fr/2017ISAT0031/document.

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A cause du développement du smart farming, des études sont à mener sur la distribution de l’instrumentation pour mesurer l’état hydrique du sol en vue de contrôler l’irrigation. Dans le cadre du projet IRRIS, nous réalisons un capteur d’humidité du sol intelligent. Nous allons tout d’abord réaliser le corps d’épreuve de ce capteur. Nous choisissons une mesure capacitive pour obtenir un capteur réactif malgré un coût de réalisation faible. Le corps est cylindrique pour pouvoir être inséré facilement dans le sol. Les électrodes sont réalisées par dépôt électrochimique de cuivre sur ce cylindre plastique. Nous concevons ensuite l’électronique de mesure associée à ce corps. Pour cela, nous comparons deux solutions, l’une analogique et l’autre logicielle. Puis nous assemblons notre capteur suivant deux modes, le multi capteur ou le mono capteur. Nous réalisons à cette étape la création du réseau de capteurs à l’aide de communication sans fil située dans la bande ISM 868MHz et nous la caractérisons. Enfin, nous observons les résultats de trois campagnes de mesures dans des champs cultivés pour valider le fonctionnement sur différents types de sols et de cultures. Ces travaux aboutissent donc à la création d’un capteur permettant la mesure de l’humidité du sol avec un coût réduit par rapport aux capteurs industriel déjà existant. Les expérimentations sur site montrent sa facilité d’insertion ainsi que son bon fonctionnement
Owing to the development of the smart farming, some new studies need to be lead on a distributed instrumentation to measure soil moisture to control the irrigation.In the project IRRIS context, we realize a smart soil moisture sensor. First, we have to realize the sensing element of this sensor. We choose a capacitive detection to get a reactive sensor despite low cost. The body is a cylinder to be easily buried in the soil. The electrodes are made by electrochemical deposition on the plastic tube. Then, we design the measurement electronic. We compare two solutions, one with discrete components and the other software on embedded microcontroller. We submit those electronics at thermic variations to observe their comportment to create the law of compensation. Next we assemble the sensor according to two ways. The first, the multi sensor, forces the depths of sensing but reduces the costs by pooling the measurement electronic. The second, the mono sensor, frees the choice of depth but multiplies the number of sensors. We create at this step the sensor network thanks a wireless communication placed on 868MHz, an ISM band that we characterize in terms of range depending on the flow rate to optimize this communication. Finally, we observe the results of three measurement campaigns to validate the operating for different soil and cultures.This study ends in the realization of a sensor to measure soil moisture with a reduced cost relative to the industrial sensor on the market. Experiments prove its ease of use as well as its proper functioning
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Books on the topic "Intelligent Instrumentaion"

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Andreychikov, Aleksandr, and Ol'ga Andreychikova. Intelligent information systems and artificial intelligence methods. ru: INFRA-M Academic Publishing LLC., 2021. http://dx.doi.org/10.12737/1009595.

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The textbook discusses the methods of artificial intelligence and their application to solve problems from various subject areas. Methods of acquisition, representation and processing of knowledge in intelligent systems, as well as technologies for designing and implementing intelligent systems, are described. Special attention is paid to the application of intelligent systems for the selection of collective solutions, the design of complex systems( objects), the analysis and forecasting of the enterprise. Meets the requirements of the federal state educational standards of higher education of the latest generation. For students enrolled in groups of training master's degree program "Management in technical systems", "Computer and information science", "computer science", "engineering and technology land transport", "engineering and construction technology", "Photonics, instrumentation, optical and biotechnical systems and technology", "aerospace engineering", "engineering and technologies of shipbuilding and water transport", and also in the areas of "automation of technological processes and productions", "mechatronics and robotics".
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A, Evans W., Institute of Physics (Great Britain). Instrument Science and Technology Group., and Trident International Exhibitions Ltd, eds. Trends in instrumentation II: Physical measurement, intelligent instrumentation. London: IOP Pub., 1988.

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Mukhopadhyay, Subhas Chandra. Intelligent Sensing, Instrumentation and Measurements. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013.

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Mukhopadhyay, Subhas Chandra. Intelligent Sensing, Instrumentation and Measurements. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-37027-4.

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Intelligent instrumentation: Principles and applications. Boca Raton, FL: CRC Press, 2010.

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Kouteris, G. Intelligent software for semiconductor instrumentation. Manchester: UMIST, 1998.

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Barney, G. C. Intelligent instrumentation: Microprocessor applications in measurement and control. Englewood Cliffs, NJ: Prentice-Hall International, 1985.

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Intelligent instrumentation: Microprocessor applications in measurement and control. 2nd ed. New York: Prentice-Hall, 1988.

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Barney, G. C. Intelligent instrumentation: Microprocessor applications in measurement and control. 2nd ed. New York: Prentice Hall, 1988.

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Barney, George C. Intelligent instrumentation: Microprocessor applications in measurement and control. New York: Prentice Hall, 1988.

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Book chapters on the topic "Intelligent Instrumentaion"

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Weik, Martin H. "instrumentation signals intelligence." In Computer Science and Communications Dictionary, 797. Boston, MA: Springer US, 2000. http://dx.doi.org/10.1007/1-4020-0613-6_9187.

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Kanistras, Konstantinos, Kimon P. Valavanis, and Matthew J. Rutherford. "Instrumentation." In Intelligent Systems, Control and Automation: Science and Engineering, 47–56. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-67852-8_7.

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Weik, Martin H. "foreign instrumentation signals intelligence." In Computer Science and Communications Dictionary, 629. Boston, MA: Springer US, 2000. http://dx.doi.org/10.1007/1-4020-0613-6_7425.

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Carson, E. R., A. Shamsolmaali, R. Summers, M. S. Leaning, and D. G. Cramp. "Intelligent Instrumentation in Critical Care Medicine." In Advances in Biomedical Measurement, 351–58. Boston, MA: Springer US, 1988. http://dx.doi.org/10.1007/978-1-4613-1025-9_39.

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Al-Aubidy, Kasim M., and Mokhles M. Abdulghani. "Towards Intelligent Control of Electric Wheelchairs for Physically Challenged People." In Smart Sensors, Measurement and Instrumentation, 225–60. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-71221-1_11.

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Vidya, G. S., V. S. Hari, and Suryakumar Shivasagaran. "Intelligent Traffic Prediction Using LSTM Network." In Advances in Automation, Signal Processing, Instrumentation, and Control, 1661–69. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-15-8221-9_155.

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Mukhopadhyay, Subhas Chandra. "Sensors Fundamental." In Intelligent Sensing, Instrumentation and Measurements, 1–27. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-37027-4_1.

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Mukhopadhyay, Subhas Chandra. "Interfacing of Sensors and Signal Conditioning." In Intelligent Sensing, Instrumentation and Measurements, 29–53. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-37027-4_2.

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Mukhopadhyay, Subhas Chandra. "Wireless Sensors and Sensors Network." In Intelligent Sensing, Instrumentation and Measurements, 55–69. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-37027-4_3.

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Mukhopadhyay, Subhas Chandra. "Power Supplies for Sensors." In Intelligent Sensing, Instrumentation and Measurements, 71–90. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-37027-4_4.

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Conference papers on the topic "Intelligent Instrumentaion"

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Chen, Shuzhi, Meiliang Huang, Qimeng Shen, Jie Chen, Xiaoqiang Liu, Junli Wang, Weidong Wang, and Yueming Fu. "Feasibility Analysis of Intelligent Instrument Application In Nuclear Power." In 2022 29th International Conference on Nuclear Engineering. American Society of Mechanical Engineers, 2022. http://dx.doi.org/10.1115/icone29-93298.

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Abstract To achieve the in-depth combination of informatization and intelligence has become a development trend in the nuclear power industry, and the digitization/intelligence of instrumentation is a big part. Based on the technical status of nuclear power instruments and industrial integrated circuits, this paper analyzes the feasibility and suggestions of intelligent/digital instrument application for nuclear power plant by combing the environmental conditions of nuclear power, intelligence/digitization of typical meters, testing and verification etc. basic work.
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Avila Reyes, Ricardo, Miguel Machado, Mario Torre, Jitender Sharma, Gian Marcio Gey, Johnson Koa, and Thomas Edwards. "Digital Wellhead Integrated System for Production Management." In ADIPEC. SPE, 2022. http://dx.doi.org/10.2118/211158-ms.

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Abstract The oil and gas industry is lagging behind many industries in the adoption of technology and digital transformation. Our industry must transform at speed and scale to reap the available benefits of such technologies. Managing well integrity through personnel physical presence at the wellsite to take recordings increases the time to react to issues, the time to collect data, and the time to implement actions, and the high field trip rates introduce an increased risk to employees. A digital wellhead integrated system (DWIS) provides information on wellhead parameters from smart instrumentation and achieves operational intelligence via edge computing. This solution improves the response time between production data and field actions to optimize and improve operational performance following workflow parameters. DWIS provides real-time monitoring, data collection, and management of well conditions, which minimizes the effects of human interactions, while providing consistent information that can be used for future health maintenance activities thus mitigating the risk of unexpected events. Cost efficient remote monitoring and control of well activities prolongs the life of the well and promotes savings. The DWIS has been deployed and successfully tested in North America, South America, and the Middle East. A single DWIS implemented with a client resulted in production gains of 400,000 bbl./yr. and reduced 10,000 miles of driving—reducing the carbon footprint in a harsh environment. By providing human intelligence at the wellsite through edge computing and smart instrumentation, data can be generated, and actions taken to reduce expensive unplanned maintenance, offline outages, resource-intensive costs, and carbon footprint. Furthermore, this infrastructure at the wellsite enables ideas for new workflow implementation such as site monitoring via computer vision and more elaborate production and optimization workflows, creating a truly intelligent asset. DWIS maintain well integrity and provide continuous monitoring to optimize oil and gas production. This DWIS supports well integrity maintenance strategies providing real-time control and well optimization enabled by smart instrumentation, surveillance systems, and intelligent workflows powered by artificial intelligence/machine learning algorithms executed at the edge and, in some instances, at the cloud level.
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Ahmad, Adang Suwandi. "Brain inspired cognitive artificial intelligence for knowledge extraction and intelligent instrumentation system." In 2017 International Symposium on Electronics and Smart Devices (ISESD). IEEE, 2017. http://dx.doi.org/10.1109/isesd.2017.8253363.

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Magheti, Mihnea I., Patrick Walsh, and Patrick Delassus. "Intelligent instrumentation applied in environment management." In OPTO-Ireland, edited by Hugh J. Byrne, Elfed Lewis, Brian D. MacCraith, Enda McGlynn, James A. McLaughlin, Gerard D. O'Sullivan, Alan G. Ryder, and James E. Walsh. SPIE, 2005. http://dx.doi.org/10.1117/12.602071.

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Tortora, G. "Fault-tolerant control and intelligent instrumentation." In IEE Seminar Intelligent and Self-Validating Instruments (Sensors and Actuators). IEE, 2001. http://dx.doi.org/10.1049/ic:20010223.

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"Session: Virtual, intelligent and distributed instrumentation systems." In 2011 IEEE 6th International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications (IDAACS). IEEE, 2011. http://dx.doi.org/10.1109/idaacs.2011.6072724.

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Schreiner, John, Phillip Trosin, Cathy Pochel, and Dennis Koga. "DARWIN - Integrated instrumentation and intelligent database elements." In Advanced Measurement and Ground Testing Conference. Reston, Virigina: American Institute of Aeronautics and Astronautics, 1996. http://dx.doi.org/10.2514/6.1996-2251.

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Hoblos, G., H. Chafouk, and N. Langlois. "An efficient algorithm for intelligent instrumentation system." In 2004 IEEE International Symposium on Industrial Electronics. IEEE, 2004. http://dx.doi.org/10.1109/isie.2004.1571797.

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Gardner, Chris, David Johnson, and John Provine. "Networked Intelligent Instrumentation & Control for Switchboards." In 2007 IEEE Electric Ship Technologies Symposium. IEEE, 2007. http://dx.doi.org/10.1109/ests.2007.372134.

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Ganeshkumar, D., T. Manigandan, and S. Palaniswami. "Virtual Instrumentation based intelligent vibrobench for bearing testing." In Second International Conference on Industrial and Information Systems - 2007. IEEE, 2007. http://dx.doi.org/10.1109/iciinfs.2007.4579224.

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Reports on the topic "Intelligent Instrumentaion"

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Wang, Hailin, and Miriam Deutsch. Road to Intelligent Optical Devices: Instrumentation for Characterization of Optical Materials. Fort Belvoir, VA: Defense Technical Information Center, January 2004. http://dx.doi.org/10.21236/ada420586.

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Grossberg, Stephen. Instrumentation for Scientific Computing in Neural Networks, Information Science, Artificial Intelligence, and Applied Mathematics. Fort Belvoir, VA: Defense Technical Information Center, October 1987. http://dx.doi.org/10.21236/ada189981.

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Zhao, George, Grang Mei, Bulent Ayhan, Chiman Kwan, and Venu Varma. DTRS57-04-C-10053 Wave Electromagnetic Acoustic Transducer for ILI of Pipelines. Chantilly, Virginia: Pipeline Research Council International, Inc. (PRCI), March 2005. http://dx.doi.org/10.55274/r0012049.

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In this project, Intelligent Automation, Incorporated (IAI) and Oak Ridge National Lab (ORNL) propose a novel and integrated approach to inspect the mechanical dents and metal loss in pipelines. It combines the state-of-the-art SH wave Electromagnetic Acoustic Transducer (EMAT) technique, through detailed numerical modeling, data collection instrumentation, and advanced signal processing and pattern classifications, to detect and characterize mechanical defects in the underground pipeline transportation infrastructures. The technique has four components: (1) thorough guided wave modal analysis, (2) recently developed three-dimensional (3-D) Boundary Element Method (BEM) for best operational condition selection and defect feature extraction, (3) ultrasonic Shear Horizontal (SH) waves EMAT sensor design and data collection, and (4) advanced signal processing algorithm like a nonlinear split-spectrum filter, Principal Component Analysis (PCA) and Discriminant Analysis (DA) for signal-to-noise-ratio enhancement, crack signature extraction, and pattern classification. This technology not only can effectively address the problems with the existing methods, i.e., to detect the mechanical dents and metal loss in the pipelines consistently and reliably but also it is able to determine the defect shape and size to a certain extent.
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Instrumentation, Control, and Intelligent Systems. Office of Scientific and Technical Information (OSTI), September 2005. http://dx.doi.org/10.2172/911780.

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