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Добірка наукової літератури з теми "Instrumentation RQN"

Автор: Grafiati

Опубліковано: 12 жовтня 2024

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Статті в журналах з теми "Instrumentation RQN"

Shine, Philip, and Michael D. Murphy. "Over 20 Years of Machine Learning Applications on Dairy Farms: A Comprehensive Mapping Study." Sensors 22, no. 1 (December 22, 2021): 52. http://dx.doi.org/10.3390/s22010052.

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Machine learning applications are becoming more ubiquitous in dairy farming decision support applications in areas such as feeding, animal husbandry, healthcare, animal behavior, milking and resource management. Thus, the objective of this mapping study was to collate and assess studies published in journals and conference proceedings between 1999 and 2021, which applied machine learning algorithms to dairy farming-related problems to identify trends in the geographical origins of data, as well as the algorithms, features and evaluation metrics and methods used. This mapping study was carried out in line with PRISMA guidelines, with six pre-defined research questions (RQ) and a broad and unbiased search strategy that explored five databases. In total, 129 publications passed the pre-defined selection criteria, from which relevant data required to answer each RQ were extracted and analyzed. This study found that Europe (43% of studies) produced the largest number of publications (RQ1), while the largest number of articles were published in the Computers and Electronics in Agriculture journal (21%) (RQ2). The largest number of studies addressed problems related to the physiology and health of dairy cows (32%) (RQ3), while the most frequently employed feature data were derived from sensors (48%) (RQ4). The largest number of studies employed tree-based algorithms (54%) (RQ5), while RMSE (56%) (regression) and accuracy (77%) (classification) were the most frequently employed metrics used, and hold-out cross-validation (39%) was the most frequently employed evaluation method (RQ6). Since 2018, there has been more than a sevenfold increase in the number of studies that focused on the physiology and health of dairy cows, compared to almost a threefold increase in the overall number of publications, suggesting an increased focus on this subdomain. In addition, a fivefold increase in the number of publications that employed neural network algorithms was identified since 2018, in comparison to a threefold increase in the use of both tree-based algorithms and statistical regression algorithms, suggesting an increasing utilization of neural network-based algorithms.

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López, Óscar, Clara Murillo, and Alfonso González. "Systematic Literature Reviews in Kansei Engineering for Product Design—A Comparative Study from 1995 to 2020." Sensors 21, no. 19 (September 30, 2021): 6532. http://dx.doi.org/10.3390/s21196532.

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Individual products and models on the market must be specifically differentiated from the rest to meet user demand. In terms of consumer purchasing behaviour, consumers increasingly base their decisions on subjective terms or the impression that the product leaves on them, both in terms of functionality, usability, safety, and price adequacy, and regarding the emotions and feelings that it triggers in them. This demand has lead both Asia and Europe to implement new methodologies to develop new products, such as “emotional design” or Kansei engineering. This paper presents a systematic literature review (SLR) on the most relevant methodologies based on Kansei engineering and their relevant results in the specific discipline of product design, addressing these five questions: (RQ1) How many studies on KE and emotional design are there in the Scopus and Web of Science (WoS) databases from 1995 to February 2021? (RQ2) Which research topics and types of KE are addressed? (RQ3) Who is leading the research on KE and emotional design? (RQ4) What are the benefits and drawbacks of using and applying the methodology? (RQ5) What are the limitations of the current research? We analysed 87 studies focusing on the Kansei methodology used for product design and device technologies (e.g., shape design, actuators, sensors, structure) and aesthetic aspects (e.g., Kansei words selection, the quantification of measured emotions of results, and detected shortcomings), and provided the database with all the collected information. One identified and highlighted sector in the results is the electronic–technological-device sector. Results confirm that this type of methodology has a majority and direct application in these sectors, and they are widely represented in the automotive and electronics industries. Lastly, this SLR provides researchers with a guide for comparative emotional-design work, and facilitates future designers who want to implement emotional design in their work by selecting the specific type according to the results of the SLR.

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Poslad, Stefan, Tayyaba Irum, Patricia Charlton, Rafia Mumtaz, Muhammad Azam, Hassan Zaidi, Christothea Herodotou, Guangxia Yu, and Fesal Toosy. "How IoT-Driven Citizen Science Coupled with Data Satisficing Can Promote Deep Citizen Science." Sensors 22, no. 9 (April 21, 2022): 3196. http://dx.doi.org/10.3390/s22093196.

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To study and understand the importance of Internet of Things-driven citizen science (IoT-CS) combined with data satisficing, we set up and undertook a citizen science experiment for air quality (AQ) in four Pakistan cities using twenty-one volunteers. We used quantitative methods to analyse the AQ data. Three research questions (RQ) were posed as follows: Which factors affect CS IoT-CS AQ data quality (RQ1)? How can we make science more inclusive by dealing with the lack of scientists, training and high-quality equipment (RQ2)? Can a lack of calibrated data readings be overcome to yield otherwise useful results for IoT-CS AQ data analysis (RQ3)? To address RQ1, an analysis of related work revealed that multiple causal factors exist. Good practice guidelines were adopted to promote higher data quality in CS studies. Additionally, we also proposed a classification of CS instruments to help better understand the data quality challenges. To answer RQ2, user engagement workshops were undertaken as an effective method to make CS more inclusive and also to train users to operate IoT-CS AQ devices more understandably. To address RQ3, it was proposed that a more feasible objective is that citizens leverage data satisficing such that AQ measurements can detect relevant local variations. Additionally, we proposed several recommendations. Our top recommendations are that: a deep (citizen) science approach should be fostered to support a more inclusive, knowledgeable application of science en masse for the greater good; It may not be useful or feasible to cross-check measurements from cheaper versus more expensive calibrated instrument sensors in situ. Hence, data satisficing may be more feasible; additional cross-checks that go beyond checking if co-located low-cost and calibrated AQ measurements correlate under equivalent conditions should be leveraged.

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Hidayatulloh, Nurma M., and Tedjo Sukmono. "Determination of Production Instrumentation Equipment Maintenance Intervals In the Paper Industry." PROZIMA (Productivity, Optimization and Manufacturing System Engineering) 4, no. 1 (March 10, 2021): 23–31. http://dx.doi.org/10.21070/prozima.v4i1.1275.

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PT. XYZ is a manufacturing industry engaged in paper processing with afval raw materials. The problem faced is machine failure that occurs suddenly without predictability, this is because there is no scheduled maintenance (preventive main-tenance). The object of this research is focused on production instrumentation equipment. This study uses the Failure Mode and Effect Analyzer (FMEA) method to identify the causes of failure and the effects of these failures by determining the critical value of the component, namely the Risk Priority Number (RPN) which is the largest, then the Reliability Centered Maintenance (RCM) II Decision Worsheet method for determine maintenance intervals of production instrumentation equipment. Based on the results of RPN calculations in the FMEA method to determine the critical components of the Instrumentation equipment, namely the Control Valve, it can be seen that the highest total RPN value is found in three components, namely Restrictor with an RPN value of 390, Power Supply with RPN of 297, and also a Pilot Positioner. with an RPN value of 240. And with optimum maintenance intervals, among others, the Restrictor every 40 hours, the Power Supply every 41 hours, and the Pilot Positioner every 47 hours.

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Vaezi-Nejad, SM, M. Cox, and N. Cooper. "Novel instrumentation for measurement of relative intensity noise." Transactions of the Institute of Measurement and Control 34, no. 4 (April 15, 2011): 477–86. http://dx.doi.org/10.1177/0142331211399330.

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Laser diode relative intensity noise (RIN) metrology capabilities have been developed and demonstrated, providing significantly improved sensitivity and accuracy compared with existing methods. The novel use of the demonstrated reference noise source has shown significant advantages, achieving improved sensitivity, reducing measurement accuracy as low as ±1 dB and simplifying the system calibration methodology, thus improving flexibility. Laser RINs of between 10 and 14 dB below the shot RIN have been shown (typically −170 dBm/Hz), which is a direct result of the improved system sensitivity. A neodinium yag 1319-nm ring laser provided a ‘cold’ reference source, in a similar manner to that used in RF electrical metrology. Application of the ‘flat’ low noise optical RF noise source from 10 MHz to 20 GHz has been demonstrated for the first time in optical RF metrology, providing a calculable reference traceable via the incident optical power received. Because of the simplistic nature of this approach, system calibration can be performed for each RIN measurement that is carried out, reducing measurement uncertainty associated with RF mismatch, system linearity and loss. High specification components have been assessed individually and in the combined system indicating an overall system noise figure of 2–3 dB over the 10 MHz to 20 GHz frequency range (−171 to −172 dBm), some 4–5 dB better than previously reported.

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S, Raehan Adillah, Jufrizel Jufrizel, Putut Son Maria, and Hilman Zarory. "Analisa Keandalan Instrumentasi Boiler Feed Pump Menggunakan Metode Failure Mode and Effect Analysis (FMEA) di PT.PLN Nusantara Power UP Tenayan." JURNAL Al-AZHAR INDONESIA SERI SAINS DAN TEKNOLOGI 9, no. 3 (September 20, 2024): 276. http://dx.doi.org/10.36722/sst.v9i3.2882.

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PT. PLN Nusantara Power UP Tenayan is a company operating in the power generation sector and focuses on operating PLTUs Tenayan, Indonesia. One part of the machine that influences the operation of the generator is the boiler feed pump. Lack of optimal boiler feed pump instrumentation often results in failure in operating activities. This research uses the Failure Mode and Effect Analysis (FMEA) method with the research objective of finding out the causes of failures that occur, identifying the type of failure, and determining the RPN value and the impact that occurs. The analysis results, it shows that the Boiler Feed Pump instrumentation components still meet operating standards because the Risk Priority Number (RPN) value is below 200, even though the Speed Sensor has a fairly high RPN value but is still in the reliable category, the result of identifying the type of failure that occurs is that the indicator reading is not actual, the component is not functioning, the highest RPN value for the Boiler Feed Pump component is the Speed Sensor component with an RPN value of 160 and the lowest RPN value is for the pressure indicator component with an RPN value of 30. The most important recommended action for the Speed Sensor component is to carry out maintenance for 1 month very.Keywords – Boiler Feed Pump, FMEA, Keandalan, Pembangkit, RPN.

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Andriyan, Septa, Jufrizel Jufrizel, Aulia Ulah, and Ahmad Faizal. "Analisa Keandalan Instrumentasi Pada Lime Kiln Unit Menggunakan Metode Reliability Centered Maintenance (RCM) di PT. Indah Kiat Pulp and Paper Perawang." JURNAL Al-AZHAR INDONESIA SERI SAINS DAN TEKNOLOGI 9, no. 2 (May 31, 2024): 205. http://dx.doi.org/10.36722/sst.v9i2.2785.

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PT. Indah Kiat Pulp and Paper Perawang is a company that prioritizes paper production. There is a crucial unit known as the lime kiln within the company. Issues occurring within this unit often disrupt the overall production process. Therefore, conducting reliability analysis on the instrumentation of this unit is highly important. This research utilizes the Reliability Centered Maintenance (RCM) method. The objective of this study is to determine which devices within the lime kiln are most vulnerable to problems by calculating the Risk Priority Number (RPN) for each component, evaluating the reliability level of these devices, and providing optimal maintenance schedule recommendations. The research findings indicate the sequence of RPN values for lime kiln instrumentation from highest to lowest as follows: temperature sensor 336, on-off valve 288, flow transmitter 252, control valve 245, proximity sensor 240, pressure gauge 216, sensor indication of motorized damper 210. Furthermore, the reliability values of each instrumentation did not meet the threshold set by the Indonesian Industry Standard (SII), which is 0.7. Therefore, it can be concluded that maintenance action is required for these instrumentation devices. Maintenance schedule recommendations for temperature sensor are 252 days, on-off valve 294 days, flow transmitter 293 days, control valve 251 days, proximity sensor 293 days, pressure gauge 352 days, and sensor indication of motorized damper 353 days.Keywords – Keandalan, Instrumentasi, Maintenance, Lime kiln, RCM.

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Torres Cedillo, Sergio G., and Philip Bonello. "Empirical identification of the inverse model of a squeeze-film damper bearing using neural networks and its application to a nonlinear inverse problem." Journal of Vibration and Control 24, no. 2 (April 7, 2016): 357–78. http://dx.doi.org/10.1177/1077546316640985.

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The identification of nonlinear squeeze-film damper (SFD) bearings, typically used in aero-engines, has so far focused on their forward model (i.e. displacement input/force output). The contributions of this paper are the non-parametric identification of the inverse model of the SFD bearing (force input/displacement output) from empirical data, and its application to a nonlinear inverse rotor-bearing problem. This work is motivated by the need for a reliable substitute for internal instrumentation, to enable the identification of rotor unbalance using vibration data from externally mounted sensors, in applications where the rotor is inaccessible under operating conditions and there is no adequate linear connection between rotor and casing. The identification of the inverse model is fundamentally different from that of the forward model due to the need to account for system memory. A suitably trained Recurrent Neural network (RNN) is shown to be capable of identifying the inverse model of an actual SFD through two validation studies. In the first study, the RNN model satisfactorily predicted the SFD journal’s displacement time histories for given periodic time histories of the Cartesian SFD forces, although it could not predict the user-applied static offset in the SFD since it was not trained to do so. This was no limitation for the second study where, for both centred and non-centred SFD conditions, the RNN proved to be a reliable substitute for actual instrumentation as part of the inverse problem solution process for identifying the amplitudes and phases of the external excitation forces on a simple test rig.

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K.H.K. Prasad, B.T. Krishna. "RNN Based Deep Learning Approach for ECG Beat Classification." Tuijin Jishu/Journal of Propulsion Technology 44, no. 5 (November 29, 2023): 200–210. http://dx.doi.org/10.52783/tjjpt.v44.i5.2451.

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The electrical patterns of the heart, captured through an electrocardiogram (ECG/EKG), serve as a diagnostic tool to identify potential issues such as heart attacks, irregular heart rhythms, heart failure, and arrhythmia, which manifests as irregularities in the heartbeat's rhythm. Deep Learning (DL) architectures have been successfully employed for arrhythmia detection and classification and offered superior performance to traditional shallow Machine Learning (ML) approaches. This paper introduces a novel approach utilizing deep learning techniques, specifically a Bidirectional Gated Recurrent Unit (Bi-GRU) model a variant of RNN, to classify ECG arrhythmia beats into distinct categories. The Bi-GRU model is employed in this work due to its capability to capture temporal dependencies in ECG signals, enabling a nuanced understanding of beat sequences for precise classification. Leveraging the MIT-BIH arrhythmia database, a comprehensive dataset containing annotated ECG signals, this study explores the efficacy of deep learning in accurately categorizing beats in to five super classes as per the standard of Association for the Advancement of Medical Instrumentation (AAMI). Evaluation metrics encompassing accuracy (Acc), specificity (Spe), sensitivity (Sen), positive predictive value (Ppv), and F1-score are utilized to assess the model performance in distinguishing between diverse arrhythmia classes.

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Zaluzec, Nestor J. "Innovative Instrumentation for Analysis of Nanoparticles: The π Steradian Detector". Microscopy Today 17, № 4 (26 червня 2009): 56–59. http://dx.doi.org/10.1017/s1551929509000224.

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The analysis was finally completed, the data graphed, and I had to admit to myself, it was looking like an auspicious moment. Only a few weeks earlier, Charlie Lyman and I had been discussing a project that I had been working on for some time, one in which I was admittedly being deliberately vague concerning the details. However, I had promised to keep him updated when it succeeded. Given the date (April 1st) and the data in hand, I couldn't resist sharing with him (and a few colleagues) the first results from that experiment—and my thinly veiled attempt at a quasi-April Fools Day joke. After we exchanged a number of emails that day, Charlie concluded his last message with the line that many of us have heard from both him and Ron Anderson: “A little more text and you can have an article in the July issue of MT.” Have I gotten you curious? Well then read on!

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Більше джерел

Дисертації з теми "Instrumentation RQN"

Kachkachi, Noreddine. "Spectromètre RQN à base d’un SoC-FPGA : Conception numérique, vérification fonctionnelle et validation expérimentale." Electronic Thesis or Diss., Université de Lorraine, 2024. http://www.theses.fr/2024LORR0053.

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La Résonance quadrupolaire Nucléaire (RQN) est une technique de spectroscopie radio fréquence très utile pour l'identification non invasive et l'analyse de produits chimiques. Cependant cette technique souffre de plusieurs problèmes, notamment de la faible sensibilité et pose beaucoup de défis quand à la conception de l'instrumentation RQN. Afin de relever ces défis techniques et d'améliorer davantage les performances, nous proposons de développer ici, une nouvelle approche qui consiste en la numérisation et l'optimisation de l'architecture électronique en vue d'améliorer la sensibilité. Ainsi, j'ai réalisé dans le cadre de cette thèse, la conception, la vérification fonctionnelle ainsi que la validation expérimentale d'un spectromètre RQN à base d'un SoC-FPGA où l'essentiel de la fonctionnalité matérielle et logicielle est intégré sur une seule puce. Les modules que j'ai conçus et intégrés sur le SoC-FPGA sont: un générateur d'impulsions haute résolution, un module d'acquisition entièrement numérique avec un traitement de signal temps réel et FID stocké sur mémoire externe DDR, un module d'émission numérique entièrement contrôlé et un module de débogage. En plus de la partie logique programmable, j'ai développé et intégré sur le processeur embarqué du SoC-FPGA deux applications Linux pour piloter le spectromètre. La conception de cette architecture, numérique et optimisée, a permis ainsi de se doter d'un nouveau spectromètre de performances et de fonctionnalités remarquables par rapport à l'état de l'art et par rapport aux spectromètres portables commerciaux. La miniaturisation et la numérisation ont permis aussi de réaliser la compacité du système et ainsi d'ouvrir la porte à de nouvelles applications industrielles. En plus, la réalisation de cette nouvelle architecture à base de SoC-FPGA, a apporté une amélioration de la sensibilité grâce à une meilleure immunité aux bruits et à une chaîne d'acquisition entièrement numérique avec un traitement de signal performant. Le spectromètre réalisé a été testé avec succès sur plusieurs échantillons de référence ainsi que sur des échantillons à applications pharmaceutiques tels que le paracétamol et le nitroprussiate de sodium
Nuclear Quadrupolar Resonance (NQR) is a radio frequency spectroscopy technique that is very useful for non-invasive identification and analysis of chemical products. However, it suffers from low sensitivity which makes its instrumentation very challenging. In order to tackle these challenges and enhance the performances, especially sensitivity,we present in this thesis a solution which consists in a SoC-FPGA based compact spectrometer, where all the major digital hardware and software modules are integrated on a single System On Chip, including : a high pulse width resolution pulse programmer, a fully controllable transmitter, an acquisition module with real time digital signal processing, and storage of the acquired signal in an external memory, and a hardware debugger, in addition to embedded Linux applications that drive the spectrometer functionalities. This digital integration and miniaturisation brought noticeable performances of the spectrometers' overall functionality, especially in terms of sensitivity and portability. The designed spectrometer was successfully tested on several representative samples

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Skolnik, Derek. "Building instrumentation." Diss., Restricted to subscribing institutions, 2008. http://proquest.umi.com/pqdweb?did=1790313721&sid=1&Fmt=2&clientId=1564&RQT=309&VName=PQD.

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KASSAB, GHAZI. "Etude des milieux poreux par rmn : instrumentation specifique et etude des temps de relaxation." Paris 6, 1992. http://www.theses.fr/1992PA066524.

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Le travail decrit dans cette these avait pour objectif d'adapter l'appareil d'irm 0,1 t de l'institut d'electronique fondamentale (ief) a l'etude des milieux poreux, puis de deduire les methodes d'imagerie possibles pour ces materiaux. Les bases physiques de l'irm et la structure de l'appareil d'imagerie de l'ief sont rappelees dans le premier chapitre. Dans le second chapitre, nous decrivons la conception et la realisation d'un systeme radio-frequence (rf) specifique a l'etude des milieux poreux. Nous montrons que ce systeme rf permet d'ameliorer l'efficacite de l'antenne rmn et l'homogeneite du champ rf pendant l'emission. Pendant la reception, en utilisant la technique de surcouplage inductif, on a pu elargir la bande passante du systeme de reception, sans degradation notable du rapport signal-sur-bruit, d'un facteur 11 par rapport a la methode d'adaptation a 50. Le troisieme chapitre comporte deux parties: dans la premiere partie nous presentons une etude detaillee des temps de relaxation dans les milieux poreux, en fonction du champ b#0, et du parametre t#c#p caracteristique de la sequence cpmg. Cette etude nous permet de distinguer trois regimes de relaxation transversale en fonction de la taille des pores. Nous montrons qu'une methode d'imagerie differente est appropriee a chaque regime. La deuxieme partie de ce chapitre est consacree a l'etude des temps de relaxation en fonction de la mouillabilite des echantillons. Nous montrons a l'aide de cette etude qu'il est possible d'obtenir une cartographie de mouillabilite par rmn

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Halidi, El Mohamed. "Études RMN et IRM en champ proche : développements et applications." Thesis, Montpellier 2, 2013. http://www.theses.fr/2013MON20261/document.

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Le principe de la RMN repose sur la détection de l'aimantation provenant de spin des noyaux atomiques tels que 13C, 31P et 1H. L'échantillon est placé dans un champ magnétique statique, qui polarise l'ensemble des spins. Ces derniers sont ensuite excités par les impulsions radiofréquences (environ un mètre de longueur d'onde), qui font basculer l'aimantation de ces spins dans le plan transversal. Lorsque l'aimantation retourne à sa position d'équilibre, il génère un champ électromagnétique qui est classiquement détecté par une antenne réceptrice (bobine avec un circuit d'accord/d'adaptation) à couplage inductif. Dans ce travail, nous proposons l'utilisation d'une sonde de taille micrométrique placée au voisinage de l'objet d'intérêt, à une distance bien plus courte que la longueur d'onde du signal de RMN rayonné. Notre microsonde présente des caractéristiques innovantes (i) un couplage capacitif (composante du champ électrique), (ii) une dimension réduite pour un positionnement précis, qui assure la détection du signal de RMN de l'échantillon et (iii) une détection à large bande, ce qui permet de l'utiliser pour détecter différents noyaux sans être accordée à la fréquence de Larmor. Pour vous présenter cette nouvelle alternative, les outils nécessaires à la compréhension de ce travail, en l'occurrence le principe de la RMN et de l'IRM et une introduction de la théorie du champ proche électrique sont donnés. Nous avons fait aussi un état de l'art des méthodes et techniques existant pour mesurer le signal RMN afin de recenser les avantages qu'un tel système (méthode : couplage capacitif et dispositif : microsonde de champ proche) peut apporter à la technique RMN. Ensuite, nous avons caractérisé notre microsonde pour améliorer sa détection hyper localisée, nous avons démontré que le signal RMN récupéré par notre antenne peut être décrit par l'expression du champ proche électrique :E(x, z) = A(Kz ) exp(i(z/L)) exp(−x/L) + Terme Propagatif. Enfin, nous avons appliqué notre système à des études RMN comme la spectroscopie, la relaxométrie ou encore de l'imagerie RMN. Nous avons aussi énoncé certains projets potentiels à la continuité de ce travail
The principle of NMR is based on the detection of the magnetization originating from the spin of atomic nuclei such as 13C, 31P and 1H. The sample is placed in a static magnetic field, which polarizes the ensemble of spins and it is excited by radiofrequency pulses (wavelength about one meter), that tilt the axis of the magnetization. When the magnetization returns to equilibrium, it generates an electromagnetic field which is classically detected by a receiving antenna (coil with atuning/matching circuit) in inductive coupling.In this work, we propose the use of a micrometer-sized probe positioned in the vicinity of the object of interest, at a distance well shorter than the wavelength of the radiated NMR signal.Our microprobe presents innovative characteristics (i) a capacitive coupling (electric field component), (ii) reduced dimensions for an accurate positioning, which ensure the detection of NMR signal from the sample and (iii) it has a broadband, which allows use to detect any nuclei without being tuned to the Larmor frequency.To introduce you this new alternative, the tools necessary to the understanding of this work, in this case the principle of NMR/MRI and an introduction of the theory of the electric near field are given initially.We made also a state of the art of existing methods and techniques for measuring the NMR signal to identify the benefits that such a system (method : capacitive coupling and device : microprobe near field) can bring to the NMR technique.Then, we have characterized our microprobe to enhance its localized detection due to its small size (127 μm in diameter and 2mm in length). In this stage of characterization, we demonstrated that the NMR signal recovered by our antenna can be described by the electric near field expression :E(x, z) = A(Kz ) exp(i(z/L)) exp(−x/L) +Propagative TermFinally, we applied our system to make NMR studies such as spectroscopy, the relaxometry and NMR Imaging. We have outlined some potential projects to the continuity of this work

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Pagnano, Marco Aurelio de Oliveira. "Automação de um espectrômetro por ressonância magnética nuclear pulsada." Universidade de São Paulo, 1993. http://www.teses.usp.br/teses/disponiveis/54/54132/tde-19082014-101639/.

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Анотація:

Este trabalho consistiu na automação do espectrômetro de Ressonância Magnética Nuclear Pulsada existente no laboratório dos professores José Pedro Donoso e Claudio José Magon. Foram efetuados circuitos adicionais e melhorias no equipamento que eles possuíam, à nível de hardware e software. Foram construídas e programadas interfaces paralelas que ligam o microcomputador a um gerador de pulsos, fabricado pela Tecmag Inc., e a um digitalizador rápido (10 ns) Nicolet 430. O programador de pulsos pode acionar independentemente 75 linhas durante o intervalo de tempo subdividido em 2048 eventos, também independente. O software desenvolvido permite a programação de todas as linhas e eventos de forma eficiente e prática. Foi todo escrito em linguagem C, é modular, portátil, e permite a geração de seqüências de pulsos sofisticadas e também o controle da aquisição e transferência de dados
This work describes the Project developped to automatize the pulsed nuclear magnetic resonance spectrometer housed in the laboratory of the professors José Pedro Donoso e Cláudio José Magon. To satisfy our needs we have improved their old equipment, at the level of hardware and software. Were built and programmed the parallel interface between the microcomputer and a pulse programmer made by Tecmag Inc. and with a fast digitizer (10 ns) Nicolet 430. The pulse programmer can control 75 independent output channels during 2048 time intervals. The software we developped allow us to control the whole pulse sequence on a very efficient and practical way. It was written in C-language, and provides the timing signals necessary to generate sofisticated pulse seqüencies, the data acquisition and data transfer to the host computer

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Bolat, Murat. "Instrumentation tool for context-aware optimization." Access to citation, abstract and download form provided by ProQuest Information and Learning Company; downloadable PDF file, 64 p, 2009. http://proquest.umi.com/pqdweb?did=1885467641&sid=5&Fmt=2&clientId=8331&RQT=309&VName=PQD.

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Kienlin, Markus von. "Instrumentation et méthodologie en spectroscopie RMN in vivo suppression de l'eau, édition de spectre et localisation spatiale /." Grenoble 2 : ANRT, 1988. http://catalogue.bnf.fr/ark:/12148/cb37619193v.

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Kienlin, Markus von. "Instrumentation et méthodologie en spectroscopie RMN du proton in vivo : suppression de l'eau, édition de spectre, localisation spatiale." Grenoble INPG, 1988. http://www.theses.fr/1988INPG0071.

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Karakaya, Yeliz. "Instrumentation for microscale measurement and characterization of bio-fibers." Access to citation, abstract and download form provided by ProQuest Information and Learning Company; downloadable PDF file 2.65 Mb., 112 p, 2006. http://proquest.umi.com/pqdlink?did=1037889801&Fmt=7&clientId=8331&RQT=309&VName=PQD.

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Laurent, Guillaume. "Increasing solid-state NMR sensitivity : instrumentation, fast acquisitions and signal processing." Electronic Thesis or Diss., Sorbonne université, 2020. http://www.theses.fr/2020SORUS183.

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La Résonance Magnétique Nucléaire (RMN) en phase solide souffre d’une faible sensibilité, malgré les récentes améliorations. Les approches instrumentales, d’acquisition rapide et de traitement du signal ont été examinées afin de remédier à ce défaut le plus efficacement possible. Premièrement, les microbobines (bobine en rotation à l’angle magique, MACS) ont été placées dans un rotor et couplées inductivement à la bobine de la sonde standard. Un gain en temps de ~ 5 a été obtenu sur des microquantités avec une masse m ~ 100-200 µg. Deuxièmement, le temps d’acquisition a été diminué grâce aux échos Carr-Purcell-Meiboom-Gill (CPMG) pour l’acquisition directe. Nous avons produit un programme Python pour traiter les données soit en utilisant les méthodes standard de peigne ou de superposition, soit avec une méthode de débruitage. Un gain en temps de ~ 3-100 a été possible. Troisièmement, l’échantillonnage non-uniforme (NUS) a été choisi comme un moyen de diminuer le temps d’acquisition des expériences multi-dimensionnelles. L’échantillonnage Poisson s’est avéré le meilleur choix pour limiter les artefacts, tandis que l’échantillonnage hybride s’est révélé efficace sur les spectres présentant à la fois des pics larges et fins. Un gain en temps de ~ 4 a été obtenu. Quatrièmement, les spectres ont été traités avec le débruitage par décomposition en valeurs singulières (SVD). Nous avons mis en avant une surestimation des pics gaussiens de ~ 20 %. Le seuillage automatique a été mis en place, donnant un gain en temps de ~ 2,3. Enfin, le temps de calcul a été étudié et diminué par ~ 100. Une comparaison entre les unités centrales (CPU) et les cartes graphiques (GPU) a été fournie
Solid-state Nuclear Magnetic Resonance (NMR) is suffering from an intrinsic low sensitivity, despite recent improvements. Instrumentation, fast acquisition and signal processing approaches were investigated to circumvent this drawback as far as possible. Firstly, microcoils (Magic Angle Coil Spinning, MACS) were placed into rotors and inductively coupled to the standard probe coil. A time gain of ~ 5 was obtained for microquantities with a mass m ~ 100-200 µg. Secondly, acquisition time was decreased by mean of Carr-Purcell-Meiboom-Gill (CPMG) echoes for direct acquisition. Adequate processing is required to get the best enhancement from this technique. We provided a Python software to process data either using standard spikelets or superposition methods, or with a denoising method. A time gain of ~ 3-100 was possible. Thirdly, Non-Uniform Sampling (NUS) was chosen as a way to decrease acquisition time of indirect dimensions of multi-dimensional experiments. Poisson sampling revealed to be the best choice to limit artefacts, whereas hybrid sampling proved to be efficient on spectra with both broad and narrow peaks. A time gain of ~ 4 was achieved. Fourthly, spectra were processed with Singular Value Decomposition (SVD) denoising. We highlighted an overestimation of Gaussian peaks by ~ 20 %. Automatic thresholding was implemented, giving a time gain of ~ 2.3. Finally, computation time was decreased by ~ 100 by combining ‘divide and conquer’ algorithm, optimised libraries, hardware instruction calls and single precision. A comparison between Central Processing Units (CPU) and Graphical Processing Units (GPU) was provided

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Частини книг з теми "Instrumentation RQN"

Nesheiwat, Jeffrey, and Boleslaw K. Szymanski. "Instrumentation Database for Performance Analysis of Parallel Scientific Applications." In Languages, Compilers, and Run-Time Systems for Scalable Computers, 229–42. Berlin, Heidelberg: Springer Berlin Heidelberg, 1998. http://dx.doi.org/10.1007/3-540-49530-4_17.

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Natvig, Thorvald, and Anne C. Elster. "Run-Time Analysis and Instrumentation for Communication Overlap Potential." In Recent Advances in the Message Passing Interface, 42–49. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-15646-5_5.

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Jayashree, D., O. Pandithurai, S. Shreevathsav, and P. Shyamala. "Generation of Handwriting Applying RNN with Mixture Density Network." In Advances in Automation, Signal Processing, Instrumentation, and Control, 2593–601. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-15-8221-9_241.

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Robert, Thomas. "Do You Know What It Costs to Run Your Atomic Spectroscopy Instrumentation?" In Measuring Elemental Impurities in Pharmaceuticals, 335–41. Boca Raton : Taylor & Francis, 2018. | Series: Practical spectroscopy ; [v. 40]: CRC Press, 2018. http://dx.doi.org/10.1201/b21952-24.

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Aljaafari, Fatimah, Fedor Shmarov, Edoardo Manino, Rafael Menezes, and Lucas C. Cordeiro. "EBF 4.2: Black-Box Cooperative Verification for Concurrent Programs." In Tools and Algorithms for the Construction and Analysis of Systems, 541–46. Cham: Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-30820-8_33.

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AbstractCombining different verification and testing techniques together could, at least in theory, achieve better results than each individual one on its own. The challenge in doing so is how to take advantage of the strengths of each technique while compensating for their weaknesses. EBF 4.2 addresses this challenge for concurrency vulnerabilities by creating Ensembles of Bounded model checkers and gray-box Fuzzers. In contrast with portfolios, which simply run all possible techniques in parallel, EBF strives to obtain closer cooperation between them. This goal is achieved in a black-box fashion. On the one hand, the model checkers are forced to provide seeds to the fuzzers by injecting additional vulnerabilities in the program under test. On the other hand, off-the-shelf fuzzers are forced to explore different interleavings by adding lightweight instrumentation and systematically re-seeding them.

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Chalupa, Marek, Fabian Muehlboeck, Stefanie Muroya Lei, and Thomas A. Henzinger. "Vamos: Middleware for Best-Effort Third-Party Monitoring." In Fundamental Approaches to Software Engineering, 260–81. Cham: Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-30826-0_15.

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AbstractAs the complexity and criticality of software increase every year, so does the importance of run-time monitoring. Third-party monitoring, with limited knowledge of the monitored software, and best-effort monitoring, which keeps pace with the monitored software, are especially valuable, yet underexplored areas of run-time monitoring. Most existing monitoring frameworks do not support their combination because they either require access to the monitored code for instrumentation purposes or the processing of all observed events, or both.We present a middleware framework, Vamos, for the run-time monitoring of software which is explicitly designed to support third-party and best-effort scenarios. The design goals of Vamos are (i) efficiency (keeping pace at low overhead), (ii) flexibility (the ability to monitor black-box code through a variety of different event channels, and the connectability to monitors written in different specification languages), and (iii) ease-of-use. To achieve its goals, Vamos combines aspects of event broker and event recognition systems with aspects of stream processing systems.We implemented a prototype toolchain for Vamos and conducted experiments including a case study of monitoring for data races. The results indicate that Vamos enables writing useful yet efficient monitors, is compatible with a variety of event sources and monitor specifications, and simplifies key aspects of setting up a monitoring system from scratch.

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Steinberg, Michael. "Berg." In The Concerto, 92–105. Oxford University PressNew York, NY, 1998. http://dx.doi.org/10.1093/oso/9780195103304.003.0006.

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Abstract Berg began work on his Violin Concerto at the end of April 1935; he had it ready in short score by mid-July (that is, with the instrumentation indicated but not fully written out) and in full score on 11 August. After private run-throughs with the pianist Rita Kurzmann in New York (for an audience that included Mischa Elman and Leopold Godowsky) and in Vienna, Louis Krasner, who had commissioned the work, gave the first performance on 19 April 1936 in Barcelona at the opening concert of that year’s International Society for Contemporary Music Festival.

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Gazzano, Julio Daniel Dondo, Fernando Rincon Calle, Julian Caba, David de la Fuente, and Jesus Barba Romero. "Dynamic Reconfiguration for Internal Monitoring Services." In Field-Programmable Gate Array (FPGA) Technologies for High Performance Instrumentation, 124–36. IGI Global, 2016. http://dx.doi.org/10.4018/978-1-5225-0299-9.ch006.

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In hardware design flow, testing is the most important step to hardware quality assurance before a hardware component is released. However simulation and verification during design steps are not enough to guarantee a system without failures. In many cases the system fails after have been deployed. Dynamically reconfigurable FPGAs have the ability to reconfigure part of its architecture during run time without stopping the whole system. This feature is an added value that can be exploited for internal system monitoring and verification. Using partial reconfiguration, an Internal Monitoring System can be implemented in reconfigurable areas for monitoring different conditions and signals in the circuit, after implementation. This allows detecting and identifying those failures that were not possible to detect during simulation process.

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Pal, Moumita, Partha Sarkar, Biswarup Neogi, and Gopinath Palai. "AN ADVANCED AI & ML BASED NEUROCOMPUTATIONAL APPROACH FOR SMART CITIES UTILIZING STATISTICAL ANALYSIS." In Futuristic Trends in Electronics & Instrumentation Engineering Volume 3 Book 2, 114–30. Iterative International Publishers, Selfypage Developers Pvt Ltd, 2024. http://dx.doi.org/10.58532/v3biei3p5ch3.

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The ability of smart outcomes and digital extraordinary platforms to turn metropolises into more inhabited units in the middle of perpetual civic flux has been stifled by urbanisation, failing to provide megacities' inhabitants with a livable standard of living. Approximately 5 billion people (68%) will live in cities by the year 2050. Cities need to be wise and intelligent in order to improve the comfort and economy of city living. It is mostly achieved by employing computational intelligence-based technologies in an intelligent decision-making process. This chapter examined the application of artificial intelligence (AI) to the idea of the smart city. The goal is to transform smart cities into smart communities that can improve the quality of life for individuals by providing long-term opportunities for social, economic, and creative processes in a safe, stimulating, and healthy setting. In order to minimise reliance on natural resources through a long-term investment process, there are also civic and indigenous project and planning strategies that make use of technology to optimise civil society transportation, building, and the evolution of civic dynamism, water, and carrying dynamism from civic waste procedures in such a motorway. Furthermore, we found that the adoption of AI in smart cities is more significantly influenced by the healthcare (27% impact), mobility (14% impact), privacy and security (14% impact), and energy (13% impact) sectors. AI-based advancements in the healthcare sector have increased by 60% since the epidemic struck cities in 2019. Based on the analysis, artificial intelligence algorithms like ANN, RNN/LSTM, CNN/R-CNN, DNN, and SVM/LS-SVM have greater influence on different domains of smart cities. It is well known that sophisticated machine learning and artificial learning can manage massive amounts of unstructured, erroneous data. In smart cities, they leverage algorithms that take advantage of the availability of both labelled and unlabeled data to offer individualised services and effective resource management. It can be instantly applied to numerous significant daily applications, including healthcare, preventing pollution, improving energy management, efficient transportation, and security measures. This chapter also presents the ideas and evaluations of several machine learning algorithms for their corresponding applications. All things considered, applying machine learning to IoT-based methods has only shown to be more precise, perceptive, economical, and time-efficient.

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Sizova, Nina Alekseevna, Nikita Aleksandrovich Osmakov, and Sergei Anatolevich Elkov. "Programma-trenazher protsessa kataliticheskogo krekinga." In Topical issues of pedagogy and psychology, 82–94. Publishing house Sreda, 2023. http://dx.doi.org/10.31483/r-105035.

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Currently, computer tools for conducting training courses are being actively developed. Practically in all areas of academic disciplines, simulator programs for real technological processes are being created. However, the creation and organization of training courses using e-learning tools, especially based on Internet technologies, is a difficult technological and methodological task. The industry of computer educational materials is expanding due to their demand and social significance. In this regard, it is relevant to develop the concept of building and using computer teaching aids, in particular training simulators, adequate to modern ideas of the development of education. This chapter discusses the developed simulator program for an automated control system for the catalytic cracking process, written in the C# programming language, presents its capabilities and a description of how to work with it. This simulator allows students to independently learn how to arrange sensors and draw up a specification for instrumentation and control equipment, using the built-in tools for checking the correct placement of sensors. To run the program, you need a computer with Windows 7 or later, NET.Framework version 4.5 or later, optionally MS Word. The program is portable, does not require installation, which allows it to be easily scaled to an audience with several computers, it is also worth noting that the program is small, for the time being, the size of the program is less than 10 MB, which allows it to be sent to students who are unable to attend classes via the Enternet network. The results of the execution can be printed on any computer under the operating system Windows 7 and newer in PDF format, with MS Word installed – in Doc format.

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Тези доповідей конференцій з теми "Instrumentation RQN"

Zoni, Davide, Luca Cremona, and William Fornaciari. "PowerProbe: Run-time power modeling through automatic RTL instrumentation." In 2018 Design, Automation & Test in Europe Conference & Exhibition (DATE). IEEE, 2018. http://dx.doi.org/10.23919/date.2018.8342106.

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Cameron, P., A. DellaPenna, L. Hoff, M. Gasior, R. Jones, Y. Luo, A. Marusic, et al. "Simultaneous Tune and Coupling Feedback during RHIC Run 6." In BEAM INSTRUMENTATION WORKSHOP 2006: Twelfth Beam Instrumentation Workshop. AIP, 2006. http://dx.doi.org/10.1063/1.2401402.

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Ennico, Kimberly A., Ian R. Parry, Matthew A. Kenworthy, Richard S. Ellis, Craig D. Mackay, Martin G. Beckett, Alfonso Aragon-Salamanca, et al. "Cambridge OH suppression instrument (COHSI): status after first commissioning run." In Astronomical Telescopes & Instrumentation, edited by Albert M. Fowler. SPIE, 1998. http://dx.doi.org/10.1117/12.317329.

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Mercelis, Peter, Nele Vanmarcke, George Smith, Guido Dumon, Alessandro Toffoli, and Jaak Monbaliu. "Influence of Location and Instrumentation on Wave Group Characteristics." In ASME 2008 27th International Conference on Offshore Mechanics and Arctic Engineering. ASMEDC, 2008. http://dx.doi.org/10.1115/omae2008-57683.

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Wave group characteristics from water of intermediate depths ranging from relatively deep to relatively shallow are discussed. The analysis is based on measurements of the surface elevation, which were collected with both floating and fixed sensors. Results indicate that, for similar spectral conditions, the general distributions of the run lengths are remarkably similar for the waves in the relatively deep and relatively shallow water depths. However, for less steep sea states, it has been observed that the group tendency is more pronounced for the deeper water location due to more relevant swell activities. The analysis of the fixed sensor data gives measured run lengths that are shorter than the ones obtained from wave buoys. For both locations, the empirical findings agree relatively well with probabilistic predictions using the approach given in [1] where a correlation parameter κ is estimated using spectral shape parameters.

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Thompson, P. "RHIC Beam Loss Monitor System commissioning in RHIC Year 0 Run." In The ninth beam instrumentation workshop. AIP, 2000. http://dx.doi.org/10.1063/1.1342600.

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Kimura, Masahiko, Toshinori Maihara, Fumihide Iwamuro, Shigeru Eto, Masayuki Akiyama, Kouji Ohta, Michinari Sakai, Naoyuki Tamura, and Daisaku Mochida. "FMOS: The fiber multi-object spectrograph V results of early PIR engineering run." In SPIE Astronomical Telescopes + Instrumentation, edited by Ian S. McLean and Masanori Iye. SPIE, 2006. http://dx.doi.org/10.1117/12.670705.

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Kimura, Masahiko, Toshinori Maihara, Fumihide Iwamuro, Masayuki Akiyama, Naoyuki Tamura, Naruhisa Takato, Kouji Ohta, and Shigeru Eto. "FMOS: the Fibre Multi-Object Spectrograph: Part VII. Results of PIR engineering run." In SPIE Astronomical Telescopes + Instrumentation, edited by Ian S. McLean and Mark M. Casali. SPIE, 2008. http://dx.doi.org/10.1117/12.790252.

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Huang, Jun, Xiandeng Pei, Changsheng Xie, and Benxi Liu. "Novel method for disk run-out testing." In SPIE's International Symposium on Optical Science, Engineering, and Instrumentation, edited by Kevin D. Bell, Michael K. Powers, and Jose M. Sasian. SPIE, 1998. http://dx.doi.org/10.1117/12.332471.

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Zabi, Alexandre. "The CMS calorimeter trigger upgrade for the LHC Run II." In Technology and Instrumentation in Particle Physics 2014. Trieste, Italy: Sissa Medialab, 2015. http://dx.doi.org/10.22323/1.213.0414.

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Heron, J. P., and Roger F. Woods. "Accelerating run-time reconfiguration on custom computing machines." In SPIE's International Symposium on Optical Science, Engineering, and Instrumentation, edited by Franklin T. Luk. SPIE, 1998. http://dx.doi.org/10.1117/12.325718.

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Звіти організацій з теми "Instrumentation RQN"

Chiang, I. Requirements of instrumentation during the FY 1987 heavy ion run. Office of Scientific and Technical Information (OSTI), March 1986. http://dx.doi.org/10.2172/1157441.

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Harkema, Marcel, Dick Quartel, Rob van der Mei, and Bart Gijsen. JPMT: A Java Performance Monitoring Tool. Centre for Telematics and Information Technology (CTIT), 2003. http://dx.doi.org/10.3990/1.5152400.

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This paper describes our Java Performance Monitoring Toolkit (JPMT), which is developed for detailed analysis of the behavior and performance of Java applications. JPMT represents internal execution behavior of Java applications by event traces, where each event represents the occurrence of some activity, such as thread creation, method invocation, and locking contention. JPMT supports event filtering during and after application execution. Each event is annotated by high-resolution performance attributes, e.g., duration of locking contention and CPU time usage by method invocations. JPMT is an open toolkit, its event trace API can be used to develop custom performance analysis applications. JPMT comes with an event trace visualizer and a command-line event trace query tool for scripting purposes. The instrumentation required for monitoring the application is added transparently to the user during run-time. Overhead is minimized by only instrumenting for events the user is interested in and by careful implementation of the instrumentation itself.

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