Готові списки джерел за темами / Tendons Measurement Data processing

Добірка наукової літератури з теми "Tendons Measurement Data processing"

Автор: Grafiati
Опубліковано: 10 грудня 2022
Оновлено: 29 січня 2023

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Статті в журналах з теми "Tendons Measurement Data processing"

1

Andreu-Suárez, Á., C. Guillén-Astete, and M. Tortosa-Cabañas. "AB1489 VALIDATION OF QUANTITATIVE COMPUTER ANALYSIS OF ULTRASOUND IMAGES OF THE ACHILLES AND PATELLAR TENDONS IN HEALTHY SUBJECTS." Annals of the Rheumatic Diseases 81, Suppl 1 (May 23, 2022): 1848.3–1849. http://dx.doi.org/10.1136/annrheumdis-2022-eular.5275.

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BackgroundThe ultrasound study of tendons is a component of the complementary evaluation of patients with different musculoskeletal pathologies, which include immune-mediated rheumatological diseases. Until now, the assessment of the ultrasound status of the tendons largely depends on the subjectivity of the explorer, following specific guidelines such as the fibers structure, their global echogenicity and their thickness. This evaluation is of great interest for the diagnose, however its role for the follow-up is not so clear as the subjective evaluation may not perceive subtle changes.Computerized image analysis has recently been introduced to complement the echographic evaluation. Two of the most useful parameters in this analysis are the mean and mode of gray intensities. Both allow a global evaluation of the echostructure of an organ based on the distribution of shades of gray and the highest concentration of a particular shade, without evaluating the organization pattern of the image obtained.ObjectivesTo determine if computer analysis of static images is valid and suitable for its use in the study of tendons.MethodsThe ultrasound images of healthy volunteers were analyzed. The analysed tendons were: the body of the patellar tendon in transverse approach and the longitudinal section of the Achilles tendon, both of them from the dominant side. Image processing was performed using the ImageJ 1.53e program (Wayne Rasband & contributors – NIH, USA). A gray spectrum analysis (0-255) was performed with the calculation of the mean, standard deviation (SD), range, median and mode. Two measurements of different cuts of the patellar tendon (at the point of emergence of the tibial plateau and 20 mm proximal to it) and three longitudinal cuts of 20 mm of the Achilles tendon (paramedial, central and paralateral) were used for the validation process of the analysis carried out by the software.ResultsImages from 44 healthy volunteers were analyzed: 20 men and 24 women. 44 Achilles tendon image trios and 44 patellar tendon image pairs were analyzed and their corresponding means and modes were compared as related variables. In the study of the Achilles tendon, according to the Shapiro-Wilk test, the distribution of the gray distribution means had a non-normal distribution while the modes had a normal distribution. The means ± standard deviation of gray intensity was: 80.15 ± 26.04, 80.05 ± 25.57 and 79.91 ± 25.83 for the medial, central and lateral slices, respectively (Friedman, P=.454; Bonferroni not applicable). The means of the modes of gray intensities for the same measures were 67.35 ± 31.60, 67.76 ± 32.18 and 68 ± 32.18, respectively (ANOVA paired data, P=.259; Bonferroni not applicable). In the patellar tendon study, all measurement distributions were non-normal. Mean gray intensity at the point of tendon emergence (P) was 81.35 ± 29.63 and at 20mm proximal to this point it was 80.97 ± 29.08 (Wilcoxon, P=.327). The means of the modes at the same locations were 82.71 ± 28.75 and at 20mm proximal to this point it was 64.44 ± 33.31 (Wilcoxon, P=.079).Figure 1.Image analysis of an Achilles tendon in the central longitudinal plane.ConclusionThe quantitative analysis of static images of healthy tendons shows no differences between the same structures in longitudinal or transverse planes.Based on this validation test, the demonstration of sensitivity to change caused by any stimulus (sport, noxae or treatments) could allow its use as a complementary instrument for the assessment of tendinous structures over time.Disclosure of InterestsÁfrica Andreu-Suárez: None declared, Carlos Guillén-Astete Speakers bureau: Novartis, Janssen, Abbvie, Grunenthal, UCB, Gebro, Paid instructor for: Roche, Novartis, Janssen, Esteve, Menarini, Consultant of: Janssen, Novartis, Roche, Grant/research support from: Pfizer, Grunenthal, Gebro, Novartis, Marina Tortosa-Cabañas: None declared
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Guo, Bin, Dongdong Chen, Linsheng Huo, and Gangbing Song. "Monitoring of Grouting Compactness in Tendon Duct Using Multi-Sensing Electro-Mechanical Impedance Method." Applied Sciences 10, no. 6 (March 16, 2020): 2018. http://dx.doi.org/10.3390/app10062018.

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The structural integrity of post-tensioning prestressed concrete structures with tendon ducts highly depends on the grouting quality in construction. This paper proposes a real-time approach to monitoring the grouting compactness in tendon ducts using the multi-sensing electro-mechanical impedance (EMI) method. When Lead Zirconate Titanate (PZT) transducers with different pre-selected dimensions are serially connected and mounted on a structure at distributed locations, each PZT provides unique resonance frequency coupled with the local structural physical property. Therefore, the impedance with multiple peaks of the serially connected multiple PZTs can be captured during a single measurement, which significantly simplifies the measurement procedure and reduces the data processing time. In addition, the wiring for the PZT sensors is also simplified. In this research, the feasibility of the proposed method was experimentally and numerically investigated to monitor the grouting compactness in a tendon duct specimen. The 3-dB mean absolute percentage deviation (MAPD) was applied to quantify the variations of the impedance signatures measured from five different grouting levels. Both experimental and numerical results verify the feasibility of using the proposed method for monitoring the grouting compactness in tendon ducts.
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Nakajima, Tomotaka, Richard E. Hughes, and Kai-Nan An. "VALIDATION OF MRI-BASED MEASUREMENTS OF SUPRASPINATUS MORPHOLOGY." Journal of Musculoskeletal Research 07, no. 01 (March 2003): 15–23. http://dx.doi.org/10.1142/s021895770300096x.

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The goal of this study was to visualize the supraspinatus tendon three-dimensionally using fast spin-echo (FSE) MRI and validate the accuracy of measuring the dimensions of the supraspinatus tendon based on 3D reconstructed images. Nine cadaver shoulders (51–84 y/o, mean 70.0 y/o) were imaged at conventional T2-weighted spin-echo (CSE), gradient echo (GRE), and 3D T2-weighted FSE sequences. Each "object" of the supraspinatus muscle, tendon and scapula was three-dimensionally reconstructed using ANALYZE™ image data processing software. The FSE images revealed significantly higher contrast of the tendon and contrast-to-noise ratios of the fat-to-tendon and fat-to-muscle. The length of the anterior, middle, and posterior portions of the tendon were measured in two ways: (1) from the three-dimensional reconstructed images, and (2) directly from the cadaver specimen using calipers. No statistically significant differences were found between the ANALYZE™ and caliper measurements using a paired t-test for the anterior (p = 0.55), middle (p = 0.57) and posterior (p = 0.44) portions of the supraspinatus. The 3D FSE sequence exhibits higher spatial resolution, spends shorter acquisition time, and constructs a voxel data set. These advantages can prevent blurring artifacts when imaging the supraspinatus tendon of a human body. Tendon length measurements derived from three-dimensional reconstructions using ANALYZE™ were found to be good estimates of actual tendon length. Therefore, the combination of FSE sequence and 3D image data processing provides a method for noninvasive quantitative analysis of supraspinatus tendon morphology. The results lay the groundwork for future quantitative studies of cuff pathology.
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KAWATA, Satoshi, and Shigeo MINAMI. "Data processing in spectroscopic measurement." Journal of the Spectroscopical Society of Japan 35, no. 1 (1986): 24–41. http://dx.doi.org/10.5111/bunkou.35.24.

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Fowler, Kim. "Data processing in measurement instrumentation." IEEE Instrumentation and Measurement Magazine 9, no. 6 (December 2006): 36–42. http://dx.doi.org/10.1109/mim.2006.250649.

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Weber, J. F., A. M. R. Agur, A. Y. Fattah, K. D. Gordon, and M. L. Oliver. "Tensile mechanical properties of human forearm tendons." Journal of Hand Surgery (European Volume) 40, no. 7 (May 4, 2015): 711–19. http://dx.doi.org/10.1177/1753193415584715.

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Previous studies of the mechanical properties of tendons in the upper limb have used embalmed specimens or sub-optimal methods of measurement. The aim of this study was to determine the biomechanical properties of all tendons from five fresh frozen cadaveric forearms using updated methodology. The cross-sectional area of tendons was accurately measured using a laser reflectance system. Tensile testing was done in a precision servo-hydraulic device with cryo-clamp fixation. We determined that the cross-sectional area of some tendons is variable and directly influences the calculated material properties; visual estimation of this is unreliable. Data trends illustrate that digital extensor tendons possess the greatest tensile strength and a higher Young’s modulus than other tendon types.
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Melichar, Martin, and Dana Kubátová. "Processing Data from Automatic Measurement Device." Procedia Engineering 100 (2015): 899–906. http://dx.doi.org/10.1016/j.proeng.2015.01.447.

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Müller-Trapet, Markus, and Michael Vorländer. "Signal processing for hemispherical measurement data." Journal of the Acoustical Society of America 133, no. 5 (May 2013): 3525. http://dx.doi.org/10.1121/1.4806341.

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Fateev, V. F., and A. P. Aleshkin. "Processing of multiple-site optical measurement data." Journal of Optical Technology 67, no. 7 (July 1, 2000): 634. http://dx.doi.org/10.1364/jot.67.000634.

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Maack, Stefan, Stefan Küttenbaum, and Ernst Niederleithinger. "Practical procedure for the precise measurement of geometrical tendon positions in concrete with ultrasonic echo." MATEC Web of Conferences 364 (2022): 03008. http://dx.doi.org/10.1051/matecconf/202236403008.

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Existing concrete structures were usually designed for lifetimes of several decades. The current and urgently required efforts to increase sustainability and protect the environment will likely result in extended service lives up to 100 years. To achieve such objectives, it is required to assess structures over their entire lifecycles. Non-destructive testing (NDT) methods can reliably support the assessment of existing structures during the construction, operational, and decommissioning phases. One of the most important and safety-relevant components of a prestressed concrete structure are the tendons. NDT methods such as the ultrasonic echo method are suitable for both the detection and the localization of the tendons, i.e., the measurement of their geometrical position inside the component. The uniqueness of structures, concrete heterogeneity, and varying amounts of secondary components such as the reinforcement represent obstacles in the application of these methods in practice. The aim of this contribution is to demonstrate a practicable procedure, that can be used in the field to determine the parameters required for the measuring data analysis without extensive knowledge about the investigated components. For this purpose, a polyamide reference specimen is used to show which steps are required to obtain reliable imaging information on the position of tendons from the measurement data. The procedure is then demonstrated on a concrete test specimen that covers various relevant and practice-oriented test scenarios, such as varying tendon depths and component thicknesses.
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Дисертації з теми "Tendons Measurement Data processing"

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Jungner, Andreas. "Ground-Based Synthetic Aperture Radar Data processing for Deformation Measurement." Thesis, KTH, Geodesi och satellitpositionering, 2009. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-199677.

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This thesis describes a first hands-on experience working with a Ground-Based Synthetic Aperture Radar (GB-SAR) at the Institute of Geomatics in Castelldefels (Barcelona, Spain), used to exploit radar interferometry usually employed on space borne platforms. We describe the key concepts of a GB-SAR as well as the data processing procedure to obtain deformation measurements. A large part of the thesis work have been devoted to development of GB-SAR processing tools such as coherence and interferogram generation, automating the co-registration process, geocoding of GB-SAR data and the adaption of existing satellite SAR tools to GB-SAR data. Finally a series of field campaigns have been conducted to test the instrument in different environments to collect data necessary to develop GB-SAR processing tools as well as to discover capabilities and limitations of the instrument.   The key outcome of the field campaigns is that high coherence necessary to conduct interferometric measurements can be obtained with a long temporal baseline. Several factors that affect the result are discussed, such as the reflectivity of the observed scene, the image co-registration and the illuminating geometry.
Det här examensarbetet bygger på erfarenheter av arbete med en mark-baserad syntetisk apertur radar (GB-SAR) vid Geomatiska Institutet i Castelldefels (Barcelona, Spanien). SAR tekniken tillåter radar interferometri som är en vanligt förekommande teknik både på satellit och flygburna platformar. Det här arbetet beskriver instrumentets tekniska egenskaper samt behandlingen av data for att uppmäta deformationer. En stor del av arbetet har ägnats åt utveckling av GB-SAR data applikationer som koherens och interferogram beräkning, automatisering av bild matchning med skript, geokodning av GB-SAR data samt anpassning av befintliga SAR program till GB-SAR data. Slutligen har mätningar gjorts i fält for att samla in data nödvändiga for GB-SAR applikations utvecklingen samt få erfarenhet av instrumentets egenskaper och begränsningar.   Huvudresultatet av fältmätningarna är att hög koherens nödvändig för interferometriska mätningar går att uppnå med relativ lång tid mellan mätepokerna. Flera faktorer som påverkar resultatet diskuteras, som det observerade områdets reflektivitet, radar bild matchningen och den illuminerande geometrin.
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Arshad, Norhashim Mohd. "Real-time data compression for machine vision measurement systems." Thesis, Liverpool John Moores University, 1998. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.285284.

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Jah, Moriba Kemessia. "Mars aerobraking spacecraft state estimation by processing inertial measurement unit data." Diss., Connect to online resource, 2005. http://wwwlib.umi.com/dissertations/fullcit/3178333.

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Johansson, Peter. "Plant Condition Measurement from Spectral Reflectance Data." Thesis, Linköping University, Computer Vision, 2010. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-59286.

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The thesis presents an investigation of the potential of measuring plant condition from hyperspectral reflectance data. To do this, some linear methods for embedding the high dimensional hyperspectral data and to perform regression to a plant condition space have been compared. A preprocessing step that aims at normalized illumination intensity in the hyperspectral images has been conducted and some different methods for this purpose have also been compared.A large scale experiment has been conducted where tobacco plants have been grown and treated differently with respect to watering and nutrition. The treatment of the plants has served as ground truth for the plant condition. Four sets of plants have been grown one week apart and the plants have been measured at different ages up to the age of about five weeks. The thesis concludes that there is a relationship between plant treatment and their leaves' spectral reflectance, but the treatment has to be somewhat extreme for enabling a useful treatment approximation from the spectrum. CCA has been the proposed method for calculation of the hyperspectral basis that is used to embed the hyperspectral data to the plant condition (treatment) space. A preprocessing method that uses a weighted normalization of the spectrums for illumination intensity normalization is concluded to be the most powerful of the compared methods.

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Jakovljevic, Sasa. "Data collecting and processing for substation integration enhancement." Texas A&M University, 2003. http://hdl.handle.net/1969/93.

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Trumstedt, Karl. "Evaluation of methods for loading and processing of measurement data in Oracle." Thesis, KTH, Skolan för datavetenskap och kommunikation (CSC), 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-181305.

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Shasha, Ziphozakhe Theophilus. "Measurement of the usability of web-based hotel reservation systems." Thesis, Cape Peninsula University of Technology, 2016. http://hdl.handle.net/20.500.11838/2353.

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Thesis (MTech (Business Information Systems))--Cape Peninsula University of Technology, 2016.
The aim of this research project was to determine what the degree of usability is of a sample of online reservation systems of Cape Town hotels. The literature has indicated that the main aim of website usability is to make the engagement process with a website a more efficient and enjoyable experience. Researchers noted that well designed, high-quality websites, with grammatically accurate content, create a trustworthy online presence. User-friendly sites also attract far more traffic. Previous research has also shown that a loss of potential sales is possible due to users being unable to find what they want, if poor website design has been implemented. Loss of potential income through repeat visits is also a possibility, due to a negative user experience. The research instrument that was employed in this research is usability testing. It is a technique used to evaluate product development that incorporates user feedback in an attempt to create instruments and products that meet user needs, and to decrease costs. The research focused on Internet-based hotel reservation systems. Only the usability was measured. Both standard approaches were used in this research project, in a combined quantitative and qualitative research design. In conclusion, the purpose of this research was to determine the degree of usability of specified Cape Town hotel online reservation systems. The outcomes of this study indicated interesting patterns in that reservation systems met user requirements more often than expected. However, the figures of acceptability obtained were still below the generally accepted norms for usability. The amount of time spent to complete a booking also decreased, as users worked on more than one reservation system.
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Lloyd, Timothy Brian. "Surface extraction from coordinate measurement data to facilitate dimensional inspection." Thesis, Georgia Institute of Technology, 1999. http://hdl.handle.net/1853/15815.

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Zhao, Haiquan. "Measurement and resource allocation problems in data streaming systems." Diss., Georgia Institute of Technology, 2010. http://hdl.handle.net/1853/34785.

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In a data streaming system, each component consumes one or several streams of data on the fly and produces one or several streams of data for other components. The entire Internet can be viewed as a giant data streaming system. Other examples include real-time exploratory data mining and high performance transaction processing. In this thesis we study several measurement and resource allocation optimization problems of data streaming systems. Measuring quantities associated with one or several data streams is often challenging because the sheer volume of data makes it impractical to store the streams in memory or ship them across the network. A data streaming algorithm processes a long stream of data in one pass using a small working memory (called a sketch). Estimation queries can then be answered from one or more such sketches. An important task is to analyze the performance guarantee of such algorithms. In this thesis we describe a tail bound problem that often occurs and present a technique for solving it using majorization and convex ordering theories. We present two algorithms that utilize our technique. The first is to store a large array of counters in DRAM while achieving the update speed of SRAM. The second is to detect global icebergs across distributed data streams. Resource allocation decisions are important for the performance of a data streaming system. The processing graph of a data streaming system forms a fork and join network. The underlying data processing tasks consists of a rich set of semantics that include synchronous and asynchronous data fork and data join. The different types of semantics and processing requirements introduce complex interdependence between various data streams within the network. We study the distributed resource allocation problem in such systems with the goal of achieving the maximum total utility of output streams. For networks with only synchronous fork and join semantics, we present several decentralized iterative algorithms using primal and dual based optimization techniques. For general networks with both synchronous and asynchronous fork and join semantics, we present a novel modeling framework to formulate the resource allocation problem, and present a shadow-queue based decentralized iterative algorithm to solve the resource allocation problem. We show that all the algorithms guarantee optimality and demonstrate through simulation that they can adapt quickly to dynamically changing environments.
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10

蘇植良 and Chek-leung Bassanio So. "A study of decision support system application in productivity measurement by micro-computer." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 1985. http://hub.hku.hk/bib/B31263392.

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Книги з теми "Tendons Measurement Data processing"

1

Angel, Muñoz-Ruiz, and Vromans Herman, eds. Data acquisition and measurement techniques. Buffalo Grove, Ill: Interpharm Press, 1998.

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2

G, Piersol Allan, ed. Random data: Analysis and measurement procedures. 2nd ed. New York: Wiley, 1986.

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3

Breaker, L. C. A note on processing sea level data. Monterey, Calif: Naval Postgraduate School, 1986.

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4

Sales productivity measurement. Milwaukee, Wis: ASQC Quality Press, 1995.

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5

Resources, Florida Legislature Joint Committee on Information Technology. Data center customer satisfactions: A performance measurement tool. Tallahassee, Fla. (111 W. Madison St., Room 876, Tallahassee 32399-1400): The Committee, 1993.

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6

Pellizzari, Edo D. A comparative evaluation of GC/MS data analysis processing. Research Triangle Park, NC: U.S. Environmental Protection Agency, Atmospheric Sciences Research Laboratory, 1985.

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7

Microprocessors in industrial measurement and control. Blue Ridge Summit, PA: TAB Professional and Reference Books, 1987.

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8

Alan, Roach, Chapman N. B. 1916-, and ACOL (Project), eds. Measurement, statistics, and computation. Chichester [West Sussex]: Published on behalf of ACOL, London by Wiley, 1987.

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9

W, Robinson David, and Reid Graeme T, eds. Interferogram analysis: Digital fringe pattern measurement techniques. Bristol: Institute of Physics, 1993.

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10

Naukovo-tekhnichna konferent︠s︡ii︠a︡ "Vymiri︠u︡valʹna ta obchysli︠u︡valʹna tekhnika v tekhnolohichnykh prot︠s︡esakh" (5th 1998 Khmelʹnyt︠s︡ʹkyĭ, Ukraine). Vymiri︠u︡valʹna ta obchysli︠u︡valʹna tekhnika v tekhnolohichnykh prot︠s︡esakh: Za rezulʹtatamy V naukovo-tekhnichnoï konferent︠s︡iï "Vymiri︠u︡valʹna ta obchysli︠u︡valʹna tekhnika v tekhnolohichnykh prot︠s︡esakh" (16-19 chervni︠a︡ 1998 r., m. Khmelʹnyt︠s︡ʹkyĭ). Khmelʹnyt︠s︡ʹkyĭ: NVP "Evirika", 1998.

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Частини книг з теми "Tendons Measurement Data processing"

1

Rabinovich, Semyon G. "Statistical Methods for Experimental Data Processing." In Evaluating Measurement Accuracy, 71–105. New York, NY: Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4614-6717-5_3.

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Rabinovich, Semyon G. "Statistical Methods for Experimental Data Processing." In Evaluating Measurement Accuracy, 71–100. New York, NY: Springer New York, 2009. http://dx.doi.org/10.1007/978-1-4419-1456-9_3.

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Rabinovich, Semyon G. "Statistical Methods for Experimental Data Processing." In Evaluating Measurement Accuracy, 71–105. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-60125-0_3.

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4

Baker, F. S., R. E. Carter, and G. J. Privett. "Computer Control and Data Processing in Extrusion Rheometers." In Rheological Measurement, 151–88. Dordrecht: Springer Netherlands, 1993. http://dx.doi.org/10.1007/978-94-017-2898-0_6.

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Albrecht, H. E., M. Borys, N. Damaschke, and C. Tropea. "Fundamentals of Data Processing." In Laser Doppler and Phase Doppler Measurement Techniques, 529–43. Berlin, Heidelberg: Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/978-3-662-05165-8_10.

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Rabinovich, Semyon G. "Examples of Measurements and Measurement Data Processing." In Evaluating Measurement Accuracy, 235–67. New York, NY: Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4614-6717-5_8.

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Rabinovich, Semyon G. "Examples of Measurements and Measurement Data Processing." In Evaluating Measurement Accuracy, 209–38. New York, NY: Springer New York, 2009. http://dx.doi.org/10.1007/978-1-4419-1456-9_8.

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Rabinovich, Semyon G. "Examples of Measurements and Measurement Data Processing." In Evaluating Measurement Accuracy, 227–55. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-60125-0_8.

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Rabinovich, Semyon G. "Statistical Methods for Experimental Data Processing." In Measurement Errors and Uncertainties, 96–117. New York, NY: Springer New York, 2000. http://dx.doi.org/10.1007/978-1-4757-3256-6_4.

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Bouhedda, Mounir. "FPGA-based ANFIS linearizer for measurement systems." In Advanced Data Acquisition and Intelligent Data Processing, 213–31. New York: River Publishers, 2022. http://dx.doi.org/10.1201/9781003337027-9.

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Тези доповідей конференцій з теми "Tendons Measurement Data processing"

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Eltaher, Yahia, and Shouxiang Ma. "Carbon/Oxygen Spectral Data Processing, its Affiliation to Scintillation Detector Selectivity & their Impact on Reservoir Saturation Monitoring, Lessons Learnt and Recommended Workflow." In SPE Reservoir Characterisation and Simulation Conference and Exhibition. SPE, 2023. http://dx.doi.org/10.2118/212613-ms.

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Abstract For decades, it has been affirmed that pulsed neutron (PN) spectral Carbon/Oxygen (C/O) logging is the industry's most robust salinity-independent means for reservoir saturation monitoring (RSM); yet C/O logging still comes with considerable uncertainty that has to be identified and handled with ultimate care. In this paper we investigate two main aspects of such uncertainties and showcase some recommendations to enhance the accuracy of the measurement for improved reservoir saturation monitoring. Two fundamental factors affecting C/O measurement are the type of gamma ray (GR) scintillation detector crystals used and the method for C/O spectral data processing. Currently, there are mostly six types of crystals used as GR detectors in commercial PN logging tools for routine operations. Each detector type has its advantages and limitations. With respect to data processing, the most commonly adopted method is the Windows method, due to its simplicity and statistical robustness. Whereas the Yields method is much more complicated to develop and prone to statistical variation, though it tends to provide more accurate results. Similarly, each of these two methods has its own set of advantages and disadvantages. A comprehensive study involved different logging instruments and datasets acquired under various logging environments showed that both the physical properties of the detector, as well as the characteristics of the data processing method, have to be fully considered for optimum results. The Windows method, for instance, can be adequate for detectors of statistical nature. Unlike the Yields method, which requires an optimized set of detector and tool specifications. Where for certain GR detectors, significant differences in C/O data and consequently the calculated fluid saturation were observed when processed by using the Windows and the Yields methods. C/O data processing method selection is commonly fit for purpose; yet with the continuous advancement in GR detection technology, standardization is recommended for accurate and precise log measurement. Accuracy and precision are keys to C/O logging and consequently successful reservoir surveillance and oil field management. Accordingly, a new standard RSM workflow is recommended where all available elements are properly tailored, to enhance the quality of the answer product.
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2

"SESSION: Intelligent Data Processing, Measurement." In 2004 2nd International IEEE Conference on 'Intelligent Systems'. Proceedings. IEEE, 2004. http://dx.doi.org/10.1109/is.2004.1344657.

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Mahiout, Said, Vladislav Torlov, Mohamed Gouda, and Ahmed Abouzaid. "High Resolution Acoustic Analysis for Improved Formation Evaluation of Carbonate and Clastic Reservoirs." In ADIPEC. SPE, 2022. http://dx.doi.org/10.2118/211603-ms.

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Abstract Developing new interpretation methods in line with new technology measurements to improve reservoir characterization becomes a must to overcome the challenges that petrophysicists are facing on a daily basis, among others, thinly bedded reservoirs. The standard acoustic logs vertical resolution (VR) is oftentimes insufficient to resolve the Formation features. In the case of laminated thin beds (LTB), conventional petrophysical characterization has often delivered results, such as hydrocarbon saturation, affected by uncertainties. The main objective of this work is to develop a methodology, and to reliably integrate high-resolution acoustic processing outputs into the Formation evaluation (FE) routines, including the quality controls to identify and remove artifacts and ultimately enhance the accuracy of reservoir characterization. The approach used in this study is based on the high-resolution acoustic slowness analysis. The measurement standard VR of the acoustic array measurement is determined by the array aperture (the length of the receiver’s array section; generally 3.5 ft), which tends to obscure features that are thinner than the aperture length. The configuration of the highest resolution is 0.5 ft aperture subarray combination, which considers only two receiver levels in the subarray, i.e., single Rx-Rx spacing. The processing has limitations, inherent to physics; one of them is the "Validity condition". The high-resolution acoustic slowness methodology cannot be applied to acoustic waveform arrivals with very long wavelengths. The subarray aperture should be greater than a quarter wavelength of the wave being used. In addition, as increasing the resolution goes hand in hand with decreasing the number of waveforms, the signal-to-noise ratio decreases. There are several quality control and consistency check workflows to be introduced in this study, which will help in differentiating between the real high-resolution acoustic slowness data and any encountered processing artifacts. These analyses will enable the right evaluation strategy that will enhance the accuracy of FE. Examples highlighting the value of high-resolution acoustic processing/analysis for both carbonate and clastic reservoirs evaluation are provided in the paper. Finally, this approach will evaluate the potential added value to the FE of the heterogeneous reservoirs. We propose workflows in various Formations and borehole settings to demonstrate that with the aid of enhanced VR acoustic data, the log interpretation becomes more representative of the actual subsurface. The resulting sonic profiles show better consistency with other log responses of similar resolution. These workflows then can be used on a more regular basis, especially in complex situations.
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Müller-Trapet, Markus, and Michael Vorländer. "Signal processing for hemispherical measurement data." In ICA 2013 Montreal. ASA, 2013. http://dx.doi.org/10.1121/1.4798973.

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Kajfez, Darko. "Data Processing For Q Factor Measurement." In 43rd ARFTG Conference Digest. IEEE, 1994. http://dx.doi.org/10.1109/arftg.1994.327064.

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"Medical Data Processing I." In 2006 IEEE International Workshop on Medical Measurement and Applications. IEEE, 2006. http://dx.doi.org/10.1109/memea.2006.1644445.

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"Medical data processing II." In 2006 IEEE International Workshop on Medical Measurement and Applications. IEEE, 2006. http://dx.doi.org/10.1109/memea.2006.1644473.

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Ren, Ling, Guangsheng Zhang, Chunhong Shi, Lin Sun, Yunpeng Ren, and Hong Chen. "The Discussion on Data Processing of Measurement." In 2nd International Conference on Advances in Mechanical Engineering and Industrial Informatics (AMEII 2016). Paris, France: Atlantis Press, 2016. http://dx.doi.org/10.2991/ameii-16.2016.210.

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Xinyu Hu, Zuobing Chen, and Daode Zhang. "Research on data processing in vibration measurement." In 2009 4th IEEE Conference on Industrial Electronics and Applications (ICIEA). IEEE, 2009. http://dx.doi.org/10.1109/iciea.2009.5138845.

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Xiaoqing, Huang, and Hu Yonghong. "Data processing technology used in power quality measurement system." In Signal Processing (ICICS). IEEE, 2009. http://dx.doi.org/10.1109/icics.2009.5397655.

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Звіти організацій з теми "Tendons Measurement Data processing"

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Hall, Candice, and Robert Jensen. Utilizing data from the NOAA National Data Buoy Center. Engineer Research and Development Center (U.S.), March 2021. http://dx.doi.org/10.21079/11681/40059.

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This Coastal and Hydraulics Engineering Technical Note (CHETN) guides users through the quality control (QC) and processing steps that are necessary when using archived U.S. National Oceanic and Atmospheric Administration (NOAA) National Data Buoy Center (NDBC) wave and meteorological data. This CHETN summarizes methodologies to geographically clean and QC NDBC measurement data for use by the U.S. Army Corps of Engineers (USACE) user community.
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Jasper, Paul. How can new technology support better measurement of extreme poverty? Data and Evidence to End Extreme Poverty, July 2021. http://dx.doi.org/10.55158/deepwpr1.

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A research insight summarising a longer review exploring how innovation in data collection, data processing, and data analysis, might provide solutions to ‘pinch points’ in policymaking and management around poverty reduction.
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Tzavidis, Nikos, Angela Luna Hernandez, Paul Jasper, and Molly Scott. How can new technology support better measurement of extreme poverty? Data and Evidence to End Extreme Poverty, July 2021. http://dx.doi.org/10.55158/deepwp2.

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This paper is one of a series produced by the Data and Evidence to End Extreme Poverty (DEEP) research programme to explore how innovation in data collection, data processing, and data analysis might, with further development, provide solutions to ‘pinch points’ in policymaking and policy management for poverty reduction.
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Alchanatis, Victor, Stephen W. Searcy, Moshe Meron, W. Lee, G. Y. Li, and A. Ben Porath. Prediction of Nitrogen Stress Using Reflectance Techniques. United States Department of Agriculture, November 2001. http://dx.doi.org/10.32747/2001.7580664.bard.

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Commercial agriculture has come under increasing pressure to reduce nitrogen fertilizer inputs in order to minimize potential nonpoint source pollution of ground and surface waters. This has resulted in increased interest in site specific fertilizer management. One way to solve pollution problems would be to determine crop nutrient needs in real time, using remote detection, and regulating fertilizer dispensed by an applicator. By detecting actual plant needs, only the additional nitrogen necessary to optimize production would be supplied. This research aimed to develop techniques for real time assessment of nitrogen status of corn using a mobile sensor with the potential to regulate nitrogen application based on data from that sensor. Specifically, the research first attempted to determine the system parameters necessary to optimize reflectance spectra of corn plants as a function of growth stage, chlorophyll and nitrogen status. In addition to that, an adaptable, multispectral sensor and the signal processing algorithm to provide real time, in-field assessment of corn nitrogen status was developed. Spectral characteristics of corn leaves reflectance were investigated in order to estimate the nitrogen status of the plants, using a commercial laboratory spectrometer. Statistical models relating leaf N and reflectance spectra were developed for both greenhouse and field plots. A basis was established for assessing nitrogen status using spectral reflectance from plant canopies. The combined effect of variety and N treatment was studied by measuring the reflectance of three varieties of different leaf characteristic color and five different N treatments. The variety effect on the reflectance at 552 nm was not significant (a = 0.01), while canonical discriminant analysis showed promising results for distinguishing different variety and N treatment, using spectral reflectance. Ambient illumination was found inappropriate for reliable, one-beam spectral reflectance measurement of the plants canopy due to the strong spectral lines of sunlight. Therefore, artificial light was consequently used. For in-field N status measurement, a dark chamber was constructed, to include the sensor, along with artificial illumination. Two different approaches were tested (i) use of spatially scattered artificial light, and (ii) use of collimated artificial light beam. It was found that the collimated beam along with a proper design of the sensor-beam geometry yielded the best results in terms of reducing the noise due to variable background, and maintaining the same distance from the sensor to the sample point of the canopy. A multispectral sensor assembly, based on a linear variable filter was designed, constructed and tested. The sensor assembly combined two sensors to cover the range of 400 to 1100 nm, a mounting frame, and a field data acquisition system. Using the mobile dark chamber and the developed sensor, as well as an off-the-shelf sensor, in- field nitrogen status of the plants canopy was measured. Statistical analysis of the acquired in-field data showed that the nitrogen status of the com leaves can be predicted with a SEP (Standard Error of Prediction) of 0.27%. The stage of maturity of the crop affected the relationship between the reflectance spectrum and the nitrogen status of the leaves. Specifically, the best prediction results were obtained when a separate model was used for each maturity stage. In-field assessment of the nitrogen status of corn leaves was successfully carried out by non contact measurement of the reflectance spectrum. This technology is now mature to be incorporated in field implements for on-line control of fertilizer application.
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Engel, Bernard, Yael Edan, James Simon, Hanoch Pasternak, and Shimon Edelman. Neural Networks for Quality Sorting of Agricultural Produce. United States Department of Agriculture, July 1996. http://dx.doi.org/10.32747/1996.7613033.bard.

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The objectives of this project were to develop procedures and models, based on neural networks, for quality sorting of agricultural produce. Two research teams, one in Purdue University and the other in Israel, coordinated their research efforts on different aspects of each objective utilizing both melons and tomatoes as case studies. At Purdue: An expert system was developed to measure variances in human grading. Data were acquired from eight sensors: vision, two firmness sensors (destructive and nondestructive), chlorophyll from fluorescence, color sensor, electronic sniffer for odor detection, refractometer and a scale (mass). Data were analyzed and provided input for five classification models. Chlorophyll from fluorescence was found to give the best estimation for ripeness stage while the combination of machine vision and firmness from impact performed best for quality sorting. A new algorithm was developed to estimate and minimize training size for supervised classification. A new criteria was established to choose a training set such that a recurrent auto-associative memory neural network is stabilized. Moreover, this method provides for rapid and accurate updating of the classifier over growing seasons, production environments and cultivars. Different classification approaches (parametric and non-parametric) for grading were examined. Statistical methods were found to be as accurate as neural networks in grading. Classification models by voting did not enhance the classification significantly. A hybrid model that incorporated heuristic rules and either a numerical classifier or neural network was found to be superior in classification accuracy with half the required processing of solely the numerical classifier or neural network. In Israel: A multi-sensing approach utilizing non-destructive sensors was developed. Shape, color, stem identification, surface defects and bruises were measured using a color image processing system. Flavor parameters (sugar, acidity, volatiles) and ripeness were measured using a near-infrared system and an electronic sniffer. Mechanical properties were measured using three sensors: drop impact, resonance frequency and cyclic deformation. Classification algorithms for quality sorting of fruit based on multi-sensory data were developed and implemented. The algorithms included a dynamic artificial neural network, a back propagation neural network and multiple linear regression. Results indicated that classification based on multiple sensors may be applied in real-time sorting and can improve overall classification. Advanced image processing algorithms were developed for shape determination, bruise and stem identification and general color and color homogeneity. An unsupervised method was developed to extract necessary vision features. The primary advantage of the algorithms developed is their ability to learn to determine the visual quality of almost any fruit or vegetable with no need for specific modification and no a-priori knowledge. Moreover, since there is no assumption as to the type of blemish to be characterized, the algorithm is capable of distinguishing between stems and bruises. This enables sorting of fruit without knowing the fruits' orientation. A new algorithm for on-line clustering of data was developed. The algorithm's adaptability is designed to overcome some of the difficulties encountered when incrementally clustering sparse data and preserves information even with memory constraints. Large quantities of data (many images) of high dimensionality (due to multiple sensors) and new information arriving incrementally (a function of the temporal dynamics of any natural process) can now be processed. Furhermore, since the learning is done on-line, it can be implemented in real-time. The methodology developed was tested to determine external quality of tomatoes based on visual information. An improved model for color sorting which is stable and does not require recalibration for each season was developed for color determination. Excellent classification results were obtained for both color and firmness classification. Results indicted that maturity classification can be obtained using a drop-impact and a vision sensor in order to predict the storability and marketing of harvested fruits. In conclusion: We have been able to define quantitatively the critical parameters in the quality sorting and grading of both fresh market cantaloupes and tomatoes. We have been able to accomplish this using nondestructive measurements and in a manner consistent with expert human grading and in accordance with market acceptance. This research constructed and used large databases of both commodities, for comparative evaluation and optimization of expert system, statistical and/or neural network models. The models developed in this research were successfully tested, and should be applicable to a wide range of other fruits and vegetables. These findings are valuable for the development of on-line grading and sorting of agricultural produce through the incorporation of multiple measurement inputs that rapidly define quality in an automated manner, and in a manner consistent with the human graders and inspectors.
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Federal Information Processing Standards Publication: data communication systems and services user-oriented performance measurement methods. Gaithersburg, MD: National Bureau of Standards, 1988. http://dx.doi.org/10.6028/nist.fips.155-1988.

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Federal Information Processing Standards Publication: for information systems - data communication systems and services - measurement method for user-oriented performance evaluation. Gaithersburg, MD: National Bureau of Standards, 1986. http://dx.doi.org/10.6028/nbs.fips.155.

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