Relevant bibliographies by topics / Automated Sampling

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Automated Sampling'

Author: Grafiati
Published: 5 June 2025
Last updated: 16 July 2025

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Journal articles on the topic "Automated Sampling"

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Tibbits, Matthew M., Chris Groendyke, Murali Haran, and John C. Liechty. "Automated Factor Slice Sampling." Journal of Computational and Graphical Statistics 23, no. 2 (2014): 543–63. http://dx.doi.org/10.1080/10618600.2013.791193.

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Kulakova, E. S., A. M. Safarov та V. I. Safarova. "Automated Аir Sampling System". Ecology and Industry of Russia 28, № 3 (2024): 16–21. http://dx.doi.org/10.18412/1816-0395-2024-3-16-21.

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A study was conducted of the problem of high-altitude air pollution in populated areas. A technical solution has been developed that allows automated monitoring of toxicants at various heights from the ground level. A design for a sampling device system coupled with an information system for controlling adjustable valves, registration and recording in a database is proposed. A scheme of a sampling system is presented that allows sampling at various heights in order to obtain a representative assessment of the impact of industrial emission sources on the air quality of a residential area. The distribution of toxicants in the atmospheric air near an industrial emission source was analyzed.
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Srinivasan, P. T. "Monitoring, sampling and automated analysis." Water Environment Research 74, no. 6 (2002): 46–70. http://dx.doi.org/10.2175/106143002x140404.

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Srinivasan, P. T. "Monitoring, Sampling, and Automated Analysis." Water Environment Research 75, no. 6 (2003): 51–64. http://dx.doi.org/10.2175/106143003x141367.

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Askew, Edward F., and Peter Craan. "Monitoring, Sampling, and Automated Analysis." Water Environment Research 78, no. 10 (2006): 1078–83. http://dx.doi.org/10.2175/106143006x119161.

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Srinivasan, P. T. "Monitoring, Sampling and Automated Analysis." Water Environment Research 81, no. 10 (2009): 981–85. http://dx.doi.org/10.2175/106143009x12445568399334.

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Ninomiya, Satoshi. "Automated Remote Sampling Mass Spectrometry." Journal of the Mass Spectrometry Society of Japan 70, no. 3 (2022): 209–10. http://dx.doi.org/10.5702/massspec.s22-54.

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Shamas, Jamal Y., and Victor C. Culpepper. "Monitoring, sampling, and automated analysis." Water Environment Research 69, no. 4 (1997): 415–18. http://dx.doi.org/10.2175/106143097x134731.

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Shamas, Jamal Y. "Monitoring, sampling, and automated analysis." Water Environment Research 70, no. 4 (1998): 418–23. http://dx.doi.org/10.2175/106143098x134145.

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Aryal, Niroj, Dongyang Deng, Manoj K. Jha, and Andrea Ofori‐Boadu. "Monitoring, sampling, and automated analysis." Water Environment Research 91, no. 10 (2019): 1288–93. http://dx.doi.org/10.1002/wer.1224.

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Dissertations / Theses on the topic "Automated Sampling"

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Amoako-Tuffour, Yaw. "Design of an automated ingestible gastrointestinal sampling device." Thesis, McGill University, 2014. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=123257.

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An ingestible, electromechanical capsule was designed to collect physical samples from the lumen of the human gastrointestinal tract with the aims of being able to better localize the source of gastrointestinal ailments, explore the microbiome, and monitor metabolic processes. A complete prototype was developed encompassing hardware, custom electronics, firmware and a novel sampling mechanism leveraging the cylindrical shape of the device. The prototype was assessed for its ability to collect samples and maintain their integrity; withstand the environmental conditions and forces associated with normal clinical use; and for its ability to transit safely through the gastrointestinal (GI) tract. The device was able to collect heterogeneous samples from an ex-vivo porcine intestine and maintain average sample cross-contamination of 7.58% over a 12 hour period at 37°C. The device was demonstrated to be an effective and non-invasive means to study the physiology of the GI tract and serve as a platform for further development in personalized medicine, drug delivery and GI intervention.<br>Une capsule électromécanique ingérable a été conçue pour recueillir des échantillons physiques du tractus gastro-intestinal humain dans le but de mieux localiser la source des malaises gastro-intestinaux, d'explorer le microbiome et de surveiller les processus métaboliques. Un prototype complet a été développé incluant matériel, électronique sur mesure, logiciel et un mécanisme d'échantillonnage novateur tirant parti de la forme cylindrique de l'appareil. Des tests ont été effectués afin d'évaluer la capacité du prototype à prélever des échantillons et maintenir leur intégrité, supporter les conditions environnementales et les forces associées à l'utilisation clinique normale, et transiter en toute sécurité à travers le tractus gastro-intestinal. La contamination croisée a été plafonnée à 7.58% sur une période de 12 heures à 37 ° C. Et l'appareil était capable de prélever des échantillons hétérogènes. Il a été démontré que ce dispositif est un moyen efficace et non-invasif pour étudier la physiologie du tractus gastro-intestinal et servir de plate-forme pour le développement futur de la médecine personnalisée, l'administration de médicaments et d'intervention GI.
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DOSSI, MATTEO. "Automated Reflection Picking and Inversion Applied to Glaciological GPR Surveys." Doctoral thesis, Università degli Studi di Trieste, 2017. http://hdl.handle.net/11368/2908199.

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The purpose of this thesis is to present an automated picking and inversion procedure, which is designed to accurately and objectively identify the main reflections within Ground Penetrating Radar (GPR) data sets; to characterize them in terms of their arrival times, peak amplitudes, and polarities; and to recover from these and other quantities the internal stratigraphy and EM properties of the subsurface. In this text the main features and formulas of the developed algorithms are presented, while also highlighting both the advantages and limitations of the proposed auto-picking and inversion procedure with respect to other commonly used methods. In particular, the algorithms are tested on a synthetic GPR profile and their performance is assessed by comparing the inversion results with the initial model. The main uncertainty factors of the procedure are also analyzed, with a particular focus on sampling-related signal distortions, leading to the definition of a recommended minimum threshold for the sampling rate selected during data acquisition. The procedure is also applied to a glaciological 3-D GPR data set, in order to study the internal stratigraphy, density distribution, total volume, and water content of an alpine glacier.
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Yu, Diana. "Development of mechanistic tools for understanding organic reactions: from manual to automated sampling." Thesis, University of British Columbia, 2017. http://hdl.handle.net/2429/60937.

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Kinetic studies were conducted on three unrelated reaction types using traditional and modified reaction monitoring tools. The Aza-Piancatelli rearrangement was studied through ReactIR and HPLC-MS to obtain a better understanding of why the substrate scope was limited. It was found that the Lewis acid catalyzed reaction is often zero-order, dependent on the lanthanide metal used. Off-cycle binding of the nucleophile to the Lewis acid was proposed to help explain the zero-order profile. Differences between Lewis and Brønsted acid catalysts were found through subsequent experiments assessing catalyst deactivation and the chemoselectivity of the products in the Aza-Piancatelli rearrangement. An automated sampling system was created for hands-free reaction monitoring and offline analysis by HPLC-MS to provide detailed information about more complicated reactions. The automated sampling system was modified for the study of microwave assisted reactions. This application allowed for more information to be derived from the field of poorly-understood microwave chemistry than allowed by previous technology. Comparisons were made between microwave-assisted and conventionally heated reactions, using a Claisen rearrangement as a model reaction. As expected, it was found that the Claisen rearrangement of allylphenyl ethers displayed similar kinetics between the two heating modes. The technology was also used briefly to search for the existence of non-thermal effects. It was shown that the sampling apparatus could be useful for collecting data observed from microwave-specific effects. Mechanistic studies were also conducted on the Kinugasa reaction to obtain a better understanding of why the reaction generally behaves poorly in regards to the formation of β-lactam product. To study the reaction, samples for HPLC-MS analysis were taken manually, then by a liquid handler, and then through direct-injection to the HPLC. It was found that its side-product formation was directly coupled to the desired product formation, suggesting that both the product and imine side-product stem from a common intermediate. Another little-known side-product was isolated, suggesting the common intermediate could be intercepted by select nucleophiles to form an amide. This finding will direct future attempts to find conditions to favor either β-lactam or amide formation.<br>Science, Faculty of<br>Chemistry, Department of<br>Graduate
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Van, Blommenstein D., S. Matope, and der Merwe A. F. Van. "Review and analysis of work sampling methods : the case of an automated labour performance measurement system using the work sampling method." Journal for New Generation Sciences, Vol 9, Issue 1: Central University of Technology, Free State, Bloemfontein, 2011. http://hdl.handle.net/11462/583.

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Published Article<br>This paper analyses work sampling and time study as work measurement methods with the view of employing them in an automated labour performance measurement system. These are compared with respect to Hawthorn effect, labour intensiveness, cost, tediousness and knowledge extensiveness. The analysis proves that work sampling is a better option for developing an automated labour performance measurement system that employs computer vision. Web cameras are used to feed real-time images to a central computer via USB extenders. The computer runs a standalone C++ application that uses a random function to establish when measurements are to be taken. The developed video camera footage is converted into a pixel matrix using OpenCV. This matrix is then filtered and analysed, enabling the tracking of a worker. The data generated is stored in text files. After the work sampling period has elapsed, the data is transferred into Microsoft Excel for analysis. Finally a report of the labour utilisation is generated in Microsoft Excel and then send to the analyst for review.
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Vafaee, Manouchehr S. "Evaluation and implementation of an automated blood sampling system for positron emission tomographic studies." Thesis, McGill University, 1993. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=57009.

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Quantification of physiological functions with positron emission tomography requires knowledge of the arterial radioactivity concentration. Automated blood sampling systems increase the accuracy of this measurement, particularly for short-lived tracers such as oxygen-15, by reducing the sampling interval to a fraction of a second. They, however, require correction for tracer delay between the arterial puncture site and the external radiation detector (external delay), and for the tracer bolus distortion in the sampling catheter (external dispersion).<br>We have evaluated and implemented the "Scanditronix" automated blood sampling system and measured its external delay and dispersion. PET studies of cerebral blood flow and oxygen metabolism using simultaneous manual and automated blood sampling were analyzed and compared. We show that the results obtained with automated blood sampling are more reliable than those based on manual sampling. We also present suggestions to further improve the reliability of quantitative PET studies based on automated blood sampling.
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Van, Blommestein D. L., S. Matope, G. Ruthven, and der Merwe A. F. Van. "Application of an automated labour performance measuring system at a confectionery company." Journal for New Generation Sciences, Vol 11, Issue 3: Central University of Technology, Free State, Bloemfontein, 2013. http://hdl.handle.net/11462/648.

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Published Article<br>This paper focuses on the implementation of a labour performance measuring system at a confectionery company. The computer vision based system is based on the work sampling methodology. It consists of four cameras linked to a central computer via USB extenders. The computer uses a random function in C++ in order to determine when measurements are to be taken. OpenCV is used to track the movement of a target worker's dominant hand at a given work station. Tracking is accomplished through the use of a bandwidth colour filter. The speed of the worker's hand is used to identify whether the worker is busy, idle or out of the frame over the course of the sampling period. Data collected by the system is written into a number of text files. The stored data is then exported to a Microsoft Excel 2007 spread sheet where it is analysed and a report on the labour utilisation is generated.
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Osman, Ahmad. "Automated evaluation of three dimensional ultrasonic datasets." Phd thesis, INSA de Lyon, 2013. http://tel.archives-ouvertes.fr/tel-00995119.

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Non-destructive testing has become necessary to ensure the quality of materials and components either in-service or at the production stage. This requires the use of a rapid, robust and reliable testing technique. As a main testing technique, the ultrasound technology has unique abilities to assess the discontinuity location, size and shape. Such information play a vital role in the acceptance criteria which are based on safety and quality requirements of manufactured components. Consequently, an extensive usage of the ultrasound technique is perceived especially in the inspection of large scale composites manufactured in the aerospace industry. Significant technical advances have contributed into optimizing the ultrasound acquisition techniques such as the sampling phased array technique. However, acquisition systems need to be complemented with an automated data analysis procedure to avoid the time consuming manual interpretation of all produced data. Such a complement would accelerate the inspection process and improve its reliability. The objective of this thesis is to propose an analysis chain dedicated to automatically process the 3D ultrasound volumes obtained using the sampling phased array technique. First, a detailed study of the speckle noise affecting the ultrasound data was conducted, as speckle reduces the quality of ultrasound data. Afterward, an analysis chain was developed, composed of a segmentation procedure followed by a classification procedure. The proposed segmentation methodology is adapted for ultrasound 3D data and has the objective to detect all potential defects inside the input volume. While the detection of defects is vital, one main difficulty is the high amount of false alarms which are detected by the segmentation procedure. The correct distinction of false alarms is necessary to reduce the rejection ratio of safe parts. This has to be done without risking missing true defects. Therefore, there is a need for a powerful classifier which can efficiently distinguish true defects from false alarms. This is achieved using a specific classification approach based on data fusion theory. The chain was tested on several ultrasound volumetric measures of Carbon Fiber Reinforced Polymers components. Experimental results of the chain revealed high accuracy, reliability in detecting, characterizing and classifying defects.
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Balantic, Cathleen Michelle. "Tools for landscape-scale automated acoustic monitoring to characterize wildlife occurrence dynamics." ScholarWorks @ UVM, 2019. https://scholarworks.uvm.edu/graddis/980.

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In a world confronting climate change and rapidly shifting land uses, effective methods for monitoring natural resources are critical to support scientifically-informed management decisions. By taking audio recordings of the environment, scientists can acquire presence-absence data to characterize populations of sound-producing wildlife over time and across vast spatial scales. Remote acoustic monitoring presents new challenges, however: monitoring programs are often constrained in the total time they can record, automated detection algorithms typically produce a prohibitive number of detection mistakes, and there is no streamlined framework for moving from raw acoustic data to models of wildlife occurrence dynamics. In partnership with a proof-of-concept field study in the U.S Bureau of Land Management’s Riverside East Solar Energy Zone in southern California, this dissertation introduces a new R software package, AMMonitor, alongside a novel body of work: 1) temporally-adaptive acoustic sampling to maximize the detection probabilities of target species despite recording constraints, 2) values-driven statistical learning tools for template-based automated detection of target species, and 3) methods supporting the construction of dynamic species occurrence models from automated acoustic detection data. Unifying these methods with streamlined data management, the AMMonitor software package supports the tracking of species occurrence, colonization, and extinction patterns through time, introducing the potential to perform adaptive management at landscape scales.
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Zuazo, Pablo [Verfasser], Klaus [Akademischer Betreuer] Butterbach-Bahl, and Heinz [Akademischer Betreuer] Rennenberg. "Development of a fully automated soil incubation and gas sampling system for quantifying trace gas emission pulses from soils at high temporal resolution." Freiburg : Universität, 2016. http://d-nb.info/1129080730/34.

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Junior, João Durval Arantes. "Desenvolvimento de um sistema semi-automático para coleta e fracionamento do plâncton, medição de variáveis físicas e químicas da água e determinação do espectro de tamanho e biomassa do zooplâncton." Universidade de São Paulo, 2006. http://www.teses.usp.br/teses/disponiveis/18/18139/tde-13122007-195833/.

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Um dos principais problemas relacionados aos estudos limnológicos realizados manualmente em laboratório consiste no grande esforço, tempo de análise e trabalho especializado necessário. Esses fatores limitam a quantidade de amostras possíveis de serem analisadas em um determinado estudo, já que recursos sejam eles reagentes, recursos financeiros ou tempo são limitados. No presente trabalho foi utilizado um sistema semi-automatizado de medidas de variáveis físicas e químicas da água. O sistema é composto por uma sonda multi-parâmetro (Horiba U-22) e um sistema de posicionamento global (GPS) acoplados a um micro-computador, que realizam medidas georeferenciadas em curtos intervalos de tempo, permitindo um rastreamento horizontal das características da água. Foi ainda desenvolvido um sistema semi-automático para coleta fracionada da comunidade planctônica por meio de bomba de sucção operada por bateria e filtro coletor com rede de plâncton de diferentes aberturas de malha. O material coletado foi fotografado por meio de sistema de aquisição digital de imagens (microscópio Zeiss equipado com câmera AxionCan). Neste trabalho foi produzido um software (Planktonscan) que a partir da análise das imagens capturadas permite produzir dados com estimativas das medidas e dimensões dos organismos, calcular biovolumes e, utilizando fatores de conversão, estimar os valores de biomassa. O software apresenta uma interface para identificação, calcula a densidade dos organismos e produz relatório gráfico com informações sobre os organismos individuais e sobre a comunidade. Os equipamentos e o software foram testados em análises limnológicas e amostragem de plâncton no reservatório do Monjolinho, São Carlos, SP, em dezembro de 2005. Os resultados obtidos foram comparados com os disponíveis na literatura e demonstraram a aplicabilidade do sistema.<br>A major problem associated with the study of planktonic communities lies on the difficulties of analyzing the collected material, a long time-consuming procedure. Biomass determination is also a step requiring great effort and is subjected to large errors. In the present work a semi-automated system for measuring physical and chemical variables in the water was developed. The system is made up by a flow-pump, a multi-parameter probe and a global positioning system coupled to a microcomputer that performs measurements at short time intervals, allowing a horizontal tracking of the water quality, in much shorter times than traditional methods. Another semi-automated device was developed for collecting separate plankton size fractions. It uses a battery operating suction-pump coupled to a filter with different mesh nets. The collected materials are then submitted to image computer acquisition (Axion Vision Zeiss System). Additionally, in this study a software was produced (Planktonscan), that taking the measures of individuals dimensions (length, width and height) calculates biovolume and using conversion factors calculate the biomass for each zooplankton organism identified in the sample. Both systems were tested, regarding the measurement of limnological variables and plankton sampling, in the Monjolinho Reservoir, SP. The performance was good, resulting in a larger number of points sampled (60) in a shorter sampling time (1 hour) than those usually required. The biomass results provided by Planktonscan software were compared to data from literature, obtained by the traditional gravimetric method for dry weight determination and also with data generated from the use of mathematical models (length dry-weight regressions) available. The results were expressed as species population densities, biomasses and size spectra, evidencing the applicability of the models here developed.
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Books on the topic "Automated Sampling"

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Bensema, W. D. Handbook for operation and maintenance of an NBS multisensor automated EM field measurement system. U.S. Dept. of Commerce, National Bureau of Standards, 1986.

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Chamberlain, R. The specification of an automated sampling system for the continuous testing of gas meters. UMIST, 1994.

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Thrush, Cindy. Automatic stormwater sampling made easy. Water Environment Federation, 1993.

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Patterson, A. D. A practical comparison of spot and automatic sampling of water quality. UMIST, 1998.

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Geological Survey (U.S.), ed. Comparison of water-quality samples collected by siphon samplers and automatic samplers in Wisconsin. U.S. Dept. of the Interior, U.S. Geological Survey, 2000.

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Geological Survey (U.S.), ed. Comparison of water-quality samples collected by siphon samplers and automatic samplers in Wisconsin. U.S. Dept. of the Interior, U.S. Geological Survey, 2000.

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Spectral analysis for automated exploration and sample acquisition. National Aeronautics and Space Administration, Jet Propulsion Laboratory, California Institute of Technology, 1992.

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Spectral analysis for automated exploration and sample acquisition. National Aeronautics and Space Administration, Jet Propulsion Laboratory, California Institute of Technology, 1992.

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Kraberg, Alexandra, Katja Metfies, and Rowena Stern. Sampling, Preservation and Counting of Samples I: Phytoplankton. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780199233267.003.0009.

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This chapter reviews phytoplankton sampling and analysis techniques, discussing them in light of their advantages and disadvantages. Different sampling methods have varying levels of precision and accuracy. This means that they affect the ways in which individual data sets can be interpreted, and methods therefore have to be kept consistent within time series to avoid creating artefacts. The discussions cover qualitative and semi-quantitative methods, quantitative methods, sample analysis, automated/semi-automated systems, and molecular methodologies. None of the methods are universally applicable but depend on the right set of tools and the scientific and financial context in which they are used. Molecular techniques hold great promise particularly for taxa that cannot be identified by routine microscopical techniques.
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An analysis of the work activities of high school library media specialists in automated and nonautomated library media centers using work sampling. University Microfilms International, 1991.

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Book chapters on the topic "Automated Sampling"

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Otles, Semih, and Canan Kartal. "Automated Sampling Procedures." In Advances in Food Diagnostics. John Wiley & Sons, Ltd, 2017. http://dx.doi.org/10.1002/9781119105916.ch17.

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Lancho, Carmen, Marcilio C. P. de Souto, Ana C. Lorena, and Isaac Martín de Diego. "Complexity-Driven Sampling for Bagging." In Intelligent Data Engineering and Automated Learning – IDEAL 2023. Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-48232-8_2.

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Heinrich, Steffen. "Sampling-based planning in phase space." In Planning Universal On-Road Driving Strategies for Automated Vehicles. Springer Fachmedien Wiesbaden, 2018. http://dx.doi.org/10.1007/978-3-658-21954-3_5.

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Wang, Zhaoyang, and Shuo Wang. "Online Automated Imbalanced Learning via Adaptive Thompson Sampling." In Lecture Notes in Computer Science. Springer Nature Switzerland, 2024. https://doi.org/10.1007/978-3-031-78383-8_11.

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Li, Yong, Andrea Turrini, Xuechao Sun, and Lijun Zhang. "Proving Non-inclusion of Büchi Automata Based on Monte Carlo Sampling." In Automated Technology for Verification and Analysis. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-59152-6_26.

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Rasouli, Peyman, and Ingrid Chieh Yu. "Meaningful Data Sampling for a Faithful Local Explanation Method." In Intelligent Data Engineering and Automated Learning – IDEAL 2019. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-33607-3_4.

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Niculescu, Manole-Stefan. "Three Way Automated Blood-Sampling Device Mixer for Blood Gas Analysis." In 6th International Conference on Advancements of Medicine and Health Care through Technology; 17–20 October 2018, Cluj-Napoca, Romania. Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-13-6207-1_9.

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Bartocci, Ezio. "Quantifying Uncertainty in Probabilistic Loops Without Sampling: A Fully Automated Approach." In Lecture Notes in Computer Science. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-72621-7_1.

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Mishra, Sanket, T. Anithakumari, and Ojasva Jain. "Automated Detection of Water Quality in Smart Cities Using Various Sampling Techniques." In Sustainable Farming through Machine Learning. CRC Press, 2024. http://dx.doi.org/10.1201/9781003484608-18.

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Leutgeb, Lorenz, Georg Moser, and Florian Zuleger. "Automated Expected Amortised Cost Analysis of Probabilistic Data Structures." In Computer Aided Verification. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-13188-2_4.

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AbstractIn this paper, we present the first fully-automated expected amortised cost analysis of self-adjusting data structures, that is, of randomised splay trees, randomised splay heaps and randomised meldable heaps, which so far have only (semi-)manually been analysed in the literature. Our analysis is stated as a type-and-effect system for a first-order functional programming language with support for sampling over discrete distributions, non-deterministic choice and a ticking operator. The latter allows for the specification of fine-grained cost models. We state two soundness theorems based on two different—but strongly related—typing rules of ticking, which account differently for the cost of non-terminating computations. Finally we provide a prototype implementation able to fully automatically analyse the aforementioned case studies."Image missing"
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Conference papers on the topic "Automated Sampling"

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Groose, J. E., B. W. Weiss, R. D. Muelenkamp, and D. M. Lempke. "Trends in Water Sampling Technology for Evaluating Corrosion in Steam Generating Systems." In CORROSION 1993. NACE International, 1993. https://doi.org/10.5006/c1993-93043.

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Abstract Sample flow, temperature, and pressure are easily controlled under constant conditions. Since typical electric power demands are not constant, many plants cycle the operating pressure to match the power demand. This dramatic change in source pressure requires attention to ensure flows and heat loads to the coolers and, eventually to analyzers, are not excessive. A new automatic sampling system continuously controls individual sample flow rates by measuring the flow rate and adjusting the motorized pressure control device to maintain constant flow without manual operator adjustment. This automatic sampling system also senses scaling and plugging of the sampling line and pressure control valve and adjusts the valve to maintain constant flow. By maintaining a constant flow rate, the automated system permits unattended representative sampling. Automatic blowdown or startup can be performed by the automatic sampling system for boiler startup conditions. Results from field trails are presented. The basic operation, system process, and instrument diagrams are shown. The features and benefits of an automatic sample conditioning system for cycling and base load plants are discussed.
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Whulanza, Yudan, Andriko Indriantomo, Cosmas Nurdiyantoko, and Ridho Irwansyah. "Characterisation of Microfluidic Systems for Automated Extraction Device of DNA Sampling." In Seminar Nasional Tahunan Teknik Mesin XXII 2024. Badan Kerja Sama Teknik Mesin Indonesia, 2025. https://doi.org/10.71452/590886.

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Ye, Yichun, He Zhang, Ye Tian, Jian Sun, and Karl Meinke. "Flow to Rare Events: An Application of Normalizing Flow in Temporal Importance Sampling for Automated Vehicle Validation*." In 2024 IEEE International Automated Vehicle Validation Conference (IAVVC). IEEE, 2024. https://doi.org/10.1109/iavvc63304.2024.10786477.

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Song, Yanan, Yurong Wang, Weiyi Cai, Jiayue Shao, Yunfei Xie, and Jiayi Li. "Automated Sampling and Detection System for High Precision Functional Enzyme Component Analysis." In 2025 International Conference on Electrical Drives, Power Electronics & Engineering (EDPEE). IEEE, 2025. https://doi.org/10.1109/edpee65754.2025.00089.

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Selcuk, Sahan Yoruc, Xilin Yang, Bijie Bai, et al. "Deep Learning-Enabled Classification of HER2 Score in Breast Cancer Using Pyramid Sampling." In CLEO: Applications and Technology. Optica Publishing Group, 2024. http://dx.doi.org/10.1364/cleo_at.2024.ath1b.7.

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We present an automated, deep learning-based method for HER2 score classification in breast cancer, achieving 85.47% accuracy on tissue microarrays from 300 patients. This method can significantly improve the HER2 evaluation process, saving diagnostician time.
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Luy, Edward, Nathan Geraldi, Nathan Horwood, et al. "Automated Environmental DNA (eDNA) Sampling Using an Optimized Filter Cassette for High Volume Filtration." In OCEANS 2024 - Halifax. IEEE, 2024. http://dx.doi.org/10.1109/oceans55160.2024.10754477.

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Zhou, Sen, Jian Xu, Jin Zhou, Shuang Mao, and Wei Zhang. "Automated sampling path planning model for complex surface of cylinder gear based on laser scanning techniques." In Conference on Spectral Technology and Applications (CSTA 2024), edited by Zhe Wang and Hongbin Ding. SPIE, 2024. https://doi.org/10.1117/12.3032826.

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Lyu, Wenyao, and Federico Galvanin. "Automated Identification of Kinetic Models for Nucleophilic Aromatic Substitution Reaction via DoE-SINDy." In The 35th European Symposium on Computer Aided Process Engineering. PSE Press, 2025. https://doi.org/10.69997/sct.107548.

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Nucleophilic aromatic substitutions (SNAr) are key chemical transformations in pharmaceutical and agrochemical synthesis, yet their complex mechanisms (concerted or two-step) complicate kinetic model identification. Accurate kinetic models for SNAr are essential for scale-up, optimization, and control of the reaction process, but conventional methods struggle with mechanism uncertainty driven by substrates, nucleophiles, and reaction conditions, with data collection being difficult due to its source-intensive nature. We address this using DoE-SINDy, a data-driven framework for generative modelling without complete theoretical understanding. A benchmark study on the SNAr reaction of 2,4-difluoronitrobenzene with morpholine in ethanol was conducted, incorporating parallel and consecutive side-product formation. Ground-truth kinetic models validated in prior studies were used to generate in-silico data under varying noise levels and sampling intervals. DoE-SINDy successfully identified the true kinetic model with minimal runs, quantifying the impact of key design factors such as inlet concentrations, residence time, sample size and experimental budget on model identification.
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Yamaguchi, Kenji, Takeshi Gonda, and Satoshi Sakamoto. "In-Line Concentration Monitoring of Water-Soluble Cutting Fluids Using an Automatic Brix Meter." In 2024 International Conference on Machining, Materials and Mechanical Technologies. Trans Tech Publications Ltd, 2025. https://doi.org/10.4028/p-o8awms.

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Water-soluble cutting fluids are routinely used as coolants and lubricants in the metalworking process. The properties of these water-soluble cutting fluids change during operation. In the management of the properties of water-soluble cutting fluids, it is crucial to maintain the concentration within an appropriate range. In typical manufacturing facilities, the concentration of water-soluble cutting fluids is measured using Brix. The commonly used Brix meters are of the sampling type. However, measuring the concentration of cutting fluids in numerous machine tools can be time-consuming. In addition, there has been a recent demand for automated measurement and management of concentration and data accumulation. In recent years, relatively inexpensive automatic Brix meters have become available in Japan. In this study, we tried to continuously measure the concentration of water-soluble cutting fluids using an automatic Brix meter. We installed an automatic Brix meter in a tank that continuously circulates 40L of water-soluble cutting fluid and measured it for several tens of days, confirming that it can measure stably. However, depending on the type of water-soluble cutting fluid, the measurement results may become unstable immediately after starting the measurement. Therefore, it was found that the choice of the water-soluble cutting fluid to be used is also important for the concentration measurement by the automatic Brix meter.
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Huang, Po-Hsun, David Shan-Hill Wong, Yen-Ming Chen, Chih-Yu Chen, Meng-Hsin Chen, and Yuan Yao. "Surrogate Modeling of Twin-Screw Extruders Using a Recurrent Deep Embedding Network." In The 35th European Symposium on Computer Aided Process Engineering. PSE Press, 2025. https://doi.org/10.69997/sct.136850.

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Optimizing twin-screw extruder (TSE) performance is critical in the plastics industry but is often resource-intensive. This study introduces a novel surrogate modeling approach using a Recurrent Deep Embedding Network (RDEN) that integrates deep autoencoders with recurrent neural networks to capture sequential dependencies and physical relationships in TSE processes. Leveraging Progressive Latin Hypercube Sampling (PLHS), the RDEN achieves robust predictions of key process variable, like mean residence time. Results demonstrate the model�s accuracy, generalization capabilities, and potential for automated screw design optimization.
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Reports on the topic "Automated Sampling"

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Boyer, Brian D., N. Anheier, P. Cable-Dunlop, and L. Sexton. Incorporation of New, Automated Environmental Sampling Systems into Safeguards Approaches. Office of Scientific and Technical Information (OSTI), 2013. http://dx.doi.org/10.2172/1098314.

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China, Swarup, Fan Mei, Darielle Dexheimer, et al. Size and Time-Resolved Automated Aerosol Sampling Field Campaign Report. Office of Scientific and Technical Information (OSTI), 2021. http://dx.doi.org/10.2172/1828151.

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Whitaker, M. J. Development and Evaluation of a Pilot Prototype Automated Online Sampling System. Office of Scientific and Technical Information (OSTI), 2000. http://dx.doi.org/10.2172/759142.

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McLean, Christopher T. Estimates of Radionuclide Loading to Cochiti Lake from Los Alamos Canyon Using Manual and Automated Sampling. Office of Scientific and Technical Information (OSTI), 2000. http://dx.doi.org/10.2172/766938.

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Maloney, Megan, Sarah Becker, Andrew Griffin, Susan Lyon, and Kristofer Lasko. Automated built-up infrastructure land cover extraction using index ensembles with machine learning, automated training data, and red band texture layers. Engineer Research and Development Center (U.S.), 2024. http://dx.doi.org/10.21079/11681/49370.

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Automated built-up infrastructure classification is a global need for planning. However, individual indices have weaknesses, including spectral confusion with bare ground, and computational requirements for deep learning are intensive. We present a computationally lightweight method to classify built-up infrastructure. We use an ensemble of spectral indices and a novel red-band texture layer with global thresholds determined from 12 diverse sites (two seasonally varied images per site). Multiple spectral indexes were evaluated using Sentinel-2 imagery. Our texture metric uses the red band to separate built-up infrastructure from spectrally similar bare ground. Our evaluation produced global thresholds by evaluating ground truth points against a range of site-specific optimal index thresholds across the 24 images. These were used to classify an ensemble, and then spectral indexes, texture, and stratified random sampling guided training data selection. The training data fit a random forest classifier to create final binary maps. Validation found an average overall accuracy of 79.95% (±4%) and an F1 score of 0.5304 (±0.07). The inclusion of the texture metric improved overall accuracy by 14–21%. A comparison to site-specific thresholds and a deep learning-derived layer is provided. This automated built-up infrastructure mapping framework requires only public imagery to support time-sensitive land management workflows.
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Mbani, Benson, Timm Schoening, and Jens Greinert. Automated and Integrated Seafloor Classification Workflow (AI-SCW). GEOMAR, 2023. http://dx.doi.org/10.3289/sw_2_2023.

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The Automated and Integrated Seafloor Classification Workflow (AI-SCW) is a semi-automated underwater image processing pipeline that has been customized for use in classifying the seafloor into semantic habitat categories. The current implementation has been tested against a sequence of underwater images collected by the Ocean Floor Observation System (OFOS), in the Clarion-Clipperton Zone of the Pacific Ocean. Despite this, the workflow could also be applied to images acquired by other platforms such as an Autonomous Underwater Vehicle (AUV), or Remotely Operated Vehicle (ROV). The modules in AI-SCW have been implemented using the python programming language, specifically using libraries such as scikit-image for image processing, scikit-learn for machine learning and dimensionality reduction, keras for computer vision with deep learning, and matplotlib for generating visualizations. Therefore, AI-SCW modularized implementation allows users to accomplish a variety of underwater computer vision tasks, which include: detecting laser points from the underwater images for use in scale determination; performing contrast enhancement and color normalization to improve the visual quality of the images; semi-automated generation of annotations to be used downstream during supervised classification; training a convolutional neural network (Inception v3) using the generated annotations to semantically classify each image into one of pre-defined seafloor habitat categories; evaluating sampling strategies for generation of balanced training images to be used for fitting an unsupervised k-means classifier; and visualization of classification results in both feature space view and in map view geospatial co-ordinates. Thus, the workflow is useful for a quick but objective generation of image-based seafloor habitat maps to support monitoring of remote benthic ecosystems.
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Barajas and George. PR-015-05600-R01 Assessment of Sampling Systems for Monitoring Water Vapor in Natural Gas Streams. Pipeline Research Council International, Inc. (PRCI), 2008. http://dx.doi.org/10.55274/r0011197.

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Research has been conducted to assess the usefulness of various sampling and delivery methods in transporting a representative sample of a natural gas stream for analysis of moisture content. Three sampling configurations commonly used by the natural gas industry were evaluated, including a sample system with a regulated probe heated above ambient conditions, the same system held at a constant temperature simulating ambient conditions, and a heated sample system incorporating a membrane filter. Each configuration was used to transport samples of distribution-quality natural gas with levels of water vapor within common tariff limits, as well as samples of a water-saturated stream of methane simulating a common dehydration system upset. The time response of samples in each configuration to step changes in water vapor content between these two conditions was also evaluated. Measurements were performed using both manual chilled mirror dew point testers and automated analyzers.
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Casper, Gary, Stfani Madau, and Thomas Parr. Acoustic amphibian monitoring, 2019 data summary: Mississippi National River and Recreation Area. National Park Service, 2022. http://dx.doi.org/10.36967/2295507.

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Amphibians are a Vital Sign indicator for monitoring long-term ecosystem health in seven national park units that comprise the Great Lakes Network. We present here the results for 2019 amphibian monitoring at Mississippi National River and Recreation Area (MISS). Appendices contain tabular summaries for six years of cumulative results. The National Park Service Great Lakes Inventory and Monitoring Network established 10 permanent acoustic amphibian monitoring sites at MISS in 2015. Acoustic samples are collected by placing automated recorders with omnidirectional stereo microphones at each of the 10 sampling sites. Temperature loggers co-located with the recorders also collect air temperature during the sampling period. Eight of the nine species of frog and toad known to occur at MISS were found in 2019. The most well distributed species were Eastern American Toad, Gray Treefrog, Green Frog, and Northern Leopard Frog. Rarer are Blanchard’s Cricket Frog, Cope’s Gray Treefrog, Wood Frog, and Boreal Chorus Frog. American Bullfrog has not yet been detected on GLKN monitored sites but has been recently confirmed nearby (Pigs Eye Lake). Two of the ten sites—MISS02, MISS04—were not sampled in 2019 due to flooding, and occupancy of early calling species at MISS06 was determined inconclusive due to a late sampling start. MISS07 was also deployed late and results may contain some false absences due to late sampling. We expanded analyses and reporting in 2018 to address calling phenology and to provide a second metric for tracking changes in abundance (as opposed to occupancy) across years. Occupancy analyses track whether or not a site was occupied by a species. Abundance is tracked by assessing how the maximum call intensity changes on sites across years, and by how many automated detections are reported from sites across years. Using two independent survey methods, manual and automated, with large sample sizes continues to return reliable results, providing a confident record of site occupancy for most species. There were some data collection issues in 2019, with two ARS units not deployed and two others with late start dates. This did reduce our ability to assess some sites and species. Summaries of 2019 data are shown in Appendices A, B and C, and cumulative data collection result summaries are provided in Appendix E. Since temperature logs show that the threshold of ≥40°F was already exceeded by 1 April in 2019, we recommend a 15 March start date for future data collection.
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Casper, Gary, Stefanie Nadeau, and Thomas Parr. Acoustic amphibian monitoring, 2019 data summary: Isle Royale National Park. National Park Service, 2022. http://dx.doi.org/10.36967/2295506.

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Amphibians are a Vital Sign indicator for monitoring long-term ecosystem health in seven national park units that comprise the Great Lakes Network. We present here the results for 2019 amphibian monitoring at Isle Royale National Park (ISRO). Appendices contain tabular summaries for six years of cumulative results. The National Park Service Great Lakes Inventory and Monitoring Network established 10 permanent acoustic amphibian monitoring sites at ISRO in 2015. Acoustic samples are collected by placing automated recorders with omnidirectional stereo microphones at each of the 10 sampling sites. Temperature loggers co-located with the recorders also collect air temperature during the sampling period. The monitoring program detected all seven species of frog and toad known to occur at ISRO in 2019, with Eastern American Toad, Green Frog and Spring Peeper occurring at almost every site sampled, and Wood Frog at six sites. Gray Treefrog, Mink Frog, and Boreal Chorus Frog were found at only one or two sites each. Northern Leopard Frog has yet to be confirmed at ISRO in this GLKN monitoring program. We expanded analyses and reporting in 2018 to address calling phenology and to provide a second metric for tracking changes in abundance (as opposed to occupancy) across years. Occupancy analyses track whether or not a site was occupied by a species. Abundance is tracked by assessing how the maximum call intensity changes on sites across years, and by how many automated detections are reported from sites across years. Using two independent survey methods, manual and automated, with large sample sizes continues to return reliable results, providing a confident record of site occupancy for most species. There were no significant data collection issues in 2019. Three units stopped collecting data early but these data gaps did not compromise sampling rigor or analysis. Since temperature logs show that the threshold of ≥40°F was often exceeded by 1 April in 2019, making 15 March a start date for data collection may be considered if park personnel feel snow and ice cover would be reduced enough by that date as well. We do recommend making sure that temperature logger solar shields in future are not hanging in such a manner as to be banging against anything in a breeze, as this contaminates the soundscape
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Casper, Gary, Stefanie Nadeau, and Thomas Parr. Acoustic amphibian monitoring, 2019 data summary: Sleeping Bear Dunes National Lakeshore. National Park Service, 2022. http://dx.doi.org/10.36967/2295512.

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Amphibians are a Vital Sign indicator for monitoring long-term ecosystem health in seven national park units that comprise the Great Lakes Network. We present here the results for 2019 amphibian monitoring at Sleeping Bear Dunes National Lakeshore (SLBE). Appendices contain tabular summaries for six years of cumulative results. The National Park Service Great Lakes Inventory and Monitoring Network established 10 permanent acoustic amphibian monitoring sites at SLBE in 2013. Acoustic samples are collected by placing automated recorders with omnidirectional stereo microphones at each of the 10 sampling sites. Temperature loggers co-located with the recorders also collect air temperature during the sampling period. We expanded analyses and reporting in 2018 to address calling phenology and to provide a second metric for tracking changes in abundance across years. Occupancy analyses track whether or not a site was occupied by a species. Abundance is tracked by assessing how the maximum call intensity changes on sites across years, and by how many automated detections are reported from sites across years. Using two independent survey methods, manual and automated, with large sample sizes continues to return reliable results, providing a confident record of site occupancy for most species. The monitoring program detected five of the six species of frog and toad known to occur at SLBE in 2019, with Eastern American Toad, Gray Treefrog, Green Frog and Spring Peeper occurring at almost every site sampled. Wood Frog was found at one new site, and Northern Leopard Frog was not confirmed in 2019 but was detected at five sites in 2018. There were no significant data collection issues in 2019 except for late deployment of SLBE11, which limited data analyses for this site. Remaining sites successfully collected data as programmed. Cumulative data collection result summaries since inception are provided in appendices. Since temperature logs show that the threshold of ≥40°F was often exceeded by 1 April in 2019, making 15 March a start date for data collection may be considered if park personnel feel snow and ice cover would be reduced enough by that date as well.
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