Relevant bibliographies by topics / Real operating conditions (ROC)

Contents

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

Academic literature on the topic 'Real operating conditions (ROC)'

Author: Grafiati
Published: 5 June 2025
Last updated: 1 August 2025

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Journal articles on the topic "Real operating conditions (ROC)"

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Onumanyi, A. J., E. N. Onwuka, A. M. Aibinu, O. C. Ugweje, and M. J. E. Salami. "A Real Valued Neural Network Based Autoregressive Energy Detector for Cognitive Radio Application." International Scholarly Research Notices 2014 (October 29, 2014): 1–11. http://dx.doi.org/10.1155/2014/579125.

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A real valued neural network (RVNN) based energy detector (ED) is proposed and analyzed for cognitive radio (CR) application. This was developed using a known two-layered RVNN model to estimate the model coefficients of an autoregressive (AR) system. By using appropriate modules and a well-designed detector, the power spectral density (PSD) of the AR system transfer function was estimated and subsequent receiver operating characteristic (ROC) curves of the detector generated and analyzed. A high detection performance with low false alarm rate was observed for varying signal to noise ratio (SNR
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Ghanbarirad, Maryam, Mehrdad Hashemi, Seyed Mehdi Saberi, and Ahmad Majd. "Nrf2 Dysregulation in Major Depressive and Bipolar Disorders." Galen Medical Journal 10 (December 31, 2021): e2074. http://dx.doi.org/10.31661/gmj.v10i0.2074.

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Background: Major depressive disorder (MDD) and bipolar disorder (BPD) are two of the most important mental disorders that greatly impact different aspects of life. These conditions imply heavy health and economic burden and are heterogeneous in nature. Inflammation is reported as the etiology of mental disorders. Nrf2 transcription factor plays a key role in the defense mechanisms against inflammation and oxidative stress. So, this study aimed to evaluate the expression level of Nrf2 in MDD and BPD patients and compared it with healthy control subjects. Materials and Methods: In this study, r
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Grant, Drew, Ian McLane, Valerie Rennoll, and James West. "Considerations and Challenges for Real-World Deployment of an Acoustic-Based COVID-19 Screening System." Sensors 22, no. 23 (2022): 9530. http://dx.doi.org/10.3390/s22239530.

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Coronavirus disease 2019 (COVID-19) has led to countless deaths and widespread global disruptions. Acoustic-based artificial intelligence (AI) tools could provide a simple, scalable, and prompt method to screen for COVID-19 using easily acquirable physiological sounds. These systems have been demonstrated previously and have shown promise but lack robust analysis of their deployment in real-world settings when faced with diverse recording equipment, noise environments, and test subjects. The primary aim of this work is to begin to understand the impacts of these real-world deployment challenge
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Greuell, Wouter, Wietse H. P. Franssen, Hester Biemans, and Ronald W. A. Hutjes. "Seasonal streamflow forecasts for Europe – Part I: Hindcast verification with pseudo- and real observations." Hydrology and Earth System Sciences 22, no. 6 (2018): 3453–72. http://dx.doi.org/10.5194/hess-22-3453-2018.

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Abstract. Seasonal predictions of river flow can be exploited among others to optimise hydropower energy generation, navigability of rivers and irrigation management to decrease crop yield losses. This paper is the first of two papers dealing with a physical model-based system built to produce probabilistic seasonal hydrological forecasts, applied here to Europe. This paper presents the development of the system and the evaluation of its skill. The variable infiltration capacity (VIC) hydrological model is forced with bias-corrected output of ECMWF's seasonal forecast system 4. For the assessm
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Yates, North, Fernando Ponta, and Alayna Farrell. "Towards Universal Non-Dimensional Characterization of the Oscillatory Dynamics of Wind Turbine Rotors of Multiple Sizes." Dynamics 5, no. 2 (2025): 12. https://doi.org/10.3390/dynamics5020012.

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One concern in the field of Horizontal Axis Wind Turbines (HAWTs) is what control strategies are needed to handle gust pulses in the wind to prevent extreme oscillations of the blades to reduce fatigue stress, prevent blade rupture, and extend the turbine’s operational life. In order to design innovative control strategies to modify the blade’s oscillatory response, it is crucial to establish the fundamental vibrational behavior of the blades when excited by gust pulses of different frequencies and amplitudes present in the fluctuating wind inflow. In a series of previous works, the authors pr
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Ashutosh, Yadav, and Archana. "Reinforcement Learning with Variable Fractional Order Approach for MPPT Control of PV Systems for the Real Operating Climatic Condition." International Journal of Recent Technology and Engineering (IJRTE) 10, no. 1 (2021): 44–53. https://doi.org/10.35940/ijrte.A5631.0510121.

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The designing of maximum power point tracking (MPPT) controller is an integral part of the PV array system to ensure a continuous supply of energy in dynamic environmental conditions. The most challenging part here is to design a model that can track the maximum point irrespective of variations in environmental conditions and its parametric variations. The model designed in this article combats both the challenges as it is based on reinforcement learning with fractional-order. The application of Deep Q-learning makes the model parametric free and once the model trained can be implanted in a di
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Shamala N., Srinivas S. ,. "Classification of Solar Cell Cracks Using Deep Learning." Journal of Electrical Systems 20, no. 4s (2024): 105–10. http://dx.doi.org/10.52783/jes.1859.

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This study evaluates the efficacy of a Deep Learning model in classifying solar cell images with and without cracks, crucial for early detection and maintenance of photovoltaic systems. The model demonstrates high overall accuracy (94%) and sensitivity (91%), indicating its proficiency in recognizing images with cracks while minimizing false positives. Receiver Operating Characteristic (ROC) analysis supports the model's robust discrimination between positive and negative cases, with an Area Under the Curve (AUC) of 0.93. Despite promising results, opportunities for improvement include dataset
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Liu, Chang, Jacob Dobson, and Peter Cawley. "Efficient generation of receiver operating characteristics for the evaluation of damage detection in practical structural health monitoring applications." Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences 473, no. 2199 (2017): 20160736. http://dx.doi.org/10.1098/rspa.2016.0736.

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Permanently installed guided wave monitoring systems are attractive for monitoring large structures. By frequently interrogating the test structure over a long period of time, such systems have the potential to detect defects much earlier than with conventional one-off inspection, and reduce the time and labour cost involved. However, for the systems to be accepted under real operational conditions, their damage detection performance needs to be evaluated in these practical settings. The receiver operating characteristic (ROC) is an established performance metric for one-off inspections, but t
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PIELECHA, Ireneusz, Wojciech CIEŚLIK, and Kinga FLUDER. "Analysis of energy management strategies for hybrid electric vehicles in urban driving conditions." Combustion Engines 173, no. 2 (2018): 14–18. http://dx.doi.org/10.19206/ce-2018-203.

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The pursuit of fuel consumption reduction by vehicles leads to a sudden increase in the share of hybrid and electric drives in the vehicle market. Replacing hybrid vehicles with electric vehicles requires long-term technological solutions, both for the infrastructure and the vehicles themselves. Therefore, one of the leading types of passenger car drives is currently the hybrid drive. The generated work share of electric drives used to power hybrid vehicles is a determinant of the viability of using electric drives. The article estimates the operating time share of electric and hybrid modes op
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Turechek, W. W., J. S. Hartung, and J. McCallister. "Development and Optimization of a Real-Time Detection Assay for Xanthomonas fragariae in Strawberry Crown Tissue with Receiver Operating Characteristic Curve Analysis." Phytopathology® 98, no. 3 (2008): 359–68. http://dx.doi.org/10.1094/phyto-98-3-0359.

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Angular leaf spot of strawberry is caused by the bacterium Xanthomonas fragariae. The disease is transmitted primarily through systemically infected nursery stock. This creates problems for nurseries wishing to export plants to Europe because of quarantine restrictions. Currently, field inspections for symptoms are used to certify plants free of X. fragariae, but visual inspection is not useful for detecting plants infected systemically. To detect systemic infections, polymerase chain reaction (PCR) is the desired tool because of its sensitivity, specificity, and ease of use. In this study, we
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Dissertations / Theses on the topic "Real operating conditions (ROC)"

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Raabe, Armin, Robert Wagner, and Janek Zimmer. "Power curves of whole wind farms under real operating conditions." Universität Leipzig, 2015. https://ul.qucosa.de/id/qucosa%3A16695.

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The time-variable production of wind energy must be included into the time-variable energy consumption schemes. This interactive process depends on a precise prediction of weather conditions, particularly of the wind speed (u), and knowledge of the behavior of the consumers. Parallel to the wind speed prediction the wind energy production depends on the technical parameter of the wind turbines, e.g. characterized by a power curve . As we show here, the power curve of a wind farm, consisting of a number of wind turbines, and an individual power curve of a single wind turbine are different. To s
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Di, Vincenzo Maria Carla. "Improving the efficiency of grid connected PV system for real operating conditions." Thesis, University of Strathclyde, 2012. http://oleg.lib.strath.ac.uk:80/R/?func=dbin-jump-full&object_id=17983.

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Xu, Su. "Techniques for Real-Time Tire Health Assessment and Prognostics under Dynamic Operating Conditions." University of Cincinnati / OhioLINK, 2011. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1318607916.

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Euxibie, Gaillandre Edwige. "Conceptualisation de la conduite du système production-transport-consommation." Grenoble INPG, 1993. http://www.theses.fr/1993INPG0165.

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La conduite du Système-production-Transport-consommation est basée aujourd'hui sur une approche événementielle, avec affichage des informations dès qu'elles arrivent, sans tri préalable. L'opérateur effectue lui-même la synthèse de l'ensemble, et ne dispose pas d'outil prévisionnel à court ou moyen terme. Nous proposons dans le cadre de cette thèse une analyse de la conduite de l'opérateur, pour définir à partir de l'étude de phénomènes physiques bien identifiés, le diagnostic de l'état du Système associé à une proposition d'actions correctrices validées au préalable. Pour valider la détection
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Kandidayeni, Mohsen. "Intégration de diverses conditions de fonctionnement dans l'identification en temps réel et la gestion énergétique d'un véhicule à pile à combustible = Integrating various operating conditions into real-time identification and energy management of a fuel cell vehicle." Thèse, 2020. http://depot-e.uqtr.ca/id/eprint/9314/1/eprint9314.pdf.

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Books on the topic "Real operating conditions (ROC)"

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Sobczyk, Eugeniusz Jacek. Uciążliwość eksploatacji złóż węgla kamiennego wynikająca z warunków geologicznych i górniczych. Instytut Gospodarki Surowcami Mineralnymi i Energią PAN, 2022. http://dx.doi.org/10.33223/onermin/0222.

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Hard coal mining is characterised by features that pose numerous challenges to its current operations and cause strategic and operational problems in planning its development. The most important of these include the high capital intensity of mining investment projects and the dynamically changing environment in which the sector operates, while the long-term role of the sector is dependent on factors originating at both national and international level. At the same time, the conditions for coal mining are deteriorating, the resources more readily available in active mines are being exhausted, m
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On-Line Monitoring of Cooling Waters. AMPP, 2002. https://doi.org/10.5006/nace_rp0189-2002.

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Scope This NACE standard describes a variety of devices used for on-line monitoring of fouling, corrosion, and other parameters in recirculating cooling tower water systems. Methods are presented for collecting test data to determine fouling and corrosion rates that can be used for, but are not limited to, (1) predicting the expected service life of heat-exchange equipment, (2) optimizing the cooling system operation, (3) detecting operating problems and upset conditions, (4) monitoring corrective actions taken when such conditions occur, (5) assisting in problem solving, and (6) evaluating al
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Yip, Ka Lok. The Use of Force against Individuals in War under International Law. Oxford University Press, 2022. http://dx.doi.org/10.1093/oso/9780198871699.001.0001.

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Is it legal to kill, or capture and confine, someone in war? Is this relevant or wise to ask in the reality of war? What does ‘legal’ actually mean in the labyrinth of overlapping international laws? This book explores the meaning, relevance, and wisdom of questioning the ‘legality’ of the use of force against individuals in war by reconnecting legal thought with the social world. Weaving together law, social theories, and actual practices, the book presents an interdisciplinary study of the laws regulating warfare. The book uncovers different conceptions of ‘legality’ that generate tensions a
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Winchip, Susan M. Professional Practice for Interior Designers in the Global Marketplace. 2nd ed. Bloomsbury Publishing Plc, 2025. https://doi.org/10.5040/9798765104170.

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The interior designers of tomorrow require a professional practice text that is contemporary and innovative enough to prepare them for the rapidly evolving landscape of the 21st century workplace. Professional Practice for Interior Designers in the Global Marketplace, Second Edition arms students new to the industry with the know-how they’ll need to launch and evolve their careers. It emphasizes the essential skills and knowledge required to work in a firm as an entry-level designer, while providing an overview of what is involved in starting, owning, and operating an interior design business.
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Hilgurt, S. Ya, and O. A. Chemerys. Reconfigurable signature-based information security tools of computer systems. PH “Akademperiodyka”, 2022. http://dx.doi.org/10.15407/akademperiodyka.458.297.

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The book is devoted to the research and development of methods for combining computational structures for reconfigurable signature-based information protection tools for computer systems and networks in order to increase their efficiency. Network security tools based, among others, on such AI-based approaches as deep neural networking, despite the great progress shown in recent years, still suffer from nonzero recognition error probability. Even a low probability of such an error in a critical infrastructure can be disastrous. Therefore, signature-based recognition methods with their theoretic
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Book chapters on the topic "Real operating conditions (ROC)"

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Malik, Abdul Q. "Characterization of Photovoltaic (PV) Modules Under Real Operating Conditions." In Innovative Renewable Energy. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-76221-6_10.

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Germann, Thiemo, Daniel M. Martin, Christian Kubik, and Peter Groche. "Mastering Uncertain Operating Conditions in the Development of Complex Machine Elements by Validation Under Dynamic Superimposed Operating Conditions." In Lecture Notes in Mechanical Engineering. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-77256-7_19.

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AbstractMachine elements produced in large quantities undergo several development cycles and can be adapted from generation to generation. Thus, experiences from real operation can be taken into account in further development. This is not possible for innovative investment goods such as special purpose machines, as these are usually individual items. Therefore, functionality and quality of newly developed components must be assured by previous investigations.Conventional methods are inadequate at this point, as they cannot represent the actual, complex operating conditions in the later applica
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Capriglione, Domenico, Luigi Ferrigno, Alfonso Attianese, Antonio Pietrosanto, and Vincenzo Paciello. "Experimental Analysis of Wireless Sensor Network Synchronization Protocols Under Real Operating Conditions." In Lecture Notes in Electrical Engineering. Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4614-3860-1_94.

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Lucà, Francescantonio, Stefano Manzoni, and Alfredo Cigada. "Detecting Real Damage in Operating Tie-Rods Under Uncontrolled Environmental and Operational Conditions." In Lecture Notes in Civil Engineering. Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-39109-5_51.

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Díaz-Samaniego, J. P., Jaime Guillén, Daniel Arroyo, and Michael Maks Davis. "Performance Evaluation of an Electric Vehicle in Real Operating Conditions of Quito, Ecuador." In Proceedings of the 4th International Congress of Automotive and Transport Engineering (AMMA 2018). Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-94409-8_37.

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van Putten, Sebastiaan, Günther Prokop, S. Einsle, and A. Wagner. "Valid vehicle dynamics prediction by objective description of tyre behavior under real operating conditions." In Proceedings. Springer Fachmedien Wiesbaden, 2015. http://dx.doi.org/10.1007/978-3-658-08844-6_63.

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Dyudyakov, A., and S. Yanchenko. "A Robust Control Algorithm for the Hybrid Power Filter Operating Under Real Grid Conditions." In Lecture Notes in Electrical Engineering. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-51127-1_22.

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Tushar, Mohammad S. H. K., Animesh Dutta, and Chunbao Xu. "Effects of Reactor Wall Properties, Operating Conditions and Challenges for SCWG of Real Wet Biomass." In Biofuels and Biorefineries. Springer Netherlands, 2014. http://dx.doi.org/10.1007/978-94-017-8923-3_8.

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Necula, Ștefan-Alexandru, Marius-Valentin Bățăuș, and Gheorghe Frațilă. "Modelling and Simulation of an Urban Electric Bus for Energy Consumption in Real Operating Conditions." In Proceedings in Automotive Engineering. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-77627-4_5.

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Condemine, Cyril, Loic Grau, Yves Masson, and Sebastien Aubry. "Live Digital Twin for Hydraulic Structures Fatigue Estimation." In Lecture Notes in Civil Engineering. Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-19-6138-0_43.

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AbstractMaintaining hydraulic structures such as dams, penstocks, or water lock gates in operating conditions and optimizing their maintenance costs are key issues for energy production or river navigation. The ultimate objective is to know the real state of fatigue and damage of the structure and identify any related anomalies. In this paper, we introduce a digital twin, for fatigue evaluation merging measured data obtained with an embedded sensor network and a 3D numerical model that converts in real time measured data into fatigue. After 3 years of R&D collaboration between CNR and Morp
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Conference papers on the topic "Real operating conditions (ROC)"

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Garaliu-Busoi, Bogdan, Gabriel Vasilescu, Claudius Popescu, Claudia-Raluca Ilici, and Adina Pasculescu. "EVALUATION OF COMPUTER SIMULATION AND MODELING METHODS FOR BLASTING PROCESSES IN SURFACE MINES." In 24th SGEM International Multidisciplinary Scientific GeoConference 24. STEF92 Technology, 2024. https://doi.org/10.5593/sgem2024/1.1/s03.37.

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The evaluation of computer simulation and modeling methods of pull processes carried out in open pit mines is a broad and complex topic, which involves the analysis and comparison of different techniques and tools used to simulate and model pull processes in quarries and open pit mines. The importance of computer simulation and modeling of recovery processes plays a crucial role in optimizing resource extraction, reducing costs, minimizing environmental impact, and ensuring worker safety. These technologies make it possible to predict the effects of different blasting strategies and choose the
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Krivonogova, Daria E., Alexander I. Malkin, Victor A. Chechetkin, Alexey N. Korotkov, and Svetlana A. Astaf’eva. "Investigation of Permittivity in Real-world Operating Conditions. Low Temperatures." In 2025 IEEE Ural-Siberian Conference on Biomedical Engineering, Radioelectronics and Information Technology (USBEREIT). IEEE, 2025. https://doi.org/10.1109/usbereit65494.2025.11054141.

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Idrisov, Kamil M., Maria S. Shipaeva, Rustam A. Ziniukov, and Vladislav A. Sudakov. "DEVELOPMENT OF METHODOLOGY FOR OPTIMAL CYCLIC INJECTION TECHNIQUES BASED ON MATHEMATICAL MODELING." In 24th SGEM International Multidisciplinary Scientific GeoConference 24. STEF92 Technology, 2024. https://doi.org/10.5593/sgem2024/1.1/s06.72.

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The study aims to identify the optimal operating conditions of wells to increase oil recovery without incurring additional costs for Enhanced Oil Recovery (EOR). The study analyzes various scenarios based on different properties of geological formations and wells. This work was carried out using three-dimensional hydrodynamic modeling. These models represent a simplified hydrodynamic model of a real object, which was created for the purpose of analyzing the processes being studied, but does not claim to be a complete description of the geological structure. At the same time, when constructing
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Lazarov, Ivaylo, Plamen Tsankov, and Tsvetozar Petkov. "Analysis of the Daily Performance of CdTe and CIGS Photovoltaic Systems Under Real Operating Conditions." In 2025 19th Conference on Electrical Machines, Drives and Power Systems (ELMA). IEEE, 2025. https://doi.org/10.1109/elma65795.2025.11083396.

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Villaverde, Martí, Manel Gasulla, and Ferran Reverter. "Test of Low-Area PV Cells Under Real Indoor Operating Conditions for Extended Periods of Time." In 2024 IEEE Sensors Applications Symposium (SAS). IEEE, 2024. http://dx.doi.org/10.1109/sas60918.2024.10636605.

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Reddy, G. Pandu Ranga, Chennuri Venkata Siva, Allanki Vinaykumar, and Challa Sai Santhosh. "A Hybrid Neuro-Fuzzy Model for Real-Time SOH Estimation of EV Batteries under Dynamic Operating Conditions." In 2025 7th International Conference on Inventive Material Science and Applications (ICIMA). IEEE, 2025. https://doi.org/10.1109/icima64861.2025.11073894.

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Alva Alcántara, Josmell Henry, Elder Marino Mendoza Orbegoso, Jimmy Roger Silvera Otañe, Luis Alberto Julca Verástegui, Juan Carlos Bengoa Seminario, and Carlos Bitner Corcuera Araujo. "Instrumentation and Automation System of a Vacuum Tube Solar Water Heater Based on Industry 4.0 Under Real Operating Conditions." In 2024 IEEE Biennial Congress of Argentina (ARGENCON). IEEE, 2024. http://dx.doi.org/10.1109/argencon62399.2024.10735895.

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Chen, Changchang, Guodong Ji, Hongyuan Zhang, Yuqi Sun, Qiang Wu, and Zehao Lv. "LSTM Recurrent Neural Network Based Method for Identification of Drilling Operating Conditions and its Application." In 58th U.S. Rock Mechanics/Geomechanics Symposium. ARMA, 2024. http://dx.doi.org/10.56952/arma-2024-0666.

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ABSTRACT: Polycrystalline Diamond Compact (PDC) bit underground operating conditions identification is one of the difficulties during the drilling operation. It is of great significant for the drilling improvement and accurate construction formation to accurately identify the complex operating conditions during drilling the operation such as PDC bit wearing and stick-slip vibration, etc. In this paper, data of relationship between torque, rate of penetration (ROP) signal and weight on bit (WOB), rev were obtained through lab simulation experiment, after which, a relationship database of torque
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Mukhamedyarova, Z., F. Suorineni, Z. Maksut, R. Meiramov, and A. Yazici. "Real-Time Seismic Wave Velocity Prediction for Accurate Source Location in Underground Mines Based on Machine Learning." In 57th U.S. Rock Mechanics/Geomechanics Symposium. ARMA, 2023. http://dx.doi.org/10.56952/arma-2023-0482.

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ABSTRACT The objective of this study is to develop machine learning techniques to forecast seismic wave velocities in real-time amidst the constantly changing conditions of underground mining. As human-induced seismicity in underground mining can negatively impact productivity, safety, and operating costs, it is crucial to have an accurate predictor for the source of microseismic events. To simulate the dynamic conditions of underground mining, laboratory experiments using AE systems and concrete blocks mimicking homogeneous rocks were conducted. The concrete blocks were of various sizes with
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Al Kiyumi, Shifa Khaliah, and Muneer Al Balushi. "Real-Time Machine Learning for Advanced Beam-Pump Dynacard Surveillance and Predictive Analytics: Opportunities and Challenges." In SPE Conference at Oman Petroleum & Energy Show. SPE, 2025. https://doi.org/10.2118/224979-ms.

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Abstract Sucker rod pumping (SRP) is the major artificial lifting method used for extracting oil from subsurface wells, which are also known as beam pump wells. However, it often experiences failures due to harsh operating conditions. Maintenance issues in downhole beam- pump components can be diagnosed using dynamometer cards that plot displacement and load. However, manually collecting and analyzing these cards daily requires significant effort and time. This paper demonstrates the effectiveness of machine learning in predicting pump statuses, offering detailed probabilistic assessments for
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Reports on the topic "Real operating conditions (ROC)"

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Kanninen. PR-380-104500-R01 Minimum Permissible Bend Radii for Layered Composite Materials. Pipeline Research Council International, Inc. (PRCI), 2013. http://dx.doi.org/10.55274/r0010802.

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The research utilized a closely coordinated combination of full-scale bend/burst testing and highly detailed finite element analysis (FEA) modeling of representative HPIR constructions in a two-phase iterative approach. The fundamentally sound methodology that was developed and validated in the research has the potential for optimizing the design of HPIR systems in regard to safely negotiating tight bends while renewing energy transmission pipelines in a wide range of operating conditions. The combination of FEA modeling and the full-scale bend/burst testing utilized in this research has led t
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Jones, Byron. PR266-18201-R01 CEPM for Turbochargers. Pipeline Research Council International, Inc. (PRCI), 2023. http://dx.doi.org/10.55274/r0012250.

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Documents methods and data necessary to identify a decline in turbocharger performance based on real-time and near-real-time operating data. The techniques allow for the identification of performance issues well in advance of critical performance loss. This continuous equipment performance monitoring allows for a managed overhaul rather than an unplanned outage. The techniques were evaluated to determine their applicability to monitor performance of gas turbines with a focus on the axial compressor. The methods were verified against field data with induced abnormal operating conditions to vali
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Madrzykowski, Daniel. Firefighter Equipment Operational Environment: Evaluation of Thermal Conditions. UL Firefighter Safety Research Institute, 2017. http://dx.doi.org/10.54206/102376/igfm4492.

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The goal of this study was to review the available literature to develop a quantitative description of the thermal conditions firefighters and their equipment are exposed to in a structural fire environment. The thermal exposure from the modern fire environment was characterized through the review of fire research studies and fire-ground incidents that provided insight and data to develop a range of quantification. This information was compared with existing standards for firefighting protective equipment to generate a sense of the gap between known information and the need for improved unders
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Huntley, D., D. Rotheram-Clarke, R. Cocking, J. Joseph, and P. Bobrowsky. Current research on slow-moving landslides in the Thompson River valley, British Columbia (IMOU 5170 annual report). Natural Resources Canada/CMSS/Information Management, 2022. http://dx.doi.org/10.4095/331175.

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Interdepartmental Memorandum of Understanding (IMOU) 5170 between Natural Resources Canada (NRCAN), the Geological Survey of Canada (GSC) and Transport Canada Innovation Centre (TC-IC) aims to gain new insight into slow-moving landslides, and the influence of climate change, through testing conventional and emerging monitoring technologies. IMOU 5107 focuses on strategically important sections of the national railway network in the Thompson River valley, British Columbia (BC), and the Assiniboine River valley along the borders of Manitoba (MN) and Saskatchewan (SK). Results of this research ar
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Willson. L51709 Development-Test Electronic Gas Admission for Large Bore Engines. Pipeline Research Council International, Inc. (PRCI), 1994. http://dx.doi.org/10.55274/r0010114.

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The pipeline industry uses over 8,000 large bore engines in gas transmission/compression service". These engines are typically gas fueled and spark ignited. Some early versions of the engines are piston scavenged, but most are turbocharged. Some models, especially those equipped for lean burn operation, utilize pre-combustion chambers for enhanced ignition. Typically, the gaseous fuel is admitted directly into the top of the engine combustion chamber by a cam-operated, mechanical gas admission valve (MGAV). The MGAV is operated by an engine driven cam, cam follower, push rod, and rocker assemb
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Windsor, Callan, and Max Zang. Firms' Price-setting Behaviour: Insights from Earnings Calls. Reserve Bank of Australia, 2023. http://dx.doi.org/10.47688/rdp2023-06.

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We introduce new firm-level indices covering input costs, demand and final prices based on listed Australian firms' earnings calls going back to 2007. These indices are constructed using a powerful transformer-based large language model. We show the new indices track current economic conditions, consistent with a simple conceptual framework we use to explain why there is real-time information in firms' earnings calls. Focusing on firms' price-setting behaviour, the reduced-form associations we estimate appear to show that discussions around final prices have become more sensitive to import cos
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Hellwig, Runa T., Despoina Teli, Marcel Schweiker, et al. Guidelines for low energy building design based on the adaptive thermal comfort concept - Technical report: IEA EBC Annex 69: Strategy and Practice of Adaptive Thermal Comfort in Low Energy Buildings. Aalborg University, 2022. http://dx.doi.org/10.54337/aau510903564.

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The adaptive thermal comfort concept has been developed over many years and proven in numerous field studies (e.g. Webb 1964, Nicol and Humphreys 1973, Auliciems 1981b, de Dear et al. 1997, McCartney and Nicol 2002, Manu et al. 2016), showing that people are satisfied with a wide range of thermal conditions. Prerequisite is that people are provided with means to make themselves comfortable, that they know which opportunities they have, that it is socially acceptable to use these opportunities and that they are willing to use them (Hellwig, 2015). However, the overall understanding of how to de
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Tian, Chi, Yiheng Feng, Yunfeng Chen, and Jiansong Zhang. Impacts of Autonomous Truck-Mounted Attenuator (ATMA) on INDOT Work Zone Safety, Mobility, and Worker Productivity. Purdue University, 2025. https://doi.org/10.5703/1288284317754.

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Work zone safety has been a major concern for many stakeholders including the state Departments of Transportation (DOTs). To prevent DOT workers, especially truck mounted attenuator (TMA) drivers from injuries, the Autonomous Truck Mounted Attenuator (ATMA) technology is developed. To understand the current testing and deployment status of ATMA, we began with interviews with project managers and researchers in four state DOTs who have experience with the ATMA system. Then, we systematically reviewed, tested, and evaluated the ATMA system in both simulation and real-world environments under var
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Hughes, Jim, Robert Emmot, Nora Murdock, Patrick Flaherty, Evan Raskin, and Wendy Wright. Protocol narrative: Long-term continuous water-quality monitoring at Big South Fork National River and Recreation Area and Obed Wild and Scenic River. National Park Service, 2018. https://doi.org/10.36967/2255929.

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This protocol describes the background, rationale, and sampling design for monitoring water quality using continuous sampling at two Appalachian Highlands Inventory and Monitoring Network (APHN) parks: Big South Fork National River and Recreation Area (BISO), and Obed Wild and Scenic River (OBRI). The main goals of this document are: (1) to outline an overall strategy for time series water-quality monitoring that is credible and scientifically rigorous, and (2) to provide a specific set of instructions in the form of standard operating procedures (SOPs) that are sufficiently detailed to ensure
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