Relevant bibliographies by topics / ADAPTIVE METER

Academic literature on the topic 'ADAPTIVE METER'

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Published: 11 September 2023

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Journal articles on the topic "ADAPTIVE METER"

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Li, Xue Jun, and Peter Han Joo Chong. "Design and Implementation of a Self-Powered Smart Water Meter." Sensors 19, no. 19 (September 26, 2019): 4177. http://dx.doi.org/10.3390/s19194177.

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Smart cities require interactive management of water supply networks and water meters play an important role in such a task. As compared to fully mechanical water meters, electromechanical water meters or fully electronic water meters can collect real-time information through automatic meter reading (AMR), which makes them more suitable for smart cities applications. In this paper, we first study the design principles of existing water meters, and then present our design and implementation of a self-powered smart water meter. The proposed water meter is based on a water turbine generator, which serves for two purposes: (i) to sense the water flow through adaptive signal processing performed on the generated voltage; and (ii) to produce electricity to charge batteries for the smart meter to function properly. In particular, we present the design considerations and implementation details. The wireless transceiver is integrated in the proposed water meter so that it can provide real-time water flow information. In addition, a mobile phone application is designed to provide a user with a convenient tool for water usage monitoring.
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Liu, Deyuan, Changgen Deng, Haodong Zhang, Jinrong Li, and Baojun Shi. "Adaptive Reflection Detection and Control Strategy of Pointer Meters Based on YOLOv5s." Sensors 23, no. 5 (February 25, 2023): 2562. http://dx.doi.org/10.3390/s23052562.

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Reflective phenomena often occur in the detecting process of pointer meters by inspection robots in complex environments, which can cause the failure of pointer meter readings. In this paper, an improved k-means clustering method for adaptive detection of pointer meter reflective areas and a robot pose control strategy to remove reflective areas are proposed based on deep learning. It mainly includes three steps: (1) YOLOv5s (You Only Look Once v5-small) deep learning network is used for real-time detection of pointer meters. The detected reflective pointer meters are preprocessed by using a perspective transformation. Then, the detection results and deep learning algorithm are combined with the perspective transformation. (2) Based on YUV (luminance-bandwidth-chrominance) color spatial information of collected pointer meter images, the fitting curve of the brightness component histogram and its peak and valley information is obtained. Then, the k-means algorithm is improved based on this information to adaptively determine its optimal clustering number and its initial clustering center. In addition, the reflection detection of pointer meter images is carried out based on the improved k-means clustering algorithm. (3) The robot pose control strategy, including its moving direction and distance, can be determined to eliminate the reflective areas. Finally, an inspection robot detection platform is built for experimental study on the performance of the proposed detection method. Experimental results show that the proposed method not only has good detection accuracy that achieves 0.809 but also has the shortest detection time, which is only 0.6392 s compared with other methods available in the literature. The main contribution of this paper is to provide a theoretical and technical reference to avoid circumferential reflection for inspection robots. It can adaptively and accurately detect reflective areas of pointer meters and can quickly remove them by controlling the movement of inspection robots. The proposed detection method has the potential application to realize real-time reflection detection and recognition of pointer meters for inspection robots in complex environments.
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Song, Jiawei, Yan Jiang, Xueying Song, Zhiqiang Sheng, and Zibing Meng. "User-transformer relation identification based on power balance model and adaptive AFSA." Journal of Physics: Conference Series 2195, no. 1 (February 1, 2022): 012042. http://dx.doi.org/10.1088/1742-6596/2195/1/012042.

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Abstract User-transformer relation identification plays an important role in the correct management of low-voltage area archives and the improvement of line loss. In order to obtain an accurate user-transformer relation identification, this paper proposes a user-transformer relation identification method in the low-voltage area based on power balance model and adaptive artificial fish swarm algorithm(AFSA). This method uses the summation relationship between the total meter of the transformer and the user’s meter/meter box to fit the coefficients of the power balance equation through the AFSA, then we use the coefficients and related statistical values to judge the user-transformer relation. The main innovations are: this paper proposes a power balance model to solve the problem of user-transformer relation identification, which is simpler than previous methods and has strong operability; AFSA is used to fit the regression coefficients of the power balance equation, which has advantages in calculation accuracy and efficiency compared with the traditional least squares method; an improvement strategy of adaptive step length is proposed to make the ability of AFSA to find superior stronger. By selecting real station data for verification, the result shows that the method in this paper can quickly and accurately identify user’s meters/meter boxes with abnormal user-transformer relationship, the method in this paper has high computational efficiency and recognition accuracy without additional labor and hardware costs.
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Zhang, Li Lyna, Shihao Han, Jianyu Wei, Ningxin Zheng, Ting Cao, and Yunxin Liu. "nn-METER." GetMobile: Mobile Computing and Communications 25, no. 4 (March 30, 2022): 19–23. http://dx.doi.org/10.1145/3529706.3529712.

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Inference latency has become a crucial metric in running Deep Neural Network (DNN) models on various mobile and edge devices. To this end, latency prediction of DNN inference is highly desirable for many tasks where measuring the latency on real devices is infeasible or too costly. Yet it is very challenging and existing approaches fail to achieve a high accuracy of prediction, due to the varying model-inference latency caused by the runtime optimizations on diverse edge devices. In this paper, we propose and develop nn-Meter, a novel and efficient system to accurately predict the DNN inference latency on diverse edge devices. The key idea of nn-Meter is dividing a whole model inference into kernels, i.e., the execution units on a device, and conducting kernel-level prediction. nn-Meter builds atop two key techniques: (i) kernel detection to automatically detect the execution unit of model inference via a set of well-designed test cases; and (ii) adaptive sampling to efficiently sample the most beneficial configurations from a large space to build accurate kernel-level latency predictors. nn-Meter achieves significant high prediction accuracy on four types of edge devices.
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Chen, Liang, Youpeng Huang, Tao Lu, Sanlei Dang, Jie Zhang, Wen Zhao, and Zhengmin Kong. "Remote error estimation of smart meter based on clustering and adaptive gradient descent method." Journal of Computational Methods in Sciences and Engineering 22, no. 1 (January 26, 2022): 207–17. http://dx.doi.org/10.3233/jcm-215901.

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At present, the main way for electric power companies to check the accuracy of electric meters is that professionals regularly bring standard electric meters to the site for verification. With the widespread application of smart meters and the development of data processing technology, remote error estimation based on the operating data of smart meters becomes possible. In this paper, an error estimation method of smart meter based on clustering and adaptive gradient descent method is proposed. Firstly, the fuzzy c-means clustering method is used to preprocess the data to classify the operating conditions of each measurement, and then the adaptive gradient descent method is used to establish the error estimation model. The simulation results show that this method has high error estimation accuracy. This method has a small amount of calculation and high reliability and is suitable for large-scale power grids.
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Li, Zhu, Yisha Zhou, Qinghua Sheng, Kunjian Chen, and Jian Huang. "A High-Robust Automatic Reading Algorithm of Pointer Meters Based on Text Detection." Sensors 20, no. 20 (October 21, 2020): 5946. http://dx.doi.org/10.3390/s20205946.

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Automatic reading of pointer meters is of great significance for efficient measurement of industrial meters. However, existing algorithms are defective in the accuracy and robustness to illumination shooting angle when detecting various pointer meters. Hence, a novel algorithm for adaptive detection of different pointer meters was presented. Above all, deep learning was introduced to detect and recognize scale value text in the meter dial. Then, the image was rectified and meter center was determined based on text coordinate. Next, the circular arc scale region was transformed into a linear scale region by polar transform, and the horizontal positions of pointer and scale line were obtained based on secondary search in the expanded graph. Finally, the distance method was used to read the scale region where the pointer is located. Test results showed that the algorithm proposed in this paper has higher accuracy and robustness in detecting different types of meters.
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Mlakić, Dragan, Srete N. Nikolovski, and Goran Knežević. "An Adaptive Neuro-Fuzzy Inference System in Assessment of Technical Losses in Distribution Networks." International Journal of Electrical and Computer Engineering (IJECE) 6, no. 3 (June 1, 2016): 1294. http://dx.doi.org/10.11591/ijece.v6i3.10147.

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The losses in distribution networks have always been key elements in predicting investment, planning work, evaluating the efficiency and effectiveness of a network. This paper elaborates on the use of fuzzy logic systems in analyzing the data from a particular substation area predicting losses in the low voltage network. The data collected from the field were obtained from the Automatic Meter Reading (AMR) and Automatic Meter Management (AMM) systems. The AMR system is fully implemented in EPHZHB and integrated within the network infrastructure at secondary level substations 35/10kV and 10(20)/0.4 kV. The AMM system is partially implemented in the areas of electrical energy consumers; precisely, in accounting meters. Daily information gathered from these systems is of great value for the calculation of technical and non-technical losses. Fuzzy logic in combination with the Artificial Neural Networks implemented via the Adaptive Neuro-Fuzzy Inference System (ANFIS) is used. Finally, FIS Sugeno, FIS Mamdani and ANFIS are compared with the measured data from smart meters and presented with their errors and graphs.
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Mlakić, Dragan, Srete N. Nikolovski, and Goran Knežević. "An Adaptive Neuro-Fuzzy Inference System in Assessment of Technical Losses in Distribution Networks." International Journal of Electrical and Computer Engineering (IJECE) 6, no. 3 (June 1, 2016): 1294. http://dx.doi.org/10.11591/ijece.v6i3.pp1294-1304.

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The losses in distribution networks have always been key elements in predicting investment, planning work, evaluating the efficiency and effectiveness of a network. This paper elaborates on the use of fuzzy logic systems in analyzing the data from a particular substation area predicting losses in the low voltage network. The data collected from the field were obtained from the Automatic Meter Reading (AMR) and Automatic Meter Management (AMM) systems. The AMR system is fully implemented in EPHZHB and integrated within the network infrastructure at secondary level substations 35/10kV and 10(20)/0.4 kV. The AMM system is partially implemented in the areas of electrical energy consumers; precisely, in accounting meters. Daily information gathered from these systems is of great value for the calculation of technical and non-technical losses. Fuzzy logic in combination with the Artificial Neural Networks implemented via the Adaptive Neuro-Fuzzy Inference System (ANFIS) is used. Finally, FIS Sugeno, FIS Mamdani and ANFIS are compared with the measured data from smart meters and presented with their errors and graphs.
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Schwarzschild, Bertram. "Adaptive Optics at the New 8‐Meter Gemini Telescope." Physics Today 52, no. 9 (September 1999): 23. http://dx.doi.org/10.1063/1.882809.

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YUZHAKOV, A. A., Yu N. HIZHNYAKOV, S. A. STOROZHEV, and V. S. NIKULIN. "Adaptive fuzzy gas turbine engine combustion chamber temperature meter." Elektrotekhnika, no. 11 (2022): 6–11. http://dx.doi.org/10.53891/00135860_2022_11_6.

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Dissertations / Theses on the topic "ADAPTIVE METER"

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Chalmers, C. "Adaptive health monitoring using aggregated energy readings from smart meters." Thesis, Liverpool John Moores University, 2017. http://researchonline.ljmu.ac.uk/7543/.

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Worldwide, the number of people living with self-limiting conditions, such as Dementia, Parkinson’s disease and depression, is increasing. The resulting strain on healthcare resources means that providing 24-hour monitoring for patients is a challenge. As this problem escalates, caring for an ageing population will become more demanding over the next decade, and the need for new, innovative and cost effective home monitoring technologies are now urgently required. The research presented in this thesis directly proposes an alternative and cost effective method for supporting independent living that offers enhancements for Early Intervention Practices (EIP). In the UK, a national roll out of smart meters is underway. Energy suppliers will install and configure over 50 million smart meters by 2020. The UK is not alone in this effort. In other countries such as Italy and the USA, large scale deployment of smart meters is in progress. These devices enable detailed around-the-clock monitoring of energy usage. Specifically, each smart meter records accurately the electrical load for a given property at 10 second intervals, 24 hours a day. This granular data captures detailed habits and routines through user interactions with electrical devices. The research presented in this thesis exploits this infrastructure by using a novel approach that addresses the limitations associated with current Ambient Assistive Living technologies. By applying a novel load disaggregation technique and leveraging both machine learning and cloud computing infrastructure, a comprehensive, nonintrusive and personalised solution is achieved. This is accomplished by correlating the detection of individual electrical appliances and correlating them with an individual’s Activities of Daily Living. By utilising a random decision forest, the system is able to detect the use of 5 appliance types from an aggregated load environment with an accuracy of 96%. By presenting the results as vectors to a second classifier both normal and abnormal patient behaviour is detected with an accuracy of 92.64% and a mean squared error rate of 0.0736 using a random decision forest. The approach presented in this thesis is validated through a comprehensive patient trial, which demonstrates that the detection of both normal and abnormal patient behaviour is possible.
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Baltaci, Yusuf. "An investigation of adaptive data-rate operation for meteor burst communication systems." Thesis, University of Bristol, 1997. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.389159.

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Meyerowitz, Graham John. "The study of an adaptive bit rate modem for meteor scatter communications." Master's thesis, University of Cape Town, 1990. http://hdl.handle.net/11427/8341.

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Marafatto, Luca. "Multi Conjugate Adaptive Optics correction on an 8 meters telescope: a NIRVANA from the lab to the sky." Doctoral thesis, Università degli studi di Padova, 2016. http://hdl.handle.net/11577/3426776.

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In the last 50 years the apertures of the world largest ground-based telescopes doubled, passing from the 5 m of the Hale telescope (1948) to the over 10 m of the Gran Telescopio Canarias, serving the astronomers in their attempts to push further and further the boundaries of our knowledge of the sky. The astronomical community is now looking forward to the era of the 40 m telescope (Extremely Large Telescope, ELT), which will further improve the studies in many astronomical fields, enabling the observation of very faint and distant objects, beyond the limits of the currently known universe. However, since these telescopes are located on the ground and they are naturally affected by atmospherical seeing, even the largest telescope would be equivalent, in term of resolution and image quality, to a telescope of few tens of centimetres in diameter, if the seeing is not compensated. This is exactly the aim of Adaptive Optics, which plays a key role in the modern ground-based telescope, as it allows the telescope to recover, completely or partially, its theoretical resolution imposed by diffraction. Many different kinds and approaches to Adaptive Optics have been proposed in the last decades, each one with its level of correction, sky coverage, complexities etc. LINC-NIRVANA, the Fizeau interferometer for the LBT, is equipped with a complex Multi-Conjugate Adapive Optics system (MCAO), which allows to uniformily correct a 2 arcmin Field of View, enabling interferometric imaging on a 10 x 10 arcsec Field of View with a 23 m telescope equivalent resolution. When operated in this configuration, the LBT can be considered a precursor of the ELTs. In this Thesis I give a detailed description of the MCAO system serving LINC-NIRVANA, and in particular of its main subsystems, the Ground layer Wavefront Sensor (GWS) and the High layer Wavefront Sensor (HWS). I give an overview of the optical concepts and layout of the MCAO module, going through the definition of the alignment procedures defined to match the tight tolerances required to correctly operate the instrument, and concluding with the results and verifications of the alignment. I also widely describe the operations and the results of a Pathfinder Experiment, in which one of the two GWSs has been tested at the LBT as a stand alone system in order to verify its ability to drive the Adaptive Secondary Mirror of the LBT and also our ability to make it possible. In this way we acquired experience in view of the LINC-NIRVANA commissioning, planned at the end of 2016. Since LINC-NIRVANA is an Italian/German collaboration, the work described in this Thesis was carried out in three countries: Italy, Germany and U.S.
Negli ultimi 50 anni il diametro dei principali telescopi a terra del mondo è più che raddoppiato, passando dai circa 5 m del telescopio Hale ai più di 10 m del telescopio Gran Telescopio Canarias, in risposta alle necessità del mondo astronomico nel suo tentativo di spingere sempre più lontano i confini della nostra conoscenza della volta celeste. La comunità astronomica è ora proiettata ed in attesa dell’era dei telescopi da 40 m, che permetteranno di migliorare le nostre conoscenze e la nostra comprensione in moltissimi campi astronomici, permettendo di osservare sorgenti sempre più deboli e lontane, spingendo il nostro sguardo oltre i limiti attuali, fino ai sfiorare i confini dell’Universo appena nato. Tuttavia, dal momento che i telescopi a terra sono affetti dal fenomeno naturale del seeing, dovuto alla presenza di un mezzo turbolento tra il telescopio e la volta celeste (l’atmosfera), anche il telescopio più grande diverrebbe equivalente, quantomeno in termini di risoluzione e qualità dell’immagine, a un telescopio di poche decine di centimetri se non si risolve il problema del seeing. Questo è esattamente il proposito dell’Ottica Adattiva, che gioca un ruolo chiave nelle osservazioni astronomiche da terra, dal momento che permette ai telescopi di riacquisire, totalmente o in parte a seconda della tecnica di Ottica Adattiva utilizzata, il loro limite di risoluzione teorico imposto dalla diffrazione. Data la sua importanza, negli ultimi decenni sono stati sviluppati molti sistemi e concetti di Ottica Adattiva, ognuno con le sue peculiarità e caratteristiche. LINC-NIRVANA, l’interferometro di Fizeau per il Large Binocular Telescope, è equipaggiato con un complesso modulo di Ottica Adattiva Multiconiugata (MCAO), che consente di correggere uniformemente un campo di vista di 2 arcmin, permettendo di ottenere immagini interferometriche su un campo di 10 x 10 arcsec, molto esteso se comparato ad altri interferometri, con una risoluzione equivalente a quella di un telescopio di 23 m. In sostanza, in questa configurazione, LBT può essere considerato un precursore degli ELTs. In questo Tesi darò una descrizione dettagliata del modulo MCAO equipaggiato a LINC-NIRVANA, concentrandomi in particolare sui due principali sottosistemi che lo costituiscono: il Ground layer Wavefront Sensor (GWS) e l’High layer Wavefront Sensor (HWS). Darò una panoramica dei concetti di ottica su cui si basano questi sensori, definirò le procedure di allineamento utilizzate per soddisfare le rigide tolleranze imposte per poter operare lo strumento con buone prestazioni e infine descriverò i risultati dell’allineamento e di verifica. Inoltre, descriverò le attività e i risultati ottenuti durante un Pathfinder Experiment, il cui scopo principale è stato sia verificare le prestazioni di uno dei due GWSs come un sistema a sé stante, comandando lo specchio secondario adattivo di LBT, sia le nostre capacità di renderlo possibile, acquisendo esperienza per il futuro commissioning di LINC-NIRVANA, previsto per la fine del 2016. Essendo LINC-NIRVANA una collaborazione Italia/Germania, le attività effettuate dallo scrivente e descritte in questa Tesi sono state svolte in Italia, Germania e USA (per il Pathfinder).
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Breidenassel, Andreas [Verfasser], and Karlheinz [Akademischer Betreuer] Meier. "A High Dynamic Range CMOS Image Sensor with Adaptive Integration Time Control / Andreas Breidenassel ; Betreuer: Karlheinz Meier." Heidelberg : Universitätsbibliothek Heidelberg, 2005. http://d-nb.info/1178535614/34.

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Weise, Michael [Verfasser], Arnd [Akademischer Betreuer] Meyer, and Joachim [Gutachter] Schöberl. "Adaptive FEM for fibre-reinforced 3D structures and laminates / Michael Weise ; Gutachter: Joachim Schöberl ; Betreuer: Arnd Meyer." Chemnitz : Universitätsbibliothek Chemnitz, 2014. http://d-nb.info/1214302548/34.

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Weise, Martina [Verfasser], Arnd [Akademischer Betreuer] Meyer, and Olaf [Gutachter] Steinbach. "Elastic Incompressibility and Large Deformations : Numerical Simulation with adaptive mixed FEM / Martina Weise ; Gutachter: Olaf Steinbach ; Betreuer: Arnd Meyer." Chemnitz : Universitätsbibliothek Chemnitz, 2014. http://d-nb.info/1214302041/34.

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Meyer, Michael [Verfasser], Nikolaus A. [Akademischer Betreuer] Adams, and Wolfgang [Akademischer Betreuer] Schröder. "Simulation of Complex Turbulent Flows on Cartesian Adaptive Grids / Michael Meyer. Gutachter: Wolfgang Schröder ; Nikolaus A. Adams. Betreuer: Nikolaus A. Adams." München : Universitätsbibliothek der TU München, 2013. http://d-nb.info/1038526965/34.

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Meyer, Jan Meinhard [Verfasser], and Dominique [Gutachter] Thévenin. "Optimierung einer Pitot-Pumpe und deren Adaption zur Öl-Wasser-Trennung / Jan Meinhard Meyer ; Gutachter: Dominique Thévenin." Magdeburg : Universitätsbibliothek Otto-von-Guericke-Universität, 2019. http://d-nb.info/1219965456/34.

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Kämmer, Juliane Eva Verfasser], Gerd [Akademischer Betreuer] [Gigerenzer, Elke van der [Akademischer Betreuer] Meer, and Rocío García-Retamero [Akademischer Betreuer] Imedio. "How people make adaptive decisions with (the help of) others : studies from an ecological rationality perspective / Juliane Eva Kämmer. Gutachter: Gerd Gigerenzer ; Elke van der Meer ; Rocío García-Retamero Imedio." Berlin : Humboldt Universität zu Berlin, Mathematisch-Naturwissenschaftliche Fakultät II, 2013. http://d-nb.info/104300372X/34.

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Books on the topic "ADAPTIVE METER"

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Mineck, Raymond E. Hardware and operating features of the adaptive wall test section for the Langley 0.3-meter transonic cryogenic tunnel. [Washington, DC]: National Aeronautics and Space Administration, Scientific and Technical Information Division, 1989.

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S, Hill Acquilla, and United States. National Aeronautics and Space Administration. Scientific and Technical Information Division., eds. Calibration of the 13- by 13-inch adaptive wall test section for the Langley 0.3-Meter Transonic Cryogenic Tunnel. [Washington, DC]: National Aeronautics and Space Administration, Office of Management, Scientific and Technical Information Division, 1990.

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Center, Langley Research, ed. Wall adjustment strategy software for use with the NASA Langley 0.3-meter transonic cryogenic tunnel adaptive wall test section. Hampton, Va: National Aeronautics and Space Administration, Langley Research Center, 1989.

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National Aeronautics and Space Administration (NASA) Staff. Hardware and Operating Features of the Adaptive Wall Test Section for the 0. 3-Meter Transonic Cryogenic Tunnel. Independently Published, 2018.

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National Aeronautics and Space Administration (NASA) Staff. Calibration of the 13- by 13-Inch Adaptive Wall Test Section for the Langley 0. 3-Meter Transonic Cryogenic Tunnel. Independently Published, 2018.

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Higham, Charles F. W., and Nam C. Kim, eds. The Oxford Handbook of Early Southeast Asia. Oxford University Press, 2022. http://dx.doi.org/10.1093/oxfordhb/9780199355358.001.0001.

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Southeast Asia is one of the most significant regions in the world for tracing human prehistory over a period of 2 million years. Migrations from the African homeland saw settlement by Homo erectus and Homo floresiensis. Anatomically Modern Humans reached Southeast Asia at least 60,000 years ago to establish a hunter-gatherer tradition, adapting as climatic change saw sea levels fluctuate by over 100 meters. From about 2000 BC, settlement was affected by successive innovations that took place to the north and west. The first rice and millet farmers came by riverine and coastal routes to integrate with indigenous hunters. A millennium later, knowledge of bronze casting penetrated along similar pathways. Copper mines were identified, and metals were exchanged over hundreds of kilometers as elites commanded access to this new material. This Bronze Age ended with the rise of a maritime exchange network that circulated new ideas, religions and artifacts with adjacent areas of present-day India and China. Port cities were founded as knowledge of iron forging rapidly spread, as did exotic ornaments fashioned from glass, carnelian, gold, and silver. In the Mekong Delta, these developments led to an early transition into the state known as Funan. However, the transition to early states in inland regions arose as a sharp decline in monsoon rains stimulated an agricultural revolution involving permanent plowed rice fields. These twin developments illuminate how the great early kingdoms of Angkor, Champa, and Central Thailand came to be, a vital stage in understanding the roots of modern states.
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Book chapters on the topic "ADAPTIVE METER"

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González, Ana, Ana M. Bernardos, Carlos J. Gallego, and José R. Casar. "Leveraging Smart Meter Data for Adaptive Consumer Profiling." In 18th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2023), 174–84. Cham: Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-42529-5_17.

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Niu, Shanshuai, Junzheng Wang, Jiangbo Zhao, and Wei Shen. "Adaptive Robust Command Filtered Control in Separate Meter-In and Separate Meter-Out Control System." In Proceedings of International Conference on Image, Vision and Intelligent Systems 2022 (ICIVIS 2022), 858–68. Singapore: Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-99-0923-0_85.

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Fugate, R. Q. "Laser Guide Star Adaptive Optics on the 1.5 Meter Telescope at the Starfire Optical Range." In Very High Angular Resolution Imaging, 293–95. Dordrecht: Springer Netherlands, 1994. http://dx.doi.org/10.1007/978-94-011-0880-5_49.

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Zhou, Hongchao, Yongjun Liu, and Zhenjiang Qian. "A Fast Region Segmentation Algorithm for Water Meter Image Based on Adaptive Seed Point Selection." In Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, 23–35. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-99188-3_3.

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Frankiewicz, Artur. "Self-adapting Algorithm for Transmission Power Control in Integrated Meter Reading Systems Based on Wireless Sensor Networks." In Computer Networks, 439–47. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-21771-5_48.

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Ngouani, M. M. Siewe, Yong Kang Chen, R. Day, and O. David-West. "Low-Speed Aerodynamic Analysis Using Four Different Turbulent Models of Solver of a Wind Turbine Shroud." In Springer Proceedings in Energy, 149–54. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-63916-7_19.

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AbstractThis study presents the effect of four different turbulent models of solver on the aerodynamic analysis of a shroud at wind speed below 6 m/s. The converting shroud uses a combination of a cylindrical case and an inverted circular wing base which captures the wind from a 360° direction. The CFD models used are: the SST (Menter) k-ω model, the Reynolds Stress Transport (RST) model, the Improved Delay Detached Eddies Simulation model (IDDES) SST k-ω model and the Large Eddies Simulation Wall Adaptive model. It was found that all models have predicted a convergent surface pressure. The RST, the IDDES and the WALE LES are the only models which have well described regions of pressure gradient. They have all predicted a pressure difference between the planes (1–5) which shows a movement of the air from the lower plane 1 (inlet) to the higher plane 5 (outlet). The RST and IDDES have predicted better vorticities on the plane 1 (inlet). It was also found that the model RST, IDDES, and WALE LES have captured properly the area of turbulences across the internal region of the case. All models have predicted the point of flow separation. They have also revealed that the IDDES and the WALE LES can capture and model the wake eddies at different planes. Thus, they are the most appropriate for such simulation although demanding in computational power. The movement of air predicted by almost all models could be used to drive a turbine.
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Maheswari M. and Gunasekharan S. "Smart Grid." In Cases on Green Energy and Sustainable Development, 324–49. IGI Global, 2020. http://dx.doi.org/10.4018/978-1-5225-8559-6.ch012.

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The electric grid that has the tendency to communicate two-way and can sense various parameters in the transmission line is termed as smart grid. This chapter deals about the overview of smart grid evolution, characteristics, and operation. There are various benefits in smart grid like improvement in efficiency, adaptive, self-healing, and optimized than conventional grid. The smart grid composition is complex and defined based on standards adaption, technical components perspective, technical perspective, and conceptual reference model perspective. In the architecture of smart grid, the role of advanced metering infrastructure (AMI) plays a vital role to sense, measure, record, and communicate the data from load centre to data centre. AMI consists of smart meter, communication network, data reception, and management system. This chapter also covers the IEEE and IEC standards defined for smart grid operation. It also envisages the barriers in the implementation of smart grids.
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Aymen, Flah, Habib Kraiem, and Sbita Lassaâd. "Electrical Motor Parameters Estimator Improved by a Computational Algorithm." In Handbook of Research on Advanced Intelligent Control Engineering and Automation, 567–600. IGI Global, 2015. http://dx.doi.org/10.4018/978-1-4666-7248-2.ch021.

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In this chapter, two computational algorithms are proposed and applied on an estimation algorithm, in order to improve the global performance of the estimation phase. The proposed system is studied based on the Model Reference Adaptive System (MRAS). The importance of the estimation phase in a large applications number is basically observed on the applications applied on electrical motors, where a lot number of parameters are measured with real measurement equipments, as Tesla Meter, speed shaft, and others. The idea is based generally on the software applications, where it is possible to guarantee the desired estimation phase using a software algorithm. In this chapter the MRAS technique is proposed as the software algorithm, for replacing the measurement materials for online estimate the overall characteristic PMSM parameters. Our approach aims to ameliorate the MRAS technique with intelligent optimization methods called BFO and PSO.
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Bai, Xiaoying, Jerry Gao, and Wei-Tek Tsai. "Cloud Scalability Measurement and Testing." In Cloud Technology, 1956–80. IGI Global, 2015. http://dx.doi.org/10.4018/978-1-4666-6539-2.ch091.

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Cloud computing introduces a new paradigm for software deployment, hosting, and service renting. Based on the XaaS architecture, a large number of users may share computing resources, platform services, and application software in a multi-tenancy approach. To ensure service availability, the system needs to support an advanced level of massive scalability so that it can provide necessary resources on demand following the pay-per-use pricing model. This chapter analyzes the unique requirements of cloud performance and scalability, compared with traditional distributed systems. Measurements are proposed with performance indicators, meters, and metrics identified from different perspectives. To support scalability testing in a dynamic environment, an agent-based testing framework is proposed to facilitate adaptive load generation and simulation using a two-layer control architecture.
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Lester, Hugh D., Graham B. McKay, and Ellyn A. Lester. "Sociotechnical Systems for High Rise Detention." In Advances in Transdisciplinary Engineering. IOS Press, 2019. http://dx.doi.org/10.3233/atde190138.

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Society deems detention facilities successful when total life cycle cost is minimized without compromising safe, secure, and constitutional incapacitation. However, this consensus view represents only a minor subset of the potential of jails. System boundaries should be expanded, and a much larger set of outcomes considered. This case study of the design of a high-rise jail embodies transdisciplinary exploration of operational integration, architectural design, and engineering disciplines. The resulting 1,200-bed facility will rise 193.5 feet (59 meters) and cost an estimated $1.4 billion dollars. Sociotechnical systems ultimately determine conditions of confinement and the successful administration of justice within facilities that incarcerate. While organizational and detainee culture contribute to the criminogenic | rehabilitative continuum of outcomes, design can rise to the level of organizational culture, psychological drivers, and policies, procedures, and post orders in its potential to influence outcomes. Justice facilities are complex adaptive systems that cannot be directly controlled. We can—at best—influence their evolution, nudging them toward desired goal states.
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Conference papers on the topic "ADAPTIVE METER"

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Bruns, Donald G. "Five-order adaptive optics for meter-class telescopes." In Adaptive Optics. Washington, D.C.: Optica Publishing Group, 1996. http://dx.doi.org/10.1364/adop.1996.amb.20.

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A low order adaptive optics system for astronomical telescopes based on simple optics and commercially available key components can serve as more than an introduction to adaptive optics hardware and testing. For a one meter telescope, in the case of (D/r0) between about five and eight, only five correction orders are required to produce significantly improved images. Such a low order system has been designed and built, using translating lenses to produce smooth aberration corrections. The system, called the AO-5, is meant to correct atmospheric turbulence in the visible and near infrared spectral regions. This paper reports on measurements of the corrections applied to synthesized atmospheric aberrations created by a turbulence generator. The AO-5 will installed in the summer of 1996 on one of the Meyer Foundation's dual 0.72 m Ritchey-Cretién telescopes on the 4300 meter level of Mount Evans, Colorado.
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Oldenettel, Jerry R. "Mirror and dome seeing measurements at AMOS." In Adaptive Optics for Large Telescopes. Washington, D.C.: Optica Publishing Group, 1992. http://dx.doi.org/10.1364/aolt.1992.amc5.

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While the effect of mirror and dome temperatures on seeing quality has been the subject of several recent laboratory experiments (1,2,3), no data from working telescope systems has been published. In this paper, I present data collected on telescopes of two different designs located at the Maui Space Surveillance Site located near the 10,000 foot summit of Haleakala Volcano on Maui, HI. The 1.6 meter aperture AMOS telescope is a closed tube Cassegrain design which tends to trap mirror generated turbulence and channel it along the telescope line of site. The 1.2 meter aperture MOTIF telescope is an open truss Cassegrain design with a short tube which extends about 1 meter above the mirror. The telescopes are housed in separate 15 meter domes located about 50 meters apart.
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Jenkins, Charles, Nick Dillon, Mike Burns, Rick McGonegal, Jim Oschmann, and David Robertson. "Gemini 8 Meter Telescopes Active Guiding System Considerations." In Adaptive Optics. Washington, D.C.: Optica Publishing Group, 1995. http://dx.doi.org/10.1364/adop.1995.tua40.

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The GEMINI telescopes are intended to deliver very good image quality with only tip-tilt correction at the secondary mirror. Designing the guiding systems for these telescopes has made use of simple yet accurate models of the image size. These are described here, with illustrations of the complex tradeoffs that are necessary to achieve the best images. The current design of the guiders is given. These also serve as active optics wavefront sensors to provide closed loop control of the telescope alignment and figure at slow rates.
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Oschmann, Jim, Doug Simons, Dave Robertson, Matt Mountain, Dick Kurz, Charles Jenkins, and Glen Herriot. "Gemini 8-Meter Telescopes Active and Adaptive Optics Update." In Adaptive Optics. Washington, D.C.: Optica Publishing Group, 1995. http://dx.doi.org/10.1364/adop.1995.tua3.

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The Gemini 8-Meter Telescopes are being designed to deliver near diffraction limited images at infrared wavelengths to the focal plane. This will be achieved with a combination of innovative telescope design, a fully active control system and a natural guide star adaptive optics (AO) system for the Mauna Kea Telescope. An overview of how the Gemini Adaptive Optics System works in concert with the active systems employed on the Gemini telescopes is given. Extensive trades have been made in determining the mix of sensors to support both active and adaptive operation. The current concept of how the systems will work in concert is presented here.
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Crane, Jeffrey, David R. Andersen, Jenny Atwood, Peter Byrnes, Joeleff Fitzsimmons, Olivier Lardière, Adam Densmore, et al. "NFIRAOS adaptive optics for the Thirty Meter Telescope." In Adaptive Optics Systems VI, edited by Dirk Schmidt, Laura Schreiber, and Laird M. Close. SPIE, 2018. http://dx.doi.org/10.1117/12.2314341.

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Mateen, Mala, Odell Reynolds, and Mark Eickhoff. "High contrast adaptive optics system for meter class telescopes." In Adaptive Optics Systems VII, edited by Dirk Schmidt, Laura Schreiber, and Elise Vernet. SPIE, 2020. http://dx.doi.org/10.1117/12.2563214.

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Friedman, Herbert W., Gaylen V. Erbert, Donald T. Gavel, Thomas C. Kuklo, Jody G. Malik, J. Thaddeus Salmon, David A. Smauley, and Gary R. Thompson. "A Sodium Guide Star Laser System for the Lick Observatory 3 Meter Telescope." In Adaptive Optics. Washington, D.C.: Optica Publishing Group, 1995. http://dx.doi.org/10.1364/adop.1995.tua28.

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The use of sodium-layer laser guide stars for adaptive optics systems greatly enhances the sky coverage as compared to systems using natural guide stars. In order to demonstrate the feasibility of a sodium-layer guide star, a 20 W pulsed dye laser system has been designed and installed on the 3 meter Shane telescope at the Lick Observatory, Mt. Hamilton, California. The adaptive optics system used in conjunction with the laser guide star system has been described elsewhere1 and has already demonstrated diffraction limited images at the 2.2 micron wavelength using natural guide stars. The integration of the sodium laser guide star and the adaptive optics systems represents the first such installation on an astronomical telescope.
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Nardello, Matteo, Maurizio Rossi, and Davide Brunelli. "Autonomous power meter with adaptive processing." In SenSys '17: The 15th ACM Conference on Embedded Network Sensor Systems. New York, NY, USA: ACM, 2017. http://dx.doi.org/10.1145/3142992.3143003.

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Brown, James M., and James C. Goodding. "Mechanically-Induced Line-of-Sight Jitter in the Starfire Optical Range 1.5 Meter Telescope." In Adaptive Optics. Washington, D.C.: Optica Publishing Group, 1996. http://dx.doi.org/10.1364/adop.1996.amb.19.

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Prior to the use of adaptive optics, many sources of line-of-sight jitter were masked by atmospheric effects. That is, we cannot observe small jitter in the optical data while wave-front distortions dominate the error in our images. However, we have seen that seemingly negligible error sources become significant as we conquer the atmospheric problems.
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Chun, Mark R., Stefan Kuiper, Gilles Ackaert, Christoph Baranec, Arjo Bos, Rachel Bowens-Rubin, Bert Dekker, et al. "Progress on the University of Hawaii 2.2-meter adaptive secondary mirror." In Adaptive Optics Systems VIII, edited by Dirk Schmidt, Laura Schreiber, and Elise Vernet. SPIE, 2022. http://dx.doi.org/10.1117/12.2629046.

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Reports on the topic "ADAPTIVE METER"

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Restaino, Sergio R., G. C. Gilbreath, Don M. Payne, J. T. Baker, T. Martinez, M. DiVittorio, David Mozurkewich, and J. Friedman. Results from a Portable Adaptive Optics System on the 1 Meter Telescope at the Naval Observatory Flagstaff Station. Fort Belvoir, VA: Defense Technical Information Center, January 2003. http://dx.doi.org/10.21236/ada474890.

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