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Relevant bibliographies by topics / Average Threshold Crossing

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Academic literature on the topic 'Average Threshold Crossing'

Author: Grafiati

Published: 14 March 2023

Last updated: 31 July 2025

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Journal articles on the topic "Average Threshold Crossing"

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Preeti*. "NETWORK PERFORMANCE MONITORING USING THRESHOLD CROSSING ALERTS." INTERNATIONAL JOURNAL OF ENGINEERING SCIENCES & RESEARCH TECHNOLOGY 5, no. 5 (2016): 122–25. https://doi.org/10.5281/zenodo.51005.

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Threshold crossing alerts (TCAs) indicate to a management system that a management variable, associated with the state, performance or health of the network, has crossed a certain threshold. The timely detection of TCAs is essential to proactive management. This paper focuses on detecting TCAs for network-level variables, which are computed from device-level variables using aggregation functions, such as SUM, MAX, or AVERAGE. This paper proposes a methodology which could be managing the individual network elements deployed in the telecommunication network environment. This proposed system uses

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Yanyo, L. C., and F. N. Kelley. "Effect of Chain Length Distribution on the Tearing Energy of Silicone Elastomers." Rubber Chemistry and Technology 60, no. 1 (1987): 78–88. http://dx.doi.org/10.5254/1.3536123.

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Abstract The tearing energies of two endlinked PDMS networks, one a monomodal distribution of chain lengths and the other a bimodal mixture of very short and rather long chains, at the same average molecular weight between crosslinks, were compared. The bimodal network exhibited higher tearing strengths than the monomodal network under the same experimental conditions. At threshold conditions, the bimodal network tearing energy was 70% higher than the threshold strength of the monomodal network. A rederivation of the Lake and Thomas theory for the threshold tearing strength which includes a bi

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Xue, Xiao, Maximilian Russ, Nodar Samkharadze, et al. "Quantum logic with spin qubits crossing the surface code threshold." Nature 601, no. 7893 (2022): 343–47. http://dx.doi.org/10.1038/s41586-021-04273-w.

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AbstractHigh-fidelity control of quantum bits is paramount for the reliable execution of quantum algorithms and for achieving fault tolerance—the ability to correct errors faster than they occur1. The central requirement for fault tolerance is expressed in terms of an error threshold. Whereas the actual threshold depends on many details, a common target is the approximately 1% error threshold of the well-known surface code2,3. Reaching two-qubit gate fidelities above 99% has been a long-standing major goal for semiconductor spin qubits. These qubits are promising for scaling, as they can lever

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Yacoub, M. D., C. R. C. M. da Silva, and J. E. Vargas B. "Level crossing rate and average fade duration for pure selection and threshold selection diversity-combining systems." International Journal of Communication Systems 14, no. 10 (2001): 897–907. http://dx.doi.org/10.1002/dac.514.

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Chesher, Andrew, and Adam M. Rosen. "What Do Instrumental Variable Models Deliver with Discrete Dependent Variables?" American Economic Review 103, no. 3 (2013): 557–62. http://dx.doi.org/10.1257/aer.103.3.557.

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We compare nonparametric instrumental variables (IV) models with linear models and 2SLS methods when dependent variables are discrete. A 2SLS method can deliver a consistent estimator of a Local Average Treatment Effect but is not informative about other treatment effect parameters. The IV models set identify a range of interesting structural and treatment effect parameters. We give set identification results for a counterfactual probability and an Average Treatment Effect in a IV binary threshold crossing model. We illustrate using data on female employment and family size (employed by Joshua

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Mascio, Paola Di, and Laura Moretti. "Hourly Capacity of a Two Crossing Runway Airport." Infrastructures 5, no. 12 (2020): 111. http://dx.doi.org/10.3390/infrastructures5120111.

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At the international level, the interest in airport capacity is growing in the last years because its maximization ensures the best performances of the infrastructure. However, infrastructure, procedure, human factor constraints should be considered to ensure a safe and regular flow to the flights. This paper analyzed the airport capacity of an airport with two crossing runways. The fast time simulation allowed modeling the baseline scenario (current traffic volume and composition) and six operative scenarios; for each scenario, the traffic was increased until double the current volume. The ob

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Steffen, Will, Johan Rockström, Katherine Richardson, et al. "Trajectories of the Earth System in the Anthropocene." Proceedings of the National Academy of Sciences 115, no. 33 (2018): 8252–59. http://dx.doi.org/10.1073/pnas.1810141115.

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We explore the risk that self-reinforcing feedbacks could push the Earth System toward a planetary threshold that, if crossed, could prevent stabilization of the climate at intermediate temperature rises and cause continued warming on a “Hothouse Earth” pathway even as human emissions are reduced. Crossing the threshold would lead to a much higher global average temperature than any interglacial in the past 1.2 million years and to sea levels significantly higher than at any time in the Holocene. We examine the evidence that such a threshold might exist and where it might be. If the threshold

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Lawal, Omobolaji, Shaik Althaf V. Shajihan, Kirill Mechitov, and Billie F. Spencer. "An Event-Classification Neural Network Approach for Rapid Railroad Bridge Impact Detection." Sensors 23, no. 6 (2023): 3330. http://dx.doi.org/10.3390/s23063330.

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Railroads are a critical part of the United States’ transportation sector. Over 40 percent (by weight) of the nation’s freight is transported by rail, and according to the Bureau of Transportation statistics, railroads moved $186.5 billion of freight in 2021. A vital part of the freight network is railroad bridges, with a good number being low-clearance bridges that are prone to impacts from over-height vehicles; such impacts can cause damage to the bridge and lead to unwanted interruption in its usage. Therefore, the detection of impacts from over-height vehicles is critical for the safe oper

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Shi, Xue Chao, Zhen Zhong Sun, and Sheng Lin Lu. "A Novel Method of Sub-Pixel Linear Edge Detection Based on First Derivative Approach." Advanced Materials Research 139-141 (October 2010): 2107–11. http://dx.doi.org/10.4028/www.scientific.net/amr.139-141.2107.

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In this paper, a novel algorithm is proposed to detect linear edge. Image gradient is acquired by Sobel or Prewitt filters. Logical addition is applied to enhance image contrast. Statistical method is employed to cope with gradient data—gradient projection in the horizontal and vertical direction to compute the average gradient value. Multi-level B-Spline interpolation is employed to smooth gradient data. At last, edge coordinates can be computed precisely by the number and interval of extreme points. The experiment results are presented to show validity of the algorithm, which precision and a

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Jiang, Nan, and Ting Liu. "An Improved Speech Segmentation and Clustering Algorithm Based on SOM and K-Means." Mathematical Problems in Engineering 2020 (September 12, 2020): 1–19. http://dx.doi.org/10.1155/2020/3608286.

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This paper studies the segmentation and clustering of speaker speech. In order to improve the accuracy of speech endpoint detection, the traditional double-threshold short-time average zero-crossing rate is replaced by a better spectrum centroid feature, and the local maxima of the statistical feature sequence histogram are used to select the threshold, and a new speech endpoint detection algorithm is proposed. Compared with the traditional double-threshold algorithm, it effectively improves the detection accuracy and antinoise in low SNR. The k-means algorithm of conventional clustering needs

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Dissertations / Theses on the topic "Average Threshold Crossing"

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ROSSI, FABIO. "A Bio-Inspired Processing Unit for Surface Electromyography Applications." Doctoral thesis, Politecnico di Torino, 2022. https://hdl.handle.net/11583/2972787.

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Book chapters on the topic "Average Threshold Crossing"

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Jhnujhunwala, Rajat Rakesh, and Geethanjali P. "Effect of Delay in EOG Signals for Eye Movement Recognition." In Advances in Medical Technologies and Clinical Practice. IGI Global, 2021. http://dx.doi.org/10.4018/978-1-7998-8018-9.ch005.

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Electrooculogram (EOG) signals as a part of human-controlled interface (HCI) is proposed for detecting the relevant information in EOG with and without delay in movement of eyes. The performance of eye movements is studied with the accuracy in identification of information along with single and double blink. The algorithm consists of a simple first order derivative, threshold windowing technique, and pattern recognition. The EOG pattern recognition was studied with time domain features mean value (MV) and ensemble of MV and zero crossing (ZC). The highest average classification accuracy of 85%

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Conference papers on the topic "Average Threshold Crossing"

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., Amirhossein, Masoud Shahshahani, Paolo Motto Ros, et al. "An All-Digital Spike-Based Ultra-Low-Power IR-UWB Dynamic Average Threshold Crossing Scheme for Muscle Force Wireless Transmission." In Design, Automation and Test in Europe. IEEE Conference Publications, 2015. http://dx.doi.org/10.7873/date.2015.1062.

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Devonald, Martin, Mike Hill, Peter Song, Hamish Weatherly, and Lauren Vincent. "Real-Time Flood Monitoring and Management of a Mississippi River Pipeline Crossing." In 2016 11th International Pipeline Conference. American Society of Mechanical Engineers, 2016. http://dx.doi.org/10.1115/ipc2016-64219.

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Enbridge Liquids Pipelines (Enbridge) operates over 26,000 km of liquid pipelines in Canada and the US, administers a system-wide geohazard management program to identify, investigate and monitor geohazards, and performs remediation as required. An integral part of the geohazard management program is real-time flood monitoring, where pipeline watercourse crossings affected by flooding are identified and flood levels monitored. Watercourse crossings where the pipelines have a high potential to become exposed, to span, and potentially to fail during a flood event are studied in more detail. This

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Zhang, Jiawei, Tao Zhuang, Guodong Ji, Hongchun Huang, Zhen Ding, and Zhaoliang Yang. "Revealing and Solving the Hidden Hinders for Efficient Shale Gas Drilling Based on Data Analytics and Machine Learning." In APOGCE 2024. SPE, 2024. http://dx.doi.org/10.2118/221284-ms.

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Abstract Despite annual production of shale gas exceeding 20 billion cubic meters from Sichuan basin in China, its cost-effective development has been constrained by lengthy drilling cycle of horizontal sections caused by downhole complex such as leakage, stuck pipe, multiple drilling trips due to frequent downhole tool failure, low ROP, bit wear and other related challenges. Progress has been realized in reducing NPT and increasing ROP due to extensive effort in complex prevention and drilling optimization in the last few years. However, little attention has been paid to the influence of down

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Hu, Jialiang, Pradeep Menon, Amna Al Yaqoubi, et al. "Fracture Characterization in Deep Gas Reservoirs to Identify Fracture Enhanced Flow Units, Offshore Abu Dhabi." In Abu Dhabi International Petroleum Exhibition & Conference. SPE, 2021. http://dx.doi.org/10.2118/207646-ms.

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Abstract High gas flow rates in deep-buried dolomitized reservoir from an offshore field Abu Dhabi cannot be explained by the low matrix permeability. Previous permeability multiplier based on distance to major faults is not a solid geological solution due to over-simplifying reservoir geomechanics, overlooking folding-related fractures, and lack of detailed fault interpretation from poor seismic. Alternatively, to characterize the heterogeneous flow related with natural fractures in this undeveloped reservoir, fracture network is modelled based on core, bore hole imager (BHI), conventional lo

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