Relevant bibliographies by topics / Adaptive four-threshold

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Academic literature on the topic 'Adaptive four-threshold'

Author: Grafiati
Published: 4 June 2025
Last updated: 1 August 2025

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Journal articles on the topic "Adaptive four-threshold"

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Zhao, Hongyang, and Miaoyi Shang. "An adaptive edge-detection method based on histogram." Modern Physics Letters B 32, no. 34n36 (2018): 1840088. http://dx.doi.org/10.1142/s0217984918400882.

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In order to solve the problems of poor adaptability when setting threshold and the high probability of detecting pseudo-edges in the existing methods of edge detection, the paper proposes an adaptive edge-detection method based on histogram. Multi-scale wavelet transform is used to preprocess the image, the image details are highlighted obviously, and it also can avoid the effect of manual setting filter coefficients. Difference of gray values between the pixels of local area are used to calculate the gradients comprehensively, it extends the gradient direction to four directions. When calcula
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Wu, Guang Wen, and Chang Ming Wang. "Wavelet De-Noising Based on Genetic Adaptive Threshold Algorithm." Advanced Materials Research 989-994 (July 2014): 3595–98. http://dx.doi.org/10.4028/www.scientific.net/amr.989-994.3595.

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The central step of de-noising in wavelet domain is the threshold selection. To get the best de-noising result, the threshold should be selected according to the noisy observation. This paper presents a genetic adaptive threshold method, which gets the optimum threshold in the sense of least MSE by using an estimation function of the signals’ MSE function. The simulation results with standard wavelet test signals shows that the operation speed of the proposed method four times the traditional continuous searching algorithm, moreover, the optimum threshold calculated is more accurate and reason
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Voskoboinikov, Yuri E. "А locally adaptive wavelet filtering algorithm for images". Analysis and data processing systems, № 1 (29 березня 2023): 25–36. http://dx.doi.org/10.17212/2782-2001-2023-1-25-36.

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The algorithms based on the decomposition of a noisy image in an orthogonal basis of wavelet functions have been widely used to filter images (especially contrasting ones) over the past four decades. In this case, most wavelet filtering algorithms are of a threshold nature, namely: the decomposition coefficient smaller in an absolute value of a certain threshold value is reset to zero; otherwise the coefficient undergoes some (most often nonlinear) transformation. A certain (and very significant) drawback of threshold algorithms is that all coefficients of a certain decomposition level are pro
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A., R. Mohazabiyeh, and Amirizadeh KH. "Energy-Aware Adaptive Four Thresholds Technique for Optimal Virtual Machine Placement." International Journal of Electrical and Computer Engineering (IJECE) 8, no. 5 (2018): 3890–901. https://doi.org/10.11591/ijece.v8i5.pp3890-3901.

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With the increasing expansion of cloud data centers and the demand for cloud services, one of the major problems facing these data centers is the “increasing growth in energy consumption ". In this paper, we propose a method to balance the burden of virtual machine resources in order to reduce energy consumption. The proposed technique is based on a four-adaptive threshold model to reduce energy consumption in physical servers and minimize SLA violation in cloud data centers. Based on the proposed technique, hosts will be grouped into five clusters: hosts with low load, hosts with a
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Essel, Ebenezer, Fred Lacy, Fatema Albalooshi, Wael Elmedany, and Yasser Ismail. "Drowsiness Detection in Drivers Using Facial Feature Analysis." Applied Sciences 15, no. 1 (2024): 20. https://doi.org/10.3390/app15010020.

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Drowsiness has been recognized as a leading factor in road accidents worldwide. Despite considerable research in this area, this paper aims to improve the precision of drowsiness detection specifically for long-haul travel by employing the Dlib-based facial feature detection algorithm. This study proposes two algorithms: a static and adaptive frame threshold. Both approaches utilize eye closure ratio (ECR) and mouth aperture ratio (MAR) parameters to determine the driver’s level of drowsiness. The static threshold method issues a warning when the ECR and/or MAR values reach specific thresholds
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Hoegh, M., K. K. Petersen, and T. Graven-Nielsen. "Fixed or adapted conditioning intensity for repeated conditioned pain modulation." Scandinavian Journal of Pain 16, no. 1 (2017): 176. http://dx.doi.org/10.1016/j.sjpain.2017.04.034.

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Abstract Aims Conditioned pain modulation (CPM) is used to assess descending pain modulation through a test stimulation (TS) and a conditioning stimulation (CS). Due to potential carry-over effects, sequential CPM paradigms might alter the intensity of the CS, which potentially can alter the CPM-effect. This study aimed to investigate the difference between a fixed and adaptive CS intensity on CPM-effect. Methods On the dominant leg of 20 healthy subjects the cuff pressure detection threshold (PDT) was recorded as TS and the pain tolerance threshold (PTT) was assessed on the non-dominant leg f
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Iskandarani, Mahmoud Zaki. "Handover between Vehicular Network Providers Using Bioinspired Attractor Selection Technique." Journal of Electrical and Computer Engineering 2022 (March 30, 2022): 1–13. http://dx.doi.org/10.1155/2022/8528313.

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This study looks at how to describe vehicular network connectivity using MATLAB simulation of an E. coli biological system. The model takes advantage of E. coli’s ability to adapt to environmental changes and variations by having stable states, which allows E. coli to continue surviving and developing, and uses this property to improve vehicular network connectivity to network service providers. As a result, an adaptive response to network pattern changes in terms of signal quality and stability can be obtained, as well as acceptable levels of connectivity in a changing environment via a hando
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Mühler, Roland, Katrin Mentzel, and Jesko Verhey. "Fast Hearing-Threshold Estimation Using Multiple Auditory Steady-State Responses with Narrow-Band Chirps and Adaptive Stimulus Patterns." Scientific World Journal 2012 (2012): 1–7. http://dx.doi.org/10.1100/2012/192178.

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This paper describes the estimation of hearing thresholds in normal-hearing and hearing-impaired subjects on the basis of multiple-frequency auditory steady-state responses (ASSRs). The ASSR was measured using two new techniques: (i) adaptive stimulus patterns and (ii) narrow-band chirp stimuli. ASSR thresholds in 16 normal-hearing and 16 hearing-impaired adults were obtained simultaneously at both ears at 500, 1000, 2000, and 4000?Hz, using a multiple-frequency stimulus built up of four one-octave-wide narrow-band chirps with a repetition rate of 40?Hz. A statistical test in the frequency dom
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Sun, Tao, and Chang Zhi Gao. "An Improved Canny Edge Detection Algorithm." Applied Mechanics and Materials 291-294 (February 2013): 2869–73. http://dx.doi.org/10.4028/www.scientific.net/amm.291-294.2869.

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Traditional Canny edge detection algorithm uses a global threshold selection method, when large changes are in the background of the image and the target gray, global threshold method may lose some local edge information. For this problem, this paper therefore proposes an adaptive dynamic threshold improved Canny edge detection algorithm. The method uses image gradient variance as the criterion of the image block according to the four forks tree principle, then uses the Otsu method to get the corresponding sub-block threshold value for each sub-block, and obtains threshold value matrix by inte
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Dong, Enzeng, Yao Zhao, Xiao Yu, Junchao Zhu, and Chao Chen. "An Improved NMS-Based Adaptive Edge Detection Method and Its FPGA Implementation." Journal of Sensors 2016 (2016): 1–8. http://dx.doi.org/10.1155/2016/1470312.

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For improving the processing speed and accuracy of edge detection, an adaptive edge detection method based on improved NMS (nonmaximum suppression) was proposed in this paper. In the method, the gradient image was computed by four directional Sobel operators. Then, the gradient image was processed by using NMS method. By defining a power map function, the elements values of gradient image histogram were mapped into a wider value range. By calculating the maximal between-class variance according to the mapped histogram, the corresponding threshold was obtained as adaptive threshold value in edg
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Conference papers on the topic "Adaptive four-threshold"

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Kagan, David, and Harry Friedmann. "Optical Error Correction by Adaptive Thresholding." In Optical Computing. Optica Publishing Group, 1989. http://dx.doi.org/10.1364/optcomp.1989.tui19.

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During the last few years we have suggested1−2 the use of a four-level system irradiated by a bichromatic beam to obtain a tunable optical bistable device. By tunable we mean that the switching threshold can be altered without changing the hardware characteristics, the operating temperature, or the frequencies of the inputs to the device. The basic principle of our suggestion is that by irradiating the non-linear optical material by two beams of appropriately chosen frequencies in an optical cavity, one can act as a signal and the other as tuning control beam. The advantage of the four level s
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Cheng, Marvin H. M., and Ezzat G. Bakhoum. "Fractal Compression and Adaptive Sampling With HV Partitioning: Accelerating the Scanning Process in Scanning Probe Microscopy." In ASME 2009 International Mechanical Engineering Congress and Exposition. ASMEDC, 2009. http://dx.doi.org/10.1115/imece2009-10562.

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Typically, a scanning probe microscope (SPM) moves the scanning tip along a zig-zag trajectory. For a given scanning mechanism, the time needed to image an area depends mainly on the number of samples and the size of the image. The imaging speed is further compromised by drifts associated with the substrate and the piezo scanner. It is therefore desirable to improve the imaging speed with limited impact to the effective resolution of the resulting image. In this paper, an adaptive sampling algorithm based on the fractal compression theory of iterated transformations is proposed to address the
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FARAG, Mena Maurice. "Adaptive cooling framework for Photovoltaic systems: A seasonal investigation under the terrestrial conditions of Sharjah, UAE." In Renewable Energy: Generation and Application. Materials Research Forum LLC, 2024. http://dx.doi.org/10.21741/9781644903216-10.

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Abstract. The increment of PV operating temperature has a significant impact on the overall efficiency, longevity, and degradation of PV systems. In this notion, researchers have sought to investigate different cooling methodologies to minimize the impact of abrupt operating temperatures. However, most investigations discuss the impact of the working base fluid in small periods without proposing methods for temperature regulation based on defined thresholds. In this study, an adaptive cooling framework is proposed through thermal and electrical modeling to examine the cooling effect on a 2.88
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Datta, A., C. Mavroidis, and M. Hosek. "A Role of Unsupervised Clustering for Intelligent Fault Diagnosis." In ASME 2007 International Mechanical Engineering Congress and Exposition. ASMEDC, 2007. http://dx.doi.org/10.1115/imece2007-43492.

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In the field of data analysis two terms frequently encountered are supervised and unsupervised methods of data classification and clustering methodologies. While supervised methods mostly deal with training classifiers for known symptoms, unsupervised clustering provides exploratory techniques for finding hidden patterns in the data. With huge volumes of data being generated from different systems everyday, what makes a system intelligent is its ability to analyze the data for efficient decision-making based on known or new cluster discovery. The three-fold contribution of this paper can be su
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Ayob, Aida Normardiana, Che Rosmani Che Hassan, and Mahar Diana Hamid. "Determination of elements for technical and vocational education and training (TVET) safety culture maturity measurement preliminary framework." In International Technical Postgraduate Conference 2022. AIJR Publisher, 2022. http://dx.doi.org/10.21467/proceedings.141.24.

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Occupational safety is vital and should be prioritised in the public sector's critical performance agenda. Strong safety culture is able to address safety issues. In researching safety culture measures, education sectors such as technical and vocational education and training (TVET) remain ambiguous. This paper describes the work undertaken to develop and evaluate the components of a preliminary research framework for assessing the maturity of safety culture in TVET institutions, i.e., polytechnics, by adapting the existing safety culture maturity (SCM) model with local guidelines documents to
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Eskew, Rhea T., Charles F. Stromeyer, and Richard E. Kronauer. "The Constancy of Equiluminant Red-Green Thresholds Examined in Two Color Spaces." In Advances in Color Vision. Optica Publishing Group, 1992. http://dx.doi.org/10.1364/acv.1992.sac2.

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Chromatic detection by the L or long-wavelength cones and M or middle-wavelength cones can be conveniently represented in the diagram shown in Fig. 1. The vertical axis represents the change in the quantal catch of the M cones, produced by a test light modulation, divided by the quantal catch in the M cones produced by all of the steady field components. The horizontal axis represents the analogous quantity for the L cones. Fig. 2 shows the simple model which justifies this representation. The cone classes adapt independently of one another before being combined into the red-green chromatic an
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Drum, Bruce, and Charles E. Sternheim. "Saturation of chromatic increments on intense achromatic backgrounds." In OSA Annual Meeting. Optica Publishing Group, 1990. http://dx.doi.org/10.1364/oam.1990.ths2.

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Drum1 measured threshold-versus-adapting-intensity (TVI) functions for chromatic increments on achromatic backgrounds. The TVI slopes became greater than unity at background levels above 4 log trolands (log td) for stimulus wavelengths across the visible spectrum. Because only one background level above 4 log td was tested, however, the detailed shapes of the curves and the full extent of the steepening could not be resolved. We now report more detailed TVI measurements at four test wavelengths (430, 490, 575, and 660 nm) and background illuminances at 0.2 log-unit intervals from 4.0 log td to
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Masat, Alessandro, Camilla Colombo, and Arnaud Boutonnet. "GPU-based Augmented Trajectory Propagation: orbital regularization interface and NVIDIA CUDA Tensor Core performance." In ESA 12th International Conference on Guidance Navigation and Control and 9th International Conference on Astrodynamics Tools and Techniques. ESA, 2023. http://dx.doi.org/10.5270/esa-gnc-icatt-2023-199.

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Several analysis tasks feature the propagation of large sets of trajectories, ranging from monitoring the space debris environment to assessing the compliance of space missions with planetary protection policies. The increasingly stringent accuracy requirements inevitably make high-fidelity analyses become more computationally intensive, easily reaching the need of propagating hundreds of thousands of trajectories for one single task. For this reason, high-performance computing (HPC) and GPU (Graphics Processing Unit) computing techniques become one of the enabling technologies that allow the
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