Gotowe bibliografie tematyczne / Average Slope Detection (ASD)

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Gotowa bibliografia na temat „Average Slope Detection (ASD)”

Autor: Grafiati

Data publikacji: 2 czerwca 2025

Data aktualizacji: 31 lipca 2025

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Artykuły w czasopismach na temat "Average Slope Detection (ASD)"

Yavanika, N., S. Vasikaran, and J. Balavishnu. "Optimizing Spectrum Sensing using Average Slope Detection and Machine Learning Techniques." International Journal of Microsystems and IoT 3, no. 1 (2025): 1473–79. https://doi.org/10.5281/zenodo.15463178.

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The cognitive radio network represents a pivotal advancement for 5G applications, countering the limitations posed by spectrum scarcity. Spectrum sensing is vital for identifying vacant spectrum bands in a network framework that comprises of Primary User (PU) and Secondary Users (SU’s). The traditional spectrum sensing scheme like Energy detection is highly sensitive to uncertainties in noise with limited sensing accuracy. To overcome this limitation a novel method, Average Slope Detection (ASD) with Cooperative Spectrum Sensing is proposed. The Cooperative Spectrum Sensing network is si

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Li, Shihao, Xiuli Jiang, Jianghai Lin, et al. "Detection and data analysis of bearing cage perpendicularity of pressed slope surface generatrix." Journal of Physics: Conference Series 2996, no. 1 (2025): 012025. https://doi.org/10.1088/1742-6596/2996/1/012025.

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Abstract In this paper, the detection method of bearing cage perpendicularity of pressed slope surface generatrix is studied. The theory of the verticality of the slope prime line is analyzed, and a corresponding experimental detection system is designed. A laser displacement sensor is used to monitor the change of distance between the roller and the sensor in real-time to indirectly reflect the verticality of the slope prime line. In the experiment, the Noise Reduction technology and the detection curve extraction method based on the Parabola principle are adopted. Finally, the average value

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Del Gaudio, V., S. Coccia, J. Wasowski, M. R. Gallipoli, and M. Mucciarelli. "Detection of directivity in seismic site response from microtremor spectral analysis." Natural Hazards and Earth System Sciences 8, no. 4 (2008): 751–62. http://dx.doi.org/10.5194/nhess-8-751-2008.

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Abstract. Recent observations have shown that slope response to seismic shaking can be characterised by directional variations of a factor of 2–3 or larger, with maxima oriented along local topography features (e.g. maximum slope direction). This phenomenon appears influenced by slope material properties and has occasionally been detected on landslide-prone slopes, where a down-slope directed amplification could enhance susceptibility to seismically-induced landsliding. The exact conditions for the occurrence of directional amplification remain still unclear and the implementation of investiga

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Huang, Yansen, Ke Yu, Ningbo Wu, and Juanjuan Chang. "Slope Shape and Edge Intelligent Recognition Technology Based on Deep Neural Sensing Network." Journal of Sensors 2022 (July 4, 2022): 1–7. http://dx.doi.org/10.1155/2022/5901803.

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In order to solve the problem that the slope surface diseases cannot be accurately identified, which cannot be repaired in time and cause serious slope disasters, a slope intelligent recognition technology based on deep neural network is proposed. Based on convolutional neural network (CNN) theory, the technology adopts the transfer learning method to solve the overfitting problem of slope surface samples, which is difficult to obtain a large number of marked samples, and verifies the proposed model by experiment. The results are as follows: the recognition results of various slope surface dis

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Yu, Anjun, Hongrui Fan, Yonghua Xiong, Longsheng Wei, and Jinhua She. "LHB-YOLOv8: An Optimized YOLOv8 Network for Complex Background Drop Stone Detection." Applied Sciences 15, no. 2 (2025): 737. https://doi.org/10.3390/app15020737.

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Real-time detection of rockfall on slopes is an essential part of a smart worksite. As a result, target detection techniques for rockfall detection have been rapidly developed. However, the complex geologic environment of slopes, special climatic conditions, and human factors pose significant challenges to this research. In this paper, we propose an enhanced high-speed slope rockfall detection method based on YOLOv8n. First, the LSKAttention mechanism is added to the backbone part to improve the model’s ability to balance the processing of global and local information, which enhances the model

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Mega Utama, Rosa. "Rancang Bangun Alat Deteksi Tanah Longsor Berbasis IoT dengan NodeMCU ESP8266 dan MPU6050." Jurnal Ilmu dan Inovasi Fisika 6, no. 2 (2022): 137–46. http://dx.doi.org/10.24198/jiif.v6i2.40054.

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Landslide is a geological process caused by the displacement of rock and soil mass. In general, landslides are caused by geographical conditions in the form of mountains and slopes as well as high rainfall which causes the soil to become unstable. This study aims to make a landslide detection tool using NodeMCU ESP8266 as a microcontroller and MPU6050 as a sensor so that it can detect the acceleration of the earth on the x, y, and z axes and the slope of the ground. This landslide detection tool is based on the Internet of Things (IoT) so that it allows the acceleration of the earth and the sl

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Ahmad, Mohd Najib, Abdul Rashid Mohamed Shariff, Ishak Aris, and Izhal Abdul Halin. "A Four Stage Image Processing Algorithm for Detecting and Counting of Bagworm, Metisa plana Walker (Lepidoptera: Psychidae)." Agriculture 11, no. 12 (2021): 1265. http://dx.doi.org/10.3390/agriculture11121265.

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The bagworm is a vicious leaf eating insect pest that threatens the oil palm plantations in Malaysia. The economic impact from defoliation of approximately 10% to 13% due to bagworm attack might cause about 33% to 40% yield loss over 2 years. Due to this, monitoring and detecting of bagworm populations in oil palm plantations is required as the preliminary steps to ensure proper planning of control actions in these areas. Hence, the development of an image processing algorithm for detection and counting of Metisa plana Walker, a species of Malaysia’s local bagworm, using image segmentation has

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Allen, Prudence, and Frederic Wightman. "Psychometric Functions for Children’s Detection of Tones in Noise." Journal of Speech, Language, and Hearing Research 37, no. 1 (1994): 205–15. http://dx.doi.org/10.1044/jshr.3701.205.

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This article reports the results of an experiment that used a two-alternative forced-choice task to measure the ability of 3- to 5-year-old children to detect 501 Hz, 1000 Hz, and 2818 Hz sinusoids in noise. Psychometric functions were fit to each individual’s data, and thresholds (signal level required for 75% correct) were interpolated from the fitted functions. Results showed that, on average, the children’s thresholds were higher and the slopes of their psychometric functions were shallower than those of the adults. However, the between-subjects variability in the children’s data was large

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Nguyen, Tam, Xiaoli Qin, Anh Dinh, and Francis Bui. "Low Resource Complexity R-peak Detection Based on Triangle Template Matching and Moving Average Filter." Sensors 19, no. 18 (2019): 3997. http://dx.doi.org/10.3390/s19183997.

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A novel R-peak detection algorithm suitable for wearable electrocardiogram (ECG) devices is proposed with four objectives: robustness to noise, low latency processing, low resource complexity, and automatic tuning of parameters. The approach is a two-pronged algorithm comprising (1) triangle template matching to accentuate the slope information of the R-peaks and (2) a single moving average filter to define a dynamic threshold for peak detection. The proposed algorithm was validated on eight ECG public databases. The obtained results not only presented good accuracy, but also low resource comp

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Hannesdóttir, Ásta, Albert Meseguer Urbán, Filip Spasov, and Antoine Larvol. "Optimum gust detection by nacelle-based lidar: A study on the Vestas V52." Journal of Physics: Conference Series 2265, no. 2 (2022): 022072. http://dx.doi.org/10.1088/1742-6596/2265/2/022072.

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Abstract In this study we use lidar measurements from a four-beam nacelle mounted lidar, together with wind turbine load measurements, to analyse events that cause extreme blade flapwise loading on the Vestas V52 at Risø campus. We define a simple gust detection algorithm that is based on fitting a linear model to the line of sight velocity measurements in order to detect changes and fluctuations in the incoming wind field. The detection algorithm is run on a whole year of measurements and we perform an iterative parameter sweep using different values for two parameters of the gust detection m

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Części książek na temat "Average Slope Detection (ASD)"

Shahzad, Naeem, Xiaoli Ding, Urooj Saeed, Xing Peng, and Hongyu Liang. "Multi-Temporal SAR Interferometry (MT-InSAR) for Identification and Monitoring of Slow-Moving Landslides in Remote and Complex Terrain." In Satellite Systems for Navigation and Geosciences [Working Title]. IntechOpen, 2025. https://doi.org/10.5772/intechopen.1010396.

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Landslide detection and mapping in remote and complex mountainous terrain is challenging, costly, and time-consuming for both disaster mitigation and land-use planning. Multi-temporal Interferometric Synthetic Aperture Radar (MT-InSAR) technologies, in this context, have emerged as powerful tools that enable the detection and tracking of subtle deformation signals associated with slow-moving landslides. In this chapter, slow-moving landslides in the remote and complex terrain of Pakistan using multi-orbit Sentinel-1 images acquired between January 2017 and December 2023 are mapped and investig

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Song, Dingan, Jing Hu, and Yangyang Li. "Research on Assisting Control and Oxygen Metabolism Testing of Rope Driven Flexible Exoskeleton." In Advances in Transdisciplinary Engineering. IOS Press, 2023. http://dx.doi.org/10.3233/atde230503.

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In order to improve the human-machine collaborative comfort and assistance comfort of rope driven flexible assisted exoskeleton robots, research is conducted on the assistance control design and assistance performance of rope driven flexible assisted exoskeleton robots. This article proposes the use of inertial measurement units (IMUs) for real-time detection of human motion posture information, and by extracting features from human motion posture information, a human motion gait switching model is used to identify the phase of the motion gait. Then, based on the gait phase recognition structu

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Osmanovic, Smajo. "Imaging." In Glaucoma. Oxford University Press, 2012. http://dx.doi.org/10.1093/oso/9780199757084.003.0010.

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•Stereoscopic optic nerve photography has been considered the gold standard for documenting the optic nerve head (ONH)/retinal nerve fiber layer (RNFL) status. •Digital imaging technologies were developed recently to provide reproducible and more objective quantitative assessment of the ONH and RNFL. •Each technology measures different aspects of ONH and RNFL morphology; information obtained from different imaging devices is complementary and can be used to detect different abnormal features in the same patient. •Possible roles of ONH/RNFL imaging in clinical practice: •Documentation of ONH st

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Streszczenia konferencji na temat "Average Slope Detection (ASD)"

Hässig Fonseca, Santiago, Pierre Ramondenc, and Nestor Molero. "Downhole Target Milling Characterization Coupled with Cumulative Sum Event Detection Algorithm Accelerates Automation of Coiled Tubing Operations." In SPE/ICoTA Well Intervention Conference and Exhibition. SPE, 2023. http://dx.doi.org/10.2118/212914-ms.

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Abstract Real-time downhole data from coiled tubing (CT) milling operations improved performance metrics including rate of penetration (ROP) and stall rates. Those data enabled new diagnostics such as detection of milling target interfaces. At the same time, characterization of milling targets improves detection of interfaces between two contiguous milling targets and enables real-time diagnostics of the milling motor, bit, and target. These new capabilities enable more cost-effective operations and automation. The torque and applied thrust relationship provides a means of characterizing the m

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Horejs, Frantisek, Martin Cisler, Libor Matyas, and Michal Strnad. "Influence of disc cultivator design on soil particle displacement." In 23rd International Scientific Conference Engineering for Rural Development. Latvia University of Life Sciences and Technologies, Faculty of Engineering and Information Technologies, 2024. http://dx.doi.org/10.22616/erdev.2024.23.tf163.

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The aim of this research is to assess the influence of the design of disc cultivators on the displacement of soil particles. A disc cultivator with X-shaped rows of working tools and a disc cultivator with parallel rows of working tools are evaluated. Both of these machines are evaluated when working at three different slope levels of 2°,6°,11°. The method used for detection of particle displacement was a modification of the tracer method. Tracers used for this experiment were aluminium cubes with an edge length of 16 mm. Forty cubes were used for one measurement, they were placed in two layer

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Theriault, Bailey, Christopher Markley, and Tara Metzger. "A Deep Dive Into the Use of LiDAR Change Detection Analysis for Regional Landslide Monitoring in the Appalachian Basin Region of the US." In 2022 14th International Pipeline Conference. American Society of Mechanical Engineers, 2022. http://dx.doi.org/10.1115/ipc2022-86790.

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Abstract This paper will provide an overview of a monitoring approach that has proven critical for the long-term monitoring and assessment of high-density landslide areas along pipelines at a regional or system-wide scale: the use of repeat Light Detection and Ranging (LiDAR) surveys (i.e., LiDAR Change Detection Analysis). The strength of using LiDAR is the ability to “see” through trees and vegetation and produce a bare earth digital elevation model of a given slope. As such, LiDAR is one of the most powerful tools for identifying landslides where tree cover is present, such as in the Appala

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Takumi, Kuno, Kazunori Kaede, and Keiichi Watanuki. "Evaluation of Driver Overconfidence in Automotive Driving Using Physiological Data." In 16th International Conference on Applied Human Factors and Ergonomics (AHFE 2025). AHFE International, 2025. https://doi.org/10.54941/ahfe1006056.

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This research aims to explore a method for the real-time evaluation of overconfidence during car driving. Overconfidence can lead to dangerous driving behaviors, making real-time detection crucial to reduce traffic accidents. In this study, a driving simulation environment was created using virtual reality (VR), and a right-turning scenario was used to encourage overconfidence during the experiment. The driving behavior data (accelerator, brake, and steering), physiological data (skin conductance and electrocardiogram (ECG)), and driving footage were recorded simultaneously. Overconfidence was

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Palliyali, Abdul Jaleel, Reza Tafreshi, Nasreen Mohsin, and Leyla Tafreshi. "A Comprehensive Algorithm for the Analysis of ECG Waveforms." In ASME 2012 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2012. http://dx.doi.org/10.1115/imece2012-87553.

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This paper presents a comprehensive approach for the detailed analysis of ECG waveforms including various morphologies to aid clinical diagnosis. Clinical judgment is often based on observing various features which may occur simultaneously on the ECG. Thus, to automate diagnosis, a comprehensive tool capable of detecting all these features is required. Parabolic curve fitting, adaptive thresholds and synchronicity across leads are utilized to detect the various waves of the QRS complex namely Q,R,S,R’ and S’. Onset of the QRS complex and the J point are detected using a ‘modified second deriva

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Srivastava, Priyank, Sarang Bhide, and Anil Kumar. "Time Lapse Pressure Transient Analysis ForWells Near Edge Water Drive." In GOTECH. SPE, 2025. https://doi.org/10.2118/224730-ms.

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Abstract Uncertainties of aquifer size/strength in a field simulation study often results in a poor match for prediction of water breakthrough at wells which in field context can lead to irreversible loss of production and lack of preparation time for associated field planning. Additionally, the pressure transient analysis (PTA) data can be interpreted inaccurately before and after the water breakthrough at wells. It is known that time-lapse PTA can be used for estimation of reservoir flow capacity and detection of fluid contact movements. This paper deals with investigations of extended PTA t

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Bates, Neil, Mark Brimacombe, and Steven Polasik. "Development and Experiences of a Circumferential Stress Corrosion Crack Management Program." In 2018 12th International Pipeline Conference. American Society of Mechanical Engineers, 2018. http://dx.doi.org/10.1115/ipc2018-78315.

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A pipeline operator set out to assess the risk of circumferential stress corrosion cracking and to develop a proactive management program, which included an in-line inspection and repair program. The first step was to screen the total pipeline inventory based on pipe properties and environmental factors to develop a susceptibility assessment. When a pipeline was found to be susceptible, an inspection plan was developed which often included ultrasonic circumferential crack detection in-line inspection and geotechnical analysis of slopes. Next, a methodology was developed to prioritize the anoma

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Li, Congcong, Lijun Zhang, and Dejian Meng. "A Two-stage Ground Segmentation and Multi-frame Point Clouds Based Road Boundary Extraction Algorithm." In FISITA World Congress 2021. FISITA, 2021. http://dx.doi.org/10.46720/f2021-dgt-043.

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Lidar based perceptual system is an important aspect of autonomous driving. In this paper we focus on ground segmentation and road boundary extraction in point cloud. In order to solve the problem that most of the current ground segmentation algorithms can not make full use of the data information, which leads to poor segmentation results on complex roads (such as slopes and undulating roads), this paper presents a two-stage ground segmentation algorithm that combines the Cloth Simulation Filtering (CSF) algorithm and the 2.5D grid map method. In the first stage, CSF is applied to filter out m

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