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Journal articles on the topic 'Average Slope Detection (ASD)'

Author: Grafiati

Published: 2 June 2025

Last updated: 31 July 2025

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1

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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2

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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Li, Na, Yilong Zhang, Qing Zhang, and Shaoguang Zhu. "Transfer Learning Model for Crack Detection in Side SlopesBased on Crack-Net." Applied Sciences 15, no. 13 (2025): 6951. https://doi.org/10.3390/app15136951.

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Accurate detection of slope cracks plays a crucial role in early landslide disaster warning; however, traditional approaches often struggle to identify fine and irregular cracks. This study introduces a novel deep learning model, Crack-Net, which leverages a multi-modal feature fusion mechanism and is developed using transfer learning. To resolve the blurred representation of small-scale cracks, a nonlinear frequency-domain mapping module is employed to decouple amplitude and phase information, while a cross-domain attention mechanism facilitates adaptive feature fusion. In addition, a deep fe

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Chirkov, Valerii, Anna Kryuchkova, Alexandra Koptelova, et al. "Data-driven approach for the delineation of the irritative zone in epilepsy in MEG." PLOS ONE 17, no. 10 (2022): e0275063. http://dx.doi.org/10.1371/journal.pone.0275063.

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The reliable identification of the irritative zone (IZ) is a prerequisite for the correct clinical evaluation of medically refractory patients affected by epilepsy. Given the complexity of MEG data, visual analysis of epileptiform neurophysiological activity is highly time consuming and might leave clinically relevant information undetected. We recorded and analyzed the interictal activity from seven patients affected by epilepsy (Vectorview Neuromag), who successfully underwent epilepsy surgery (Engel > = II). We visually marked and localized characteristic epileptiform activity (VIS). We

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Hidayah, Qonitatul, Umi Salamah, and Yuda Wiges Pratama. "Simulation of Land Movement Detection System Using Accelerometer Sensors and Fiber Optic." Jurnal Penelitian Fisika dan Aplikasinya (JPFA) 12, no. 1 (2022): 24–33. http://dx.doi.org/10.26740/jpfa.v12n1.p24-33.

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Indonesia’s geographical conditions are one of the causes of land movement. This land movement can occur due to the movement of rock masses, soil, or debris material making up the slopes. The stability of a slope is influenced by several parameters such as material, soil strength, slope angle, climate, vegetation, and time. In Indonesia, land movement disasters are placed the third rank of natural disasters that occurred throughout 2021. Thus, the development of a land movement detection system is very important for monitoring land movement disasters. In this research, a land movement detectio

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14

Umar, Nuraeni, Syafruddin Syarif, Dewiani Dewiani, and Merna Baharuddin. "Internet of things and long range-based bridge slope early detection systems." International Journal of Reconfigurable and Embedded Systems (IJRES) 13, no. 3 (2024): 674. http://dx.doi.org/10.11591/ijres.v13.i3.pp674-680.

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<p><span>This research proposes an internet of things and long range (LoRa)-based bridge slope status monitoring and warning system that is wireless, low-cost, and user-friendly, with continuous data sent. Bridge inspection officers can easily obtain bridge slope data via a web browser on a cell phone. The design uses Arduino integrated development environment software and an ITGMPU accelerometer sensors, TTGO ESP32, cellphones, successfully identified tilt angle variations from 0.11° to 15.2° were the research's outputs, and and they were continuously transmitted to the bridge ins

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Frossard, Laurent, Michael W. M. Jones, Ian Stewart, Peter A. Leggat, Michael Schuetz, and Christian Langton. "Kinetics of Lower Limb Prosthesis: Automated Detection of Vertical Loading Rate." Prosthesis 1, no. 1 (2019): 16–28. http://dx.doi.org/10.3390/prosthesis1010004.

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Vertical loading rate could be associated with residuum and whole body injuries affecting individuals fitted with transtibial prostheses. The objective of this study was to outline one out of five automated methods of extraction of vertical loading rate that stacked up the best against manual detection, which is considered the gold standard during pseudo-prosthetic gait. The load applied on the long axis of the leg of three males was recorded using a transducer fitted between a prosthetic foot and physiotherapy boot while walking on a treadmill for circa 30 min. The automated method of extract

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16

Hood, J. L., and M. Hayashi. "Assessing the application of a laser rangefinder for determining snow depth in inaccessible alpine terrain." Hydrology and Earth System Sciences Discussions 7, no. 1 (2010): 417–40. http://dx.doi.org/10.5194/hessd-7-417-2010.

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Abstract. Snow is a major contributor to stream flow in alpine watersheds and quantifying snow depth and distribution is important for hydrological research. However, direct measurement of snow in rugged alpine terrain is often impossible due to avalanche and rock fall hazard. A laser rangefinder was used to determine the depth of snow in inaccessible areas. Laser rangefinders use ground based light detection and ranging technology but are more cost effective than airborne surveys or terrestrial laser scanning systems and are highly portable. Data was collected within the Opabin watershed in t

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Hood, J. L., and M. Hayashi. "Assessing the application of a laser rangefinder for determining snow depth in inaccessible alpine terrain." Hydrology and Earth System Sciences 14, no. 6 (2010): 901–10. http://dx.doi.org/10.5194/hess-14-901-2010.

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Abstract. Snow is a major contributor to stream flow in alpine watersheds and quantifying snow depth and distribution is important for hydrological research. However, direct measurement of snow in rugged alpine terrain is often impossible due to avalanche and rock fall hazard. A laser rangefinder was used to determine the depth of snow in inaccessible areas. Laser rangefinders use ground based light detection and ranging technology but are more cost effective than airborne surveys or terrestrial laser scanning systems and are highly portable. Data were collected within the Opabin watershed in

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18

Li, Jiangfeng, Lina Stankovic, Vladimir Stankovic, Stella Pytharouli, Cheng Yang, and Qingjiang Shi. "Graph-Based Feature Weight Optimisation and Classification of Continuous Seismic Sensor Array Recordings." Sensors 23, no. 1 (2022): 243. http://dx.doi.org/10.3390/s23010243.

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Slope instabilities caused by heavy rainfall, man-made activity or earthquakes can be characterised by seismic events. To minimise mortality and infrastructure damage, a good understanding of seismic signal properties characterising slope failures is therefore crucial to classify seismic events recorded from continuous recordings effectively. However, there are limited contributions towards understanding the importance of feature selection for the classification of seismic signals from continuous noisy recordings from multiple channels/sensors. This paper first proposes a novel multi-channel e

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Gong, Hanying, Zehao Yu, Shiqiang Zhang, and Gang Zhou. "Detection of Wet Snow by Weakly Supervised Deep Learning Change Detection Algorithm with Sentinel-1 Data." Remote Sensing 16, no. 19 (2024): 3575. http://dx.doi.org/10.3390/rs16193575.

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The snowmelt process plays a crucial role in hydrological forecasting, climate change, disaster management, and other related fields. Accurate detection of wet snow distribution and its changes is essential for understanding and modeling the snow melting process. To address the limitations of conventional fixed-threshold methods, which suffer from poor adaptability and significant interference from scattering noise, we propose a weakly supervised deep learning change detection algorithm with Sentinel-1 multi-temporal data. This algorithm incorporates the Multi-Region Convolution Module (MRC) t

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Peng, Tian, Chu Zhang, and Jianzhong Zhou. "Intra- and Inter-Annual Variability of Hydrometeorological Variables in the Jinsha River Basin, Southwest China." Sustainability 11, no. 19 (2019): 5142. http://dx.doi.org/10.3390/su11195142.

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In this study, the intra- and inter-annual variability of three major elements in the water system, temperature, precipitation and streamflow, from 1974 to 2010 in the Jinsha River Basin, China, were analyzed. An exploratory data analysis method, namely, moving average over shifting horizon (MASH), was introduced and combined with the Mann–Kendall (MK) test and Sen’s slope estimation to analyze the intra- and inter-annual variations. The combination of MASH with the MK test and Sen’s slope estimation demonstrated that the annual temperature, precipitation and streamflow from 1974 to 2010 showe

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Nguyen, H. T., T. M. Fernandez-Steeger, T. Wiatr, D. Rodrigues, and R. Azzam. "Use of terrestrial laser scanning for engineering geological applications on volcanic rock slopes – an example from Madeira island (Portugal)." Natural Hazards and Earth System Sciences 11, no. 3 (2011): 807–17. http://dx.doi.org/10.5194/nhess-11-807-2011.

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Abstract. This study focuses on the adoption of a modern, widely-used Terrestrial Laser Scanner (TLS) application to investigate volcanic rock slopes in Ribeira de João Gomes valley (Funchal, Madeira island). The TLS data acquisition in May and December 2008 provided information for a characterization of the volcanic environment, detailed structural analysis and detection of potentially unstable rock masses on a slope. Using this information, it was possible to determine specific parameters for numerical rockfall simulations such as average block size, shape or potential sources. By including

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Zhu, Zhi Ming. "Real-Time Detection and Control of Torch-Height in Waveform Controlled Short-Circuit CO₂ Arc Welding." Materials Science Forum 580-582 (June 2008): 427–30. http://dx.doi.org/10.4028/www.scientific.net/msf.580-582.427.

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The waveform controlled short-circuit CO2 arc welding has been developed and applied in industries widely. To guarantee its process stability and weld quality in automatic applications further, the torch-height, the distance from torch to workpiece, which may be altered by the welding distortion and assembling errors of joints, is detected via measuring the wire electrode extension during the metaphase of short-circuit and then controlled. The acquired data is filtered by rule-based fuzzy algorithm and/or shift-average method. The experimental results, validated by slope and lap-joint welding,

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Norsuzila Ya’acob, Amirul Asraf Abdul Rahman, Azita Laily Yusof, Darmawaty Mohd Ali, and Nani Fadzlina Naim. "Landslide Detection Using Analysed UAV Imagery." Journal of Advanced Research in Applied Sciences and Engineering Technology 45, no. 1 (2024): 168–88. http://dx.doi.org/10.37934/araset.45.1.168188.

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Landslide is one of the disasters that often occur in Malaysia. It causes thousands of injuries and death records. Plus, a lot of money has been spent on search and rescue purposes and upgrading utilities to prevent landslide occurrence. Malaysia’s climate, categorized as equatorial, is hot and humid throughout the year. Malaysia has been exposed to an average rainfall of 250cm in a year as rainfall has been the main contributor to landslide occurrence. Thus, an early warning system can be convenient to reduce the hazard risk. This research used Unmanned Aerial Vehicles (UAVs) or drones embedd

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Chen, Chien-Yuan, and Zheng-Sheng Jiang. "Application of Thermal Images for Determining the Vegetation Coverage Ratio at Free-Frame Shotcrete Grid Beam Protected Slope." MATEC Web of Conferences 206 (2018): 04003. http://dx.doi.org/10.1051/matecconf/201820604003.

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In this study, infrared thermography was used to determine the vegetation coverage ratio (VCR) at a free-frame shotcrete grid beam-protected slope. An infrared thermal imager can detect the changes in surface radiation temperature on naked and vegetation-covered slope areas. Regional temperature analysis was performed through thermography, and the average temperature derived from the captured thermal images was used as the index for the vegetation area; the VCR was also evaluated. This method can be used in engineering practice after construction to reduce the errors in subjective visual judgm

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Ch.Sarada, Ch Sarada, K. Vijaya Lakshmi, and M. Padmavathamma. "MLO Mammogram Pectoral Masking with Ensemble of MSER and Slope Edge Detection and Extensive Pre-Processing." International Journal on Recent and Innovation Trends in Computing and Communication 11, no. 3 (2023): 135–44. http://dx.doi.org/10.17762/ijritcc.v11i3.6330.

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Breast Cancer is a fatal disease. Several people are losing their lives as a result of Breast Cancer. Mammography is the most often used Breast screening modality where we can see both mass and microcalcifications and both are the two major indicators of Breast Cancer. We can see Pectoral muscle also on MLO Mammograms. Digital Image Processing based computer aided diagnosis systems are being used widely to help the radiologist in detecting mass and microcalcifications in MLO Mammograms. However, because the intensity levels of the Pectoral muscle are similar to masses, in computer aided diagno

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Taube, Janis M., Kristin Roman, Elizabeth L. Engle, et al. "Multi-institutional TSA-amplified Multiplexed Immunofluorescence Reproducibility Evaluation (MITRE) Study." Journal for ImmunoTherapy of Cancer 9, no. 7 (2021): e002197. http://dx.doi.org/10.1136/jitc-2020-002197.

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BackgroundEmerging data suggest predictive biomarkers based on the spatial arrangement of cells or coexpression patterns in tissue sections will play an important role in precision immuno-oncology. Multiplexed immunofluorescence (mIF) is ideally suited to such assessments. Standardization and validation of an end-to-end workflow that supports multisite trials and clinical laboratory processes are vital. Six institutions collaborated to: (1) optimize an automated six-plex assay focused on the PD-1/PD-L1 axis, (2) assess intersite and intrasite reproducibility of staining using a locked down ima

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Rossi, Fernando, Johannes Breidenbach, Stefano Puliti, Rasmus Astrup, and Bruce Talbot. "Assessing Harvested Sites in a Forested Boreal Mountain Catchment through Global Forest Watch." Remote Sensing 11, no. 5 (2019): 543. http://dx.doi.org/10.3390/rs11050543.

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Global Forest Watch (GFW) provides a global map of annual forest cover loss (FCL) produced from Landsat imagery, offering a potentially powerful tool for monitoring changes in forest cover. In managed forests, FCL primarily provides information on commercial harvesting. A semi-autonomous method for providing data on the location and attributes of harvested sites at a landscape level was developed which could significantly improve the basis for catchment management, including risk mitigation. FCL in combination with aerial images was used for detecting and characterising harvested sites in a 16

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Liu, Xinlong, Weimin Huang, and Eric W. Gill. "Wave Height Estimation from Shipborne X-Band Nautical Radar Images." Journal of Sensors 2016 (2016): 1–7. http://dx.doi.org/10.1155/2016/1078053.

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A shadowing-analysis-based algorithm is modified to estimate significant wave height from shipborne X-band nautical radar images. Shadowed areas are first extracted from the image through edge detection. Smith’s function fit is then applied to illumination ratios to derive the root mean square (RMS) surface slope. From the RMS surface slope and the mean wave period, the significant wave height is estimated. A data quality control process is implemented to exclude rain-contaminated and low-backscatter images. A smoothing scheme is applied to the gray scale intensity histogram of edge pixels to

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Mun, Seong Il, Young Ho Ko, Ji Hun Park, and Heon Jin Park. "Anomaly Detection of Cruise Phase Altitude Break Away using MARS and PAM." Korean Data Analysis Society 25, no. 1 (2023): 63–78. http://dx.doi.org/10.37727/jkdas.2022.25.1.63.

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Recently, methods for analyzing and detecting precursor signs of aviation accidents through navigation data have been studied. However, most of the studies are limited to the takeoff and landing stages, and there are no rules specifying the cruise stage, so the cruise stage search studies are rare. At this stage, break away according to altitude and path rather than speed occur, and in this paper, we try to detect break away in altitude of cruise stage by clustering method. In the ADS-B flight data received from January to December 2019, 10% of flights from Jeju Airport to Gimpo Airport, the m

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Zhang, Xueling, Alimujiang Kasimu, Hongwu Liang, Bohao Wei, and Yimuranzi Aizizi. "Spatial and Temporal Variation of Land Surface Temperature and Its Spatially Heterogeneous Response in the Urban Agglomeration on the Northern Slopes of the Tianshan Mountains, Northwest China." International Journal of Environmental Research and Public Health 19, no. 20 (2022): 13067. http://dx.doi.org/10.3390/ijerph192013067.

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An in-depth study of the influence mechanism of oasis land surface temperature (LST) in arid regions is essential to promote the stable development of the ecological environment in dry areas. Based on MODIS, MYD11A2 long time series data from 2003 to 2020, the Mann–Kendall nonparametric test, the Sen slope, combined with the Hurst index, were used to analyze and predict the trend of LST changes in the urban agglomeration on the northern slopes of the Tianshan Mountains. This paper selected nine influencing factors of the slope, aspect, air temperature, normalized vegetation index (NDVI), preci

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Anzai, Akiyuki, Marcus A. Bearse, Ralph D. Freeman, and Daqing Cai. "Contrast coding by cells in the cat's striate cortex: Monocular vs. binocular detection." Visual Neuroscience 12, no. 1 (1995): 77–93. http://dx.doi.org/10.1017/s0952523800007331.

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AbstractMany psychophysical studies of various visual tasks show that performance is generally better for binocular than for monocular observation. To investigate the physiological basis of this binocular advantage, we have recorded, under monocular and binocular stimulation, contrast response functions for single cells in the striate cortex of anesthetized and paralyzed cats. We applied receiver operating characteristic analysis to our data to obtain monocular and binocular neurometric functions for each cell. A contrast threshold and a slope were extracted from each neurometric function and

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Walcott, R. R., D. C. McGee, and M. K. Misra. "Detection of Asymptomatic Fungal Infections of Soybean Seeds by Ultrasound Analysis." Plant Disease 82, no. 5 (1998): 584–89. http://dx.doi.org/10.1094/pdis.1998.82.5.584.

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Different levels of asymptomatic, seed-borne infection by storage fungi (Aspergillus and Penicillium spp.) or Phomopsis seed decay (PSD) (Phomopsis longicolla, Diaporthe phaseolorum var. sojae, and D. phaseolorum var. caulivora) were induced in sub-lots of separate soybean seed lots by incubation of seeds or pods, respectively, for different times at 25°C and at a relative humidity >95%. Seeds were then air-dried to a constant moisture content in the laboratory atmosphere, and each sub-lot was tested for incidence of infection, germination, and moisture content. Individual seeds in each sub

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Kögler, Laura, Andreas Ruby, Thomas Iserloh, Manuel Seeger, and Johannes B. Ries. "Laboratory flume experiments for detection and quantification of subsurface particle transport in steep-slope vineyards." Journal of Hydrology and Hydromechanics 73, no. 1 (2025): 1–10. https://doi.org/10.2478/johh-2024-0031.

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Abstract Coarse-grained vineyard soils like in the Moselle valley, Germany, can be highly vulnerable to soil erosion. This is due to the non-sustainable soil management using heavy machinery and eliminating the vegetation cover on steep slopes. Through the particular combination of compacted subsoil and topsoil loosened by tillage, the vineyard experiences subsurface runoff after rainfall events. There is a knowledge gap concerning the identification and quantification of transported soil particles in the aforementioned subsurface runoff, as these processes are difficult to accurately measure

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Virdee, Pradeep S., Julietta Patnick, Peter Watkinson, Tim Holt, and Jacqueline Birks. "Full Blood Count Trends for Colorectal Cancer Detection in Primary Care: Development and Validation of a Dynamic Prediction Model." Cancers 14, no. 19 (2022): 4779. http://dx.doi.org/10.3390/cancers14194779.

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Colorectal cancer has low survival rates when late-stage, so earlier detection is important. The full blood count (FBC) is a common blood test performed in primary care. Relevant trends in repeated FBCs are related to colorectal cancer presence. We developed and internally validated dynamic prediction models utilising trends for early detection. We performed a cohort study. Sex-stratified multivariate joint models included age at baseline (most recent FBC) and simultaneous trends over historical haemoglobin, mean corpuscular volume (MCV), and platelet measurements up to baseline FBC for two-ye

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Wang, Jinzhi, Xiuhua Li, Yonghua Zhou, Huaihai Wang, and Minzan Li. "Banana Pseudostem Width Detection Based on Kinect V2 Depth Sensor." Computational Intelligence and Neuroscience 2022 (September 27, 2022): 1–10. http://dx.doi.org/10.1155/2022/3083647.

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This study used Kinect V2 sensor to collect the three-dimensional point cloud data of banana pseudostem and developed an automatic measurement method of banana pseudostem width. The banana plant was selected as the research object in a banana plantation in Fusui, Guangxi. The mobile measurement of banana pseudostem was carried out at a distance of 1 m from the banana plant using the field operation platform with Kinect V2 as the collection equipment. To eliminate the background data and improve the processing speed, a cascade classifier was used to recognize banana pseudostems from the depth i

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Araujo, Thabatta Moreira Alves de, Carlos André de Mattos Teixeira, and Carlos Renato Lisboa Francês. "Enhancing geotechnical damage detection with deep learning: a convolutional neural network approach." PeerJ Computer Science 10 (August 12, 2024): e2052. http://dx.doi.org/10.7717/peerj-cs.2052.

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Most natural disasters result from geodynamic events such as landslides and slope collapse. These failures cause catastrophes that directly impact the environment and cause financial and human losses. Visual inspection is the primary method for detecting failures in geotechnical structures, but on-site visits can be risky due to unstable soil. In addition, the body design and hostile and remote installation conditions make monitoring these structures inviable. When a fast and secure evaluation is required, analysis by computational methods becomes feasible. In this study, a convolutional neura

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Cai, Shangshu, Xinlian Liang, and Sisi Yu. "A Progressive Plane Detection Filtering Method for Airborne LiDAR Data in Forested Landscapes." Forests 14, no. 3 (2023): 498. http://dx.doi.org/10.3390/f14030498.

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Ground filtering is necessary in processing airborne light detection and ranging (LiDAR) point clouds for forestry applications. This study proposes a progressive plane detection filtering (PPDF) method. First, the method uses multi-scale planes to characterize terrain, i.e., the local terrain with large slope variations is represented by small-scale planes, and vice versa. The planes are detected in local point clouds by the random sample consensus method with decreasing plane sizes. The reliability of the planes to represent local terrain is evaluated and the planes with optimal sizes are se

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Wang, Tingyu, Zhiyi Wang, Yongqiang Yang, Xiaotao Mi, Yunzan Ti, and Jianli Wang. "A Differential Confocal Sensor for Simultaneous Position and Slope Acquisitions Based on a Zero-Crossing Prediction Algorithm." Sensors 23, no. 3 (2023): 1453. http://dx.doi.org/10.3390/s23031453.

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A new sensor type is proposed to accurately detect the surface profiles of three-dimensional (3D) free-form surfaces. This sensor is based on the single-exposure, zero-crossing method and is used to measure position and angle simultaneously. First, the field intensity distribution in the posterior focal plane of the confocal microscope’s objective was modeled accurately. Second, because the camera needs to trigger acquisition when the surface (to be measured) reaches the focal position of the sensor, a zero-crossing prediction method based on a sliding window was proposed. Third, a fast, spati

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Cao, Dingfeng, Hongyuan Fang, Fuming Wang, Honghu Zhu, and Mengya Sun. "A Fiber Bragg-Grating-Based Miniature Sensor for the Fast Detection of Soil Moisture Profiles in Highway Slopes and Subgrades." Sensors 18, no. 12 (2018): 4431. http://dx.doi.org/10.3390/s18124431.

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A fiber Bragg grating (FBG)-based aluminum oxide tube packed sensor (ATPS) was developed for the fast detection of the soil moisture profile in highway slopes and subgrades. The novel ATPS consists of an aluminum oxide tube with a diameter of 5 mm, an optical fiber containing a quasi-distributed FBG sensors, a “U”-shaped resistance wire, and a flange. There are four 0.9-mm diameter holes in the ATPS. Laboratory experiments were carried out to calibrate the relationship between the thermal response of ATPS and the soil moisture content. Two laboratory rainfall validation model tests were perfor

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Vu, Huong, Felipe Gomez, Pierre Cherelle, Dirk Lefeber, Ann Nowé, and Bram Vanderborght. "ED-FNN: A New Deep Learning Algorithm to Detect Percentage of the Gait Cycle for Powered Prostheses." Sensors 18, no. 7 (2018): 2389. http://dx.doi.org/10.3390/s18072389.

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Throughout the last decade, a whole new generation of powered transtibial prostheses and exoskeletons has been developed. However, these technologies are limited by a gait phase detection which controls the wearable device as a function of the activities of the wearer. Consequently, gait phase detection is considered to be of great importance, as achieving high detection accuracy will produce a more precise, stable, and safe rehabilitation device. In this paper, we propose a novel gait percent detection algorithm that can predict a full gait cycle discretised within a 1% interval. We called th

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Nikolova, Valentina, Veselina Gospodinova, and Asparuh Kamburov. "Assessment of Unmanned Aerial System Flight Plans for Data Acquisition from Erosional Terrain." Geosciences 14, no. 3 (2024): 75. http://dx.doi.org/10.3390/geosciences14030075.

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Accurate data mapping and visualization are of crucial importance for the detection and monitoring of slope morphodynamics, including erosion processes and studying small erosional landforms (rills and gullies). The purpose of the current research is to examine how the flight geometry of unmanned aerial systems (UASs) could affect the accuracy of photogrammetric processing products, concerning small erosion landforms that are a result of slope wash and temporary small streams formed by rain. In October 2021, three UAS flights with a different geometry were carried out in a hilly to a low-mount

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Mustafa, Jawed, Faez Qahtani, Khalid Umar, Hasan M. H. Muhaisen, M. M. Abdullah, and Mohammad Luqman. "Copper (II) Ion Detection in Food and Water Harnessing Schiff Base-Enabled Electrochemical Sensor." Science of Advanced Materials 16, no. 6 (2024): 690–700. http://dx.doi.org/10.1166/sam.2024.4673.

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A copper (II) ion-selective sensor was generated using a processed membrane that included 4-(2-(2,4-Dinitrophenylhydrazono) Methyl)Benzene-1,3-diol (L). The sensor’s efficacy was tested using a variety of plasticizers, comprising sodium tetraphenylborate (NaTPB), O-Nitrophenyloctyl ether (ONPOE), benzyl acetate (BA), dibutyl phthalate (DBP), and dibutyl sebacate (DBS). Membrane layers comprised of L:DBS:OA:PVC in a ratio of 5:55:10:30 (w/w,%) provided optimum sensing effectiveness. The detection system performed well in an average concentration that ranged from 5.3×10−8 to 1.0×10−1 mol L−1, wi

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Li, Changbin, Yuanshang Wang, Jia Wang, and Xiaohong Wang. "Properties of a Novel Salmonella Phage L66 and Its Application Based on Electrochemical Sensor-Combined AuNPs to Detect Salmonella." Foods 11, no. 18 (2022): 2836. http://dx.doi.org/10.3390/foods11182836.

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Salmonella is widespread in nature and poses a significant threat to human health and safety. Phage is considered as a new tool for the control of food-borne pathogens. In this study, Salmonella phage L66 (phage L66) was isolated from sewage by using Salmonella Typhimurium ATCC 14028 as the host bacterium, and its basic properties were obtained by biological and bioinformatics analysis. Phage L66 had a broad host spectrum, with an optimal infection complex of 0.1 and an optimal adsorption rate of 90.06%. It also exhibited thermal stability between 30 °C~60 °C and pH stability pH from 3 to 12,

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Andersen, Mikkel Skovgaard, Áron Gergely, Zyad Al-Hamdani, Frank Steinbacher, Laurids Rolighed Larsen, and Verner Brandbyge Ernstsen. "Processing and performance of topobathymetric lidar data for geomorphometric and morphological classification in a high-energy tidal environment." Hydrology and Earth System Sciences 21, no. 1 (2017): 43–63. http://dx.doi.org/10.5194/hess-21-43-2017.

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Abstract. The transition zone between land and water is difficult to map with conventional geophysical systems due to shallow water depth and often challenging environmental conditions. The emerging technology of airborne topobathymetric light detection and ranging (lidar) is capable of providing both topographic and bathymetric elevation information, using only a single green laser, resulting in a seamless coverage of the land–water transition zone. However, there is no transparent and reproducible method for processing green topobathymetric lidar data into a digital elevation model (DEM). Th

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Sharifi, Sohrab, Michael T. Hendry, Renato Macciotta, and Trevor Evans. "Evaluation of filtering methods for use on high-frequency measurements of landslide displacements." Natural Hazards and Earth System Sciences 22, no. 2 (2022): 411–30. http://dx.doi.org/10.5194/nhess-22-411-2022.

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Abstract. Displacement monitoring is a critical control for risks associated with potentially sudden slope failures. Instrument measurements are, however, obscured by the presence of scatter. Data filtering methods aim to reduce the scatter and therefore enhance the performance of early warning systems (EWSs). The effectiveness of EWSs depends on the lag time between the onset of acceleration and its detection by the monitoring system such that a timely warning is issued for the implementation of consequence mitigation strategies. This paper evaluates the performance of three filtering methods

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Li, Weijie, Jintao Zhu, Kaicheng Mu, Wenwei Yang, Xue Zhang, and Xuefeng Zhao. "Experimental Investigation of Concrete Crack Depth Detection Using a Novel Piezoelectric Transducer and Improved AIC Algorithm." Buildings 14, no. 12 (2024): 3939. https://doi.org/10.3390/buildings14123939.

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Ultrasonic pulse velocity (UPV) has shown effectiveness in determining the depth of surface-open cracks in concrete structures. The type of transducer and the algorithm for extracting the arrival time of the ultrasonic signal significantly impact the accuracy of crack depth detection. To reduce the energy loss in piezoceramic-based sensors, a high-performance piezoceramic-enabled smart aggregate (SA) was employed as the ultrasonic transducer. For the extraction of ultrasonic signal arrival time in concrete, a novel characteristic equation was proposed, utilizing the slope of the signal within

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Alderson, L., J. Kirk, M. López-Morales, et al. "LRG-BEASTS: ground-based detection of sodium and a steep optical slope in the atmosphere of the highly inflated hot-saturn WASP-21b." Monthly Notices of the Royal Astronomical Society 497, no. 4 (2020): 5182–202. http://dx.doi.org/10.1093/mnras/staa2315.

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ABSTRACT We present the optical transmission spectrum of the highly inflated Saturn-mass exoplanet WASP-21b, using three transits obtained with the ACAM instrument on the William Herschel Telescope through the LRG-BEASTS survey (Low Resolution Ground-Based Exoplanet Atmosphere Survey using Transmission Spectroscopy). Our transmission spectrum covers a wavelength range of 4635–9000 Å, achieving an average transit depth precision of 197 ppm compared to one atmospheric scale height at 246 ppm. We detect Na i absorption in a bin width of 30 Å at &gt;4σ confidence, which extends over 100 Å. We

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Feng, Liang, Veronica Pazzi, Emanuele Intrieri, Teresa Gracchi, and Giovanni Gigli. "Joint detection and classification of rockfalls in a microseismic monitoring network." Geophysical Journal International 222, no. 3 (2020): 2108–20. http://dx.doi.org/10.1093/gji/ggaa287.

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SUMMARY A rockfall (RF) is a ubiquitous geohazard that is difficult to monitor or predict and poses a significant risk for people and transportation in several hilly and mountainous environments. The seismic signal generated by RF carries abundant physical and mechanical information. Thus, signals can be used by researchers to reconstruct the event location, onset time, volume and trajectory, and develop an efficient early warning system. Therefore, the precise automatic detection and classification of RF events are important objectives for scientists, especially in seismic monitoring arrays.

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Wang, Zhiyi, Tingyu Wang, Yongqiang Yang, Xiaotao Mi, and Jianli Wang. "Zero crossing detection algorithm based on an MLP neural network for differential confocal microscopy." Journal of Physics: Conference Series 2704, no. 1 (2024): 012019. http://dx.doi.org/10.1088/1742-6596/2704/1/012019.

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Abstract Differential confocal microscopy is widely used because of its ultra-high axial resolution. The surface gradient results in light loss, which decreases the slope of the differential response signal at zero crossing. At this point, when the signal-to-noise ratio is fixed, the traditional linear fitting method to determine the position of zero crossing is subject to significant error influence. To solve these issues, this paper proposes a zero crossing detection algorithm based on a multilayer perceptron (MLP) neural network. Experimental results reveal that the proposed algorithm is mo

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BUGLEA, Ion. "RAINFALL TRENDS ANALYSIS IN TÂRGU MUREȘ CITY, ROMÂNIA." Analele Universităţii din Oradea, Seria Geografie 31, no. 1 (2021): 45–56. http://dx.doi.org/10.30892/auog.311106-864.

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The aim of this study is the detection of trends of precipitation from (1986-2020) over Târgu Mureș city. Precipitation data for 35 years were processed with MS Excel spreadsheets to find monthly, seasonal and annual variability of rainfall. The Mann-Kendall test was used for trend analysis of precipitation and the Sen’s slope estimator was used for the magnitude of variation. The calculations of the two methods were performed using the MAKESENS program. The standard deviation and the coefficient of variation were used to highlight the dispersion. Results show that all three scales (annual, se

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