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Journal articles on the topic 'Simulation of joint extremes'

Author: Grafiati

Published: 25 May 2024

Last updated: 31 July 2025

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1

Phalitnonkiat, Pakawat, Peter G. M. Hess, Mircea D. Grigoriu, et al. "Extremal dependence between temperature and ozone over the continental US." Atmospheric Chemistry and Physics 18, no. 16 (2018): 11927–48. http://dx.doi.org/10.5194/acp-18-11927-2018.

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Abstract. The co-occurrence of heat waves and pollution events and the resulting high mortality rates emphasize the importance of the co-occurrence of pollution and temperature extremes. Through the use of extreme value theory and other statistical methods, tropospheric surface ozone and temperature extremes and their joint occurrence are analyzed over the United States during the summer months (JJA) using measurements and simulations of the present and future climate and chemistry. Five simulations from the Chemistry-Climate Model Initiative (CCMI) reference experiment using specified dynamic

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2

Yao, L., W. Dongxiao, Z. Zhenwei, H. Weihong, and S. Hui. "A Monte Carlo simulation of multivariate general Pareto distribution and its application." Ocean Science Discussions 11, no. 6 (2014): 2733–53. http://dx.doi.org/10.5194/osd-11-2733-2014.

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Abstract. This paper presents a multivariate general Pareto distribution (MGPD) method and builds a method for solving MGPD through the use of a Monte Carlo simulation for marine environmental extreme-value parameters. The simulation method has proven to be feasible in the analysis of the joint probability of wave height and its concomitant wind from a hydrological station in the South China Sea (SCS). The MGPD is the natural distribution of the multivariate peaks-over-threshold (MPOT) sampling method, and is based on the extreme-value theory. The existing dependence functions can be used in t

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3

Muheki, Derrick, Axel A. J. Deijns, Emanuele Bevacqua, Gabriele Messori, Jakob Zscheischler, and Wim Thiery. "The perfect storm? Co-occurring climate extremes in East Africa." Earth System Dynamics 15, no. 2 (2024): 429–66. http://dx.doi.org/10.5194/esd-15-429-2024.

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Abstract. Co-occurring extreme climate events exacerbate adverse impacts on humans, the economy, and the environment relative to extremes occurring in isolation. While changes in the frequency of individual extreme events have been researched extensively, changes in their interactions, dependence, and joint occurrence have received far less attention, particularly in the East African region. Here, we analyse the joint occurrence of pairs of the following extremes within the same location and calendar year over East Africa: river floods, droughts, heatwaves, crop failures, wildfires and tropica

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4

Tencer, Bárbara, Andrew Weaver, and Francis Zwiers. "Joint Occurrence of Daily Temperature and Precipitation Extreme Events over Canada." Journal of Applied Meteorology and Climatology 53, no. 9 (2014): 2148–62. http://dx.doi.org/10.1175/jamc-d-13-0361.1.

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AbstractThe occurrence of individual extremes such as temperature and precipitation extremes can have a great impact on the environment. Agriculture, energy demands, and human health, among other activities, can be affected by extremely high or low temperatures and by extremely dry or wet conditions. The simultaneous or proximate occurrence of both types of extremes could lead to even more profound consequences, however. For example, a dry period can have more negative consequences on agriculture if it is concomitant with or followed by a period of extremely high temperatures. This study analy

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Sanga, Bharat, Reeta Wattal, and D. S. Nagesh. "An FEA based study of thermal behaviour of ultrasonically welded phosphor bronze sheets." Journal of Mechanical Engineering and Sciences 15, no. 2 (2021): 8057–71. http://dx.doi.org/10.15282/jmes.15.2.2021.10.0635.

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The ultrasonic joining of phosphor bronze sheets is analyzed using a 3-D finite element model for the study and prediction of the thermal profiles at the weld interface. The heat fluxes are calculated and assigned as boundary conditions during the thermal simulation. The forecast of temperature is done under various welding conditions. The maximum temperature obtained by transient simulation at the weld interface is 366.74℃. The continuous reduction in the temperature is observed towards the extremes of the weld metal. The sonotrode and the anvil achieve a lower temperature in comparison to th

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Anderson, Dylan, Peter Ruggiero, Fernando J. Mendez, et al. "TIME-VARYING EMULATOR FOR SHORT- AND LONG-TERM ANALYSIS OF COASTAL FLOODING (TESLA-FLOOD)." Coastal Engineering Proceedings, no. 36 (December 30, 2018): 4. http://dx.doi.org/10.9753/icce.v36.currents.4.

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The ability to predict coastal flooding events and associated impacts has emerged as a primary societal need within the context of projected sea level rise (SLR) and climate change. The duration and extent of flooding is the result of nonlinear interactions between multiple environmental forcings (oceanographic, meteorological, hydrological) acting at varying spatial (local to global) and temporal scales (hours to centuries). Individual components contributing to total water levels (TWLs) include astronomical tides, monthly sea level anomalies, storm surges, and wave setup. Common practices of

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Brunner, Manuela I., and Eric Gilleland. "Stochastic simulation of streamflow and spatial extremes: a continuous, wavelet-based approach." Hydrology and Earth System Sciences 24, no. 8 (2020): 3967–82. http://dx.doi.org/10.5194/hess-24-3967-2020.

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Abstract. Stochastically generated streamflow time series are used for various water management and hazard estimation applications. They provide realizations of plausible but as yet unobserved streamflow time series with the same temporal and distributional characteristics as the observed data. However, the representation of non-stationarities and spatial dependence among sites remains a challenge in stochastic modeling. We investigate whether the use of frequency-domain instead of time-domain models allows for the joint simulation of realistic, continuous streamflow time series at daily resol

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8

Barbariol, Francesco, Alvise Benetazzo, Sandro Carniel, and Mauro Sclavo. "Space–Time Wave Extremes: The Role of Metocean Forcings." Journal of Physical Oceanography 45, no. 7 (2015): 1897–916. http://dx.doi.org/10.1175/jpo-d-14-0232.1.

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AbstractWave observations and modeling have recently demonstrated that wave extremes of short-crested seas are poorly predicted by statistics of time records. Indeed, the highest waves pertain to wave groups at focusing that have space–time dynamics. Therefore, the statistical prediction of extremes of short-crested sea states should rely on the multidimensional random wave fields’ assumption. To adapt wave extreme statistics to the space–time domain, theoretical models using parameters of the directional wave spectrum have been recently developed. In this paper, the influence of metocean forc

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9

Vosniakos, G.-C., and A. Chronopoulos. "Industrial robot path planning in a constraint-based computer-aided design and kinematic analysis environment." Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture 223, no. 5 (2009): 523–33. http://dx.doi.org/10.1243/09544054jem1234.

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Paths of industrial robots are easier to plan by using constraints on accurate computer-aided design (CAD) models of both objects representing the real industrial robotic cell and virtual objects representing the auxiliary geometry that is necessary to define path points. The motion path normally needs to be split into segments possessing uniform characteristics, e.g. common active joints, at points usually corresponding to position or velocity extremes. Each segment corresponds either to point-to-point motion or to constrained motion. Point-to-point motion is implemented by interpolating betw

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Bajda, Mirosław. "Predicting the working time of multi-ply conveyor belt splices in underground mines." Mining Science 31 (2024): 259–74. https://doi.org/10.37190/msc243115.

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Knowledge about the service life of the splices before they are made is extremely valuable information for the users of belt conveyors because having additional technical data about the conveyor and the place of its installation makes it possible to forecast the working time of the joint. The results of calculations of the service life of joints of multi-ply textile conveyor belts are presented. The calculations were made using a computer program specially created for this purpose, which predicts the service life of the joints before they are made. The program was created due to the implementa

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11

Zheng, Feifei, Michael Leonard, and Seth Westra. "Efficient joint probability analysis of flood risk." Journal of Hydroinformatics 17, no. 4 (2015): 584–97. http://dx.doi.org/10.2166/hydro.2015.052.

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Flood attributes such as the water level may depend on multiple forcing variables that arise from common meteorological conditions. To correctly estimate flood risk in these situations, it is necessary to account for the joint probability distribution of all the relevant forcing variables. An example of a joint probability approach is the design variable method, which focuses on the extremes of the forcing variables, and approximates the hydraulic response to forcing variables with a water level table. In practice, however, application of the design variable method is limited, even for the biv

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Chiocca, Andrea, Francesco Frendo, and Leonardo Bertini. "Evaluation of residual stresses in a tube-to-plate welded joint." MATEC Web of Conferences 300 (2019): 19005. http://dx.doi.org/10.1051/matecconf/201930019005.

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A deep understanding of the manufacturing process is needed in order to achieve safety and quality requirements for parts and components; to this regard, residual stresses play an important role in welded structures. Residual stresses are mainly caused by the extremely severe thermal cycle to which the welded metal and base material are subjected to during welding process and their knowledge leads to a better static and fatigue assessment of welded joints. This work deals with the study of residual stresses for a tube to plate T-joint, made of S355JR carbon steel. The work was carried out by b

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Luo, Y., D. Sui, H. Shi, Z. Zhou, and D. Wang. "Multivariate extreme value analysis of storm surges in SCS on peak over threshold method." Ocean Science Discussions 12, no. 6 (2015): 2783–805. http://dx.doi.org/10.5194/osd-12-2783-2015.

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Abstract. We use a novel statistical approach-MGPD to analyze the joint probability distribution of storm surge events at two sites and present a warning method for storm surges at two adjacent positions in Beibu Gulf, using the sufficiently long field data on surge levels at two sites. The methodology also develops the procedure of application of MGPD, which includes joint threshold and Monte Carlo simulation, to handle multivariate extreme values analysis. By comparing the simulation result with analytic solution, it is shown that the relative error of the Monte Carlo simulation is less than

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14

Xu, Zhenyu, and Dayu Zhu. "Impact of Continuous Cable-Strut Joints on the Anti-Progressive-Collapse Performance of Suspended-Dome Structures." Buildings 13, no. 9 (2023): 2225. http://dx.doi.org/10.3390/buildings13092225.

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In suspended-dome structures, cable-strut joints can be categorized into discontinuous joints and continuous joints. In calculations, the discontinuous joints can be treated as hinge joints. However, in the event of a cable breakage, the continuous joints might experience slip and detachment phenomena. Simplifying continuous cable-strut joints as hinge joints for calculation purposes can result in a significant discrepancy from the actual load-bearing state of the continuous joints. In fact, under the scenario of cable rupture, the continuous cable-strut joints might undergo slip and detachmen

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Hannesdóttir, Ásta, Mark Kelly, and Nikolay Dimitrov. "Extreme wind fluctuations: joint statistics, extreme turbulence, and impact on wind turbine loads." Wind Energy Science 4, no. 2 (2019): 325–42. http://dx.doi.org/10.5194/wes-4-325-2019.

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Abstract. For measurements taken over a decade at the coastal Danish site Høvsøre, we find the variance associated with wind speed events from the offshore direction to exceed the prescribed extreme turbulence model (ETM) of the International Electrotechnical Commission (IEC) 61400-1 Edition 3 standard for wind turbine safety. The variance of wind velocity fluctuations manifested during these events is not due to extreme turbulence; rather, it is primarily caused by ramp-like increases in wind speed associated with larger-scale meteorological processes. The measurements are both linearly detre

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16

Li, Yuzhou, Yefeng Yang, Kang Liu, and Chih-Yung Wen. "Intelligent Joint Space Path Planning: Enhancing Motion Feasibility with Goal-Driven and Potential Field Strategies." Sensors 25, no. 14 (2025): 4370. https://doi.org/10.3390/s25144370.

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Traditional path-planning algorithms for robotic manipulators typically focus on end-effector planning, often neglecting complete collision avoidance for the entire manipulator. Additionally, many existing approaches suffer from high time complexity and are easily trapped in local extremes. To address these challenges, this paper proposes a goal-biased bidirectional artificial potential field-based rapidly-exploring random tree* (GBAPF-RRT*) algorithm, which enhances both target guidance and obstacle avoidance capabilities of the manipulator. Firstly, we utilize a Gaussian distribution to add

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17

Xiong, Genliang, Jingxin Shi, and Haichu Chen. "Cascaded Control of Flexible-Joint Robots Based on Sliding-Mode Estimator Approach." Journal of Robotics 2020 (October 26, 2020): 1–12. http://dx.doi.org/10.1155/2020/8861847.

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The inherent highly nonlinear coupling and system uncertainties make the controller design for a flexible-joint robot extremely difficult. The goal of the control of any robotic system is to achieve high bandwidth, high accuracy of trajectory tracking, and high robustness, whereby the high bandwidth for flexible-joint robot is the most challenging issue. This paper is dedicated to design such a link position controller with high bandwidth based on sliding-mode technique. Then, two control approaches ((1) extended-regular-form approach and (2) the cascaded control structure based on the sliding

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18

Wang, Xiangyang, Xiantang Zhang, Jingshuang Zhang, Hongmin Zhou, Peng Zhang, and Dan Li. "Study on the Influence of the Joint Angle between Blast Holes on Explosion Crack Propagation and Stress Variation." Processes 11, no. 9 (2023): 2805. http://dx.doi.org/10.3390/pr11092805.

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The joints and fissures in a natural rock mass can affect the mechanical properties of the rock mass, the propagation of a blasting stress wave, and the blasting effect of the smooth surface of roadways. In the process of roadway drilling and blasting, there will inevitably be some joints between the two blast holes. Taking the joint angle as the starting point, this paper studies the rule of rock explosion crack propagation and stress variation when there are joints with different angles between two blast holes and analyzes the influence of joints on rock mechanical properties and blasting ef

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19

Valent, Peter, and Roman Výleta. "Continuous Simulation of Catchment Runoff in Flood Frequency Analysis: A Case Study from Slovakia." Proceedings 7, no. 1 (2018): 16. http://dx.doi.org/10.3390/ecws-3-05828.

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Research questions relating to a reliable estimate of flood discharge have always interested both hydrologists and civil engineers. Over the decades, numerous methods have been proposed and used more or less successfully, all of them with known limitations restricting their use in a wide range of conditions and problems. In the past, the characteristics of hydrological extremes were mostly estimated by the methods of statistical analyses. As this type of method is not suitable to estimate design discharges of high return periods, and by default does not account for uncertainty, a new family of

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Cruse, Hoik, Jeffrey Dean, Thomas Kindermann, Josef Schmitz, and Michael Schumm. "Simulation of Complex Movements Using Artificial Neural Networks." Zeitschrift für Naturforschung C 53, no. 7-8 (1998): 628–38. http://dx.doi.org/10.1515/znc-1998-7-816.

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Abstract A simulated network for controlling a six-legged, insect-like walking system is proposed. The network contains internal recurrent connections, but important recurrent connections utilize the loop through the environment. This approach leads to a subnet for controlling the three joints of a leg during its swing which is arguably the simplest possible solution. The task for the stance subnet appears more difficult because the movements of a larger and varying number of joints (9 -18: three for each leg in stance) have to be controlled such that each leg contributes efficiently to suppor

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21

Janssen, Peter A. E. M. "On a random time series analysis valid for arbitrary spectral shape." Journal of Fluid Mechanics 759 (October 23, 2014): 236–56. http://dx.doi.org/10.1017/jfm.2014.565.

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AbstractWhile studying the problem of predicting freak waves it was realized that it would be advantageous to introduce a simple measure for such extreme events. Although it is customary to characterize extremes in terms of wave height or its maximum it is argued in this paper that wave height is an ill-defined quantity in contrast to, for example, the envelope of a wave train. Also, the last measure has physical relevance, because the square of the envelope is the potential energy of the wave train. The well-known representation of a narrow-band wave train is given in terms of a slowly varyin

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22

Mazas, Franck, and Luc Hamm. "AN EVENT-BASED APPROACH FOR EXTREME JOINT PROBABILITIES OF WAVES AND SEA LEVELS." Coastal Engineering Proceedings, no. 35 (June 23, 2017): 20. http://dx.doi.org/10.9753/icce.v35.management.20.

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A methodology for determining extreme joint probabilities of two metocean variables, in particular wave height and sea level, is presented in the paper. This methodology focuses in particular on the sampling of the time series, which should be based on the notion of event: either the event generating the variables whose joint probabilities are wanted (such as a storm generating waves and surges) or the event that is a result of the combination of these variables (such as a beach erosion event generated by waves at high sea level). A classification is proposed for multivariate analyses in order

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23

Lawrence, D., E. Paquet, J. Gailhard, and A. K. Fleig. "Stochastic semi-continuous simulation for extreme flood estimation in catchments with combined rainfall–snowmelt flood regimes." Natural Hazards and Earth System Sciences 14, no. 5 (2014): 1283–98. http://dx.doi.org/10.5194/nhess-14-1283-2014.

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Abstract. Simulation methods for extreme flood estimation represent an important complement to statistical flood frequency analysis because a spectrum of catchment conditions potentially leading to extreme flows can be assessed. In this paper, stochastic, semi-continuous simulation is used to estimate extreme floods in three catchments located in Norway, all of which are characterised by flood regimes in which snowmelt often has a significant role. The simulations are based on SCHADEX, which couples a precipitation probabilistic model with a hydrological simulation such that an exhaustive set

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Lawrence, D., E. Paquet, J. Gailhard, and A. K. Fleig. "Stochastic semi-continuous simulation for extreme flood estimation in catchments with combined rainfall-snowmelt flood regimes." Natural Hazards and Earth System Sciences Discussions 1, no. 6 (2013): 6785–828. http://dx.doi.org/10.5194/nhessd-1-6785-2013.

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Abstract. Simulation methods for extreme flood estimation represent an important complement to statistical flood frequency analysis because a spectrum of catchment conditions potentially leading to extreme flows can be assessed. In this paper, stochastic, semi-continuous simulation is used to estimate extreme floods in three catchments located in Norway, all of which are characterised by flood regimes in which snowmelt often has a significant role. The simulations are based on SCHADEX, which couples a precipitation probabilistic model with a hydrological simulation such that an exhaustive set

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25

Dong, Xu, Jian Meng, Bin Zhang, Zhizhou Sun, Jian Li, and Shangwei Yang. "Torque Simulation and Analysis of Quadruped Robot under Trot Gait." Journal of Physics: Conference Series 2383, no. 1 (2022): 012082. http://dx.doi.org/10.1088/1742-6596/2383/1/012082.

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The quadruped robot can overcome the unevenness of the wheeled chassis on steps and gravel roads, and has good passability. The Trot gait is the basic gait of the quadruped robot, and the walking is realized by the gait of alternating footsteps. In this paper, the dynamic simulation of the static equilibrium state of the quadruped robot in different poses on the ground and stair is carried out, and the movement of the robot body under the trot gait is simulated to obtain the joint torques of the upper and lower leg of the quadruped robot, which is the driving torque of the joint motor. The mod

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Poonia, Neeraj, and Sarita Azad. "A New Statistical Distribution Derived from a Clayton Copula for Modeling Bivariate Processes." Journal of Hydrometeorology 24, no. 10 (2023): 1659–78. http://dx.doi.org/10.1175/jhm-d-23-0011.1.

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Abstract Rainfall and temperature extremes have become more frequent and severe in recent times due to changing climate. Since these catastrophic occurrences directly affect a region’s hydrology, it is imperative to develop models that can project and explain the joint behavior of climate variables. Copula functions have been used relatively successfully to capture multivariate processes. With climate being a multifaceted process, there is interdependence between variables, making copula use desirable since traditional bivariate distributions do not account for the dependent structure. In this

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Kou, Lei, Zhihui Xiong, Hao Cui, and Jinjie Zhao. "Study on Mechanical Characteristics of Segmental Joints of a Large-Diameter Shield Tunnel under Ultrahigh Water Pressure." Sensors 21, no. 24 (2021): 8392. http://dx.doi.org/10.3390/s21248392.

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At present, there is no clear design standard for segmental joints of large-diameter shield tunnels under high water pressure. In this paper, a theoretical calculation model for the bending stiffness of segmental joints under high water pressure is proposed. The numerical simulation method is used to investigate the failure and crack formation processes of single-layer and double-layer lining segments under large axial forces. The effects of axial force, bolt strength, and concrete strength on the bending stiffness of joints are then studied using a theoretical calculation model of segmental j

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Pang, Bo, Zhongqiu Ji, Zihua Zhang, et al. "Strength Training Characteristics of Different Loads Based on Acceleration Sensor and Finite Element Simulation." Sensors 21, no. 2 (2021): 647. http://dx.doi.org/10.3390/s21020647.

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Deep squat, bench press and hard pull are important ways for people to improve their strength. The use of sensors to measure force is rare. Measuring strength with sensors is extremely valuable for people to master the intensity of exercise to scientifically effective exercise. To this end, in this paper, we used a real-time wireless motion capture and mechanical evaluation system of the wearable sensor to measure the dynamic characteristics of 30 young men performing deep squat, bench press and hard pull maneuvers. The data of tibia were simulated with AnyBody 5.2 and ANSYS 19.2 to verify the

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Yao, Fang, Jiawei Wang, Fushuan Wen, Chung-Li Tseng, Xingyong Zhao, and Qiang Wang. "An Integrated Planning Strategy for a Power Network and the Charging Infrastructure of Electric Vehicles for Power System Resilience Enhancement." Energies 12, no. 20 (2019): 3918. http://dx.doi.org/10.3390/en12203918.

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This paper addresses the integrated planning problem of a power network and the charging infrastructure of electric vehicles (EVs) for enhancing power system resilience under various extreme weather scenarios. The planning methodology determines the optimal joint expansion decisions while modeling the benchmark system operation under the n − k resilience criterion. The proposed coordinated planning framework is a robust two-stage/tri-level mixed-integer optimization model. The proposed robust joint planning model includes the construction plan in the first level, identifying the worst-case sce

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Zach, L., S. Konvickova, and P. Ruzicka. "Finite Element Analysis of the Lower Extrtemity - Hinge Knee Behavior Under Dynamic Load." International Journal of Mathematics and Computers in Simulation 15 (November 27, 2021): 89–91. http://dx.doi.org/10.46300/9102.2021.15.16.

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A key goal of joint endoprosthesis is to become a full-featured functional and anatomical replacement. The joint damage may occur for several reasons - primarily a disease of different nature and magnitude, resulting in gradual and irreversible changes and in an extreme solution in the implantation of artificial joints. However, there should be also mentioned accidents leading to joint destruction, which are often "trigger mechanism" of the disease. This work therefore presents a dynamic computational finite element analysis of a hinge-type knee replacement, which aim to streamline and acceler

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Yang, Weihua, and Fei Wang. "The Effect of Acupuncture on Elbow Joint Sports Injuries Based on Magnetic Resonance Imaging." Computational and Mathematical Methods in Medicine 2022 (April 4, 2022): 1–7. http://dx.doi.org/10.1155/2022/9005792.

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Purpose. Elbow joint injuries are extremely common in most athletes. Athletes’ chronic elbow injuries can involve multiple complex anatomical structures related to orthopedics. Therefore, it is of great significance to explore the characteristics of magnetic resonance (MR) images of chronic sports injuries of the elbow joint and the influence of acupuncture treatment on MR images and clinical symptoms. Methods. A total of 60 elbow joints of 39 athletes from 15-25 years old were selected for coronal, sagittal, and axial MR scans to observe the image characteristics; 60 elbow joints were randoml

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Scarf, P. A. "On the limiting joint distribution of the extreme order statistics." Applied Stochastic Models and Data Analysis 9, no. 3 (1993): 267–78. http://dx.doi.org/10.1002/asm.3150090307.

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Nail-Ulloa, Iván, Michael Zabala, Richard Sesek, Howard Chen, Mark C. Schall, and Sean Gallagher. "Estimating Compressive and Shear Forces at L5-S1: Exploring the Effects of Load Weight, Asymmetry, and Height Using Optical and Inertial Motion Capture Systems." Sensors 24, no. 6 (2024): 1941. http://dx.doi.org/10.3390/s24061941.

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This study assesses the agreement of compressive and shear force estimates at the L5-S1 joint using inertial motion capture (IMC) within a musculoskeletal simulation model during manual lifting tasks, compared against a top-down optical motion capture (OMC)-based model. Thirty-six participants completed lifting and lowering tasks while wearing a modified Plug-in Gait marker set for the OMC and a full-body IMC set-up consisting of 17 sensors. The study focused on tasks with variable load weights, lifting heights, and trunk rotation angles. It was found that the IMC system consistently underesti

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Xiang, Yujiang. "Human Carrying Simulation With Symmetric and Asymmetric Loads Using Optimization." Journal of Applied Biomechanics 30, no. 1 (2014): 140–46. http://dx.doi.org/10.1123/jab.2012-0159.

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Human carrying is simulated in this work by using a skeletal digital human model with 55 degrees of freedom. An optimization-based approach is used to predict the carrying motion with symmetric and asymmetric loads. In this process, the model predicts joint dynamics using optimization schemes and task-based physical constraints. The results indicate that the model can predict different carrying strategies during symmetric and asymmetric load-carrying tasks. The model can also indicate the risk factors for extreme loading situations. With such robust prediction capability, the model could be us

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Wang, Wenhai, Chaolei Wu, Yiming Yang, Xiaohan Peng, Lishuai Jiang, and Yifeng Huang. "Numerical Analysis on the Influence of Joint Density on the Stability of Complex Jointed Roadway Surrounding Rock." Sustainability 15, no. 18 (2023): 13561. http://dx.doi.org/10.3390/su151813561.

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The random distribution of a complex joint network within a coal–rock mass has a significant weakening effect on its bearing capacity, making the surrounding rock of the roadway highly susceptible to instability and failure under the influence of in situ stress and mining-induced stress. This poses challenges in controlling the surrounding rock and seriously affects the normal production of mines. Consequently, it is imperative to conduct stability analysis on complex jointed roadway surrounding rock. Therefore, taking the transport roadway of Panel 11030 in the Zhaogu No. 2 Coal Mine as a cas

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SOYJAUDAH, K. M. S., and T. P. FOWDUR. "CRITICAL ANALYSIS OF A COMBINED HUFFMAN AND CONVOLUTIONAL CODING SCHEME." Journal of Circuits, Systems and Computers 15, no. 04 (2006): 641–57. http://dx.doi.org/10.1142/s0218126606003222.

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In this paper, a critical analysis of the joint source channel coding scheme proposed by Honary et al.1 is given. We show mathematically that although the algorithm leads to a reduction in the overall number of decoding states it increases both the time and space complexity of the decoding process. Moreover, the hardware complexity of the proposed scheme is also analyzed and it is observed that the joint decoding algorithm is in the first place extremely complex to implement and secondly, it significantly increases the number of components required, thereby increasing the power consumption. A

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Hieronymus, Magnus. "The sea level simulator v1.0: a model for integration of mean sea level change and sea level extremes into a joint probabilistic framework." Geoscientific Model Development 16, no. 9 (2023): 2343–54. http://dx.doi.org/10.5194/gmd-16-2343-2023.

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Abstract. A statistical model called the sea level simulator v1.0 is introduced. The model integrates mean sea level change and sea level extremes into a joint probabilistic framework that is useful for coastal spatial planning. Given a user-defined planning period, the model can estimate the flood risk as a function of height above the current mean sea level. These flood risk estimates are derived through Monte Carlo simulations of a very large number of planning periods. The derived flood risk is contingent on user-assigned probabilities for future greenhouse gas emission pathways, and the m

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De Luca, Giovanni, and Paola Zuccolotto. "A double clustering algorithm for financial time series based on extreme events." Statistics & Risk Modeling 34, no. 1-2 (2017): 1–12. http://dx.doi.org/10.1515/strm-2015-0026.

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AbstractThis paper is concerned with a procedure for financial time series clustering, aimed at creating groups of time series characterized by similar behavior with regard to extreme events. The core of our proposal is a double clustering procedure: the former is based on the lower tail dependence of all the possible pairs of time series, the latter on the upper tail dependence. Tail dependence coefficients are estimated with copula functions. The final goal is to exploit the two clustering solutions in an algorithm designed to create a portfolio that maximizes the probability of joint positi

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Bai, Yun, and YuanBin Hou. "Research of Pose Control Algorithm of Coal Mine Rescue Snake Robot." Mathematical Problems in Engineering 2018 (2018): 1–9. http://dx.doi.org/10.1155/2018/4751245.

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Aiming at how to achieve optimal control of joint pitch angles in the process of the robot surmounting obstacle, taking the developed coal mine rescue snake robot as an experimental platform, a pose control algorithm based on particle swarm optimization weight coefficient of extreme learning machine (PSOELM) is proposed. In order to obtain the optimized hidden layer matrix of the extreme learning machine (ELM), particle swarm optimization (PSO) is applied to optimize the weight coefficient of hidden layer matrix. The simulation and experiment results prove that, compared with the ELM algorithm

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Hao, Ruonan, and Zhixu Bai. "Comparative Study for Daily Streamflow Simulation with Different Machine Learning Methods." Water 15, no. 6 (2023): 1179. http://dx.doi.org/10.3390/w15061179.

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Rainfall–runoff modeling has been of great importance for flood control and water resource management. However, the selection of hydrological models is challenging to obtain superior simulation performance especially with the rapid development of machine learning techniques. Three models under different categories of machine learning methods, including support vector regression (SVR), extreme gradient boosting (XGBoost), and the long-short term memory neural network (LSTM), were assessed for simulating daily runoff over a mountainous river catchment. The performances with different input scena

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Khan, Said, Samir Bendoukha, and Salem Abdelmalek. "Chaos Stabilization and Tracking Recovery of a Faulty Humanoid Robot Arm in a Cooperative Scenario." Vibration 2, no. 1 (2019): 87–101. http://dx.doi.org/10.3390/vibration2010006.

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Synchronised motion is an important requirement for two cooperating humanoid robot arms. In this work a cooperative scenario is considered where two humanoid robot arms (using 4DOF each, namely Shoulder Flexion Joint, Shoulder abduction Joint, Humeral rotation joint and Elbow Flexion Joint) motion are synchronized. The master robot arm is controlled by a sliding mode controller and the slave robot arm is synchronized using a basic PD plus adaptive control, employing the position and velocity errors between the master and the slave. During the operation, if a joint of the slave robot arm satura

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Yun, Seokhoon. "The distributions of cluster functionals of extreme events in a dth-order Markov chain." Journal of Applied Probability 37, no. 1 (2000): 29–44. http://dx.doi.org/10.1239/jap/1014842266.

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The paper concerns the asymptotic distributions of cluster functionals of extreme events in a dth-order stationary Markov chain {Xn, n = 1,2,…} for which the joint distribution of (X1,…,Xd+1) is absolutely continuous. Under some distributional assumptions for {Xn}, we establish weak convergence for a class of cluster functionals and obtain representations for the asymptotic distributions which are well suited for simulation. A number of examples important in applications are presented to demonstrate the usefulness of the results.

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Dzienis, P., I. Zaborowska, and R. Mosdorf. "JRP analysis of synchronization loss between signals recording during bubble departures." Nonlinear Dynamics 108, no. 1 (2022): 433–44. http://dx.doi.org/10.1007/s11071-022-07217-9.

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AbstractThe synchronization between the air pressure fluctuations and the depth of liquid penetration into the nozzle during bubble departures was investigated using joint recurrence quantification analysis. In the experiment, the bubbles were generated from a glass nozzle into distilled water. During the analysis, the recurrent rate coefficients were calculated for the depth of liquid penetration into the glass nozzle and pressure changes in the gas supply system. The study was conducted by two air volume flow rates, i.e. 0.023 l/min and 0.026 l/min. The air volume flow rates were selected so

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Yun, Seokhoon. "The distributions of cluster functionals of extreme events in a dth-order Markov chain." Journal of Applied Probability 37, no. 01 (2000): 29–44. http://dx.doi.org/10.1017/s0021900200015230.

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The paper concerns the asymptotic distributions of cluster functionals of extreme events in a dth-order stationary Markov chain {X n , n = 1,2,…} for which the joint distribution of (X 1,…,X d+1) is absolutely continuous. Under some distributional assumptions for {X n }, we establish weak convergence for a class of cluster functionals and obtain representations for the asymptotic distributions which are well suited for simulation. A number of examples important in applications are presented to demonstrate the usefulness of the results.

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Ren, Sheng Le, Ye Dai, Ming Che, and Xu Du. "The Characteristic Simulation Analysis Method Based on the Theory of Similarity for Combined Interface of Heavy Machine Tools." Applied Mechanics and Materials 274 (January 2013): 183–86. http://dx.doi.org/10.4028/www.scientific.net/amm.274.183.

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The research on the combination of the characteristics becomes extremely important to the success of machine tool design. This paper mainly studies the dynamic and static characteristic parameters of heavy machine tool guide-way joint. And put forward a practical machine tool combining surface analysis method according to the experimental verification. It is presented that small linear guide as a scale model based on similarity theory. And make a research on the static and dynamic characteristics of small guide joint and the conclusion extended to heavy machine set of faces. And the conclusion

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Ruosteenoja, Kimmo, Timo Vihma, and Ari Venäläinen. "Projected Changes in European and North Atlantic Seasonal Wind Climate Derived from CMIP5 Simulations." Journal of Climate 32, no. 19 (2019): 6467–90. http://dx.doi.org/10.1175/jcli-d-19-0023.1.

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Abstract Future changes in geostrophic winds over Europe and the North Atlantic region were studied utilizing output data from 21 CMIP5 global climate models (GCMs). Changes in temporal means, extremes, and the joint distribution of speed and direction were considered. In concordance with previous research, the time mean and extreme scalar wind speeds do not change pronouncedly in response to the projected climate change; some degree of weakening occurs in the majority of the domain. Nevertheless, substantial changes in high wind speeds are identified when studying the geostrophic winds from d

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Montgomery, Matthew G., Miles B. Yaw, and John S. Schwartz. "Joint Failure Probability of Dams Based on Probabilistic Flood Hazard Analysis." Water 16, no. 6 (2024): 865. http://dx.doi.org/10.3390/w16060865.

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Probabilistic risk methods are becoming increasingly accepted as a means of carrying out risk-informed decision making regarding the design and operation policy of structures such as dams. Probabilistic risk calculations require the quantification of epistemic and aleatory uncertainties not investigated through deterministic methodologies. In this hydrological study, a stochastic sampling methodology is employed to investigate the joint failure probability of three dams in adjacent similarly sized watersheds within the same hydrologic unit code (HUC) 6 basin. A probabilistic flood hazard analy

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Kelly, Mark. "Flow acceleration statistics: a new paradigm for wind-driven loads, towards probabilistic turbine design." Wind Energy Science 10, no. 3 (2025): 535–58. https://doi.org/10.5194/wes-10-535-2025.

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Abstract. A method is developed to identify load-driving events based on filtered flow acceleration, regardless of the event-generating mechanism or specific temporal signature. Low-pass filtering enables calculation of acceleration statistics per characteristic turbine response time; this circumvents the classic problem of small-scale noise dominating observed accelerations or extremes, while providing a way to deal with different turbines and controllers. Not only is the flow acceleration physically meaningful, but its use also removes the need for de-trending. Through consideration of the 9

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Chen, Jung-Chieh, Min-Han Chiu, Yi-Syun Yang, Kuan-Yuen Liao, and Chih-Peng Li. "Efficient Capacity-Based Joint Quantized Precoding and Transmit Antenna Selection Using Cross-Entropy Method for Multiuser MIMO Systems." International Journal of Antennas and Propagation 2012 (2012): 1–7. http://dx.doi.org/10.1155/2012/965834.

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The current paper considers the joint precoding and transmit antenna selection to reduce hardware cost, such as radio-frequency chains, associated with antennas in the downlink of multiuser multiple-input multiple-output systems with limited feedback. The joint precoding and transmit antenna selection algorithm requires an exhaustive search of all possible combinations and permutations to find the optimum solution at the transmitter, thus resulting in extremely high computational complexity. To reduce the computational load while still maximizing channel capacity, the cross-entropy (CE) method

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Guo, Chao-Yu, Xing-Yi Huang, Pei-Cheng Kuo, and Yi-Hau Chen. "Extensions of the distributed lag non-linear model (DLNM) to account for cumulative mortality." Environmental Science and Pollution Research 28, no. 29 (2021): 38679–88. http://dx.doi.org/10.1007/s11356-021-13124-0.

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AbstractThe effects of meteorological factors on health outcomes have gained popularity due to climate change, resulting in a general rise in temperature and abnormal climatic extremes. Instead of the conventional cross-sectional analysis that focuses on the association between a predictor and the single dependent variable, the distributed lag non-linear model (DLNM) has been widely adopted to examine the effect of multiple lag environmental factors health outcome. We propose several novel strategies to model mortality with the effects of distributed lag temperature measures and the delayed ef

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