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Subject = Simulation;
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Displaying Results 1 - 25 of 148 on page 1 of 6
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A Framework for Generating Data to Simulate Application Scoring
(2011)
Kennedy, Kenneth; Delany, Sarah Jane; Mac Namee, Brian
A Framework for Generating Data to Simulate Application Scoring
(2011)
Kennedy, Kenneth; Delany, Sarah Jane; Mac Namee, Brian
Abstract:
In this paper we propose a framework to generate artificial data that can be used to simulate credit risk scenarios. Artificial data is useful in the credit scoring domain for two reasons. Firstly, the use of artificial data allows for the introduction and control of variability that can realistically be expected to occur, but has yet to materialise in practice. The ability to control parameters allows for a thorough exploration of the performance of classification models under different conditions. Secondly, due to non-disclosure agreements and commercial sensitivities, obtaining real credit scoring data is a problematic and time consuming task. By the provision of publicly available artificial data, credit scoring is opened to the wider data mining community. This in turn could help enable greater participation, promote replicable experimental findings, and give rise to solution proposals to outstanding credit scoring problems. To ensure that our framework is sufficiently grounded...
https://arrow.dit.ie/scschcomcon/96
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A novel and miniaturized 433/868MHz multi-band wireless sensor platform for body sensor network applications
(2012)
Buckley, John; O'Flynn, Brendan; Loizou, Loizos; Haigh, Peter; Boyle, David; Angov...
A novel and miniaturized 433/868MHz multi-band wireless sensor platform for body sensor network applications
(2012)
Buckley, John; O'Flynn, Brendan; Loizou, Loizos; Haigh, Peter; Boyle, David; Angove, Philip; Barton, John; Ó Mathúna, S. Cian; Popovici, Emanuel M.; O'Connell, Seán
Abstract:
Body Sensor Network (BSN) technology is seeing a rapid emergence in application areas such as health, fitness and sports monitoring. Current BSN wireless sensors typically operate on a single frequency band (e.g. utilizing the IEEE 802.15.4 standard that operates at 2.45GHz) employing a single radio transceiver for wireless communications. This allows a simple wireless architecture to be realized with low cost and power consumption. However, network congestion/failure can create potential issues in terms of reliability of data transfer, quality-of-service (QOS) and data throughput for the sensor. These issues can be especially critical in healthcare monitoring applications where data availability and integrity is crucial. The addition of more than one radio has the potential to address some of the above issues. For example, multi-radio implementations can allow access to more than one network, providing increased coverage and data processing as well as improved interoperability betw...
http://hdl.handle.net/10468/955
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A probabilistic approach to the simulation of non-linear stress-strain relationships for oriented strandboard subject to in-plane tension
(2018)
McTigue, Antony T.; Harte, Annette M.
A probabilistic approach to the simulation of non-linear stress-strain relationships for oriented strandboard subject to in-plane tension
(2018)
McTigue, Antony T.; Harte, Annette M.
Abstract:
This paper presents the results from an experimental test program conducted on commercially available oriented strandboard (OSB) panels and statistical analyses of the results. Standardised testing was used to determine the short-term behaviour of OSB/3 panels subjected to tension loading. A variety of thicknesses sourced from three different producers were used. Analysis of the results indicate that a quadratic expression in the form of sigma = a epsilon(2) + b epsilon provides the best description of the relationship between stress (sigma) and strain (epsilon) up to the point of failure. It has also been shown that the coefficients a and b of the quadratic regression equations are negatively correlated to each other. Anderson-Darling goodness-of-fit tests were conducted on the results for tension strength and modulus of elasticity (MOE). The results indicate that the tension strength and MOE come from populations that follow either normal or lognormal probability distributions.
http://hdl.handle.net/10379/12847
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A robust anisotropic hyperelastic formulation for the modelling of soft tissue
(2018)
Nolan, D.R.; Gower, A.L.; Destrade, M.; Ogden, R.W.; McGarry, J.P.
A robust anisotropic hyperelastic formulation for the modelling of soft tissue
(2018)
Nolan, D.R.; Gower, A.L.; Destrade, M.; Ogden, R.W.; McGarry, J.P.
http://hdl.handle.net/10379/13146
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A scoping review of simulation models of peer review
(2019)
Feliciani, Thomas; Luo, Junwen; Ma, Lai; Lucas, Pablo; Shankar, Kalpana; et al.
A scoping review of simulation models of peer review
(2019)
Feliciani, Thomas; Luo, Junwen; Ma, Lai; Lucas, Pablo; Shankar, Kalpana; et al.
Abstract:
Peer review is a process used in the selection of manuscripts for journal publication and proposals for research grant funding. Though widely used, peer review is not without flaws and critics. Performing large-scale experiments to evaluate and test correctives and alternatives is difficult, if not impossible. Thus, many researchers have turned to simulation studies to overcome these difficulties. In the last ten years this field of research has grown significantly but with only limited attempts to integrate disparate models or build on previous work. Thus, the resulting body of literature consists of a large variety of models, hinging on incompatible assumptions, which have not been compared, and whose predictions have rarely been empirically tested. This scoping review is an attempt to understand the current state of simulation studies of peer review. Based on 46 articles identified through literature searching, we develop a proposed taxonomy of model features that include model t...
http://hdl.handle.net/10197/11042
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A Simulation Analysis of Photovoltaic AC Module Integrated Converters in Parallel, under Controlled Edge Shading Conditions
(2012)
O'Callaghan, Lynette; McKeever, Michael; Norton, Brian
A Simulation Analysis of Photovoltaic AC Module Integrated Converters in Parallel, under Controlled Edge Shading Conditions
(2012)
O'Callaghan, Lynette; McKeever, Michael; Norton, Brian
Abstract:
A DC and AC power simulation comparison of: a Photovoltaic (PV) array with a modular, parallel, AC converter configuration; and a series, string configuration with a central AC converter, is presented. The systems are simulated using a comprehensive range of edge shading scenarios and irradiance conditions. Power control and transformation circuitry must be designed for shade and module mismatch tolerance to prevent over-proportional power to shade losses, as average losses from Building Integrated PV (BIPV) systems are approximately 20 to 25%, due to shade, mismatch, differences in orientation and inclination, and temperature effects. 59.4% of the simulations showed gains in AC power by using the parallel modular converter system, with a maximum gain of 10.74%, when compared with the series configuration. Losses up to 6.61% can be experienced when most of the modules are experiencing edge shading of 200 or 400W/m2, as i) the converter efficiency is lower in this power range for the...
https://arrow.dit.ie/engmecdesignconf/4
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A Simulation-Based Decision Support System to Model Complex Demand Driven Heathcare Facilities
(2012)
Arisha, Amr; Thorwarth, Michael
A Simulation-Based Decision Support System to Model Complex Demand Driven Heathcare Facilities
(2012)
Arisha, Amr; Thorwarth, Michael
Abstract:
Simulating healthcare processes is a sophisticated endeavor. Treatment processes and patient arrival patterns differ significantly in their statistical attributes and implicate a high degree of variability. In addition, there are several types of interconnected processes of medical staff involved that accompany a patient’s journey through the healthcare facility. Replicating this behavior with process flow models in a discrete event simulation model is highly complex and therefore difficult to create while maintaining a high degree of precision. A framework is thus introduced which delivers an algorithm that allows to implement Multiple Participant Pathway Modeling (MPPM) under the consideration of Flexible Resource Allocation (FRA). This framework is applied on an Irish Emergency Department (ED), the outcome of which is presented here. Results show that scenarios can be investigated which impact several different process flows with a high precision. This provides a solid base for b...
https://arrow.dit.ie/buschmarcon/99
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A Taxonomy for Agent-Based Models in Human Infectious Disease Epidemiology
(2017)
Hunter, Elizabeth; Mac Namee, Brian; Kelleher, John
A Taxonomy for Agent-Based Models in Human Infectious Disease Epidemiology
(2017)
Hunter, Elizabeth; Mac Namee, Brian; Kelleher, John
Abstract:
Agent-based simulation modelling has been used in many epidemiological studies on infectious diseases. However, because agent based modelling is a field without any clear protocol for developing simulations the researcher is given a high amount of flexibility. This flexibility has led to many different forms of agent-based epidemiological simulations. In this paper we review the existing literature on agent-based epidemiological simulation models. From our literature review we identify key similarities and differences in the exisiting simulations. We then use these similarities and differences to create a taxonomy of agent-based epidemiological models and show how the taxonomy can be used.
https://arrow.dit.ie/scschcomart/51
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A through-process, thermomechanical model for predicting welding-induced microstructure evolution and post-weld high-temperature fatigue response
(2019)
Mac Ardghail, Padraig; Harrison, Noel; Leen, Sean B.
A through-process, thermomechanical model for predicting welding-induced microstructure evolution and post-weld high-temperature fatigue response
(2019)
Mac Ardghail, Padraig; Harrison, Noel; Leen, Sean B.
Abstract:
This paper is concerned with the development of a modelling framework to predict the effects of welding and post-weld heat treatment on thereto-mechanical performance of welded material, as a step towards a design tool for industry. A dislocation mechanics, through-process finite element model, incorporating thermal, micro structural and mechanical effects is presented, for predicting thereto-mechanical fatigue of welds. The model is applied to multi-pass gas tungsten arc welding of 9Cr martensitic steel. The predicted high-temperature low cycle fatigue performance of cross-weld samples is comparatively assessed for a range of different post-weld heat treatment durations. It is shown that longer post-weld heat-treatment (PWHT) durations increase the predicted number of cycles to failure and that Vickers hardness gradient across the heat-affected zone can be used as an indicator of fatigue life.
This research is funded by Science Foundation Ireland grant number SFI/14/IA/2604. Th...
http://hdl.handle.net/10379/15596
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Aerosol distribution over europe: a model evaluation study with detailed aerosol microphysics
(2018)
Langmann, B.; Varghese, S.; Marmer, E.; Vignati, E.; Wilson, J.; Stier, P.; O'Dowd...
Aerosol distribution over europe: a model evaluation study with detailed aerosol microphysics
(2018)
Langmann, B.; Varghese, S.; Marmer, E.; Vignati, E.; Wilson, J.; Stier, P.; O'Dowd, C.
Abstract:
This paper summarizes an evaluation of model simulations with a regional scale atmospheric climate-chemistry/aerosol model called REMOTE, which has been extended by a microphysical aerosol module. Model results over Europe are presented and compared with available measurements in surface air focusing on the European distribution and variability of primary and secondary aerosols. Additionally, model results obtained with detailed aerosol microphysics are compared to those based on an aerosol bulk mass approach revealing the impact of dry deposition fluxes on atmospheric burden concentration. An improved determination of elevated ozone and sulfate concentrations could be achieved by considering a diurnal cycle in the anthropogenic emission fluxes. Deviation between modelled and measured organic carbon concentrations can be mainly explained by missing formation of secondary organic aerosols and deficiencies in emission data. Changing residential heating practices in Europe, where the u...
http://hdl.handle.net/10379/12377
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An Engineering Evaluation of Ankle Prosthetics
(2008)
Thian, Christopher; Tiernan, Stephen; McEvoy, Fiona; Flavin, Robert
An Engineering Evaluation of Ankle Prosthetics
(2008)
Thian, Christopher; Tiernan, Stephen; McEvoy, Fiona; Flavin, Robert
Abstract:
There are a wide range of different types of ankle replacements on the market today each with adifferent mechanical design. Unfortunately the results of ankle replacements are not as good as hipand knee replacements; this is due to the complexity of the ankle joint. In the early days of anklereplacements some of the prosthetics only lasted 4 months. Recent developments have improved thelongevity of the replacements although, there are still many complications and failures of thereplacements, these include; the prosthetic components migrating into the bone, the componentsfailing due to stresses induced by the forces and the surgery itself i.e. the incision site.This paper will analyse the documented medical failures of the replacements from a mechanicalengineering perspective. Three ankle prosthetics are investigated in this paper: the Buechel-Pappas,the Scandinavian Total Ankle Replacement (STAR) and the Hintegra ankle replacement. Medicalpublications are examined to isolate the mec...
https://arrow.dit.ie/ittengcon/3
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An Integrated Decision Support Framework For Assessing Food Supply Chain Risk Management Processes: A Food Retail Case Study
(2013)
Arisha, Amr; Crowe, John
An Integrated Decision Support Framework For Assessing Food Supply Chain Risk Management Processes: A Food Retail Case Study
(2013)
Arisha, Amr; Crowe, John
Abstract:
Global confidence and reliability in Irish food supply chains are essential elements to overall competiveness and future growth. The complex nature of food supply chains make them vulnerable to many sources of risk, both internal and external. Integrating the SCOR11 model with system dynamics and discrete-event simulation modelling is effective decision support integration, reducing the risks decision makers have to manage daily. At GRD, using the integrated framework to assess the risks associated with lean initiatives helped management in understanding both the risk scenario, likelihood and impact factor of their decisions on operations performance measures.
https://arrow.dit.ie/buschmarcon/104
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An investigation into the neurocognitive processes underlying motor imagery
(2017)
O'Shea, Helen
An investigation into the neurocognitive processes underlying motor imagery
(2017)
O'Shea, Helen
Abstract:
This thesis investigates the neurocognitive (especially, attentional) mechanisms underlying “motor imagery” (MI), a cognitive ability that involves consciously performing an action in the mind without physically executing associated movements. Research shows that the systematic use of MI (or “mental practice”; MP) can enhance the functioning of motor systems and improve skilled behaviour (e.g., in sport, medicine, music and neurorehabilitation). The most popular explanation for this MI/MP effect on skill learning/performance stems from motor simulation theory (MST; Jeannerod, 1994, 2001, 2006a). Briefly, MST claims that MI and physical movement are “functionally equivalent” because they purportedly share motor representations, activate similar neuroanatomical structures, and rely on the same functional mechanisms. Unfortunately, despite their seminal nature, the tenets of MST have received surprisingly little critical scrutiny. Therefore, the cognitive mechanisms alleged to underlie...
http://hdl.handle.net/10197/9099
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An xfem-based methodology for fatigue delamination and permeability of composites
(2018)
Grogan, D.M.; Leen, Sean B.; Ó Brádaigh, C.M.
An xfem-based methodology for fatigue delamination and permeability of composites
(2018)
Grogan, D.M.; Leen, Sean B.; Ó Brádaigh, C.M.
http://hdl.handle.net/10379/11739
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Analysis and design of a tri-level current-steering DAC with 12-bit linearity and improved impedance matching suitable for CT-ADCs
(2020)
Mehta, Shantanu; O'Hare, Daniel; O'Brien, Vincent; Thompson, Eric; Mullane, B...
Analysis and design of a tri-level current-steering DAC with 12-bit linearity and improved impedance matching suitable for CT-ADCs
(2020)
Mehta, Shantanu; O'Hare, Daniel; O'Brien, Vincent; Thompson, Eric; Mullane, Brendan
Abstract:
This paper presents the design of a low-latency, highly linear current-steering DAC for use in continuous-time ADCs. A detailed analysis of equivalent unary-weighted current-steering DAC topologies in terms of mismatch, noise, and output-impedance related distortion is carried out. From this analysis, we propose a tri-level DAC design that achieves 12-bit static linearity and is suitable for implementation in a continuous-time ADC architecture. To reduce output-impedance related distortion, the design combines DAC slice impedance matching with a proposed compensation technique. By incorporating the tri-level DAC in a continuous-time ADC architecture, the technique demonstrates ~ 8dB improvement in DAC dynamic performance at high frequencies over the Nyquist-band at 100MS/s. The DAC has been verified by simulation results in TSMC 1.2V 65nm CMOS technology.
PUBLISHED
Peer reviewed
http://hdl.handle.net/10344/8941
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Application development using modeling and dynamical systems analysis
(2009)
O'Neill, Eleanor; McGlinn, Kris; Lewis, David; Bailey, Eoin; Dobson, Simon; McCart...
Application development using modeling and dynamical systems analysis
(2009)
O'Neill, Eleanor; McGlinn, Kris; Lewis, David; Bailey, Eoin; Dobson, Simon; McCarthy, Kevin
Abstract:
Research on context aware systems is handicapped by the lack of readily available large scale data sets, as well as by the lack of tools by which researchers can interact effectively with such data sets across a range of scales and granularities. We show how virtual reality combined with a dynamical systems analysis approach can start to address these gaps. Simulation allows for generation of simulated sensor data at runtime and actuations of entities in the virtual world. The ease of sensor deployment and configurations in a simulated environment allows for rapid reconfigurations enabling generation of the required large scale data sets for analysis. Using these data sets, dynamical systems analysis can determine if a given application is functioning in a manner that is deemed to be correct.
http://hdl.handle.net/10344/2390
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Application of a staged automated calibration methodology to a partially-retrofitted university building energy model
(2019)
Zuhaib, Sheikh; Hajdukiewicz, Magdalena; Goggins, Jamie
Application of a staged automated calibration methodology to a partially-retrofitted university building energy model
(2019)
Zuhaib, Sheikh; Hajdukiewicz, Magdalena; Goggins, Jamie
Abstract:
Deep-retrofit planning for existing buildings demands high accuracy in energy modelling prediction that minimises the gap between actual and simulated scenarios. A large set of interacting variables and uncertainties in energy performance modelling causes perturbations that can be minimised via model calibration. In this work, a novel multi-stage automated calibration methodology was developed using a case study of a partially-retrofitted university building (>35 yrs old) in Ireland. The methodology enables the analysis of models for Indoor Environmental Quality (IEQ) variables along with energy demand. Due to the higher number of uncertainties in the model, a sensitivity analysis was conducted on the model that is both calibrated and validated as per ASHRAE Guide 14 indices of Cv(RMSE) and NMBE. The calibration process was automated using the optimisation algorithm NSGA-II with two sets of reference data i.e. monthly utility and hourly indoor air temperature. Results demonstrate...
http://hdl.handle.net/10379/15332
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Approximations to the p-values of tests for a change-point under non-standard conditions
(2015)
Kelly, Gabrielle E.
Approximations to the p-values of tests for a change-point under non-standard conditions
(2015)
Kelly, Gabrielle E.
Abstract:
Three test statistics for a change-point in a linear model, variants of those considered by Andrews and Ploberger [Optimal tests when a nusiance parameter is present only under the alternative. Econometrica. 1994;62:1383–1414]: the sup-likelihood ratio (LR) statistic; a weighted average of the exponential of LR-statistics and a weighted average of LR-statistics, are studied. Critical values for the statistics with time trend regressors, obtained via simulation, are found to vary considerably, depending on conditions on the error terms. The performance of the bootstrap in approximating p-values of the distributions is assessed in a simulation study. A sample approximation to asymptotic analytical expressions extending those of Kim and Siegmund [The likelihood ratio test for a change-point in simple linear regression. Biometrika. 1989;76:409–423] in the case of the sup-LR test is also assessed. The approximations and bootstrap are applied to the Quandt data [The estimation of a parame...
http://hdl.handle.net/10197/7010
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Aspen Plus Simulation of Biomass Gasification in a Steam Blown Dual Fluidised Bed
(2013)
Doherty, Wayne; Reynolds, Anthony; Kennedy, David
Aspen Plus Simulation of Biomass Gasification in a Steam Blown Dual Fluidised Bed
(2013)
Doherty, Wayne; Reynolds, Anthony; Kennedy, David
Abstract:
The efficient utilisation of biomass resources is of utmost importance. Biomass gasification offers much higher efficiencies than combustion. Gasification is a process in which a fuel is converted to a combustible gas (syngas). A dual fluidised bed gasifier known as the fast internally circulating fluidised bed (FICFB) was selected. It has been demonstrated at industrial scale and data is readily available for model validation. An Aspen Plus model was developed to simulate the FICFB gasifier. The model is based on Gibbs free energy minimisation and the restricted equilibrium method was used to calibrate it. The model has been validated and predicts syngas composition, heating value and cold gas efficiency (CGE) in very good agreement with published data. Important operating parameters such as gasification temperature (Tg), biomass moisture, steam to biomass ratio (STBR), air-fuel ratio and air and steam temperature were varied. Tg and STBR were found to have very strong influence on...
https://arrow.dit.ie/engmecbk/2
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ASPiH Conference 2019 keynote paper. Quality improvement through simulation: a missed opportunity?
(2020)
O'Connor, Paul
ASPiH Conference 2019 keynote paper. Quality improvement through simulation: a missed opportunity?
(2020)
O'Connor, Paul
Abstract:
As the use of simulation has become more established in the delivery of healthcare education and training, there has been a corresponding increase in healthcare simulation research. Simulation-based research can be divided into research about simulation (answers research questions in which the focus is on simulation itself) and research through simulation (simulation as a method/tool for research). However, there are barriers, particularly for smaller less well-resourced simulation centres, that may prohibit participation in research. Therefore, it is suggested that quality improvement (QI) through simulation may be a pragmatic way in which simulation centres of all sizes can contribute to improving patient care beyond education and training. QI is defined as systematic, data-guided activities designed to bring about immediate, positive changes in the delivery of healthcare. Although not the case in healthcare, other industries routinely used simulation to support QI. For example, i...
http://hdl.handle.net/10379/16313
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Assessment dynamic ratio for traffic loading on highway bridges
(2011)
Caprani, Colin C.; González, Arturo; Rattigan, Paraic; O'Brien, Eugene J.
Assessment dynamic ratio for traffic loading on highway bridges
(2011)
Caprani, Colin C.; González, Arturo; Rattigan, Paraic; O'Brien, Eugene J.
Abstract:
The determination of characteristic bridge load effect is a complex problem. Usually, statistical extrapolation of simulated static load effects is used to derive a lifetime characteristic static load effect. However, when a vehicle crosses a bridge, dynamic interaction occurs which often causes a greater total load effect. This total load effect is related to the static load effect through a dynamic amplification factor (DAF). Specifications often recommend a conservative level for DAF, based on bridge length, number of lanes, and type of load effect only. Therefore significant improvements in the accuracy of this calculation are possible if a DAF, specific to the considered bridge, is applied. In this paper, the authors develop a novel method that considers site-specific bridge and traffic load conditions and allows for the reduced probability of both high static loading and high dynamic interaction occurring simultaneously. This approach utilises multivariate extreme value theory...
http://hdl.handle.net/10197/3068
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Biased stock assessment when using multiple, hardly overlapping, tuning series if fishing trends vary spatially
(2009)
Kraak, S B M; Daan, N; Pastoors, M A
Biased stock assessment when using multiple, hardly overlapping, tuning series if fishing trends vary spatially
(2009)
Kraak, S B M; Daan, N; Pastoors, M A
Abstract:
Fishing-effort distributions are subject to change, for autonomous reasons and in response to management regulations. Ignoring such changes in a stock-assessment procedure may lead to a biased perception. We simulated a stock distributed over two regions with inter-regional migration and different trends in exploitation, and tested the performance of Extended Survivors Analysis (XSA) and a statistical catch-at-age model in terms of bias, when spatially restricted tuning series were applied. If we used a single tuning index that covered only the more heavily fished region, estimates of fishing mortality and spawning-stock biomass were seriously biased. If two tuning series each exclusively covering one region were used (without overlap but together covering the whole area), estimates were also biased. Surprisingly, a moderate degree of overlap of spatial coverage of the two tuning indices was sufficient to reduce bias of the XSA assessment substantially. However, performance was best...
http://hdl.handle.net/10793/418
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Biased stock assessment when using multiple, hardly overlapping, tuning series if fishing trends vary spatially
(2018)
Kraak, S. B. M.; Daan, N.; Pastoors, M. A.
Biased stock assessment when using multiple, hardly overlapping, tuning series if fishing trends vary spatially
(2018)
Kraak, S. B. M.; Daan, N.; Pastoors, M. A.
Abstract:
Fishing-effort distributions are subject to change, for autonomous reasons and in response to management regulations. Ignoring such changes in a stock-assessment procedure may lead to a biased perception. We simulated a stock distributed over two regions with inter-regional migration and different trends in exploitation and tested the performance of extended survivors analysis (XSA) and a statistical catch-at-age model in terms of bias, when spatially restricted tuning series were applied. If we used a single tuning index that covered only the more heavily fished region, estimates of fishing mortality and spawning-stock biomass were seriously biased. If two tuning series each exclusively covering one region were used (without overlap but together covering the whole area), estimates were also biased. Surprisingly, a moderate degree of overlap of spatial coverage of the two tuning indices was sufficient to reduce bias of the XSA assessment substantially. However, performance was best ...
http://hdl.handle.net/10379/12310
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BigDataNetSim: A Simulator for Data and Process Placement in Large Big Data Platforms
(2019)
Batista de Almeida, Leandro; Cunha de Almeida, Eduardo; Murphy, John; De Grande, Robson...
BigDataNetSim: A Simulator for Data and Process Placement in Large Big Data Platforms
(2019)
Batista de Almeida, Leandro; Cunha de Almeida, Eduardo; Murphy, John; De Grande, Robson E.; Ventresque, Anthony
Abstract:
The 2018 IEEE/ACM 22nd International Symposium on Distributed Simulation and Real Time Applications (DS-RT)
Big Data platforms are convoluted distributed systems which commonly comprise skill- and labour-intensive solution development to treat inherent Big Data application challenges. Several tools have been proposed to help developers and engineers to overcome the involved complexities in coordinating the execution of plenty processes/threads on multiple machines. However, no work so far has been able to combine both an accurate representation of Big Data jobs and realistic modeling of the behaviour of Big Data platforms at scale, including networking elements and data and job placement. In this paper, we propose BigDataNetSim, the first simulator which models accurately all the main components of the data movements in Big Data platforms (e.g., HDFS, YARN/MapReduce, network topologies, switching/routing protocols) in a large scale system. BigDataNetSim can serve as a valuable t...
http://hdl.handle.net/10197/10594
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Bioeconomic modelling of male Holstein-Friesian dairy calf-to-beef production systems on Irish farms
(2014)
Ashfield, A.; Wallace, Michael; Prendiville, Robert; Crosson, Paul
Bioeconomic modelling of male Holstein-Friesian dairy calf-to-beef production systems on Irish farms
(2014)
Ashfield, A.; Wallace, Michael; Prendiville, Robert; Crosson, Paul
Abstract:
With the abolition of milk quota in 2015 and increase in the use of Holstein-Friesian sires in recent years there is predicted to be an increase in the number of male Holstein-Friesian animals available for beef production. In broad terms, farmers have two options for finishing these animals; as bulls or steers. In either case, Irish beef cattle systems are based on maximising lifetime live-weight gain from grass-based diets. Managing the relationship between the supply and demand for grazed grass is complicated in these pasture-based systems due to the seasonal variability in grass growth. The Grange Dairy Beef Systems Model (GDBSM) was used to simulate the relationship between grazed grass supply and demand and then determine the profitability of Holstein-Friesian male animals finished as bulls at 16 (B16), 19 (B19) and 22 (B22) months of age and steers at 24 (S24) months of age. Combinations of these cattle finishing options were also evaluated. The most profitable system was S24...
http://hdl.handle.net/11019/758
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