A model based realisation of actor model to conceptualise an aid for complex dynamic decision-making

Effective decision-making of modern organisation requires deep understanding of various aspects of organisation such as its goals, structure, business-as-usual operational processes etc. The large size and complex structure of organisations, socio-technical characteristics, and fast business dynamics make this decision-making a challenging endeavour. The state-of-practice of decision-making that relies heavily on human experts is often reported as ineffective, imprecise and lacking in agility. This paper evaluates a set of candidate technologies and makes a case for using actor based simulation techniques as an aid for complex dynamic decision-making. The approach is justified by enumeration of basic requirements of complex dynamic decision-making and the conducting a suitability of analysis of state-of-the-art enterprise modelling techniques. The research contributes a conceptual meta-model that represents necessary aspects of organisation for complex dynamic decision-making together with a realisation in terms of a meta model that extends Actor model of computation. The proposed approach is illustrated using a real life case study from business process outsourcing industr

A model based realisation of actor model to conceptualise an aid for complex dynamic decision-making

Effective decision-making of modern organisation requires deep understanding of various aspects of organisation such as its goals, structure, business-as-usual operational processes etc. The large size and complex structure of organisations, socio-technical characteristics, and fast business dynamics make this decision-making a challenging endeavour. The state-of-practice of decision-making that relies heavily on human experts is often reported as ineffective, imprecise and lacking in agility. This paper evaluates a set of candidate technologies and makes a case for using actor based simulation techniques as an aid for complex dynamic decision-making. The approach is justified by enumeration of basic requirements of complex dynamic decision-making and the conducting a suitability of analysis of state-of-the-art enterprise modelling techniques. The research contributes a conceptual meta-model that represents necessary aspects of organisation for complex dynamic decision-making together with a realisation in terms of a meta model that extends Actor model of computation. The proposed approach is illustrated using a real life case study from business process outsourcing industr

Mathematical models for geometric calibration of a hyperemispheric camera for planetary exploration

openHyperemispheric lenses belong to the ultra-wide field-of-view optical objectives. The lens considered was firstly introduced in 2018. Its field of view is 360° on the azimuth and 135° for the off-boresight angle. The calibration of the lens consists in computing its extrinsic and intrinsic parameters. This camera is particularly interesting for planetary exploration purposes, since its capability to acquire large field-of-view images avoiding moving parts. The calibration process modifies the toolbox proposed by Davide Scaramuzza, introducing a moving pinhole which better describes the behaviour of the lens. In order to test the model, images were acquired using the OMNICAM lens. The images contain black-and-white checkerboards, whose internal vertices are used as benchmarks to assess the accuracy of the nature of our model.Hyperemispheric lenses belong to the ultra-wide field-of-view optical objectives. The lens considered was firstly introduced in 2018. Its field of view is 360° on the azimuth and 135° for the off-boresight angle. The calibration of the lens consists in computing its extrinsic and intrinsic parameters. This camera is particularly interesting for planetary exploration purposes, since its capability to acquire large field-of-view images avoiding moving parts. The calibration process modifies the toolbox proposed by Davide Scaramuzza, introducing a moving pinhole which better describes the behaviour of the lens. In order to test the model, images were acquired using the OMNICAM lens. The images contain black-and-white checkerboards, whose internal vertices are used as benchmarks to assess the accuracy of the nature of our model

Ground-based measurements of tropospheric and stratospheric bromine monoxide above Nairobi (1° S, 36° E)

International audienceGround based observations of stratospheric and tropospheric bromine monoxide, BrO, from a multi axial differential optical absorption spectrometer, MAXDOAS, located at the UNEP/UNON site in Nairobi (1° S, 36° E) are presented for the year 2003. Differences in BrO slant column densities at 90° and 80° solar zenith angle retrieved from the zenith-sky measurements are used to study stratospheric BrO. They show only small variations with season, as expected for the small seasonality in stratospheric Bry and NO2 in this region. A pronounced diurnal variation can be observed, the average value for the morning being 1.3×1014 molecules/cm2 and for the evening 1.5×1014 molecules/cm2. The measurements are compared with simulations from a one-dimensional photochemical stacked box model which is coupled with a radiative transfer model to allow direct comparisons between the observations and the model calculations. In general the model reproduces the measurements very well. The differences in the absolute values are 15% for the evening and 20% for the morning which is within the limits of the combined uncertainties. Both seasonality and diurnal variation are well reproduced by the model. A sensitivity study shows that inclusion of the reaction BrONO2 + O(3P) significantly improves the agreement between model calculations and measurements, indicating an important role of this reaction in the stratosphere near to the equator. Tropospheric BrO columns and profile information is derived from the combined results obtained in the different viewing directions for the average over several clear days. The resulting tropospheric BrO columns are in the range of 4?7.5×1012 molecules/cm2 which is significant but lower than in previous studies at mid and high latitudes. The vertical distribution of the tropospheric BrO peaks at about 3 km indicating the absence of local sources at this high altitude site

Model Factory for Additive Manufacturing of Mechatronic Products: Interconnecting World-class Technology Partnerships with Leading AM Players

AbstractThe additive manufacturing (AM) model factory's aim is to establish a leading-edge learning academy for the digital and generative production of innovative mechatronic products, where the complete value chain is integrated on a single site. Short courses and deep dives enable easier access to the state of the art technologies and increase the awareness for their potentials. Anchored in key industries such as automotive, aerospace, and medical by major OEMs and regional SMEs, the AM model factory cooperates with world-class partners and leading market players. This paper displays the model factory's setup, selected technologies, exemplary courses, and benefits

Hanford Low-activity Waste Glass Composition-temperature-melt Viscosity Relationships

This study developed a model for predicting viscosity of alkali-alumino-borosilicate glass melts as functions of composition and temperature. The model is based on a total of 3935 viscosity-temperature data from 574 glasses with viscosity values ranging from 2.53 to 7260 Poise (P) in the temperature range of 900–1260°C. Several different model forms were surveyed, including those based on Arrhenius, Vogel-Fulcher-Tammann, Avramov-Milchev, and Mauro-Yue-Ellison-Gupta-Allen. For each of these models, combinations of the temperature-independent parameters were fitted to composition. It was found that generally fitting more than one temperature-independent parameter as functions of composition resulted in overfitting. The Avramov-Milchev-based model was found to best represent the Hanford low-activity waste glass melt viscosity data based on model fit and validation statistics. A 21-term partial quadratic mixture model was recommended for use. This model predicts melt viscosity with a root-mean square error of.1736 ln(P), which is similar to the error in viscosity measurements from replicate glass analyses of.1383 ln(P). Viscosity was found to be most increased by SiO2 \u3e Al2O3 \u3e ZrO2 \u3e SnO2 and most decreased by Li2O \u3e Na2O \u3e B2O3 \u3e CaO \u3e K2O \u3e MgO, at temperatures from 900 to 1260°C

Analysis of Hawk Mountain Sanctuary Observation Data from 1976 through 2021

The primary objective is to correlate climate change data to changes in raptor observations at the Hawk Mountain Sanctuary in northern Berks County, Pennsylvania. Additional objectives include uncovering trends in climate observations at Hawk Mountain\u27s North Lookout and the Allentown Airport throughout the observation period, and to examine trends in raptor observation properties independent of climate changes

Environmental transmission of a personality trait: foster parent exploration behaviour predicts offspring exploration behaviour in zebra finches

Consistent behavioural differences among individuals are common in many species and can have important effects on offspring fitness. To understand such ‘personality’ variation, it is important to determine the mode ofinheritance, but this has been quantified for only a few species. Here, we report results from a breeding experiment in captive zebra finches, Taeniopygia guttata, in which we cross-fostered offspring to disentangle the importance of genetic and nongenetic transmission of behaviour. Genetic and foster-parents’ exploratory type was measured in a novel environment pre-breeding and offspring exploratory type was assessed at adulthood. Offspring exploratory type was predicted by the exploratory behaviour of the foster but not the genetic parents, whereas offspring sizewas predicted by genetic but not foster-parents’ size. Other aspects of the social environment, such as rearing regime (uni- versus biparental), hatching position, brood size or an individual’s sex did not influence offspring exploration. Our results therefore indicate that non-genetic transmission of behaviour can play an important role in shaping animal personality variation