Generic model Research Papers - Academia.edu (original) (raw)

This paper describes a probabilistic approach to the problem of recognizing places based on their appearance. The system we present is not limited to localization, but can determine that a new observation comes from a previously unseen... more

This paper describes a probabilistic approach to the problem of recognizing places based on their appearance. The system we present is not limited to localization, but can determine that a new observation comes from a previously unseen place, and so augment its map. Effectively this is a SLAM system in the space of appearance. Our probabilistic approach allows us to explicitly account for perceptual aliasing in the environment—identical but indistinctive observations receive a low probability of having come from the same place. We achieve this by learning a generative model of place appearance. By partitioning the learning problem into two parts, new place models can be learned online from only a single observation of a place. The algorithm complexity is linear in the number of places in the map,
and is particularly suitable for online loop closure detection in mobile robotics.

This work shows the experimental data of excess properties at several temperatures and the vapor–liquid equilibria (VLE) obtained for four binary systems of alkyl methanoates (methyl to butyl) with decane, all measured at constant... more

This work shows the experimental data of excess properties at several temperatures and the vapor–liquid equilibria (VLE) obtained for four binary systems of alkyl methanoates (methyl to butyl) with decane, all measured at constant pressure of 101.32kPa. The isobaric VLE data were thermodynamically consistent according to the Fredenslund test and did not present an azeotrope. The experimental data of HmE

Gasoline is the petroleum product whose price is most visible and, therefore, always under public scrutiny. Many claim there is an asymmetric relationship between gasoline and oil prices - specifically, gasoline price changes follow oil... more

Gasoline is the petroleum product whose price is most visible and, therefore, always under public scrutiny. Many claim there is an asymmetric relationship between gasoline and oil prices - specifically, gasoline price changes follow oil price changes more quickly when oil prices are rising than when they are falling. To explore this issue, Nathan Balke, Stephen Brown and Mine Yucel

In this paper, we propose an approach to the problem of simultaneous shape and refractive index recovery from multispectral polarisation imagery captured from a single viewpoint. The focus of this paper is on dielectric surfaces which... more

In this paper, we propose an approach to the problem of simultaneous shape and refractive index recovery from multispectral polarisation imagery captured from a single viewpoint. The focus of this paper is on dielectric surfaces which diffusely polarise light transmitted from the dielectric body into the air. The diffuse polarisation of the reflection process is modelled using a Transmitted Radiance Sinusoid curve and the Fresnel transmission theory. We provide a method of estimating the azimuth angle of surface ...

This paper describes a generalized model of the three-phase induction motor and its computer simulation using MATLAB/SIMULINK. Constructional details of various sub-models for the induction motor are given and their implementation in... more

This paper describes a generalized model of the three-phase induction motor and its computer simulation using MATLAB/SIMULINK. Constructional details of various sub-models for the induction motor are given and their implementation in SIMULINK is outlined. Direct-online starting of a 7.5-kW induction motor is studied using the simulation model developed.

©This paper is not for reproduction without permission of the authors. Natural systems are characterized more by the way they change than by their appearance at any one moment in time. There is, however, no self-consistent theory capable... more

©This paper is not for reproduction without permission of the authors. Natural systems are characterized more by the way they change than by their appearance at any one moment in time. There is, however, no self-consistent theory capable of ascribing the development of living hierarchical organisms to conventional scientific rationality. We have derived a generic model for the dynamics and evolution of natural hierarchical systems. This paper presents the resultant birational dynamics which may be attributed to a real hierarchy. We describe the nature of self-organization and of emergence in hierarchies, and the rationality which may be employed to move between scalar levels. We propose the use of diffusely-rational recursive Dempster-Shafer-probability to model inter-hierarchical-level complex regions, and consider its implications. The evolution of living from non-living systems is attributed to a change in the style of emergence which characterizes the appearance of new scalar le...

With the enabling Information Technology, disseminating every kind of information through the Internet became an enforcing condition for information providers. Now, it is more than being fashion and fun. Serving information on the... more

With the enabling Information Technology, disseminating every kind of information through the Internet became an enforcing condition for information providers. Now, it is more than being fashion and fun. Serving information on the Internet is a demand from the consumer as a commercial necessity. Internet allows all levels of society to access spatial data and even interactive mapping facilities that are available through the Web. Furthermore, Internet reshapes conventional characteristics of accessing, sharing, dissemination, visualization and analyzing conventions of spatial information handling. With today’s information technology support, user requirements determine remote geo-data processing as a need. In this paper a description is given of an application aiming at providing spatial data processing functions on the Internet is implemented using topographic data. In this framework, an architecture with the capability of services such as mapping, analyzing spatial data and dynami...

The paper presents a generic model for designing re-configurable C4ISR systems. The paper recognizes that despite the detailed guidelines provided ,by the Department ,of Defense ,Architecture Framework (DODAF) for designing... more

The paper presents a generic model for designing re-configurable C4ISR systems. The paper recognizes that despite the detailed guidelines provided ,by the Department ,of Defense ,Architecture Framework (DODAF) for designing systems-of-systems (SOS), DODAF may not be appropriate for creating adaptive C4ISR systems. Most importantly, DODAF lacks any theoretical foundation for designing not only C4ISR systems, but also for creating any SOS such as the Department of Defense’s (DOD) visionary Global Information Grid (GIG) that requires integration of coalition partners. Using axiomatic theory, the scientific concepts for creating Integrated Manufacturing Production Systems (IMPSs), the value system model, and borrowing from Martin’s work [Martin Book II 1990] for creating information-based enterprises, we have,constructed the generic model ,that could serve as a template ,for designing an adaptive ,C4ISR. More importantly, the paper recognizes that future DOD systems-of-systems must foll...

e-Commerce companies acknowledge that customers are their most important asset and that it is imperative to estimate the potential value of this asset. In conventional marketing, one of the widely accepted methods for evaluating customer... more

e-Commerce companies acknowledge that customers are their most important asset and that it is imperative to estimate the potential value of this asset. In conventional marketing, one of the widely accepted methods for evaluating customer value uses models known as Customer Lifetime Value (CLV). However, these existing models suffer from two major shortcomings: They either do not take into account significant attributes of customer behavior unique to e-Commerce, or they do not provide a method for generating specific models from the large body of relevant historical data that can be easily collected in e-Commerce sites. This paper describes a general modeling approach, based on Markov Chain Models, for calculating customer value in the e-Commerce domain. This approach extends existing CLV models, by taking into account a new set of variables required for evaluating customers value in an e-Commerce environment. In addition, we describe how data-mining algorithms can aid in deriving such a model, thereby taking advantage of the historical customer data available in such environments. We then present an application of this modeling approach—the creation of a model for online auctions—one of the fastest-growing and most lucrative types of e-Commerce. The article also describes a case study, which demonstrates how our model provides more accurate predictions than existing conventional CLV models regarding the future income generated by customers.

Lake Vela is a polymictic shallow lake exhibiting some characteristics typical of an advanced trophic state, namely, the permanently turbid water, the reduction in biodiversity, and the recurrent occurrence of Cyanobacteria blooms, which... more

Lake Vela is a polymictic shallow lake exhibiting some characteristics typical of an advanced trophic state, namely, the permanently turbid water, the reduction in biodiversity, and the recurrent occurrence of Cyanobacteria blooms, which occasionally lead to large fish kills. This study was carried out in order to understand the seasonal variation of Lake Vela’s phytoplankton and cladoceran communities and their interactions under advanced eutrophic conditions. When comparing our results with general models of plankton succession observed in other temperate and tropical lakes we found some coherence between several seasonal events. Our results suggest that phytoplankton is mainly regulated by nutrients (“bottom-up” effect). However, the warm mediterranean temperatures had an important role in the phytoplankton succession, being responsible for the rapid and intense Cyanobacteria development in spring and summer. Our work also demonstrated that phytoplankton is one of the main factors responsible for the seasonal structure of the community of cladocerans, which are well related to changes in algae diversity and abundance, being the Cyanobacteria having major impact. Moreover, the occurrence of a massive Cyanobacteria bloom during the study, which induced anoxia and consequent fish kill, enhanced the structuring role that fish have on the cladoceran seasonal succession and the effects of this episode in the normal seasonal succession of plankton.

The Dirichlet family owes its privileged status within simplex distributions to easyness of interpretation and good mathematical properties. In particular, we recall fundamental properties for the analysis of compositional data such as... more

The Dirichlet family owes its privileged status within simplex distributions to easyness of interpretation and good mathematical properties. In particular, we recall fundamental properties for the analysis of compositional data such as closure under amalgamation and subcomposition. From a probabilistic point of view, it is characterised (uniquely) by a variety of independence relationships which makes it indisputably the reference model for expressing the non trivial idea of substantial independence for compositions. Indeed, its well known inadequacy as a general model for compositional data stems from such an independence structure together with the poorness of its parametrisation. In this paper a new class of distributions (called Flexible Dirichlet) capable of handling various dependence structures and containing the Dirichlet as a special case is presented. The new model exhibits a considerably richer parametrisation which, for example, allows to model the means and (part of) th...

Much effort has been dedicated to provide a general model of agents working in complex environments. This research focuses on the high level cognition used in determining the behavior of the agent. The language of the Situation Calculus... more

Much effort has been dedicated to provide a general model of agents working in complex environments. This research focuses on the high level cognition used in determining the behavior of the agent. The language of the Situation Calculus represents a very useful way of modeling an agent's knowledge of its environment. One of its advantages is that there exist methods to derive an executable program from a basic set of axioms. This program can then be used to determine the actions that are necessary in order to accomplish certain ...

Factor analysis is a general purpose technique for dimension- ality reduction with applications in diverse areas including computer vision, collaborative filtering and computational bi- ology. Sparse factor analysis is a natural extension... more

Factor analysis is a general purpose technique for dimension- ality reduction with applications in diverse areas including computer vision, collaborative filtering and computational bi- ology. Sparse factor analysis is a natural extension that can be motivated by the observation that sparse features tend to generalize better, or justified based on a priori beliefs about the underlying generative model of the