Search results for "Information system"
showing 10 items of 2404 documents
Models of Event Driven Systems
2016
This paper provides the business process modeling approach based on usage of Domain Specific Languages (DSL). The proposed approach allows us to create executable information systems’ models and extends the concept of Event Driven Architecture (EDA) with the business process execution description. It lets us apply principles of the Model Driven Development (MDD) in order to create the information system which complies with the model. The proposed approach provides a set of advantages in information systems development, use and maintenance: bridges the gap between business and IT, an exact specification, which is easily to implement into information system, up-to-date documentation etc. The …
A Step Towards a Data Quality Theory
2019
Data quality issues have been topical for many decades. However, a unified data quality theory has not been proposed yet, since many concepts associated with the term “data quality” are not straightforward enough. The paper proposes a user-oriented data quality theory based on clearly defined concepts. The concepts are defined by using three groups of domain-specific languages (DSLs): (1) the first group uses the concept of a data object to describe the data to be analysed, (2) the second group describes the data quality requirements, and (3) the third group describes the process of data quality evaluation. The proposed idea proved to be simple enough, but at the same time very effective in…
Diagnosis of Incipient Bearing Faults using Convolutional Neural Networks
2019
The majority of faults occurring in rotating electrical machinery is attributed to bearings. To reduce downtime, it is desired to apply various diagnostic methods so that bearing degradation can be detected in good time prior to a complete failure. The work presented in this paper utilizes a data-driven machine learning approach based on convolutional neural networks (CNNs) in order to diagnose different types of bearing faults. A one-dimensional CNN is trained on vibration signals and compared to a two-dimensional CNN trained in time-frequency domain using continuous wavelet transform (CWT). The proposed method is demonstrated on data collected from run-to-failure tests.The results show th…
Drivers, barriers and impacts of digitalisation in rural areas from the viewpoint of experts
2022
Abstract Context: The domain of rural areas, including rural communities, agriculture, and forestry, is going through a process of deep digital transformation. Digitalisation can have positive impacts on sustainability in terms of greater environmental control, and community prosperity. At the same time, it can also have disruptive effects, with the marginalisation of actors that cannot cope with the change. When developing a novel system for rural areas, requirements engineers should carefully consider the specific socio-economic characteristics of the domain, so that potential positive effects can be maximised, while mitigating negative impacts. Objective: The goal of this paper is to sup…
The Capacitated Arc Routing Problem: Lower bounds
1992
In this paper, we consider the Capacitated Arc Routing Problem (CARP), in which a fleet of vehicles, based on a specified vertex (the depot) and with a known capacity Q, must service a subset of the edges of a graph, with minimum total cost and such that the load assigned to each vehicle does not exceed its capacity. New lower bounds are developed for this problem, producing at least as good results as the already existing ones. Three of the proposed lower bounds are obtained from the resolution of a minimum cost perfect matching problem. The fourth one takes into account the vehicle capacity and is computed using a dynamic programming algorithm. Computational results, in which these bounds…
Trading off accuracy for efficiency by randomized greedy warping
2016
Dynamic Time Warping (DTW) is a widely used distance measure for time series data mining. Its quadratic complexity requires the application of various techniques (e.g. warping constraints, lower-bounds) for deployment in real-time scenarios. In this paper we propose a randomized greedy warping algorithm for finding similarity between time series instances. We show that the proposed algorithm outperforms the simple greedy approach and also provides very good time series similarity approximation consistently, as compared to DTW. We show that the Randomized Time Warping (RTW) can be used in place of DTW as a fast similarity approximation technique by trading some classification accuracy for ve…
On the classification of dynamical data streams using novel “Anti-Bayesian” techniques
2018
Abstract The classification of dynamical data streams is among the most complex problems encountered in classification. This is, firstly, because the distribution of the data streams is non-stationary, and it changes without any prior “warning”. Secondly, the manner in which it changes is also unknown. Thirdly, and more interestingly, the model operates with the assumption that the correct classes of previously-classified patterns become available at a juncture after their appearance. This paper pioneers the use of unreported novel schemes that can classify such dynamical data streams by invoking the recently-introduced “Anti-Bayesian” (AB) techniques. Contrary to the Bayesian paradigm, tha…
A cloud based architecture to support Electronic Health Record.
2014
We introduce a novel framework of electronic healthcare enabled by a Cloud platform able to host both Hospital Information Systems (HIS) and Electronic Medical Record (EMR) systems and implement an innovative model of Electronic Health Record (EHR) that is not only patient-oriented but also supports a better governance of the whole healthcare system. The proposed EHR model adopts the state of the art of the Cloud technologies, being able to join the different clinical data of the patient stored within the HISs and EMRs either placed into a local Data Center or hosted into a Cloud Platform enabling new directions of data analysis.
The sustainability of olive orchard planting management for different harvesting techniques: An integrated methodology
2019
Abstract The globalization of the olive oil market has caused greater competitiveness in terms of olive oil quality and production costs and the main countries interested in olive growing, have introduced efficient planting design and horticultural techniques in order to meet these requirements. In this paper the sustainability of olive orchard planting management for different olive fruit-harvesting methods has been assessed on the basis of the data gathered by the Geographic Information System and processed using a Multi-Criteria Decision Making Analysis. In particular, three different agronomic scenarios have been analyzed and a specific cultivar has been considered in order to ensure th…
Water erosion prediction by stochastic and empirical models in the Mediterranean: A case study in Northern Sicily (Italy)
2012
The present thesis aimed to explore the methodological advantages as well as limitations in applying different modelling approaches to predict water soil erosion in Mediterranean environments. The research was accomplished in the central northern part of Sicily (Italy), considering this region to be representative of Mediterranean environmental conditions. In this region soil degradation problems, due to water erosion are becoming more and more serious. Consequently, defining models being able to predict erosion susceptibility and to discriminate environmental factors causing erosion is important to protect soil resources. The prediction of the spatial distribution of soil erosion processes…