Search results for "computer.software_genre"

Data Mining of Specific-Domain Ontology Components

2008

This paper describes an approach for eliciting ontology components by using knowledge maps. The knowledge contained in a particular domain, any kind of text digital archive, is portrayed by assembling and displaying its ontology components.

Spanish Stock Returns: Rational or Weather-Influenced?

2002

Psychological studies support the existence of an influence of weather on mood. It could affect the behaviour of market traders, as suggested by some authors, and this should be reflected by the stock returns. This paper investigates the possible relation between weather and market index returns in the context of the Spanish market, in order to test the above hypothesis. In 1989, this market changed its open outcry trading system into a computerised and decentralised trading system. Therefore, it is possible to check the influence of weather variables (sunshine hours and humidity levels) on index returns in an open outcry trading system, and to compare it with a screen traded environment. T…

Author response: An open-source computational and data resource to analyze digital maps of immunopeptidomes

2015

OWL Orthogonal Extension

2012

It is critical for knowledge bases to capture the reality in direct and intuitive way. OWL ontology language was designed for this goal. In this paper we study the limitations of the OWL open world semantics for the task of knowledge capture and retrieval. We propose a new mechanism based on the closed world semantics that alleviates part of the limitations. Further we describe a system where both OWL and the new mechanisms interoperate together. Finally, we outline some immediate applications and further research directions.

Towards a software-defined Network Operating System for the IoT

2015

The heterogeneity characterizing the Internet of Things (IoT) landscape can be addressed by leveraging network operating systems (NOS)s. Current NOS solutions have been developed for traditional infrastructured networks: they do not take the specific features of fundamental IoT components such as wireless sensor and actuator networks into account. Accordingly, in this paper an innovative integrated network operating system for the IoT which is obtained as the evolution of the Open Network Operating System (ONOS) is proposed. This has been appropriately extended to enhance the recently proposed SDN-WISE platform for supporting SDN in wireless sensor networks and let it interact with standard…

Optimal pricing strategies in real-time electricity pricing environments: An Italian case study

2015

The energy market has changed radically over the last decade, mainly due to an increased penetration of renewable energies. Now the end users have directly access to the energy market and can actively take part to the electricity market. Electricity customers can indeed modify their behavior through Demand Response (DR), namely by means of pricing strategies that support a change in the end-users habits. This can be accomplished through a 'loads aggregator', a third party that collects the requests and signals for Active Demand-based services coming from the markets and the different power system participants. This paper describes a new framework able to optimally select the real-time prici…

Autonomous agent system using dispatching rules in the negotiation protocol

2002

In this paper, the most important results obtained by the simulated application of autonomous agent paradigms to a. real factory are presented. The classical rules of dispatching are compared with the autonomous agents approach. In particular, the possibility of redesigning the negotiation rules in terms of currency in order to take into account even non-time-related costs is considered. Finally, a new project on the effective application of the autonomous agent system to a test bed, modelling a simplified firm, is proposed.

Project Selection by Constrained Fuzzy AHP

2004

The selection of a project among a set of possible alternatives is a difficult task decision makers have to face. Difficulties in selecting a project arise because of the different goals involved and because of the large number of attributes to consider. Our approach is based upon a fuzzy extension of the Analytic Hierarchy Process (AHP). This paper focuses on the constraints that have to be considered within fuzzy AHP in order to take in account all the available information. This study demonstrates that by considering all the information deriving from the constraints better results in terms of certainty and reliability can be achieved.

On the importance of perspective and flexibility for efficiency measurement: effects on the ranking of decision-making units

2017

[EN] The efficiency of a firm can be assessed from several perspectives and using a variety of methodologies. Data envelopment analysis (DEA) is one of the most commonly used methodologies. Conventional DEA analyses or models allow one to classify decision-making units (DMUs) into efficient and inefficient ones based on their efficiency scores, which could also be used for ranking DMUs; however, such rankings generally show many ties. Super-efficiency DEA analyses have been proposed to address the tie issue. On the other hand, conventional DEA analyses only take account of a single perspective in estimating efficiency scores. Cross-efficiency DEA analyses provide an alternative that takes a…

An algorithm for simulating end-user behaviour in a real time pricing market

2015

The energy market has changed radically over the last decade, mainly due to an increased penetration of renewable energies. Now the end users have directly access to the energy market and can actively take part to the electricity market. Electricity customers can indeed modify their behavior through Demand Response, namely by means of pricing strategies that support a change in the end-users habits. This can be accomplished through a 'loads aggregator', a third party that collects the requests and signals for Active Demand-based services coming from the markets and the different actors of energy market. This paper describes a simulation framework to generate the simulated optimal behavior o…