Search results for "Intelligent"

Techno-economical inspection of high-speed Internet connection for trains

2008

Some attractive service scenarios for Railways' Intelligent Transport Systems (RITS) in three different user segments, that is, passengers, freight companies and train operator's in-house customers, are presented. The case study covers the analysis of customer needs and techno-economic evaluations. The analysis indicates that Flash-OFDM technology provides promising pre-stage solution for the train connections in Finland. Also, the WiMAX-based high-speed Internet access for passengers may be profitable in the most heavily operated railway leg in Finland. The sensitivity analysis shows that the most crucial parameters for the case are `User Share', `Average Revenue per User' and `WiMAX Cell …

IN service specification using the KANNEL language

1995

KANNEL is an application-oriented language for protocol engineering, with integrated support for all the main aspects of implementing typical communications software. Intelligent network services with distributed and interacting components share a number of central features with communications protocols, thus bringing in the possibility of applying protocol engineering techniques within the area of intelligent networking. To verify this view, the KANNEL language is applied to the specification of an intelligent calling card service. The specification includes both visual and textual notations of KANNEL.

Intelligent Energy Management System

2009

Energy management is nowadays a subject of great importance and complexity. It consists in choosing among a set of sources able to produce energy that will give energy to a set of loads by minimising losses and costs. The sources and loads are heterogeneous, distributed and the reaction of the system, the choice of sources, must be done in real-time to avoid power outage. The goal of this paper is to present a system able to self-regulate a heterogeneous set of power sources and loads organised as a coherent group of entities that is called micro-grid, in order to optimize several criteria such as: cost and efficiency. This system is based upon the Multi-Agent Systems paradigm. Each micro-g…

I sistemi ITS per la sicurezza dei veicoli

2010

Integration of a structural features-based preclassifier and a man-machine interactive classifier for a fast multi-stroke character recognition

2003

A transputer-based parallel machine for handwritten character recognition is proposed. An algorithm based on structural features and on a tree classifier was used to accomplish the pre-classification of the unknown sample in order to speed up the recognition process. The algorithm for the final classification is based on the description of the strokes through Fourier descriptors. The learning phase is accomplished through a man-machine interactive process. The proposed system can expand its knowledge base. A special representation of this knowledge base is proposed in order to record a great amount of data in a suitable way. A fast multistroke handwritten isolated character recognition syst…

Assessment of indoor illuminance and study on best photosensors' position for design and commissioning of Daylight Linked Control Systems. A new meth…

2018

Abstract Artificial lighting systems have to ensure appropriate illuminance with high energy efficiency according to best design practice and technical standards. These aims can be tackled, by incorporating a Daylight linked control system. However, the system behaviour is strongly influenced by several factors and, in particular, by the sensors' position. Indeed, very often the illuminance on work-plane is not fully correlated with illuminance measured by the photo-sensor used to control the luminaires. This fact leads to wrong information for the Daylight linked control systems affecting its efficacy. The artificial intelligence of Neural Networks can be exploited to provide a method for …

An Intelligent Car Driver for safe Navigation with Fuzzy Obstacle Avoidance.

2009

In order to respond effectively to the environment uncertainties, autonomous vehicles are generally equipped with sensors. The proposed car guidance system is equipped with an intelligent controller, based on fuzzy logic, which calculates the speed and wheels orientation in order to follow a path while it is avoiding unknown obstacles. Better fluidity of driving are obtained using future-path, car dimension and car position prevision. Vehicle symmetries also speed-up and simplify the guidance system reducing the inputs and the rules numbers.

CONTROLLO DELLA CONVERSIONE DELL'ENERGIA ELETTRICA IN MICRORETI INTELLIGENTI

La limitatezza delle fonti fossili, insieme agli effetti ambientali del loro sfruttamento, hanno portato la ricerca a trovare fonti energetiche alternative poco inquinanti e facilmente reperibili. Lo sviluppo delle fonti rinnovabili e la crescente attenzione verso l’efficienza hanno permesso l'integrazione di un nuovo sistema di distribuzione dell’energia non più centralizzato, ma basato sulla generazione distribuita, permettendo all'occorrenza anche il funzionamento in autonomia di sottosistemi della rete comprendenti generazione locale e carichi, detti microgrid (µG). Una µG (fig.1) è quindi un insieme di carichi e sorgenti di energia operanti come un unico sistema [1] e che presenta innu…

Exploiting the Human Factor in a WSN-Based System for Ambient Intelligence

2009

Practical applications of ambient intelligence cannot leave aside requirements about ubiquity, scalability, and transparency to the user. An enabling technology to comply with this goal is represented by wireless sensor networks (WSNs); however, although capable of limited in-network processing, they lack the computational power to act as a comprehensive intelligent system. By taking inspiration from the sensory processing model of complex biological organisms, we propose here a cognitive architecture able to perceive, decide upon, and control the environment of which the system is part. WSNs act as a transparent interface that allows the system to understand human requirements through impl…

An Adaptive Bayesian System for Context-Aware Data Fusion in Smart Environments

2017

The adoption of multi-sensor data fusion techniques is essential to effectively merge and analyze heterogeneous data collected by multiple sensors, pervasively deployed in a smart environment. Existing literature leverages contextual information in the fusion process, to increase the accuracy of inference and hence decision making in a dynamically changing environment. In this paper, we propose a context-aware, self-optimizing, adaptive system for sensor data fusion, based on a three-tier architecture. Heterogeneous data collected by sensors at the lowest tier are combined by a dynamic Bayesian network at the intermediate tier, which also integrates contextual information to refine the infe…