Our laboratory has been working on a long series of projects in collaboration with numerous institutional and industrial partners, both nationally and across Europe. These projects are related to a diverse array of sectors such as industry, healthcare, education, and local government affairs.
Partner representatives:
Dr. Federico Pittino
Over the last decades, the advancements in microelectronic technologies allowed for the embedding of complex digital sensors in several systems, ranging from home appliances to health tracking devices and industrial plant machinery. The resulting systems are, in general, quite complex, given the possible heterogeneity of their components and the non-trivial ways in which sensors may interact. In critical domains, formal methods have been employed to ensure the correct behaviour of a system. However, a complete specification of all the properties that have to be guaranteed turns out to be often out of reach, due to the inherent complexity of the system and of its interactions with the environment in which it operates. To overcome these limitations, some approaches that complement formal verification with model-based testing and monitoring have been recently proposed. In this project, we investigate the opportunity of pairing monitoring with machine learning techniques in order to improve its ability of detecting critical system behaviours.
Partner representatives:
Dr. Gian Luigi Gigli
Obstructive sleep apnea syndrome (OSAS) is a breathing disorder characterized by episodes of obstruction of the upper airways during sleep, resulting in phasic reductions of blood oxygen saturation. The gold-standard for diagnosing OSAS is polysomnography, a relatively resource- and cost-intensive exam. Stroke is defined as an acute-onset neurological deficit lasting at least 24 hours, due to either ischemic or hemorragic damage to the brain. Patients with acute stroke undergo a 24-to-48-hour continuous monitoring of vital signs, including EKG, photoplethysmography for blood oxygen saturation and blood pressure. OSAS is a known risk factor for ischemic stroke; moreover, untreated OSAS in the acute phase of stroke treatment is related to a worse rehabilitation outcome. Unfortunately, the high incidence of acute stroke excludes the possibility for every patient with acute stroke to undergo a polysomnography. Thus, a simple and low-cost alternative screening method is definitely needed in order to detect OSAS. The aim of our project is to develop a model to predict the presence of OSAS based exclusively on data extracted from continuous monitoring of vital signs, which cannot currently be done by the medical staff.
Partner representatives:
Dr. Chris Marshall, Dr. Andrea Dalla Torre
Aim of the project is the study of spatial trajectories, both regarding their modelling and analysis. The management of trajectories for mobile devices is an emerging challenge, together with the problem of repeating patterns from the same device and between different devices. The addition of a notion of trajectory (path) arises from the observation that devices do not move randomly, and many of them typically perform some recurrent journey. Such a notion will allow one to explicitly use information arising from the sequence of known positions from a device. Moreover, rather than restricting the attention to the behaviour of a single device, some kind of devices mass behaviour may be identified.
Partner representatives:
Msc. Enrico Marzano
The ever more accurate search of deep analysis in customer data is really appealing to che companies and it is a really strong technological trend nowadays. Speech analytics is an extremely powerful methodology for gaining insights from unstructured data coming both from customer conversations and from human agents in a contact center. Among the several benefits speech analytics can deliver, training and performance improvement of human agents is an important driver for a better customer experience. In this project, a speech analytics process for an Italian contact center, that deals with call registrations extracted from inbound or outbound flows is developed.
Partner representatives:
Dr. Rita Puntaferro, Msc. Manuel Nobile
A Protocol Implementation Conformance Statement or, most commonly, PICS is a structured document which asserts which specific requirements are met by a given implementation of a protocol standard. It is often completed as a record of formal protocol conformance test results, and some automated testing systems machine-author a PICS as output. A potential buyer o user of the implementation can consult the PICS to determine if it meets his or her requirements. This project deals with the development of a system for the management of PICS documents, within the positioning systems application domain. It includes a PostgreSQL database and a web-interface based on NodeJS.
Temporal information plays a very important role in many analysis tasks, and can be encoded in at least two different ways. It can be modeled by discrete sequences of events as, for example, in the business intelligence domain, with the aim of tracking the evolution of customer behaviors over time. Alternatively, it can be represented by time series, as in the stock market to characterize price histories. In some analysis tasks, temporal information is complemented by other kinds of data, which may be represented by static attributes, e.g., categorical or numerical ones. In order to deal with such heterogenous datasets, we developed J48SS, a novel decision tree inducer capable of natively mixing static (i.e., numerical and categorical), sequential, and time series data for classification purposes. The novel algorithm is based on the popular C4.5 decision tree learner, and it relies on the concepts of frequent pattern extraction and time series shapelet generation. The model is capable of providing competitive classification performances, while generating highly interpretable models and effectively reducing the data preparation effort.
Partner representatives:
Dr. Chris Marshall, Dr. Andrea Dalla Torre
The main goal of the project is the development of methodologies, techniques, and tools for the management and the analysis of large amounts of data obtained from a spatio-temporal tracking of moving objects, basically only knowing their spatial positions at some specific time points. The term object refers to the generality of possible mobile devices that can be monitored, e.g., they can be associated with vehicles, animals, or people.
Partner representatives:
Msc. Enrico Marzano
Multi-channel contact centers are an increasingly important component of today’s business world. They serve as a primary customer-facing channel for firms in many different industries, and employ millions of operators across the globe. During their operation, they generate vast amounts of data, ranging from automatically registered logs to hand-written notes and voice recordings. Unfortunately, in most firms data of interest is unstructured, and stored in several databases, making their exploitation very hard. In this project, a decision support system for a multi-channel, multi-service contact center for front office business process outsourcing is developed, along with its prospective extension to a decision management system. Its core is an enterprise-wide data warehouse, based on the general concept of event. The proposed system supports a broad new set of advanced analysis tasks, ranging from operator performance assessment to call-flow simulation and data mining, providing operational and management staff the basis for taking effective operative and strategic decisions.
Partner representatives:
MSc. Fabio Bottega, Dr. Anna Pascoletti
The present research project is devoted to the analysis, modeling, and management of 3D spatial data about one or more buildings. The proposed solution must combine the advantages of BIM (Building Information Modeling) design, that supports that entire life cycle of buildings, with the advantages of GISs (Geographic Information Systems), that make it possible to locate spatial objects and phenomena in a geographical domain of interest. A special attention wlll be given to recent developments in the area of 3D data and framework management via Web. The focus of the project will be on IT asset management in a Web environment. A major functionality of the system will thus be the possibility of interacting with 3D models in an effective and efficient way. To summarize, the project aims at devising and developing a system architecture for the definition, visualization, and update of (IT) building assets via Web.
Partner representatives:
Msc. Ivano Sebastianutti
Computerized data management is playing an ever more increasing important role in Public Administration. Government agencies are now heavily dependent on the use of information and communications technology, in a certain sense, we can say that the data (digital information) are currently the `money 'of public administration. In every nation, the information managed by the public administration in general is a significant component of the overall information economy and knowledge. The data of the public administration are the foundation on which rely the decision-making process of public management itself. Originally, data and information were kept in paper form, with the following obvious problems: making difficult to find possible inconsistency between multiple copies of the same data and the need for a large space to keep the archives. Thanks to the advent of information technology has been possible to solve some of these problems. In particular, thanks to digital data, the employment problem of space is less and data retrieval is almost instantly done. That said, poor implementation of the computer system may cause problems (for example, problems of consistency or integrity of the data). For such reasons it is of fundamental importance, to provide automated methods for systematically accessing to the management of the available right information, making it more accessible and transparent to the citizens.
Partner representatives:
Msc. Ivano Sebastianutti
The project concerning a computerized system for the management of waste collection service, developed as part of the collaboration between the Department of Mathematics and Computer Science of the University of Udine and the municipality of Tavagnacco, a number of main areas of work They can be summarized as follows:
retrievals at home: call handling to book retreats at domicilo concerning bulky waste / durable, cardboard and green;
reports: management of reports of various kinds relating to the waste for which it is planned home collection.
Home collection is made for wastes incombranti / durables (such as appliances, furniture, etc.), The green waste (leaves, grass, etc.) And cartons. The first two categories of waste are available for taxpayers to type "individuals", the third for the "legal entities" (companies).
Partner representatives:
Msc. Ivano Sebastianutti
The data managed by public authorities have a significant space component. Careful management of space data increases the efficiency of the services provided and allows you to extract new information of interest from existing ones through appropriate spatial analysis. For example, addresses have clearly a spatial component, which is fundamental for many activities. The delivery of mail to the management of emergencies; Furthermore, the house number can be associated to information Identifyng to provide a placement of the subjects on the territory useful for statistical purposes,. Between public administrations that can benefit from the use of GIS systems, municipalities, which make up the mesh of elementary administrative territory, are located in the front row.
Partner representatives:
Msc. Ivano Sebastianutti
Waste management is now to be an issue of huge importance in the administration of each municipality. In 2009, many municipalities of the Friuli Venezia Giulia region, are switching from collection through dumpster mode door to door. This mode of collection introduced new scenarios, including the possibility of monitoring capillary the whole chain of waste: from the producer to the final treatment plant. The project, which took place within the scope of the project, developed as part of the Community Initiative Interreg IIIA-2000/2006 Italy-Slovenia, was used to test the traceability of waste within the context of the City Tavagnacco. The primary objective of the project is to create a system able to trace the entire chain of waste through the use of GSM, GPS and RFID.
The horse trail is a route walking horse, almost never paved, reaching and crossing places such as natural parks, reserves, forests, hills and valleys beyond, along lakes and rivers, and reach cultural places like archaeological sites, buildings historic houses and villages . The horse trail allows, therefore, the practice dell'equiturismo (tourism horse), but can also be used for the Walk (hiking) or mountain biking (cycling). Born as horseback riding trails mainly on horseback, in it it is generally provided seats and stage, ie stations equipped rest, preferably not too far apart, where rider and horse can find assistance, refreshments and the chance to spend the night (in guesthouses , cottages, farmhouses private or public shelters).
Following the proposed spatio-temporal conceptual model named ChronoGeoGraph (CGG), we also developed a software tool for designing spatio-temporal schemas. This software also provides the capability to check for integrity and consinstency over the designed schema.