KRSP (Knowledge Representation & Reasoning for the Semantic Web)
Instrumentation
- 6 Workstations;
- n. 1 Server.
Teaching Activities
- Security and Privacy;
- Semantic Web;
- Master theses on Security, Privacy, Knowledge representation.
Research Activities
We develop innovative extensions of OWL2, RDF, and related query and inference engines, supporting, for example, O.O.-like inheritance with exceptions and overriding, and inference-proof access control mechanisms.
Our technologies and design methodologies are targeted at managing and reasoning with very large knowledge bases, by supporting incremental ontology refinement and fast reasoning methods for profiles such as OWL2-EL and OWL2-DL.
Security, Privacy & Trust:
We develop innovative policy models and trust negotiation systems for access control in open distributed environments and pervasive computing scenarios.
Our technologies and design methodologies address dynamic and event driven access control decisions, as well as advanced support to policy authoring and verification, based on second generation explanation facilities.
We tackle usage control policy enforcement through the integration of cryptographic techniques and incentive compatible systems.
The main applications of our interest include large, knowledge based, and distributed information systems (for private companies, health organizations, etc). We focus on solutions for secure and performant knowledge utilization.
The KRSP Lab is involved in university-level teaching activities and theses (bachelor, master, PhD) related to knowledge representation and security.
Location
Via Claudio, 21 - Ed. 5 - Locale OE4
Operational capacity
6 work stations
Scientific Manager
Prof. Piero Andrea Bonatti
Tel.: 081 679307
email:This email address is being protected from spambots. You need JavaScript enabled to view it.
| Automatic Industrial Warehouse |
| The industrial warehouse is housed at the second floor of the DIETI and it is made of industrial components (see fig.1). The structure includes elements for handling pallets, both along horizontal and vertical directions. The elementary structures are rollers and elevators, while photocells are used for detecting the presence of the pallets. The system is controlled via remote I/O cards connected to a programmable logic controller (PLC) through the Profibus industrial network. The laboratory hosts PLCs by Siemens (S7-300 series with RFID module) and Allen-Bradley ControLogic. The programming of PLCs is allowed by a PC, which is connected to the controller via MPI and / or Ethernet network. The automatic warehouse is exploited by students for developing their final project for the Bachelor Degree in Automatic Control Engineering. |
| HIL and SIL platforms |
|
The laboratory hosts Software-in-the-Loop (SIL) and Hardware-in-the-Loop (HIL) platforms for analysis, synthesis and validation of non-linear control systems, discontinuous control systems, adaptive control strategies, distributed control of complex systems, automotive control systems, Intelligent Transportation Systems and mechatronic applications. The main set-up available are:
- set-up for analysis and control of discontinuous mechanical systems (cam-follower).
- set-up for the analysis and control of switching and nonlinear circuits.
- DSpace platform for rapid prototyping of control strategies. The platform is based on the DSpace ACE Kit 1104 system for the design, development and implementation of control laws through an easy-to-use real-time hardware. The system includes:
- DS1104 R&D Controller Board;
- Adapter cables;
- CDP Control Development Software Package;
- Microtec C Compiler;
- I/O boards: ACE1104_CP e ACE1104_CLP;
- CP1104 Connector Panel;
- CLP1104 Connector/LED Panel.
- Platform for design, simulation and validation of automotive control laws (for single vehicles or fleets of connected vehicles). Dynamic vehicle models can be exploited for HIL simulations in both DSpace and National environments.
- Platform for the simulation of fleets of autonomous connected vehicles in both urban and extra-urban traffic scenarios on smart roads.
- Labview cards and microcontroller boards for studying consensus in multi agents systems and wireless sensors networks.
|
Teaching Activities
The following teaching activities are currently carried out in the Automatic Control Laboratory:
- Development and testing of automation software for PLCs in Automation and Control Systems Technologies (Automation Engineering Degree Course) and IT Technologies for Industrial Automation (BSc in Computer Engineering)
- Development of thesis and Master thesis dealing with control and supervision of handling equipment
- Development of thesis and Master thesis dealing with intelligent transportation systems (ITS), automotive systems, control of fleets of autonomous and semi-autonomous vehicles connected via communication networks in smart roads
- Development of thesis and Master thesis dealing with cyber-physical systems and sensor networks
- Tutoring activities for students in Management Engineering, Biomedical Engineering and Automation Engineering
Research Activities
The following research activities are currently carried out in the Automatic Control Laboratory:
- Experimental validation of algorithms for fault diagnosis in handling systems;
- Design and validation of algorithms and strategies for intelligent transportation systems (ITS);
- Development and validation of ADAS solutions for automotive systems (Advanced Driver Assistance Systems);
- Design, development and validation of mechatronic systems and automotive control strategies;
- Design, development and validation of algorithms for cooperative and collaborative control of connected vehicles;
- Development of models and tools for the dynamic simulation of individual vehicles, vehicle's networks and traffic on smart roads.
Service Activities
The activities carried out at the Automatic Control Laboratory are closely related to teaching and research. No service activity is carried out with the equipment within this lab at present.
Location
Via Claudio, 21 - Ed. 3 - Locale 2.23
Operational capacity
The Laboratory has a working capacity proportional to its small dimensions. However, it is always used within the limits of its maximum operational capability through the careful planning of the activities.
Scientific Manager
Prof. Gianmaria Detommasi
Tel.: 081 7683853
email: This email address is being protected from spambots. You need JavaScript enabled to view it.
Technical Manager
Ing. Stefania Santini
Tel.: 081 7683914
email:This email address is being protected from spambots. You need JavaScript enabled to view it.
The Computational Vision and Neural Networks Lab (ViNe Lab) carries out research activities in the fields of Artificial Vision, Pattern Analysis and Recognition, Biometrics, Medical Imaging and Modeling of Biological Systems. From a theoretical point of view, ViNe Lab has extensive experience in image and signal processing, artificial vision and pattern recognition, machine learning and related applications. In particular, the group has developed skills in Machine Learning techniques, such as Support Vector Machine (SVM), Shallow Neural Networks, Deep Learning and Dictionary Learning.
Istrumentation
- n.4 workStation;
- n.2 calculation machines of a generation of a latest generation GPU for high performance computing.
Teaching Activities
- Machine Learning e Applicazioni (Mod.B) ;
- Computational Vision.
Research Activities
In particular, the research activity covers a wide range of application areas:In particular, the research activity covers a wide range of application areas:
- Analysis of neural data;
- Anatomical segmentation of diagnostic images;
- Indexing of images on databases of medical images;
- Biometrics, Video-Analytics and Forensic;
- Ethics and autonomous systems;
- Studies on the manipulation of objects and actions.
Service activities
None at the moment
Location
Via Claudio, 21 - Ed. 5B - Locale 0.E1
Operative Performance
5
Scientific Manager
Prof. Francesco Isgrò
Tel.: +39 081 67 9308
email: This email address is being protected from spambots. You need JavaScript enabled to view it.
Prof. Roberto Prevete
Tel. +39 081 67 9262
email: This email address is being protected from spambots. You need JavaScript enabled to view it.
Technical Manager
Ing. Vincenzo Vecchio
Tel.:081 76 85922
email:This email address is being protected from spambots. You need JavaScript enabled to view it.
Istrumentation
Teaching Activities
- Machine Learning and Applications Mod. A;
- Web Technologies;
- Software Engineering 2;
- Databases 2;
- Spatial Big Data .
Master theses in the lab's topics.
Research Activities
The Knowledge Management and Engineering Lab (KnoMELab) research focuses on topics connected with knowledge extraction and processing. Nowadays, the availability of large amounts of digital data enables the extraction of knowledge useful in many application domains. Often data are in textual form, partially or unstructured, expressed in either natural or artificial languages, including programming languages. Methodologies developed for machine learning, natural language processing, and information retrieval are applied to different domains, ranging from software engineering to biomedical data analysis. These research activities involve the use of various machine learning techniques, including Support Vector Machines (SVM), deep learning, clustering, and others.
KnomeLab has participated in various international and national research projects.
Service activities
None at the moment
Location
Via Claudio, 21 - Ed. 5 - Locale OE4
Operative Performance
6
Scientific Manager
Prof. Anna Corazza
Tel.: 081 679273
email: This email address is being protected from spambots. You need JavaScript enabled to view it.
The main research topics in DESSERT (DEpendable Systems and Software Engineering Research Team) concern methods and techniques for developing, evaluating and managing distributed, wired and / or wireless complex systems, with particular reference to critical systems and related reliability issues
Instrumentation
- n. 8 Personal computers;
- n. 1 Printer;
- n. 1 Technological cabinet;
- n. 2 Network switch;
- n. 1 Access point WiFi;
- n. 2 Server;
- n. 1 CISCO IP Phone;
Teaching Activities
- Software Engineering
- Real Time Systems
- Programming
- Operating Systems
- Reliability and Performance analysis of Computing Infrastructures
- Distributed Systems
Research Activities
- Verification and Validation of software system
- Safety Critical Systems
- Critical Infrastructure Protection
- Security and dependability in the cloud
- Holistic approaches for assessment of Dependability and security
Location
Via Claudio, 21 - Ed. 3 - Locale 4.07
Operational capacity
14 work stations
Scientific Manager
Prof. Domenico Cotroneo
Tel.: 081-7683824
Email: This email address is being protected from spambots. You need JavaScript enabled to view it.
Technical Manager
Ing. Vincenzo Vecchio
Tel.: 081-7685922
Email:This email address is being protected from spambots. You need JavaScript enabled to view it.
Sito web
http://www.dessert.unina.it/
The “G. Savastano” High Voltage laboratory was realized at the Institute of Electrotechnics. Basing on the idea of prof. G. Maione, who aimed at realizing a laboratory for teaching, researching and serving activities on components and systems for the transmission of the electrical energy, proff. A. Asta, G. Savastano e F. Gasparini hardly worked to realize in 1972 the structure, which is based on the features of the Munich University High Voltage laboratory.
The laboratory is unique in the context of Italian university laboratories. The structure is of about 500 m2, in height 18 m, equipped with acoustic and electromagnetic shields. The laboratory is realized with a ground system network, realizing a ground resistance of less than 0.3 Ω.
Instrumentation
- SIEMENS generator for high voltage AC application: dc drive, single-phase synchronous machines (rated voltages 0-5 kVrms, frequency range 16-150 Hz), double stage transformer (rated output voltage 1350 kVrms, capacitive divider, control desk.
- PASSONI & VILLA HV pulse Marx generator: (12 stages, 2400kV Vmax, 36 kJ), load capacitor, ohmic compensated voltage divider
- Haefely 400kV impulse divider
- Sphere-gap device for HV (1m diameter) measurements and calibration (up to 1000 kV)
- Sphere-gap device (12,5 cm diameter) for HV measurements and calibration (up to 300 kV)
- PASSONI & VILLA Transient high current capacitor bank (10 kV, up to 300 kA), HEINZENBERG recharge device, control desk
- Maxwell fast discharge capacitor bank (25 kV, over 400 kA, 8 µs time-to-crest)
- Combined voltage regulator and transformer for 0-100 kV, 50 Hz tests
- Faraday cage (3 m x 2 m x 3 m)
- High speed HITACHI camera (32000 f/s)
- Haefely system for partial discharge detection, including Schering bridge
- Haefely system for capacitance and loss factor measurements (100 kV, 50 Hz), including transformer bridge
- SIEMENS Voltage Transformer 35000 V – 100V
- Current Transformer TA 1/100
- Tektronik oscilloscopes (9 bit, 1 GHz, 5 GS/s)
- FOM bridge crane (10 tons)
Teaching Activity
Laboratory experiences for the course of:
- Fondamenti dei Sistemi Elettrici” (Bachelor Electrical Engineering)
- Materiali e Tecnologie Elettriche” (Bachelor Electrical Engineering)
- Modellistica Elettromagnetica dei materiali” (Master Science Courses of Electrical Engineering and Material Engineering)
Research Activity
- High Voltage Physics and Engineering
- Destructive and non-destructive diagnostics on materials
- Thermal tests on XLPE power cables
- Lightning tests on materials and systems
Serving Activity
Serving and tests activities for Companies operating in the sector of High Voltage (e.g.: insulator, cable, breaker, bushing, transformer, material, components, innovative layout)
Location
Via Claudio, 21 - Ed. 3A - Piano terra - Locale T.20
Operational capacity
≤10
Scientific Managers
Prof. Mario Pagano
Tel.: 081 768 3504
Email: This email address is being protected from spambots. You need JavaScript enabled to view it.
Prof. Carlo Pretarca
Tel.: 081 768 3245
Email: This email address is being protected from spambots. You need JavaScript enabled to view it.
Technical Manager
Ing. Alessandro Teotino
Tel.: 081 76 83241
Email: This email address is being protected from spambots. You need JavaScript enabled to view it.
