Massimiliano PIRANI

Pubblicazioni

Massimiliano PIRANI

 

49 pubblicazioni classificate nel seguente modo:

Nr. doc. Classificazioni
26 4 Contributo in Atti di Convegno (Proceeding)
21 1 Contributo su Rivista
1 2 Contributo in Volume
1 5 Altro
Anno
Risorse
2022
Towards a formal model of computation for RMAS
Procedia Computer Science
Autore/i: Pirani, M.; Bonci, A.; Longhi, S.
Editore: Elsevier B.V.
Classificazione: 4 Contributo in Atti di Convegno (Proceeding)
Abstract: RMAS is a multi-agent system architecture and associated model of computation that has been recently proposed as promising framework for autonomic computation and as viable implementation means for industrial agents. RMAS is proposed as an effective tool in the realization of the full-fledged concept of cyber-physical systems of systems, in agreement with new visions of the digital future and prominent standardization efforts like the IEC 61499. Currently, there is the need to establish a solid formalism for the model of computation of RMAS in order to harness and fully express its possibilities. In particular, this model should bridge the disciplines of control and systems engineering and computer science, whilst concerning artificial intelligence. This work proposes a first operational step in this direction. A formalism of the RMAS model of computation is established for the first time, and a complete definition of hierarchical nested levels of RMAS units is proposed. This work constitutes the ground for industry-ready technological instances of the RMAS architecture.
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/300687 Collegamento a IRIS

2021
Towards Sustainable Models of Computation for Artificial Intelligence in Cyber-Physical Systems
IECON Proceedings (Industrial Electronics Conference)
Autore/i: Pirani, M.; Dragoni, A. F.; Longhi, S.
Editore: IEEE Computer Society
Classificazione: 4 Contributo in Atti di Convegno (Proceeding)
Abstract: This paper confronts with a reflection about a deep problem in computational models for cyber-physical systems (CPS). The problem arises in the contact between digital computing and the physical realm, and affects heavily the design, modeling, and implementation of CPS. Problems are exacerbated by the introduction of artificial intelligence and autonomy in industrial applications that have to meet sustainability of solutions, both in technical and societal sense. After a brief review, a new perspective and position on the future of sustainable CPS is addressed, and a pragmatic research path is presented. The RMAS (Relational-model Multi-Agent System) architecture is proposed as a test framework for the deep integration of real-world semantics into the advancements brought about by the digital transformation wave.
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/293463 Collegamento a IRIS

2021
On the Synthesis of Holonic Management Trees
IEEE International Conference on Emerging Technologies and Factory Automation, ETFA
Autore/i: Pirani, M.; Bonci, A.; Cervellieri, A.; Longhi, S.
Editore: Institute of Electrical and Electronics Engineers Inc.
Classificazione: 4 Contributo in Atti di Convegno (Proceeding)
Abstract: This paper presents current research on automated synthesis in the context of the Holonic Management Tree (HMT) technique. HMT has been currently challenged in robotics, manufacturing, construction, but in general this technique concerns the management of complexity that emerges in cyber-physical systems context. Although effective, the technique lacks a systematic and possibly automatic process of construction of the HMT, which impinges with artificial and extended intelligence concerns. A methodological work-in-progress position for the automation of HMT synthesis is proposed for the first time, and as a first step for an enduring but disruptive research effort.
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/300693 Collegamento a IRIS

2021
Innovative Approach in cyber physical system for smart building efficiency monitoring
IEEE International Conference on Emerging Technologies and Factory Automation, ETFA
Autore/i: Bonci, A.; Cervellieri, A.; Longhi, S.; Pirani, M.
Editore: IEEE - Institute of Electrical and Electronics Engineers Inc.
Classificazione: 4 Contributo in Atti di Convegno (Proceeding)
Abstract: Innovative technologies and comfort-energy efficiency measures are nowadays well known and widely spread, and the main issue is to identify those that will be proven to be the more effective and reliable in the long term. With such a variety of proposed measures, the decision-maker has to compensate environmental, energy, financial and social factors to reach the best possible solution that will ensure the maximization of the comfort and energy efficiency of smart buildings satisfying at the same time the building's final user/occupant/owner needs. A work-in-progress methodological position investigates the feasibility of applying new techniques to improve the comfort and energy efficiency in smart buildings so that the maximum possible number of alternative solutions and energy efficiency measures may be considered. A simple example is used to identify the potential strengths and weaknesses of the proposed approach and highlight potential problems that may arise.
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/300692 Collegamento a IRIS

2020
Development of a BIM-based holonic system for real-time monitoring of building operational efficiency
FRONTIERS OF ENGINEERING MANAGEMENT
Autore/i: Carbonari, Alessandro; Messi, Leonardo; Naticchia, Berardo; Vaccarini, Massimo; Pirani, Massimiliano
Classificazione: 1 Contributo su Rivista
Abstract: In the wide context of facility management, several processes, such as operations, maintenance, retrofitting, and renovations, ensure that buildings comply with the principles of efficiency, cost-effectiveness, and indoor comfort. Apart from ordinary operation, facility management is responsible for the renovation of and long-term performance improvement of building facilities. In such a scenario, the cyber—physical system (CPS) paradigm with holonic architecture, which is the focus of this study, can successfully guide the operation management and long-term refurbishment processes of buildings. Analogous to the manufacturing field, the developed CPS maximizes holons’ self-configuration and self-organization and overall throughput effectiveness metrics to detect the best corrective actions toward system improvements. Consequently, suggestions and lessons learned from the evaluation of building efficiency are redirected to the building information model. Hence, the digital model acts as a repository of currently available equipment for operations management and the history of diagnoses that support decision-making during the maintenance, retrofitting, and renovation processes. Evidently, the repeated detection of a specific issue, which is unaffected by operations management, should be considered an opportunity to act and enhance the performances of existing building components. Similar to a goods-producing industry, the building management system developed in this study applies the aforementioned methodology to provide services related to indoor comfort and building health. This approach indicates that a method for automatic real-time diagnosis is tested in a case study consisting of a multi-use and large public building. The current paper, which is an extended version of the one presented in the Creative Construction Conference 2018, deepens the decision support tool and the supervision policy. Moreover, the developed system is contextualized by providing an example of use case and highlighting the step forward in the field of smart buildings.
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/290352 Collegamento a IRIS

2020
IEC 61499 Device Management Model through the lenses of RMAS
Proceedings of the International Conference on Industry 4.0 and Smart Manufacturing (ISM)
Autore/i: Bonci, Andrea; Longhi, Sauro; Pirani, Massimiliano
Editore: Elsevier
Classificazione: 4 Contributo in Atti di Convegno (Proceeding)
Abstract: The RMAS (relational-model multi-agent-system) architecture has been proven as promising multi-agent architecture towards the introduction of autonomic intelligence for industrial agents. In particular, it has been proven also suitable for the enforcement of some parts of the reference model in the IEC 61499 standard for distributed adaptive automation and control systems, namely the Resource model and the Function Block model. In this paper the focus is extended to the Device Management model of the standard, in order to highlight how RMAS can express the essential self-* capabilities of autonomic industrial agents also in the context of this standard’s reference model. This step is considered major for the factual introduction of AI in industrial playground, with keen attention to a technology that guarantees the explainability, and so controllability and quality of the intelligent automation solutions for industry.
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/286399 Collegamento a IRIS

2020
System Thinking Approach for Digital Twin Analysis
2020 IEEE International Conference on Engineering, Technology and Innovation (ICE/ITMC)
Autore/i: Bianconi, Carlo; Bonci, Andrea; Monteriu', Andrea; Pirani, Massimiliano; Prist, Mariorosario; Taccari, Leonardo
Editore: IEEE Institute of Electrical and Electronics Engineers Inc.
Classificazione: 4 Contributo in Atti di Convegno (Proceeding)
Abstract: The importance of Digital Twins in research and industry is continuously increasing. Their applications, studied and implemented to date, confirm that they are a valuable tool in the evolution process from the traditional factory towards the Smart Factory, in the direction promoted by Industry 4.0. Different definitions of Digital Twin have been proposed by the scientific community with the aim of providing the one that could uniquely and consistently describe all the applications already featured. Such effort to create a unique definition of Digital Twin is very important since it may allow researchers to have guidelines for better understanding the different aspects of its main concepts. The present paper reports a systematic research on the state of the art, especially from recent literature, to show the main issues that could not allow univocal definition of Digital Twin. The aim of this work is to apply the principles of System Thinking to the definitions of Digital Twins already presented in literature. The result of this approach has made possible to represent the well-known concepts in a completely new conceptual framework allowing a potential strengthening of both the theoretical foundations and the tools with the aim to support the development of Digital Twins.
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/284697 Collegamento a IRIS

2020
RMAS architecture for industrial agents in IEC 61499
PROCEDIA MANUFACTURING
Autore/i: Bonci, Andrea; Longhi, Sauro; Lorenzoni, Emanuele; Pirani, Massimiliano
Classificazione: 1 Contributo su Rivista
Abstract: This paper analyses an architecture, recently proposed and under development, that aims to render the design and the development of multi-agent systems viable for the vision and the needs of the industry in the cyber-physical systems era. Prominent standardization work is currently focusing on the IEC 61499 standard as a most promising basis for the integration of industrial agents in the real field. In this context, authors propose RMAS (Relational Multi-Agent System) as a possible useful aid and means for the researches and the practices in the field. On this purpose, the compliances and the possible overlaps between the major features and capabilities of RMAS and IEC 61499 are assessed and discussed. This work aims to constitute a position paper for the future possible developments around IEC 61499.
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/276856 Collegamento a IRIS

2020
Symbiotic cyber-physical Kanban 4.0: an Approach for SMEs
2020 25th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA)
Autore/i: Stadnicka, Dorota; Bonci, Andrea; Lorenzoni, Emanuele; Dec, Grzegorz; Pirani, Massimiliano
Editore: IEEE Institute of Electrical and Electronics Engineers Inc.
Classificazione: 4 Contributo in Atti di Convegno (Proceeding)
Abstract: This paper discusses the problems of material and information flow in a complex product manufacturing process. It presents an ICT solution that augments Kanbans in order to enable flexible and pervasive control on state and delivery of material on workstations. The paper deliberates methods and tools that can be possibly applied in such production systems. The best-practices and modern technologies are taken into consideration in the context of small-medium enterprises (SMEs). It is assumed that important factors and constraints are: low costs, low instrumentations, and high flexibility. The complexity of products and the manufacturing systems makes the management and control process even more difficult. The deployment of distributed intelligence and decision support systems can facilitate the compliance with industrial standards and the migration towards the automation levels required by industry 4.0 also in SMEs.
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/284698 Collegamento a IRIS

2019
RMAS Architecture for Autonomic Computing in Cyber-Physical Systems
IECON 2019 - 45th Annual Conference of the IEEE Industrial Electronics Society
Autore/i: Bonci, A.; Longhi, S.; Pirani, M.
Editore: Institute of Electrical and Electronics Engineers Inc.
Classificazione: 4 Contributo in Atti di Convegno (Proceeding)
Abstract: Autonomic computing initiative aimed to develop computer systems capable of self-management in order to overcome the rapidly growing complexity of computing systems management. Similar complexity affects the management and control of the systems in the industry of the future that currently relies on the advancements in cyber-physical systems frameworks. With this position paper, the RMAS architecture is checked against the major properties of autonomic systems. RMAS is proposed as a methodological and technological platform to reduce the barriers that complexity poses to further growth in intelligent automation and control.
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/276855 Collegamento a IRIS

2019
Holonic Management Tree Technique for Performance Improvement Over Self-Similar System Structures
MANAGEMENT STUDIES
Autore/i: Bonci, Andrea; Longhi, Sauro; Pirani, Massimiliano
Classificazione: 1 Contributo su Rivista
Abstract: This paper presents the detailed definition of technique for the automation of the management of complex business systems, whether they are constituted of services and productions. The technique has been referred here for the first time as Holonic Management Tree (HMT) and has been consistently contextualized into undergoing research on technological frameworks for the management cybernetics, in which the concept of viable system represents a fundamental stance. HMT is based on the use of recursive formulas over self-similar holonic structures for the attainment of continuous performance improvement in a complex and continuously evolving process. The problem is associated to a recursive tree of self-similar structures of which in this paper we discuss the interpretation with respect to knowledge modeling domain. The basic expressions for the computation of the 2nd degree trees are provided and explained in detail by means of an example in lean management context. Moreover, this work presents and discusses the expressions that handle the implementation of the n-th degree case as a recurrent abstraction of the basic and simple 2nd degree computation.
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/266232 Collegamento a IRIS

2019
Holonic System for Real-Time Emergency Management in Buildings
Proceedings of 36th International Symposium on Automation and Robotics in Construction
Autore/i: Naticchia, B.; Messi, L.; Pirani, M.; Bonci, A.; Carbonari, A.; Tolve, L. C.
Classificazione: 4 Contributo in Atti di Convegno (Proceeding)
Abstract: Emergency management can benefit from advanced information and communication technology (ICT), since it can support officers in charge of emergency management to deal with urgent decision within a really short deadline. Further enhancement can derive from the application of holonic systems, which typically deal with the unexpected. In fact, unexpected events may prevent the application of emergency plans, e. g. evacuation of people outside of a building in fire through a network of pre-determined paths. The holonic emergency management system, proposed in this paper, guarantees the shift to a contingent approach, leveraging the flexibility and adaptability to changing scenarios deriving from the holonic theory. Last but not least, the BIM integration provides all the building’s topological information. Such a technology can exploit general data to automatically detect unconventional ways out and arrange rescue operations in real-time. The developed system has been applied to the fire safety management of a large building in a university campus. The BIM model of the case study has been imported in a game environment where an unconventional pathfinding has been experienced.
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/271350 Collegamento a IRIS

2019
Prospective ISO 22400 for the challenges of human-centered manufacturing
IFAC PAPERSONLINE
Autore/i: Bonci, A.; Longhi, S.; Pirani, M.
Classificazione: 1 Contributo su Rivista
Abstract: The standard definition of the key performance indicators for the manufacturing operations management level could not resist the incoming challenges and models of the 4th industrial revolution, which currently relies on the paradigms abiding by the cyber-physical system of systems vision. By means of a brief survey of the current trends, a set of recommendations are provided in order to open discussions for the foreseen evolutions of the ISO 22400 standard. A focus is made on the role of the humans in their increasingly closer collaboration with the pervasive autonomous intelligent entities in the context of a human-centered manufacturing. It is contended that there is still some room for a review of the definitions of the performance indicators and their structure that should aim to reflect human and intelligent automation aspects in an integrated framework.
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/276848 Collegamento a IRIS

2019
A cyber-physical system approach for building efficiency monitoring
AUTOMATION IN CONSTRUCTION
Autore/i: Bonci, Andrea; Carbonari, Alessandro; Cucchiarelli, Alessandro; Messi, Leonardo; Pirani, Massimiliano; Vaccarini, Massimo
Classificazione: 1 Contributo su Rivista
Abstract: Digitalised models can play a key role in the management of building life-cycle. This paper focuses on the challenges connected to the operation phase of buildings, when the adoption of BIM can make information retrieval and management easier and more efficient. More specifically, a BIM-based cyber-physical system for the automated monitoring of buildings during their regular operation is proposed and tested by means of a customised simulator. The system automatically works out key performance indicators based on the overall throughput effectiveness (OTE) metric, assessing both the overall efficiency and the efficiency of every sub-system integrated in the building. Thus, assessments of the contribution of every sub-system to the operation of the building are performed in real-time. In addition, the metric proposed can help manage multi-objective real-time control. The system is self-reconfigurable thanks to the self-similarity assumption of the computational structure that is designed as a holarchy of holonic systems. The first application reported in this paper shows that when intelligence is embedded at both lower and higher levels, it is possible to generate information that is then used to update the digital model, developed as a BIM. As a result, the digital model becomes the mirror of the physical system and stores the actual performances recorded by the building to support facility managers in making decisions.
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/263580 Collegamento a IRIS

2019
Tiny Cyber-Physical Systems for Performance Improvement in the Factory of the Future
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS
Autore/i: Bonci, Andrea; Pirani, Massimiliano; Longhi, Sauro
Classificazione: 1 Contributo su Rivista
Abstract: The present work extends a performance metrics method for the treatability of some classes of problems in manufacturing automation that can be represented as a systemof- systems controlled by a cyber-physical infrastructure. With the use of proper distributed and recursive computing approaches, the complexity of the control of cyber-physical systems can be attacked through a unified and human-centered simple framework that complies with the forthcoming pervasive computing challenges posed by the smart manufacturing scenarios. The aim of this work is to provide the proof of concept of an effective methodology that relies on the decomposition of a production goal into a hierarchical self-similar structure of subgoals for the steering of the system towards improved effectiveness. An implementation of the technique is proposed by means of multi-actor and multi-database paradigms. The simulation of an implementation and an experimental deployment on low cost embedded device is provided.
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/259876 Collegamento a IRIS

2018
Holonic Overlays in Cyber-Physical System of Systems
IEEE International Conference on Emerging Technologies and Factory Automation, ETFA
Autore/i: Bonci, Andrea; Pirani, Massimiliano; Carbonari, Alessandro; Naticchia, Berardo; Cucchiarelli, Alessandro; Longhi, Sauro
Editore: IEEE Institute of Electrical and Electronics Engineers Inc.
Classificazione: 4 Contributo in Atti di Convegno (Proceeding)
Abstract: This paper gives a novel perspective about the role of the self-similarities in the modelling of system of systems with cyber-physical representation. With the adoption of virtual overlays of dynamically self-adapting holarchies, the emergent characteristics and behaviors of the information and automation systems are mapped into a recursive tree of autonomic components that can be typically realized through holonic multiagent systems. The nested computing structures that are used to achieve a productivity goal are kept simple by means of self-similarities. This simplification provides a viable methodology for the pervasive management and the automated programming of the holonic components. The technique described is suitable for a prompt adoption on a vast class of manufacturing, robotics, mechatronics, and facility management processes, whilst enabling a continuum between humans and machines. An advantage of the proposed method is its agnosticism with respect to most of the specific but heterogeneous technological means adopted in the already existent automation realizations.
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/263568 Collegamento a IRIS

2018
Collaborative intelligence cyber-physical system for the valorization and re-use of cultural heritage
JOURNAL OF INFORMATION TECHNOLOGY IN CONSTRUCTION
Autore/i: Bonci, Andrea; Clini, Paolo; Martin, Rafael; Pirani, Massimiliano; Quattrini, Ramona; Raikov, Alexander
Classificazione: 1 Contributo su Rivista
Abstract: This paper is a proposition of methodological and technological approaches that try to constitute a framework that introduces modern artificial intelligence (AI) technologies for decision-making in the adaptive reuse of cultural heritage (CH) processes. The research aims to accelerate and improve the quality of adaptive CH re-use. The complexity of the problem derives from some causes of different nature: lack of attention to this problem from the public administration and private investors; decision-making processes complicated by the need to connect with experts, located in different countries. Most professionals, related to the CH management, cannot access detailed data about already existing successful initiatives. The specific objective and goal of the research is the creation of an AI framework and eco-system for supporting the development and implementation of innovative business and governance models to fill up the investment gap in the adaptive re-use practices. The paper shortly describes the first steps for creating a platform designed and developed to assist and advice public entities, networked experts, private entrepreneurs and citizens in actions aiming at the valorisation of the historic and CH asset and its integration in different groups of countries to boost growth, job opportunities and social benefits, under overall sustainability constraints. The technical solutions here adopted are based on convergent methodology and networked expertise (e-expertise) technology, open data models and active knowledge extraction and processing, machine learning, collective intelligence, recommendation systems and predictive analytics, CH adaptive re-use, innovation business, and models and case-based reasoning methods. Examples of case studies giving the inception for the project components are given.
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/263725 Collegamento a IRIS

2018
Simulation Analysis and Performance Evaluation of a Vibratory Feeder Actuated by Dielectric Elastomers
2018 14th IEEE/ASME International Conference on Mechatronic and Embedded Systems and Applications, MESA 2018
Autore/i: Bonci, Andrea; Rizzello, Gianluca; Longhi, Sauro; Naso, David; Pirani, Massimiliano; Seelecke, Stefan; Lorenzoni, Emanuele
Editore: IEEE Institute of Electrical and Electronics Engineers Inc.
Classificazione: 4 Contributo in Atti di Convegno (Proceeding)
Abstract: The present paper deals with a novel, alternative excitation device for vibratory feeders which is based on the use of smart materials for motion generation. In particular, the paper investigates how to improve the performance of a vibratory conveyor by replacing the traditional electromagnetic actuator with a new excitation system based on innovative dielectric elastomer membranes. One of the main research goals consists in the design of the dielectric elastomer actuator (geometry, number of membrane layers) in order to ensure to the conveyor the same basic vibratory performance of a conveyor driven by electromagnetic actuator. At the same time, it is expected that the novel actuator solution leads to improved characteristics in terms of energy consumption and weight. A comparative performance analysis has been carried out in terms of frequency, transient, energy, and power responses. The simulation tests performed to characterize the dynamic behavior of the system have been described along with the promising preliminary results.
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/263546 Collegamento a IRIS

2018
Holonic Management Systems for Resilient Operation of Buildings
35th International Symposium on Automation and Robotics in Construction
Autore/i: Pirani, Massimiliano; Messi, Leonardo; Carbonari, Alessandro; Bonci, Andrea; Vaccarini, Massimo
Classificazione: 4 Contributo in Atti di Convegno (Proceeding)
Abstract: Building management systems monitor and control building performances in real-time. Most control systems, which have been developed in the last decade, achieve the required performances relying on a centralised and hierarchical framework. In the regular operation phase, these systems are usually able to efficiently reach their goals, whereas they often fail to stick to pre-determined targets in the presence of unforeseen disturbances. As a matter of fact, traditional control systems suffer complex unforeseen scenarios that cannot be modelled by the analytics and knowledge integrated in these systems, because hierarchical systems strive to keep full control at any level. As an alternative, holonic management systems, which have been successfully applied in the manufacturing field, can tackle this type of drawbacks. The flexibility of their elementary units, the holons, makes it possible to avoid the rigid structure of hierarchical systems so as to respond quickly to disturbances and dynamically re-arrange their structure. In this paper, a first holonic computing structure is developed for indoor comfort management in an office room. The structure developed can drive both the operation management phase and the medium- and long-term measurement of performances. The former is implemented by means of a sequence of specific minimum cost actions which is based on the overall throughput effectiveness (OTE) metrics. The latter exploits the same OTE metrics to suggest corrective and improvement actions. Finally, OTE diagnoses are re-directed to a BIM model to support decision making for long-term improvement actions on the building facility.
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/263450 Collegamento a IRIS

2018
Mixed Reality Approach for the Management of Building Maintenance and Operation
35th International Symposium on Automation and Robotics in Construction
Autore/i: Naticchia, Berardo; Corneli, Alessandra; Carbonari, Alessandro; Bonci, Andrea; Pirani, Massimiliano
Classificazione: 4 Contributo in Atti di Convegno (Proceeding)
Abstract: Building Information Modelling (BIM) has been indicated as the right tool to provide the construction industry with the productivity boost that has been lacking in the last 40 years. This momentum finds its highest fulfilment in the support provided by BIM models to knowledge management and the automation of process. However, the management of information flow is still far from its automation breakthrough and, as far as operation and maintenance are concerned, knowledge about procedures is often incomplete. Moreover, processes are often do not undergo optimisation and the individual steps to be performed are not communicated, but in facility management (FM) the transmission of know-how is fundamental particularly because some operations are dangerous or risky. In this framework, Mixed Reality (MR) represents a powerful means to communicate the correct data concerning both geometric features to be considered and the standard procedure to be followed. The aim of this paper is to investigate the possibility of exploiting the benefits provided by these technologies to achieve automation in the transmission of information and optimisation of procedures, improving efficiency and productivity thanks to a better understanding of the operations to be carried out and the reduction of errors. With the support of a head-mounted display (HDM) device with a see-through screen capable of presenting 3D virtual objects, this research tries to combine information from a BIM model with reality to study the benefits for maintenance personnel.
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/263452 Collegamento a IRIS

2018
Performance Improvement in CPSs over Self-similar System Structures
IFAC-PAPERSONLINE
Autore/i: Bonci, Andrea; Pirani, Massimiliano; Mansanta, Chiara; Longhi, Sauro
Classificazione: 1 Contributo su Rivista
Abstract: The present paper presents the further developement of a solution for the performance improvement of distributed cyber-physical systems that approximate complex productive processes, introducing self-similarities in holonic systems. The proposed methodology provides a viable solution for a manufacturing system that integrates robotics, mechatronics and automation systems at different levels. Performance measurements and bottlenecks detection on critical production paths achieve a pervasive control of the effectiveness of associated the system-of-systems by means of a well-defined sequence of specific and minimal corrective actions. This work presents an extension to n-th degree of formulas previously applied to tree structures of the 2nd degree.
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/259878 Collegamento a IRIS

2018
A Database-Centric Framework for the Modeling, Simulation, and Control of Cyber-Physical Systems in the Factory of the Future
JOURNAL OF INTELLIGENT SYSTEMS
Autore/i: Bonci, Andrea; Pirani, Massimiliano; Longhi, Sauro
Classificazione: 1 Contributo su Rivista
Abstract: The factory of the future scenario asks for new approaches to cope with the incoming challenges and complexity of cyber-physical systems. The role of database management systems is becoming central for control and automation technology in this new industrial scenario. This article proposes database-centric technology and architecture that aims to seamlessly integrate networking, artificial intelligence, and real-time control issues into a unified model of computing. The proposed methodology is also viable for the development of a framework that features simulation and rapid prototyping tools for smart and advanced industrial automation. The full expression of the potentialities in the presented approach is expected in particular for applications where tiny and distributed embedded devices collaborate to a shared computing task of relevant complexity.
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/252404 Collegamento a IRIS

2018
Integration of a Production Efficiency Tool with a General Robot Task Modeling Approach
IEEE International Conference on Emerging Technologies and Factory Automation, ETFA
Autore/i: Indri, Marina; Trapani, Stefano; Bonci, Andrea; Pirani, Massimiliano
Editore: IEEE Institute of Electrical and Electronics Engineers Inc.
Classificazione: 4 Contributo in Atti di Convegno (Proceeding)
Abstract: Although an industrial robot represents a higher class of machine, it is a part of a production system. The robot, regardless of its own complexity, can be represented by a set of actions that leads itself towards the achievement of production goals. In the present paper the robot actions will be modeled as a production system in order to manage and monitoring its actions toward a production target. This will allow an easier integration of the robot within the production process, as required by the new paradigms for the factories of the future.
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/263562 Collegamento a IRIS

2018
RMAS: Relational Multiagent System for CPS Prototyping and Programming
2018 14th IEEE/ASME International Conference on Mechatronic and Embedded Systems and Applications, MESA 2018
Autore/i: Bonci, Andrea; Pirani, Massimiliano; Bianconi, Carlo; Longhi, Sauro
Editore: IEEE Institute of Electrical and Electronics Engineers Inc.
Classificazione: 4 Contributo in Atti di Convegno (Proceeding)
Abstract: This paper proposes RMAS (Relational model Multiagent Systems), a database-centric architecture for the realization of multiagent systems suitable for the embodiement of reasoning and control in cyber-physical systems. The RMAS uses a tightly coupled association between an active database management system and a host processing language. A first instance of RMAS is proposed by means of the coupling of the Matlab environment and the SQLite database language. The choice of the database language is guided by the keen attention of embedded systems of the Internet of Things. An example of a typical holonic manufacturing problem with mechatronics entities is conducted by means of the proposed architecture.
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/263545 Collegamento a IRIS

2018
Development of a BIM-based cyber-physical system for facility management of buildings
2018 Creative Construction Conference
Autore/i: Carbonari, Alessandro; Messi, Leonardo; Naticchia, Berardo; Vaccarini, Massimo; Pirani, Massimiliano
Editore: Miklós Hajdu and Mirosław J. Skibniewski
Classificazione: 4 Contributo in Atti di Convegno (Proceeding)
Abstract: In the wide facility management context, several processes such as operations, maintenance, retrofitting and renovations ensure that buildings comply with the principles of efficiency and cost-effectiveness. Besides ordinary operation, facility management is responsible for renovation of building facilities and long-term improvement of their performances. In such a scenario, the cyberphysical system (CPS) paradigm with holonic architecture, that will be reported in this paper, can successfully advice the operation management of buildings, as well as long-term refurbishment processes. Indeed and in analogy with the manufacturing field, the developed CPS exploits holons self-configuration and self-organization and overall throughput effectiveness (OTE) metrics, in order to detect the best corrective actions towards system improvements. As a consequence, suggestions and lessons learnt from the evaluation of building efficiency are re-directed to the BIM model. Hence, the digital model acts not only as a repository of currently available equipment for operations management, but also as a repository of the history of the diagnoses that supports decision making during maintenance, retrofitting and renovation processes. As a matter of fact, the repeated detection of a specific issue, since not affected by operations management, should be read as an opportunity to act and enhance the capabilities of buildings components. According to this approach, an automatic real-time diagnosis method is tested in a test case consisting of a multi-use and large public building.
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/263455 Collegamento a IRIS

2018
A Review of Recursive Holarchies for Viable Systems in CPSs
Proceedings - IEEE 16th International Conference on Industrial Informatics, INDIN 2018
Autore/i: Bonci, Andrea; Pirani, Massimiliano; Cucchiarelli, Alessandro; Carbonari, Alessandro; Naticchia, Berardo; Longhi, Sauro
Editore: IEEE Institute of Electrical and Electronics Engineers Inc.
Classificazione: 4 Contributo in Atti di Convegno (Proceeding)
Abstract: This work reviews and recaps some lessons learnt in the industrial cyber-physical systems playground to indicate a viable path towards an effective use of artificial intelligence in distributed automation. The holon concept is used as a pivotal tool towards a simplification of the design and implementation of architectures that exploit recursive patterns and self-similarities to keep the industrial systems-of-systems problem under control, whilst addressing the consistent coupling between the physical environmental and the reasoning processes. The Beer’s viable system model is used as an inspiration towards new viable holistic visions of the production system-of-systems.
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/263571 Collegamento a IRIS

2017
Robotics 4.0: Performance Improvement Made Easy
22nd IEEE International Conference on Emerging Technologies And Factory Automation
Autore/i: Bonci, Andrea; Pirani, Massimiliano; Longhi, Sauro
Editore: IEEE, Institute of Electrical and Electronics Engineers Inc.
Classificazione: 4 Contributo in Atti di Convegno (Proceeding)
Abstract: The present paper proposes a conceptual framework along with a practical solution for the problem of integrating the performance indicators of production processes with the capabilities of robotic systems and machinery. This will enable technology transfer and development of automated production processes within the new vision of industry 4.0. The proposed methodology is a solution for improving the performance of a manufacturing system that integrates robotics, mechatronics and automation systems at different levels. Performance measurements and bottlenecks detection on critical production paths are performed in order to achieve a dynamic and on-line system improvement. This consists of a pervasive control of the effectiveness of the system-of-systems, by means of a well-defined sequence of specific and minimal corrective actions. The proposed technique is advisable in the complex scenario of decentralized manufacturing. The nature of the solution is context-dependent and scalable.
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/248422 Collegamento a IRIS

2017
Self-similar computing structures for CPSs: a case study on POTS service process
IFIP ADVANCES IN INFORMATION AND COMMUNICATION TECHNOLOGY
Autore/i: Stadnicka, Dorota; Pirani, Massimiliano; Bonci, Andrea; Chandima Ratnayake R., M; Longhi, Sauro
Classificazione: 1 Contributo su Rivista
Abstract: This paper proposes a novel method for the structuring of the knowledge of a service process in order to be processed by lightweight declarative computing infrastructures. Through the identification of selfsimilarities in the process, the flow of the structured information and the sequence of activities performed in the process are easily implemented by means of cyber-physical systems technologies, in order to timely meet the customer/stakeholder’s requirements. The study was performed in a telecommunication service providing organization. Service teams create a collaborative network. With the use of the CPS proposed in this work they can communicate problems and disseminate solutions. This methodology uses the information of a set of performance indicators of the service organization to achieve a better control of the effectiveness and the bottlenecks in the supply network. The methodology is borrowed from the mechatronics field and it is prone to a natural extension and reuse for the similar information structures in manufacturing processes.
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/248424 Collegamento a IRIS

2017
Information management and decision making supported by an intelligence system in kitchen fronts control process
ADVANCES IN INTELLIGENT SYSTEMS AND COMPUTING
Autore/i: Stadnicka, Dorota; Bonci, Andrea; Pirani, Massimiliano; Longhi, Sauro
Classificazione: 1 Contributo su Rivista
Abstract: Measuring systems used for alternative control are the basis of the kitchen fronts acceptance. The assessment of such products is difficult. On the basis of the performed analysis, it can be said that different operators make dif-ferent decisions that result in different problems in a case study manufactur-ing company. In the work, the authors propose a cyber-physical distributed computing infrastructure to implement performance metrics methods extend-ed to manage the control system and to support the decisions concerning im-provements in the control process. It will result in the minimization or avoid-ance of operators’ mistakes concerning the wrong acceptance or rejection of the finished product.
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/247038 Collegamento a IRIS

2017
An embedded database technology perspective in cyber-physical production systems
PROCEDIA MANUFACTURING
Autore/i: Bonci, Andrea; Pirani, Massimiliano; Longhi, Sauro
Classificazione: 1 Contributo su Rivista
Abstract: The goal of the paper is the proposition of an enabling technology for the control and optimization of cyber-physical production systems, oriented to the lightweight implementation of performance metrics methodology in a network of distributed devices. The database-centric perspective, applied to distributed devices, supports the adoption of well-known key performance metrics for viable lightweight control policies and optimization of complex scenarios in the factory of the future. An experiment of the technique on a real case data set is presented and analyzed.
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/247033 Collegamento a IRIS

2017
A Boat-Based Flying Drone to Monitor Coastlines and Render them in Augmented Reality
IEEE 59th International Symposium ELMAR-2017
Autore/i: Manzoli, Lorenzo; Dragoni, Aldo Franco; Bonci, Andrea; Sernani, Paolo; Pirani, Massimiliano; Falcionelli, Nicola
Editore: IEEE, Institute of Electrical and Electronics Engineers Inc.
Classificazione: 4 Contributo in Atti di Convegno (Proceeding)
Abstract: This system adopts spherical photographs to map coastal areas and port entrances. It is an augmented reality (AR) application to be regarded as an aid in navigation during the night and/or in foggy weather conditions. Also, the system offers unique multimedia content which will be applied in other areas, such as monitoring illegal constructions along the coasts.
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/248423 Collegamento a IRIS

2017
The Relational Model: in Search for Lean and Mean CPS technology
IEEE 15TH INTERNATIONAL CONFERENCE OF INDUSTRIAL INFORMATICS (INDIN'2017)
Autore/i: Bonci, Andrea; Pirani, Massimiliano; Dragoni, Aldo Franco; Cucchiarelli, Alessandro; Longhi, Sauro
Editore: IEEE, Institute of Electrical and Electronics Engineers Inc.
Classificazione: 4 Contributo in Atti di Convegno (Proceeding)
Abstract: The complexity of cyber-physical systems (CPSs) poses new challenges in their design, model checking and maintenance. The hardware and software designers are in search, more than ever, for simple and interoperable approaches that render the complexity of CPSs a treatable matter. In this work, database language is suggested as an enabling technology and a lean technique to the purpose. An example with best available embedded database technology is conducted by means of a deployment test on tiny embedded electronics.
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/248425 Collegamento a IRIS

2017
Embedded solutions for a class of highly unstable, underactuated and self-balancing robotic systems
EURASIP JOURNAL ON EMBEDDED SYSTEMS
Autore/i: Bonci, Andrea; Pirani, Massimiliano; Longhi, Sauro
Classificazione: 1 Contributo su Rivista
Abstract: This paper presents a didactic framework in embedded electronics systems that is used to elicit awareness into students and engineers on the design issues arising in the realization of a class of underactuated robots and aerial vehicles that needs be robustly controlled due to their intrinsic unstability. The applications prototyped on the embedded platform presented here are conceived, by design, to be compliant with tiny collaborative robotics applications in order to adhere to the needs of the complex cyber-physical systems problem. The proposed platform is self-contained with on-board sensing and computation. Its engineering uses only off-the-shelf and mass production components. The system is based on a general purpose embedded board equipped with a 32-bit microcontroller which is able to manage all the basic tasks of this robotic platform: sensing, actuation, control and communication. The framework is described, and initial experimental results are introduced. Three applications are presented in this work as a validation of the methodology: a ballbot robot, a legged robot and a quadrotor aerial vehicle. The chosen case studies are robotics applications that are specialized in performing maneuvers when operating in tight spaces as in the human living environments. © 2016, Bonci et al.
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/237326 Collegamento a IRIS

2016
An algorithm for modelling the manufacturing plant based on energy performances and productivity KPIs
IFAC-PapersOnLine
Autore/i: Bonci, Andrea; Pirani, Massimiliano; Longhi, Sauro
Editore: Elsevier
Classificazione: 4 Contributo in Atti di Convegno (Proceeding)
Abstract: Energy efficiency, performance of equipments, processes and production plants are present challenges in the context of sustainable manufacturing. Energy consumption is also the main economic, environmental and societal issue. Manufacturing plays a major role in energy consumption. Nowadays these challenges can be addressed by pursuing Energy Efficient Manufacturing. Productivity key performance indicators (KPIs) are powerful tool to measure performance from the shop-floor up to the plant level. They are used to optimize manufacturing processes but generally they do not take into account energy consumption. In this paper an energy consumption model based on productivity KPIs is used to investigate performances at the plant level and an algorithm is proposed to evaluate the effectiveness of actions over time whilst achieving overall improvements of the energy efficiency.
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/247027 Collegamento a IRIS

2016
A database-centric approach for the modeling, simulation and control of cyberphysical systems in the factory of the future
IFAC-PAPERSONLINE
Autore/i: Bonci, Andrea; Pirani, Massimiliano; Longhi, Sauro
Classificazione: 1 Contributo su Rivista
Abstract: The path towards Industrie 4.0, requires that factory automation problems cope with the cyber-physical system complexity and its challenges. Some practical experiences and literature in the field testify that the role of the database management systems is becoming central for control and automation technology in the new industrial scenario. This article proposes database-centric technology and architectures that seamlessly integrate networking, artificial intelligence and real-time control issues into a unified model of computing. The proposed methodology is also viable for the development of simulation and rapid prototyping tools for smart and advanced industrial automation.
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/247024 Collegamento a IRIS

2016
A scalable production efficiency tool for the robotic cloud in the fractal factory
IECON Proceedings (Industrial Electronics Conference)
Autore/i: Pirani, Massimiliano; Bonci, Andrea; Longhi, Sauro
Editore: IEEE Computer Society
Classificazione: 4 Contributo in Atti di Convegno (Proceeding)
Abstract: The present paper proposes an effective metrics for production efficiency and a bottleneck detection algorithm of recursive nature for its application on lightweight embedded systems on board of the robotics and automation components of the factory of the future. The proposed methodology is particularly suited if the fractal paradigm is applied to the factory seen as a complex system of systems but with relevant self-similarities across the several layers of components and structures from the shop-floor up to the enterprise level. A performance test has been conducted to demonstrate the viability of the technology for tiny embedded devices with the use of declarative embedded database language. Due to the high scalability of the algorithm and its simplicity, it seems suitable also for the robotic cloud paradigm, where constituent mechatronics, sensors and actuators components are provided as a service. The results provided suggests that, with the use of similar recursive and distributed form of computing, production bottlenecks or fault detection can be scaled to address the complex and pervasive cyber-physical systems problems that characterize the 4th industrial revolution strategies.
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/247031 Collegamento a IRIS

2015
Embedded system for a Ballbot robot
12th International Conference on Mechatronic and Embedded Systems and Applications
Autore/i: Bonci, Andrea; Pirani, Massimiliano; Rossi, Massimiliano; Gabbanini, Enrico Maria
Editore: IEEE
Classificazione: 4 Contributo in Atti di Convegno (Proceeding)
Abstract: This paper presents an embedded system for a ballbot robotic platform, which is a balanced omnidirectional mobile robot that moves on a sphere. It provides a higher degree of maneuverability compared to the wheeled mobile robots. The robot balances it on a ball and gives to the system only one contact point with the ground. This allows to reduce the friction and the space needed by the system to turn around a point. This is a major feature for a mobile vehicle, considering that most of them rotate their whole body to obtain a change in direction. The proposed platform is self-contained with on-board sensing and computation, it uses only off-the-shelf components and is designed to perform maneuvers when operating in tight spaces as in the human environments. The proposed embedded system is based on a general pourpose embedded board equipped with a 32bit microcontroller which is able to manage all the basic tasks of this robotic platform: sensing, actuation, control and communication. The proposed system is described and initial experimental results are introduced, furthermore the challenges faced are presented.
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/229822 Collegamento a IRIS

2015
Embedded low level control of DC motors for actuating robotic legs
WISES 2015 - Proceedings of 12th International Conference on Intelligent Solutions on Embedded Systems
Autore/i: Bonci, Andrea; Longhi, Sauro; Pirani, Massimiliano; Scala, Giuseppe Antonio
Classificazione: 4 Contributo in Atti di Convegno (Proceeding)
Abstract: In this paper an embedded system for accurate control of torque, speed and position of DC motors which actuate the joints of a robotic leg is presented. The proposed embedded system is not based on dedicated and expensive motor controllers but on a general pourpose embedded board equipped with a 32bit microcontroller. For each motor the embedded system can selectively operate in three different control modes: torque, speed and position, to control concurrently at least three DC motors with different control tasks. Each motor is simply equipped with a rotatory encoder and a low-cost current sensor which provides measures of velocity and current as feedback signals. The experimental results show that the embedded controller is able to regulate the motor variables with interesting timeresponses. Although the embedded controller was designed for the proposed robotic application, it is applicable to other systems where the concurrent control of several DC-motors is required.
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/229823 Collegamento a IRIS

2014
Rapid prototyping of open source ordinary differential equations solver in distributed embedded control application
2014 IEEE/ASME 10th International Conference on Mechatronic and Embedded Systems and Applications (MESA)
Autore/i: Bonci, Andrea; Simone, Imbrescia; Pirani, Massimiliano; Paolo, Ratini
Editore: IEEE / Institute of Electrical and Electronics Engineers Incorporated:445 Hoes Lane:Piscataway, NJ 08854:(800)701-4333, (732)981-0060, EMAIL: subscription-service@ieee.org, INTERNET: http://www.ieee.org, Fax: (732)981-9667
Classificazione: 4 Contributo in Atti di Convegno (Proceeding)
Abstract: This paper proposes a rapid prototyping framework based on open source tools for real-time solution of Ordinary Differential Equations (ODE) problems on embedded microcontrollers. A plug-in software for the deployment of ODE solvers, in C language, on embedded industrial environment is proposed. By means of C portability across different microcontrollers architectures, there is the possibility to give a considerable boost in rapid prototyping of mechatronics and complex embedded system applications. Some commercial softwares feature toolsets for the autogeneration of open C code, but they do not provide the translation of the ODE solvers’ routines for embedded systems. A key for open source software integration has been the adoption of an infrastructure based on a Database Management System (DBMS) on board of the embedded system.
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/205826 Collegamento a IRIS

2008
Representation of nonlinear random transformations by non-Gaussian stochastic neural networks
IEEE TRANSACTIONS ON NEURAL NETWORKS
Autore/i: Turchetti, Claudio; Crippa, Paolo; Pirani, Massimiliano; Biagetti, Giorgio
Classificazione: 1 Contributo su Rivista
Abstract: The learning capability of neural networks is equivalent to modeling physical events that occur in the real environment. Several early works have demonstrated that neural networks belonging to some classes are universal approximators of input-output deterministic functions. Recent works extend the ability of neural networks in approximating random functions using a class of networks named stochastic neural networks (SNN). In the language of system theory, the approximation of both deterministic and stochastic functions falls within the identification of nonlinear no-memory systems. However, all the results presented so far are restricted to the case of Gaussian stochastic processes (SPs) only, or to linear transformations that guarantee this property. This paper aims at investigating the ability of stochastic neural networks to approximate nonlinear input-output random transformations, thus widening the range of applicability of these networks to nonlinear systems with memory. In particular, this study shows that networks belonging to a class named non-Gaussian stochastic approximate identity neural networks (SAINNs) are capable of approximating the solutions of large classes of nonlinear random ordinary differential transformations. The effectiveness of this approach is demonstrated and discussed by some application examples.
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/51047 Collegamento a IRIS

2008
Automatic set-point titration for monitoring nitrification in SBRs
WATER SCIENCE AND TECHNOLOGY
Autore/i: Fiocchi, N.; Ficara, E.; Bonelli, S.; Canziani, R.; Ciappelloni, F.; Mariani, S.; Pirani, M.; Ratini, P.; Mazouni, D.; Harmand, J.
Classificazione: 1 Contributo su Rivista
Abstract: Nitrification is usually the bottleneck of biological nitrogen removal processes. In SBRs systems, it is not often enough to monitor dissolved oxygen, pH and ORP to spot problems which may occur in nitrification processes. Therefore, automated supervision systems should be designed to include the possibility of monitoring the activity of nitrifying populations. Though the applicability of set-point titration for monitoring biological processes has been widely demonstrated in the literature, the possibility of an automated procedure is still at its early stage of industrial development. In this work, the use of an at-line automated titrator named TITAAN (TlTrimetric Automated ANalyser) is presented. The completely automated sensor enables us to track nitrification rate trend with time in an SBR, detecting the causes leading to slower specific nitrification rates. It was also possible to perform early detection of toxic compounds in the influent by assessing their effect on the nitrifying biomass. Nitrifications rates were determined with average errors ± 10% (on 26 tests), never exceeding 20% as compared with UV-spectrophotometric determinations. © IWA Publishing 2008.
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/300688 Collegamento a IRIS

2008
Development of hardware sensors for the online monitoring of SBR used for the treatment of industrial wastewaters
MATHEMATICAL AND COMPUTER MODELLING OF DYNAMICAL SYSTEMS
Autore/i: Canziani, R.; Ficara, E.; Fiocchi, N.; Ratini, P.; Pirani, M.; Mariani, S.; Bekri, M.; Pauss, A.; Ribeiro, T.; Schoefs, O.; Bouvier, J. -C.; Harmand, J.; Mazouni, D.
Classificazione: 1 Contributo su Rivista
Abstract: The main challenge in the management of a sequencing batch reactor, for the biological treatment of urban and industrial wastewaters, is to ensure stable treatment efficiency under highly variable influent quality and quantity. To cope with this challenge, online instrumentation is fundamental, since it allows to characterize both influent variability and process efficiency. The more the online data are closely correlated with influent quality and SBRs treatment capacity, the more straightforward is the implementation of control strategies based on these data. In this paper, two monitoring techniques are described, which allow to obtain influent-related and process-related data: set-point titration and UV spectrophotometry. Despite the very different measuring principles, both techniques were successfully applied to SBRs monitoring and control leading to comparable results.
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/300686 Collegamento a IRIS

2008
Development of an integrated system for the optimization of sequencing batch reactors
MATHEMATICAL AND COMPUTER MODELLING OF DYNAMICAL SYSTEMS
Autore/i: Ratini, P.; Pirani, M.; Mariani, S.; Quintaba, A.; Luccarini, L.; Mazouni, D.; Fiocchi, N.; Harmand, J.
Classificazione: 1 Contributo su Rivista
Abstract: This paper presents (i) a synthesis of the EOLI supervision system for optimizing both the biological reaction phases and the settling phase of Sequencing Batch Reactors (SBR) performing carbon and nitrogen removal from urban or industrial wastewaters; (ii) a summary of the integration capabilities of the integrated system developed by an industrial partner of the project to propose both the hardware and the software of the EOLI solution under a unified framework.
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/300690 Collegamento a IRIS

2006
SBR on-line monitoring by set-point titration
WATER SCIENCE AND TECHNOLOGY
Autore/i: Fiocchi, N.; Ficara, E.; Canziani, R.; Luccarini, L.; Ciappelloni, F.; Ratini, P.; Pirani, M.; Mariani, S.
Classificazione: 1 Contributo su Rivista
Abstract: The applicability of set-point titration for monitoring biological processes has been widely demonstrated in the literature. Based on published and on-going experiences, some operating procedures have been specifically developed to be applied to SBRs, so that real-time information about the process and/or the influent can be obtained. This, in turn, would allow plant operators to select the most appropriate actions properly and timely. Five operating modes are described for the monitoring of (1) influent toxicity, (2) influent N-content, (3) nitrification capacity, (4) end of the nitrification reaction, and (5) nitrate effluent concentration, and are currently tested on the on-line titrator TITAAN (TITrimetric Automated ANalyser) which is in operation on a pilot scale SBR. © IWA Publishing 2006.
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/300689 Collegamento a IRIS

2005
Advances in Lee-Schetzen method for Volterra filter identification
MULTIDIMENSIONAL SYSTEMS AND SIGNAL PROCESSING
Autore/i: Orcioni, Simone; Pirani, M.; Turchetti, Claudio
Classificazione: 1 Contributo su Rivista
Abstract: This paper concerns the identification of nonlinear discrete causal systems that can be approximated with the Wiener–Volterra series. Some advances in the efficient use of Lee–Schetzen (L–S) method are presented, which make practical the estimate of long memory and high order models. Major problems in L–S method occur in the identification of diagonal kernel elements. Two approaches have been considered: approximation of gridded data, with interpolation or smoothing, and improved techniques for diagonal elements estimation. A comparison of diagonal elements esti- mated, with different methods has been shown with extended tests on fifth order Volterra systems.
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/53147 Collegamento a IRIS

2004
A stochastic model of neural computing
Knowledge-Based Intelligent Information and Engineering Systems - 8th International Conference (KES 2004) - Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science), Part II
Autore/i: Crippa, Paolo; Turchetti, Claudio; Pirani, M.
Editore: Springer-Verlag
Luogo di pubblicazione: Berlin/Heidelberg
Classificazione: 2 Contributo in Volume
Abstract: This paper addresses the problem of neural computing by a fundamentally different approach to the one currently adopted in digital computers. The approach is based on the experience, rather than on the specification of operators as it is done in the conventional mathematical approach and it is well suited for implementation by neural networks.
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/42843 Collegamento a IRIS

2004
Diagonal kernel point estimation of n-th order discrete Volterra-Wiener systems
EURASIP JOURNAL ON APPLIED SIGNAL PROCESSING
Autore/i: Pirani, M.; Orcioni, Simone; Turchetti, Claudio
Classificazione: 1 Contributo su Rivista
Abstract: The estimation of diagonal elements of a Wiener model kernel is a well-known problem. The new operators and notations proposed here aim at the implementation of efficient and accurate nonparametric algorithms for the identification of diagonal points. The formulas presented here allow a direct implementation of Wiener kernel identification up to the th order. Their efficiency is demonstrated by simulations conducted on discrete Volterra systems up to fifth order.
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/34949 Collegamento a IRIS

2003
Diagonal Kernel Point Estimation of n-th Order Discrete Volterra-Wiener Systems
Proceedings of IEEE-EURASIP Workshop on Nonlinear Signal and Image Processing
Autore/i: Pirani, M.; Orcioni, Simone; Turchetti, Claudio
Luogo di pubblicazione: Grado
Classificazione: 5 Altro
Abstract: Proceedings of IEEE-EURASIP Workshop on Nonlinear Signal and Image Processing. Grado, Italy. 2003
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/54376 Collegamento a IRIS

2002
Practical notes on two Volterra filter identification direct methods
Proceedings - IEEE International Symposium on Circuits and Systems
Autore/i: Orcioni, Simone; Pirani, M.; Turchetti, Claudio; Conti, Massimo
Editore: IEEE
Classificazione: 4 Contributo in Atti di Convegno (Proceeding)
Abstract: A survey of direct methods for identification of discrete Volterra systems is given. The Lee-Schetzen method and Korenberg's fast orthogonal algorithm (FOA) are reviewed. These methods are still useful and can be used as reference for other methods. We give practical considerations and suggestions for optimal use of these two methods coming up from the study of statistical simulations up to the third order.
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/54388 Collegamento a IRIS




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