scholarly journals Generalized algorithm of combine process adjustment based on fuzzy knowledge models

10.12737/2022 ◽  
2013 ◽  
Vol 13 (7/8) ◽  
pp. 65-74
Author(s):  
Lyudmila Borisova ◽  
Valeriy Dimitrov
Keyword(s):  
Combine Process ◽  
Process Adjustment ◽  
Knowledge Models ◽  
Fuzzy Knowledge

Competenza ad agire insieme e senso di iniziativa: il tirocinio per attraversare i confini tra studio e lavoro

2020 ◽  
pp. 93-102
Author(s):  
Fabrizio d'Aniello
Keyword(s):  
Professional Growth ◽  
Capability Approach ◽  
Boundary Crossing ◽  
Methodological Framework ◽  
Knowledge Models ◽  
Internship Experience ◽  
Cultural Historical Activity ◽  
The University ◽  
And Training ◽  
The Capability Approach

The pre-eminent motivation behind this contribution lies in the intention to offer students of three-year degree course in education and training sciences and master's degree in pedagogical sciences of the University of Macerata a further support than those already existing, aimed at expanding the educational meaningfulness of the internship experience. The main criticality of such experience is connected with the difficulty in translating knowledge, models, ideas into appropriate activities. This notably refers to the conceptual and educational core of the sense of initiative and entrepreneurship and, consistently, to the skill to act. Therefore, after a deepening of the sense of initiative and entrepreneurship, followed by related pedagogical reflections based on the capability approach, the paper presents an operative proposal aimed at increasing young people's possibilities of action and supporting their personal and professional growth. With regard to this training proposal, the theoretical and methodological framework refers to the third generation cultural historical activity theory and to the tool of the boundary crossing laboratory, variant of the change laboratory

scholarly journals Virtual Sound Field of the Roman Theatre of Malaca

Acoustics ◽  
2021 ◽  
Vol 3 (1) ◽  
pp. 78-96
Author(s):  
Javier Alayón ◽  
Sara Girón ◽  
José A. Romero-Odero ◽  
Francisco J. Nieves
Keyword(s):  
3D Model ◽  
Sound Field ◽  
Acoustic Properties ◽  
Archaeological Remains ◽  
Roman Emperor ◽  
Stone Surface ◽  
Process Adjustment ◽  
Decay Parameters ◽  
The Hill ◽  
The City

In Hispania (present-day Spain and Portugal), there are 25 structures documented of classical Roman open-air theatres, of which 10 are in the south, in the Roman Baetica (Andalusia). The Baetica embraced the progress of urbanisation in the time of the Roman emperor Augustus, where theatres, built in stone, were the foci of entertainment, performance, and propaganda of the empire. The Roman theatre in Malaga presents the archaeological remains of the main vestige of the Roman Malaca. It is located in the historical centre of the city, at the foot of the hill of the Muslim Alcazaba and was discovered in 1952. It is a medium-sized theatre whose design corresponds to a mixed construction that combines making use of the hillside for the terraces, in the manner of Greek theatres, with a major construction where rock is non-existent, thereby creating the necessary space for the stands. In this paper, the production process, adjustment, and validation of the 3D model of the theatre are analysed for the creation of a numerical predictive model of its sound field. Acoustic properties of the venue are examined and the effect of the Muslim Alcazaba and the hillside on the various acoustic descriptors is analysed. The results highlight the influence of this large stone surface mainly on the time decay parameters.

scholarly journals Predictive Process Adjustment by Detecting System Status of Vacuum Gripper in Real Time during Pick-Up Operations

Processes ◽  
2021 ◽  
Vol 9 (4) ◽  
pp. 634
Author(s):  
Sujeong Baek ◽  
Dong Oh Kim
Keyword(s):  
Real Time ◽  
Manufacturing Systems ◽  
Air Pressure ◽  
Economic Losses ◽  
Stable Operation ◽  
System Operation ◽  
Process Adjustment ◽  
Manufacturing Errors ◽  
Predictive Process ◽  
Considerable Loss

In manufacturing systems, pick-up operations by vacuum grippers may fail owing to manufacturing errors in an object’s surface that are within the allowable tolerance limits. In such situations, manual interference is required to resume system operation, which results in considerable loss of time as well as economic losses. Although vacuum grippers have many advantages and are widely used in the industry, it is highly difficult to directly monitor the current machine status and provide appropriate recovery feedback for stable operation. Therefore, this paper proposes a method to detect the success or failure of a suction operation in advance by analyzing the amount of outlet air pressure in the Venturi line. This was achieved by installing an air pressure sensor on the Venturi line to predict whether the current suction action will be successful. Through empirical experiments, it was found that downward movements in the z-axis of the vacuum gripper can easily rectify a faulty gripper suction operation. Real-time monitoring results verified that predictive process adjustment of the pick-up operation can be performed by modifying the z-position of the vacuum gripper.

scholarly journals Tools and Approaches for the Construction of Knowledge Models from the Neuroscientific Literature

2003 ◽  
Vol 1 (1) ◽  
pp. 081-110 ◽  
Author(s):  
Gully A P C Burns ◽  
Arshad M Khan ◽  
Shahram Ghandeharizadeh ◽  
Mark A O'Neill ◽  
Yi-Shin Chen
Keyword(s):  
Construction Of Knowledge ◽  
Knowledge Models

A Meta-Mining Ontology Framework for Data Processing

2021 ◽  
Vol 12 (2) ◽  
pp. 37-56
Author(s):  
Man Tianxing ◽  
Nataly Zhukova ◽  
Alexander Vodyaho ◽  
Tin Tun Aung
Keyword(s):  
Data Mining ◽  
Data Processing ◽  
Data Streams ◽  
Specific Data ◽  
Ontology Merging ◽  
Knowledge Models ◽  
Task Requirements ◽  
Ontology Extraction ◽  
Merging Method ◽  
And Task

Extracting knowledge from data streams received from observed objects through data mining is required in various domains. However, there is a lack of any kind of guidance on which techniques can or should be used in which contexts. Meta mining technology can help build processes of data processing based on knowledge models taking into account the specific features of the objects. This paper proposes a meta mining ontology framework that allows selecting algorithms for solving specific data mining tasks and build suitable processes. The proposed ontology is constructed using existing ontologies and is extended with an ontology of data characteristics and task requirements. Different from the existing ontologies, the proposed ontology describes the overall data mining process, used to build data processing processes in various domains, and has low computational complexity compared to others. The authors developed an ontology merging method and a sub-ontology extraction method, which are implemented based on OWL API via extracting and integrating the relevant axioms.

Sign in / Sign up

Export Citation Format

Share Document