1,721,053 research outputs found
Un elemento di interfaccia per la modellazione delle linee di cordonatura in laminati sottili
Nella tecnologia di produzione dei laminati a base di carta e cartone per scopi industriali si ricorre all’utilizzo di linee di pre-piegatura, dette anche linee di cordonatura, allo scopo di ottenere pieghe rettilinee con spigoli vivi e minimizzare l’insorgere ed il propagarsi di difetti o increspature.
In questo lavoro si intende modellare la risposta meccanica delle linee di cordonatura in modo da elaborare un codice di calcolo ad elementi finiti in grado di ottimizzare la progettazione dei laminati, i cui punti critici risiedono nella realizzazione delle pieghe multiple e dei vertici.
Si propone un nuovo elemento di interfaccia, la cui cinematica è conforme a quella dell’elemento finito di guscio MITC4 proposto da Bathe [1]. L’approccio utilizzato è di tipo lagrangiano in grandi spostamenti, grandi rotazioni e piccole deformazioni.
Per la modellazione dell’interfaccia sono state esaminate due possibili soluzioni: (i) l’elemento di interfaccia si ottiene degenerando la cinematica dell’elemento di guscio; (ii) l’interfaccia è pensata come un solido continuo
Fuzzy-based approach to assess and prioritize privacy risks
The new general data protection regulation requires organizations to conduct a data protection impact assessment (DPIA) when the processing of personal information may result in high risk to individual rights and freedoms. DPIA allows organizations to identify, assess and prioritize the risks related to the processing of personal information and select suitable mitigations to reduce the severity of the risks. The existing DPIA methodologies measure the severity of privacy risks according to analysts’ opinions about the likelihood and the impact factors of the threats. The assessment is therefore subjective to the expertise of the analysts. To reduce subjectivity, we propose a set of well-defined criteria that analysts can use to measure the likelihood and the impact of a privacy risk. Then, we adopt the fuzzy multi-criteria decision-making approach to systematically measure the severity of privacy risks while modeling the imprecision and vagueness inherent in linguistic assessment. Our approach is illustrated for a realistic scenario with respect to LINDDUN threat categories.</p
New developments in antibacterial choice for lower respiratory tract infections in elderly patients
Fuzzy-based approach to assess and prioritize privacy risks
The new general data protection regulation requires organizations to conduct a data protection impact assessment (DPIA) when the processing of personal information may result in high risk to individual rights and freedoms. DPIA allows organizations to identify, assess and prioritize the risks related to the processing of personal information and select suitable mitigations to reduce the severity of the risks. The existing DPIA methodologies measure the severity of privacy risks according to analysts' opinions about the likelihood and the impact factors of the threats. The assessment is therefore subjective to the expertise of the analysts. To reduce subjectivity, we propose a set of well-defined criteria that analysts can use to measure the likelihood and the impact of a privacy risk. Then, we adopt the fuzzy multi-criteria decision-making approach to systematically measure the severity of privacy risks while modeling the imprecision and vagueness inherent in linguistic assessment. Our approach is illustrated for a realistic scenario with respect to LINDDUN threat categories
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