A fuzzy arithmetic-based analytical reliability assessment framework (FAARAF): case study, cognitive radio vehicular networks with drivers

Computing ◽  
2021 ◽  
Author(s):  
Somayeh Bahramnejad ◽  
Naser Movahhedinia
Keyword(s):  
Cognitive Radio ◽  
Vehicular Networks ◽  
Reliability Assessment ◽  
Fuzzy Arithmetic ◽  
Assessment Framework ◽  
Analytical Reliability

Spectrum sensing challenges & their solutions in cognitive radio based vehicular networks

2021 ◽  
Vol 34 (7) ◽  
Author(s):  
Mohammad Asif Hossain ◽  
Rafidah Md Noor ◽  
Saaidal Razalli Azzuhri ◽  
Muhammad Reza Z'aba ◽  
Ismail Ahmedy ◽  
...  
Keyword(s):  
Cognitive Radio ◽  
Spectrum Sensing ◽  
Vehicular Networks

scholarly journals A Planning Tool for Reliability Assessment of Overhead Distribution Lines in Hybrid AC/DC Grids

2021 ◽  
Vol 13 (11) ◽  
pp. 6099
Author(s):  
Giovanna Adinolfi ◽  
Roberto Ciavarella ◽  
Giorgio Graditi ◽  
Antonio Ricca ◽  
Maria Valenti
Keyword(s):  
Reliability Assessment ◽  
Reliability Function ◽  
Climatic Conditions ◽  
Planning Tool ◽  
Grid Resource ◽  
Distribution Lines ◽  
Ac Networks ◽  
Reliability Performance ◽  
Power Dispatching

Integration of DC grids into AC networks will realize hybrid AC/DC grids, a new energetic paradigm which will become widespread in the future due to the increasing availability of DC-based generators, loads and storage systems. Furthermore, the huge connection of intermittent renewable sources to distribution grids could cause security and congestion issues affecting line behaviour and reliability performance. This paper aims to propose a planning tool for congestion forecasting and reliability assessment of overhead distribution lines. The tool inputs consist of a single line diagram of a real or synthetic grid and a set of 24-h forecasting time series concerning climatic conditions and grid resource operative profiles. The developed approach aims to avoid congestions criticalities, taking advantage of optimal active power dispatching among “congestion-nearby resources”. A case study is analysed to validate the implemented control strategy considering a modified IEEE 14-Bus System with introduction of renewables. The tool also implements reliability prediction formulas to calculate an overhead line reliability function in congested and congestions-avoided conditions. A quantitative evaluation underlines the reliability performance achievable after the congestion strategy action.

A readiness assessment framework for Blockchain adoption: A healthcare case study

2021 ◽  
Vol 165 ◽  
pp. 120536
Author(s):  
Sreejith Balasubramanian ◽  
Vinaya Shukla ◽  
Jaspreet Singh Sethi ◽  
Nazrul Islam ◽  
Roy Saloum
Keyword(s):  
Assessment Framework ◽  
Readiness Assessment

RT Level vs. Microarchitecture-Level Reliability Assessment: Case Study on ARM(R) Cortex(R)-A9 CPU

2017 ◽  
Author(s):  
Athanasios Chatzidimitriou ◽  
Manolis Kaliorakis ◽  
Dimitris Gizopoulos ◽  
Maurizio Iacaruso ◽  
Mauro Pipponzi ◽  
...  
Keyword(s):  
Reliability Assessment

Assessing Industry 4.0 readiness in manufacturing: a self-diagnostic framework and an illustrative case study

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Krishnamurthy Ramanathan ◽  
Premaratne Samaranayake
Keyword(s):  
Diagnostic Tool ◽  
Industry 4.0 ◽  
Emerging Economy ◽  
Illustrative Case ◽  
Assessment Framework ◽  
Structured Interviews ◽  
Readiness Assessment ◽  
Manufacturing Firm ◽  
Content Type

PurposeThe purpose of this paper is to present an Industry 4.0 Readiness Assessment Framework (I4.0RAF) and demonstrate its applicability and practical relevance through a case study of a large manufacturing firm in an emerging economy.Design/methodology/approachThe research firstly involved a synthesis of recent literature for the identification of important determinants, and their constituent criteria, for assessing the readiness of a manufacturing firm to transition to an Industry 4.0 setting and structuring them into a readiness assessment framework that can be used as a self-diagnostic tool. The framework was illustrated through a case study. The empirical findings of readiness assessment are validated using semi-structured interviews of senior management of the organization.FindingsThe proposed I4.0RAF was found to be a practically applicable self-diagnostic tool that can be used to assess a firm's readiness to transition to an Industry 4.0 setting with respect to eight important determinants. Cross-functional participation in the assessment helped the organization to determine priorities and interdependencies among the determinants.Research limitations/implicationsThe determinants and their constituent criteria can be further streamlined using inputs from practitioners, consultants and academics.Practical implicationsThe findings demonstrate the interdependencies between the determinants, help to delineate interventions that can lead to synergistic outcomes and enabls planning to achieve higher levels of Industry 4.0 maturity.Originality/valueA self-diagnostic tool as a basis for an informed discussion on transitioning to an Industry 4.0 setting is presented and illustrated through a case study in an emerging economy.

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