Search results for "Automotive"
showing 10 items of 619 documents
System Times and Channel Availability for Secondary Transmissions in CRNs: A Dependability Theory based Analysis
2017
[EN] Reliability is of fundamental importance for the performance of secondary networks in cognitive radio networks (CRNs). To date, most studies have focused on predicting reliability parameters based on prior statistics of traffic patterns from user behavior. In this paper, we define a few reliability metrics for channel access in multichannel CRNs that are analogous to the concepts of reliability and availability in classical dependability theory. Continuous-time Markov chains are employed to model channel available and unavailable time intervals based on channel occupancy status. The impact on user access opportunities based on channel availability is investigated by analyzing the stead…
ANN modelling of CO2 refrigerant cooling system COP in a smart warehouse
2020
Author's accepted manuscript Industrial cooling systems consume large quantities of energy with highly variable power demand. To reduce environmental impact and overall energy consumption, and to stabilize the power requirements, it is recommended to recover surplus heat, store energy, and integrate renewable energy production. To control these operations continuously in a complex energy system, an intelligent energy management system can be employed using operational data and machine learning. In this work, we have developed an artificial neural network based technique for modelling operational CO2 refrigerant based industrial cooling systems for embedding in an overall energy management s…
Fuel cell modelling and test: Experimental validation of model accuracy
2013
In the last few years, renewable energies have been encouraged by worldwide governments to meet energy saving policies. Among renewable energy sources, fuel cells have attracted much interest for a wide variety of research areas. Fuel cell-based residential-scaled power supply systems take advantage of simultaneous generation of power and heat, reducing the overall fossil fuel consumption and utilities cost. Modeling is one of the most important topics concerning fuel cell use. In this paper, a measurement-based steady-state and dynamic fuel cell model is presented. The proposed modelling approach is implemented on a 5kW Proton Exchange Membrane Fuel Cell. The parameters identification proc…
MATLAB-based simulator of a 5 kW fuel cell for power electronics design
2013
Abstract In the last few years, renewable energies have been encouraged by worldwide governments to meet energy saving policies. Among renewable energy sources, fuel cells have attracted much interest for a wide variety of research areas. Since combined heat-power generation is allowed, household appliances are still the most promising applications. Fuel cell-based residential-scaled power supply systems take advantage by simultaneous generation of power and heat, reducing the overall fossil fuel consumption and utilities cost. Modelling is one of the most important topic concerning fuel cell use. In this paper, a measurement-based steady-state and dynamic fuel cell model is presented. The …
Assessing supply chain risks in the automotive industry through a modified MCDM-based FMECA
2020
Supply chains are complex networks that receive assiduous attention in the literature. Like any complex network, a supply chain is subject to a wide variety of risks that can result in significant economic losses and negative impacts in terms of image and prestige for companies. In circumstances of aggressive competition among companies, effective management of supply chain risks (SCRs) is crucial, and is currently a very active field of research. Failure Mode, Effects and Criticality Analysis (FMECA) has been recently extended to SCR identification and prioritization, aiming at reducing potential losses caused by lack of risk control. This article has a twofold objective. First, SCR assess…
Fuzzy cognitive maps for knowledge-oriented human risk management in industry
2021
This contribution proposes an integrated approach making use of Fuzzy Cognitive Maps (FCMs) to organise in a flexibleway human knowledge about decision-making (DM) problems of interest in industry. By modelling human reasoning, FCMs allow to represent real phenomena on the basis of spontaneous human brainstorming on relations between pairs of relevant DM elements. Because of its characteristics, the use of FCMs can be effective to model DM problems such as human risk management, particularly critical in the industrial business sector. After identifying human risks in the existing literature, FCMs will be used to define relations among risks, which will be later prioritised by means of a mod…
Analysis of the Relationship between Energy Absorbing Components and Vehicle Crash Response
2016
The Automotive Market – An Ongoing Turmoil
2013
Abstract The article focusses on the turmoil of the European Union and Romanian automotive market, deeply challenged by the crisis and on the perspectives in the after crisis, studying the evolution of this market as well as the determinate factors of a highly economic- sensitive market.
MATHEMATICAL MODEL AND SOFTWARE SIMULATION OF SUSPENSION'S SYSTEM FROM OPEL CARS
2014
THE SCOPE OF DUE DILIGENCE IN CROSS-BORDER ACQUISITIONS IN CENTRAL AND EASTERN EUROPE
2015
Cross-border acquisitions play an important role in the corporate strategic development and international expansion. The paper summarizes the results of the dissertation, which intends to establish vital link between research and practice, deeply exploring the risk assessment methods and the scope of due diligence audit in the pre-acquisition phase. The central hypothesis of the comprehensive model stated that thorough due diligence in the pre-acquisition phase is necessary to make successful cross-border acquisition. The empirical evidence has been drawn on data sample of acquisitions made by automotive firms in cross-border acquisitions in the Central and Eastern Europe. The main results …