67 research outputs found
Social scientist perception of undergraduate geography students
No full text3rd International Geography Symposium (GEOMED) -- JUN 10-13, 2013 -- Antalya, TURKEYWOS: 000335821200026The aim of this study is to reveal social scientist perception of undergraduate geography students. In the research scanning model was used. The study group consisted of 65 students studying geography. Semi-constructed interview form was used as data collection tool. Findings of the study show that geography students mostly have positive perceptions regarding mental social scientist images and perceive a social scientist as physically elegant, long-haired, tall, well-kept, smiling and spectacled. Besides, findings reveal that for geography student sex of the social scientist is not important and that her/his age cannot be said numerically. For them social scientists are immortal. The participants perceive social scientists as a person doing research, joining social solidarity events, scientific meetings in comfortable and neat places where social interaction can occur. Also they perceive a social scientist as a person with library, books, maps, and natural environment objects around. They think the most important social scientists in Turkey are Sirri Erinc and Ziya Gokalp and Plato and Socrates are in the world. If they were social scientists, they would solve social and personal communication problems, environment problems, cultural resolution, domestic violence and children. (C) 2013 The Authors. Published by Elsevier Ltd
Determined-Safe Faults Identification: A step towards ISO26262 hardware compliant designs
No full textThe development of Integrated Circuits for the Automotive sector imposes on major challenges. ISO26262 compliance, as part of this process, entails complex analysis for the evaluation of potential random hardware faults. This paper proposes a systematic approach to identify faults that do not disrupt safety-critical functionalities and consequently can be considered Safe. By deploying code coverage and Formal verification techniques, our methodology enables the classification of faults that are unclassified by other technologies, improving ISO26262 compliance. Our results, in combination with Fault Simulation, achieved a Diagnostic Coverage of 93% in a CAN Controller. These figures allow an initial assessment for an ASIL B configuration of the IP
Sinkhole Risk-Based Sensor Placement for Leakage Localization in Water Distribution Networks with a Data-Driven Approach
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Sinkhole Risk-Based Sensor Placement for Leakage Localization in Water Distribution Networks with a Data-Driven Approach
by Gabriele MedioORCID,Giada VarraORCID,Çağrı Alperen İnanORCID,Luca Cozzolino *ORCID andRenata Della MorteORCID
Department of Engineering, University of Naples Parthenope, 80143 Naples, Italy
*
Author to whom correspondence should be addressed.
Sustainability 2024, 16(12), 5246; https://doi.org/10.3390/su16125246 (registering DOI)
Submission received: 15 May 2024 / Revised: 15 June 2024 / Accepted: 18 June 2024 / Published: 20 June 2024
(This article belongs to the Special Issue Smart Flood Resilience Integrating AI and Hydraulic and Horologic Modeling)
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Abstract
Leakages from damaged or deteriorated buried pipes in urban water distribution networks may cause significant socio-economic and environmental impacts, such as depletion of water resources and sinkhole events. Sinkholes are often caused by internal erosion and fluidization of the soil surrounding leaking pipes, with the formation of soil cavities that may eventually collapse. This in turn causes road disruption and building foundation damage, with possible victims. While the loss of precious water resources is a well-known problem, less attention has been paid to anthropogenic sinkhole events generated by leakages in water distribution systems. With a view to improving urban smart resilience and sustainability of urban areas, this study introduces an innovative framework to localize leakages based on a Machine learning model (for the training and evaluation of candidate sets of pressure sensors) and a Genetic algorithm (for the optimal sensor set positioning) with the goal of detecting and mitigating potential hydrogeological urban disruption due to water leakage in the most sensitive/critical locations. The application of the methodology on a synthetic case study from literature and a real-world case scenario shows that the methodology also contributes to reducing the depletion of water resources
Combining Fault Analysis Technologies for ISO26262 Functional Safety Verification
No full textThe development of Integrated Circuits for the Automotive sector imposes on complex challenges. ISO26262 Functional Safety requirements entail extensive Fault Injection campaigns and complex analysis for the evaluation of deployed Software Tools. This paper proposes a methodology to improve Fault Analysis Tools Confidence Level (TCL) by detecting errors in the classification of faults. By combining the strengths of Automatic Test Pattern Generators (ATPG), Formal Methods and Fault Injection Simulators we are able to automatically generate a Test Environment that enables the validation of the tools and provides supplementary information about the design behavior. Our results showed fault detection rates above 99% including information to improve ISO26262 metrics calculationAccepted author manuscriptComputer EngineeringQuantum & Computer Engineerin
Long term prophylaxis in children with type 3 Von Willebrand disease - To do or not to do?
No full textEfficient Methodology for ISO26262 Functional Safety Verification
No full textTolerance to random hardware failures, required by ISO26262, entails accurate design behavior analysis, complex Verification Environments and expensive Fault Injection campaigns. This paper proposes a methodology combining the strengths of Automatic Test Pattern Generators (ATPG), Formal Methods and Fault Injection Simulation to decrease the efforts of Functional Safety Verification. Our methodology results in a fast-deployed Fault Injection environment achieving Fault detection rates higher than 99% on the tested designs. In addition, ISO26262 Tool Confidence level is improved by a fault analysis report that allows verification of malfunctions in the outputs of the tools.Accepted author manuscriptComputer EngineeringQuantum & Computer Engineerin
Inversion of multi-channel surface wave data using a sequential hybrid approach
No full textA sequential hybrid scheme combining a genetic algorithm (GA) with the Levenberg-Marquardt (LM) method is proposed as a means to invert dispersion curves obtained via multi-channel analysis of surface waves for shear (S)-wave velocity profile. Such a hybrid optimization algorithm has the potential to exploit the advantages of both methods. In the hybrid scheme, the GA was implemented to construct an initial estimate for the LM method. The main objective of the paper was to compare the results obtained from the proposed hybrid scheme with those of both GA and LM methods. The accuracy of the proposed hybrid algorithm solution was validated through using both theoretical and field data. The inverted models produced by the hybrid approach fitted the true models well when the synthetic dispersion curve had no noise or with 5% noise. Furthermore, a very good agreement was obtained between field data obtained from borehole measurements and the inverted results produced by the proposed approach.Research Foundation of Cumhuriyet University, Turkey (CUBAP) [M-310]This work was supported by the Research Foundation of Cumhuriyet University, Turkey (CUBAP, M-310). The authors are grateful to the editor and two anonymous reviewers for their valuable comments and suggestions. This work is part of the first author's PhD dissertation
Using STLs for Effective In-field Test of GPUs
No full textEditor's notes: GPUs have seen an increased adoption in autonomous systems. This article assesses the fault coverage that can be attained through software self-test strategies for in-field test of GPUs. - Nicola Nicolici, McMaster UniversityGreen Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.Computer EngineeringQuantum & Computer Engineerin
On the performance of LTE downlink scheduling algorithms: A case study on edge throughput
No full textRadio resource allocation is a crucial task in the LTE networks. To increase the overall user experience, an efficient radio resource allocation algorithm should be utilized. In this work, a new scheduling algorithm has been proposed to increase the edge throughput without sacrificing system throughput. Comparative performance results indicate that the proposed scheduler increases the edge throughput and fairness while limiting degradation in the cell throughput between 0 to 2 percent with respect to the other schedulers
Abstract: 12.00 Effect Of Non-Expanded Adipose Stromal Vascular Fracture On Viability Of Transverse Rectus Abdominis Musculocutaneous Flap After Abdominoplasty: Experimental Study
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