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The Eighth Agria Conference on Innovative Vehicle Technologies and Automation Solutions, InnoVeTAS2024
Even though the last few years were filled with all kinds of challenges for companies and universities; we are happy to host once again, the Eighth Agria Conference on Innovative Vehicle Technologies and Automation Solutions, also known as InnoVeTAS2024. This conference series was started as a subset event of the International Pneumobile competition, in order to make it more attractive to students and professors from a wide range of universities in Europe. Today, the InnoVeTAS conference has become an independent scientific forum, which is traditionally held in May. This being the eigtht conference in the series; our event has become one of the major technical and scientific talks in Heves County! Additionally, we are now visible on the venue of Hungarian national conferences! In cooperation with IÓP Publishing, this year’s conference proceedings will also be the third time, that it will have been listed in the Scopus index, which is useful for high level researchers. List of Honorary chairs, Scientific Committee, Editorial Committee, Organizing Committee, Invited Speakers, Organization Institution and Sponsor are available in this Pdf.
Journal Article
Automation in construction toward resilience : robotics, smart materials & intelligent systems
\"This book presents all aspects of automation in construction pertaining to the use of information technologies in design, engineering, construction technologies, and maintenance and management of constructed facilities. The broad scope encompasses all stages of the construction life cycle from initial planning and design, through the construction of the facility, its operation, and maintenance, to the eventual dismantling and recycling of buildings and engineering structures\"-- Provided by publisher.
BOOK
0600 Automated Oximetric Versus Standard Sleep Polygraphy Scoring
Abstract
Introduction
Agreement between automated standard respiratory event scoring and a novel, validated, and patented oximetry-based algorithm was assessed.
Methods
The standard apnea-hypopnea index (AHI) was derived by adding apneas (flow drop >= 90% for 10 to 30 s) and hypopneas (flow drop >= 30% for 10 to 60 s with oxygen saturation (SpO2) dropping >=3%). The novel oxygen index (ODI4) was derived by scoring events where SpO2 dropped in each of three successive samples and cumulatively by >= 4%. Agreement was assessed by Bland-Altman analysis
Results
AHI versus ODI4 and Bland-Altman plots showed a high prevalence of AHI > ODI4 when AHI was< 30/h. Negative difference outliers were frequent when mean index difference was > 30/h. There was a bias of 2.83/h in the difference between AHI and ODI4 with upper and lower confidence limits of 22.0/h and -16.3/h.
Conclusion
Standard respiratory event scoring overestimates respiratory disturbance compared to a novel oximetric index. Standard automated scoring frequently over scores events when basal flow amplitude is low.
Support
None.
Journal Article
The skill code : how to save human ability in an age of intelligent machines
\"A guide to protecting your skill in a world filling with AI and robots\"-- Provided by publisher.
Book
Formation of a system providing automated technological processes
The presented work analyzes the physical and technological processes occurring at different levels of enterprise functioning. The results obtained allowed the authors to form a system that would allow managing technological processes at various stages of production. The automated system “Vesta” was taken as a basis, which provides a stable technological and physical process. The authors describe the process of functioning of this system and new opportunities that open up for the successful functioning of physical and technological regional processes.
Journal Article
Winning in the robotic workplace : how to prosper in the automation age
\"This book will examine the history of robotics and explicate what massive automation means for the present and future of labor in all its forms, from mills and factories to the white-collar offices of suburbia and more\"-- Provided by publisher.
Book
Correction: An automated system for the objective evaluation of human gustatory sensitivity using tongue biopotential recordings
[This corrects the article DOI: 10.1371/journal.pone.0177246.].
Journal Article
4 Four-dimensional left ventricular blood flow energetics independently predict adverse remodelling post st-elevation myocardial infarction
IntroductionMyocardial infraction (MI) leads to complex changes in left ventricular (LV) haemodynamics. It remains unknown how four-dimensional (4D) acute changes in LV-cavity blood flow kinetic energy (KE) affect LV remodelling. We hypothesised that LV blood flow energetics is independently associated with adverse LV-remodelling.MethodsWe recruited 69 revascularised ST-elevation MI patients. All patients underwent cardiovascular magnetic resonance (CMR) at 1.5 T within 48 hours and at 3 months. CMR included cines, early/late gadolinium enhancement and whole-heart 4D flow. CMR analysis included: LV volumes, infarct size (IS,%), microvascular obstruction (MVO,%), two-dimensional, retrospective valve tracking derived mitral inflow metrics and 4D KE components. KE was derived using novel, semi-automated method by using endocardial contours on short-axis cines to extract intra-cavity velocity profile. Adverse LV-remodelling was defined as increase in LV end-diastolic volume by 15%.ResultsThirteen (19%) patients developed adverse LV-remodelling. Demographics were comparable between patients with/without remodelling. Baseline CMR in adverse LV-remodelling-group showed significantly lower EF, LV KE, Systolic, A-wave, in-plane KEs and increased MVO (p<0.05). In stepwise-regression analysis, only acute MVO (beta=0.17±0.06, p<0.05) and acute A-wave KE (beta=−0.17±0.08, p<0.05) independently predicted adverse remodelling at 3 months. A regression-model comprising of acute MVO and A-wave KE had high predictive value for adverse LV-remodelling (area under the curve=0.82, 95% confidence interval=0.7–0.9, p<0.001).ConclusionLV haemodynamic assessment by novel, semi-automated, 4D KE mapping adds incremental value to predict adverse LV-remodelling. A-wave KE and MVO size early after acute MI are independently associated with adverse LV-remodelling.
Journal Article