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Institution

Brno University of Technology

EducationBrno, Czechia
About: Brno University of Technology is a education organization based out in Brno, Czechia. It is known for research contribution in the topics: Computer science & Fracture mechanics. The organization has 6339 authors who have published 15226 publications receiving 194088 citations. The organization is also known as: Vysoké učení technické v Brně & BUT.


Papers
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Journal ArticleDOI
TL;DR: Bearing in mind all the positive aspects of employing extremophiles in industrial biotechnology, H. hydrothermalis seems to be a very interesting halophilic strain for production of PHA using lipid substrates.

57 citations

Journal ArticleDOI
TL;DR: Overall, this paper highlights some interesting and exciting research areas as well as possible synergies between different applications using biometric information and investigates the potential of utilizing biometrics beyond the presently limited field of security applications.
Abstract: The use of biometrics has been successfully applied to security applications for some time. However, the extension of other potential applications with the use of biometric information is a very recent development. This paper summarizes the field of biometrics and investigates the potential of utilizing biometrics beyond the presently limited field of security applications. There are some synergies that can be established within security-related applications. These can also be relevant in other fields such as health and ambient intelligence. This paper describes these synergies. Overall, this paper highlights some interesting and exciting research areas as well as possible synergies between different applications using biometric information.

57 citations

Journal ArticleDOI
28 Aug 2021-Sensors
TL;DR: In this paper, a comprehensive review of wearable systems for the remote management and automated assessment of COVID-19, taking into account the reliability and acceptability of the implemented technologies is presented.
Abstract: The COVID-19 pandemic has wreaked havoc globally and still persists even after a year of its initial outbreak. Several reasons can be considered: people are in close contact with each other, i.e., at a short range (1 m), and the healthcare system is not sufficiently developed or does not have enough facilities to manage and fight the pandemic, even in developed countries such as the USA and the U.K. and countries in Europe. There is a great need in healthcare for remote monitoring of COVID-19 symptoms. In the past year, a number of IoT-based devices and wearables have been introduced by researchers, providing good results in terms of high accuracy in diagnosing patients in the prodromal phase and in monitoring the symptoms of patients, i.e., respiratory rate, heart rate, temperature, etc. In this systematic review, we analyzed these wearables and their need in the healthcare system. The research was conducted using three databases: IEEE Xplore®, Web of Science®, and PubMed Central®, between December 2019 and June 2021. This article was based on the PRISMA guidelines. Initially, 1100 articles were identified while searching the scientific literature regarding this topic. After screening, ultimately, 70 articles were fully evaluated and included in this review. These articles were divided into two categories. The first one belongs to the on-body sensors (wearables), their types and positions, and the use of AI technology with ehealth wearables in different scenarios from screening to contact tracing. In the second category, we discuss the problems and solutions with respect to utilizing these wearables globally. This systematic review provides an extensive overview of wearable systems for the remote management and automated assessment of COVID-19, taking into account the reliability and acceptability of the implemented technologies.

57 citations

Journal ArticleDOI
TL;DR: In this paper, a magnetorheological (MR) valve with short response time was designed and tested using an active zone in combination with a ferrite material for magnetic circuit, achieving an average response time of 4.1 ms and a maximum dynamic force range of eight.
Abstract: The paper deals with design, simulation and experimental testing of a magnetorheological (MR) valve with short response time. The short response time is achieved by a suitable design of an active zone in combination with use of a ferrite material for magnetic circuit. The magneto-static model and the simplified hydraulic model of the MR valve are examined and experimentally verified. The development the MR valve achieves an average response time 4.1 ms and the maximum dynamic force range of eight.

56 citations

Journal ArticleDOI
TL;DR: In this paper, a conceptual framework that provides critical challenges faced by private and government organisations, and the respective solutions of the challenges for the development of sustainable smart cities is developed. But, there is scarce research focusing on the challenges faced for the sustainable smart city development.
Abstract: Sustainable smart city development experience various challenges, such as legislation and policies, funding, infrastructure, and technological aspects. Numerous studies have highlighted the importance of sustainability concepts in smart cities' development. However, there is scarce research focusing on the challenges faced for the development of sustainable smart cities. This study aimed to develop a conceptual framework that provides critical challenges faced by private and government organisations, and the respective solutions of the challenges for the development of sustainable smart cities. Pakistan has been chosen as a case study that yields a total of 17 respondents from the executive, managerial, and operational levels of private enterprises and government organisations involved in smart city development. This research is a preliminary step towards providing insights and significance of infusing sustainability in the development of smart cities. The proposed conceptual framework can act as a practise guideline for practitioners to prepare themselves for sustainable smart city development.

56 citations


Authors

Showing all 6383 results

NameH-indexPapersCitations
Georg Kresse111430244729
Patrik Schmuki10976352669
Michael Schmid8871530874
Robert M. Malina8869138277
Jiří Jaromír Klemeš6456514892
Alessandro Piccolo6228414332
René Kizek6167216554
George Danezis5920911516
Stevo Stević583749832
Edvin Lundgren5728610158
Franz Halberg5575015400
Vojtech Adam5561114442
Lukas Burget5325221375
Jan Cermak532389563
Hynek Hermansky5131714372
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202328
2022106
20211,053
20201,010
20191,214
20181,131