Brno University of Technology

About: Brno University of Technology is a education organization based out in Brno, Czechia. It is known for research contribution in the topics: Fracture mechanics & Filter (video). 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.

Feasibility characterization of cryptographic primitives for constrained (wearable) IoT devices

Abstract: The Internet of Things (IoT) employs smart devices as its building blocks for developing a ubiquitous communication framework. It thus supports a wide variety of application domains, including public safety, healthcare, education, and public transportation. While offering a novel communication paradigm, IoT finds its requirements closely connected to the security issues. The role of security following the fact that a new type of devices known as wearables constitute an emerging area. This paper delivers an applicability study of the state-of-the-art cryptographic primitives for wearable IoT devices, including the pairing-based cryptography. Pairing-based schemes are well-recognized as fundamental enablers for many advanced cryptographic applications, such as privacy protection and identity-based encryption. To deliver a comprehensive view on the computational power of modern wearable devices (smart phones, watches, and embedded devices), we perform an evaluation of a variety of them utilizing bilinear pairing for real-time communication. In order to deliver a complete picture, the obtained bilinear pairing results are complemented with performance figures for classical cryptography (such as block ciphers, digital signatures, and hash functions). Our findings show that wearable devices of today have the needed potential to efficiently operate with cryptographic primitives in real time. Therefore, we believe that the data provided during this research would shed light on what devices are more suitable for certain cryptographic operations.

Point spread function and two-point resolution in Fresnel incoherent correlation holography.

Abstract: Fresnel Incoherent Correlation Holography (FINCH) allows digital reconstruction of incoherently illuminated objects from intensity records acquired by a Spatial Light Modulator (SLM) The article presents wave optics model of FINCH, which allows analytical calculation of the Point Spread Function (PSF) for both the optical and digital part of imaging and takes into account Gaussian aperture for a spatial bounding of light waves The 3D PSF is used to determine diffraction limits of the lateral and longitudinal size of a point image created in the FINCH set-up Lateral and longitudinal resolution is investigated both theoretically and experimentally using quantitative measures introduced for two-point imaging Dependence of the resolving power on the system parameters is studied and optimal geometry of the set-up is designed with regard to the best lateral and longitudinal resolution Theoretical results are confirmed by experiments in which the light emitting diode (LED) is used as a spatially incoherent source to create object holograms using the SLM

Combination of strongly and weakly constrained recognizers for reliable detection of OOVS

Abstract: This paper addresses the detection of OOV segments in the output of a large vocabulary continuous speech recognition (LVCSR) system. First, standard confidence measures from frame-based word- and phone-posteriors are investigated. Substantial improvement is obtained when posteriors from two systems - strongly constrained (LVCSR) and weakly constrained (phone posterior estimator) are combined. We show that this approach is also suitable for detection of general recognition errors. All results are presented on WSJ task with reduced recognition vocabulary.

COVID-19 pandemic facilitating energy transition opportunities.

Abstract: This perspective paper has been suggesting and discussing some of the energy transition opportunities facilitated by COVID-19 pandemics. A strong base in a cluster of innovative technologies is expected. They have been spread out of distance meeting and learning, massive home office use, the growing popularity of e-shopping, raise in e-socialising, related to this intensifying the data transmissions as 5G and considering 6G, urban and sanitary reforms, remote and robotic health monitoring and even treatment, related preference to shortening the commuting, intelligent traffic control, strengthening to favour self-driving autonomous vehicles, advanced digital manufacturing challenging remote and distance production operating, remote construction and building as remote drilling, automated waste management collection and treatment, and also applications of novel ways for deliveries as, for example, drone. Each of them is having some pros and cons related to energy consumptions. Are the beneficial features able to offset its own energy consumption and the rebound effects of increasing demand?

Alzheimer's disease and automatic speech analysis: A review

Abstract: The objective of this paper is to present the state of-the-art relating to automatic speech and voice analysis techniques as applied to the monitoring of patients suffering from Alzheimer's disease as well as to shed light on possible future research topics. This work reviews more than 90 papers in the existing literature and focuses on the main feature extraction techniques and classification methods used. In order to guide researchers interested in working in this area, the most frequently used data repositories are also given. Likewise, it identifies the most clinically relevant results and the current lines developed in the field. Automatic speech analysis, within the Health 4.0 framework, offers the possibility of assessing these patients, without the need for a specific infrastructure, by means of non-invasive, fast and inexpensive techniques as a complement to the current diagnostic methods.