Search results for "Intelligence"
showing 10 items of 6959 documents
On Assessing Vulnerabilities of the 5G Networks to Adversarial Examples
2022
The use of artificial intelligence and machine learning is recognized as the key enabler for 5G mobile networks which would allow service providers to tackle the network complexity and ensure security, reliability and allocation of the necessary resources to their customers in a dynamic, robust and trustworthy way. Dependability of the future generation networks on accurate and timely performance of its artificial intelligence components means that disturbance in the functionality of these components may have negative impact on the entire network. As a result, there is an increasing concern about the vulnerability of intelligent machine learning driven frameworks to adversarial effects. In …
Finnish 5th and 6th grade students' pre-instructional conceptions of artificial intelligence (AI) and their implications for AI literacy education
2022
In the present paper, we report the findings of a qualitative survey study of 195 Finnish 5th and 6th grade students' pre-instructional conceptions of artificial intelligence (AI). An exploration of these initial conceptions provides insight into students' preliminary understanding of the topic and informs curriculum designers and teachers about misconceptions that might jeopardize student learning. The findings suggest that students' initial conceptions of AI are varied and often uninformed. For instance, references to the role of data in training AI applications were practically nonexistent. Instead, AI was often described as an anthropomorphic technology that possesses cognitive qualitie…
Konstytucyjne wartości u progu ery sztucznej inteligencji
2021
Artykuł prezentuje wartości konstytucyjne narażone na pogwałcenie ze strony rozwiązań wykorzystujących AI. W oparciu o metodę dogmatyczno-prawną poddano analizie poglądy polskiego prawa konstytucyjnego od przemian z 1989 r. W badaniu wpływu AI na przyjęte wartości wykorzystano literaturę przedmiotu, głównie z lat 2017–2020. Celem opracowania jest identyfikacja istotnych wartości konstytucyjnych narażonych na zagrożenia wynikające z rozwoju AI. Spośród wielu wartości konstytucyjnych wykazano, że kluczowe są godność człowieka oraz rządy prawa i demokracja jako najbardziej narażone na ingerencję ze strony AI. Przedstawiono przykłady ingerencji AI w wartości przynależne człowiekowi oraz powiąza…
Akadēmiskā prokrastinācija, emocionālais intelekts un kontroles lokuss studentiem.
2016
Šī maģistra darba mērķis bija noskaidrot, cik lielā mērā emocionālais inteleks un kontroles lokuss paredz prokrastināciju un noteikt saistības starp prokrastināciju, emocionālo intelektu un kontroles lokusu. Pētījumā piedalījās 109 studējoši respondenti vecumā no 19 līdz 42 gadiem (M = 25,5; SD = 5,43). Pētījumā tika pielietotas trīs aptaujas: Akadēmiskās prokrastinācijas aptauja (Academic Procrastination Scale, Lay,1986), Emocionālā intelekta aptauja (The Self-Report Emotional Intelligence Test, STREIT, Schutte et al., 1998, kā minēts Shutte, Malouff & Bhullar, 2009) un Internālā – eksternālā kontroles lokusa skala (Rotter, J.B., 1966). Rezultāti rāda, ka prokrastinācija negatīvi korelē ar…
Przestępstwa terrorystyczne w polskim prawie karnym
2016
Komunikācijas zinātnes doktorantu sekcija: Kopsavilkumi : 2021. gada 17. februāris
2021
HIGH QUALITY TEXTURE MAPPING PROCESS AIMED AT THE OPTIMIZATION OF 3D STRUCTURED LIGHT MODELS
2019
Abstract. This article presents the evaluation of a pipeline to develop a high-quality texture mapping implementation which makes it possible to carry out a semantic high-quality 3D textured model. Due to geometric errors such as camera parameters or limited image resolution or varying environmental parameters, the calculation of a surface texture from 2D images could present several color errors. And, sometimes, it needs adjustments to the RGB or lightness information on a defined part of the texture. The texture mapping procedure is composed of mesh parameterization, mesh partitioning, mesh segmentation unwraps, UV map and projection of island, UV layout optimization, mesh packing and mes…
BIFOCAL PAIRS OF IMAGES FOR LOW-COST SURVEY IN CLOSE RANGE PHOTOGRAMMETRY
2019
Abstract. This paper present a method for close range photogrammetry based on an camera positioning scheme in which two cameras capture an equal portion of an object at the same scale, but have different focal lengths and camera-to-object distances. This scheme is alternative to the stereoscopic scheme and is associated with a system of equations which permits one to calculate first the relief displacement of points on a photograph and then their relief relative to a reference plane. The obtained relief and relief displacement values can be used to produce low-cost orthophotographs by using software for image processing, which doesn’t need to be dedicated, but has to provide measurement and…
ESTIMATION OF OCEANIC PARTICULATE ORGANIC CARBON WITH MACHINE LEARNING
2020
Understanding and quantifying ocean carbon sinks of the planet is of paramount relevance in the current scenario of global change. Particulate organic carbon (POC) is a key biogeochemical parameter that helps us characterize export processes of the ocean. Ocean color observations enable the estimation of bio-optical proxies of POC (i.e. particulate backscattering coefficient, bbp) in the surface layer of the ocean quasi-synoptically. In parallel, the Argo program distributes vertical profiles of the physical properties with a global coverage and a high spatio-temporal resolution. Merging satellite ocean color and Argo data using a neural networkbased method has already shown strong potentia…
UAS BASED TREE SPECIES IDENTIFICATION USING THE NOVEL FPI BASED HYPERSPECTRAL CAMERAS IN VISIBLE, NIR AND SWIR SPECTRAL RANGES
2016
Abstract. Unmanned airborne systems (UAS) based remote sensing offers flexible tool for environmental monitoring. Novel lightweight Fabry-Perot interferometer (FPI) based, frame format, hyperspectral imaging in the spectral range from 400 to 1600 nm was used for identifying different species of trees in a forest area. To the best of the authors’ knowledge, this was the first research where stereoscopic, hyperspectral VIS, NIR, SWIR data is collected for tree species identification using UAS. The first results of the analysis based on fusion of two FPI-based hyperspectral imagers and RGB camera showed that the novel FPI hyperspectral technology provided accurate geometric, radiometric and sp…