39 research outputs found
Investigation of Teachers’ Attitudes towards Computer Use in Primary Education in Kurdistan
Full text linkTechnological advances have pervasively changed our behaviours, beliefs and approaches in working, socialising and entertaining. Educators, including those in primary education, have acknowledged the positive effects of computer use in the classroom in various ways. With regard to pedagogical consideration, primary school teachers have adopted computer use in teaching pupils with emphasis on student-centred teaching techniques. The integration of computers in the primary curriculum has been applied in many countries, from developing (Chile) to developed nations (the US and UK). With regard to Iraqi Kurdistan, in particular, the education sector has undergone a major reform in order to improve the regional education standards and, as part of a new curriculum, the computer element has been embedded alongside the mathematics subject. Since the reform occurred, no academic study has been conducted to not only evaluate the effectiveness and efficiency of computer use in primary schools in Kurdistan, but also to investigate teachers’ attitudes towards the use of computers in their teaching approach. Hence, the present study aims primarily to explore the general background of primary school teachers as well as their experiences, skills and pedagogical attitudes towards computer use in primary education. Keywords: Computer use, technology, primary schools; teachers; pedagogical approaches
Human gait analysis for biometric identification and authentication
No full textEThOS - Electronic Theses Online ServiceGBUnited Kingdo
Gait Recognition for Children over a Longer Period
Full text linkThis is the copy of the book chapter originally published in: Brömme, A., Busch, Ch. (ed.)(2011). Lecture Notes in Informatics, BIOSIG 2011, Proceedings - International Conference of the Biometrics Special Interest Group; 8.-9. September 2011 in Darmstadt. Bonn: Gesellschaft für Informatik. Reprinted with permission from Gesellschaft für Informatik
TOWARDS IMPROVED THREAT MITIGATION IN DIGITAL ENVIRONMENTS: A COMPREHENSIVE FRAMEWORK FOR CYBERSECURITY ENHANCEMENT
Full text linkIn today's digital landscape, cybersecurity has become a critical concern due to the increasing sophistication of cyber threats. Traditional cybersecurity measures are often inadequate against evolving attacks, necessitating the development of comprehensive and adaptive threat mitigation frameworks. This study aims to address this gap by proposing a robust cybersecurity framework that integrates advanced technologies such as artificial intelligence (AI), machine learning (ML), and blockchain to enhance threat detection, response, and recovery capabilities. The framework adopts a layered defense mechanism, real-time monitoring, and proactive threat hunting to provide a holistic approach to cybersecurity. By examining current methodologies and identifying their limitations, this research highlights the necessity for enhanced threat mitigation strategies. Through a mixed-methods approach involving online surveys and literature review, the study develops a flexible, scalable, and adaptive framework capable of countering sophisticated cyber threats. Key recommendations include adopting advanced technologies, continuous training, enhancing threat intelligence sharing, implementing a layered defense strategy, and conducting regular security audits. This comprehensive framework aims to improve organizational resilience, ensuring the safety and integrity of digital environments in the face of an ever-evolving cyber threat landscape
Gait Recognition for Children over a Longer Period
No full textThis is the copy of the book chapter originally published in: Brömme, A., Busch, Ch. (ed.)(2011). Lecture Notes in Informatics, BIOSIG 2011, Proceedings - International Conference of the Biometrics Special Interest Group; 8.-9. September 2011 in Darmstadt. Bonn: Gesellschaft für Informatik. Reprinted with permission from Gesellschaft für Informatik
Outlier detection in network data using the Betweenness Centrality, 2015
Full text linkOutlier detection has been used to detect and, where appropriate, remove anomalous observations from data. It has important applications in the field of fraud detection, network robustness analysis, and intrusion detection. In this paper, we propose a Betweenness Centrality (BEC) as novel to determine the outlier in network analyses. The BEC of a vertex on a graph is a measure for the participation of the vertex in the shortest paths in the graph. The BEC is widely used in network analyses. Especially in a social network, the recursive computation of the BEC of vertices is performed for the community detection and finding the influential user in the network. In this paper, we propose that this method is efficient for finding outlier in social network analyses. Furthermore we show the effectiveness of the new methods
Theoretical study of the binding energy of some gases on Al-doped carbon nanotube
No full textAbstractAdsorption of a single molecule of the gases, H2O, NH3 and HF inside and on the surface of a tube of Al-doped (5,0) single-walled carbon nanotubes (Al-CNT) was investigated using Density Functional Theory (DFT) at the B3LYP/6-31G(d) level. The results showed that adsorption of Al-CNT is independent of special orientation, all guest molecules prefer to be adsorbed into the surface of Al-CNT rather than into the CNT tube, and that HF binds stronger than H2O, which binds stronger than NH3. Upon adsorption of the guest molecules, the energy gap of Al-CNT was considerably reduced, resulting in improved electrical conductivity. DOS and NBO analysis were performed to discover intermolecular interactions. Chemical reactivity was investigated in terms of chemical hardness, softness and absolute electronegativity
Theoretical study of the adsorption energy of some linear saturated hydrocarbons on SWCNT: DFT calculations
No full textTheoretical investigation of X<sub>12</sub>O<sub>12</sub> (X = Be, Mg, and Ca) in sensing CH<sub>2</sub>N<sub>2</sub>: A DFT study
No full textThe feasibility of detecting diazomethane (CH2N2) in the gas phase by adsorption onto the exterior surface of inorganic-based X12O12 (where X can be Be, Mg, or Ca) nanocages is investigated here using DFT. All the structures, including those of the pristine CH2N2 and of the nanocages, as well as of the CH2N2/nanocage systems, have been optimized using the B3LYP-D3, M06-2X, ωB97XD, and CAM-B3LYP functionals, in conjunction with 6-311G(d) basis set. NBO, NCI, and QTAIM analyses results are in good agreement with each other. Furthermore, the Density Of States (DOSs), the natural charges, the Wiberg Bond Indices (WBI), and natural electron configurations were considered to investigate the nature of intermolecular interactions. The energy calculations indicate a strong size-dependent adsorption, with the nanocages comprised of large atoms being able to attract CH2N2 more strongly, and hence bind with it more effectively. The adsorption incurs also significant changes to HOMO and LUMO energies.Accepted Author ManuscriptAtmospheric Remote Sensin
Silicon Carbide Based Nanotubes as a Sensing Material for Gaseous H<sub>2</sub>SiCl<sub>2</sub>
No full textThe ability of carbon- and silicon-based nanotubes, including pure carbon, silicon carbide, and Ge-doped silicon carbide nanotubes (CNT, SiCNT, SiCGeNT, respectively), for sensing highly toxic dichlorosilane (H2SiCl2) are investigated using quantum chemistry calculations. The intermolecular interactions between the sensing material and the gas molecule have been investigated with the density functional theory calculations with a functional that includes dispersion terms. The selected method employed is B3LYP-D3 (GD3BJ)/6-311G(d), while other functionals including PBE0, ωB97XD, and M06-2X have been used for comparison. The quantum theory of atoms in molecules (QTAIM) analysis is employed to check the type of intermolecular interactions. Natural bond orbital (NBO) calculations have been used to deduce the bond orders. The findings of this work indicate that the adsorption of the H2SiCl2 is a physisorption process, which is very desirable for its function as a sensing element. The Ge-doped nanotube offers maximum adsorption energy in comparison to CNT and SiCNT.Green 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.Atmospheric Remote Sensin
