| 61. |
- Abedin, Sarder, et al.
(author)
-
Data Freshness and Energy-Efficient UAV Navigation Optimization : A Deep Reinforcement Learning Approach
- 2021
-
In: IEEE transactions on intelligent transportation systems (Print). - 1524-9050 .- 1558-0016. ; 22:9, s. 5994-6006
-
Journal article (peer-reviewed)abstract
- In this paper, we design a navigation policy for multiple unmanned aerial vehicles (UAVs) where mobile base stations (BSs) are deployed to improve the data freshness and connectivity to the Internet of Things (IoT) devices. First, we formulate an energy-efficient trajectory optimization problem in which the objective is to maximize the energy efficiency by optimizing the UAV-BS trajectory policy. We also incorporate different contextual information such as energy and age of information (AoI) constraints to ensure the data freshness at the ground BS. Second, we propose an agile deep reinforcement learning with experience replay model to solve the formulated problem concerning the contextual constraints for the UAV-BS navigation. Moreover, the proposed approach is well-suited for solving the problem, since the state space of the problem is extremely large and finding the best trajectory policy with useful contextual features is too complex for the UAV-BSs. By applying the proposed trained model, an effective real-time trajectory policy for the UAV-BSs captures the observable network states over time. Finally, the simulation results illustrate the proposed approach is 3.6 % and 3.13 % more energy efficient than those of the greedy and baseline deep Q Network (DQN) approaches.
|
|
| 62. |
|
|
| 63. |
- Abikari, Masoome
(author)
-
Emotions, perceived risk and intentions to adopt emerging e-banking technology amongst educated young consumers
- 2024
-
In: International Journal of Bank Marketing. - : Emerald. - 0265-2323 .- 1758-5937. ; 42:5, s. 1036-1058
-
Journal article (peer-reviewed)abstract
- Purpose: The purpose of this paper is to examine the association between consumers’ emotions towards emerging e-banking technology, perceived risk and subsequent intention to adopt emerging e-banking technology. Design/methodology/approach: An online questionnaire was used to collect data, which were analysed in a quantitative study. The final sample of 224 educated young consumers, familiar with emerging e-banking technology, allowed testing of the research hypotheses by applying confirmatory factor analysis and structural equation modelling (SEM). Findings: The empirical results indicate that deterrence emotions and hedonic motivation are associated with consumers’ perceived risk and, subsequently, their intention to adopt emerging e-banking technology. Additionally, analysing the moderating role of hedonic motivation in the association between consumers’ deterrence emotions towards emerging e-banking technology and their perceived risk highlights the significant association of deterrence emotions with perceived risk, regardless of the presence of hedonic motivation. Originality/value: This study demonstrates the association between consumers’ emotions, perceived risk and subsequent intention to adopt emerging e-banking technology whilst underscoring the importance of distinguishing between different types of emotions and their corresponding appraisals.
|
|
| 64. |
|
|
| 65. |
- Abikari, Masoome, et al.
(author)
-
Negative emotions and consumer behavioural intention to adopt emerging e-banking technology
- 2023
-
In: Journal of Financial Services Marketing. - : Springer Nature. - 1363-0539 .- 1479-1846. ; 28:4, s. 691-704
-
Journal article (peer-reviewed)abstract
- Successful implementation of e-banking technology depends on how consumers perceive the technology and how likely they are to adopt it. Although several studies have analysed the impact of some specific negative emotions, few studies examine a broad range of consumers’ negative emotions (i.e. both deterrence and loss emotions) arising from appraisals of e-banking technology. This study investigates the possible relationships between deterrence and loss emotions, and consumers’ behavioural intention to adopt emerging e-banking technology. Based on the unified theory of acceptance and use of technology, partial least squares structural equation modelling was used to analyse a conceptual model and related hypotheses. The empirical evidence draws attention to the relationship between loss emotions and consumers’ behavioural intention to adopt emerging e-banking technology through effort expectancy and performance expectancy, respectively.
|
|
| 66. |
- Abikari, Masoome
(author)
-
Young consumers’ emotions towards emerging e-banking technology : A multi-perspective approach
- 2024
-
Licentiate thesis (other academic/artistic)abstract
- Banks appear to be interested in enhancing their effectiveness and efficiency by developing e-banking technology, i.e., the provision of banking products and services through electronic channels. However, the successful implementation of e-banking technology depends on how consumers perceive such technology and how they are probably provoked to adopt it. Considering emerging e-banking technologies, knowledge of the salient influential factors affecting consumer adoption is crucial for banks. Studies have analysed these factors from different perspectives, such as attribute- and barrier-based perspectives. Attribute-based factors pertain to the perceived or expected characteristics of e-banking technology, whereas barrier-based factors refer to factors that can hinder or delay the adoption of e-banking technology. Despite the absence of consensus on these factors, there is a predominant focus on the functional aspects of this technology, often neglecting the emotional experience of consumers. Consumers’ emotions in the e-banking context mainly refer to hedonic motivation, defined as positive emotions such as fun, pleasure, and enjoyment arising from the usage of e-banking technology. While examining hedonic motivation has provided valuable insights into the adoption of such technology, further studies are required to examine the relationship among consumers’ emotions, particularly negative ones arising from different kinds of appraisals. Accordingly, this thesis aims to examine the influence of consumers’ emotions towards emerging e-banking technology on their intention to adopt such technology, with a specific emphasis on negative emotions from attribute and barrier-based perspectives. Applying Structural equation modelling (SEM), the empirical results draw attention to the influential role of different types of negative emotions in the adoption of emerging e-banking technology. From the attribute-based perspective, the empirical results demonstrate an association between loss emotions and consumers’ behavioural intention to adopt emerging e-banking technology, through effort expectancy and performance expectancy. From a barrier-based perspective, the results indicate that deterrence emotions can be positively associated with consumers’ perceived risk. This, in turn, influences their behavioural intention to adopt emerging e-banking technology. The results also reveal the influence of deterrence emotions on consumers’ perceived risk, even in the presence of positive emotions. These results suggest the importance of considering various categories of negative emotions when examining consumers’ intention to adopt emerging e-banking technology.
|
|
| 67. |
- Abo Khalaf, Mulham
(author)
-
Edge on Wheels : Design and Challenges in Real-time Object Detection
- 2024
-
Conference paper (peer-reviewed)abstract
- Teleoperation is increasingly valued for its costeffectiveness and safety benefits in managing workflows acrossindustries like harbor automation, construction, transportationand logistics, mining, and forestry. Ensuring the safe operation ofheavy machinery involves effectively transferring and visualizingthe vehicle’s state and surroundings to remote operators for realtime tasks. Multi-camera video-based environment perceptionand state knowledge are crucial but bandwidth-intensive. Toaddress this, integrating computing functions at the edge isvital. This paper presents ”edge on wheels,” a system designusing the YOLO model for object detection/depth perceptiontasks. We divide the design into edge and cloud components,where offloading decisions on edge and cloud are based onworkload, task priority, and network quality. Finally, we discusschallenges and future enhancements for real-time object detectionin teleoperated driving scenarios.
|
|
| 68. |
- Aboelfotoh, M. O., et al.
(author)
-
Schottky-barrier behavior of metals on n- and p-type 6H-SiC
- 2003
-
In: Physical Review B. Condensed Matter and Materials Physics. - 1098-0121 .- 1550-235X. ; 67:7, s. 075312-
-
Journal article (peer-reviewed)abstract
- The Schottky-barrier height of a number of metals (Ti, Ni, Cu, and Au) on n- and p-type Si-terminated 6H-SiC has been measured in the temperature range 150-500 K. It is found that the barrier height to n-type 6H-SiC does not exhibit a temperature dependence, while for p-type 6H-SiC the change in the barrier height with temperature follows very closely the change in the indirect energy gap in 6H-SiC. These results are inconsistent with models of Schottky-barrier formation based on the concept of a charge neutrality level. Furthermore, the present results cannot be reconciled with a defect pinning mechanism, contrary to the conclusions of earlier studies on III-V compound semiconductors. We suggest that chemical bonding at the metal-semiconductor interface plays an important role in determining the Schottky-barrier height.
|
|
| 69. |
- Aboelwafa, Mariam M. N., et al.
(author)
-
A Machine-Learning-Based Technique for False Data Injection Attacks Detection in Industrial IoT
- 2020
-
In: IEEE Internet of Things Journal. - Piscataway : Institute of Electrical and Electronics Engineers (IEEE). - 2327-4662. ; 7:9, s. 8462-8471
-
Journal article (peer-reviewed)abstract
- The accelerated move toward the adoption of the Industrial Internet-of-Things (IIoT) paradigm has resulted in numerous shortcomings as far as security is concerned. One of the IIoT affecting critical security threats is what is termed as the false data injection (FDI) attack. The FDI attacks aim to mislead the industrial platforms by falsifying their sensor measurements. FDI attacks have successfully overcome the classical threat detection approaches. In this article, we present a novel method of FDI attack detection using autoencoders (AEs). We exploit the sensor data correlation in time and space, which in turn can help identify the falsified data. Moreover, the falsified data are cleaned using the denoising AEs (DAEs). Performance evaluation proves the success of our technique in detecting FDI attacks. It also significantly outperforms a support vector machine (SVM)-based approach used for the same purpose. The DAE data cleaning algorithm is also shown to be very effective in recovering clean data from corrupted (attacked) data. © 2014 IEEE.
|
|
| 70. |
- Abou Zaid, Fathi
(author)
-
Staff and student perspectives and effects of positive behaviour support : a literature review
- 2024
-
In: Educational Psychology in Practice. - : Informa UK Limited. - 0266-7363 .- 1469-5839. ; 40:2, s. 125-140
-
Research review (peer-reviewed)abstract
- Positive behaviour support (PBS) has been receiving increased attention recently but has not been studied from the perspectives of staff and students in Sweden. This article presents an integrative and systematic literature review focusing on international research concerning staff and student perspectives on the effects of PBS. The aim was to describe staff and student perspectives regarding PBS and its effects, between 2000 and 2022. The findings indicate that there is a lack of empirical research involving the combination of staff and student perspectives of the effects of PBS. The existing research is mostly from elementary schools age range 6 to 13. However, the findings suggest that there have been several studies that aim to gain a better understanding of teachers’ and students’ perspectives of how PBS enhances student social relationships, lowers problem behaviour and increases academic performance. According to the current findings, the success of the PBS approach is greatly influenced by the efficacy of execution and the leadership of the schools support for implementation.
|
|
