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The emergence of new digital payment technologies has introduced both opportunities and challenges across all industries. This research aims to examine the significant factors that influence the adoption of new e-payment technologies, specifically in smart cities, as in Dubai. A comprehensive theoretical framework based on several previous studies included the following factors; Perceived Usefulness, Perceived…

Nowadays, the Internet has become an indispensable tool for the realization and continuity of activity at a different time, place, and technological context (e.g., mobile, pc, tablet), so that interaction techniques through the use of multi-device support have become of great interest. From this perspective, continuity in interactions is an essential concept in the face…

In vital energy applications especially the agricultural environments, the service of adaptive power utilization plays an essential role in facilitating the usage of Internet of Things systems. Such environments are distinguished by the large range of lands where most of the region lacks the commercial power lines. Reaching some high or deep sensing points is…

Hearing impairments have a negative impact in the lives of individuals living with them and those around such individuals. Different applications and technological tools have been developed to help reduce this negative impact. Most mobile applications that have been developed that use Speech-to-Text technology have been inconsistent such that they are not inclusive of all…

This paper aims to understand the impact of eLearning capabilities on organizational performance. It also addresses the obstacles of organizational learning using eLearning methods and highlighting some emerging trends and technologies that will impact the eLearning experience in organizations. It examines a brief history of knowledge management and how it is related to learning, organizational…

Classic surgical skill evaluation is performed by an expert surgeon examining an apprentice in a hospital operating room. This method suffers from being subjective and expensive. As surgery becomes more complex and specialized, there is an increase need for an automated surgical skill evaluation system that is more objective and determines more exactly the skills…

E-learning, among the most prominent modes of learning, offers learners the opportunity to attend online courses. To improve the quality of online learning, social learning through social networks promotes interaction and collaboration among learners. As part of the learning process management in these environments, the implementation of recommendation systems facilitates the provision of content adapted…

With the increase of smart factories and smart cities following the recent 4th industrial revolution, internal user authentication and authorization have become an important issue. The user authentication model using the server-client structure has a problem of forgery of the access history caused by the log manipulation of the administrator and unclearness of the responsibility.…

The article proposes an approach to evaluate human-computer interaction in the collective decision-making model. It is believed that all team members interact with each other through a distributed information system. The approach involves considering, when modelling, the personality characteristics of perception, each member of the team as a set of cognitive styles. Within the scope…

In this COVID-19 pandemic, it has been registered that children with autism are not learning properly with this virtual modality in Peruvian education. The main objective of this research work is to design a mobile application with augmented reality so that autistic children can improve their cognitive development in their virtual and face-to-face classes, the…

This paper presents a new floating-point technology: Bounded Floating Point (BFP) that constrains inexact floating-point values by adding a new field to the standard floating point data structure. This BFP extension to standard floating point identifies the number of significant bits of the representation of an infinitely accurate real value, which standard floating point cannot.…

Data aggregation, gathering and gossiping are all vital communication tasks in wireless sensor networks (WSNs). When all networking devices are always active, scheduling algorithms for these communication tasks have been extensively investigated under both the protocol and physical interference models. However, wireless devices usually switch between the sleep state and the active state for the…

IoT platforms play an important role on modern measurement systems because they allow the ingestion and processing of huge amounts of data (big data). Given the increasing use of these platforms, it is important to characterize their performance and robustness in real application scenarios. The paper analyzes the ThingSpeak platform by measuring the latencies associated…

Internet Protocol version 6 is being adopted on slow pace and it is taking a long time. This paper intends to discuss the transition process between IPv4 and IPv6 and the major obstacles that prevent deploying IPv6 worldwide. It presents the IPv4 exhaustion reports results and where are the IPv4 address pool. Then it presents…

“This paper is an extension of work originally presented in the 4th International Conference on Systems of Collaboration, Big Data, Internet of Things & Security -SysCoBIoTS’19”. The use of complex and dynamic systems modelling to social systems is quite recent and its pertinence in the case of an educational system is continually increasing. For the…

The Blockchain technologies enable decentralized networking consisting of large number of nodes. To determine the shared states and failures of all nodes in a fully distributed peer-to-peer system, the appropriate consensus algorithm needs to be selected for each Internet of Things system. In this paper, a novel hierarchical voting-based byzantine fault tolerance (HBFT) consensus algorithm…

Growing adoption of cryptocurrencies by institutional investors coupled with recurring incidents of loss of access to digital wallets have resulted in emergence of custodial services for high net worth individuals and institutions. However, such services are not economically feasible for the wider community of crypto owners who are left with no recourse for recovery of…

The purpose of this study is to show how to design the character used as the symbol or Mascot of the educational institution and how to apply the design results into advertising and Brand identity design such as printing art, poster, digital media, toy, and souvenir. In this study, the ideas of mascot design have…

In this study, we developed and evaluated an automatic abstractive summarization algorithm in Japanese using a neural network. We used a sequence-to-sequence encoder-decoder model for practical purposes. The encoder obtained a feature-based input vector of sentences using the bidirectional encoder representations from transformers (BERT) technique. A transformer-based decoder returned the summary sentence from the output…

Automatic Dependent Surveillance-Broadcast (ADS-B) is the future of aviation. It is a vast system that provides situational awareness for the aviator and regulator at a very low cost and does so with the aid of multiple disparate systems working closely together and communicating with one another. ADS-B uses the Global Navigation Satellite System (GNSS/ GPS)…

Diabetes Mellitus Type 2 is a chronic disorder that affects the way the body metabolizes sugar (glucose) in the blood and depends on a combination of risk factors, such as genes and lifestyle. Although certain risk factors such as family history, age, or ethnicity cannot be changed, those related to diet, physical activity, and weight…

The adoption and diffusion of mobile applications (mobile apps) has become the base of modern activities in Africa owing to the services and values that are obtained through mobile apps innovations. More emphasis has been on the development of mobile apps whereas the adoption and diffusion process as well as their predictors are ignored or…

Biological networks represent biological systems, and various graph analysis algorithms have been applied to solve various real-world problems. Network motif analysis, as one of network analyses, is detecting frequently and uniquely over-occurring subgraph patterns in a network. The detection process requires high computational resources, and various tools have been developed to provide efficient solutions. However,…

In an intelligent transportation system (ITS), time is a big challenge since processing a huge amount of data in a short time is very difficult, especially when the processed data is heterogeneous, consisting of a mixture of emergency data, normal data, and noise. In an ITS, an ambulance is one of the priority vehicles, and…

The huge number of images on the image sharing websites poses challenges for classification and retrieval of the images. On many image sharing websites, tags can be assigned by the users to an image that describes the contextual and visual description of an image. However, ambiguous or incorrect tags have appeared in frequent tags that…