This paper reviews the use of Minikube in multi-node mode to work with the ETSI MEC Sandbox as a lightweight multi-access edge computing platform simulator (LWMECPS). The work included a comparative analysis of MEC pl...
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Cities are facing challenges of high rise in population number and con-sequently need to be equipped with latest smart services to provide luxuries of life to its *** integrated solutions are also a need to deal with ...
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Cities are facing challenges of high rise in population number and con-sequently need to be equipped with latest smart services to provide luxuries of life to its *** integrated solutions are also a need to deal with the social and environmental challenges,caused by increasing ***,the development of smart services’integrated network,within a city,is facing the bar-riers including;less efficient collection and sharing of data,along with inadequate collaboration of software and *** to resolve these issues,this paper recommended a solution for a synchronous functionality in the smart services’integration process through modeling *** this integration modeling solution,atfirst,the service participants,processes and tasks of smart services are identified and then standard illustrations are developed for the better understand-ing of the integrated service group *** process modeling and notation(BPMN)language based models are developed and discussed for a devised case study,to test and experiment i.e.,for remote healthcare from a smart *** research is concluded with the integration process model application for the required data sharing among different service *** outcomes of the modeling are better understanding and attaining maximum automation that can be referenced and replicated.
This paper proposes an innovative decision support system based on sentiment analysis, specifically designed for the transportation sector. The system employs an aspect-based sentiment analysis approach, which accurat...
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ISBN:
(数字)9798350369106
ISBN:
(纸本)9798350369113
This paper proposes an innovative decision support system based on sentiment analysis, specifically designed for the transportation sector. The system employs an aspect-based sentiment analysis approach, which accurately identifies and classifies customer opinions on key transportation service aspects such as comfort, driver behavior, punctuality, and vehicle condition. By integrating the BERT model, known for its advanced natural language processing capabilities, our system provides an in-depth and reliable analysis of customer sentiments. This analysis enables managers and decision-makers to better understand the strengths and weaknesses of the provided transportation services and to precisely target areas that require improvement. By offering actionable insights, our approach aims to enhance the user experience, improve service quality, and increase overall customer satisfaction.
This paper presents a comprehensive study on the impact of the output capacitor on the performance and operating modes of a Buck DC-DC converter. The output capacitor plays a critical role in stabilizing the output vo...
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The conducted research aims to develop a computer vision system for a small-sized mobile humanoid robot. The decentralization of the servomotor control and the computer vision systems is investigated based on the hard...
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In recent years, the concept of Digital Twins has gained significant popularity across various industries, including power electronics. This paper explores the application of Digital Twins in the design and operation ...
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Big data applications in healthcare have provided a variety of solutions to reduce costs,errors,and *** work aims to develop a real-time system based on big medical data processing in the cloud for the prediction of h...
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Big data applications in healthcare have provided a variety of solutions to reduce costs,errors,and *** work aims to develop a real-time system based on big medical data processing in the cloud for the prediction of health *** the proposed scalable system,medical parameters are sent to Apache Spark to extract attributes from data and apply the proposed machine learning *** this way,healthcare risks can be predicted and sent as alerts and recommendations to users and healthcare *** proposed work also aims to provide an effective recommendation system by using streaming medical data,historical data on a user’s profile,and a knowledge database to make themost appropriate real-time recommendations and alerts based on the sensor’s *** proposed scalable system works by tweeting the health status attributes of *** cloud profile receives the streaming healthcare data in real time by extracting the health attributes via a machine learning prediction algorithm to predict the users’health ***,their status can be sent on demand to healthcare ***,machine learning algorithms can be applied to stream health care data from wearables and provide users with insights into their health *** algorithms can help healthcare providers and individuals focus on health risks and health status changes and consequently improve the quality of life.
In the presented work, a harmonic analysis has been implemented to determine the resonance occurrence node of the Sepic DC-DC converter. The simulation studies were implemented in MATLAB/Simulink. Two cases of transis...
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The development of smart systems is fundamental to improve the competitiveness of tourist destinations, by exploiting technologies such as Recommender systems (RS) and Decision Support systems (DSS). In this article, ...
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ISBN:
(数字)9798350369106
ISBN:
(纸本)9798350369113
The development of smart systems is fundamental to improve the competitiveness of tourist destinations, by exploiting technologies such as Recommender systems (RS) and Decision Support systems (DSS). In this article, we propose an approach based on Model-Driven engineering (MDE) for the creation of a software factory dedicated to the design of RS and DSS for tourism destination managers. This software factory is based on two main assets: a Domain-Specific Language (DSL) for recommendation systems and another DSL for decision support systems. The main aim of this approach is to reduce the complexity and development time of this type of application.
Cloud security vulnerabilities have recently become more prevalent around the world, posing a threat to cloud service providers’ (CSPs) ability to respond to client demands. In cloud market, the requests are announce...
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