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A Framework for Anything-as-a-Service on a Cloud platform 27

A Framework for Anything-as-a-Service on a Cloud platform

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27th International Conference on System Theory, control and Computing, ICSTCC 2023

作者： Alexandrescu, Adrian Mironeanu, Cătălin Faculty of Automatic Control and Computer Engineering Gheorghe Asachi Technical University of Iaşi Iaşi Romania

ISBN: (纸本)9798350337983

There is an increasing need for computational and storage capabilities for complex distributed applications. Existing solutions need to be deployed in an environment that allows for an increase in performance, scalability, and availability. This paper takes looks at the state-of-the-art regarding methods that take existing applications and make them more efficient by using Cloud services. The novelty of the paper consists of a proposed framework for deploying applications on three major Cloud providers (i.e., Amazon's AWS, Google Cloud and Microsoft Azure) and on the OpenStack open-source Cloud. After the main services from the four Cloud providers are identified, different deployment methods are described depending on the Cloud services and on the requirements of the application. Also, some examples of migrations are discussed with reference to specific Cloud provider services. The proposed solution for Anything-as-a-Service (YaaS) is a straightforward framework for taking different types of applications and migrating them to the Cloud. Therefore, the deployed applications benefit from Cloud features such as resource pooling, availability or scalability, while also being wary of the incurring costs. © 2023 IEEE.

关键词： Web services

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Cloud-based Architecture for Deploying a Distributed Ambient Assisted Living Environment 27

Cloud-based Architecture for Deploying a Distributed Ambient...

引用

27th International Conference on System Theory, control and Computing, ICSTCC 2023

作者： Botezatu, Nicolae Alexandrescu, Adrian Faculty of Automatic Control and Computer Engineering Gheorghe Asachi Technical University of Iaşi Iaşi Romania

ISBN: (纸本)9798350337983

Ambient Assisted Living (AAL) is starting to become the norm as more and more smart devices and sensors are installed in people's homes. This is an important aspect in improving the quality of life, especially for the elderly and for people with disabilities. The solution presented in this paper approaches this paradigm in a large scale deployment context, as it proposes an AAL architecture on three layers (Edge, Dew, and Cloud), which is capable of handling high amount of sensor data in near real-time. Using a distributed system of rules engines, the system is able to take actions based on the acquired data. An important novel concept is the"new home deployment", which facilitates the integration of the devices from a new installation site - the software setup of the new edge infrastructure is done by using a dedicated Cloud service. In order to showcase the practicality and efficiency of the architecture, this paper presents the intricacies of the employed services and service-interaction when deploying the solution on the OpenStack Cloud platform. © 2023 IEEE.

关键词： Cloud computing architecture

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Natural language processing for the automation of operations in an online bookstore 19

Natural language processing for the automation of operations...

引用

19th IEEE International Conference on Intelligent computer Communication and Processing Conference, ICCP 2023

作者： Iorga, Elena Dumitriu, Tiberius Gheorghe Asachi' Technical University of Iaşi Faculty of Automatic Control and Computer Engineering Iaşi Romania

ISBN: (纸本)9798350370355

The use of Natural Language Processing Algorithms (NLP) for automation purposes in various applications is frequently encountered recently. Some research managed to identify the dominant emotion from a text using neural networks (ANN), Random Forest (RF) and Support Vectors Machines (SVM) while other studies classified documents with the aim of mechanizing the extraction process of *** paper presents a study on different Natural Language Processing Algorithms (NLP) used for automation of a virtual bookstore. The objective was the application of artificial intelligence algorithms to streamline the necessary processes of an online bookstore or library, taking into consideration the short descriptions and summaries of the books. The aim is to improve the results obtained by supervised algorithms using various techniques such as aggregating unsupervised classifications. In order to boost their understanding of natural language, GPT is used to enhance the dataset by adding additional context. Finally, some of the methods utilized in improving accuracy can be used to create a personalized recommendation system that suits each reader's needs. © 2023 IEEE.

关键词： Automation

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An Occupant-Centric Comfort control Strategy Using Wearable Smart Devices in Smart-Buildings 12

An Occupant-Centric Comfort Control Strategy Using Wearable ...

引用

12th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications, IDAACS 2023

作者： Boicu, Mihaela-Gabriela Fagarasan, Ioana Stamatescu, Grigore Vasluianu, Mihaela Fudulu, Cosmin-Florin Dobrea, Marius-Alexandru University Politehnica of Bucharest Faculty of Automatic Control and Computer Science Romania Technical University of Civil Engineering of Bucharest Faculty of Hidrotechnics Romania

ISBN: (纸本)9798350358056

The paper presents a method of assessing thermal comfort in office rooms, using data collected from Fitbit bracelets. The result is a fuzzy system for the level of thermal comfort that wants to meet two objectives: reducing the energy consumption in the building and fulfilling the thermal comfort for the occupants. The representative factors taken into account in this study are: air temperature, relative humidity, user activity, clothing level and skin temperature. The proposed fuzzy system was modeled and simulated in the Matlab/SIMULINK development environment, showing satisfactory results after the analysis of the data taken over a period of several days. © 2023 IEEE.

关键词： comfort control strategy fuzzy control HVAC system smart-building Van Zuilen model

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Energy-independent solution using a medium-power wind turbine to ensure the irrigation deficit in an isolated agricultural areal 24

Energy-independent solution using a medium-power wind turbin...

引用

24th International Conference on control Systems and computer Science, CSCS 2023

作者： Fudulu, Cosmin-Florin Fagarasan, Ioana Boicu, Mihaela Gabriela Vasluianu, Mihaela Dobrea, Marius - Alexandru Neculoiu, Giorgian University Politehnica of Bucharest Faculty of Automatic Control and Computer Science Romania Technical University of Civil Engineering of Bucharest Faculty of Hidrotechnics Romania

ISBN: (纸本)9798350313390

Smart agricultural systems require irrigation systems powered by renewable energy sources that are also adaptable for isolated areas without connection possibility to the electricity network or the water network. For such situations, in this paper, a solution is proposed using a wind turbine and a submersible pump to feed a water basin, subsequently irrigation is done by free fall. The developed solution is designed and simulated using a model of a medium-power wind turbine, and a battery storage element with the aim of providing the necessary electricity for irrigation of an agricultural area in Buzau, where there is a water deficit. © 2023 IEEE.

关键词： Energy efficiency

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Decision System for Ensuring Thermal Comfort of Occupants in a Smart Building 24

Decision System for Ensuring Thermal Comfort of Occupants in...

引用

24th International Conference on control Systems and computer Science, CSCS 2023

作者： Boicu, Mihaela-Gabriela Stamatescu, Grigore Fudulu, Cosmin-Florin Dobrea, Marius-Alexandru Vasluianu, Mihaela Neculoiu, Giorgian University Politehnica of Bucharest Faculty of Automatic Control and Computer Science Romania Technical University of Civil Engineering of Bucharest Faculty of Hidrotechnics Romania

ISBN: (纸本)9798350313390

This paper presents the development of a system that uses fuzzy logic in order to evaluate the thermal comfort conditions expressed by means of a score by the occupants of an office room The inputs of the system are represented by three datasets relevant to the study: the air temperature, the positioning of the occupant and the level of activity carried out by the occupant. Based on the comfort score obtained, the HVAC system located at the room level will maintain a comfortable environment. The proposed solution also contributes to the minimization of energy consumption in buildings. In order to collect the data sets necessary for the study, we used the *** module as a wearable device. © 2023 IEEE.

关键词： Energy efficiency

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Energy Efficient IoT Air Quality Monitoring System 24

Energy Efficient IoT Air Quality Monitoring System

引用

24th International Conference on control Systems and computer Science, CSCS 2023

作者： Petrica, Silvian-Marian Fagarasan, Ioana Arghira, Nicoleta Stamatescu, Iulia Neculoiu, Giorgian Flangea, Oana University Politehnica of Bucharest Faculty of Automatic Control and Computer Science Romania Technical University of Civil Engineering of Bucharest Faculty of Hidrotechnics Romania

ISBN: (纸本)9798350313390

Air pollution is one of the major environmental issues discussed lately due to its influence on human health. Particular attention is paid to air quality monitoring today and most developed societies have implemented weather and air quality monitoring stations in various locations inside or outside cities to monitor and reduce the effects of poor air quality. Modern standards and sensors have started to be used in recent years to monitor air quality. Conventional air quality monitoring systems, on the other hand, are not able to provide real-time air quality data with acceptable spatial and temporal resolutions at a low cost, so the challenge is to achieve low-cost and energy-independent solutions. Using modern technologies, e.g. Internet of-things (IoT), an original approach is proposed for building an air quality monitoring system considering low cost equipment and efficient energy autonomous approach. Smart cities have successfully implemented air quality monitoring systems that combine both hardware and software. The results presented in the paper show the viability of the proposed solution, exposing the designed solution and different ways of presenting air quality monitoring. © 2023 IEEE.

关键词： Energy efficiency

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Pneumonia Detection from X-ray Images Using Convolutional Neural Networks 24

Pneumonia Detection from X-ray Images Using Convolutional Ne...

引用

24th International Conference on control Systems and computer Science, CSCS 2023

作者： Dediu, Viorel Udrea, Andreea Faculty of Automatic Control and Computer Science Univesity Politehnica of Bucharest Department of Automatic Control and Systems Engineering Bucharest Romania

ISBN: (纸本)9798350313390

Pneumonia is one of the top causes of death in Romania and early detection of this disease improves the recovery chances and shortens the length of hospitalization. In this work, we develop a solution for automatic pneumonia detection based on convolutional neural networks. Four network models are investigated. They are trained on 4.163 images from a public dataset and tested on 530 images. The best results are obtained by one of the proposed models conducting to a sensitivity of 98.72%, an accuracy of 89.81%, and ROC 93.46%. Thus, this research proposes a lightweight screening tool that can help triaging the patients with pneumonia. © 2023 IEEE.

关键词： Convolution

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Neural Network Regression Analysis of Magnetic Sensor Data for Spatial Magnet Positioning 11

Neural Network Regression Analysis of Magnetic Sensor Data f...

引用

11th International Conference on Electrical, Electronic and Computing engineering, IcETRAN 2024

作者： Sibinović, Vladimir Raković, Mirko University of Niš Faculty of Electronic Engineering Department of Automatic Control Niš Serbia Faculty of Technical Science Novi Sad Serbia

ISBN: (纸本)9798350386998

This paper deals with the magnet position estimation based on the measurements from multiple Hall sensors. Estimation of the position is obtained from trained artificial neural networks. Data are gathered using a custom sensor board that has eight three-axis Hall sensors on it, and correlation between magnetic field and position was determined to be able to estimate position in X and Y directions. First measurements were made to determine the optimal height of the magnet for later data gathering. The outcome of the research was evaluated by comparing the ground truth with the estimated values of the best-trained network to determine the error of estimation. Precise measurement of the position of the magnet is intended to be used for the development of a tactile sensor that estimates the contact force through the displacement of the magnet in the deformable layer. © 2024 IEEE.

关键词： Hall effect transducers

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EEG Multi-Objective Feature Selection using a Genetic Procedure with Hybrid Mutation Operator 24

EEG Multi-Objective Feature Selection using a Genetic Proced...

引用

24th International Conference on control Systems and computer Science, CSCS 2023

作者： Cimpanu, Corina Gheorge Asachi Technical University of Iai Faculty of Automatic Control and Computer Science Computer Science Department Iai Romania

ISBN: (纸本)9798350313390

computer science developments in medical data processing increase modeling accuracy, speed up data analysis, and obtain automated diagnostics. As a result, the role of machine learning algorithms becomes significant, as well as the need to implement faster and more accurate systems. For example, classification is a common component in computer-aided diagnostics, and choosing the proper set of predictors is critical for training a classifier model. Usually, medical datasets are highly dimensional, and their characteristical data correlations require reducing the set of features used for classification. Besides supervised grouping algorithms, genetic optimization procedures are well known for their robust verification of competing attributes by directly estimating their usefulness on a specific classifier. This paper discusses the assessment of Electroencephalogram data samples acquired during working memory load n-back scenarios using a new embedded feature selection procedure based on Multi-Objective Optimization via Genetic Algorithms enhanced with a hybrid mutation operator. Experimental results focus on both the hybrid mutation operator performances, and obtaining overall higher Support Vector Machine classification accuracy while reducing the number of selected features. © 2023 IEEE.

关键词： Genetic algorithms

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