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

作者： Negoita, Radu-Florin Borangiu, Theodor University Politehnica of Bucharest Doctoral School of Automatic Control and Computers Bucharest Romania University Politehnica of Bucharest Dept. of Automatic Control and Industrial Informatics Bucharest Romania

ISBN: (纸本)9798350313390

Coordinating service capacity with dynamic varying, market-driven customer demand in a service business imposes correlating and synchronizing front-office and back-office processes - the first addressing customer relationship management and the second inventory planning, forecasting demand, analytics, and strategic decision making. Front office management (FOM) contributes substantially in coordinating the services requested by guests, and needs to be integrated in an Operations Management Software system specific for hotel business. Research efforts are currently directed towards automating repetitive, time consuming operations included in front office processes that are in great number, initiated by random events and customer actions with variable timing. The paper presents a solution to automate FOM operations that are kept consistent with the business strategy of the organization, and assist front-office workflows involving customers (service requests, service quality assessment) and front line personnel (registration, check in, check out, taxation and invoicing). The solution is based on the Robotic Process Automation (RPA) technology extended with AI-based functionalities for the intelligent process automation and integration with back-office workflows. © 2023 IEEE.

关键词： Robotics

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Home Care Assistance Solution based on a Software Multi-Agents System 24

Home Care Assistance Solution based on a Software Multi-Agen...

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

作者： Rasras, Mohammad Marin, Iuliana Radu, Serban University Politehnica of Bucharest Doctoral School of Automatic Control and Computers Bucharest Romania University Politehnica of Bucharest Dept. of Engineering in Foreign Languages Bucharest Romania University Politehnica of Bucharest Dept. of Computer Science Bucharest Romania

ISBN: (纸本)9798350313390

A smart home allows automated technology to control systems and appliances to assist daily life activities. In the current work, a prototype of a designed smart home health-aware system is presented. Three predefined ruled agents have been used to gather data, communicate between themselves, interpret the data based on several machine learning algorithms to predict abnormality for cardiac conditions. The paper also compares results obtained by running five machine learning algorithms. The agents function in accordance with predefined dataset describing residents ' age, gender, height, weight, systolic and diastolic blood pressure, cholesterol, and glucose levels, smoking and alcohol consumption habits, and lastly, physical activity. Our plan is to simplify ubiquitous health monitoring for smart home's residents. The proposed solution aims to monitor parametric measurements to alert health specialists in case of emergencies. © 2023 IEEE.

关键词： Multi agent systems

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Front-Office Management of Service Operations with Robotic Process Automation

Front-Office Management of Service Operations with Robotic P...

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International Conference on control Systems and Computer Science (CSCS)

作者： Radu-Florin Negoiţă Theodor Borangiu Doctoral School of Automatic Control and Computers University Politehnica of Bucharest Bucharest Romania Dept. of Automatic Control and Industrial Informatics University Politehnica of Bucharest Bucharest Romania

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SERVICE QUALITY EVALUATION USING ROBOTIC PROCESS AUTOMATION TOOLS

UPB Scientific Bulletin, Series C: Electrical Engineering an...

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UPB Scientific Bulletin, Series C: Electrical Engineering and Computer Science 2023年第3期85卷 93-108页

作者： Negoiţă, Radu Florin Borangiu, Theodor Doctoral School of Automatic Control and Computers University POLITEHNICA of Bucharest Romania Dept. of Automation and Industrial Informatics University POLITEHNICA of Bucharest Romania

Service quality is a vital component of the overall customer experience and should therefore be measured to know how the business’ service measures up to the customer’s expectations. The paper describes a Robotic Process Automation software tool for service quality control created for information-based service systems. The RPA bots are extended with artificial intelligence techniques used in the end-to-end automation of future service organizations. The software bots automate repetitive, time consuming human tasks (customer feedback evaluation, content analysis, data extraction) and speed up complex computations: OCR, data-driven analysis, support to intelligent decisions. Experiments performed with the Blue Prism tool are reported. © 2023, Politechnica University of Bucharest. All rights reserved.

关键词： Robotics

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Mobile Application for Visualizing the Measurements 5

Mobile Application for Visualizing the Measurements

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5th IEEE International Conference on Modern Electrical and Energy System, MEES 2023

作者： Kiresova, Simona Guzan, Milan Sobota, Branislav Melnykov, Viacheslav Yatsiuk, Rostyslav Peryvertailo, Bohdan Technical University of Košice Dept. of Theoretical and Industrial Electrical Engineering Košice Slovakia Technical University of Košice Dept. of Computers and Informatics Košice Slovakia Kremenchuk Mykhailo Ostrohradskyi National University Dept. of Systems of Automatic Control and Electric Drive Kremenchuk Ukraine National University Dept. of Computer Engineering and Electronics Kremenchuk Mykhailo Ostrohradskyi Kremenchuk Ukraine

ISBN: (纸本)9798350359787

This paper deals with the design of an Android mobile application and visualization of the measured values of particulate matter and meteorological factors from the measurement stations. The application can in principle be effectively used in any field of data visualization. The architecture of the mobile application, the security, the use of AWS services to access the data in the InfluxDB databases, as well as the user interface and graphical visualizations of the measured data are described and illustrated. The application is user tested and the paper documents their first experiences using the mobile application. © 2023 IEEE.

关键词： Visualization

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Location privacy for non-stationary users

UPB Scientific Bulletin, Series C: Electrical Engineering an...

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UPB Scientific Bulletin, Series C: Electrical Engineering and Computer Science 2021年第4期83卷 3-16页

作者： Florea, Iulia-Maria Vornicu, Dan Ciocîrlan, Ștefan-Dan Rughiniș, Răzvan Dept. of Computers and Automatic Control University POLITEHNICA of Bucharest Romania

In the last years, privacy has been a debated topic since the approval of the European GDPR. People have become more aware of the information gathered by the applications they are using often. Many of them require specific accuracy that may not necessarily need. For instance, weather-based services do not need the exact user location, since the weather is almost the same in a city. This paper focuses on location obfuscation techniques for a user moving in a city. Our solution provides a fake path, based on the real locations and we test it against state-of-the-art attacks to prove its resistance. © 2021, Politechnica University of Bucharest. All rights reserved.

关键词： Location

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NEW TOOL FOR SYSTEM IDENTIFICATION AND PREDICTIVE control BASED ON NEURAL NETWORKS USING LABVIEW SOFTWARE

UPB Scientific Bulletin, Series C: Electrical Engineering an...

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UPB Scientific Bulletin, Series C: Electrical Engineering and Computer Science 2022年第2期84卷 91-110页

作者： Alshareefi, Hamid Lupu, Ciprian Alboudkhal, Hayder Ismail, Laith Dept. of Automatic Control and Computers University POLITEHNICA of Bucharest Romania Ministry of Electricity Iraq Dept. of Computer Technology Engineering AL-TURATH University College Baghdad Iraq

In this paper, a new tool for system identification and model predictive control (MPC) has been developed. The mathematical approximation of the model identification was derived using the neural network theory. The emphasis of this paper is to employ a multi-layer recurrent neural network with three layers to match an autoregressive-moving average (ARMA) model in the identification stage to provide the mathematical model for the model predictive controller in the control stage. The tool was designed using LabVIEW software and the MathScript facility. The tool can be used to identify and control simulated or real systems using the stored input/output data of the system. © 2022, Politechnica University of Bucharest. All rights reserved.

关键词： Recurrent neural networks

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Home Care Assistance Solution based on a Software Multi-Agents System

Home Care Assistance Solution based on a Software Multi-Agen...

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International Conference on control Systems and Computer Science (CSCS)

作者： Mohammad Rasras Iuliana Marin Şerban Radu Doctoral School of Automatic Control and Computers University POLITEHNICA of Bucharest Bucharest ROMANIA Dept. of Engineering in Foreign Languages University POLITEHNICA of Bucharest Bucharest ROMANIA Dept. of Computer Science University POLITEHNICA of Bucharest Bucharest ROMANIA

A smart home allows automated technology to control systems and appliances to assist daily life activities. In the current work, a prototype of a designed smart home health-aware system is presented. Three predefined ruled agents have been used to gather data, communicate between themselves, interpret the data based on several machine learning algorithms to predict abnormality for cardiac conditions. The paper also compares results obtained by running five machine learning algorithms. The agents function in accordance with predefined dataset describing residents ’ age, gender, height, weight, systolic and diastolic blood pressure, cholesterol, and glucose levels, smoking and alcohol consumption habits, and lastly, physical activity. Our plan is to simplify ubiquitous health monitoring for smart home’s residents. The proposed solution aims to monitor parametric measurements to alert health specialists in case of emergencies.

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Mobile Application for Visualizing the Measurements

Mobile Application for Visualizing the Measurements

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International Conference on Modern Electrical and Energy Systems (MEES)

作者： Simona Kirešová Milan Guzan Branislav Sobota Viacheslav Melnykov Rostyslav Yatsiuk Bohdan Peryvertailo Dept. of Theoretical and Industrial Electrical Engineering Technical University of Košice Košice Slovakia Dept. of Computers and Informatics Technical University of Košice Košice Slovakia Dept. of Systems of Automatic Control and Electric Drive Kremenchuk Mykhailo Ostrohradskyi National University Kremenchuk Ukraine Dept. of Computer Engineering and Electronics Kremenchuk Mykhailo Ostrohradskyi National University Kremenchuk Ukraine

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Towards an improvement of the forecast of wind resources in europe: application of unsupervised machine learning on future projections of polar vortex

Towards an improvement of the forecast of wind resources in ...

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2020 Summer Computer Simulation Conference, SCSC 2020, Held at the 2020 Summer Simulation Multi-Conference, SummerSim 2020

作者： Montes, María Rodríguez Ayarzagüena, Blanca Mata-García, María Guijarro Complutense University of Madrid Spain Dept. Earth Physics and Astrophysics Complutense University of Madrid Spain Dept. Computer Architecture and Automatic Control Complutense University of Madrid Spain

ISBN: (纸本)9781713819462

Studying the impact of climate change on wintertime polar stratosphere is of particular relevance not only for climate knowledge but also for tropospheric projections. Machine learning provides a way to extract information from different climate models and combine the data in a such way that patterns are clearer, so predictions can be inducted. The methods used in this study have been region growing algorithm, K-means and combination of predictions. The final results show three clusters of response trends for the intensity and location of the stratospheric polar night jet. The prediction shows an increase in zonal wind intensity over the 2xCO2 and 4xCO2 concentration points and a decrease in the related latitude. Our methods can be extended for more climate models and simulation periods, and will allow not only to map the behavior of the polar night jet, but other stratospheric and tropospheric features and interactions between them. ©2020 Society for Modeling & Simulation International (SCS)

关键词： Climate models

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