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Achieve Your Goal Without Dying in the Attempt: Developing an Area-Based Support for Nomadic Work 10th

Achieve Your Goal Without Dying in the Attempt: Developing a...

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10h international conference on HCI in Business, Government and Organizations (HCIBGO) Part of the 24th international conference on Human-computer Interaction (HCI)

作者： Monroy-Rodriguez, Guillermo Mendoza, Sonia Sanchez-Adame, Luis Martin Valdespin-Garcia, Ivan Giovanni Decouchant, Dominique CINVESTAV IPN Comp Sci Dept Mexico City 07360 DF Mexico UAEM Valle Mexico Comp Engn Dept Ciudad Lopez Mateos 54500 State Of Mexico Mexico UAM Cuajimalpa Informat Technol Dept Mexico City 05348 DF Mexico

ISBN: (纸本)9783031359682;9783031359699

Organizations are constantly navigating a complex landscape of users, information, and security policies. Nomadic workers and visitors move throughout the organization, accessing resources and services to accomplish their goals. However, existing access control solutions often follow a general-purpose centralized approach, which can lead to limitations such as system bottlenecks and failures, and misunderstanding and confusion in people. In some cases, access control is performed in a manual way by the own workers. In this paper, we propose an innovative solution: an Area Management System (AMS) that addresses the unique needs of nomadic users. AMS takes into account the goals and requirements of nomadic users, the security policies of organizations, and the permissions and restrictions of specific areas. By distributing access control management, our solution can provide a more efficient and comprehensive approach to administrating resources, services, and information within an area.

关键词： Resource access control Area-based services Intelligent buildings Nomadic users

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Analysis of anomalies in fraud detection for Smart and Non-smart Grids

Analysis of anomalies in fraud detection for Smart and Non-s...

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international conference on control systems and computer science (cscs)

作者： Silviu Gresoi Ioana Făgărăşan Ştefan Mocanu Grigore Stamatescu Faculty of Automatic Control and Computers University Politehnica of Bucharest Bucharest Romania

the accessibility and reliability of electricity can significantly impact a region’s or nation’s financial market, with the cost of energy affecting customers’ financial situations as excessive bills can strain household budgets and limit available funds for other expenses. the rise in end-user rates can be attributed to various factors such as global market changes, governmental measures like carbon emission taxes or renewable energy subsidies, geopolitical concerns, and energy network losses. this analysis aims to identify areas with a high risk of energy fraud, including theft, which can manifest in various forms and prove difficult to detect using conventional inspection methods. the proposed methodology is based on real-life data gathered from field inspections conducted over both smart and non-smart grid networks and consumers. By mitigating the risks associated with energy fraud and theft, the stability of the energy sector can improve, potential financial losses can decrease, and economic growth can promote, while ensuring equitable access to reliable electricity reduces disparities and advances social justice.

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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

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.

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Radar and Fuzzy systems Technologies for Monitoring and Management of Vehicle Traffic and Pedestrian Flow

Radar and Fuzzy Systems Technologies for Monitoring and Mana...

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international conference on control systems and computer science (cscs)

作者： Eusebiu Pruteanu Costică Nitu Petru Puiu Department of Energy and Computer Science University Vasile Alecsandri of Bacau Calea Marasesti 157 Bacău Romania Department of Intelligent Robotics Polytechnic University Splaiul Independenței 313 Bucharest Romania

Smart traffic lights can be adaptive, with neural networks and associated with smart cameras and microwave sensors. Real-time determinations offer the possibility for specialists to intervene in real-time and collect traffic data for modeling, planning and other training studies of the expert system for traffic light management of large star intersections. When the usual approach is employed during peak hours, traffic congestion arises, hence it is suggested to enhance high-level management of intersections and fuzzy control of traffic signals. the membership functions ($\mu$R(u,v)) of both input and output fuzzy variables used to control the traffic lights in the intersection are defined, as well as the main fuzzy rules for the operation of each car and pedestrian traffic light in the intersection. In situations of heavy car and pedestrian traffic, a fuzzy logic-based operation model and routing algorithm for pedestrian traffic signals are suggested. Fuzzy set theory is used for modelling, allowing decisions to be made regarding the modification of the waiting time of the pedestrian phase. the advantages of the proposed method are obvious compared to the conventional regulation.

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the advantage of smart manufacturing systems using cloud and RAMI 4.0 24

The advantage of smart manufacturing systems using cloud and...

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24th international Carpathian control conference, ICCC 2023

作者： Ciortea, Elisabeta Mihaela University "1 Decembrie 1918"of Alba Iulia Faculty of Computer Science and Engineering Alba Iulia Romania

ISBN: (纸本)9798350310221

the article presents an empirical analysis of the benefits of cloud manufacturing, the need to consider the Reference Architecture Model Industry 4.0 (RAMI 4.0), and, last but not least, IoT applications. Using high-performance and complex platforms, it is possible to modernize automation, tracking, and control systems, with the condition of completing optimization systems to increase performance. the article attempts a theoretical approach to cloud systems that has implications in production systems. RAMI offers an analysis of the entire production system, a system that can be analyzed, interpreted and ensures optimal functioning through intervention. Cloud manufacturing provides an overview of the entire production system with all resources used, but also an overview of actions to optimize the production system. In order to be able to draw the most relevant conclusions in real-time, we simulated such a system using Petri nets. Petri nets are chosen because they are easier to interpret, provide real-time information, and are relatively easy to modify the system proposed for simulation, so that decisions can be made as quickly as possible without disrupting the production system. this article focuses more on the relationship between cloud manufacturing and RAMI 4.0. the advantages of this approach are computational speed and storage capacity without investing in additional configurations, user data synchronization, and data processing. the downside is that it wants to find a solution for data security, which leads to mistrust among users. the case study is applied to a module of the production system because the system is complex and can provide easy-to-interpret results for the decision-making unit. © 2023 IEEE.

关键词： Digital storage

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Satisfaction of older adults with health applications: vINCI case study

Satisfaction of older adults with health applications: vINCI...

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international conference on control systems and computer science (cscs)

作者： Lidia Bãjenaru Alexandru Balog Mihaela Tomescu Rozeta Drãghici University Politehnica Bucharest Bucharest Romania Communications Applications and Digital Systems Department National Institute for Research and Development in Informatics Bucharest Romania Doctoral School of Economic Informatics University of Economics Studies Bucharest Romania National Institute of Gerontology and Geriatrics “Ana Aslan” Bucharest Romania

New intelligent solutions for assisted autonomy based on emerging technologies that enable proactive and preventive approaches to maintain an active and healthy life for the older adults are a great challenge. Research has suggested that the success of innovative software applications relies on the user satisfaction and emphasized the importance of evaluating a variety of quality factors of those applications. With the increase in interest and the adoption of health-related applications, more studies are needed to examine older adults’ attitude regarding to usage, satisfaction and perceived benefits. the purpose of this research is to investigate the quality factors of health-related applications which lead to increased satisfaction of older adults. this research was conducted in a specific context of the European vINCI project on a sample of 60 older patients in Romania. Multiple linear regression revealed that the satisfaction of older patients was significantly and positive associated with usefulness, information quality, and system quality. the findings are used by the application developers to evaluate and improve health applications.

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Applications of Deep Learning algorithms for retinal diseases diagnosis based on Optical Coherence Tomography imaging

Applications of Deep Learning algorithms for retinal disease...

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international conference on control systems and computer science (cscs)

作者： Paraschiv Elena-Anca Communication Digital Applications and Systems Department National Institute for Research and Development in Informatics Bucharest Romania Doctoral School of Electronics Telecommunications and Information Technology University Politehnica of Bucharest Bucharest Romania

the accurate and early detection of retinal diseases is critical for effective treatment and prevention of vision loss. Optical coherence tomography (OCT) imaging has become an essential tool for non-invasive diagnosis of retinal diseases. In this paper, a deep learning approach for the automated diagnosis of retinal diseases using OCT images is presented. Specifically, five different deep learning models were evaluated, including DenseNet121, DenseNet169, DenseNet201, InceptionResNet, and a 12 Convolutional layers-based model, and compare their performance in terms of accuracy, AUC, f1-score, and loss. Our results demonstrate that the DenseNetl69 model achieved the highest accuracy (97%), AUC (0.997), f1-score (0.97) and a loss of 0.1 among the models evaluated. these results indicate the potential of deep learning models for the automated diagnosis of retinal diseases based on OCT images, and highlight the importance of continued research and development in this field to improve patient outcomes.

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Energy Efficient IoT Air Quality Monitoring System

Energy Efficient IoT Air Quality Monitoring System

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international conference on control systems and computer science (cscs)

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

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.

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Enhancing the detection of fraudulent activities in the distribution of energy through data mining algorithms

Enhancing the detection of fraudulent activities in the dist...

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international conference on control systems and computer science (cscs)

作者： Silviu Gresoi Ştefan Mocanu Ioana Fǎgǎrǎşan Grigore Stamatescu Faculty of Automatic Control and Computers University Politehnica of Bucharest Bucharest Romania

the cost and availability of electricity can greatly impact the financial status of both private consumers and enterprises. High energy costs can strain household budgets and limit the amount of money available for other expenses on one hand, and on the other, may be even worse for enterprises, since not all the expenses can be migrated towards the final product or service costs. this will have a huge negative impact over the companies’ capacity to extend and develop and, also, can generate side effects such as bankruptcy or massive layoffs. Along with the energy costs increases generated by various reasons, energy thefts significantly contribute to higher prices for the end user. the purpose of this study was to determine geographical areas that are at a high risk of energy fraud, specifically energy theft. the findings are based on real-life investigations and real data. the ways to interfere with and steal energy are varied and increasingly challenging to detect through conventional energy inspection techniques. Detection of fraud through techniques like data mining, EDA, and data fusion should occur as close in time to the fraudulent act as possible since the impact is spread among all customers.

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Order from Chaos: Leveraging the Order in Time as Intrinsic Reward

Order from Chaos: Leveraging the Order in Time as Intrinsic ...

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international conference on control systems and computer science (cscs)

作者： Andrei Cristian Nica Adina Magda Florea Faculty of Automatic Control and Computers University Politehnica Bucharest Bucharest Romania

Reinforcement learning (RL) agents often struggle with exploration problems where the environment is complex and the reward signal is sparse or delayed. In this paper, we propose a novel intrinsic reward mechanism that leverages the order of time to guide agents toward less chaotic policies. Our approach involves training a model to predict the correct order of a shuffled sequence of observations, which enables us to introduce the “orderability” score. this score captures the extent to which observations from a trajectory are uniquely ordered in time, and we hypothesize that it is a helpful metric for assessing the learning progress of reinforcement learning agents. By incorporating the orderability score as an intrinsic reward, we aim to encourage agents to explore their environment more effectively and achieve faster and more consistent reward maximization. In our experiments, we demonstrate that agents trained with the orderability intrinsic reward outperform baseline methods on challenging exploration tasks, highlighting the potential of our approach. By shedding light on the importance of time’s order in RL, we provide a fresh perspective on the challenge of exploration and pave the way for future research in this area.

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