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检索条件"丛书名=Lecture Notes in Networks and Systems"

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Scheduling Strategy Development for Solving Periodic Fuzzy Network Scheduling Problem with Limited Resources

Scheduling Strategy Development for Solving Periodic Fuzzy N...

引用

International Conference on Intelligent and Fuzzy systems (INFUS)

作者： Knyazeva, Margarita Bozhenyuk, Alexander Belyakov, Stanislav Southern Fed Univ Nekrasovskiy St 44 Taganrog 347928 Russia

ISBN: (纸本)9783031671944;9783031671951

The paper introduces a strategy for solving a periodic fuzzy problem of temporal network scheduling with limited resources. It is proposed to use a computation graph and decision tree approach to analyze the stages of the planning system at each moment in time. In some cases of dynamic networks, the topology or some network parameters may change from round to round of calculations, and the results of the previous stage of calculations can become input for the next stage of calculations. The method proposed in this paper allows reflecting precedence relations on a graph, formalizes fuzzy temporal input parameters of the network using fuzzy numbers (left and right distribution). Fuzzy temporal justification in planning problems involves the introduction of relationships between elements or operations, their topological ordering in time under limitations of the system. It is also proposed to use the concept of temporal triangular fuzzy number on a real-time scale as a partial order (schedule or alternative) corresponding to their relation of the priority of operations from left to right.

关键词： fuzzy graph scheduling limited resources fuzzy numbers ordering

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Health-Literacy and Social Awareness-Contributions from Digital Wellness 9th

Health-Literacy and Social Awareness-Contributions from Digi...

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9th International Congress on Information and Communication Technology (ICICT)

作者： Pestana, Gabriel Ferreira, Nuno Jose, Helena INOV Inst Syst & Comp Engn Innovat Lisbon Portugal AgileFactor Lisbon Portugal Escola Super Saude Atlantica Lisbon Portugal

ISBN: (纸本)9789819733019;9789819733026

In the past decade, health care has undergone significant transformations driven by technology and the growing emphasis on individual responsibility for health. Health literacy and Health 5.0 are essential pillars in the digital wellness paradigm, promoting informed decisions and responsible citizenship. People with the knowledge and skills to understand health information can enhance their wellbeing and adopt self-care behaviors. Additionally, data governance practices in the digital wellness paradigm facilitate informed decision-making by ensuring ethical and effective data management throughout its lifecycle. The paper explores the interplay between Health 5.0, active population aging, preventive health measures, and health literacy as instruments to improve the quality of life, in particular for senior adults. The BE4YOU project (https://***) is presented as a case study designed to align with the Health 5.0 framework. Conducted in Portugal, the project's goal is to support individuals across their lifespans in maintaining health and well-being. This is accomplished through data collection, which is then processed using analytical algorithms and AI to determine health risk indicators. The project aims to raise social awareness about individual health and well-being by engaging health-care professionals from diverse fields.

关键词： Data governance Responsible citizenship Health 5.0 Health risk indicators BPMN

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Home Appliance Demand Forecasting: A Comparative Approach Using Traditional and Machine Learning Algorithms

Home Appliance Demand Forecasting: A Comparative Approach Us...

引用

Intelligent systems Conference (IntelliSys)

作者： Culcay, Lissette Bustillos, Fernanda Vallejo-Huanga, Diego Univ Politecn Salesiana Prod & Ind Operat Quito Ecuador Univ Politecn Salesiana IDEIAGEOCA Res Grp Quito Ecuador

ISBN: (纸本)9783031477140;9783031477157

The manufacturing industry is considered one of Ecuador's most important productive sectors because it is an excellent employment and national income source. Durable consumer goods such as white and brown goods have shown an increase with a positive trend on their GDP, so there is an expectation of growth in the market in the following years. The profitability of this industry depends on various internal factors, such as supply chain management, and external factors, such as market dynamics, which subsequently allow for generating demand forecasts. This scientific article uses sales data from an Ecuadorian white goods manufacturer company to forecast demand in two production lines. The KDD methodology was used for data processing and model construction. Three classic forecasting methods were used in the experimentation: Simple Moving Average, Simple Exponential Smoothing, and ARIMA, and three forecasting methods that use artificial intelligence algorithms: Random Forest, K-Nearest Neighbors, and Artificial Neural networks. The performance of the forecast models was evaluated using four error metrics: MSE, MAE, RMSE, and MASE. The first experiment considered all the observations in the dataset, while for the second experiment, the dataset was partitioned into training and test sections for cross-validation. Based on the results of error metrics, ARIMA is the best-performing model for the classic algorithms and Random Forest for the Machine Learning models. Machine Learning models generally show a superior performance of up to 30% compared to classical forecasting methods to generate demand forecasts for household appliances.

关键词： Time series Consumer durables Ecuadorian manufacturing industry Data modeling

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Effect of Variation in Pause Times Over MANET Routing Protocols 1

引用

International Conference on Artificial Intelligence: Theory and Applications (AITA)

作者： Kour, Satveer Singh, Manjit Singh, Butta Sarangal, Himali Guru Nanak Dev Univ Amritsar Punjab India Guru Nanak Dev Univ Reg Campus Jalandhar Punjab India

ISBN: (数字)9789819984763

ISBN: (纸本)9789819984756;9789819984763

The Mobile Ad-hoc networks (MANETs) are self-organizing and self-configuring networks that are formed dynamically without any existing infrastructure. These networks provide a wide range of advantages over traditional infrastructure-based networks since their nature supports deployment in remote and/or hazardous areas. Due to the inherent dynamic topology, routing protocols become very important for maintaining link and data reliability in MANET environments. The pause time in a MANET can refer to the period of time between when one node in the network sends information and when another node receives it. This pause time is typically affected by the distance between the two nodes, the number of hops the data packet must travel, and any obstructions (e.g., walls) that would interfere with the signal. MANETs are designed to be self-configuring and self-healing, so these pause times can vary as the network adapts to changing conditions. The performance is analyzed over four QoS performance metrics: throughput, goodput, packet received, and received rate. The results show the performance of MANET routing protocols over different pause time, i.e., 0, 1, 2, 3, 4, 5 s. The results showed 27% more throughput value with DSR, 27.6% more goodput with DSR, 66.2% more received rate with DSR, and 74% more packet received with DSR.

关键词： MANET Routing protocols Pause time Performance metrics

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Modelling the Drift of Social Media Posts 1

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11st World Conference on Information systems and Technologies (WorldCIST)

作者： Czyz, Henryka Schumann, Andrew Gawel, Arkadiusz Univ Informat Technol & Management Rzeszow Dept Cognit Sci & Math Modelling Sucharskieho 2 PL-35225 Rzeszow Poland Univ Informat Technol & Management Rzeszow Rzeszow Poland

ISBN: (数字)9783031456510

ISBN: (纸本)9783031456503;9783031456510

We have developed a theory that allows us to accurately characterize information waves in social networks such as Twitter. This theory is an extrapolation of a mathematical theory that studies particle drifts in the acoustic field. We have noticed that each post on Twitter can be considered as a particle, and its radius is the number of followers of the author of the post. Then the number of likes and retweets of this entry can be considered as a drift of this particle. We have found that our hypothesis is correct, and in this interpretation, Twitter posts behave like particles in the acoustic field. In particular, if the author of the entry has no more than 15,000 followers, then this behavior is characterized as a radiative drift in the acoustic field, and if more than 15,000, then as a viscous drift. Based on this behavior of particles (posts on Twitter), we can mathematically reconstruct an appropriate information wave.

关键词： Twitter radiation drift viscous drift particles information wave

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The Development an IoT-Based Virtual Model of Power Grid System with Renewable Energy Sources for a Laboratory Practicum of Control systems 21st

The Development an IoT-Based Virtual Model of Power Grid Sys...

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21st International Conference on Smart Technologies and Education (STE) on Smart Technologies for a Sustainable Future

作者： Stupak, Maryna Telychko, Hanna Stupak, Hlib Potsepaiev, Valerii Donetsk Natl Tech Univ 2 Shybankova Sq UA-85300 Donetsk Ukraine

ISBN: (纸本)9783031618901;9783031618918

Today, Ukraine faces challenges that significantly impact the educational process in higher education institutions. Initially, the COVID-19 pandemic and later the war have hindered students' ability to develop hard skills effectively. Approximately 50% of students in technical universities in Ukraine lack access to laboratories for practical training. To compensate for educational losses and enhance the quality of practical training, it is essential to focus efforts on virtualizing laboratories and ensuring remote continuous access to them. Modern technologies and cloud services enable the creation of digital twins of technological processes that can replace physical equipment, conduct simulation modeling of various systems, create interactive systems, and allow students to research and test solutions they have developed in a safe environment. This realization method ensures uninterrupted access to educational content for learners, regardless of their actual location and at a convenient time in secure conditions. The result of this work is a prototype IoT system created using databases, Node-RED, and protocols such as MQTT, HTTP/HTTPS, among others. The developed IoT system familiarizes education seekers with examples of building geographically distributed computer-integrated networks for automation and monitoring of control object statuses using Industry 4.0 and IoT. The virtual model of the IoT system represents a power grid consisting of consumers, power plants, and renewable energy sources. All model components interact in a unified information space, allowing students to gain practical experience in virtual environments with networking technologies, programming, data analysis, and control algorithm development. This work was supported by the European Commission [grant number ENI/2019/413-664 "EDUTIP"] and Edunet World Association (EWA).

关键词： Industry 4.0 Virtual Laboratory Green Transition Cloud Technologies IoT/IIoT

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The Implementation of Quantum Annealing for Ensemble Pruning 1

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9th International Congress on Information and Communication Technology (ICICT)

作者： Yulianti, Lenny Putri Trisetyarso, Agung Santoso, Judhi Surendro, Kridanto Inst Teknol Bandung Sch Elect Engn & Informat Bandung 40132 Indonesia Bina Nusantara Univ Sch Comp Sci Dept Math Jakarta 11480 Indonesia

ISBN: (数字)9789819733057

ISBN: (纸本)9789819733040;9789819733057

Ensemble pruning stands as a pivotal strategy in simplifying ensemble complexity while maintaining its accuracy. Although optimization-based methods have historically dominated this field due to their comprehensive solutions, issues with local optima and time-intensive processes persist. Consequently, this study proposes quantum annealing as a quantum-based solution to address these limitations. The approach involves four key stages: formulating pruning problems, embedding formulations into the D-Wave solver, annealing, and reading out the optimal solution. The pruning process aims to maximize ensemble accuracy while ensuring the inclusion of at least one trained learner. The evaluation was conducted across five datasets, focusing on ensemble size and accuracy metrics. A comparative analysis was performed against bagging, AdaBoost, hybrid QA, hybrid QA pruned using particle swarm optimization, and proposed method. The results demonstrate that while the proposed method may not significantly reduce ensemble size compared to particle swarm optimization, it exhibits exceptional performance in all datasets, highlighting its potential to enhance accuracy.

关键词： Quantum annealing Pruning Ensemble Accuracy

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Exploring Transparency in Decisions of Artificial Neural networks for Regression 12th

Exploring Transparency in Decisions of Artificial Neural Net...

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12th World Conference on Information systems and Technologies (WorldCIST)

作者： Ribeiro, Jose Santos, Ricardo Analide, Cesar Silva, Fabio Politecn Porto CIICESI ESTG Felgueiras Portugal Univ Minho ALGORITMI Res Ctr LASI Braga Portugal

ISBN: (纸本)9783031602207;9783031602214

The interpretation and explanation of machine learning models are important tasks to ensure transparency and credibility. Various methods have been developed to achieve this goal, including Shap, Lime, and Explanatory Dashboards. The application of these explainability methods aims not only at interpreting the machine learning model but also at incorporating transparency into the implementation of a system that uses artificial intelligence algorithms. By leveraging part of a an initial manufactoring project, we implemented techniques to enhance the understanding of the model's time prediction through explainability methods. This improves trust among the involved entities and contributes to the overall effectiveness of the system in various application contexts. Our objective is to apply those strategies to other projects with in industry 4.0 and manufactoring to increase the adoption of new and innovative understandable intelligent systems.

关键词： Machine Learning Shap Lime Explainer Dashboard

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An Internet of Medical Things for Covid-19 Health Indicators Monitoring 9th

An Internet of Medical Things for Covid-19 Health Indicators...

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9th International Congress on Information and Communication Technology (ICICT)

作者： Khoa Tran Thi-Minh Dung Nguyen Quang Han Nguyen Ngoc Phuc Dang Thi Ind Univ Ho Chi Minh City Ho Chi Minh City Vietnam

ISBN: (纸本)9789819735587;9789819735594

Although the Covid-19 pandemic has passed, it does not mean that it has disappeared forever. It still exists and is still happening somewhere. It is necessary to have a system that can monitor the health indicators of Covid-19 patients during the period of social distance, as well as patients who cannot visit the hospital regularly. In this paper, we propose to develop an Internet of Medical Things (IoMT) system that can real-time monitor the health indicators of patients such as heartbeat, body temperature, and oxygen in the blood. Patient information is stored regularly in a cloud database. The system includes a website that doctors can access to check the information of their patients and then make an online recommendation if necessary. Additionally, the system schedules to monitor and immediately warn the patient if any indicator is exceeding the threshold.

关键词： Internet of Medical Things technology Cloud platform Communication protocols Smart healthcare web application Database management system IoT wearable device

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Creating Feature Model for YAML Generator in CI/CD Pipelines with React Web Application 9th

Creating Feature Model for YAML Generator in CI/CD Pipelines...

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9th International Congress on Information and Communication Technology (ICICT)

作者： Cak, Filip Dakic, Pavle Slovak Univ Technol Bratislava Fac Informat & Informat Technol Inst Informat Informat Syst & Software Engn Bratislava Slovakia Singidunum Univ Fac Informat & Comp Belgrade Serbia

ISBN: (纸本)9789819733040;9789819733057

Continuous integration and continuous deployment (CI/CD) pipelines must be used effectively to deliver reliable software in the business environment. Configuring pipelines for React web applications can be a time-consuming and complex operation. The pipeline technique alleviates the problems encountered during the development and delivery of the final software product while also improving the delivery time. It also standardizes the techniques utilized in CI/CD. Pipelines are used for automated application deployment, including testing, building, and deploying. This study attempts to recognize the gaps since there is no widely available solution to create YAML files with a structure that is often utilized in CI/CD workflows. This research paper proposes a tool that uses Python as the back-end for YAML file generation, with JavaScript and the React framework on the front end to offer a good user experience. Using the concept of a feature model, the tool proposal attempts to simplify and standardize the process of configuring CI/CD pipelines in React projects. Essential considerations within the feature model include defining the features and addressing their dependencies within the model.

关键词： Feature model YAML code Pipelines scripts CI/CD React Testing

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