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

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Dynamic Capabilities to Design Digital Transformation Strategies in Supply Chain 4.0 7th

Dynamic Capabilities to Design Digital Transformation Strate...

引用

7th International Conference on Logistics Operations Management (GOL)

作者： Filipas, Ioana Marmier, Francois Michalak, Jean-Louis Univ Strasbourg BETA UMR CNRS 7522 F-67000 Strasbourg France Univ Strasbourg ICUBE UMR CNRS 7357 F-67000 Strasbourg France

ISBN: (纸本)9783031686276;9783031686283

This study aims to provide new insights for enterprises willing to achieve digital transformation with the objective of obtaining a competitive advantage. An increasing number of companies are embarking on a digital transformation to save time and increase their business process's reliability. Sometimes the initiative for this type of approach comes from an intermediate level of decision-making, affecting a single process, department, or area of activity within a company. At both the corporate and supply chain levels, this article aims to adopt a global vision of digital transformation. The aim of this paper is to identify dynamic capabilities that influence digital transformation. Then we present an approach that helps the firm /supply chain decision makers to define strategies for digital transformation, based on knowledge and competencies.

关键词： dynamic capabilities competencies strategy

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Measuring the Quality of Intelligent systems

Measuring the Quality of Intelligent Systems

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Intelligent systems Conference

作者： Fehlmann, Thomas Kranich, Eberhard Euro Project Off CH-8032 Zurich Switzerland Euro Project Off D-47051 Duisburg Germany

A method for measuring the reliability of intelligent systems is proposed that combines different methods of knowledge acquisition. The measured quality should help users, e.g., when they should trust an autonomous ca... 详细信息

ISBN: (纸本)9783031664274;9783031664281

关键词： Intelligent systems Functional size Software metrics Quality metrics Reliability of AI

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Analyzing VR/AR Technology Capabilities for Enhancing the Effectiveness of Learning Processes with Focus on Gamification

Analyzing VR/AR Technology Capabilities for Enhancing the Ef...

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Intelligent systems Conference (IntelliSys)

作者： Vorrink, Nicklas Wicaksono, Hendro Valilai, Omid Fatahi Constructor Univ Sch Business Social & Decis Sci Campus Ring 1 D-28759 Bremen Germany

ISBN: (纸本)9783031477232;9783031477249

The Virtual Reality (VR) and Augmented Reality (AR) markets have come a long way since their birth in the 1960s but only now in the early 2020s a wide market adaptation is on the verge of being implemented. The possibilities of learning and next level communication platforms are endless and will most likely birth an entirely new way of living for humanity. The great opportunities that come with the ability to meet one another face to face while being hundreds of kilometers apart will help people keep up with relationships, enhance the remote work environment immensely and will revolutionize the gaming environment. This paper has focused on integrating gamifications and VR/AR technologies for enhancing the learning processes. The literature study illustrates the high potential of this integration. Also, the technological advancements like the headsets that are already rumored to be released soon have highly technical features like advanced facial tracking, neuron reading, and retina level display resolutions will make the experience of VR even more immersive and enjoyable for more and more people. The paper has proposed the future perspectives of this integration for more efficient learning frameworks through analyzing the vital requirements and enablers.

关键词： Virtual Reality (VR) Augmented Reality (AR) Gamification

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Intelligent Clinical Decision Support System for Monitoring and Preventing Adverse Effects of Drug-Drug Interaction 1

引用

International Conference on Intelligent and Fuzzy systems (INFUS)

作者： Hamdadou, Djamila Toumi, Houari Zemri, Farah Omari, Youcef Bengueddach, Asmaa Univ Oran1 Lab LIO Oran Algeria Univ Oran1 Lab Pharmacovigilance Oran Algeria

ISBN: (数字)9783031700187

ISBN: (纸本)9783031700170;9783031700187

Pharmacovigilance is a crucial practice that aims to record and evaluate the side effects of medications, particularly their frequency and severity. In the current study, we propose an intelligent decision support system that allows pharmacists and patients to detect and prevent unwanted drug interactions. This system uses advanced business intelligence techniques and machine learning approaches to predict the severity of new drug interactions. The intelligent models generated are based on real dataset provided by the pharmacology laboratory of the university hospital establishment of Oran in Algeria and reliable sources. The aim of the proposed system is to improve medication management and provide appropriate recommendations to patients, while providing pharmacists with a user -friendly interface to manage the drug interaction database.

关键词： decision support system Artificial Intelligence pharmacovigilance interaction

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Inspecting Software Architecture Design Styles to Infer Threat Models and Inform Likely Attacks

Inspecting Software Architecture Design Styles to Infer Thre...

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2024 International Conference on Computing, Communication, Cybersecurity and AI

作者： Czekster, Ricardo M. Aston Univ Sch Comp Sci & Digital Technol Birmingham B4 7ET W Midlands England

ISBN: (纸本)9783031744426;9783031744433

Software architects reason about systems according to the set of relevant quality attributes to observe aligning it to their operational objectives. They inspect properties such as usability, performance, maintainability, scalability, and security, to mention a few, to select over different design styles to maximise systems' capabilities altogether. The idea of this work is to describe ways of leveraging Threat Modelling (TM) approaches in early architectural designs by creating models from known and document available styles. Our proposal is to comment on those models and how they are related to the system overall architecture, offering means to model re-use functioning as the set of initial considerations that could be readily adapted for capturing more complex behaviours. We surveyed TM tools and approaches, and discussed relevant architectural styles and how they could generate threat models to inform most likely attacks. Finally, we discuss how to create basic models that security officers could use to enhance their cybersecurity analysis in software-intensive systems.

关键词： Threat Modelling Attack Modelling Techniques Software Architecture Styles

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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...

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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...

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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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Smoothed Piecewise Linear Lyapunov Function for the First Order Dynamical systems

Smoothed Piecewise Linear Lyapunov Function for the First Or...

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International Scientific and Technical Conference on Integrated Computer Technologies in Mechanical Engineering - Synergetic Engineering (ICTM)

作者： Voliansky, Roman Shramko, Iurii Volianska, Nina Tolochko, Olga Sadovoi, Oleksandr Natl Tech Univ Ukraine Igor Sikorsky Kyiv Polytech Inst 37 Str Polytech UA-03056 Kiev Ukraine Dniprovsk State Tech Univ 2 Dniprobudivska Str UA-51918 Kamyanske Ukraine

ISBN: (纸本)9783031614149;9783031614156

The paper deals with the mathematical backgrounds of design piecewise single-variable Lyapunov functions. These backgrounds are based on the study of the main features of generalized Lyapunov function and using them to analyze the solution of dynamical programming problem. This analysis shows that the optimal control signal, which is supplied to the control plant, depends on the partial derivative of the Lyapunov function. This fact allows us to consider the Lyapunov function as a control signal integral over the perturbed motion variable. If the control signal is produced by the sliding mode controller, our approach defines the Lyapunov function as a non-quadratic absolute value function. Since this function is not differentiable in the origin, it is hard enough to use it while the optimal controller is being designed with optimal theory methods. We avoid this problem by applying a smoothing procedure, which is based on considering a small neighborhood near the fracture point. In this neighborhood, we replace the piecewise linear function with a polynomial one. Factors of the polynomial are defined to have the same function values and its derivatives in the boundary points. In our paper, we show that our approach can be extended to the case of a controller which produces a multilevel signal. Signal of such form causes occurring the piecewise linear Lyapunov function, which can be smoothed by using polynomials. Since such a piecewise function can have a lot of branches, we offer to consider it as two functions, which are defined in their intervals.

关键词： Lyapunov function piecewise linear function sliding mode control polynomial smoothing

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Effect of Variation in Pause Times Over MANET Routing Protocols 1

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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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