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

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Securing Industrial Operational Technology networks: A Cybersecurity Management Approach and Testbed Evaluation 20th

Securing Industrial Operational Technology Networks: A Cyber...

引用

20th International Workshop on Combinatorial Image Analysis (IWCIA)

作者： Mozaryn, Jakub Juszczynski, Sebastian Al-Jarrah, Omar Y. Warsaw Univ Technol Inst Automat Control & Robot Dept Mechatron Warsaw Poland Jordan Univ Sci & Technol Dept Network Engn & Secur Irbid Jordan

ISBN: (纸本)9783031665936;9783031665943

This paper comprehensively analyses cybersecurity management within operational technology networks in industrial facilities. A testbed based on the Purdue Enterprise Reference Architecture is proposed to assess the effectiveness of security measures. The model employs network segmentation, passive traffic monitoring, and security information and event management systems to detect and respond to cyber threats. Through simulations, the paper demonstrates the effectiveness of the proposed solutions in preventing unauthorized Internet access and securing the OT network. The research provides valuable insights for securing critical infrastructure in the context of Industry 4.0, and suggests directions for future improvements and broader applications in real-world industrial environments.

关键词： Cybersecurity Operational Technologies Purdue Architecture Industry 4.0

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Precision Vehicle Pose Estimation with Uncertainty-aware Neural Network 27th

Precision Vehicle Pose Estimation with Uncertainty-aware Neu...

引用

27th International Conference on Climbing and Walking Robots and Mobile Machine Support Technologies (CLAWAR)

作者： Nowak, Tomasz Skrzypczynski, Piotr Poznan Univ Tech Inst Robot & Machine Intelligence Poznan Poland

ISBN: (纸本)9783031707216;9783031707223

This study presents a neural network designed for precise vehicle pose estimation from single images in complex settings. Utilising neural network backbones known for accurate human pose keypoint detection, our architecture effectively localises vehicle characteristic points. Task-specific modules estimate point coordinates and quality for pose computation. Training on ApolloCar3D with auto-generated 3D labels, our approach achieves the high pose estimation accuracy. We highlight the crucial role of accurate keypoint detection in addressing single-view geometry ambiguities, enhancing pose estimation precision.

关键词： Monocular pose estimation Neural network architecture Uncertainty-aware pipeline

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Weather Conditions Using Bayesian networks: A Scene-Based Approach with CARLA Simulator 9th

Weather Conditions Using Bayesian Networks: A Scene-Based Ap...

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

作者： Al-Hindawi, Roza Alhadidi, Taqwa Al Ahliyya Amman Univ Dept Civil Engn Amman 19111 Jordan

ISBN: (纸本)9789819735617;9789819735624

Ensuring safe travels for autonomous vehicles in urban areas are challenging due to the presence of dynamic components and mixed traffic involving both traditional and autonomous vehicles. This study employs a causal probability framework and Bayesian Network (BN) analysis to explore the intricate interactions among various variables contributing to traffic crashes. To achieve this, we utilized real data to assess the impact of time of day and winter conditions on traffic accidents, speed, and the frequency of accidents at specific intersections. Using scene-based methodology, the study categorizes severe weather situations at urban intersections into those with signals and those without. To model variable interactions and support probabilistic reasoning and inference, BNs are employed to depict the interrelationships between variables through conditional probabilities. Finally, the BN model is integrated with the agent-based car learning to act (CARLA) simulator. This integration enhances the modeling of multiple variables and factors, enabling an in-depth analysis of traffic dynamics in various meteorological scenarios. The proposed method facilitates the identification of the composition and interrelationships of elements contributing to traffic accidents. This provides policymakers and traffic engineers with valuable insights for formulating policies and improving road networks to reduce the likelihood of accidents in mixed traffic environments.

关键词： Bayesian Network Autonomous vehicles Car learning to act Safety

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Using Mealpy Open-Source Library for Optimization of Constrained Engineering Problems 10th

Using Mealpy Open-Source Library for Optimization of Constra...

引用

International Conference on New Technologies, Development and Application - Advanced Production Processes and Intelligent systems

作者： Durdev, Mica Dordevic, Luka Novakovic, Borivoj Seljmesi, Dalibor Univ Novi Sad Tech Fac Mihajlo Pupin Zrenjanin Zrenjanin 23000 Serbia

ISBN: (纸本)9783031662676;9783031662683

Metaheuristic algorithms are widely used in the scientific community, with numerous algorithms inspired by various sources. Python programming language has become a valuable tool for implementing these algorithms in scientific research. This study uses the MEALPY Python open-source library to solve two constrained optimization problems from existing literature. The concept of the library is explained, and results for problems related to welded beam design and speed reducer designare obtained. Eight swarm-based algorithms from the library are selected for the comparative analysis. The results are compared and graphically presented in several figures. Discussion regarding the best fitness values, convergence, exploration and exploitation percentages, runtime, and trajectory of agents is made before concluding the study.

关键词： MEALPY metaheuristic algorithm constrained optimization

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A Survey on Feature Selection, Classification, and Optimization Techniques for EEG-Based Brain-Computer Interface 1

引用

4th Congress on Intelligent systems (CIS)

作者： Subramanian, Sanoj Chakkithara Daniel, D. CHRIST Sch Engn & Technol Dept Comp Sci & Engn Bengaluru Karnataka India

ISBN: (数字)9789819990436

ISBN: (纸本)9789819990429;9789819990436

In brain-computer interface (BCI) systems, the electroencephalography (EEG) signal is extensively utilized, as the recording of EEG brain signals is having relatively low cost, the potentiality for user mobility, high time resolution, and non-invasive nature. The EEG features are extracted by the BCI to execute commands. In the feature set obtained, the computational complexity increases, and poor classifier generalization can be caused by the utilization of a lot of overlapping features. The irrelevant features' accumulation could be avoided with the feature selection procedure's application. The feature selection algorithms are utilized to select diverse features for each classifier. Classifiers are the algorithms that are run to attain the classification. The researchers have examined diverse classifier implementation techniques to identify the feature vector's class. A review of EEG-BCI techniques available in the literature for feature selection, classifiers, and optimization algorithms is presented in this work. The research challenges, gaps, and limitations are identified in this paper.

关键词： Brain-computer interface (BCI) Electroencephalography (EEG) Feature selection Classification Optimization techniques Classifiers Feature extraction Algorithms

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Proposal of a Machine Learning Model for the Early Detection of Depression in University Students 13th

Proposal of a Machine Learning Model for the Early Detection...

引用

13th Computer Science Online Conference

作者： Aguilar, Samir Huaman, Antony Ticona, Wilfredo Univ Tecnol Peru Lima Peru

ISBN: (纸本)9783031705175;9783031705182

Mental health problems such as depression in university students has increased with the passing of time, it is a topic little investigated by governmental institutions, but of great importance for the development of a country. The importance of early detection of mental illness would help to optimize the treatment process. Therefore, the overall objective of this research work is to detect depression early in college students by using a machine learning model, applying newer technologies and methodologies to develop a more robust and consistent model. The methodology used in this research consists of 5 phases: Dataset Extraction, Preprocessing, Feature Extraction, Model Implementation and Evaluation. Each phase was divided into activities and tasks to understand the problem-solving processes. In the results, the logistic regression (LR) technique obtained a superior performance with the metrics: precision of 0.79, sensitivity of 0.85, accuracy of 0.81 and f1 score of 0.81. In conclusion, machine learning techniques can detect depression in college students.

关键词： Machine learning Depression University students Mental health Methodology SVM

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Evaluating E-Government Maturity and IT Infrastructure in CIS Countries: Insights from the EDGI Ranking Analysis 13th

Evaluating E-Government Maturity and IT Infrastructure in CI...

引用

13th Computer Science Online Conference

作者： Nikita, Baranov ITMO Univ St Petersburg Russia

ISBN: (纸本)9783031702846;9783031702853

The study compares the development of e-government in the CIS countries. Discusses the similarities and differences of e-government in developed and developing countries. The goals and objectives of e-government are describe. The trends in the development of e-government in general and in the CIS countries in particular are described. After that we show how EDGI ranking works. Maturity models for e-government assessment has been illustrated and discussed. New e-government maturity model was presented. In results we compare CIS countries e-governments with EDGI ranking and with developed model. Describes the status of various indicators in the development of e-government in the CIS. The strengths and weaknesses of the CIS countries in the development of e-government are discussed. Also, we provided an overview how the EDGI rating of CIS countries has changed between 2014 and 2022. Next, we assessed each CIS country according to the developed e-government maturity assessment model. Individual elements were assessed, in general, all CIS countries reached level 4 of e-government maturity according to given model, moreover leaders have elements of level 5.

关键词： e-government EDGI process maturity CIS digitalization

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ePortfolios Based on Self-Regulated Learning Components in Flexible Learning for Engineers as a Vehicle for Academic and Career Development 1

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

作者： Paraskeva, Foteini Neofotistou, Eleni Alafouzou, Angeliki Univ Piraeus Dept Digital Syst Karaoli Dimitriou St 80 Piraeus 18534 Greece

ISBN: (数字)9783031456459

ISBN: (纸本)9783031456442;9783031456459

Electronic Portfolios (ePortfolios) have become a popular pedagogical approach on the tertiary educational landscape worldwide. The ePortfolio development is based on the fact that the reflective practice of its creation allows students to document and track their learning, develop a coherent picture of their learning experience, and improve their self-understanding. This paper outlines the process of integrating an ePortfolio as a tool of professional development for students in tertiary education. As it is assumed that ePortfolios contribute to Self-Regulated Learning (SRL), the construction of the ePortfolio can be based on the Self-Regulated Learning strategies as well, as a parallel process that can lead learners to construct their artifacts and reflect on their prior knowledge. The evaluation of the research is based on qualitative and quantitative analysis. The results prove the correlation between the enhancement of students' self-regulation and the construction of an academic e-portfolio for the promotion of academic and career development.

关键词： ePortfolio self-regulated learning Web 2.0 academic development career development

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Security Risk Analysis in Computer networks for Small and Medium-Sized Enterprises 13th

Security Risk Analysis in Computer Networks for Small and Me...

引用

13th Computer Science Online Conference

作者： Horak, Tibor Strelec, Peter Kovac, Szabolcs Sido, Jan Skypala, Richard Ruzarovsky, Roman Slovak Univ Technol Bratislava Fac Mat Sci & Technol Trnava Inst Appl Informat Automat & Mechatron Trnava Slovakia Slovak Univ Technol Bratislava Fac Mat Sci & Technol Trnava Inst Mfg Technol Trnava Slovakia

ISBN: (纸本)9783031702990;9783031703003

Small- and medium-sized organizations, such as public administrations and other institutions, are facing increasing demands for efficient information processing and storage, as well as for securing sensitive data. Threats such as cyber-attacks, phishing, ransomware, and other forms of data tampering pose a real risk to organizations and can lead to loss of confidentiality and reputation, financial loss, and other consequences. Cybercrime is a growing problem today. It is not easy to protect an ordinary business from such dangers. Security is a key consideration in infrastructure design because it protects the confidentiality, integrity, and availability of sensitive information and services. Well-configured network security includes separating individual network segments, ensuring the security of network services, monitoring, data flow analysis, and access trust management. Therefore, the objective of this publication is to present an analysis of security risks in computing infrastructures to minimize the likelihood of security incidents and ensure the continuous availability, integrity, and confidentiality of data and services.

关键词： computer network network technologies server network security firewall

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Age-Friendly Route Planner: Calculating Comfortable Routes for Senior Citizens 1

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

作者： Aranguren, Andoni Osaba, Eneko Urra-Uriarte, Silvia Molina-Costa, Patricia TECNALIA Basque Res & Technol Alliance BRTA Derio 48160 Spain

ISBN: (数字)9783031456510

ISBN: (纸本)9783031456503;9783031456510

The application of routing algorithms to real-world situations is a widely studied research topic. Despite this, routing algorithms and applications are usually developed for a general purpose, meaning that certain groups, such as ageing people, are often marginalized due to the broad approach of the designed algorithms. This situation may pose a problem in cities which are suffering a slow but progressive ageing of their populations. With this motivation in mind, this paper focuses on describing our implemented Age-Friendly Route Planner, whose goal is to improve the experience in the city for senior citizens. In order to measure the age-friendliness of a route, several variables have been deemed, such as the number of amenities along the route, the amount of comfortable elements found, or the avoidance of sloppy sections. In this paper, we describe one of the main features of the Age-Friendly Route Planner: the preference-based routes, and we also demonstrate how it can contribute to the creation of adapted friendly routes.

关键词： Route Planning Optimization Smart Cities Senior Citizens Ageing People

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