the proceedings contain 17 papers. the special focus in this conference is on Verification, Model Checking, and Abstract Interpretation. the topics include: A Generic Framework to Coarse-Grain Stochastic Reaction Netw...
ISBN:
(纸本)9783031249495
the proceedings contain 17 papers. the special focus in this conference is on Verification, Model Checking, and Abstract Interpretation. the topics include: A Generic Framework to Coarse-Grain Stochastic Reaction Networks by Abstract Interpretation;CosySEL: Improving SAT Solving Using Local Symmetries;sound Symbolic Execution via Abstract Interpretation and Its Application to Security;result Invalidation for Incremental Modular Analyses;synthesizing History and Prophecy Variables for Symbolic Model Checking;solving Constrained Horn Clauses over Algebraic Data Types;ARENA: Enhancing Abstract Refinement for Neural Network Verification;SMT-Based Modeling and Verification of Spiking Neural Networks: A Case Study;StaticPersist: Compiler Support for PMEM Programming;symbolic Abstract Heaps for Polymorphic Information-Flow Guard Inference;satisfiability Modulo Custom theories in Z3;bayesian Parameter Estimation with Guarantees via Interval Analysis and Simulation;a Pragmatic Approach to Stateful Partial Order Reduction;compositional Verification of Stigmergic Collective systems;efficient Interprocedural Data-Flow Analysis Using Treedepth and Treewidth.
the gradual refinement approach has proved to be very efficient tool for finding a good approximation of the Pareto front consisting of various public service designs. the individual designs are represented by sets of...
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Applications of adaptive e-learning, recommender systems and learning analytics are typically presented individually, however, their combination poses several challenging requirements ranging from organizational to te...
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ISBN:
(数字)9783031058875
ISBN:
(纸本)9783031058875;9783031058868
Applications of adaptive e-learning, recommender systems and learning analytics are typically presented individually, however, their combination poses several challenging requirements ranging from organizational to technical issues. this article presents a technical study from a holistic application of a variety of e-learning assistance technologies, including recommender systems, chatbots, adaptivity, and learning analytics. At its core we operationalize interoperability standards such as the Experience API (xAPI) and Learning Tools Interoperability (LTI), and controlthe data flow via a standard-encapsulating middleware approach. We report on the challenges regarding organization, methodology, content, didactics, and technology. A systematic evaluation withthe target group discusses the users' expectations withthe measured interactions.
Instance selection (IS) serves as a vital preprocessing step, particularly in addressing the complexities associated with high-dimensional problems. Its primary goal is the reduction of data instances, a process that ...
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this paper examines the potential of programming distributed controlsystemsthrough the process-oriented paradigm. Two key characteristics exhibited by the proposed approach are topologically independent control algo...
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the reliable guidance of power grid systems due to the massive demand, the expansion and maintenance of electrical power requires more restrictive requirements to improve the continuity and the quality of the power sy...
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the proceedings contain 27 papers. the special focus in this conference is on Passive and Active Measurement. the topics include: Evaluation of the ProgHW/SW Architectural Design Space of Bandwidth Esti...
ISBN:
(纸本)9783031284854
the proceedings contain 27 papers. the special focus in this conference is on Passive and Active Measurement. the topics include: Evaluation of the ProgHW/SW Architectural Design Space of Bandwidth Estimation;An In-Depth Measurement Analysis of 5G mmWave PHY Latency and Its Impact on End-to-End Delay;A Characterization of Route Variability in LEO Satellite Networks;improving the Inference of Sibling Autonomous systems;a Global Measurement of Routing Loops on the Internet;as2 org+ : Enriching AS-to-Organization Mappings with PeeringDB;RPKI Time-of-Flight: Tracking Delays in the Management, control, and Data Planes;Intercept and Inject: DNS Response Manipulation in the Wild;Characterizing the VPN Ecosystem in the Wild;A First Look at Brand Indicators for Message Identification (BIMI);A Second Look at DNS QNAME Minimization;How Ready is DNS for an IPv6-Only World?;TTL Violation of DNS Resolvers in the Wild;operational Domain Name Classification: From Automatic Ground Truth Generation to Adaptation to Missing Values;a First Look at third-Party Service Dependencies of Web Services in Africa;exploring the Cookieverse: A Multi-Perspective Analysis of Web Cookies;Quantifying User Password Exposure to third-Party CDNs;Stranger VPNs: Investigating the Geo-Unblocking Capabilities of Commercial VPN Providers;Exploring the Evolution of TLS Certificates;Analysis of TLS Prefiltering for IDS Acceleration;DissecTLS: A Scalable Active Scanner for TLS Server Configurations, Capabilities, and TLS Fingerprinting;a Measurement-Derived Functional Model for the Interaction Between Congestion control and QoE in Video Conferencing;effects of Political Bias and Reliability on Temporal User Engagement with News Articles Shared on Facebook;Efficient Continuous Latency Monitoring with eBPF.
An Automated Driving System (ADS) must undergo comprehensive safety testing before receiving a road permit. Since it is not clear what exactly constitutes sufficient safety for an ADS, one could assume that an ADS is ...
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ISBN:
(纸本)9783031492686;9783031492693
An Automated Driving System (ADS) must undergo comprehensive safety testing before receiving a road permit. Since it is not clear what exactly constitutes sufficient safety for an ADS, one could assume that an ADS is safe enough if it is at least as safe as a Human Driven Vehicle (HDV). Simulation-based testing is a cost-effective way to check the safety of an ADS. My goal is to develop an approach to compare the safety behavior of ADS and HDV using simulation. this comparison aims to quantify the advantages and disadvantages of ADS compared to HDV. Additionally, I aim to develop a process for selecting specific scenarios that contribute to building trust in the accuracy and reliability of simulation results. this involves defining performance criteria against which the behavior of an ADS in the simulator is compared to that of a HDV. Furthermore, I aim to translate the performance advantages or disadvantages observed in simulated ADS behavior into real-world safety-critical traffic scenarios.
the proceedings contain 123 papers. the special focus in this conference is on Artificial Intelligence in Education. the topics include: Simulating Learning from Language and Examples;learner Perception of...
ISBN:
(纸本)9783031363351
the proceedings contain 123 papers. the special focus in this conference is on Artificial Intelligence in Education. the topics include: Simulating Learning from Language and Examples;learner Perception of Pedagogical Agents;how Useful Are Educational Questions Generated by Large Language Models?;"A Fresh Squeeze on Data": Exploring Gender Differences in Self-efficacy and Career Interest in Computing science and Artificial Intelligence Among Elementary Students;preserving Privacy of Face and Facial Expression in computer Vision Data Collected in Learning Environments;towards Extracting Adaptation Rules from Neural Networks;predicting Student Scores Using Browsing Data and Content Information of Learning Materials;item Difficulty Constrained Uniform Adaptive Testing;a Support System to Help Teachers Design Course Plans Conforming to National Curriculum Guidelines;virtual Agent Approach for Teaching the Collaborative Problem Solving Skill of Negotiation;Generative AI for Learning: Investigating the Potential of Learning Videos with Synthetic Virtual Instructors;evaluating the Rater Bias in Response Scoring in Digital Learning Platform: Analysis of Student Writing Styles;equity, Diversity, and Inclusion in Educational Technology Research and Development;it’s Good to Explore: Investigating Silver Pathways and the Role of Frustration During Game-Based Learning;evaluating Language Learning Apps for Behaviour Change Using the Behaviour Change Scale;Ghost in the Machine: AVATAR, a Prototype for Supporting Student Authorial Voice;AI Education for K-12: A Survey;annotating Educational Dialog Act with Data Augmentation in Online One-on-One Tutoring;utilizing Natural Language Processing for Automated Assessment of Classroom Discussion;using Large Language Models to Provide Formative Feedback in Intelligent Textbooks;improving Code Comprehension through Scaffolded Self-explanations;tutorial: Educational Recommender systems;AI Cognitive - Based systems Supporting Learning Process
Vehicle dynamics model is critical for autonomous vehicles since it provides certain rules of motion in response to the surrounding rapidly changing environment. However, current pure physics-based models and data-dri...
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