Traditional field gas station monitoring follows a pyramid control system scheme, and the system was divided into 4 layers: field, control, monitoring, and management. With the advance of technologies, two problems ap...
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Autonomic Networking is one of the main models proposed for the deployment of Networking Intents. Ideally, Intent should be specified by the user in a natural language (e.g., English), but it must then be transformed ...
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ISBN:
(纸本)9783903176591
Autonomic Networking is one of the main models proposed for the deployment of Networking Intents. Ideally, Intent should be specified by the user in a natural language (e.g., English), but it must then be transformed into a computer-executable representation that can then be mapped onto interactions with existing networking components. There currently is no consensus as to what language can be used to express the operational version of Networking Intents. The Autonomic System Specification Language (ASSL) was designed for the specification and verification of autonomic systems in general. We propose to use ASSL as the intermediate language to express the executable version of Networking Intents. Starting from a set of Intent examples (expressed in English), transformations of the examples into ASSL have been obtained. Using these examples, we show that ASSL is capable of expressing a very wide range of Networking Intents.
The brain-computer interface (BCI) research field provides advanced biomedical technology based unique assistive or rehabilitative solutions aimed at helping people with neuromotor disabilities. The purpose of this pa...
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Bug tracking systems enable developers to log and track bugs in a centralized system, making it easier to manage and prioritize issues, assign tasks to team members, and track progress. They also provide a way for use...
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The proceedings contain 26 papers. The special focus in this conference is on European Performance engineering. The topics include: Decision Analysis in Stochastic Sociocultural systems;evaluating the Perfor...
ISBN:
(纸本)9783031431845
The proceedings contain 26 papers. The special focus in this conference is on European Performance engineering. The topics include: Decision Analysis in Stochastic Sociocultural systems;evaluating the Performance Impact of No-Wait Approach to Resolving Write Conflicts in Databases;stochastic Matching Model with Returning Items;construction of Phase Type Distributions by Bernstein Exponentials;bayesian Networks as Approximations of Biochemical Networks;performance of Genetic Algorithms in the Context of software Model Refactoring;an Approach Using Performance Models for Supporting Energy Analysis of softwaresystems;an Implementation Study of the Impact of Batching on Replication Protocols Performance;workflow Characterization of a Big Data System Model for Healthcare Through Multiformalism;performance and Energy Evaluation for Solving a Schrödinger-Poisson System on Multicore Processors;MONCHi: MONitoring for Cloud-native Hyperconnected Islands;a Quantitative Approach to Coordinated Scaling of Resources in Complex Cloud Computing Workflows;a State-Size Inclusive Approach to Optimizing Stream Processing Applications;execution Time Prediction Model that Considers Dynamic Allocation of Spark Executors;exploiting Structural Dependency Relations for Efficient Agent Based Model Simulation;stability Analysis and Simulation of a Cellular Network with Retransmissions Policy;Performance Evaluation of Global Trust Management in MANETs Routing Protocols;stochastic Analysis of Rumor Spreading with Multiple Pull Operations in Presence of Non-cooperative Nodes;analysis of a Two-State Markov Fluid Model with 2 Buffers;a Variable-Cycle Traffic Light Queue;m/G/1 Queue with State Dependent Service Times;sojourn Time in a Markov Driven Fluid Queue with Finite Buffer;performance Analysis of Multi-server Queueing systems with Batch Services and Setup Times;on a Stochastic Epidemic Model with Limited Number of Hospital Beds.
Motorbike driving activity recognition plays a crucial role in various domains, including rider safety, vehicle diagnostics, and driver behavior analysis. Traditional methods for activity recognition often rely on ded...
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Automated driving object detection has always been a challenging task in computer vision due to environmental uncertainties. These uncertainties include significant differences in object sizes and encountering the cla...
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Undetected anomalous incidents on the freeway, such as crashes, can cause increased congestion and secondary crashes. To address this problem, we recently released a real freeway traffic anomalous event detection data...
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ISBN:
(纸本)9798400714986
Undetected anomalous incidents on the freeway, such as crashes, can cause increased congestion and secondary crashes. To address this problem, we recently released a real freeway traffic anomalous event detection dataset. However, our evaluation was limited to a static week of traffic data. This demo presents a live anomaly detection dashboard, processing sensor data with a 1-minute delay. It has interactive components to adjust the anomaly detection performance, providing a realistic evaluation of graph anomaly detection methods for long-term analysis and method improvements.
Autonomous robots operating in complex environments face the critical challenge of identifying and utilizing environmental cover for covert navigation to minimize exposure to potentially harmful targets. We propose En...
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As use of data driven technologies spreads, software engineers are more often faced with the task of solving a business problem using data-driven methods such as machine learning (ML) algorithms. Deployment of ML with...
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