Serverless applications are based on Function-as-a-Service (FaaS) platforms where serverless functions interact with other cloud-specific services. The integration of these components is crucial for the application’s...
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The security and privacy of Android device users are seriously threatened by the sophistication and endurance of malware. The risks associated with malware assaults on Android are larger than ever since mobile devices...
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ISBN:
(纸本)9783031820724;9783031820731
The security and privacy of Android device users are seriously threatened by the sophistication and endurance of malware. The risks associated with malware assaults on Android are larger than ever since mobile devices are being utilized for sensitive transactions and data storage more and more. This paper proposes a dynamic malware detection system that mines data from processcontrol Blocks (PCBs) during process execution to identify malicious activity using deep learning techniques. Our method provides robust detection of various threats by examining processes at this fundamental level. It precisely monitors changes in PCB parameters for all application threads functioning at the kernel level, in contrast to user-level malware detection. Our PCB mining approach outperforms existing methods in accuracy and scalability of captured PCB records. Our testing findings revealed a high success rate, capturing over 99 percent of context transitions. Utilizing a manageable sequence size of 12 PCBs, our deep learning detection model successfully identified malicious activity at various points in the process execution, achieving an accuracy of 95.6%.
Adaptive control has been extensively proved as a promising strategy for nonlinear systems, especially in the dynamic and changeable environments. However, due to the unavoidable existence of unknown interconnections ...
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In this paper, liquid-liquid-mixer systems modelled by population balance equations are considered. As the control input / manipulated variable, the stirrer speed (and hence the energy dissipation rate) is used to con...
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In this paper, liquid-liquid-mixer systems modelled by population balance equations are considered. As the control input / manipulated variable, the stirrer speed (and hence the energy dissipation rate) is used to control the distribution of the particle size. Three different measurement signals are considered. We investigate the observability and identifiability of the system for each measurement option and show that only in one scenario the model is observable and structurally identifiable. Further, it is shown that in this scenario, practical identifiability is generally challenging and particular care must be taken to ensure the model with identified parameter values is able to describe the dynamic behaviour of the system. Copyright (c) 2025 The Authors. This is an open access article under the CC BY-NC-ND license (https://***/licenses/by-nc-nd/4.0/)
This work introduces a formal framework for model order reduction of an ion exchange process commonly used in water treatment for human consumption. The objective is to retrieve a finite dimension model to describe th...
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This work introduces a formal framework for model order reduction of an ion exchange process commonly used in water treatment for human consumption. The objective is to retrieve a finite dimension model to describe the advection-diffusion-reaction-equation governing the ion exchange process in a packed bed reactor. A state-space model is derived using a finite-difference scheme to explain the ion exchange process for ammonium removal. Further, a model order reduction step is incorporated to streamline the computational complexity while preserving the essential dynamics of the system. Three model order reduction criteria are established based on the breakthrough curve retrieved by numerical simulations. The results quantitatively demonstrate the influence of the reduction criteria on the behavior of the breakthrough curves. This proposal aims to serve as a reference framework for designing experiments in ion exchange processes for ammonium removal and further optimizing these processes using estimation and control strategies. Copyright (c) 2025 The Authors. This is an open access article under the CC BY-NC-ND license (https://***/licenses/by-nc-nd/4.0/)
Microelectronics design is often a labor-intensive process involving extensive simulations, fabrication, and testing, particularly in analog design, which demands a skilled workforce with specialized knowledge. Emergi...
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In order to realize the automation of the stacking production line in the spinning workshop, a translational multi station stacking process was designed, the moving path of the gripper of the stacking equipment was op...
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The proceedings contain 18 papers. The special focus in this conference is on Enterprise Design, Operations, and computing. The topics include: A Tree-Based Definition of Business process Conformance;control-Flow...
ISBN:
(纸本)9783031783371
The proceedings contain 18 papers. The special focus in this conference is on Enterprise Design, Operations, and computing. The topics include: A Tree-Based Definition of Business process Conformance;control-Flow Reconstruction Attacks on Business process Models;value Assessment of Consumer Electronics with Digital Product Passports: A Case Study of Lifetime Extension Assessment of Disposed Washing Machines;How to Measure the Speed of Enterprise IT? – An Enterprise Architecture-Based Case Study in a Very Large Enterprise;towards Role Mappings in Hybrid Cloud Environments: A Systematic Literature Review;a Longitudinal View on the Perceived Contribution of Enterprise Architecture in The Netherlands;MVVM Revisited: Exploring Design Variants of the Model-View-ViewModel Pattern;domain-Driven Design Representation of Monolith Candidate Decompositions;Implications of Trust in Cyber-Physical Systems Design: The ASSA Case Study;Drivers and Metrics for Quantifying IT Landscape Complexity;GNN-Based Conceptual Model Modularization: Approach and GA-Based Comparison;automatic Extraction and Formalization of Temporal Requirements from Text: A Survey;recognizing Relationships: Detecting the 4C Spectrum in O(P2+T2) for Acyclic Sound process Models;process Tree Alignments;DigiEMine: Towards Leveraging Decision Mining and Context Data for Quality control;Unlocking Sustainability Compliance: Characterizing the EU Taxonomy for Business process Management.
The proceedings contain 78 papers. The topics discussed include: dynamic modeling and numerical calculation of a hydraulic actuated flexible knuckle boom crane;control-oriented gray-box modeling for thermoset injectio...
The proceedings contain 78 papers. The topics discussed include: dynamic modeling and numerical calculation of a hydraulic actuated flexible knuckle boom crane;control-oriented gray-box modeling for thermoset injection molding;empirical modeling of unsteady bulging in continuous slab casters;computationally efficient optimal control problem formulation illustrated by automotive applications;modelling of an underground electric vehicle cycle for battery sizing analysis using Modelica;physics-informed sparse gaussian processes for model predictive control in building energy systems;application of recurrent neural networks for predictive modeling of electrical submersible pumps in oil extraction;and digital twin for autonomous decision-making in gas lift operations: improving reliability and adaptability.
This study aims to review existing literature on audits within the technological domain, with a specific focus on Robotic processautomation (RPA), in order to develop a framework tailored to the RPA technology lifecy...
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