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检索条件"任意字段=International Conference on Process Automation, Control and Computing"

共 28211 条记录，以下是11-20 订阅

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Mitigating Security Vulnerabilities in Cloud-Based Home automation through Advanced Edge computing: A Comprehensive Framework for Privacy Enhancement and Data Protection 14

Mitigating Security Vulnerabilities in Cloud-Based Home Auto...

引用

14th IEEE international conference on Communication Systems and Network Technologies, CSNT 2025

作者： Kumar, Biresh Kumari, Shreya Kumar, Ritesh Singh, Vineet Kumar Sharma, Binod Kumar Gupta, Kamaldeep Amity Institute of Information Technology Amity University Jharkhand Jharkhand Ranchi India Cambridge Institute of Technology Tatisilwai Jharkhand Ranchi India Dept Of IT Dr. R.M.L. Avadh University UP Ayodhya India Dept. of Computer Sci. & Engg. BIT Mesra Jharkhand Ranchi India St. Xavier’s College Jharkhand Ranchi India

ISBN: (纸本)9798331531935

With the soaring adoption of cloud-constructed home automation systems with CAGR of 8.5% from 2023 to 2030, security and privacy concerns have become critical considerations. This paper examines the security risks in cloud-based home automation systems and proposes leveraging edge computing to improve data security and privacy. We examine weaknesses including unapproved access, data leaks and highlight limitations of cloud-centric architectures. By integrating edge computing, we reduce data exposure, enable local processing, and improve control within the home environment. We explore how edge computing addresses specific attacks and offline operation during network disruptions. Challenges of incorporating edge computing into cloud-based home automation are discussed. This research contributes insights for achieving a more secure and privacy-enhanced home automation system. © 2025 IEEE.

关键词： Sensitive data

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computing Performance Analysis of IEC 61499 Distributed automation Systems 26

Computing Performance Analysis of IEC 61499 Distributed Auto...

引用

26th international conference on Industrial Technology, ICIT 2025

作者： Lyu, Tuojian Vyatkin, Valeriy Aalto University Department of Electrical Engineering and Automation Espoo Finland Luleå Tekniska Universitet Department of Computer Science Computer and Space Engineering Sweden

ISBN: (纸本)9798331521950

This work analyzes the computing performance of distributed control systems in IEC 61499 on two hardware devices, Dell XPS workstation and Raspi 4B. Based on the test IEC 61499 application, three different system configurations are tested to simulate the distribution options of singleprocess and single-thread, multi-threading, and multi-process on both hardware platforms. Experimental results show that multiprocess configurations yield more consistent execution time due to dedicated resource allocation, while multi-threading, though resource-efficient, can lead to latency variability. These results aim at help in choosing optimal configurations and selecting hardware for performance in distributed automation systems. © 2025 IEEE.

关键词： Parallel processing systems

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Surrogate Modeling for control of Microbial Biopolymer Production process 11

Surrogate Modeling for Control of Microbial Biopolymer Produ...

引用

11th Vienna international conference on Mathematical Modelling, MATHMOD 2025

作者： Dürr, Robert Otto, Eric Kok, Rudolph L. Duvigneau, Stefanie Kienle, Achim Bück, Andreas Magdeburg-Stendal University of Applied Sciences Magdeburg39114 Germany Otto-von-Guericke University Magdeburg39106 Germany Max-Planck-Institute for Dynamics of Complex Technical Systems Magdeburg39106 Germany Friedrich-Alexander-University Erlangen-Nuremberg Erlangen39058 Germany

In this contribution, the Dynamic Mode Decomposition with control (DMDc) is used to derive a surrogate model of a continuous PHA biopolymer production process based on a recently published complex process model. Here, snapshot simulation data of the original model is processed to obtain a linear surrogate model formulation using delay coordinates. The quality of the surrogate is statistically validated within simulation studies. Additionally, the influence of the of the order of delay coordinates is investigated. It is shown, that the highly nonlinear dynamics of the PHA-manufacturing process can be approximated accurately by the DMD-based model even for large variations of initial conditions and control variables. This offers the opportunity to apply well-studied and established tools from robust and optimal control in future investigations. Copyright © 2025 The Authors.

关键词： process control

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control of the Technological process for Obtaining Propylene Glycol, Functioning in Fuzzy Information Conditions 16th

Control of the Technological Process for Obtaining Propylene...

引用

16th international conference on Application of Fuzzy Systems, Soft computing and Artificial Intelligence Tools, ICAFS 2023

作者： Melikov, E.A. Magerramova, T.M. Safarova, A.A. Azerbaijan State Oil and Industry University Baku Azerbaijan

ISBN: (纸本)9783031725050

Modern complex chemical-technological systems as automation objects are distinguished by the presence of a large number of controlled and uncontrolled parameters, high productivity, technological modes intensity and ongoing technological operations continuity. The proposed article focuses on the actual problems of analysis, modeling, development of a mathematical formulation and solving the control problem, which is important in the chemical industry, the technological process for producing propylene glycol, which is widely used in various industries, in particular, as a working fluid in hydraulic systems, raw materials in production antifreeze, varnish and paint, tobacco humidifier in the food industry, in the pharmaceutical and cosmetic industries, etc. Here, due to the complexity and impossibility of taking into account factors that are difficult to formalize, changes in technological parameters and process characteristics over a wide range, and the difficulty of monitoring the states of the process under consideration, the apparatus of fuzzy set theory is used. Mathematical models of the process under study are constructed on the basis of the estimating the maximum probability method, in the form of fuzzy regression dependencies connecting the perturbing, control and state parameters of the object under consideration. On the basis of the obtained fuzzy models, a physically based mathematical formulation of the problem of optimal control of the object under study is formulated and a self-adjusting automatic control system with a fuzzy controller is built, which ensures the optimal functioning of the object under conditions of incomplete information. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

关键词： Chemical industry

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Applying process Mining on Scientific Workflows: A Case Study on High Performance computing Data 22nd

Applying Process Mining on Scientific Workflows: A Case Stud...

引用

22nd international conference on Business process Management (BPM)

作者： Sadeghibogar, Zahra Berti, Alessandro Pegoraro, Marco van der Aalst, Wil M. P. Rhein Westfal TH Aachen Proc & Data Sci Aachen Germany

ISBN: (纸本)9783031786655;9783031786662

Computer-based scientific experiments are becoming increasingly data-intensive, necessitating the use of High-Performance computing (HPC) clusters to handle large scientific workflows. These workflows result in complex data and control flows within the system, making analysis challenging. This paper focuses on the extraction of case IDs from SLURM-based HPC cluster logs, a crucial step for applying mainstream process mining techniques. The core contribution is the development of methods to correlate jobs in the system, whether their interdependencies are explicitly specified or not. We present our log extraction and correlation techniques, supported by experiments that validate our approach, enabling comprehensive documentation of workflows and identification of performance bottlenecks.

关键词： High Performance computing SLURM Scientific workflow process mining

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Enhancing trusted computing operation efficiency based on parallel file verification techniques 4

Enhancing trusted computing operation efficiency based on pa...

引用

4th international conference on Network Communication and Information Security, ICNCIS 2024

作者： Zhang, Zhilong Pan, Fengyan Hou, Haibo Li, Yuan Shanghai Jiaotong University Shanghai China Beijing Chenguang Rongxin Technology Co. Beijing China

ISBN: (数字)9781510688261

ISBN: (纸本)9781510688254

Trusted computing technology represents a significant element of cyber security systems, serving to guarantee the integrity and accessibility of data and systems. The incorporation of Trusted computing introduces a series of security detection and verification mechanisms to the host system, consequently impacting the performance of host system startup and application operation. In this paper, following an analysis of the verification mechanisms of Trusted computing, a parallel verification mechanism is proposed. The objective is to facilitate the parallel operation of the host system program and the TPM-based file verification process, thereby enhancing the operational efficiency of the trusted computing system. Through the configurable and micro-intervention design scheme, flexible expansion and configuration within the existing Trusted computing technology framework can be achieved. © 2025 SPIE.

关键词： computing systems Design Computer security process control Systems modeling Mathematical optimization Operating systems

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Navigating automation: process Analysis Framework for Robotic process automation Adoption 5th

Navigating Automation: Process Analysis Framework for Roboti...

引用

5th international conference on computing, Communications, and Cyber Security, IC4S 2023

作者： Tripathi, Veena Tripathi, Neeraj Model Institute of Engineering and Technology Jammu India Shri Mata Vaishnodevi University Katra India

ISBN: (纸本)9789819773701

Robotic process automation (RPA) is an emerging approach designed to automate repetitive human tasks through the use of software-based robots. In the context of business processes, RPA involves configuring these software robots to perform the tasks that were previously carried out by human employees within the organization. Adopting RPA has many benefits, including increased productivity, greater accuracy, shorter cycle times, strengthened data security, and increased corporate efficiency. Organizations may simultaneously free their workers from tedious and repetitive activities, thanks to this technology. However, enterprises must successfully manage the process to achieve the best results because RPA installation poses a considerable obstacle. This paper aims to help businesses successfully use RPA into their business processes. Specifically, it introduces a novel methodology aimed at guiding organizations in the analysis of business processes that are currently used and to identify the important amendable process for RPA implementation. This paper expounds upon the fundamental principles underpinning our methodology. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Nanorobotics

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Research on Garbled Circuits-Based Identity Authentication and Ciphertext Hidden Access control in Vehicular Networks 24

Research on Garbled Circuits-Based Identity Authentication a...

引用

9th international conference on Cloud computing and Internet of Things, CCIOT 2024

作者： Jiao, Zhilong Bai, Fenhua Zhang, Chi Zhang, Xiaohui Gong, Bei Faculty of Information Engineering and Automation Kunming University of Science and Technology China Kunming China Department of Computing Beijing University of Technology China Beijing China

ISBN: (纸本)9798400717161

Since most communications in vehicular networks rely on wireless transmissions, information broadcast by vehicles is highly susceptible to interception and eavesdropping by third parties, making it vulnerable to various attacks. This can result in communication messages being tampered with and the leakage of vehicle locations and identity privacy. From a security perspective, this paper introduces Yao's garbled circuit mechanism, combining random bytes with the solutions of linear equations as identity information assigned to vehicle nodes. By employing dual authentication, the proposed approach addresses issues such as privacy protection, anonymity, replay attacks, and collusion attacks in vehicular networks, thereby enhancing security. Moreover, considering the post-authentication access control scenario, this paper proposes a novel LSSS matrix transformation algorithm for ciphertext hidden access control strategy. It realizes a partially hidden policy, which makes matrix generation more efficient by supporting both AND and OR gates, thus improving the access control efficiency while ensuring security. Performance analysis indicates that in terms of identity authentication, the scheme reduces computational costs by an average of 96.25%, and in access control, the scheme reduces key generation time by an average of 80%. Copyright © 2024 held by the owner/author(s). Publication rights licensed to ACM.

关键词： Ciphertext

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Research on the Model of Optimizing the Intelligent Construction process by Using Three-Dimensional Graphics Modeling

Research on the Model of Optimizing the Intelligent Construc...

引用

2025 Asia-Europe conference on Cybersecurity, Internet of Things and Soft computing, CITSC 2025

作者： Wu, Di Anhui Vocational and Technical College Hefei China

ISBN: (纸本)9798331504205

This study proposes a modeling optimization method based on three-dimensional graphics for the modeling problem of complex geometric structures in the intelligent construction process. This method uses the Marching Cubes algorithm to efficiently generate meshes for the target structure. The complex geometric structure is decomposed into multiple cubic units, and then the model is reconstructed based on boundary judgment and interpolation operations. The system design includes an algorithm optimization module, a three-dimensional graphics rendering module, and a model simulation module to ensure the accuracy and efficiency of modeling. In the simulation process, the advantages of this method in terms of accuracy and real-time performance were verified by comparing indicators such as surface reconstruction error, mesh generation speed, and data processing efficiency of different models. The experimental results show that the proposed algorithm can effectively reduce the error rate in the modeling process, while improving the stability and reliability of data processing, laying a solid foundation for the digitization and automation of intelligent construction. Data analysis shows that this method can improve the computational efficiency by about 30% and control the error within 0.5%, significantly enhancing the application potential of three-dimensional graphics in intelligent construction. © 2025 IEEE.

关键词： Smart manufacturing

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Knowledge-Defined Internet of Things Architecture for Cloud-Edge Collaborative Industrial Monitoring 24

Knowledge-Defined Internet of Things Architecture for Cloud-...

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2nd international conference on Frontiers of Intelligent Manufacturing and automation, CFIMA 2024

作者： Zhou, Hongyu Xing, Fangyuan Tong, Fei Wang, Mufeng Zhang, Yan Yang, Shuaifeng Southeast University Nanjing China China Industrial Control Systems Cyber Emergency Response Team Beijing China

ISBN: (纸本)9798400710681

The Industrial Internet of Things (IIoT) has become a crucial technology driving the transformation of manufacturing towards intelligence. Traditional industrial networks primarily focus on data collection, whereas emerging IIoT emphasizes intelligent management and optimized control utilizing advanced technologies such as big data and artificial intelligence. With the more complex application scenarios, sole reliance on cloud computing fails to meet requirements for low latency and high security, thus leading to a trend towards edge-cloud collaborative computing. Knowledge-Defined Networking (KDN) introduces a knowledge plane above the control and data planes, which utilizes machine learning and deep learning methods to extract and analyze data and can guide the control plane in updating and optimizing network management and control decisions. This architecture enables the system to understand domain knowledge, supports knowledge-based reasoning decisions, and facilitates higher-level intelligent applications. This paper proposes a Knowledge-Defined Edge-Cloud Collaborative IoT architecture tailored for industrial monitoring scenarios. Therein, the edge is responsible for initial real-time data processing, while the cloud handles large-scale data storage and complex analytics. Knowledge definition are introduced into the entire framework and enables a comprehensive understanding of equipment status through historical data analysis and real-time feedback, which facilitates predictive issue identification and optimization of production plans. The enabling technologies that can implement the functions of the knowledge-based cloud, knowledge-based edge, knowledge-based end, and interfaces are summarized, which are expected to provide guidance for future IIoT. © 2024 Copyright held by the owner/author(s).

关键词： Cloud computing architecture

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