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

共 28200 条记录，以下是61-70 订阅

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Peer-Assessed (Evaluated) Automated Grading System: A Comprehensive Exploration with Emphasis on Batch processing Data Visualization and Rigorous Peer Evaluation 24

Peer-Assessed (Evaluated) Automated Grading System: A Compre...

引用

2024 international conference on Artificial Intelligence and Teacher Education, ICAITE 2024

作者： Liow, Hui Jia Karin Yau, Peter ChunYu Tang, LaiMeng Seow, CheeKiat Cao, Qi School of Computing Science University of Glasgow Glasgow United Kingdom

ISBN: (纸本)9798400710131

Grading process is a critical yet intricate task for educators. This research addresses the inefficiencies and complexities inherent in the current manual grading approach, focusing on the challenges faced by educators in tasks such as raw score assignment, assessment score calculation, and incorporating peer evaluation. The extensive use of Excel sheets further complicates the process, demanding considerable time and effort. To overcome these challenges, the research proposes the development of an Automated Grading System with advanced features, including batch processing, data visualization, and robust peer evaluation. The literature review delves into existing grading software, emphasizing the need for comprehensive grading solutions that efficiently handle large-scale tasks and offer a seamless user experience. The research outlines a serverless software architecture leveraging cloud computing advantages, emphasizing scalability, cost-efficiency, and reduced operational overhead. The methods and system design section details the implementation of *** MVC, jQuery, ***, and a User Identity Framework for secure role-based access control. The algorithm, procedure, and batch processing section elucidate the intricate steps involved in calculating assessment scores, incorporating peer evaluation, and determining the overall student grade. By adopting this advanced Automated Grading System, educators can streamline the grading process, reduce manual workload, and enhance overall efficiency. The proposed system addresses the limitations of existing grading software, providing a holistic solution for educational institutions aiming to improve the grading experience for both educators and students. Copyright © 2024 held by the owner/author(s).

关键词： Batch data processing

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control-Flow Reconstruction Attacks on Business process Models 28th

Control-Flow Reconstruction Attacks on Business Process Mod...

引用

28th international conference on Enterprise Design, Operations, and computing, EDOC 2024

作者： Kirchmann, Henrik Fahrenkrog-Petersen, Stephan A. Mannhardt, Felix Weidlich, Matthias Humboldt-Universität zu Berlin Berlin Germany Weizenbaum Institute for the Networked Society Berlin Germany Eindhoven University of Technology Eindhoven Netherlands

ISBN: (纸本)9783031783371

process models may be automatically generated from event logs that contain as-is data of a business process. While such models generalize over the control-flow of specific, recorded process executions, they are often also annotated with behavioural statistics, such as execution frequencies. Based thereon, once a model is published, certain insights about the original process executions may be reconstructed, so that an external party may extract confidential information about the business process. This work is the first to empirically investigate such reconstruction attempts based on process models. To this end, we propose different play-out strategies that reconstruct the control-flow from process trees, potentially exploiting frequency annotations. To assess the potential success of such reconstruction attacks on process models, and hence the risks imposed by publishing them, we compare the reconstructed process executions with those of the original log for several real-world datasets. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

关键词： Administrative data processing

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Enhancing Cross-Domain Access Efficiency in Zero-Trust Scenarios Oriented to the Access process

Enhancing Cross-Domain Access Efficiency in Zero-Trust Scena...

引用

2025 international conference on Electrical automation and Artificial Intelligence, ICEAAI 2025

作者： Li, Xian Zhang, Shijun Zeng, Jing Li, Shuo Yang, Ruxia State Grid Jibei Information & Telecommunication Company State Grid Beijing China State Grid Laboratory of Power cyber Security Protection and Monitoring Technology China Electric Power Research Institute Nanjing China

ISBN: (纸本)9798331506797

During cross-domain access, both communication ends need zero-trust evaluation by the trust assessment node and policy matching for permission. Nodes handling these may face concurrent computing and policy search tasks that need to be performed. We propose a new method to enhance security and efficiency. By introducing a trust hash value from access-end features and optimizing the policy tree, along with a better trust calc method, experiments show improved cross-domain access efficiency and accuracy, offering a new view for power grid services. © 2025 IEEE.

关键词： Cross-Domain New power system Trust assessment Zero trust

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A Green and Secure Model for Fog computing in Mobile Cloud Environments Using Containerization 3

A Green and Secure Model for Fog Computing in Mobile Cloud E...

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3rd IEEE international conference on automation and Computation, AUTOCOM 2025

作者： Patra, Bichitrananda Seth, Kanika Mithun Kumar, S. Acharjya, Kalyan Ankayarkanni, B. Kundra, Danish Department of Computer Applications Odisha Bhubaneswar India Chitkara University Chitkara Centre for Research and Development Himachal Pradesh Baddi174103 India Karnataka Bangalore India Maharishi School of Engineering & Technology Maharishi University of Information Technology Uttar Pradesh India Sathyabama Institute of Science and Technology Department of Computer Science and Engineering Tamil Nadu Chennai India Chitkara University Centre of Research Impact and Outcome Punjab Rajpura140417 India

ISBN: (纸本)9798331542375

Internet of Things devices, and mobile computing, there is a growing demand for effective data processing where computation meets network traffic. Here, the fog computing concept has emerged to cater to this demand through a decentralized architecture that allows the processing and storing of data closer to end-users. Despite this, the dynamic and diverse fog computing ecosystem delivers security threats and resource efficiency challenges. This article introduces a solution for it, called the Green and Secure Model for Fog computing in Mobile Cloud Environments, by implementing container architecture. Containers allow applications with dependencies to be bundled together for improved portability, scalability, and resource utilization models such as GSM-FCMCE. Moreover, the model contains an intelligent security layer where encryption and data- authentication and access control paradigms-help protect volatile information from malicious attacks. In addition, the proposed model adopts green computing techniques to minimize energy utilization and increase sustainability in fog-based environments. By performing many experiments and simulations, the efficiency in terms of security achieved based on the GSM-FCMCE model works to minimize energy waste rate and increase resource utilization. It would seem quite a viable model for the cloud computing community to solve some of these fog-related issues and introduce more sustainable & secure mobile data processing. © 2025 IEEE.

关键词： Authentication

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Automating Vulnerability Scanning and Patching Along with OWASP and CVE Databases on Docker Container Images 3rd

Automating Vulnerability Scanning and Patching Along with OW...

引用

3rd international conference on Advances in computing Research, ACR 2025

作者： Ohaeche, Joseph U. Wang, Xinli School of Computing Grand Valley State University Michigan United States

ISBN: (纸本)9783031876462

The evolution of container technology has seen significant progress, starting from the introduction of the Unix U7 container concept in 1979 to the popularization of the Docker container concept in 2013. In recent years we have seen docker containers being provisioned as servers or virtual machine hosts on cloud services. Several cloud providers have adopted and support docker containers to be built and deployed on their platforms. It is important to proactively detect and patch vulnerable docker containers before they are deployed into production environments or hosted as VM servers. This paper aims to evaluate and develop a methodology that is useful in vulnerability scanning and automating a workflow process that halts deploying identified vulnerable docker container images for further security risk analysis, patching, and eventually deploying into production environments. The patch management process is also automated to fetch possible fixes from the CVE databases. The outcome of this research paper highlights the purpose and significance of our automation script in continuous integration and continuous deployment (CI/CD) pipeline workflow for the timely discovery of easy-to-exploit vulnerabilities in container images, and a proactive approach to halt deploying affected container images to production environments for further security health check and remediation to reduce the risk of attack surfaces that can be exploited leading to major security incidents. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

关键词： Risk management

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Automated Hydrogen Peroxide Flow control for Optimized Paper Bleaching in Paper Industry

Automated Hydrogen Peroxide Flow Control for Optimized Paper...

引用

Advanced computing Technologies (ICoACT), international conference on

作者： K. Prabhu S. Vijayachitra Sachin A Subasri J Kavin E Department of Electronics and Instrumentation Engineering Kongu Engineering College Erode Tamil Nadu

ISBN: (数字)9798331509859

ISBN: (纸本)9798331509866

The amount and control of chemical additives, including hydrogen peroxide, determine the effectiveness and ecological implications of bleaching techniques for paper. Conventional application processes of hydrogen peroxide during the bleaching stage of paper production tend to provide variable bleaching effects and high consumption of the additive. Such factors are of utmost significance in maintaining product quality as well as minimizing operational costs. This paper discusses an automated system in controlling the flow of hydrogen peroxide, objectives to improve the paper bleaching process effectively and uniformly distribute a chemical additive. In our approach, we couple sophisticated flow control technology with real-time monitoring systems that adjust the flows dynamically based on specific needs of the bleaching process. Sensors continuously measure critical process variables, while maintaining optimal concentration of peroxide at all times with controlled feedback loops. Such automation ensures more precise chemical dosing, results in more uniform bleaching, and paper of better quality. Such a control system for an automated flow significantly improves the efficiency of bleaching compared with conventional systems. It helps in achieving more even brightness in paper and reduces the level of chemicals used in the system, thereby making production environmentally sustainable since chemical waste becomes less and probably negative impacts on the environment decrease.

关键词： Pulp and paper industry Chemical sensors automation Flow production systems Bleaching Hydrogen process control Real-time systems Sensors Chemicals

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processing method of unstructured power material data based on edge computing framework

Processing method of unstructured power material data based ...

引用

2024 international conference on Physics, Photonics, and Optical Engineering, ICPPOE 2024

作者： Zhang, Qizhe Zhao, Ruyi Zhao, Chuanqi Zhao, Yue China Electric Power Research Institute Beijing100089 China State Grid Shandong Electric Power Research Institute Ji’nan250003 China

ISBN: (数字)9781510689121

ISBN: (纸本)9781510689114

With the development of power system, the processing of unstructured power material data has become increasingly important, especially in the context of diverse data types and expanding scale. Unstructured data accounts for a considerable proportion, such as images, videos, text and so on. The processing of these data is very important for the efficiency and accuracy of power material management. The emergence of edge computation framework provides new ideas and methods for the processing of unstructured power material data. Using edge computation framework to process these unstructured data can effectively improve the efficiency of data processing, reduce cloud dependence, and optimize data storage and security management. This paper covers the basic concepts of unstructured data, the design of edge computation architecture and the dynamic secure storage scheme of data and analyzes the application effects of various technologies in different scenarios. © 2025 SPIE.

关键词： Data accuracy

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Investigating Topology Optimization Techniques for Enhancing Network Performance in Cloud computing Environments 3

Investigating Topology Optimization Techniques for Enhancing...

引用

3rd IEEE international conference on automation and Computation, AUTOCOM 2025

作者： Nandy, Manish Dubey, Ahilya Kalinga University Department of Cs & It Raipur India

ISBN: (纸本)9798331542375

In this paper, a literature review of network optimization of cloud services and the improvement achieved in terms of performance is presented. The measures that are used in this regard were latency, throughput, utilization, packet loss, energy consumption, fault tolerance and the time the network took to recover. Optimization strategies enhance the general latency;on average from 120 ms to 85 ms = 29.17% and the throughput, increasing from 7.5 Gbps to 9.3 Gbps = 24%. A variation in the bandwidth usage from 65% to 85% was noticed (an enhancement of 30.77%) and a decrease in percentage of packets lost from (3.2% from 56.25%) to 1.4%. As with energy efficiency, it rose from 0.0028J/ bit to 0.0019J/ bit, altogether an improvement of 32.14% while the fault tolerance also improved from 85% to 92%, an improvement of 8.24%. However, the enhancement of the overall network recoveries within this project layout saw the utilisation of the slope of the recovery time within the network recovery be reduced by 46.67%, and this knocked off 8 seconds from the previous 15 seconds used in this process. The findings outlined and discussed here therefore point to the fact that while there is need to advance targeted optimization strategies for network performance, reliability, and efficiency in cloud computing settings and use contexts as above, in terms of utilization and utilization experience. © 2025 IEEE.

关键词： Shape optimization

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Assessment and Management of Security Risks in Accounting Information Systems from a Lifecycle Perspective

Assessment and Management of Security Risks in Accounting In...

引用

2024 international conference on Mechatronics and Intelligent control, ICMIC 2024

作者： Gong, Lijiahui Business School Wuhan Huaxia Institute of Technology Wuhan430223 China

ISBN: (数字)9781510686847

ISBN: (纸本)9781510686830

As the carrier of information assets, the importance of accounting information systems is increasing with the development of informatization. Meanwhile, information systems are facing more security threats. How to effectively ensure the security of information systems and prevent information assets from being stolen or damaged has become an inevitable challenge. Therefore, conducting research on the security issues of information systems is of great significance. In response to the data security risks in accounting information systems, this article first establishes a risk indicator system and proposes an information system risk assessment model based on adaptive fuzzy neural networks, which scores the risk indicator attributes during the assessment process. In addition, we propose a fine-grained weight adaptive adjustment algorithm in the model, which provides a quantitative method for the risk indicators of accounting information systems. The feasibility and applicability of the model have been verified through simulation testing. © 2025 SPIE.

关键词： Information security Risk assessment Network security Computer security computing systems Fuzzy logic Situational awareness sensors Neural networks Systems modeling Prototyping

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Use neural Networks to Recognize Students' Handwritten Letters and Incorrect Symbols

Use neural Networks to Recognize Students' Handwritten Lette...

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2024 international conference on Mechatronics and Intelligent control, ICMIC 2024

作者： Zhu, Jia Jun Yang, Zichuan Hong, Binjie Song, Jiacheng Wang, Jiwei Chen, Tianhao Yang, Shuilan Lan, Zixun Ma, Fei Department of Information and Computing Science Xi'an Jiaotong-Liverpool University Suzhou China School of Engineering Suzhou Centennial College Suzhou China Department of Applied Mathematics Xi'an Jiaotong-Liverpool University Suzhou China GROW Inc. Suzhou China EasyStack Inc. Nanjing China TAL Education Group Beijing China

ISBN: (数字)9781510686847

ISBN: (纸本)9781510686830

Correcting students' multiple-choice answers is a repetitive and mechanical task that can be considered an image multi-classification task. Assuming possible options are 'abcd' and the correct option is one of the four, some students may write incorrect symbols or options that do not exist. In this paper, five classifications were set up - four for possible correct options and one for other incorrect writing. This approach takes into account the possibility of non-standard writing options. © 2025 SPIE.

关键词： Education and training Machine learning Data modeling Neural networks Image classification Visual process modeling Computer vision technology Deep learning Performance modeling Transformers

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