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

共 28119 条记录，以下是61-70 订阅

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Cyber-Physical Threat Analysis of Composite Scenario of Chinese Train control System Based on System Theoretic process Analysis 20

Cyber-Physical Threat Analysis of Composite Scenario of Chin...

引用

IEEE 20th international conference on automation Science and Engineering (CASE)

作者： Li, Saifei Zeng, Chunyun Ye, Jianbin Zhang, Lijie Southwest Jiaotong Univ Chengdu 611756 Peoples R China Norla Inst Tech Phys Chengdu 610041 Peoples R China

ISBN: (纸本)9798350358513;9798350358520

The high-speed railway has emerged as a crucial transportation mode in modern life, with the Chinese Train control System (CTCS) serving as the backbone for train operation safety. As the railway system transitions from being a closed network to being open and interconnected, the cyber-physical nature of the railway signaling system exposes it to escalating cyber security risks. Given its intricacy and significance, we introduce a cyber-physical threat analysis approach. This method is designed to investigate how network attacks can trigger significant safety incidents in the high-speed railway signal system. By extracting temporally non-conflicting unsafe control behaviors, we construct composite scenarios to enhance the existing analysis of the CTCS-3 train control system.

关键词： Railroads

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TrustEvent: Cross-Platform IoT Trigger Event Verification Using Edge computing 59

TrustEvent: Cross-Platform IoT Trigger Event Verification Us...

引用

59th Annual IEEE international conference on Communications (IEEE ICC)

作者： Reichenbach, Trent Fu, Chenglong Du, Xiaojiang Di, Jia Ji, Yuede Stevens Inst Technol Dept Elect & Comp Engr Hoboken NJ 07030 USA UNC Charlotte Dept Software & Informat Syst Charlotte NC USA Univ Arkansas Dept Comp Sci & Engr Fayetteville AR USA Univ North Texas Dept Comp Sci & Engr Denton TX USA

ISBN: (纸本)9781728190549

As smart home IoT systems gain popularity, they inevitably become targets for security risks and concerns. Among various cyber-attacks targeting these systems, the fake event attack poses significant issues due to its ability to manipulate secure devices through automation rules. In response to this threat, we propose TrustEvent - a system designed to offer end-to-end event signature verification. By integrating TrustEvent with existing home automation platforms, event authenticity is verified against signatures generated from edge devices before these events trigger automation rule execution. Notably, we have developed a signature proxy module, enhancing our system's compatibility across various platform scenarios. We have implemented a TrustEvent prototype in conjunction with existing commercial smart home IoT platforms, evaluating its overhead in the process. Our experimentation demonstrates that our system only marginally increases the automation execution latency, by an average of 3.74 seconds, representing a acceptable compromise for enhanced security.

关键词： Smart Home Event Spoofing Edge computing

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Multi-objective iterative learning control with application to vacuum heat treatment process 28

Multi-objective iterative learning control with application ...

引用

28th international conference on Methods and Models in automation and Robotics (MMAR)

作者： Balik, Piotr Klimkowicz, Kamil Patan, Maciej Univ Zielona Gora Doctoral Sch Exact & Tech Sci Inst Automat Elect & Elect Engn Zielona Gora Poland Univ Zielona Gora Inst Automat Elect & Elect Engn Zielona Gora Poland Univ Zielona Gora Inst Control & Computat Engn Zielona Gora Poland

ISBN: (纸本)9798350362350;9798350362343

Many industrial processes involve systems with spatiotemporal dynamics. As demands for accuracy and performance grow, conventional control algorithms are no longer sufficient. There is a need for improved identification and control methods that account for both temporal and spatial dynamics and are realizable in practical scenarios. This work presents an approach that competes with existing on-line feedback, using predictive iterative learning control. The control scheme is characterized along with details of its design and implementation. Simulations supplying are modeled after vacuum wafer heating in a furnace. The approach qualitatively tackled the nearly opposing goals of accurate parametric identification of the plant and trajectory tracking, demonstrating success when applied to practical problem.

关键词： Vacuum applications

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Dynamic Frequency Adjustment and Dispatching for Cloud computing System with Energy Cost Considerations 1

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33rd international conference on Flexible automation and Intelligent Manufacturing

作者： Wu, Ze-Kai Lin, Yen-Ju Yang, Yu-Chieh Wu, Cheng-Hung Natl Taiwan Univ Inst Ind Engn Taipei Taiwan Natl Taiwan Univ Inst Ind Engn Taipei Taiwan Natl Taiwan Univ Dept Business Adm Taipei Taiwan Natl Taiwan Univ Dept Mech Engn Taipei Taiwan

ISBN: (数字)9783031744853

ISBN: (纸本)9783031744846;9783031744853

This research studies the dynamic frequency adjustment and task dispatching problems for cloud computing systems under user demand uncertainties. The objective of the research is to minimize energy consumption and waiting costs. A dynamic programming model is presented to minimize total costs by adjusting CPU frequency dynamically. In this model, we implement real-time job dispatching based on the current state. With the objective of minimizing the total waiting time for tasks. Additionally, the model employs a stochastic process to accurately estimate the transition probability between various events. Backward induction is used to solve the model and make the optimal decision for the different states. Compared with other control methods from the literature, our numerical results show that the proposed method reduces total energy and waiting costs. The improvement is particularly significant when cloud servers and tasks have higher heterogeneity. This approach provides a comprehensive solution to the challenges of cloud computing, balancing performance and cost efficiency.

关键词： Dynamic dispatching Stochastic process Cloud computing

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Critical Path Identification for Network Signal Coordination control Using Connected Vehicle Data Based on Analytic Hierarchy process Method 18

Critical Path Identification for Network Signal Coordination...

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18th international conference on control automation Robotics and Vision

作者： Yao, Jiarong Tan, Chaopeng Wu, Hao Cao, Yumin Tang, Keshuang Nanyang Technol Univ Sch Elect & Elect Engn Singapore 639798 Singapore Delft Univ Technol Dept Tranport & Planning NL-2628 CN Delft Netherlands Tongji Univ Coll Transportat Engn Shanghai 201804 Peoples R China

ISBN: (纸本)9798331518509;9798331518493

Network signal coordination control is a crucial means to improve the traffic operation efficiency of the overall roadway network. Accurate identification of critical paths does play an important role in determining the scope of network coordination control. Therefore, this paper proposed the definition of critical path from the perspective of traffic control and management. Under the detection environment of connected vehicle (CV), a comprehensive quantitative indicator system for path criticality evaluation from three aspects, supply side, demand side and operation side, which are arranged in the form of a tower structure. A critical path identification method (CPIM) was then proposed based on the analytic hierarchy process (AHP) theory, which was hereinafter referred to as AHP-CPIM. In order to evaluate the feasibility and effectiveness of the proposed method, a case study set in an urban network in Tongxiang, Zhejiang Province in China, is conducted through simulation models built through VISSIM and Synchro. Two scenarios were set, one is coordination control based on the coordination subarea obtained from Synchro (namely without critical path identification), and another one is coordination control with critical paths obtained from AHP-CPIM. Results showed that, compared with the control of Synchro and Multiband method under the scenario of coordination control without critical path identification, network signal coordination control optimization based on AHP-CPIM improved about 37.9% and 35.9% in average delay, respectively, justifying the effectiveness of CV-driven critical path identification for network signal coordination control.

关键词： Hierarchical systems

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automation and control Mechanism for Textile Dyeing process Using PLC and IoT

Automation and Control Mechanism for Textile Dyeing Process ...

引用

2023 international conference on Circuit Power and computing Technologies, ICCPCT 2023

作者： Thangatamilan, M. Suji Prasad, S.J. Sagana, C. Subikshaa, R. Kumar, D. Paveen Shimak, M. Mohammed Kongu Engineering College Electrnoics and Instrumentation Erode India Kongu Engineering College Computer Science Engineering Erode India

ISBN: (纸本)9798350333244

Industrial automation is a developing technology that has a sustainable growth in the modern environment. The industrial automation has several benefits like the lesser involvement of employees in the industry operation, and maintains the process with accuracy and precision. The purpose of the industrial automation project equipped with PLC, minimizes the overall operational cost of the plant operation. Dyeing industry operates on different stages of tedious processes that certainly require factory automation for efficient plant operation. By implementing factory automation systems the one big problem statement of paying wages to the employees at the time of no order period is being eliminated. The PLC is a control unit where all the machinery from the dyeing industry is connected and monitored through IoT. This way of factory automation is implemented by developing a prototype model for automation and control mechanism for the textile dyeing process using PLC and IoT. Dyeing is a process, where the fabric is rolled up in the winch dyeing machine and the gradual transfer of dyes to the fabric under optimum temperature is performed. The major machineries involved in the dyeing process are the winch dyeing machine and the boiler. Winch dyeing machine have a rotating rod that spins when the motor is energized, the feed water and hot water is passed to the winch machine when the solenoid valve is actuated based on the preset value. The work in this paper deals with the process of automated the whole system using PLC. The level of the dyebath in the winch dyeing machine is actively monitored using the level sensor and the real time values are taken to the cloud. This automation benefits the dyeing Industry with precision, accuracy and real time monitoring of plant. © 2023 IEEE.

关键词： Dyeing

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Robotics process automation Technologies for Data Collection and Analysis 15

Robotics Process Automation Technologies for Data Collection...

引用

15th international conference on computing Communication and Networking Technologies, ICCCNT 2024

作者： Usman, K. Hayath, T.M. Shafiulla, Mohammed Dadapeer Ballari Institute of Technology and Management Dept. of Computer Science and Engineering Karnataka Ballari India

ISBN: (纸本)9798350370249

Data collection and analysis are critical aspects of various business processes. However, these tasks can be time-consuming, prone to errors, and delays employee productivity when done manually, especially when we have to deal with huge data. Robotic process automation (RPA) technologies offer a promising solution in form of a BOT, by automating tedious tasks related with data handling. A survey by The Economist corporation believe that automation kick launches digital transformation, robotic process automation (RPA) has evolved from an emerging technology to a must-have digital transformation tool for enterprises to compete globally. An increasing number of companies are now using RPA to automate normal business processes in a non-intrusive and cost-effective way. On the other hand, decision-making, pattern recognition, and many other business-related tasks benefit greatly from the use of big data and analytics. This paper explores the application of RPA in data collection and analysis, examining its functionalities, benefits, and limitations. In practical, Bot produces error-free work and takes 94.44% less time for data collection compared to a manual process, which encourages all firms to adopt to RPA technologies. © 2024 IEEE.

关键词： automation Data collection process Robotics RPA

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Far vs. Near: A Decision Framework for Cloud and Edge Use in the process Industry 22

Far vs. Near: A Decision Framework for Cloud and Edge Use in...

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22nd IEEE international conference on Industrial Informatics, INDIN 2024

作者： Vogt, Lucas Charania, Zohra Urbas, Leon Process-to-Order Lab TU Dresden Dresden Germany Process Control Systems TU Dresden Dresden Germany

ISBN: (纸本)9798331527471

The technology readiness levels of cloud infrastructure and edge devices have increased significantly in recent years. This means that companies now have a growing number of computing environments at their disposal that could be suitable for the computing and control tasks involved in their production processes. Consequently, the need arises to select the best computing environment based on objective criteria and metrics. In order to create the basis for such a decision-making process, first an overview of the definitions and a comparison between edge and cloud environments is provided. Then a decision-making framework is derived that aims to facilitate this selection process. This is accomplished by providing a set of criteria that can be detailed to analyze a given use case. This analysis is then represented in a custom radar chart, which offers decision-makers a compact but meaningful representation of the decision space. Finally, the limits and future potentials of such a decision-making framework are discussed. © 2024 IEEE.

关键词： Cloud platforms

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The Transformative Power of Robotic process automation: Redefining Business in Industry 4.0 14

The Transformative Power of Robotic Process Automation: Rede...

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14th international conference on Cloud computing, Data Science and Engineering, Confluence 2024

作者： Sisodiya, Mohit Prabhu, Sandeep Ashok, P. Pune Maharashtra Lavale India

ISBN: (纸本)9798350344837

This research work aims to analyze and understand the impact of Robotic process automation (RPA) on businesses across various sectors in Industry 4.0 especially during and after the pandemic. Qualitative primary research methods along with the analysis and observations of secondary data have been employed. Inputs from various senior executives and industry experts are taken by conducting personal interviews with different direct, indirect, and scenarios-based questions on the impact of Robotic process automation. The findings reveal that majority of the experts have a positive outlook towards the adoption of RPA by different businesses and it will be a major driving force in building a digital workforce by the organizations. The current study is conducted to study the impact of the adoption of Robotic process automation in limited areas as it is still in its early stages. The implementation of RPA by organizations will lay a robust foundation for Industry 4.0 to function in its optimal capacity by boosting the performance and productivity which will be critical while tackling the financial and resource crunch due to the pandemic. © 2024 IEEE.

关键词： Robotics

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Automated Box Classification in a Virtual Industrial Environment Using Machine Vision Algorithms 12

Automated Box Classification in a Virtual Industrial Environ...

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12th international conference on control Mechatronics and automation

作者： Guacheta-Alba, Juan C. Espitia Cubillos, Anny Astrid Jimenez Moreno, Robinson Univ Fed Rio de Janeiro Mech Engn Program Rio De Janeiro Brazil Univ Mil Nueva Granada Ind Engn Program Bogota Colombia Univ Mil Nueva Granada Mechatron Engn Program Bogota Colombia

ISBN: (纸本)9798331517519;9798331517526

This article presents the development and evaluation of an automated system for box classification based on the detection of some ISO 780:2015 symbols, using a UR5 robotic manipulator and advanced machine vision techniques. The methodology integrates sensors, vision algorithms, and robotics to achieve precise classification. The UR5 manipulator, with six degrees of freedom, was kinematically modeled using DenavitHartenberg parameters, allowing for the calculation of the endeffector's position and orientation. The system employs the Speeded-Up Robust Features (SURF) algorithm for the detection and classification of symbols on the boxes. Simulation results in CoppeliaSim, processed in MATLAB, reveal an average detection time of 55 milliseconds and a recognition rate exceeding 95%, even under varying lighting and orientation conditions. The system demonstrates high precision and flexibility in handling boxes of different sizes and arrangements, validating its efficiency in automated virtual industrial environments.

关键词： Factory Simulation process automation Machine Vision ISO 780:2015 Symbols UR5 Manipulator SURF Algorithm

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