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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81-90 订阅

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Sensitivity Analysis of a Mathematical Model Representing the Female Endocrine Cycle 11

Sensitivity Analysis of a Mathematical Model Representing th...

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11th Vienna international conference on Mathematical Modelling, MATHMOD 2025

作者： Horvath, Clara Kohlmayer, Marie-Sophie Körner, Andreas Institute of Analysis and Scientific Computing TU Wien Wiedner Hauptstraße 8-10 Vienna1040 Austria

This paper presents an extensive global sensitivity analysis of a mathematical model describing the female endocrine cycle. The model, based on a system of differential equations, captures the dynamics of Luteinizing Hormone, Follicle-Stimulating Hormone, Estrogen, and Progesterone, along with their regulatory feedback mechanisms. We employed three complementary methods-Latin Hypercube Sampling, Partial Rank Correlation Coefficient, and extended Fourier Amplitude Sensitivity Test-to analyze both linear and non-linear parameter-output relationships. The extended Fourier Amplitude Sensitivity Test method, in particular, revealed non-monotonic and non-linear interactions between input and output, highlighting the complexity of the hypothalamus-pituitary-ovary axis. Our findings offer significant insights for future model refinement and pave mathematical ways towards better understanding of the female endocrine cycle and potential clinical applications, especially in the diagnosis and treatment of reproductive disorders. Copyright © 2025 The Authors.

关键词： Sensitivity analysis

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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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Insight-driven Optimization to Improve Dynamic Scheduling for Flexible Job-shops 11

Insight-driven Optimization to Improve Dynamic Scheduling fo...

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11th Vienna international conference on Mathematical Modelling, MATHMOD 2025

作者： Körner, Andreas Pasterk, Daniel Stadler, Florian Zeh, Christine Institute of Analysis and Scientific Computing TU Wien Wiedner Hauptstraße 8-10 Vienna1040 Austria

Planning and scheduling problems can be challenging to manage, and the related optimization problem is often too complex to solve in real-Time. The typical approach to address this issue is to apply heuristic policies, which perform reasonably well. Machine learning algorithms can be used to replace heuristics, but this raises the issue of obtaining unexplainable solutions. The application of reinforcement learning with policy extraction technique can help produce explainable results to improve the dynamic system of the planning and scheduling problem. As a case study, we use the simulation model of a dynamic flexible job shop to learn a solution strategy for the associated scheduling problem with deep reinforcement learning. Based on this, we were able to extract a decision tree that is superior to classical dispatching heuristics for a wide variety of scenarios. It also provides valuable information about the criteria for decision-making. Here we offer a new approach to analyzing and solving these problems-leading to an improvement in dynamic systems. Copyright © 2025 The Authors.

关键词： Adversarial machine learning

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"Schedule" System for Universities Under the Bologna Education process 2nd

"Schedule" System for Universities Under the Bologna Educati...

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2nd international conference on Information Technologies and Their Applications

作者： Mammadova, Gulchohra Ismibayli, Reshad Rzayeva, Sona Univ Architecture & Construct Baku Azerbaijan Inst Control Syst Baku Azerbaijan

ISBN: (纸本)9783031734199;9783031734205

The accession of universities to the Bologna education system requires new approaches to the organization of the educational process, including the need to develop a timetable of classes with new criteria. The article provides a comparative analysis of the traditional education system and the education system based on the credit-module system. The Bologna model takes into account an important feature of the credit system, namely, the individual organization of the educational process, which provides students with the opportunity to draw up individual curricula, freely determine the sequence of studying disciplines, independently draw up a personal semester schedule of classes, and select teachers in academic subjects. An approach to scheduling is presented, consisting of two levels: teacher schedules and individual schedules for each student are formed. Each type of schedule has its own "hard" restrictions and "soft" requirements. The developed software is based on dialogue between the user and the system, combining automation of the functions of assigning classes, monitoring restrictions and requirements, and monitoring the process of assigning classrooms, with the ability of the program user to influence the progress of scheduling, including to improve its efficiency. The result of the program is two schedules: individual schedules of teachers and all subgroups, including students enrolled in them, meeting all the "hard" restrictions and, to the maximum extent possible, "soft" requirements for the class schedule.

关键词： Bologna process class schedule credit system asynchronous learning system restrictions and requirements for the schedule interactive mode

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RFID based Smart Trolley Billing System using IoT

RFID based Smart Trolley Billing System using IoT

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international conference on ent computing and control Systems (ICICCS)

作者： Manikandan S Harish Murugan A Kamal S Udhayakumar S Yokesh D Department of ETE Karpagam College of Engineering Coimbatore India

ISBN: (数字)9798331512088

ISBN: (纸本)9798331512095

Customers expect to experience better retail interactions while operations become more efficient in the modernizing retail industry. Shopping through traditional methods requires lengthy manual scanning for products and billing operations leading retailers to require automation solutions for streamlining these processes. It is not bad thing to mention about but why going a lengthy process when technology is all we have implement to make it better with a help of designed system. This system consists of RFID detection alongside 8051 microcontroller processing and load cells monitoring and uses IoT communications and relay controls to power an intelligent automated shopping cart. Real-time data tracking functions alongside cloud service readiness to deliver advanced monitoring and management capabilities as the system's standout feature. A Smart Trolley consumes RFID technology to recognize products that go inside the cart through unique product tags linked with RFID. Product details that the 8051 microcontroller retrieves are displayed through an LCD screen interface. The system delivers automated operations together with precise product tracking along with weight measurement functionality and billing support. Data transmission to the cloud enables distant storage functions along with distant system monitoring that produces meaningful information about trolley utilization while bolstering inventory handling capabilities. The system allows product tracking and billing automation and IoT integration for data management which enables its deployment into multiple retail settings to deliver enhanced customer service alongside operational efficiency. It is an attempt to make the shopping experience lighter and making the automation process a part of the shopping Eco system and to interpreted much more easily than with the trouble of going through all lengthy billing process by also ensuring the safety and security of the purchased product and also to neglect the idea of the

关键词： Weight measurement Cloud computing automation Microcontrollers Smart cities Real-time systems Security Monitoring Radiofrequency identification Ultra wideband technology

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Robotic process automation Activity Recommendation using NLP Techniques

Robotic Process Automation Activity Recommendation using NLP...

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Advanced Research in computing (ICARC), international conference on

作者： Tharindu Herath Dinesh Asanka Department of Industrial Management University of Kelaniya Dalugama Sri Lanka

ISBN: (数字)9798331530983

ISBN: (纸本)9798331530990

The integration of Natural Language processing (NLP) into Robotic process automation (RPA) has revolutionized the automation of complex business processes by addressing challenges such as interpreting unstructured data and reducing human intervention. This research focuses on enhancing RPA systems by developing NLP models to recommend UiPath activities based on textual process descriptions. Leveraging pre-trained transformer models, including BERT, DistilBERT, TinyBERT, and ALBERT, fine-tuned on a structured and diverse dataset, the study incorporates linguistic variability to improve generalization. A robust evaluation framework based on precision, recall, and F1-score underscores the performance of these models. Key contributions include the creation of high-accuracy NLP models, a comprehensive evaluation methodology, and a representative dataset designed for UiPath activity recommendation. The findings highlight NLP's potential to streamline automation workflows, reduce manual effort, and enhance scalability, ultimately bridging the gap between unstructured text and automation tasks, and laying the groundwork for advanced, autonomous RPA systems.

关键词： Intelligent automation Scalability Computational modeling Manuals Linguistics Transformers Natural language processing Optimization Business

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Research and Application of Automatic Tobacco Baking System Based on Multi-Source Fusion

Research and Application of Automatic Tobacco Baking System ...

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Electrical automation and Artificial Intelligence (ICEAAI), international conference on

作者： Shuwei Chen Shuai Shi Shandong Youren Intelligent Technology Co. Ltd Jinan Shandong Province China

ISBN: (数字)9798331506797

ISBN: (纸本)9798331506803

With the rapid growth of tobacco market demand and the gradual aging of traditional roasting technology, automated tobacco roasting system has become an important means to improve production efficiency and guarantee tobacco quality. In this study, an automated tobacco roasting system based on multi-source data fusion is designed to collect environmental parameters such as temperature, humidity and airflow in the roasting process in real time through IoT devices and edge computing, and combine with deep learning and fuzzy control algorithms to achieve accurate regulation of the roasting curve. The system adopts a modular structure, including a data acquisition and monitoring module, an intelligent algorithm processing unit and a feedback control system, to ensure the efficient and stable operation of the roasting process. In the experimental process, through the comparison and verification of the automated process and traditional process, it is found that the automated system shows significant advantages in the proportion of top-grade tobacco, unit cost and error rate control: the proportion of top-grade tobacco is increased to 50.12%, the unit cost is reduced by 29%, and the error rate is reduced to 0.23%. The system not only greatly improves the appearance quality and market competitiveness of tobacco, but also realises the dynamic adaptation to different varieties of tobacco, providing theoretical basis and practical support for the intelligent development of the tobacco industry.

关键词： Deep learning Temperature distribution Costs Error analysis process control Production Regulation Real-time systems Temperature control Monitoring

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21st international Colloquium on Theoretical Aspects of computing, ICTAC 2024

21st International Colloquium on Theoretical Aspects of Comp...

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21st international Colloquium on Theoretical Aspects of computing, ICTAC 2024

ISBN: (纸本)9783031770180

The proceedings contain 22 papers. The special focus in this conference is on Theoretical Aspects of computing. The topics include: Well-Behaved (Co)algebraic Semantics of Regular Expressions in Dafny;jump Complexity of Deterministic Finite Automata with Translucent Letters;learning Closed Signal Flow Graphs;dual Adjunction Between Ω-Automata and Wilke Algebra Quotients;on Concurrent Program Algebra and Demonic Automata;bisimulations and Logics for Higher-Dimensional Automata;maximizing Weighted Dominance in the Plane;generalized Parikh Matrices for Tracking Subsequence Occurrences;card-Based Protocols with Single-Card Encoding;winning Strategy Templates for Stochastic Parity Games Towards Permissive and Resilient control;disconnection Rules are Complete for Chemical Reactions;verification with Common Knowledge of Rationality for Graph Games;reversibility in process Calculi with Nondeterminism and Probabilities;a Theory of Proc-Omata—and Proof Methods for process Architectures;Formal Foundations for Efficient Simulation of MOM Systems: The Refinement Calculus for Object-Oriented Event-Graphs;type Safety for Isabelle/Solidity;history-Based Reasoning About Behavioral Subtyping;switched Systems in Coq for Modeling Periodic controllers;A Quantum-Inspired Mechanical Method for Proving of Ramsey’s Theorem by Symbolic Computation over the Finite Field GF(2);runtime Enforcement with Event Reordering.

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Safe Reinforcement Learning for Social Motor Coordination in Two Dimensional Space 26

Safe Reinforcement Learning for Social Motor Coordination in...

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26th international conference on Industrial Technology, ICIT 2025

作者： Yang, Fan Huang, Yuening Zhai, Chao Zhang, Hehong China University of Geosciences School of Automation Wuhan Campus China Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems China Engineering Research Center of Intelligent Technology for Geo-Exploration Ministry of Education Wuhan China Rice University George R. Brown School of Engineering and Computing HoustonTX United States Fuzhou University School of Computer and Data Science Fuzhou China

ISBN: (纸本)9798331521950

This paper presents an interactive motion control method based on reinforcement learning, designed to assist children with autism who have social motor impairments through a mirror game intervention. The virtual teacher uses the Deep Deterministic Policy Gradient (DDPG) algorithm to optimize its actions, guiding the participant to follow a Lissajous trajectory. To ensure safety, a motion-correction mechanism was developed, which automatically adjusts actions when the predicted trajectory surpasses predefined safety boundaries. The reward function considers both the distance between the virtual teacher and the target trajectory, as well as the distance between the virtual teacher and the participant, with dynamic adjustments applied by the motion-correction mechanism. Experimental results demonstrate that the virtual teacher effectively guides the participant towards the target trajectory while adhering to safety constraints. © 2025 IEEE.

关键词： Reinforcement learning

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Implementation of Key Cloud Secure Access for Residential Buildings

Implementation of Key Cloud Secure Access for Residential Bu...

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Advancements in Electrical, Electronics, Communication, computing and automation (ICAECA), international conference on

作者： J. Dhanasekar M. Ishwarya Niranjana C. U. Arun Jaya Pathi M. Arunprakash S. C. Aravinth Raja E. Harshavaradhan Department of ECE Sri Eshwar College of Engineering Coimbatore

ISBN: (数字)9798331525439

ISBN: (纸本)9798331525446

A secure cloud-based system for access control in rental property is offered making use of an ESP32 microcontroller. The system generates and sends keys to users e-mail in order to allow the safe retrieval of such unique digital keys by that user. Upon getting his key, a password entered using a matrix keypad is shown to the user on an LCD for confirmation. The system throws open a solenoid lock for easy access after authenticating the password. Every activity of the users recorded in an IoT-based cloud platform, including access events, will be monitored in real-time for security enhancement. Since there is insecurity and lack of secured entry, individuals who rent are reaching harder to use manual or not secure entry ways of entering these rented premises, hence indicating the necessity of an automated and safe alternative for entry. This reduces the chances of unauthorized entry as offered by cloud-based communication in combination with local hardware control, and therefore only the legitimate users access the opportunity of entry. The access control can be remotely monitored and monitored by the landlords and owners of the property. This is as transparent, scalable as well as efficient solution. The automation process maximizes efficiency in operations and security through the elimination of human error and interaction. This method proves to be an excellent fit for modern rental management, as it has emerged to become one of the best ways to supply housing estates with safe, reliable, and real-time access control.

关键词： automation Microcontrollers Scalability Passwords Manuals Real-time systems Telecommunication computing Reliability Solenoids Monitoring

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