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检索条件"任意字段=International Conference on Advances in Intelligent Control and Computer Engineering"

共 47502 条记录，以下是31-40 订阅

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A Framework for Ontology-Based engineering Systems: advances and Open Questions About Knowledge Capture and Use in Aerospace Manufacturing 5th

A Framework for Ontology-Based Engineering Systems: Advances...

引用

5th international conference on Innovative intelligent Industrial Production and Logistics

作者： Mas, Fernando Arista, Rebeca Skrzek, Murillo Oliva, Manuel Morales-Palma, Domingo Szejka, Anderson Luis Univ Seville Seville Spain Airbus SAS Toulouse France Pontif Catholic Univ Parana PUCPR Curitiba Parana Brazil Airbus Def & Space Seville Spain CT Engn Grp Madrid Spain

ISBN: (纸本)9783031807749;9783031807756

Modern Ontology-Based engineering (OBE) systems, built over the foundations of Knowledge-Based engineering (KBE), leverage ontology-based technologies and the semantic web to capture and formalise knowledge holistically. This comprehensive knowledge repository can subsequently feed design and decision support tools with robust generative features. However, the integration and reuse of knowledge poses challenges for which it is necessary to develop appropriate methods and tools capable of handling diverse types of knowledge from both human experience and databases. The objective of this paper is to discuss the current limitations of OBE systems to address knowledge integration and reuse, based on the research and experiences of the authors in the aerospace manufacturing industry. This aims to provide a set of Research Questions (RQ) and the author's position to them, to serve as future research work and topics of discussion for the scientific community.

关键词： Ontology-Based engineering (OBE) Knowledge-Based engineering (KBE) Models for Manufacturing (MfM) Ontologies

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HRIxD: End-Effector Specialised in Drumming for Performing Robots 20

HRIxD: End-Effector Specialised in Drumming for Performing R...

引用

20th Annual ACM/IEEE international conference on Human-Robot Interaction, HRI 2025

作者： Shaik, Khaja Ahmed Sandoval, Eduardo Benitez Xie, Shengyuan Cruz, Francisco School of Mechanical and Manufacturing Engineering University of New South Wales Sydney Australia School of Art and Design University of New South Wales Sydney Australia School of Computer Science and Engineering University of New South Wales Sydney Australia Universidad Central de Chile Escuela de Ingeniería Santiago Chile

ISBN: (纸本)9798350378931

Human-robot interaction encompasses various applications, from simple tasks to advanced complex functionalities. This research introduces a specialised robotics end effector specially modelled with auditory processing for drumming along-side humans. This system interprets auditory vocal input to generate precise and adaptive drumming patterns. Utilising precision motor control and real-time signal processing to replicate drumming with human-like characteristics with precision. This work demonstrates collaboration between performing arts and robotics, demonstrating the potential of intelligent systems to interact with human creativity in real-time. The specialised end effector utilises precise motor control with motor drivers and a belt mechanism to regulate the speed and direction of the drumstick, enabling rapid, high-speed strokes to strike the drum 4 to 5 times per second. By integrating audio perception with mechanical execution, this research advances the state of the art and establishes a new framework for incorporating robotics into the creative and artistic domain. © 2025 IEEE.

关键词： Machine design

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Research on Sensitive Content and File Security Detection Platform

Research on Sensitive Content and File Security Detection Pl...

引用

2024 international conference on Mechatronics and intelligent control, ICMIC 2024

作者： Wang, Chen Zhang, Lipeng Liu, Qingjie Teng, Yuntian Institute of Geophysics China Earthquake Administration Beijing China School of Information Engineering Institute of Disaster Prevention Hebei Sanhe China

ISBN: (数字)9781510686847

ISBN: (纸本)9781510686830

Because the detection of malicious files is not yet popular, there are often various "backdoors" for files on most forums. For Internet users who publish other people's privacy, bad comments or pictures in cyberspace, and upload and download malicious files in various forums and communities, this paper proposes that through the use of naive Bayesian algorithm and AC computer algorithm, we can quickly and accurately identify malicious content in text, pictures, and software. Through the secondary development of API, we can monitor hundreds of millions of data in real-time, It greatly alleviates the problem of detecting malicious files in the current environment. © 2025 SPIE.

关键词： Document security Malicious files Naive Bayes AC algorithm

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Research on intelligent Voice Broadcast System for Smart Water Conservancy 19

Research on Intelligent Voice Broadcast System for Smart Wat...

引用

19th international conference on Ubiquitous Information Management and Communication, IMCOM 2025

作者： Huang, Zhenqian Chen, Lanxin College of Computer Science and Software Engineering Hohai University Nanjing China University of Birmingham Birmingham United Kingdom

ISBN: (纸本)9798331507817

Smart water management imposes higher demands on the real-time capabilities and intelligence of watershed information monitoring systems. Therefore, we propose an intelligent voice broadcast system for monitoring water information, aimed at achieving efficient and accurate dissemination of warning information. This system can be deployed and integrated into existing water information monitoring systems to enable real-time voice broadcasting of water-related information. To ensure the system’s timeliness and effectiveness, we propose a Performance Optimization Mechanism for Data Processing, Priority control for voice broadcasting, a Content Optimization Mechanism, and a Timeliness control Mechanism. Comparative experiments demonstrate that the proposed intelligent voice broadcast system significantly enhance the efficiency and accuracy of water information dissemination, providing an innovative solution for real-time monitoring and early warning in water management. © 2025 IEEE.

关键词： Information management

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Research on Indoor Target Ranging Based on Improved Yolov5

Research on Indoor Target Ranging Based on Improved Yolov5

引用

2024 international conference on Mechatronics and intelligent control, ICMIC 2024

作者： Wang, Ting Tan, Bin School of Civil Engineering and Architecture Nanchang Hangkong University Nanchang330063 China

ISBN: (数字)9781510686847

ISBN: (纸本)9781510686830

Visual object detection and ranging is a technology that uses computer vision technology to detect and distance target objects in images or videos. This technology plays an important role in the field of industrial automation. In this paper, based on the improved yolov5 algorithm, the adaptive receptive field convolution module is introduced in target detection, and the triangulation principle in the traditional method is used to achieve target detection and ranging, so as to achieve more accurate target detection and improve ranging accuracy. The accuracy of the system can be verified by many experiments. The experimental results show that the ranging error of the system is less than 5% in the range of 0.2~1m. © 2025 SPIE.

关键词： Machine vision

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Aerodynamic Design of Ultra-High Load Axial Flow Compressor

Aerodynamic Design of Ultra-High Load Axial Flow Compressor

引用

2024 international conference on Mechatronics and intelligent control, ICMIC 2024

作者： Wu, Minyi Zhou, Zhenggui College of Energy and Power Engineering Nanjing University of Aeronautics and Astronautics China

ISBN: (数字)9781510686847

ISBN: (纸本)9781510686830

In this paper, the use of a negative air outlet Angle superbending diffuser blade, the compressor rotor blade design, to achieve the given pressure ratio, flow, compressor ultra-high load, ultra-low speed design. In this paper, the design load coefficient of 1.7771, much higher than the conventional load coefficient 0.4;In the process of two-dimensional blade design, the automatic optimization design method is adopted. computer numerical simulation results show that the designed compressor stage can reach the given design point flow rate and pressure ratio, and has a high stage efficiency;And because the rear section of the rotor blade channel convergence is not easy to produce flow separation, it has a large surge margin. © 2025 SPIE.

关键词： Axial-flow compressors

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Feedback control Based on Trust for Varied Automation Transparency 1

Feedback Control Based on Trust for Varied Automation Transp...

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1st international conference on advances in computer Science, Electrical, Electronics, and Communication Technologies, CE2CT 2025

作者： Dbritto, Ceres Lopes, Joel Bandyopadhyay, Krishnan Banerji, Nandan Mishra, Ishani Kandpal, Ankit St Louis United States Redmond United States Dayananda Sagar College of Engineering Department of Medical Electronics Engineering Karnataka Bengaluru India Sikkim Manipal Institute of Technology Sikkim Manipal University Department of Computer Science and Engineering Sikkim India New Horizon college of Engineering Department of Computer Science and Engineering Karnataka Bengaluru560103 India Bipin Tripathi Kumaon Institute of Technology Department of ECE Almora Dwarahat India

ISBN: (纸本)9798331518578

Interactions between people and automation depend heavily on human confidence in the latter. Lack of trust can cause people to not use automation, while too much trust can cause them to put their faith in a flawed autonomous system, which could have detrimental effects on them. Transparency and trust in automation are vital for the usefulness and security of human-robotization frameworks. The majority of the research that has been done on the trust that human operators have in robotics and automation has been an ongoing variable that has received little attention. paid to how trust changes over time. In order to fill this research void, we offer a study that examines how trust is dynamic. Using real-time trust measurements, we first discovered options to quantify trust of entirety, which we described as a metric that considers trust throughout the entire human-automation interaction experience. In this study, a feedback control strategy for powerfully changing mechanization straightforwardness and transparency concurring on client trust is analysed. The proposed approach tweaks mechanical way of behaving and correspondence by incorporating an input control component with a trust assessment model. The adequacy of the feedback control framework in improving errand execution and trust adjustment under different levels of computerization straightforwardness and transparency is checked utilizing MATLAB reenactments. © 2025 IEEE.

关键词： Human robot interaction

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An Efficient Distributed Dispatching Vehicles Protocol for Intersection Traffic control 28th

An Efficient Distributed Dispatching Vehicles Protocol for I...

引用

28th international conference on engineering of Complex computer Systems (ICECCS)

作者： Qi, Fang Wang, Rui Guan, Yong Song, Xiaoyu Capital Normal Univ Informat Engn Coll Beijing Peoples R China Portland State Univ ECE Dept Portland OR 97207 USA

ISBN: (纸本)9783031664557;9783031664564

Passing the intersection is a crucial traffic scenario in urban traffic network. Rapid development of vehicle technologies makes vehicles cross the intersection more efficiently. In this paper, we propose a protocol where vehicles can pass the intersection safely and efficiently at a 6-lane dual carriageway. To ensure the safety of the protocol, we formally model the protocol and verify some necessary properties using the tool Uppaal. To evaluate the performance of our protocol, we conduct extensive experiments. After analyzing experimental data, the average rate of time reduction in a circle is over 92%. The results demonstrate that our protocol is both efficient and effective.

关键词： urban traffic network intersection dispatch vehicles formal methods Uppaal

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Research on the Construction Method of Production Equipment Operation Management and control Information Model Based on Knowledge Graph 5th

Research on the Construction Method of Production Equipment ...

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5th international conference on Innovative intelligent Industrial Production and Logistics

作者： Li, Jun Dou, Keqin Liu, Jinsong Xu, Shunyi Li, Qing Zhou, Yong China Ind Control Syst Cyber Emergency Response T Beijing 100040 Peoples R China Tsinghua Univ Dept Automat Beijing 100084 Peoples R China Univ Chinese Acad Sci Beijing 100049 Peoples R China

ISBN: (纸本)9783031807749;9783031807756

To address the issues of multi-source heterogeneous information, numerous relationships, and complex interaction logic in production equipment operation management and control (PEOMC) activities. This study proposes a combined approach of "forward engineering + reverse engineering" to construct a general information reference model for PEOMC based on knowledge graph. The forward engineering involves analyzing the information resources related to PEOMC functions to design an information meta-model. The reverse engineering involves mining, analyzing, and refining multi-source and heterogeneous PEOMC engineering practice data. Guided by the information meta-model, a knowledge graph is constructed. By mapping and transforming entities, attributes, and relationships from the knowledge graph to the information model, a general information reference model for PEOMC is established. Finally, taking the information model construction of the predictive maintenance scenario in an aero-engine transmission unit manufacturing workshop as an example, the effectiveness and scientific validity of the method proposed in this study are verified.

关键词： Production equipment operation management and control Information meta-model Knowledge graph Information model

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Machine Learning-Enhanced Voice Interaction: Revolutionizing Windows Desktop Applications 1

Machine Learning-Enhanced Voice Interaction: Revolutionizing...

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1st international conference on advances in computer Science, Electrical, Electronics, and Communication Technologies, CE2CT 2025

作者： Vora, Raj Chakrawarti, Rajesh Kumar Raghuwanshi, Namrata Sushila Devi Bansal College of Technology Computer Science and Engineering Indore India

ISBN: (纸本)9798331518578

The use of voice interaction is changing the way human being communicate with devices as it offers a simple and effective way of interaction. To implement voice interaction within desktop applications and make it more effective as it is integrated with the operating system, there is a various need models, to particularly improve Convolutional its neural quality. Networks This (CNNs), paper Recurrent considers Neural how Networks (RNNs), and transformers, can enhance the effectiveness of voice interaction in the context of Windows desktop platforms. The research focuses on several major issues: enhancing the speech recognition performance in the presence of background noise, handling the differences in user's accent and speech manner, and real-time operation with reduced delay. It also examines issues of privacy relating to handling of sensitive voice information and ways of reducing these vulnerabilities. Using and enhanced user machine intent learning and results operating encompass connecting detection strategies, the indicate system the in this user's and that voice possibility developing voice research experience provides the interaction the of recognition in is an application with next increasing systems. Different designed better of other these generation the practical user to machine current models of multilingual applications experience. Improve learning and are desktop capabilities, including the enhances future assessed apps. Implementing productivity current The AI from the tools, limited paper effectiveness solutions, the ability accessibility capabilities also and thus perspective to features of provides quality stating of recognize and contextual recommendations of that performance, users' intelligent understanding for voice flexibility emotions, assistants. Future control is and the research, commands the which on key them to Windows. © 2025 IEEE.

关键词： Speech recognition

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