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检索条件"任意字段=Scientific Conference on Mechatronics Engineering and Computer Science"

共 38324 条记录，以下是851-860 订阅

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Straight lane line detection based on the Otsu-Canny algorithm 6

Straight lane line detection based on the Otsu-Canny algorit...

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6th IEEE Information Technology and mechatronics engineering conference, ITOEC 2022

作者： Wang, Yongliang Shi, Lanting Lausanne, Juba Zhong, DIngjiang Tianjin University of Technology and Education Tianjin China Tianjin University of Technology and Education Tianjin China School of Automation and Electrical Engineering China

ISBN: (纸本)9781665431859

Lane line detection plays a guiding role in the safe driving of vehicles. A lane line detection algorithm is designed to improve the accuracy of the lane line detection system: First of all, precondition the road image. The preprocessing consists of the following algorithms: image grayscale processing, histogram equalization, median filtering, and Canny edge detection. Secondly, extract the region of interest (ROI) of the picture. Finally, realize the fitting of lane line through Hough transform. In this paper, use the Otsu algorithm to realize the threshold adaptation of the Canny algorithm. Then the lane line recognition is completed by Canny edge extraction and Hough transform. © 2022 IEEE.

关键词： Hough transforms

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On the Roles of Competency Questions in Ontology engineering 24th

On the Roles of Competency Questions in Ontology Engineer...

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24th International conference on Knowledge engineering and Knowledge Management, EKAW 2024

作者： Keet, C. Maria Khan, Zubeida Casmod Department of Computer Science University of Cape Town Cape Town South Africa Council for Scientific and Industrial Research Pretoria South Africa

ISBN: (纸本)9783031777912

Competency Questions (CQs) are not merely intended for scoping the prospective content of an ontology and as information-seeking queries posed over an ontology, but serve manifold purposes in the ontology engineering processes. This position paper argues that CQs should be viewed as complex acts with underlying motivations beyond just eliciting facts. We explore the concept of questions in general, drawing on philosophical and logical perspectives to highlight the complexity of questions and how they function beyond information seeking. This understanding is applied to CQs for ontologies, revealing how they can serve various purposes in ontology development, such as knowledge acquisition, knowledge organisation, and validation. The paper also introduces the notion of types of CQs for ontology engineering and a first taxonomy of CQ types. Having identified different types of CQs, it may assist research into devising more specific methods and tools to support the development of CQs—be it manual authoring or automating it—and their use at various stages and tasks in ontology engineering, as well as contribute to a notion of quality of a CQ. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

关键词： Ontology

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Speech Emotion Recognition: A Brief Review of Multi-modal Multi-task Learning Approaches

Speech Emotion Recognition: A Brief Review of Multi-modal Mu...

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International conference on Advanced engineering Theory and Applications, AETA 2022

作者： Pham, Nhat Truong Tran, Anh-Tuan Pham, Bich Ngoc Hong Dang-Ngoc, Hanh Nguyen, Sy Dzung Dang, Duc Ngoc Minh Division of Computational Mechatronics Institute for Computational Science Ton Duc Thang University Ho Chi Minh City Viet Nam Faculty of Electrical and Electronics Engineering Ton Duc Thang University Ho Chi Minh City Viet Nam Faculty of Information Technology Ho Chi Minh City Open University Ho Chi Minh City Viet Nam Department of Telecommunications Engineering Ho Chi Minh City University of Technology Ho Chi Minh City Viet Nam Laboratory for Computational Mechatronics Institute for Computational Science and Artificial Intelligence Van Lang University Ho Chi Minh City Viet Nam Faculty of Mechanical–Electrical and Computer Engineering Van Lang University Ho Chi Minh City Viet Nam Computing Fundamental Department FPT University Ho Chi Minh Viet Nam

ISBN: (纸本)9789819987023

Speech emotion recognition (SER) has become an attention-grabbing topic in recent years thanks to the development of deep learning in the field of speech processing. However, it is difficult to recognize an accurate emotional state from only speech signals. Therefore, researchers have investigated multi-modalities such as speech, visual, and text inputs to improve the emotional recognition rate of speech. In addition, to enhance the generalized deep learning models for SER, multi-task learning (MTL) strategies have also been applied in the past decade. In this paper, a brief and comprehensive review of multi-modal multi-task learning (3MTL) approaches for recognizing emotional states from speech signals is presented, including multi-modal SER, multi-task learning SER, and multi-modal multi-task learning SER. This paper also discusses about some problems that still need to be solved in 3MTL SER and gives some suggestions for the future. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

关键词： Emotion Recognition

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Analysis of engineering Curriculums regarding Entrepreneurial Competencies 3

Analysis of Engineering Curriculums regarding Entrepreneuria...

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3rd International conference on Innovative Research in Applied science, engineering and Technology, IRASET 2023

作者： Biskupic, Ivana Ogrizek Cafuta, Brigitta Lopatic, Josip Algebra University College Zagreb Croatia Zagreb University of Applied Sciences Zagreb Croatia University of Applied Sciences Velika Velika Gorica Croatia

ISBN: (纸本)9798350398366

In recent years, entrepreneurship has become an important topic in all business areas, and entrepreneurial knowledge and skills have reached higher social context that has consequently become integrated into educational programmes. Many higher education institutions revise their study programmes by integrating entrepreneurship courses and topics into curricula, but mostly at the institutional level without any specific guidelines or recommendations. The curricula could be analysed according to the entrepreneurial topics and subjects integrated in the engineering study programmes, which in some study programmes are sufficient, while in others there are minimal or none. Hence, caused by the practice of non-uniformity, and sometimes even absolute absence of entrepreneurial subjects, authors were focused on the students of various engineering studies through the research framework set for testing the student self-assessment on entrepreneurial knowledge, their motivation for acquiring it, and comparation of their entrepreneurial knowledge with the initial self-assessment. The research was conducted on a sample of N: 543 students with four hypotheses, at the University of Applied sciences Zagreb (CROQF/EQF level 6 and 7) on the six engineering study programmes in the field of civil engineering, mechanical engineering - mechatronics, electrical engineering, forensics, computer science and graphic design. © 2023 IEEE.

关键词： Curricula

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Design of a Capsule Robot System for Gastric Hemorrhage Detection using Luminol 20

Design of a Capsule Robot System for Gastric Hemorrhage Dete...

引用

20th IEEE International conference on mechatronics and Automation, ICMA 2023

作者： Mao, Yuchen Guo, Jian Guo, Shuxiang Fu, Qiang Tianjin University of Technology Tianjin Key Laboratory for Control Theory & Application Complicated Systems Intelligent Robot Laboratory School of Electrical Engineering and Automation Binshui Xidao Extension 391 Tianjin300384 China Shenzhen Institute of Advanced Biomedical Robot Co. Ltd No.12 Ganli Sixth Road Jihua Street Longgang District Shenzhen518100 China Key Laboratory of Convergence Medical Engineering System and Healthcare Technology The Ministry of Industry and Information Technology School of Life Science Beijing Institute of Technology No.5 Zhongguancun South Street Beijing100081 China

ISBN: (纸本)9798350320831

Gastric hemorrhage in upper gastrointestinal bleeding is an obvious indicator of deteriorating gastric disease. This paper proposes a capsule robot system for detecting bleeding in the stomach. The patient ingests a capsule robot containing luminol reagent, which detects bleeding in the stomach via chemiluminescence. The MCU receives the optical sensor signal, and the data is transmitted via radio frequency. The external lower computer receives and forwards the data to the upper computer for processing and display. The data is used to determine the presence and amount of stomach bleeding. Chemiluminescence is an excellent sensor, requiring no external energy supply, and demonstrating excellent sensitivity and selectivity. Combining chemical and electronic sensors presents opportunities for further development. Capsule robot detection reduces the discomfort and risk of secondary injury associated with traditional endoscopy. This paper establishes an experimental platform using porcine blood to simulate human blood, demonstrating the feasibility of the system. © 2023 IEEE.

关键词： Chemiluminescence

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Development of an Intelligent Dashboard for Surveillance in Online Learning Platform via Internet of Things Technology 6

Development of an Intelligent Dashboard for Surveillance in ...

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6th International conference on Power, Energy and Innovations, ICPEI 2024

作者： Kaewudorn, Thiti Chamniprasart, Kontorn Srisertpol, Jiraphon Poochaya, Settawit School of Mechatronics Engineering Suranaree University of Technology NakhonRatchasima Muang Thailand School of Telecommunication Engineering Suranaree University of Technology NakhonRatchasima Muang Thailand

ISBN: (纸本)9798350356779

COVID-19 pandemic situation made educational institutions worldwide shift towards online learning formats to minimize the spread of the virus. The content of online learning includes file, text, images, audio, and video, delivered directly to learners through web browsers. Both learners and instructors can communicate, collaborate, and exchange ideas similar to traditional classrooms. Online learning networks gain significant popularity in recent times, utilizing large-scale computer network technologies. Online learning offers convenience and rapid accessibility, allowing learners to study anytime and anywhere, according to their preferences. Also, large-scale computer networks require a high reliability network with zero downtimes. Thus, this work presents an environment monitoring and controlling system via internet of things technology for SUT E-Learning system which was developed by the Suranaree University of Technology (SUT). Number of session, %CPU usage, Current, Temperature and humidity inside server room were investigated. The proposed system improves convenience for system control engineers to maintain an online learning system with low zero downtime. © 2024 IEEE.

关键词： Economic and social effects

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Design and Implementation of a STEAM Robotics Lesson on the Spotted Lanternfly: engineering a computer science Solution 14

Design and Implementation of a STEAM Robotics Lesson on the ...

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14th IEEE Integrated STEM Education conference, ISEC 2024

作者： Douglass, Esther Cannella, Alaina Herbert, Katherine G. Anu, Vaibhav Hagiwara, Sumi Marlowe, Thomas Robila, Stefan

ISBN: (纸本)9798350352801

Introducing middle school students to STEAM projects can foster an interest in computer science and engineering solutions. These projects provide hands-on experiences that may encourage students to explore careers in science, technology, engineering, art, and mathematics. Engaging students in real-world problems can help them develop critical thinking skills and generate innovative ideas. STEAM projects can also spark students' curiosity and creativity. This paper will explore developing and implementing a STEAM lesson to introduce students to the engineering and design process and computational thinking. Moreover, this project also addresses a major environmental concern currently in New Jersey, specifically the destruction of the environment by the spotted lanternfly. Therefore, students are also applying skills in civil duty and environmental awareness as a part of their design and plan to eradicate this invasive species. © 2024 IEEE.

关键词： Students

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The Missing Linkage Between science Technology and Innovation Policy and the scientific Workforce—Evidence from Colombia 19th

The Missing Linkage Between Science Technology and Innovatio...

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19th International conference on Wisdom, Well-Being, Win-Win, iconference 2024

作者： Cortés, Julián D. Ramírez-Cajiao, María Catalina School of Management and Business Universidad del Rosario Bogotá Colombia Engineering School Universidad de Los Andes Bogotá Colombia

ISBN: (纸本)9783031578496

STIP (science, technology, and innovation policy/es) strive to give direction and incentives to the formation and specialization of the scientific workforce. How to draw the linkage between both factors of the national STI system? Here we explore the correlation between highly strategic research areas/fields supported by STIP and the scientific workforce of Colombia from 2013 to 2021. We used a dataset of 225 research funding calls and a sample of 28,000 + scientist profiles. We found no statistically significant correlation between both variables. Our discussion orbited around government STIP transitions, STIP models, and STIP timing of implementation. Our contribution lies in proposing a standardized and replicable diagnosis to identify strategic research areas/fields supported by STIP to the absent literature on STIP-scientific workforce relationship in the contexts of middle and low-income countries. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.

关键词： engineering research

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RL-Based Control of UAS Subject to Significant Disturbance

RL-Based Control of UAS Subject to Significant Disturbance

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2025 International conference on Unmanned Aircraft Systems, ICUAS 2025

作者： Chakraborty, Kousheek Hof, Thijs Alharbat, Ayham Mersha, Abeje Saxion University of Applied Science Smart Mechatronics and Robotics research group Enschede Netherlands University of Twente Robotics and Mechatronics research group Faculty of Electrical Engineering Mathematics & Computer Science Enschede Netherlands

ISBN: (纸本)9798331513283

This paper proposes a Reinforcement Learning (RL)-based control framework for position and attitude control of an Unmanned Aerial System (UAS) subjected to significant disturbance that can be associated with an uncertain trigger signal. The proposed method learns the relationship between the trigger signal and disturbance force, enabling the system to anticipate and counteract the impending disturbances before they occur. We train and evaluate three policies: a baseline policy trained without exposure to the disturbance, a reactive policy trained with the disturbance but without the trigger signal, and a predictive policy that incorporates the trigger signal as an observation and is exposed to the disturbance during training. Our simulation results show that the predictive policy outperforms the other policies by minimizing position deviations through a proactive correction maneuver. This work highlights the potential of integrating predictive cues into RL frameworks to improve UAS performance. © 2025 IEEE.

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Coreference disambiguation based on two-layer label dependence analysis 7

Coreference disambiguation based on two-layer label dependen...

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7th International conference on mechatronics and Intelligent Robotics, ICMIR 2023

作者： Xu, Hongfei Li, Yingna Faculty of Information Engineering and Automation Kunming University of Science and Technology 727 Jingming South Rd.Chenggong District Kunming650500 China Yunnan Key Laboratory of Computer Technology Applications 727 Jingming South Rd.Chenggong District Kunming650500 China

ISBN: (数字)9781510668089

ISBN: (纸本)9781510668072

A two-layer labeling-based dependency analysis model is proposed to introduce the location features of words for the coreference disambiguation of entities. Firstly, two layers of labels are used for labeling, the second layer labels the location information of words, the features of sentences are learned using a bidirectional long short-Term memory network, the dependency syntax analysis based on deep graph decoding obtains the dependency tree of sentences, and the two layers of labels are fused to improve the performance and accuracy of coreference disambiguation. Experiments are conducted on the text dataset of power security entity relationship extraction, and the results show that the two-layer labeled dependency analysis has an improved effect on co-finger disambiguation, which verifies the effectiveness of the model for cofinger disambiguation on the experimental dataset. © 2023 SPIE. All rights reserved.

关键词： Trees (mathematics)

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