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Advanced Intelligent Computing theories and Applications. With Aspects of theoretical and Methodological Issues 2008

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丛书名： Lecture Notes in computer Science

2008年

作者： De-Shuang Huang Donald C. Wunsch Daniel S. Levine Kang-Hyun Jo

ISBN: (数字)9783540874423

ISBN: (纸本)9783540874409

this book - in conjunction with the two volumes CCIS 0015 and LNAI 5226 - constitutes the refereed proceedings of the 4th International conference on Intelligent Computing, ICIC 2008, held in Shanghai, China, in September 2008. the 152 revised full papers of this volume were carefully reviewed and selected from a total of 2336 submissions. the papers are organized in topical sections on biological and quantum computing, intelligent computing in bioinformatics, computational genomics and proteomics, intelligent computing in signal processing, intelligent computing in pattern recognition, intelligent computing in communication, intelligent agent and web applications, intelligent fault diagnosis, intelligent control and automation, intelligent data fusion and security, intelligent prediction and time series analysis, natural language processing and expert systems, intelligent image/document retrievals, network-based intelligence and automation, intelligent robot systems based on vision technology, and computational intelligence for image analysis.

关键词： Computational intelligence Congresses. Computational intelligence Industrial applications Congresses. Computational biology Congresses. Bioinformatics Congresses. Cognitive neuroscience Congresses.

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Research on Mechanical Polishing System Based on Visual Recognition Technology

Research on Mechanical Polishing System Based on Visual Reco...

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Information Technology,Big Data and Artificial Intelligence (ICIBA), International conference on IEEE International conference on

作者： Jinyi Li Xian Li Yifei Kang Xiao Yang Longying Zhao Tianjin University of Technology and Education Tianjin China College of Automotive Engineering Beijing Polytechnic Beijing China

ISBN: (数字)9798350363609

ISBN: (纸本)9798350363616

this article aims to explore the design and implementation of a mechanical polishing system based on visual recognition technology. With the rapid development of industrial automation and intelligent manufacturing, the application of robot technology in the field of mechanical polishing is becoming increasingly widespread. this article proposes a polishing system that combines computer vision and robotics technology, which can achieve efficient and precise polishing of workpieces, improve production efficiency and product quality. through visual recognition technology, the system can automatically detect the position, shape, and surface defects of the workpiece, and adjust the polishing path and parameters accordingly, achieving intelligent polishing.

关键词： Visualization computer vision Service robots Shape Production Big Data Product design Quality assessment Manufacturing Information technology

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Explainable Artificial Intelligence: Concepts, Applications, Research Challenges and visions 1

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4th IFIP TC 5, TC 12, WG 8.4, WG 8.9, WG 12.9 International Cross-Domain conference for Machine Learning and Knowledge Extraction, CD-MAKE 2020

作者： Longo, Luca Goebel, Randy Lecue, Freddy Kieseberg, Peter Holzinger, Andreas School of Computer Science Technological University Dublin Dublin Ireland xAI-Lab Alberta Machine Intelligence Institute University of Alberta Edmonton Canada Inria Sophia Antipolis Biot France Thales Montreal Canada JRC Blockchains University of Applied Sciences St. Pölten Sankt Pölten Austria Human-Centered AI Lab Institute for Medical Informatics Statistics and Documentation Medical University Graz Graz Austria

ISBN: (数字)9783030573218

ISBN: (纸本)9783030573201

the development of theory, frameworks and tools for Explainable AI (XAI) is a very active area of research these days, and articulating any kind of coherence on a vision and challenges is itself a challenge. At least two sometimes complementary and colliding threads have emerged. the first focuses on the development of pragmatic tools for increasing the transparency of automatically learned prediction models, as for instance by deep or reinforcement learning. the second is aimed at anticipating the negative impact of opaque models with the desire to regulate or control impactful consequences of incorrect predictions, especially in sensitive areas like medicine and law. the formulation of methods to augment the construction of predictive models with domain knowledge can provide support for producing human understandable explanations for predictions. this runs in parallel with AI regulatory concerns, like the European Union General Data Protection Regulation, which sets standards for the production of explanations from automated or semi-automated decision making. Despite the fact that all this research activity is the growing acknowledgement that the topic of explainability is essential, it is important to recall that it is also among the oldest fields of computer science. In fact, early AI was re-traceable, interpretable, thus understandable by and explainable to humans. the goal of this research is to articulate the big picture ideas and their role in advancing the development of XAI systems, to acknowledge their historical roots, and to emphasise the biggest challenges to moving forward. © 2020, IFIP International Federation for Information Processing.

关键词： Forecasting

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New variable focal liquid lens system using antagonistic-type SMA actuator

New variable focal liquid lens system using antagonistic-typ...

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International conference on Autonomous robots and Agents, ICARA

作者： Hyung-Min Son Yun-Jung Lee School of Electrical Engineering and Computer Science Kyungpook National University Daegu South Korea

this paper presents a new variable focal liquid lens system that uses a SMA (shape memory alloy) actuator. Making a conventional variable focal liquid lens system small and light is difficult, due to the requirement of a large and heavy actuator, such as a pump or an electric motor, to distribute the liquid in the liquid lens. Plus, focal control is also difficult, due to a nonlinear focal variation in relation to a linear actuation. thus, to solve these problems, a new actuation system is proposed for a liquid lens that uses a SMA wire and rotating piston mechanism, in which a cylindrical cam structure is adopted to create a linear relationship between the radius of the curvature of the lens and the displacement of the actuator. A winding and antagonistic-type SMA actuator is also designed to produce a large displacement and fast response time. Experiments using a prototype demonstrate the efficiency of the proposed system.

关键词： Lenses Biomembranes Pistons Electric variables control Hydraulic actuators Delay robot vision systems Optical design Control systems Cameras

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Application and Comparison of Metaheuristic any Colony Optimization and Particle Swarm Optimization Algorithms in Manufacturing Automation

Application and Comparison of Metaheuristic any Colony Optim...

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2012 4th International conference on computer Modeling and Simulation (ICCMS 2012)

作者： RHYthM SUREN NTNU Valgrinda Inst. For Produksjons-og kvalitetstek. 7491 Trondheim

the paper presents an application and comparison of Particle Swarm Optimization (PSO) and Ant Colony Optimization (ACO) for object recognition problem in a robot material handling system. To enable robust pick and place activity of metalcasted parts by a six axis industrial robot manipulator, it is important that the correct orientation of the parts is input to the manipulator, via the digital image captured by the vision system. this information is then used for orienting the robot gripper to grip the part from a moving conveyor belt. the objective is to find the reference templates on the manufactured parts from the target landscape picture which may contain noise. the Normalized cross-correlation (NCC) function is used as an objection function in the optimization procedure. the ultimate goal is to test improved algorithms that could prove useful in practical manufacturing automation scenarios.

关键词： Foundry Automation, Particle Swarm Optimization, Ant Colony Optimization

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Design of VISUAL SLAM indoor disinfection robot based on STM32 control 22

Design of VISUAL SLAM indoor disinfection robot based on STM...

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Proceedings of the 2022 4th International conference on robotics, Intelligent Control and Artificial Intelligence

作者： Changzhong Wu Shengqiang Wang Wenchao Fan Wentao Tai University of Jinan China

ISBN: (纸本)9781450398343

In recent years, the novel corona virus pandemic is raging around the world, and the safety of home environment and public environment has become the focus of people's attention [2]. therefore, the research on disinfection robot has become one of the important directions in the field of machinery and artificial intelligence. this paper proposes a robot with the STM32 MCU as the core of disinfection, and is equipped with a variety of sensors and a camera vision, has the original cloud service management platform, the remote deployment of navigation, based on visual SLAM to realize high precision navigation and positioning, can realize to indoor environment autonomously route planning, automatic obstacle avoidance checking, disinfection, epidemic prevention function, at the same time can pass Bit computer software realizes remote control of robot, which has great development potential.

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A 3D-CLDNN Based Multiple Data Fusion Framework for Finger Gesture Recognition in Human-robot Interaction

A 3D-CLDNN Based Multiple Data Fusion Framework for Finger G...

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International conference on Control and robots (ICCR)

作者： Wen Qi Haoyu Fan Yancai Xu Hang Su Andrea Aliverti School of Future Technology South China University of Technology Guangzhou China Institute of Automation Chinese Academy of Sciences Beijing China Dept. of Electronics Information and Bioengineering Politecnico di Milano Milano Italy

Finger gesture recognition using surface electromyography (sEMG) became an efficient Human-robot Interaction (HRI) solution. Although Machine Learning (ML) techniques are widely applied in this field, the general solutions for labeling and collecting big datasets impose time-consuming implementation and heavy workloads. In this paper, a new deep learning structure, namely three-dimensional convolutional long short-term memory neural networks (3D-CLDNN) for finger gesture identification based on depth vision and sEMG signals, was proposed for human-machine interaction. It automatically labels the depth data by the self-organizing map (SOM) and predicts the hand gesture only adopting sEMG signals. the 3D-CLDNN method is integrated to improve the recognition rate and computational speed. the results showed the highest clustering accuracy (98.60%) and highest accuracy (84.40%) with the lowest computational time compared with different approaches. Finally, real-time human-machine interaction experiments are performed to demonstrate its efficiency.

关键词： Self-organizing feature maps Human computer interaction Neural networks Human-robot interaction Process control Gesture recognition Real-time systems

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A walking assistance robot based on bionic traction characteristics

A walking assistance robot based on bionic traction characte...

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computer Engineering and Intelligent Control (ICCEIC) International conference on

作者： Yang Yu Rui Zhang Ziyan Tang Han Wang Xiaona Zhuang Ruofan Zhao Yusen Ma Peilin Gao Zhanzhi Gong Haibo Chen Thirteenth Avenue Binhai New District Tianjin University of Science and Technology Tianjin China

With the continuous development of social modernization, the research of various types of mobility aids is in full swing. However, most of the assistive devices on the market at present have the characteristics of single function, weak adaptability and low reliability, which makes it impossible for people to establish a trusting relationship with assistive devices and break through psychological barriers when traveling. the wearable walker uses the principles of ergonomics, kinematics, dynamics, bionics and other principles to design a walker for use in families and communities to help the elderly with lower limb movement and walking dysfunction caused by neurological diseases. Our research interests mainly include assisted exoskeletons, rehabilitation assistive devices, human softening belt design, fall protection system, rehabilitation evaluation system, and provide a complete rehabilitation diagnosis and treatment plan to help the elderly help rehabilitate walkers and gradually recover their walking ability. the implementation of the project involves computer vision, natural language processing, and multi-module collaborative analysis, which will help drive further research and development of walk-assist robots.

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Implementation of Patrolling robots for Apartments using Cloud Technology

Implementation of Patrolling Robots for Apartments using Clo...

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Pervasive Computing and Social Networking (ICPCSN), International conference on

作者： Nagaraj P M. K. Nagarajan B. Surendra Reddy Y. Ramu G. Venkatesh A. Sravya Department of Computer Science and Engineering Kalasalingam Academy of Research and Education Virudhunagar Tamilnadu India

ISBN: (数字)9798350386349

ISBN: (纸本)9798350386356

the objective of this project is to create a smart flat patrolling robot with a variety of accessories, including an ESP controller, DC gear motor, motor driver, LCD, buzzer, rechargeable batteries, high-definition night vision 360° rotation smart camera, IoT cloud app and wheels. this robot's purpose is to improve security and monitoring within an apartment building by independently patrolling predetermined regions and delivering real-time monitoring via a cloud-based Internet of things application. the ESP controller, which acts as the robot's central processing unit, and the DC gear motor with a motor driver, which enables mobility, make up the robot's essential parts. the ESP controller, which takes instructions from the IoT cloud app, manages the robot's movement and navigation. the app enables users to monitor live camera feed, remotely control the robot, and get notifications for any questionable activity. the robot can take clear video footage even in low light thanks to the high-definition night vision 360° rotation smart camera, which can also spin 360 degrees to cover a large area of vision. this camera is essential for keeping an eye on and documenting any unexpected activity while patrolling. the design and development of a flexible, intelligent apartment patrolling robot that combines several components to improve security and surveillance is shown in this project. this robot is a useful addition to apartment complex security systems thanks to the ESP controller, DC gear motor, high-definition video, IoT cloud app, and other characteristics.

关键词： Night vision Cloud computing Technological innovation Service robots Gears robot vision systems Smart cameras

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Research on the Design of Intelligent Medical Interactive robot Based on OpenMV

Research on the Design of Intelligent Medical Interactive Ro...

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Electronic Information Engineering and computer Science (EIECS), 2021 International conference on

作者： Baicheng Pan Fan Gong Huijiong Zhan Zhengtao Liao Yajun Ou Yunyu Zhou Guangzhou Institute of Science and Technology College of Intelligent Manufacturing and Electrical Engineering Guangdong China

ISBN: (数字)9798331531409

ISBN: (纸本)9798331531416

With the continuous progress of science and technology, image and speech recognition technology has been widely used in many fields. In order to enhance the health management function of the medical interactive robot, an intelligent medical interactive robot based on OpenMV is designed in this study. the STM32 microcontroller is used as the main control, and the OpenMV camera module, speech recognition module and WIFI module are integrated. through these modules, the robot can realize image recognition, voice interaction, open the medicine box, intelligent access to drugs and other functions. At the same time, the WIFI module and the Aliyun platform are used to send and receive data to the WeChat Mini Program, and the user can remotely open the medicine box, manage the medicine and set the reminder on the applet. through a series of tests, the experimental results show that compared with the traditional medical interactive robot, the design improves the convenience and accuracy, and can facilitate the use of the elderly group to the greatest extent.

关键词： Image recognition Social networking (online) Microcontrollers robot vision systems Speech recognition Message services Older adults robots Wireless fidelity Biomedical imaging

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