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Computer Vision, Image and Deep Learning (CVIDL), international conference on

作者： Nanyan Shen Wei Lu Huayu Gao Jing Li Shanghai Key Laboratory of Intelligent Manufacturing and Robotics Shanghai University Shanghai China School of Mechatronic Engineering and Automation Shanghai University Shanghai China

ISBN: (数字)9798350373820

ISBN: (纸本)9798350373837

Colposcopic diagnosis and directed biopsy is the foundation of cervical cancer screening. Automatic segmentation of cervical lesion in colposcopic images can provide great assistance and convenience. However, the existing methods based on CNNs only differentiate the abnormality from healthy tissue, which is hard to further subdivide the lesion. In this paper, a Transformer-based network called TransNet is proposed which can extract the cervical lesion and recognize the corresponding category of each lesion. Unlike the other CNN-based methods, a more powerful vision transformer is adopted as the encoder. Extensive experiments on a large clinical colposcopic image dataset show that TransNet outperforms the existing state-of-art methods and achieves great improvement.

关键词： Deep learning Image segmentation Computer vision Image recognition Biopsy Medical services Transformers

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2019年第五届IEEE控制、自动化和机器人技术大会(ICCAR 2019)

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智能系统学报 2019年第2期14卷 223-223页

Over the past five years,we witnessed the world we live in entirely disrupted by improvements in artificial intelligence(AI),machine learning and control *** and machine learning are trading millions of dollars in financial markets;they are predicting what people want to search for online;facial recognition helps police identify criminals.

关键词： AI ICCAR 2019

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Modeling and control of General Hydraulic Excavator for Human-in-the-loop automation

Modeling and Control of General Hydraulic Excavator for Huma...

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international conference on Tools for Artificial Intelligence (ICTAI)

作者： Guangda Chen Yinghao Gan Jiayi Chen Shuanwu Shi Wei Chen Yingfeng Chen Rong Xiong Changjie Fan Fuxi Robotics in NetEase Hangzhou P.R. China State Key Laboratory of Industrial Control and Technology Zhejiang University Hangzhou P.R. China College of Computer Science and Technology Hangzhou Dianzi University Hangzhou P.R. China Department of Automation Zhejiang University of Technology Hangzhou P.R. China

As labor shortages and safety regulations become more prominent, the need for human-in-the-loop automation of excavators is increasing. To meet this demand, we have developed a comprehensive modeling method for the excavator arm using nonlinear optimization approaches, including a simplified model that maps the task space to the joint space, as well as an equivalent model that maps the joint space to the actuator space. these models were then used to build a feedforward-PID joint velocity controller and a joint trajectory controller combined with position feedback, which forms the core of our proposed semi-automatic control system for the excavator arm. Our deployment scheme is simple and efficient, and has been deployed on two excavators of different makes and sizes. Experiments show that our deployment scheme performs well on both excavators, with an average error of 0.05 rad/s for the velocity controller and less than 5 cm for the trajectory controller. Using our semi-automatic system, we have completed demonstration experiments for precise digging and grading operations. A demonstration video can be found at https://***/N6I0WZGSF68.

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7th international conference on Fluid Power and Mechatronics Harbin,China

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液压与气动 2015年第4期39卷 28-28页

international conference on Fluid Power and Mechatronics(previously named international Symposium on Fluid Power Transmission and control)is a series conference sponsored by Fluid Power Transmission and control Institution,Chinese Mechanical Engineering Society(FPTCI,CMES).the previous six conferences were successfully held in Beijing(1991),Shanghai(1995),Harbin(1999),Wuhan(2003),Qinhuangdao(2007)and Beijing(2011).the aim of the conference is to provide a platform for re-

关键词：期刊编辑工作发行工作液压

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Security and Privacy in Communication Networks 1st ed. 2018

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丛书名： Lecture Notes of the Institute for Computer Sciences, Social informatics and Telecommunications Engineering

2018年

作者： Xiaodong Lin Ali Ghorbani Kui Ren Sencun Zhu Aiqing Zhang

ISBN: (数字)9783319788166

ISBN: (纸本)9783319788159

this book constitutes the refereed proceedings of two workshops held at the 13th international conference on Security and Privacy in Communications Networks, SecureComm 2017, held in Niagara Falls, ON, Canada, in October 2017: the 5th international Workshop on Applications and Techniques in Cyber Security, ATCS 2017, and the First Workshop on Security and Privacy in the Internet Of things, SePrIoT 2017. the 22 revised regular papers were carefully reviewed and selected from 105 submissions. the topics range from access control; language-based security; malicious software; network security; cloud security; software security; operating system security; privacy protection, database security, security models; and many more. the SePrIoT workshop targets to address novel approaches in security and privacy. the papers focuse, amongst others, on novel models, techniques, protocols, algorithms, or architectures.

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Image Matching Algorithm based on ORB and K-Means Clustering

Image Matching Algorithm based on ORB and K-Means Clustering

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Information Science, Computer Technology and Transportation (ISCTT), international conference on

作者： Liye Zhang Fudong Cai Jinjun Wang Changfeng Lv Wei Liu Guoxin Guo Huanyun Liu Yixin Xing School of Computer Science and Technology Shandong University of Technology Zibo China Electric Power Automation Division Shandong Senter Electronic Zibo China Institute of Artificial Intelligence and Robotics Xi'an Jiaotong University Xi'an China Jinan Xintongda Electronic Technology Co. Ltd Jinan China

ISBN: (数字)9781728185750

ISBN: (纸本)9781728185767

With the rapid development of science and technology, image processing technology plays an important role in the field of computer vision. In order to improve the matching speed and real-time requirements, this paper proposes an image matching algorithm based on ORB and K-means clustering, which can effectively improve the accuracy of image feature point location and the accuracy and efficiency of image feature matching, and reduce the time consumption. the algorithm uses sub-pixel interpolation to optimize the traditional ORB algorithm, which improves the accuracy and characteristics of clustering calculation.

关键词： Interpolation Information science Image matching Clustering algorithms Transportation Real-time systems Stereo vision

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the Articulated Head pays attention

The Articulated Head pays attention

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ACM/IEEE international conference on Human-Robot Interaction (HRI)

作者： Christian Kroos Damith C. Herath Stelarc MARCS Auditory Laboratories University of Western Ontario Sydney Australia

the Articulated Head (AH) is an artistic installation that consists of a LCD monitor mounted on an industrial robot arm (Fanuc LR Mate 200iC) displaying the head of a virtual human. It was conceived as the next step in the evolution of Embodied Conversational Agents (ECAs) transcending virtual reality into the physical space shared with the human interlocutor. Recently an attention module has been added as part of a behavioural control system for non-verbal interaction between robot/ECA and human. Unstructured incoming perceptual information (currently originating from a custom acoustic localisation algorithm and a commercial people tracking software) is narrowed down to the most salient aspects allowing the generation of a single motor response. the requirements of the current task determine what salient means at any point in time, that is, the rules and associated thresholds and weights of the attention system are modified by the requirements of the current task while the task itself is specified by the central control system depending on the overall state of the AH with respect to the ongoing interaction. the attention system determines a single attended event using a winner-takes-all strategy and relays it to the central control system. It also directly generates a motor goal and forwards it to the motor system. the video shows how the robot's attention system drives its behaviour, (1) when there is no stimulus over an extended period of time, (2) when a person moves within its visual field, and (3) when a sudden loud auditory event attracts attention during an ongoing visually-based interaction (auditory-visual attention conflict). the subtitles are direct mappings from numeric descriptions of the central control system's internal states to slightly more entertaining English sentences.

关键词： control systems Centralized control Orbital robotics Laboratories Australia Service robots Virtual reality Human robot interaction Software algorithms Relays

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Design and Implementation of Natural Language Processing with Syntax and Semantic Analysis for Extract Traffic Conditions from Social Media Data

Design and Implementation of Natural Language Processing wit...

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IEEE international conference on System Engineering and Technology

作者： Mochamad Vicky Ghani Aziz Ary Setijadi Prihatmanto Diotra Henriyan Rifki Wijaya Control and Computer System Laboratory School of Electrical Engineering and Informatics Institut Teknologi Bandung

ISBN: (纸本)9781467367141

Traffic congestion is still a crucial issue because it has a huge impact from the waste of time, the fuel to air pollution. Search information on traffic conditions have been widely available such as through Twitter and the website of CCTV, but the rapid development of online information services resulted in the lack of time to read the complete information. By utilizing the Twitter data, then created a summary regarding the traffic, the summary can improve time efficiency and effectiveness in obtaining information about traffic conditions. However, the structure of the language of Twitter tweets unstructured and raw cause difficult to process information computer, to solve these problems then summarize it using Natural Language Processing approach the syntactic and semantic analysis to improve the structure of words and sentence parsing so that it can classify traffic conditions tweet of the sentence.

关键词： Natural language processing Syntax and semantic analysis Extract traffic condition Natural Language Processing syntax Social Media Traffic TWITTER Language Processing CLOSED CIRCUIT TELEVISION traffic congestion time efficiency Semantics

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Improvement of Obstacle and Singularity Avoidance Path Planning Algorithm for Redundant Manipulators

Improvement of Obstacle and Singularity Avoidance Path Plann...

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2015 5th international conference on Computer Sciences and automation Engineering(ICCSAE 2015)

作者： Liu Yu-Bin Dai Qian Robotics Institute Harbin Institute of Technology

A collaborative optimization scheme of obstacle avoidance and singularity avoidance path planning method is presented for redundant robot. An improved real-time minimum distance calculated method is presented and search the connect rod which easy to collision based on this minimum distance. Complete the obstacle avoidance based on the self-motion of the redundant manipulator on a null space and two obstacle avoidance parameters related to real-time minimum distance are introduced to improve optimization of obstacle avoidance. Adopt the DLS method to solve the problem that very high joint velocities in the vicinity of singular configuration. At last, through simulation of planar 3R redundant manipulator, the algorithm proves to be feasible and effective.

关键词： Redundant manipulator Obstacle avoidance Singularity avoidance Motion Planning

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Fuzzy Adaptive control-based Real-time Obstacle Avoidance under Uncertain Perturbations

Fuzzy Adaptive Control-based Real-time Obstacle Avoidance un...

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international conference on Advanced robotics and Mechatronics (ICARM)

作者： Yingbai Hu Guang Chen Longbin Zhang Hang Su Mengyao Li Yunus Schmirander Hu Cao Alois Knoll Chair of Robotics Artificial Intelligence and Realtime Systems Technical University of Munich Munich Germany College of Automotive Engineering Tongji University Shanghai China KTH MoveAbility Lab KTH Royal Institute of Technology Stockholm Sweden Politecnico di Milano Milano Italy Guangdong Provincial Key Laboratory of Robotics and Intelligent System Shenzhen Institutes of Advanced Technology Chinese Academy of Sciences Shenzhen China

ISBN: (数字)9781728164793

ISBN: (纸本)9781728164809

Dynamic Movement Primitives (DMPs) framework is a powerful approach to imitate motor skills, which has outstanding characteristics, such as convergence to the goal position and good imitation performance. Considering complex motion scenes of manipulators, such as changing the goal position or adding obstacles, the original DMPs framework is not sufficient for the requirements. In this paper, we propose a learning control-based hierarchical control strategy to adapt to new goal positions and avoid obstacles: the high-level learning scheme is targeted at imitating the motor skill and generating the optimization trajectory for obstacle avoidance; the lower-level control scheme focuses on the safety and stability of the robot's movement with unknown disturbances. Firstly, the enhanced DMPs framework is presented to imitate the trajectory from human demonstrations, where the novel DMPs can adapt to new goal position with the changing goal, and avoid single or multiple obstacles. then, the fuzzy adaptive control method is employed to control redundant manipulators, where the fuzzy logic system (FLS) is incorporated to approximate an unknown nonlinear function term of the unknown disturbance. Finally, the effectiveness of the proposed learning-control strategy is demonstrated with simulation results. the results show that the developed hierarchical strategy has good performance for new goal adaptation and obstacle avoidance.

关键词： Collision avoidance Trajectory Manipulator dynamics Nonlinear dynamical systems Adaptive control

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