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检索条件"任意字段=17th International Conference on Distributed Computing and Intelligent Technology"

共 4256 条记录，以下是131-140 订阅

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Learning Based Semantic Segmentation for Robot Navigation in Outdoor Environment 17

Learning Based Semantic Segmentation for Robot Navigation in...

引用

Joint 17th World Congress of international-Fuzzy-Systems-Association / 9th international conference on Soft computing and intelligent Systems (IFSA-SCIS)

作者： Lin, Janice Wang, Wen-June Huang, Sheng-Kai Chen, Hsiang-Chieh Natl Cent Univ Dept Elect Engn Zhongli City Taiwan Natl United Univ Dept Elect Engn Miaoli Taiwan

ISBN: (纸本)9781509049172

this work presents a vision-based navigation control strategy for a wheeled robot traveling outside. the main achievements contain road detection with deep learning and navigation control scheme of a robot. A deep convolutional neural network is first employed to perform pixel-wise segmentation and thus to find road regions. Next, a fuzzy controller is designed for commanding a robot's activities including movement and speed. Experimental results verify the essential capability of navigation by using a deep architecture of convolutional network. In brief, the proposed approach certainly reaches autonomous traveling with collision avoiding and wayfinding functionalities.

关键词： deep learning convolutional neural network robot navigation fuzzy control

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Constrained Fuzzy Stabilization for Mobile Robots with Laser-Range-Finder Localization 17

Constrained Fuzzy Stabilization for Mobile Robots with Laser...

引用

Joint 17th World Congress of international-Fuzzy-Systems-Association / 9th international conference on Soft computing and intelligent Systems (IFSA-SCIS)

作者： Sun, Chung-Hsun Chen, Hsuan Chen, Hsiang-Chieh Tamkang Univ Dept Mech & Electromech Engn New Taipei Taiwan Natl United Univ Dept Elect Engn Miaoli Taiwan

ISBN: (纸本)9781509049172

In this paper, the fuzzy position and posture stabilization for the differentially-driven wheeled mobile robot (WMR) with laser range finder (LRF) localization is investigated. the position and posture of the WMR are sensing by the LRF with inertial measurement unit (IMU). the position and posture stabilization is based on the Takagi-Sugeno (T-S) fuzzy model of the mobile robot represented in polar kinematics. the position and posture stabilization of the T-S fuzzy model based control design follows the Lyapunov stabilization method. Moreover, the constraint on the LRF-based localization is considered in the control design. Finally, the position and posture stabilization experiments are carried out on a mobile robot with LRF-based localization to prove the effectiveness of proposed T-S fuzzy model based control strategy.

关键词： wheeled mobile robot fuzzy model based control laser range finder

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intelligent Storage Device for Chinese Medicinal Materials 17

Intelligent Storage Device for Chinese Medicinal Materials

引用

17th IEEE international Wireless Communications and Mobile computing conference (IEEE IWCMC)

作者： Wang, Shaofei Wang, Zuliang Zhang, Ting Yu, Hongtao Xijing Univ Xian Shaanxi Peoples R China

ISBN: (纸本)9781728186160

this device introduces a storage method for Chinese medicinal materials, and specifically relates to the field of medicinal materials storage management. the air conditioner of this device is connected to the storage box through a pipe. the storage box is equipped with an intelligent sensing module, which contains a variety of sensors for collecting environmental information in the storage box. the main information processing module is communicatively connected to a data transmission module, which is communicatively linked to the server, and the server is communicatively connected to the intelligent air conditioning system. In order to solve the defects in the existing storage methods, this device reduces the waste rate of Chinese medicinal materials due to improper storage and uncontrollable manual operation, thus, this design provides an intelligent storage device of Chinese medicinal materials.

关键词： Chinese Herbal Medicine Medicine Storage Box Intellisense Module Server

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Chaos Synchronization Using Brain-Emotional-Learning-Based Fuzzy Control 8

Chaos Synchronization Using Brain-Emotional-Learning-Based F...

引用

Joint 8th international conference on Soft computing and intelligent Systems (SCIS) / 17th international Symposium on Advanced intelligent Systems (ISIS)

作者： Hsu, Chun-Fei Su, Chien-Ting Lee, Tsu-Tian Tamkang Univ Dept Elect Engn 151 Yingzhuan Rd New Taipei 25137 Taiwan

ISBN: (纸本)9781509026784

this paper proposes a brain-emotional-learning-based fuzzy control (BELFC) system which is comprised of a fuzzy amygdale controller (FAC) and a fuzzy orbitofrontal controller (FOC). the FAC is used for providing attention signals and the FOC is designed to inhibit inappropriate responses from the FAC. All adjustable parameters of the BELFC system are online tuned based on both of the brain emotional learning model and the gradient descent method. Finally, the proposed BELFC system is applied to chaos synchronization problem. the simulation results show that the chaotic behavior of two nonlinear chaotic systems can be synchronized using the proposed BELFC scheme after controller parameters learning.

关键词： brain emotional learning model amygdale system orbitofrontal system chaotic synchronization intelligent control

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the Framework and Realization of Grid Node computing Pool of China Geological Spatial Information Grid

The Framework and Realization of Grid Node Computing Pool of...

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17th international conference on Geoinformatics

作者： Xie, Zhong Guo, Ming-Qiang Wu, Liang Huang, Ying China Univ Geosci Fac Informat & Engn GIS Software & Applicat Project Res Ctr Dept Educ Wuhan 430074 Peoples R China

ISBN: (纸本)9781424445622

this paper analyzes the characteristics of geological spatial information sharing at first. In order to break the current "information island" and implement spatial information sharing among virtual organizations, the concept of China geological spatial information grid is proposed. Focusing on the core techniques of grid virtual and collaborative issues, this paper discusses the framework and mechanism of grid node computing pool which makes up the China geological spatial information grid platform. the concepts and the key techniques of resource aggregator, meta-service and distributed intelligent service engine which compose the grid node computing pool are given. After three years research, now, the China geological spatial information grid which connects five nodes is preliminary constructed and has been on work. It has implemented on-line distributed resources acquisition, search, spatial analyze, download, resources assessment and geological disaster dynamic assessment of the multi-scale geological maps, geochemical maps and hydrological maps. the actual operation has achieved good results.

关键词： China geological spatial information grid grid node computing pool resource aggregator meta-service distributed intelligent service engine

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Application of Big Data technology in Economic Statistics 17

Application of Big Data Technology in Economic Statistics

引用

17th IEEE international Wireless Communications and Mobile computing conference (IEEE IWCMC)

作者： Wang, Xia Wuhan Business Univ Wuhan Peoples R China

ISBN: (纸本)9781728186160

With the rapid development of Internet, database, intelligent equipment, produce a large amount of information on tax policy uncertainty, large data with vast, real-time, and unstructured data more superiority than traditional statistical data, the economists began to start based on big data technology to obtain the real-time data measure policy uncertainty. this paper mainly studies the application of big data technology for economic statistics. China's tax policy system in this paper combed the different periods of uncertainty are reviewed at home and abroad about tax policy uncertainty measure method, frequency method, the frequency of web search method based on news reported, subjective perception deviation method three big data respectively to measure the China's tax policy uncertainty and subdivision tax policy uncertainty.

关键词： Big Data Big Data Economy Economic Statistics Tax Policy Uncertainty

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the design and implementation of multi-cloud based distributed storage platform with random linear coding 21

The design and implementation of multi-cloud based distribut...

引用

21st IEEE international conference on High Performance computing and Communications, 17th IEEE international conference on Smart City and 5th IEEE international conference on Data Science and Systems, HPCC/SmartCity/DSS 2019

作者： He, Bin Wang, Jin Zhou, Jingya Li, Lingzhi Zhou, Wei Zhu, Luqi Zhai, Mengjia School of Computer Science and Technology Soochow University Collaborative Innovation Center of Novel Software Technology and Industrialization China Department of Computer Science Georgia Institue of Technology United States

ISBN: (纸本)9781728120584

Nowadays, distributed storage systems have been widely used in the world, e.g, Google Drive, OneDrive, DropBox, Baidu PCS, etc.. Although these cloud storage services significantly facilitate the file storage for users, the performance of them varies widely when using in different countries. For example, Google Drive has high upload/download speed in America while it has very low upload/download speed in China. therefore, to enhance the reliability and security of the cloud storage, in this paper, we firstly design a multi-cloud based distributed storage platform, named as, Normal Drive, by utilizing random linear coding and APIs provided by multiple cloud disks. We then implement the Normal Drive and conduct extensive evaluation from different aspects in five different locations around the world to test the performance of it. the experimental results show that the proposed Normal Drive can significantly improve the transmission performance and enhance the reliability of file storage when comparing with single-cloud based distributed storage system. © 2019 IEEE.

关键词： Network coding

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Principal Component Analysis Approach in Selecting Type-1 and Type-2 Fuzzy Membership Functions for High-dimensional Data 17

Principal Component Analysis Approach in Selecting Type-1 an...

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Joint 17th World Congress of international-Fuzzy-Systems-Association / 9th international conference on Soft computing and intelligent Systems (IFSA-SCIS)

作者： Raj, Desh Gupta, Aditya Tanna, Kenil Garg, Bhuvnesh Rhee, Frank Chung-Hoon Indian Inst Technol Guwahati Dept Comp Sci & Engn Gauhati 781039 India Indian Inst Technol Guwahati Dept Math Gauhati 781039 India Hanyang Univ Dept Elect & Commun Engn Ansan 15588 South Korea

ISBN: (纸本)9781509049172

With increased interest in learning from data, algorithms that manipulate datasets containing hundreds of features have become popular in various fields such as medicine, image processing, geolocation, biochemistry, and computational linguistics. Since a number of these applications exploit the power of fuzzy sets in representing uncertainties, it may be considered essential to describe a method for selecting the most suitable fuzzy membership function to represent a high-dimensional dataset. In this paper, we propose such a method, which is based on dimensionality reduction using the Principal Component Analysis (PCA) technique, followed by the Wilcoxon Minimal Bin Size algorithm, which has earlier been evaluated on multidimensional datasets up to 8 dimensions. We further demonstrate our proposed method using two real datasets consisting of 281 and 500 features, respectively.

关键词： Estimation Field programmable gate arrays OFDM Modulation Filtration Clocks Signal processing algorithms

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17th international conference on Information technology–New Generations (ITNG 2020) 1st ed. 2020

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丛书名： Advances in intelligent Systems and computing

2020年

作者： Shahram Latifi

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An intelligent Network User Behavior Analysis System Based on Collaborative Markov Model and distributed Data Processing

An Intelligent Network User Behavior Analysis System Based o...

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IEEE 17th international conference on Computer Supported Cooperative Work in Design (CSCWD)

作者： Wu, Tao He, Hui Gu, Xiqian Peng, Ying Zhang, Yi Zhou, Yuntao Xu, Senzhe HUST Sch Software Engn Wuhan Hubei Peoples R China

ISBN: (纸本)9781467360852;9781467360845

With the boom of internet and ecommerce, increasing numbers of people are getting accustomed to online shopping. Consequently, the analysis of network user behavior is of vital importance to the growth of internet enterprise business. In this paper, an intelligent network user behavior analysis system is illustrated based on collaborative Markov model and distributed data processing. As Markov recommendation algorithm is accurate in prediction, it could be able to solve a series of typical problems like cold start to analyze user behavior data after improving by Slope One algorithm compared with the traditional model. Moreover, distributed computing could divide one problem into multiple tasks and share numerous resources. It could process massive data effectively. therefore, users would acquire the resources which they truly need among massive data conveniently.

关键词： distributed Collaborative Markov model User behavior analysis Prediction

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