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检索条件"任意字段=International Symposium Distributed Computing and Applications Business Engineering and Science"

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Design and Implementation of ROS-Based Autonomous Mobile Robot Positioning and Navigation System

Design and Implementation of ROS-Based Autonomous Mobile Rob...

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international symposium on distributed computing and applications to business, engineering and science (DCABES)

作者： Jianjun Zhu Li Xu Jilin Institute of Chemical Technology Jilin China College of Information & Control Engineering Jilin Institute of Chemical Technology Jilin China

Aiming at the problem of positioning and navigation of mobile robots indoors, this paper designs and implements related functions based on Robot Operating System and laser radar. The core controller of the robot adopts an industrial computer, and is equipped with a laser radar to acquire information about the surrounding environment and develop related algorithms on the Robot Operating System. Realize Simultaneous Localization and Mapping function based on Cartographer algorithm, path planning based on optimal path algorithm and navigation function based on particle filter algorithm. The real machine experiment proves that the system can efficiently perform real-time synchronous positioning and map construction and navigation functions.

关键词： Laser radar Mobile robots Navigation Service robots Simultaneous localization and mapping

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A New Energy Vehicle Development Evaluation Model Based on Cluster Effect and Cobb-Douglas Utility Function

A New Energy Vehicle Development Evaluation Model Based on C...

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international symposium on distributed computing and applications to business, engineering and science (DCABES)

作者： Donghua Guo Haoyu Wang Zhenyu Wang School of Vehicle Engineering Wuhan University of Technology Wuhan China

It is significant to evaluate the development level of new energy vehicles quantitatively and analyze the effects of the support policies promulgated in this field. The former scholars used the static analysis methods of subjective and objective combination which made the persuasive power of the results greatly reduced due to the limitations in time and space. This paper establishes a quantitative analysis of the development level about new energy vehicles in selected cities by establishing a developmental evaluation model based on Cobb-Douglas utility function. Then examine the exogenous effects of cluster and plunder effects brought by policies on the development of new energy vehicles and make a second revision of the quantitative analysis results obtained before. Finally, the sensitivity analysis results of the established model show that it has high accuracy.

关键词： Urban areas Indexes Analytical models Force Automobiles Economics Sensitivity analysis

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A Face Sequence Recognition Method Based on Deep Convolutional Neural Network

A Face Sequence Recognition Method Based on Deep Convolution...

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international symposium on distributed computing and applications to business, engineering and science (DCABES)

作者： Siwei Ma Meng Cao Jiadong Li Quanyin Zhu Xiang Li Yi Shen Mengdi Wang Faculty of Computer & Software Engineering Huaiyin Institute of Technology Huaian China

ISBN: (纸本)9781728128665

Although the research in the field of face recognition has achieved high-quality results in the controllable production environment, its further research is limited in the field of face facial expression recognition based on video streaming. This paper describes the recent experimental research progress of a project, an analysis system of students' attendance status designed for real-time face recognition and prediction in class. In this paper, an expression recognition model based on mini-Xcetion optimization is proposed and the experimental results show that the facial expression recognition accuracy of this model is up to 98.96%, which is better than other algorithms in accuracy and more suitable for the application requirements of the system under the target scene studied.

关键词： Convolution Face recognition Training Emotion recognition Feature extraction Kernel Face

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Brief announcement: Neighborhood mutual remainder and its self-stabilizing implementation of look-compute-move robots 33

Brief announcement: Neighborhood mutual remainder and its se...

引用

33rd international symposium on distributed computing, DISC 2019

作者： Dolev, Shlomi Kamei, Sayaka Katayama, Yoshiaki Ooshita, Fukuhito Wada, Koichi Department of Computer Science Ben-Gurion University of the Negev Beer-Sheva Israel Graduate School of Engineering Hiroshima University Japan Graduate School of Engineering Nagoya Institute of Technology Japan Graduate School of Science and Technology Nara Institute of Science and Technology Japan Faculty of Science and Engineering Hosei University Japan

ISBN: (纸本)9783959771269

In this paper, we define a new concept neighborhood mutual remainder (NMR). An NMR distributed algorithms should satisfy global fairness, l-exclusion and repeated local rendezvous requirements. We give a simple self-stabilizing algorithm to demonstrate the design paradigm to achieve NMR, and also present applications of NMR to a Look-Compute-Move robot system. © Shlomi Dolev, Sayaka Kamei, Yoshiaki Katayama, Fukuhito Ooshita, and Koichi Wada.

关键词： Robots

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Design of Food Situation Monitoring System Based on ZigBee and WinCC

Design of Food Situation Monitoring System Based on ZigBee a...

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international symposium on distributed computing and applications to business, engineering and science (DCABES)

作者： Jianjun Zhu Min Yan Zhijun Hu Jilin Institute of Chemical Technology Jilin China CNPC Jilin Chemical Engineering Co. Ltd. Jilin China

In order to solve the problems of limited wiring, high power consumption and limited monitoring information in the traditional grain situation monitoring system, a wireless network monitoring system based on ZigBee was designed, which is composed of sensor module, ZigBee network module and control display module. The main function of sensor module is to collect temperature and humidity information of granary. The ZigBee network module mainly uploads the data collected by the sensor module to the upper computer human-machine interface system for processing, and realizes the remote monitoring of grain situation. The experiment shows that the system is simple in wiring, good in real-time, convenient and fast in data management, and can realize remote wireless monitoring of grain situation.

关键词： Temperature measurement Monitoring Humidity ZigBee Temperature sensors Wireless communication Wireless sensor networks

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A Marine Distance Measuring System Based on Mathematical Model

A Marine Distance Measuring System Based on Mathematical Mod...

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international symposium on distributed computing and applications to business, engineering and science (DCABES)

作者： Ruidong Zheng Qipei Zhou Hengyu Chen School of Energy and Power Engineering Wuhan University of Technology Wuhan China School of Transportation Wuhan University of Technology Wuhan China

This method solves the problem of ranging from the target object at sea using a mathematical method. Aiming at the problems of traditional sea ranging methods such as large error and high personnel training cost, this paper proposes a method based on mathematical modeling, which measures the data in the real environment and performs function fitting via SPSS, Mathematical method of ranging in the height range. This system can be used for offshore ranging when there is a need for sea distance measurement, and the next decision can be made on the measured results. After the randomized test, the measured algorithm can achieve high-precision measurement within a certain distance range, which can be initially applied to the distance measurement of the target object at sea.

关键词： Distance measurement Mathematical model Fitting Sea measurements Marine vehicles Lenses Training

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A Pattern-Based API for Mapping applications to a Hierarchy of Multi-Core Devices

A Pattern-Based API for Mapping Applications to a Hierarchy ...

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IEEE/ACM international symposium on Cluster computing and the Grid (CCGRID)

作者： Jia Guo Radu Teodorescu Gagan Agrawal Computer Science and Engineering Ohio State University Columbus OH 43210 Computer and Cyber Sciences Augusta University Augusta GA

ISBN: (数字)9781728160955

ISBN: (纸本)9781728196497

Recent years have witnessed an evolution of Internet of Things (IoT) devices. This has lead to the emergence of (related) paradigms of Edge/Fog computing, where the goal is to exploit the power of interconnected heterogeneous devices together with distributed/cloud computing. In Edge/Fog computing, one of the challenges is automatically distributing the work between different devices to reduce application latency. At the same time, with increasing transistor density and the end of Denard scaling, even small edge devices have parallelism. Thus, we need a programming model that can help distribute the work between different devices and yet parallelize operations on each device. Motivated by the popularity of MapReduce(-like) frame-works, we develop a pattern-based high-level programming API targeting computer vision applications for the Edge/Fog paradigm with parallelism within devices. Based on this API, parallelization, workload distribution, and optimizations that account for resource limitations of IoT devices, are implemented. Our evaluation with three image processing applications shows that while using a single device, we achieve 17-45% speedup over OpenCV, one of the most popular frameworks for image processing. In addition, we further gain benefits from distributing the work between multiple devices.

关键词： Parallel processing Image edge detection Programming Histograms Optimization Transforms

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Design and Implementation of engineering Standard Database System Based on Data Mining

Design and Implementation of Engineering Standard Database S...

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international symposium on distributed computing and applications to business, engineering and science (DCABES)

作者： Yi Shen Mengdi Wang Hong Zhou Quanyin Zhu Siwei Ma Meng Cao Jiadong Li Faculty of Computer & Software Engineering Huaiyin Institute of Technology Huaian China

ISBN: (纸本)9781728128665

In order to establish a public service platform for construction drawing intelligent review, an engineering standard database system based on Web crawler was proposed by building an engineering standard database system to improve the efficiency of querying engineering standards. The system mainly obtains the unstructured engineering standard information on the Web site through the crawler module, and extracts the information in the image on the Web site through the image recognition module, and then removes the non-critical information into the structured information through the data cleaning module, and finally the data update module ensures real-time data updates. When the user uses the system, the information in the database can be queried through the web page. Experimental research shows that the engineering standard database system can meet the daily needs of users.

关键词： Standards Uniform resource locators Crawlers Data mining Image recognition Database systems

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A Novel Neutrosophic Image Segmentation Based on Improved Particle Swarm Optimization Fuzzy C-Means Algorithm

A Novel Neutrosophic Image Segmentation Based on Improved Pa...

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international symposium on distributed computing and applications to business, engineering and science (DCABES)

作者： Xiaoli Wang Jing Zhao Department of Computer Science and Technology Shandong Academy of Sciences Jinan China

A new neutrosophic image segmentation algorithm based on improved particle swarm optimization fuzzy c-means(IPSO-FCM) is proposed to improve the time-consuming problem of neutrosophic image segmentation. In the novel method, the velocity updating method of PSO algorithm is divided into two kinds, and the objective function obtained by comparing the two velocities is compared. The corresponding velocity of minimum objective function is used as the current generation velocity and the position of the PSO particles is updated. Then the IPSO-FCM applied to the neutrosophic image. The experimental results show that the proposed algorithm can eliminate image noise more effectively than PSO-FCM algorithm, and the relative running time is shorter than that of PSO-FCM algorithm.

关键词： Image segmentation Linear programming Clustering algorithms Entropy Particle swarm optimization Convergence Noise reduction

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Analysis and implementation of abnormal user data for large scale communication based on spark 17

Analysis and implementation of abnormal user data for large ...

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17th international symposium on distributed computing and applications for business engineering and science (DCABES)

作者： Huang, Siqin Fang, Wei Jiangnan Univ Sch IoT Engn Wuxi Peoples R China

ISBN: (纸本)9781538674451

Abnormal communication refers to the user in the call traffic and business management and other daily consumption of abnormal behavior in the user. Communication operators have large-scale user data sets, and using data sets reasonably to make good guidance and recommendation to businesses can bring better economic benefits. However, for large-scale user feature datasets, serial machine learning and analysis methods spend a lot of time in feature processing, and data sets training is facing a huge time cost. In order to process and train abnormal user data better and more efficiently, this paper uses Spark to implement feature engineering and analyze large-scale anomaly user datasets to highlight the efficiency of Spark in analyzing feature data and implement distributed training to accelerate the algorithm model. The training algorithm takes the SVM distributed training dataset as an example and compares it with the stand-alone serial SVM and scikitlearn SVM. The experimental results show the advantages of distributed computing as well as good training results. Finally, common logistic regression and Bayesian algorithms and other distributed computing models to compare the training effect.

关键词： abnormal users SVM distributed

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