Deep learning for autonomous ship-oriented small ship detection

Chen, Zhijun; Chen, Depeng; Zhang, Yishi; Cheng, Xiaozhao; Zhang, Mingyang; Wu, Chaozhong

doi:10.1016/j.ssci.2020.104812

Cited by 150 publications

(76 citation statements)

References 15 publications

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“…The user usually determines the size of the divided data block and the number of data blocks placed. The upper layer of DFS is MapReduce, which consists of JobTrackers and TaskTrackers [28,29]. On HDFS, by default, large les have divided into equal parts.…”

Section: Methodsmentioning

confidence: 99%

Research on intelligent medical big data system based on Hadoop and blockchain

Zhang

Wang

2020

Preprint

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In order to improve the intelligence of the medical system, this paper designs and implements a secure medical big data ecosystem on top of the Hadoop big data platform. It is designed against the background of the increasingly serious trend of the current security medical big data ecosystem. In order to improve the efficiency of traditional medical rehabilitation activities and enable patients to maximize their understanding of their treatment status, this paper designs a personalized health information system that allows patient users to understand their treatment and rehabilitation status anytime and anywhere, and all medical health data Distributed in different independent medical institutions to ensure that these data are stored independently. As a distributed accounting technology for multi-party maintenance and backup information security, blockchain is a good breakthrough point for innovation in medical data sharing. In this paper, the system realizes the personal health data centre on the Hadoop big data platform, and the original distributed data is stored and analysed centrally through the data synchronization module and the independent data acquisition system. Utilizing the advantages of the Hadoop big data platform, the personalized health information system for stroke has designed to provide personalized health management services for patients and facilitate the management of patients by medical staff.

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Section: Methodsmentioning

confidence: 99%

Research on intelligent medical big data system based on Hadoop and blockchain

Zhang

Wang

2020

Preprint

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“…With the advancement and development of computer technology, the computer replaces some of the manually collected work content, which improves the work efficiency to a certain extent, but also inherits all the shortcomings of manual collection. At present, there are two main methods for semi-manual collection and recording techniques: the first is to use some shortcut keys designed in advance, the operator can click to enter and enter the shortcut; the other is to use the keyboard or mouse to collect input technical and tactical information [36]. Then use some functional modules of the system to convert these technical and tactical information [37].…”

Section: Badminton Skills and Tactics Collection Methodsmentioning

confidence: 99%

A Smart Position Optimization Scheme for Badminton Doubles Based on Human-computer Interactive Training in Wireless Sensor Networks

Yao

Liang

2020

Preprint

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In the continuous development process, robot technology based on multimedia interactions has been widely used in aerospace, medical, education and service industries. The relationship between robots and humans is getting closer. The improvement of robot intelligence is a process of continuously learning the outside world. Since 1959, multimedia human-computer interaction technology has provided more and more technical support for human research robots. In this paper, we firstly study the characteristics of badminton competition, including the technical characteristics, tactics characteristics, and the collection requirements about on-site training. The technical description of the badminton doubles station is also completed. Furthermore, in terms of the digitalization of the gait-based sensation, the automated acquisition of the gait technology, the simultaneously with the video, and the high-speed imaging system, the system implement information is integrated. After that, badminton multimedia techniques and tactics are designed based on the extensive statistical analysis. The skills and tactics of athletes are expressed in the form of video, graphics and text. Finally, the operators can carry out the technical and tactical analysis processes through good human-computer interactions. This increases the end user's game information. The related attention and understanding can strengthen the strength and depth of technical and tactical ability analysis. Thus, we propose the station optimization plan for badminton doubles.

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“…Edge computing puts more emphasis on the physical edge, that is, the device terminal closer to the data generation. The edge computing model has more real-time and faster data processing capabilities [27]. Because the intermediate data transmission process is reduced, the data processing speed is also faster.…”

Section: Figure 2 Reference Example Framework Of Edge Computingmentioning

confidence: 99%