Optimization of Ship-borne Anti-collision Sounding System Based on Internet of Things and Full Convolution Neural Network

Shu, Jun; Deng, Mingzhou; He, Juncheng

doi:10.2112/si103-156.1

Cited by 6 publications

(4 citation statements)

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“…The Internet of things is a network of all ordinary physical objects that can be independently addressable and interconnected. In recent years, rapid development has been made based on high-speed communication technology [ 3 , 4 ]. The application of Internet of things in medicine has made great progress [ 5 ].…”

Section: Introductionmentioning

confidence: 99%

Optimization of Remote Public Medical Emergency Management System with Low Delay Based on Internet of Things

Feng

Zhong-yu

2021

Journal of Healthcare Engineering

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Due to the limitation of economic geography condition, the existing health resources distribution is uneven, the emergence of remote medical disciplines perfectly solved this difficult problem, using computer and network communication network on audio video information transmissions, querying, display, storage, and backup and realizing the network of outpatient service, remote consultation, health advice, and other functions. Telemedicine enables the limited available medical resources to be shared and fully utilized and also enables many economically underdeveloped provinces to enjoy a higher level of medical sharing services. Public health emergency management system on the overall design of the low latency according to system function will be based on the Internet of things. The remote public health emergency management system is divided into three subsystems low latency modules, basic subsystems of platform, application platform, and specific application subsystems, and designs the structure of the various modules. The implementation process is given. In the realization of the system, this paper describes in detail how to realize the functions of the public medical low delay emergency management system, and, in the end, the realization process of the system is reasonably summarized. The application of Internet of things technology in regional emergency rescue can realize the identification and real-time positioning of material personnel, the collection and transmission of the wounded’s physiological information, real-time information transmission, and interaction based on mobile handheld devices, as well as the integration of emergency rescue resources, information integration, and command decision-making, so as to assist rescue operations and improve rescue efficiency.

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Section: Introductionmentioning

confidence: 99%

Optimization of Remote Public Medical Emergency Management System with Low Delay Based on Internet of Things

Feng

Zhong-yu

2021

Journal of Healthcare Engineering

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“…Different from the neural network, the full CNN can classify all the pixels contained in the image when classifying the image, while the CNN classifies the image as a whole. erefore, compared with the neural network, the extended full CNN has a better segmentation effect on the image [26][27][28].…”

Section: Fcn Presegmentationmentioning

confidence: 99%

Video Analysis and System Construction of Basketball Game by Lightweight Deep Learning under the Internet of Things

Yang

Jiang

Li³

2022

Computational Intelligence and Neuroscience

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With the explosive growth of sports video data on the internet platform, how to scientifically manage this information has become a major challenge in the current big data era. In this context, a new lightweight player segmentation algorithm is proposed to realize the automatic analysis of basketball game video. Firstly, semantic events are expressed by extracting group and global motion features. A complete basketball game video is divided into three stages, and a basketball event classification method integrating global group motion patterns and domain knowledge is proposed. Secondly, a player segmentation algorithm based on lightweight deep learning is proposed to detect basketball players, segment the players, and finally extract players’ spatial features based on deep learning to realize players’ pose estimation. As the experimental results indicate, when a proposed 2-stage classification algorithm is used to classify the videos, the accuracy of identifying layup, the shooting, and other 2-pointers are improved by 21.26% and 6.41%, respectively. And the accuracy of average events sees an improvement of 2.74%. The results imply that the 2-stage classification based on event-occ is effective. After comparing the four methods of classifying players, it is found that there is no significant difference among these four methods about the accuracy of segmenting. Nevertheless, when judged with the time that these methods take separately, FCN-CNN (Fully Convolutional Network-Convolutional Neural Network) based on superpixels has overwhelming advantages. The event analysis method of basketball game video proposed here can realize the automatic analysis of basketball video, which is beneficial to promoting the rapid development of basketball and even sports.

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“…In the aspect of research on the constituent elements of cultural tourism resources, Robert Dodo explained the relationship between the elements of Ashanti cultural resources and the perception and utilization of resources from the perspectives of cultural geography and cultural anthropology [8]. omas F King proposed that the evaluation of influence elements of American "cultural resources" should not be limited to archaeological sites or historical buildings, but more widely, effective methods should be used to use more diverse evaluation dimensions [9]. ese methods should be used while determining whether a project is implemented or not by considering its impact on cultural resources in accordance with relevant laws and regulations [10].…”

Section: Introductionmentioning

confidence: 99%

Local Cultural IP Development and Cultural Creative Design Based on Big Data and Internet of Things

Wang

2021

Mobile Information Systems

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Relying on the development of cultural tourism resources and the development of cultural tourism industry to achieve regional industrial revitalization is an important way of implementing postdisaster reconstruction in areas suffering from major natural disasters. To this end, this article proposes a local cultural IP development and cultural creative design method based on big data and the Internet of Things to explore new ideas for postdisaster reconstruction in such areas. First, we collect traditional and modern cultural element data and carry out data cleaning and processing through the Internet of Things. Second, we use data mining to perform multilayer collaborative processing on regional cultural data based on ontology modeling and tensor decomposition. Based on our approach, local cultural categories can be effectively screened and filtered out. Finally, we establish a cultural IP development model based on the Internet of Things and verify the validity and applicability of the model through system testing and simulation analysis.

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Optimization of Ship-borne Anti-collision Sounding System Based on Internet of Things and Full Convolution Neural Network

Cited by 6 publications

References 0 publications

Optimization of Remote Public Medical Emergency Management System with Low Delay Based on Internet of Things

Optimization of Remote Public Medical Emergency Management System with Low Delay Based on Internet of Things

Video Analysis and System Construction of Basketball Game by Lightweight Deep Learning under the Internet of Things

Local Cultural IP Development and Cultural Creative Design Based on Big Data and Internet of Things

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