Prediction of Ocean Wave Height Suitable for Ship Autopilot

Lou, Ranran; Wang, Wen; Li, Xinfang; Zheng, Yuchao; Lv, Zhihan

doi:10.1109/tits.2021.3067040

Cited by 38 publications

(9 citation statements)

References 49 publications

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“…Otherwise, they collect such information for customized health services and then get feedback from the athletes and finally perform the same analysis. People can monitor and evaluate their health progress in time based on these parameters and adjust the amount and intensity of exercise in time to make scientific exercise possible [12].…”

Section: Data Collection Systemmentioning

confidence: 99%

Application of Blockchain-Based Sports Health Data Collection System in the Development of Sports Industry

Song

2021

Mobile Information Systems

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In recent years, with the continuous development of blockchain technology and the prosperity of digital currency, various industries have carried out extensive practice around the application of blockchain technology, such as my country’s sports industry. Through the measurement and collection of athletes’ health and exercise information, the athlete’s exercise volume and exercise level can be quantitatively evaluated. Blockchain technology provides a new opportunity for the development of the sports industry. The characteristics of the decentralization, security, credibility, and traceability of the data collection system are highly compatible with the development of the sports industry. In order to develop and expand the sports industry and scientifically evaluate the physical fitness of athletes, this research focuses on the blockchain-based sports health data collection system in the sports industry. This article adopts the accuracy index and the formula of data return and conducts demand analysis, accuracy, and recall analysis of the health data collection system. The research conclusion of this paper is that when using sensors to collect sports health data, the data collection of sensors located on the arm is more accurate, with an accuracy rate of over 90%, and the collection effect of multinode sensors is higher than that of single-node sensors. The collection of sports health data is beneficial to the training of athletes and the development of the sports industry to meet the growing demand for sports health. Our country’s sports industry will also develop with the application of blockchain.

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Section: Data Collection Systemmentioning

confidence: 99%

Application of Blockchain-Based Sports Health Data Collection System in the Development of Sports Industry

Song

2021

Mobile Information Systems

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“…The formal description of association rules mining is as follows: I = ( i l , i 2 , i 3 … i k ) is a set consisted of k different elements, each element is called an item, the set is called items set. The set which includes k items is called k items set (Lou et al 2021b ; Bai et al 2021 ).…”

Section: Proposed Qoe-based Prediction Modelmentioning

confidence: 99%

A new QoE-based prediction model for evaluating virtual education systems with COVID-19 side effects using data mining

Tan

Lin

2021

Soft Comput

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Today, emerging technologies such as 5G Internet of things (IoT), virtual reality and cloud-edge computing have enhanced and upgraded higher education environments in universities, colleagues and research centers. Computer-assisted learning systems with aggregating IoT applications and smart devices have improved the e-learning systems by enabling remote monitoring and screening of the behavioral aspects of teaching and education scores of students. On the other side, educational data mining has improved the higher education systems by predicting and analyzing the behavioral aspects of teaching and education scores of students. Due to an unexpected and huge increase in the number of patients during coronavirus (COVID-19) pandemic, all universities, campuses, schools, research centers, many scientific collaborations and meetings have closed and forced to initiate online teaching, e-learning and virtual meeting. Due to importance of behavioral aspects of teaching and education between lecturers and students, prediction of quality of experience (QoE) in virtual education systems is a critical issue. This paper presents a new prediction model to detect technical aspects of teaching and e-learning in virtual education systems using data mining. Association rules mining and supervised techniques are applied to detect efficient QoE factors on virtual education systems. The experimental results described that the suggested prediction model meets the proper accuracy, precision and recall factors for predicting the behavioral aspects of teaching and e-learning for students in virtual education systems.

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“…Since the back-end data center processes multisite data together, the synchronization between the sites and the accuracy of the calibration time of each site are required to be very high, and the clock signal of the entire system is required to be strictly stable [18,19]. erefore, the frequency calibration unit is a very important part of the system.…”

Section: Platform Design Of Lightning Monitoring and Positioningmentioning

confidence: 99%

Forecast of Thunderstorm Cloud Trend Based on Monitoring Data of Thunder Mobile Positioning System

Yang

Liu

2021

Mobile Information Systems

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As a natural phenomenon, thunder and lightning have a major impact on human production and life. As an important part of lightning protection technology, the main task of the lightning mobile positioning system is to detect and determine the location of lightning and, at the same time, provide more accurate lightning discharge parameters for lightning research. It is a new technology that serves the entire society and is in urgent need of development. This paper aims to study the trend prediction of thunderstorm cloud based on the monitoring data of the thunder and lightning mobile positioning system. In this thesis, the inverse distance-weighted interpolation method can be used to determine the lightning area and the principle of lightning monitoring and positioning, and the classification of lightning and the practical significance of lightning mobile positioning system monitoring are also studied. Finally, the Hurst index of this paper can reveal the trend elements in the time series well through the experiment, so as to judge the lightning strikes. At the same time, it also introduces everyone’s satisfaction survey on the lightning mobile positioning system. The results of this paper show that the lightning mobile positioning system has been widely used in our country’s meteorological monitoring stations, and it plays a very important role in our national defense lightning strikes and effectively realizes the lightning strike prediction in the monitoring process, which can better enable the competent department to take timely and accurate measures to prevent lightning strikes. Experimental analysis shows that the accuracy of the lightning mobile positioning system has reached 92%, and the practicability has reached 88%.

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Prediction of Ocean Wave Height Suitable for Ship Autopilot

Cited by 38 publications

References 49 publications

Application of Blockchain-Based Sports Health Data Collection System in the Development of Sports Industry

Application of Blockchain-Based Sports Health Data Collection System in the Development of Sports Industry

A new QoE-based prediction model for evaluating virtual education systems with COVID-19 side effects using data mining

Forecast of Thunderstorm Cloud Trend Based on Monitoring Data of Thunder Mobile Positioning System

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