Study on the Production of Ultra High Strength Steel (UHSS) in Thin Slab Caster

Patra, P.K.; Sam, Srimanta; Singhai, Mrigandra; Kant, Neel

doi:10.4271/2014-28-0027

Cited by 5 publications

(2 citation statements)

References 3 publications

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“…It includes the main functional interfaces such as training subjects, performance evaluation, and other auxiliary functional interface such as system login and user rights management. In order to reduce the complexity of the page and improve its efficiency [15,16], all business processes are excluded while displaying the user interface through JPS pages, and Java scripts are not involved at the same time [17,18].…”

Section: Software Designmentioning

confidence: 99%

RETRACTED ARTICLE: Research on core strength training of aerobics based on artificial intelligence and sensor network

Jia

2020

J Wireless Com Network

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The traditional training system based on case teaching is according to the analysis of past competitions and training cases to carry out the strength training of aerobics special movements. The training results cannot be evaluated intelligently and accurately, and the performance of dynamic analysis is poor. To address this problem, the core training system of strength quality of aerobics special movements based on artificial intelligence is designed to realize the intelligent training of the strength quality of aerobics special movements. Through the study of fuzzy paradigm system, intelligent functions such as optimization and decision-making of intelligent fuzzy network are realized. The design system architecture framework includes the modules of sensor, receiver, database, and analysis decision. The core chip of the system is the main control module of Atmega1280 MCU for manmachine interaction, so as to realize the comprehensive training of the strength quality of aerobics special movements. Information collection module is used to collect information on strength training information such as instrument, movement, and language. The problem of phase distortion in signal transmission process is processed by FIR filter. Through information management module, trainee information management and training results statistics and queries are implemented. In the system software part, the system software structure diagram and system startup and landing procedure are given. By analyzing the working process of the module, the strength of aerobics special movements is analyzed. Experimental results show that the designed system can achieve real-time and stable strength training for aerobics special movements and improve training efficiency.

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Section: Software Designmentioning

confidence: 99%

RETRACTED ARTICLE: Research on core strength training of aerobics based on artificial intelligence and sensor network

Jia

2020

J Wireless Com Network

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“…The edge mainly refers to the region where the local gray scale of the image to be processed is abrupt or the gray value changes sharply [18], [19]. Edge detection techniques are the key of image processing techniques [20], [21]. One of the main detection objects is to detect pixel points with sharp grayscale transformation in the image [22], [23].…”

Section: Introductionmentioning

confidence: 99%

Research on Fault Detection Algorithm of Pantograph Based on Edge Computing Image Processing

2020

IEEE Access

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Traditional pantograph detection technology has installed a large number of various types of sensors on the pantograph, which is not conducive to the flow characteristics of the pantograph. Traditional detection technology can neither monitor the operation status of the pantograph in real time, nor guarantee the safe operation of the entire train. The existing schemes are only manual solutions, and intelligent real-time monitoring is performed without error, and a lot of labor costs are required. Focusing on the shortcomings of traditional pantographs in sliding plate wear and sliding plate crack detection, an improved mean filtering algorithm is proposed to optimize the image of pantograph, and the adaptive Canny edge detection technology is used to accurately calculate the skateboard wear. Firstly, the improved image algorithm is used to pre-treat the pantograph slide wear and crack length, then the improved mean filtering algorithm is combined with adaptive Canny operator for image optimization detection, and finally the edge calculation is used for crack identification. An optimized real-time on-line detection technology is proposed, which can accurately measure the wear and tear of skateboards and cracks. For different experimental environments, the optimization algorithm proposed in this paper is used to detect pantographs in real time. The experimental results show that, compared with the traditional detection algorithm, the detection accuracy of sliding plate wear can reach 0.5 mm, and and that of sliding plate cracks can reach 0.4 mm. The crack recognition accuracy of skates is as high as 93%.INDEX TERMS Adaptive canny edge monitoring, dynamic calibration filtering, pantograph failure detection, second generation curve wave, edge computing.

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Construction of Virtual Reality-Interactive Classroom Based on Deep Learning Algorithm

Chen¹,

Liu²,

Qiao³

et al. 2020

Wireless Communications and Mobile Computing

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The traditional classroom has been impacted by the digital teaching resources. Students are no longer satisfied with the traditional teaching mode of teacher teaching and student learning. Combined with the characteristics of a virtual reality-interactive classroom, the design of a virtual reality-interactive classroom based on the deep learning algorithm is proposed. This paper divides the teaching activities of the VR-interactive classroom into two parts: in-class learning activities and after-class learning activities. The software is used to design the interactive test. The emphasis and difficulty in the virtual reality-interactive classroom are taken as the development object to realize the construction of the virtual reality-interactive classroom. The simulation results show that the statistical output of teaching quality evaluation can be obtained from the quantitative regression analysis of the factors involved in VR classroom participation.

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Study on the Production of Ultra High Strength Steel (UHSS) in Thin Slab Caster

Cited by 5 publications

References 3 publications

RETRACTED ARTICLE: Research on core strength training of aerobics based on artificial intelligence and sensor network

RETRACTED ARTICLE: Research on core strength training of aerobics based on artificial intelligence and sensor network

Research on Fault Detection Algorithm of Pantograph Based on Edge Computing Image Processing

Construction of Virtual Reality-Interactive Classroom Based on Deep Learning Algorithm

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