Status Analysis and Future Development Planning of Fitness APP Based on Intelligent Word Frequency Analysis
In order to analyze the current situation analysis and future development plan of fitness APP, this paper analyzes the current situation of fitness APP combined with the intelligent word frequency analysis algorithm. In order to deal with the problem that the existing qPMS algorithm is very time-con...
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| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2022-01-01
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| Series: | Journal of Electrical and Computer Engineering |
| Online Access: | http://dx.doi.org/10.1155/2022/5190979 |
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| _version_ | 1832553684572045312 |
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| author | Siqiu Wang Shengze Wang |
| author_facet | Siqiu Wang Shengze Wang |
| author_sort | Siqiu Wang |
| collection | DOAJ |
| description | In order to analyze the current situation analysis and future development plan of fitness APP, this paper analyzes the current situation of fitness APP combined with the intelligent word frequency analysis algorithm. In order to deal with the problem that the existing qPMS algorithm is very time-consuming to discover motifs in the large DNA sequence dataset D, a structural motif discovery algorithm for large DNA sequence datasets, SMS, is proposed. Moreover, this paper performs motif discovery by mining substrings with high frequency in the input sequence. Through data research, it can be seen that the fitness APP based on intelligent word frequency analysis proposed in this paper has good results. On this basis, this paper analyzes the problems existing in the existing fitness APP and provides suggestions for its future development. |
| format | Article |
| id | doaj-art-6a7378b4bf0d4a29b16a8a4b679d1dec |
| institution | Kabale University |
| issn | 2090-0155 |
| language | English |
| publishDate | 2022-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Journal of Electrical and Computer Engineering |
| spelling | doaj-art-6a7378b4bf0d4a29b16a8a4b679d1dec2025-02-03T05:53:27ZengWileyJournal of Electrical and Computer Engineering2090-01552022-01-01202210.1155/2022/5190979Status Analysis and Future Development Planning of Fitness APP Based on Intelligent Word Frequency AnalysisSiqiu Wang0Shengze Wang1College of Mechanical EngineeringCollege of Mechanical EngineeringIn order to analyze the current situation analysis and future development plan of fitness APP, this paper analyzes the current situation of fitness APP combined with the intelligent word frequency analysis algorithm. In order to deal with the problem that the existing qPMS algorithm is very time-consuming to discover motifs in the large DNA sequence dataset D, a structural motif discovery algorithm for large DNA sequence datasets, SMS, is proposed. Moreover, this paper performs motif discovery by mining substrings with high frequency in the input sequence. Through data research, it can be seen that the fitness APP based on intelligent word frequency analysis proposed in this paper has good results. On this basis, this paper analyzes the problems existing in the existing fitness APP and provides suggestions for its future development.http://dx.doi.org/10.1155/2022/5190979 |
| spellingShingle | Siqiu Wang Shengze Wang Status Analysis and Future Development Planning of Fitness APP Based on Intelligent Word Frequency Analysis Journal of Electrical and Computer Engineering |
| title | Status Analysis and Future Development Planning of Fitness APP Based on Intelligent Word Frequency Analysis |
| title_full | Status Analysis and Future Development Planning of Fitness APP Based on Intelligent Word Frequency Analysis |
| title_fullStr | Status Analysis and Future Development Planning of Fitness APP Based on Intelligent Word Frequency Analysis |
| title_full_unstemmed | Status Analysis and Future Development Planning of Fitness APP Based on Intelligent Word Frequency Analysis |
| title_short | Status Analysis and Future Development Planning of Fitness APP Based on Intelligent Word Frequency Analysis |
| title_sort | status analysis and future development planning of fitness app based on intelligent word frequency analysis |
| url | http://dx.doi.org/10.1155/2022/5190979 |
| work_keys_str_mv | AT siqiuwang statusanalysisandfuturedevelopmentplanningoffitnessappbasedonintelligentwordfrequencyanalysis AT shengzewang statusanalysisandfuturedevelopmentplanningoffitnessappbasedonintelligentwordfrequencyanalysis |