Most recent issue published online in the International Journal of Product Development.
International Journal of Product Development
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International Journal of Product Development
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International Journal of Product Development
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http://www.inderscience.com/browse/index.php?journalID=36&year=2023&vol=27&issue=4
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An interactive method of digital fitness equipment based on machine learning
http://www.inderscience.com/link.php?id=135739
Aiming at the problems of long operation time, high operation error rate and low user satisfaction in traditional methods, this paper proposes an interactive method of digital fitness equipment based on machine learning. Firstly, the paper designs an interactive platform for digital fitness equipment to collect user data. Then, the consistent convergence model is used to adjust the user's human-computer interaction requirements, the machine learning algorithm is used to design the digital fitness equipment, and the adaptive controller is used to control the user's human-computer interaction behaviour. Finally, the human-computer interaction interface of digital fitness equipment is designed. The experimental results prove that the interactive interface operation time measured by the design method is short, the shortest time is only 2.51 s. The error rate range of interactive interface operation is 0-0.7%, and user satisfaction is high, indicating that this method has a better application effect.
An interactive method of digital fitness equipment based on machine learning
Rui Zhang; Fang Liu; Cheng Wang
International Journal of Product Development, Vol. 27, No. 4 (2023) pp. 293 - 305
Aiming at the problems of long operation time, high operation error rate and low user satisfaction in traditional methods, this paper proposes an interactive method of digital fitness equipment based on machine learning. Firstly, the paper designs an interactive platform for digital fitness equipment to collect user data. Then, the consistent convergence model is used to adjust the user's human-computer interaction requirements, the machine learning algorithm is used to design the digital fitness equipment, and the adaptive controller is used to control the user's human-computer interaction behaviour. Finally, the human-computer interaction interface of digital fitness equipment is designed. The experimental results prove that the interactive interface operation time measured by the design method is short, the shortest time is only 2.51 s. The error rate range of interactive interface operation is 0-0.7%, and user satisfaction is high, indicating that this method has a better application effect.]]>
10.1504/IJPD.2023.135739
International Journal of Product Development, Vol. 27, No. 4 (2023) pp. 293 - 305
Rui Zhang
Fang Liu
Cheng Wang
Sports and Art Department, Bengbu Medical College, Bengbu 233000, China ' Sports and Art Department, Bengbu Medical College, Bengbu 233000, China ' Bengbu Sports Bureau, Bengbu 233000, China
machine learning
human-computer interaction
digital fitness equipment
consistent convergence
adaptive controller
2024-01-04T23:20:50-05:00
Copyright © 2024 Inderscience Enterprises Ltd.
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305
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The 3D animation display of smart products based on Hanoi tower recursive algorithm
http://www.inderscience.com/link.php?id=135740
In the process of using traditional methods to display smart product 3D animation, the image is not pre-processed, resulting in poor animation display effect and low efficiency. Therefore, a smart product 3D animation display method based on the Hanoi Tower recursive algorithm is proposed. Using the weighted average method to gray-scale the 3D image of the smart product, obtain the gray-scale image, and combine the Harris corner detection method to extract the image feature points, and reconstruct the 3D image of the smart product based on the feature extraction results. The Hanoi Tower recursive algorithm is used to construct a 3D animation display model to realise the 3D animation display of smart products. The simulation results show that the 3D animation display image of the smart product of this method has higher clarity, higher display effect and higher display efficiency.
The 3D animation display of smart products based on Hanoi tower recursive algorithm
Qiong Wang
International Journal of Product Development, Vol. 27, No. 4 (2023) pp. 306 - 317
In the process of using traditional methods to display smart product 3D animation, the image is not pre-processed, resulting in poor animation display effect and low efficiency. Therefore, a smart product 3D animation display method based on the Hanoi Tower recursive algorithm is proposed. Using the weighted average method to gray-scale the 3D image of the smart product, obtain the gray-scale image, and combine the Harris corner detection method to extract the image feature points, and reconstruct the 3D image of the smart product based on the feature extraction results. The Hanoi Tower recursive algorithm is used to construct a 3D animation display model to realise the 3D animation display of smart products. The simulation results show that the 3D animation display image of the smart product of this method has higher clarity, higher display effect and higher display efficiency.]]>
10.1504/IJPD.2023.135740
International Journal of Product Development, Vol. 27, No. 4 (2023) pp. 306 - 317
Rui Zhang
Fang Liu
Cheng Wang
University of Science and Technology LiaoNing, Anshan 114051, China
Hanoi tower
recursive algorithm
smart products
3D animation display
graying processing
Harris corner detection
2024-01-04T23:20:50-05:00
Copyright © 2024 Inderscience Enterprises Ltd.
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317
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A fault diagnosis method of intelligent electronic equipment based on dynamic fusion
http://www.inderscience.com/link.php?id=135741
In order to overcome the problems of low accuracy of fault data extraction and long diagnosis time, a fault diagnosis method of intelligent electronic equipment based on dynamic fusion is proposed. Convolution neural network and long-term and short-term memory neural network are dynamically fused to extract the characteristic parameters of intelligent electronic equipment based on neural network. Combined with the principle of feature collection, the fault information of intelligent electronic equipment is collected, the covariance matrix of data noise data is constructed, the key noise is extracted, the noise reduction of fault data is completed, and the fault diagnosis of intelligent electronic equipment is carried out according to the results of fault information fusion and fuzzy kernel c-means clustering. The experimental results show that the highest accuracy of fault data extraction is about 95%, and the shortest time of sample fault data extraction is about 0.5 s.
A fault diagnosis method of intelligent electronic equipment based on dynamic fusion
Jun Qian; Kaijun Nie
International Journal of Product Development, Vol. 27, No. 4 (2023) pp. 318 - 332
In order to overcome the problems of low accuracy of fault data extraction and long diagnosis time, a fault diagnosis method of intelligent electronic equipment based on dynamic fusion is proposed. Convolution neural network and long-term and short-term memory neural network are dynamically fused to extract the characteristic parameters of intelligent electronic equipment based on neural network. Combined with the principle of feature collection, the fault information of intelligent electronic equipment is collected, the covariance matrix of data noise data is constructed, the key noise is extracted, the noise reduction of fault data is completed, and the fault diagnosis of intelligent electronic equipment is carried out according to the results of fault information fusion and fuzzy kernel c-means clustering. The experimental results show that the highest accuracy of fault data extraction is about 95%, and the shortest time of sample fault data extraction is about 0.5 s.]]>
10.1504/IJPD.2023.135741
International Journal of Product Development, Vol. 27, No. 4 (2023) pp. 318 - 332
Jun Qian
Kaijun Nie
Suzhou College of Information Technology, College of Communication and Electronics, Suzhou 215200, China ' Suzhou College of Information Technology, College of Communication and Electronics, Suzhou 215200, China
dynamic fusion
intelligent electronic equipment
noise interference degree
fuzzy kernel c-means clustering
fault diagnosis
2024-01-04T23:20:50-05:00
Copyright © 2024 Inderscience Enterprises Ltd.
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332
2024-01-04T23:20:50-05:00
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Appearance design defect detection of rigid plastic products based on geometric feature extraction
http://www.inderscience.com/link.php?id=135742
In order to overcome the problem of low geometric feature extraction accuracy and defect detection accuracy of traditional appearance design defect detection methods, a new appearance design defect detection method of rigid plastic products based on geometric feature extraction is proposed in this paper. This method first analyses the types of design defects of rigid plastic products, and then extracts the defect area, the length and width of the defect area, the gradient characteristics and shape characteristics of the defect area. Based on the geometric feature extraction results, combined with Gaussian Laplace algorithm, the appearance design defects of rigid plastic products are detected. The experimental results show that compared with the traditional design defect detection methods, this method can accurately extract the geometric features of defects, so as to obtain more accurate defect detection results, and the maximum defect detection accuracy can reach 97%.
Appearance design defect detection of rigid plastic products based on geometric feature extraction
Jianglin Hua; Yuansheng Liu
International Journal of Product Development, Vol. 27, No. 4 (2023) pp. 333 - 343
In order to overcome the problem of low geometric feature extraction accuracy and defect detection accuracy of traditional appearance design defect detection methods, a new appearance design defect detection method of rigid plastic products based on geometric feature extraction is proposed in this paper. This method first analyses the types of design defects of rigid plastic products, and then extracts the defect area, the length and width of the defect area, the gradient characteristics and shape characteristics of the defect area. Based on the geometric feature extraction results, combined with Gaussian Laplace algorithm, the appearance design defects of rigid plastic products are detected. The experimental results show that compared with the traditional design defect detection methods, this method can accurately extract the geometric features of defects, so as to obtain more accurate defect detection results, and the maximum defect detection accuracy can reach 97%.]]>
10.1504/IJPD.2023.135742
International Journal of Product Development, Vol. 27, No. 4 (2023) pp. 333 - 343
Jianglin Hua
Yuansheng Liu
Department of Art and Design, Jiangsu Vocational College of Information Technology, Wuxi 214153, China ' Department of Journalism and Communication, Anhui Vocational College of Press and Publication, Hefei 230601, China
geometric feature extraction
rigid plastic products
appearance design
defect detection
2024-01-04T23:20:50-05:00
Copyright © 2024 Inderscience Enterprises Ltd.
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333
343
2024-01-04T23:20:50-05:00
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Expression capture of virtual reality equipment based on expression weighted distance SLLE
http://www.inderscience.com/link.php?id=135743
In order to overcome the problems of long time-consuming and high error in traditional expression capture methods, an expression capture method for virtual reality devices based on expression weighted distance SLLE is proposed. The LM algorithm is used to generate the virtual viewpoint of facial expression, and the adaptive weighted LDP method is used to process the facial expression features, remove the redundant information and retain the key features of the image. Considering the differences between different image types and viewpoints, the weighted distance SLLE method is used to capture facial expression images. Experimental results show that this method can effectively capture the viewpoint in facial expression, and the time is short and the expression capture error is small.
Expression capture of virtual reality equipment based on expression weighted distance SLLE
Shuitian Yan
International Journal of Product Development, Vol. 27, No. 4 (2023) pp. 344 - 355
In order to overcome the problems of long time-consuming and high error in traditional expression capture methods, an expression capture method for virtual reality devices based on expression weighted distance SLLE is proposed. The LM algorithm is used to generate the virtual viewpoint of facial expression, and the adaptive weighted LDP method is used to process the facial expression features, remove the redundant information and retain the key features of the image. Considering the differences between different image types and viewpoints, the weighted distance SLLE method is used to capture facial expression images. Experimental results show that this method can effectively capture the viewpoint in facial expression, and the time is short and the expression capture error is small.]]>
10.1504/IJPD.2023.135743
International Journal of Product Development, Vol. 27, No. 4 (2023) pp. 344 - 355
Jianglin Hua
Yuansheng Liu
Department of Photography, LuXun Academy of Fine Arts, Shenyang 110004, China
expression weighted distance SLLE
virtual reality equipment
expression capture
adaptive weighting
face viewpoint
2024-01-04T23:20:50-05:00
Copyright © 2024 Inderscience Enterprises Ltd.
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355
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Double fingerprint accurate identification method of intelligent door lock based on spatio-temporal information feature fusion
http://www.inderscience.com/link.php?id=135744
Aiming at the problems of low recognition accuracy and large feature extraction error in the dual fingerprint recognition of intelligent door lock, a dual fingerprint accurate recognition method of intelligent door lock based on spatio-temporal information feature fusion is proposed. Set the standardised form of dual fingerprint image, calculate the gray mean and variance of fingerprint image, and complete fingerprint image pre-processing. According to the coordinate relationship of the dual fingerprint direction field of the intelligent door lock, the dual fingerprint block of the intelligent door lock is divided, and the feature extraction is completed by solving the gradient value of the dual fingerprint block. The temporal and spatial features of fingerprint images are fused, and the fusion results are corrected with the help of calibration function to complete accurate fingerprint identification. The results show that the recognition accuracy of the proposed method is good.
Double fingerprint accurate identification method of intelligent door lock based on spatio-temporal information feature fusion
Liuping Cai; Fenghui Huang
International Journal of Product Development, Vol. 27, No. 4 (2023) pp. 356 - 369
Aiming at the problems of low recognition accuracy and large feature extraction error in the dual fingerprint recognition of intelligent door lock, a dual fingerprint accurate recognition method of intelligent door lock based on spatio-temporal information feature fusion is proposed. Set the standardised form of dual fingerprint image, calculate the gray mean and variance of fingerprint image, and complete fingerprint image pre-processing. According to the coordinate relationship of the dual fingerprint direction field of the intelligent door lock, the dual fingerprint block of the intelligent door lock is divided, and the feature extraction is completed by solving the gradient value of the dual fingerprint block. The temporal and spatial features of fingerprint images are fused, and the fusion results are corrected with the help of calibration function to complete accurate fingerprint identification. The results show that the recognition accuracy of the proposed method is good.]]>
10.1504/IJPD.2023.135744
International Journal of Product Development, Vol. 27, No. 4 (2023) pp. 356 - 369
Liuping Cai
Fenghui Huang
College of Information Engineering, Guangzhou PanYu Polytechnic, 1342 Shiliang Road, PanYu District, Guangzhou 511483, China; Graduate School Department, St. Paul University Philippines, Mabini Street, Tuguegarao City, 3500 Cagayan, Philippines ' Guangdong Vocational College of Environmental Protection Engineering Training Center, No.98, Guidan Xi Road, Nanhai District, Foshan 528216, Guangdong, China
spatiotemporal information feature fusion
intelligent door lock
double fingerprint
equalisation
calibration function
2024-01-04T23:20:50-05:00
Copyright © 2024 Inderscience Enterprises Ltd.
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356
369
2024-01-04T23:20:50-05:00
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A real-time acquisition method of local change features of 3D animation considering product design
http://www.inderscience.com/link.php?id=135745
In order to improve the poor matching effect of traditional feature acquisition methods, a real-time feature acquisition method of 3D animation local changes considering product design is proposed in this paper. Firstly, the local variation characteristics of the animation are described according to the product design concept. Then, the information transferred in the design of the product is analysed, and the anti-noise ability of the change feature descriptor is fitted by Gaussian difference function. Finally, the expression factor of product appearance is transformed into the extreme point information of the change feature, and the extreme point equation of the local change feature is obtained. The real-time collection of local variation features is realised by considering product design rules. The results show that the matching effect of the proposed method is 200 dimensions higher than that of traditional methods, and the recognition rate is 10-40% higher than that of traditional methods.
A real-time acquisition method of local change features of 3D animation considering product design
Weijia Chai; Zhiqiang Yue
International Journal of Product Development, Vol. 27, No. 4 (2023) pp. 370 - 383
In order to improve the poor matching effect of traditional feature acquisition methods, a real-time feature acquisition method of 3D animation local changes considering product design is proposed in this paper. Firstly, the local variation characteristics of the animation are described according to the product design concept. Then, the information transferred in the design of the product is analysed, and the anti-noise ability of the change feature descriptor is fitted by Gaussian difference function. Finally, the expression factor of product appearance is transformed into the extreme point information of the change feature, and the extreme point equation of the local change feature is obtained. The real-time collection of local variation features is realised by considering product design rules. The results show that the matching effect of the proposed method is 200 dimensions higher than that of traditional methods, and the recognition rate is 10-40% higher than that of traditional methods.]]>
10.1504/IJPD.2023.135745
International Journal of Product Development, Vol. 27, No. 4 (2023) pp. 370 - 383
Weijia Chai
Zhiqiang Yue
Admission and Employment Office, Jiaozuo Normal College, Jiaozuo 454100, Henan Province, China ' Academy of Fine Arts, Jiaozuo Normal College, Jiaozuo 454100, Henan Province, China
product design
3D animation
local variation characteristics
real-time acquisition
data collection
sampling method
2024-01-04T23:20:50-05:00
Copyright © 2024 Inderscience Enterprises Ltd.
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Research on secure storage data access control of smart TV based on blockchain
http://www.inderscience.com/link.php?id=135746
In order to solve the problems of low data security, access control accuracy and long data query time existing in traditional data access control methods, this paper proposes a secure storage data access control of smart TV based on blockchain. Firstly, the naive Bayesian algorithm is used to calculate the posterior probability according to the data safety level. Secondly, the category corresponding to the maximum posterior probability is regarded as the category of the data, and the data classification is realised by iterative calculation. Finally, on the basis of data classification, different categories of smart TV secure storage data access control are realised through ciphertext encryption, data decryption, access policy update and other steps based on blockchain. Experimental results show that the method has high data security, the average accuracy of data access control is 96.3%, and the data query time is always less than 0.5 s.
Research on secure storage data access control of smart TV based on blockchain
Jianxin Qiu
International Journal of Product Development, Vol. 27, No. 4 (2023) pp. 384 - 396
In order to solve the problems of low data security, access control accuracy and long data query time existing in traditional data access control methods, this paper proposes a secure storage data access control of smart TV based on blockchain. Firstly, the naive Bayesian algorithm is used to calculate the posterior probability according to the data safety level. Secondly, the category corresponding to the maximum posterior probability is regarded as the category of the data, and the data classification is realised by iterative calculation. Finally, on the basis of data classification, different categories of smart TV secure storage data access control are realised through ciphertext encryption, data decryption, access policy update and other steps based on blockchain. Experimental results show that the method has high data security, the average accuracy of data access control is 96.3%, and the data query time is always less than 0.5 s.]]>
10.1504/IJPD.2023.135746
International Journal of Product Development, Vol. 27, No. 4 (2023) pp. 384 - 396
Weijia Chai
Zhiqiang Yue
Henan Polytechnical Institute, Henan, Nanyang 473000, China
blockchain
smart TV
secure storage of data
access control
naive Bayesian algorithm
ciphertext encryption
data decryption
2024-01-04T23:20:50-05:00
Copyright © 2024 Inderscience Enterprises Ltd.
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384
396
2024-01-04T23:20:50-05:00
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A colour enhancement method of plane image based on the interactive interface of mobile smart devices
http://www.inderscience.com/link.php?id=135747
When using the existing methods to enhance the image colour of the interactive interface of mobile intelligent devices, there are some problems, such as long enhancement time, easy to produce image distortion and so on. Therefore, a colour enhancement method for planar image of interactive interface of mobile intelligent device is proposed. The target image is collected by image sensor, the plane image is transformed from high-dimensional subspace to low-dimensional subspace, the linear map is established, the projection distance between each single pixel in the image to be processed is obtained, and the image is processed by local dimension reduction method to complete the pre-processing. The histogram method is used to adaptively adjust the dark area in the interface, and the enhancement is completed by mapping function and median filter method. The results show that this method has low image distortion rate and short time in image enhancement processing.
A colour enhancement method of plane image based on the interactive interface of mobile smart devices
Jianjun Wang
International Journal of Product Development, Vol. 27, No. 4 (2023) pp. 397 - 407
When using the existing methods to enhance the image colour of the interactive interface of mobile intelligent devices, there are some problems, such as long enhancement time, easy to produce image distortion and so on. Therefore, a colour enhancement method for planar image of interactive interface of mobile intelligent device is proposed. The target image is collected by image sensor, the plane image is transformed from high-dimensional subspace to low-dimensional subspace, the linear map is established, the projection distance between each single pixel in the image to be processed is obtained, and the image is processed by local dimension reduction method to complete the pre-processing. The histogram method is used to adaptively adjust the dark area in the interface, and the enhancement is completed by mapping function and median filter method. The results show that this method has low image distortion rate and short time in image enhancement processing.]]>
10.1504/IJPD.2023.135747
International Journal of Product Development, Vol. 27, No. 4 (2023) pp. 397 - 407
Weijia Chai
Zhiqiang Yue
Art College of Jiangxi Teachers College, Yingtan 335000, China
mobile smart device
interactive interface
plane image
colour enhancement
image acquisition
2024-01-04T23:20:50-05:00
Copyright © 2024 Inderscience Enterprises Ltd.
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397
407
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