RETRCATED ARTICLE: Different loading condition and angle measurement of human lumbar spine MRI image using ANSYS

Punarselvam, E.; Sikkandar, Mohamed Yacin; Bakouri, Mohsen; Prakash, N. B.; Jayasankar, T.; Sudhakar, Shiv

doi:10.1007/s12652-020-01939-7

Cited by 18 publications

(9 citation statements)

References 11 publications

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“…• Total deformation: this is the change in an object when there is a force applied. Authors such as Punarselvam et al [31] stated that this is the most valuable parameter to analyse the stresses.…”

Section: Resultsmentioning

confidence: 99%

Parameterisation and Optimisation of a Hand-Rake Sweeper: Application in Olive Picking

et al. 2020

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Olive picking is one of the most common social agricultural activities in many regions of Andalusia where the predominant crop is the traditional olive grove. The machinery used includes shakers, blowers and essential, low-cost hand-rake sweepers. The latter are generally used by the women of the squads to sweep the olives that fall from the trees. This article is focused on the design and optimisation of a hand-rake sweeper, in terms of durability and cost, for the picking of olives and other fruits, such as almonds, which are currently the main alternative to nonperennial crops in Andalusia. A parametric design of a hand-rake sweeper was created for this application using the design software CATIA, and its most vulnerable points were analysed in terms of effectiveness with varying design parameters, conducting usage simulations with ANSYS for a light material such as polypropylene. The maximum von Mises stress of the whole structure was 155.81 MPa. Using ANSYS, the dimension parameters of the hand-rake sweeper structure were optimised. The modified design was analysed again, showing a reduction of maximum tensions of 10.06%, as well as a decrease in its maximum elongations (0.0181 mm).

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Section: Resultsmentioning

confidence: 99%

Parameterisation and Optimisation of a Hand-Rake Sweeper: Application in Olive Picking

et al. 2020

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“…Intelligence System [11]. Based on this, scientists have developed a statistical-based expert system technology that can perform calculations on large amounts of data and run probabilistic analysis.…”

Section: Application Of Computer Artificialmentioning

confidence: 99%

“…In this case, artificial intelligence begins to play a role [10], which has become an important direction for the development of information technology. Artificial intelligence technologies that are currently being explored in greater depth include expert systems, machine learning, and neural networks [11]. e application of these new technologies in computer technology, on the one hand, can meet the needs of information system users to a certain extent; on the other hand, it will also contribute to the development of informatics [12][13][14][15].…”

Section: Introductionmentioning

confidence: 99%

Improved Dynamic PPI Network Construction and Application of Data Mining in Computer Artificial Intelligence Systems

Tang

2022

Scientific Programming

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The protein interaction network is a network composed of the interactions between all proteins in living organisms. The use of computational methods to prove the functional modules in the PPI network is an important research topic in bioinformatics. With the development of technologies for detecting protein interactions, the available data on interactions has become more and more extensive, and the PPI networks created have become more and more extensive. At the same time, with the deepening of research, people have found that the real PPI network is constantly changing with time and conditions and this change is closely related to the creation and development of life activities. Therefore, it is also very important and necessary to understand and study the functional modules of the PPI dynamic network. At the same time, it focuses on analyzing the basic attributes of artificial intelligence and computer technology and analyzing the goals that can be achieved by using artificial intelligence in computer technology. The effects and directions that can be further explored can be extracted from a large amount of unrealistic, incomplete, fuzzy, and random actual data. These data are hidden from people who do not know them before , but this is a potentially useful process for obtaining information and knowledge. Applying data mining technology to diagnose computer network problems can improve reliability, stability, flexibility, troubleshooting speed, and proper network management, automatically diagnose, predict, and maintain network failures, and ensure that the network has high-quality services and reliability. Drive AI applications in computer science.

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“…Total deformation: this is the change in an object when there is a force applied. Authors such as Punarselvam et al [19] stated that this is the most valuable parameter to analyse the stresses.…”

Section: Design Optimisationmentioning

confidence: 99%

Parameterisation and Optimisation of a Hand-Rake Sweeper: Application in Olive Picking

Fernández¹,

Carranza-Cañadas²,

García-Salcedo³

et al. 2020

Preprint

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Olive picking is one of the most common social agricultural activities in many regions of Andalusia where the predominant crop is the traditional olive grove. The machinery used includes shakers, blowers and an essential low-cost type: hand-rake sweepers. The latter are generally used by the women of the squads to sweep the olives that fall from the trees. This article is focused on the design and optimisation of a hand-rake sweeper, in terms of durability and cost, for the picking of olives and other fruits, such as almonds, which are currently the main alternative to non-perennial crops in Andalusia. A parametric design of a hand-rake sweeper was created for this application using the design software CATIA, and its most vulnerable points were analysed in terms of effectiveness with varying design parameters, conducting usage simulations with ANSYS for a light material such as polypropylene. The maximum von Mises stress of the whole structure was 155.81 MPa. Using ANSYS, the dimension parameters of the hand-rake sweeper structure were optimised. The modified design was analysed again, showing a reduction of maximum tensions of 10.06%, as well as a decrease in its maximum elongations (0.0181 mm).

show abstract

RETRCATED ARTICLE: Different loading condition and angle measurement of human lumbar spine MRI image using ANSYS

Cited by 18 publications

References 11 publications

Parameterisation and Optimisation of a Hand-Rake Sweeper: Application in Olive Picking

Parameterisation and Optimisation of a Hand-Rake Sweeper: Application in Olive Picking

Improved Dynamic PPI Network Construction and Application of Data Mining in Computer Artificial Intelligence Systems

Parameterisation and Optimisation of a Hand-Rake Sweeper: Application in Olive Picking

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