Non-invasive (non-contact) measurements of human thermal physiology signals and thermal comfort/discomfort poses -A review

Yang, Bin; Li, Xiaojing; Hou, Yingzhen; Meier, Alan; Cheng, Xiaogang; Choi, Joon-Ho; Wang, Faming; Wang, Huan; Wagner, Andreas; Yan, Da; Li, Angui; Olofsson, Thomas; Li, Haibo

doi:10.1016/j.enbuild.2020.110261

Cited by 137 publications

(36 citation statements)

References 69 publications

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“…Factor analysis is a common analytical method to test the validity of the facet. rough exploratory factor analysis, on the one hand, the facet validity of the questionnaire can be tested; on the other hand, the common factors of the observed variables can be clustered to achieve the purpose of compressing variables [26][27][28][29]. e factor analysis method first needs to determine the questionnaire items for the KMO test and Bartlett sphere test.…”

Section: Results Analysismentioning

confidence: 99%

[Retracted] Evaluation and Numerical Simulation of Music Education Informationization Based on the Local Linear Regression Method

Liu

2021

Complexity

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The study of this theoretical problem enables sparse or dense functional data, including educational information evaluation data. The choice of different weights is subjected to principal component analysis. The evaluation of music education informatization level mainly evaluates the status quo of music education informatization development, provides a basis for formulating and adjusting music education informatization development policies, and provides support for educational decision-making, to promote the sustainable and balanced development of music education informatization. The evaluation of music education informatization has become the key promotion work of music education informatization at this stage. This paper studies the convergence rate of functional principal components based on the local linear method under general weighting conditions. First, we introduce the related research on the estimation of mean and covariance function under general weighting. Secondly, for principal functional components under general weighting, namely, eigenvalues and eigen functions, the text gives the corresponding estimated values and derives its strong uniform convergence rate. Finally, the convergence rate was verified by simulation research. The estimation methods and conclusions of this article enrich the research of functional linear regression models and will help analyze the complex and changeable problems encountered in the application of music education information.

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Section: Results Analysismentioning

confidence: 99%

[Retracted] Evaluation and Numerical Simulation of Music Education Informationization Based on the Local Linear Regression Method

Liu

2021

Complexity

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“…Using Naive Bayes method to model user consumption behaviour, our definition of user consumption behaviour is to establish hypothesis. e browsing behaviour on the e-commerce platform is generated because users have consumer demand and the final purchase of users depends on whether users browse the goods that meet the consumer demand or not [27][28][29][30]. erefore, we can model the user's consumption behaviour from the satisfaction degree of the characteristics of each product to the user's consumption demand.…”

Section: Parameter Estimation Of Naive Bayes Methodmentioning

confidence: 99%

[Retracted] Big Data‐Based E‐Commerce Transaction Information Collection Method

Yan

et al. 2021

Complexity

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With the rapid development of e-commerce industry, online shopping has become a craze. With the rapid growth of transaction volume on e-commerce platforms, a large amount of transaction data has been accumulated. From the transaction information of these users, a lot of very valuable information can be mined, such as the defects of products and the actual needs of users. In view of the existing e-commerce transaction information collection method is not mature, in this paper, the electric business platform system architecture planning and design increases the function management module. In this paper, a new Naive Bayes model is established by using HBase distributed database instead of traditional database. Based on the optimization and extraction of the important transaction information in the product, the dataset of e-commerce transaction information is updated. Through the efficiency test of the collection method, the information scalability ability test, and the accuracy test, the important context was sorted out after integration, the sources of trading information were sorted out, and the data analysis of the collected information was conducted to optimize the information collection method and verify the feasibility of the method.

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“…Tarkas et al's experimental study on the effect of anterior cruciate ligament severance on the stress of the posterior horn of the medial meniscus found that, after the anterior cruciate ligament was severed, the stress on the posterior horn of the medial meniscus increased by 160% to 470% on average. The corners are subject to excessive load and are easily damaged [ 7 , 8 ]. ANM found that when applying anteroposterior force to the normal knee joint, the cruciate ligament is tightened before the meniscus takes effect, and the meniscus is less involved in blocking, but after the anterior cruciate ligament is ruptured, the tibia moves forward, and the posterior angle of the medial meniscus is filled between the tibial plateau and the femoral condyle, which acts as a wedge shape and prevents the tibia from moving further forward [ 9 ].…”

Section: Introductionmentioning

confidence: 99%

Artificial Intelligence in Repairing Meniscus Injury in Football Sports with Perovskite Nanobiomaterials

Wang

2021

Journal of Healthcare Engineering

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Knee meniscus injuries are more likely to occur in young adults in clinical practice, and their lower age of onset and greater impact on joint function after injury also put forward higher requirements for the treatment and rehabilitation of meniscus injuries. With the rapid development of artificial intelligence technology and arthroscopic minimally invasive technology, arthroscopic meniscus plasty and perovskite nanobiomaterial repair have gradually replaced the previous open meniscus surgery of the knee joint and has become the main method of meniscus injury treatment, and the perovskite nanobiomaterial repair technique that incorporates artificial intelligence technology is also gradually being applied. Therefore, this article studies the role of perovskite nanobiomaterials in the repair of meniscus injuries in football sports and analyzes the biological characteristics of the inner and outer meniscus to provide help to improve the healing rate of meniscus injuries. The study selected six male meniscus-injured patients (meniscus injuries caused by football sports) and obtained six injured menisci. The same cross section of the same part of the meniscus was analyzed inside and outside the meniscus. At the same time, a meniscal injury step was performed on the patient. The biological characteristics of perovskite nano-biomaterials in the repair of meniscus injuries in football sports were compared and analyzed, and the patient's gait before and after surgery was also compared. Experiments have shown that the percentage of the postoperative support phase of the affected limb is significantly higher than that before surgery ( P < 0.05 ), the percentage of the postoperative support phase and flatfoot phase decreased compared with that before surgery, and the gait cycle parameters of both lower extremities improved after surgery, obviously ( P < 0.05 ). It explains that the arthroscopic repair of perovskite nanobiomaterials combined with the artificial intelligence technology to repair the meniscus anterior angle injury is simple and does not require special equipment, has fewer complications, is safe and reliable, and has a high clinical healing rate and a high patient satisfaction rate after surgery. The curative effect is significant; artificial intelligence technology and the application of perovskite nanobiomaterials provide more possibilities for meniscus repair.

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Non-invasive (non-contact) measurements of human thermal physiology signals and thermal comfort/discomfort poses -A review

Abstract: Non-invasive (non-contact) measurements of human thermal physiology signals and thermal comfort/discomfort poses-A review

Cited by 137 publications

References 69 publications

[Retracted] Evaluation and Numerical Simulation of Music Education Informationization Based on the Local Linear Regression Method

[Retracted] Evaluation and Numerical Simulation of Music Education Informationization Based on the Local Linear Regression Method

[Retracted] Big Data‐Based E‐Commerce Transaction Information Collection Method

Artificial Intelligence in Repairing Meniscus Injury in Football Sports with Perovskite Nanobiomaterials

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