Research on a reference signal optimisation algorithm for indoor Bluetooth positioning

Luo, Huiwu; Hu, Xinyu; Zou, Youmin; Jing, Xinglei; Song, Chengyi; Ni, Qidong

doi:10.2478/amns.2021.2.00111

Cited by 8 publications

(6 citation statements)

References 18 publications

(16 reference statements)

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“…us, the investor can easily choose the desired portfolio in the real world, where many effective factors such as stock returns are uncertain, in different conditions of uncertainty. Considering a robust multiobjective mathematical model and optimizing stock portfolio are the superiority of this study over Meng-Ren et al [47]; Liu et al [48]; and Luo et al [49]. Also, considering the objectives such as maximizing returns, maximizing liquidity, and minimizing risk are the superiorities of this study over those of Wu et al [50] and Teng et al [51].…”

Section: Discussionmentioning

confidence: 87%

A Robust Multiobjective Mathematical Model Optimizing Stock Portfolio

Sadri

Sadeghi

Zaj

et al. 2022

Discrete Dynamics in Nature and Society

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The present paper investigates the problem of capital portfolio selection under uncertain conditions and uses a robust optimization approach for modeling. The model provided in this paper is a three-objective model that aims to maximize returns, maximize liquidity, and minimize risk. The data extracted from the site of the Tehran Stock Exchange are as follows. These data are related to twenty shares from July 2020 to July 2021. The robust approach used in this research has been analyzed by the real data of the Tehran Stock Exchange and then the optimal portfolio for different robust costs has been formed by solving the robust model. In the following section, the relevant model is solved through real stock market data and using the goal programming approach, and the results are investigated and analyzed.

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Section: Discussionmentioning

confidence: 87%

A Robust Multiobjective Mathematical Model Optimizing Stock Portfolio

Sadri

Sadeghi

Zaj

et al. 2022

Discrete Dynamics in Nature and Society

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show abstract

“…Luo, H., et,al. [29] have discussed The research focuses on developing an optimisation algorithm to improve the accuracy of indoor Bluetooth positioning systems. This algorithm aims to enhance the reference signal selection process by considering multiple factors, such as signal strength and signal quality.…”

Section: Related Wordsmentioning

confidence: 99%

A Novel Method for Recognizing Physical Fitness Signals of Basketball Players Based on Photovoltaic Power Supply

Ma Qing

2024

jes

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This study proposes a novel method for recognizing the physical fitness signals of basketball players using a photovoltaic power supply. The traditional method for measuring physical fitness signals, such as heart rate and oxygen consumption, requires constant monitoring via wired sensors. This method is not suitable for sports like basketball, where player movement can interfere with the sensors and affect the accuracy of the measurements. To address this issue, we developed a small, lightweight device that utilizes a photovoltaic power supply to eliminate the need for wires and allow for seamless monitoring of physical fitness signals. The device can be attached to a player's clothing or equipment, and the energy generated from the photovoltaic power supply is used to power the device and collect data. We conducted a pilot study with professional basketball players and found that our method provided accurate and reliable measurements of physical fitness signals. It opens up new possibilities for sports performance monitoring, as coaches and trainers can now quickly and efficiently track the physical fitness of their players in real time.

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“…After acquiring the human action image data, it is difficult to evaluate the human action directly through these data because the positioning of the human body in the image space is a complex process. ere is a lot of background information in these images that are unrelated to the human action, which needs to be eliminated, and only the human skeleton key point data is retained [16]. OpenPose is a popular open-source library for acquiring 2D skeletal joints of the human body for single or multiperson motion capture and is highly resistant to interference.…”

Section: Related Workmentioning

confidence: 99%

Movement Evaluation Algorithm-Based Form Tracking Technology and Optimal Control of Limbs for Dancers

Chen

2022

Mathematical Problems in Engineering

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This study designs an optimal control model of dance personnel from tracking technology and limb control based on an action evaluation algorithm by constructing a human action evaluation algorithm model and conducting an in-depth study of dance personnel from tracking technology and limb control. This study proposes an OpenPose method based on pose flow optimization to address the false detection of vital human points and misconnection between critical issues in traditional OpenPose-based human pose estimation. The human pose estimation results of OpenPose are optimized by using the human pose flow information in the image sequence. This makes up for the shortcomings of traditional OpenPose that ignores the interframe image information. In this study, we analyze the experimental data of action evaluation, define a set of formulas to evaluate the action after summarizing the distribution pattern of DTW difference sample points from 8 angles, and design an action evaluation system to demonstrate the rationality of this action evaluation method. Since the bases and factors in the evaluation formula are constantly recalculated as the action changes, which increases the complexity of the evaluation method, the following work is to improve the parameters of the activity evaluation formula, so that the evaluation method has better efficiency and adaptability. To enhance the effect of action recognition, this study uses the Kinect sensor to obtain the 3D coordinates of 20 skeletal joints of the human body. It uses the relative distance and angle sequence of the joints as the feature parameters according to the characteristics of human posture. In static pose recognition, the feature vector’s sample set is trained, and the KNN algorithm is used as a classifier to recognize the pose.

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Research on a reference signal optimisation algorithm for indoor Bluetooth positioning

Cited by 8 publications

References 18 publications

A Robust Multiobjective Mathematical Model Optimizing Stock Portfolio

A Robust Multiobjective Mathematical Model Optimizing Stock Portfolio

A Novel Method for Recognizing Physical Fitness Signals of Basketball Players Based on Photovoltaic Power Supply

Movement Evaluation Algorithm-Based Form Tracking Technology and Optimal Control of Limbs for Dancers

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