 Subjects -> CONSERVATION (Total: 128 journals)
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- Application of blockchain-based data pre-processing algorithm in
motion analysis system-
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Authors: José Alberto Solis-Navarrete, Saray Bucio-Mendoza, Cinthia Fabiola Ruiz-López, Laura Isabel Nava-Acevedo
Pages: 503 - 523
Abstract: Databases and data warehouses are very susceptible to the intrusion of noisy data. The existence of noisy data has a great impact on the speed and quality of data information mining. This article aims to study a motion analysis system based on blockchain-based data pre-processing algorithms, and proposes the application method of data pre-processing algorithms in motion analysis training. This article analyses related content such as data pre-processing algorithms, sports training, and motion analysis systems, and conducts experiments on a motion analysis system based on blockchain-based data pre-processing algorithms. The experimental results show that the sports analysis system based on the data pre-processing algorithm can analyse the various states of the athletes during the exercise, and can effectively point out some deficiencies in the training process, which is beneficial to improve the training effect of the athletes, especially it is a 7% increase in improving the athlete's maximum physical state value.
Keywords: blockchain technology; data pre-processing; sports analysis system; sports training; data noise reduction
Citation: International Journal of Global Energy Issues, Vol. 45, No. 6 (2023) pp. 503 - 523
PubDate: 2023-10-03T23:20:50-05:00
DOI: 10.1504/IJGEI.2023.133805
Issue No: Vol. 45, No. 6 (2023)
- Fusion analysis of sports data based on smart sensors and blockchain
technology-
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Authors: José Alberto Solis-Navarrete, Saray Bucio-Mendoza, Cinthia Fabiola Ruiz-López, Laura Isabel Nava-Acevedo
Pages: 524 - 541
Abstract: Smart sensors are sensors with data processing functions. They are equipped with microprocessors capable of collecting, processing and exchanging data, and are the product of the integration of sensors and microprocessors. This article aims to study the impact of smart sensors and blockchain technology on sports data fusion, and introduces a hierarchical model of sports athletes corresponding to the motion capture data. A human motion coordination system and reliable construction algorithm based on reliability and probability are proposed. This paper also proposes a data integration algorithm that enables applications in blockchain technology to run at a high speed, which extends the life cycle of network sensors to a certain extent. Blockchain technology is to use blockchain data structure to verify and store data, use distributed node consensus algorithm to generate and update data, use cryptography to ensure the security of data transmission and access, and use smart contracts composed of automated script codes. The experimental results of this article show that through the dynamic analysis algorithm of the smart sensor, it can be obtained that the visual range of the motion data is 22.5, and the network space value is 200. At the same time, it also shows that the use of distributed compressed sensing technology in blockchain technology can reduce the amount of information transmission in some aspects, and improve the speed and accuracy of data fusion.
Keywords: smart sensors; blockchain technology; data fusion; sports data
Citation: International Journal of Global Energy Issues, Vol. 45, No. 6 (2023) pp. 524 - 541
PubDate: 2023-10-03T23:20:50-05:00
DOI: 10.1504/IJGEI.2023.133804
Issue No: Vol. 45, No. 6 (2023)
- Distributed energy system based on comprehensive utilisation of solar
energy and biomass energy-
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Authors: Dexia Kong, Zhiqiang Yao, Yihao Duan, Yulei Zhao
Pages: 542 - 560
Abstract: Traditional energy is mostly non-renewable energy. The main advantage of distributed energy system is to use it in cogeneration of cooling, heating and power. Distributed energy takes into account the two factors of energy saving and environmental protection. Breaking the traditional single power supply, heating or cooling method has become the best way to adjust the energy structure, and has broad market application prospects. In order to understand the utilisation of solar energy and bio-intelligence, this paper collects a large number of scattered energy data information on site in real time, uses high-speed communication network to transmit data, relies on real-time database technology to process the measured data, and uses visual programming configuration tools to quickly, accurately and reliably obtain energy management information. The dimensional division and system configuration of energy management are classified in detail, and the design and development of system functions such as data collection and storage, data statistics and analysis, status monitoring and alarms have been completed. The results of the study found that, based on solar energy and biomass, the cooling time of internal combustion engines and gas turbines is basically the same, but the energy consumed by internal combustion engines is about 10% higher than that of gas turbines.
Keywords: solar energy; biological intelligence; comprehensive utilisation; distributed energy system
Citation: International Journal of Global Energy Issues, Vol. 45, No. 6 (2023) pp. 542 - 560
PubDate: 2023-10-03T23:20:50-05:00
DOI: 10.1504/IJGEI.2023.133802
Issue No: Vol. 45, No. 6 (2023)
- Smart city traffic evaluation system based on neural network model
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Authors: Dexia Kong, Zhiqiang Yao, Yihao Duan, Yulei Zhao
Pages: 561 - 585
Abstract: Based on the basic connotation of green transportation and reorganisation and the five-in-one theory of green transportation, the article constructs an evaluation index system for urban green transportation, proposes an evaluation model based on BP neural network, and tests it. The article verifies the efficiency and rationality of this method, determines the number of network layers, transfer function, training function, hidden layer neurons, and provides a feasible evaluation program, uses MATLAB Neural Network Toolbox (NNT) to design the calculation network, and uses sample training for simulation testing. From the results, it can be seen that the accuracy of the urban ecological transportation BP neural network evaluation model is relatively high. The training accuracy can reach 3.4*10<SUP align=right>−3</SUP> magnitude, the output accuracy can reach 10<SUP align=right>−4</SUP> magnitude, and the error of the model is within a predetermined range. The strategic measures for the development of urban ecological transportation are proposed.
Keywords: urban ecological transport; ecological transport evaluation; index system; neural network model
Citation: International Journal of Global Energy Issues, Vol. 45, No. 6 (2023) pp. 561 - 585
PubDate: 2023-10-03T23:20:50-05:00
DOI: 10.1504/IJGEI.2023.133807
Issue No: Vol. 45, No. 6 (2023)
- A Monte Carlo simulation for electron scattering and collision for
electron transport in low-temperature plasmas-
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Authors: Dexia Kong, Zhiqiang Yao, Yihao Duan, Yulei Zhao
Pages: 586 - 601
Abstract: Owing to the lack of equilibrium between electrons and neutral species and ions and the electrons themselves, the electron velocity distribution function in partially ionised plasmas deviates substantially from a Maxwellian value. Electrons are also out of thermal equilibrium with one another and with neutral species and ions. Low-temperature non-equilibrium plasma technology is now widely used. The employment of plasma modelling considerably improves their understanding, progress, or optimisation. To successfully portray plasma characteristics as a function of external influences, electron and ion collisions and transmissions with neutral substances must be well described. We provide free MATLAB code for modelling electron transport in a uniform electric field in any gas combination. The program gives a coefficient, reaction rate, or electron energy division function for steady-state electron transmission. The program is compatible with electron cross-sectional files generated using the Monte Carlo method. The program uses well-known Monte Carlo methods and works with open-access electron scattering cross-sections. The LXCat Plasma Data Share Project aims to exchange plasma data.
Keywords: electrons; electron scattering; Monte Carlo simulation; gas; collision; LXCat; Plasma Data Share Project
Citation: International Journal of Global Energy Issues, Vol. 45, No. 6 (2023) pp. 586 - 601
PubDate: 2023-10-03T23:20:50-05:00
DOI: 10.1504/IJGEI.2023.133806
Issue No: Vol. 45, No. 6 (2023)
- Voiceprint recognition and cloud computing data network security based on
scheduling joint optimisation algorithm-
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Authors: Dexia Kong, Zhiqiang Yao, Yihao Duan, Yulei Zhao
Pages: 602 - 626
Abstract: Cloud computing is an upcoming revolution in the information technology industry due to its performance, accessibility, low cost, and many other luxury items. This is a way to maximise capacity without investing in new infrastructure, training new personnel, or licensing new software, for it provides customers with huge data storage and faster calculation speed through the internet. With the popularity of cloud computing, users store and share confidential data in the cloud, and this approach makes data security an important and difficult issue. In order to ensure data security, cloud service providers must provide efficient and feasible mechanisms to provide reliable encryption methods and appropriate access control systems. This paper takes this as the main research content, focusing on the resource scheduling algorithm and its performance optimisation, voiceprint recognition technology and its optimisation, and the joint optimisation scheduling algorithm for the cloud data network security centre. The research proves that the performance of the voiceprint recognition and cloud computing data network system based on the genetic quantum particle optimisation joint scheduling algorithm proposed in this paper has been improved. It takes the system's network convergence speed as an index, and when the path scheme reuse rate is 30%, the network convergence speed is the fastest, and the convergence time is only 0.72 s.
Keywords: scheduling joint optimisation algorithm; voiceprint recognition; cloud computing; data network security
Citation: International Journal of Global Energy Issues, Vol. 45, No. 6 (2023) pp. 602 - 626
PubDate: 2023-10-03T23:20:50-05:00
DOI: 10.1504/IJGEI.2023.133803
Issue No: Vol. 45, No. 6 (2023)
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