In contemporary society, the advent of the digital economy is swiftly emerging as a novel catalyst propelling global economic advancement. Against this backdrop, the adept management of vast economic datasets has beco...
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ISBN:
(纸本)9798400709760
In contemporary society, the advent of the digital economy is swiftly emerging as a novel catalyst propelling global economic advancement. Against this backdrop, the adept management of vast economic datasets has become a focal point of inquiry. Leveraging its robust data processing and learning capabilities, artificial intelligence algorithms offer fresh perspectives on the analysis and application of digital economic data. This discourse introduces sophisticated algorithms such as kernel principal component analysis, time series analysis, and support vector machines, culminating in the conception and realization of a data processing framework. Empirical analysis of real-world data validates the efficacy of the system, juxtaposed with comparative analyses to delve into the merits and limitations of various algorithms in digital economic data management. Ultimately, this research endeavors to furnish the domain of digital economics with scientifically grounded data processing methodologies and pragmatic strategic solutions.
With the rapid development of the information age, current data information is an important resource in the new era. The design and application of computer network information security systems using intelligent contro...
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The proceedings contain 10 papers. The topics discussed include: a blockchain-based approach for certifying information at different levels of granularity according to the data minimization principle of the GDPR;a hyb...
ISBN:
(纸本)9798350367133
The proceedings contain 10 papers. The topics discussed include: a blockchain-based approach for certifying information at different levels of granularity according to the data minimization principle of the GDPR;a hybrid approach to malware detection in mobile networks;analysis of multi-person pose forecasting models on handball actions;using agile practices to address defects in medical device software development: a survey of medical device software organizations in Ireland;features of the interface of system for solving social problems;a hybrid approach to malware detection in mobile networks;digital twin based asynchronous federated learning enabled IDS for false data injection attacks in vehicular CPS;and using colored acyclic nets to detect fake accounts on social media.
With the development of society and the progress of science and technology, design has been everywhere with human life. The focus of design is to help users understand the product and coordinate the relationship among...
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Functional near infrared spectroscopy (fNIRS) is finding growing utility as a neuroimaging sensor for brain computer interfaces (BCI) because it is non-invasive and well complements the neurosensing provided by electr...
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ISBN:
(纸本)9798350309430
Functional near infrared spectroscopy (fNIRS) is finding growing utility as a neuroimaging sensor for brain computer interfaces (BCI) because it is non-invasive and well complements the neurosensing provided by electroencephalography. We briefly review the history of fNIRS and the use of historically standard features of fNIRS for BCI. We then present signal processing advances that are standard in fNIRS but not in the application of fNIRS to BCI and show the improvements it affords in classification accuracy. Finally, we cover our recent advances in a wearable whole head high density fNIRS system and how it can further improve BCI accuracy.
In order to realize the automatic control of computer laboratory equipment and improve the efficiency and precision of equipment control, a control system based on STM32 microcontroller is designed and developed. The ...
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Solid state source of noise signal is applied in different systems in wide frequency both civil and military application. To obtain high intensive noise signal, impact ionization (II) of charge carriers is often used....
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A classical non-stationary (n + 1)-body planetary problem with n bodies of variable mass moving around the central star on quasi-elliptic orbits is considered. In addition to the mutual gravitational attraction, the b...
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ISBN:
(纸本)9783031637742;9783031637759
A classical non-stationary (n + 1)-body planetary problem with n bodies of variable mass moving around the central star on quasi-elliptic orbits is considered. In addition to the mutual gravitational attraction, the bodies may be acted on by reactive forces arising due to anisotropic variation of their masses. The problem is analyzed in the framework of Newtonian's formalism and the differential equations of motion are derived in terms of the osculating elements of aperiodic motion on quasi-conic sections. These equations can be solved numerically and their solution will describe the motion of the bodies in detail. However, due to the orbital motion of the bodies the perturbing forces include many terms describing short-period oscillations. Therefore, to obtain the solution with high precision one needs to choose very small step size or to use an adoptive step size method and this increase a time of calculation substantially. As we are interested in the long-term behaviour of the system it will be necessary to perform additional calculations in order to extract a secular part of the solution. To simplify the calculations we expand the perturbing forces into power series in terms of eccentricities and inclinations which are assumed to be small and average these equations over the mean longitudes of the bodies. Finally, we obtain the differential equations describing the evolution of orbital parameters over a long period of time. As an application, we have solved the evolution equations numerically in the case of n = 3 and demonstrated an influence of the mass variation on the motion of the bodies. All the relevant symbolic and numeric calculations are performed with the aid of the computer algebra system Wolfram Mathematica.
A fundamental obstacle to automatic business process detection is the lack of modeling concepts that explicitly express Internet of Things elements as components of a business process model. In order to present a fram...
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The development of a smart irrigation system is critical in addressing water conservation and enhancing agri-cultural practices. The design and implementation of a control system aimed at regulating water delivery to ...
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