With the rapid rise of mobile internet, the network has brought convenience to all aspects of people's lives, but it has also brought about the problem of 'information overload'. The combination of persona...
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ISBN:
(纸本)9798350386783;9798350386776
With the rapid rise of mobile internet, the network has brought convenience to all aspects of people's lives, but it has also brought about the problem of 'information overload'. The combination of personalized recommendation systems and mobile e-commerce has to some extent alleviated the drawbacks of 'information overload'. This article is based on the ceramic knowledge graph for the ceramic product recommendation system, providing a demonstration case for vertical e-commerce enterprises.
This article discusses the application of machine vision technology in industrial scene recognition. The research uses deep learning algorithms, combined with computer vision technology, to build a scene recognition s...
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In order to gain a competitive edge in the banking industry, direct face-to-face interactions between customers and banks are being gradually replaced by virtual interactions. Instead, they communicate using electroni...
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In order to gain a competitive edge in the banking industry, direct face-to-face interactions between customers and banks are being gradually replaced by virtual interactions. Instead, they communicate using electronic devices such as smartphones, tablets, and web applications. Transaction banking, which provides commercial services for banking products to small, medium, and large corporations, is a highly typical work unit in banking. Shipping and international payments, risk management for international trade, and other services are provided. We use the Service Oriented Modelling Architecture (SOMA) methodology to solve the problem of the transaction banking unit by relocating it from a system with general dependencies to a system that is independent of the entire service and operates on a small function scale. The study found that a decision as a service (DAAS) model with an Enterprise Service Bus (ESB), Business Process Management (BPM), and Business Rule Management (BRM) solution can provide guidelines for the design of decision rules pertaining to integrated or separate business modeling, thereby aiding business unit delivery.
Solar energy campaigns (photovoltaic) are in great demand because they provide the advantages of being a clean energy source and the ability to speed the integration of new and renewable energy (NRE) into the energy m...
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This study focuses on the problem of vehicle dynamics modeling within the framework of intelligent vehicles cyber-physical systems. Initially, a mechanistic analysis of vehicle dynamics is conducted, and, leveraging i...
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ISBN:
(纸本)9798350366105;9798350366099
This study focuses on the problem of vehicle dynamics modeling within the framework of intelligent vehicles cyber-physical systems. Initially, a mechanistic analysis of vehicle dynamics is conducted, and, leveraging its characteristics, we design a composite neural network that integrates Gated Recurrent Unit (GRU) and Feedforward Neural Network (FNN), employing a data-driven modeling methodology. Subsequently, a novel neural network-based digital mapping proxy model for vehicle dynamics is formulated. Comparative experiments among various methods demonstrate that our proposed approach yields higher precision in both lateral and longitudinal dynamic models. The application of our model to the vehicle longitudinal speed tracking control system validates its suitability and real-time performance in control system simulation.
This paper designs a virtual human-computer interaction system based on artificial intelligence laser animation projection. The system is based on multi-line Lidar and inertial measurement Unit (IMU) to construct a th...
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Modern power systems are facing significant challenges due to the massive penetration of renewable energy sources (RES). Recently, issues related to frequency security, system strength, and excessive fault levels have...
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The Navisworks software in BIM technology is used to integrate and browse the engineering project, and the data structure of the engineering project is given. Navisworks was used for modeling and 3D display. A large-s...
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The proceedings contain 20 papers. The special focus in this conference is on Digital and Information Technologies in Economics and Management. The topics include: Intra system Links Dynamics as a Cause of Development...
ISBN:
(纸本)9783031553486
The proceedings contain 20 papers. The special focus in this conference is on Digital and Information Technologies in Economics and Management. The topics include: Intra system Links Dynamics as a Cause of Development Cyclicity: The Simplest Equations;improving the Sustainability and Safety of the City Transport system Through the application of computermodeling;development of Software for the Analysis of Socio-Economic Indicators Based on Neural Networks;estimation of the Cost of Developing a Digital Twin Using Virtual Reality Technologies in the Metallurgical Industry;formation of Artificial Collective Intelligence Based on the Theory of Active systems;nonlinear modeling of the Population State of Gregarious Locusts;designing the Architecture of a Multi-agent City Management system Using Advanced Object-Oriented modeling;analysis of the Impact of Fintech on the Economy: Japan and Russia Case;simulation of a Tubular Pyrolysis Reactor Using Comsol Multiphysics Software;an Overview on Data Augmentation for Machine Learning;keyboard Handwriting as a Factor of User Authentication;development of an Algorithm for Constructing Complex Fractal Images Using the L-systems Method for Textile and Building Materials Production Enterprises;predicting the Popularity of Social Network Publications Based on Content Analysis Using the Transformer Language Model;Classification of Building Components Using Artificial Intelligence Based on Meta-Information in BIM Models;computer Vision system for Monitoring User Attention in Interactive User Interfaces;processing of Data on Power Consumption in the Management of Energy Resources of the Regional Electrical Complex;development of a Probabilistic Model for Predicting Advertising Conversion Using Recurrent Neural Networks.
system logs are used to record the operating system and application program runtime status, constituting a form of semi-structured text. Analyzing these logs becomes pivotal in addressing failures or abnormalities wit...
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ISBN:
(纸本)9798350349184;9798350349191
system logs are used to record the operating system and application program runtime status, constituting a form of semi-structured text. Analyzing these logs becomes pivotal in addressing failures or abnormalities within the operating system or application. However, the substantial volume of log data necessitates extensive manual analysis. To overcome this problem, researchers propose an automated log parsing method that reduces the volume of logs by parsing them into templates. However, a profound understanding of these templates still requires domain-specific knowledge. Therefore, this paper proposes EntityParser, which aims at enhancing log semantics. EntityParser identifies entities within log templates, mapping abstract log messages to specific, meaningful entities, thereby enhancing the readability of the logs. Additionally, EntityParser maintains two high-quality knowledge bases and can enrich them through self-iteration. Finally, in order to validate the efficacy of EntityParser, we conduct experiments on the LogHub dataset and the Linux system log dataset collected from real production environments. The results demonstrate the effectiveness of the proposed method in improving log semantics, discovering new entities, and proving its generalization. Furthermore, it enables the discovery of all potential entities within the current log through self-iteration.
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