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检索条件"任意字段=International Conference on Intelligent System Design and Engineering Application"

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application and Benefit Analysis of Artificial Intelligence in Financial Accounting 24

Application and Benefit Analysis of Artificial Intelligence ...

引用

2024 international conference on Big Data and Digital Management, ICBDDM 2024

作者： Yin, Yuting School of Economics and Management Guangdong Innovative Technical College China

ISBN: (纸本)9798400710278

This study explores the application of artificial intelligence in financial accounting, focusing on the technical implementation and performance evaluation of intelligent financial prediction models. The research first analyzes AI applications in automated accounting processes, intelligent auditing, financial forecasting, and risk management. It then elaborates on machine learning-based intelligent financial prediction models, including architecture design, feature engineering, and algorithm optimization. Through empirical research, the performance of AI models is compared with traditional statistical methods. Results show that LSTM-based AI models outperform traditional methods in prediction accuracy, stability, and anomaly handling. The study also discusses challenges faced by AI applications, such as data security, ethical regulation, and talent cultivation, and proposes countermeasures. This research fills the gap in the technical implementation of AI financial prediction models, provides important references for the practical application of AI technology in financial accounting, and has significant implications for promoting the intelligent transformation of financial management. © 2024 Copyright held by the owner/author(s).

关键词： Prediction models

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design of advanced emergency braking system based on vehicle-road cooperation 7

Design of advanced emergency braking system based on vehicle...

引用

7th international conference on Mechatronics and intelligent Robotics, ICMIR 2023

作者： Cao, Chen Liu, Zhichao Li, Wenliang Research Institute of Highway Ministry of Transport Haidian District Xitucheng Road No. 8 Beijing100088 China

ISBN: (数字)9781510668089

ISBN: (纸本)9781510668072

In this paper, a technical solution for the integration of vehicle-road cooperation and advanced emergency braking system is proposed. Firstly, the problems existing in the practical application of the system are analyzed, and the application scenarios are summarized by multi-level screening method. According to the different functional requirements of application scenarios, the overall system architecture and control strategy algorithm are put forward. © 2023 SPIE. All rights reserved.

关键词： Roads and streets

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Devise and application of intelligent Guidance system in Exhibition Space 6th

Devise and Application of Intelligent Guidance System in Exh...

引用

6th international conference on Innovative Computing, IC 2023

作者： Shen, Heng Xi’an Fanyi University Shanxi Xi’an710105 China

ISBN: (纸本)9789819920914

In the exhibition space, the guidance system is the link to sort out the complex space environment, so that visitors can get better communication with exhibits and space environment. The research goal of this paper is to design, apply and study the intelligent guidance system in the public display space, improve the singleness and imperfection of the traditional guidance system, and provide diversity and possibility for the design of guidance system in the display space. Starting with the classification characteristics of display space and traditional guidance system, this paper summarizes the construction method of guidance system in display space and the design objectives, principles and Strategies of various elements of intelligent guidance system, so as to provide new ideas for the design of intelligent guidance system in the same type of display space and enhance the emotion of information dissemination. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Remote control

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application Research of Machine Vision Platform Based on Ant Colony Algorithm and Software engineering 3

Application Research of Machine Vision Platform Based on Ant...

引用

3rd IEEE international conference on intelligent Technologies, CONIT 2023

作者： Song, Xing Yang, Yanqing Fan, Songlin Taizhou Vocational& Technical College College of Mechanical and Electrical Engineering Taizhou Jiaojiang318000 China

ISBN: (纸本)9798350338607

The research on the application of machine vision platform based on ant colony algorithm and software engineering is aimed at the application of machine vision platform based on ant colony algorithm and software engineering. The main purpose of this study is to identify applications that can be developed using our proposed system. In order to better understand, we conducted a survey of colleagues from different universities and institutes to understand their feedback on this topic. We have collected information from them about their views on this project. It includes the following steps: 1. design the system architecture and analyze its performance;2. Develop necessary algorithms to achieve the expected results;3. Implement the developed algorithm into the actual system with real-time requirements;4. Analyze and test the implementation results of the algorithm in the actual system;5. Improve or modify the existing algorithm to improve its performance and achieve the efficiency of the expected results;6. Test new versions of existing or newly developed algorithms to improve their performance or efficiency. © 2023 IEEE.

关键词： Computer vision

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Research on the application of Zero Trust Framework in the design of Power system Network Architecture 3

Research on the Application of Zero Trust Framework in the D...

引用

3rd international conference on High Performance Computing and Communication engineering, HPCCE 2023

作者： Yang, Chunyan Han, Songming Bin, DongMei Ling, Ying Fu, Hua Electric Power Research Institute of Guangxi Power Grid Co. Ltd. Guangxi Nanning530023 China Nanning Power Supply Bureau of Guangxi Power Grid Co. Ltd. Guangxi Nanning530023 China

ISBN: (数字)9781510674653

ISBN: (纸本)9781510674646

As the power system undergoes continuous digitization and networking, the associated network security challenges have become increasingly prominent. Addressing these issues, the zero trust framework emerges as a cutting-edge security concept that underscores sustained vigilance toward users, devices, and applications within the network environment. Its core principle involves minimizing the scope of trust granted to the smallest possible extent. This study delves into the application of the zero trust framework in crafting the architecture of power system networks, with the primary objective of enhancing network security and thwarting potential threats. The article commences by scrutinizing the network security requirements of internet applications and subsequently proposes a zero trust architecture as a security solution. The construction of a zero trust-based smart grid security protection architecture follows, encompassing elements such as terminal trusted perception agents, multi-source data aggregation platforms, intelligent trust evaluation platforms, dynamic access control platforms, and trusted access agents. Finally, the efficacy of the zero trust framework in power system network architecture is validated through case studies and simulation experiments. The research findings highlight a significant enhancement in the network security of the power system with the incorporation of the zero trust framework. This, in turn, establishes an effective security mechanism conducive to the digital transformation of future power systems. In summary, the study contributes a novel security approach and technical solution for the design of power system network architecture, offering valuable insights and reference for the development of the power system network security field. © 2024 SPIE.

关键词： Network architecture

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MLCAC: Dynamic Authorization and intelligent Decision-making towards Insider Threats 27

MLCAC: Dynamic Authorization and Intelligent Decision-making...

引用

27th international conference on Computer Supported Cooperative Work in design (CSCWD)

作者： Xiao, Lifang Yu, Aimin Wang, Hanyu Zhao, Lixin Meng, Dan Chinese Acad Sci Inst Informat Engn Beijing Peoples R China Univ Chinese Acad Sci Sch Cyber Secur Beijing Peoples R China

ISBN: (纸本)9798350349184;9798350349191

Nowadays, the situation of data security is ever-increasing severity, however, the most damaging security threats do not originate from malicious outsiders but from malfeasant and negligent insiders. Generally, insider threats are prone to cause incalculable losses and serious issues due to that the insiders have the authority to access sensitive information. Therefore, how to effectively prevent and respond to insider threats is a significant challenge. Undoubtedly, the key to defending against insider threats is restricting access permissions and optimizing access control policies in real-time. To enhance data security, we propose MLCAC, a multi-layered collaborative access control model, which focuses on protecting sensitive data. A key insight is the design of a decentralized optimization for domain and authority. MLCAC prohibits unauthorized behavior and continuously monitors access logs which are analyzed by using the co-occurrence matrix to make intelligent decisions and dynamically adjust the access control policy in real time. In experiments, we collected 12574 access logs about 1753 system software and analyzed the correlation between software by using the co-occurrence matrix algorithm, including 824 groups co-occurring software of which the highest frequency is 12. The experiments indicate that the accuracy of the policy generated by intelligent decision-making is 89.55%. Therefore, the algorithm is significantly efficient for intelligent decision-making, which is the foundation of automatically generating policies and dynamic authorization.

关键词： dynamic authorization insider threats intelligent decision-making co-occurrence matrix access control model

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Development and application of intelligent Traffic Toll Data system Based on Blockchain

Development and Application of Intelligent Traffic Toll Data...

引用

2024 international conference on Electronics and Devices, Computational Science, ICEDCS 2024

作者： Huang, Yu Hu, Jinrui Huang, Jingming Nanning University College of Art & Design Nanning530200 China Guangxi Transportation Science and Technology Group CO. LTD. Nanning530007 China The Scientific and Technical Information Institute Guangxi Zhuang Autonomous Region Nanning530022 China

ISBN: (纸本)9798331527624

This paper focuses on the research and development of intelligent traffic toll data system based on blockchain, aiming to improve the accuracy and efficiency of highway toll inspection. The system integrates blockchain technology and the Internet of Vehicles (IoV), builds a new trust management mechanism, realizes cross-platform data sharing and interaction, and solves the problem of data isolation and trust in the traditional toll system. This paper presents an algorithm based on Bayesian inference model, which is used to predict and analyze charging data under uncertain environment to ensure the reliability and accuracy of data processing. Through the system simulation, the performance of the designed algorithm and model under different working conditions is deeply analyzed. The simulation results show that the proposed system can greatly improve the efficiency and accuracy of charge audit while ensuring data security and privacy. This paper analyzes the simulation data precisely, verifies the feasibility and superiority of the system in practical application, and provides important technical support and application reference for the future development of intelligent transportation system. © 2024 IEEE.

关键词： Data accuracy

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design and implementation of intelligent remote control system for natural gas valves 4

Design and implementation of intelligent remote control syst...

引用

4th international conference on Testing Technology and Automation engineering, TTAE 2024

作者： Shi, Qiuying Henan Boiler and Pressure Vessel Inspection and Technology Research Institute Zhengzhou450000 China

ISBN: (数字)9781510686656

ISBN: (纸本)9781510686649

In order to remote monitor and control the natural gas valves, the design and implementation of an intelligent remote control system for natural gas valves based on the Internet of Things is proposed in this paper. The proposed system enables real-time monitoring and remote control of valve states. Additionally, the system introduces a scheme for automatically controlling valve opening values based on the data from the sensors on valves. In order to facilitate user operation and configuration the thresholds for scheme judgement, the corresponding app has been designed for remote control of the valve. The test results demonstrate that the system successfully enables intelligent remote control of natural gas valves. Compared with other natural gas valve systems, this system uses electro-hydraulic actuators with ESD function and reduces the cost to some extent while ensuring the efficiency of data transmission. Therefore, this result is of great practical significance for remote control and automation of natural gas valves. © 2024 SPIE.

关键词： Digital storage

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Abnormal fault detection and intelligent prediction of power system based on deep learning

Abnormal fault detection and intelligent prediction of power...

引用

2024 international conference on Electronics, Electrical and Information engineering, ICEEIE 2024

作者： Qian, Zhang School of Electrical Engineering Southwest Jiaotong University Sichuan chengdu610097 China

ISBN: (数字)9781510686809

ISBN: (纸本)9781510686793

As power systems become more intricate, traditional fault detection methods have difficulty keeping pace, especially in terms of accuracy and real-time performance. The recent advancements in deep learning technology have opened up new possibilities for solving these problems. This paper, leveraging deep learning technology, examines methods for detecting and intelligently predicting abnormal faults in power systems. First, we introduce in detail the basic knowledge of deep learning and its application status in power system fault detection. Next, by building and optimizing deep learning models, this study demonstrates how to effectively identify and predict abnormal faults in power systems. Specifically, we utilize a convolutional neural network (CNN) to construct a model, experimentally verifying its efficiency and accuracy under various fault scenarios. In addition, this study also explores the application potential of deep learning technology in the fields of real-time monitoring of power systems, predictive maintenance, and energy management optimization. Finally, the paper summarizes the findings and discusses existing limitations and possible directions for future research. © 2024 SPIE.

关键词： Power systems computer aided design

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Research and application of a Panoramic Observable Monitoring system for Service Status in Business Middle Platform of the New Power system 5

Research and Application of a Panoramic Observable Monitorin...

引用

5th international conference on Computer engineering and application (ICCEA)

作者： Feng, Dechao Ding, Xueying Shen, Xiaojun Xiang, Nan An, Ran State Grid Informat & Telecommun Grp Co Ltd Beijing Peoples R China State Grid Zhejiang Informat & Telecommun Branch Hangzhou Peoples R China State Grid Nanjing Power Supply Co Nanjing Peoples R China State Grid Corp China Big Data Ctr Beijing Peoples R China

ISBN: (纸本)9798350386783;9798350386776

The power system is undergoing a transition from the traditional to new power system,the business middle platform acts as a pivotal element within the digital architecture of grid *** integrating data and services across the entire "generation-transmission-load-storage" process,it has facilitated centralized management and efficient utilization of corporate ***, with the burgeoning number of services provided by the business middle platform and its extensive application, the complexity of service invocation chains within the business middle platform has escalated dramatically. Ensuring the healthy and stable operation of services, pinpointing performance bottlenecks in service chains, and achieving an intuitive overview of the business middle platform's overall status have become paramount issues. As a new phase in the evolution of monitoring systems, observable theories and technological practices offer fresh insights and strategies to enhance the quality of the business middle platform services. This research, based on observability technologies and principles, aims to implement a comprehensive, observable monitoring system tailored to the operational status of the business middle platform services. This system serves to observe and analyze the state of the business middle platform services effectively, thereby improving the quality of middleware services

关键词： Business Middle Platform Microservices Monitoring Observability Metrics Tracing Fusion Analysis Panoramic

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