Mountain Rainfall Estimation and BIM Technology Site Safety Management Based on Internet of Things
Mountain rainfall estimation is a major source of information for determining the safety of a geographical (mountainous) area. It can be done easily by using a modeling and simulation application, BIM, which is a building information modeling tool. It ...
Research on Credit Risk Identification of Internet Financial Enterprises Based on Big Data
The advent of the era of big data has provided a new way of development for Internet financial credit collection. The traditional methods of credit risk identification of Internet financial enterprises cannot get the characteristics of credit risk zoning, ...
A Novel Model for Large-Scale Online College Learning in Postpandemic Era: AI-Driven Approach
COVID-19 is a pandemic with a wide reach and explosive magnitude, and the world has been bracing itself for impact. Many have lost their jobs and savings, and many are homeless. For better or worse, COVID-19 has permanently changed our lives. For college ...
The Potential Energy of Artificial Intelligence Technology in University Education Reform from the Perspective of Communication Science
In today’s rapid development of science and technology, science is everywhere in people’s lives, and science communication is everywhere. Science and communication are not only not far away but also very close. Since machine learning algorithms with deep ...
Water Saving Control of Turfgrass Irrigation Robot Using Genetic Simulated Annealing Algorithm
Artificial intelligence through the robotic system offers a solution to the quest for an autonomous system with high cutting efficiency for lawn mowing. Because of the current trimming and maintenance operations on grasslands and gardens, it is essential ...
Fault Diagnosis Method of the Construction Machinery Hydraulic System Based on Artificial Intelligence Dynamic Monitoring
This paper aims to study the fault diagnosis method of the mechanical hydraulic system based on artificial intelligence dynamic monitoring. According to the characteristics of functional principal component analysis (FPCA) and neural network in the fault ...
A Network That Balances Accuracy and Efficiency for Lane Detection
In the automatic lane-keeping system (ALKS), the vehicle must stably and accurately detect the boundary of its current lane for precise positioning. At present, the detection accuracy of the lane algorithm based on deep learning has a greater leap than ...
Film and TV Animation Production Based on Artificial Intelligence AlphaGd
The dual attributes of artificial intelligence AlphaGd production, combined with modern social culture, industrial economy, and other factors, show rich connotation and extension in the development process of film and television animation production from ...
Identification of Diabetic Retinopathy through Machine Learning
A cross-sectional study of patients with suspected diabetic retinopathy (DR) who had an ophthalmological examination and a retinal scan is the focus of this research. Specialized retinal images were analyzed and classified using OPF and RBM models (...
Influencing Factors of Rock Electrical Signal Analysis Based on Artificial Intelligence
To get the generation mechanism and influence factors of the coal-rock electrical signal, it provides a reference for coal-rock electric signal prediction and dynamic disaster. Firstly, the law of charge energy relation is deduced by using the universal ...
A Novel Algorithm for Profit Distribution of Sustainable Development Using E-Commerce Supply Chain
E-commerce supply chain actually deals with the acquisition of the raw materials, their timely processing, and on-time delivery to the right place. It deals with a number of processes such as supply and demand, managing order entry, and inventory ...
Artificial Neural Network Model in Spatial Analysis of Geographic Information System
In the past two decades, the computer technology industry has developed rapidly, and the geological prospecting industry is also undergoing a computerized and electronic revolution. The application technology of new geological information systems is ...
Enterprise Service Remote Assistance Guidance System Based on Digital Twin Drive
In the fourth industrial revolution to develop new products and processes, the digital twin, virtual copies of the system that can interact with the physical counterparts in a bidirectional way, seem to be promising enablers to replicate production ...
Pedestrian Heading Estimation Methods Based on Multiple Phone Carrying Modes
The development of smartphone Micro-Electro-Mechanical Systems (MEMS) inertial sensors has provided opportunities to improve indoor navigation and positioning for location-based services. One area of indoor navigation research uses pedestrian dead ...
A Review of P4 Programmable Data Planes for Network Security
Network attacks show a trend of increased attack intensity, enhanced diversity, and more concealed attack methods, which put forward higher requirements for the performance of network security equipment. Unlike the SDN (software defined network) switch ...
The Risk Management Mode of Construction Project Management in the Multimedia Environment of Internet of Things
The construction industry is the pillar industry of China’s national economy. According to the statistics of the National Bureau of Statistics, the GDP in 2016 was 744.127 billion yuan, while the total construction output value was 193.567 billion yuan, ...
An Optimization Model of Raw Material Supply Chain Using Improved Genetic Algorithm for Primary and Secondary School Uniform under IoT Environment
With the development of intelligent technology, the life cycle of products is becoming shorter and shorter. The traditional mode of supply chain selection cannot meet the demand of productivity development. Scientific and reasonable choice of school ...
ASD Children’s APP Emotional Interaction Design Based on Smart Toys of Internet of Things
Autism is a disorder caused by nerve developmental disorders in childhood. Autism is a serious and widespread developmental disorder, with social disorders, speech development disorders, and poor language communication skills as typical symptoms, ...
Selection of Cross-Border E-Commerce Import Model Based on Intelligent Data Analytics AHP Algorithm
With the gradual popularity of e-commerce in our country, Cross-Border E-Commerce (CBEC) has developed rapidly. In order to comply with this development trend, more and more enterprises in our country have embarked on the development path of CBEC, and ...
Case Analysis and Thinking of Scheme Analysis Based on Mobile New Systems in Psychological Education
Education has improved the ideological style of society, improved people’s spiritual quality, and improved people’s lifestyle, provided sincere principles for people’s enthusiasm, and provided goals and political power for people’s ideals and contemporary ...
A Novel Sparse Array Configuration with Low Coarray Redundancy for DOA Estimation in Mobile Wireless Sensor Network
For tacking and localizing sources in the mobile wireless sensor network, underdetermined direction of arrival (DOA) estimation with high-accuracy is a crucial issue. In this paper, a novel sparse array configuration is developed for accurate DOA ...
Evaluation of the College English Flipped Classroom Teaching Model Based on Data Mining Algorithms
Aiming at the problem of the inability to classify data due to the excessive amount of teaching resources, which leads to the college English flipped classroom teaching model’s low resource sharing rate and the poor accuracy of score statistical analysis, ...
Energy-Efficient UAV Trajectory Design with Information Freshness Constraint via Deep Reinforcement Learning
Unmanned aerial vehicle (UAV) technique with flexible deployment has enabled the development of Internet of Things (IoT) applications. However, it is difficult to guarantee the freshness of information delivery for the energy-limited UAV. Thus, we study ...
Dynamic Adjustment Strategy of Rail Guide Vehicle
For the dynamic adjustment strategy of intelligent rail guide vehicle, the dynamic planning model has been built with the longest working time in the paper. In solving this problem, the longest target of the rail guide vehicles’ running time is converted ...
Intrusion Detecting System Based on Temporal Convolutional Network for In-Vehicle CAN Networks
In recent years, deep learning theories, such as Recurrent Neural Networks (RNN) and Convolutional Neural Networks (CNN), have been applied as effective methods for intrusion detection in the vehicle CAN network. However, the existing RNNs realize ...
Feature Optimization of Exhaled Breath Signals Based on Pearson-BPSO
Feature optimization, which is the theme of this paper, is actually the selective selection of the variables on the input side at the time of making a predictive kind of model. However, an improved feature optimization algorithm for breath signal based on ...
Application of Mobile Information System Based on Internet in College Physical Education Classroom Teaching
With the continuous acceleration of China’s socialist process, the development of society has made a great leap forward. Mobile Internet is an emerging product of the integration of traditional Internet and mobile communication industries. At present, the ...
Utilizing Fuzzy Comprehensive Evaluation Mechanism for Theater Performance Scheduling Management in China
The prevailing theater industry requires new state-of-the-art mechanisms for better evaluation so as to meet the expectations of the audience and to capture the attention of more and more public, thereby making the industry profitable. In modern times, ...
Application of Artificial Intelligence Wearable Technology in the Big Data Analysis of Physical Activity in China
Although the validity of the physical activity questionnaire is low, the questionnaire is still the most commonly used measurement tool for physical activity research in China in the past 10 years. In the era of big data, research in the field of physical ...