Electronic Signal Processing and Pattern Recognition Technology Based on Deep Learning

Boyu Xing

pp.1-7 DOI: 10.62051/eh1f7w42

Abstract: Aiming at the challenge that traditional methods can not meet the requirements of high precision and high efficiency in complex scenes, a method of introducing deep learning model to improve the accuracy and efficiency of signal processing is proposed. Specifically, this paper designs an improved convolutional neural network model named "signal recognition convolutional network" (SRCN), which is optimized on the basis of traditional CNN to better adapt to the characteristics of electronic … Read More

Engineering Application of New Environmental Treatment Materials in Water Pollution Control

Junze Li

pp.8-14 DOI: 10.62051/y2a8w484

Abstract: With the increasingly serious problem of water pollution, the application of new environmental governance materials in water pollution control has become a research hotspot. This paper systematically discusses the engineering applications of a variety of novel environmental governance materials in water pollution control, including nanomaterials, biomaterials and composites, and analyzes in detail the mechanisms of physical adsorption, chemical degradation, biodegradation and photocatalysis of … Read More

Fault Diagnosis Technology for Complex Mechanical Systems Based on Deep Learning

Zijian Guo

pp.15-19 DOI: 10.62051/jn6ctt96

Abstract: Traditional fault diagnosis methods are usually based on expert knowledge and experience, but this method often relies on manual analysis and judgment, which is time-consuming and inaccurate. Deep learning has become a hot spot because of the development of optimization algorithms and computer hardware, and has achieved great success in many applications. In the field, neural network, as a popular tool, can establish a feature recognition system between perceptron and classifier through … Read More

Research on Operation Mechanism and Construction Path of Government Information Ecological Chain in Big Data Era

Wenya Wu, Simin Zhu, Chuanjie Yang

pp.20-28 DOI: 10.62051/34pfnw97

Abstract: From "manual administration" to "information administration", the government constructs a new model of big data governance based on chain-dependent relations through the means of information technology and transmission and feedback of data information resources: Government Information Ecology Chain. It has the characteristics of information sharing, link diversity and information control, including the three components of node, chain and environment. Value-added mechanism, coordination and … Read More

Research on High-precision Algorithm for Flight Attitude Evaluation of Quadrotor Aircraft

Ruizhi Zhou

pp.29-34 DOI: 10.62051/wpbw0r27

Abstract: With the rapid development of UAV technology, quadrotor aircraft has shown wide application potential in many fields. In this paper, a high-precision algorithm based on multi-sensor data fusion and optimized extended Kalman filter (EKF) technology is designed and implemented for the flight attitude evaluation of quadrotor aircraft. By fusing the data of IMU (Inertial Measurement Unit), GPS (Global Positioning System) and magnetometer, the algorithm can effectively resist noise interference and … Read More

Research on Deep Bomb Delivery Strategy Based on Monte Carlo Simulation and Adaptive Optimization Algorithm

Lingkai Huang

pp.35-43 DOI: 10.62051/ghch2015

Abstract: Aiming at the problem of insufficient precision of deep bomb delivery in traditional anti-submarine warfare, this paper proposes a novel algorithm combining Monte Carlo simulation and adaptive optimization [1]. The algorithm optimises the deep bomb delivery strategy by defining the probability distribution of the submarine position. Specifically, Monte Carlo simulation is used to generate samples of possible submarine positions, analyse the effect of the submarine's three-dimensional positional … Read More

Data-Driven Customer Assessments for Biodiversity Conservation

Tongji Cui, Yiyi Li

pp.44-53 DOI: 10.62051/wxq5zr38

Abstract: This study centers on addressing the critical challenge posed by illegal wildlife and plant trade to biodiversity, aiming to propose a client evaluation model designed for conservation efforts. Operative within a rigorous assessment framework that integrates sophisticated statistical tools, including McKinsey's Logic Tree Analysis, Analytic Hierarchy Process (AHP), and Technique for Order Preference by Similarity to Ideal Solution (TOPSIS), the model conducts evaluations spanning both … Read More

Computer Vision Applications in Garbage Management: A Survey

Yiyi Li

pp.54-62 DOI: 10.62051/8pm2nn76

Abstract: In recent years, computer vision (CV) technique has made great breakthroughs, and it has been applicated in the fields related to garbage management. Due to quick expansion of consumerism and urbanization, the amount of garbage generated by humans has increased rapidly, which has caused harmful results for both the environment and people’s lives. Identifying garbage automatically by means of CV technique plays an important role in urban road garbage detection, marine litter detection and garbage … Read More

Analysis of Influencing Factors of Urban Road Traffic Accidents Based on Association Rules

Jiaqi Yang

pp.63-70 DOI: 10.62051/4en65x47

Abstract: Urban road traffic conditions are complex and changeable. Affected by multiple factors, the mechanism and main influencing factors of traffic accidents are difficult to define. This paper aims to study the distribution characteristics and main factors influencing urban road traffic accidents. According to the collected data of urban traffic accidents in Britain, the basic characteristics including trunk road flap, weather conditions, time, maximum speed limit, first road classification and other … Read More

Machine Learning-Based Profit Modeling for Credit Card Underwriting: Implications for Credit Risk

Tianyi Xu

pp.71-80 DOI: 10.62051/8qwb3532

Abstract: Accurate profit modeling is crucial for effective credit risk management in credit card underwriting. This study explores how machine learning methods can improve profit models in credit card underwriting, using data from a major Chinese bank as a case study. We employed three primary machine learning algorithms—Random Forest, Gradient Boosting Trees, and Neural Networks—to analyze a credit card customer dataset comprising 500,000 customers and 8 million transaction records. Model performance … Read More

Flight Trajectory Prediction Based on LSTM

Songang Yang

pp.81-92 DOI: 10.62051/f3hwwa06

Abstract: Track prediction is a key technology to avoid potential navigation dangers and provide reliable scheduling. Due to the insufficient processing ability of traditional neural networks for long sequence data such as track data, the prediction error of aircraft trajectories is relatively large. In this paper, the Long Short-Term Memory network (LSTM) is used for 4D track prediction, and the excessive dependence between adjacent data is reduced through the sliding window method. The ADS-B track data … Read More

Research on an Intelligent Learning Path Planning Method for the VR-SimTrainer Virtual Reality Training Software Based on Deep Learning

Shaocong Chen, Zisu Wang, Xingyang Xiao, Yumeng Yang, Guangyu Ji, Wenjing Liu

pp.93-101 DOI: 10.62051/4cy1yq64

Abstract: This study explores an intelligent learning path planning method for the VR-SimTrainer virtual reality training software based on deep learning. With the increasing application of virtual reality technology in education and vocational training, the traditional fixed learning path training method can no longer meet the needs of personalized learning. To address this problem, this paper introduces deep learning technology to dynamically adjust the learning path by analyzing the real-time operation … Read More

Optimization and Control Strategies for Mechanical Vehicle Trajectory Research

Mutong Ji

pp.102-105 DOI: 10.62051/77ybr652

Abstract: With the rapid advancement of contemporary transportation and automation technology, the optimization of mechanical vehicle trajectories and control strategies have gradually become a focal area of research. Precise trajectory optimization not only enhances the driving efficiency of vehicles but also significantly reduces energy consumption and safety hazards. This paper reviews the basic theory of mechanical vehicle motion trajectories, focusing on the methods of trajectory optimization and … Read More

Innovative Application of BIM Based Intelligent Prefabricated Buildings in Green and Low-carbon Design

Kun Huang

pp.106-110 DOI: 10.62051/815gxz70

Abstract: This article explores the innovative application of intelligent prefabricated buildings based on BIM technology in green and low-carbon design. By analyzing the combination of BIM technology and prefabricated buildings throughout their entire life cycle of design, construction, and operation, the enormous potential of BIM technology in energy conservation, emission reduction, resource utilization efficiency improvement, and optimization of building performance has been demonstrated. Research has … Read More

Application of Deep Learning in Public Network Security Management

Lihao Fan, Haoran Wang, Yanchuan Zhao, Kaiwen Xin

pp.111-118 DOI: 10.62051/jycc7c87

Abstract: With the rapid advancement of information technology, network security issues have become increasingly prominent, posing significant challenges in the field of public administration. Deep learning, as a cutting-edge technology in artificial intelligence, is emerging as a critical tool for enhancing network security management due to its exceptional performance in big data processing and pattern recognition. This paper reviews the basic concepts of deep learning and its current applications in … Read More

How Is AI Enhancing Investment Behavior in Today's Financial Markets

Mengxiao Yao

pp.119-123 DOI: 10.62051/wtg5y852

Abstract: The present investigation delves intricately into AI's pivotal function in shaping contemporary financial market investment dynamics. Amidst surging data volumes and computational leaps, AI has emerged as a cornerstone in finance, particularly in enhancing investment efficacy, risk assessment, and tailored services. By scrutinizing AI's present adoption across domains like data analysis, algorithmic trading, risk mitigation, and advisory services through concrete case studies, we illustrate … Read More

Research on the Application of AI Technologies in Computer Network Data Analysis

Ho Tsz Lok

pp.124-130 DOI: 10.62051/tb329f52

Abstract: In recent years, with the development of the Internet of Things and smart devices, the Future Internet project has driven innovation in network architecture by combining different models and resources. To manage complexity, creating abstract models has become a critical step in the field of computer networks. This study explores the application of AI techniques in network data analysis, demonstrating the possibilities of AI for real-time monitoring, anomaly detection, and the future development … Read More

Research on the Application Examples and Effects of Artificial Intelligence in Film and Television Post-production

Mufan Song

pp.131-136 DOI: 10.62051/r3m23f29

Abstract: This study explores the application of artificial intelligence in film and television post-production, analyzing its effects on efficiency, quality, and market impact. AI automates complex tasks, enhances content generation, and predicts audience preferences, revolutionizing traditional production workflows. However, challenges such as high costs, technical thresholds, and ethical concerns are discussed. The study underscores AI's potential for innovation and the need for responsible use. Read More

YOLOv9-SE: A Real-time Vehicle Detection Model Based on Improved YOLOv9

Yangzi Gao

pp.137-145 DOI: 10.62051/1zdpsr32

Abstract: With an increasing number of urban vehicles and complex road environments, real-time vehicle detection has become a key technology in autonomous driving, but it faces many challenges. Although traditional two-step target detection algorithms (such as the R-CNN series) have high detection accuracy, their real-time performance is poor, which makes it difficult to meet the needs of vehicle detection. In contrast, one-step detection algorithms such as YOLO stand out for their high speed and higher … Read More

A Review of the Basic Principles and Methods of Signal Sampling Technology

Jiafeng Li

pp.146-152 DOI: 10.62051/edadp344

Abstract: In modern life, communication is an essential human activity. In the process of communication, various information spreads around the world in the form of signals. In order to optimize the communication, the reasonable processing of the signal becomes an important research problem. Signal processing is an important step during signal processing. It is one of two processes that convert an analog signal into a digital equivalent signal. It can be considered that signal sampling transforms the time … Read More

Feature Selection and Regression for House Value Prediction

Zhaowen Gu

pp.153-166 DOI: 10.62051/cman5j03

Abstract: This report investigates the application of feature selection and regression techniques, including LASSO, Ridge Regression, and Elastic Net, in predicting house values. By analyzing these methods, we aim to identify the most influential factors driving house prices and assess their relative importance. Our study involves a comprehensive evaluation of various linear regression models to determine their effectiveness and consistency in predicting house prices. The results reveal that while all … Read More

Simulation of Medium Truck Frame Based on ANSYS

Chang Xu

pp.167-175 DOI: 10.62051/d50ze413

Abstract: The frame is the important part of the car, as the understructure of assemble. the important assembly and structure on the car are based on the frame, and fixed to corresponding position, such as, engine, transmission, steering system and cab and so on. Force situation of the frame is very complex, it supports various load from road and loading, a large proportion of vehicle performance lie on structure performance of the frame. Therefore, the frame must have adequate intensity assure its … Read More