Computing & Engineering

Research on Optimal Rescue Path Planning of Submersible Based on Submarine Terrain Modeling

Chengjun Wen, Shijiao Li — Sun, 31 Dec 2023 00:00:00 +0000

In the process of deep-sea tourism exploration, due to the complex and ever-changing underwater environment, submarines may be affected by natural disasters, seawater pressure, and seabed topography, resulting in communication interruptions and mechanical failures during travel, causing harm to personnel in the submersible and causing huge losses to the tourism company. In order to address safety issues during deep-sea tourism exploration of submarines. This study takes the Inoian Sea as an example. Assuming that people encounter malfunctions during deep-sea tourism exploration while riding a submersible, immediate rescue is required. Firstly, we obtained high-resolution underwater terrain data from GEOCO 2023 and established a detailed three-dimensional underwater terrain model using Matalab software. During the search and rescue process, the sonar of the rescue vessel was used to search for the submersible, and the Markov Chain Monte Carlo (MCMC) method was used to predict the most likely position and probability distribution of the submersible. By combining the traveling salesman problem with genetic algorithm to process location and probability distribution data, the shortest path can be found. At the same time, we also established a dynamic model of the rescue process, allowing the rescue vessel to maximize the efficiency of maritime search and operation paths (such as spiral paths), and reflect the dynamic relationship between the rescue submersible and the damaged submersible.

Optimization Research of the Operational Driving Organization of Guangzhou Metro onweekends Based on Optimization Method

Haitang Lin — Sun, 31 Dec 2023 00:00:00 +0000

By studying the passenger flow data of Guangzhou Metro Line 1, we aim to analyze the passenger flow characteristics on weekends. This involves fitting the data to obtain time-related inbound and outbound passenger flow functions. An optimization model targeting the average subway full load rate is established to improve operational efficiency. Utilizing MATLAB software for programming, we import passenger flow data into the program. This enables us to obtain the average full load rate and determine optimal train departure times during peak, off-peak, and off-peak periods. Our approach involves a detailed analysis of the passenger flow trends, considering various factors such as time of day, holidays, and special events. This comprehensive analysis allows us to adapt the train schedules to match the passenger demand more accurately. Then, under the condition that the departure interval remains consistent every hour, we determine the optimal departure interval for each stage. This ensures that trains are neither overcrowded nor underutilized. The ultimate goal is to achieve an optimized driving interval in each period, balancing efficiency and passenger comfort. By doing so, we can enhance the travel experience for commuters, reduce congestion during rush hours, and ensure a more sustainable and cost-effective operation of the metro system. Our model can also adapt to future changes in passenger flow, making the Guangzhou Metro more responsive to the needs of its users. Moreover, the model's flexibility allows for quick adjustments in case of unexpected events or sudden changes in passenger patterns. We also plan to integrate real-time data analytics for more dynamic scheduling and efficiency.

Realization of automated system of monitoring and testing of gas-discharge lamps using statistical analysis of time series

A.M. Kanatov, A.M. Akhmetova — Sun, 31 Dec 2023 00:00:00 +0000

discharge lamps, including fluorescent lamps, represent a key element of modern lighting system, providing high efficiency and durability in various applications. However, ensuring reliable operation and long life of these lamps requires systematic real-time monitoring, control and testing. This paper presents an electrical model developed using Matlab Simulink software for the comprehensive testing and monitoring of discharge lamps, with the main focus on fluorescent light sources. Aspects of modeling and measurement of key parameters of gas discharge lamps are covered, making this model a handy tool for electronics engineers and researchers. The main focus of the paper is on the design and implementation of an automated system for monitoring and controlling discharge lamps, in which time series statistical analysis has been widely applied. By utilizing advanced technologies such as remote monitoring and control via cloud services, the system provides prompt and reliable control of discharge lamp parameters.

Research on ROS-oriented UAV virtual simulation control

Cao Yuning, Fang Ding — Sun, 31 Dec 2023 00:00:00 +0000

With the rapid advancement of robotics technology, quadcopters have been widely used in military, commercial and other fields. Their ability to perform high-risk missions, keep personnel safe and significantly reduce operating costs makes them an indispensable tool. Although quadcopters perform well in terms of performance, they are expensive to manufacture and their vital electronic components are prone to damage. In this case, the application of simulation technology is particularly important. Virtual simulation technology can not only speed up the development cycle of UAV systems and reduce costs, but also help us discover and solve potential problems in advance, which is very important for students in related majors in universities.

Development of a robotic system for weed control

D.B. Akimov, N.A. Bayanbay — Sun, 31 Dec 2023 00:00:00 +0000

The new prototype of the farmer's robot, presented in the article, is an innovative solution for the effective removal of weeds from beds in agriculture. Using the plowing method and a computer vision system, the robot automatically detects and removes weeds, minimizing the risk of crop damage. Sensor data analysis and decision-making are carried out by the microcontroller, providing a high level of automation and efficiency. This prototype provides a significant increase in agricultural productivity and environmental sustainability.

Research of an optical wireless communication system for internal use

N.K. Smailov, A.S. Shakir, M.M. Baygulbaeva, G.O. Kobieva — Sun, 31 Dec 2023 00:00:00 +0000

Research into optical wireless communication systems for indoor use is focused on enhancing wireless communication capabilities in confined spaces such as offices and industrial facilities. This article examines the current state of the art in optical wireless communications, addresses challenges, and proposes solutions. Through a comprehensive literature review and original research, the study aims to improve understanding of the potential applications, limitations, and optimization strategies of indoor optical wireless communication systems.

Research on data storage security model and management technology in cloud computing environment

Liu Guohong — Sun, 31 Dec 2023 00:00:00 +0000

In view of the new challenges that cloud storage services pose to traditional storage technology, particularly in terms of data security, reliability, and management technology, an in-depth study of cloud storage security is crucial, focusing on the basic concepts, structures, and characteristics of cloud storage. Unlike traditional storage, cloud storage operates on a much larger scale as a distributed system, facing unique security risks such as data breaches, unauthorized access, and loss of data integrity. It's imperative to analyze the different structural levels of cloud storage systems, including physical storage servers, network infrastructure, and software applications that manage data distribution and access, as each level presents distinct vulnerabilities requiring tailored security measures like physical hardware protection, advanced encryption, robust authentication mechanisms, and regular security audits. Additionally, the implementation of redundancy systems is essential for maintaining data integrity and availability in case of hardware failure or cyber-attacks. Conclusively, a comprehensive cloud storage security model is proposed, encompassing technological solutions, policy, and governance frameworks to establish guidelines for data privacy, regulatory compliance, and ethical standards, thus ensuring the security and reliability of cloud storage systems and making it a secure, efficient alternative to traditional data storage methods in our increasingly data-driven world.

Research of existing machine learning methods for borrower credit scoring

L. Maralbayeva — Sun, 31 Dec 2023 00:00:00 +0000

This research thoroughly explores how machine learning methods are used to evaluate the creditworthiness of borrowers, specifically those associated with second-tier banks. The main focus of the article is on using current scientific literature to explain the latest trends in credit scoring. The study gives a detailed overview of the credit process, pointing out important stages and factors that affect decision-making. The authors take a deep dive into various data sources used in scoring, explaining how they help make credit assessments more accurate and fairer. They analyze the strengths and weaknesses of different machine learning methods, figuring out how effective they are and if they suit second-tier banking. The article provides a detailed comparison of various machine learning methods, explaining where they work well and where they might have limitations. The research's importance lies in giving a broad view of machine learning methods, including recent updates and comparisons, acting as a starting point for future studies in this area. From a practical perspective, the article is useful for professionals in the banking sector by offering insights for the more effective use of modern machine learning methods in evaluating borrowers' creditworthiness. The study contributes significantly to understanding and applying contemporary approaches to credit scoring, offering valuable recommendations and practical strategies for those interested in this field.