Now showing items 1-20 of 104

    • A study of the set member filtering problem considering network attacks 

      Ma, Shikuan; Shang, Shuqi; He, Xiaoning; Cui, Mengjun (БНТУ, 2024)
      In recent years, set member filtering has received extensive research interest due to its engineering significance of estimating sets that contain the true state of the system rather than individual vectors. More importantly, communication protocols are widely used in control systems for their ability to prevent data conflicts and reduce network burden. This paper provides an ...
      2025-04-21
    • A system that encourages a car driver to drive responsibly and safely 

      Dubovsky, V. A.; Savchenko, V. V.; Drozd, V. V. (БНТУ, 2024)
      The aim of this paper is to propose a concept of system that encourages a car driver to drive as responsibly and safely as possible. The proposed concept can be used as a framework to develop a research project aimed to improve road safety by improving the behavior of road users.
      2025-04-21
    • Adaptation of the university program in algorithms and programming in Python for additional pre-university education 

      Kastsiuk, D.; Markina, A.; Shulgan, A. (БНТУ, 2024)
      The experience of modifying the basic course of algorithms and programming for schoolchildren is presented, based on the original course designed for the first level of higher education of the computer science and radio electronics profile. The presentation peculiarities for the basic constructions, data abstractions, and basic algorithms in Pyton language used for levelling of ...
      2025-04-21
    • An overview of the application of artificial intelligence in marine organism 

      Li, Chang Hao (БНТУ, 2024)
      As marine resources dwindle and environmental problems increase, monitoring and protection of marine organisms is becoming increasingly important. Marine organism detection can help us quickly and accurately identify and track biological targets in the marine environment. The application of artificial intelligence in marine organism detection is the most prominent research result ...
      2025-04-21
    • Analysis of soil erosion in the Minsk region of Belarus based on the RUSLE model 

      Zhao, Bochao (БНТУ, 2024)
      In this study, the RUSLE model was used in conjunction with remote sensing image information such as Sentinel 2 and field mapping data. A model of soil water erosion in the Minsk Region of Belarus was constructed and based on it a spatial analysis of soil erosion was carried out.
      2025-04-21
    • Analysis of technological parameters of a centrifugal impact crusher in the production of RDF-fuel 

      Dushkevich, D. V. (БНТУ, 2024)
      The article describes the relevance of switching to an alternative energy source, and also examines the behavior of a polymer material in an innova-tive shock-centrifugal type installation in order to obtain RDF fuel.
      2025-04-21
    • Binocular distance measurement principle 

      Guo, Qicheng; Li, Bohan (БНТУ, 2024)
      Common visual distance measurement is divided into monocular distance measurement and binocular distance measurement. Monocular distance measurement has low accuracy. Binocular distance measurement has the advantages of high efficiency and high accuracy and is an ideal choice for non-contact detection.
      2025-04-21
    • Comparative study of boston house price prediction models based on gan data augmentation 

      He, Runhai (БНТУ, 2024)
      This study aims to compare the performance of four machine learning models in the Boston housing price prediction task, and explore whether GAN data augmentation can improve the prediction performance of the model. Experimental results indicate that on the original data set, The CatBoost model demonstrated superior predictive performance, with an MSE of 4.76, RMSE of 2.18, MAE ...
      2025-04-21
    • Comparative test of three-stage potato soil separation device based on fluctuation equation 

      Liu, Zhixin; Ma, Shikuan; Cui, Mengjun; Shang, Shuqi; He, Xiaoning (БНТУ, 2024)
      The potato screening device of the current potato harvester has the problem of large potato damage. To this end, a three-stage low-loss potato soil separation device was designed and tested. The results show that the three-stage low-loss potato soil separation device can reduce potato damage.
      2025-04-21
    • Convolutional neural network based pest and disease recognition 

      Ma, Shikuan; Liu, Zhixin; Cui, Mengjun (БНТУ, 2024)
      In recent years, convolutional neural network, as one of the most representative algorithms of deep learning, has good generalization and accuracy. Crop pest and disease identification combined with image technology is an inevitable trend of future agricultural development, which plays a very important role in maintaining ecological balance, guaranteeing China's food security as ...
      2025-04-21
    • CRM系统的销售转化策略研究 

      Liu, Junjie (БНТУ, 2024)
      In the era of rapid development of digital economy, more and more enterprises are beginning to use digital technology to carry out marketing business. As one of the important resources of enterprises, customer relationship management system (CRM) plays a very critical role in the daily operation of enterprises.
      2025-04-21
    • Database design for multi-tenant e-commerce platform 

      Li, Fusheng; Zhou, Quanhua (БНТУ, 2024)
      The purpose of this article is to propose a complete database design scheme that meets the specific needs of multi-tenant e-commerce platforms. This includes essential strategies such as multi-tenant isolation policies, permission man-agement, index optimization, performance improvements, and scalability considerations, all aimed at building a high-performance, scalable database system.
      2025-04-21
    • Design and experimental study of intelligent directional ginger seeder with scales and buds 

      Wang, Ming (БНТУ, 2024)
      In order to promote the development of ginger planting mechanization in China, research has been conducted on intelligent working components such as ginger seed picking and bulb orientation adjustment, as existing ginger sowing machinery cannot automatically obtain ginger seeds from the seed box and automatically adjust the direction of the bulbs for directional planting. The aim ...
      2025-04-21
    • Design and experimental study of intelligent directional ginger seeder with scales and buds 

      Wang, Ming (БНТУ, 2024)
      In order to promote the mechanization of ginger planting in China, research has been conducted on the automatic planting robotic arm for ginger seed sowing to address the problem of existing ginger sowing machinery being unable to automatically obtain ginger seeds from the seed box and adjust the direction of the bulbs for directional planting. The purpose is to reduce damage to ...
      2025-04-21
    • Design and testing of a Pinellia ternata seeder 

      Mao, PengHui (БНТУ, 2024)
      At present, the degree of mechanization of Pinellia ternata seeding is low, and mainly adopts manual spot seeding, which is difficult to accurately control the spacing between rows and plants, and at the same time, it is very easy to cause inconsistency in the depth of seeding and other problems, which affects the quality of seeding and yield of Pinellia ternata. Based on the ...
      2025-04-21
    • Design of a low-loss soybean harvester reel 

      Yang, Ziao; Wang, Ruzheng; Shang, Shuqi; He, Xiaoning (БНТУ, 2024)
      To improve the harvesting efficiency of soybean headers and reduce loss rates, this study focuses on the structural design and simulation analysis of the reel. First, the working principle of the reel is analyzed, followed by model creation using 3D software. Subsequently, the model is simplified and subjected to kinematic analysis in ADAMS, showing that when the reel radius R = ...
      2025-04-21
    • Design of the cleaning device for seed production harvesters 

      Xia, Junjie (БНТУ, 2024)
      This research presents the design of a target-detection-based cleaning device for seed production harvesters. The device incorporates target detection technology, using a visual camera to locate residue positions and adjust the device's orientation based on the position information, enabling precise and efficient residue cleaning. This improves cleaning efficiency, avoids unnecessary ...
      2025-04-21
    • Enhancing heart disease prediction using gaussian process regression and sequential analysis for optimal sampling efficiency 

      He, Runhai; Li, Fusheng; Zhang, Zhenxing; Zhang, Shoujing (БНТУ, 2024)
      Heart disease poses a significant risk to global health, and accurate prediction of this risk is critical to public health. This study leverages the Kaggle heart disease dataset, employs machine learning models to predict heart disease risk, and introduces sequence analysis to minimize sample collection while maintaining accuracy. Of the four models, linear regression, Bayesian ...
      2025-04-21
    • How artificial intelligence transforms driving: from assistants to autopilots 

      Vendin, A. S.; Trushkova, I. N. (БНТУ, 2024)
      Artificial intelligence (AI) is transforming the automotive industry by enhancing driving safety, comfort, and efficiency. Advanced Driver Assistance Systems (ADAS) like lane-keeping, adaptive cruise control, and emergency braking help reduce driver fatigue and human error. Moving towards fully autonomous vehicles, AI-powered systems are currently at level three, where they can ...
      2025-04-21
    • Luminescent oxyfluoride glass and glass ceramics 

      Spakovskaya, A. S.; Trusova, E. E. (БНТУ, 2024)
      The research gives information on the production and research of up conversional luminescent oxyfluoride glass and glass ceramics based on them.
      2025-04-21