Browsing by Publisher: Приборостроение "БНТУ"

Now showing items 1-20 of 2771

    • 3-D протезирование верхних и нижних конечностей 

      Левоненко, Ю. И.; Лукьянов, А. В.; Кудина, А. В.; Габец, В. Л. (БНТУ, 2025)
      Исследовано применения 3D-печати для протезирования верхних и нижних конечностей. Проанализированы методы и материалы, обеспечивающие создание протезов.
      2026-01-14

    • 32-разрядный микроконтроллер STM32 и Arduino IDE 

      Исаев, А. В.; Кривицкий, П. Г.; Голубев, А. А.; Безлюдов, А. А. (БНТУ, 2016)
      32-разрядный микроконтроллер STM32 и Arduino IDE / А. В. Исаев [и др.] // Приборостроение-2016 : материалы 9-й международной научно-технической конференции, Минск, 23-25 ноября 2016 г. / Белорусский национальный технический университет ; редкол.: О. К. Гусев [и др.]. – Минск, 2016. – С. 68-70.
      2017-03-07

    • 3D-печать в технологии создания искусственных органов 

      Храмкова, А. С.; Монич, С. Г. (БНТУ, 2023)
      В этой статье рассматривается применение технологий 3D-печати и 3D-биопечати для изготовления функциональных медицинских фантомов и биоструктур, современное состояние, а также новые разработки и тенденции в области 3D-печатных функциональных медицинских фантомов (т. е. медицинских фантомов, имитирующих ткани, радиологически релевантных медицинских фантомов и физиологических ...
      2023-12-21

    • A meterological framework for quality enhancement in lead-acid battery grid manufacturing and performance assurance 

      Takunda, S. P.; Kuno, V. (БНТУ, 2025)
      This article describes a practical method for improving quality in lead-acid battery production by combining metrological support with quality management. Key manufacturing steps, such as grid casting and paste application, often vary and can cause faults like cracked plates and shorter battery life. The study introduces a framework that standardizes how important measurements ...
      2026-01-14

    • A mini review of precision agriculture, integrated sensor networks and ai technologies in mitigating water scarcity in Zimbabwean agriculture 

      Tinotenda, M.; Munyaradzi, R.; Peter, M.; Rajkumar, P.; Vikneswaran, V. (БНТУ, 2025)
      The agricultural sector in Zimbabwe is dominated by smallholder farmers. They face severe water scarcity due to recurrent droughts and erratic rainfall. This mini-review focuses on the potential of combining together precision farming methods, integrated sensor networks, and artificial intelligence to try and combat these challenges. Monitoring parameters using sensors enables ...
      2026-01-14

    • A parallel virtual instrumentation framework for improving diagnostic efficiency in bed-of-nails testers 

      Chamunorwa, T.; Musiiwa, P. B.; Zvavashe, T.; Rushambwa, M. C.; Tyavlovsky, A.; Svistun, A. I. (БНТУ, 2025)
      Conventional sequential PCB testers are inefficient, as a single failure halts all subsequent tests, leading to incomplete diagnostic data and delayed fault isolation. This study proposes a parallel virtual instrumentation framework in LabVIEW to overcome these limitations. By leveraging asynchronous execution, the framework runs multiple independent tests concurrently, continuing ...
      2026-01-14

    • A pragmatic and iterative framework for modern embedded systems product design: a case study of a lora based smart city technology enabler 

      Dzapasi, T. D.; Chimonyo, K. B.; Duri, R. (БНТУ, 2025)
      This paper presents an iterative framework for embedded systems design, validated through developing a third-generation LoRa-based smart city ecosystem. Traditional linear models fail to address manufacturing constraints and evolving requirements. The proposed framework integrates market benchmarking, manufacturer involvement, simulation, peer review, and data-driven iteration ...
      2026-01-14

    • A review of modern intelligent and energyefficient tobacco curing system 

      Munyanduri, T. P.; Makusha, D. T.; Chimonyo, K. B.; Rushambwa, M. C. (БНТУ, 2025)
      The article reviews the core technological components that enable intelligent and energy-efficient control of modern tobacco curing systems. Traditional flue-curing is a highly energy-intensive process relying heavily on subjective manual control, leading to high fuel consumption and variable leaf quality. This review focuses on the integration of Machine Vision (MV), specifically ...
      2026-01-14

    • A system for automatic processing, analysis and classification of ECG characteristics to determine various states of cardiac anomalies 

      Magrupov, T.; Talatov, Y.; Magrupova, M. (БНТУ, 2023)
      A systematic approach to the joint solution of problems of automatic processing, analysis, classification and measurement of characteristics of electrocardiogram signals is proposed, which ensures the elimination of one-sided solutions and organize a complex system consisting of various methods and algorithms. Algorithms have been developed for the proposed stages: preliminary ...
      2023-12-21

    • About information security management system application in Republic of Belarus 

      Kupreeva, G. (БНТУ, 2013)
      Kupreeva, G. About information security management system application in Republic of Belarus / G. Kupreeva // Приборостроение-2013 : материалы 6-й Международной научно-технической конференции (20–22 ноября 2013 года, Минск, Республика Беларусь) / ред. кол.: О. К. Гусев [и др.]. – Минск : БНТУ, 2013. – С. 139-140.
      2025-06-12

    • Advanced motion planning for real-time and scalable autonomous systems in high-dimensional environments 

      Tamasha, C.; Rudo, D. (БНТУ, 2025)
      Enabling safe, scalable, and intelligent autonomy in complex environments remains central to nextgeneration robotics. Autonomous vehicles, surgical robots, and manipulators demand real-time motion planning resilient to high-dimensional complexity. Traditional algorithms struggle under kinodynamic constraints, motivating hybrid learning–planning architectures. Integrating deep ...
      2026-01-14

    • Advanced sensor-based system for soil nutrient analysis and AI-driven crop recommendation 

      Dipak, P. P.; Tushar, H. J.; Sandip, R. S. (БНТУ, 2025)
      This research presents an automated soil analysis system integrating NPK sensors with machine learning for precision agriculture. The framework employs Arduino UNO microcontroller and ESP8266 Wi-Fi module to capture real-time nitrogen, phosphorus, and potassium levels from soil samples. Collected data transmits to cloud infrastructure where trained algorithms process nutrient ...
      2026-01-14

    • AI and computer vision-based pest and disease detection for greenhouse crops in Zimbabwe 

      Panashe, G. M.; Doubt, S.; Musaidzi, H.; Makusha, D. T. (БНТУ, 2025)
      Pests and diseases remain a major constraint to agricultural productivity in Zimbabwe, causing significant losses and limiting farmers’ income. In greenhouse farming, early detection of infestations is critical to ensure healthy crops and reduce pesticide overuse. This study presents a computer-vision system powered by artificial intelligence (AI) for early identification of ...
      2026-01-14

    • AI detection of drug activity in Telegram bots and groups for security applications 

      Manas, S. S.; Dipak, P. P.; Akhilesh, K.; Svetlin, A. (БНТУ, 2025)
      Encrypted messaging apps have become a center for illegal activities, especially drug trafficking, because of their privacy features. Telegram, in particular, offers anonymous group chats, channels, and bots that share information about drug supplies around the world. This paper presents a system that uses AI to detect drugrelated content on Telegram. We collect data from publicly ...
      2026-01-14

    • AI-driven instrumentation for predictive maintenance of solar pv and thermal collectors in smart grids 

      Kudzanayi, C.; Mutenhabundo, W.; Rindai, M. (БНТУ, 2025)
      The growing deployment of solar photovoltaic (PV) and thermal collector systems requires intelligent maintenance frameworks to improve reliability and reduce operational costs. This study presents a hybrid Aidriven predictive maintenance system integrating Long Short-Term Memory (LSTM) networks for temporal forecasting and Random Forest (RF) classifiers for fault detection within ...
      2026-01-14

    • Air and satellite traffic control and tracking 

      Balukho, I. N.; Boikа, F. V.; Beglik, V. V.; Kolchevsky, N. N. (БНТУ, 2023)
      Control and tracking of air and satellite traffic is carried out by official international and state systems. The paper discusses satellite and air traffic control systems.
      2023-12-21

    • An ict-enabled underground mine safety system for collision avoidance and real time tracking 

      Ruvimbo, S. C.; Lovemore, G. (БНТУ, 2025)
      Underground mining operations pose critical safety hazards which can be fatal. The ICT-enabled mine safety system discussed in this paper enables real-time monitoring of underground mining operations. RFID technology was utilized for real-time zonal localisation of miners and mobile equipment. GPS technology was incorporated for precise localisation. Echolocation technology was ...
      2026-01-14

    • An investigation into the power-performance trade-off in memristor-augmented sense amplifiers for nanoscale SRAM 

      Musiiwa, P. B.; Rushambwa, M. C.; Gwamuri, J.; Kanhukamwe, Q. C.; Tyavlovsky, A.; Svistun, A. I. (БНТУ, 2025)
      As technology ramps up to high nodes, SRAM sense amplifiers struggle suffer from increasing static power. The paper proposes memristors as non-volatile, tunable loads in cross-coupled differential sense amplifiers as a remedy. Simulation in a 45 nm node reveals 69.2 % leakage power reduction, making the solution appealing for low-power usage. The static power reduction comes at ...
      2026-01-14

    • Analysis of pressure ratio in the intake in dependence on high-voltage behaviours 

      Śebok, M.; Gutten, M.; Korenćiak, D.; Ostrica, L. (БНТУ, 2013)
      Analysis of pressure ratio in the intake in dependence on high-voltage behaviours / M. Sebok, M. Gutten, D. Korenciak, L. Ostrica // Приборостроение-2013 : материалы 6-й Международной научно-технической конференции (20–22 ноября 2013 года, Минск, Республика Беларусь) / ред. кол.: О. К. Гусев [и др.]. – Минск : БНТУ, 2013. – С. 257-258.
      2025-06-12

    • Anisotropy of thermo-optical coefficients of alexandrite laser crystal 

      Loiko, P.; Ghanbari, S.; Matrosov, V.; Yumashev, K.; Major, A. (БНТУ, 2018)
      Anisotropy of thermo-optical coefficients of alexandrite laser crystal / P. Loiko [и др.] // Приборостроение-2018 : материалы 11-й Международной научно-технической конференции, 14-16 ноября 2018 года, Минск, Республика Беларусь / редкол.: О. К. Гусев (председатель) [и др.]. – Минск : БНТУ, 2018. – С. 404-406.
      2019-05-02