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Journal articles on the topic 'Technology of machine building'

Author: Grafiati

Published: 28 May 2022

Last updated: 31 July 2025

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1

Zou, Yiquan, Zhaocheng Sun, Han Pan, Wenlei Tu, and Daode Dong. "Parametric Automated Design and Virtual Simulation of Building Machine Using BIM." Buildings 13, no. 12 (2023): 3011. http://dx.doi.org/10.3390/buildings13123011.

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With the continuous development of the construction technology of the main structure of high-rise buildings, traditional construction techniques have been widely used in high-rise building projects. However, these technologies have problems such as low safety, low intelligence, and poor integrity. In order to solve these challenges, the Third Engineering Bureau of China Construction independently developed a new type of construction technology—a high-rise building integrated work construction platform (referred to as a building machine). Building machines has been gradually applied to high-ris

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Xu, Junhao. "Study on Shield Machine Technology." Highlights in Science, Engineering and Technology 75 (December 28, 2023): 282–86. http://dx.doi.org/10.54097/vth1qb53.

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The shield machine is a specialized construction equipment used for excavating tunnels, particularly in underground construction projects. The shield machine plays a pivotal role in modern engineering and construction, minimizing surface disruption and environmental impact. Shield machines can adapt to different geological conditions and project requirements, and efficiently excavate tunnels in various ground conditions, reducing construction time and costs. Shield machines improve worker safety by reducing risks associated with manual tunneling, and digging tunnels with high precision, crucia

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Khorramshahi, Mohammad Reza, and Ali Mokhtari. "Automatic Construction by Contour Crafting Technology." Emerging Science Journal 1, no. 1 (2017): 28. http://dx.doi.org/10.28991/esj-2017-01113.

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Contour Crafting is a novel technology in construction industry based on 3D printing that uses robotics to construct free form building structures by repeatedly laying down layers of material such as concrete. It is actually an approach to scale up automatic fabrication from building small industrial parts to constructing buildings. However, there are little information about contour crafting (CC) in current use; present paper aims to describe the operational steps of creating a whole building by the machine reviewing relevant literature. Furthermore, it will represent the advantages of CC usa

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Tahmasebinia, Faham, Lin Lin, Shuo Wu, Yifan Kang, and Samad Sepasgozar. "Exploring the Benefits and Limitations of Digital Twin Technology in Building Energy." Applied Sciences 13, no. 15 (2023): 8814. http://dx.doi.org/10.3390/app13158814.

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Buildings consume a significant amount of energy throughout their lifecycle; Thus, sustainable energy management is crucial for all buildings, and controlling energy consumption has become increasingly important for achieving sustainable construction. Digital twin (DT) technology, which lies at the core of Industry 4.0, has gained widespread adoption in various fields, including building energy analysis. With the ability to monitor, optimize, and predict building energy consumption in real time. DT technology has enabled sustainable building energy management and cost reduction. This paper pro

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Et. al., M. Vishnu Vardhana Rao,. "A Machine Learning-based Damage Prediction Techniques for Structural Health Monitoring." Turkish Journal of Computer and Mathematics Education (TURCOMAT) 12, no. 2 (2021): 3392–405. http://dx.doi.org/10.17762/turcomat.v12i2.2401.

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Nowadays, the Structural Building Health Damage Monitoring System (SBHDMS) is a crucial technology for predicting the civil building structures' health. SBHDMS contains abnormal changes in the buildings in terms of damage levels. Natural Disasters like Earthquakes, Floods, and cyclones affect the unusual changes in the buildings. If the building undergoes any natural disaster, the sensors capture the vibration data or change the buildings' structure. Due to the vibration data, these unusual changes can be analyzed. Here sensors or Machine Learning based Building Damage Prediction (MLBDP) are u

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Chen, Qi, and Nan Sheng. "Application of Machine Learning Algorithm in Stadium Engineering Building Information Model Management System." Mobile Information Systems 2022 (August 29, 2022): 1–11. http://dx.doi.org/10.1155/2022/8454443.

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BIM (building information modeling) is a building information modeling technology. It is a modeling technology that has quietly emerged in the architectural design and construction industry and will gradually replace the traditional CAD drawing technology. In addition to carrying geometric information of graphics, it can also carry buildings and building components. The engineering and nonengineering information of the building space has a higher degree of visualization and a stronger sense of three-dimensionality, and all the building information can be put into a model. The model can provide

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АШМАРИН, В. В., З. С. ФИЛИППОВ, and О. А. ФИЛИППОВА. "OILY WASTEWATER TREATMENT TECHNOLOGY AT A MACHINE-BUILDING ENTERPRISE." Экономика и предпринимательство, no. 8(157) (October 23, 2023): 935–41. http://dx.doi.org/10.34925/eip.2023.157.8.174.

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В статье рассмотрены вопросы прогнозирования вероятности аварии на установке ультрафильтрации, предназначенной для очистки отработанной смазочно-охлаждающей жидкости от нефтепродуктов. Приведены данные производственных испытаний предлагаемой технологии при очистке нефтесодержащих сточных вод на машиностроительном предприятии. The article deals with the issues of predicting the probability of an accident at an ultrafiltration plant designed to purify spent coolant from petroleum products. The data of production tests of the proposed technology for the treatment of oily wastewater at a machine-b

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Sędek, Piotr, and Marek Stanisław Węglowski. "Application of Mechanical Vibration in the Machine Building Technology." Key Engineering Materials 504-506 (February 2012): 1383–88. http://dx.doi.org/10.4028/www.scientific.net/kem.504-506.1383.

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The application of mechanical vibration has been known for many years, but some controversy still exists. According to some ideas the mechanical vibration reduces the technological stresses by summation of technological stress and stress from external loads (vibration). But on the other hand, the mechanical vibration causes more complicated phenomena (micro-relaxation) resulting in dimensional stability close to natural seasoning effects. In the present study authors present results of research into mechanical vibration from the experimental and practical point of view, proving that this proce

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Luo, Fajiang, Guangxing Xu, Shiwei Li, et al. "Analysis of the safety impact of mobile rail hydraulic spreader on residential building machines under the system of building machines." Highlights in Science, Engineering and Technology 62 (July 27, 2023): 119–28. http://dx.doi.org/10.54097/hset.v62i.10433.

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The construction industry in China is a labor-intensive industry, but the cheap labor force has begun to change in recent years, with labor costs rising. In some labor exporting provinces, there has even been a "battle for talent.". Based on this, the "14th Five Year Plan" construction industry development plan issued by the Ministry of Housing and Urban-Rural Development proposes to accelerate the coordinated development of intelligent construction and industrialization of new buildings, and promote digital design, intelligent production, and intelligent construction. With the continuous prog

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Cui, Gao Feng, Hao Chun Liu, Yong Tian Geng, and Yi Liu. "Construction Technology of Water Additional-Weight Immersed Tube Static Piling Machine." Applied Mechanics and Materials 368-370 (August 2013): 864–67. http://dx.doi.org/10.4028/www.scientific.net/amm.368-370.864.

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With development of modern science and technology, pile type and pile foundation type, construction technology and construction equipment, pile foundation theory and design method have large evolution. Pile foundation has been to the ordinary foundation type used in the field with week soil texture for constructing all kinds of buildings, especially for high-rise building, heavy duty factory and the structure with special requirement.

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Sakharov, A. V. "Selection of machine tool equipment when implementing modular technology." E3S Web of Conferences 583 (2024): 05011. http://dx.doi.org/10.1051/e3sconf/202458305011.

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This article is about choosing the right machine tool equipment when you're introducing modular technology into engineering production. The objective was to analyze possible solutions and choose the optimal option. We will consider two variants: the first is the creation of new machine tools for the production of surface modules, and the second is the use of existing machine tools. The second option should be studied with traditional machine tools because it is associated with lower time and labor costs. Twenty machine tools of different types, commonly found in machine-building plants, were s

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Ge, Minyue, Zhang Feng, and Qian Meng. "Urban Planning and Green Building Technologies Based on Artificial Intelligence: Principles, Applications, and Global Case Study Analysis." Scientific Journal of Technology 6, no. 8 (2024): 9–21. http://dx.doi.org/10.54691/9qv2q798.

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The application of AI technology in urban planning covers multiple levels, such as data analysis, decision support, and automated planning. Urban research relies on AI technology to understand and summarize the law of urban growth and improve the analysis of the evolution trend of urban space. Planning and design use AI technology to explore the relevant factors affecting urban development and their weights and discuss the critical role of green building technology in the sustainable development of the construction industry. With the increase in global energy consumption and carbon emissions,

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Minyue, Ge, Feng Zhang, and Meng Qian. "Urban Planning and Green Building Technologies Based on Artificial Intelligence: Principles, Applications, and Global Case Study Analysis." Applied Science and Engineering Journal for Advanced Research 3, no. 5 (2024): 18–27. https://doi.org/10.5281/zenodo.13948804.

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The application of AI technology in urban planning covers multiple levels, such as data analysis, decision support, and automated planning. Urban research relies on AI technology to understand and summarize the law of urban growth and improve the analysis of the evolution trend of urban space. Planning and design use AI technology to explore the relevant factors affecting urban development and their weights and discuss the critical role of green building technology in the sustainable development of the construction industry. With the increase in global energy consumption and carbon emissions,

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Szpytko, Janusz. "Safety of technology with machine intelligence." Journal of Konbin 54, no. 2 (2024): 135–41. http://dx.doi.org/10.5604/01.3001.0054.6490.

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As a result of the digitalization of industry and human activity environments, and also the development of machine intelligence, it is reasonable to start a debate on the safety of technology with machine intelligence. Machine intelligence is a kind of extension and reinforcement of humans in the area of building specific data and knowledge resources with a focus on their purposeful and safe use for specific needs. The subject of the statement is the analysis of selected literature on the safety of technology with machine intelligence.

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SVISTUNOV, O. "FEATURES OF TECHNOLOGICAL RENEWAL POLICY FORMATION OF THE MACHINE-BUILDING ENTERPRISES." Herald of Khmelnytskyi National University. Economic sciences 284, no. 4 (2020): 177–80. https://doi.org/10.31891/2307-5740-2020-284-4-33.

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In the conditions of international hypercompetition and the need to ensure economic security due to accelerated economic growth, the need for high-quality technology upgrades based on innovation, intellectualization and expansion of high-tech processes is relevant. As the change in technological systems creates many new economic phenomena that require theoretical research and forecasting, new categories and concepts emerge that reveal the essence of technological renewal of the current stage of economic development in various forms of its manifestation. For this reason the research of features

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Lyakhovska, Olena V. "The place and role of corporations in domestic machine building." Socio-Economic Problems of the Modern Period of Ukraine, no. 5(151) (2021): 3–8. http://dx.doi.org/10.36818/2071-4653-2021-5-1.

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The main trends in the development of machine-building enterprises in Ukraine are studied. The research proves that large and medium-sized machine-building enterprises sell more products, and the level of profitability of their activities is higher than that of small enterprises. These trends are due, in particular, to the fact that large and medium-sized machine-building enterprises could provide greater funding for the production and development of technical and technological processes, the creation of research units and diversification of markets through international trade and more. A decr

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Makarov, V. M., A. Z. Kaganovich, and A. B. Bukhvalov. "Resource-saving technologies in machine building." Chemical and Petroleum Engineering 31, no. 10 (1995): 564–67. http://dx.doi.org/10.1007/bf01147172.

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Odegov, Ju G., A. P. Garnov, and E. V. Loginova. "Objectives and Prospects of Developing Machine-Tool Building as a Nucleus of the Highly-Technological Sector of Russian Economy." Vestnik of the Plekhanov Russian University of Economics, no. 4 (July 29, 2018): 79–86. http://dx.doi.org/10.21686/2413-2829-2018-4-79-86.

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The article studies history of Russian machine-tool building, analyzes the current situation in this industry and shows prospects of its development. It provides intermediary results of import-substitution policy. We can say that dependence on import has declined, but it is still high. Industry products have low competitiveness both on foreign and home market. The authors show key problems of Russian machine-tool building industry: shortage of new, advanced equipment; deficit of investment resources; high import dependence; serious fragmentation. They identify factors influencing the establish

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Shaher, Dr Aref Murshed, and Ali Saleh Mohammed Abdulrazaq. "Vibration in the building with machines on the floors." مجلة جامعة الملكة أروى العلمية المحكمة 1, no. 23 (2023): 24. http://dx.doi.org/10.58963/qausrj.v1i23.136.

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At present, with the progress of science technology materials appeared construction materials with high mechanical properties (high-strength, high-damping and light..etc) and a sophisticated vibration isolation systems. It is also accompanied by the development of methods of analysis and structural design and prosperity aware software and electronics all contributed significantly to the in-depth study of vibration buildings more comprehensive than its predecessors and at the same time meet the requirements for the design of civil - architecture. In case of machines founded on the floor there e

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Mangalathu, Sujith, Han Sun, Chukwuebuka C. Nweke, Zhengxiang Yi, and Henry V. Burton. "Classifying earthquake damage to buildings using machine learning." Earthquake Spectra 36, no. 1 (2020): 183–208. http://dx.doi.org/10.1177/8755293019878137.

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The ability to rapidly assess the spatial distribution and severity of building damage is essential to post-event emergency response and recovery. Visually identifying and classifying individual building damage requires significant time and personnel resources and can last for months after the event. This article evaluates the feasibility of using machine learning techniques such as discriminant analysis, k-nearest neighbors, decision trees, and random forests, to rapidly predict earthquake-induced building damage. Data from the 2014 South Napa earthquake are used for the study where building

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Bouabdallaoui, Yassine, Zoubeir Lafhaj, Pascal Yim, Laure Ducoulombier, and Belkacem Bennadji. "Predictive Maintenance in Building Facilities: A Machine Learning-Based Approach." Sensors 21, no. 4 (2021): 1044. http://dx.doi.org/10.3390/s21041044.

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The operation and maintenance of buildings has seen several advances in recent years. Multiple information and communication technology (ICT) solutions have been introduced to better manage building maintenance. However, maintenance practices in buildings remain less efficient and lead to significant energy waste. In this paper, a predictive maintenance framework based on machine learning techniques is proposed. This framework aims to provide guidelines to implement predictive maintenance for building installations. The framework is organised into five steps: data collection, data processing,

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GVOZDEVA, Elena A. "Methodology to assess the feasibility of controlling at a machine-building enterprise." Economic Analysis: Theory and Practice 23, no. 2 (2024): 223–36. http://dx.doi.org/10.24891/ea.23.2.223.

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Subject. The article considers a methodology for assessing the feasibility of building a controlling system at a modern machine-building enterprise. Objectives. The purpose is to develop a methodological approach to assessing the feasibility of introducing controlling at a machine–building enterprise, to test it, using the case of a machine-building enterprise. Methods. The study employs methods of analysis, synthesis, comparison, and scientific generalization. Results. I present my own approach to assessing the feasibility of building a controlling system at a machine-building enterprise, des

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Biessmann, Felix, Bhaskar Kamble, and Rita Streblow. "An Automated Machine Learning Approach towards Energy Saving Estimates in Public Buildings." Energies 16, no. 19 (2023): 6799. http://dx.doi.org/10.3390/en16196799.

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Reducing the energy consumption of buildings in the public sector is an important component in our efforts towards reaching our sustainability goals. In this context, a decisive prerequisite for administrations and policy makers is a tool for estimating the effectiveness of measures to reduce energy consumption. Estimating the impact of planned investments in building technology at scale, however, remains challenging, mainly for two reasons. For one, accurate physical modeling requires detailed building data, which can be difficult to obtain. Second, adapting established building models to nov

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Bilokon, O. S. "Application of deep learning technology for creating intellectual autonomous machines." PROBLEMS IN PROGRAMMING, no. 2-3 (September 2020): 407–18. http://dx.doi.org/10.15407/pp2020.02-03.407.

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One of the most common tasks that arise in building intelligent machine vision systems for intellectually autonomous machines is the problems of classification and regression. Classification problems are used for the reflexive action of autonomous machines. Prediction tasks can be used to build machine vision systems to provide intelligent autonomous machines with environmental knowledge, which in turn is important for planned predictable movements. Defining a class of task instances is an important procedure for the effective design of deep learning systems. In this context, the possibility o

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Adegoke, Muideen, Alaka Hafiz, Saheed Ajayi, and Razak Olu-Ajayi. "Application of Multilayer Extreme Learning Machine for Efficient Building Energy Prediction." Energies 15, no. 24 (2022): 9512. http://dx.doi.org/10.3390/en15249512.

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Building energy efficiency is vital, due to the substantial amount of energy consumed in buildings and the associated adverse effects. A high-accuracy energy prediction model is considered as one of the most effective ways to understand building energy efficiency. In several studies, various machine learning models have been proposed for the prediction of building energy efficiency. However, the existing models are based on classical machine learning approaches and small datasets. Using a small dataset and inefficient models may lead to poor generalization. In addition, it is not common to see

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Irwansyah, Defi, Asnawi Asnawi, Mutammimul Ula, Ilham Sahputra, Bagas Nur Sahbana, and Fadly Arrahman. "Design and building CNC engraving router machine using Arduino Uno with GRBL control system." Edelweiss Applied Science and Technology 8, no. 6 (2024): 4570–84. http://dx.doi.org/10.55214/25768484.v8i6.2988.

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Computer Numerical Control Machines are one of the advances in automatically operated machining technology that can meet the need for complex and high-precision products. CNC machine parts generally have a mechanical and electrical system, also called a machine controller, that uses a Human Machine Interface at a high price. One of the software used to control the CNC machine is Arduino Uno, a PC-based GRBL System with a low price and the same function. This software is not far from the advantages of the HMI panel. Operating the machine with this software is also not that difficult. In this re

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Huang, Junhui, Mohammed Algahtani, and Sakdirat Kaewunruen. "Energy Forecasting in a Public Building: A Benchmarking Analysis on Long Short-Term Memory (LSTM), Support Vector Regression (SVR), and Extreme Gradient Boosting (XGBoost) Networks." Applied Sciences 12, no. 19 (2022): 9788. http://dx.doi.org/10.3390/app12199788.

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A primary energy consumption and CO2 emission source stems from buildings and infrastructures due to rapid urbanisation and social development. An accurate method to forecast energy consumption in a building is thus critically needed to enable successful management of adaptive energy consumption and ease the level of CO2 emission. However, energy forecasting for buildings, especially residential buildings, has several challenges, such as significant variations in energy usage patterns due to unpredicted demands of the residences and some intricate factors, which can randomly affect the pattern

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Belyakov, S., G. Belyakova, D. Fokina, and A. Ryzhaya. "Components of the digital information technology platform of machine-building enterprises." Journal of Physics: Conference Series 1889, no. 3 (2021): 032034. http://dx.doi.org/10.1088/1742-6596/1889/3/032034.

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Chen, Valerie, Jeffrey Li, Joon Sik Kim, Gregory Plumb, and Ameet Talwalkar. "Interpretable Machine Learning." Queue 19, no. 6 (2021): 28–56. http://dx.doi.org/10.1145/3511299.

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The emergence of machine learning as a society-changing technology in the past decade has triggered concerns about people's inability to understand the reasoning of increasingly complex models. The field of IML (interpretable machine learning) grew out of these concerns, with the goal of empowering various stakeholders to tackle use cases, such as building trust in models, performing model debugging, and generally informing real human decision-making.

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Vdovenko, Nataliia, Nataliia Korоbova, and Anastasiya Yatsun. "Approaches to forming the economic security of ukraine’s machine-building complex and foreign countries in the context of international economic activity." Ukrainian Journal of Applied Economics and Technology 2024, no. 3 (2024): 316–20. http://dx.doi.org/10.36887/2415-8453-2024-3-56.

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The article explores approaches to forming the economic security of Ukraine’s machine-building complex, drawing on international experience and global economic activity. In the context of globalization and increasing competition, Ukrainian enterprises need to enhance productivity, which is currently 40% lower than in EU countries. In 2023, the capital assets per worker amounted to approximately 1.5 million UAH, almost half of that in Poland and the Czech Republic. The machine-building sector requires 5–7 billion UAH investments annually over the next five years to reach European productivity s

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Tong, Shi Hua. "The Intelligent Building Entrance Machine Design and Realization Based on the Ethernet." Advanced Materials Research 482-484 (February 2012): 878–82. http://dx.doi.org/10.4028/www.scientific.net/amr.482-484.878.

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On the basis of Ethernet technology and intelligent building controlling technology, the intelligent building entrance machine based on Ethernet is designed. Different from the traditional entrance machine, the device does not require a dedicated audio and video signal lines. All signal transmission can be completed by only one cable. Significantly reduce the cost of cable, wiring costs and installation costs, and the accuracy and reliability of signal transmission.

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Ouabira, Monier Madison. "Future of Commissioning." European Journal of Architecture and Urban Planning 4, no. 2 (2025): 13–21. https://doi.org/10.24018/ejarch.2025.4.2.48.

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The future of commissioning is bright; this is owing to the rapid advancement in technology that is changing how the construction process is aligned. A steep focus on green energy initiatives and smart city design requirements have further refined construction sector, and more changes are anticipated in the future (Singh & Anumba, 2023). Technology such as machine learning, robotics, and motion sensor technology is being used to automate and digitize building construction, helping to save on time, resources, and budgets. The construction sector is expected to push towards greener energy an

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Tadjikuziyev, R. M. "TECHNOLOGY OF REPAIR OF PRESS MOLDS FOR PRODUCTION OF MACHINE PARTS FROM STEEL COILS, ALUMINUM ALLOYS." American Journal Of Applied Science And Technology 02, no. 04 (2022): 1–11. http://dx.doi.org/10.37547/ajast/volume02issue04-01.

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The article provides knowledge and skills on the rational use of equipment of machine tools, a single system of pre-scheduled repairs to extend the service life of metal cutting machines, an inspection of machines, wear of parts and components and modern methods of their restoration, the formation of appropriate knowledge, skills and competencies. In particular, at present, the enterprises producing parts for the local automotive industry, operating in the regions of the Republic, produce products on large press tandem lines and small press machines. Thousands of expensive press moulds are imp

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Nelson, William, and Charles Culp. "FDD in Building Systems Based on Generalized Machine Learning Approaches." Energies 16, no. 4 (2023): 1637. http://dx.doi.org/10.3390/en16041637.

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Automated fault detection and diagnostics in building systems using machine learning (ML) can be applied to commercial buildings and can result in increased efficiency and savings. Using ML for FDD brings the benefit of advancing the analytics of a building. An automated process was developed to provide ML-based building analytics to building engineers and operators with minimal training. The process can be applied to buildings with a variety of configurations, which saves time and manual effort in a fault analysis. Classification analysis is used for fault detection and diagnostics. An ML ana

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Bushma, O., O. Dolyanovskaya, and V. Khaskin. "Increase of Economic Efficiency of Machine Building by Application of Reconditioning Technologies." Applied Mechanics and Materials 682 (October 2014): 631–35. http://dx.doi.org/10.4028/www.scientific.net/amm.682.631.

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Tendencies of current development of science and technology as well as crisis phenomena of the last years showed that the problems of energy saving and conservation of natural resources refer to the most relevant issues of machine building economy. One of the ways for solving of such problems is extension of a service life of the parts of machines and mechanisms. Various reconditioning technologies are used for this and present work is dedicated to investigation of prospects of their commercial application.

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Kim, Yunho, Yunha Park, Hyuncheol Seo, and Jungha Hwang. "Load Prediction Algorithm Applied with Indoor Environment Sensing in University Buildings." Energies 16, no. 2 (2023): 999. http://dx.doi.org/10.3390/en16020999.

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Recently, building automation system (BAS) and building energy management system (BEMS) technologies have been applied to efficiently reduce the energy consumption of buildings. In addition, studies on utilizing large quantities of building data have been actively conducted using artificial intelligence and machine learning. However, the high cost and installation difficulties limit the use of measuring devices to sense the indoor environment of all buildings. Therefore, this study developed a comprehensive indoor environment sensor module with relatively inexpensive sensors to measure the ind

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Soyibdzhan, Sodikovich Negmatov Nodira Soyibjanovna Abed Giyas Gulyamov Olim Kholikulovich Eshkobilov. "Technologies for the Production of Machine-Building Composite Polymer Materials and Coatings Working in Contact With Raw Cotton." INTERNATIONAL JOURNAL OF MULTIDISCIPLINARY RESEARCH AND ANALYSIS 04, no. 11 (2021): 1685–90. https://doi.org/10.47191/ijmra/v4-i11-32.

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Based on numerous analyses of the research results, a technology was developed for obtaining the developed composite thermosetting polymer coatings based on thermosetting polymers-epoxy oligomers ED-20, FAED-20 and FEIS-30 plasticizer, dibutyl phthalate, polyethylene polyamine hardener and industrial waste and organomineral ingredients, as well as a technology for applying antifriction-strength composite polymer coatings for machine-building purposes on metal surfaces of products of various machines and mechanisms.

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Manesi, Damianus, Imanuel A. Tnunay, Elkana B Lopo, Jemssy R. Rohi, and Boy Bistolen. "Design and Building of Servo Motor Portable Coconut Peller Machine." International Journal of Advanced Engineering Research and Science 10, no. 4 (2023): 069–73. http://dx.doi.org/10.22161/ijaers.104.8.

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Threats to food security for the Indonesian nation as an agricultural country are still occurring where the government is still opening import faucets, especially for food products. For this reason, Indonesia needs to build food self-sufficiency by optimizing its potential and resources, one of which is through the use of post-harvest technology. Utilization of post-harvest technology can be carried out on all types of commodities, one of which is coconut. Coconut as a leading commodity in the agricultural sector is a multifunctional plant and can grow in all regions of Indonesia. Even though

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Maximov, Yury. "Theory and Practice of Technology for Machining Non-Rigid Smooth Shafts." Key Engineering Materials 496 (December 2011): 168–75. http://dx.doi.org/10.4028/www.scientific.net/kem.496.168.

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In modern machine-building the problem of creating highly-efficient technological mechanical machining processes, taking into account the energy and resources-saving and ecological requirements is one of the paramount importance. Throughout the whole period of machine-building technology development there were great difficulties owing to the problems of machining parts with low rigidity and high demands on quality. At creating the technological processes of similar parts’ machining, as at creating any technological process, it is necessary to provide realization of the principle of combining t

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Singh, Rajesh, Kuchkarbaev Rustam Utkurovich, Ahmed Alkhayyat, G. Saritha, R. Jayadurga, and K. B. Waghulde. "Machine Learning Applications in Energy Management Systems for Smart Buildings." E3S Web of Conferences 540 (2024): 08002. http://dx.doi.org/10.1051/e3sconf/202454008002.

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This paper reviews the work in the areas of machine learning applications for energy management in smart buildings, 5G technology’s role in smart energy management, and the use of machine learning algorithms in microgrid energy management systems. The first area focuses on the adaptability of building-integrated energy systems to unpredictable changes through AI-initiated learning processes and digital twins. The second area explores the impact of 5G technology on smart buildings, particularly in Singapore, emphasizing its role in facilitating high-class services and efficient functionalities.

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Goryk, Оleksii, Andrii Buchynskyi, Lyubomyr Romanyshyn, Saltanat Nurkusheva, and Michał Bembenek. "Evaluation of the State of Innovative Activity of Machine-Building Enterprise." Management Systems in Production Engineering 32, no. 1 (2024): 1–11. http://dx.doi.org/10.2478/mspe-2024-0001.

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Abstract The innovative activity of machine-building enterprises is the main guarantee of their sustainable and effective development, which makes it possible to compare technical and technological innovation in the production of products in different periods and between different enterprises in points. Quantitative numerical assessment of the innovative component of the enterprise is a prerequisite for developing a strategy for further effective production management. After all, in addition to financial performance indicators, technical innovations play a decisive role in the modern market en

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Chia, Zi Yang, and Pey Yun Goh. "Real Time 3D Internal Building Directory Map." Journal of Informatics and Web Engineering 3, no. 2 (2024): 37–56. http://dx.doi.org/10.33093/jiwe.2024.3.2.3.

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Global Positioning System (GPS) is a famous technology around the world in identifying the real time precise location of any object with the assistance of satellites. The most common application of GPS is the use of outdoor maps. GPS offers efficient, scalable and cost-effective location services. However, this technology is not reliable when the position is in an indoor environment. The signal is very weak or totally lost due to signal attenuation and multipath effects. Among the indoor positioning technologies, WLAN is the most convenient and cost effective. In recent research, machine learn

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Gerasymchuk, V. H., and O. O. Zrobok. "COMPETITIVENESS OF DOMESTIC PRODUCTS IN THE INTERNATIONAL MACHINE BUILDING MARKET: REALITIES AND PROSPECTS." THEORETICAL AND APPLIED ISSUES OF ECONOMICS, no. 42 (2021): 80–91. http://dx.doi.org/10.17721/tppe.2021.42.7.

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The essence of the concept of "product competitiveness" is considered. The factors of competitiveness of products of machine-building enterprises on the international market are systematized. Based on the systematization of quantitative and qualitative methods of assessing the level of competitiveness, a step-by-step method for mechanical engineering enterprises is proposed. The state of the machine-building complex of Ukraine is considered. The dynamics of factors of international competitiveness of machine-building enterprises is analyzed: number of enterprises by machine-building branches;

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Demchenko, E. B., and E. I. Marukovich. "Basic principles of the continuous casting technology development for machine‑building blanks." Litiyo i Metallurgiya (FOUNDRY PRODUCTION AND METALLURGY), no. 3 (October 14, 2022): 48–52. http://dx.doi.org/10.21122/1683-6065-2022-3-48-52.

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It is shown that during developing continuous casting technology, it is necessary to solve a number of tasks related to finding the optimal technology option, creating special equipment to expand the range of cast blanks and calculating optimal parameters. The profile, dimensions and material of the blanks determine the continuous casting method choice and the installation type. Designs of the most important components and mechanisms are being developed for the selected type of installation. For the selected design solution, based on the lesson learned and available research, optimal thermal a

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KOVALEVSKYY, S. V., V. M. OSIPOV, and M. S. KUKOSH. "THE ROLE OF THE MACHINE-BUILDING CLUSTER IN ENSURING THE DEFENCE CAPABILITY OF UKRAINE." Economic innovations 25, no. 4(89) (2023): 58–67. http://dx.doi.org/10.31520/ei.2023.25.4(89).58-67.

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Topicality. Given the geopolitical situation, where Ukraine faces threats to its sovereignty and territorial integrity, ensuring defense capability becomes the most important task. The development of modern technologies in the defense industry, including Industry 4.0, emphasizes the need to supply the Ukrainian army with high-quality foreign equipment and technologies. Cooperation with leading international corporations in the defense sector opens up opportunities for technology exchange, investments, and the integration of new possibilities for the development of the Ukrainian defense industr

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Xavier, André Amorim Gonçalves, Flavio Maldonado Bentes, Marcelo de Jesus Rodrigues da Nóbrega, Fabiano Battemarco da Silva Martins, and Hildson Rodrigues de Queiroz. "CNC Machine Building Through Open Sources Projects and Programs." International Journal for Innovation Education and Research 8, no. 9 (2020): 108–18. http://dx.doi.org/10.31686/ijier.vol8.iss9.2600.

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This research presents a theoretical and practical approach on the construction of a low-cost CNC machine, using as a base model found on the internet. Having his knowledge of movement that in the past was movement only one axis at a time, and in current controls movement on three simultaneous axes. The use of an Arduino micro controller will be the key part of the machine's operation, since it behaves like a PLC, starting from basic to advanced programming. The use of the project will end in its academic use and the dissemination of the technology used

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Shaptala, Stanislav, and Natalia Myronova. "Embedding Digital Twin Technology in Robotics." Management of Development of Complex Systems, no. 53 (March 17, 2023): 45–51. http://dx.doi.org/10.32347/2412-9933.2023.53.45-51.

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The relevance of introducing digital twin technology in robotics is substantiated, which allows testing and modelling the capabilities of robots, such as manipulation, grasping, etc., using virtual robot prototypes that are identical copies of physical robot prototypes. An overview of the key components of the digital twin framework for robotics, including the physical element, virtual element, middleware, service and transport components, is provided. A technology for designing a robot using digital twins is proposed, including the design of a computer model of a robot using a computer-aided

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Sommer, Bernhard, and Galo Moncayo. "Machine Learning and Artificial Intelligence in Building Physics Education." Bauphysik 45, no. 6 (2023): 305–14. http://dx.doi.org/10.1002/bapi.202300020.

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AbstractThis series presents articles on the use of computer programmes in university teaching of building physics and building technology for architects and civil engineers. This contribution highlights the utilization of machine learning and artificial intelligence (AI) in building physics education, drawing upon the expertise of the Energy Design department. The research conducted within the department encompasses the development of custom‐made digital tools, prototyping, and integration of sensors into energy concepts and the implementation of these concepts into building elements. It show

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Cheema, Qasim Naveed. "BLOCKCHAIN AND MACHINE LEARNING INTEGRATION FOR ENHANCING IOT CYBERSECURITY IN DISTRIBUTED IOT-DRIVEN INFORMATION TECHNOLOGY ECOSYSTEMS." INTERNATIONAL JOURNAL OF PROGRESSIVE RESEARCH IN ENGINEERING MANAGEMENT AND SCIENCE 05, no. 04 (2025): 2427–31. https://doi.org/10.5281/zenodo.15285352.

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  The fusion between Blockchain technology and Machine Learning capabilities creates a complete system that improves distributed Internet of Things security by building a new operational model. Modern security systems fall short when applied to IoT deployments because of their size and diverse system types along with limited operational resources. The research analyzes the implementation of Blockchain and Machine Learning for building an adaptive security framework that enhances resilience in IoT systems. The proposed security framework utilizes Blockchain technology’s distributed l

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Liu, Yang, Yuhui Sun, Ang Yang, and Jing Gao. "Digital Twin-Based Ecogreen Building Design." Complexity 2021 (June 4, 2021): 1–10. http://dx.doi.org/10.1155/2021/1391184.

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The high operation cost of green building, insufficient informationization and automation management capability, and the lack of effective operation cost control seriously restrict the development of the industry and the realization of green goals. In order to solve the problem of insufficient capability of green building operation cost management, based on the digital twin technology in the manufacturing field, we analyze the characteristic requirements and theoretical basis of green building operation cost management for system, propose a green building operation cost management system based

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