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Journal articles on the topic 'Machine Engineering (General)'

Author: Grafiati

Published: 4 June 2021

Last updated: 27 July 2025

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1

Huguet, M. "Fusion Power and the JET Project—A General Presentation." Proceedings of the Institution of Mechanical Engineers, Part A: Power and Process Engineering 199, no. 4 (1985): 255–60. http://dx.doi.org/10.1243/pime_proc_1985_199_032_02.

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This paper gives an introduction to the principles of fusion reactions and fusion power. The basic engineering features of fusion machines and the JET (Joint European Torus) are also described together with the mechanical problems specific to this type of machine.

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Pittman, Jason M., and Courtney Crosby. "Bias in Cognitive Engineering for HumanMachine Teaming Literature." American Journal of Science & Engineering 2, no. 3 (2021): 1–8. http://dx.doi.org/10.15864/ajse.2301.

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Machines have a plethora of applications in spaces dangerous, hostile, or high-risk to humans. Given such applications, the fields of human-machine teaming and cognitive engineering, while nascent, are developing at a staggering rate. At the heart of these disciplines is a doctrine espousing an agent-centric concept based on common properties shared between machines and human operators. Symbiotically, the goal is to ensure machine and human mutually benefit from the teaming. Yet, the literature has been fixated on system design and machine-agent optimization for performance. Thus, the literatu

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Mcgraw, Gary, Richie Bonett, Harold Figueroa, and Victor Shepardson. "Security Engineering for Machine Learning." Computer 52, no. 8 (2019): 54–57. http://dx.doi.org/10.1109/mc.2019.2909955.

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4

Typiak, Rafał. "Multiple Unmanned Engineering Machine Management System." Solid State Phenomena 210 (October 2013): 287–93. http://dx.doi.org/10.4028/www.scientific.net/ssp.210.287.

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The article showcases a concept of using multiple Unmanned Engineering Machines (UEMs) for carrying out a single, complex engineering task. Major part of it focuses on the overall structure of the system and the way in allows to interact between the human-operator and the UEMs. Controlling a single machine requires a lot from the operator in terms of concentration and managing a lot of data. Having him simply command several different units would create the level of stress exponentially. That is why the paper presents a series of mechanisms which could take the unnecessary load from the operat

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KANITANI, Kiyoshi. "Machine Tending Robot for General Industry." Journal of the Japan Society for Precision Engineering 75, no. 1 (2009): 128–29. http://dx.doi.org/10.2493/jjspe.75.128.

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Li, Yu, Yan Jun Liu, and Ji Bin Liu. "Research on Hydraulic Servo Wobble Board Wave Machine." Advanced Materials Research 694-697 (May 2013): 560–64. http://dx.doi.org/10.4028/www.scientific.net/amr.694-697.560.

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Wave machine is one of the necessary laboratory equipments to optimize the structures and devices in the field of marine engineering. For the purpose of putting forward a new hydraulic servo wobble board wave machine system, we designed the mechanical structure, and carried out the mathematical model of the servo system. The MATLAB analysis result showed that the wave machine was reliable. This research therefore provided fundamental experience for the manufacture of the wave machines and the marine engineering laboratory equipments, and also worked as a reference for the establishment of the

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7

Wang, Meng Lan, and Wen Bin Liu. "An Improved Tabu Search Algorithm for a Type of Single Machine Sequencing Problem." Advanced Materials Research 756-759 (September 2013): 3997–4001. http://dx.doi.org/10.4028/www.scientific.net/amr.756-759.3997.

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Machine scheduling is a central task in production planning. In general it means the problem of scheduling job operations on a given number of available machines. In this paper we consider a machine scheduling problem with one machine, or the Single Machine Total Tardiness Problem. To solve this NP-hard problem, we develop an improved Tabu Search Algorithm, which is tested to have the ability to find good results by an example.

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Ellery, A. A. "Engineering a lunar photolithoautotroph to thrive on the moon – life or simulacrum?" International Journal of Astrobiology 17, no. 3 (2018): 258–80. http://dx.doi.org/10.1017/s1473550417000532.

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AbstractRecent work in developing self-replicating machines has approached the problem as an engineering problem, using engineering materials and methods to implement an engineering analogue of a hitherto uniquely biological function. The question is – can anything be learned that might be relevant to an astrobiological context in which the problem is to determine the general form of biology independent of the Earth. Compared with other non-terrestrial biology disciplines, engineered life is more demanding. Engineering a self-replicating machine tackles real environments unlike artificial life

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Аникеева, Олеся, and Olesya Anikeeva. "METHODOLOGICAL FUNDMENTALS IN PARAMETERS STANDARDIZATION OF MACHINE-TOOLS GEOMETRICAL ACCURACY." Bulletin of Bryansk state technical university 2016, no. 3 (2016): 202–9. http://dx.doi.org/10.12737/22098.

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Machinetools belong to the basic technological equipment in mechanical engineering ensuring the creation of other machines with high accuracy and productivity unattainable in coming decades on the basis of additive techniques. Machining accuracy on machinetools is an integral index of quality and despite the diversity of approaches to the identification of correla-tions, computations and estimates of machining accuracy, the value of a general error seems to be as a sum of partial errors. A significant part in the formation of a general error of machining cause machinetools them-selves. Besides

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10

Shu, Qi, and Bing Gang Wang. "Ergonomics Analysis Thinking of the Operation Domain Design of Workover Machines." Advanced Materials Research 228-229 (April 2011): 368–73. http://dx.doi.org/10.4028/www.scientific.net/amr.228-229.368.

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Nowadays there is little ergonomics consideration in the oil engineering machines and the improvement of comfort levels in the high intensity work of oil workers should be noted. Taking the case of the interface design of operation domain of the workover machines, this paper studied the design method of man-machine interface of oil workover machines basing on its development trend, from the view point of improving operation efficiency and operating reliability. In the paper two kinds of software, SolidWorks and CATIA, were used to build 3D virtual human body models and conduct the man-machine

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Hudzari, R. M., M. M. Noorman, M. N. N. Asimi, M. A. M. Atar, and M. Nashriyah. "Engineering Technological in Agriculture Research and Education." Advanced Materials Research 705 (June 2013): 493–98. http://dx.doi.org/10.4028/www.scientific.net/amr.705.493.

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Engineering technological especially on automation and mechanization in agricultural and plantation industry is still new and still under research and development. The application of computer, mechatronics and machines for agricultural production has been one of the outstanding developments in Malaysian agriculture. This paper describes on the recent research at Malaysian public university on the uses of computer and electronics towards machines for the agricultural operations. It has been generally agreed that industrial robotics do not provide sufficient information related to the bioproduct

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12

Wardani, Indira Kusuma, Fransiskus Tatas Dwi Atmaji, and Judi Alhilman. "An Autonomous Maintenance Design Based on Overall Resource Effectiveness (ORE) Analysis: A Case Study of Paving Molding Machine." Jurnal Ilmiah Teknik Industri 20, no. 2 (2021): 173–83. http://dx.doi.org/10.23917/jiti.v20i2.15627.

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The paving molding machine is one of the machines used to produce black paving at PT XYZ. Based on the historical data from the engineering maintenance department, this machine has the highest breakdown frequency which affected the low performance and productivity of the machine. To solve this problem, the effectiveness of the paving molding machine was analyzed using overall resource effectiveness (ORE) methods. ORE aims to analyze machine indicators, consisting of readiness, availability of the facility, changeover efficiency, availability of material, availability of manpower, performance e

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13

Matthews, Megan L. "Engineering photosynthesis, nature’s carbon capture machine." PLOS Biology 21, no. 7 (2023): e3002183. http://dx.doi.org/10.1371/journal.pbio.3002183.

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14

Isbell, Charles, Michael L. Littman, and Peter Norvig. "Software Engineering of Machine Learning Systems." Communications of the ACM 66, no. 2 (2023): 35–37. http://dx.doi.org/10.1145/3539783.

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15

Ji, Ren Jie, Yong Hong Liu, Chao Zheng, Fei Wang, and Yan Zhen Zhang. "Design of the Tool for End Electrical Discharge Milling and Mechanical Grinding Compound Machining of Engineering Ceramics." Advanced Materials Research 664 (February 2013): 806–10. http://dx.doi.org/10.4028/www.scientific.net/amr.664.806.

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Advanced engineering ceramics have been widely used in modern industry due to their excellent physical and chemical properties. However, they are difficult to machine due to their high hardness and brittleness. End electrical discharge milling and mechanical grinding compound machining method is employed to machine SiC ceramic in this paper. The process is able to effectively machine a large surface area on SiC ceramic. Furthermore, the tool for the compound machining of SiC ceramic is designed based on the goal of the higher material removal rate, the lower tool wear, and the better machined

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Tung, Tran Thanh, Trinh Minh Tan, and Tran Vu Minh. "A Laser Cutting Machine Prototype." Engineering, Technology & Applied Science Research 14, no. 1 (2024): 12944–49. http://dx.doi.org/10.48084/etasr.6733.

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Nowadays, laser cutting technology stands as one of the most cutting-edge technologies. Not only do laser cutting machines play a crucial role in the mechanical engineering industry, but also in numerous other industries including electronic circuit manufacturing, garment manufacturing, and particularly in the handicraft industry. This study presents a methodology for the design and production of laser cutting machines in Vietnam. A laser cutting machine has been successfully constructed, featuring a straightforward configuration, user-friendly operation, and low cost. The machine has the abil

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Kharlamov, Yu, D. Vishnevskiy, P. Petrov, and A. Orlov. "DEVELOPMENT OF DESIGN-ENGINEERING CLASSIFICATION OF MACHINE PARTS." Bulletin of Belgorod State Technological University named after. V. G. Shukhov 8, no. 1 (2023): 121–31. http://dx.doi.org/10.34031/2071-7318-2022-8-1-121-131.

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The assessment of the physical deterioration of buildings and structures is an expensive, lengthy and to some extent subjective process. The process of making a decision on the need for repair, reconstruction or demolition of a building is stretched over time, sometimes dragging on for years. At the same time, the condition of a building or structure may undergo significant changes, and therefore, the efficiency of information is crucial. The authors of the article propose a method for assessing the physical wear of buildings and structures based on the results of thermal imaging, which allows

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18

Yang, B., R. Nazari, D. Elmo, D. Stead, and E. Eberhardt. "Data preparation for machine learning in rock engineering." IOP Conference Series: Earth and Environmental Science 1124, no. 1 (2023): 012072. http://dx.doi.org/10.1088/1755-1315/1124/1/012072.

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Abstract Digitalization in rock engineering has resulted in significant technological advancements and the increasing use of machine learning techniques. As rock engineering transitions into becoming more data-driven, machine learning can help rock engineers improve the efficiency and utilization of large data sets in the design process. While machine learning is a powerful tool, the success of machine learning algorithms is intrinsically related to the quality and quantity of data available. It is commonly accepted that machine learning algorithms that are trained on poor quality data will re

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Zvyagin, L. S. "FEATURES OF MODELING IN VARIOUS TYPES OF NEURAL NETWORKS." SOFT MEASUREMENTS AND COMPUTING 3, no. 52 (2022): 43–54. http://dx.doi.org/10.36871/2618-9976.2022.03.005.

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Currently, the IT market uses the term "machine learning" as a direction of scientific engineering, closely related to the development of algorithms for training artificial neural networks based on data from various sensors or databases. The main principle of machine learning is selftraining of a neural network to patterns and making reasonable decisions by analyzing the data obtained. Consequently, machine learning is closely related to areas such as statistics, data mining, pattern recognition, and artificial intelligence. Neural networks are a popular platform for machine learning, but ther

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20

Acar, Mem¡Ş. "Gordon Richard Wray. 30 January 1928 — 17 August 2005." Biographical Memoirs of Fellows of the Royal Society 54 (January 2008): 461–82. http://dx.doi.org/10.1098/rsbm.2008.0014.

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Gordon Wray made major contributions to engineering research and development in the textile industry, particularly in the fields of machinery design and textile processing. He was widely regarded as one of the leading researchers in textile engineering. His major contributions include the air–jet texturing process, the Locstitch machine, an unconventional pile fabric machine, automatic garment linking machinery and an automatic rib transfer machine, to name just a few. He became a household name in textile circles not only in the UK but also across the world. He was a major driving force behin

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21

Zhao, Wen Hui, Zhen Yun Duan, and Zhong Wei Ren. "Study on Machining and Measurement for Borosilicate Glass Conical Ellipsoid." Advanced Materials Research 291-294 (July 2011): 2999–3002. http://dx.doi.org/10.4028/www.scientific.net/amr.291-294.2999.

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Surfaces formed by rotating quadratic curve are widely applied in engineering practice. After having studied machining methods and machines, the CNC grinding method based on macro program B for borosilicate glass elliptical cone surface machine with high precision is proposed. Within the allowable error, the coordinates are calculated according to the equation of axial section curve and the surface is formed with tools moving on axial section curve. Through setting parameters of the lathe, the new canned cycle can be defined to process all different kinds of the elliptical cone surface of same

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22

Wang, Zhong Ren, and Yan Hua Wu. "On-Machine Illumination Technique in Industry Machine Vision." Advanced Materials Research 201-203 (February 2011): 1582–85. http://dx.doi.org/10.4028/www.scientific.net/amr.201-203.1582.

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On-machine illumination is a key technology in industry machine vision. In this paper, two on-machine illuminant schemes were introduced. Firstly, for vision measurement of large-scale workpiece, an adjustable LED lighting source was established on the worktable of NC milling machine. High-quality image sequence was acquired to guarantee the effect of image mosaicing. Secondly, for texture classification of machined surface, a kind of dome LED illuminant was set up on the lathe. Experiment results show that red light is appropriate selection for on-machine illumination. Moreover, the size and

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23

Whitehall, B. L., S. C. Y. Lu, and R. E. Stepp. "CAQ: A machine learning tool for engineering." Artificial Intelligence in Engineering 5, no. 4 (1990): 189–98. http://dx.doi.org/10.1016/0954-1810(90)90020-5.

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24

Reich, Yoram, and S. V. Barai. "Evaluating machine learning models for engineering problems." Artificial Intelligence in Engineering 13, no. 3 (1999): 257–72. http://dx.doi.org/10.1016/s0954-1810(98)00021-1.

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25

Sakai, Shinobu. "Development of high-performance sports machine and elucidation of Two-seam ball gyroball." Impact 2021, no. 5 (2021): 75–77. http://dx.doi.org/10.21820/23987073.2021.5.75.

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Sports engineering uses mathematics and physics to develop solutions to sporting problems. It involves the design and manufacture of sports equipment and facilities that can help maximise athletic performance. In order to develop fit-for-purpose products, it is necessary to consider the motions and movements of athletes. Professor Shinobu Sakai, Production Systems Engineering and Sciences, Komatsu University, Japan, is combining AI and neural networks (NN) to develop multifunctional and high-performance sports equipment and training machines that can benefit athletes and people across the glob

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Al-Anqoudi, Younis, Abdullah Al-Hamdani, Mohamed Al-Badawi, and Rachid Hedjam. "Using Machine Learning in Business Process Re-Engineering." Big Data and Cognitive Computing 5, no. 4 (2021): 61. http://dx.doi.org/10.3390/bdcc5040061.

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A business process re-engineering value in improving the business process is undoubted. Nevertheless, it is incredibly complex, time-consuming and costly. This study aims to review available literature in the use of machine learning for business process re-engineering. The review investigates available literature in business process re-engineering frameworks, methodologies, tools, techniques, and machine-learning applications in automating business process re-engineering. The study covers 200+ research papers published between 2015 and 2020 in reputable scientific publication platforms: Scopus

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Nekrasov, R. Yu, I. V. Soloviev, and A. I. Starikov. "Simulation of Technological Systems for Diagnosis and Management Machining with CNC." Applied Mechanics and Materials 770 (June 2015): 617–21. http://dx.doi.org/10.4028/www.scientific.net/amm.770.617.

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The article deals with the problem of increasing the precision of products engineering on CNC machines. The authors proposed a solution to this problem by providing input operational adjustments to control the trajectory of the Executive bodies of the machine. The necessity of the creation of mathematical models of technological processes of diagnostics system "machine-fixture-tool-workpiece" was justified. Based on the study, the authors proposed a general scheme of diagnostics and surgical input, corrections and approximate mathematical models of individual processes of diagnostics.

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Song, Yuntao, Jiangang Li, Yuanxi Wan, et al. "Engineering design of the CFETR machine." Fusion Engineering and Design 183 (October 2022): 113247. http://dx.doi.org/10.1016/j.fusengdes.2022.113247.

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Cucchiaro, A., G. Brolatti, G. Calabrò, et al. "Engineering evolution of the FAST machine." Fusion Engineering and Design 86, no. 6-8 (2011): 703–7. http://dx.doi.org/10.1016/j.fusengdes.2010.11.029.

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Marusich, K., and V. Druzhinin. "DEVELOPMENT OF THE DESIGN OF A MOBILE BORING MACHINE FOR PROCESSING INTERNAL SURFACES." Bulletin of Belgorod State Technological University named after. V. G. Shukhov 7, no. 12 (2022): 124–34. http://dx.doi.org/10.34031/2071-7318-2022-7-12-124-134.

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It is often an unattainable task to ensure high accuracy of machining of hard-to-reach overall equipment when performing repair work outside a machine-building enterprise. Therefore, it is currently relevant to abandon these operations in favor of the use of specialized mobile machines, which will significantly reduce the cost and time of such repairs. Now the market is widely represented by mobile machines of foreign companies for processing large-sized products. Their cost starts from 3.5 million rubles, while technological equipment for expanding the capabilities of the machine is considere

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31

Dong, Yanfang, Zude Zhou, and Mingyao Liu. "A general thermal model of machine tool spindle." Advances in Mechanical Engineering 9, no. 1 (2017): 168781401668630. http://dx.doi.org/10.1177/1687814016686309.

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As the core component of machine tool, the thermal characteristics of the spindle have a significant influence on machine tool running status. Lack of an accurate model of the spindle system, particularly the model of load–deformation coefficient between the bearing rolling elements and rings, severely limits the thermal error analytic precision of the spindle. In this article, bearing internal loads, especially the function relationships between the principal curvature difference F( ρ) and auxiliary parameter nδ, semi-major axis a, and semi-minor axis b, have been determined; furthermore, hig

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Schweidtmann, Artur M., Erik Esche, Asja Fischer, et al. "Machine Learning in Chemical Engineering: A Perspective." Chemie Ingenieur Technik 93, no. 12 (2021): 2029–39. http://dx.doi.org/10.1002/cite.202100083.

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Salazar, Ricardo, Felix Neutatz, and Ziawasch Abedjan. "Automated feature engineering for algorithmic fairness." Proceedings of the VLDB Endowment 14, no. 9 (2021): 1694–702. http://dx.doi.org/10.14778/3461535.3463474.

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One of the fundamental problems of machine ethics is to avoid the perpetuation and amplification of discrimination through machine learning applications. In particular, it is desired to exclude the influence of attributes with sensitive information, such as gender or race, and other causally related attributes on the machine learning task. The state-of-the-art bias reduction algorithm Capuchin breaks the causality chain of such attributes by adding and removing tuples. However, this horizontal approach can be considered invasive because it changes the data distribution. A vertical approach wou

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Vasyl, Kashchyshyn, and Dzhuryk Khrystyna. "Theoretical bases of the engineering projects development at the machine-building enterprises." ECONOMICS: time realities 3, no. 37 (2018): 35–43. https://doi.org/10.5281/zenodo.1326389.

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The purpose of the article is to establish the theoretical bases for the development of the engineering projects at the machine building enterprises as a necessary condition for grounding the purchase of the engineering services by them.  The article offers the definition of the engineering project. It also offers to group the kinds of engineering projects. The article offers the general sequence of the project development and implementation process, which provides the possibility to withdraw from the further realization of the process on its different stages. The article defines the main

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Іванчук, Анатолій, Оксана Марущак та Ірина Красильникова. "СВІТОГЛЯДНІ МАШИНОЗНАВЧІ ЗНАННЯ МАЙБУТНІХ УЧИТЕЛІВ ТЕХНОЛОГІЙ". Modern Information Technologies and Innovation Methodologies of Education in Professional Training Methodology Theory Experience Problems, № 73 (30 грудня 2024): 87–99. https://doi.org/10.31652/2412-1142-2024-73-87-100.

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Mechanical engineering competence is a basic component of the professional training of future technology teachers. It is implemented, as a rule, in the specialized education of high school students and directs their professional self-determination to the field of modern production, helps schoolchildren navigate different types of working machines, using as a support the ability to determine their methods of action, and also allows future technology teachers to competently organize extracurricular work and extracurricular education of schoolchildren. Currently, the actual content of mechanical

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Ghahremani nahr, Javid, Hamed Nozari, and Mohammad Ebrahim Sadeghi. "Artificial intelligence and Machine Learning for Real-world problems (A survey)." International Journal of Innovation in Engineering 1, no. 3 (2021): 38–47. http://dx.doi.org/10.59615/ijie.1.3.38.

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Today, the use of machine learning and artificial intelligence due to many advantages such as simplicity, high speed, high accuracy in predicting various processes, no need for complex equipment and tools and the availability of many applications in science and fields. Has found various including statistics, mathematics, physics, chemistry, biochemistry, materials engineering, medical engineering, pharmacy and etc. Therefore, in the present era, the study and study of various methods and algorithms of machine learning and artificial intelligence is very important. As a subset of artificial int

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Kumar, Pagare Ajay, and Kumar Neeraj. "Development of Framework to Increase Flexibility in Shop floor and Maximize Production Rate using Substitute Machine." Jurnal Kejuruteraan 34, no. 4 (2022): 585–89. http://dx.doi.org/10.17576/jkukm-2022-34(4)-06.

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The research attempt to increase flexibility in shop floor and improve rate of production through maintenance engineering policies. The research is grounded on analysis of data collected from manufacturing based MSMEs and review of literature and data of spare parts published in referred journals. The study derives a further framework model comprising three strategies (Supply chain management, inventory management, and maintenance engineering) to improve rate of production. The aforesaid process is used to identify problems that occur during machine breakdown. The paper provides a research sub

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Doreth, Karl, Jan Henjes, and Stefan Kroening. "Approach to Forecast Energy Consumption of Machine Tools within the Design Phase." Advanced Materials Research 769 (September 2013): 278–84. http://dx.doi.org/10.4028/www.scientific.net/amr.769.278.

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For environmental and economic reasons, energy- and resource- efficient operations of cutting machines are increasingly important. The determination of properties and functions of machine tools, which affect future energy consumption in operation, essentially takes place within the design phase by combining required components. Therefore, it is necessary to develop approaches to find an efficient optimum between energy consumption, productivity, acquisition costs and operating costs within the design phase of a machine tool. However, the energy consumption of a machine tool depends on the appl

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Khlifi, Mohamed Arbi, and Habib Rehaoulia. "General modeling of saturated AC machines for industrial drives." COMPEL: The International Journal for Computation and Mathematics in Electrical and Electronic Engineering 35, no. 1 (2016): 44–63. http://dx.doi.org/10.1108/compel-12-2014-0346.

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Purpose – When magnetic saturation in ac machines is evolved, the theory of main flux saturation in d-q axes remains the best. Because of its simplicity, it is the most used in either motoring or generating mode for synchronous or asynchronous machines. Although, it is considered as a global way of introducing the iron saturation, compared to other methods, today, its fidelity has no contest in predicting complex ac machine operations. For this purpose, the aims of this paper consists of modeling these machines whatever the state-space variables values are taking into account the magnetic satu

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40

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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Patsch, David, and Rebecca Buller. "Improving Enzyme Fitness with Machine Learning." CHIMIA 77, no. 3 (2023): 116. http://dx.doi.org/10.2533/chimia.2023.116.

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The combinatorial composition of proteins has triggered the application of machine learning in enzyme engineering. By predicting how protein sequence encodes function, researchers aim to leverage machine learning models to select a reduced number of optimized sequences for laboratory measurement with the aim to lower costs and shorten timelines of enzyme engineering campaigns. In this review, we will highlight successful algorithm-aided protein engineering examples, including work carried out within the NCCR Catalysis. In this context, we will discuss the underlying computational methods devel

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AKINCI, T. Çetin. "A vıew to cognItıve engıneerıng." International Conference on Technics, Technologies and Education, ICTTE 2019 (2019): 29–34. http://dx.doi.org/10.15547/ictte.2019.01.105.

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Cognitive engineering is the application of artificial intelligence, cognitive psychology and many different disciplines to human-machine systems with various software hardware elements. Cognitive engineering is supported by engineering disciplines and health, medical, psychology, sociology and even philosophical sciences. In this sense, it can be accepted as an interdisciplinary new science. Cognitive engineering is the transformation of human thought and psychology, even philosophy, into systems by modelling with software programs. Thus, machines or systems can be provided with more humane t

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Detzortzis, Antonio, Nicolae Băran, and Stelian Carnaru. "“Reversible” Machine with Applications in the Field of Fluids." Advanced Materials Research 694-697 (May 2013): 588–93. http://dx.doi.org/10.4028/www.scientific.net/amr.694-697.588.

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The paper presents a new type of machine that can be used as well as working machine or as force machine. The machine consists of two purpose-machined rotors that rotate with the same speed inside a casing; relations used for the computation of machine flow rate and power are presented, as well as results of experimental researches performed for an experimental model tested on a setup.

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Hayashi, Akio, Hiroto Tanaka, Masato Ueki, Hidetaka Yamaoka, Nobuaki Fujiki, and Yoshitaka Morimoto. "Forward Kinematics Model for Evaluation of Machining Performance of Robot Type Machine Tool." International Journal of Automation Technology 15, no. 2 (2021): 215–23. http://dx.doi.org/10.20965/ijat.2021.p0215.

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Robot-type machine tools are characterized by the ability to change the tool posture and machine itself with a wider motion range than conventional machine tools. The motion of the robot machine tool is realized by simultaneous multi-axis control of link mechanisms. However, when the robot machine tool performs a general milling process, some problems that affect the machining accuracy occur. Moreover, it is difficult to identify the motion errors of each axis, which influence machining accuracy. Thus, it is difficult to adjust the servo gain and alignment error. In addition, the machining per

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Zaiton, Haron, Mardhiah Z. Abidin, Ming Han Lim, et al. "Noise Exposure among Machine Operators on Construction Sites in South Johor, Malaysia." Advanced Materials Research 838-841 (November 2013): 2507–12. http://dx.doi.org/10.4028/www.scientific.net/amr.838-841.2507.

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Machines operators expose to excessive noise in the workplace that may lead to hearing damage. This study investigates construction machine operators noise exposure levels for eight hours or time weighting averages (TWAs), relationship TWA with machine noise emission level, the practices of using hearing protection devices (HPDs) and working in a closed machine cab. Heavy and non-heavy machine operators at five construction sites involved with excavation and piling activities were selected and measured by using dosimeters. 68% of operators were exposed to TWA of 85 dBA and 18% of the operators

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Ariefijanto, Dedy, Nadhifah Rysca Novianty, and Asep Indra Komara. "PERANCANGAN PLASTIC WASTE SHREDDER MACHINE PORTABLE DI KAMPUS POLMAN BANDUNG." Machine : Jurnal Teknik Mesin 9, no. 1 (2023): 37–43. http://dx.doi.org/10.33019/jm.v9i1.4029.

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Plastic Waste Shredder Machine is a machine that is used to reduce the size of waste into small pieces for recycling process. This machine is a development from previous machines. The design methodology in this study is VDI 2222. Determination of component dimensions is based on analysis of critical components with the help of Computer Aided Engineering software. This machine works by inserting plastic bottle waste to the hopper, the size will be reduced in shredding area with two-blade system that moves oppositely with a fixed knife on each side, and the result is the plastic chips with a max

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Liu, Xiaofei, Weidong Li, and Yaoyu Zhu. "Single Machine Vector Scheduling with General Penalties." Mathematics 9, no. 16 (2021): 1965. http://dx.doi.org/10.3390/math9161965.

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In this paper, we study the single machine vector scheduling problem (SMVS) with general penalties, in which each job is characterized by a d-dimensional vector and can be accepted and processed on the machine or rejected. The objective is to minimize the sum of the maximum load over all dimensions of the total vector of all accepted jobs and the rejection penalty of the rejected jobs, which is determined by a set function. We perform the following work in this paper. First, we prove that the lower bound for SMVS with general penalties is α(n), where α(n) is any positive polynomial function of

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Perlovsky, Leonid, and Gary Kuvich. "Machine Learning and Cognitive Algorithms for Engineering Applications." International Journal of Cognitive Informatics and Natural Intelligence 7, no. 4 (2013): 64–82. http://dx.doi.org/10.4018/ijcini.2013100104.

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Mind is based on intelligent cognitive processes, which are not limited by language and logic only. The thought is a set of informational processes in the brain, and such processes have the same rationale as any other systematic informational processes. Their specifics are determined by the ways of how brain stores, structures, and process this information. Systematic approach allows representing them in a diagrammatic form that can be formalized. Semiotic approach allows for the universal representation of such diagrams. In that approach, logic is a way of synthesis of such structures, which

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Huang, Chien-nan, and Saeid Motavalli. "Reverse engineering of planar parts using machine vision." Computers & Industrial Engineering 26, no. 2 (1994): 369–79. http://dx.doi.org/10.1016/0360-8352(94)90070-1.

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Röhlig, Benny. "Theory of Small Machine Tools: A Framework Approach to Machine Development." Advanced Materials Research 769 (September 2013): 293–300. http://dx.doi.org/10.4028/www.scientific.net/amr.769.293.

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Enabled by their size, small machine tools manufacturing small workpieces allow for a leap of improvements and therefore overcome current limitations in micro manufacturing. Nevertheless, to achieve those benefits the classically engineering mindset and machine tool design have to be overcome. Those ideas, the reasoning behind them and the corresponding conditions are laid down in the so called theory of small machine tools. The generic theory includes a framework approach to help in the process of machine development resulting in a new kind of miniaturized and function integrated machine tool

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