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Journal articles on the topic 'CAA (Computer system)'

Author: Grafiati

Published: 4 June 2021

Last updated: 10 February 2022

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1

Zheng, Xiujuan, Wentao Wei, Qiu Huang, Shaoli Song, Jieqing Wan, and Gang Huang. "A Computer-Aided Analysis Method of SPECT Brain Images for Quantitative Treatment Monitoring: Performance Evaluations and Clinical Applications." BioMed Research International 2017 (2017): 1–11. http://dx.doi.org/10.1155/2017/1962181.

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The objective and quantitative analysis of longitudinal single photon emission computed tomography (SPECT) images are significant for the treatment monitoring of brain disorders. Therefore, a computer aided analysis (CAA) method is introduced to extract a change-rate map (CRM) as a parametric image for quantifying the changes of regional cerebral blood flow (rCBF) in longitudinal SPECT brain images. The performances of the CAA-CRM approach in treatment monitoring are evaluated by the computer simulations and clinical applications. The results of computer simulations show that the derived CRMs have high similarities with their ground truths when the lesion size is larger than system spatial resolution and the change rate is higher than 20%. In clinical applications, the CAA-CRM approach is used to assess the treatment of 50 patients with brain ischemia. The results demonstrate that CAA-CRM approach has a 93.4% accuracy of recovered region’s localization. Moreover, the quantitative indexes of recovered regions derived from CRM are all significantly different among the groups and highly correlated with the experienced clinical diagnosis. In conclusion, the proposed CAA-CRM approach provides a convenient solution to generate a parametric image and derive the quantitative indexes from the longitudinal SPECT brain images for treatment monitoring.

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Sheikh, Abdullah Md, Yasuko Wada, Shatera Tabassum, Satoshi Inagaki, Shingo Mitaki, Shozo Yano, and Atsushi Nagai. "Aggregation of Cystatin C Changes Its Inhibitory Functions on Protease Activities and Amyloid β Fibril Formation." International Journal of Molecular Sciences 22, no. 18 (September 7, 2021): 9682. http://dx.doi.org/10.3390/ijms22189682.

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Cystatin C (CST3) is an endogenous cysteine protease inhibitor, which is implicated in cerebral amyloid angiopathy (CAA). In CAA, CST3 is found to be aggregated. The purpose of this study is to investigate whether this aggregation could alter the activity of the protein relevant to the molecular pathology of CAA. A system of CST3 protein aggregation was established, and the aggregated protein was characterized. The results showed that CST3 aggregated both at 80 °C without agitation, and at 37 °C with agitation in a time-dependent manner. However, the levels of aggregation were high and appeared earlier at 80 °C. Dot-blot immunoassay for oligomers revealed that CST3 could make oligomeric aggregates at the 37 °C condition. Electron microscopy showed that CST3 could make short fibrillary aggregates at 37 °C. Cathepsin B activity assay demonstrated that aggregated CST3 inhibited the enzyme activity less efficiently at pH 5.5. At 7.4 pH, it lost the inhibitory properties almost completely. In addition, aggregated CST3 did not inhibit Aβ1-40 fibril formation, rather, it slightly increased it. CST3 immunocytochemistry showed that the protein was positive both in monomeric and aggregated CST3-treated neuronal culture. However, His6 immunocytochemistry revealed that the internalization of exogenous recombinant CST3 by an astrocytoma cell culture was higher when the protein was aggregated compared to its monomeric form. Finally, MTT cell viability assay showed that the aggregated form of CST3 was more toxic than the monomeric form. Thus, our results suggest that aggregation may result in a loss-of-function phenotype of CST3, which is toxic and responsible for cellular degeneration.

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Łuszczewska-Sierakowska, Iwona, Agata Wawrzyniak, Marcin R. Tatara, Anna Charuta, Jacek Baj, and Ryszard Maciejewski. "Morphometric characteristics of neurons in the hippocampal CA1-CA4 fields of the American." Medycyna Weterynaryjna 72, no. 11 (2016): 704–8. http://dx.doi.org/10.21521/mw.5584.

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The aim of the study was a quantitative and cytoarchitectonic examination of neurons of the ventral hippocampal CA1-CA4 fields in somatically mature female American mink (Neovison vison) (N = 6). Brains were removed and examined under a light microscope. The samples were stained by Nissl’s standard method, and histological samples were used for morphometric analysis. All ventral hippocampal CA1-CA4 fields were analyzed cytoarchitectonically and morphometrically with a calibrated image analysis system that consisted of a computer equipped with the Cell^D software Soft Imaging System (SIS) with an integrated digital camera Colorview IIIu (Soft Imaging System). Morphometric investigations of the pyramidal layer showed that the cells of the hippocampal CA1-CA4 fields in adult female American mink differ in size, shape, cell area, nucleus area and the nucleus-to-cell ratio (in %). The cells of the CA2 field were densely arranged, pyramidal and contained a small amount of cytoplasm; their size was differentiated. They were the largest in size (15.06 μm) and diameter (14.5 μm). The cells of the CA1 field had the smallest size (8.5 μm) and diameter (8.6 μm). In the CA3 field, small, densely packed neurons dominated, whereas neurons in the CA4 field formed a thin strand of loosely arranged cells. Given the increasing interest in hippocampal areas, it is necessary to continue studies of their morphology and morphometry in healthy animals and in those suffering from neurodegenerative diseases.

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Keable, Abby, Ronan O’Neill, Matthew MacGregor Sharp, Maureen Gatherer, Ho Ming Yuen, David Annandale Johnston, Roy Oliver Weller, and Roxana Octavia Carare. "ApoE4 Astrocytes Secrete Basement Membranes Rich in Fibronectin and Poor in Laminin Compared to ApoE3 Astrocytes." International Journal of Molecular Sciences 21, no. 12 (June 19, 2020): 4371. http://dx.doi.org/10.3390/ijms21124371.

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The accumulation of amyloid-β (Aβ) in the walls of capillaries and arteries as cerebral amyloid angiopathy (CAA) is part of the small vessel disease spectrum, related to a failure of elimination of Aβ from the brain. Aβ is eliminated along basement membranes in walls of cerebral capillaries and arteries (Intramural Peri-Arterial Drainage—IPAD), a pathway that fails with age and ApolipoproteinEε4 (ApoE4) genotype. IPAD is along basement membranes formed by capillary endothelial cells and surrounding astrocytes. Here, we examine (1) the composition of basement membranes synthesised by ApoE4 astrocytes; (2) structural differences between ApoE4 and ApoE3 astrocytes, and (3) how flow of Aβ affects Apo3/4 astrocytes. Using cultured astrocytes expressing ApoE3 or ApoE4, immunofluorescence, confocal, correlative light and electron microscopy (CLEM), and a millifluidic flow system, we show that ApoE4 astrocytes synthesise more fibronectin, possess smaller processes, and become rarefied when Aβ flows over them, as compared to ApoE3 astrocytes. Our results suggest that basement membranes synthesised by ApoE4 astrocytes favour the aggregation of Aβ, its reduced clearance via IPAD, thus promoting cerebral amyloid angiopathy.

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5

OKUDA, Yoko, Keiichi SHIRASE, Kouhei FUKADA, Keiichi NAKAMOTO, and Eiji ARAI. "306 Development of Computer-aided Flexible Process Planning System." Proceedings of The Manufacturing & Machine Tool Conference 2006.6 (2006): 43–44. http://dx.doi.org/10.1299/jsmemmt.2006.6.43.

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6

De Man, H., J. Rabaey, J. Vanhoof, G. Goossens, P. Six, and L. Claesen. "CATHEDRAL-II—a computer-aided synthesis system for digital signal processing VLSI systems." Computer-Aided Engineering Journal 5, no. 2 (1988): 55. http://dx.doi.org/10.1049/cae.1988.0015.

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7

Alameri, Ban M. "ELECTROMAGNETIC INTERFERENCE (EMI) PRODUCED BY HIGH VOLTAGE TRANSMISSION LINES." EUREKA: Physics and Engineering 5 (September 30, 2020): 43–50. http://dx.doi.org/10.21303/2461-4262.2020.001398.

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Electromagnetic interference in high voltage transmission lines has been an interest topic due to its effect on human health, plants, electrical and telecommunication equipment. Extremely high voltages (EHV) in transmission lines are reasons of electrostatic effects, while short circuit currents and line loading currents are responsible for electromagnetic effects. The aim of this research is to analyze electromagnetic fields in high voltage transmission lines in theoretical study and calculating its level in overhead T. L and therefore estimated the EMI produced, by employing a mathematical model of 230 KV tower double circuit configurations of high voltage transmission lines. The calculation is based on computer aided analysis (CAA) by using fields and corona effects software (FACE). It's found that the overhead power lines of general frequency (50 Hz) generates a highly intense magnetic field, the electromagnetic fields depends on the distance from sources and the type of line configuration. They decrease as the distance increase from the tower and conductors and increase with a high current. The strength of an electric field is proportional to the voltage of the line and the magnetic field strength is proportional to the current in the high voltage transmission lines. Distribution line with a high current load may produce a magnetic field that is as high as those produced by some high voltage transmission lines. Some techniques of reduction of the effects of electromagnetic interference have suggested such as rearrangement conductors of transmission line, and distance from phase conductor and grounding system. The study recommended to keep safety distance operation in high voltage transmission lines with the necessity for engineer to take into account the effect of electromagnetic interference in the design stage of high voltage transmission power system, and to avoid any addition cost may be occur due to neglected effects of electromagnetic interference that produces by high voltage transmission lines

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8

Cory, B. J. "Computer aids in power system engineering." Computer-Aided Engineering Journal 5, no. 6 (1988): 217. http://dx.doi.org/10.1049/cae.1988.0050.

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9

Ekici, Sami. "Computer-aided power system fault analysis." Computer Applications in Engineering Education 19, no. 1 (February 9, 2011): 66–70. http://dx.doi.org/10.1002/cae.20290.

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10

Gagno, Giulia, Federico Ferro, Alessandra Lucia Fluca, Milijana Janjusevic, Maddalena Rossi, Gianfranco Sinagra, Antonio Paolo Beltrami, Rita Moretti, and Aneta Aleksova. "From Brain to Heart: Possible Role of Amyloid-β in Ischemic Heart Disease and Ischemia-Reperfusion Injury." International Journal of Molecular Sciences 21, no. 24 (December 17, 2020): 9655. http://dx.doi.org/10.3390/ijms21249655.

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Ischemic heart disease (IHD) is among the leading causes of death in developed countries. Its pathological origin is traced back to coronary atherosclerosis, a lipid-driven immuno-inflammatory disease of the arteries that leads to multifocal plaque development. The primary clinical manifestation of IHD is acute myocardial infarction (AMI),) whose prognosis is ameliorated with optimal timing of revascularization. Paradoxically, myocardium re-perfusion can be detrimental because of ischemia-reperfusion injury (IRI), an oxidative-driven process that damages other organs. Amyloid-β (Aβ) plays a physiological role in the central nervous system (CNS). Alterations in its synthesis, concentration and clearance have been connected to several pathologies, such as Alzheimer’s disease (AD) and cerebral amyloid angiopathy (CAA). Aβ has been suggested to play a role in the pathogenesis of IHD and cerebral IRI. The purpose of this review is to summarize what is known about the pathological role of Aβ in the CNS; starting from this evidence, we will illustrate the role played by Aβ in the development of coronary atherosclerosis and its possible implications in the pathophysiology of IHD and myocardial IRI. Better elucidation of Aβ’s contribution to the molecular pathways underlying IHD and IRI could be of great help in developing new therapeutic strategies.

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11

Ooi, T. H., K. T. Lau, C. H. Lim, V. F. Ong, and C. M. Yeo. "Computer-integrated manufacturing information system for VCR testing." Computer-Aided Engineering Journal 8, no. 4 (1991): 173. http://dx.doi.org/10.1049/cae.1991.0030.

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12

ENDO, Tokiko. "Computer Aided Diagnostic System Expected by Clinicians." Japanese Journal of Radiological Technology 56, no. 3 (2000): 321–23. http://dx.doi.org/10.6009/jjrt.kj00001356824.

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13

Sydenham, P. H. "Computer-aided engineering of measuring instrument systems." Computer-Aided Engineering Journal 4, no. 3 (1987): 117. http://dx.doi.org/10.1049/cae.1987.0028.

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14

Fleming, Raymond. "A computer system for small-batch sheet metal manufacture." Computer-Aided Engineering Journal 3, no. 2 (1986): 60. http://dx.doi.org/10.1049/cae.1986.0017.

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15

Allderdice, Hugh B., and Robert I. King. "The design of a computer integrated electronics manufacturing system." Computer-Aided Engineering Journal 2, no. 2 (1985): 57. http://dx.doi.org/10.1049/cae.1985.0012.

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16

Fonseca Ferreira, Nuno M., and Elisabete D. C. Freitas. "Computer applications for education on industrial robotic systems." Computer Applications in Engineering Education 26, no. 5 (June 28, 2018): 1186–94. http://dx.doi.org/10.1002/cae.21982.

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17

Cecchini, Roberto, and Giuseppe Pelosi. "Applications of computer algebra systems in electromagnetics education." Computer Applications in Engineering Education 1, no. 5 (1993): 433–43. http://dx.doi.org/10.1002/cae.6180010506.

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18

Erarslan, Kaan. "Geology and Mining System (GMS) for computer-aided mine valuation." Computer Applications in Engineering Education 15, no. 1 (2007): 78–87. http://dx.doi.org/10.1002/cae.20105.

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19

HARA, TAKESHI. "Current Status of Computer-aided Diagnosis System on Mammography(CAD Series)." Japanese Journal of Radiological Technology 59, no. 6 (2003): 719–22. http://dx.doi.org/10.6009/jjrt.kj00003174152.

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20

Świetlik, Białowąs, Moryś, and Kusiak. "Computer Model of Synapse Loss During an Alzheimer’s Disease-like Pathology in Hippocampal Subregions DG, CA3 and CA1—the Way to Chaos and Information Transfer." Entropy 21, no. 4 (April 17, 2019): 408. http://dx.doi.org/10.3390/e21040408.

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The aim of the study was to compare the computer model of synaptic breakdown in an Alzheimer’s disease-like pathology in the dentate gyrus (DG), CA3 and CA1 regions of the hippocampus with a control model using neuronal parameters and methods describing the complexity of the system, such as the correlative dimension, Shannon entropy and positive maximal Lyapunov exponent. The model of synaptic breakdown (from 13% to 50%) in the hippocampus modeling the dynamics of an Alzheimer’s disease-like pathology was simulated. Modeling consisted in turning off one after the other EC2 connections and connections from the dentate gyrus on the CA3 pyramidal neurons. The pathological model of synaptic disintegration was compared to a control. The larger synaptic breakdown was associated with a statistically significant decrease in the number of spikes (R = −0.79, P < 0.001), spikes per burst (R = −0.76, P < 0.001) and burst duration (R = −0.83, P < 0.001) and an increase in the inter-burst interval (R = 0.85, P < 0.001) in DG-CA3-CA1. The positive maximal Lyapunov exponent in the control model was negative, but in the pathological model had a positive value of DG-CA3-CA1. A statistically significant decrease of Shannon entropy with the direction of information flow DG->CA3->CA1 (R = −0.79, P < 0.001) in the pathological model and a statistically significant increase with greater synaptic breakdown (R = 0.24, P < 0.05) of the CA3-CA1 region was obtained. The reduction of entropy transfer for DG->CA3 at the level of synaptic breakdown of 35% was 35%, compared with the control. Entropy transfer for CA3->CA1 at the level of synaptic breakdown of 35% increased to 95% relative to the control. The synaptic breakdown model in an Alzheimer’s disease-like pathology in DG-CA3-CA1 exhibits chaotic features as opposed to the control. Synaptic breakdown in which an increase of Shannon entropy is observed indicates an irreversible process of Alzheimer’s disease. The increase in synapse loss resulted in decreased information flow and entropy transfer in DG->CA3, and at the same time a strong increase in CA3->CA1.

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21

Münsterjohann, Sven, Jens Grabinger, Stefan Becker, and Manfred Kaltenbacher. "CAA of an Air-Cooling System for Electronic Devices." Advances in Acoustics and Vibration 2016 (October 20, 2016): 1–17. http://dx.doi.org/10.1155/2016/4785389.

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This paper presents the workflow and the results of fluid dynamics and aeroacoustic simulations for an air-cooling system as used in electronic devices. The setup represents a generic electronic device with several electronic assemblies with forced convection cooling by two axial fans. The aeroacoustic performance is computed using a hybrid method. In a first step, two unsteady CFD simulations using the Unsteady Reynolds-Averaged Navier-Stokes simulation with Shear Stress Transport (URANS-SST) turbulence model and the Scale Adaptive Simulation with Shear Stress Transport (SAS-SST) models were performed. Based on the unsteady flow results, the acoustic source terms were calculated using Lighthill’s acoustic analogy. Propagation of the flow-induced sound was computed using the Finite Element Method. Finally, the results of the acoustic simulation are compared with measurements and show good agreement.

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22

Bramer, Brian. "Selection of computer systems to meet end-user requirements." Computer-Aided Engineering Journal 6, no. 2 (1989): 52. http://dx.doi.org/10.1049/cae.1989.0013.

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23

Altas, I. H., and H. Aydar. "A real-time computer-controlled simulator: For control systems." Computer Applications in Engineering Education 16, no. 2 (2008): 115–26. http://dx.doi.org/10.1002/cae.20130.

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24

Muñoz-Abella, B., C. Álvarez-Caldas, and L. Rubio. "Computer-aided tool for teaching mechanical clutch systems design." Computer Applications in Engineering Education 19, no. 3 (March 31, 2009): 493–500. http://dx.doi.org/10.1002/cae.20329.

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25

Pande, S. S., and N. H. Palsule. "GCAPPS—a computer-assisted generative process planning system for turned components." Computer-Aided Engineering Journal 5, no. 4 (1988): 163. http://dx.doi.org/10.1049/cae.1988.0036.

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26

Pande, S. S., and M. G. Walvekar. "PC-CAPP—a computer-assisted process planning system for prismatic components." Computer-Aided Engineering Journal 6, no. 4 (1989): 133. http://dx.doi.org/10.1049/cae.1989.0031.

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27

Yalcin, Nursel, Yalcin Altun, and Utku Kose. "Educational material development model for teaching computer network and system management." Computer Applications in Engineering Education 23, no. 4 (March 3, 2015): 621–29. http://dx.doi.org/10.1002/cae.21636.

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28

Place, Jerry, and Sue Fitzgerald. "Using a computer algebra system (Maple) to teach elementary queueing theory." Computer Applications in Engineering Education 3, no. 1 (1995): 65–73. http://dx.doi.org/10.1002/cae.6180030109.

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29

Kamis, Zeliha, Elif Erzan Topcu, and Ibrahim Yuksel. "Computer-aided automatic control education with a real-time development system." Computer Applications in Engineering Education 13, no. 3 (2005): 181–91. http://dx.doi.org/10.1002/cae.20045.

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30

Rashid, Muhammad. "An undergraduate course on model‐based system engineering for embedded systems." Computer Applications in Engineering Education 28, no. 3 (March 29, 2020): 645–57. http://dx.doi.org/10.1002/cae.22233.

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31

SHIOYA, Ryuji, Hiroki ISHII, Masao Ogino, and Hiroshi KANAYAMA. "Development of a Computer Network Utilization Type CAE System." Proceedings of Conference of Kyushu Branch 2003.56 (2003): 285–86. http://dx.doi.org/10.1299/jsmekyushu.2003.56.285.

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32

Martins, L. Sousa, Carlos Fortunato, and V. Fernão Pires. "A computer-based testing system to evaluate protective relays as a tool in power system protection education." Computer Applications in Engineering Education 20, no. 1 (August 17, 2009): 19–28. http://dx.doi.org/10.1002/cae.20369.

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33

Kypuros, Javier A., and Thomas J. Connolly. "Student-configurable, Web-accessible virtual systems for system dynamics and controls courses." Computer Applications in Engineering Education 16, no. 2 (2008): 92–104. http://dx.doi.org/10.1002/cae.20125.

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34

Mukai, Eiji, Ryu-ichiro Ohyama, and Kiyoji Kaneko. "Insulation Design CAE System Operated on Personal Computer." IEEJ Transactions on Power and Energy 112, no. 4 (1992): 357–58. http://dx.doi.org/10.1541/ieejpes1990.112.4_357.

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35

Chen, Bo, Yu-Cheng Chou, and Harry H. Cheng. "Open source Ch Control System Toolkit and web-based control system design for teaching automatic control of linear time-invariant systems." Computer Applications in Engineering Education 21, no. 1 (July 1, 2010): 95–112. http://dx.doi.org/10.1002/cae.20454.

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36

Wu, Chih, and Donald C. Sherrill. "Intelligent computer aided design, analysis, optimization, and improvement of thermodynamic systems." Computer Applications in Engineering Education 9, no. 4 (2001): 220–27. http://dx.doi.org/10.1002/cae.10005.

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37

Marshall, Peter. "Computer-aided process planning and estimating as part of an integrated CADCAM system." Computer-Aided Engineering Journal 2, no. 5 (1985): 167. http://dx.doi.org/10.1049/cae.1985.0036.

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38

Khairurrijal, Muhammad M. Munir, Asep Suhendi, Hendrayana Thaha, and Maman Budiman. "An AT89S52 microcontroller-based single board computer for teaching an instrumentation system course." Computer Applications in Engineering Education 15, no. 2 (2007): 166–73. http://dx.doi.org/10.1002/cae.20107.

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39

Mihelič, J., and T. Dobravec. "SicSim: A simulator of the educational SIC/XE computer for a system-software course." Computer Applications in Engineering Education 23, no. 1 (October 28, 2013): 137–46. http://dx.doi.org/10.1002/cae.21585.

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40

Banquet, J. P., Ph Gaussier, M. Quoy, A. Revel, and Y. Burnod. "A Hierarchy of Associations in Hippocampo-Cortical Systems: Cognitive Maps and Navigation Strategies." Neural Computation 17, no. 6 (June 1, 2005): 1339–84. http://dx.doi.org/10.1162/0899766053630369.

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In this letter we describe a hippocampo-cortical model of spatial processing and navigation based on a cascade of increasingly complex associative processes that are also relevant for other hippocampal functions such as episodic memory. Associative learning of different types and the related pattern encoding-recognition take place at three successive levels: (1) an object location level, which computes the landmarks from merged multimodal sensory inputs in the parahippocampal cortices; (2) a subject location level, which computes place fields by combination of local views and movement-related information in the entorhinal cortex; and (3) a spatiotemporal level, which computes place transitions from contiguous place fields in the CA3-CA1 region, which form building blocks for learning temporospatial sequences. At the cell population level, superficial entorhinal place cells encode spatial, context-independent maps as landscapes of activity; populations of transition cells in the CA3-CA1 region encode context-dependent maps as sequences of transitions, which form graphs in prefrontal-parietal cortices. The model was tested on a robot moving in a real environment; these tests produced results that could help to interpret biological data. Two different goal-oriented navigation strategies were displayed depend-ing on the type of map used by the system. Thanks to its multilevel, multimodal integration and behavioral imple-mentation, the model suggests functional interpretations for largely un-accounted structural differences between hippocampo-cortical systems. Further, spatiotemporal information, a common denominator shared by several brain structures, could serve as a cognitive processing frame and a functional link, for example, during spatial navigation and episodic memory, as suggested by the applications of the model to other domains, temporal sequence learning and imitation in particular.

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41

Han, Seung-Hoon. "ARCH: DMUVR – A Working Prototype of a Distributed Collaborative Design System." International Journal of Architectural Computing 3, no. 2 (June 2005): 203–25. http://dx.doi.org/10.1260/1478077054214451.

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This paper outlines a working prototype which suggests a distributed Computer-Aided Architectural Design (CAAD) system to promote a new model of collaborative design. Recently, there has been a growing interest in distributed CAAD integration due to the needs of direct collaboration among project participants. The potential for the integration of information is expected to have a tremendous impact on architecture and the construction industry. The aim of this research is to provide a new paradigm for a CAAD system by combining research on integrated CAAD applications with recent collaboration technologies. The proposed system has been designed and a prototype implemented to produce enough guidelines to foster interest in the development of future CAAD systems on the Internet. To this end, two different scopes of implementation are evaluated: first, global architecture and the functionality of a distributed CAAD system; and, second, the association of an architectural application to the system.

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42

Cuéllar, M. P., and M. C. Pegalajar. "Design and implementation of intelligent systems with LEGO Mindstorms for undergraduate computer engineers." Computer Applications in Engineering Education 22, no. 1 (March 23, 2011): 153–66. http://dx.doi.org/10.1002/cae.20541.

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43

Cebro, Irwin Syahri, Wawan Hermawan, and Desrial Desrial. "Computer Aided Design (CAD) System for Cage Wheel of Two Wheel Tractor." Jurnal Keteknikan Pertanian 20, no. 2 (August 1, 2006): 139–48. http://dx.doi.org/10.19028/jtep.20.2.139-148.

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SAITO, Osami, Takeyuki TAKAHASHI, and Ken-ichi ABE. "Computer Aided Control Design by Using Symbolic Manipulation System REDUCE." Transactions of the Society of Instrument and Control Engineers 21, no. 11 (1985): 1239–46. http://dx.doi.org/10.9746/sicetr1965.21.1239.

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45

Brian, Bramer. "Using a common host system to develop software products for a variety of target computer environments." Computer-Aided Engineering Journal 7, no. 5 (1990): 129. http://dx.doi.org/10.1049/cae.1990.0031.

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46

Furat, Murat, and İlyas Eker. "Computer-aided experimental modeling of a real system using graphical analysis of a step response data." Computer Applications in Engineering Education 22, no. 4 (September 20, 2010): 571–82. http://dx.doi.org/10.1002/cae.20482.

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47

Prasad, K., and N. C. Sahoo. "A simplified approach for computer-aided education of network reconfiguration in radial distribution systems." Computer Applications in Engineering Education 15, no. 3 (2007): 260–76. http://dx.doi.org/10.1002/cae.20103.

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48

ISHII, Hiroki, Masao OGINO, Ryuji SHIOYA, and Hiroshi KANAYAMA. "Development of a Computer Network Utilization Type CAE System Using Java3D." Proceedings of The Computational Mechanics Conference 2003.16 (2003): 53–54. http://dx.doi.org/10.1299/jsmecmd.2003.16.53.

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49

Suchanovský, M., J. Molnár, and O. Slavko. "DESIGN AND IMPLEMENTATION OF AUTOMATED SYSTEM FOR MEASURING CAR BATTERY CAPACITY." Electromechanical and energy saving systems 4, no. 52 (December 23, 2020): 51–59. http://dx.doi.org/10.30929/2072-2052.2020.4.52.51-59.

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Purpose. The purpose of this article is to design hardware for an automated system for measuring the parameters of the car battery and the subsequent approximation of its capacity and other parameters necessary to determine its condition. Originality. The paper deals with the research on the car batteries and measuring instruments to detect their parameters in order to determine a suitable software solution for automated measuring system to measure the car battery capacity. Methodology. The paper proposes one of the possibilities for development an automated system for measuring car battery capacity basing on microcontrollers system using prototyping, designing, simulation and testing techniques. Authors described the whole development process starting from computer design of the proposed device, chose the elements for hardware unit, prototyping using development boards and tools, developing program algorithms and implementing related applied software with the final results verification. Result. In this work authors proposed hardware solution of an automated system for measuring the capacity of a car battery. The whole design concept consisted of the selection of the main hardware components, which were then implemented into a complex functional unit. Following it was designed a software solution. This proposal was initiated by a program for measuring the parameters of the battery, then the calculation of the internal resistance from the measured parameters and the approximation of capacity on the basis of the detected life-span was added to this programme. A Web page was then created. Practical value. Proposed experimental sample could be practically used for automatic measurement of car battery capacity and also could be served as an experimental sample of remote measuring device. References 14, figures 14.

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Овчаренко and O. Ovcharenko. "Mutual Support and Usage of CAD Systems." Geometry & Graphics 4, no. 2 (June 18, 2016): 64–69. http://dx.doi.org/10.12737/19834.

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In speaking of modern higher education, we mean an educational system that allows young specialists to fit into the labour market. Such specialists need to be equipped with the necessary knowledge and skills not only to perform work on the project, but also to attack the problem creatively. The task of higher school is to provide the necessary set of knowledge and skills that will allow young specialists to work successfully and to be on the march. The language of communication of engineers is drawings. Computer drawings allow reducing the working time considerably in the development, production, remediation, transfer, and retention. Therefore, the ability to use drawing program for working with images is necessary. Despite all the powerful design tools and visualization, a key moment in computer design is the documentation of the product and its design in accordance with accepted standards that is considered to be an integral part of the design process. After the successful development of a 2D environment, the expert can confidently move on to 3D modeling that facilitates the receipt of drawings and models at times and gives you the opportunity to inspect the settings of the virtual model and, if necessary, to improve them significantly. Usage of different CAD-systems for communication engineers- partners is a reality. Therefore it is very useful for a specialist to be able to use different programs. Modern graphic programs (AutoCAD, SolidEdge) have many similar opportunities, but they also have some differences. Knowledge of several drawing programs is necessary and reduces the amount of time for the skills development for usage of each CAD-system is the problem of the future engineer. The article compares two different programs and the possibility of using the both CAD-systems for working with drawings.

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