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Journal articles on the topic 'Computer synthesis'

Author: Grafiati

Published: 4 June 2021

Last updated: 28 July 2025

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1

Wang, Yi, Han Ding, and Ge Ging Xu. "Computer Aided Organic Synthesis Based on Graph Grammars." Applied Mechanics and Materials 411-414 (September 2013): 227–30. http://dx.doi.org/10.4028/www.scientific.net/amm.411-414.227.

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Traditionally, computer aided organic synthesis is based on the one-dimensional string model that employs string grammars to tackle the structure of molecular; the processing of organic reactions, and the establishment of the knowledge bases and file systems. Because of the limitations of one-dimensional method for tackling two-dimensional issues like organic syntheses, this paper presents a method for computer aided organic synthesis based on two-dimensional graph grammars. The method could apply the basic principle of the graph grammars to effectively and efficiently solve organic synthesis

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2

Zefirov, Nikolai S., and E. V. Gordeeva. "Computer-assisted Synthesis." Russian Chemical Reviews 56, no. 10 (1987): 1002–14. http://dx.doi.org/10.1070/rc1987v056n10abeh003318.

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3

Todd, Matthew H. "Computer-aided organic synthesis." Chemical Society Reviews 34, no. 3 (2005): 247. http://dx.doi.org/10.1039/b104620a.

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4

Yakimov, A. N. "Computer synthesis of antennas." Measurement Techniques 39, no. 6 (1996): 613–16. http://dx.doi.org/10.1007/bf02369824.

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5

Loy, D. Gareth. "The Systems Concepts Digital Synthesizer: An Architectural Retrospective." Computer Music Journal 37, no. 3 (2013): 49–67. http://dx.doi.org/10.1162/comj_a_00193.

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In the mid 1970s, specialized hardware for synthesizing digital audio helped computer music research move beyond its early reliance on software synthesis running on slow mainframe computers. This hardware allowed for synthesis of complex musical scores in real time and for dynamic, interactive control of synthesis. Peter Samson developed one such device, the Systems Concepts Digital Synthesizer, for Stanford University's Center for Computer Research in Music and Acoustics. The “Samson Box” addressed the classical problems of digital audio synthesis with an elegance that still rewards study. Th

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6

Makarov, L., and A. Pozdnyakov. "Computer Synthesis of Neurotransmitter Images." Proceedings of Telecommunication Universities 8, no. 2 (2022): 65–75. http://dx.doi.org/10.31854/1813-324x-2022-8-2-65-75.

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He semantic sign system is considered, represented by two different sets of elements, through which creative objects are created, correlated with the natural activity of man and Nature, reproducing numerous species of living organisms. Using the concepts and definitions of work processes in neural networks, the principles of creating neural transmitter images are considered. Formalizing the processes of creation of creative objects, a topological computational model of computer synthesis of neurotransmitter images with a variety of forms is presented.

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7

Ehrenreich, S. L. "Computer Abbreviations: Evidence and Synthesis." Human Factors: The Journal of the Human Factors and Ergonomics Society 27, no. 2 (1985): 143–55. http://dx.doi.org/10.1177/001872088502700202.

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8

Askadskii, A. A., and T. A. Matseevich. "Computer Synthesis of Network Polymers." Doklady Physical Chemistry 494, no. 2 (2020): 151–58. http://dx.doi.org/10.1134/s0012501620100012.

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9

Bossche, A. "Computer aided fault tree synthesis." Microelectronics Reliability 25, no. 4 (1985): 773–88. http://dx.doi.org/10.1016/0026-2714(85)90411-1.

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10

Lu, M. D., and R. L. Motard. "Computer-aided total flowsheet synthesis." Computers & Chemical Engineering 9, no. 5 (1985): 431–45. http://dx.doi.org/10.1016/0098-1354(85)80021-1.

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11

Zhang, Libin, and Andreas A. Linninger. "Towards computer-aided separation synthesis." AIChE Journal 52, no. 4 (2006): 1392–409. http://dx.doi.org/10.1002/aic.10689.

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12

GONZALEZ, Sebastian, Mark RAU, Carolina ESPINOZA, Giacomo LONGO, Fabio ANTONACCI, and Augusto SARTI. "Sound synthesis of geometric and material changes in archtop guitars: towards the timbral design of musical instruments." INTER-NOISE and NOISE-CON Congress and Conference Proceedings 270, no. 5 (2024): 6294–303. http://dx.doi.org/10.3397/in_2024_3711.

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Through computer simulations and synthesis, our research studies the impact of various geometric and material modifications on archtop guitar sound. We use an accurate and realistic physical guitar model from which the bridge admittance and radiated sound pressure are computed. Subsequently, we synthesise the sound of this instrument via state-of-the-art methods for two different chords. The generated sound is then analysed in terms of traditional timbral descriptors. With this framework, it is possible to hear the design changes that the maker can perform in a guitar, paving the way for its t

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13

Adams, Teresa, Chris Hendrickson, and Paul Christiano. "Computer-aided rehabilitation design." Artificial Intelligence for Engineering Design, Analysis and Manufacturing 5, no. 2 (1991): 65–75. http://dx.doi.org/10.1017/s0890060400002572.

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The conventional engineering design process consisting of three phases, synthesis, analysis and evaluation can be extended for solving rehabilitation problems by including a diagnosis phase during which abnormalities and malfunctions are identified and characterized. After diagnosis, the design objectives are clearly specified and the conventional engineering design process can begin. Different problem solving strategies, information representation, and processing are useful for the different phases of rehabilitation design. This paper describes the RETAIN knowledge-based rehabilitation design

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14

West, Alan, Charles Dodge, and Thomas Jerse. "Computer Music, Synthesis, Composition, and Performance." Computer Music Journal 10, no. 4 (1986): 92. http://dx.doi.org/10.2307/3680102.

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15

Dobrian, Christopher, Charles Dodge, and Thomas A. Jerse. "Computer Music: Synthesis, Composition, and Performance." Notes 55, no. 1 (1998): 136. http://dx.doi.org/10.2307/900385.

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16

K., R., Charles Dodge, and Thomas A. Jerse. "Computer Music: Synthesis, Composition, and Performance." Notes 43, no. 1 (1986): 53. http://dx.doi.org/10.2307/897846.

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17

Shishkovsky, I. V., M. V. Kuznetsov, and Yu G. Morozov. "Computer-controlled synthesis of orthopedic implants." International Journal of Self-Propagating High-Temperature Synthesis 18, no. 2 (2009): 137–38. http://dx.doi.org/10.3103/s1061386209020125.

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18

Knott, George. "Waveform synthesis on a personal computer." Journal of the Acoustical Society of America 78, S1 (1985): S85. http://dx.doi.org/10.1121/1.2023034.

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19

Fields, Chris. "Human‐computer interaction: A critical synthesis." Social Epistemology 1, no. 1 (1987): 5–25. http://dx.doi.org/10.1080/02691728708578410.

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20

Downes, Stephen. "Human‐computer interaction: A critical synthesis." Social Epistemology 1, no. 1 (1987): 27–36. http://dx.doi.org/10.1080/02691728708578411.

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21

Corey, E., A. Long, and S. Rubenstein. "Computer-assisted analysis in organic synthesis." Science 228, no. 4698 (1985): 408–18. http://dx.doi.org/10.1126/science.3838594.

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22

Pellerin, Cheryl. "FUSING IMAGE SYNTHESIS AND COMPUTER VISION." Sensor Review 12, no. 2 (1992): 20–21. http://dx.doi.org/10.1108/eb007874.

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23

Dumitrescu, Lucia F. S., та Bo Sundman. "Computer simulation of β′-sialon synthesis". Journal of the European Ceramic Society 15, № 1 (1995): 89–94. http://dx.doi.org/10.1016/0955-2219(95)91304-7.

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24

Kaufman, A., and S. Azaria. "Texture synthesis techniques for computer graphics." Computers & Graphics 9, no. 2 (1985): 139–45. http://dx.doi.org/10.1016/0097-8493(85)90021-4.

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25

You, S. J., and K. F. Ehmann. "Computer synthesis of three-dimensional surfaces." Wear 145, no. 1 (1991): 29–42. http://dx.doi.org/10.1016/0043-1648(91)90237-o.

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26

Ravitz, Orr. "Data-driven computer aided synthesis design." Drug Discovery Today: Technologies 10, no. 3 (2013): e443-e449. http://dx.doi.org/10.1016/j.ddtec.2013.01.005.

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27

Mavrovouniotis, Michael L., George Stephanopoulos, and Gregory Stephanopoulos. "Computer-aided synthesis of biochemical pathways." Biotechnology and Bioengineering 36, no. 11 (1990): 1119–32. http://dx.doi.org/10.1002/bit.260361107.

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28

Goodman, M., R. Rone, N. Manesis, M. Hassan, and N. Mammi. "Peptidomimetics: Synthesis, spectroscopy, and computer simulations." Biopolymers 26, S0 (1987): S25—S32. http://dx.doi.org/10.1002/bip.360260007.

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29

Shi, Hai He, and Hai Peng Shi. "Deductive Synthesis of Algorithms in Human-Computer Interaction." Applied Mechanics and Materials 610 (August 2014): 312–15. http://dx.doi.org/10.4028/www.scientific.net/amm.610.312.

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Deductive synthesis is a method of software development where an algorithm is derived from a formal problem specification which guarantees the reliability of final product. The paper introduces a program synthesis method PAR most of whose synthesis steps are mechanical and some of them can be done interactively by human-computer interaction, and formally synthesizes a dependable algorithm for a selection problem supported by PAR method and PAR platform. Program synthesis based on PAR covers a number of classical algorithm design tactics, develops algorithmic programs together with their proof

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30

Bortakovsky, A. S., and I. V. Uryupin. "COMPUTER TECHNOLOGY OF SYNTHESIS OPTIMAL LINEAR SWITCHED SYSTEMS." Vestnik komp'iuternykh i informatsionnykh tekhnologii, no. 185 (November 2019): 13–20. http://dx.doi.org/10.14489/vkit.2019.11.pp.013-020.

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The linear-quadratic problem of synthesis optimal control of switched systems is considered. Continuous change of state of the system is described by linear differential equations, and instantaneous discrete changes of state (switching) – linear recurrent equations. The moments of switching, and their number is not prespecified. The quality of control is characterized by a quadratic functional, which takes into account the cost of each switch. The considered problem generalizes the classical linear-quadratic problems of optimal control of continuous, discrete and continuous-discrete systems, t

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31

Liu, Hai Ying. "Control System of Image Synthesis Based on Cluster Mathematical Model of K-Means Intelligent Computer." Applied Mechanics and Materials 543-547 (March 2014): 2431–34. http://dx.doi.org/10.4028/www.scientific.net/amm.543-547.2431.

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On the basis of computer automatic control theory of artificial intelligence, we use Kmeans clustering algorithm to establish mathematical model of automatic art synthesis for computer painting, and realize the computer artificial intelligence painting synthesis by using MATLAB software. In the first part we introduce the intelligent control system of computer drawing in detail, and do decomposition and combination on the frame number by using the computer intelligent drawing cell. In the second part we establish the intelligent clustering model of Kmeans algorithm, and introduce the model pai

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32

Ivanauskas, Feliksas, Aivaras Kareiva, and Bogdanas Lapcun. "Computer simulation of synthesis of yttrium aluminum garnet." Lietuvos matematikos rinkinys 43 (December 22, 2003): 630–34. http://dx.doi.org/10.15388/lmr.2003.32541.

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A mathematical model of synthesis of yttrium aluminum garnet is presented and used for computer simulation of the synthesis. The model is based on the reaction-diffusion equations. The model takes into concideration structure of the initial reaction’s components. The digital simulation was carried out using the finite difference technique. Relations between rates of reaction and diffusion was investigated.

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33

Hayashi, Nobuyoshi, Tohru Sugawara, and Shinji Kato. "Computer-assisted automated synthesis. III. Synthesis of substituted N-(carboxyalkyl) amino-acid tert-butyl ester derivatives." Journal of Automatic Chemistry 13, no. 5 (1991): 187–97. http://dx.doi.org/10.1155/s1463924691000330.

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A versatile automated synthesis apparatus, equipped with a chemical artificial intelligence, was developed to prepare and isolate a wide variety of compounds. The apparatus was to the synthesis of substituted N-(carboxyalkyl)amino-acids. The apparatus [1,2] is composed of units for performing various tasks,for example reagent supply, reaction, purification and separation, each linked to a control system. All synthetic processes, including washing and drying of the apparatus after each synthetic run, were automatically performed from the mixing of the reactants to the isolation of the products

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34

Krawczyk, Mariusz, Cezary Jerzy Szczepanski, and Albert Zajdel. "Aircraft model for the automatic taxi directional control design." Aircraft Engineering and Aerospace Technology 91, no. 2 (2019): 289–95. http://dx.doi.org/10.1108/aeat-01-2018-0025.

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PurposeThis paper aims to present a concept of an automatic directional control system of remotely piloted aerial system (RPAS) during the taxiing phase. In particular, it shows the initial stages of the control laws synthesis-mathematical model and simulation of taxiing aircraft. Several reasons have emerged in recent years that make the automation of taxiing an important design challenge including decreased safety, performance and pilot workload.Design/methodology/approachThe adapted methodology follows the model-based design approach in which the control system and the aircraft are mathemat

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35

Krawczyk, Mariusz, Cezary Jerzy Szczepanski, and Albert Zajdel. "Aircraft model for automatic taxi directional control system design." Aircraft Engineering and Aerospace Technology 91, no. 3 (2019): 477–83. http://dx.doi.org/10.1108/aeat-06-2018-0161.

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Purpose This paper aims to present a concept of an automatic directional control system of remotely piloted aerial system (RPAS) during the taxiing phase. In particular, it shows the initial stages of the control laws synthesis – mathematical model and simulation of taxiing aircraft. Several reasons have emerged in recent years that make the automation of taxiing an important design challenge including decreased safety, performance and pilot workload. Design/methodology/approach The adapted methodology follows the model-based design approach in which the control system and the aircraft are mat

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36

Lin, Yingfu, Rui Zhang, Di Wang, and Tim Cernak. "Computer-aided key step generation in alkaloid total synthesis." Science 379, no. 6631 (2023): 453–57. http://dx.doi.org/10.1126/science.ade8459.

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Efficient chemical synthesis is critical to satisfying future demands for medicines, materials, and agrochemicals. Retrosynthetic analysis of modestly complex molecules has been automated over the course of decades, but the combinatorial explosion of route possibilities has challenged computer hardware and software until only recently. Here, we explore a computational strategy that merges computer-aided synthesis planning with molecular graph editing to minimize the number of synthetic steps required to produce alkaloids. Our study culminated in an enantioselective three-step synthesis of (–)-

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37

Деев, Г. Е., та С. В. Ермаков. "В-Computers: Genesis, Evolution, and Applications". Успехи кибернетики / Russian Journal of Cybernetics, № 4(8) (30 листопада 2021): 90–106. http://dx.doi.org/10.51790/2712-9942-2021-2-4-11.

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показан генезис В-компьютера как результата решения проблемы обозначения для чисел. Первым В-компьютером, появляющимся при решении этой проблемы, является автомат сдвига. Далее в результате применения метода последовательного синтеза появляются все остальные В-компьютеры. Показано, что В-компьютеры обладают неограниченным потенциалом развития. Принципиальных ограничений такого развития не существует. Это приводит к перманентному обогащению вычислительных возможностей В-компьютера. На основании этого факта делается вывод о том, что в полной мере решение таких задач, как создание суперкомпьютера

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38

Fijalkow, Nathanaël, Guillaume Lagarde, Théo Matricon, Kevin Ellis, Pierre Ohlmann, and Akarsh Nayan Potta. "Scaling Neural Program Synthesis with Distribution-Based Search." Proceedings of the AAAI Conference on Artificial Intelligence 36, no. 6 (2022): 6623–30. http://dx.doi.org/10.1609/aaai.v36i6.20616.

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We consider the problem of automatically constructing computer programs from input-output examples. We investigate how to augment probabilistic and neural program synthesis methods with new search algorithms, proposing a framework called distribution-based search. Within this framework, we introduce two new search algorithms: Heap Search, an enumerative method, and SQRT Sampling, a probabilistic method. We prove certain optimality guarantees for both methods, show how they integrate with probabilistic and neural techniques, and demonstrate how they can operate at scale across parallel compute

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39

Yonemitsu, Osamu. "Computer-Aided Conformational Design in Macrolide Synthesis." Journal of Synthetic Organic Chemistry, Japan 52, no. 11 (1994): 946–55. http://dx.doi.org/10.5059/yukigoseikyokaishi.52.946.

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40

Flegontov. "Structural synthesis: methods, algorithms, models, computer support." SPIIRAS Proceedings 1, no. 1 (2014): 316. http://dx.doi.org/10.15622/sp.1.22.

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41

Lent, Keith. "A real‐time computer music synthesis system." Journal of the Acoustical Society of America 90, no. 4 (1991): 2336. http://dx.doi.org/10.1121/1.402204.

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42

Kahrs, Mark, and Federico Avanzini. "Computer synthesis of bird songs and calls." Journal of the Acoustical Society of America 111, no. 5 (2002): 2392. http://dx.doi.org/10.1121/1.4778131.

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43

Bużantowicz, Witold. "Computer-aided missile autopilot analysis and synthesis." Mechanik, no. 7 (July 2016): 654–56. http://dx.doi.org/10.17814/mechanik.2016.7.111.

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44

Surkan, Alvin J. "Spoken-word direction of computer program synthesis." ACM SIGAPL APL Quote Quad 30, no. 4 (2000): 219–27. http://dx.doi.org/10.1145/570440.570504.

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45

Liberman, M. "Computer speech synthesis: its status and prospects." Proceedings of the National Academy of Sciences 92, no. 22 (1995): 9928–31. http://dx.doi.org/10.1073/pnas.92.22.9928.

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46

Bertrand, M. P., H. Monti, and R. Barone. "Computer-assisted organic synthesis: An undergraduate experiment." Journal of Chemical Education 63, no. 7 (1986): 624. http://dx.doi.org/10.1021/ed063p624.1.

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47

Gasteiger, J., W. D. Ihlenfeldt, P. Röse, and R. Wanke. "Computer-assisted reaction prediction and synthesis design." Analytica Chimica Acta 235 (1990): 65–75. http://dx.doi.org/10.1016/s0003-2670(00)82062-0.

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48

Coley, Connor W., William H. Green, and Klavs F. Jensen. "Machine Learning in Computer-Aided Synthesis Planning." Accounts of Chemical Research 51, no. 5 (2018): 1281–89. http://dx.doi.org/10.1021/acs.accounts.8b00087.

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49

Herrera, L. F., S. Junpirom, D. D. Do, and C. Tangsathitkulchai. "Computer synthesis of char and its characterization." Carbon 47, no. 3 (2009): 839–49. http://dx.doi.org/10.1016/j.carbon.2008.11.042.

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50

KLEMES, J., and R. PTACNIK. "Computer-aided synthesis of heat exchange network." Journal of Heat Recovery Systems 5, no. 5 (1985): 425–35. http://dx.doi.org/10.1016/0198-7593(85)90174-2.

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