Representation of Information in an Arithmetic Logic Converter of an Optical Processor

Abstract

The article considers the issues of solving the certain problem of special computing complexes and relates to the representation of information in Arithmetic-Logical Converters, built on the principles of color-light signal processing. Analysis of the construction of computing systems used in practice, incl. in the MIC, shows that, as a rule, the main types of processed information are: numbers (base - numbers), texts (base - letters), sounds (base - codecs), color and video images (base - light colors). And hereby, two main characteristic features of most of the listed types of information can be distinguished: they do not exist in nature in their pure form; their processing is ultimately carried out, as a rule, in digital form (we consider only digital signal processing systems). To improve the accuracy of processing all types of information, we abandoned the RGB color description system, since this system is characterized by the ambiguity of the RGB coordinate system, is device-dependent, gives an unclear idea of color based on the ratio of these signals, since exposure to one of these signals leads to a color change, which is difficult to predict and process correctly. Therefore, it is proposed to switch to displaying information in a colorimetric coordinate system with fixed wavelengths of the main color signals. This will simplify and speed up the processing of color images representing alphanumeric, audio and video information in an encoded form and ensure the stability of the optical nodes of an optical or hybrid processor, including when exposed to external destabilizing factors.


 


Author Biographies

Nikolay Fedorovich Sycevich, The Military Academy of Strategic Rocket Troops after Peter the Great

Senior Lecturer of the Department of Computing Complexes of Automated Information Processing and Control Systems for Special Purposes, Adviser to the RAE

Dmitry Vladimirovich Krakhmalev, Financial University under the Government of the Russian Federation

Associate Professor of the Department of Business Informatics, Cand. Sci. (Tech.), Associate Professor

Mikhail Sergeevich Chipchagov, Financial University under the Government of the Russian Federation

Associate Professor of the Department of Data Analysis and Machine Learning, Cand. Sci. (Tech.)

Andrey Sergeevich Verbitskiy, Moscow Higher Combined Arms Military Command School

Associate Professor of the Department of General Professional Disciplines, Cand. Sci. (Tech.)

References

1. Melnikov A.K. Research of possible modifications of reconfigurable computer systems. Izvestiya SFedU. Engineering sciences. 2014;(12):83-89. (In Russ., abstract in Eng.) EDN: TIOOIB
2. Melnikov A.K. Research of methods of reconfigurable computer systems improvement for implementation of computationally laborious tasks. Vestnik komp'iuternykh i informatsionnykh tekhnologii = Herald of computer and information technologies. 2016;(2):52-60. (In Russ., abstract in Eng.) https://doi.org/10.14489/vkit.2016.02.pp.052-059
3. Levin I.I. The generation of high performance reconfigurable computer systems. Tomsk State University Journal of Control and Computer Science. 2008;(2):77-93. (In Russ., abstract in Eng.) EDN: KGCWZT
4. Malashenko Y.E., Nazarova I.A. Control model of the phased upgrade of a heterogeneous computing system. Journal of Computer and Systems Sciences International. 2016;55(6):924-937. https://doi.org/10.1134/S1064230716050117
5. Leokhin Yu.L., Dvoretskiy I.N. Energy-efficient heterogeneous multiprocessor hardware and software complex. Journal of Instrument Engineering. 2017;60(5):440-446. (In Russ., abstract in Eng.) https://doi.org/10.17586/0021-3454-2017-60-5-440-446
6. Ksenofontov A.S., Sytsevich N.F., Kuliyev R.S., Sytsevich S.N. Increase of vitality of the majority-reserved systems of management. News of the Kabardino-Balkarian Scientific Center of the RAS. 2015;(6-2):100-104. (In Russ., abstract in Eng.) EDN: VBSIBF
7. Sytsevich N.F., Kuliev R.S., Krakhmalev D.V., Zhaboev Zh.Zh. Majorization of USART signals in majority-reserved systems. Modern high technologies. 2018;(12-2):366-370. (In Russ., abstract in Eng.) EDN: YVMDJB
8. Sytsevich N.F., Kuliyev R.S., Moskalenko L.A., Molov M.Z. Synchronization of work of majority elements of the reserved complete sets of systems managements. Modern high technologies. 2016;(8-2):261-264. (In Russ., abstract in Eng.) EDN: WHKSXT
9. Sytsevich N.F., Kuliyev R.S., Krakhmalev D.V., Zhaboev Zh.Zh. Mazhority signals with an acceptable level mismatch in majority-redundant system. Modern high technologies. 2017;(5):73-77. (In Russ., abstract in Eng.) EDN: YRYDQZ
10. Krakhmalev D.V., Sytsevich N.F., Titov V.A. The increase of survivability in supercomputing structures based on redundant interfaces. Bulletin of the Institute of World Civilizations. 2018;9(2):121-127. (In Russ., abstract in Eng.) EDN: UTPDQG
11. Datta A.K., Munshi S. Signed-negabinary-arithmetic-based optical computing by use of a single liquid-crystal-display panel. Applied Optics. 2002;41(8):1556-1564. https://doi.org/10.1364/AO.41.001556
12. Wong W.M., Blow K.J. Design and analysis of an all-optical processor for modular arithmetic. Optics Communications. 2006;265(2):425-433. https://doi.org/10.1016/j.optcom.2006.03.044
13. Nakarmi B., Rakib-Uddin M., Won Y.H. Realization of All-Optical Digital Comparator Using Single Mode Fabry Pérot Laser Diodes. Journal of Lightwave Technology. 2011;29(19):3015-3021. https://doi.org/10.1109/JLT.2011.2165833
14. Kuzhakov P.V. Issledovanie tehnologii sozdanija modul'no-narashhivaemyh mnogoprocessornyh vychislitel'nyh sistem s programmiruemoj arhitekturoj na osnove rekonfiguriruemoj jelementnoj bazy [Study of the technology for creating modularly scalable multiprocessor computing systems with a programmable architecture based on a reconfigurable element base]. Scientific and Technical Journal of Information Technologies, Mechanics and Optics. 2006;(25):13-20. (In Russ.) EDN: JURWJH
15. Kalyaev I.A., Dordopulo A.I., Levin I.I., Gudkov V.A., Gulenok A.A. Programming technology for hybrid computer systems. Computational Technologies. 2016;21(3):33-44. (In Russ., abstract in Eng.) EDN: WHTGZP
16. Shalagin S.V. Realization of computer engineering devices on multiprocessor systems with programmable architecture. Vestnik of Mari State Technical University. Series Radio Engineering and Infocommunication Systems. 2011;(1):38-46. (In Russ., abstract in Eng.) EDN: NULMCL
17. Zelenskiy A.A., Khar'kov M.A., Ivanovskiy S.P., Abdullin T.Kh. High-performance numerical control system based on programmable logic devices. Bulletin of the Voronezh State Technical University. 2018;14(5):8-12. (In Russ., abstract in Eng.) EDN: YLHJIT
18. Levin I.I., Ponomarev I.M., Shakhov R.V., Shmatok A.V. Mnogoprocessornye rabochie stancii s programmiruemoj arhitekturoj jeffektivnyj instrument reshenija slozhnyh nauchno-tehnicheskih zadach [Multiprocessor workstations with programmable architecture an effective tool for solving complex scientific and technical problems]. Izvestia TRTU. 2002;2(25):180-183. EDN: KRSFDV
19. Shibaev S.S., Novikov V.M., Rozdobud'ko V.V. he theory of acoustooptic spectrum analyzer with aperture synthesis. Physics of Wave Processes and Radio Systems. 2010;13(1):55-60. (In Russ., abstract in Eng.) EDN: MNHDYZ
20. Chernomorets A.A., Bolgova E.V., Zalivin A.N., Oleynik I.I. A optical signals combined processing in the object detection task. Belgorod State University Scientific Bulletin. Economics. Information technologies. 2019;46(4):764-773. (In Russ., abstract in Eng.) https://doi.org/10.18413/2411-3808-2019-46-4-764-773
21. Zhilyakov E.G., Konstantinov I.S., Chernomorets A.A. Decomposition of images into additive components. International Journal of Imaging and Robotics. 2016;16(1):1-8. Available at: http://www.ceser.in/ceserp/index.php/iji/article/view/4020 (accessed 09.01.2023).
22. Bernardin K., Stiefelhagen R. Evaluating Multiple Object Tracking Performance: The CLEAR MOT Metrics. EURASIP Journal on Image and Video Processing. 2008. Article number: 246309. https://doi.org/10.1155/2008/246309
23. Dufour J.-Y. Intelligent Video Surveillance Systems. In: Dufour J.-Y., ed. John Wiley & Sons, Inc.; 2012. 352 p. https://doi.org/10.1002/9781118577851
24. Gonza´lez-Marcos A.P., Martı´n-Pereda J.A. Method to analyze the influence of hysteresis in optical arithmetic units. Optical Engineering. 2001;40(11):2371-2385. https://doi.org/10.1117/1.1413747
25. Li S., Wang Z., Wang S., An D. Theoretical Basis and Implementation Mechanism of the Programming Platform for Ternary Optical Computer. IEEE Access. 2022;10:5585-5594. https://doi.org/10.1109/ACCESS.2022.3142329
Published
2023-03-30
How to Cite
SYCEVICH, Nikolay Fedorovich et al. Representation of Information in an Arithmetic Logic Converter of an Optical Processor. Modern Information Technologies and IT-Education, [S.l.], v. 19, n. 1, p. 172-179, mar. 2023. ISSN 2411-1473. Available at: <http://sitito.cs.msu.ru/index.php/SITITO/article/view/887>. Date accessed: 01 nov. 2025. doi: https://doi.org/10.25559/SITITO.019.202301.172-179.
Section
Research and development in the field of new IT and their applications