Publicado

2026-08-02

Intelligent translator system (9 languages) based on adaptive algorithms for portable prototypes based on microcontrollers to use in Andes mountains agriculture tasks

Sistema traductor inteligente (9 idiomas) basado en algoritmos adaptativos para prototipos portátiles basados en microcontroladores para su uso en tareas agrícolas de las montañas de los Andes

DOI:

https://doi.org/10.15446/dyna.v93n242.117919

Palabras clave:

adaptive algorithms, machine translation, mechatronic prototypes, speech processing, 3D surface reconstruction (en)
algoritmos adaptativos, traducción automática, prototipos mecatrónicos, procesamiento de voz, reconstrucción de superficies 3D (es)

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This research analyzes optimal algorithmic strategies to design a standalone language translator capable of processing Spanish, Quechua, Italian, Portuguese, French, German, Russian, Mandarin, and English. The proposal focuses on correlating a specific vocabulary distributed across verbs, pronouns, nouns, and conjunctions. Every word is represented through a geometric analysis to identify morphological roots and establish cross-linguistic equivalences. Polynomial models and adaptive modulating functions are implemented within a discrete domain to minimize translation errors word-by-word. The resulting system is executed by a portable microcontroller architecture integrated with a local human-machine interface, eliminating internet dependence. This practical device aims to support communication between researchers and native agricultural communities in the Peruvian Andes, facilitating the exchange and preservation of traditional farming knowledge under a strict framework of cultural respect. (p. 1)

Esta investigación analiza estrategias algorítmicas óptimas para diseñar un traductor de idiomas autónomo capaz de procesar español, quechua, italiano, portugués, francés, alemán, ruso, mandarín e inglés. La propuesta se centra en correlacionar un vocabulario específico distribuido en verbos, pronombres, sustantivos y conjunciones. Cada palabra se representa mediante un análisis geométrico para identificar raíces morfológicas y establecer equivalencias lingüísticas. Se implementan modelos polinomiales y funciones de modulación adaptativas en un dominio discreto para minimizar los errores de traducción palabra por palabra. El sistema resultante es ejecutado por un microcontrolador portátil integrado con una interfaz humana local, eliminando la dependencia de internet. Este dispositivo práctico busca apoyar la comunicación entre investigadores y comunidades agrícolas nativas de los Andes peruanos, facilitando el intercambio y la preservación del conocimiento agrícola tradicional bajo un marco de respeto cultural. (p. 2)

Referencias

[1] Dugan, N., and Erkoç, Ş., Genetic algorithms in application to the geometry optimization of nanoparticles. Algorithms, 2(1), pp. 410-428, 2009. DOI: https://doi.org/10.3390/a2010410

[2] Alotaibi, A., Deep generative adversarial networks for image-to-image translation. A Review. Symmetry, 12(10), art. 1705, 2020. DOI: https://doi.org/10.3390/sym12101705

[3] Luo, Z., The reduced-order extrapolating method about the crank-nicolson finite element solution coefficient vectors for parabolic type equation. Mathematics, 8(8), art. 1261, 2020. DOI: https://doi.org/10.3390/math8081261

[4] Zhang, H., Liu, C., Ma, J., and Sun, H., ship infrared automatic target recognition based on bipartite graph recommendation: a model-matching method. Mathematics, 12(1), art. 168, 2024. DOI: https://doi.org/10.3390/math12010168

[5] Barbierato, E., and Gatti, A., The challenges of machine learning. A Critical Review. Electronics, 13(2), art. 416, 2024. DOI: https://doi.org/10.3390/electronics13020416

[6] Pau, D.P., and Aymone, F.M., Forward learning of large language models by consumer devices. Electronics, 13(2), art. 402, 2024. DOI: https://doi.org/10.3390/electronics13020402

[7] Jia, H., Huang, J., Zhao, K., Mao, Y., Zhou, H., Ren, L., Jia, Y., and Xu, W., Demonstration-based and attention-enhanced grid-tagging network for mention recognition. Electronics, 13(2), art. 261, 2024. DOI: https://doi.org/10.3390/electronics13020261

[8] Panagoulias, D.P., Virvou, M., and Tsihrintzis, G.A., Augmenting large language models with rules for enhanced domain-specific interactions.The Case of Medical Diagnosis. Electronics, 13(2), art. 320, 2024. DOI: https://doi.org/10.3390/electronics13020320

[9] Kaushik, A., Jacob, B., and Velavan, P., An exploratory study on a reinforcement learning prototype for multimodal image retrieval using a conversational search interface. Knowledge, 4(1), pp. 116-138, 2024. DOI: https://doi.org/10.3390/knowledge4010007

[10] Sharma, S., Diwakar, M., Singh, P., Singh, V., Kadry, S., and Kim, J., Machine translation systems based on classical-statistical-deep-learning approaches. Electronics, 12(7), art. 1716, 2023. DOI: https://doi.org/10.3390/electronics12071716

[11] Vandeghinste, V., Vanallemeersch, T., Augustinus, L., Bulté, B., Van Eynde, F., Pelemans, J., Verwimp, L., Wambacq, P., Heyman, G., Moens, M.F., Van-der-Lek-Ciudin, I., Steurs, F., Terryn, A.R., Lefever, E., Tezcan, A., Macken, L., Hoste, V., Daems, J., and Buysschaert, J., Improving the translation environment for professional translators. Informatics, 6(2), art. 24, 2019. DOI: https://doi.org/10.3390/informatics6020024

[12] Wang, C., Li, Z., Chen, T., Wang, R., and Ju, Z., Research on the application of prompt learning pretrained language model in machine translation task with reinforcement learning. Electronics, 12(16), art. 3391, 2023. DOI: https://doi.org/10.3390/electronics12163391

[13] Jung, D., Park, C., Eo, S., and Lim, H., Enhancing machine translation quality estimation via fine-grained error analysis and large language model. Mathematics, 11(19), art. 4169, 2023. DOI: https://doi.org/10.3390/math11194169

[14] Carl, M., Models of the translation process and the free energy principle. Entropy, 25(6), art. 928, 2023. DOI: https://doi.org/10.3390/e25060928

Cómo citar

IEEE

[1]
J. A. Calderón-Ch., «Intelligent translator system (9 languages) based on adaptive algorithms for portable prototypes based on microcontrollers to use in Andes mountains agriculture tasks», DYNA, vol. 93, n.º 242, pp. 63–67, jul. 2026.

ACM

[1]
Calderón-Ch., J.A., Risco-O., R.A., Quispe-M., Álex J., Moreno-R., C., Gallo-T., D.J., Utrilla-M., L.W., Castillo, R. y Fernandez V., D. 2026. Intelligent translator system (9 languages) based on adaptive algorithms for portable prototypes based on microcontrollers to use in Andes mountains agriculture tasks. DYNA. 93, 242 (jul. 2026), 63–67. DOI:https://doi.org/10.15446/dyna.v93n242.117919.

ACS

(1)
Calderón-Ch., J. A.; Risco-O., R. A.; Quispe-M., Álex J.; Moreno-R., C.; Gallo-T., D. J.; Utrilla-M., L. W.; Castillo, R.; Fernandez V., D. Intelligent translator system (9 languages) based on adaptive algorithms for portable prototypes based on microcontrollers to use in Andes mountains agriculture tasks. DYNA 2026, 93, 63-67.

APA

Calderón-Ch., J. A., Risco-O., R. A., Quispe-M., Álex J., Moreno-R., C., Gallo-T., D. J., Utrilla-M., L. W., Castillo, R. & Fernandez V., D. (2026). Intelligent translator system (9 languages) based on adaptive algorithms for portable prototypes based on microcontrollers to use in Andes mountains agriculture tasks. DYNA, 93(242), 63–67. https://doi.org/10.15446/dyna.v93n242.117919

ABNT

CALDERÓN-CH., J. A.; RISCO-O., R. A.; QUISPE-M., Álex J.; MORENO-R., C.; GALLO-T., D. J.; UTRILLA-M., L. W.; CASTILLO, R.; FERNANDEZ V., D. Intelligent translator system (9 languages) based on adaptive algorithms for portable prototypes based on microcontrollers to use in Andes mountains agriculture tasks. DYNA, [S. l.], v. 93, n. 242, p. 63–67, 2026. DOI: 10.15446/dyna.v93n242.117919. Disponível em: https://revistas.unal.edu.co/index.php/dyna/article/view/117919. Acesso em: 10 ago. 2026.

Chicago

Calderón-Ch., J. Alan, Rusber A. Risco-O., Álex J. Quispe-M., César Moreno-R., Dante J.R. Gallo-T., L. Walter Utrilla-M., Robert Castillo, y David Fernandez V. 2026. «Intelligent translator system (9 languages) based on adaptive algorithms for portable prototypes based on microcontrollers to use in Andes mountains agriculture tasks». DYNA 93 (242):63-67. https://doi.org/10.15446/dyna.v93n242.117919.

Harvard

Calderón-Ch., J. A., Risco-O., R. A., Quispe-M., Álex J., Moreno-R., C., Gallo-T., D. J., Utrilla-M., L. W., Castillo, R. y Fernandez V., D. (2026) «Intelligent translator system (9 languages) based on adaptive algorithms for portable prototypes based on microcontrollers to use in Andes mountains agriculture tasks», DYNA, 93(242), pp. 63–67. doi: 10.15446/dyna.v93n242.117919.

MLA

Calderón-Ch., J. A., R. A. Risco-O., Álex J. Quispe-M., C. Moreno-R., D. J. Gallo-T., L. W. Utrilla-M., R. Castillo, y D. Fernandez V. «Intelligent translator system (9 languages) based on adaptive algorithms for portable prototypes based on microcontrollers to use in Andes mountains agriculture tasks». DYNA, vol. 93, n.º 242, julio de 2026, pp. 63-67, doi:10.15446/dyna.v93n242.117919.

Turabian

Calderón-Ch., J. Alan, Rusber A. Risco-O., Álex J. Quispe-M., César Moreno-R., Dante J.R. Gallo-T., L. Walter Utrilla-M., Robert Castillo, y David Fernandez V. «Intelligent translator system (9 languages) based on adaptive algorithms for portable prototypes based on microcontrollers to use in Andes mountains agriculture tasks». DYNA 93, no. 242 (julio 17, 2026): 63–67. Accedido agosto 10, 2026. https://revistas.unal.edu.co/index.php/dyna/article/view/117919.

Vancouver

1.
Calderón-Ch. JA, Risco-O. RA, Quispe-M. Álex J, Moreno-R. C, Gallo-T. DJ, Utrilla-M. LW, Castillo R, Fernandez V. D. Intelligent translator system (9 languages) based on adaptive algorithms for portable prototypes based on microcontrollers to use in Andes mountains agriculture tasks. DYNA [Internet]. 17 de julio de 2026 [citado 10 de agosto de 2026];93(242):63-7. Disponible en: https://revistas.unal.edu.co/index.php/dyna/article/view/117919

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