Software engineering database programming control system based on embedded system

[1] Thul, A., Groschup, B., Hameyer, K. (2020). Influences on the Accuracy of Torque Calculation for Permanent Magnet Synchronous Machines. IEEE Transactions on Energy Conversion, 35(4), 2261-2268. Search in Google Scholar

[2] Christiansen, M., Bailey, T., Klaff, L., et al. (2019). Abstract #300 Evaluation of the Accuracy of an Implantable CGM System with an Updated Glucose Calculation Algorithm. Endocrine Practice, 25, 125. Search in Google Scholar

[3] Viegas, E., Santin, A. O., França, A., et al. (2017). Towards an Energy-Efficient Anomaly-Based Intrusion Detection Engine for Embedded Systems. IEEE Transactions on Computers. Search in Google Scholar

[4] Bosch, J., Olsson, H. (2017). Towards Evidence-Based Organizations: Learnings From Embedded Systems, Online Games And Internet of Things. IEEE Software, 1-1. Search in Google Scholar

[5] Tamas-Selicean, D., Pop, et al. (2015). Design Optimization of Mixed-Criticality Real-Time Embedded Systems. ACM Transactions on Embedded Computing Systems. Search in Google Scholar

[6] Cho, S. J., Yun, S. H., Jeon, J. W. (2015). A powersaving DVFS algorithm based on Operational Intensity for embedded systems. Ice Electron Express, 12(3), 20141128-20141128. Search in Google Scholar

[7] Jafari, R., Ghiasi, S., Sarrafzadeh, M. (2015). Medical embedded systems. Information Systems, 16(1), 28-30. Search in Google Scholar

[8] Vranic, I., Mimic, V. (2015). An innovative approach to envision sudden cardiac dying risk now achievable with software specific module. European Journal of Cardiovascular Nursing, 14, S61-S62. Search in Google Scholar

[9] Shmilovich, H., Belhassen, et al. (2017). Use of New Imaging CARTOR (R) Segmentation Module Software to Facilitate Ablation of Ventricular Arrhythmias. Journal of cardiovascular electrophysiology. Search in Google Scholar

[10] Roberts, K. J., Pringle, W. J., Westerink, J. J. (2019). OceanMesh2D 1.0: MATLAB-based software for two-dimensional unstructured mesh generation in coastal ocean modeling. Geoscientific Model Development, 12(5), 1847-1868. Search in Google Scholar

[11] Barber, K. S., Holt, J. (2015). Software architecture correctness. IEEE Software, 18(6), 64-65. Search in Google Scholar

[12] Fan, S., Fei, J., Shen, L. (2017). Accelerating Deep Learning with a Parallel Mechanism Using CPU + MIC. International Journal of Parallel Programming. Search in Google Scholar

[13] Liu, Y., Jiwen, et al. (2016). An efficient step-length formula for correlative least-squares reverse time migration. Geophysics. Search in Google Scholar

[14] Liu, Y., Chong, et al. (2016). Step length estimation based on D-ZUPT for pedestrian dead-reckoning system. Electronics Letters, 52(11). Search in Google Scholar

[15] Zhang, D., Zhang, J., Yang, M., et al. (2022). An enhanced finite step length method for structural reliability analysis and reliability-based design optimization. Structural and Multidisciplinary Optimization, 65(8), 1-22. Search in Google Scholar

[16] Falaise, C., Moussawi, et al. (2018). Probing Dynamic Library of Metal-Oxo Building Blocks with gamma-Cyclodextrin. Journal of the American Chemical Society. Search in Google Scholar

[17] A, M., B, S., B, E., et al. (2021). Introduction of ABCEP as an automatic programming method. Information Sciences, 545, 575-594. Search in Google Scholar

[18] Salvador, C., Mesa, M. S., Durán, E., et al. (2015). Instrumentino: An Open-Source Software for Scientific Instruments. Chimia, 69(4), 172-175. Search in Google Scholar

[19] Trauer, M. C., Ragonnet, R., Tan, N. D., et al. (2017). Modular programming for tuberculosis control, the “AuTuMN” platform. BMC Infectious Diseases, 17(1), 546. Search in Google Scholar

[20] Saeedi, A., Firoiu, V., Mansinghka, V. (2015). Automatic Inference for Inverting Software Simulators via Probabilistic Programming. Statistics. Search in Google Scholar

[21] Hao, L., Xie, L., Bai, B., et al. (2020). High Effective Calculation and 3D Modeling of Ion Flow Field Considering the Crossing of HVDC Transmission Lines. IEEE Transactions on Magnetics, PP(99), 1-1. Search in Google Scholar

[22] Yoon, M. K., Mohan, S., Choi, J., et al. (2015). Intrusion Detection Using Execution Contexts Learned from System Call Distributions of Real-Time Embedded Systems. Acta Mathematica, 42(1), 349-355. Search in Google Scholar

[23] Jiang, S., Lian, M., Lu, C., et al. (2018). Ensemble Prediction Algorithm of Anomaly Monitoring Based on Big Data Analysis Platform of Open-Pit Mine Slope. Complexity, 2018, 1-13. Search in Google Scholar

[24] Li, J., Huang, X., Cao, P., et al. (2019). Data Acquisition Software for CBM-TOF Super Module Quality Control. IEEE Transactions on Nuclear Science, 66. Search in Google Scholar

[25] Roberts, K. J., Pringle, W. J., Westerink, J. J. (2019). OceanMesh2D 1.0: MATLAB-based software for two-dimensional unstructured mesh generation in coastal ocean modeling. Geoscientific Model Development, 12(5), 1847-1868. Search in Google Scholar

[26] Pawlowski, R. P., Phipps, E. T., Salinger, A. G., et al. (2015). Automating embedded analysis capabilities and managing software complexity in multiphysics simulation part II: application to partial differential equations. Scientific Programming, 20(3), 327-345. Search in Google Scholar

[27] Nan, S., Xu-Dong, L. U., Gorp, P. V., et al. (2018). Design and implementation of a platform for configuring clinical dynamic safety checklist applications. Frontiers of Information Technology & Electronic Engineering. Search in Google Scholar