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Статті в журналах з теми "Inverse desing"

Автор: Grafiati

Опубліковано: 15 березня 2025

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1

Chen Yiteng, 陈毅腾, 邱吉芳 Qiu Jifang, 董振理 Dong Zhenli, 潘宥西 Pan Youxi, 陈玉琛 Chen Yuchen, 郭宏翔 Guo Hongxiang та 伍剑 Wu Jian. "基于逆设计的新型垂直耦合器". Acta Optica Sinica 41, № 17 (2021): 1713001. http://dx.doi.org/10.3788/aos202141.1713001.

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2

HONG Peng, 洪鹏, 胡珑夏雨 HU Longxiayu, 周子昕 ZHOU Zixin, 秦浩然 QIN Haoran, 陈佳乐 CHEN Jiale, 范烨 FAN Ye, 殷同宇 YIN Tongyu, 寇君龙 KOU Junlong та 陆延青 LU Yanqing. "光子学逆向设计研究进展（特邀）". ACTA PHOTONICA SINICA 52, № 6 (2023): 0623001. http://dx.doi.org/10.3788/gzxb20235206.0623001.

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3

Liao Junpeng, 廖俊鹏, 田野 Tian Ye, 杨子荣 Yang Zirong, 康哲 Kang Zhe, 郑紫薇 Zheng Ziwei, 金庆辉 Jin Qinghui та 张晓伟 Zhang Xiaowei. "基于边界逆向优化算法的任意分光比耦合器设计". Acta Optica Sinica 43, № 1 (2023): 0113001. http://dx.doi.org/10.3788/aos221241.

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4

MA Dina, 玛地娜, 程化 CHENG Hua, 田建国 TIAN Jianguo та 陈树琪 CHEN Shuqi. "人工光子学器件的逆向设计方法与应用（特邀）". ACTA PHOTONICA SINICA 51, № 1 (2022): 0151110. http://dx.doi.org/10.3788/gzxb20225101.0151110.

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5

Wei Heming, 魏鹤鸣, 胡文琛 Hu Wenchen та 庞拂飞 Pang Fufei. "高性能近红外聚合物超透镜的逆向设计". Acta Optica Sinica 44, № 8 (2024): 0822002. http://dx.doi.org/10.3788/aos231859.

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6

Sahoo, Abhilipsa, and Kaushika Patel. "Machine Learning-based Inverse Design Model of a Transistor." Indian Journal Of Science And Technology 17, no. 7 (February 15, 2024): 617–24. http://dx.doi.org/10.17485/ijst/v17i7.3076.

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Анотація:

Objectives: To develop an inverse design model for transistors, utilizing machine learning algorithms to predict key design parameters specifically, the length and width based on specified gain and bandwidth requirements. And to conduct a comprehensive comparative analysis with existing literature, evaluating the efficacy and novelty of the proposed model in the context of semiconductor engineering challenges and methodologies. Methods: The comprehensive dataset, comprising 30,000 values generated through LTspice simulations, forms the basis for training the machine learning model. Utilizing a Random Forest regressor as the base model and a multi-output regressor as the main model, the project involves extensive data analysis, model development, and iterative fine-tuning. Findings: The outcomes demonstrate the efficacy of the developed model in accurately predicting transistor dimensions. Performance metrics, including Mean Absolute Error (MAE), Mean Squared Error (MSE), and R-squared, highlight the precision of the model in fulfilling the specified objectives. Novelty: This study introduces a novel approach to semiconductor device design optimization, showcasing the potential of machine learning to streamline the inverse design process. The use of a multi-output regressor, feature engineering, and fine-tuning through log transformation contribute to the innovative nature of the developed model. Keywords: Machine Learning (ML) model, Random Forest regressor, multioutput regressor, Feature engineering, Finetuning

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7

Gu Qiongchan, 谷琼婵, та 张睿哲 Zhang Ruizhe. "基于残差架构的超表面逆向设计方法". Acta Optica Sinica 45, № 3 (2025): 0324001. https://doi.org/10.3788/aos241587.

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8

Roh, Hee-Jung, and Jeong-Hwan Cho. "Design of Inverse E Class Frequency Multiplier with High Efficiency." Journal of the Korean Institute of Illuminating and Electrical Installation Engineers 25, no. 11 (November 30, 2011): 98–102. http://dx.doi.org/10.5207/jieie.2011.25.11.098.

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9

Muin, Abdul, Arista Ambar Pratiwi, and Gusni Satriawati. "Didactical Design for Overcoming Students' Learning Obstacles on the Inverse Function Concept." TARBIYA: Journal of Education in Muslim Society 7, no. 2 (April 20, 2021): 183–91. http://dx.doi.org/10.15408/tjems.v7i2.20455.

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AbstractThe inverse function in secondary schools is still a difficult concept to learn. Meanwhile, in national exams or competitions this problem often arises. Didactic design is an attempt to improve the learning process. The purpose of this study is to identify the epistemological obstacle, to develop the learning designs, and to describe the students’ responses regarding the implementation of inverse function’s concept learning designs in the class. This research was held in one of Senior High School in South Tangerang of 38 people from class X. The research method is Didactical Design Research (DDR). This method is conducted from three stages, prospective analysis, metapedia didactic analysis, and retrospective analysis. The result of the study was indicated that the student’s obstacles are according to predictions and didactical design still generates some new epistemological obstacle. The revised didactical design was obtained by updating the initial didactical design to resolve the obstacle. The revised didactical design includes choosing vocabulary, adding new instructions, and expanding predictions and anticipating student responses.AbstrakFungsi invers di sekolah menengah masih merupakan konsep yang sulit dipelajari. Sedangkan dalam ujian atau kompetisi nasional masalah ini sering muncul. Desain didaktik merupakan upaya untuk meningkatkan proses pembelajaran. Tujuan penelitian ini adalah untuk mengidentifikasi hambatan epistemologis, mengembangkan desain pembelajaran, dan mendeskripsikan tanggapan siswa terkait penerapan desain pembelajaran konsep fungsi invers di kelas. Penelitian ini dilaksanakan di salah satu Sekolah Menengah Atas di Tangerang Selatan yang berjumlah 38 orang dari kelas X. Metode penelitian yang digunakan adalah Penelitian Desain Didaktik. Metode ini dilakukan dari tiga tahap yaitu analisis prospektif, analisis metapedadidaktik, dan analisis retrospektif. Hasil penelitian menunjukkan bahwa kesulitan yang dialami siswa sesuai dengan prediksi dan desain didaktis masih menimbulkan hambatan epistemologis baru. Desain didaktis yang direvisi diperoleh dengan memperbarui desain didaktis awal untuk menyelesaikan kesulitan. Desain didaktis yang direvisi terdiri atas: memilih kosakata, menambahkan instruksi baru, dan memperluas prediksi dan mengantisipasi respon siswa. How to Cite: Muin, A., Pratiwi, A. A., Satriawati, G. (2020). Didactical Design for Overcoming Students' Learning Obstacles on the Inverse Function Concept. TARBIYA: Journal of Education in Muslim Society, 7(2), 183-191. doi:10.15408/tjems.v7i2.13041.

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10

Hunek, Wojciech, and Krzysztof Latawiec. "A study on new right/left inverses of nonsquare polynomial matrices." International Journal of Applied Mathematics and Computer Science 21, no. 2 (June 1, 2011): 331–48. http://dx.doi.org/10.2478/v10006-011-0025-y.

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A study on new right/left inverses of nonsquare polynomial matricesThis paper presents several new results on the inversion of full normal rank nonsquare polynomial matrices. New analytical right/left inverses of polynomial matrices are introduced, including the so-called τ-inverses, σ-inverses and, in particular,S-inverses, the latter providing the most general tool for the design of various polynomial matrix inverses. The applicationoriented problem of selecting stable inverses is also solved. Applications in inverse-model control, in particular robust minimum variance control, are exploited, and possible applications in signal transmission/recovery in various types of MIMO channels are indicated.

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11

Li, Jiahao, Mengwei Cao, Weili Liang, Yilin Zhang, Zhenwei Xie, and Xiaocong Yuan. "Inverse design of 1D color splitter for high-efficiency color imaging." Chinese Optics Letters 20, no. 7 (2022): 073601. http://dx.doi.org/10.3788/col202220.073601.

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12

Han Ding, 韩丁, 马子寅 Ma Ziyin, 王俊林 Wang Junlin, 王鑫 Wang Xin та 刘苏雅拉图 Liu Suyalatu. "基于粒子群算法的超材料吸波体传感器逆设计". Chinese Journal of Lasers 49, № 17 (2022): 1714001. http://dx.doi.org/10.3788/cjl202249.1714001.

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13

Shi, Chenyu, Yu Wang, Qiongjun Liu, Sai Chen, Weipeng Zhao, Xiaojun Wu, Jierong Cheng, and Shengjiang Chang. "Inverse design on terahertz multilevel diffractive lens based on 3D printing." Chinese Optics Letters 21, no. 11 (2023): 110006. http://dx.doi.org/10.3788/col202321.110006.

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14

Yang Zirong, 杨子荣, 田野 Tian Ye, 廖俊鹏 Liao Junpeng, 康哲 Kang Zhe, 张晓伟 Zhang Xiaowei та 金庆辉 Jing Qinghui. "基于边缘智能优化的高性能模式转换器逆设计". Chinese Journal of Lasers 50, № 18 (2023): 1819001. http://dx.doi.org/10.3788/cjl221276.

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15

Jin, Xin, Jinbin Xu, Yaqian Li, Cuiwei Xue, Rujun Liao, Liucheng Fu, Min Liu, Yunliang Shen, Xueling Quan, and Xiulan Cheng. "Fabrication-constrained inverse design and demonstration of high-performance grating couplers." Chinese Optics Letters 22, no. 11 (2024): 112201. http://dx.doi.org/10.3788/col202422.112201.

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16

Liao, Junpeng, Ye Tian, Zirong Yang, Haoda Xu, Chen Tang, Yuheng Wang, Xiaowei Zhang, and Zhe Kang. "Inverse design of highly efficient and broadband mode splitter on SOI platform." Chinese Optics Letters 22, no. 1 (2024): 011302. http://dx.doi.org/10.3788/col202422.011302.

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17

Wang Tao, 王涛, 宋清海 Song Qinghai та 徐科 Xu Ke. "基于逆向设计的集成光学超构波导研究进展（特邀）". Acta Optica Sinica 44, № 15 (2024): 1513019. http://dx.doi.org/10.3788/aos240865.

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18

Liu, David, Lucas H. Gabrielli, Michal Lipson, and Steven G. Johnson. "Transformation inverse design." Optics Express 21, no. 12 (June 7, 2013): 14223. http://dx.doi.org/10.1364/oe.21.014223.

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19

Truhlar, Donald G. "Inverse solvent design." Nature Chemistry 5, no. 11 (September 22, 2013): 902–3. http://dx.doi.org/10.1038/nchem.1774.

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20

HIRAMOTO, Kazuhiko, Taichi MATSUOKA, Akira FUKUKITA, and Katsuaki SUNAKODA. "1A15 Integrated Design of Structural and Semi-active Control Systems : Inverse Lyapunov Approach." Proceedings of the Symposium on the Motion and Vibration Control 2010 (2010): _1A15–1_—_1A15–12_. http://dx.doi.org/10.1299/jsmemovic.2010._1a15-1_.

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21

Zhang Jingpeng, 张靖鹏, 陈起行 Chen Qihang, 王妍卉 Wang Yanhui, 董磊 Dong Lei, 郑珍珍 Zheng Zhenzhen та 张文鑫 Zhang Wenxin. "天基逆合成孔径激光雷达LEO目标成像模式设计". Infrared and Laser Engineering 52, № 5 (2023): 20220679. http://dx.doi.org/10.3788/irla20220679.

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22

Kofoworola, Adewumi Hope, Awodele Mojoyinola Kofoworola Abiodun Ayodele Joshua, Ajiboye Joseph Olumide, Oyeshola Hakeem Olayinka Dauda Basit Gbolahan, Olatunji Abdulateef Ayomide, Akintoyinbo Timileyin James, Agboola Abdul-Hakiim, and Adedeji Kowiyu Omotayo. "Design, Construction and Implementation of 1KVA Inverter." International Journal of Research Publication and Reviews 5, no. 11 (November 2024): 1684–94. http://dx.doi.org/10.55248/gengpi.5.1124.3222.

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23

Palevi, Bima Romadhon Parada Dian, M. Abd. Hamid, and Citra Dewi Megawati. "Rekomendasi Desain Relay Arus Lebih Standar IEC Berbiaya Rendah Menggunakan Arsitektur Mikrokontroller ATMega328P." Prosiding SENIATI 6, no. 3 (July 14, 2022): 500–506. http://dx.doi.org/10.36040/seniati.v6i3.5086.

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Анотація:

Dalam operasi sistem tenaga listrik, gangguan yang terjadi dapat mengakibatkan terganggunya penyaluran tenaga listrik ke konsumen. Sistem proteksi berperan penting dalam mendeteksi adanya gangguan dan dapat mencegah kerusakan yang dapat menyebabkan gangguan lebih besar. Relay Arus Lebih (Over Current Relay/OCR) adalah suatu perangkat yang bekerja berdasarkan kenaikan arus yang melebihi suatu nilai pengaman tertentu dalam jangka waktu tertentu. Dalam standar IEC Curve metode yang digunakan terdiri dari Extremely Inverse, Very Inverse, Normally Inverse, dan Moderatelly Invese. Pada paper ini telah dirancang suatu purwarupa OCR menggunakan mikrokontroller ATMega328P sebagai pemroses algoritma. Purwarupa OCR dilengkapi dengan pengaturan ISetting (PS) menggunakan potensiometer yang terhubung pada papan Arduino Uno dengan memperhatikan besarnya beban yang ditangani. Pick up sensor menggunakan sensor arus Current Transformers (CT) yang akan mendeteksi perubahan besaran arus AC yang mengalir pada beban. Pada penelitian ini tidak membandingkan metode mana yang terbaik dalam operasi sistem proteksi OCR, tetapi lebih ke arah pembuktian, bahwa OCR sederhana yang dibangun menggunakan arsitektur ATMega328P cukup handal, murah, dan sederhana dalam instumentasi.

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24

Molesky, Sean, Zin Lin, Alexander Y. Piggott, Weiliang Jin, Jelena Vucković, and Alejandro W. Rodriguez. "Inverse design in nanophotonics." Nature Photonics 12, no. 11 (October 26, 2018): 659–70. http://dx.doi.org/10.1038/s41566-018-0246-9.

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25

A. Gravvanis, George, and Christos K. Filelis-Papadopoulos. "On the multigrid cycle strategy with approximate inverse smoothing." Engineering Computations 31, no. 1 (February 25, 2014): 110–22. http://dx.doi.org/10.1108/ec-03-2012-0055.

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Анотація:

Purpose – The purpose of this paper is to propose multigrid methods in conjunction with explicit approximate inverses with various cycles strategies and comparison with the other smoothers. Design/methodology/approach – The main motive for the derivation of the various multigrid schemes lies in the efficiency of the multigrid methods as well as the explicit approximate inverses. The combination of the various multigrid cycles with the explicit approximate inverses as smoothers in conjunction with the dynamic over/under relaxation (DOUR) algorithm results in efficient schemes for solving large sparse linear systems derived from the discretization of partial differential equations (PDE). Findings – Application of the proposed multigrid methods on two-dimensional boundary value problems is discussed and numerical results are given concerning the convergence behavior and the convergence factors. The results are comparatively better than the V-cycle multigrid schemes presented in a recent report (Filelis-Papadopoulos and Gravvanis). Research limitations/implications – The limitations of the proposed scheme lie in the fact that the explicit finite difference approximate inverse matrix used as smoother in the multigrid method is a preconditioner for specific sparsity pattern. Further research is carried out in order to derive a generic explicit approximate inverse for any type of sparsity pattern. Originality/value – A novel smoother for the geometric multigrid method is proposed, based on optimized banded approximate inverse matrix preconditioner, the Richardson method in conjunction with the DOUR scheme, for solving large sparse linear systems derived from finite difference discretization of PDEs. Moreover, the applicability and convergence behavior of the proposed scheme is examined based on various cycles and comparative results are given against the damped Jacobi smoother.

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26

Na, Yusung, Nguyen Dang An, and Chulhun Seo. "Design of High-Efficiency and High-Power Inverse Class-F GaN HEMT Synchronous Rectifier." Journal of Korean Institute of Electromagnetic Engineering and Science 35, no. 3 (March 2024): 205–10. http://dx.doi.org/10.5515/kjkiees.2024.35.3.205.

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27

Limache, Alejandro C. "Inverse method for airfoil design." Journal of Aircraft 32, no. 5 (September 1995): 1001–11. http://dx.doi.org/10.2514/3.46829.

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28

Ansari, Navid, Hans-Peter Seidel, and Vahid Babaei. "Mixed integer neural inverse design." ACM Transactions on Graphics 41, no. 4 (July 2022): 1–14. http://dx.doi.org/10.1145/3528223.3530083.

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In computational design and fabrication, neural networks are becoming important surrogates for bulky forward simulations. A long-standing, intertwined question is that of inverse design: how to compute a design that satisfies a desired target performance? Here, we show that the piecewise linear property, very common in everyday neural networks, allows for an inverse design formulation based on mixed-integer linear programming. Our mixed-integer inverse design uncovers globally optimal or near optimal solutions in a principled manner. Furthermore, our method significantly facilitates emerging, but challenging, combinatorial inverse design tasks, such as material selection. For problems where finding the optimal solution is intractable, we develop an efficient yet near-optimal hybrid approach. Eventually, our method is able to find solutions provably robust to possible fabrication perturbations among multiple designs with similar performances. Our code and data are available at https://gitlab.mpi-klsb.mpg.de/nansari/mixed-integer-neural-inverse-design.

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29

Gao, Yubin, Qikai Chen, Sijie Pian, and Yaoguang Ma. "Inverse design in flat optics." Photonics and Nanostructures - Fundamentals and Applications 52 (December 2022): 101074. http://dx.doi.org/10.1016/j.photonics.2022.101074.

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30

Selig, Michael S., and Mark D. Maughmer. "Generalized multipoint inverse airfoil design." AIAA Journal 30, no. 11 (November 1992): 2618–25. http://dx.doi.org/10.2514/3.11276.

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31

Mas, A., I. MartÃn, and G. Patow. "Fast Inverse Reflector Design (FIRD)." Computer Graphics Forum 28, no. 8 (December 2009): 2046–56. http://dx.doi.org/10.1111/j.1467-8659.2009.01430.x.

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32

Kuhn, Christoph, and David N. Beratan. "Inverse Strategies for Molecular Design." Journal of Physical Chemistry 100, no. 25 (January 1996): 10595–99. http://dx.doi.org/10.1021/jp960518i.

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33

Piñeros, William D., Beth A. Lindquist, Ryan B. Jadrich, and Thomas M. Truskett. "Inverse design of multicomponent assemblies." Journal of Chemical Physics 148, no. 10 (March 14, 2018): 104509. http://dx.doi.org/10.1063/1.5021648.

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34

Patow, Gustavo, Xavier Pueyo, and Alvar Vinacua. "User-guided inverse reflector design." Computers & Graphics 31, no. 3 (June 2007): 501–15. http://dx.doi.org/10.1016/j.cag.2006.12.003.

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35

Mas, Albert, Ignacio Martín, and Gustavo Patow. "Heuristic driven inverse reflector design." Computers & Graphics 77 (December 2018): 1–15. http://dx.doi.org/10.1016/j.cag.2018.09.010.

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36

Frankel, J. I. "Constraining inverse stefan design problems." ZAMP Zeitschrift f�r angewandte Mathematik und Physik 47, no. 3 (May 1996): 456–66. http://dx.doi.org/10.1007/bf00916649.

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37

Wu, Hongzhi, Julie Dorsey, and Holly Rushmeier. "Inverse bi-scale material design." ACM Transactions on Graphics 32, no. 6 (November 2013): 1–10. http://dx.doi.org/10.1145/2508363.2508394.

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38

Bennett, A. F. "Array design by inverse methods." Progress in Oceanography 15, no. 2 (January 1985): 129–56. http://dx.doi.org/10.1016/0079-6611(85)90033-3.

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39

Jain, Avni, Jonathan A. Bollinger, and Thomas M. Truskett. "Inverse methods for material design." AIChE Journal 60, no. 8 (May 21, 2014): 2732–40. http://dx.doi.org/10.1002/aic.14491.

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40

Hackhofer, W., J. Sammer, and J. Gerhold. "Inverse magnetic separation coil design." Journal of Magnetism and Magnetic Materials 83, no. 1-3 (January 1990): 493–94. http://dx.doi.org/10.1016/0304-8853(90)90599-l.

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41

Mathew Oduka, Ugbede, and Felix Kelechi Opara. "Design of a high power, energy efficient RF inverse class F power amplifier using GaN HEMT." International Journal of Academic Research 5 (October 15, 2013): 162–67. http://dx.doi.org/10.7813/2075-4124.2013/5-5/a.23.

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42

Xu, Su, Yong Wang, BaiLe Zhang, and HongSheng Chen. "Invisibility cloaks from forward design to inverse design." Science China Information Sciences 56, no. 12 (December 2013): 1–11. http://dx.doi.org/10.1007/s11432-013-5033-0.

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Alakel Abazid, Mohammad, Aref Lakhal, and Alfred K. Louis. "Inverse design of anti-reflection coatings using the nonlinear approximate inverse." Inverse Problems in Science and Engineering 24, no. 6 (October 9, 2015): 917–35. http://dx.doi.org/10.1080/17415977.2015.1077446.

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Parizotto, Rodrigo, Evandro Claiton Goltz, Ederson dos Reis, and Paulo Roberto Eckert. "DESIGN AND DEVELOPMENT OF A MULTIPHASE INVERTER FOR AUTOMOTIVE APPLICATIONS." Eletrônica de Potência 27, no. 02 (June 30, 2022): 1–10. http://dx.doi.org/10.18618/rep.2022.2.0033.

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H Zope Pravin, Pankaj. "Design and Implementation of Carrier Based Sinusoidal PWM (Bipolar) Inverter." International Journal of Science and Research (IJSR) 1, no. 3 (March 5, 2012): 129–33. http://dx.doi.org/10.21275/ijsr12120395.

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Deshmukh, Prof Rohan, Amin Pathan, Ganesh Raut, Prajwal Nakade, and Saurabh Mohankar. "Design and Development of Vertical Axis Wind Turbine with Inverter." International Journal of Research Publication and Reviews 5, no. 5 (May 26, 2024): 12099–102. http://dx.doi.org/10.55248/gengpi.5.0524.1427.

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Vassberg, John C., and Antony Jameson. "Test cases for inverse aerodynamic design." Computers & Fluids 223 (June 2021): 104923. http://dx.doi.org/10.1016/j.compfluid.2021.104923.

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