<?xml version="1.0" encoding="UTF-8"?>
<doi_batch version="4.3.0" xmlns="http://www.crossref.org/doi_resources_schema/4.3.0" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.crossref.org/doi_resources_schema/4.3.0 http://www.crossref.org/schema/deposit/doi_resources4.3.0.xsd">
<head>
<doi_batch_id>5b324525-ba5f-4296-88c3-fa363d511c62</doi_batch_id>
<depositor>
<name>beie</name>
<email_address>director@blueeyesintelligence.org</email_address>
</depositor>
</head>
<body>
<doi_citations>
<doi>10.35940/ijitee.D1066.14050425</doi>
<citation_list><citation key="ref0"><doi>10.1109/IDT.2016.7843036</doi><unstructured_citation>Aseeri M A S,Alasows A A,Ahmad M R(2016). Design of DRFM system based on FPGA with high resources[C].Design &amp; Test Symposium (IDT),2016 11th International. IEEE: DOI: https://doi.org/10.1109/IDT.2016.7843036</unstructured_citation></citation><citation key="ref1"><doi>10.3390/s140100416</doi><unstructured_citation>MAGDALENO E,RODRÍGUEZ M,PÉREZ F,et al(2013). A FPGA embedded web server for remote monitoring and control of smart sensors networks [J]. sensors,14(1): 416-430. DOI: https://doi.org/10.3390/s140100416</unstructured_citation></citation><citation key="ref2"><doi>10.1007/s00521-018-3761-1</doi><unstructured_citation>Mittal, S.. (2018). A survey of fpga-based accelerators for convolutional neural networks. Neural Computing and Applications. DOI: https://doi.org/10.1007/s00521-018-3761-1</unstructured_citation></citation><citation key="ref3"><doi>10.3390/electronics13173504</doi><unstructured_citation>Zhao, L. . (2024). A scalable multi-fpga platform for hybrid intelligent optimization algorithms. Electronics, 13. DOI: https://doi.org/10.3390/electronics13173504</unstructured_citation></citation><citation key="ref4"><doi>10.1109/TCSII.2018.2865896</doi><unstructured_citation>Bai, L. , Zhao, Y. , &amp; Huang, X. . (2018). A cnn accelerator on fpga using depthwise separable convolution. Circuits and Systems II: Express Briefs, IEEE Transactions on, PP(99), 1-1. DOI: https://doi.org/10.1109/TCSII.2018.2865896</unstructured_citation></citation><citation key="ref5"><doi>10.1002/cta.3075</doi><unstructured_citation>Gholami, M. , Farsa, E. Z. , &amp; Karimi, G. . (2021). Reconfigurable field-programmable gate array-based on-chip learning neuromorphic digital implementation for nonlinear function approximation. International Journal of Circuit Theory and Applications. DOI: https://doi.org/10.1002/cta.3075</unstructured_citation></citation><citation key="ref6"><doi>10.3390/jlpea11010007</doi><unstructured_citation>Sahoo S S, Ranjbar B, Kumar A(2021). Reliability-Aware Resource Management in Multi-/Many-Core Systems: A Perspective Paper[J]. Journal of Low Power Electronics and Applications, 2021, 1 1(1). DOI: https://doi.org/10.3390/jlpea11010007</unstructured_citation></citation><citation key="ref7"><doi>10.1007/s11432-017-9290-4</doi><unstructured_citation>Li X, Yan G, Ye J, et al(2018). Fault tolerance on-chip: a reliable computing paradigm using self-test, self-diagnosis, and self-repair</unstructured_citation></citation><citation key="ref8"><doi>10.1007/s11432-017-9290-4</doi><unstructured_citation>(3S) approach[J]. Science China Information Sciences, 2018, 61(1 1): 1-17. DOI: https://doi.org/10.1007/s11432-017-9290-4</unstructured_citation></citation><citation key="ref9"><doi>10.1109/JPROC.2015.2404212</doi><unstructured_citation>Wirthlin, M. . (2015). High-reliability fpga-based systems: space, high-energy physics, and beyond. Proceedings of the IEEE, 103(3), 379-389. DOI: https://doi.org/10.1109/JPROC.2015.2404212</unstructured_citation></citation><citation key="ref10"><doi>10.1109/ETS.2013.6569377</doi><unstructured_citation>Reorda, M. S. , Sterpone, L. , &amp; Ullah, A. . (2013). An error-detection and self-repairing method for dynamically and partially reconfigurable systems. IEEE. DOI: https://doi.org/10.1109/ETS.2013.6569377</unstructured_citation></citation><citation key="ref11"><doi>10.1142/S0218126612400117</doi><unstructured_citation>Lee, J. , Bhagavatula, S. , Bhunia, S. , Roy, K. , &amp; Jung, B. . (2012). Self-healing design in deep scaled cmos technologies. Journal of Circuits Systems &amp; Computers, 21(06), 1240011-1240011-15. DOI: https://doi.org/10.1142/S0218126612400117</unstructured_citation></citation><citation key="ref12"><doi>10.1109/AHS.2010.5546231</doi><unstructured_citation>Narasimhan S, Paul S, Chakraborty R S, et al(2010). System level self-healing for parametric yield and reliability improvement under power bound[C]//2010 NASA/ESA Conference on Adaptive Hardware and Systems. IEEE, 2010: 52-58. DOI: https://doi.org/10.1109/AHS.2010.5546231</unstructured_citation></citation><citation key="ref13"><doi>10.1002/adfm.202308219</doi><unstructured_citation>Huang, X. , Zhao, Y. , Wang, X. , Wang, F. , Liu, L. , &amp; Yang, H. , et al. (2024). Implementing versatile programmable logic functions using two magnetization switching types in a single device. Advanced Functional Materials, 34(3). DOI: https://doi.org/10.1002/adfm.202308219</unstructured_citation></citation><citation key="ref14"><doi>10.4218/etrij.15.0115.0040</doi><unstructured_citation>Ilwoong, Kim, Woosik, Jeong, Dongho, &amp; Kang, et al. (2015). Fully programmable memory bist for commodity drams. ETRI Journal, 37(4), 787-792. DOI: https://doi.org/10.4218/etrij.15.0115.0040 0</unstructured_citation></citation><citation key="ref15"><doi>10.1109/ISCAS.2018.8351501</doi><unstructured_citation>Yuan, C. , Huang, L. , Wang, J. , &amp; Li, Q. . (2018). Micro-architecture design for low overhead fault tolerant network-on-chip. IEEE. DOI: https://doi.org/10.1109/ISCAS.2018.8351501</unstructured_citation></citation><citation key="ref16"><doi>10.1109/AHS.2014.6880155</doi><unstructured_citation>Liu, J. , Harkin, J. , Yuhua, L. , &amp; Maguire, L. P. . (2014). Online fault detection for networks-on-chip interconnect. IEEE. DOI: https://doi.org/10.1109/AHS.2014.6880155</unstructured_citation></citation><citation key="ref17"><unstructured_citation>Wang J, Ebrahimi M, Huang L, et al(2019). Efficient design-for-test approach for networks-on-chip[J]. IEEE Transactions on Computers, 68(2): 198-213. https://ieeexplore.ieee.org/document/8440731</unstructured_citation></citation><citation key="ref18"><doi>10.1109/ISCAS.2019.8702409</doi><unstructured_citation>Zhan J, Huang L, Wang J, et al(2019). Online path-based test method for network-on-chip[C]//2019 .IEEE International Symposium on Circuits and Systems (ISCAS). IEEE, 2019: 1-5. DOI: https://doi.org/10.1109/ISCAS.2019.8702409</unstructured_citation></citation><citation key="ref19"><doi>10.1109/TPDS.2016.2521641</doi><unstructured_citation>Pavan, Poluri, Ahmed, &amp; Louri. (2016). Shield: a reliable network-on-chip router architecture for chip multiprocessors. IEEE Transactions on Parallel and Distributed Systems, 27(10), 3058-3070. DOI: https://doi.org/10.1109/TPDS.2016.2521641</unstructured_citation></citation><citation key="ref20"><doi>10.1145/3193827</doi><unstructured_citation>Vip in K, Fahmy S A(2018). FPGA dynamic and partial reconfiguration: A survey of architectures, methods, and applications[J]. ACM Computing Surveys (CSUR),5 1(4): 1-39. DOI: https://doi.org/10.1145/3193827</unstructured_citation></citation><citation key="ref21"><doi>10.1109/iThings-GreenCom-CPSCom-SmartData.2016.44</doi><unstructured_citation>Lee, Y. H. , &amp; Nair, S. . (2017). A Smart Gateway Framework for IOT Services. IEEE International Conference on Internet of Things. IEEE. pp. 107-114. DOI: https://doi.org/10.1109/iThings-GreenCom-CPSCom-SmartData.2016.44</unstructured_citation></citation><citation key="ref22"><doi>10.1109/JIOT.2016.2550561</doi><unstructured_citation>Jutila M(2016). An Adaptive Edge Router Enabling Internet of Things[J]. Internet of Things Journal, IEEE, 2016, 3(6):1061-1069. DOI: https://doi.org/10.1109/JIOT.2016.2550561</unstructured_citation></citation><citation key="ref23"><unstructured_citation>N arayanan R, Murthy C(2017). A probabilistic framework for protocol conversions in IoT networks with heterogeneous gateways[J]. IEEE Communications Letters, 2017:1-1. https://ieeexplore.ieee.org/document/7990138</unstructured_citation></citation><citation key="ref24"><doi>10.1109/JIOT.2022.3188826</doi><unstructured_citation>L. Yang, Y. Wei, F. R. Yu and Z. Han(2022),Joint Routing and Scheduling Optimization in Time-Sensitive Networks Using Graph-Convolutional-Network-Based Deep Reinforcement Learning, in IEEE Internet of Things Journal, vol. 9, no. 23, pp. 23981-23994, 1 Dec.1, 2022, DOI: https://doi.org/10.1109/JIOT.2022.3188826</unstructured_citation></citation><citation key="ref25"><doi>10.3390/s19194217</doi><unstructured_citation>Akasiadis, C. , Pitsilis, V. , &amp; Spyropoulos, C. D. . (2019). A multi-protocol iot platform based on open-source frameworks. Sensors, 19(19), 4217-. DOI: https://doi.org/10.3390/s19194217</unstructured_citation></citation><citation key="ref26"><unstructured_citation>Song Xin(2020). Design and Implementation of Industrial Internet Gateway Based on Microservice Architecture [D]. Beijing Jiaotong University. https://cdmd.cnki.com.cn/Article/CDMD-10056-1021826347.htm</unstructured_citation></citation><citation key="ref27"><doi>10.1109/ICCASIT50869.2020.9368773</doi><unstructured_citation>Zhang, Y. , Sun, W. , &amp; Shi, Y. . (2020). Architecture and implementation of industrial internet of things (iiot) gateway. IEEE. DOI: https://doi.org/10.1109/ICCASIT50869.2020.9368773</unstructured_citation></citation><citation key="ref28"><unstructured_citation>Sun Xihao, Li Yimin, Hua Jing, etc(2007). Type-2 mathematical model for redundant structures in biological systems [J]. Fuzzy systems and mathematics, 21(5):8. https://0.3969/j.issn.1001-7402.2007.05.028</unstructured_citation></citation><citation key="ref29"><doi>10.1109/91.873577</doi><unstructured_citation>Liang Q，Mendel J M(2001)．Interval type-2 fuzzy logic system：theory and design［J］．IEEE Trans．Fuzzy systems，2001 ，132：195～220. DOI: http://dx.doi.org/10.1109/91.873577</unstructured_citation></citation><citation key="ref30"><doi>10.35940/ijitee.J9478.0881019</doi><unstructured_citation>Dwivedi, P. K., &amp; Tripathi, S. P. (2019). A Simplified Interval Type-2 Fuzzy Implementation for Financial Credit Decision. In International Journal of Innovative Technology and Exploring Engineering (Vol. 8, Issue 10, pp. 3036-3044). DOI: https://doi.org/10.35940/ijitee.j9478.0881019</unstructured_citation></citation><citation key="ref31"><doi>10.35940/ijeat.A4299.1013123</doi><unstructured_citation>Usman, H., &amp; Magaji, N. (2023). Interval Type - 2 Fuzzy Logic Controller Based Shunt Active Power Filter for Power Quality Enhencement. In International Journal of Engineering and Advanced Technology (Vol. 13, Issue 1, pp. 68-73). DOI: https://doi.org/10.35940/ijeat.a4299.1013123</unstructured_citation></citation><citation key="ref32"><doi>10.35940/ijese.K2586.12111024</doi><unstructured_citation>Sumith, Karthik K, V., &amp; Dr. Sandhya S. (2024). Implementation of A Delay-Tolerant Routing Protocol in the Network Simulator NS-3. In International Journal of Emerging Science and Engineering (Vol. 12, Issue 11, pp. 13-17). DOI: https://doi.org/10.35940/ijese.k2586.12111024</unstructured_citation></citation><citation key="ref33"><doi>10.35940/ijrte.B2127.078219</doi><unstructured_citation>BS, S., Kumar B R, S., K, A., &amp; S N, S. (2019). Routing Protocol using Fuzzy Logic for Vehicular Ad-Hoc Networks. In International Journal of Recent Technology and Engineering (IJRTE) (Vol. 8, Issue 2, pp. 4789-4794). DOI: https://doi.org/10.35940/ijrte.b2127.078219</unstructured_citation></citation><citation key="ref34"><doi>10.35940/ijaent.G9582.0610623</doi><unstructured_citation>Sharma, P. (2023). A Fuzzy Approach to Educational Grading Systems &quot;Fuzzy Logic Based Grade Card.&quot; In International Journal of Advanced Engineering and Nano Technology (Vol. 10, Issue 6, pp. 1-8). DOI: https://doi.org/10.35940/ijaent.g9582.0610623</unstructured_citation></citation></citation_list>
</doi_citations>
</body>
</doi_batch>
