Ｒesearch on Timing Synchronization Algorithm for Optical Signal Ｒeceiving by WANG Hong-min, CHEN Yang, LIU Zhen-zhou, WANG Yu, XUE Ping

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Research on Actuator Control System Based on Improved MPC by Qingjian Zhao, Qinghai Zhang, Shuang Zhao, Xiaoqian Zhang, Shilei Lu, Yang Guo, Liqiang Song, Zhengxu Zhao

“…This research provides a comprehensive solution for hardware design and algorithm optimization in actuator control for industrial automation and precision manufacturing.…”
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Research on rock burst prediction based on an integrated model by Junming Zhang, Qiyuan Xia, Hai Wu, Sailei Wei, Zhen Hu, Bing Du, Yuejing Yang, Huaixing Xiong

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Research on the Raft improved algorithm for anti-Byzantine nodes by WANG Xiaowei, LI Jie

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Research on the Liquid Helium Insulation Characteristics of an Experimental System by Ye Chen, Liang Guo, Qiming Jia, Xiujuan Xie, Weiping Zhu, Ping Wang

“…The research on the thermal insulation performance of experimental systems in the liquid helium temperature range is relatively scarce. …”
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Promising Research Results and Development in the Field of Microwave Technology by A. V. Gusinsky

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THE USE OF RANKING SAMPLING METHOD WITHIN MARKETING RESEARCH by CODRUŢA DURA, IMOLA DRIGĂ

“…Using ranking sampling within marketing research requires the determination of some relevant statistical indicators - average, dispersion, sampling error etc. …”
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RESEARCH ON RADIAL FAILURE CRITERION AND LIMIT SPEED FOR CIRCLIPS by WANG ShengBin, WANG ChunXian, WU Zhe, YE JunHui, LI HaiJiu

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Research on Fault Injection Method of Train MVB Bus by Hui SONG, Lide WANG, Zhaozhao LI, Xiaomin DU

“…In order to extract the characteristics of the vehicle communication network fault data in different operating states and test the network performance under different performance degradation degrees, so as to facilitate the research of network fault diagnosis and health management, a MVB network fault injection device based on FPGA was designed. …”
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Research on Model-based Correlation Algorithm of FPGA Software by HAO Hongwei, LI Zixian, HUANG Di, LIU Can

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Research on test strategy for randomness based on deep learning by Dongyu CHEN, Hua CHEN, Limin FAN, Yifang FU, Jian WANG

“…In order to achieve better test performance, researches on the randomness test strategies based on deep learning were conducted, including the batch average strategy proposed by EUROCRYPT 2021 and the selection strategy for data unit size.By introducing the randomness statistical test model based on deep learning methods, the statistical distribution and test power expression of two test strategies were theoretically derived, and it was pointed out that: (i) the batch average strategy could amplify the prediction accuracy of the model, but it was prone to an increase in the probability of the second type of error in statistics, instead reducing the statistical test power; (ii) the smaller data units of the deep model generally obtained the more powerful statistical tests.Based on the above understanding, a new bit-level deep learning model was proposed for randomness statistical tests, which gained the advantage of prediction with 80 times fewer parameters and 50% samples, compared with the previous work on linear congruent generator (LCG) algorithm, and achieved significant prediction advantages with 10～20 times fewer parameters by extending the model to apply to 5～7 rounds of Speck, compared with the model proposed by Gohr.…”
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Research on Simple Heat Management System of Power Battery by He Xian, Wang Yangping, Qian Cheng, Su Jian, Hu Jing

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Research on test strategy for randomness based on deep learning by Dongyu CHEN, Hua CHEN, Limin FAN, Yifang FU, Jian WANG

“…In order to achieve better test performance, researches on the randomness test strategies based on deep learning were conducted, including the batch average strategy proposed by EUROCRYPT 2021 and the selection strategy for data unit size.By introducing the randomness statistical test model based on deep learning methods, the statistical distribution and test power expression of two test strategies were theoretically derived, and it was pointed out that: (i) the batch average strategy could amplify the prediction accuracy of the model, but it was prone to an increase in the probability of the second type of error in statistics, instead reducing the statistical test power; (ii) the smaller data units of the deep model generally obtained the more powerful statistical tests.Based on the above understanding, a new bit-level deep learning model was proposed for randomness statistical tests, which gained the advantage of prediction with 80 times fewer parameters and 50% samples, compared with the previous work on linear congruent generator (LCG) algorithm, and achieved significant prediction advantages with 10～20 times fewer parameters by extending the model to apply to 5～7 rounds of Speck, compared with the model proposed by Gohr.…”
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Research on deconvolution methods for thermal network of power devices by DENG Erping, YANG Ying, WANG Yanhao, CHANG Guiqin, HUANG Yongzhang, DING Lijian

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Research on Locomotive Automatic Transport System for Steel Mills by LIU Guangyong, HU Chunhui, LIU Jianshu, TANG Tao, HUANG Sheng

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Research on citrus grading system based on machine vision by Miao Xu, Xuan Zhang, ChangJun Zhan, JianYu Ge, Hua Yang

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Research on an Ice-Breaking Mechanism Using Subglacial Resonance by Zegang Tian, Zixu Zhu, Bo Tong, Nianming Hu, Mingyong Hu, Yongbao Liu

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Research structure of abstracts on women’s health presented in a brazilian nursing congress by Andrea Gomes Linard, Dafne Paiva Rodrigues, Maria Albertina Rocha Diógenes, Maria de Nazaré de Oliveira Fraga, Marta Maria Coelho Damasceno

“…The conclusion is that the research summaries presented error flaws in its elaboration, repeating the presence of summaries badly elaborated already verified in other recent studies.   …”
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Prevalence and Associated Risk Factors of Visual Impairment among Children at Ibn Al-Haitham Eye Hospital in Baghdad,Iraq: A Cross-sectional Study by Baydaa Jaber Shamran, Zainora Mohammed, Hassenien Shuber, Mohd Harimi Abd Rahman, Norliza Mohamad Fadzil

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The effect of fatigue on performance and landing mechanics of adolescence taekwondo players by Mohammad Kalantarian, samaneh samadi, ramin beyranvand

“…Aim: The purpose of this research was to investigate the effect of functional fatigue on the performance and landing mechanics of adolescence taekwondo athletes. …”
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