The strategy design and closed-loop stability of networked control systems under unbounded denial of service (DoS) attacks are probed. A multi-path switching protection strategy is firstly designed by noticing the usually available multiple paths in data communication networks. The strategy consists of a DoS attack detection module at the actuator side to identify DoS attacks from normal data packet dropouts, and a multi-path switching module at the sensor side to effectively switch the data transmission path when necessary. Then, the sufficient conditions for the closed-loop system being global mean square asymptotic stability are given, with a corresponding controller gain design method. Numerical examples illustrate the effectiveness of the proposed approach.
{"title":"Multi-path switching protection for networked control systems under unbounded DoS attacks","authors":"Zhu Qiaohui, Liang Qipeng, Kang Yu, Zhao Yunbo","doi":"10.52396/JUST-2020-1137","DOIUrl":"https://doi.org/10.52396/JUST-2020-1137","url":null,"abstract":"The strategy design and closed-loop stability of networked control systems under unbounded denial of service (DoS) attacks are probed. A multi-path switching protection strategy is firstly designed by noticing the usually available multiple paths in data communication networks. The strategy consists of a DoS attack detection module at the actuator side to identify DoS attacks from normal data packet dropouts, and a multi-path switching module at the sensor side to effectively switch the data transmission path when necessary. Then, the sufficient conditions for the closed-loop system being global mean square asymptotic stability are given, with a corresponding controller gain design method. Numerical examples illustrate the effectiveness of the proposed approach.","PeriodicalId":17548,"journal":{"name":"Journal of University of Science and Technology of China","volume":"47 1","pages":"22"},"PeriodicalIF":0.0,"publicationDate":"2021-05-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72927012","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"A cognitive diagnostic framework for computer science education based on probability graph model","authors":"Huang Xinying, He Yu, Sun Guangzhong","doi":"10.52396/JUST-2020-0007","DOIUrl":"https://doi.org/10.52396/JUST-2020-0007","url":null,"abstract":"","PeriodicalId":17548,"journal":{"name":"Journal of University of Science and Technology of China","volume":"64 1","pages":"12"},"PeriodicalIF":0.0,"publicationDate":"2021-05-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89760597","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"MOVIE: Mesh oriented video inpainting network","authors":"Liu Sen, Zhan Zhizheng, Yu Tao, Chen Zhibo","doi":"10.52396/JUST-2020-0022","DOIUrl":"https://doi.org/10.52396/JUST-2020-0022","url":null,"abstract":"","PeriodicalId":17548,"journal":{"name":"Journal of University of Science and Technology of China","volume":"22 1","pages":"1"},"PeriodicalIF":0.0,"publicationDate":"2021-01-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73142029","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
He Haonan, Ren Wei, Wang Zuohang, Zhao Chenyong, Wang Shanyong, Ma Fei
{"title":"Effect of personal carbon trading on EV adoption behavior based on a stochastic Petri net","authors":"He Haonan, Ren Wei, Wang Zuohang, Zhao Chenyong, Wang Shanyong, Ma Fei","doi":"10.52396/JUST-2020-0024","DOIUrl":"https://doi.org/10.52396/JUST-2020-0024","url":null,"abstract":"","PeriodicalId":17548,"journal":{"name":"Journal of University of Science and Technology of China","volume":"52 1","pages":"53"},"PeriodicalIF":0.0,"publicationDate":"2021-01-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84419930","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
: Correctly identifying the subgroups in a heterogeneous population has gained increasing popularity in modern big data applications since studying the heterogeneous effect can eliminate the impact of individual differences and make the estimation results more accurate. Despite the fast growing literature , most existing methods mainly focus on the heterogeneous univariate regression and how to precisely identify subgroups in face of multiple responses remains unclear. Here , we develop a new methodology for heterogeneous multi-response regression via a concave pairwise fusion approach , which estimates the coefficient matrix and identifies the subgroup structure jointly. Besides , we provide theoretical guarantees for the proposed methodology by establishing the estimation consistency. Our numerical studies demonstrate the effectiveness of the proposed method.
{"title":"Subgroup analysis for multi-response regression","authors":"Wu Jie, Z. Jia, Zheng Zemin","doi":"10.52396/just-2021-0053","DOIUrl":"https://doi.org/10.52396/just-2021-0053","url":null,"abstract":": Correctly identifying the subgroups in a heterogeneous population has gained increasing popularity in modern big data applications since studying the heterogeneous effect can eliminate the impact of individual differences and make the estimation results more accurate. Despite the fast growing literature , most existing methods mainly focus on the heterogeneous univariate regression and how to precisely identify subgroups in face of multiple responses remains unclear. Here , we develop a new methodology for heterogeneous multi-response regression via a concave pairwise fusion approach , which estimates the coefficient matrix and identifies the subgroup structure jointly. Besides , we provide theoretical guarantees for the proposed methodology by establishing the estimation consistency. Our numerical studies demonstrate the effectiveness of the proposed method.","PeriodicalId":17548,"journal":{"name":"Journal of University of Science and Technology of China","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88240174","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
: High-frequency price movement prediction is to predict the direction ( e. g. up , unchanged or down ) of the price change in short time ( e. g. one minute ) . It is challenging to use historical high-frequency transaction data to predict price movement because their relation is noisy , nonlinear and complex. We propose an end-to-end multitask method with two targets to improve high-frequency price movement prediction. Specifically , the proposed method introduces an auxiliary target ( high-frequency rate of price change ), which is highly related with the main target ( high-frequency price movement ) and is useful to improve the high-frequency price movement prediction. Moreover , each task has a feature extractor based on recurrent neural network and convolutional neural network to learn the noisy , nonlinear and complex temporal-spatial relation between the historical transaction data and the two targets. Besides , the shared parts and task-specific parts of each task are separated explicitly to alleviate the potential negative transfer caused by the multitask method. Moreover , a gradient balancing approach is adopted to use the close relation between two targets to filter the temporal-spatial dependency learned from the inconsistent noise and retain the dependency learned from the consistent true information to improve the high-frequency price movement prediction. The experimental results on real-world datasets show that the proposed method manages to utilize the highly related auxiliary target to help the feature extractor of the main task to learn the temporal-spatial dependency with more generalization to improve high-frequency price movement prediction. Moreover , the auxiliary target ( high-frequency rate of the price change ) not only improves the generalization of overall temporal-spatial dependency learned by the whole feature extractor but also improve temporal-spatial dependency learned by the different parts of the feature extractor.
{"title":"An end-to-end multitask method with two targets for high-frequency price movement prediction","authors":"Yulian Ma, Wenquan Cui","doi":"10.52396/just-2021-0052","DOIUrl":"https://doi.org/10.52396/just-2021-0052","url":null,"abstract":": High-frequency price movement prediction is to predict the direction ( e. g. up , unchanged or down ) of the price change in short time ( e. g. one minute ) . It is challenging to use historical high-frequency transaction data to predict price movement because their relation is noisy , nonlinear and complex. We propose an end-to-end multitask method with two targets to improve high-frequency price movement prediction. Specifically , the proposed method introduces an auxiliary target ( high-frequency rate of price change ), which is highly related with the main target ( high-frequency price movement ) and is useful to improve the high-frequency price movement prediction. Moreover , each task has a feature extractor based on recurrent neural network and convolutional neural network to learn the noisy , nonlinear and complex temporal-spatial relation between the historical transaction data and the two targets. Besides , the shared parts and task-specific parts of each task are separated explicitly to alleviate the potential negative transfer caused by the multitask method. Moreover , a gradient balancing approach is adopted to use the close relation between two targets to filter the temporal-spatial dependency learned from the inconsistent noise and retain the dependency learned from the consistent true information to improve the high-frequency price movement prediction. The experimental results on real-world datasets show that the proposed method manages to utilize the highly related auxiliary target to help the feature extractor of the main task to learn the temporal-spatial dependency with more generalization to improve high-frequency price movement prediction. Moreover , the auxiliary target ( high-frequency rate of the price change ) not only improves the generalization of overall temporal-spatial dependency learned by the whole feature extractor but also improve temporal-spatial dependency learned by the different parts of the feature extractor.","PeriodicalId":17548,"journal":{"name":"Journal of University of Science and Technology of China","volume":"161 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77210629","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
: The deletion-restriction method was used to classify hyperplane arrangements with the top degree Betti number of its complements being small.
:用删除-约束方法对补元的顶次Betti数较小的超平面排列进行分类。
{"title":"Hyperplane arrangement complement with top degree Betti number being small","authors":"Liang Fenglin","doi":"10.52396/just-2020-1119","DOIUrl":"https://doi.org/10.52396/just-2020-1119","url":null,"abstract":": The deletion-restriction method was used to classify hyperplane arrangements with the top degree Betti number of its complements being small.","PeriodicalId":17548,"journal":{"name":"Journal of University of Science and Technology of China","volume":"14 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87828871","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
: Our research proposes a new scheme to build a controlled-NOT ( C-NOT ) gate between two adjacent nitrogen-vacancy ( NV ) color centers in diamond , using electric dipole coupling between adjacent NVs and selective resonant laser excitation. The electric dipole coupling between two NVs causes the state dependent energy shift. This allows to apply resonant laser excitation to realize the C-phase gate. Combined with a single qubit operation , C-NOT gate can be implemented quickly. Between two adjacent 10 nm NVs , the C-NOT gate can operate up to 120 ns faster than the traditional magnetic dipole coupling method by 2 magnitudes. In order to reduce the effect of a spontaneous emission , we propose to use a non-resonant cavity to suppress the spontaneous emission. The simulation results show that the C-phase gate fidelity can reach 98 . 88 % . Finally , the scheme is extended to a one-dimensional NV spin chain.
{"title":"An ultra-fast C-NOT gate based on electric dipole coupling between nitrogen-vacancy color centers","authors":"Shunyang Shi, Wentao Ji, Wang Ya, Jiangfeng Du","doi":"10.52396/just-2020-0039","DOIUrl":"https://doi.org/10.52396/just-2020-0039","url":null,"abstract":": Our research proposes a new scheme to build a controlled-NOT ( C-NOT ) gate between two adjacent nitrogen-vacancy ( NV ) color centers in diamond , using electric dipole coupling between adjacent NVs and selective resonant laser excitation. The electric dipole coupling between two NVs causes the state dependent energy shift. This allows to apply resonant laser excitation to realize the C-phase gate. Combined with a single qubit operation , C-NOT gate can be implemented quickly. Between two adjacent 10 nm NVs , the C-NOT gate can operate up to 120 ns faster than the traditional magnetic dipole coupling method by 2 magnitudes. In order to reduce the effect of a spontaneous emission , we propose to use a non-resonant cavity to suppress the spontaneous emission. The simulation results show that the C-phase gate fidelity can reach 98 . 88 % . Finally , the scheme is extended to a one-dimensional NV spin chain.","PeriodicalId":17548,"journal":{"name":"Journal of University of Science and Technology of China","volume":"31 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75557428","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Wan Liang, Qiaoqiao Zheng, Wenpei Fang, Chengyuan Wang, Shanyong Wang
: How to promote the change of the development mode through corporate green innovations , to realize the balance between economic and social development and environmental quality is an urgent and important research topic. In this sense , the empirical test of the corporate green innovation behaviors is not only among the key interests of academics , but also has strong policy implications. Different from the previous research on it , this paper attempts to start from the new research perspective of peer effects , uses the research history of corporate green innovation behaviors as an entry point , systematically sorts out and analyzes the influencing factors , the mechanism and peer evolution that affect the corporate green innovation behavior. On the basis of this , an integrated theoretical framework is established , and some certain reference for the development of relevant research on corporate green innovation behaviors has been provided. This paper aims to broaden the research perspective of corporate green innovation behaviors , enrich and improve corporate green innovation theories and methods. The research results will help reveal the “ black box ” of green innovation activities , and provide government guidance for the diffusion of green innovations.
{"title":"A literature review of corporate green innovation behavior from the perspective of peer effect and prospect: An integrated theoretical framework","authors":"Wan Liang, Qiaoqiao Zheng, Wenpei Fang, Chengyuan Wang, Shanyong Wang","doi":"10.52396/just-2021-0048","DOIUrl":"https://doi.org/10.52396/just-2021-0048","url":null,"abstract":": How to promote the change of the development mode through corporate green innovations , to realize the balance between economic and social development and environmental quality is an urgent and important research topic. In this sense , the empirical test of the corporate green innovation behaviors is not only among the key interests of academics , but also has strong policy implications. Different from the previous research on it , this paper attempts to start from the new research perspective of peer effects , uses the research history of corporate green innovation behaviors as an entry point , systematically sorts out and analyzes the influencing factors , the mechanism and peer evolution that affect the corporate green innovation behavior. On the basis of this , an integrated theoretical framework is established , and some certain reference for the development of relevant research on corporate green innovation behaviors has been provided. This paper aims to broaden the research perspective of corporate green innovation behaviors , enrich and improve corporate green innovation theories and methods. The research results will help reveal the “ black box ” of green innovation activities , and provide government guidance for the diffusion of green innovations.","PeriodicalId":17548,"journal":{"name":"Journal of University of Science and Technology of China","volume":"33 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84448530","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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