作者： Zou Y.;Li L.;Zhao H.-H.;Jiao G.

作者机构： [Jiao G.] College of Computer Science and Technology, Hengyang Normal University, Hengyang, 421002, China;Human Provincial Key Laboratory of Intelligent Information Processing and Application, Hengyang, 421002, China;[Zou Y.; Zhao H.-H.; Li L.] College of Computer Science and Technology, Hengyang Normal University, Hengyang, 421002, China, Human Provincial Key Laboratory of Intelligent Information Processing and Application, Hengyang, 421002, China

会议名称： 10th International Conference on Computer Engineering and Networks, CENet 2020

会议时间： 16 October 2020 through 18 October 2020

关键词： Differential power analysis;LED;Lightweight block cipher

摘要： LED algorithm is a new lightweight encryption algorithm proposed in CHES 2011, which is used for IOT to protect the communication security of RFID tags and smart cards. It has been found that it is possible to retrieve secret key of algorithm by appropriate analysis of the devices’s power consumption, and the differential power analysis is the most powerful attack. This paper proposed a method of differential power analysis on LED algorithm. Combined with hardware circuit, it designed and implemented differential power analysis of the LED encryption system. The experimental results show that method which is proposed in this paper was cracked the 64 bits key of LED. Thus, without protection, the cipher LED would be difficult to resist differential power analysis. and according this, We provide a general analysis method of differential power analysis on other lightweight cryptographic algorithms. © 2021, The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

语种： 英文

作者： Li Q.;Li L.;Zhang J.;Zhao J.;Li K.

作者机构： [Li K.; Li Q.; Zhang J.; Zhao J.] Hengyang Normal University, Hengyang, 421002, China;Hunan Provincial Key Laboratory of Intelligent Information Processing and Application, Hengyang, 421002, China;[Li L.] Hengyang Normal University, Hengyang, 421002, China, Hunan Provincial Key Laboratory of Intelligent Information Processing and Application, Hengyang, 421002, China

会议名称： 9th International Conference on Computer Engineering and Networks, CENet2019

会议时间： 18 October 2019 through 20 October 2019

关键词： Diffusion layer;Hankel matrix;Lightweight MDS matrix

摘要： Maximal distance separable (MDS) matrices are used as optimal diffusion layers in many block ciphers and hash functions. Recently, the designers paid more attention to the lightweight MDS matrices because it can reduce the hardware resource. In this paper, we give a new method to construct the lightweight MDS matrices. We provide some theoretical results and two kinds of 4×4 lightweight Hankel MDS matrices. We also prove that the 2s×2s involution Hankel MDS matrix does not exist in finite field. Furthermore, we searched the 4×4 Hankel MDS matrices over GL(4, F2) and GL(8, F2) that have the better s-XOR counts until now. © 2021, Springer Nature Singapore Pte Ltd.

语种： 英文

作者： Lv, Jianlan

期刊： ACM International Conference Proceeding Series,2021年:880-882

通讯作者： Lv, Jianlan(623044261@qq.com)

作者机构： [Lv, Jianlan] Hengyang Normal University, Hunan, China

会议名称： 2nd Asia-Pacific Conference on Image Processing, Electronics and Computers, IPEC 2021

会议时间： 14 April 2021 through 16 April 2021

关键词： Teaching;Critical thinking;English writings;Systematic study;Teaching methods;Western countries;Image processing

摘要： In recent years, process teaching method has become popular in western countries and is highly regarded by many writing teaching and researchers. Process teaching focuses on the cultivation of students' creativity and critical thinking, and focuses on improving students' practical English writing ability, namely, the ability to communicate in written English. This paper makes a systematic study of the background, main features and basic steps of process teaching method, aiming to provide some references for English writing teachers in China. © 2021 ACM.

语种： 英文

作者： Xiaomei Tian,;Huihuang Zhao,

作者机构： College of Computer Science and Technology, Hengyang Normal University, Hengyang, 421002, China;Hunan Provincial Key Laboratory of Intelligent Information Processing and Application, Hengyang, 421002, China;[Tian X.; Zhao H.] College of Computer Science and Technology, Hengyang Normal University, Hengyang, 421002, China, Hunan Provincial Key Laboratory of Intelligent Information Processing and Application, Hengyang, 421002, China

会议名称： The 10th International Conference on Computer Engineering and Networks（CENet2020）

会议时间： 2020-10-16

会议地点： 中国陕西西安

会议论文集名称： Proceedings of the 10th International Conference on Computer Engineering and Networks(CENet2020)

关键词： Constant-weight group coded bloom filter;Data center;Multiple-set membership query

摘要： Multiple-set membership query problem plays a very important role in many network systems, including packet forwarding architectures in big data centers, routing switching devices and internet firewall systems. Many solutions to multiple-set membership query problem are based on Bloom filters. And each of these solutions has its own merits. Some have high query speed and some have good accuracy. But generally, they cannot have both at the same time. In this paper, we propose a probabilistic data structure named constant-weight group coded Bloom Filter (CWGCBF) for fast and accurate multi-set membership query. The key technique in CWGCBF is encoding each element’s set ID to constant weight code, and directly recording this constant-weight code in the bloom filter vector. Experimental results show that in terms of false positive ratio, CWGCBF, Shifting Bloom Filter and Combinatorial Bloom Filter have great advantages to the other compared Bloom filters, and in terms of time efficiency, CWGCBF and ID Bloom Filter are several times faster than the others. © 2021, The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

语种： 中文

作者： Tang S.;Zhao H.;Jiang J.

作者机构： [Tang S.; Zhao H.; Jiang J.] College of Computer Science and Technology, Hengyang Normal University, Hengyang, 421002, China

会议名称： 10th International Conference on Computer Engineering and Networks, CENet 2020

会议时间： 16 October 2020 through 18 October 2020

关键词： RNA;Structure prediction;Tree Adjoining Grammars

摘要： This paper presents a new method for modeling RNA secondary structures based on stochastic tree adjoining grammars. In order to get better predict results, we shows using Stochastic Tree Adjoining Grammars to inference RNA secondary structures. firstly, we expound the tree adjoining grammars and stochasitc model and the operations of TAG tree. Secondly, discusses the key problems for RNA secondary structure prediction using tree adjoining grammars modeling, finally we design a tree adjoining grammars model to predict RNA structure, The experiment choose 8 species sequence from EMBL database, and experimental verification of the validity of the model, the experimental results shows that the tree adjoining grammars in the prediction of RNA sequence structure has long-range correlation, can improve the prediction accuracy. © 2021, The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

语种： 英文

作者： Liu Q.;Liu X.;Li L.;Zhou H.;Zhao H.-H.

作者机构： [Liu Q.] School of Computer and Software, Nanjing University of Information Science and Technology, Nanjing, Jiangsu, China;[Liu X.] School of Computing, Edinburgh Napier University, Edinburgh, United Kingdom;[Li L.; Zhao H.-H.] College of Computer Science and Technology, Hengyang Normal University, Hengyang, Hunan, China;[Zhou H.] Department of Informatics, University of Leicester, Leicester, United Kingdom

会议名称： 9th International Conference on Computer Engineering and Networks, CENet2019

会议时间： 18 October 2019 through 20 October 2019

语种： 英文

作者： 李俊华;陆雨桐;肖敏芝;钱东

作者机构： 衡阳师范学院化学与材料科学学院,湖南衡阳,421008;中南大学化学化工学院,湖南长沙,410083

会议名称： 2019第二十次全国电化学大会

会议时间： 20191025

会议地点： 长沙

会议论文集名称： 2019第二十次全国电化学大会论文集

语种： 中文

作者： Kuang J.;Li L.

作者机构： [Li L.; Kuang J.] College of Computer Science and Technology, Hengyang Normal University, Hengyang, 421002, China

会议名称： 9th International Conference on Computer Engineering and Networks, CENet2019

会议时间： 18 October 2019 through 20 October 2019

关键词： CBS algorithm;Imperception;Smart home;ZigBee

摘要： The smart home has been an emerging industry which combines wireless sensor technology and computer technology. In order to meet the current requirements of ‘automation, comfortableness, energy saving, and safety’ in intelligent home life, we introduce the conception of imperceptibility into smart home system and design the architecture model based on ZigBee’s imperceptible smart home system which based on the ZigBee protocol and the basic architecture of ‘Sea-Net-Cloud.’ The ‘Sea’ means that it has a huge number of terminal applications and we design it by combining perception terminal and a mobile terminal in this paper. The ‘Net’ is a data transmission channel, and this paper focuses on imperceptible network scheme based on ZigBee. The ‘Cloud’ is for cloud data processing. Users’ data are processed through CBS algorithm of private cloud to gradually optimize the users’ habits model, and the system could adjust itself according to the users’ habits to provide service initiatively and make smart home finally smart. © 2021, Springer Nature Singapore Pte Ltd.

语种： 英文

作者： Kangman Li;Ruihua Nie

期刊： Advances in Intelligent Systems and Computing,2021年1143:461-470 ISSN：2194-5357

通讯作者： Li, K.

作者机构： [Nie R.; Li K.] College of Computer Science and Technology, Hengyang Normal University, Hengyang, Hunan 421002, China

通讯机构： [Li, K.] C;College of Computer Science and Technology, China

会议名称： 9th International Conference on Computer Engineering and Networks, CENet2019

会议时间： 18 October 2019 through 20 October 2019

会议论文集名称： Proceedings of the 9th International Conference on Computer Engineering and Networks

关键词： Face recognition;Local binary patterns;PCA

摘要： In the face recognition system on campus, the influence of time and age change on face features can be neglected. This paper proposes a dimension reduction algorithm based on principal component analysis (PCA) algorithm and local binary patterns (LBP), and it is applied to campus face recognition APP. It is proved that the algorithm can significantly improve the speed and ensure its recognition accuracy in the application of small changes in the face and has certain reference value for practical application. © 2021, Springer Nature Singapore Pte Ltd.

语种： 英文

作者： Sixin Tang;Shiting Li;Jing Chen

期刊： Advances in Intelligent Systems and Computing,2021年1143:311-319 ISSN：2194-5357

通讯作者： Tang, S.

作者机构： [Tang S.; Li S.; Chen J.] College of Computer Science and Technology, Hengyang Normal University, Hengyang, 421002, China

通讯机构： [Tang, S.] C;College of Computer Science and Technology, China

会议名称： 9th International Conference on Computer Engineering and Networks, CENet2019

会议时间： 18 October 2019 through 20 October 2019

会议论文集名称： Proceedings of the 9th International Conference on Computer Engineering and Networks

关键词： Convolution neural network;RNA;Structure prediction

摘要： To get better predicted results, we show using convolution neural network inference RNA structure with pseudoknots. First, we expound the deep learning and convolution model and algorithm of the neural network theory, then discuss the key problems for RNA secondary structure prediction using convolution neural network modeling, finally, we design a convolutional neural network to predict RNA structure prediction model and experimental verification of the validity of the model, and the experimental results show that the convolution neural network in the prediction of RNA sequence structure has long-range correlation, can improve the prediction accuracy, especially when RNA sequences with pseudoknots structure. © 2021, Springer Nature Singapore Pte Ltd.

语种： 英文

作者： Ying Wang;Yaqi Sun;Qinyun Liu

期刊： Advances in Intelligent Systems and Computing,2021年1143:471-479 ISSN：2194-5357

通讯作者： Wang, Y.

作者机构： [Wang Y.; Liu Q.; Sun Y.] College of Computer Science and Technology, Hengyang Normal University, Hengyang, 421008, China

通讯机构： [Wang, Y.] C;College of Computer Science and Technology, China

会议名称： 9th International Conference on Computer Engineering and Networks, CENet2019

会议时间： 18 October 2019 through 20 October 2019

会议论文集名称： Proceedings of the 9th International Conference on Computer Engineering and Networks

关键词： Advertising platform;Minimum weighted vertex covering;Random fuzzy theory;Uncertain environment

摘要： A classical problem in combinatorial optimization is the minimum weighted vertex covering problem. In practical applications, the weights on vertices are usually composed of some uncertain factors. This paper combines the stochastic fuzzy theory, uses the backtracking method to search subset tree to solve the minimum weighted vertex covering, and finally obtains the key points of setting up the advertising platform and solves the problem of how to set up the advertising platform reasonably under the stochastic fuzzy uncertain environment. © 2021, Springer Nature Singapore Pte Ltd.

语种： 英文

作者： Chenglong Wang;Tangle Peng;Longzhi Hu;Guanjun Liu

期刊： Advances in Intelligent Systems and Computing,2021年 1274: 158-167 ISSN：2194-5357

通讯作者： Wang, C.

作者机构： [Peng T.; Liu G.; Wang C.] College of Computer Science and Technology, Hengyang Normal University, Hengyang, 421002, China;[Hu L.] Zhongxing Telecommunication Equipment Corporation, Shenzhen, 518000, China

通讯机构： [Wang, C.] C;College of Computer Science and Technology, China

会议名称： 10th International Conference on Computer Engineering and Networks, CENet 2020

会议时间： 16 October 2020 through 18 October 2020

会议论文集名称： The 10th International Conference on Computer Engineering and Networks

关键词： CenSurE features;FREAK descriptor;Unmanned aerial vehicle scene matching algorithm

摘要： The traditional local invariant features scene matching algorithms have many redundant points, poor real-time and Low anti-geometric transformation. So we propose an unmanned aerial vehicle scene matching algorithm based on CenSurE features and FREAK descriptor. Steps of the algorithm are as follows: use the CenSurE-star operator to extract the feature points, calculate feature vectors by FREAK descriptors, then complete matching process through KNN ratio method, finally use RANSAC location model to get image transform relations, latitude and longitude. Experiments show that: compared with SIFT, SURF, ORB algorithms, this algorithm not only has better robustness for various transformation, but also greatly shorten the processing time of about 86ms. The positioning error within 0.6 pixel, scale error within 0.02 times, rotation Angle error within 0.04°. © 2021, The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

语种： 英文

作者： 谭晓丽

作者机构： 衡阳师范学院

会议名称： 中国英汉语比较研究会第十四次全国学术研讨会暨2021英汉语比较与翻译研究国际研讨会

会议时间： 2021-10-22

会议地点： 中国湖南长沙

关键词： 典籍英译;人文视域

摘要： 中国思想典籍英译的历史悠久,翻译实践十分丰富,发生了不少翻译活动、重要事件,涌现了众多的翻译人物和翻译作品,积累了许多翻译经验和理论话语。本文在梳理当下中国思想典籍英译研究现状的基础上,提出了运用数字人文的方法重构中国思想典籍英译史的意义、内容和方法,旨在拓展史料的发掘和整理,丰富译史的叙述视角、研究内容,增强史料解释和分析的客观性、科学性和全面性。

语种： 中文

作者： Jing Chen;Zhiping Chen;Linai Kuang,;Xianyou Zhu;Sai Zou,;...

作者机构： [Chen Z.] Changsha University, Changsha, China;[Xuan Z.; Chen J.] Xiangtan University, Xiangtan, China;[Zhu X.] Hengyang Normal University, Hengyang, China;Chongqing College of Electronic and Engineering, Chongqing, China;[Zou S.] Hengyang Normal University, Hengyang, China, Chongqing College of Electronic and Engineering, Chongqing, China

会议名称： The 9th International Conference on Computer Engineering and Networks（CENet2019）

会议时间： 2019-10-18

会议地点： 中国湖南长沙

会议论文集名称： Proceedings of the 9th International Conference on Computer Engineering and Networks(CENet2019)

关键词： Cryptography;Data sharing;Genomics;Privacy

摘要： Biomedical research is increasingly dependent on a large number of genomic and clinical data, and in order to protect sensitive information from being exposed to multiple partners, these data are often encrypted before being outsourced to third-party cloud service providers with abundant storage and computing resources. However, these third parties will become potential targets to be violated. Hence, in this paper, a novel method is proposed for secure sharing and management of genomic and clinical data on an untruthful cloud server firstly, in which the Hamming codes and HashMap are adopted to ensure the privacy and integrity of biomedical data during counting queries. And then, the performance of our newly proposed method is evaluated on the basis of the existing single-nucleotide polymorphism (SNP) sequence database, and simulation results show that the new method has good encryption efficiency and realizability, and can guarantee the privacy and integrity of biomedical data effectively while being implemented in counting queries. © 2021, Springer Nature Singapore Pte Ltd.

语种： 中文

作者： Qiuping Li;Lang Li

期刊： 2021 IEEE 3rd International Conference on Computer Science and Educational Informatization (CSEI),2021年:57-60

作者机构： [Qiuping Li; Lang Li] College of Computer Science and Technology, Hengyang Normal University, Hengyang, China

会议名称： 2021 IEEE 3rd International Conference on Computer Science and Educational Informatization (CSEI)

会议时间： 18 June 2021

会议地点： Xinxiang, China

会议论文集名称： 2021 IEEE 3rd International Conference on Computer Science and Educational Informatization (CSEI)

关键词： graduate students;lightweight block cipher;innovation ability;teaching reform

摘要： Lightweight block cipher technology can solve the problem of data security on resource-constrained devices, so as to produce smart devices that are more convenient for people's life and promote the development of 5G (5th generation wireless systems) era. These social demands are often inseparable from the efforts of innovative talents in lightweight block cipher. This paper mainly discusses how to train the innovative ability of graduate students through the teaching of lightweight block cipher course. This paper mainly discusses how to cultivate and improve the innovation ability of the graduate students in the course of lightweight block cipher. This paper constructed the training system of graduate students' innovation ability in the lightweight block cipher course from the several aspects about provoking the students learning interest in lightweight block cipher, constructing rational theoretical knowledge framework, real-time updating the practical content, strengthening the team cooperation, construction of specific, so that the training of the innovative thinking and innovation ability of the graduate students throughout the whole teaching process.

语种： 英文

作者： Zhong Chen;Xiaomei Tian;Tianqi Lei;Junyao Chen

期刊： Advances in Intelligent Systems and Computing,2021年1143:135-143 ISSN：2194-5357

通讯作者： Chen, Z.

作者机构： College of Computer Science and Technology, Hengyang Normal University, Hengyang, 421002, China;Hunan Provincial Key Laboratory of Intelligent Information Processing and Application, Hengyang, 421002, China;[Chen J.] Department of Computer Engineering, Ajou University, Suwon, 16499, South Korea;[Tian X.; Chen Z.; Lei T.] College of Computer Science and Technology, Hengyang Normal University, Hengyang, 421002, China, Hunan Provincial Key Laboratory of Intelligent Information Processing and Application, Hengyang, 421002, China

通讯机构： [Chen, Z.] C;College of Computer Science and Technology, China

会议名称： 9th International Conference on Computer Engineering and Networks, CENet2019

会议时间： 18 October 2019 through 20 October 2019

会议论文集名称： Proceedings of the 9th International Conference on Computer Engineering and Networks

关键词： Adaptive control;Complex networks;Coupling matrix

摘要： In this paper, synchronization of both non-identical unknown network and identical known network can be considered. Based on Lyapunov stability theory, for the case of non-identical or identical network, synchronization criteria between drive-response networks are obtained, and both the uncertain parameters and unknown coupling configuration matrix are be identified or constructed. Meanwhile, the coupling matrix may be free. The proposed synchronization scheme is simple and easy to realize. Finally, three illustrative examples show the effectiveness of presented control schemes. © 2021, Springer Nature Singapore Pte Ltd.

语种： 英文

作者： Jiang J.;Tang S.

作者机构： College of Computer Science and Technology, Hengyang Normal University, Hengyang, 421002, China;Hunan Provincial Key Laboratory of Intelligent Information Processing and Application, Hengyang, 421002, China;[Tang S.; Jiang J.] College of Computer Science and Technology, Hengyang Normal University, Hengyang, 421002, China, Hunan Provincial Key Laboratory of Intelligent Information Processing and Application, Hengyang, 421002, China

会议名称： 10th International Conference on Computer Engineering and Networks, CENet 2020

会议时间： 16 October 2020 through 18 October 2020

关键词： Distributed;PSO algorithm;Task scheduling;Vulnerability scanning

摘要： Network threats caused by system vulnerabilities is increasing gradually, the distributed vulnerability scanning system can scan large-scale and complex networks and report the vulnerability information. Task scheduling is one of the core components in a distributed system. In this paper, we use dynamic optimization algorithms to improve the task scheduling efficiency of distributed vulnerability scanning system, we propose a PSO-based task scheduling scheme and improves the search ability of particles by adjusting algorithm parameters. We compared the time consume when using existing ‘Resource Aware Scheduling algorithm’ (RASA) with the basic particle swarm optimization (PSO) algorithm and the improved particle swarm optimization (IPSO) algorithm. Our results show that IPSO has better performance than other scheduling methods. © 2021, The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

语种： 英文

作者： Qingyun Liu;Feng Zhang;Mugang Lin;Ying Wang

期刊： Advances in Intelligent Systems and Computing,2021年 1143: 375-382 ISSN：2194-5357

通讯作者： Liu, Q.

作者机构： [Zhang F.; Wang Y.; Liu Q.; Lin M.] College of Computer Science and Technology, Hengyang Normal University, Hengyang, China

通讯机构： [Liu, Q.] C;College of Computer Science and Technology, China

会议名称： 9th International Conference on Computer Engineering and Networks, CENet2019

会议时间： 18 October 2019 through 20 October 2019

会议论文集名称： Proceedings of the 9th International Conference on Computer Engineering and Networks

关键词： GANs;Image style transfer;Loss function;Portrait style transfer

摘要： Portrait style transfer is a hot and practical direction for in-depth learning. As a deep learning model, Generative Adversarial Networks (GANs) have been widely used in image style conversion. We study Generative Adversarial Networks as a solution to the portrait style transfer problem. Here, we use GANs to recognize facial features. With large training in the conversion from plain to cosmetic drawings, this algorithm can make up the plain faces better intelligently. The experimental results provide the representation of facial image features by GANs and show the ability of character transformation and operation of portrait style. © 2021, Springer Nature Singapore Pte Ltd.

语种： 英文

作者： Lang Li;Qiuping Li

期刊： 2021 IEEE 3rd International Conference on Computer Science and Educational Informatization (CSEI),2021年:1-4

作者机构： [Lang Li; Qiuping Li] College of Computer Science and Technology, Hengyang Normal University, Hengyang, China

会议名称： 2021 IEEE 3rd International Conference on Computer Science and Educational Informatization (CSEI)

会议时间： 18 June 2021

会议地点： Xinxiang, China

会议论文集名称： 2021 IEEE 3rd International Conference on Computer Science and Educational Informatization (CSEI)

关键词： local universities;graduate students majoring in computer science;scientific research and innovation ability;training system

摘要： Computer major is an engineering major, which is a typical subject facing the engineering application. However, training of scientific research and innovation ability also needs to be emphasized for the cultivation of postgraduate students. Scientific research and innovation ability can effectively promote the development of graduate students after they go to work. At present, there are many deficiencies in the cultivation of scientific research and innovation ability of computer specialty graduate students in local universities. This paper discusses the construction of the cultivation system of scientific research and innovation ability of computer specialty graduate students in local universities based on the authors' experience in the cultivation of graduate students.

语种： 英文

作者： Wang Y.;Liu Q.;Sun Y.;Zhang F.;Zhu Y.

作者机构： [Zhu Y.] College of Computer Science and Technology, Hengyang Normal University, Hengyang, 421002, China;Hunan Provincial Key Laboratory of Intelligent Information Processing and Application, Hengyang, 421002, China;[Liu Q.; Zhang F.; Sun Y.; Wang Y.] College of Computer Science and Technology, Hengyang Normal University, Hengyang, 421002, China, Hunan Provincial Key Laboratory of Intelligent Information Processing and Application, Hengyang, 421002, China

会议名称： 10th International Conference on Computer Engineering and Networks, CENet 2020

会议时间： 16 October 2020 through 18 October 2020

关键词： Handwritten digit recognition;Image preprocessing;K-nearest neighbor algorithm

摘要： In this paper, a handwritten digit recognition system based on K-nearest neighbor algorithm is designed and implemented. By analyzing the application principle and steps of k-nearest neighbor algorithm in machine learning classifier, we design handwritten digit recognition in Python language. In order to improve the accuracy and accuracy of handwritten character recognition, the method of smooth denoising and character segmentation methods are used to preprocess the data, extract the structure and statistical features. The experiments had shown that the accuracy of the algorithm for handwritten character recognition can reach over 97%. © 2021, The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

语种： 英文