检索结果-内蒙古大学图书馆

Research of simulation of creative stage scene based on the 3DGans technology

Journal of information Hiding and Multimedia Signal processing 2018年第6期9卷 1430-1443页

作者： Zhang, Fuquan Ding, Gangyi Lin, Qing Xu, Lin Li, Zuoyong Li, Lijie Fujian Provincial Key Laboratory of Information Processing and Intelligent Control Minjiang University School of Computer Science & Technology Beijing Institute of Technology Room A9-301 Juyuan Jinshan JiyuanFuzhou350008 China School of Computer Science & Technology Beijing Institute of Technology Room 611 Software Building 5 South Zhongguancun Street Haidian Beijing100081 China College of Foreign Languages Minjiang University Room 303 Building A13 No. 15 Binzhou road Cangshan district JiyuanFuzhou350008 China Innovative Information Industry Research Institute Fujian Normal University Fuqing Brunch of Fujian Normal University Campus County No.1 Longjiang Road FuqingFuzhou350300 China Fujian Provincial Key Laboratory of Information Processing and Intelligent Control Minjiang University 200 Xi-yuan-gong Road Room B201 Administrative Building Minhou350121 China School of Computer Science & Technology Beijing Institute of Technology Room 613 Software Building 5 South Zhongguancun Street Haidian Beijing100081 China

Aiming to the feature of the modern stage scenery, combined with 3DGANs technology, we make research into the creation of creative stage scenes to rapidly display problem scene design, reduce the cost of stage design and the data error of virtual and actual simulated effect of the stage. We improve the data of the creative stage scene at the beginning of the design to increase efficiency of the rehearsal stage to enable the simulation scene more intuitive to the displaying of the stage scene and provide the basis for dynamic management of the stage. In this paper, simulation of virtual reality stage scene will be realized through 3DGANs technology. Firstly, the stage data will be extracted and the data of the creative stage scene will be modified. Secondly, the data of the registration of 3D surface image data on the creative scene in the data will be modified by using genetic algorithm. Finally, the simulation experiments will be conducted by using 3DGANs technology to generate creative stage scenes. The results indicated that simulation of the creative stage scene generated by 3DGANs technology would synchronize with the real-time stage effect in which multi-thread processing can improve processor utilization, shorten the reading time of the video image data, effectively reduce the switching time between different tasks, improve the amount of the amount of throughput and concurrency system and to offer a key support for virtual simulation and dynamic management of stage creative scene based on the 3DGANs technology. © 2018, Ubiquitous International. All rights reserved.

关键词： Genetic algorithms

来源：评论

学校读者我要写书评

暂无评论

Semantic keyword searchable proxy re-encryption for postquantum secure cloud storage

Semantic keyword searchable proxy re-encryption for postquan...

引用

作者： Yang, Yang Zheng, Xianghan Chang, Victor Tang, Chunming College of Mathematics and Computer Science Fuzhou University Fuzhou350108 China Fujian Province University Key Laboratory of Information Security of Network Systems Fuzhou University Fuzhou350108 China Key Laboratory of Information Security School of Mathematics and Information Science Guangzhou University Guangzhou510006 China Fujian Provincial Key Laboratory of Information Processing and Intelligent Control Minjiang University Fuzhou350121 China IBSS Xian Jiaotong-Liverpool University Suzhou215123 United Kingdom

With the advent of cloud computing, more and more consumers prefer to use the cloud services with the pay-as-you-consume mode. The cloud storage brings about great convenience to users, who store data in cloud and access to it using the smart devices anytime and anywhere. Consumers' information should be encrypted to guarantee the data privacy. Flexible searching on ciphertext is a critical challenge to be solved for effective data utilization. In this paper, we propose a novel semantic keyword searchable proxy re-encryption scheme for secure cloud storage. A highlight of this work is that the scheme is quantum attack resistant, while most of the available searchable encryption schemes are not. It supports not only exact keyword search but also synonym keyword search. Moreover, the data owner is capable to delegate his search right to another user using the proxy re-encryption mechanism. In the generation process of re-encryption key, the delegator and delegatee do not need to be interactive with each other. The scheme is also collusion resistant. Under the learning with errors hardness problem, this scheme is proved secure in standard model. Copyright © 2017 John Wiley & Sons, Ltd.

关键词： Semantics

来源：评论

学校读者我要写书评

暂无评论

Association rule analysis for tour route recommendation and application to WCTSNOP

Association rule analysis for tour route recommendation and ...

引用

ISPRS Geospatial Week 2017

作者： Fang, Hui Chen, Chongcheng Lin, Jiaxiang Liu, Xianfeng Fang, Dong Laboratory of Spatial Data Mining and Information Sharing of Ministry of Education Spatial Information Research Centre of Fujian Fuzhou University District Xueyuan Road China Dept. of Computer Science Fujian Provincial Key Laboratory of Information Processing and Intelligent Control Minjiang University Fuzhou University District Xiyuangong Road China College of Computer and Information Sciences Fujian Agriculture and Forestry University Fuzhou China Fuzhou Silviscene Information Technology Co. Ltd. China

The increasing E-tourism systems provide intelligent tour recommendation for tourists. In this sense, recommender system can make personalized suggestions and provide satisfied information associated with their tour cycle. Data mining is a proper tool that extracting potential information from large database for making strategic decisions. In the study, association rule analysis based on FP-growth algorithm is applied to find the association relationship among scenic spots in different cities as tour route recommendation. In order to figure out valuable rules, Kulczynski interestingness measure is adopted and imbalance ratio is computed. The proposed scheme was evaluated on Wangluzhe cultural tourism service network operation platform (WCTSNOP), where it could verify that it is able to quick recommend tour route and to rapidly enhance the recommendation quality. © Authors 2017. CC BY 4.0 License.

关键词： Data mining

来源：评论

学校读者我要写书评

暂无评论

Learning convolutional neural network to maximize Pos@Top performance measure 25

Learning convolutional neural network to maximize Pos@Top pe...

引用

25th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, ESANN 2017

作者： Geng, Yanyan Liang, Ru-Ze Li, Weizhi Wang, Jingbin Liang, Gaoyuan Xu, Chenhao Wang, Jing-Yan Provincial Key Laboratory for Computer Information Processing Technology Soochow University Suzhou215006 China King Abdullah University of Science and Technology Thuwal23955 Saudi Arabia Suning Commerce RandD Center USA Inc. Palo AltoCA94304 United States Information Technology Service Center Intermediate People's Court of Linyi City Linyi China Jiangsu University of Technology Jiangsu213001 China New York University Abu Dhabi Abu Dhabi United Arab Emirates

ISBN: (纸本)9782875870391

In the machine learning problems, the performance measure is used to evaluate the machine learning models. Recently, the number positive data points ranked at the top positions (Pos@Top) has been a popular performance measure in the machine learning community. In this paper, we propose to learn a convolutional neural network (CNN) model to maximize the Pos@Top performance measure. The CNN model is used to represent the multi-instance data point, and a classifier function is used to predict the label from the its CNN representation. We propose to minimize the loss function of Pos@Top over a training set to learn the filters of CNN and the classifier parameter. The classifier parameter vector is solved by the Lagrange multiplier method, and the filters are updated by the gradient descent method alternately in an iterative algorithm. Experiments over benchmark data sets show that the proposed method outperforms the state-of-the-art Pos@Top maximization methods. © ESANN 2017 - Proceedings, 25th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning. All rights reserved.

关键词： Convolution

来源：评论

学校读者我要写书评

暂无评论

A new certificate-based aggregate signature scheme for wireless sensor networks

引用

Journal of information Hiding and Multimedia Signal processing 2018年第5期9卷 1264-1280页

作者： Chen, Jian-Neng Zou, Fu-Min Wu, Tsu-Yang Zhou, Yu-Ping College of computer Minnan Normal University ZhangzhouFujian363000 China Beidou Navigation and Smart Traffic Innovation Center of Fujian Province FuzhouFujian350008 China Fujian Provincial Key Laboratory of Big Data Mining and Applications Fujian University of Technology China National Demonstration Center for Experimental Electronic Information and Electrical Technology Education Fujian University of Technology FuzhouFujian350008 China College of Computer Science and Engineering Shandong University of Science and Technology QingdaoShandong266590 China Key Laboratory of Applied Mathematics Putian University Fujian Province University PutianFujian351100 China

Data transmission is one of the important basic technologies in wireless sensor networks (WSN). Due to the limited energy, storage capacity, computing power and communication ability of sensor nodes, the efficiency of data transmission is greatly limited. Certificate-based aggregate signature scheme provides an efficient way to combine numerous signatures into one short signature. In this paper, we propose a certificate-based aggregate signature scheme in WSN. In the random oracle model and under the computational Diffie-Hellman (CDH) Problem and bilinear Diffie-Hellman (BDH), we demonstrate that our scheme is provably secure against forgery attack. The performance analysis demonstrates that our scheme provides an efficient way for data transmission and is suitable in WSN. © 2018, Ubiquitous International. All rights reserved.

关键词： Data transfer

来源：评论

学校读者我要写书评

暂无评论

FPGA Optimal Implementation of PRINCE against Power Analysis Attacks

FPGA Optimal Implementation of PRINCE against Power Analysis...

引用

ISCC 2017-the 5th International Conference on information Science and Cloud Computing

作者： Yi Zou Lang Li College of Computer Science and Technology Hengyang Normal University Hunan Provincial Key Laboratory of Intelligent Information Processing and Application College of Computer Science and Technology Hengyang Normal University

The algorithm PRINCE proposed in ASIACRYPT 2012 is a lightweight cipher, currently suitable for the implementation on RFID Smart Card of the Io T. It's studied to achieve the optimal implementation of PRINCE encryption algorithm, and to add a fixed random mask to enhance the anti power attacking ability of PRINCE. In this paper, we constructed the same operations into a module called Prince Round, and used counter to control the Prince Round module, while the same round operation runs repeatedly. As a result, it can save registers and effectively reduce the amount of computation. Furthermore, we used a special method by adding the random mask to S-box. The experimental results show that the optimized PRINCE occupies area 9.8% fewer than original PRINCE on FPGA and the encryption with a fixed random mask can run correctly. Last but not least, our research is the first one about the implementation of PRINCE algorithm on FPGA, and can serve as a reference for further application of IOT encryption.

关键词： Matrix FPGA Optimal Implementation of PRINCE against Power Analysis Attacks

来源：评论

学校读者我要写书评

暂无评论

Research on Power Attack Comprehensive Experiment Platform Based on SAKURA-G Hardware Circuit

Research on Power Attack Comprehensive Experiment Platform B...

引用

CENet 2017-the 7th International Conference on computer Engineering and Networks

作者： Ge Jiao Lang Li Yi Zou College of Computer Science and Technology Hengyang Normal UniversityHunan Provincial Engineering Laboratory for Technology of Traditional Settlements DigitalizationHunan Provincial Key Laboratory of Intelligent Information Processing and Application College of Computer Science and Technology Hengyang Normal University

The power attack of the hardware circuit is going through the steps of algorithm writen in FPGA,power consumption,data processing and *** order to solve the problem of the existing power attack experimental platform because the processing steps are too scattered,feature complex operations and other issues,we've thus developed a higher degree of integration of the experimental *** advanced encryption standard(AES) algorithm is taken as an example to illustrate the whole process of implementing the correlation power analysis(CPA)attack on the experimental *** AES algorithm will be downloaded to the SAKURA-G experiment board,acquire the algorithm runtime power leakage,carry out the energy analysis because related attacks on information may leak location,and restore the AES first round of the first byte of the *** results show that the comprehensive experimental platform will integrate these steps into a platform,simplify the operation process,ensure the accuracy of power acquisition,realize the parallel data processing and improve the accuracy and efficiency of power attack.

关键词： CPA AES Research on Power Attack Comprehensive Experiment Platform Based on SAKURA-G Hardware Circuit

来源：评论

学校读者我要写书评

暂无评论

Variational neural machine translation

Variational neural machine translation

引用

2016 Conference on Empirical Methods in Natural Language processing, EMNLP 2016

作者： Zhang, Biao Xiong, Deyi Su, Jinsong Duan, Hong Zhang, Min Provincial Key Laboratory for Computer Information Processing Technology Soochow University Suzhou215006 China Xiamen University Xiamen361005 China

ISBN: (纸本)9781945626258

Models of neural machine translation are often from a discriminative family of encoder-decoders that learn a conditional distribution of a target sentence given a source sentence. In this paper, we propose a variational model to learn this conditional distribution for neural machine translation: a variational encoder-decoder model that can be trained end-to-end. Different from the vanilla encoder-decoder model that generates target translations from hidden representations of source sentences alone, the variational model introduces a continuous latent variable to explicitly model underlying semantics of source sentences and to guide the generation of target translations. In order to perform efficient posterior inference and large-scale training, we build a neural posterior approximator conditioned on both the source and the target sides, and equip it with a reparameterization technique to estimate the variational lower bound. Experiments on both Chinese-English and English-German translation tasks show that the proposed variational neural machine translation achieves significant improvements over the vanilla neural machine translation baselines. © 2016 Association for Computational Linguistics

关键词： Neural machine translation

来源：评论

学校读者我要写书评

暂无评论

Comments on a privacy preserving public auditing mechanism for shared cloud data 17

Comments on a privacy preserving public auditing mechanism f...

引用

4th Multidisciplinary International Social Networks Conference, MISNC 2017

作者： Wu, Tsu-Yang Lin, Yueshan Wang, King-Hang Chen, Chien-Ming Pan, Jeng-Shyang Wu, Mu-En Fujian Provincial Key Laboratory of Big Data Mining and Applications National Demonstration Center for Experimental Electronic Information and Electrical Technology Education Fujian University of Technology Fuzhou350118 China Harbin Institute of Technology Shenzhen Graduate School Shenzhen518055 China Department of Computer Science and Engineering Hong Kong University of Science and Technology Hong Kong Department of Mathematic Soochow University Taipei Taiwan

ISBN: (纸本)9781450348812

Auditing mechanisms are received much attentions from researchers due to the developing of cloud storage. Recently, Wang et al. proposed a privacy preserving public auditing mechanism for shared cloud data with supporting group dynamic. However, we find some security flaws in their mechanism. In this paper, a forgery attack and a data corruption attack are proposed to demonstrate the insecurity. Then, we propose a modified scheme based on their mechanism. The security analysis is demonstrated that our improvement can resist the mentioned two attacks. © 2017 ACM.

关键词： Cloud storage

来源：评论

学校读者我要写书评

暂无评论

Denoising of 3D magnetic resonance images using a residual encoder-decoder wasserstein generative adversarial network

arXiv

引用

arXiv 2018年

作者： Ran, Maosong Hu, Jinrong Chen, Yang Chen, Hu Sun, Huaiqiang Zhou, Jiliu Zhang, Yi College of Computer Science Sichuan University Chengdu610065 China Department of Computer Science Chengdu University of Information Technology Chengdu610225 China Lab of Image Science and Technology School of Computer Science and Engineering Southeast University Nanjing210096 China School of Cyber Science and Engineering Southeast University Nanjing210096 China Ministry of Education Nanjing210096 China Department of Radiology West China Hospital of Sichuan University Chengdu610041 China Guangdong Provincial Key Laboratory of Medical Image Processing Southern Medical University Guangzhou510515 China

Structure-preserved denoising of 3D magnetic resonance imaging (MRI) images is a critical step in medical image analysis. Over the past few years, many algorithms with impressive performances have been proposed. In this paper, inspired by the idea of deep learning, we introduce an MRI denoising method based on the residual encoder-decoder Wasserstein generative adversarial network (RED-WGAN). Specifically, to explore the structure similarity between neighboring slices, a 3D configuration is utilized as the basic processing unit. Residual autoencoders combined with deconvolution operations are introduced into the generator network. Furthermore, to alleviate the oversmoothing shortcoming of the traditional mean squared error (MSE) loss function, the perceptual similarity, which is implemented by calculating the distances in the feature space extracted by a pretrained VGG-19 network, is incorporated with the MSE and adversarial losses to form the new loss function. Extensive experiments are implemented to assess the performance of the proposed method. The experimental results show that the proposed RED-WGAN achieves performance superior to several state-of-the-art methods in both simulated and real clinical data. In particular, our method demonstrates powerful abilities in both noise suppression and structure preservation. Copyright © 2018, The Authors. All rights reserved.

关键词： Magnetic resonance imaging

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：