期刊：
Journal of Visual Communication and Image Representation,2016年39:51-57 ISSN：1047-3203
通讯作者：
Liu, Yuling(yuling_liu@126.com)
作者机构：
[Qu, Xinxin; Liu, Yuling] College of Computer Science and Electronic Engineering, Hunan University, Changsha, 410082, China;[Xin, Guojiang] College of Management and Information Engineering, Hunan University of Chinese Medicine, Changsha, 410082, China
关键词：
Reversible data hiding;Image encryption;The medical image;ROI-based;LSB substitution
摘要：
A novel ROI-based reversible data hiding scheme in encrypted medical images is proposed. Firstly, a content owner partitions an original medical image into the region of interest (ROI) and the region of noninterest (RONI), and then encrypts the image using an encryption key. A data-hider concatenates the least significant bits (LSB) of the encrypted ROI and Electronic Patient Record (EPR), and then embeds the concatenated data into the encrypted image by LSB substitution algorithm. With the encrypted medical image containing the embedded data, the receiver can extract the embedded data with the data-hiding key; if the receiver has the encryption key, a medical image similar to the original image can be obtained by directly decrypting the encrypted medical image; if the receiver has both the data-hiding key and the encryption key, the embedded data can be extracted without any error and ROI can be losslessly recovered after extracting the embedded data. (C) 2016 Elsevier Inc. All rights reserved.
摘要：
Predicting protein function at the proteomic-scale is one of the fundamental goals in cell biology and proteomics. In this paper, we proposed a new method for characterizing protein sequences the Weighted Segmented Pseudo-amino acid composition Moment Vector (W-SPsAA-MV). From protein sequences, the encoding method of W-SPsAA-MV is applied to protein functional class prediction associated with the nearest neighbor algorithm (NNA) and covariant discriminant (CD) classifier. The experiment results show that our new method is efficient to predict functional class of query proteins when protein-protein interaction information is limited.
期刊：
Journal of the Chinese Institute of Engineers,2015年38(3):391-398 ISSN：0253-3839
通讯作者：
Liu, Yuling
作者机构：
[Liu, Yuling; Zhu, Yinghong] College of Computer Science and Electronic Engineering, Hunan University, Changsha, Hunan 410082, China;[Xin, Guojiang] School of Management and Information, Hunan University of Chinese Medicine, Changsha, Hunan 410208, China
通讯机构：
[Liu, Yuling] Hunan Univ, Coll Comp Sci & Elect Engn, Changsha 410082, Hunan, Peoples R China.;College of Computer Science and Electronic Engineering, Hunan University, Changsha, Hunan 410082, China
摘要：
A robust zero-watermarking algorithm is proposed based on merging features of sentences for Chinese text document authentication. In the scheme, a text is first segmented into sets of sentences, where a semantic code for every word can be obtained. Then the sentence entropy is calculated by the frequency of semantic codes, and the sentence relevance is calculated by the semantic similarity between words through the tree structure of words in Tongyici Cilin. By employing the sentence entropy, the sentence relevance, and the sentence length, a weighting function is used to obtain the final weight of each sentence. The nouns and verbs of the high weight sentences are selected to construct a watermark, which is encrypted and registered with a trusted third party called Certificate Authority (CA). To resolve disputes, the similarity between the watermark generated from the suspicious text and the watermark from CA is calculated. The experimental results show that the proposed algorithm offers better performance in terms of imperceptibility and robustness than other available algorithms.
期刊：
JOURNAL OF COMPUTATIONAL AND THEORETICAL NANOSCIENCE,2014年11(10):2109-2114 ISSN：1546-1955
通讯作者：
Cao, Zhi
作者机构：
[Chen, Haowen; Li, Man; Cao, Zhi; Li, Xiong] College of Information Science and Engineering, Hunan University, Changsha, Hunan, 410082, China;[Li, Man] College of Management and Information Engineering, Hunan University of Chinese Medicine, Changsha, Hunan, 410208, China
期刊：
IEICE Transactions on Information and Systems,2015年E98D(4):769-774 ISSN：0916-8532
通讯作者：
Liu, Yuling
作者机构：
[Liu, Yuling; Qu, Xinxin; Liu, Peng] College of Computer Science and Electronic Engineering, Hunan University, Changsha, China;[Xin, Guojiang] College of Management and Information Engineering, Hunan University of Chinese Medicine, Changsha, China
关键词：
Electronic patient record - Prediction-error expansions - Recovery information - Region of non interests - Reversible data hiding - ROI-based - Tamper localization - The region of interest (ROI)
期刊：
JOURNAL OF COMPUTATIONAL AND THEORETICAL NANOSCIENCE,2015年12(9):2091-2094 ISSN：1546-1955
通讯作者：
Liu, Yuling
作者机构：
[Liu, Yuling; Yang, Ting] College of Information Science and Engineering, Hunan University, Changsha, China;[Xin, Guojiang] College of Management and Information Engineering, Hunan University of Chinese Medicine, Changsha, China
摘要：
A robust image hashing method based on radon transform and invariant features is proposed for image authentication, image retrieval, and image detection. Specifically, an input image is firstly converted into a counterpart with a normalized size. Then the invariant centroid algorithm is applied to obtain the invariant feature point and the surrounding circular area, and the radon transform is employed to acquire the mapping coefficient matrix of the area. Finally, the hashing sequence is generated by combining the feature vectors and the invariant moments calculated from the coefficient matrix. Experimental results show that this method not only can resist the normal image processing operations, but also some geometric distortions. Comparisons of receiver operating characteristic (ROC) curve indicate that the proposed method outperforms some existing methods in classffication between perceptual robustness and discrimination.
作者机构：
[胡志刚] School of Software, Central South University, Changsha 410083, China;[丁长松; 王志英] College of Computer, National University of Defense Technology, Changsha 410073, China;[丁长松] School of Administration and Information Engineering, Hunan University of Chinese Medicine, Changsha 410208, China
期刊：
Journal of Computational and Theoretical Nanoscience,2015年12(10):3658-3661 ISSN：1546-1955
通讯作者：
Peng, Yingying
作者机构：
[Li, Kenli; Peng, Yingying] College of Information Science and Engineering, Hunan University, Changsha, Hunan, China;[Peng, Yingying; Li, Man] College of Management and Information Engineering, Hunan University of Chinese Medicine, Changsha, Hunan, China
作者机构：
[丁长松; 王志英] College of Computer, National University of Defense Technology, Changsha, 410073, China;[丁长松; 梁杨] School of Management and Information Engineering, Hunan University of Chinese Medicine, Changsha, 410208, China
关键词：
网格计算;协同预留;QoS满意度;预留策略
摘要：
针对动态网格资源服务的不确定性问题,提出一种可量化分析资源服务QoS (quality of service)的多资源协同预留策略.该策略基于对运行在资源上的网格任务QoS指标分析,得出QoS满意度量化、归一化方法,建立资源服务QoS与预留容量之间的函数关系,并以市场经济环境为背景,分析任务费用约束下资源价格与预留容量之间的关系,求解得出可均衡负载的多资源节点协同预留方案.理论分析给出了策略的有效性证明和算法,仿真实验采用真实网格系统中的任务负载信息作为实验负载,在较大规模的模拟网格系统中检验了所提出的预留策略的性能表现.实验结果显示,该策略在接纳任务数、资源利用率和任务违约率方面的性能表现显著优于传统的预留策略.
作者机构：
[Liu, Yuling; Li, Qi] College of Computer Science and Electronic Engineering, Hunan University, Changsha, 410082, China;[Xin, Guojiang] College of Management and Information Engineering, Hunan University of Chinese Medicine, Changsha, 410208, China
会议名称：
3rd International Conference on Cloud Computing and Security (ICCCS)
会议时间：
JUN 16-18, 2017
会议地点：
Nanjing Univ Informat Sci & Technol, Coll Comp & Software, Nanjing, PEOPLES R CHINA
作者机构：
[刘文龙; 石继连; 贺福元; 周晋; 杨岩涛] College of Pharmacy, Hunan University of Chinese Medicine, Changsha 410208, China;[刘文龙; 石继连; 贺福元; 周晋; 杨岩涛] Key Laboratory for Traditional Chinese Medicine Properties and Pharmacodynamics under State Administration of Traditional Chinese Medicine, Changsha 410208, China;[刘文龙; 石继连; 贺福元; 周晋; 杨岩涛] Laboratory for Modern Traditional Chinese Medicine Preparation Technology and Evaluation, Hunan University of Tradition Chinese Medicine, Changsha 410208, China;[刘文龙; 石继连; 贺福元; 周晋; 杨岩涛] Laboratory for Supramolecular Mechanism and Mathematic-Physics Characterization for Chinese Materia Medica, Hunan University of Chinese Medicine, Changsha 410208, China;[吴春英] College of Management and Information Engineering, Hunan University of Chinese Medicine, Changsha 410208, China
作者机构：
[胡志刚] School of Software, Central South University, Changsha, China;[丁长松; 王志英] College of Computer, National University of Defense Technology, Changsha, China;[丁长松] School of Management and Information Engineering, Hunan University of Chinese Medicine, Changsha, China
作者机构：
[李鹏; 王建新] School of Information Science and Engineering, Central South University, Changsha, 410083, China;[李鹏] School of Management and Information Engineering, Hunan University of Chinese Medicine, Changsha, 410208, China
