作者机构：
[刘恒言; 刘向前; 李芝; 戴玲] School of Pharmacy, Hunan University of Chinese Medicine, Changsha 410208, China;[刘向前; 邹亲朋] Department of Pharmaceutical Engineering, Central South University, Changsha 410083, China
通讯机构：
School of Pharmacy, Hunan University of Chinese Medicine, China
期刊：
Computer Modelling and New Technologies,2014年18(12):245-249 ISSN：1407-5806
通讯作者：
Peng, Yingying
作者机构：
[Ren, Xuegang; Peng, Yingying] Department of Management and Information Engineering, Hunan University of Chinese Medicine, Changsha, Hunan, China;[Hu, Defa] School of Computer and Information Engineering, Hunan University of Commerce, Changsha, Hunan, China
摘要：
Aiming at the Low-Density Parity-Check Codes, a reliability-based multibit-flipping decoding algorithm is proposed in the paper. The multibit-flipping criterion is based on the reliable bit position and the threshold in the flipping-decision (number of flipping bits) can be dynamically adjusted during the decoding process. The proposed algorithm is on the basis of the belief propagation decoding algorithm, and then can be derived from its theory. Compared with the traditional weighted bit-flipping decoder and the multi-bit flipping decoder, the proposed decoder can provide a faster converges faster convergent rate and better performances. Simulation results demonstrate that the proposed algorithm achieves a better balance between performance and complexity.
作者机构：
[丁长松] School of Administration and Information Engineering, Hunan University of Chinese Medicine, Changsha 410208, China;[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
通讯机构：
School of Administration and Information Engineering, Hunan University of Chinese Medicine, China
作者：
An Implementation of an Intelligent PCE-Agent-based Multi-domainOptical Network Architecture
作者机构：
湖南大学
会议名称：
International Conference on Intelligent Computing
会议时间：
2014-08-03到2014-08-06
会议地点：
Taiyuan, China
会议主办单位：
IEEE Computational Intelligence Society; International Neural Network Society; National Science Foundation of China
关键词：
Path Computation Element Multi-domain networks PCE-Agent BRPC
摘要：
This paper presents a new optical network architecture based on the PCE (Path Computation Element) by adding a PCE-Agent to intelligently control PCEs in each layer of the conventional multi-domain optical network. The PCE-Agent uses a weighted sum policy to evaluate the performance of each domain managed by a PCE in each layer for the selection of the next hop domain when establishing a P2P (Point to Point) or P2MP (Point to Multiple Points) routing path. A PA-BRPC (PCE-Agent Backward Recursive PCE-based Computation Algorithm) routing algorithm is then proposed by extending the BRPC (Backward Recursive PCE-based Computation Algorithm) algorithm in the PCE-Agent-based multi-domain optical network architecture. Compared with the traditional BRPC algorithm, our PA-BRPC algorithm based on the improved PCE-Agent architecture obtains better performance in terms of both the utilization rate of resources and the load balance of the optical network.
关键词：
Single Nucleotide Polymorphism;tagSNPs;Genetic Algorithm;Artificial Neural Network
摘要：
Currently, many approaches have been developed to be applied in the tagSNP selection research. However, there are still drawbacks existing in these methods, manifested chiefly by high time complexity, large number of selected tagSNPs, low prediction accuracy and inefficient tagSNPs in followup study. We propose an informative SNP selection method framework based on genetic algorithm in this paper to address these problems. In this study, we separately improve the phases of informative SNPs set construction and haplotypes reconstruction. Firstly, we eliminate the large number of redundant SNPs with LD values to obtain a candidate subset with small redundancy, and then seek for optimization with genetic algorithm not only to ensure the reconstruction accuracy efficiently but also to reduce time complexity greatly. Besides, to avoid retrain prediction model repeatedly by traditional methods (e.g., MLR, SVM and so on), we make full use of BP neural network's multiple output characteristics to reconstruct all non-tagSNP at once. Thus, it significantly saves computational complexity. The experimental results show that our method performs much better than the current dominating tagSNP selection methods.
作者机构：
[彭东明; 苏小爱; 刘艳飞; 帅海涛; 盛毓] School of Chemistry and Chemical Engineering, Central South University, Changsha 410083, China;[刘艳飞] Key Laboratory of Resources Chemistry of Nonferrous Metals, Ministry of Education, Central South University, Changsha 410083, China;[彭东明] School of Pharmacy, Hunan University of Chinese Medicine, Changsha 410208, China
通讯机构：
School of Chemistry and Chemical Engineering, Central South University, China
摘要：
In this paper, multi-walled carbon nanotubes (MWCNTs) were oxidized by 30 w% hydrogen peroxide to introduce hydroxyl groups and carboxyl groups on it. Catalyzed by p-toluenesulfonic acid, D-tartaric acid (DTA) was grafted onto MWCNTs by an esterification reaction. Fourier transform infrared spectroscopy and high resolution transmission electron microscopy were used to elucidate the introduced groups and the morphologies changes of the MWCNTs samples. The D-tartaric acid modified MWCNTs were used as chiral im pregnating reagents for thin-layer chromatography for enantioseparation of propranolol enantiomers, and the chiral separation factor was achieved over 7.23 by a mixed solvent of acetonitrile-tert-butanol-acetic acid (volume ratio is 49:49:2) as developing solvent.
期刊：
BioTechnology: An Indian Journal,2013年8(4):543-550 ISSN：0974-7435
通讯作者：
Liao, D.-F.(dfliao66@aliyun.com)
作者机构：
[Tuo, Qin-Hui; Liao, Duan-Fang; Gong, Yong-Zhen; Sun, Shao-Wei] Hunan University of Chinese Medicine, Hanpu Science and Education District, 1# Xiangzui Road, Changsha 410208, Hunan, China;[Ke-Tang, Chao] Institute of Cardiovascular Disease, Life Science Research Center, University of South China, 28# Changsheng Western Road, Hengyang 421001, Hunan, China;[Tuo, Qin-Hui; Ke-Tang, Chao; Liao, Duan-Fang; Gong, Yong-Zhen; Zhang, Xiao-Ying; Sun, Shao-Wei] Division of biochemistry, School of pharmacy and Life Science, University of South China, 28# Changsheng West Road, Hengyang 421001, Hunan, China;[Zhang, Xiao-Ying] Division of Pharmacoproteomics, School of pharmacy and Life Science, University of South China, 28# Changsheng Western Road, Hengyang 421001, Hunan, China
通讯机构：
[Liao, D.-F.] H;Hunan University of Chinese Medicine, 1# Xiangzui Road, Changsha 410208, Hunan, China
摘要：
Cloud computing provides a powerful environment for growing a variety of services and data. Role-Based Access Control (RBAC) has widely been accepted as a promising model to capture dynamic requirements in cloud computing service. Constraints are a powerful mechanism for enforce higher-level organizational policy for RBAC. In this paper, we study temporal constraints and role-based constraints, and propose Temporal Constraint Consistency Problem (TCCP). We study the computational complexities of TCCP in different subcases and generate a valid assignment to satisfy all the constraints, then reduce them into general P, NP and NP-Hard problems. By this way, we can provide a possible solution to the conflicting constraints which may coexist in a cloud computing environment.
作者机构：
[彭东明; 王春燕; 刘艳飞; 苏小爱; 帅海涛; 盛毓; 李永欣] School of Chemistry and Chemical Engineering, Central South University, Changsha 410083, China;[刘艳飞] Key Laboratory of Resources Chemistry of Nonferrous Metals, Ministry of Education, Central South University, Changsha 410083, China;[彭东明] School of Pharmacy, Hunan University of Chinese Medicine, Changsha 410208, China
通讯机构：
School of Chemistry and Chemical Engineering, Central South University, China
作者机构：
[叶秀云; 张雯] College of Chemistry and Chemical Engineering, Fuzhou University, Fuzhou 350108, China;[倪莉; 黄志清; 叶秀云; 郑朝栋; 张雯] Institute of Food Science and Technology, College of Biological Science and Technology, Fuzhou University, Fuzhou 350108, China
通讯机构：
College of Chemistry and Chemical Engineering, Fuzhou University, China
作者：
The research of the data security for Cloud disk based on the Hadoop framework
作者机构：
湖南大学
会议名称：
4th International Conference on Intelligent Control and Information Processing (ICICIP)
会议时间：
2013-06-09到2013-06-11
会议地点：
北京
摘要：
In order to solve the existing security problem of the distributed network cloud disk, such as transmission, storage security problems, etc, a network cloud disk safety storage scheme based on Hadoop is proposed. Based on the different confidential level of user data, it gives selective encryption scheme, which gives full consideration to the following security issues, such as the security of the user data transmission in the network, user data no verification, the user data privacy might be leaked, etc. Combined with the rapid encryption of symmetric encryption algorithm and identity authentication of RSA, overtime checking and the performance of Hadoop, the distributed network cloud data security storage disk can supply secured, effective, stable effect. Finally the security of the scheme is proved by BANLOGIC.
摘要：
Oxidative rearrangement of internal alkynes catalyzed by manganese(III) porphyrin is described, which opens a new access to one-carbon-shorter ketones using molecular oxygen. Under the standard conditions, a variety of alkynes including diarylalkynes and arylalkylalkynes rearranged smoothly to the corresponding ketones in high yields. Based upon experimental observations, a plausible reaction mechanism is proposed.
