MPEG-4 Simple Visual Profile编码特性剖析及实现

针对低比特率通信,对MPEG-4 Simple Visual Profile的编码特性剖析,并对影响编码速度最大运动估计与运动补偿进行讨论,提出实现MPEG-4 Simple Visual Profile编码模式,通过对待压缩帧数据的定义提出 MB码流的构成,为MPEG-4编码器在移动通信设备上的实现建立一个研究的基础平台。

基于物化特性编码和离散增量的支持向量机方法预测酶的亚类

从酶序列出发,提出了一种新的酶的亚类的预测方法。利用物化特性编码和离散增量得到特征向量来表示序列信息,并将这些特征向量输入支持向量机,对酶的6个家族类中各自的亚类进行分类。在Jacknife检验下,氧化还原酶,转移酶,水解酶,裂解酶,异构酶和连接酶中包含的亚类得到的预测精度分别为96.2%,99.2%,99.6%,95.3%,94.4%和97.7%。该方法得到的预测结果优于其它方法。

企业信息编码体系探讨与应用

本文阐述了企业信息编码体系的特性、分类、编码的方法及规则,以及建立企业信息编码体系的步骤。

面向3G环境下的移动视频编码技术

随着移动通信迈入3G时代，在众多的3G增值业务中，移动视频业务无疑将会成为3G业务的核心应用。以视频编码技术为代表的多媒体技术是支撑移动业务运营的基础技术。本文首先介绍了面向3G环境下的移动视频业务的发展现状及其面临的技术问题；然后从可分级编码、视频转码、多描述编码、基于视觉特性的编码几个方面论述了针对移动视频的编码技术；最后对面向3G环境下的移动视频编码技术进行了总结和展望。

应用层组播优化方法

应用层组播在不同业务领域的性能要求不完全相同,而应用层组播的网络环境也更加复杂,如:组播节点多元化、通信信道复杂化、节点规模庞大化、数据通信量扩大化等,因此需要结合已有应用层组播技术,针对特定业务的优化目标,对组播方案进行优化改进。通过分析应用层组播评价指标,将应用层组播优化方法分为编码特性优化、分层分簇优化、节点性能优化、选择最优父节点优化、路由信息维护优化,比较了不同类型优化方法的性能指标,给出了各自的适用环境,最后讨论了进一步的研究方向。

Correlation Analysis of Differences of Photoinhibitory Sensitivity of D1 Proteins in Oryza sativa ssp. japonica and indica and Structural Features of the Sequences of the Coding Genes

Oryza sativa L. ssp. japonica and indica exhibit different sensitivity to photoinhibition and they show different stability of their core proteins D1 in the chloroplast photosystem Ⅱ. Using in situ hybridization, psbA, the gene encoding D1 protein of O. sativa ssp. japonica cv. 9516, and that of O. sativa ssp. indica cv. Shanyou 63 was cloned. As revealed by homology comparison of their sequences, the sequences are identical in the regions of promoter and 5′-UTR; differences are found in individual bases in the coding region all of which, being in the third position of respective codons, however, do not affect the amino acids coded finally; a difference is noted in the length of the oligo-U sequence in the region of 3′-UTR. It is thus apparent that, rather than a result of any difference in the amino acid sequences, the differences in the sensitivity to photoinhibition of D1 proteins between japonica and indica rice may be related to the upstream factors that regulate expression of psbA or to differences of photoprotective mechanisms.

A VIDEO SPECTRUM SPLITTING ENCODING SCHEME BASED ON HUMAN VISION AND ITS COMPUTER SIMULATION

In this paper, a 3-D video encoding scheme suitable for digital TV/HDTV (high definition television) is studied through computer simulation. The encoding scheme is designed to provide a good match to human vision. Basically, this involves transmission of low frequency luminance information at full frame rate for good motion rendition and transmission of high frequency luminance signal at reduced frame rate for good detail in static images.

A FINE GRANULAR JOINT SOURCE CHANNEL CODING METHOD

An improved FGS (Fine Granular Scalability) coding method is proposed in this letter, which is based on human visual characteristics. This method adjusts FGS coding frame rate according to the evaluation of video sequences so as to improve the coding efficiency and subject perceived quality of reconstructed images. Finally, a fine granular joint source channel coding is proposed based on the source coding method, which not only utilizes the network resources efficiently, but guarantees the reliable transmission of video information.

MicroRNAs and cancer

MicroRNAs (miRNAs) belong to a class of noncoding, regulatory RNAs that are involved in oncogenesis and show remarkable tissue specificity.miRNAs are approximately 22 nt non-coding RNAs, which regulate gene expression in a sequence-specific manner via translational inhibition or messenger RNA (mRNA) degradation, thus affecting various cellular processes.Since the discovery of their fundamental mechanisms of action, the field of miRNAs has opened a new era in the understanding of small noncoding RNAs.Recent evidence has shown that miRNA controls cell growth, apoptosis, and differentiation.Cancer is a complex genetic disease caused by abnormalities in gene structure and expression, moreover, miRNA expression correlates with cancers and could have a crucial function in tumor progression.Bioinformatic data indicate that each miRNA can control hundreds of target genes, but identification of the accurate miRNA targets will be crucial to exploit the emerging knowledge of miRNA contribution to cancer process.

Identification and analysis of mouse non-coding RNA using transcriptome data

Transcripts are expressed spatially and temporally and they are very complicated, precise and specific; however, most studies are focused on protein-coding related genes. Recently, massively parallel c DNA sequencing(RNA-seq) has emerged to be a new and promising tool for transcriptome research, and numbers of non-coding RNAs, especially linc RNAs, have been widely identified and well characterized as important regulators of diverse biological processes. In this study, we used ultra-deep RNA-seq data from 15 mouse tissues to study the diversity and dynamic of non-coding RNAs in mouse. Using our own criteria, we identified totally 16,249 non-coding genes(21,569 non-coding RNAs) in mouse. We annotated these non-coding RNAs by diverse properties and found non-coding RNAs are generally shorter, have fewer exons, express in lower level and are more strikingly tissue-specific compared with protein-coding genes. Moreover, these non-coding RNAs show significant enrichment with transcriptional initiation and elongation signals including histone modifications(H3K4me3, H3K27me3 and H3K36me3), RNAPII binding sites and CAGE tags. The gene set enrichment analysis(GSEA) result revealed several sets of linc RNAs associated with diverse biological processes such as immune effector process, muscle development and sexual reproduction. Taken together, this study provides a more comprehensive annotation of mouse non-coding RNAs and gives an opportunity for future functional and evolutionary study of mouse non-coding RNAs.