拼音文本驱动的任意嘴唇曲线的动画生成

口型的变化是人脸动画中的重要组成部分.为了能够简单、形象地研究口型曲线动画,定义了一种新的口型LAP模型,用28个LAP控制口型形状,并用Cardinal曲线进行绘制,得到了很逼真的口型效果.提出将已测定的拼音基本视位的标准LAP值应用到不同嘴唇上的自适应动画方法.首先计算出"单位LAP参数值";再根据任意指定的嘴唇的宽度、高度和突出度,计算出适合该嘴唇所有视位的每个LAP;最后以任意拼音文本驱动该嘴唇,生成连续动画.在动画实现过程中,采用插值来实现口型与口型之间的连续过渡,同时考虑前一口型对后续口型的影响,以达到连续、光滑的视觉效果.     

基于ICA算法的一般人脸动画模式表达

该文基于三维扫描数据抽取特定人面部特征点的三维运动,转化为FAP训练数据。然后通过对获取数据应用独立元分析获得一般人脸动画模式,最终使用ICA参数空间生成任意特定人的面部表情。实验结果表明,ICA比PCA给出更加紧致准确的一般人脸动画表达模式,当两种分量的数目相同时,ICA的重建误差比PCA的重建误差小。表情参数影响动画人脸不同部分的独立性和相关性,改善了不同表情人脸动画的真实性。     

汉语文本-可视语音转换的研究

本文通过对发音者可见器官动作的研究 ,从视觉方面抽取汉语发音的 2 6个基本口形 ,并利用 MPEG- 4所规定的面部动画参数 (FAP)来描述这些口形 ,从而获得了符合国际标准的描述汉语发音的视觉参数 .另外 ,我们研究了这些参数在连续语流中的变化及协同发音对口形的影响 ,基于已有的汉语文语转换系统 (Sonic)和二维网格人脸模型(Plane Face)实现了一个汉语文本 -可视语音转换系统 (TTVS)     

A hybrid approach based on stochastic competitive Hopfield neural network and efficient genetic algorithm for frequency assignment problem

This paper presents a hybrid efficient genetic algorithm (EGA) for the stochastic competitive Hopfield (SCH) neural network, which is named SCH–EGA. This approach aims to tackle the frequency assignment problem (FAP). The objective of the FAP in satellite communication system is to minimize the co-channel interference between satellite communication systems by rearranging the frequency assignment so that they can accommodate increasing demands. Our hybrid algorithm involves a stochastic competitive Hopfield neural network (SCHNN) which manages the problem constraints, when a genetic algorithm searches for high quality solutions with the minimum possible cost. Our hybrid algorithm, reflecting a special type of algorithm hybrid thought, owns good adaptability which cannot only deal with the FAP, but also cope with other problems including the clustering, classification, and the maximum clique problem, etc. In this paper, we first propose five optimal strategies to build an efficient genetic algorithm. Then we explore three hybridizations between SCHNN and EGA to discover the best hybrid algorithm. We believe that the comparison can also be helpful for hybridizations between neural networks and other evolutionary algorithms such as the particle swarm optimization algorithm, the artificial bee colony algorithm, etc. In the experiments, our hybrid algorithm obtains better or comparable performance than other algorithms on 5 benchmark problems and 12 large problems randomly generated. Finally, we show that our hybrid algorithm can obtain good results with a small size population.     

Apatite ore mine tailings as an amendment for remediation of a lead-contaminated shooting range soil

This study investigated the use of tailings from apatite ore beneficiation in the remediation of a heavily contaminated shooting range soil. The tailings originating in Siilinjärvi carbonatite complex, Finland, consist of apatite residues accompanied by phlogopite and calcite. In a pot experiment, organic top layer of a boreal forest soil predisposed to pellet-derived lead (Pb) was amended with tailings of various particle-sizes (Ø > 0.2 mm, Ø < 0.2 mm and unsieved material) differing in their mineralogical composition. After 9-, 10-, 14- and 21-month incubation, the samples were monitored for tailings-induced changes in the different Pb pools by means of sequential fractionation. Following the incubation, the samples were extracted with water and the extracts were analyzed for Pb species distribution by means of a cation exchange resin. The results revealed that Pb was continuously released from the shotgun pellet fragments due to weathering. However, the apatite and calcite compartments in the tailings counteracted the mobility of the released Pb through the formation of sparingly soluble fluorpyromorphite and cerussite. Furthermore, the tailings efficiently reduced the bioavailability of Pb by transferring it from the water-soluble and exchangeable pools into the organic one. The material also increased the proportion of the less toxic non-cationic Pb to the total dissolved Pb from the initial level of 5% to 9-12%. The results suggest that the tailings-induced stabilization of Pb may be an environmentally sound remediation technique at polluted sites.     

Femto宽带和移动融合架构研究

随着3G上网卡的普及,运营商迫切需要解决3G移动网络和宏蜂窝基站的流量压力。本文提出一种Femto宽带和移动融合的解决方案,使3G上网终端经由Femto网关上网时可享受宽带网络的带宽。本文设计的Femto宽带和移动融合架构不改变现有的移动网络架构,系统侧不需要做大的修改,移动终端不需要做任何改动。     

Yb∶FAP晶体的生长及光谱性能

应用中频感应提拉法生长出不同掺杂浓度的Yb∶FAP激光晶体。运用电感耦合等离子体原子发射光谱仪(ICP-AES)测定了Yb3+离子在Yb∶FAP晶体中的分凝系数约为0.03。随着晶体的生长,晶体中Yb3+离子的轴向浓度逐渐增大。研究Yb∶FAP晶体在77 K和300 K温度下的吸收光谱发现,振动谱的变化主要是由电子-声子近共振耦合作用引起的。系统地研究了不同Yb3+离子掺杂浓度Yb∶FAP晶体的吸收光谱和荧光光谱。通过吸收光谱的测量计算了晶体的吸收截面。Yb∶FAP晶体在904 nm和982 nm处存在Yb3+离子的两个吸收带,适合激光二极管抽运。     

一种高性能的网络文件访问协议的研究与实现

随着网络上的数据呈爆炸性的增长，融合NAS和SAN技术的USN(统一存储网)正成为新的研究热点。针对传统文件共享协议的缺点，实现了一个新的基于USN的文件共享协议(File Access Protocol，FAP)，详细介绍了这种FAP协议的设计方案，并进行了相应的试验测试和性能分析。     

Femto产业进展及部署相关问题探讨

Femto技术作为移动通信网络的补充,能够使运营商以更低的代价为家庭和企业用户提供更好的无线宽带语音及数据业务。作为一种固定移动融合的新技术和个人移动通信市场与家庭宽带通信市场的结合点,Femto将是全业务运营商提供差异化业务的重要手段。文章主要介绍了3G/LTE Femto产业进展情况,分析了部署Femto网络时可能遇到的问题,并在此基础上对Femto部署策略进行了探讨。     

Development of a Bispecific Antibody-Based Platform for Retargeting of Capsid Modified AAV Vectors

A major limiting factor for systemically delivered gene therapies is the lack of novel tissue specific AAV (Adeno-associated virus) derived vectors. Bispecific antibodies can be used to redirect AAVs to specific target receptors. Here, we demonstrate that the insertion of a short linear epitope “2E3” derived from human proprotein-convertase subtilisin/kexin type 9 (PCSK9) into different surface loops of the VP capsid proteins can be used for AAV de-targeting from its natural receptor(s), combined with a bispecific antibody-mediated retargeting. We chose to target a set of distinct disease relevant membrane proteins—fibroblast activation protein (FAP), which is upregulated on activated fibroblasts within the tumor stroma and in fibrotic tissues, as well as programmed death-ligand 1 (PD-L1), which is strongly upregulated in many cancers. Upon incubation with a bispecific antibody recognizing the 2E3 epitope and FAP or PD-L1, the bispecific antibody/rAAV complex was able to selectively transduce receptor positive cells. In summary, we developed a novel, rationally designed vector retargeting platform that can target AAVs to a new set of cellular receptors in a modular fashion. This versatile platform may serve as a valuable tool to investigate the role of disease relevant cell types and basis for novel gene therapy approaches.