软件国际化与本地化技术的研究

在介绍软件国际化和本地化概念的基础上，讨论了软件国际化和本地化的基本技术，并深入研究和探讨了软件国际化和本地化引起的技术问题及其解决方案．     

断层波状构造及其控矿规律的定量研究

利用趋势分析与结构分析相结合的定量方法对断层的各级变异及波状构造进行分解和定量模拟,总结出断层波状构造的分级控矿和矿化局部化规律。据此,对研究区深边部盲矿体进行定位预测,指出了两个潜在工业矿化区。     

短小芽孢杆菌质粒pCJ3的衍生质粒pAl32的酶谱及抗性基因定位

从短小芽孢杆菌四环素抗性质粒pCJ3截短的衍生质粒pAL32,经用6种限制酶双酶解试验,根据琼脂糖凝胶电泳带估算各片段的分子量,作出了pAL32的6种限制酶图谱。利用已除去复制功能的金黄色葡萄球菌质粒pUB110与pAL32构建的Km~rTc~r的双抗性重组质粒pSC33为载体,在EcoRV位点克隆的λDNA片段的重组子均为Km~rTc~s。用pUB110与pAL32在PvuⅡ位点连接后的重组质粒也为Km~rTc~s。根据这些重组子四环素抗性的失活,推知pAL32上EcoRV与PvuⅡ切点均位于其四环素抗性基因上。     

Nuclear localization of mouse fibroblast growth factor 2 requires N-terminal and C-terminal sequences

In vertebrates, different isoforms of fibroblast growth factor 2 (FGF2) exist, which differ by their N-terminal extension. They show different localization and expression levels and exert distinct biological effects. Nevertheless, genetic inactivation of all FGF2 isoforms in the mouse results in only mild phenotypes. Here, we analyzed mouse FGF2, and show that, as in the human, mouse FGF2 contains CTG-initiated high molecular-weight (HMW) isoforms, which contain a nuclear localization signal, and which mediate localization of this isoform to the nucleus. Using green fluorescent protein-FGF2 fusions, we furthermore observed, that C-terminal deletions disable nuclear localization of the short low-molecular-weight (LMW) 18-kDa isoform. This loss of specific localization is accompanied by a loss in heparin binding. We therefore suggest that, first, localization of mouse FGF2 is comparable to that in other vertebrates and, second, FGF2 contains at least two sequences important for nuclear localization, a nuclear localization sequence at the N terminus which is only contained in the HMW isoform, and another sequence at the C terminus, which is only required for localization of the LMW 18-kDa isoform. Received 1 July 2003; accepted 14 August 2003     

基于多边约束的数据融合网络定位

无线传感网络定位方法近几年来受到广泛的关注。分布式算法是传感网络定位的一个主要要求,它不仅能减小计算和通信负载,同时对络的非连通性有很好的鲁棒性,对测量噪声克服也有一个很好的实现方案。虽然多种测量技术都能实现位置估计,但都存在某些不足。数据融合是一个很好的解决方案。提出了一个数据融合的结构和模糊优化数据融合算法。对每个节点的TOA和RSS数据进行融合。仿真表明位置估计的精度能够得到显著的改进,同时算法的复杂度也得到了降低。     

Localization for the Non-Invasive Detecting Capsule in GI Tract Utilizing Permanent Magnet and Magnetoresistive Sensors

The paper reports the localization principle and method for the capsule in the non-invasive detecting system of gastrointestinal (GI) tract utilizing one permanent and three magnetoresistive sensors. When the capsule is localized in practice, the permanent magnet is fixed inside the capsule, and the four magnetoresistive sensors are installed outside body. The permanent magnet's coordinate values can be solved by the magnetic dipole theory and optimum iterated method. The experiment shows the localization distance can reach 300 mm by employing the HMCI023 magnetoresistive sensors and the NdFeB45 φ9 mm × 5 mm permanent magnet, and the errors of single coordinate direction and radius vector are 0 - 58 mm and 0.1-62.9 mm respectively. The localization precision is acceptable basically, and it has some possibilities improving the precision and distance in the future. Moreover, the localization system makes the localization be reality because of decreasing the number of sensors, and it economizes the capsule's volume because of decreasing the permanent magnet's dimension, too.     

学科研究的理论和方法与学科空间的拓展和深化

20多年来,中国现代文学学科空间的拓展和深化往往依赖于学科研究理论和方法的更新,而这些“理论”和“方法”大多是从“西方”引进的,缺乏本土化的独创性,这就导致了现代文学的学术研究常常出现危机。因此,我们呼唤本土化的学科研究理论和方法的出现。     

基于移动锚节点的无线传感器网络节点定位

为了更好地解决无线传感器网络节点定位精度和复杂测距技术之间的矛盾,提出了一种基于移动锚节点的非测距的定位技术。9个装备有GPS接收机的可移动锚节点形成一个圆形定位区域,位于定位区域内的待定位节点接收锚节点发射的信号,并记录接收信号强度。比较接收信号强度确定自己所处区域,从而实现定位。仿真结果表明,该节点定位技术平均定位精度约为10%,与其他类似定位技术相比能够明显提高节点定位精度。     

无线传感器网络中的分布式节点定位方法

提出一种基于流形学习的分布式Hessian局部线性嵌入（DHLLE）定位方法,给出了基于流形学习算法的定位框架.DHLLE方法采用同情最邻近算法来选择节点邻居列表,并应用Hessian局部线性嵌入（HLLE）算法获取传感器网络节点的局部映射,再通过对局部映射合并获得所有节点的全局映射,最后通过对参考节点进行坐标匹配以取得所有节点的全局坐标.仿真结果表明,DHLLE方法能够快速、准确地对节点进行定位,且复杂度低,节点能耗小,其性能超过了分布式加权多维定标等算法.     

A cumulant-based parameter estimation algorithm for near-field sources

To efficiently use the array aperture and avoid the complicated parameter pairing computation,this paper proposes a new cumulant-based algorithm for localizing near-field narrowband sources.Firstly,this algorithm proposes a symmetric uniform linear ar- ray (ULA),and constructs three cumulant matrices by using the fourth-order cumulants of some properly chosen sensor outputs;second- ly,unlike the conventional parallel factor (PARAFAC) analysis models in data or subspace domain,it forms a three-way array (TWA) in the fourth-order cumulant domain using the three matrices,and analyzes the uniqueness of its low-rank decomposition;thirdly,it jointly estimates the frequency,the direction-of-arrival (DOA),and the range of each near-field source from the matrices via the low-rank de- composition of the TWA.The simulation results are presented to validate the performance of our proposed method.