污染控制成本模型与求解方法

分析了工业生产造成环境污染的主要方式 ,在此基础上建立相应的污染控制成本模型 ;通过该数学模式研究了控制污染的非线性逼近理论求解方法 ,探讨了成本最优问题。最后给出了一个算例。     

纯方位二维运动目标的不可观测性问题研究

纯方位系统是可观测的 ,是指系统在纯方位观察条件下 ,能唯一地求解出目标的运动参数。针对二维空间作匀加速运动的目标 ,对纯方位系统跟踪的不可观测性问题进行了讨论。证明了在观测器保持匀速直线运动时 ,纯方位系统定位与跟踪不可求解这一命题。对于利用被动传感器得到的纯方位量测进行目标运动状态的估计 ,在理论和实践中都有一定的指导意义     

Multi-label dimensionality reduction and classification with extreme learning machines

In the need of some real applications, such as text categorization and image classification, the multi-label learning gradually becomes a hot research point in recent years. Much attention has been paid to the research of multi-label classification algorithms. Considering the fact that the high dimensionality of the multi-label datasets may cause the curse of dimensionality and wil hamper the classification process, a dimensionality reduction algorithm, named multi-label kernel discriminant analysis （MLKDA）, is proposed to reduce the dimensionality of multi-label datasets. MLKDA, with the kernel trick, processes the multi-label integrally and realizes the nonlinear dimensionality reduction with the idea similar with linear discriminant analysis （LDA）. In the classification process of multi-label data, the extreme learning machine （ELM） is an efficient algorithm in the premise of good accuracy. MLKDA, combined with ELM, shows a good performance in multi-label learning experiments with several datasets. The experiments on both static data and data stream show that MLKDA outperforms multi-label dimensionality reduction via dependence maximization （MDDM） and multi-label linear discriminant analysis （MLDA） in cases of balanced datasets and stronger correlation between tags, and ELM is also a good choice for multi-label classification.     

Optimized LDPC differential-encoded 16QAM scheme for high-speed transmission systems

The 16-ary quadrature amplitude modulation （16QAM） is a high spectral efficient scheme for high-speed transmission systems. To remove the phase ambiguity in the coherent detection system, differential-encoded 16QAM （DE-16QAM） is usually used, however, it will cause performance degradation about 3 dB as compared to the conventional 16QAM. To overcome the performance loss, a serial concatenated system with outer low density parity check （LDPC） codes and inner DE-16QAM is proposed. At the receiver, joint iterative differential demodulation and decoding （ID） is carried out to approach the maximum likelihood performance. Moreover, a genetic evolution algorithm based on the extrinsic information transfer chart is proposed to optimize the degree distribution of the outer LDPC codes. Both theoretical analyses and simulation results indicate that this algorithm not only compensates the performance loss, but also obtains a significant performance gain, which is up to 1 dB as compared to the conventional non-DE-16QAM.     

The General Machining Process Simulator GMPS

Ｔｈｅ　Ｇｅｎｅｒａｌ　Ｍａｃｈｉｎｉｎｇ　Ｐｒｏｃｅｓｓ　Ｓｉｍｕｌａｔｏｒ　ＧＭＰＳＸｉａｏＴｉａｎｙｕａｎ，ＹａｎｇＧａｎｇ＆ＬｉＸｉｎ（ＤｅｐａｒｔｍｅｎｔｏｆＡｕｔｏｍａｔｉｏｎ，ＴｓｉｎｇｈｕａＵｎｉｖｅｒｓｉｔｙ，Ｂｅｉｊｉｎｇ，Ｃｈｉ...     

基于散射中心的目标建模与识别

准光学区目标对高分辨探测信号的散射，表现出多散射中心。本文利用目标的这一物理特性，推导了相邻两个观测方位角上散射信号的近似比例关系，采用梅林变换重建了目标类模式，有效地克服了目标散射中心模型的参数敏感于观测方位角变化而带来的特征选择的困难。文中针对三种飞机目标（歼七、Ｂ５２、Ｍｉｇ２７）进行了识别实验研究，结果表明了本文所提出的目标识别方法是有效可行的。     

生物多样性保护任重道远

简要介绍了生物多样性的内容,分析论述了目前我国在生物多样性方面受到的威胁以及应做的保护工作,提出了保护生物多样性需要全社会每一个人去努力的建议.     

隧道地质预报技术和方法

隧道地质超前预报是防止隧道开挖突发性灾害、保证施工工期、及时调整支护参数、保证施工质量和控制隧道建设成本的有效手段。在施工阶段采用短时间对岩体进行物理探测,通过各种信息来判断岩体特征的物理探测方法。     

浅析如何加强钢结构施工安全管理

在钢结构的施工过程中,安全第一.文章主要从钢结构施工过程的临边、洞口、高处作业的防护、材料吊运、吊装动火、作业现场安全、用电警示标志和警戒线的使用等方面具体阐述如何保障施工的安全性.     

柱前衍生氨基酸的色谱分析

对氨基酸的反相高效液相色谱的双荧光检测了作了介绍。采用邻苯二甲醛／巯基乙醇与９－芴基氯甲酸酯柱前衍生物,同时采用两台串联的荧光检测器对伯氨基酸和仲氨基酸进行分析;利用高半胱氨酸、高丝氨酸、正缬氨酸（ＮＶＡＬ）,硫代脯氨酸（ＴＰＲＯ）四种内标消降了系统误差。同时,由样品各组分保留时间重现性的相对误差及标准氨基酸衍生物的回收率实验来确定该方法的准确性。结果表明：此检测氨基酸方法灵敏度高,检出高且重现性