动态场景中的背景恢复

为了解决存在运动对象的场景中的背景恢复问题，采用了一种自适应的背景模型。这种背景模型结合背景的构建与更新为一体，不需要预先存储图像序列、它根据后续差异图像中提供的更新的背景信息，借助于背景颜色程度函数，跟踪记录图像中各象素出现的各种颜色的背景颜色程度变化从而得到最新的背景图像。实验表明这种方法对于背景中对象的运动和运动对象的逗留具有很强的适应能力，能以较快的速度恢复最新的背景图像。     

耦合FE/WB法在声分析中的应用

简要描叙FE法(finite element method)和WB法(wave based method)的理论背景以及耦合FE/WB法的数学基础.耦合FE/WB法利用两者的优势——FE法的广泛应用和WB法的高收敛特性,将FE模型中较大且几何简单的部分采用WB法代替.耦合模型具有相对较少的自由度.对于较高的频率还可以进行细分得到更高的计算精度,并利用模态缩减法进一步减少自由度数.数值算例结果表明,该耦合方法有潜力覆盖中频段的声分析.     

鲜红斑痣光动力治疗数学模型及临床验证

为了研究光动力治疗(PDT)中各个因素作用的规律,帮助临床采取有效的治疗方案,针对鲜红斑痣(PWS)组织特性,将光动力治疗中组织光分布、单线态氧产生、光敏剂漂白过程和光敏剂扩散过程结合起来,建立适合于光动力治疗鲜红斑痣病变的系统模型。利用建立的模型,对临床中出现的第二光斑治疗效果差的问题进行仿真研究,发现影响其治疗效果的因素,并通过仿真实验提出改进其治疗效果的新方案。通过临床实验,证明了新方案的有效性和模型的有效性。研究结果说明,针对特定的病例条件建立仿真模型,通过仿真实验可以为临床和理论研究提供一种有效的分析方法。     

国家类型学说在近代东亚的传播与重构

国家类型学说源于欧美,是关于如何系统地区分和比较不同国家形式的学问,19世纪中叶以降伴随着西学东渐的潮流输入东亚文明圈。相较于中国的进程缓慢和规模有限,明治日本迅速形成了一套内涵丰富的以辨析国体政体关系为主旨的国家类型知识体系。国体政体是否有别、如何区分的争论,虽直接导源于西方的国家形式、政府形式异同问题,但根本症结在于日本以天皇总揽统治权之“体”行立宪政治之“用”后面临君权与民权的纠缠。清季朝野各方从日本引进各类国体政体理论探索改制问题,同样因君权、民权取向的互歧而衍生出彼此互异的国体政体观念。辛亥革命后,因缘君权时代的结束和民主共和的兴起,日本的国体政体学说在中国日趋失去活力,而民初议会政治的破产和主权所有者“民”背后阶级问题的出现,预示着新兴革命力量必须提出真正符合中国新的政治形势和需求的国家类型理论。     

关于一个核含参数且-2齐次的Hilbert型不等式

通过估算权系数,建立一个核含2-参数且-2齐次的Hilbert型不等式及其等价式,并考虑了逆向不等式的情形．     

Reverse fragment based drug discovery approach via simple estimation of fragment contributions

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Evaluating impacts of fish stock enhancement and biodiversity conservation actions on the livelihoods of small‐scale fishers on the Beijiang River,China

Inappropriate development and overexploitation have seriously degraded aquatic resources in China. Stakeholders identified three fish stock enhancement and biodiversity conservation scenarios for the Beijiang River: S1, increased fish restocking; S2, no fishing season and habitat conservation; and S3, strict pollution control. Potential impacts of these actions on the livelihoods of fishers were evaluated using applied economic modeling. Baseline costs and benefits came from logbooks from 30 fishers and a survey of 90 households in three villages. The financial net benefit for a household was US$1583 (￥11,160) annually, representing a 142% and 387% return on capital and operating costs, respectively. Larger catches associated with S1 and S2 generated a net benefit of US$1651 and US$1822, respectively. Strict pollution control resulting in higher catches (+20%) and lower operating costs (?20%) would increase the net benefit by 15.9% to US$1835 annually. Pollution control would benefit other resource users and is a prerequisite for ecological restoration. Recommendations for Resource Managers

• Stringent pollution control measures are essential to conserve aquatic biodiversity and enhance the livelihoods of fishers but will require considerable public and private sector investment.
• Enhanced fish stocks in the Beijiang River could benefit poor livelihoods but may not be sufficient to lift households out of poverty, aged fishers require government assistance to diversify their livelihoods, access alternative urban employment, and survive with dignity.
• Adopting the economic modeling approach presented here could enable responsible authorities to simultaneously evaluate fish stock enhancement and biodiversity conservation options.
• Broader application of the approach presented here could help ensure small‐scale inland fisheries are managed sustainably and aquatic ecosystems are restored and protected by 2020, in line with Target 6 of the United Nations’ Convention on Biological Diversity Strategic Plan for Biodiversity.

     

Neural network modeling of hydrological systems: A review of implementation techniques

This paper presents a review of procedural steps and implementation techniques used in the development of artificial intelligence models, generally referred to as artificial neural networks (ANNs), within the water resources domain. It focusses on identifying different areas wherein ANNs have found application thereby elucidating its advantages and disadvantages as well as various challenges encountered in its use. Results from this review provide useful insights into how the performance of ANNs can be improved and potential areas of application that are yet to be explored in hydrological modeling. Recommendations for Resource Managers

• Development of integrated and hybrid artificial intelligent tools is critical to achieving improved forecasts in hydrological modeling studies.

• Further research into comprehending the internal mechanisms of neural networks is required to obtain a practical meaning of each network component deployed to solve real‐world problems.

• More robust optimization techniques and tools like differential evolution, particle swarm optimization and deep neural nets, are yet to be fully explored in the water resources analysis, and should be given more attention to enhance neural networks aptitude for modeling complex and nonlinear hydrological processes.

     

Side-lobeless far-field spectrum of a short pulse from a circular aperture with Gaussian form of transmittance

The spectrum change of a Gaussian pulse in the far field is studied with the Fresnel diffraction integral when it is incident on an aperture with Gaussian form transmittance. It is found that the side-lobes of the diffracted spectral intensity, which exist in a normal circular aperture with unit transmittance, can be eliminated completely under such a condition. Also, the red shift and blue shift of the spectral intensity maximum of the incident pulse are presented.