Optimization for limited angle tomography in medical image processing

This paper aims to reduce the problems of incomplete data in computed tomography, which happens frequently in medical image process and analysis, e.g., when the high-density region of objects can only be penetrated by X-rays at a limited angular range. As the projection data are available only in an angular range, the incomplete data problem can be attributed to the limited angle problem, which is an ill-posed inverse problem. Image reconstruction based on total variation (TV) reduces the problem and gives better performance on edge-preserving reconstruction; however, the artificial parameter can only be determined through considerable experimentation. In this paper, an effective TV objective function is proposed to reduce the inverse problem in the limited angle tomography. This novel objective function provides a robust and effective reconstruction without any artificial parameter in the iterative processes, using the TV as a multiplicative constraint. The results demonstrate that this reconstruction strategy outperforms some previous ones.     

农业专家系统在农业高校和京郊农村的发展

农业专家系统是一项在信息技术中结合农业特点发展起来的高新技术。它对于提高广大农业人员的科技文化素质,提升农业科技自主创新能力,实现农业生产的跨越发展具有特别重要的作用。高等农业院校和广大农村又是农业专家和农业知识高度密集的地方,更应该使农业专家系统拥有广阔的用武之地。     

Co-evolutionary immuno-particle swarm optimization with penetrated hyper-mutation for distributed inventory replenishment

This article is betrothed to serve as a continuation of the emerging swarm techniques to solve supply chain problems. Our aim is to map some of the pressing research challenges contributed by the artificial intelligence community and to develop an improved algorithm: Co-evolutionary immuno-particle swarm optimisation with penetrated hyper-mutation (COIPSO-PHM). In this paper, we proposed a new algorithm which uses clonal selection approach in particle swarm optimisation by embedding co-evolutionary theory to solve the problem of inventory replenishment in distributed plant–warehouse–retailer system. Constraint handling is explicitly taken care by implanting augmented lagrangian concept. To demonstrate the efficiency of the algorithm, its performance are evaluated and compared on 10 benchmarked problems (made constrained problem via random initialisation in the infeasible zone) including functions with uni-modalities as well as multi-modalities. The result follows shows superior performance of the algorithm in every respect.     

Capability and limitation of max- and sum-type construction of Lyapunov functions for networks of iISS systems

This paper addresses the problem of verifying stability of networks whose subsystems admit dissipation inequalities of integral input-to-state stability (iISS). We focus on two ways of constructing a Lyapunov function satisfying a dissipation inequality of a given network. Their difference from one another is elucidated from the viewpoint of formulation, relation, fundamental limitation and capability. One is referred to as the max-type construction resulting in a Lipschitz continuous Lyapunov function. The other is the sum-type construction resulting in a continuously differentiable Lyapunov function. This paper presents geometrical conditions under which the Lyapunov construction is possible for a network comprising $n\ge 2$ subsystems. Although the sum-type construction for general $n>2$ has not yet been reduced to a readily computable condition, we obtain a simple condition of iISS small gain in the case of $n=2$. It is demonstrated that the max-type construction fails to offer a Lyapunov function if the network contains subsystems which are not input-to-state stable (ISS).     

锅炉过热器/再热器管道热流密度的评估方法

通过建立数值模型进行编程计算,分析了锅炉过热器/再热器管道在不同的管道几何尺寸、烟气温度、蒸汽流量和温度下,各个界面热流密度的变化情况。通过回归分析得到了热流密度与管道内壁侧氧化层厚度和运行时间的关系表达式,即热流密度的评估关系式。     

面向调度主站一体化的数据网格设计与实现

高性能电力应用致力于搭建用于调度数据的统一管理、集中处理平台。数据网格易于海量数据共享的特点使其适用于实现调度主站一体化。构建了调度主站数据网格的基本架构,利用网格软件Globus Toolkit建立网格环境,在此基础上配置数据库访问中间件OGSA-DAI来建立面向调度主站一体化的数据网格实验平台。     

A novel channel selection method for CANDU refuelling based on the BPANN and GA techniques

A novel channel selection method for CANDU refuelling based on the back-propagation artificial neural network (BPANN) and genetic algorithm (GA) techniques is developed. In this method, GA is used as an “optimization tool” and BPANN as a refuelling “simulator” used to predict the core parameters. Based on this method an automatic refuelling channel selection program for CANDU reactors has been developed and tested by the refuelling simulation of the Qinshan Phase III CANDU reactor for 400 effective full power days. The numerical results show that the average properties of the time-dependent core are very close to the reference one and the refuelling channel selection method possesses superior computational efficiency.     

大型汽轮发电机组调峰的综合评价与优化分析

提出对大型汽轮机组调峰运行进行综合评价的方法，并基于煤耗和转子寿命损耗建立了对机组调峰进行总体优化的数学模型。这种以综合评价指标最小为目标进行优化的方法，较以往只考虑单方面的优化方法更科学、合理而且全面。     

餐厨垃圾发酵生产乳酸的工艺优化

为提高餐厨垃圾发酵生产乳酸的效率,采用Plackett-Burman和中心复合两种统计试验方法对影响发酵的因素进行初筛和优化.Plackett-Burman实验的结果表明,影响乳酸发酵的正向显著性因素有乳酸菌TD175、糖化酶、吐温80、纤维素酶;灭菌是负显著性因素.通过中心复合试验设计,确定最佳发酵工艺:乳酸菌接种量6.6%,糖化酶160U/g,纤维素酶60U/g,吐温800.08%,温度45℃.最佳工艺条件下发酵40h,乳酸产量能达到66.13g/L,每克干垃圾产乳酸0.53g.餐厨垃圾的乳酸发酵无需灭菌、无需额外营养物,具有良好的经济效益和应用前景.     

基于序列运算理论的孤立微电网经济运行模型

针对风力和光伏发电出力的随机性,提出一种基于机会约束规划的孤立微电网经济运行模型。鉴于部分机会约束难以转化成确定性约束,根据序列运算理论,利用可再生能源出力的概率分布生成概率性序列,使模型中的机会约束转化成确定性约束的等价类。因此模型具有混合整数规划的线性结构,可兼容如TOMLAB类的优化工具求解。仿真结果表明,与随机模拟求解相比,该方法具有计算速度快且结果稳定的优势。另外,为了考察概率性序列的合理性,还讨论了不同离散化步长对计算结果的影响,并进一步验证了所提出方法的有效性。