基于TOP SIS模型的济南市绿色GDP评价研究

本文从经济、环境和资源三个方面建立了绿色GDP评价指标体系,采用AHP法和变异系数法相结合确定评价指标权重,建立了城市绿色GDP评价的TOPSIS模型,并把该模型应用于济南近8年绿色GDP的综合评价,结果表明,济南市最近八年绿色GDP基本上保持在平稳发展水平,2005年最高,2006年最低,主要原因可能是2006年自然资源消耗和环境退化等造成的。     

平面凸轮数控加工程序编制的课程设计

文章论述以平面凸轮数控加工程序的编制作为数控技术课程设计的选题,和所涉及的几个问题用计算机绘制凸轮轮廓图形、生成DXF格式的文件、得到NC加工代码等.认为通过密切联系课程理论知识的课程设计实践活动,可提高学生的学习积极性和专业素质.     

农业生产风险管理策略的研究

农业生产经营风险管理所涉及的风险因素很多,主要有:(1)单产变化;(2)价格变化;(3)新技术或新知识变化;(4)农业投入水平变化;(5)政府政策变化;(6)法律变化;(7)消费者偏好变化,等等。通过权衡风险和收益,采用适宜的管理策略来规避风险,提高收益,形成了一系列非确定性关系下的风险决策方法。联系河北省20世纪90年代以来农业生产的实际情况,探讨了各种主要的规避或减少农业生产风险的方法和策略,如利用偏相关系数最小的方法选择稳定的生产项目;采用多种经营以分散风险的组合策略;提高农业生产经营灵活性的诸多措施;利用二次规划以建立风险最小而又能保证一定收入水平的最优规划方法等。     

天然气工业用户峰谷分时定价多目标优化模型

制定合理的天然气分时定价政策,能够优化资源配置,保证城市天然气管网稳定运行,从而缓解城市“气荒”现象,促进燃气产业健康发展。为此,在考虑用户响应行为的基础上,以最小化最大峰负荷和峰谷负荷差为目标,以燃气公司利益、用户利益,以及政府对天然气价格的限制为约束条件,建立了峰谷分时定价的多目标优化模型,运用遗传算法与Pareto排序相结合的方法对其进行求解。并且,将该模型应用于一个案例,将一天24小时划分为峰、平、谷三个时段,按照“量大价高”的原则实施分时定价政策。结果表明:在保证用户和燃气公司同时获益的情况下,存在最优的峰、平、谷价格,使得最大峰负荷和峰谷负荷差能有效降低,验证了多目标优化模型的有效性和可行性。     

模糊约束条件下的城市土地储备决策研究

城市土地储备系统具有较高的不确定性,文章利用模糊规划的方法,提出了在储备收益目标和储备约束条件允许一定限量的模糊情况下,如何确定土地储备数量的决策方法。最后利用该方法对R 市土地储备数量的确定进 行了实证研究,演示了该决策方法的具体应用,验证了方法的科学性和实用性。     

用Visual Basic开发图书馆常用条形码打印软件

论述了用Visual Basic 6.0 中文版开发图书馆常用条形码(39码)打印软件的经验。讨论了39条形码的编码规则。对程序设计中的打印条形码元素、打印条形码字符、条形码号码增值、设定条码打印位置等关键问题作了介绍,并给出了相应的程序代码。     

A counterexample to Beder's conjectures about Hadamard matrices

In this note we provide a counterexample which resolves conjectures about Hadamard matrices made in this journal. Beder [1998. Conjectures about Hadamard matrices. Journal of Statistical Planning and Inference 72, 7–14] conjectured that if H$\mathit{H}$ is a maximal m×n$m\times n$ row-Hadamard matrix then m is a multiple of 4; and that if n   is a power of 2 then every row-Hadamard matrix can be extended to a Hadamard matrix. Using binary integer programming we obtain a maximal 13×32$13\times 32$ row-Hadamard matrix, which disproves both conjectures. Additionally for n being a multiple of 4 up to 64, we tabulate values of m   for which we have found a maximal row-Hadamard matrix. Based on the tabulated results we conjecture that a m×n$m\times n$ row-Hadamard matrix with m?n-7$m?n-7$ can be extended to a Hadamard matrix.     

水质预报系统的MPI+OpenMP并行优化研究

OpenMP(Open Multi-Processing)能够在共享存储环境中获得理想的并行性能,MPI＋OpenMP混合并行编程模型更贴近于多核心集群的体系结构。在多核心集群上进行实验,混合模型相对串行程序可缩短95%的运算时间,加速比超过20。实验结果表明,该混合模型比纯MPI并行的系统具有更优的加速比和扩展性,是对纯MPI并行系统的一种改进。     

A Multi-Dimensional Conceptual Framework for Trauma-Informed Practice in Addictions Programming

Previous research has conceptualized trauma-informed practice in relation to five key values: safety, trust, choice, collaboration, and empowerment. This research identifies key organizational, programmatic, and interpersonal characteristics in community-based residential addictions treatment programming that exemplify each of these principles. Utilizing qualitative research methods, involving open-ended, one to one interviews with clients in residential substance misuse treatment (n = 41), respondents identified the importance of experiencing “safety” in relation to physical safety, confidentiality, reassurance, rule enforcement, and peer relationships. “Trust” was manifested in sharing, staff availability, nonjudgmental interactions, positive relationship dynamics, and caring. “Choice” was articulated in relation to individual needs, participation, opportunities, and focus of efforts. “Collaboration” was characterized in relation to opportunities for feedback, planning, goal setting, specificity, and support. Finally, “empowerment” was characterized by comfort in sharing, trigger management, trauma awareness, and understanding. The findings provide a conceptual framework for a trauma-informed social services organizational practice environment. Findings can inform adaptations to social service delivery processes and programs to become aligned with the values of trauma-informed practice. Future research can build on this framework by testing the study findings with quantitative methods along with replicating current methods in other social service delivery sectors.     

Semi-parametric segmentation of multiple series using a DP-Lasso strategy

We consider a semi-parametric approach to perform the joint segmentation of multiple series sharing a common functional part. We propose an iterative procedure based on Dynamic Programming for the segmentation part and Lasso estimators for the functional part. Our Lasso procedure, based on the dictionary approach, allows us to both estimate smooth functions and functions with local irregularity, which permits more flexibility than previous proposed methods. This yields to a better estimation of the functional part and improvements in the segmentation. The performance of our method is assessed using simulated data and real data from agriculture and geodetic studies. Our estimation procedure results to be a reliable tool to detect changes and to obtain an interpretable estimation of the functional part of the model in terms of known functions.