Mobile Agent的两种安全机制

安全性在电子交易系统中是一个至关重要的问题，该文对传统的电子商务和基于MobileAgent的电子交易的安全问题进行了比较，提出了在Grasshopper平台下采用时间限制的黑箱安全机制和加密跟踪的方法扩展平台本身的安全性，确保了Grasshopper平台在实现电子交易过程中整个系统的安全性。     

Parametric Regionalism

Philip Yuan , Founding Director of Shanghai-based firm Archi-Union Architects, applies parametric techniques to his design and research in China. Here he explains how Parametricism can provide a highly adaptive and open approach to architectural knowledge and spatial organisation, accommodating regional variations in culture and environment, through an emphasis on local climate, materials and craft traditions.     

Upgrading Computational Design

Shajay Bhooshan heads up the computation and design ZHACODE group at Zaha Hadid Architects (ZHA) and is a course master at the Architectural Association Design Research Laboratory (AADRL). Here he argues that Parametricism 2.0 has a vital role to play in the progressing of computational design. Assimilating the exploratory developments of the last 15 years, he asserts how the next phase of Parametricism will enable a further consolidation and evolution of digital practices.     

Laboratory Bioassays of Vegetable Oils as Kairomonal Phagostimulants for Grasshoppers (Orthoptera: Acrididae)

Vegetable oils have kairomonal attractant properties to grasshoppers primarily due to the presence of linoleic and linolenic fatty acids. These fatty acids are dietary essentials for grasshoppers and, once volatilized, can be detected by the insects’ olfactory receptors. A laboratory bioassay method has been developed to identify vegetable oils that have fatty acid profiles similar to grasshoppers and that induce grasshopper attraction and feeding. Such oils could be useful kairomonal adjuvants and/or carriers for acridicide formulations. Three sets of laboratory bioassays demonstrated that the addition of a standard aliquot of different vegetable oils resulted in varying degrees of grasshopper feeding on otherwise neutral substrates. Addition of olive oil stimulated the greatest feeding in all three sets of assays, regardless of the age of the tested insects. Furthermore, addition of canola or flax oils markedly enhanced grasshopper feeding. These three oils—i.e., olive, canola, and flax oil—proved to be the best performing grasshopper stimulants. A second group of oils included rapeseed-flax mix and rapeseed oils; however, their performance was not as consistent as oils in the first group—especially with regard to nymphal feeding. A third group of oils consisted of soybean, corn, peanut, and sunflower oil. Theoretical expectations regarding these oils varied wildly, suggesting that the results of a single bioassay should be cautiously interpreted as being negative.     

BIM技术在装配式内装设计中的应用

阐述了装配式装修的概念、优势和BIM技术在装配式装修行业的应用现状.结合BIM软件,从族库建立、参数化建模、碰撞检查、施工图出图、工程算量等方面提出了装配式装修设计的技术路线.以全装配式装修研发实验房项目为例,详细介绍了装配式装修BIM设计过程,验证了技术思路的可行性与合理性,为推动BIM技术在装配式装修行业的应用提供...     

以形状文法为导向的参数化传统纹样设计技术研究

目的 将现代参数化生成技术融入传统纹样设计方法,以此弥补传统的纹样设计方法对设计结果可控性低、产出效率低的不足,从而探索传统纹样创新设计的新途径。方法 运用模件系统理论和图谱量化法提取传统纹样的文化基因图案,采用Grasshopper参数化工具重构纹样,并将形状文法推演规则转译为参数化语法表达的形状文法推演规则,运用系统的文法规则控制感性随意的纹样参数衍生流程,实现基于形状文法导向的参数化纹样设计方法。结果 以黄梅挑花八角莲纹为例,编写形状文法控制的纹样衍生参数化程序,生成多种八角莲纹衍生图案,并应用于不同的文创载体。结论 参数化设计逻辑下的形状文法可以更高效地挖掘传统文化纹样的创新设计价值,以形状文法为导向的参数化技术可灵活并科学地对传统纹样进行再设计,为数字化时代下非物质文化遗产的保护和传承提供参考。     

基于蝗虫优化算法变论域模糊PI的PMSM矢量控制

永磁同步电机是一个多变量、强耦合、非线性和变参数的复杂控制对象,采用传统的PI控制很难满足现代工业的控制要求.为了获得较好的控制性能,在标准模糊PI控制的基础上,提出了一种蝗虫优化算法和变论域模糊PI相结合的控制方法.首先,介绍了蝗虫优化算法和变论域模糊PI控制的基本原理;然后,阐述了蝗虫优化算法变论域模糊PI转速控制...     

Olfactory basis of cannibalism in grasshoppers (Orthoptera: Acrididae): III. Use of attractants on carbaryl wheat bran bait

Two known necrogenic attractants, linoleic acid (18:2) and linolenic acid (18:3), were added to carbaryl bran bait to enhance control of rangeland grasshoppers in southeastern Wyoming. The primary goal was to increase control of species of Gomphocerinae, which normally do not consume bran bait. Each attractant was applied at 1, 5, and 10 grasshopper equivalents (GE) (e.g., a 1-GE treatment had the amount of fatty acid per unit weight of wheat bran that would be found in one grasshopper). Controls included carbaryl bran with no attractant and no treatment. Bran was applied at a rate of 1 kg/ha to 1-ha blocks on June 6, 1992, with four replicates per treatment and control. Plots were sampled for grasshoppers and nontarget organisms one day prior to and one, two, and three days after treatment. The addition of linoleic acid (10 GE) resulted in significantly lower total grasshopper densities than carbaryl bran alone. None of the attractants significantly improved control of all Gomphocerinae due to inconsistent effects among species. Relative to carbaryl bait alone, all doses of both fatty acids significantly improved control ofAmphitornus coloradus (Thomas). However, the attractants did not change the level of control ofCordillacris occipitalis orAulocara elliotti, and linolenic acid (5 GE) and linoleic acid (1 GE) resulted in significantly poorer control ofAgeneotettix deorum (Scudder) than carbaryl bait alone. Nontarget arthropods were largely unaffected by the attractants, except for the spiders, which were significantly reduced in all linolenic acid treatments.     

基于多策略融合的混合多目标蝗虫优化算法

为提高蝗虫优化算法（GOA）求解多目标问题的性能,提出一种基于多策略融合的混合多目标蝗虫优化算法（HMOGOA）。首先,利用Halton序列建立初始种群,保证种群在初始阶段具有均匀分布和较高多样性;然后,通过差分变异算子引导种群变异,促进种群向优势个体移动同时进行更大范围寻优;最后,利用自适应权重因子根据种群优化情况动态调整算法全局搜索和局部寻优能力,提高优化效率及解集质量。选取7个典型函数进行实验测试,并将HMOGOA与多目标蝗虫优化、多目标粒子群（MOPSO）、基于分解的多目标进化（MOEA/D）及非支配排序遗传算法（NSGA Ⅱ）对比分析。实验结果表明,该算法避免了其他四种算法的局部最优问题,明显提高了解集分布均匀性和分布广度,具有更好的收敛精度和稳定性。     

Grasshopper optimization algorithm for optimal load frequency control considering Predictive Functional Modified PID controller in restructured multi-resource multi-area power system with Redox Flow Battery units

Load frequency control (LFC) is a well-established issue in design and operation of power systems considering to the extension, restructuring, and complexity of the interconnected power systems and also the emergence utilization of renewable energy resources. This paper studies the frequency control of multi-area multi-source power system based on the importance of the LFC in the stability of the power system which includes various generation units of thermal, hydroelectric, wind, natural gas and diesel under the restructured environment. In this system, non-linear physical constraints, governor dead band (GDB) and generation rate constraint (GRC) are considered. In this paper, a new Predictive Functional Modified PID (PFMPID) controller is proposed that the effectiveness of this controller is verified compared to the traditional one. In order to optimize and demonstrate the superiority of the proposed control method, Grasshopper Optimization Algorithm (GOA) is proposed as a suitable solution. To further improve the performance of the under study system, the use of the Redox Flow Battery (RFB) energy storage unit has also been proposed. Since the operation evaluation of the proposed process is necessary in different system conditions, the performance of the proposed method is studied under various disturbances and simulation results are presented.