The chemical feeding ecology ofNeodiprion dubiosus schedl,N. rugifrons midd., andN. lecontei (Fitch) on jack pine (Pinus banksiana lamb.)

Two monophagous sawflies,Neodiprion dubiosus andN. rugifrons, actively avoid feeding on the current season's needles of jack pine,Pinus banksiana, while the polyphagousN. lecontei feeds indiscriminately on foliage of all age classes. Bioassay studies with needle extracts indicate thatN. dubiosus andN. rugifrons larval feeding preference is governed by a group of tricyclic diterpene resin acids. Resin acids commonly occur in needles of all ages; however, levopimaric, palustric, dehydroabietic, and neoabietic acids were at higher concentrations in the new needles.N. dubiosus was significantly deterred from feeding on 1-year-old foliage when treated with the pure resin acids, palustric and levopimaric, at 0.5 and 1.0 mg/ml MeOH.N. rugifrons larvae were deterred from feeding by pure dehydroabietic, neoabietic, and palustric acids at 1.0 mg/ml MeOH.     

An embedding approach for the design of state‐feedback tracking controllers for references with jumps

We study the problem of designing state‐feedback controllers to track time‐varying state trajectories that may exhibit jumps. Both plants and controllers considered are modeled as hybrid dynamical systems, which are systems with both continuous and discrete dynamics, given in terms of a flow set, a flow map, a jump set, and a jump map. Using recently developed tools for the study of stability in hybrid systems, we recast the tracking problem as the task of asymptotically stabilizing a set, the tracking set, and derive conditions for the design of state‐feedback tracking controllers with the property that the jump times of the plant coincide with those of the given reference trajectories. The resulting tracking controllers guarantee that solutions of the plant starting close to the reference trajectory stay close to it and that the difference between each solution of the controlled plant and the reference trajectory converges to zero asymptotically. Constructive conditions for tracking control design in terms of LMIs are proposed for a class of hybrid systems with linear maps and input‐triggered jumps. The results are illustrated by various examples. Copyright © 2013 John Wiley & Sons, Ltd.     

基于卷积神经网络的银行卡数字识别研究

为了快速准确的获取银行卡号信息,文章介绍了一种改进的LeNet-5神经网络结构.首先需要对原始数据预处理,通过数学形态学进行粗定位,最后通过卡行号的位置和特征进行精确定位.在卡号分割阶段,通过转换颜色空间对背景信息进行了去除,再使用了投影分析法对银行卡号分布形态做出了判断,最后使用K均值聚类算法对卡号行图像进行分割.在卡号识别阶段,先对数据进行数据增强,再用其对模型进行训练,将分割后的单独字符图像输入改进后的卷积神经网络LeNet-5对卡号进行识别,识别率达到了99.6％.     

Breaking Bad in Cyberspace: Understanding why and how Black Hat Hackers Manage their Nerves to Commit their Virtual Crimes

Information Systems Frontiers - What is happening in hacker’s minds when they are committing criminal activities? How black hat hackers manage nerves, which is about managing fear and...     

Popular News Are Relevant News! How Investor Attention Affects Algorithmic Decision-Making and Decision Support in Financial Markets

Algorithmic decision-making plays an important role in financial markets. Current tools in trading focus on popular companies which are discussed in thousands of news items. However, it remains unclear whether methodologies from the field of data analytics relying on large samples can also be applied to small datasets of less popular companies or whether these methodologies lead to the discovery of meaningless patterns resulting in economic losses. We analyze whether the impact of media sentiment on financial markets is influenced by two levels of investor attention and whether this impacts algorithmic decision-making. We find that the influence differs substantially between news and companies with high and low investor attention. We apply a trading simulation to outline the practical consequences of these interrelations for decision support systems. Our results are of high importance for financial market participants, especially for algorithmic traders that consider sentiment for investment decision support.

     

基于梯形图方法的全气动装弹机械手设计

介绍了基于梯形图设计方法的全气动装弹机械手的设计,重点探讨了在设计中考虑气缸运行位置检测、手动及自动切换、急停处理等实用问题.采用两位三通阀扩充方法来解决单一行程阀多次切换分区条件的难题,利用梭阀实现手动和自动操作的配合,通过增加一个中继阀来实现急停处理.     

Type IV culture or,is it possible to define a framework for universal creativity?

ABSTRACT

The radical limit of post-anthropocentric creativity is a mode of completely nonhuman creative endeavour. Yet, the anthropocentrism prevails and conceptions of radically different civilisations and cultures are defined by current human thought that shapes and limits the understanding of what a genuinely alternative cultural production might entail. This article uses the Kardashev scale of civilisations, classified according to energy consumption at the planetary, stellar and galactic scales to consider culture beyond the current limits of an inherently anthropocentric perspective. In considering microdimensional, informational and universal extensions of Kardashev's scale, critical reflections on the anthropocentric limits of cultural epistemology create an opportunity to posit a universal framework of creativity.     

Modelling Fine-Grained Access Control Policies in Grids

This paper presents an abstract specification of an enforcement mechanism of usage control for Grids, and verifies formally that such mechanism enforces UCON policies. Our technique is based on KAOS, a goal-oriented requirements engineering methodology with a formal LTL-based language and semantics. KAOS is used in a bottom-up form. We abstract the specification of the enforcement mechanism from current implementations of usage control for Grids. The result of this process is agent and operation models that describe the main components and operations of the enforcement mechanism. KAOS is used in top-down form by applying goal-refinement in order to refine UCON policies. The result of this process is a goal-refinement tree, which shows how a goal (policy) can be decomposed into sub-goals. Verification that a policy can be enforced is then equivalent to prove that a goal can be implemented by the enforcement mechanism represented by the agent and operation models.     

Designing a supply network artifact for data,process, and people integration

E-procurement and supplier-relationship management systems have helped to substantially advance process execution in supply management. However, current supply network systems still face challenges of high data integration efforts, as well as the decoupling of structured data and processes from the growing amount of digitalized unstructured interactions of supply management professionals. Inspired by the room for improvement posed by this challenges, our research proposes a design for a supply network artifact in supplier qualification that addresses these problems by enabling holistic integration of data, processes, and people. The artifact is developed following an action design research approach. Building on a set of meta-requirements derived from literature and practice explorations, we conceptualize two design principles and derive corresponding design decisions that have been implemented in an software artifact. Finally, we formulate testable hypotheses and evaluate the artifact and its design in the context of supplier qualification. Our results show that the proposed design reduces mental effort of supply management professionals and significantly increases efficiency when performing typical supply network tasks such as supplier qualification.