New electrolytes using Li2O or Li2O2 oxides and tris(pentafluorophenyl) borane as boron based anion receptor for lithium batteries

A new system of electrolytes has been developed and studied for lithium-ion batteries. This new system is based on the interactions between Li₂O or Li₂O₂ and tris(pentafluorophenyl) borane (TPFPB) in carbonate based organic solvents. This opens up a completely new approach in developing non-aqueous electrolytes. In general, the solubility of Li₂O or Li₂O₂ is very low in organic solvents and the ionic conductivities of these solutions are almost undetectable. By adding certain amount of tris(pentafluorophenyl) borane (TPFPB), one type of boron based anion receptors (BBARs), the solubility of Li₂O or Li₂O₂ in carbonate based solvents was significantly enhanced. In addition, the Li⁺ transference numbers of these new electrolytes measured were as high as 0.7, which are more than 100% higher than the values for the conventional electrolytes for lithium-ion batteries. The room-temperature conductivities are around 1 × 10⁻³ S/cm. These new electrolytes are compatible with LiMn₂O₄ cathode for lithium-ion batteries.     

发展用户接入网的策略研究

用户接入网的宽带化、数字化已迫在眉睫,也是通信下一步发展的关键。本文在技术经济分析的基础上对中国用户接入网的发展策略提出了一些建议。     

An agent-based investigation into the new product development capability

The capability to bring products to market which comply with quality, cost and development time goals is vital to the survival of firms in a competitve environment. New product development comprises knowledge creation and search and can be organized in different ways. In this paper, we study the performance of several alternative organizational models for new product development using a model of distributed, self-adapting (learning) agents. The agents (a marketing and a production agent) are modelled via neural networks. The artificial new product development process analyzed starts with learning on the basis of an initial set of production and marketing data about possible products and their evaluation. Subsequently, in each step of the process, the agents search for a better product with their current models of the environment and, then, refine their representations based on additional prototypes generated (new learning data). Within this framework, we investigate the influence of different types of new product search methods and generating prototypes/learning according to the performance of individual agents and the organization as a whole. In particular, sequential, team-based Trial & Error and House of Quality guided search are combined with prototype sampling methods of different intensity and breadth; also, the complexity of the agents (number of hidden units) is varied. It turns out that both the knowledge base and the search procedure have a significant impact on the agents' generalization ability and success in new product development. Andreas Mild was born in Vienna, Austria, in 1973. He studied business administration in Vienna, in 2000 he received his Ph.D. from the Vienna University of Economics and Business Administration (WU). Since 2003 he is associated professor at the WU. He has been guest professor in Frankfurt, Germany, Sydney, Australia and Bangkok, Thailand. Previous research appeared in Journals such as MIS Quarterly, Management Science and Marketing Science. His research interests currently include agent-based models, new product development and recommender systems. Alfred Taudes was born in Vienna, Austria, in 1959. He studied business administration and management information systems (MIS) in Vienna (doctorate 1984), in 1991 he received his Ph.D. from the Vienna University of Economics and Business Administration (WU). He was assistant professor at the WU (1986–1991) and professor for MIS at the German Universities of Augsburg (1991), Münster (1991/92) and Essen (1992/93). Since 1993, he has been professor for MIS at the WU and Head of the Department for Production Management. Since 2000, Dr. Taudes has been speaker for the Special Research Area SFB # 010 (Adaptive Information Systems and Modelling in Economics and Management Science). His research interests currently include agent-based models of industry structures, management of innovation, technology management and business strategy.     

变频器功率单元采用电磁兼容原则的新结构研发

系统法是解决电磁兼容性的先进方法，它集中了电磁兼容方面的研究成果，根据电磁兼容要求进行最佳工程设计的方法。多电平单元串联电压源型变频器的功率单元新结构研发中，充分应用系统法，从设计开始就预测和分析电磁兼容性，并在设计、制造、组装和实验过程中不断对其电磁兼容性进行预测和分析，使在正式产品完成之前解决90％的电磁兼容问题。在新单元研发完成后，对其进行电磁兼容性能测试，一次性通过了电快速瞬变脉冲群、静电放电、电磁发射抗干扰度的严酷工业环境等级抗干扰测试。     

基于主动形状模型的人脸定位方法研究与实现

研究基于主动形状模型（ASM）的人脸定位的原理、方法和过程，包括计算新位置、计算形状和姿态参数、参数更新等，进行了实验并分析了结果。实验表明，主动形状模型用于人脸定位效果良好。     

300mm晶圆对半导体设备的挑战

300mm晶圆生产线必须采用新标准、新技术、新流程、新设备、新布局、新厂房和新设施等。因此,300mm晶圆向半导体设备提出了挑战。     

粘贴碳纤维布加固混凝土结构新技术

介绍了用于加固混凝土结构的碳纤维材料，简要分析了用碳纤维布加固混凝土结构构件的原理、方法及效果，说明了加固施工的一般工序。     

等离子烧结与等离子活化烧结

等离子烧结具有烧结速率极快、烧成温度高以及能量利用效率高等优点而成为新一代很有潜力的烧结工艺。本文对等离子烧结的发展与现状及其工作机理进行了综述。等离子烧结用于陶瓷及其复合材料尚处于起步阶段，但它必定会成功地用于新材料的制备。     

新经济时代下信息产业的发展

本文主要探讨了如何推动我国“新经济”的建立，以及如何在“新经济”环境下加快信息产业的发展。究竟什么样的经济才是“新经济”？“新经济”对这个世界上不同的国家、地区、经济群体意味着什么？新的经济理论又将对产业发展提供什么样的帮助？究竟“新经济”的特征有哪些？信息产业是最先体现“新经济”特征的产业，信息产业的特征也是“新经济”最典型的特征，而在“新经济”成长壮大的过程中，信息技术也将发挥极大的经济推动作用。主要表现在对传统经济的信息化结构改造上。工业、农业、商业、金融业和服务业等传统经济中的核心产业在采用信息技术进行改造后，将使得产业结构发生重要的变化，进而形成“新经济”结构下的“新产业”模式。     

电动自行车自充电系统设计

电动自行车近十几年的发展迅速,但是由于一般的电动自行车的电池都比较笨重,充电费时也使用了大量电能资源.本文通过电动自行车每一天平均损耗的电量确定所需太阳能电池板的功率,从而拟定电池板的面积尺寸,考虑外观及行车安全等诸多问题;设计了整个系统并进行了性能测试.