初探民间竹制品之设计意匠——以浙江省缙云地区竹制品的研究为例

英国学者李约瑟在深入研究中国科技史后认为,东亚文明乃是"竹子文明,中国人民的血液里流着竹子的文化"。我国不仅竹资源丰富,更是在竹资源的开发与利用上历史最为悠久的国家。我国南方有着大面积的竹产地,竹子及竹制品对当地的社会经济、民俗文化都有很大的影响。如何对"竹"这一传统材料进行创新性的开发和利用,最大限度的实现竹自身的价值,使制竹产业焕发出新的活力,成为当前研究的主要问题。     

Utility function of TCP

Understanding the TCP congestion control mechanism from a global optimization point of view is not only important in its own right, but also crucial to the design of other transport layer traffic control protocols with provable properties. In this paper, we derive a global utility function and the corresponding optimal control law, known as TCP control law, which maximizes the global utility. The TCP control law captures the essential behaviors of TCP, including slow start, congestion avoidance, and the binary nature of congestion feedback in TCP. We find that the utility function of TCP is linear in the slow start phase and is proportional to the additive increase rate and approaches the well-known logarithm function as the data rate becomes large in the congestion avoidance phase. We also find that understanding the slow start phase with a fixed threshold is critical to the design of new transport layer control protocols to enable quality of service features. Finally, as an application, we design a Minimum Rate Guaranteed (MRG) traffic control law that shares the same utility function as the TCP control law. Our simulation study of the MRG control law indicates that it is indeed TCP friendly and can provide minimum rate guarantee as long as the percentage of network resource consumed by the MRG flows is moderately small.     

资源受限网络中高效XML交换的性能评估

为了研究高效XML交换(EXI)在资源受限网络中的使用情况,文中基于传感器观测服务的真实数据,对四种交换模式下的数据大小进行了对比:XML、高效XML、Gzip压缩的XML以及开启压缩模式的高效XML。通过在ns-2中建模,对资源受限网络环境下各交换格式的平均成功率、平均延时、平均能量消耗等性能进行了分析。实验结果表明,无论是否开启压缩模式,高效XML比XML具有更小的体积、更高的成功率、更短的延时和更少的能量消耗。高效XML交换更加适合于资源受限网络。     

模糊系统逼近理论：现状与展望

近年来,各类模糊系统已被证明是万能函数逼 近器,它们能实现任意的非线性连续控制规律和动态模型．本文综述与分析了模糊系统逼近 理论研究的最新成果,并指出了进一步研究工作的方向．     

论室内色彩设计的人性化

人性化的色彩设计理念体现出对使用者的人文精神关怀。本文从色彩的基本特征出发,对室内设计色彩人性化问题加以探讨。以理论和实际相结合的论述手法,探索室内环境人性化色彩设计的方法。人性化是未来室内环境色彩设计的必然趋势。     

A Fast Search Algorithm for a Large Fuzzy Database

In this paper, we propose a fast search algorithm for a large fuzzy database that stores iris codes or data with a similar binary structure. The fuzzy nature of iris codes and their high dimensionality render many modern search algorithms, mainly relying on sorting and hashing, inadequate. The algorithm that is used in all current public deployments of iris recognition is based on a brute force exhaustive search through a database of iris codes, looking for a match that is close enough. Our new technique, Beacon Guided Search (BGS), tackles this problem by dispersing a multitude of ldquobeaconsrdquo in the search space. Despite random bit errors, iris codes from the same eye are more likely to collide with the same beacons than those from different eyes. By counting the number of collisions, BGS shrinks the search range dramatically with a negligible loss of precision. We evaluate this technique using 632,500 iris codes enrolled in the United Arab Emirates (UAE) border control system, showing a substantial improvement in search speed with a negligible loss of accuracy. In addition, we demonstrate that the empirical results match theoretical predictions.