基于非竞争机制的改进GAF拓扑控制算法

能量问题是制约无线传感器网络发展和应用的瓶颈之一。为均衡网络节点的能量消耗,延长网络的生命周期,需要建立高效的拓扑控制机制。在深入研究GAF算法的基础上,提出了一种基于非竞争机制的改进算法。利用建立的适合度函数和顺序表优化了簇头的选举策略;通过改进虚拟单元格的划分方法,并推导出动态剩余能量阈值估算公式,有效地改善了GAF算法的相关性能。仿真结果表明,改进算法对于减少拓扑控制耗费、延长网络生命周期具有显著效果。     

关于I/O模拟的讨论

详细分析Windows的I/O机制,提出了分别在用户级、系统级、驱动级的I/O模拟操作,通过实际案例和源代码分享在I/O模拟上的得失,着重介绍鼠标与键盘的模拟。     

基于Boost消息机制研究与实现

消息通信机制可以有效的简化系统设计,增强系统的可扩展性。Boost Signal/Slot机制,为在进行消息机制开发提供了有力的工具。以Boost为基础,分析了Boost消息机制的实现方式,通过引入一个简单实例,演示了利用Boost构造消息机制的基本方法。     

Quadratic polynomial guided fuzzy C-means and dual attention mechanism for medical image segmentation

Medical image segmentation is the most complex and important task in the field of medical image processing and analysis, as it is linked to disease diagnosis accuracy. However, due to the medical image's high complexity and noise, segmentation performance is limited. We propose a novel quadratic polynomial guided fuzzy C-means and dual attention mechanism composite network model architecture to address the aforementioned issues (QPFC-DA). It has mechanisms for channel and spatial edge attention, which guide the content and edge segmentation branches, respectively. The bi-directional long short-term memory network was added after the two content segmentation branches to better integrate multi-scale features and prevent the loss of important features. Furthermore, the fuzzy C-means algorithm guided by the quadratic polynomial can better distinguish the image's weak edge regions and has a degree of noise resistance, resulting in a membership matrix with less ambiguity and a more reliable segmentation result. We also conducted comparison and ablation experiments on three medical data sets. The experimental results show that this method is superior to several other well-known methods.     

CoGCN: Combining co‐attention with graph convolutional network for entity linking with knowledge graphs

Entity linking is a fundamental task in natural language processing. The task of entity linking with knowledge graphs aims at linking mentions in text to their correct entities in a knowledge graph like DBpedia or YAGO2. Most of existing methods rely on hand‐designed features to model the contexts of mentions and entities, which are sparse and hard to calibrate. In this paper, we present a neural model that first combines co‐attention mechanism with graph convolutional network for entity linking with knowledge graphs, which extracts features of mentions and entities from their contexts automatically. Specifically, given the context of a mention and one of its candidate entities' context, we introduce the co‐attention mechanism to learn the relatedness between the mention context and the candidate entity context, and build the mention representation in consideration of such relatedness. Moreover, we propose a context‐aware graph convolutional network for entity representation, which takes both the graph structure of the candidate entity and its relatedness with the mention context into consideration. Experimental results show that our model consistently outperforms the baseline methods on five widely used datasets.     

IPv6在QoS上的三项重要改进

本文主要分析了IPv6相对于IPv4在QoS上所做的基本报头、ICMP控制机制及基本报头中的QoS元素三项改进,从而为有效支持QoS提供理论支持。     

碳质金矿中碳质物及其“劫金”机理研究进展

碳质金矿是重要的难处理金矿资源之一,碳质物“劫金”是金浸出率低下的主要原因。碳质物组分复杂,不同组分的碳质物的“劫金”能力和“劫金”行为存在差异,磨矿和浸出环节对碳质物的“劫金”能力也会产生影响,这些因素均能直接影响金的浸出率。通过系统总结碳质金矿中碳质物在组成特征、“劫金”机理及“劫金”能力的影响因素等方面的研究进展,对碳质物“劫金”机理现有研究工作的不足及未来研究方向进行了探讨,为碳质金矿碳质物劫金机理及预处理工艺的研究提供了重要参考。     

高压水清除氧化皮技术

本文系统地介绍了联邦德国Werner and Pfteiderer公司用高压水清除轧件及锻件表面氧化皮的新技术,包括高压水清除氧化皮的机理,水耗量及压力计算、喷嘴的设计、液压系统及轧制钢板和锻件表面氧化皮的高压水清理装置     

Accelerating sequential programs on commodity multi-core processors

A recently proposed pipelined multithreading (PMT) technique exhibits wide applicability in parallelizing general sequential programs on multi-core processors. However, significant inter-core communication overhead limits PMT performance and prevents its commercial utilization. A simple and effective clustered pipelined multithreading (CPMT) approach is presented to accelerate sequential programs on commodity multi-core processors. This CPMT technique adopts a clustered communication mechanism that can yield very low average communication overhead by eliminating false sharing as well as reducing communication operation and transit delays in the software-only approach. A single-producer/single-consumer concurrent lock-free clusteredQueue algorithm based on a two-level queue structure is also proposed. The accuracy of CPMT is theoretically demonstrated. The performances of the algorithm and CPMT are evaluated on a commodity AMD Phenom four-core processor. The number of enqueue and dequeue times of the algorithm are 20.8 and 23 cycles given an appropriate parameter, respectively. The speedup of CPMT ranges from 13.1% to 119.8% for typical loops extracted from the SPEC CPU 2000 benchmark suite.     

杀虫植物的研究新进展及应用发展前景

介绍了近几年杀虫植物研究的新进展，主要包括楝科、卫矛科、豆科、菊科、胡椒科、百部科、瑞香科等科杀虫植物的作用方式和部分植物的有效成分与作用机制及杀虫植物的应用概况，并分析了其应用发展前景。