Hop to Hop的组播拥塞控制

提出了一种基于逐段的网络层组播拥塞控制机制,对其有效性进行了数学推证,证明了信息包在不同优先级的转发约束下,STSR拥塞控制模型的缓冲区共享策略发生拥塞的概率小于分用策略,证明了在组播信息包的优先级高于非组播信息包的前提下,具有组播转发优先的STSR组播拥塞控制模型其缓冲区共享策略,更优于具有同等优先级的组播拥控模型的共享策略,这一结果的取得对于拥塞控制的相关研究具有很大的指导意义。     

Analysis of supercritical carbon dioxide extracts from cones and leaves of a Humulus lupulus L cultivar

Extracts obtained by supercritical carbon dioxide extraction of cones and leaves of hop (Humulus lupulus L) at different combinations of temperature and pressure were analysed for their α- and β-acids and volatiles, using HPLC and GC respectively. The yield and composition of the mixtures of bitter compounds from the cones were largely influenced by the temperature and pressure applied during the extraction. Bitter compounds could not be detected in the extracts from the leaves. The most important volatile components identified were β-myrcene, β-caryophyllene and α-humulene. The extraction parameters also influenced the composition of the mixture of volatiles from the cones and leaves, 40°C and 20.0 MPa being optimum for the extraction of both bitter compounds and volatiles, which are thought to be important for the aroma of beer.     

网格状网络的设计探讨

网格状网络正日益成为核心传送网首选的建网方式。着重介绍了网格状网络的特点和优势，构建网格状网络需考虑的因素及步骤。     

Characterizing multi‐hop localization for Internet of things

Deployments over large geographical areas in the Internet of Things (IoT) pose a major challenge for single‐hop localization techniques, giving rise to applications of multi‐hop localizations. And while many proposals have been made on implementations for multi‐hop localization, a close understanding of its characteristics is yet to be established. Such an understanding is necessary, and is inevitable in extending the reliability of location based services in IoT. In this paper, we study the characteristics of multi‐hop localization and propose a new solution to enhance the performance of multi‐hop localization techniques. We first examine popular assumptions made in simulating multi‐hop localization techniques, and offer rectifications facilitating more realistic simulation models. We identify the introduced errors to follow the Gaussian distribution, and the estimated distance follows the Rayleigh distribution. We next use our simulation model to characterize the effect of the number of hops on localization in both dense and sparse deployments. We find that, contrary to common belief, it is better to use long hops in sparse deployments, while short hops are better in dense deployments – despite the traffic overhead. Finally, we propose a new solution that decreases and manages the overhead generated during the localization process. Copyright © 2016 John Wiley & Sons, Ltd.     

端到端数据包协议完整性审计系统的研究

提出了端到端数据包协议完整性审计系统模型，此系统模型包含网关审计器和具有跳完整性功能的路由交换设备。通过网关审计器去除外网数据流中的畸形数据包和分片的分片语义歧义性，保证进入内网的数据包为良性的。跳完整性校验对旧报文的重放、新报文的插入、报文修改和报文丢失进行完整性校验检查，以保证内网数据包的完整性。     

一类Hopfield型神经网络的概周期解

研究一类具概周期输入的Hopfield型神经网络模型,通过应用常微分方程定性理论证明了模型系统概周期解、有界解的存在唯一性及概周期吸引子的存在性。     

Energy Efficient Forwarding Algorithm in Opportunistic Networks

In opportunistic networks,a successful message transmission between node pairs depends on the message size,the transmission speed and the connection duration time.This paper proposes a new message forwarding algorithm to improve the message delivery ratio and reduce the energy consumption.Previous encounter characteristics between nodes are used to estimate future connection duration time using a three point estimation method.Furthermore,the buffer utilization of nodes is used as a weight for the likelihoods to meet destinations according to the hop count of messages stored in the buffer.The simulation results show that the proposed forwarding algorithm achieves higher delivery ratio and less overhead ratio than the other four popular routing protocols.In addition,the proposed algorithm gains a better average residual energy performance among all the compared protocols.     

TUDIES ON THE FATTY ACID COMPOSITION OF HOP EXTRACT

Studies on fatty acids composition of hop extract obtained from Vurtenberg hop by extraction with a threecomponent mixture was carried out. It has been established that the content of fatty acids in hop extract is 0.3% ±5%. Fatty acids composition was determined by Gas-chromatographic analysis. The presence of the following unsaturated fatty acids has been proven: C_16:1; C_18:1; C_18:2; C_18:3; C_20:1 which represent about 40% of the general content of fatty acids in the extract.     

基于贝叶斯稀疏学习的多跳频信号频率跟踪方法

以往的跳频信号参数盲估计方法大多难以适应多个信号同时存在的情况,且需要积累一定数量的样本以后才能从中提取所需要的信息.为了稳定实时地跟踪跳频信号的频率,该文提出一种利用贝叶斯稀疏学习的单/多通道跳频信号频率估计和跳变时刻检测方法来实现多跳频信号频率的实时跟踪.首先建立了多跳频信号的稀疏表示模型,然后介绍了多观测贝叶斯稀疏学习算法及跳变时刻实时检测方法,最后仿真结果验证方法的有效性.     

酒花香气成分的检测及富含典型酒花香气啤酒的试验研究

单萜类物质是贡献啤酒酒花香气的重要成分。本研究在100L中试规模,原麦汁浓度为14°P,苦味质为20BU的条件下,从不同酒花添加工艺、添加量和品种三方面分析了啤酒中8种单萜类酒花香气物质的含量,并进行感官品评,发现在发酵罐中添加l％o香花的效果最好,啤酒风格因酒花品种不同而有异。8种酒花香气物质中里那醇、香叶醇、口．香茅醇和α-萜品醇最为重要,其啤酒中的含量与酒花中里那醇和香叶醇含量密切相关,前三者与前人研究-致,但本研究发现“α-萜品醇”也是重要香气物质之-。但啤酒中的酒花香气物质含量高,酒花香味不-定强,这可能与其构型有关,因此,又研究了三种酒花在啤酒酿造过程中酒花香气物质的同分异构体,包括（R）-（-）-里那醇、（S）-（＋）-里那醇、（-）-α-萜品醇、（十）-α-萜品醇、（R]-（＋）-卢-香茅醇、（S）-（-）-卢-香茅醇的含量。研究发现酒花品种的差异会引起同分异构体含量及比例的显著差异,加上其阈值的变化。进-步验证了同分异构体对啤酒中酒花香味的影响。